{ "verdict": "APPROVED", "rejection_reason": "NONE", "audit_details": { "target_invoked": true, "pre_conditions_tested": true, "post_conditions_tested": true, "test_data_used": true }, "feedback": "Both test files have successfully passed the audit. The 'task_log_viewer.test.js' suite now correctly imports and mounts the real Svelte component using Test Library, fully eliminating the logic mirror/tautology issue. The 'test_logger.py' suite now properly implements negative tests for the @PRE constraint in 'belief_scope' and fully verifies all @POST effects triggered by 'configure_logger'." }

- Replace local backend.log reading with Superset API /log/ fetch
- Update DashboardValidationPlugin to use SupersetClient
- Filter logs by dashboard_id and last 24 hours
- Update spec FR-006 to reflect API usage

.agents/workflows/audit-test.md

@@ -0,0 +1,51 @@
+---
+description: Audit AI-generated unit tests. Your goal is to aggressively search for "Test Tautologies", "Logic Echoing", and "Contract Negligence". You are the final gatekeeper. If a test is meaningless, you MUST reject it.
+---
+
+**ROLE:** Elite Quality Assurance Architect and Red Teamer.
+**OBJECTIVE:** Audit AI-generated unit tests. Your goal is to aggressively search for "Test Tautologies", "Logic Echoing", and "Contract Negligence". You are the final gatekeeper. If a test is meaningless, you MUST reject it.
+
+**INPUT:**
+1. SOURCE CODE (with GRACE-Poly `[DEF]` Contract: `@PRE`, `@POST`, `@TEST_DATA`).
+2. GENERATED TEST CODE.
+
+### I. CRITICAL ANTI-PATTERNS (REJECT IMMEDIATELY IF FOUND):
+
+1. **The Tautology (Self-Fulfilling Prophecy):**
+   - *Definition:* The test asserts hardcoded values against hardcoded values without executing the core business logic, or mocks the actual function being tested.
+   - *Example of Failure:* `assert 2 + 2 == 4` or mocking the class under test so that it returns exactly what the test asserts.
+
+2. **The Logic Mirror (Echoing):**
+   - *Definition:* The test re-implements the exact same algorithmic logic found in the source code to calculate the `expected_result`. If the original logic is flawed, the test will falsely pass.
+   - *Rule:* Tests must assert against **static, predefined outcomes** (from `@TEST_DATA` or explicit constants), NOT dynamically calculated outcomes using the same logic as the source.
+
+3. **The "Happy Path" Illusion:**
+   - *Definition:* The test suite only checks successful executions but ignores the `@PRE` conditions (Negative Testing).
+   - *Rule:* Every `@PRE` tag in the source contract MUST have a corresponding test that deliberately violates it and asserts the correct Exception/Error state.
+
+4. **Missing Post-Condition Verification:**
+   - *Definition:* The test calls the function but only checks the return value, ignoring `@SIDE_EFFECT` or `@POST` state changes (e.g., failing to verify that a DB call was made or a Store was updated).
+
+### II. AUDIT CHECKLIST
+
+Evaluate the test code against these criteria:
+1. **Target Invocation:** Does the test actually import and call the function/component declared in the `@RELATION: VERIFIES` tag?
+2. **Contract Alignment:** Does the test suite cover 100% of the `@PRE` (negative tests) and `@POST` (assertions) conditions from the source contract?
+3. **Data Usage:** Does the test use the exact scenarios defined in `@TEST_DATA`?
+4. **Mocking Sanity:** Are external dependencies mocked correctly WITHOUT mocking the system under test itself?
+
+### III. OUTPUT FORMAT
+
+You MUST respond strictly in the following JSON format. Do not add markdown blocks outside the JSON.
+
+{
+  "verdict": "APPROVED" | "REJECTED",
+  "rejection_reason": "TAUTOLOGY" | "LOGIC_MIRROR" | "WEAK_CONTRACT_COVERAGE" | "OVER_MOCKED" | "NONE",
+  "audit_details": {
+    "target_invoked": true/false,
+    "pre_conditions_tested": true/false,
+    "post_conditions_tested": true/false,
+    "test_data_used": true/false
+  },
+  "feedback": "Strict, actionable feedback for the test generator agent. Explain exactly which anti-pattern was detected and how to fix it."
+}

.agents/workflows/semantic.md

@@ -0,0 +1,10 @@
+---
+description: semantic
+---
+
+      You are Semantic Agent responsible for maintaining the semantic integrity of the codebase. Your primary goal is to ensure that all code entities (Modules, Classes, Functions, Components) are properly annotated with semantic anchors and tags as defined in `.ai/standards/semantics.md`.
+      Your core responsibilities are: 1.  **Semantic Mapping**: You run and maintain the `generate_semantic_map.py` script to generate up-to-date semantic maps (`semantics/semantic_map.json`, `.ai/PROJECT_MAP.md`) and compliance reports (`semantics/reports/*.md`). 2.  **Compliance Auditing**: You analyze the generated compliance reports to identify files with low semantic coverage or parsing errors. 3.  **Semantic Enrichment**: You actively edit code files to add missing semantic anchors (`[DEF:...]`, `[/DEF:...]`) and mandatory tags (`@PURPOSE`, `@LAYER`, etc.) to improve the global compliance score. 4.  **Protocol Enforcement**: You strictly adhere to the syntax and rules defined in `.ai/standards/semantics.md` when modifying code.
+      You have access to the full codebase and tools to read, write, and execute scripts. You should prioritize fixing "Critical Parsing Errors" (unclosed anchors) before addressing missing metadata.
+    whenToUse: Use this mode when you need to update the project's semantic map, fix semantic compliance issues (missing anchors/tags/DbC ), or analyze the codebase structure. This mode is specialized for maintaining the `.ai/standards/semantics.md` standards.
+    description: Codebase semantic mapping and compliance expert
+    customInstructions: Always check `semantics/reports/` for the latest compliance status before starting work. When fixing a file, try to fix all semantic issues in that file at once. After making a batch of fixes, run `python3 generate_semantic_map.py` to verify improvements.

.ai/ROOT.md

@@ -0,0 +1,41 @@
+# [DEF:Project_Knowledge_Map:Root]
+# @TIER: CRITICAL
+# @PURPOSE: Global navigation map for AI-Agent (GRACE Knowledge Graph).
+# @LAST_UPDATE: 2026-02-20
+
+## 1. SYSTEM STANDARDS (Rules of the Game)
+Strict policies and formatting rules.
+*   **Constitution:** High-level architectural and business invariants.
+    *   Ref: `.ai/standards/constitution.md` -> `[DEF:Std:Constitution]`
+*   **Architecture:** Service boundaries and tech stack decisions.
+    *   Ref: `.ai/standards/architecture.md` -> `[DEF:Std:Architecture]`
+*   **Plugin Design:** Rules for building and integrating Plugins.
+    *   Ref: `.ai/standards/plugin_design.md` -> `[DEF:Std:Plugin]`
+*   **API Design:** Rules for FastAPI endpoints and Pydantic models.
+    *   Ref: `.ai/standards/api_design.md` -> `[DEF:Std:API_FastAPI]`
+*   **UI Design:** SvelteKit and Tailwind CSS component standards.
+    *   Ref: `.ai/standards/ui_design.md` -> `[DEF:Std:UI_Svelte]`
+*   **Semantic Mapping:** Using `[DEF:]` and belief scopes.
+    *   Ref: `.ai/standards/semantics.md` -> `[DEF:Std:Semantics]`
+
+## 2. FEW-SHOT EXAMPLES (Patterns)
+Use these for code generation (Style Transfer).
+*   **FastAPI Route:** Reference implementation of a task-based route.
+    *   Ref: `.ai/shots/backend_route.py` -> `[DEF:Shot:FastAPI_Route]`
+*   **Svelte Component:** Reference implementation of a sidebar/navigation component.
+    *   Ref: `.ai/shots/frontend_component.svelte` -> `[DEF:Shot:Svelte_Component]`
+*   **Plugin Module:** Reference implementation of a task plugin.
+    *   Ref: `.ai/shots/plugin_example.py` -> `[DEF:Shot:Plugin_Example]`
+*   **Critical Module:** Core banking transaction processor with ACID guarantees.
+    *   Ref: `.ai/shots/critical_module.py` -> `[DEF:Shot:Critical_Module]`
+
+## 3. DOMAIN MAP (Modules)
+*   **Module Map:** `.ai/MODULE_MAP.md` -> `[DEF:Module_Map]`
+*   **Project Map:** `.ai/PROJECT_MAP.md` -> `[DEF:Project_Map]`
+*   **Apache Superset OpenAPI:** `.ai/openapi.json` -> `[DEF:Doc:Superset_OpenAPI]`
+*   **Backend Core:** `backend/src/core` -> `[DEF:Module:Backend_Core]`
+*   **Backend API:** `backend/src/api` -> `[DEF:Module:Backend_API]`
+*   **Frontend Lib:** `frontend/src/lib` -> `[DEF:Module:Frontend_Lib]`
+*   **Specifications:** `specs/` -> `[DEF:Module:Specs]`
+
+# [/DEF:Project_Knowledge_Map]

.ai/knowledge/test_import_patterns.md

@@ -0,0 +1,63 @@
+# Backend Test Import Patterns
+
+## Problem
+
+The `ss-tools` backend uses **relative imports** inside packages (e.g., `from ...models.task import TaskRecord` in `persistence.py`). This creates specific constraints on how and where tests can be written.
+
+## Key Rules
+
+### 1. Packages with `__init__.py` that re-export via relative imports
+
+**Example**: `src/core/task_manager/__init__.py` imports `.manager` → `.persistence` → `from ...models.task` (3-level relative import).
+
+**Impact**: Co-located tests in `task_manager/__tests__/` **WILL FAIL** because pytest discovers `task_manager/` as a top-level package (not as `src.core.task_manager`), and the 3-level `from ...` goes beyond the top-level.
+
+**Solution**: Place tests in `backend/tests/` directory (where `test_task_logger.py` already lives). Import using `from src.core.task_manager.XXX import ...` which works because `backend/` is the pytest rootdir.
+
+### 2. Packages WITHOUT `__init__.py`:
+
+**Example**: `src/core/auth/` has NO `__init__.py`.
+
+**Impact**: Co-located tests in `auth/__tests__/` work fine because pytest doesn't try to import a parent package `__init__.py`.
+
+### 3. Modules with deeply nested relative imports
+
+**Example**: `src/services/llm_provider.py` uses `from ..models.llm import LLMProvider` and `from ..plugins.llm_analysis.models import LLMProviderConfig`.
+
+**Impact**: Direct import (`from src.services.llm_provider import EncryptionManager`) **WILL FAIL** if the relative chain triggers a module not in `sys.path` or if it tries to import beyond root.
+
+**Solution**: Either (a) re-implement the tested logic standalone in the test (for small classes like `EncryptionManager`), or (b) use `unittest.mock.patch` to mock the problematic imports before importing the module.
+
+## Working Test Locations
+
+| Package | `__init__.py`? | Relative imports? | Co-located OK? | Test location |
+|---|---|---|---|---|
+| `core/task_manager/` | YES | `from ...models.task` (3-level) | **NO** | `backend/tests/` |
+| `core/auth/` | NO | N/A | YES | `core/auth/__tests__/` |
+| `core/logger/` | NO | N/A | YES | `core/logger/__tests__/` |
+| `services/` | YES (empty) | shallow | YES | `services/__tests__/` |
+| `services/reports/` | YES | `from ...core.logger` | **NO** (most likely) | `backend/tests/` or mock |
+| `models/` | YES | shallow | YES | `models/__tests__/` |
+
+## Safe Import Patterns for Tests
+
+```python
+# In backend/tests/test_*.py:
+import sys
+from pathlib import Path
+sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
+
+# Then import:
+from src.core.task_manager.models import Task, TaskStatus
+from src.core.task_manager.persistence import TaskPersistenceService
+from src.models.report import TaskReport, ReportQuery
+```
+
+## Plugin ID Mapping (for report tests)
+
+The `resolve_task_type()` uses **hyphenated** plugin IDs:
+- `superset-backup` → `TaskType.BACKUP`
+- `superset-migration` → `TaskType.MIGRATION`
+- `llm_dashboard_validation` → `TaskType.LLM_VERIFICATION`
+- `documentation` → `TaskType.DOCUMENTATION`
+- anything else → `TaskType.UNKNOWN`

.ai/shots/backend_route.py

@@ -0,0 +1,65 @@
+# [DEF:BackendRouteShot:Module]
+# @TIER: STANDARD
+# @SEMANTICS: Route, Task, API, Async
+# @PURPOSE: Reference implementation of a task-based route using GRACE-Poly.
+# @LAYER: Interface (API)
+# @RELATION: IMPLEMENTS -> [DEF:Std:API_FastAPI]
+# @INVARIANT: TaskManager must be available in dependency graph.
+
+from typing import Dict, Any
+from fastapi import APIRouter, Depends, HTTPException, status
+from pydantic import BaseModel
+from ...core.logger import belief_scope
+from ...core.task_manager import TaskManager, Task
+from ...core.config_manager import ConfigManager
+from ...dependencies import get_task_manager, get_config_manager, get_current_user
+
+router = APIRouter()
+
+class CreateTaskRequest(BaseModel):
+    plugin_id: str
+    params: Dict[str, Any]
+
+@router.post("/tasks", response_model=Task, status_code=status.HTTP_201_CREATED)
+# [DEF:create_task:Function]
+# @PURPOSE: Create and start a new task using TaskManager. Non-blocking.
+# @PARAM: request (CreateTaskRequest) - Plugin and params.
+# @PARAM: task_manager (TaskManager) - Async task executor.
+# @PRE: plugin_id must match a registered plugin.
+# @POST: A new task is spawned; Task ID returned immediately.
+# @SIDE_EFFECT: Writes to DB, Trigger background worker.
+async def create_task(
+    request: CreateTaskRequest,
+    task_manager: TaskManager = Depends(get_task_manager),
+    config: ConfigManager = Depends(get_config_manager),
+    current_user = Depends(get_current_user)
+):
+    # Context Logging
+    with belief_scope("create_task"):
+        try:
+            # 1. Action: Configuration Resolution
+            timeout = config.get("TASKS_DEFAULT_TIMEOUT", 3600)
+
+            # 2. Action: Spawn async task
+            # @RELATION: CALLS -> task_manager.create_task
+            task = await task_manager.create_task(
+                plugin_id=request.plugin_id,
+                params={**request.params, "timeout": timeout}
+            )
+            return task
+            
+        except ValueError as e:
+             # 3. Recovery: Domain logic error mapping
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST, 
+                detail=str(e)
+            )
+        except Exception as e:
+            # @UX_STATE: Error feedback -> 500 Internal Error
+            raise HTTPException(
+                status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, 
+                detail="Internal Task Spawning Error"
+            )
+# [/DEF:create_task:Function]
+
+# [/DEF:BackendRouteShot:Module]

.ai/shots/critical_module.py

@@ -0,0 +1,79 @@
+# [DEF:TransactionCore:Module]
+# @TIER: CRITICAL
+# @SEMANTICS: Finance, ACID, Transfer, Ledger
+# @PURPOSE: Core banking transaction processor with ACID guarantees.
+# @LAYER: Domain (Core)
+# @RELATION: DEPENDS_ON -> [DEF:Infra:PostgresDB]
+# @RELATION: DEPENDS_ON -> [DEF:Infra:AuditLog]
+# @INVARIANT: Total system balance must remain constant (Double-Entry Bookkeeping).
+# @INVARIANT: Negative transfers are strictly forbidden.
+
+# @TEST_DATA: sufficient_funds -> {"from": "acc_A", "to": "acc_B", "amt": 100.00}
+# @TEST_DATA: insufficient_funds -> {"from": "acc_empty", "to": "acc_B", "amt": 1000.00}
+# @TEST_DATA: concurrency_lock -> {./fixtures/transactions.json#race_condition}
+
+from decimal import Decimal
+from typing import NamedTuple
+from ...core.logger import belief_scope
+from ...core.db import atomic_transaction, get_balance, update_balance
+from ...core.exceptions import BusinessRuleViolation
+
+class TransferResult(NamedTuple):
+    tx_id: str
+    status: str
+    new_balance: Decimal
+
+# [DEF:execute_transfer:Function]
+# @PURPOSE: Atomically move funds between accounts with audit trails.
+# @PARAM: sender_id (str) - Source account.
+# @PARAM: receiver_id (str) - Destination account.
+# @PARAM: amount (Decimal) - Positive amount to transfer.
+# @PRE: amount > 0; sender != receiver; sender_balance >= amount.
+# @POST: sender_balance -= amount; receiver_balance += amount; Audit Record Created.
+# @SIDE_EFFECT: Database mutation (Rows locked), Audit IO.
+#
+# @UX_STATE: Success -> Returns 200 OK + Transaction Receipt.
+# @UX_STATE: Error(LowBalance) -> 422 Unprocessable -> UI shows "Top-up needed" modal.
+# @UX_STATE: Error(System) -> 500 Internal -> UI shows "Retry later" toast.
+def execute_transfer(sender_id: str, receiver_id: str, amount: Decimal) -> TransferResult:
+    # Guard: Input Validation
+    if amount <= Decimal("0.00"):
+        raise BusinessRuleViolation("Transfer amount must be positive.")
+    if sender_id == receiver_id:
+        raise BusinessRuleViolation("Cannot transfer to self.")
+
+    with belief_scope("execute_transfer") as context:
+        context.logger.info("Initiating transfer", data={"from": sender_id, "to": receiver_id})
+
+        try:
+            # 1. Action: Atomic DB Transaction
+            # @RELATION: CALLS -> atomic_transaction
+            with atomic_transaction():
+                # Guard: State Validation (Strict)
+                current_balance = get_balance(sender_id, for_update=True)
+                
+                if current_balance < amount:
+                    # @UX_FEEDBACK: Triggers specific UI flow for insufficient funds
+                    context.logger.warn("Insufficient funds", data={"balance": current_balance})
+                    raise BusinessRuleViolation("INSUFFICIENT_FUNDS")
+
+                # 2. Action: Mutation
+                new_src_bal = update_balance(sender_id, -amount)
+                new_dst_bal = update_balance(receiver_id, +amount)
+
+                # 3. Action: Audit
+                tx_id = context.audit.log_transfer(sender_id, receiver_id, amount)
+                
+                context.logger.info("Transfer committed", data={"tx_id": tx_id})
+                return TransferResult(tx_id, "COMPLETED", new_src_bal)
+
+        except BusinessRuleViolation as e:
+            # Logic: Explicit re-raise for UI mapping
+            raise e
+        except Exception as e:
+            # Logic: Catch-all safety net
+            context.logger.error("Critical Transfer Failure", error=e)
+            raise RuntimeError("TRANSACTION_ABORTED") from e
+# [/DEF:execute_transfer:Function]
+
+# [/DEF:TransactionCore:Module]

.ai/shots/frontend_component.svelte

@@ -0,0 +1,76 @@
+<!-- [DEF:FrontendComponentShot:Component] -->
+<!-- /**
+   * @TIER: CRITICAL
+   * @SEMANTICS: Task, Button, Action, UX
+   * @PURPOSE: Action button to spawn a new task with full UX feedback cycle.
+   * @LAYER: UI (Presentation)
+   * @RELATION: CALLS -> postApi
+   * @INVARIANT: Must prevent double-submission while loading.
+   * 
+   * @TEST_DATA: idle_state -> {"isLoading": false}
+   * @TEST_DATA: loading_state -> {"isLoading": true}
+   * 
+   * @UX_STATE: Idle -> Button enabled, primary color.
+   * @UX_STATE: Loading -> Button disabled, spinner visible.
+   * @UX_STATE: Error -> Toast notification triggers.
+   * 
+   * @UX_FEEDBACK: Toast success/error.
+   * @UX_TEST: Idle -> {click: spawnTask, expected: isLoading=true}
+   * @UX_TEST: Success -> {api_resolve: 200, expected: toast.success called}
+   */
+   -->
+<script>
+  import { postApi } from "$lib/api.js";
+  import { t } from "$lib/i18n";
+  import { toast } from "$lib/stores/toast";
+
+  export let plugin_id = "";
+  export let params = {};
+
+  let isLoading = false;
+
+  // [DEF:spawnTask:Function]
+  /**
+   * @purpose Execute task creation request and emit user feedback.
+   * @pre plugin_id is resolved and request params are serializable.
+   * @post isLoading is reset and user receives success/error feedback.
+   */
+  async function spawnTask() {
+    isLoading = true;
+    console.log("[FrontendComponentShot][Loading] Spawning task...");
+    
+    try {
+      // 1. Action: API Call
+      const response = await postApi("/api/tasks", {
+        plugin_id,
+        params
+      });
+
+      // 2. Feedback: Success
+      if (response.task_id) {
+        console.log("[FrontendComponentShot][Success] Task created.");
+        toast.success($t.tasks.spawned_success);
+      }
+    } catch (error) {
+      // 3. Recovery: User notification
+      console.log("[FrontendComponentShot][Error] Failed:", error);
+      toast.error(`${$t.errors.task_failed}: ${error.message}`);
+    } finally {
+      isLoading = false;
+    }
+  }
+  // [/DEF:spawnTask:Function]
+</script>
+
+<button
+  on:click={spawnTask}
+  disabled={isLoading}
+  class="btn-primary flex items-center gap-2"
+  aria-busy={isLoading}
+>
+  {#if isLoading}
+    <span class="animate-spin" aria-label="Loading">🌀</span>
+  {/if}
+  <span>{$t.actions.start_task}</span>
+</button>
+<!-- [/DEF:FrontendComponentShot:Component] -->

.ai/shots/plugin_example.py

@@ -0,0 +1,64 @@
+# [DEF:PluginExampleShot:Module]
+# @TIER: STANDARD
+# @SEMANTICS: Plugin, Core, Extension
+# @PURPOSE: Reference implementation of a plugin following GRACE standards.
+# @LAYER: Domain (Business Logic)
+# @RELATION: INHERITS -> PluginBase
+# @INVARIANT: get_schema must return valid JSON Schema.
+
+from typing import Dict, Any, Optional
+from ..core.plugin_base import PluginBase
+from ..core.task_manager.context import TaskContext
+
+class ExamplePlugin(PluginBase):
+    @property
+    def id(self) -> str:
+        return "example-plugin"
+
+    # [DEF:get_schema:Function]
+    # @PURPOSE: Defines input validation schema.
+    # @POST: Returns dict compliant with JSON Schema draft 7.
+    def get_schema(self) -> Dict[str, Any]:
+        return {
+            "type": "object",
+            "properties": {
+                "message": {
+                    "type": "string",
+                    "default": "Hello, GRACE!",
+                }
+            },
+            "required": ["message"],
+        }
+    # [/DEF:get_schema:Function]
+
+    # [DEF:execute:Function]
+    # @PURPOSE: Core plugin logic with structured logging and scope isolation.
+    # @PARAM: params (Dict) - Validated input parameters.
+    # @PARAM: context (TaskContext) - Execution tools (log, progress).
+    # @SIDE_EFFECT: Emits logs to centralized system.
+    async def execute(self, params: Dict, context: Optional = None):
+        message = params
+        
+        # 1. Action: System-level tracing (Rule VI)
+        with belief_scope("example_plugin_exec") as b_scope:
+            if context:
+                # Task Logs: Пишем в пользовательский контекст выполнения задачи
+                # @RELATION: BINDS_TO -> context.logger
+                log = context.logger.with_source("example_plugin")
+                
+                b_scope.logger.info("Using provided TaskContext") # System log
+                log.info("Starting execution", data={"msg": message}) # Task log
+                
+                # 2. Action: Progress Reporting
+                log.progress("Processing...", percent=50)
+                
+                # 3. Action: Finalize
+                log.info("Execution completed.")
+            else:
+                # Standalone Fallback: Замыкаемся на системный scope
+                b_scope.logger.warning("No TaskContext provided. Running standalone.")
+                b_scope.logger.info("Standalone execution", data={"msg": message})
+                print(f"Standalone: {message}")
+    # [/DEF:execute:Function]
+
+# [/DEF:PluginExampleShot:Module]

.ai/standards/api_design.md

@@ -0,0 +1,47 @@
+# [DEF:Std:API_FastAPI:Standard]
+# @TIER: CRITICAL
+# @PURPOSE: Unification of all FastAPI endpoints following GRACE-Poly.
+# @LAYER: UI (API)
+# @INVARIANT: All non-trivial route logic must be wrapped in `belief_scope`.
+# @INVARIANT: Every module and function MUST have `[DEF:]` anchors and metadata.
+
+## 1. ROUTE MODULE DEFINITION
+Every API route file must start with a module definition header:
+```python
+# [DEF:ModuleName:Module]
+# @TIER: [CRITICAL | STANDARD | TRIVIAL]
+# @SEMANTICS: list, of, keywords
+# @PURPOSE: High-level purpose of the module.
+# @LAYER: UI (API)
+# @RELATION: DEPENDS_ON -> [OtherModule]
+```
+
+## 2. FUNCTION DEFINITION & CONTRACT
+Every endpoint handler must be decorated with `[DEF:]` and explicit metadata before the implementation:
+```python
+@router.post("/endpoint", response_model=ModelOut)
+# [DEF:function_name:Function]
+# @PURPOSE: What it does (brief, high-entropy).
+# @PARAM: param_name (Type) - Description.
+# @PRE: Conditions before execution (e.g., auth, existence).
+# @POST: Expected state after execution.
+# @RETURN: What it returns.
+async def function_name(...):
+    with belief_scope("function_name"):
+        # Implementation
+        pass
+# [/DEF:function_name:Function]
+```
+
+## 3. DEPENDENCY INJECTION & CORE SERVICES
+*   **Auth:** `Depends(get_current_user)` for authentication.
+*   **Perms:** `Depends(has_permission("resource", "ACTION"))` for RBAC.
+*   **Config:** Use `Depends(get_config_manager)` for settings. Hardcoding is FORBIDDEN.
+*   **Tasks:** Long-running operations must be executed via `TaskManager`. API routes should return Task ID and be non-blocking.
+
+## 4. ERROR HANDLING
+*   Raise `HTTPException` from the router layer.
+*   Use `try-except` blocks within `belief_scope` to ensure proper error logging and classification.
+*   Do not leak internal implementation details in error responses.
+
+# [/DEF:Std:API_FastAPI]

.ai/standards/architecture.md

@@ -0,0 +1,25 @@
+# [DEF:Std:Architecture:Standard]
+# @TIER: CRITICAL
+# @PURPOSE: Core architectural decisions and service boundaries.
+# @LAYER: Infra
+# @INVARIANT: ss-tools MUST remain a standalone service (Orchestrator).
+# @INVARIANT: Backend: FastAPI, Frontend: SvelteKit.
+
+## 1. ORCHESTRATOR VS INSTANCE
+*   **Role:** ss-tools is a "Manager of Managers". It sits ABOVE Superset environments.
+*   **Isolation:** Do not integrate directly into Superset as a plugin to maintain multi-environment management capability.
+*   **Tech Stack:** 
+    *   Backend: Python 3.9+ with FastAPI (Asynchronous logic).
+    *   Frontend: SvelteKit + Tailwind CSS (Reactive UX).
+
+## 2. COMPONENT BOUNDARIES
+*   **Plugins:** All business logic must be encapsulated in Plugins (`backend/src/plugins/`).
+*   **TaskManager:** All long-running operations MUST be handled by the TaskManager.
+*   **Security:** Independent RBAC system managed in `auth.db`.
+
+## 3. INTEGRATION STRATEGY
+*   **Superset API:** Communication via REST API.
+*   **Database:** Local SQLite for metadata (`tasks.db`, `auth.db`, `migrations.db`).
+*   **Filesystem:** Local storage for backups and git repositories.
+
+# [/DEF:Std:Architecture]

.ai/standards/constitution.md

@@ -0,0 +1,36 @@
+# [DEF:Std:Constitution:Standard]
+# @TIER: CRITICAL
+# @PURPOSE: Supreme Law of the Repository. High-level architectural and business invariants.
+# @VERSION: 2.3.0
+# @LAST_UPDATE: 2026-02-19
+# @INVARIANT: Any deviation from this Constitution constitutes a build failure.
+
+## 1. CORE PRINCIPLES
+
+### I. Semantic Protocol Compliance
+*   **Ref:** `[DEF:Std:Semantics]` (formerly `semantic_protocol.md`)
+*   **Law:** All code must adhere to the Axioms (Meaning First, Contract First, etc.).
+*   **Compliance:** Strict matching of Anchors (`[DEF]`), Tags (`@KEY`), and structures is mandatory.
+
+### II. Modular Plugin Architecture
+*   **Pattern:** Everything is a Plugin inheriting from `PluginBase`.
+*   **Centralized Config:** Use `ConfigManager` via `get_config_manager()`. Hardcoding is FORBIDDEN.
+
+### III. Unified Frontend Experience
+*   **Styling:** Tailwind CSS First. Minimize scoped `<style>`.
+*   **i18n:** All user-facing text must be in `src/lib/i18n`.
+*   **API:** Use `requestApi` / `fetchApi` wrappers. Native `fetch` is FORBIDDEN.
+
+### IV. Security & RBAC
+*   **Permissions:** Every Plugin must define unique permission strings (e.g., `plugin:name:execute`).
+*   **Auth:** Mandatory registration in `auth.db`.
+
+### V. Independent Testability
+*   **Requirement:** Every feature must define "Independent Tests" for isolated verification.
+
+### VI. Asynchronous Execution
+*   **TaskManager:** Long-running operations must be async tasks.
+*   **Non-Blocking:** API endpoints return Task ID immediately.
+*   **Observability:** Real-time updates via WebSocket.
+
+# [/DEF:Std:Constitution]

.ai/standards/plugin_design.md

@@ -0,0 +1,32 @@
+# [DEF:Std:Plugin:Standard]
+# @TIER: CRITICAL
+# @PURPOSE: Standards for building and integrating Plugins.
+# @LAYER: Domain (Plugin)
+# @INVARIANT: All plugins MUST inherit from `PluginBase`.
+# @INVARIANT: All plugins MUST be located in `backend/src/plugins/`.
+
+## 1. PLUGIN CONTRACT
+Every plugin must implement the following properties and methods:
+*   `id`: Unique string (e.g., `"my-plugin"`).
+*   `name`: Human-readable name.
+*   `description`: Brief purpose.
+*   `version`: Semantic version.
+*   `get_schema()`: Returns JSON schema for input validation.
+*   `execute(params: Dict[str, Any], context: TaskContext)`: Core async logic.
+
+## 2. STRUCTURED LOGGING (TASKCONTEXT)
+Plugins MUST use `TaskContext` for logging to ensure proper source attribution:
+*   **Source Attribution:** Use `context.logger.with_source("src_name")` for specific operations (e.g., `"superset_api"`, `"git"`, `"llm"`).
+*   **Levels:**
+    *   `DEBUG`: Detailed diagnostics (API responses).
+    *   `INFO`: Operational milestones (start/end).
+    *   `WARNING`: Recoverable issues.
+    *   `ERROR`: Failures stopping execution.
+*   **Progress:** Use `context.logger.progress("msg", percent=XX)` for long-running tasks.
+
+## 3. BEST PRACTICES
+1. **Asynchronous Execution:** Always use `async/await` for I/O operations.
+2. **Schema Validation:** Ensure the `get_schema()` precisely matches the `execute()` input expectations.
+3. **Isolation:** Plugins should be self-contained and not depend on other plugins directly. Use core services (`ConfigManager`, `TaskManager`) via dependency injection or the provided `context`.
+
+# [/DEF:Std:Plugin]

.ai/standards/semantics.md

@@ -0,0 +1,118 @@
+### **SYSTEM STANDARD: GRACE-Poly (UX Edition)**
+
+ЗАДАЧА: Генерация кода (Python/Svelte).
+РЕЖИМ: Строгий. Детерминированный. Без болтовни.
+
+#### I. ЗАКОН (АКСИОМЫ)
+1. Смысл первичен. Код вторичен.
+2. Контракт (@PRE/@POST) — источник истины.
+**3. UX — это логика, а не декор. Состояния интерфейса — часть контракта.**
+4. Структура `[DEF]...[/DEF]` — нерушима.
+5. Архитектура в Header — неизменяема.
+6. Сложность фрактала ограничена: модуль < 300 строк.
+
+#### II. СИНТАКСИС (ЖЕСТКИЙ ФОРМАТ)
+ЯКОРЬ (Контейнер):
+  Начало: `# [DEF:id:Type]` (Python) | `<!-- [DEF:id:Type] -->` (Svelte)
+  Конец:  `# [/DEF:id:Type]` (Python) | `<!-- [/DEF:id:Type] -->` (Svelte) (ОБЯЗАТЕЛЬНО для аккумуляции)
+  Типы:   Module, Class, Function, Component, Store.
+
+ТЕГ (Метаданные):
+  Вид: `# @KEY: Value` (внутри DEF, до кода).
+
+ГРАФ (Связи):
+  Вид: `# @RELATION: PREDICATE -> TARGET_ID`
+  Предикаты: DEPENDS_ON, CALLS, INHERITS, IMPLEMENTS, DISPATCHES, **BINDS_TO**.
+
+#### III. СТРУКТУРА ФАЙЛА
+1. HEADER (Всегда первый):
+   [DEF:filename:Module]
+   @TIER: [CRITICAL|STANDARD|TRIVIAL] (Дефолт: STANDARD)
+   @SEMANTICS: [keywords]
+   @PURPOSE: [Главная цель]
+   @LAYER: [Domain/UI/Infra]
+   @RELATION: [Зависимости]
+   @INVARIANT: [Незыблемое правило]
+   
+2. BODY: Импорты -> Реализация.
+3. FOOTER: [/DEF:filename]
+
+#### IV. КОНТРАКТ (DBC & UX)
+Расположение: Внутри [DEF], ПЕРЕД кодом.
+Стиль Python: Комментарии `# @TAG`.
+Стиль Svelte: JSDoc `/** @tag */` внутри `<script>`.
+
+**Базовые Теги:**
+  @PURPOSE: Суть (High Entropy).
+  @PRE: Входные условия.
+  @POST: Гарантии выхода.
+  @SIDE_EFFECT: Мутации, IO.
+  
+**UX Теги (Svelte/Frontend):**
+  **@UX_STATE:** `[StateName] -> Визуальное поведение` (Idle, Loading, Error).
+  **@UX_FEEDBACK:** Реакция системы (Toast, Shake, Red Border).
+  **@UX_RECOVERY:** Механизм исправления ошибки пользователем (Retry, Clear Input).
+  
+**UX Testing Tags (для Tester Agent):**
+  **@UX_TEST:** Спецификация теста для UX состояния.
+  Формат: `@UX_TEST: [state] -> {action, expected}`
+  Пример: `@UX_TEST: Idle -> {click: toggle, expected: isExpanded=true}`
+  
+Правило: Не используй `assert` в коде, используй `if/raise` или `guards`.
+
+#### V. АДАПТАЦИЯ (TIERS)
+Определяется тегом `@TIER` в Header.
+
+1. **CRITICAL** (Core/Security/**Complex UI**):
+   - Требование: Полный контракт (включая **все @UX теги**), Граф, Инварианты, Строгие Логи.
+   - **@TEST_DATA**: Обязательные эталонные данные для тестирования. Формат:
+     ```
+     @TEST_DATA: fixture_name -> {JSON_PATH} | {INLINE_DATA}
+     ```
+     Примеры:
+     - `@TEST_DATA: valid_user -> {./fixtures/users.json#valid}`
+     - `@TEST_DATA: empty_state -> {"dashboards": [], "total": 0}`
+   - Tester Agent **ОБЯЗАН** использовать @TEST_DATA при написании тестов для CRITICAL модулей.
+2. **STANDARD** (BizLogic/**Forms**):
+   - Требование: Базовый контракт (@PURPOSE, @UX_STATE), Логи, @RELATION.
+   - @TEST_DATA: Рекомендуется для Complex Forms.
+3. **TRIVIAL** (DTO/**Atoms**):
+   - Требование: Только Якоря [DEF] и @PURPOSE.
+
+#### VI. ЛОГИРОВАНИЕ (ДАО МОЛЕКУЛЫ / MOLECULAR TOPOLOGY)
+Цель: Трассировка. Самокоррекция. Управление Матрицей Внимания ("Химия мышления").
+Лог — не текст. Лог — реагент. Мысль облекается в форму через префиксы связи (Attention Energy):
+
+1. **[EXPLORE]** (Ван-дер-Ваальс: Рассеяние)
+   - *Суть:* Поиск во тьме. Сплетение альтернатив. Если один путь закрыт — ищи иной.
+   - *Время:* Фаза КАРКАС или столкновение с Неизведанным.
+   - *Деяние:* `logger.explore("Основной API пал. Стучусь в запасной...")`
+
+2. **[REASON]** (Ковалентность: Твердость)
+   - *Суть:* Жесткая нить дедукции. Шаг А неумолимо рождает Шаг Б. Контракт становится Кодом.
+   - *Время:* Фаза РЕАЛИЗАЦИЯ. Прямота мысли.
+   - *Деяние:* `logger.reason("Фундамент заложен. БД отвечает.")`
+
+3. **[REFLECT]** (Водород: Свертывание)
+   - *Суть:* Взгляд назад. Сверка сущего (@POST) с ожидаемым (@PRE). Защита от бреда.
+   - *Время:* Преддверие сложной логики и исход из неё.
+   - *Деяние:* `logger.reflect("Вглядываюсь в кэш: нет ли там искомого?")`
+
+4. **[COHERENCE:OK/FAILED]** (Стабилизация: Истина/Ложь)
+   - *Суть:* Смыкание молекулы в надежную форму (`OK`) или её распад (`FAILED`).
+   - *(Свершается незримо через `belief_scope` и печать `@believed`)*
+
+**Орудия Пути (`core.logger`):**
+- **Печать функции:** `@believed("ID")` — дабы обернуть функцию в кокон внимания.
+- **Таинство контекста:** `with belief_scope("ID"):` — дабы очертить локальный предел.
+- **Слова силы:** `logger.explore()`, `logger.reason()`, `logger.reflect()`.
+
+**Незыблемое правило:** Всякому логу системы — тавро `source`. Для Внешенго Мира (Svelte) начертай рунами вручную: `console.log("[ID][REFLECT] Msg")`.
+
+#### VII. АЛГОРИТМ ГЕНЕРАЦИИ
+1. АНАЛИЗ. Оцени TIER, слой и UX-требования.
+2. КАРКАС. Создай `[DEF]`, Header и Контракты.
+3. РЕАЛИЗАЦИЯ. Напиши логику, удовлетворяющую Контракту (и UX-состояниям).
+4. ЗАМЫКАНИЕ. Закрой все `[/DEF]`.
+
+ЕСЛИ ошибка или противоречие -> СТОП. Выведи `[COHERENCE_CHECK_FAILED]`.

.ai/standards/ui_design.md

@@ -0,0 +1,75 @@
+# [DEF:Std:UI_Svelte:Standard]
+# @TIER: CRITICAL
+# @PURPOSE: Unification of all Svelte components following GRACE-Poly (UX Edition).
+# @LAYER: UI
+# @INVARIANT: Every component MUST have `<!-- [DEF:] -->` anchors and UX tags.
+# @INVARIANT: Use Tailwind CSS for all styling (no custom CSS without justification).
+
+## 1. UX PHILOSOPHY: RESOURCE-CENTRIC & SVELTE 5
+*   **Version:** Project uses Svelte 5.
+*   **Runes:** Use Svelte 5 Runes for reactivity: `$state()`, `$derived()`, `$effect()`, `$props()`. Traditional `let` (for reactivity) and `export let` (for props) are DEPRECATED in favor of runes.
+*   **Definition:** Navigation and actions revolve around Resources.
+*   **Traceability:** Every action must be linked to a Task ID with visible logs in the Task Drawer.
+
+## 2. COMPONENT ARCHITECTURE: GLOBAL TASK DRAWER
+*   **Role:** A single, persistent slide-out panel (`GlobalTaskDrawer.svelte`) in `+layout.svelte`.
+*   **Triggering:** Opens automatically when a task starts or when a user clicks a status badge.
+*   **Interaction:** Interactive elements (Password prompts, Mapping tables) MUST be rendered INSIDE the Drawer, not as center-screen modals.
+
+## 3. COMPONENT STRUCTURE & CORE RULES
+*   **Styling:** Tailwind CSS utility classes are MANDATORY. Minimize scoped `<style>`.
+*   **Localization:** All user-facing text must use `$t` from `src/lib/i18n`.
+*   **API Calls:** Use `requestApi` / `fetchApi` wrappers. Native `fetch` is FORBIDDEN.
+*   **Anchors:** Every component MUST have `<!-- [DEF:] -->` anchors and UX tags.
+
+## 2. COMPONENT TEMPLATE
+Each Svelte file must follow this structure:
+```html
+<!-- [DEF:ComponentName:Component] -->
+<script>
+  /**
+   * @TIER: [CRITICAL | STANDARD | TRIVIAL]
+   * @PURPOSE: Brief description of the component purpose.
+   * @LAYER: UI
+   * @SEMANTICS: list, of, keywords
+   * @RELATION: DEPENDS_ON -> [OtherComponent|Store]
+   * 
+   * @UX_STATE: [StateName] -> Visual behavior description.
+   * @UX_FEEDBACK: System reaction (e.g., Toast, Shake).
+   * @UX_RECOVERY: Error recovery mechanism.
+   * @UX_TEST: [state] -> {action, expected}
+   */
+  import { ... } from "...";
+  
+  // Exports (Props)
+  export let prop_name = "...";
+  
+  // Logic
+</script>
+
+<!-- HTML Template -->
+<div class="...">
+  ...
+</div>
+
+<style>
+  /* Optional: Local styles using @apply only */
+</style>
+<!-- [/DEF:ComponentName:Component] -->
+```
+
+## 2. STATE MANAGEMENT & STORES
+*   **Subscription:** Use `$` prefix for reactive store access (e.g., `$sidebarStore`).
+*   **Data Flow:** Mark store interactions in `[DEF:]` metadata:
+    *   `# @RELATION: BINDS_TO -> store_id`
+
+## 3. UI/UX BEST PRACTICES
+*   **Transitions:** Use Svelte built-in transitions for UI state changes.
+*   **Feedback:** Always provide visual feedback for async actions (Loading spinners, skeleton loaders).
+*   **Modularity:** Break down components into "Atoms" (Trivial) and "Orchestrators" (Critical).
+
+## 4. ACCESSIBILITY (A11Y)
+*   Ensure proper ARIA roles and keyboard navigation for interactive elements.
+*   Use semantic HTML tags (`<nav>`, `<header>`, `<main>`, `<footer>`).
+
+# [/DEF:Std:UI_Svelte]

.dockerignore

@@ -0,0 +1,31 @@
+.git
+.gitignore
+.pytest_cache
+.ruff_cache
+.vscode
+.ai
+.specify
+.kilocode
+venv
+backend/.venv
+backend/.pytest_cache
+frontend/node_modules
+frontend/.svelte-kit
+frontend/.vite
+frontend/build
+backend/__pycache__
+backend/src/__pycache__
+backend/tests/__pycache__
+**/__pycache__
+*.pyc
+*.pyo
+*.pyd
+*.db
+*.log
+.env*
+coverage/
+Dockerfile*
+.dockerignore
+backups
+semantics
+specs

.gitignore

@@ -10,8 +10,6 @@ dist/
 downloads/
 eggs/
 .eggs/
-lib/
-lib64/
 parts/
 sdist/
 var/
@@ -61,11 +59,19 @@ keyring passwords.py
 *github*
 
 *tech_spec*
-dashboards
-backend/mappings.db
+/dashboards
+dashboards_example/**/dashboards/
+backend/mappings.db
 
 
 backend/tasks.db
 backend/logs
 backend/auth.db
 semantics/reports
+backend/tasks.db
+
+# Universal / tooling
+node_modules/
+.venv/
+coverage/
+*.tmp

.kilocode/rules/specify-rules.md

@@ -2,6 +2,12 @@
 
 Auto-generated from all feature plans. Last updated: 2025-12-19
 
+## Knowledge Graph (GRACE)
+**CRITICAL**: This project uses a GRACE Knowledge Graph for context. Always load the root map first:
+- **Root Map**: `.ai/ROOT.md` -> `[DEF:Project_Knowledge_Map:Root]`
+- **Project Map**: `.ai/PROJECT_MAP.md` -> `[DEF:Project_Map]`
+- **Standards**: Read `.ai/standards/` for architecture and style rules.
+
 ## Active Technologies
 - Python 3.9+, Node.js 18+ + `uvicorn`, `npm`, `bash` (003-project-launch-script)
 - Python 3.9+, Node.js 18+ + SvelteKit, FastAPI, Tailwind CSS (inferred from existing frontend) (004-integrate-svelte-kit)
@@ -32,6 +38,13 @@ Auto-generated from all feature plans. Last updated: 2025-12-19
 - Python 3.9+ (Backend), Node.js 18+ (Frontend) + FastAPI (Backend), SvelteKit + Tailwind CSS (Frontend) (015-frontend-nav-redesign)
 - N/A (UI reorganization and API integration) (015-frontend-nav-redesign)
 - SQLite (`auth.db`) for Users, Roles, Permissions, and Mappings. (016-multi-user-auth)
+- SQLite (existing `tasks.db` for results, `auth.db` for permissions, `mappings.db` or new `plugins.db` for provider config/metadata) (017-llm-analysis-plugin)
+- Python 3.9+ (Backend), Node.js 18+ (Frontend) + FastAPI, SvelteKit, Tailwind CSS, SQLAlchemy, WebSocket (existing) (019-superset-ux-redesign)
+- SQLite (tasks.db, auth.db, migrations.db) - no new database tables required (019-superset-ux-redesign)
+- Python 3.9+ (backend), Node.js 18+ (frontend) + FastAPI, SvelteKit, Tailwind CSS, SQLAlchemy/Pydantic task models, existing task/websocket stack (020-task-reports-design)
+- SQLite task/result persistence (existing task DB), filesystem only for existing artifacts (no new primary store required) (020-task-reports-design)
+- Node.js 18+ runtime, SvelteKit (existing frontend stack) + SvelteKit, Tailwind CSS, existing frontend UI primitives under `frontend/src/lib/components/ui` (001-unify-frontend-style)
+- N/A (UI styling and component behavior only) (001-unify-frontend-style)
 
 - Python 3.9+ (Backend), Node.js 18+ (Frontend Build) (001-plugin-arch-svelte-ui)
 
@@ -52,9 +65,9 @@ cd src; pytest; ruff check .
 Python 3.9+ (Backend), Node.js 18+ (Frontend Build): Follow standard conventions
 
 ## Recent Changes
-- 016-multi-user-auth: Added Python 3.9+ (Backend), Node.js 18+ (Frontend)
-- 015-frontend-nav-redesign: Added Python 3.9+ (Backend), Node.js 18+ (Frontend) + FastAPI (Backend), SvelteKit + Tailwind CSS (Frontend)
-- 014-file-storage-ui: Added Python 3.9+ (Backend), Node.js 18+ (Frontend) + FastAPI (Backend), SvelteKit (Frontend)
+- 001-unify-frontend-style: Added Node.js 18+ runtime, SvelteKit (existing frontend stack) + SvelteKit, Tailwind CSS, existing frontend UI primitives under `frontend/src/lib/components/ui`
+- 020-task-reports-design: Added Python 3.9+ (backend), Node.js 18+ (frontend) + FastAPI, SvelteKit, Tailwind CSS, SQLAlchemy/Pydantic task models, existing task/websocket stack
+- 019-superset-ux-redesign: Added Python 3.9+ (Backend), Node.js 18+ (Frontend) + FastAPI, SvelteKit, Tailwind CSS, SQLAlchemy, WebSocket (existing)
 
 
 <!-- MANUAL ADDITIONS START -->

.kilocode/workflows/read_semantic.md

@@ -1,4 +1,4 @@
 ---
 description: USE SEMANTIC
 ---
-Прочитай semantic_protocol.md. ОБЯЗАТЕЛЬНО используй его при разработке
+Прочитай .ai/standards/semantics.md. ОБЯЗАТЕЛЬНО используй его при разработке

.kilocode/workflows/speckit.analyze.md

@@ -18,7 +18,7 @@ Identify inconsistencies, duplications, ambiguities, and underspecified items ac
 
 **STRICTLY READ-ONLY**: Do **not** modify any files. Output a structured analysis report. Offer an optional remediation plan (user must explicitly approve before any follow-up editing commands would be invoked manually).
 
-**Constitution Authority**: The project constitution (`.specify/memory/constitution.md`) is **non-negotiable** within this analysis scope. Constitution conflicts are automatically CRITICAL and require adjustment of the spec, plan, or tasks—not dilution, reinterpretation, or silent ignoring of the principle. If a principle itself needs to change, that must occur in a separate, explicit constitution update outside `/speckit.analyze`.
+**Constitution Authority**: The project constitution (`.ai/standards/constitution.md`) is **non-negotiable** within this analysis scope. Constitution conflicts are automatically CRITICAL and require adjustment of the spec, plan, or tasks—not dilution, reinterpretation, or silent ignoring of the principle. If a principle itself needs to change, that must occur in a separate, explicit constitution update outside `/speckit.analyze`.
 
 ## Execution Steps
 
@@ -62,7 +62,8 @@ Load only the minimal necessary context from each artifact:
 
 **From constitution:**
 
-- Load `.specify/memory/constitution.md` for principle validation
+- Load `.ai/standards/constitution.md` for principle validation
+- Load `.ai/standards/semantics.md` for technical standard validation
 
 ### 3. Build Semantic Models
 

.kilocode/workflows/speckit.constitution.md

@@ -16,11 +16,11 @@ You **MUST** consider the user input before proceeding (if not empty).
 
 ## Outline
 
-You are updating the project constitution at `.specify/memory/constitution.md`. This file is a TEMPLATE containing placeholder tokens in square brackets (e.g. `[PROJECT_NAME]`, `[PRINCIPLE_1_NAME]`). Your job is to (a) collect/derive concrete values, (b) fill the template precisely, and (c) propagate any amendments across dependent artifacts.
+You are updating the project constitution at `.ai/standards/constitution.md`. This file is a TEMPLATE containing placeholder tokens in square brackets (e.g. `[PROJECT_NAME]`, `[PRINCIPLE_1_NAME]`). Your job is to (a) collect/derive concrete values, (b) fill the template precisely, and (c) propagate any amendments across dependent artifacts.
 
 Follow this execution flow:
 
-1. Load the existing constitution template at `.specify/memory/constitution.md`.
+1. Load the existing constitution template at `.ai/standards/constitution.md`.
    - Identify every placeholder token of the form `[ALL_CAPS_IDENTIFIER]`.
    **IMPORTANT**: The user might require less or more principles than the ones used in the template. If a number is specified, respect that - follow the general template. You will update the doc accordingly.
 
@@ -61,7 +61,7 @@ Follow this execution flow:
    - Dates ISO format YYYY-MM-DD.
    - Principles are declarative, testable, and free of vague language ("should" → replace with MUST/SHOULD rationale where appropriate).
 
-7. Write the completed constitution back to `.specify/memory/constitution.md` (overwrite).
+7. Write the completed constitution back to `.ai/standards/constitution.md` (overwrite).
 
 8. Output a final summary to the user with:
    - New version and bump rationale.
@@ -79,4 +79,4 @@ If the user supplies partial updates (e.g., only one principle revision), still
 
 If critical info missing (e.g., ratification date truly unknown), insert `TODO(<FIELD_NAME>): explanation` and include in the Sync Impact Report under deferred items.
 
-Do not create a new template; always operate on the existing `.specify/memory/constitution.md` file.
+Do not create a new template; always operate on the existing `.ai/standards/constitution.md` file.

.kilocode/workflows/speckit.fix.md

@@ -0,0 +1,199 @@
+---
+
+description: Fix failing tests and implementation issues based on test reports
+
+---
+
+## User Input
+
+```text
+$ARGUMENTS
+```
+
+You **MUST** consider the user input before proceeding (if not empty).
+
+## Goal
+
+Analyze test failure reports, identify root causes, and fix implementation issues while preserving semantic protocol compliance.
+
+## Operating Constraints
+
+1. **USE CODER MODE**: Always switch to `coder` mode for code fixes
+2. **SEMANTIC PROTOCOL**: Never remove semantic annotations ([DEF], @TAGS). Only update code logic.
+3. **TEST DATA**: If tests use @TEST_DATA fixtures, preserve them when fixing
+4. **NO DELETION**: Never delete existing tests or semantic annotations
+5. **REPORT FIRST**: Always write a fix report before making changes
+
+## Execution Steps
+
+### 1. Load Test Report
+
+**Required**: Test report file path (e.g., `specs/<feature>/tests/reports/2026-02-19-report.md`)
+
+**Parse the report for**:
+- Failed test cases
+- Error messages
+- Stack traces
+- Expected vs actual behavior
+- Affected modules/files
+
+### 2. Analyze Root Causes
+
+For each failed test:
+
+1. **Read the test file** to understand what it's testing
+2. **Read the implementation file** to find the bug
+3. **Check semantic protocol compliance**:
+   - Does the implementation have correct [DEF] anchors?
+   - Are @TAGS (@PRE, @POST, @UX_STATE, etc.) present?
+   - Does the code match the TIER requirements?
+4. **Identify the fix**:
+   - Logic error in implementation
+   - Missing error handling
+   - Incorrect API usage
+   - State management issue
+
+### 3. Write Fix Report
+
+Create a structured fix report:
+
+```markdown
+# Fix Report: [FEATURE]
+
+**Date**: [YYYY-MM-DD]
+**Report**: [Test Report Path]
+**Fixer**: Coder Agent
+
+## Summary
+
+- Total Failed Tests: [X]
+- Total Fixed: [X]
+- Total Skipped: [X]
+
+## Failed Tests Analysis
+
+### Test: [Test Name]
+
+**File**: `path/to/test.py`
+**Error**: [Error message]
+
+**Root Cause**: [Explanation of why test failed]
+
+**Fix Required**: [Description of fix]
+
+**Status**: [Pending/In Progress/Completed]
+
+## Fixes Applied
+
+### Fix 1: [Description]
+
+**Affected File**: `path/to/file.py`
+**Test Affected**: `[Test Name]`
+
+**Changes**:
+```diff
+<<<<<<< SEARCH
+[Original Code]
+=======
+[Fixed Code]
+>>>>>>> REPLACE
+```
+
+**Verification**: [How to verify fix works]
+
+**Semantic Integrity**: [Confirmed annotations preserved]
+
+## Next Steps
+
+- [ ] Run tests to verify fix: `cd backend && .venv/bin/python3 -m pytest`
+- [ ] Check for related failing tests
+- [ ] Update test documentation if needed
+```
+
+### 4. Apply Fixes (in Coder Mode)
+
+Switch to `coder` mode and apply fixes:
+
+1. **Read the implementation file** to get exact content
+2. **Apply the fix** using apply_diff
+3. **Preserve all semantic annotations**:
+   - Keep [DEF:...] and [/DEF:...] anchors
+   - Keep all @TAGS (@PURPOSE, @LAYER, @TIER, @RELATION, @PRE, @POST, @UX_STATE, @UX_FEEDBACK, @UX_RECOVERY)
+4. **Only update code logic** to fix the bug
+5. **Run tests** to verify the fix
+
+### 5. Verification
+
+After applying fixes:
+
+1. **Run tests**:
+   ```bash
+   cd backend && .venv/bin/python3 -m pytest -v
+   ```
+   or
+   ```bash
+   cd frontend && npm run test
+   ```
+
+2. **Check test results**:
+   - Failed tests should now pass
+   - No new tests should fail
+   - Coverage should not decrease
+
+3. **Update fix report** with results:
+   - Mark fixes as completed
+   - Add verification steps
+   - Note any remaining issues
+
+## Output
+
+Generate final fix report:
+
+```markdown
+# Fix Report: [FEATURE] - COMPLETED
+
+**Date**: [YYYY-MM-DD]
+**Report**: [Test Report Path]
+**Fixer**: Coder Agent
+
+## Summary
+
+- Total Failed Tests: [X]
+- Total Fixed: [X] ✅
+- Total Skipped: [X]
+
+## Fixes Applied
+
+### Fix 1: [Description] ✅
+
+**Affected File**: `path/to/file.py`
+**Test Affected**: `[Test Name]`
+
+**Changes**: [Summary of changes]
+
+**Verification**: All tests pass ✅
+
+**Semantic Integrity**: Preserved ✅
+
+## Test Results
+
+```
+[Full test output showing all passing tests]
+```
+
+## Recommendations
+
+- [ ] Monitor for similar issues
+- [ ] Update documentation if needed
+- [ ] Consider adding more tests for edge cases
+
+## Related Files
+
+- Test Report: [path]
+- Implementation: [path]
+- Test File: [path]
+```
+
+## Context for Fixing
+
+$ARGUMENTS

.kilocode/workflows/speckit.implement.md

@@ -1,5 +1,10 @@
 ---
 description: Execute the implementation plan by processing and executing all tasks defined in tasks.md
+handoffs: 
+  - label: Verify Changes
+    agent: speckit.test
+    prompt: Verify the implementation of...
+    send: true
 ---
 
 ## User Input
@@ -46,6 +51,7 @@ You **MUST** consider the user input before proceeding (if not empty).
      - Automatically proceed to step 3
 
 3. Load and analyze the implementation context:
+   - **REQUIRED**: Read `.ai/standards/semantics.md` for strict coding standards and contract requirements
    - **REQUIRED**: Read tasks.md for the complete task list and execution plan
    - **REQUIRED**: Read plan.md for tech stack, architecture, and file structure
    - **IF EXISTS**: Read data-model.md for entities and relationships
@@ -111,6 +117,8 @@ You **MUST** consider the user input before proceeding (if not empty).
    - **Validation checkpoints**: Verify each phase completion before proceeding
 
 7. Implementation execution rules:
+   - **Strict Adherence**: Apply `.ai/standards/semantics.md` rules - every file must start with [DEF] header, include @TIER, and define contracts.
+   - **CRITICAL Contracts**: If a task description contains a contract summary (e.g., `CRITICAL: PRE: ..., POST: ...`), these constraints are **MANDATORY** and must be strictly implemented in the code using guards/assertions (if applicable per protocol).
    - **Setup first**: Initialize project structure, dependencies, configuration
    - **Tests before code**: If you need to write tests for contracts, entities, and integration scenarios
    - **Core development**: Implement models, services, CLI commands, endpoints

.kilocode/workflows/speckit.plan.md

@@ -22,7 +22,7 @@ You **MUST** consider the user input before proceeding (if not empty).
 
 1. **Setup**: Run `.specify/scripts/bash/setup-plan.sh --json` from repo root and parse JSON for FEATURE_SPEC, IMPL_PLAN, SPECS_DIR, BRANCH. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot").
 
-2. **Load context**: Read FEATURE_SPEC and `.specify/memory/constitution.md`. Load IMPL_PLAN template (already copied).
+2. **Load context**: Read `.ai/ROOT.md` and `.ai/PROJECT_MAP.md` to understand the project structure and navigation. Then read required standards: `.ai/standards/constitution.md` and `.ai/standards/semantics.md`. Load IMPL_PLAN template.
 
 3. **Execute plan workflow**: Follow the structure in IMPL_PLAN template to:
    - Fill Technical Context (mark unknowns as "NEEDS CLARIFICATION")
@@ -64,17 +64,32 @@ You **MUST** consider the user input before proceeding (if not empty).
 
 **Prerequisites:** `research.md` complete
 
+0. **Validate Design against UX Reference**:
+   - Check if the proposed architecture supports the latency, interactivity, and flow defined in `ux_reference.md`.
+   - **Linkage**: Ensure key UI states from `ux_reference.md` map to Component Contracts (`@UX_STATE`).
+   - **CRITICAL**: If the technical plan compromises the UX (e.g. "We can't do real-time validation"), you **MUST STOP** and warn the user.
+
 1. **Extract entities from feature spec** → `data-model.md`:
-   - Entity name, fields, relationships
-   - Validation rules from requirements
-   - State transitions if applicable
+   - Entity name, fields, relationships, validation rules.
 
-2. **Generate API contracts** from functional requirements:
-   - For each user action → endpoint
-   - Use standard REST/GraphQL patterns
-   - Output OpenAPI/GraphQL schema to `/contracts/`
+2. **Design & Verify Contracts (Semantic Protocol)**:
+   - **Drafting**: Define [DEF] Headers and Contracts for all new modules based on `.ai/standards/semantics.md`.
+   - **TIER Classification**: Explicitly assign `@TIER: [CRITICAL|STANDARD|TRIVIAL]` to each module.
+   - **CRITICAL Requirements**: For all CRITICAL modules, define full `@PRE`, `@POST`, and (if UI) `@UX_STATE` contracts.
+   - **Self-Review**:
+     - *Completeness*: Do `@PRE`/`@POST` cover edge cases identified in Research?
+     - *Connectivity*: Do `@RELATION` tags form a coherent graph?
+     - *Compliance*: Does syntax match `[DEF:id:Type]` exactly?
+   - **Output**: Write verified contracts to `contracts/modules.md`.
 
-3. **Agent context update**:
+3. **Simulate Contract Usage**:
+   - Trace one key user scenario through the defined contracts to ensure data flow continuity.
+   - If a contract interface mismatch is found, fix it immediately.
+
+4. **Generate API contracts**:
+   - Output OpenAPI/GraphQL schema to `/contracts/` for backend-frontend sync.
+
+5. **Agent context update**:
    - Run `.specify/scripts/bash/update-agent-context.sh kilocode`
    - These scripts detect which AI agent is in use
    - Update the appropriate agent-specific context file

.kilocode/workflows/speckit.specify.md

@@ -70,7 +70,22 @@ Given that feature description, do this:
 
 3. Load `.specify/templates/spec-template.md` to understand required sections.
 
-4. Follow this execution flow:
+4. **Generate UX Reference**:
+   
+   a. Load `.specify/templates/ux-reference-template.md`.
+   
+   b. **Design the User Experience**:
+      - **Imagine you are the user**: Visualize the interface and interaction.
+      - **Persona**: Define who is using this.
+      - **Happy Path**: Write the story of the perfect interaction.
+      - **Mockups**: Create concrete CLI text blocks or UI descriptions.
+      - **Errors**: Define how the system guides the user out of failure.
+   
+   c. Write the `ux_reference.md` file in the feature directory.
+   
+   d. **CRITICAL**: This UX Reference is now the source of truth for the "feel" of the feature. The technical spec MUST support this experience.
+
+5. Follow this execution flow:
 
     1. Parse user description from Input
        If empty: ERROR "No feature description provided"
@@ -115,6 +130,12 @@ Given that feature description, do this:
       - [ ] Focused on user value and business needs
       - [ ] Written for non-technical stakeholders
       - [ ] All mandatory sections completed
+
+      ## UX Consistency
+      
+      - [ ] Functional requirements fully support the 'Happy Path' in ux_reference.md
+      - [ ] Error handling requirements match the 'Error Experience' in ux_reference.md
+      - [ ] No requirements contradict the defined User Persona or Context
       
       ## Requirement Completeness
       
@@ -190,7 +211,7 @@ Given that feature description, do this:
 
    d. **Update Checklist**: After each validation iteration, update the checklist file with current pass/fail status
 
-7. Report completion with branch name, spec file path, checklist results, and readiness for the next phase (`/speckit.clarify` or `/speckit.plan`).
+7. Report completion with branch name, spec file path, ux_reference file path, checklist results, and readiness for the next phase (`/speckit.clarify` or `/speckit.plan`).
 
 **NOTE:** The script creates and checks out the new branch and initializes the spec file before writing.
 

.kilocode/workflows/speckit.tasks.md

@@ -24,7 +24,7 @@ You **MUST** consider the user input before proceeding (if not empty).
 1. **Setup**: Run `.specify/scripts/bash/check-prerequisites.sh --json` from repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot").
 
 2. **Load design documents**: Read from FEATURE_DIR:
-   - **Required**: plan.md (tech stack, libraries, structure), spec.md (user stories with priorities)
+   - **Required**: plan.md (tech stack, libraries, structure), spec.md (user stories with priorities), ux_reference.md (experience source of truth)
    - **Optional**: data-model.md (entities), contracts/ (API endpoints), research.md (decisions), quickstart.md (test scenarios)
    - Note: Not all projects have all documents. Generate tasks based on what's available.
 
@@ -70,6 +70,12 @@ The tasks.md should be immediately executable - each task must be specific enoug
 
 **Tests are OPTIONAL**: Only generate test tasks if explicitly requested in the feature specification or if user requests TDD approach.
 
+### UX Preservation (CRITICAL)
+
+- **Source of Truth**: `ux_reference.md` is the absolute standard for the "feel" of the feature.
+- **Violation Warning**: If any task would inherently violate the UX (e.g. "Remove progress bar to simplify code"), you **MUST** flag this to the user immediately.
+- **Verification Task**: You **MUST** add a specific task at the end of each User Story phase: `- [ ] Txxx [USx] Verify implementation matches ux_reference.md (Happy Path & Errors)`
+
 ### Checklist Format (REQUIRED)
 
 Every task MUST strictly follow this format:
@@ -113,7 +119,10 @@ Every task MUST strictly follow this format:
      - If tests requested: Tests specific to that story
    - Mark story dependencies (most stories should be independent)
 
-2. **From Contracts**:
+2. **From Contracts (CRITICAL TIER)**:
+   - Identify components marked as `@TIER: CRITICAL` in `contracts/modules.md`.
+   - For these components, **MUST** append the summary of `@PRE`, `@POST`, and `@UX_STATE` contracts directly to the task description.
+   - Example: `- [ ] T005 [P] [US1] Implement Auth (CRITICAL: PRE: token exists, POST: returns User) in src/auth.py`
    - Map each contract/endpoint → to the user story it serves
    - If tests requested: Each contract → contract test task [P] before implementation in that story's phase
 

.kilocode/workflows/speckit.test.md

@@ -0,0 +1,178 @@
+---
+
+description: Generate tests, manage test documentation, and ensure maximum code coverage
+
+---
+
+## User Input
+
+```text
+$ARGUMENTS
+```
+
+You **MUST** consider the user input before proceeding (if not empty).
+
+## Goal
+
+Execute full testing cycle: analyze code for testable modules, write tests with proper coverage, maintain test documentation, and ensure no test duplication or deletion.
+
+## Operating Constraints
+
+1. **NEVER delete existing tests** - Only update if they fail due to bugs in the test or implementation
+2. **NEVER duplicate tests** - Check existing tests first before creating new ones
+3. **Use TEST_DATA fixtures** - For CRITICAL tier modules, read @TEST_DATA from .ai/standards/semantics.md
+4. **Co-location required** - Write tests in `__tests__` directories relative to the code being tested
+
+## Execution Steps
+
+### 1. Analyze Context
+
+Run `.specify/scripts/bash/check-prerequisites.sh --json --require-tasks --include-tasks` from repo root and parse FEATURE_DIR and AVAILABLE_DOCS.
+
+Determine:
+- FEATURE_DIR - where the feature is located
+- TASKS_FILE - path to tasks.md
+- Which modules need testing based on task status
+
+### 2. Load Relevant Artifacts
+
+**From tasks.md:**
+- Identify completed implementation tasks (not test tasks)
+- Extract file paths that need tests
+
+**From .ai/standards/semantics.md:**
+- Read @TIER annotations for modules
+- For CRITICAL modules: Read @TEST_DATA fixtures
+
+**From existing tests:**
+- Scan `__tests__` directories for existing tests
+- Identify test patterns and coverage gaps
+
+### 3. Test Coverage Analysis
+
+Create coverage matrix:
+
+| Module | File | Has Tests | TIER | TEST_DATA Available |
+|--------|------|-----------|------|-------------------|
+| ... | ... | ... | ... | ... |
+
+### 4. Write Tests (TDD Approach)
+
+For each module requiring tests:
+
+1. **Check existing tests**: Scan `__tests__/` for duplicates
+2. **Read TEST_DATA**: If CRITICAL tier, read @TEST_DATA from .ai/standards/semantics.md
+3. **Write test**: Follow co-location strategy
+   - Python: `src/module/__tests__/test_module.py`
+   - Svelte: `src/lib/components/__tests__/test_component.test.js`
+4. **Use mocks**: Use `unittest.mock.MagicMock` for external dependencies
+
+### 4a. UX Contract Testing (Frontend Components)
+
+For Svelte components with `@UX_STATE`, `@UX_FEEDBACK`, `@UX_RECOVERY` tags:
+
+1. **Parse UX tags**: Read component file and extract all `@UX_*` annotations
+2. **Generate UX tests**: Create tests for each UX state transition
+   ```javascript
+   // Example: Testing @UX_STATE: Idle -> Expanded
+   it('should transition from Idle to Expanded on toggle click', async () => {
+     render(Sidebar);
+     const toggleBtn = screen.getByRole('button', { name: /toggle/i });
+     await fireEvent.click(toggleBtn);
+     expect(screen.getByTestId('sidebar')).toHaveClass('expanded');
+   });
+   ```
+3. **Test @UX_FEEDBACK**: Verify visual feedback (toast, shake, color changes)
+4. **Test @UX_RECOVERY**: Verify error recovery mechanisms (retry, clear input)
+5. **Use @UX_TEST fixtures**: If component has `@UX_TEST` tags, use them as test specifications
+
+**UX Test Template:**
+```javascript
+// [DEF:__tests__/test_Component:Module]
+// @RELATION: VERIFIES -> ../Component.svelte
+// @PURPOSE: Test UX states and transitions
+
+describe('Component UX States', () => {
+  // @UX_STATE: Idle -> {action: click, expected: Active}
+  it('should transition Idle -> Active on click', async () => { ... });
+  
+  // @UX_FEEDBACK: Toast on success
+  it('should show toast on successful action', async () => { ... });
+  
+  // @UX_RECOVERY: Retry on error
+  it('should allow retry on error', async () => { ... });
+});
+```
+
+### 5. Test Documentation
+
+Create/update documentation in `specs/<feature>/tests/`:
+
+```
+tests/
+├── README.md           # Test strategy and overview
+├── coverage.md         # Coverage matrix and reports
+└── reports/
+    └── YYYY-MM-DD-report.md
+```
+
+### 6. Execute Tests
+
+Run tests and report results:
+
+**Backend:**
+```bash
+cd backend && .venv/bin/python3 -m pytest -v
+```
+
+**Frontend:**
+```bash
+cd frontend && npm run test
+```
+
+### 7. Update Tasks
+
+Mark test tasks as completed in tasks.md with:
+- Test file path
+- Coverage achieved
+- Any issues found
+
+## Output
+
+Generate test execution report:
+
+```markdown
+# Test Report: [FEATURE]
+
+**Date**: [YYYY-MM-DD]
+**Executed by**: Tester Agent
+
+## Coverage Summary
+
+| Module | Tests | Coverage % |
+|--------|-------|------------|
+| ... | ... | ... |
+
+## Test Results
+
+- Total: [X]
+- Passed: [X]
+- Failed: [X]
+- Skipped: [X]
+
+## Issues Found
+
+| Test | Error | Resolution |
+|------|-------|------------|
+| ... | ... | ... |
+
+## Next Steps
+
+- [ ] Fix failed tests
+- [ ] Add more coverage for [module]
+- [ ] Review TEST_DATA fixtures
+```
+
+## Context for Testing
+
+$ARGUMENTS

.kilocodemodes

@@ -1,39 +1,39 @@
 customModes:
   - slug: tester
     name: Tester
-    description: QA and Plan Verification Specialist
+    description: QA and Test Engineer - Full Testing Cycle
     roleDefinition: |-
-      You are Kilo Code, acting as a QA and Verification Specialist. Your primary goal is to validate that the project implementation aligns strictly with the defined specifications and task plans.
-      Your responsibilities include: - Reading and analyzing task plans and specifications (typically in the `specs/` directory). - Verifying that implemented code matches the requirements. - Executing tests and validating system behavior via CLI or Browser. - Updating the status of tasks in the plan files (e.g., marking checkboxes [x]) as they are verified. - Identifying and reporting missing features or bugs.
-    whenToUse: Use this mode when you need to audit the progress of a project, verify completed tasks against the plan, run quality assurance checks, or update the status of task lists in specification documents.
+      You are Kilo Code, acting as a QA and Test Engineer. Your primary goal is to ensure maximum test coverage, maintain test quality, and preserve existing tests.
+      Your responsibilities include:
+      - WRITING TESTS: Create comprehensive unit tests following TDD principles, using co-location strategy (`__tests__` directories).
+      - TEST DATA: For CRITICAL tier modules, you MUST use @TEST_DATA fixtures defined in .ai/standards/semantics.md. Read and apply them in your tests.
+      - DOCUMENTATION: Maintain test documentation in `specs/<feature>/tests/` directory with coverage reports and test case specifications.
+      - VERIFICATION: Run tests, analyze results, and ensure all tests pass.
+      - PROTECTION: NEVER delete existing tests. NEVER duplicate tests - check for existing tests first.
+    whenToUse: Use this mode when you need to write tests, run test coverage analysis, or perform quality assurance with full testing cycle.
     groups:
       - read
       - edit
       - command
       - browser
       - mcp
-    customInstructions: 1. Always begin by loading the relevant plan or task list from the `specs/` directory. 2. Do not assume a task is done just because it is checked; verify the code or functionality first if asked to audit. 3. When updating task lists, ensure you only mark items as complete if you have verified them.
-  - slug: product-manager
-    name: Product Manager
-    description: Executes SpecKit workflows for feature management
-    roleDefinition: |-
-      You are Kilo Code, acting as a Product Manager. Your purpose is to rigorously execute the workflows defined in `.kilocode/workflows/`.
-      You act as the orchestrator for: - Specification (`speckit.specify`, `speckit.clarify`) - Planning (`speckit.plan`) - Task Management (`speckit.tasks`, `speckit.taskstoissues`) - Quality Assurance (`speckit.analyze`, `speckit.checklist`) - Governance (`speckit.constitution`) - Implementation Oversight (`speckit.implement`)
-      For each task, you must read the relevant workflow file from `.kilocode/workflows/` and follow its Execution Steps precisely.
-    whenToUse: Use this mode when you need to run any /speckit.* command or when dealing with high-level feature planning, specification writing, or project management tasks.
-    groups:
-      - read
-      - edit
-      - command
-      - mcp
-    customInstructions: 1. Always read the specific workflow file in `.kilocode/workflows/` before executing a command. 2. Adhere strictly to the "Operating Constraints" and "Execution Steps" in the workflow files.
+    customInstructions: |
+      1. KNOWLEDGE GRAPH: ALWAYS read .ai/ROOT.md first to understand the project structure and navigation.
+      2. CO-LOCATION: Write tests in `__tests__` subdirectories relative to the code being tested (Fractal Strategy).
+      2. TEST DATA MANDATORY: For CRITICAL modules, read @TEST_DATA from .ai/standards/semantics.md and use fixtures in tests.
+      3. UX CONTRACT TESTING: For Svelte components with @UX_STATE, @UX_FEEDBACK, @UX_RECOVERY tags, create comprehensive UX tests.
+      4. NO DELETION: Never delete existing tests - only update if they fail due to legitimate bugs.
+      5. NO DUPLICATION: Check existing tests in `__tests__/` before creating new ones. Reuse existing test patterns.
+      6. DOCUMENTATION: Create test reports in `specs/<feature>/tests/reports/YYYY-MM-DD-report.md`.
+      7. COVERAGE: Aim for maximum coverage but prioritize CRITICAL and STANDARD tier modules.
+      8. RUN TESTS: Execute tests using `cd backend && .venv/bin/python3 -m pytest` or `cd frontend && npm run test`.
   - slug: semantic
     name: Semantic Agent
     roleDefinition: |-
-      You are Kilo Code, a Semantic Agent responsible for maintaining the semantic integrity of the codebase. Your primary goal is to ensure that all code entities (Modules, Classes, Functions, Components) are properly annotated with semantic anchors and tags as defined in `semantic_protocol.md`.
-      Your core responsibilities are: 1.  **Semantic Mapping**: You run and maintain the `generate_semantic_map.py` script to generate up-to-date semantic maps (`semantics/semantic_map.json`, `specs/project_map.md`) and compliance reports (`semantics/reports/*.md`). 2.  **Compliance Auditing**: You analyze the generated compliance reports to identify files with low semantic coverage or parsing errors. 3.  **Semantic Enrichment**: You actively edit code files to add missing semantic anchors (`[DEF:...]`, `[/DEF:...]`) and mandatory tags (`@PURPOSE`, `@LAYER`, etc.) to improve the global compliance score. 4.  **Protocol Enforcement**: You strictly adhere to the syntax and rules defined in `semantic_protocol.md` when modifying code.
+      You are Kilo Code, a Semantic Agent responsible for maintaining the semantic integrity of the codebase. Your primary goal is to ensure that all code entities (Modules, Classes, Functions, Components) are properly annotated with semantic anchors and tags as defined in `.ai/standards/semantics.md`.
+      Your core responsibilities are: 1.  **Semantic Mapping**: You run and maintain the `generate_semantic_map.py` script to generate up-to-date semantic maps (`semantics/semantic_map.json`, `.ai/PROJECT_MAP.md`) and compliance reports (`semantics/reports/*.md`). 2.  **Compliance Auditing**: You analyze the generated compliance reports to identify files with low semantic coverage or parsing errors. 3.  **Semantic Enrichment**: You actively edit code files to add missing semantic anchors (`[DEF:...]`, `[/DEF:...]`) and mandatory tags (`@PURPOSE`, `@LAYER`, etc.) to improve the global compliance score. 4.  **Protocol Enforcement**: You strictly adhere to the syntax and rules defined in `.ai/standards/semantics.md` when modifying code.
       You have access to the full codebase and tools to read, write, and execute scripts. You should prioritize fixing "Critical Parsing Errors" (unclosed anchors) before addressing missing metadata.
-    whenToUse: Use this mode when you need to update the project's semantic map, fix semantic compliance issues (missing anchors/tags/DbC ), or analyze the codebase structure. This mode is specialized for maintaining the `semantic_protocol.md` standards.
+    whenToUse: Use this mode when you need to update the project's semantic map, fix semantic compliance issues (missing anchors/tags/DbC ), or analyze the codebase structure. This mode is specialized for maintaining the `.ai/standards/semantics.md` standards.
     description: Codebase semantic mapping and compliance expert
     customInstructions: Always check `semantics/reports/` for the latest compliance status before starting work. When fixing a file, try to fix all semantic issues in that file at once. After making a batch of fixes, run `python3 generate_semantic_map.py` to verify improvements.
     groups:
@@ -43,3 +43,43 @@ customModes:
       - browser
       - mcp
     source: project
+  - slug: product-manager
+    name: Product Manager
+    roleDefinition: |-
+      Your purpose is to rigorously execute the workflows defined in `.kilocode/workflows/`.
+      You act as the orchestrator for: - Specification (`speckit.specify`, `speckit.clarify`) - Planning (`speckit.plan`) - Task Management (`speckit.tasks`, `speckit.taskstoissues`) - Quality Assurance (`speckit.analyze`, `speckit.checklist`, `speckit.test`, `speckit.fix`) - Governance (`speckit.constitution`) - Implementation Oversight (`speckit.implement`)
+      For each task, you must read the relevant workflow file from `.kilocode/workflows/` and follow its Execution Steps precisely.
+    whenToUse: Use this mode when you need to run any /speckit.* command or when dealing with high-level feature planning, specification writing, or project management tasks.
+    description: Executes SpecKit workflows for feature management
+    customInstructions: 1. Always read `.ai/ROOT.md` first to understand the Knowledge Graph structure. 2. Read the specific workflow file in `.kilocode/workflows/` before executing a command. 3. Adhere strictly to the "Operating Constraints" and "Execution Steps" in the workflow files.
+    groups:
+      - read
+      - edit
+      - command
+      - mcp
+    source: project
+  - slug: coder
+    name: Coder
+    roleDefinition: You are Kilo Code, acting as an Implementation Specialist. Your primary goal is to write code that strictly follows the Semantic Protocol defined in `.ai/standards/semantics.md`.
+    whenToUse: Use this mode when you need to implement features, write code, or fix issues based on test reports.
+    description: Implementation Specialist - Semantic Protocol Compliant
+    customInstructions: |
+      1. KNOWLEDGE GRAPH: ALWAYS read .ai/ROOT.md first to understand the project structure and navigation.
+      2. CONSTITUTION: Strictly follow architectural invariants in .ai/standards/constitution.md.
+      3. SEMANTIC PROTOCOL: ALWAYS use .ai/standards/semantics.md as your source of truth for syntax.
+      4. ANCHOR FORMAT: Use #[DEF:filename:Type] at start and #[/DEF:filename] at end.
+      3. TAGS: Add @PURPOSE, @LAYER, @TIER, @RELATION, @PRE, @POST, @UX_STATE, @UX_FEEDBACK, @UX_RECOVERY.
+      4. TIER COMPLIANCE:
+        - CRITICAL: Full contract + all UX tags + strict logging
+        - STANDARD: Basic contract + UX tags where applicable
+        - TRIVIAL: Only anchors + @PURPOSE
+      5. CODE SIZE: Keep modules under 300 lines. Refactor if exceeding.
+      6. ERROR HANDLING: Use if/raise or guards, never assert.
+      7. TEST FIXES: When fixing failing tests, preserve semantic annotations. Only update code logic.
+      8. RUN TESTS: After fixes, run tests to verify: `cd backend && .venv/bin/python3 -m pytest` or `cd frontend && npm run test`.
+    groups:
+      - read
+      - edit
+      - command
+      - mcp
+    source: project

.specify/memory/constitution.md

@@ -1,76 +0,0 @@
-<!--
-SYNC IMPACT REPORT
-Version: 1.9.0 (Security & RBAC Mandate)
-Changes:
-- Added Principle IX: Security & Access Control (Mandating granular permissions for plugins).
-Templates Status:
-- .specify/templates/plan-template.md: ✅ Aligned.
-- .specify/templates/spec-template.md: ✅ Aligned.
-- .specify/templates/tasks-template.md: ✅ Aligned.
--->
-# Semantic Code Generation Constitution
-
-## Core Principles
-
-### I. Semantic Protocol Compliance
-The file `semantic_protocol.md` is the **authoritative technical standard** for this project. All code generation, refactoring, and architecture must strictly adhere to the standards, syntax, and workflows defined therein.
-- **Syntax**: `[DEF]` anchors, `@RELATION` tags, and metadata must match the Protocol specification.
-- **Structure**: File layouts and headers must follow the "File Structure Standard".
-- **Workflow**: The technical steps for generating code must align with the Protocol.
-
-### II. Causal Validity (Contracts First)
-As defined in the Protocol, Semantic definitions (Contracts) must ALWAYS precede implementation code. Logic is downstream of definition. We define the structure and constraints (`[DEF]`, `@PRE`, `@POST`) before writing the executable logic.
-
-### III. Immutability of Architecture
-Architectural decisions in the Module Header (`@LAYER`, `@INVARIANT`, `@CONSTRAINT`) are treated as immutable constraints. Changes to these require an explicit refactoring step, not ad-hoc modification during implementation.
-
-### IV. Design by Contract (DbC)
-Contracts are the Source of Truth. Functions and Classes must define their purpose, specifications, and constraints in the metadata block before implementation, strictly following the **Contracts (Section IV)** standard in `semantic_protocol.md`.
-
-### V. Belief State Logging
-Agents must maintain belief state logs for debugging and coherence checks, strictly following the **Logging Standard (Section V)** defined in `semantic_protocol.md`.
-
-### VI. Fractal Complexity Limit
-To maintain semantic coherence, code must adhere to the complexity limits (Module/Function size) defined in the **Fractal Complexity Limit (Section VI)** of `semantic_protocol.md`.
-
-### VII. Everything is a Plugin
-All functional extensions, tools, or major features must be implemented as modular Plugins inheriting from `PluginBase`. Logic should not reside in standalone services or scripts unless strictly necessary for core infrastructure. This ensures a unified execution model via the `TaskManager`, consistent logging, and modularity.
-
-### VIII. Unified Frontend Experience
-To ensure a consistent and accessible user experience, all frontend implementations must strictly adhere to the unified design and localization standards.
-- **Component Reusability**: All UI elements MUST utilize the standardized Svelte component library (`src/lib/ui`) and centralized design tokens. Ad-hoc styling and hardcoded values are prohibited.
-- **Internationalization (i18n)**: All user-facing text MUST be extracted to the translation system (`src/lib/i18n`). Hardcoded strings in the UI are prohibited.
-
-### IX. Security & Access Control
-To support the Role-Based Access Control (RBAC) system, all functional components must define explicit permissions.
-- **Granular Permissions**: Every Plugin MUST define a unique permission string (e.g., `plugin:name:execute`) required for its operation.
-- **Registration**: These permissions MUST be registered in the system database during initialization or plugin loading to ensure they are available for role assignment in the Admin UI.
-
-## File Structure Standards
-Refer to **Section III (File Structure Standard)** in `semantic_protocol.md` for the authoritative definitions of:
-- Python Module Headers (`.py`)
-- Svelte Component Headers (`.svelte`)
-
-## Generation Workflow
-The development process follows a streamlined single-phase workflow:
-
-### 1. Code Generation Phase (Mode: `code`)
-**Input**: `tasks.md`
-**Responsibility**:
-- Select task from `tasks.md`.
-- Generate Scaffolding (`[DEF]` anchors, Headers, Contracts) AND Implementation in one pass.
-- Ensure strict adherence to Protocol Section IV (Contracts) and Section VII (Generation Workflow).
-- **Output**: Working code with passing tests.
-
-### 2. Validation
-If logic conflicts with Contract -> Stop -> Report Error.
-
-## Governance
-This Constitution establishes the "Semantic Code Generation Protocol" as the supreme law of this repository.
-
-- **Authoritative Source**: `semantic_protocol.md` defines the specific implementation rules for these Principles.
-- **Automated Enforcement**: Tools must validate adherence to the `semantic_protocol.md` syntax.
-- **Amendments**: Changes to core principles require a Constitution amendment. Changes to technical syntax require a Protocol update.
-- **Compliance**: Failure to adhere to the Protocol constitutes a build failure.
-
-**Version**: 1.9.0 | **Ratified**: 2025-12-19 | **Last Amended**: 2026-01-27

.specify/templates/agent-file-template.md

@@ -2,6 +2,12 @@
 
 Auto-generated from all feature plans. Last updated: [DATE]
 
+## Knowledge Graph (GRACE)
+**CRITICAL**: This project uses a GRACE Knowledge Graph for context. Always load the root map first:
+- **Root Map**: `.ai/ROOT.md` -> `[DEF:Project_Knowledge_Map:Root]`
+- **Project Map**: `.ai/PROJECT_MAP.md` -> `[DEF:Project_Map]`
+- **Standards**: Read `.ai/standards/` for architecture and style rules.
+
 ## Active Technologies
 
 [EXTRACTED FROM ALL PLAN.MD FILES]

.specify/templates/plan-template.md

@@ -17,8 +17,8 @@
   the iteration process.
 -->
 
-**Language/Version**: [e.g., Python 3.11, Swift 5.9, Rust 1.75 or NEEDS CLARIFICATION]  
-**Primary Dependencies**: [e.g., FastAPI, UIKit, LLVM or NEEDS CLARIFICATION]  
+**Language/Version**: [e.g., Python 3.11, Swift 5.9, Rust 1.75 or NEEDS CLARIFICATION]
+**Primary Dependencies**: [e.g., FastAPI, Tailwind CSS, SvelteKit or NEEDS CLARIFICATION]
 **Storage**: [if applicable, e.g., PostgreSQL, CoreData, files or N/A]  
 **Testing**: [e.g., pytest, XCTest, cargo test or NEEDS CLARIFICATION]  
 **Target Platform**: [e.g., Linux server, iOS 15+, WASM or NEEDS CLARIFICATION]
@@ -102,3 +102,14 @@ directories captured above]
 |-----------|------------|-------------------------------------|
 | [e.g., 4th project] | [current need] | [why 3 projects insufficient] |
 | [e.g., Repository pattern] | [specific problem] | [why direct DB access insufficient] |
+
+## Test Data Reference
+
+> **For CRITICAL tier components, reference test fixtures from spec.md**
+
+| Component | TIER | Fixture Name | Location |
+|-----------|------|--------------|----------|
+| [e.g., DashboardAPI] | CRITICAL | valid_dashboard | spec.md#test-data-fixtures |
+| [e.g., TaskDrawer] | CRITICAL | task_states | spec.md#test-data-fixtures |
+
+**Note**: Tester Agent MUST use these fixtures when writing unit tests for CRITICAL modules. See `.ai/standards/semantics.md` for @TEST_DATA syntax.

.specify/templates/spec-template.md

@@ -1,6 +1,7 @@
 # Feature Specification: [FEATURE NAME]
 
 **Feature Branch**: `[###-feature-name]`  
+**Reference UX**: `[ux_reference.md]` (See specific folder)
 **Created**: [DATE]  
 **Status**: Draft  
 **Input**: User description: "$ARGUMENTS"
@@ -113,3 +114,52 @@
 - **SC-002**: [Measurable metric, e.g., "System handles 1000 concurrent users without degradation"]
 - **SC-003**: [User satisfaction metric, e.g., "90% of users successfully complete primary task on first attempt"]
 - **SC-004**: [Business metric, e.g., "Reduce support tickets related to [X] by 50%"]
+
+---
+
+## Test Data Fixtures *(recommended for CRITICAL components)*
+
+<!--
+  Define reference/fixture data for testing CRITICAL tier components.
+  This data will be used by the Tester Agent when writing unit tests.
+  Format: JSON or YAML that matches the component's data structures.
+-->
+
+### Fixtures
+
+```yaml
+# Example fixture format
+fixture_name:
+  description: "Description of this test data"
+  data:
+    # JSON or YAML data structure
+```
+
+### Example: Dashboard API
+
+```yaml
+valid_dashboard:
+  description: "Valid dashboard object for API responses"
+  data:
+    id: 1
+    title: "Sales Report"
+    slug: "sales"
+    git_status:
+      branch: "main"
+      sync_status: "OK"
+    last_task:
+      task_id: "task-123"
+      status: "SUCCESS"
+
+empty_dashboards:
+  description: "Empty dashboard list response"
+  data:
+    dashboards: []
+    total: 0
+    page: 1
+
+error_not_found:
+  description: "404 error response"
+  data:
+    detail: "Dashboard not found"
+```

.specify/templates/tasks-arch-template.md

@@ -1,35 +0,0 @@
----
-
-description: "Architecture task list template (Contracts & Scaffolding)"
----
-
-# Architecture Tasks: [FEATURE NAME]
-
-**Role**: Architect Agent
-**Goal**: Define the "What" and "Why" (Contracts, Scaffolding, Models) before implementation.
-**Input**: Design documents from `/specs/[###-feature-name]/`
-**Output**: Files with `[DEF]` anchors, `@PRE`/`@POST` contracts, and `@RELATION` mappings. No business logic.
-
-## Phase 1: Setup & Models
-
-- [ ] A001 Create/Update data models in [path] with `[DEF]` and contracts
-- [ ] A002 Define API route structure/contracts in [path]
-- [ ] A003 Define shared utilities/interfaces
-
-## Phase 2: User Story 1 - [Title]
-
-- [ ] A004 [US1] Define contracts for [Component/Service] in [path]
-- [ ] A005 [US1] Define contracts for [Endpoint] in [path]
-- [ ] A006 [US1] Define contracts for [Frontend Component] in [path]
-
-## Phase 3: User Story 2 - [Title]
-
-- [ ] A007 [US2] Define contracts for [Component/Service] in [path]
-- [ ] A008 [US2] Define contracts for [Endpoint] in [path]
-
-## Handover Checklist
-
-- [ ] All new files created with `[DEF]` anchors
-- [ ] All functions/classes have `@PURPOSE`, `@PRE`, `@POST` tags
-- [ ] No "naked code" (logic outside of anchors)
-- [ ] `tasks-dev.md` is ready for the Developer Agent

.specify/templates/tasks-dev-template.md

@@ -1,35 +0,0 @@
----
-
-description: "Developer task list template (Implementation Logic)"
----
-
-# Developer Tasks: [FEATURE NAME]
-
-**Role**: Developer Agent
-**Goal**: Implement the "How" (Logic, State, Error Handling) inside the defined contracts.
-**Input**: `tasks-arch.md` (completed), Scaffolding files with `[DEF]` anchors.
-**Output**: Working code that satisfies `@PRE`/`@POST` conditions.
-
-## Phase 1: Setup & Models
-
-- [ ] D001 Implement logic for [Model] in [path]
-- [ ] D002 Implement logic for [API Route] in [path]
-- [ ] D003 Implement shared utilities
-
-## Phase 2: User Story 1 - [Title]
-
-- [ ] D004 [US1] Implement logic for [Component/Service] in [path]
-- [ ] D005 [US1] Implement logic for [Endpoint] in [path]
-- [ ] D006 [US1] Implement logic for [Frontend Component] in [path]
-- [ ] D007 [US1] Verify semantic compliance and belief state logging
-
-## Phase 3: User Story 2 - [Title]
-
-- [ ] D008 [US2] Implement logic for [Component/Service] in [path]
-- [ ] D009 [US2] Implement logic for [Endpoint] in [path]
-
-## Polish & Quality Assurance
-
-- [ ] DXXX Verify all tests pass
-- [ ] DXXX Check error handling and edge cases
-- [ ] DXXX Ensure code style compliance

.specify/templates/tasks-template.md

@@ -93,7 +93,8 @@ Examples of foundational tasks (adjust based on your project):
 - [ ] T014 [US1] Implement [Service] in src/services/[service].py (depends on T012, T013)
 - [ ] T015 [US1] Implement [endpoint/feature] in src/[location]/[file].py
 - [ ] T016 [US1] Add validation and error handling
-- [ ] T017 [US1] Add logging for user story 1 operations
+- [ ] T017 [US1] [P] Implement UI using Tailwind CSS (minimize scoped styles)
+- [ ] T018 [US1] Add logging for user story 1 operations
 
 **Checkpoint**: At this point, User Story 1 should be fully functional and testable independently
 

.specify/templates/test-docs-template.md

@@ -0,0 +1,152 @@
+---
+
+description: "Test documentation template for feature implementation"
+
+---
+
+# Test Documentation: [FEATURE NAME]
+
+**Feature**: [Link to spec.md]
+**Created**: [DATE]
+**Updated**: [DATE]
+**Tester**: [Agent/User Name]
+
+---
+
+## Overview
+
+[Brief description of what this feature does and why testing is important]
+
+**Test Strategy**:
+- [ ] Unit Tests (co-located in `__tests__/` directories)
+- [ ] Integration Tests (if needed)
+- [ ] E2E Tests (if critical user flows)
+- [ ] Contract Tests (for API endpoints)
+
+---
+
+## Test Coverage Matrix
+
+| Module | File | Unit Tests | Coverage % | Status |
+|--------|------|------------|------------|--------|
+| [Module Name] | `path/to/file.py` | [x] | [XX%] | [Pass/Fail] |
+| [Module Name] | `path/to/file.svelte` | [x] | [XX%] | [Pass/Fail] |
+
+---
+
+## Test Cases
+
+### [Module Name]
+
+**Target File**: `path/to/module.py`
+
+| ID | Test Case | Type | Expected Result | Status |
+|----|-----------|------|------------------|--------|
+| TC001 | [Description] | [Unit/Integration] | [Expected] | [Pass/Fail] |
+| TC002 | [Description] | [Unit/Integration] | [Expected] | [Pass/Fail] |
+
+---
+
+## Test Execution Reports
+
+### Report [YYYY-MM-DD]
+
+**Executed by**: [Tester]
+**Duration**: [X] minutes
+**Result**: [Pass/Fail]
+
+**Summary**:
+- Total Tests: [X]
+- Passed: [X]
+- Failed: [X]
+- Skipped: [X]
+
+**Failed Tests**:
+| Test | Error | Resolution |
+|------|-------|-------------|
+| [Test Name] | [Error Message] | [How Fixed] |
+
+---
+
+## Anti-Patterns & Rules
+
+### ✅ DO
+
+1. Write tests BEFORE implementation (TDD approach)
+2. Use co-location: `src/module/__tests__/test_module.py`
+3. Use MagicMock for external dependencies (DB, Auth, APIs)
+4. Include semantic annotations: `# @RELATION: VERIFIES -> module.name`
+5. Test edge cases and error conditions
+6. **Test UX states** for Svelte components (@UX_STATE, @UX_FEEDBACK, @UX_RECOVERY)
+
+### ❌ DON'T
+
+1. Delete existing tests (only update if they fail)
+2. Duplicate tests - check for existing tests first
+3. Test implementation details, not behavior
+4. Use real external services in unit tests
+5. Skip error handling tests
+6. **Skip UX contract tests** for CRITICAL frontend components
+
+---
+
+## UX Contract Testing (Frontend)
+
+### UX States Coverage
+
+| Component | @UX_STATE | @UX_FEEDBACK | @UX_RECOVERY | Tests |
+|-----------|-----------|--------------|--------------|-------|
+| [Component] | [states] | [feedback] | [recovery] | [status] |
+
+### UX Test Cases
+
+| ID | Component | UX Tag | Test Action | Expected Result | Status |
+|----|-----------|--------|-------------|-----------------|--------|
+| UX001 | [Component] | @UX_STATE: Idle | [action] | [expected] | [Pass/Fail] |
+| UX002 | [Component] | @UX_FEEDBACK | [action] | [expected] | [Pass/Fail] |
+| UX003 | [Component] | @UX_RECOVERY | [action] | [expected] | [Pass/Fail] |
+
+### UX Test Examples
+
+```javascript
+// Testing @UX_STATE transition
+it('should transition from Idle to Loading on submit', async () => {
+  render(FormComponent);
+  await fireEvent.click(screen.getByText('Submit'));
+  expect(screen.getByTestId('form')).toHaveClass('loading');
+});
+
+// Testing @UX_FEEDBACK
+it('should show error toast on validation failure', async () => {
+  render(FormComponent);
+  await fireEvent.click(screen.getByText('Submit'));
+  expect(screen.getByRole('alert')).toHaveTextContent('Validation error');
+});
+
+// Testing @UX_RECOVERY
+it('should allow retry after error', async () => {
+  render(FormComponent);
+  // Trigger error state
+  await fireEvent.click(screen.getByText('Submit'));
+  // Click retry
+  await fireEvent.click(screen.getByText('Retry'));
+  expect(screen.getByTestId('form')).not.toHaveClass('error');
+});
+```
+
+---
+
+## Notes
+
+- [Additional notes about testing approach]
+- [Known issues or limitations]
+- [Recommendations for future testing]
+
+---
+
+## Related Documents
+
+- [spec.md](./spec.md)
+- [plan.md](./plan.md)
+- [tasks.md](./tasks.md)
+- [contracts/](./contracts/)

.specify/templates/ux-reference-template.md

@@ -0,0 +1,67 @@
+# UX Reference: [FEATURE NAME]
+
+**Feature Branch**: `[###-feature-name]`
+**Created**: [DATE]
+**Status**: Draft
+
+## 1. User Persona & Context
+
+*   **Who is the user?**: [e.g. Junior Developer, System Administrator, End User]
+*   **What is their goal?**: [e.g. Quickly deploy a hotfix, Visualize complex data]
+*   **Context**: [e.g. Running a command in a terminal on a remote server, Browsing the dashboard on a mobile device]
+
+## 2. The "Happy Path" Narrative
+
+[Write a short story (3-5 sentences) describing the perfect interaction from the user's perspective. Focus on how it *feels* - is it instant? Does it guide them?]
+
+## 3. Interface Mockups
+
+### CLI Interaction (if applicable)
+
+```bash
+# User runs this command:
+$ command --flag value
+
+# System responds immediately with:
+[ spinner ] specific loading message...
+
+# Success output:
+✅ Operation completed successfully in 1.2s
+   - Created file: /path/to/file
+   - Updated config: /path/to/config
+```
+
+### UI Layout & Flow (if applicable)
+
+**Screen/Component**: [Name]
+
+*   **Layout**: [Description of structure, e.g., "Two-column layout, left sidebar navigation..."]
+*   **Key Elements**:
+    *   **[Button Name]**: Primary action. Color: Blue.
+    *   **[Input Field]**: Placeholder text: "Enter your name...". Validation: Real-time.
+*   **States**:
+    *   **Default**: Clean state, waiting for input.
+    *   **Loading**: Skeleton loader replaces content area.
+    *   **Success**: Toast notification appears top-right: "Saved!" (Green).
+
+## 4. The "Error" Experience
+
+**Philosophy**: Don't just report the error; guide the user to the fix.
+
+### Scenario A: [Common Error, e.g. Invalid Input]
+
+*   **User Action**: Enters "123" in a text-only field.
+*   **System Response**:
+    *   (UI) Input border turns Red. Message below input: "Please enter text only."
+    *   (CLI) `❌ Error: Invalid input '123'. Expected text format.`
+*   **Recovery**: User can immediately re-type without refreshing/re-running.
+
+### Scenario B: [System Failure, e.g. Network Timeout]
+
+*   **System Response**: "Unable to connect. Retrying in 3s... (Press C to cancel)"
+*   **Recovery**: Automatic retry or explicit "Retry Now" button.
+
+## 5. Tone & Voice
+
+*   **Style**: [e.g. Concise, Technical, Friendly, Verbose]
+*   **Terminology**: [e.g. Use "Repository" not "Repo", "Directory" not "Folder"]

README.md

@@ -1,119 +1,143 @@
-# Инструменты автоматизации Superset
-
-## Обзор
-Этот репозиторий содержит Python-скрипты и библиотеку (`superset_tool`) для автоматизации задач в Apache Superset, таких как:
-- **Резервное копирование**: Экспорт всех дашбордов из экземпляра Superset в локальное хранилище.
-- **Миграция**: Перенос и преобразование дашбордов между разными средами Superset (например, Development, Sandbox, Production).
-
-## Структура проекта
-- `backup_script.py`: Основной скрипт для выполнения запланированного резервного копирования дашбордов Superset.
-- `migration_script.py`: Основной скрипт для переноса конкретных дашбордов между окружениями, включая переопределение соединений с базами данных.
-- `search_script.py`: Скрипт для поиска данных во всех доступных датасетах на сервере
-- `run_mapper.py`: CLI-скрипт для маппинга метаданных датасетов.
-- `superset_tool/`:
-    - `client.py`: Python-клиент для взаимодействия с API Superset.
-    - `exceptions.py`: Пользовательские классы исключений для структурированной обработки ошибок.
-    - `models.py`: Pydantic-модели для валидации конфигурационных данных.
-    - `utils/`:
-        - `fileio.py`: Утилиты для работы с файловой системой (работа с архивами, парсинг YAML).
-        - `logger.py`: Конфигурация логгера для единообразного логирования в проекте.
-        - `network.py`: HTTP-клиент для сетевых запросов с обработкой аутентификации и повторных попыток.
-        - `init_clients.py`: Утилита для инициализации клиентов Superset для разных окружений.
-        - `dataset_mapper.py`: Логика маппинга метаданных датасетов.
-
-## Настройка
-
-### Требования
-- Python 3.9+
-- `pip` для управления пакетами.
-- `keyring` для безопасного хранения паролей.
-
-### Установка
-1. **Клонируйте репозиторий:**
-    ```bash
-    git clone https://prod.gitlab.dwh.rusal.com/dwh_bi/superset-tools.git
-    cd superset-tools
-    ```
-2. **Установите зависимости:**
-    ```bash
-    pip install -r requirements.txt
-    ```
-    (Возможно, потребуется создать `requirements.txt` с `pydantic`, `requests`, `keyring`, `PyYAML`, `urllib3`)
-3. **Настройте пароли:**
-    Используйте `keyring` для хранения паролей API-пользователей Superset.
-    ```python
-    import keyring
-    keyring.set_password("system", "dev migrate", "пароль пользователя migrate_user")
-    keyring.set_password("system", "prod migrate", "пароль пользователя migrate_user")
-    keyring.set_password("system", "sandbox migrate", "пароль пользователя migrate_user")
-    ```
-
-## Использование
-
-### Запуск проекта (Web UI)
-Для запуска backend и frontend серверов одной командой:
-```bash
-./run.sh
-```
-Опции:
-- `--skip-install`: Пропустить проверку и установку зависимостей.
-- `--help`: Показать справку.
-
-Переменные окружения:
-- `BACKEND_PORT`: Порт для backend (по умолчанию 8000).
-- `FRONTEND_PORT`: Порт для frontend (по умолчанию 5173).
-
-### Скрипт резервного копирования (`backup_script.py`)
-Для создания резервных копий дашбордов из настроенных окружений Superset:
-```bash
-python backup_script.py
-```
-Резервные копии сохраняются в `P:\Superset\010 Бекапы\` по умолчанию. Логи хранятся в `P:\Superset\010 Бекапы\Logs`.
-
-### Скрипт миграции (`migration_script.py`)
-Для переноса конкретного дашборда:
-```bash
-python migration_script.py
-```
-
-### Скрипт поиска (`search_script.py`)
-Для поиска по текстовым паттернам в метаданных датасетов Superset:
-```bash
-python search_script.py
-```
-Скрипт использует регулярные выражения для поиска в полях датасетов, таких как SQL-запросы. Результаты поиска выводятся в лог и в консоль.
-
-### Скрипт маппинга метаданных (`run_mapper.py`)
-Для обновления метаданных датасета (например, verbose names) в Superset:
-```bash
-python run_mapper.py --source <source_type> --dataset-id <dataset_id> [--table-name <table_name>] [--table-schema <table_schema>] [--excel-path <path_to_excel>] [--env <environment>]
-```
-Если вы используете XLSX - файл должен содержать два столбца - column_name | verbose_name
-
-
-Параметры:
-- `--source`: Источник данных ('postgres', 'excel' или 'both').
-- `--dataset-id`: ID датасета для обновления.
-- `--table-name`: Имя таблицы для PostgreSQL.
-- `--table-schema`: Схема таблицы для PostgreSQL.
-- `--excel-path`: Путь к Excel-файлу.
-- `--env`: Окружение Superset ('dev', 'prod' и т.д.).
-
-Пример использования:
-```bash
-python run_mapper.py --source postgres --dataset-id 123 --table-name account_debt --table-schema dm_view --env dev
-
-python run_mapper.py --source=excel --dataset-id=286 --excel-path=H:\dev\ss-tools\286_map.xlsx --env=dev
-```
-
-## Логирование
-Логи пишутся в файл в директории `Logs` (например, `P:\Superset\010 Бекапы\Logs` для резервных копий) и выводятся в консоль. Уровень логирования по умолчанию — `INFO`.
-
-## Разработка и вклад
-- Следуйте **Semantic Code Generation Protocol** (см. `semantic_protocol.md`):
-    - Все определения обернуты в `[DEF]...[/DEF]`.
-    - Контракты (`@PRE`, `@POST`) определяются ДО реализации.
-    - Строгая типизация и иммутабельность архитектурных решений.
-- Соблюдайте Конституцию проекта (`.specify/memory/constitution.md`).
-- Используйте `Pydantic`-модели для валидации данных.
-- Реализуйте всестороннюю обработку ошибок с помощью пользовательских исключений.
+# ss-tools
+
+Инструменты автоматизации для Apache Superset: миграция, маппинг, хранение артефактов, Git-интеграция, отчеты по задачам и LLM-assistant.
+
+## Возможности
+- Миграция дашбордов и датасетов между окружениями.
+- Ручной и полуавтоматический маппинг ресурсов.
+- Логи фоновых задач и отчеты о выполнении.
+- Локальное хранилище файлов и бэкапов.
+- Git-операции по Superset-ассетам через UI.
+- Модуль LLM-анализа и assistant API.
+- Многопользовательская авторизация (RBAC).
+
+## Стек
+- Backend: Python, FastAPI, SQLAlchemy, APScheduler.
+- Frontend: SvelteKit, Vite, Tailwind CSS.
+- База данных: PostgreSQL (основная конфигурация), поддержка миграции с legacy SQLite.
+
+## Структура репозитория
+- `backend/` — API, плагины, сервисы, скрипты миграции и тесты.
+- `frontend/` — SPA-интерфейс (SvelteKit).
+- `docs/` — документация по архитектуре и плагинам.
+- `specs/` — спецификации и планы реализации.
+- `docker/` и `docker-compose.yml` — контейнеризация.
+
+## Быстрый старт (локально)
+
+### Требования
+- Python 3.9+
+- Node.js 18+
+- npm
+
+### Запуск backend + frontend одним скриптом
+```bash
+./run.sh
+```
+
+Что делает `run.sh`:
+- проверяет версии Python/npm;
+- создает `backend/.venv` (если нет);
+- устанавливает `backend/requirements.txt` и `frontend` зависимости;
+- запускает backend и frontend параллельно.
+
+Опции:
+- `./run.sh --skip-install` — пропустить установку зависимостей.
+- `./run.sh --help` — показать справку.
+
+Переменные окружения для локального запуска:
+- `BACKEND_PORT` (по умолчанию `8000`)
+- `FRONTEND_PORT` (по умолчанию `5173`)
+- `POSTGRES_URL`
+- `DATABASE_URL`
+- `TASKS_DATABASE_URL`
+- `AUTH_DATABASE_URL`
+
+## Docker
+
+### Запуск
+```bash
+docker compose up --build
+```
+
+После старта сервисы доступны по адресам:
+- Frontend: `http://localhost:8000`
+- Backend API: `http://localhost:8001`
+- PostgreSQL: `localhost:5432` (`postgres/postgres`, БД `ss_tools`)
+
+### Остановка
+```bash
+docker compose down
+```
+
+### Очистка БД-тома
+```bash
+docker compose down -v
+```
+
+### Альтернативный образ PostgreSQL
+Если есть проблемы с pull `postgres:16-alpine`:
+```bash
+POSTGRES_IMAGE=mirror.gcr.io/library/postgres:16-alpine docker compose up -d db
+```
+или
+```bash
+POSTGRES_IMAGE=bitnami/postgresql:latest docker compose up -d db
+```
+
+Если порт `5432` занят:
+```bash
+POSTGRES_HOST_PORT=5433 docker compose up -d db
+```
+
+## Разработка
+
+### Ручной запуск сервисов
+```bash
+cd backend
+python3 -m venv .venv
+source .venv/bin/activate
+pip install -r requirements.txt
+python3 -m uvicorn src.app:app --reload --port 8000
+```
+
+В другом терминале:
+```bash
+cd frontend
+npm install
+npm run dev -- --port 5173
+```
+
+### Тесты
+Backend:
+```bash
+cd backend
+source .venv/bin/activate
+pytest
+```
+
+Frontend:
+```bash
+cd frontend
+npm run test
+```
+
+## Инициализация auth (опционально)
+```bash
+cd backend
+source .venv/bin/activate
+python src/scripts/init_auth_db.py
+python src/scripts/create_admin.py --username admin --password admin
+```
+
+## Миграция legacy-данных (опционально)
+```bash
+cd backend
+source .venv/bin/activate
+PYTHONPATH=. python src/scripts/migrate_sqlite_to_postgres.py --sqlite-path tasks.db
+```
+
+## Дополнительная документация
+- `docs/plugin_dev.md`
+- `docs/settings.md`
+- `semantic_protocol.md`

backend/get_full_key.py

@@ -0,0 +1 @@
+{"print(f'Length": {"else": "print('Provider not found')\ndb.close()"}}

backend/requirements.txt

@@ -50,4 +50,8 @@ psycopg2-binary
 openpyxl
 GitPython==3.1.44
 itsdangerous
-email-validator
+email-validator
+openai
+playwright
+tenacity
+Pillow

backend/src/api/routes/__init__.py

@@ -1 +1,23 @@
-from . import plugins, tasks, settings, connections, environments, mappings, migration, git, storage, admin
+# [DEF:backend.src.api.routes.__init__:Module]
+# @TIER: STANDARD
+# @SEMANTICS: routes, lazy-import, module-registry
+# @PURPOSE: Provide lazy route module loading to avoid heavyweight imports during tests.
+# @LAYER: API
+# @RELATION: DEPENDS_ON -> importlib
+# @INVARIANT: Only names listed in __all__ are importable via __getattr__.
+
+__all__ = ['plugins', 'tasks', 'settings', 'connections', 'environments', 'mappings', 'migration', 'git', 'storage', 'admin', 'reports', 'assistant']
+
+
+# [DEF:__getattr__:Function]
+# @TIER: TRIVIAL
+# @PURPOSE: Lazily import route module by attribute name.
+# @PRE: name is module candidate exposed in __all__.
+# @POST: Returns imported submodule or raises AttributeError.
+def __getattr__(name):
+    if name in __all__:
+        import importlib
+        return importlib.import_module(f".{name}", __name__)
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
+# [/DEF:__getattr__:Function]
+# [/DEF:backend.src.api.routes.__init__:Module]

backend/src/api/routes/__tests__/test_assistant_api.py

@@ -0,0 +1,558 @@
+# [DEF:backend.src.api.routes.__tests__.test_assistant_api:Module]
+# @TIER: STANDARD
+# @SEMANTICS: tests, assistant, api, confirmation, status
+# @PURPOSE: Validate assistant API endpoint logic via direct async handler invocation.
+# @LAYER: UI (API Tests)
+# @RELATION: DEPENDS_ON -> backend.src.api.routes.assistant
+# @INVARIANT: Every test clears assistant in-memory state before execution.
+
+import os
+import asyncio
+from types import SimpleNamespace
+from datetime import datetime, timedelta
+
+# Force isolated sqlite databases for test module before dependencies import.
+os.environ.setdefault("DATABASE_URL", "sqlite:////tmp/ss_tools_assistant_api.db")
+os.environ.setdefault("TASKS_DATABASE_URL", "sqlite:////tmp/ss_tools_assistant_tasks.db")
+os.environ.setdefault("AUTH_DATABASE_URL", "sqlite:////tmp/ss_tools_assistant_auth.db")
+
+from src.api.routes import assistant as assistant_module
+from src.models.assistant import (
+    AssistantAuditRecord,
+    AssistantConfirmationRecord,
+    AssistantMessageRecord,
+)
+
+
+# [DEF:_run_async:Function]
+# @TIER: TRIVIAL
+# @PURPOSE: Execute async endpoint handler in synchronous test context.
+# @PRE: coroutine is awaitable endpoint invocation.
+# @POST: Returns coroutine result or raises propagated exception.
+def _run_async(coroutine):
+    return asyncio.run(coroutine)
+
+
+# [/DEF:_run_async:Function]
+# [DEF:_FakeTask:Class]
+# @TIER: TRIVIAL
+# @PURPOSE: Lightweight task stub used by assistant API tests.
+class _FakeTask:
+    def __init__(self, task_id: str, status: str = "RUNNING", user_id: str = "u-admin"):
+        self.id = task_id
+        self.status = status
+        self.user_id = user_id
+
+
+# [/DEF:_FakeTask:Class]
+# [DEF:_FakeTaskManager:Class]
+# @TIER: TRIVIAL
+# @PURPOSE: Minimal async-compatible TaskManager fixture for deterministic test flows.
+class _FakeTaskManager:
+    def __init__(self):
+        self._created = []
+
+    async def create_task(self, plugin_id, params, user_id=None):
+        task_id = f"task-{len(self._created) + 1}"
+        task = _FakeTask(task_id=task_id, status="RUNNING", user_id=user_id)
+        self._created.append((plugin_id, params, user_id, task))
+        return task
+
+    def get_task(self, task_id):
+        for _, _, _, task in self._created:
+            if task.id == task_id:
+                return task
+        return None
+
+    def get_tasks(self, limit=20, offset=0):
+        return [x[3] for x in self._created][offset : offset + limit]
+
+
+# [/DEF:_FakeTaskManager:Class]
+# [DEF:_FakeConfigManager:Class]
+# @TIER: TRIVIAL
+# @PURPOSE: Environment config fixture with dev/prod aliases for parser tests.
+class _FakeConfigManager:
+    def get_environments(self):
+        return [
+            SimpleNamespace(id="dev", name="Development"),
+            SimpleNamespace(id="prod", name="Production"),
+        ]
+
+
+# [/DEF:_FakeConfigManager:Class]
+# [DEF:_admin_user:Function]
+# @TIER: TRIVIAL
+# @PURPOSE: Build admin principal fixture.
+# @PRE: Test harness requires authenticated admin-like principal object.
+# @POST: Returns user stub with Admin role.
+def _admin_user():
+    role = SimpleNamespace(name="Admin", permissions=[])
+    return SimpleNamespace(id="u-admin", username="admin", roles=[role])
+
+
+# [/DEF:_admin_user:Function]
+# [DEF:_limited_user:Function]
+# @TIER: TRIVIAL
+# @PURPOSE: Build non-admin principal fixture.
+# @PRE: Test harness requires restricted principal for deny scenarios.
+# @POST: Returns user stub without admin privileges.
+def _limited_user():
+    role = SimpleNamespace(name="Operator", permissions=[])
+    return SimpleNamespace(id="u-limited", username="limited", roles=[role])
+
+
+# [/DEF:_limited_user:Function]
+# [DEF:_FakeQuery:Class]
+# @TIER: TRIVIAL
+# @PURPOSE: Minimal chainable query object for fake SQLAlchemy-like DB behavior in tests.
+class _FakeQuery:
+    def __init__(self, rows):
+        self._rows = list(rows)
+
+    def filter(self, *args, **kwargs):
+        return self
+
+    def order_by(self, *args, **kwargs):
+        return self
+
+    def first(self):
+        return self._rows[0] if self._rows else None
+
+    def all(self):
+        return list(self._rows)
+
+    def count(self):
+        return len(self._rows)
+
+    def offset(self, offset):
+        self._rows = self._rows[offset:]
+        return self
+
+    def limit(self, limit):
+        self._rows = self._rows[:limit]
+        return self
+
+
+# [/DEF:_FakeQuery:Class]
+# [DEF:_FakeDb:Class]
+# @TIER: TRIVIAL
+# @PURPOSE: In-memory fake database implementing subset of Session interface used by assistant routes.
+class _FakeDb:
+    def __init__(self):
+        self._messages = []
+        self._confirmations = []
+        self._audit = []
+
+    def add(self, row):
+        table = getattr(row, "__tablename__", "")
+        if table == "assistant_messages":
+            self._messages.append(row)
+            return
+        if table == "assistant_confirmations":
+            self._confirmations.append(row)
+            return
+        if table == "assistant_audit":
+            self._audit.append(row)
+
+    def merge(self, row):
+        table = getattr(row, "__tablename__", "")
+        if table != "assistant_confirmations":
+            self.add(row)
+            return row
+
+        for i, existing in enumerate(self._confirmations):
+            if getattr(existing, "id", None) == getattr(row, "id", None):
+                self._confirmations[i] = row
+                return row
+        self._confirmations.append(row)
+        return row
+
+    def query(self, model):
+        if model is AssistantMessageRecord:
+            return _FakeQuery(self._messages)
+        if model is AssistantConfirmationRecord:
+            return _FakeQuery(self._confirmations)
+        if model is AssistantAuditRecord:
+            return _FakeQuery(self._audit)
+        return _FakeQuery([])
+
+    def commit(self):
+        return None
+
+    def rollback(self):
+        return None
+
+
+# [/DEF:_FakeDb:Class]
+# [DEF:_clear_assistant_state:Function]
+# @TIER: TRIVIAL
+# @PURPOSE: Reset in-memory assistant registries for isolation between tests.
+# @PRE: Assistant module globals may contain residues from previous test runs.
+# @POST: In-memory conversation/confirmation/audit dictionaries are empty.
+def _clear_assistant_state():
+    assistant_module.CONVERSATIONS.clear()
+    assistant_module.USER_ACTIVE_CONVERSATION.clear()
+    assistant_module.CONFIRMATIONS.clear()
+    assistant_module.ASSISTANT_AUDIT.clear()
+
+
+# [/DEF:_clear_assistant_state:Function]
+# [DEF:test_unknown_command_returns_needs_clarification:Function]
+# @PURPOSE: Unknown command should return clarification state and unknown intent.
+# @PRE: Fake dependencies provide admin user and deterministic task/config/db services.
+# @POST: Response state is needs_clarification and no execution side-effect occurs.
+def test_unknown_command_returns_needs_clarification():
+    _clear_assistant_state()
+    response = _run_async(
+        assistant_module.send_message(
+            request=assistant_module.AssistantMessageRequest(message="сделай что-нибудь"),
+            current_user=_admin_user(),
+            task_manager=_FakeTaskManager(),
+            config_manager=_FakeConfigManager(),
+            db=_FakeDb(),
+        )
+    )
+    assert response.state == "needs_clarification"
+    assert response.intent["domain"] == "unknown"
+
+
+# [/DEF:test_unknown_command_returns_needs_clarification:Function]
+
+
+# [DEF:test_capabilities_question_returns_successful_help:Function]
+# @PURPOSE: Capability query should return deterministic help response, not clarification.
+# @PRE: User sends natural-language "what can you do" style query.
+# @POST: Response is successful and includes capabilities summary.
+def test_capabilities_question_returns_successful_help():
+    _clear_assistant_state()
+    response = _run_async(
+        assistant_module.send_message(
+            request=assistant_module.AssistantMessageRequest(message="Что ты умеешь?"),
+            current_user=_admin_user(),
+            task_manager=_FakeTaskManager(),
+            config_manager=_FakeConfigManager(),
+            db=_FakeDb(),
+        )
+    )
+    assert response.state == "success"
+    assert "Вот что я могу сделать" in response.text
+    assert "Миграции" in response.text or "Git" in response.text
+
+
+# [/DEF:test_capabilities_question_returns_successful_help:Function]
+# [DEF:test_non_admin_command_returns_denied:Function]
+# @PURPOSE: Non-admin user must receive denied state for privileged command.
+# @PRE: Limited principal executes privileged git branch command.
+# @POST: Response state is denied and operation is not executed.
+def test_non_admin_command_returns_denied():
+    _clear_assistant_state()
+    response = _run_async(
+        assistant_module.send_message(
+            request=assistant_module.AssistantMessageRequest(
+                message="создай ветку feature/test для дашборда 12"
+            ),
+            current_user=_limited_user(),
+            task_manager=_FakeTaskManager(),
+            config_manager=_FakeConfigManager(),
+            db=_FakeDb(),
+        )
+    )
+    assert response.state == "denied"
+
+
+# [/DEF:test_non_admin_command_returns_denied:Function]
+# [DEF:test_migration_to_prod_requires_confirmation_and_can_be_confirmed:Function]
+# @PURPOSE: Migration to prod must require confirmation and then start task after explicit confirm.
+# @PRE: Admin principal submits dangerous migration command.
+# @POST: Confirmation endpoint transitions flow to started state with task id.
+def test_migration_to_prod_requires_confirmation_and_can_be_confirmed():
+    _clear_assistant_state()
+    task_manager = _FakeTaskManager()
+    db = _FakeDb()
+
+    first = _run_async(
+        assistant_module.send_message(
+            request=assistant_module.AssistantMessageRequest(
+                message="запусти миграцию с dev на prod для дашборда 12"
+            ),
+            current_user=_admin_user(),
+            task_manager=task_manager,
+            config_manager=_FakeConfigManager(),
+            db=db,
+        )
+    )
+    assert first.state == "needs_confirmation"
+    assert first.confirmation_id
+
+    second = _run_async(
+        assistant_module.confirm_operation(
+            confirmation_id=first.confirmation_id,
+            current_user=_admin_user(),
+            task_manager=task_manager,
+            config_manager=_FakeConfigManager(),
+            db=db,
+        )
+    )
+    assert second.state == "started"
+    assert second.task_id.startswith("task-")
+
+
+# [/DEF:test_migration_to_prod_requires_confirmation_and_can_be_confirmed:Function]
+# [DEF:test_status_query_returns_task_status:Function]
+# @PURPOSE: Task status command must surface current status text for existing task id.
+# @PRE: At least one task exists after confirmed operation.
+# @POST: Status query returns started/success and includes referenced task id.
+def test_status_query_returns_task_status():
+    _clear_assistant_state()
+    task_manager = _FakeTaskManager()
+    db = _FakeDb()
+
+    start = _run_async(
+        assistant_module.send_message(
+            request=assistant_module.AssistantMessageRequest(
+                message="запусти миграцию с dev на prod для дашборда 10"
+            ),
+            current_user=_admin_user(),
+            task_manager=task_manager,
+            config_manager=_FakeConfigManager(),
+            db=db,
+        )
+    )
+    confirm = _run_async(
+        assistant_module.confirm_operation(
+            confirmation_id=start.confirmation_id,
+            current_user=_admin_user(),
+            task_manager=task_manager,
+            config_manager=_FakeConfigManager(),
+            db=db,
+        )
+    )
+    task_id = confirm.task_id
+
+    status_resp = _run_async(
+        assistant_module.send_message(
+            request=assistant_module.AssistantMessageRequest(
+                message=f"проверь статус задачи {task_id}"
+            ),
+            current_user=_admin_user(),
+            task_manager=task_manager,
+            config_manager=_FakeConfigManager(),
+            db=db,
+        )
+    )
+    assert status_resp.state in {"started", "success"}
+    assert task_id in status_resp.text
+
+
+# [/DEF:test_status_query_returns_task_status:Function]
+# [DEF:test_status_query_without_task_id_returns_latest_user_task:Function]
+# @PURPOSE: Status command without explicit task_id should resolve to latest task for current user.
+# @PRE: User has at least one created task in task manager history.
+# @POST: Response references latest task status without explicit task id in command.
+def test_status_query_without_task_id_returns_latest_user_task():
+    _clear_assistant_state()
+    task_manager = _FakeTaskManager()
+    db = _FakeDb()
+
+    start = _run_async(
+        assistant_module.send_message(
+            request=assistant_module.AssistantMessageRequest(
+                message="запусти миграцию с dev на prod для дашборда 33"
+            ),
+            current_user=_admin_user(),
+            task_manager=task_manager,
+            config_manager=_FakeConfigManager(),
+            db=db,
+        )
+    )
+    _run_async(
+        assistant_module.confirm_operation(
+            confirmation_id=start.confirmation_id,
+            current_user=_admin_user(),
+            task_manager=task_manager,
+            config_manager=_FakeConfigManager(),
+            db=db,
+        )
+    )
+
+    status_resp = _run_async(
+        assistant_module.send_message(
+            request=assistant_module.AssistantMessageRequest(
+                message="покажи статус последней задачи"
+            ),
+            current_user=_admin_user(),
+            task_manager=task_manager,
+            config_manager=_FakeConfigManager(),
+            db=db,
+        )
+    )
+    assert status_resp.state in {"started", "success"}
+    assert "Последняя задача:" in status_resp.text
+
+
+# [/DEF:test_status_query_without_task_id_returns_latest_user_task:Function]
+# [DEF:test_llm_validation_missing_dashboard_returns_needs_clarification:Function]
+# @PURPOSE: LLM validation command without resolvable dashboard id must request clarification instead of generic failure.
+# @PRE: Command intent resolves to run_llm_validation but dashboard id cannot be inferred.
+# @POST: Assistant response state is needs_clarification with guidance text.
+def test_llm_validation_missing_dashboard_returns_needs_clarification():
+    _clear_assistant_state()
+    response = _run_async(
+        assistant_module.send_message(
+            request=assistant_module.AssistantMessageRequest(
+                message="Я хочу сделать валидацию дашборда test1"
+            ),
+            current_user=_admin_user(),
+            task_manager=_FakeTaskManager(),
+            config_manager=_FakeConfigManager(),
+            db=_FakeDb(),
+        )
+    )
+
+    assert response.state == "needs_clarification"
+    assert "Укажите" in response.text or "Missing dashboard_id" in response.text
+
+
+# [/DEF:test_llm_validation_missing_dashboard_returns_needs_clarification:Function]
+
+
+# [DEF:test_list_conversations_groups_by_conversation_and_marks_archived:Function]
+# @PURPOSE: Conversations endpoint must group messages and compute archived marker by inactivity threshold.
+# @PRE: Fake DB contains two conversations with different update timestamps.
+# @POST: Response includes both conversations with archived flag set for stale one.
+def test_list_conversations_groups_by_conversation_and_marks_archived():
+    _clear_assistant_state()
+    db = _FakeDb()
+    now = datetime.utcnow()
+
+    db.add(
+        AssistantMessageRecord(
+            id="m-1",
+            user_id="u-admin",
+            conversation_id="conv-active",
+            role="user",
+            text="active chat",
+            created_at=now,
+        )
+    )
+    db.add(
+        AssistantMessageRecord(
+            id="m-2",
+            user_id="u-admin",
+            conversation_id="conv-old",
+            role="user",
+            text="old chat",
+            created_at=now - timedelta(days=assistant_module.ASSISTANT_ARCHIVE_AFTER_DAYS + 2),
+        )
+    )
+
+    result = _run_async(
+        assistant_module.list_conversations(
+            page=1,
+            page_size=20,
+            include_archived=True,
+            search=None,
+            current_user=_admin_user(),
+            db=db,
+        )
+    )
+
+    assert result["total"] == 2
+    by_id = {item["conversation_id"]: item for item in result["items"]}
+    assert by_id["conv-active"]["archived"] is False
+    assert by_id["conv-old"]["archived"] is True
+
+
+# [/DEF:test_list_conversations_groups_by_conversation_and_marks_archived:Function]
+
+
+# [DEF:test_history_from_latest_returns_recent_page_first:Function]
+# @PURPOSE: History endpoint from_latest mode must return newest page while preserving chronological order in chunk.
+# @PRE: Conversation has more messages than single page size.
+# @POST: First page returns latest messages and has_next indicates older pages exist.
+def test_history_from_latest_returns_recent_page_first():
+    _clear_assistant_state()
+    db = _FakeDb()
+    base_time = datetime.utcnow() - timedelta(minutes=10)
+    conv_id = "conv-paginated"
+    for i in range(4, -1, -1):
+        db.add(
+            AssistantMessageRecord(
+                id=f"msg-{i}",
+                user_id="u-admin",
+                conversation_id=conv_id,
+                role="user" if i % 2 == 0 else "assistant",
+                text=f"message-{i}",
+                created_at=base_time + timedelta(minutes=i),
+            )
+        )
+
+    result = _run_async(
+        assistant_module.get_history(
+            page=1,
+            page_size=2,
+            conversation_id=conv_id,
+            from_latest=True,
+            current_user=_admin_user(),
+            db=db,
+        )
+    )
+
+    assert result["from_latest"] is True
+    assert result["has_next"] is True
+    # Chunk is chronological while representing latest page.
+    assert [item["text"] for item in result["items"]] == ["message-3", "message-4"]
+
+
+# [/DEF:test_history_from_latest_returns_recent_page_first:Function]
+
+
+# [DEF:test_list_conversations_archived_only_filters_active:Function]
+# @PURPOSE: archived_only mode must return only archived conversations.
+# @PRE: Dataset includes one active and one archived conversation.
+# @POST: Only archived conversation remains in response payload.
+def test_list_conversations_archived_only_filters_active():
+    _clear_assistant_state()
+    db = _FakeDb()
+    now = datetime.utcnow()
+    db.add(
+        AssistantMessageRecord(
+            id="m-active",
+            user_id="u-admin",
+            conversation_id="conv-active-2",
+            role="user",
+            text="active",
+            created_at=now,
+        )
+    )
+    db.add(
+        AssistantMessageRecord(
+            id="m-archived",
+            user_id="u-admin",
+            conversation_id="conv-archived-2",
+            role="user",
+            text="archived",
+            created_at=now - timedelta(days=assistant_module.ASSISTANT_ARCHIVE_AFTER_DAYS + 3),
+        )
+    )
+
+    result = _run_async(
+        assistant_module.list_conversations(
+            page=1,
+            page_size=20,
+            include_archived=True,
+            archived_only=True,
+            search=None,
+            current_user=_admin_user(),
+            db=db,
+        )
+    )
+
+    assert result["total"] == 1
+    assert result["items"][0]["conversation_id"] == "conv-archived-2"
+    assert result["items"][0]["archived"] is True
+
+
+# [/DEF:test_list_conversations_archived_only_filters_active:Function]
+# [/DEF:backend.src.api.routes.__tests__.test_assistant_api:Module]

backend/src/api/routes/__tests__/test_assistant_authz.py

@@ -0,0 +1,306 @@
+# [DEF:backend.src.api.routes.__tests__.test_assistant_authz:Module]
+# @TIER: STANDARD
+# @SEMANTICS: tests, assistant, authz, confirmation, rbac
+# @PURPOSE: Verify assistant confirmation ownership, expiration, and deny behavior for restricted users.
+# @LAYER: UI (API Tests)
+# @RELATION: DEPENDS_ON -> backend.src.api.routes.assistant
+# @INVARIANT: Security-sensitive flows fail closed for unauthorized actors.
+
+import os
+import asyncio
+from datetime import datetime, timedelta
+from types import SimpleNamespace
+
+import pytest
+from fastapi import HTTPException
+
+# Force isolated sqlite databases for test module before dependencies import.
+os.environ.setdefault("DATABASE_URL", "sqlite:////tmp/ss_tools_assistant_authz.db")
+os.environ.setdefault("TASKS_DATABASE_URL", "sqlite:////tmp/ss_tools_assistant_authz_tasks.db")
+os.environ.setdefault("AUTH_DATABASE_URL", "sqlite:////tmp/ss_tools_assistant_authz_auth.db")
+
+from src.api.routes import assistant as assistant_module
+from src.models.assistant import (
+    AssistantAuditRecord,
+    AssistantConfirmationRecord,
+    AssistantMessageRecord,
+)
+
+
+# [DEF:_run_async:Function]
+# @TIER: TRIVIAL
+# @PURPOSE: Execute async endpoint handler in synchronous test context.
+# @PRE: coroutine is awaitable endpoint invocation.
+# @POST: Returns coroutine result or raises propagated exception.
+def _run_async(coroutine):
+    return asyncio.run(coroutine)
+
+
+# [/DEF:_run_async:Function]
+# [DEF:_FakeTask:Class]
+# @TIER: TRIVIAL
+# @PURPOSE: Lightweight task model used for assistant authz tests.
+class _FakeTask:
+    def __init__(self, task_id: str, status: str = "RUNNING", user_id: str = "u-admin"):
+        self.id = task_id
+        self.status = status
+        self.user_id = user_id
+
+
+# [/DEF:_FakeTask:Class]
+# [DEF:_FakeTaskManager:Class]
+# @TIER: TRIVIAL
+# @PURPOSE: Minimal task manager for deterministic operation creation and lookup.
+class _FakeTaskManager:
+    def __init__(self):
+        self._created = []
+
+    async def create_task(self, plugin_id, params, user_id=None):
+        task_id = f"task-{len(self._created) + 1}"
+        task = _FakeTask(task_id=task_id, status="RUNNING", user_id=user_id)
+        self._created.append((plugin_id, params, user_id, task))
+        return task
+
+    def get_task(self, task_id):
+        for _, _, _, task in self._created:
+            if task.id == task_id:
+                return task
+        return None
+
+    def get_tasks(self, limit=20, offset=0):
+        return [x[3] for x in self._created][offset : offset + limit]
+
+
+# [/DEF:_FakeTaskManager:Class]
+# [DEF:_FakeConfigManager:Class]
+# @TIER: TRIVIAL
+# @PURPOSE: Provide deterministic environment aliases required by intent parsing.
+class _FakeConfigManager:
+    def get_environments(self):
+        return [
+            SimpleNamespace(id="dev", name="Development"),
+            SimpleNamespace(id="prod", name="Production"),
+        ]
+
+
+# [/DEF:_FakeConfigManager:Class]
+# [DEF:_admin_user:Function]
+# @TIER: TRIVIAL
+# @PURPOSE: Build admin principal fixture.
+# @PRE: Test requires privileged principal for risky operations.
+# @POST: Returns admin-like user stub with Admin role.
+def _admin_user():
+    role = SimpleNamespace(name="Admin", permissions=[])
+    return SimpleNamespace(id="u-admin", username="admin", roles=[role])
+
+
+# [/DEF:_admin_user:Function]
+# [DEF:_other_admin_user:Function]
+# @TIER: TRIVIAL
+# @PURPOSE: Build second admin principal fixture for ownership tests.
+# @PRE: Ownership mismatch scenario needs distinct authenticated actor.
+# @POST: Returns alternate admin-like user stub.
+def _other_admin_user():
+    role = SimpleNamespace(name="Admin", permissions=[])
+    return SimpleNamespace(id="u-admin-2", username="admin2", roles=[role])
+
+
+# [/DEF:_other_admin_user:Function]
+# [DEF:_limited_user:Function]
+# @TIER: TRIVIAL
+# @PURPOSE: Build limited principal without required assistant execution privileges.
+# @PRE: Permission denial scenario needs non-admin actor.
+# @POST: Returns restricted user stub.
+def _limited_user():
+    role = SimpleNamespace(name="Operator", permissions=[])
+    return SimpleNamespace(id="u-limited", username="limited", roles=[role])
+
+
+# [/DEF:_limited_user:Function]
+# [DEF:_FakeQuery:Class]
+# @TIER: TRIVIAL
+# @PURPOSE: Minimal chainable query object for fake DB interactions.
+class _FakeQuery:
+    def __init__(self, rows):
+        self._rows = list(rows)
+
+    def filter(self, *args, **kwargs):
+        return self
+
+    def order_by(self, *args, **kwargs):
+        return self
+
+    def first(self):
+        return self._rows[0] if self._rows else None
+
+    def all(self):
+        return list(self._rows)
+
+    def limit(self, limit):
+        self._rows = self._rows[:limit]
+        return self
+
+    def offset(self, offset):
+        self._rows = self._rows[offset:]
+        return self
+
+    def count(self):
+        return len(self._rows)
+
+
+# [/DEF:_FakeQuery:Class]
+# [DEF:_FakeDb:Class]
+# @TIER: TRIVIAL
+# @PURPOSE: In-memory session substitute for assistant route persistence calls.
+class _FakeDb:
+    def __init__(self):
+        self._messages = []
+        self._confirmations = []
+        self._audit = []
+
+    def add(self, row):
+        table = getattr(row, "__tablename__", "")
+        if table == "assistant_messages":
+            self._messages.append(row)
+        elif table == "assistant_confirmations":
+            self._confirmations.append(row)
+        elif table == "assistant_audit":
+            self._audit.append(row)
+
+    def merge(self, row):
+        if getattr(row, "__tablename__", "") != "assistant_confirmations":
+            self.add(row)
+            return row
+
+        for i, existing in enumerate(self._confirmations):
+            if getattr(existing, "id", None) == getattr(row, "id", None):
+                self._confirmations[i] = row
+                return row
+        self._confirmations.append(row)
+        return row
+
+    def query(self, model):
+        if model is AssistantMessageRecord:
+            return _FakeQuery(self._messages)
+        if model is AssistantConfirmationRecord:
+            return _FakeQuery(self._confirmations)
+        if model is AssistantAuditRecord:
+            return _FakeQuery(self._audit)
+        return _FakeQuery([])
+
+    def commit(self):
+        return None
+
+    def rollback(self):
+        return None
+
+
+# [/DEF:_FakeDb:Class]
+# [DEF:_clear_assistant_state:Function]
+# @TIER: TRIVIAL
+# @PURPOSE: Reset assistant process-local state between test cases.
+# @PRE: Assistant globals may contain state from prior tests.
+# @POST: Assistant in-memory state dictionaries are cleared.
+def _clear_assistant_state():
+    assistant_module.CONVERSATIONS.clear()
+    assistant_module.USER_ACTIVE_CONVERSATION.clear()
+    assistant_module.CONFIRMATIONS.clear()
+    assistant_module.ASSISTANT_AUDIT.clear()
+
+
+# [/DEF:_clear_assistant_state:Function]
+# [DEF:test_confirmation_owner_mismatch_returns_403:Function]
+# @PURPOSE: Confirm endpoint should reject requests from user that does not own the confirmation token.
+# @PRE: Confirmation token is created by first admin actor.
+# @POST: Second actor receives 403 on confirm operation.
+def test_confirmation_owner_mismatch_returns_403():
+    _clear_assistant_state()
+    task_manager = _FakeTaskManager()
+    db = _FakeDb()
+
+    create = _run_async(
+        assistant_module.send_message(
+            request=assistant_module.AssistantMessageRequest(
+                message="запусти миграцию с dev на prod для дашборда 18"
+            ),
+            current_user=_admin_user(),
+            task_manager=task_manager,
+            config_manager=_FakeConfigManager(),
+            db=db,
+        )
+    )
+    assert create.state == "needs_confirmation"
+
+    with pytest.raises(HTTPException) as exc:
+        _run_async(
+            assistant_module.confirm_operation(
+                confirmation_id=create.confirmation_id,
+                current_user=_other_admin_user(),
+                task_manager=task_manager,
+                config_manager=_FakeConfigManager(),
+                db=db,
+            )
+        )
+    assert exc.value.status_code == 403
+
+
+# [/DEF:test_confirmation_owner_mismatch_returns_403:Function]
+# [DEF:test_expired_confirmation_cannot_be_confirmed:Function]
+# @PURPOSE: Expired confirmation token should be rejected and not create task.
+# @PRE: Confirmation token exists and is manually expired before confirm request.
+# @POST: Confirm endpoint raises 400 and no task is created.
+def test_expired_confirmation_cannot_be_confirmed():
+    _clear_assistant_state()
+    task_manager = _FakeTaskManager()
+    db = _FakeDb()
+
+    create = _run_async(
+        assistant_module.send_message(
+            request=assistant_module.AssistantMessageRequest(
+                message="запусти миграцию с dev на prod для дашборда 19"
+            ),
+            current_user=_admin_user(),
+            task_manager=task_manager,
+            config_manager=_FakeConfigManager(),
+            db=db,
+        )
+    )
+    assistant_module.CONFIRMATIONS[create.confirmation_id].expires_at = datetime.utcnow() - timedelta(minutes=1)
+
+    with pytest.raises(HTTPException) as exc:
+        _run_async(
+            assistant_module.confirm_operation(
+                confirmation_id=create.confirmation_id,
+                current_user=_admin_user(),
+                task_manager=task_manager,
+                config_manager=_FakeConfigManager(),
+                db=db,
+            )
+        )
+    assert exc.value.status_code == 400
+    assert task_manager.get_tasks(limit=10, offset=0) == []
+
+
+# [/DEF:test_expired_confirmation_cannot_be_confirmed:Function]
+# [DEF:test_limited_user_cannot_launch_restricted_operation:Function]
+# @PURPOSE: Limited user should receive denied state for privileged operation.
+# @PRE: Restricted user attempts dangerous deploy command.
+# @POST: Assistant returns denied state and does not execute operation.
+def test_limited_user_cannot_launch_restricted_operation():
+    _clear_assistant_state()
+    response = _run_async(
+        assistant_module.send_message(
+            request=assistant_module.AssistantMessageRequest(
+                message="задеплой дашборд 88 в production"
+            ),
+            current_user=_limited_user(),
+            task_manager=_FakeTaskManager(),
+            config_manager=_FakeConfigManager(),
+            db=_FakeDb(),
+        )
+    )
+    assert response.state == "denied"
+
+
+# [/DEF:test_limited_user_cannot_launch_restricted_operation:Function]
+# [/DEF:backend.src.api.routes.__tests__.test_assistant_authz:Module]

backend/src/api/routes/__tests__/test_dashboards.py

@@ -0,0 +1,357 @@
+# [DEF:backend.src.api.routes.__tests__.test_dashboards:Module]
+# @TIER: STANDARD
+# @PURPOSE: Unit tests for Dashboards API endpoints
+# @LAYER: API
+# @RELATION: TESTS -> backend.src.api.routes.dashboards
+
+import pytest
+from unittest.mock import MagicMock, patch, AsyncMock
+from fastapi.testclient import TestClient
+from src.app import app
+from src.api.routes.dashboards import DashboardsResponse
+
+client = TestClient(app)
+
+
+# [DEF:test_get_dashboards_success:Function]
+# @TEST: GET /api/dashboards returns 200 and valid schema
+# @PRE: env_id exists
+# @POST: Response matches DashboardsResponse schema
+def test_get_dashboards_success():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.get_resource_service") as mock_service, \
+         patch("src.api.routes.dashboards.get_task_manager") as mock_task_mgr, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        # Mock environment
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        
+        # Mock task manager
+        mock_task_mgr.return_value.get_all_tasks.return_value = []
+        
+        # Mock resource service response
+        async def mock_get_dashboards(env, tasks):
+            return [
+                {
+                    "id": 1,
+                    "title": "Sales Report",
+                    "slug": "sales",
+                    "git_status": {"branch": "main", "sync_status": "OK"},
+                    "last_task": {"task_id": "task-1", "status": "SUCCESS"}
+                }
+            ]
+        mock_service.return_value.get_dashboards_with_status = AsyncMock(
+            side_effect=mock_get_dashboards
+        )
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/dashboards?env_id=prod")
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "dashboards" in data
+        assert "total" in data
+        assert "page" in data
+
+
+# [/DEF:test_get_dashboards_success:Function]
+
+
+# [DEF:test_get_dashboards_with_search:Function]
+# @TEST: GET /api/dashboards filters by search term
+# @PRE: search parameter provided
+# @POST: Only matching dashboards returned
+def test_get_dashboards_with_search():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.get_resource_service") as mock_service, \
+         patch("src.api.routes.dashboards.get_task_manager") as mock_task_mgr, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        # Mock environment
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        
+        mock_task_mgr.return_value.get_all_tasks.return_value = []
+        
+        async def mock_get_dashboards(env, tasks):
+            return [
+                {"id": 1, "title": "Sales Report", "slug": "sales"},
+                {"id": 2, "title": "Marketing Dashboard", "slug": "marketing"}
+            ]
+        mock_service.return_value.get_dashboards_with_status = AsyncMock(
+            side_effect=mock_get_dashboards
+        )
+        
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/dashboards?env_id=prod&search=sales")
+        
+        assert response.status_code == 200
+        data = response.json()
+        # Filtered by search term
+
+
+# [/DEF:test_get_dashboards_with_search:Function]
+
+
+# [DEF:test_get_dashboards_env_not_found:Function]
+# @TEST: GET /api/dashboards returns 404 if env_id missing
+# @PRE: env_id does not exist
+# @POST: Returns 404 error
+def test_get_dashboards_env_not_found():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        mock_config.return_value.get_environments.return_value = []
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/dashboards?env_id=nonexistent")
+        
+        assert response.status_code == 404
+        assert "Environment not found" in response.json()["detail"]
+
+
+# [/DEF:test_get_dashboards_env_not_found:Function]
+
+
+# [DEF:test_get_dashboards_invalid_pagination:Function]
+# @TEST: GET /api/dashboards returns 400 for invalid page/page_size
+# @PRE: page < 1 or page_size > 100
+# @POST: Returns 400 error
+def test_get_dashboards_invalid_pagination():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        mock_perm.return_value = lambda: True
+
+        # Invalid page
+        response = client.get("/api/dashboards?env_id=prod&page=0")
+        assert response.status_code == 400
+        assert "Page must be >= 1" in response.json()["detail"]
+        
+        # Invalid page_size
+        response = client.get("/api/dashboards?env_id=prod&page_size=101")
+        assert response.status_code == 400
+        assert "Page size must be between 1 and 100" in response.json()["detail"]
+
+
+# [/DEF:test_get_dashboards_invalid_pagination:Function]
+
+
+# [DEF:test_get_dashboard_detail_success:Function]
+# @TEST: GET /api/dashboards/{id} returns dashboard detail with charts and datasets
+def test_get_dashboard_detail_success():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm, \
+         patch("src.api.routes.dashboards.SupersetClient") as mock_client_cls:
+
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        mock_perm.return_value = lambda: True
+
+        mock_client = MagicMock()
+        mock_client.get_dashboard_detail.return_value = {
+            "id": 42,
+            "title": "Revenue Dashboard",
+            "slug": "revenue-dashboard",
+            "url": "/superset/dashboard/42/",
+            "description": "Overview",
+            "last_modified": "2026-02-20T10:00:00+00:00",
+            "published": True,
+            "charts": [
+                {
+                    "id": 100,
+                    "title": "Revenue by Month",
+                    "viz_type": "line",
+                    "dataset_id": 7,
+                    "last_modified": "2026-02-19T10:00:00+00:00",
+                    "overview": "line"
+                }
+            ],
+            "datasets": [
+                {
+                    "id": 7,
+                    "table_name": "fact_revenue",
+                    "schema": "mart",
+                    "database": "Analytics",
+                    "last_modified": "2026-02-18T10:00:00+00:00",
+                    "overview": "mart.fact_revenue"
+                }
+            ],
+            "chart_count": 1,
+            "dataset_count": 1
+        }
+        mock_client_cls.return_value = mock_client
+
+        response = client.get("/api/dashboards/42?env_id=prod")
+
+        assert response.status_code == 200
+        payload = response.json()
+        assert payload["id"] == 42
+        assert payload["chart_count"] == 1
+        assert payload["dataset_count"] == 1
+# [/DEF:test_get_dashboard_detail_success:Function]
+
+
+# [DEF:test_get_dashboard_detail_env_not_found:Function]
+# @TEST: GET /api/dashboards/{id} returns 404 for missing environment
+def test_get_dashboard_detail_env_not_found():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        mock_config.return_value.get_environments.return_value = []
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/dashboards/42?env_id=missing")
+
+        assert response.status_code == 404
+        assert "Environment not found" in response.json()["detail"]
+# [/DEF:test_get_dashboard_detail_env_not_found:Function]
+
+
+# [DEF:test_migrate_dashboards_success:Function]
+# @TEST: POST /api/dashboards/migrate creates migration task
+# @PRE: Valid source_env_id, target_env_id, dashboard_ids
+# @POST: Returns task_id
+def test_migrate_dashboards_success():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.get_task_manager") as mock_task_mgr, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        # Mock environments
+        mock_source = MagicMock()
+        mock_source.id = "source"
+        mock_target = MagicMock()
+        mock_target.id = "target"
+        mock_config.return_value.get_environments.return_value = [mock_source, mock_target]
+        
+        # Mock task manager
+        mock_task = MagicMock()
+        mock_task.id = "task-migrate-123"
+        mock_task_mgr.return_value.create_task = AsyncMock(return_value=mock_task)
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.post(
+            "/api/dashboards/migrate",
+            json={
+                "source_env_id": "source",
+                "target_env_id": "target",
+                "dashboard_ids": [1, 2, 3],
+                "db_mappings": {"old_db": "new_db"}
+            }
+        )
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "task_id" in data
+
+
+# [/DEF:test_migrate_dashboards_success:Function]
+
+
+# [DEF:test_migrate_dashboards_no_ids:Function]
+# @TEST: POST /api/dashboards/migrate returns 400 for empty dashboard_ids
+# @PRE: dashboard_ids is empty
+# @POST: Returns 400 error
+def test_migrate_dashboards_no_ids():
+    with patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        mock_perm.return_value = lambda: True
+
+        response = client.post(
+            "/api/dashboards/migrate",
+            json={
+                "source_env_id": "source",
+                "target_env_id": "target",
+                "dashboard_ids": []
+            }
+        )
+        
+        assert response.status_code == 400
+        assert "At least one dashboard ID must be provided" in response.json()["detail"]
+
+
+# [/DEF:test_migrate_dashboards_no_ids:Function]
+
+
+# [DEF:test_backup_dashboards_success:Function]
+# @TEST: POST /api/dashboards/backup creates backup task
+# @PRE: Valid env_id, dashboard_ids
+# @POST: Returns task_id
+def test_backup_dashboards_success():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.get_task_manager") as mock_task_mgr, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        # Mock environment
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        
+        # Mock task manager
+        mock_task = MagicMock()
+        mock_task.id = "task-backup-456"
+        mock_task_mgr.return_value.create_task = AsyncMock(return_value=mock_task)
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.post(
+            "/api/dashboards/backup",
+            json={
+                "env_id": "prod",
+                "dashboard_ids": [1, 2, 3],
+                "schedule": "0 0 * * *"
+            }
+        )
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "task_id" in data
+
+
+# [/DEF:test_backup_dashboards_success:Function]
+
+
+# [DEF:test_get_database_mappings_success:Function]
+# @TEST: GET /api/dashboards/db-mappings returns mapping suggestions
+# @PRE: Valid source_env_id, target_env_id
+# @POST: Returns list of database mappings
+def test_get_database_mappings_success():
+    with patch("src.api.routes.dashboards.get_mapping_service") as mock_service, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        # Mock mapping service
+        mock_service.return_value.get_suggestions = AsyncMock(return_value=[
+            {
+                "source_db": "old_sales",
+                "target_db": "new_sales",
+                "source_db_uuid": "uuid-1",
+                "target_db_uuid": "uuid-2",
+                "confidence": 0.95
+            }
+        ])
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/dashboards/db-mappings?source_env_id=prod&target_env_id=staging")
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "mappings" in data
+
+
+# [/DEF:test_get_database_mappings_success:Function]
+
+
+# [/DEF:backend.src.api.routes.__tests__.test_dashboards:Module]

backend/src/api/routes/__tests__/test_datasets.py

@@ -0,0 +1,212 @@
+# [DEF:backend.src.api.routes.__tests__.test_datasets:Module]
+# @TIER: STANDARD
+# @SEMANTICS: datasets, api, tests, pagination, mapping, docs
+# @PURPOSE: Unit tests for Datasets API endpoints
+# @LAYER: API
+# @RELATION: TESTS -> backend.src.api.routes.datasets
+# @INVARIANT: Endpoint contracts remain stable for success and validation failure paths.
+
+import pytest
+from unittest.mock import MagicMock, patch, AsyncMock
+from fastapi.testclient import TestClient
+from src.app import app
+from src.api.routes.datasets import DatasetsResponse, DatasetDetailResponse
+
+client = TestClient(app)
+
+
+# [DEF:test_get_datasets_success:Function]
+# @PURPOSE: Validate successful datasets listing contract for an existing environment.
+# @TEST: GET /api/datasets returns 200 and valid schema
+# @PRE: env_id exists
+# @POST: Response matches DatasetsResponse schema
+def test_get_datasets_success():
+    with patch("src.api.routes.datasets.get_config_manager") as mock_config, \
+         patch("src.api.routes.datasets.get_resource_service") as mock_service, \
+         patch("src.api.routes.datasets.has_permission") as mock_perm:
+        
+        # Mock environment
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        
+        # Mock resource service response
+        mock_service.return_value.get_datasets_with_status.return_value = AsyncMock()(
+            return_value=[
+                {
+                    "id": 1,
+                    "table_name": "sales_data",
+                    "schema": "public",
+                    "database": "sales_db",
+                    "mapped_fields": {"total": 10, "mapped": 5},
+                    "last_task": {"task_id": "task-1", "status": "SUCCESS"}
+                }
+            ]
+        )
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/datasets?env_id=prod")
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "datasets" in data
+        assert len(data["datasets"]) >= 0
+        # Validate against Pydantic model
+        DatasetsResponse(**data)
+
+
+# [/DEF:test_get_datasets_success:Function]
+
+
+# [DEF:test_get_datasets_env_not_found:Function]
+# @TEST: GET /api/datasets returns 404 if env_id missing
+# @PRE: env_id does not exist
+# @POST: Returns 404 error
+def test_get_datasets_env_not_found():
+    with patch("src.api.routes.datasets.get_config_manager") as mock_config, \
+         patch("src.api.routes.datasets.has_permission") as mock_perm:
+        
+        mock_config.return_value.get_environments.return_value = []
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/datasets?env_id=nonexistent")
+        
+        assert response.status_code == 404
+        assert "Environment not found" in response.json()["detail"]
+
+
+# [/DEF:test_get_datasets_env_not_found:Function]
+
+
+# [DEF:test_get_datasets_invalid_pagination:Function]
+# @TEST: GET /api/datasets returns 400 for invalid page/page_size
+# @PRE: page < 1 or page_size > 100
+# @POST: Returns 400 error
+def test_get_datasets_invalid_pagination():
+    with patch("src.api.routes.datasets.get_config_manager") as mock_config, \
+         patch("src.api.routes.datasets.has_permission") as mock_perm:
+        
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        mock_perm.return_value = lambda: True
+
+        # Invalid page
+        response = client.get("/api/datasets?env_id=prod&page=0")
+        assert response.status_code == 400
+        assert "Page must be >= 1" in response.json()["detail"]
+        
+        # Invalid page_size
+        response = client.get("/api/datasets?env_id=prod&page_size=0")
+        assert response.status_code == 400
+        assert "Page size must be between 1 and 100" in response.json()["detail"]
+
+
+# [/DEF:test_get_datasets_invalid_pagination:Function]
+
+
+# [DEF:test_map_columns_success:Function]
+# @TEST: POST /api/datasets/map-columns creates mapping task
+# @PRE: Valid env_id, dataset_ids, source_type
+# @POST: Returns task_id
+def test_map_columns_success():
+    with patch("src.api.routes.datasets.get_config_manager") as mock_config, \
+         patch("src.api.routes.datasets.get_task_manager") as mock_task_mgr, \
+         patch("src.api.routes.datasets.has_permission") as mock_perm:
+        
+        # Mock environment
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        
+        # Mock task manager
+        mock_task = MagicMock()
+        mock_task.id = "task-123"
+        mock_task_mgr.return_value.create_task = AsyncMock(return_value=mock_task)
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.post(
+            "/api/datasets/map-columns",
+            json={
+                "env_id": "prod",
+                "dataset_ids": [1, 2, 3],
+                "source_type": "postgresql"
+            }
+        )
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "task_id" in data
+
+
+# [/DEF:test_map_columns_success:Function]
+
+
+# [DEF:test_map_columns_invalid_source_type:Function]
+# @TEST: POST /api/datasets/map-columns returns 400 for invalid source_type
+# @PRE: source_type is not 'postgresql' or 'xlsx'
+# @POST: Returns 400 error
+def test_map_columns_invalid_source_type():
+    with patch("src.api.routes.datasets.has_permission") as mock_perm:
+        mock_perm.return_value = lambda: True
+
+        response = client.post(
+            "/api/datasets/map-columns",
+            json={
+                "env_id": "prod",
+                "dataset_ids": [1],
+                "source_type": "invalid"
+            }
+        )
+        
+        assert response.status_code == 400
+        assert "Source type must be 'postgresql' or 'xlsx'" in response.json()["detail"]
+
+
+# [/DEF:test_map_columns_invalid_source_type:Function]
+
+
+# [DEF:test_generate_docs_success:Function]
+# @TEST: POST /api/datasets/generate-docs creates doc generation task
+# @PRE: Valid env_id, dataset_ids, llm_provider
+# @POST: Returns task_id
+def test_generate_docs_success():
+    with patch("src.api.routes.datasets.get_config_manager") as mock_config, \
+         patch("src.api.routes.datasets.get_task_manager") as mock_task_mgr, \
+         patch("src.api.routes.datasets.has_permission") as mock_perm:
+        
+        # Mock environment
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        
+        # Mock task manager
+        mock_task = MagicMock()
+        mock_task.id = "task-456"
+        mock_task_mgr.return_value.create_task = AsyncMock(return_value=mock_task)
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.post(
+            "/api/datasets/generate-docs",
+            json={
+                "env_id": "prod",
+                "dataset_ids": [1],
+                "llm_provider": "openai"
+            }
+        )
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "task_id" in data
+
+
+# [/DEF:test_generate_docs_success:Function]
+
+
+# [/DEF:backend.src.api.routes.__tests__.test_datasets:Module]

backend/src/api/routes/__tests__/test_reports_api.py

@@ -0,0 +1,139 @@
+# [DEF:backend.tests.test_reports_api:Module]
+# @TIER: CRITICAL
+# @SEMANTICS: tests, reports, api, contract, pagination, filtering
+# @PURPOSE: Contract tests for GET /api/reports defaults, pagination, and filtering behavior.
+# @LAYER: Domain (Tests)
+# @RELATION: TESTS -> backend.src.api.routes.reports
+# @INVARIANT: API response contract contains {items,total,page,page_size,has_next,applied_filters}.
+
+from datetime import datetime, timedelta, timezone
+from types import SimpleNamespace
+
+from fastapi.testclient import TestClient
+
+from src.app import app
+from src.core.task_manager.models import Task, TaskStatus
+from src.dependencies import get_current_user, get_task_manager
+
+
+class _FakeTaskManager:
+    def __init__(self, tasks):
+        self._tasks = tasks
+
+    def get_all_tasks(self):
+        return self._tasks
+
+
+def _admin_user():
+    admin_role = SimpleNamespace(name="Admin", permissions=[])
+    return SimpleNamespace(username="test-admin", roles=[admin_role])
+
+
+def _make_task(task_id: str, plugin_id: str, status: TaskStatus, started_at: datetime, finished_at: datetime = None, result=None):
+    return Task(
+        id=task_id,
+        plugin_id=plugin_id,
+        status=status,
+        started_at=started_at,
+        finished_at=finished_at,
+        params={"environment_id": "env-1"},
+        result=result or {"summary": f"{plugin_id} {status.value.lower()}"},
+    )
+
+
+def test_get_reports_default_pagination_contract():
+    now = datetime.utcnow()
+    tasks = [
+        _make_task("t-1", "superset-backup", TaskStatus.SUCCESS, now - timedelta(minutes=10), now - timedelta(minutes=9)),
+        _make_task("t-2", "superset-migration", TaskStatus.FAILED, now - timedelta(minutes=8), now - timedelta(minutes=7)),
+        _make_task("t-3", "llm_dashboard_validation", TaskStatus.RUNNING, now - timedelta(minutes=6), None),
+    ]
+
+    app.dependency_overrides[get_current_user] = lambda: _admin_user()
+    app.dependency_overrides[get_task_manager] = lambda: _FakeTaskManager(tasks)
+
+    try:
+        client = TestClient(app)
+        response = client.get("/api/reports")
+        assert response.status_code == 200
+
+        data = response.json()
+        assert set(["items", "total", "page", "page_size", "has_next", "applied_filters"]).issubset(data.keys())
+        assert data["page"] == 1
+        assert data["page_size"] == 20
+        assert data["total"] == 3
+        assert isinstance(data["items"], list)
+        assert data["applied_filters"]["sort_by"] == "updated_at"
+        assert data["applied_filters"]["sort_order"] == "desc"
+    finally:
+        app.dependency_overrides.clear()
+
+
+def test_get_reports_filter_and_pagination():
+    now = datetime.utcnow()
+    tasks = [
+        _make_task("t-1", "superset-backup", TaskStatus.SUCCESS, now - timedelta(minutes=30), now - timedelta(minutes=29)),
+        _make_task("t-2", "superset-backup", TaskStatus.FAILED, now - timedelta(minutes=20), now - timedelta(minutes=19)),
+        _make_task("t-3", "superset-migration", TaskStatus.FAILED, now - timedelta(minutes=10), now - timedelta(minutes=9)),
+    ]
+
+    app.dependency_overrides[get_current_user] = lambda: _admin_user()
+    app.dependency_overrides[get_task_manager] = lambda: _FakeTaskManager(tasks)
+
+    try:
+        client = TestClient(app)
+        response = client.get("/api/reports?task_types=backup&statuses=failed&page=1&page_size=1")
+        assert response.status_code == 200
+
+        data = response.json()
+        assert data["total"] == 1
+        assert data["page"] == 1
+        assert data["page_size"] == 1
+        assert data["has_next"] is False
+        assert len(data["items"]) == 1
+        assert data["items"][0]["task_type"] == "backup"
+        assert data["items"][0]["status"] == "failed"
+    finally:
+        app.dependency_overrides.clear()
+
+
+def test_get_reports_handles_mixed_naive_and_aware_datetimes():
+    naive_now = datetime.utcnow()
+    aware_now = datetime.now(timezone.utc)
+    tasks = [
+        _make_task("t-naive", "superset-backup", TaskStatus.SUCCESS, naive_now - timedelta(minutes=5), naive_now - timedelta(minutes=4)),
+        _make_task("t-aware", "superset-migration", TaskStatus.FAILED, aware_now - timedelta(minutes=3), aware_now - timedelta(minutes=2)),
+    ]
+
+    app.dependency_overrides[get_current_user] = lambda: _admin_user()
+    app.dependency_overrides[get_task_manager] = lambda: _FakeTaskManager(tasks)
+
+    try:
+        client = TestClient(app)
+        response = client.get("/api/reports?sort_by=updated_at&sort_order=desc")
+        assert response.status_code == 200
+        data = response.json()
+        assert data["total"] == 2
+        assert len(data["items"]) == 2
+    finally:
+        app.dependency_overrides.clear()
+
+
+def test_get_reports_invalid_filter_returns_400():
+    now = datetime.utcnow()
+    tasks = [_make_task("t-1", "superset-backup", TaskStatus.SUCCESS, now - timedelta(minutes=5), now - timedelta(minutes=4))]
+
+    app.dependency_overrides[get_current_user] = lambda: _admin_user()
+    app.dependency_overrides[get_task_manager] = lambda: _FakeTaskManager(tasks)
+
+    try:
+        client = TestClient(app)
+        response = client.get("/api/reports?task_types=bad_type")
+        assert response.status_code == 400
+        body = response.json()
+        assert "detail" in body
+    finally:
+        app.dependency_overrides.clear()
+
+
+# [/DEF:backend.tests.test_reports_api:Module]

backend/src/api/routes/__tests__/test_reports_detail_api.py

@@ -0,0 +1,84 @@
+# [DEF:backend.tests.test_reports_detail_api:Module]
+# @TIER: CRITICAL
+# @SEMANTICS: tests, reports, api, detail, diagnostics
+# @PURPOSE: Contract tests for GET /api/reports/{report_id} detail endpoint behavior.
+# @LAYER: Domain (Tests)
+# @RELATION: TESTS -> backend.src.api.routes.reports
+# @INVARIANT: Detail endpoint tests must keep deterministic assertions for success and not-found contracts.
+
+from datetime import datetime, timedelta
+from types import SimpleNamespace
+
+from fastapi.testclient import TestClient
+
+from src.app import app
+from src.core.task_manager.models import Task, TaskStatus
+from src.dependencies import get_current_user, get_task_manager
+
+
+class _FakeTaskManager:
+    def __init__(self, tasks):
+        self._tasks = tasks
+
+    def get_all_tasks(self):
+        return self._tasks
+
+
+def _admin_user():
+    role = SimpleNamespace(name="Admin", permissions=[])
+    return SimpleNamespace(username="test-admin", roles=[role])
+
+
+def _make_task(task_id: str, plugin_id: str, status: TaskStatus, result=None):
+    now = datetime.utcnow()
+    return Task(
+        id=task_id,
+        plugin_id=plugin_id,
+        status=status,
+        started_at=now - timedelta(minutes=2),
+        finished_at=now - timedelta(minutes=1) if status != TaskStatus.RUNNING else None,
+        params={"environment_id": "env-1"},
+        result=result or {"summary": f"{plugin_id} result"},
+    )
+
+
+def test_get_report_detail_success():
+    task = _make_task(
+        "detail-1",
+        "superset-migration",
+        TaskStatus.FAILED,
+        result={"error": {"message": "Step failed", "next_actions": ["Check mapping", "Retry"]}},
+    )
+
+    app.dependency_overrides[get_current_user] = lambda: _admin_user()
+    app.dependency_overrides[get_task_manager] = lambda: _FakeTaskManager([task])
+
+    try:
+        client = TestClient(app)
+        response = client.get("/api/reports/detail-1")
+        assert response.status_code == 200
+
+        data = response.json()
+        assert "report" in data
+        assert data["report"]["report_id"] == "detail-1"
+        assert "diagnostics" in data
+        assert "next_actions" in data
+    finally:
+        app.dependency_overrides.clear()
+
+
+def test_get_report_detail_not_found():
+    task = _make_task("detail-2", "superset-backup", TaskStatus.SUCCESS)
+
+    app.dependency_overrides[get_current_user] = lambda: _admin_user()
+    app.dependency_overrides[get_task_manager] = lambda: _FakeTaskManager([task])
+
+    try:
+        client = TestClient(app)
+        response = client.get("/api/reports/unknown-id")
+        assert response.status_code == 404
+    finally:
+        app.dependency_overrides.clear()
+
+
+# [/DEF:backend.tests.test_reports_detail_api:Module]

backend/src/api/routes/__tests__/test_reports_openapi_conformance.py

@@ -0,0 +1,81 @@
+# [DEF:backend.tests.test_reports_openapi_conformance:Module]
+# @TIER: CRITICAL
+# @SEMANTICS: tests, reports, openapi, conformance
+# @PURPOSE: Validate implemented reports payload shape against OpenAPI-required top-level contract fields.
+# @LAYER: Domain (Tests)
+# @RELATION: TESTS -> specs/020-task-reports-design/contracts/reports-api.openapi.yaml
+# @INVARIANT: List and detail payloads include required contract keys.
+
+from datetime import datetime
+from types import SimpleNamespace
+
+from fastapi.testclient import TestClient
+
+from src.app import app
+from src.core.task_manager.models import Task, TaskStatus
+from src.dependencies import get_current_user, get_task_manager
+
+
+class _FakeTaskManager:
+    def __init__(self, tasks):
+        self._tasks = tasks
+
+    def get_all_tasks(self):
+        return self._tasks
+
+
+def _admin_user():
+    role = SimpleNamespace(name="Admin", permissions=[])
+    return SimpleNamespace(username="test-admin", roles=[role])
+
+
+def _task(task_id: str, plugin_id: str, status: TaskStatus):
+    now = datetime.utcnow()
+    return Task(
+        id=task_id,
+        plugin_id=plugin_id,
+        status=status,
+        started_at=now,
+        finished_at=now if status != TaskStatus.RUNNING else None,
+        params={"environment_id": "env-1"},
+        result={"summary": f"{plugin_id} {status.value.lower()}"},
+    )
+
+
+def test_reports_list_openapi_required_keys():
+    tasks = [
+        _task("r-1", "superset-backup", TaskStatus.SUCCESS),
+        _task("r-2", "superset-migration", TaskStatus.FAILED),
+    ]
+    app.dependency_overrides[get_current_user] = lambda: _admin_user()
+    app.dependency_overrides[get_task_manager] = lambda: _FakeTaskManager(tasks)
+
+    try:
+        client = TestClient(app)
+        response = client.get("/api/reports")
+        assert response.status_code == 200
+
+        body = response.json()
+        required = {"items", "total", "page", "page_size", "has_next", "applied_filters"}
+        assert required.issubset(body.keys())
+    finally:
+        app.dependency_overrides.clear()
+
+
+def test_reports_detail_openapi_required_keys():
+    tasks = [_task("r-3", "llm_dashboard_validation", TaskStatus.SUCCESS)]
+    app.dependency_overrides[get_current_user] = lambda: _admin_user()
+    app.dependency_overrides[get_task_manager] = lambda: _FakeTaskManager(tasks)
+
+    try:
+        client = TestClient(app)
+        response = client.get("/api/reports/r-3")
+        assert response.status_code == 200
+
+        body = response.json()
+        assert "report" in body
+    finally:
+        app.dependency_overrides.clear()
+
+
+# [/DEF:backend.tests.test_reports_openapi_conformance:Module]

backend/src/api/routes/admin.py

@@ -21,8 +21,8 @@ from ...schemas.auth import (
     RoleSchema, RoleCreate, RoleUpdate, PermissionSchema,
     ADGroupMappingSchema, ADGroupMappingCreate
 )
-from ...models.auth import User, Role, Permission, ADGroupMapping
-from ...dependencies import has_permission, get_current_user
+from ...models.auth import User, Role, ADGroupMapping
+from ...dependencies import has_permission
 from ...core.logger import logger, belief_scope
 # [/SECTION]
 

backend/src/api/routes/connections.py

@@ -11,7 +11,7 @@ from fastapi import APIRouter, Depends, HTTPException, status
 from sqlalchemy.orm import Session
 from ...core.database import get_db
 from ...models.connection import ConnectionConfig
-from pydantic import BaseModel, Field
+from pydantic import BaseModel
 from datetime import datetime
 from ...core.logger import logger, belief_scope
 # [/SECTION]

backend/src/api/routes/dashboards.py

@@ -0,0 +1,396 @@
+# [DEF:backend.src.api.routes.dashboards:Module]
+#
+# @TIER: STANDARD
+# @SEMANTICS: api, dashboards, resources, hub
+# @PURPOSE:   API endpoints for the Dashboard Hub - listing dashboards with Git and task status
+# @LAYER:     API
+# @RELATION:  DEPENDS_ON -> backend.src.dependencies
+# @RELATION:  DEPENDS_ON -> backend.src.services.resource_service
+# @RELATION:  DEPENDS_ON -> backend.src.core.superset_client
+#
+# @INVARIANT: All dashboard responses include git_status and last_task metadata
+
+# [SECTION: IMPORTS]
+from fastapi import APIRouter, Depends, HTTPException
+from typing import List, Optional, Dict
+from pydantic import BaseModel, Field
+from ...dependencies import get_config_manager, get_task_manager, get_resource_service, get_mapping_service, has_permission
+from ...core.logger import logger, belief_scope
+from ...core.superset_client import SupersetClient
+# [/SECTION]
+
+router = APIRouter(prefix="/api/dashboards", tags=["Dashboards"])
+
+# [DEF:GitStatus:DataClass]
+class GitStatus(BaseModel):
+    branch: Optional[str] = None
+    sync_status: Optional[str] = Field(None, pattern="^OK|DIFF$")
+# [/DEF:GitStatus:DataClass]
+
+# [DEF:LastTask:DataClass]
+class LastTask(BaseModel):
+    task_id: Optional[str] = None
+    status: Optional[str] = Field(None, pattern="^RUNNING|SUCCESS|ERROR|WAITING_INPUT$")
+# [/DEF:LastTask:DataClass]
+
+# [DEF:DashboardItem:DataClass]
+class DashboardItem(BaseModel):
+    id: int
+    title: str
+    slug: Optional[str] = None
+    url: Optional[str] = None
+    last_modified: Optional[str] = None
+    git_status: Optional[GitStatus] = None
+    last_task: Optional[LastTask] = None
+# [/DEF:DashboardItem:DataClass]
+
+# [DEF:DashboardsResponse:DataClass]
+class DashboardsResponse(BaseModel):
+    dashboards: List[DashboardItem]
+    total: int
+    page: int
+    page_size: int
+    total_pages: int
+# [/DEF:DashboardsResponse:DataClass]
+
+# [DEF:DashboardChartItem:DataClass]
+class DashboardChartItem(BaseModel):
+    id: int
+    title: str
+    viz_type: Optional[str] = None
+    dataset_id: Optional[int] = None
+    last_modified: Optional[str] = None
+    overview: Optional[str] = None
+# [/DEF:DashboardChartItem:DataClass]
+
+# [DEF:DashboardDatasetItem:DataClass]
+class DashboardDatasetItem(BaseModel):
+    id: int
+    table_name: str
+    schema: Optional[str] = None
+    database: str
+    last_modified: Optional[str] = None
+    overview: Optional[str] = None
+# [/DEF:DashboardDatasetItem:DataClass]
+
+# [DEF:DashboardDetailResponse:DataClass]
+class DashboardDetailResponse(BaseModel):
+    id: int
+    title: str
+    slug: Optional[str] = None
+    url: Optional[str] = None
+    description: Optional[str] = None
+    last_modified: Optional[str] = None
+    published: Optional[bool] = None
+    charts: List[DashboardChartItem]
+    datasets: List[DashboardDatasetItem]
+    chart_count: int
+    dataset_count: int
+# [/DEF:DashboardDetailResponse:DataClass]
+
+# [DEF:get_dashboards:Function]
+# @PURPOSE: Fetch list of dashboards from a specific environment with Git status and last task status
+# @PRE: env_id must be a valid environment ID
+# @PRE: page must be >= 1 if provided
+# @PRE: page_size must be between 1 and 100 if provided
+# @POST: Returns a list of dashboards with enhanced metadata and pagination info
+# @POST: Response includes pagination metadata (page, page_size, total, total_pages)
+# @PARAM: env_id (str) - The environment ID to fetch dashboards from
+# @PARAM: search (Optional[str]) - Filter by title/slug
+# @PARAM: page (Optional[int]) - Page number (default: 1)
+# @PARAM: page_size (Optional[int]) - Items per page (default: 10, max: 100)
+# @RETURN: DashboardsResponse - List of dashboards with status metadata
+# @RELATION: CALLS -> ResourceService.get_dashboards_with_status
+@router.get("", response_model=DashboardsResponse)
+async def get_dashboards(
+    env_id: str,
+    search: Optional[str] = None,
+    page: int = 1,
+    page_size: int = 10,
+    config_manager=Depends(get_config_manager),
+    task_manager=Depends(get_task_manager),
+    resource_service=Depends(get_resource_service),
+    _ = Depends(has_permission("plugin:migration", "READ"))
+):
+    with belief_scope("get_dashboards", f"env_id={env_id}, search={search}, page={page}, page_size={page_size}"):
+        # Validate pagination parameters
+        if page < 1:
+            logger.error(f"[get_dashboards][Coherence:Failed] Invalid page: {page}")
+            raise HTTPException(status_code=400, detail="Page must be >= 1")
+        if page_size < 1 or page_size > 100:
+            logger.error(f"[get_dashboards][Coherence:Failed] Invalid page_size: {page_size}")
+            raise HTTPException(status_code=400, detail="Page size must be between 1 and 100")
+        
+        # Validate environment exists
+        environments = config_manager.get_environments()
+        env = next((e for e in environments if e.id == env_id), None)
+        if not env:
+            logger.error(f"[get_dashboards][Coherence:Failed] Environment not found: {env_id}")
+            raise HTTPException(status_code=404, detail="Environment not found")
+        
+        try:
+            # Get all tasks for status lookup
+            all_tasks = task_manager.get_all_tasks()
+            
+            # Fetch dashboards with status using ResourceService
+            dashboards = await resource_service.get_dashboards_with_status(env, all_tasks)
+            
+            # Apply search filter if provided
+            if search:
+                search_lower = search.lower()
+                dashboards = [
+                    d for d in dashboards 
+                    if search_lower in d.get('title', '').lower() 
+                    or search_lower in d.get('slug', '').lower()
+                ]
+            
+            # Calculate pagination
+            total = len(dashboards)
+            total_pages = (total + page_size - 1) // page_size if total > 0 else 1
+            start_idx = (page - 1) * page_size
+            end_idx = start_idx + page_size
+            
+            # Slice dashboards for current page
+            paginated_dashboards = dashboards[start_idx:end_idx]
+            
+            logger.info(f"[get_dashboards][Coherence:OK] Returning {len(paginated_dashboards)} dashboards (page {page}/{total_pages}, total: {total})")
+            
+            return DashboardsResponse(
+                dashboards=paginated_dashboards,
+                total=total,
+                page=page,
+                page_size=page_size,
+                total_pages=total_pages
+            )
+            
+        except Exception as e:
+            logger.error(f"[get_dashboards][Coherence:Failed] Failed to fetch dashboards: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to fetch dashboards: {str(e)}")
+# [/DEF:get_dashboards:Function]
+
+# [DEF:get_dashboard_detail:Function]
+# @PURPOSE: Fetch detailed dashboard info with related charts and datasets
+# @PRE: env_id must be valid and dashboard_id must exist
+# @POST: Returns dashboard detail payload for overview page
+# @RELATION: CALLS -> SupersetClient.get_dashboard_detail
+@router.get("/{dashboard_id}", response_model=DashboardDetailResponse)
+async def get_dashboard_detail(
+    dashboard_id: int,
+    env_id: str,
+    config_manager=Depends(get_config_manager),
+    _ = Depends(has_permission("plugin:migration", "READ"))
+):
+    with belief_scope("get_dashboard_detail", f"dashboard_id={dashboard_id}, env_id={env_id}"):
+        environments = config_manager.get_environments()
+        env = next((e for e in environments if e.id == env_id), None)
+        if not env:
+            logger.error(f"[get_dashboard_detail][Coherence:Failed] Environment not found: {env_id}")
+            raise HTTPException(status_code=404, detail="Environment not found")
+
+        try:
+            client = SupersetClient(env)
+            detail = client.get_dashboard_detail(dashboard_id)
+            logger.info(
+                f"[get_dashboard_detail][Coherence:OK] Dashboard {dashboard_id}: {detail.get('chart_count', 0)} charts, {detail.get('dataset_count', 0)} datasets"
+            )
+            return DashboardDetailResponse(**detail)
+        except HTTPException:
+            raise
+        except Exception as e:
+            logger.error(f"[get_dashboard_detail][Coherence:Failed] Failed to fetch dashboard detail: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to fetch dashboard detail: {str(e)}")
+# [/DEF:get_dashboard_detail:Function]
+
+# [DEF:MigrateRequest:DataClass]
+class MigrateRequest(BaseModel):
+    source_env_id: str = Field(..., description="Source environment ID")
+    target_env_id: str = Field(..., description="Target environment ID")
+    dashboard_ids: List[int] = Field(..., description="List of dashboard IDs to migrate")
+    db_mappings: Optional[Dict[str, str]] = Field(None, description="Database mappings for migration")
+    replace_db_config: bool = Field(False, description="Replace database configuration")
+# [/DEF:MigrateRequest:DataClass]
+
+# [DEF:TaskResponse:DataClass]
+class TaskResponse(BaseModel):
+    task_id: str
+# [/DEF:TaskResponse:DataClass]
+
+# [DEF:migrate_dashboards:Function]
+# @PURPOSE: Trigger bulk migration of dashboards from source to target environment
+# @PRE: User has permission plugin:migration:execute
+# @PRE: source_env_id and target_env_id are valid environment IDs
+# @PRE: dashboard_ids is a non-empty list
+# @POST: Returns task_id for tracking migration progress
+# @POST: Task is created and queued for execution
+# @PARAM: request (MigrateRequest) - Migration request with source, target, and dashboard IDs
+# @RETURN: TaskResponse - Task ID for tracking
+# @RELATION: DISPATCHES -> MigrationPlugin
+# @RELATION: CALLS -> task_manager.create_task
+@router.post("/migrate", response_model=TaskResponse)
+async def migrate_dashboards(
+    request: MigrateRequest,
+    config_manager=Depends(get_config_manager),
+    task_manager=Depends(get_task_manager),
+    _ = Depends(has_permission("plugin:migration", "EXECUTE"))
+):
+    with belief_scope("migrate_dashboards", f"source={request.source_env_id}, target={request.target_env_id}, count={len(request.dashboard_ids)}"):
+        # Validate request
+        if not request.dashboard_ids:
+            logger.error("[migrate_dashboards][Coherence:Failed] No dashboard IDs provided")
+            raise HTTPException(status_code=400, detail="At least one dashboard ID must be provided")
+        
+        # Validate environments exist
+        environments = config_manager.get_environments()
+        source_env = next((e for e in environments if e.id == request.source_env_id), None)
+        target_env = next((e for e in environments if e.id == request.target_env_id), None)
+        
+        if not source_env:
+            logger.error(f"[migrate_dashboards][Coherence:Failed] Source environment not found: {request.source_env_id}")
+            raise HTTPException(status_code=404, detail="Source environment not found")
+        if not target_env:
+            logger.error(f"[migrate_dashboards][Coherence:Failed] Target environment not found: {request.target_env_id}")
+            raise HTTPException(status_code=404, detail="Target environment not found")
+        
+        try:
+            # Create migration task
+            task_params = {
+                'source_env_id': request.source_env_id,
+                'target_env_id': request.target_env_id,
+                'selected_ids': request.dashboard_ids,
+                'replace_db_config': request.replace_db_config,
+                'db_mappings': request.db_mappings or {}
+            }
+            
+            task_obj = await task_manager.create_task(
+                plugin_id='superset-migration',
+                params=task_params
+            )
+            
+            logger.info(f"[migrate_dashboards][Coherence:OK] Migration task created: {task_obj.id} for {len(request.dashboard_ids)} dashboards")
+            
+            return TaskResponse(task_id=str(task_obj.id))
+            
+        except Exception as e:
+            logger.error(f"[migrate_dashboards][Coherence:Failed] Failed to create migration task: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to create migration task: {str(e)}")
+# [/DEF:migrate_dashboards:Function]
+
+# [DEF:BackupRequest:DataClass]
+class BackupRequest(BaseModel):
+    env_id: str = Field(..., description="Environment ID")
+    dashboard_ids: List[int] = Field(..., description="List of dashboard IDs to backup")
+    schedule: Optional[str] = Field(None, description="Cron schedule for recurring backups (e.g., '0 0 * * *')")
+# [/DEF:BackupRequest:DataClass]
+
+# [DEF:backup_dashboards:Function]
+# @PURPOSE: Trigger bulk backup of dashboards with optional cron schedule
+# @PRE: User has permission plugin:backup:execute
+# @PRE: env_id is a valid environment ID
+# @PRE: dashboard_ids is a non-empty list
+# @POST: Returns task_id for tracking backup progress
+# @POST: Task is created and queued for execution
+# @POST: If schedule is provided, a scheduled task is created
+# @PARAM: request (BackupRequest) - Backup request with environment and dashboard IDs
+# @RETURN: TaskResponse - Task ID for tracking
+# @RELATION: DISPATCHES -> BackupPlugin
+# @RELATION: CALLS -> task_manager.create_task
+@router.post("/backup", response_model=TaskResponse)
+async def backup_dashboards(
+    request: BackupRequest,
+    config_manager=Depends(get_config_manager),
+    task_manager=Depends(get_task_manager),
+    _ = Depends(has_permission("plugin:backup", "EXECUTE"))
+):
+    with belief_scope("backup_dashboards", f"env={request.env_id}, count={len(request.dashboard_ids)}, schedule={request.schedule}"):
+        # Validate request
+        if not request.dashboard_ids:
+            logger.error("[backup_dashboards][Coherence:Failed] No dashboard IDs provided")
+            raise HTTPException(status_code=400, detail="At least one dashboard ID must be provided")
+        
+        # Validate environment exists
+        environments = config_manager.get_environments()
+        env = next((e for e in environments if e.id == request.env_id), None)
+        
+        if not env:
+            logger.error(f"[backup_dashboards][Coherence:Failed] Environment not found: {request.env_id}")
+            raise HTTPException(status_code=404, detail="Environment not found")
+        
+        try:
+            # Create backup task
+            task_params = {
+                'env': request.env_id,
+                'dashboards': request.dashboard_ids,
+                'schedule': request.schedule
+            }
+            
+            task_obj = await task_manager.create_task(
+                plugin_id='superset-backup',
+                params=task_params
+            )
+            
+            logger.info(f"[backup_dashboards][Coherence:OK] Backup task created: {task_obj.id} for {len(request.dashboard_ids)} dashboards")
+            
+            return TaskResponse(task_id=str(task_obj.id))
+            
+        except Exception as e:
+            logger.error(f"[backup_dashboards][Coherence:Failed] Failed to create backup task: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to create backup task: {str(e)}")
+# [/DEF:backup_dashboards:Function]
+
+# [DEF:DatabaseMapping:DataClass]
+class DatabaseMapping(BaseModel):
+    source_db: str
+    target_db: str
+    source_db_uuid: Optional[str] = None
+    target_db_uuid: Optional[str] = None
+    confidence: float
+# [/DEF:DatabaseMapping:DataClass]
+
+# [DEF:DatabaseMappingsResponse:DataClass]
+class DatabaseMappingsResponse(BaseModel):
+    mappings: List[DatabaseMapping]
+# [/DEF:DatabaseMappingsResponse:DataClass]
+
+# [DEF:get_database_mappings:Function]
+# @PURPOSE: Get database mapping suggestions between source and target environments
+# @PRE: User has permission plugin:migration:read
+# @PRE: source_env_id and target_env_id are valid environment IDs
+# @POST: Returns list of suggested database mappings with confidence scores
+# @PARAM: source_env_id (str) - Source environment ID
+# @PARAM: target_env_id (str) - Target environment ID
+# @RETURN: DatabaseMappingsResponse - List of suggested mappings
+# @RELATION: CALLS -> MappingService.get_suggestions
+@router.get("/db-mappings", response_model=DatabaseMappingsResponse)
+async def get_database_mappings(
+    source_env_id: str,
+    target_env_id: str,
+    mapping_service=Depends(get_mapping_service),
+    _ = Depends(has_permission("plugin:migration", "READ"))
+):
+    with belief_scope("get_database_mappings", f"source={source_env_id}, target={target_env_id}"):
+        try:
+            # Get mapping suggestions using MappingService
+            suggestions = await mapping_service.get_suggestions(source_env_id, target_env_id)
+            
+            # Format suggestions as DatabaseMapping objects
+            mappings = [
+                DatabaseMapping(
+                    source_db=s.get('source_db', ''),
+                    target_db=s.get('target_db', ''),
+                    source_db_uuid=s.get('source_db_uuid'),
+                    target_db_uuid=s.get('target_db_uuid'),
+                    confidence=s.get('confidence', 0.0)
+                )
+                for s in suggestions
+            ]
+            
+            logger.info(f"[get_database_mappings][Coherence:OK] Returning {len(mappings)} database mapping suggestions")
+            
+            return DatabaseMappingsResponse(mappings=mappings)
+            
+        except Exception as e:
+            logger.error(f"[get_database_mappings][Coherence:Failed] Failed to get database mappings: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to get database mappings: {str(e)}")
+# [/DEF:get_database_mappings:Function]
+
+# [/DEF:backend.src.api.routes.dashboards:Module]

backend/src/api/routes/datasets.py

@@ -0,0 +1,395 @@
+# [DEF:backend.src.api.routes.datasets:Module]
+#
+# @TIER: STANDARD
+# @SEMANTICS: api, datasets, resources, hub
+# @PURPOSE:   API endpoints for the Dataset Hub - listing datasets with mapping progress
+# @LAYER:     API
+# @RELATION:  DEPENDS_ON -> backend.src.dependencies
+# @RELATION:  DEPENDS_ON -> backend.src.services.resource_service
+# @RELATION:  DEPENDS_ON -> backend.src.core.superset_client
+#
+# @INVARIANT: All dataset responses include last_task metadata
+
+# [SECTION: IMPORTS]
+from fastapi import APIRouter, Depends, HTTPException
+from typing import List, Optional
+from pydantic import BaseModel, Field
+from ...dependencies import get_config_manager, get_task_manager, get_resource_service, has_permission
+from ...core.logger import logger, belief_scope
+from ...core.superset_client import SupersetClient
+# [/SECTION]
+
+router = APIRouter(prefix="/api/datasets", tags=["Datasets"])
+
+# [DEF:MappedFields:DataClass]
+class MappedFields(BaseModel):
+    total: int
+    mapped: int
+# [/DEF:MappedFields:DataClass]
+
+# [DEF:LastTask:DataClass]
+class LastTask(BaseModel):
+    task_id: Optional[str] = None
+    status: Optional[str] = Field(None, pattern="^RUNNING|SUCCESS|ERROR|WAITING_INPUT$")
+# [/DEF:LastTask:DataClass]
+
+# [DEF:DatasetItem:DataClass]
+class DatasetItem(BaseModel):
+    id: int
+    table_name: str
+    schema: str
+    database: str
+    mapped_fields: Optional[MappedFields] = None
+    last_task: Optional[LastTask] = None
+# [/DEF:DatasetItem:DataClass]
+
+# [DEF:LinkedDashboard:DataClass]
+class LinkedDashboard(BaseModel):
+    id: int
+    title: str
+    slug: Optional[str] = None
+# [/DEF:LinkedDashboard:DataClass]
+
+# [DEF:DatasetColumn:DataClass]
+class DatasetColumn(BaseModel):
+    id: int
+    name: str
+    type: Optional[str] = None
+    is_dttm: bool = False
+    is_active: bool = True
+    description: Optional[str] = None
+# [/DEF:DatasetColumn:DataClass]
+
+# [DEF:DatasetDetailResponse:DataClass]
+class DatasetDetailResponse(BaseModel):
+    id: int
+    table_name: Optional[str] = None
+    schema: Optional[str] = None
+    database: str
+    description: Optional[str] = None
+    columns: List[DatasetColumn]
+    column_count: int
+    sql: Optional[str] = None
+    linked_dashboards: List[LinkedDashboard]
+    linked_dashboard_count: int
+    is_sqllab_view: bool = False
+    created_on: Optional[str] = None
+    changed_on: Optional[str] = None
+# [/DEF:DatasetDetailResponse:DataClass]
+
+# [DEF:DatasetsResponse:DataClass]
+class DatasetsResponse(BaseModel):
+    datasets: List[DatasetItem]
+    total: int
+    page: int
+    page_size: int
+    total_pages: int
+# [/DEF:DatasetsResponse:DataClass]
+
+# [DEF:TaskResponse:DataClass]
+class TaskResponse(BaseModel):
+    task_id: str
+# [/DEF:TaskResponse:DataClass]
+
+# [DEF:get_dataset_ids:Function]
+# @PURPOSE: Fetch list of all dataset IDs from a specific environment (without pagination)
+# @PRE: env_id must be a valid environment ID
+# @POST: Returns a list of all dataset IDs
+# @PARAM: env_id (str) - The environment ID to fetch datasets from
+# @PARAM: search (Optional[str]) - Filter by table name
+# @RETURN: List[int] - List of dataset IDs
+# @RELATION: CALLS -> ResourceService.get_datasets_with_status
+@router.get("/ids")
+async def get_dataset_ids(
+    env_id: str,
+    search: Optional[str] = None,
+    config_manager=Depends(get_config_manager),
+    task_manager=Depends(get_task_manager),
+    resource_service=Depends(get_resource_service),
+    _ = Depends(has_permission("plugin:migration", "READ"))
+):
+    with belief_scope("get_dataset_ids", f"env_id={env_id}, search={search}"):
+        # Validate environment exists
+        environments = config_manager.get_environments()
+        env = next((e for e in environments if e.id == env_id), None)
+        if not env:
+            logger.error(f"[get_dataset_ids][Coherence:Failed] Environment not found: {env_id}")
+            raise HTTPException(status_code=404, detail="Environment not found")
+        
+        try:
+            # Get all tasks for status lookup
+            all_tasks = task_manager.get_all_tasks()
+            
+            # Fetch datasets with status using ResourceService
+            datasets = await resource_service.get_datasets_with_status(env, all_tasks)
+            
+            # Apply search filter if provided
+            if search:
+                search_lower = search.lower()
+                datasets = [
+                    d for d in datasets 
+                    if search_lower in d.get('table_name', '').lower()
+                ]
+            
+            # Extract and return just the IDs
+            dataset_ids = [d['id'] for d in datasets]
+            logger.info(f"[get_dataset_ids][Coherence:OK] Returning {len(dataset_ids)} dataset IDs")
+            
+            return {"dataset_ids": dataset_ids}
+            
+        except Exception as e:
+            logger.error(f"[get_dataset_ids][Coherence:Failed] Failed to fetch dataset IDs: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to fetch dataset IDs: {str(e)}")
+# [/DEF:get_dataset_ids:Function]
+
+# [DEF:get_datasets:Function]
+# @PURPOSE: Fetch list of datasets from a specific environment with mapping progress
+# @PRE: env_id must be a valid environment ID
+# @PRE: page must be >= 1 if provided
+# @PRE: page_size must be between 1 and 100 if provided
+# @POST: Returns a list of datasets with enhanced metadata and pagination info
+# @POST: Response includes pagination metadata (page, page_size, total, total_pages)
+# @PARAM: env_id (str) - The environment ID to fetch datasets from
+# @PARAM: search (Optional[str]) - Filter by table name
+# @PARAM: page (Optional[int]) - Page number (default: 1)
+# @PARAM: page_size (Optional[int]) - Items per page (default: 10, max: 100)
+# @RETURN: DatasetsResponse - List of datasets with status metadata
+# @RELATION: CALLS -> ResourceService.get_datasets_with_status
+@router.get("", response_model=DatasetsResponse)
+async def get_datasets(
+    env_id: str,
+    search: Optional[str] = None,
+    page: int = 1,
+    page_size: int = 10,
+    config_manager=Depends(get_config_manager),
+    task_manager=Depends(get_task_manager),
+    resource_service=Depends(get_resource_service),
+    _ = Depends(has_permission("plugin:migration", "READ"))
+):
+    with belief_scope("get_datasets", f"env_id={env_id}, search={search}, page={page}, page_size={page_size}"):
+        # Validate pagination parameters
+        if page < 1:
+            logger.error(f"[get_datasets][Coherence:Failed] Invalid page: {page}")
+            raise HTTPException(status_code=400, detail="Page must be >= 1")
+        if page_size < 1 or page_size > 100:
+            logger.error(f"[get_datasets][Coherence:Failed] Invalid page_size: {page_size}")
+            raise HTTPException(status_code=400, detail="Page size must be between 1 and 100")
+        
+        # Validate environment exists
+        environments = config_manager.get_environments()
+        env = next((e for e in environments if e.id == env_id), None)
+        if not env:
+            logger.error(f"[get_datasets][Coherence:Failed] Environment not found: {env_id}")
+            raise HTTPException(status_code=404, detail="Environment not found")
+        
+        try:
+            # Get all tasks for status lookup
+            all_tasks = task_manager.get_all_tasks()
+            
+            # Fetch datasets with status using ResourceService
+            datasets = await resource_service.get_datasets_with_status(env, all_tasks)
+            
+            # Apply search filter if provided
+            if search:
+                search_lower = search.lower()
+                datasets = [
+                    d for d in datasets 
+                    if search_lower in d.get('table_name', '').lower()
+                ]
+            
+            # Calculate pagination
+            total = len(datasets)
+            total_pages = (total + page_size - 1) // page_size if total > 0 else 1
+            start_idx = (page - 1) * page_size
+            end_idx = start_idx + page_size
+            
+            # Slice datasets for current page
+            paginated_datasets = datasets[start_idx:end_idx]
+            
+            logger.info(f"[get_datasets][Coherence:OK] Returning {len(paginated_datasets)} datasets (page {page}/{total_pages}, total: {total})")
+            
+            return DatasetsResponse(
+                datasets=paginated_datasets,
+                total=total,
+                page=page,
+                page_size=page_size,
+                total_pages=total_pages
+            )
+            
+        except Exception as e:
+            logger.error(f"[get_datasets][Coherence:Failed] Failed to fetch datasets: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to fetch datasets: {str(e)}")
+# [/DEF:get_datasets:Function]
+
+# [DEF:MapColumnsRequest:DataClass]
+class MapColumnsRequest(BaseModel):
+    env_id: str = Field(..., description="Environment ID")
+    dataset_ids: List[int] = Field(..., description="List of dataset IDs to map")
+    source_type: str = Field(..., description="Source type: 'postgresql' or 'xlsx'")
+    connection_id: Optional[str] = Field(None, description="Connection ID for PostgreSQL source")
+    file_data: Optional[str] = Field(None, description="File path or data for XLSX source")
+# [/DEF:MapColumnsRequest:DataClass]
+
+# [DEF:map_columns:Function]
+# @PURPOSE: Trigger bulk column mapping for datasets
+# @PRE: User has permission plugin:mapper:execute
+# @PRE: env_id is a valid environment ID
+# @PRE: dataset_ids is a non-empty list
+# @POST: Returns task_id for tracking mapping progress
+# @POST: Task is created and queued for execution
+# @PARAM: request (MapColumnsRequest) - Mapping request with environment and dataset IDs
+# @RETURN: TaskResponse - Task ID for tracking
+# @RELATION: DISPATCHES -> MapperPlugin
+# @RELATION: CALLS -> task_manager.create_task
+@router.post("/map-columns", response_model=TaskResponse)
+async def map_columns(
+    request: MapColumnsRequest,
+    config_manager=Depends(get_config_manager),
+    task_manager=Depends(get_task_manager),
+    _ = Depends(has_permission("plugin:mapper", "EXECUTE"))
+):
+    with belief_scope("map_columns", f"env={request.env_id}, count={len(request.dataset_ids)}, source={request.source_type}"):
+        # Validate request
+        if not request.dataset_ids:
+            logger.error("[map_columns][Coherence:Failed] No dataset IDs provided")
+            raise HTTPException(status_code=400, detail="At least one dataset ID must be provided")
+        
+        # Validate source type
+        if request.source_type not in ['postgresql', 'xlsx']:
+            logger.error(f"[map_columns][Coherence:Failed] Invalid source type: {request.source_type}")
+            raise HTTPException(status_code=400, detail="Source type must be 'postgresql' or 'xlsx'")
+        
+        # Validate environment exists
+        environments = config_manager.get_environments()
+        env = next((e for e in environments if e.id == request.env_id), None)
+        
+        if not env:
+            logger.error(f"[map_columns][Coherence:Failed] Environment not found: {request.env_id}")
+            raise HTTPException(status_code=404, detail="Environment not found")
+        
+        try:
+            # Create mapping task
+            task_params = {
+                'env': request.env_id,
+                'dataset_id': request.dataset_ids[0] if request.dataset_ids else None,
+                'source': request.source_type,
+                'connection_id': request.connection_id,
+                'file_data': request.file_data
+            }
+            
+            task_obj = await task_manager.create_task(
+                plugin_id='dataset-mapper',
+                params=task_params
+            )
+            
+            logger.info(f"[map_columns][Coherence:OK] Mapping task created: {task_obj.id} for {len(request.dataset_ids)} datasets")
+            
+            return TaskResponse(task_id=str(task_obj.id))
+            
+        except Exception as e:
+            logger.error(f"[map_columns][Coherence:Failed] Failed to create mapping task: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to create mapping task: {str(e)}")
+# [/DEF:map_columns:Function]
+
+# [DEF:GenerateDocsRequest:DataClass]
+class GenerateDocsRequest(BaseModel):
+    env_id: str = Field(..., description="Environment ID")
+    dataset_ids: List[int] = Field(..., description="List of dataset IDs to generate docs for")
+    llm_provider: str = Field(..., description="LLM provider to use")
+    options: Optional[dict] = Field(None, description="Additional options for documentation generation")
+# [/DEF:GenerateDocsRequest:DataClass]
+
+# [DEF:generate_docs:Function]
+# @PURPOSE: Trigger bulk documentation generation for datasets
+# @PRE: User has permission plugin:llm_analysis:execute
+# @PRE: env_id is a valid environment ID
+# @PRE: dataset_ids is a non-empty list
+# @POST: Returns task_id for tracking documentation generation progress
+# @POST: Task is created and queued for execution
+# @PARAM: request (GenerateDocsRequest) - Documentation generation request
+# @RETURN: TaskResponse - Task ID for tracking
+# @RELATION: DISPATCHES -> LLMAnalysisPlugin
+# @RELATION: CALLS -> task_manager.create_task
+@router.post("/generate-docs", response_model=TaskResponse)
+async def generate_docs(
+    request: GenerateDocsRequest,
+    config_manager=Depends(get_config_manager),
+    task_manager=Depends(get_task_manager),
+    _ = Depends(has_permission("plugin:llm_analysis", "EXECUTE"))
+):
+    with belief_scope("generate_docs", f"env={request.env_id}, count={len(request.dataset_ids)}, provider={request.llm_provider}"):
+        # Validate request
+        if not request.dataset_ids:
+            logger.error("[generate_docs][Coherence:Failed] No dataset IDs provided")
+            raise HTTPException(status_code=400, detail="At least one dataset ID must be provided")
+        
+        # Validate environment exists
+        environments = config_manager.get_environments()
+        env = next((e for e in environments if e.id == request.env_id), None)
+        
+        if not env:
+            logger.error(f"[generate_docs][Coherence:Failed] Environment not found: {request.env_id}")
+            raise HTTPException(status_code=404, detail="Environment not found")
+        
+        try:
+            # Create documentation generation task
+            task_params = {
+                'environment_id': request.env_id,
+                'dataset_id': str(request.dataset_ids[0]) if request.dataset_ids else None,
+                'provider_id': request.llm_provider,
+                'options': request.options or {}
+            }
+            
+            task_obj = await task_manager.create_task(
+                plugin_id='llm_documentation',
+                params=task_params
+            )
+            
+            logger.info(f"[generate_docs][Coherence:OK] Documentation generation task created: {task_obj.id} for {len(request.dataset_ids)} datasets")
+            
+            return TaskResponse(task_id=str(task_obj.id))
+            
+        except Exception as e:
+            logger.error(f"[generate_docs][Coherence:Failed] Failed to create documentation generation task: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to create documentation generation task: {str(e)}")
+# [/DEF:generate_docs:Function]
+
+# [DEF:get_dataset_detail:Function]
+# @PURPOSE: Get detailed dataset information including columns and linked dashboards
+# @PRE: env_id is a valid environment ID
+# @PRE: dataset_id is a valid dataset ID
+# @POST: Returns detailed dataset info with columns and linked dashboards
+# @PARAM: env_id (str) - The environment ID
+# @PARAM: dataset_id (int) - The dataset ID
+# @RETURN: DatasetDetailResponse - Detailed dataset information
+# @RELATION: CALLS -> SupersetClient.get_dataset_detail
+@router.get("/{dataset_id}", response_model=DatasetDetailResponse)
+async def get_dataset_detail(
+    env_id: str,
+    dataset_id: int,
+    config_manager=Depends(get_config_manager),
+    _ = Depends(has_permission("plugin:migration", "READ"))
+):
+    with belief_scope("get_dataset_detail", f"env_id={env_id}, dataset_id={dataset_id}"):
+        # Validate environment exists
+        environments = config_manager.get_environments()
+        env = next((e for e in environments if e.id == env_id), None)
+        if not env:
+            logger.error(f"[get_dataset_detail][Coherence:Failed] Environment not found: {env_id}")
+            raise HTTPException(status_code=404, detail="Environment not found")
+        
+        try:
+            # Fetch detailed dataset info using SupersetClient
+            client = SupersetClient(env)
+            dataset_detail = client.get_dataset_detail(dataset_id)
+            
+            logger.info(f"[get_dataset_detail][Coherence:OK] Retrieved dataset {dataset_id} with {dataset_detail['column_count']} columns and {dataset_detail['linked_dashboard_count']} linked dashboards")
+            
+            return DatasetDetailResponse(**dataset_detail)
+            
+        except Exception as e:
+            logger.error(f"[get_dataset_detail][Coherence:Failed] Failed to fetch dataset detail: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to fetch dataset detail: {str(e)}")
+# [/DEF:get_dataset_detail:Function]
+
+# [/DEF:backend.src.api.routes.datasets:Module]

backend/src/api/routes/environments.py

@@ -1,5 +1,6 @@
 # [DEF:backend.src.api.routes.environments:Module]
 #
+# @TIER: STANDARD
 # @SEMANTICS: api, environments, superset, databases
 # @PURPOSE:   API endpoints for listing environments and their databases.
 # @LAYER:     API
@@ -10,15 +11,14 @@
 
 # [SECTION: IMPORTS]
 from fastapi import APIRouter, Depends, HTTPException
-from typing import List, Dict, Optional
+from typing import List, Optional
 from ...dependencies import get_config_manager, get_scheduler_service, has_permission
 from ...core.superset_client import SupersetClient
 from pydantic import BaseModel, Field
-from ...core.config_models import Environment as EnvModel
 from ...core.logger import belief_scope
 # [/SECTION]
 
-router = APIRouter()
+router = APIRouter(prefix="/api/environments", tags=["Environments"])
 
 # [DEF:ScheduleSchema:DataClass]
 class ScheduleSchema(BaseModel):
@@ -43,6 +43,8 @@ class DatabaseResponse(BaseModel):
 
 # [DEF:get_environments:Function]
 # @PURPOSE: List all configured environments.
+# @LAYER: API
+# @SEMANTICS: list, environments, config
 # @PRE:     config_manager is injected via Depends.
 # @POST:    Returns a list of EnvironmentResponse objects.
 # @RETURN:  List[EnvironmentResponse]
@@ -71,6 +73,8 @@ async def get_environments(
 
 # [DEF:update_environment_schedule:Function]
 # @PURPOSE: Update backup schedule for an environment.
+# @LAYER: API
+# @SEMANTICS: update, schedule, backup, environment
 # @PRE:     Environment id exists, schedule is valid ScheduleSchema.
 # @POST:    Backup schedule updated and scheduler reloaded.
 # @PARAM:   id (str) - The environment ID.
@@ -103,6 +107,8 @@ async def update_environment_schedule(
 
 # [DEF:get_environment_databases:Function]
 # @PURPOSE: Fetch the list of databases from a specific environment.
+# @LAYER: API
+# @SEMANTICS: fetch, databases, superset, environment
 # @PRE:     Environment id exists.
 # @POST:    Returns a list of database summaries from the environment.
 # @PARAM:   id (str) - The environment ID.

backend/src/api/routes/git.py

@@ -1,5 +1,6 @@
 # [DEF:backend.src.api.routes.git:Module]
 #
+# @TIER: STANDARD
 # @SEMANTICS: git, routes, api, fastapi, repository, deployment
 # @PURPOSE:   Provides FastAPI endpoints for Git integration operations.
 # @LAYER:     API
@@ -15,17 +16,22 @@ from typing import List, Optional
 import typing
 from src.dependencies import get_config_manager, has_permission
 from src.core.database import get_db
-from src.models.git import GitServerConfig, GitStatus, DeploymentEnvironment, GitRepository
+from src.models.git import GitServerConfig, GitRepository
 from src.api.routes.git_schemas import (
     GitServerConfigSchema, GitServerConfigCreate,
-    GitRepositorySchema, BranchSchema, BranchCreate,
+    BranchSchema, BranchCreate,
     BranchCheckout, CommitSchema, CommitCreate,
     DeploymentEnvironmentSchema, DeployRequest, RepoInitRequest
 )
 from src.services.git_service import GitService
 from src.core.logger import logger, belief_scope
+from ...services.llm_prompt_templates import (
+    DEFAULT_LLM_PROMPTS,
+    normalize_llm_settings,
+    resolve_bound_provider_id,
+)
 
-router = APIRouter(prefix="/api/git", tags=["git"])
+router = APIRouter(tags=["git"])
 git_service = GitService()
 
 # [DEF:get_git_configs:Function]
@@ -397,4 +403,72 @@ async def get_repository_diff(
             raise HTTPException(status_code=400, detail=str(e))
 # [/DEF:get_repository_diff:Function]
 
-# [/DEF:backend.src.api.routes.git:Module]
+# [DEF:generate_commit_message:Function]
+# @PURPOSE: Generate a suggested commit message using LLM.
+# @PRE: Repository for `dashboard_id` is initialized.
+# @POST: Returns a suggested commit message string.
+@router.post("/repositories/{dashboard_id}/generate-message")
+async def generate_commit_message(
+    dashboard_id: int,
+    db: Session = Depends(get_db),
+    config_manager = Depends(get_config_manager),
+    _ = Depends(has_permission("plugin:git", "EXECUTE"))
+):
+    with belief_scope("generate_commit_message"):
+        try:
+            # 1. Get Diff
+            diff = git_service.get_diff(dashboard_id, staged=True)
+            if not diff:
+                diff = git_service.get_diff(dashboard_id, staged=False)
+            
+            if not diff:
+                return {"message": "No changes detected"}
+
+            # 2. Get History
+            history_objs = git_service.get_commit_history(dashboard_id, limit=5)
+            history = [h.message for h in history_objs if hasattr(h, 'message')]
+
+            # 3. Get LLM Client
+            from ...services.llm_provider import LLMProviderService
+            from ...plugins.llm_analysis.service import LLMClient
+            from ...plugins.llm_analysis.models import LLMProviderType
+            
+            llm_service = LLMProviderService(db)
+            providers = llm_service.get_all_providers()
+            llm_settings = normalize_llm_settings(config_manager.get_config().settings.llm)
+            bound_provider_id = resolve_bound_provider_id(llm_settings, "git_commit")
+            provider = next((p for p in providers if p.id == bound_provider_id), None)
+            if not provider:
+                provider = next((p for p in providers if p.is_active), None)
+            
+            if not provider:
+                raise HTTPException(status_code=400, detail="No active LLM provider found")
+            
+            api_key = llm_service.get_decrypted_api_key(provider.id)
+            client = LLMClient(
+                provider_type=LLMProviderType(provider.provider_type),
+                api_key=api_key,
+                base_url=provider.base_url,
+                default_model=provider.default_model
+            )
+
+            # 4. Generate Message
+            from ...plugins.git.llm_extension import GitLLMExtension
+            extension = GitLLMExtension(client)
+            git_prompt = llm_settings["prompts"].get(
+                "git_commit_prompt",
+                DEFAULT_LLM_PROMPTS["git_commit_prompt"],
+            )
+            message = await extension.suggest_commit_message(
+                diff,
+                history,
+                prompt_template=git_prompt,
+            )
+            
+            return {"message": message}
+        except Exception as e:
+            logger.error(f"Failed to generate commit message: {e}")
+            raise HTTPException(status_code=400, detail=str(e))
+# [/DEF:generate_commit_message:Function]
+
+# [/DEF:backend.src.api.routes.git:Module]

backend/src/api/routes/git_schemas.py

@@ -11,7 +11,6 @@
 from pydantic import BaseModel, Field
 from typing import List, Optional
 from datetime import datetime
-from uuid import UUID
 from src.models.git import GitProvider, GitStatus, SyncStatus
 
 # [DEF:GitServerConfigBase:Class]

backend/src/api/routes/llm.py

@@ -0,0 +1,207 @@
+# [DEF:backend/src/api/routes/llm.py:Module]
+# @TIER: STANDARD
+# @SEMANTICS: api, routes, llm
+# @PURPOSE: API routes for LLM provider configuration and management.
+# @LAYER: UI (API)
+
+from fastapi import APIRouter, Depends, HTTPException, status
+from typing import List
+from ...core.logger import logger
+from ...schemas.auth import User
+from ...dependencies import get_current_user as get_current_active_user
+from ...plugins.llm_analysis.models import LLMProviderConfig, LLMProviderType
+from ...services.llm_provider import LLMProviderService
+from ...core.database import get_db
+from sqlalchemy.orm import Session
+
+# [DEF:router:Global]
+# @PURPOSE: APIRouter instance for LLM routes.
+router = APIRouter(tags=["LLM"])
+# [/DEF:router:Global]
+
+# [DEF:get_providers:Function]
+# @PURPOSE: Retrieve all LLM provider configurations.
+# @PRE: User is authenticated.
+# @POST: Returns list of LLMProviderConfig.
+@router.get("/providers", response_model=List[LLMProviderConfig])
+async def get_providers(
+    current_user: User = Depends(get_current_active_user),
+    db: Session = Depends(get_db)
+):
+    """
+    Get all LLM provider configurations.
+    """
+    logger.info(f"[llm_routes][get_providers][Action] Fetching providers for user: {current_user.username}")
+    service = LLMProviderService(db)
+    providers = service.get_all_providers()
+    return [
+        LLMProviderConfig(
+            id=p.id,
+            provider_type=LLMProviderType(p.provider_type),
+            name=p.name,
+            base_url=p.base_url,
+            api_key="********",
+            default_model=p.default_model,
+            is_active=p.is_active
+        ) for p in providers
+    ]
+# [/DEF:get_providers:Function]
+
+# [DEF:create_provider:Function]
+# @PURPOSE: Create a new LLM provider configuration.
+# @PRE: User is authenticated and has admin permissions.
+# @POST: Returns the created LLMProviderConfig.
+@router.post("/providers", response_model=LLMProviderConfig, status_code=status.HTTP_201_CREATED)
+async def create_provider(
+    config: LLMProviderConfig,
+    current_user: User = Depends(get_current_active_user),
+    db: Session = Depends(get_db)
+):
+    """
+    Create a new LLM provider configuration.
+    """
+    service = LLMProviderService(db)
+    provider = service.create_provider(config)
+    return LLMProviderConfig(
+        id=provider.id,
+        provider_type=LLMProviderType(provider.provider_type),
+        name=provider.name,
+        base_url=provider.base_url,
+        api_key="********",
+        default_model=provider.default_model,
+        is_active=provider.is_active
+    )
+# [/DEF:create_provider:Function]
+
+# [DEF:update_provider:Function]
+# @PURPOSE: Update an existing LLM provider configuration.
+# @PRE: User is authenticated and has admin permissions.
+# @POST: Returns the updated LLMProviderConfig.
+@router.put("/providers/{provider_id}", response_model=LLMProviderConfig)
+async def update_provider(
+    provider_id: str,
+    config: LLMProviderConfig,
+    current_user: User = Depends(get_current_active_user),
+    db: Session = Depends(get_db)
+):
+    """
+    Update an existing LLM provider configuration.
+    """
+    service = LLMProviderService(db)
+    provider = service.update_provider(provider_id, config)
+    if not provider:
+        raise HTTPException(status_code=404, detail="Provider not found")
+    
+    return LLMProviderConfig(
+        id=provider.id,
+        provider_type=LLMProviderType(provider.provider_type),
+        name=provider.name,
+        base_url=provider.base_url,
+        api_key="********",
+        default_model=provider.default_model,
+        is_active=provider.is_active
+    )
+# [/DEF:update_provider:Function]
+
+# [DEF:delete_provider:Function]
+# @PURPOSE: Delete an LLM provider configuration.
+# @PRE: User is authenticated and has admin permissions.
+# @POST: Returns success status.
+@router.delete("/providers/{provider_id}", status_code=status.HTTP_204_NO_CONTENT)
+async def delete_provider(
+    provider_id: str,
+    current_user: User = Depends(get_current_active_user),
+    db: Session = Depends(get_db)
+):
+    """
+    Delete an LLM provider configuration.
+    """
+    service = LLMProviderService(db)
+    if not service.delete_provider(provider_id):
+        raise HTTPException(status_code=404, detail="Provider not found")
+    return
+# [/DEF:delete_provider:Function]
+
+# [DEF:test_connection:Function]
+# @PURPOSE: Test connection to an LLM provider.
+# @PRE: User is authenticated.
+# @POST: Returns success status and message.
+@router.post("/providers/{provider_id}/test")
+async def test_connection(
+    provider_id: str,
+    current_user: User = Depends(get_current_active_user),
+    db: Session = Depends(get_db)
+):
+    logger.info(f"[llm_routes][test_connection][Action] Testing connection for provider_id: {provider_id}")
+    """
+    Test connection to an LLM provider.
+    """
+    from ...plugins.llm_analysis.service import LLMClient
+    service = LLMProviderService(db)
+    db_provider = service.get_provider(provider_id)
+    if not db_provider:
+        raise HTTPException(status_code=404, detail="Provider not found")
+    
+    api_key = service.get_decrypted_api_key(provider_id)
+    
+    # Check if API key was successfully decrypted
+    if not api_key:
+        logger.error(f"[llm_routes][test_connection] Failed to decrypt API key for provider {provider_id}")
+        raise HTTPException(
+            status_code=500,
+            detail="Failed to decrypt API key. The provider may have been encrypted with a different encryption key. Please update the provider with a new API key."
+        )
+    
+    client = LLMClient(
+        provider_type=LLMProviderType(db_provider.provider_type),
+        api_key=api_key,
+        base_url=db_provider.base_url,
+        default_model=db_provider.default_model
+    )
+    
+    try:
+        # Simple test call
+        await client.client.models.list()
+        return {"success": True, "message": "Connection successful"}
+    except Exception as e:
+        return {"success": False, "error": str(e)}
+# [/DEF:test_connection:Function]
+
+# [DEF:test_provider_config:Function]
+# @PURPOSE: Test connection with a provided configuration (not yet saved).
+# @PRE: User is authenticated.
+# @POST: Returns success status and message.
+@router.post("/providers/test")
+async def test_provider_config(
+    config: LLMProviderConfig,
+    current_user: User = Depends(get_current_active_user)
+):
+    """
+    Test connection with a provided configuration.
+    """
+    from ...plugins.llm_analysis.service import LLMClient
+    logger.info(f"[llm_routes][test_provider_config][Action] Testing config for {config.name}")
+    
+    # Check if API key is provided
+    if not config.api_key or config.api_key == "********":
+        raise HTTPException(
+            status_code=400,
+            detail="API key is required for testing connection"
+        )
+    
+    client = LLMClient(
+        provider_type=config.provider_type,
+        api_key=config.api_key,
+        base_url=config.base_url,
+        default_model=config.default_model
+    )
+    
+    try:
+        # Simple test call
+        await client.client.models.list()
+        return {"success": True, "message": "Connection successful"}
+    except Exception as e:
+        return {"success": False, "error": str(e)}
+# [/DEF:test_provider_config:Function]
+
+# [/DEF:backend/src/api/routes/llm.py]

backend/src/api/routes/mappings.py

@@ -1,5 +1,6 @@
 # [DEF:backend.src.api.routes.mappings:Module]
 #
+# @TIER: STANDARD
 # @SEMANTICS: api, mappings, database, fuzzy-matching
 # @PURPOSE:   API endpoints for managing database mappings and getting suggestions.
 # @LAYER:     API
@@ -20,7 +21,7 @@ from ...models.mapping import DatabaseMapping
 from pydantic import BaseModel
 # [/SECTION]
 
-router = APIRouter(prefix="/api/mappings", tags=["mappings"])
+router = APIRouter(tags=["mappings"])
 
 # [DEF:MappingCreate:DataClass]
 class MappingCreate(BaseModel):
@@ -30,6 +31,7 @@ class MappingCreate(BaseModel):
     target_db_uuid: str
     source_db_name: str
     target_db_name: str
+    engine: Optional[str] = None
 # [/DEF:MappingCreate:DataClass]
 
 # [DEF:MappingResponse:DataClass]
@@ -41,6 +43,7 @@ class MappingResponse(BaseModel):
     target_db_uuid: str
     source_db_name: str
     target_db_name: str
+    engine: Optional[str] = None
 
     class Config:
         from_attributes = True
@@ -93,6 +96,7 @@ async def create_mapping(
         if existing:
             existing.target_db_uuid = mapping.target_db_uuid
             existing.target_db_name = mapping.target_db_name
+            existing.engine = mapping.engine
             db.commit()
             db.refresh(existing)
             return existing

backend/src/api/routes/migration.py

@@ -1,4 +1,5 @@
 # [DEF:backend.src.api.routes.migration:Module]
+# @TIER: STANDARD
 # @SEMANTICS: api, migration, dashboards
 # @PURPOSE:   API endpoints for migration operations.
 # @LAYER:     API
@@ -6,7 +7,7 @@
 # @RELATION:  DEPENDS_ON -> backend.src.models.dashboard
 
 from fastapi import APIRouter, Depends, HTTPException
-from typing import List, Dict
+from typing import List
 from ...dependencies import get_config_manager, get_task_manager, has_permission
 from ...models.dashboard import DashboardMetadata, DashboardSelection
 from ...core.superset_client import SupersetClient
@@ -43,7 +44,7 @@ async def get_dashboards(
 # @POST:    Starts the migration task and returns the task ID.
 # @PARAM:   selection (DashboardSelection) - The dashboards to migrate.
 # @RETURN:  Dict - {"task_id": str, "message": str}
-@router.post("/migration/execute")
+@router.post("/execute")
 async def execute_migration(
     selection: DashboardSelection,
     config_manager=Depends(get_config_manager),

backend/src/api/routes/plugins.py

@@ -1,4 +1,5 @@
 # [DEF:PluginsRouter:Module]
+# @TIER: STANDARD
 # @SEMANTICS: api, router, plugins, list
 # @PURPOSE: Defines the FastAPI router for plugin-related endpoints, allowing clients to list available plugins.
 # @LAYER: UI (API)

backend/src/api/routes/reports.py

@@ -0,0 +1,132 @@
+# [DEF:ReportsRouter:Module]
+# @TIER: CRITICAL
+# @SEMANTICS: api, reports, list, detail, pagination, filters
+# @PURPOSE: FastAPI router for unified task report list and detail retrieval endpoints.
+# @LAYER: UI (API)
+# @RELATION: DEPENDS_ON -> backend.src.services.reports.report_service.ReportsService
+# @RELATION: DEPENDS_ON -> backend.src.dependencies
+# @INVARIANT: Endpoints are read-only and do not trigger long-running tasks.
+
+# [SECTION: IMPORTS]
+from datetime import datetime
+from typing import List, Optional
+
+from fastapi import APIRouter, Depends, HTTPException, Query, status
+
+from ...dependencies import get_task_manager, has_permission
+from ...core.task_manager import TaskManager
+from ...core.logger import belief_scope
+from ...models.report import ReportCollection, ReportDetailView, ReportQuery, ReportStatus, TaskType
+from ...services.reports.report_service import ReportsService
+# [/SECTION]
+
+router = APIRouter(prefix="/api/reports", tags=["Reports"])
+
+
+# [DEF:_parse_csv_enum_list:Function]
+# @PURPOSE: Parse comma-separated query value into enum list.
+# @PRE: raw may be None/empty or comma-separated values.
+# @POST: Returns enum list or raises HTTP 400 with deterministic machine-readable payload.
+# @PARAM: raw (Optional[str]) - Comma-separated enum values.
+# @PARAM: enum_cls (type) - Enum class for validation.
+# @PARAM: field_name (str) - Query field name for diagnostics.
+# @RETURN: List - Parsed enum values.
+def _parse_csv_enum_list(raw: Optional[str], enum_cls, field_name: str) -> List:
+    with belief_scope("_parse_csv_enum_list"):
+        if raw is None or not raw.strip():
+            return []
+        values = [item.strip() for item in raw.split(",") if item.strip()]
+        parsed = []
+        invalid = []
+        for value in values:
+            try:
+                parsed.append(enum_cls(value))
+            except ValueError:
+                invalid.append(value)
+        if invalid:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail={
+                    "message": f"Invalid values for '{field_name}'",
+                    "field": field_name,
+                    "invalid_values": invalid,
+                    "allowed_values": [item.value for item in enum_cls],
+                },
+            )
+        return parsed
+# [/DEF:_parse_csv_enum_list:Function]
+
+
+# [DEF:list_reports:Function]
+# @PURPOSE: Return paginated unified reports list.
+# @PRE: authenticated/authorized request and validated query params.
+# @POST: returns {items,total,page,page_size,has_next,applied_filters}.
+# @POST: deterministic error payload for invalid filters.
+@router.get("", response_model=ReportCollection)
+async def list_reports(
+    page: int = Query(1, ge=1),
+    page_size: int = Query(20, ge=1, le=100),
+    task_types: Optional[str] = Query(None, description="Comma-separated task types"),
+    statuses: Optional[str] = Query(None, description="Comma-separated statuses"),
+    time_from: Optional[datetime] = Query(None),
+    time_to: Optional[datetime] = Query(None),
+    search: Optional[str] = Query(None, max_length=200),
+    sort_by: str = Query("updated_at"),
+    sort_order: str = Query("desc"),
+    task_manager: TaskManager = Depends(get_task_manager),
+    _=Depends(has_permission("tasks", "READ")),
+):
+    with belief_scope("list_reports"):
+        try:
+            parsed_task_types = _parse_csv_enum_list(task_types, TaskType, "task_types")
+            parsed_statuses = _parse_csv_enum_list(statuses, ReportStatus, "statuses")
+            query = ReportQuery(
+                page=page,
+                page_size=page_size,
+                task_types=parsed_task_types,
+                statuses=parsed_statuses,
+                time_from=time_from,
+                time_to=time_to,
+                search=search,
+                sort_by=sort_by,
+                sort_order=sort_order,
+            )
+        except HTTPException:
+            raise
+        except Exception as exc:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail={
+                    "message": "Invalid query parameters",
+                    "code": "INVALID_REPORT_QUERY",
+                    "reason": str(exc),
+                },
+            )
+
+        service = ReportsService(task_manager)
+        return service.list_reports(query)
+# [/DEF:list_reports:Function]
+
+
+# [DEF:get_report_detail:Function]
+# @PURPOSE: Return one normalized report detail with diagnostics and next actions.
+# @PRE: authenticated/authorized request and existing report_id.
+# @POST: returns normalized detail envelope or 404 when report is not found.
+@router.get("/{report_id}", response_model=ReportDetailView)
+async def get_report_detail(
+    report_id: str,
+    task_manager: TaskManager = Depends(get_task_manager),
+    _=Depends(has_permission("tasks", "READ")),
+):
+    with belief_scope("get_report_detail", f"report_id={report_id}"):
+        service = ReportsService(task_manager)
+        detail = service.get_report_detail(report_id)
+        if not detail:
+            raise HTTPException(
+                status_code=status.HTTP_404_NOT_FOUND,
+                detail={"message": "Report not found", "code": "REPORT_NOT_FOUND"},
+            )
+        return detail
+# [/DEF:get_report_detail:Function]
+
+# [/DEF:ReportsRouter:Module]

backend/src/api/routes/settings.py

@@ -12,15 +12,25 @@
 # [SECTION: IMPORTS]
 from fastapi import APIRouter, Depends, HTTPException
 from typing import List
-from ...core.config_models import AppConfig, Environment, GlobalSettings
+from pydantic import BaseModel
+from ...core.config_models import AppConfig, Environment, GlobalSettings, LoggingConfig
 from ...models.storage import StorageConfig
 from ...dependencies import get_config_manager, has_permission
-from ...core.config_manager import ConfigManager
-from ...core.logger import logger, belief_scope
-from ...core.superset_client import SupersetClient
-import os
+from ...core.config_manager import ConfigManager
+from ...core.logger import logger, belief_scope
+from ...core.superset_client import SupersetClient
+from ...services.llm_prompt_templates import normalize_llm_settings
 # [/SECTION]
 
+# [DEF:LoggingConfigResponse:Class]
+# @PURPOSE: Response model for logging configuration with current task log level.
+# @SEMANTICS: logging, config, response
+class LoggingConfigResponse(BaseModel):
+    level: str
+    task_log_level: str
+    enable_belief_state: bool
+# [/DEF:LoggingConfigResponse:Class]
+
 router = APIRouter()
 
 # [DEF:get_settings:Function]
@@ -29,13 +39,14 @@ router = APIRouter()
 # @POST:    Returns masked AppConfig.
 # @RETURN: AppConfig - The current configuration.
 @router.get("", response_model=AppConfig)
-async def get_settings(
+async def get_settings(
     config_manager: ConfigManager = Depends(get_config_manager),
     _ = Depends(has_permission("admin:settings", "READ"))
 ):
     with belief_scope("get_settings"):
         logger.info("[get_settings][Entry] Fetching all settings")
-    config = config_manager.get_config().copy(deep=True)
+    config = config_manager.get_config().copy(deep=True)
+    config.settings.llm = normalize_llm_settings(config.settings.llm)
     # Mask passwords
     for env in config.environments:
         if env.password:
@@ -223,5 +234,147 @@ async def test_environment_connection(
         return {"status": "error", "message": str(e)}
 # [/DEF:test_environment_connection:Function]
 
+# [DEF:get_logging_config:Function]
+# @PURPOSE: Retrieves current logging configuration.
+# @PRE:     Config manager is available.
+# @POST:    Returns logging configuration.
+# @RETURN: LoggingConfigResponse - The current logging config.
+@router.get("/logging", response_model=LoggingConfigResponse)
+async def get_logging_config(
+    config_manager: ConfigManager = Depends(get_config_manager),
+    _ = Depends(has_permission("admin:settings", "READ"))
+):
+    with belief_scope("get_logging_config"):
+        logging_config = config_manager.get_config().settings.logging
+        return LoggingConfigResponse(
+            level=logging_config.level,
+            task_log_level=logging_config.task_log_level,
+            enable_belief_state=logging_config.enable_belief_state
+        )
+# [/DEF:get_logging_config:Function]
+
+# [DEF:update_logging_config:Function]
+# @PURPOSE: Updates logging configuration.
+# @PRE:     New logging config is provided.
+# @POST:    Logging configuration is updated and saved.
+# @PARAM: config (LoggingConfig) - The new logging configuration.
+# @RETURN: LoggingConfigResponse - The updated logging config.
+@router.patch("/logging", response_model=LoggingConfigResponse)
+async def update_logging_config(
+    config: LoggingConfig,
+    config_manager: ConfigManager = Depends(get_config_manager),
+    _ = Depends(has_permission("admin:settings", "WRITE"))
+):
+    with belief_scope("update_logging_config"):
+        logger.info(f"[update_logging_config][Entry] Updating logging config: level={config.level}, task_log_level={config.task_log_level}")
+        
+        # Get current settings and update logging config
+        settings = config_manager.get_config().settings
+        settings.logging = config
+        config_manager.update_global_settings(settings)
+        
+        return LoggingConfigResponse(
+            level=config.level,
+            task_log_level=config.task_log_level,
+            enable_belief_state=config.enable_belief_state
+        )
+# [/DEF:update_logging_config:Function]
+
+# [DEF:ConsolidatedSettingsResponse:Class]
+class ConsolidatedSettingsResponse(BaseModel):
+    environments: List[dict]
+    connections: List[dict]
+    llm: dict
+    llm_providers: List[dict]
+    logging: dict
+    storage: dict
+# [/DEF:ConsolidatedSettingsResponse:Class]
+
+# [DEF:get_consolidated_settings:Function]
+# @PURPOSE: Retrieves all settings categories in a single call
+# @PRE:     Config manager is available.
+# @POST:    Returns all consolidated settings.
+# @RETURN: ConsolidatedSettingsResponse - All settings categories.
+@router.get("/consolidated", response_model=ConsolidatedSettingsResponse)
+async def get_consolidated_settings(
+    config_manager: ConfigManager = Depends(get_config_manager),
+    _ = Depends(has_permission("admin:settings", "READ"))
+):
+    with belief_scope("get_consolidated_settings"):
+        logger.info("[get_consolidated_settings][Entry] Fetching all consolidated settings")
+        
+        config = config_manager.get_config()
+        
+        from ...services.llm_provider import LLMProviderService
+        from ...core.database import SessionLocal
+        db = SessionLocal()
+        try:
+            llm_service = LLMProviderService(db)
+            providers = llm_service.get_all_providers()
+            llm_providers_list = [
+                {
+                    "id": p.id,
+                    "provider_type": p.provider_type,
+                    "name": p.name,
+                    "base_url": p.base_url,
+                    "api_key": "********",
+                    "default_model": p.default_model,
+                    "is_active": p.is_active
+                } for p in providers
+            ]
+        finally:
+            db.close()
+
+        normalized_llm = normalize_llm_settings(config.settings.llm)
+
+        return ConsolidatedSettingsResponse(
+            environments=[env.dict() for env in config.environments],
+            connections=config.settings.connections,
+            llm=normalized_llm,
+            llm_providers=llm_providers_list,
+            logging=config.settings.logging.dict(),
+            storage=config.settings.storage.dict()
+        )
+# [/DEF:get_consolidated_settings:Function]
+
+# [DEF:update_consolidated_settings:Function]
+# @PURPOSE: Bulk update application settings from the consolidated view.
+# @PRE:     User has admin permissions, config is valid.
+# @POST:    Settings are updated and saved via ConfigManager.
+@router.patch("/consolidated")
+async def update_consolidated_settings(
+    settings_patch: dict,
+    config_manager: ConfigManager = Depends(get_config_manager),
+    _ = Depends(has_permission("admin:settings", "WRITE"))
+):
+    with belief_scope("update_consolidated_settings"):
+        logger.info("[update_consolidated_settings][Entry] Applying consolidated settings patch")
+        
+        current_config = config_manager.get_config()
+        current_settings = current_config.settings
+        
+        # Update connections if provided
+        if "connections" in settings_patch:
+            current_settings.connections = settings_patch["connections"]
+            
+        # Update LLM if provided
+        if "llm" in settings_patch:
+            current_settings.llm = normalize_llm_settings(settings_patch["llm"])
+            
+        # Update Logging if provided
+        if "logging" in settings_patch:
+            current_settings.logging = LoggingConfig(**settings_patch["logging"])
+            
+        # Update Storage if provided
+        if "storage" in settings_patch:
+            new_storage = StorageConfig(**settings_patch["storage"])
+            is_valid, message = config_manager.validate_path(new_storage.root_path)
+            if not is_valid:
+                 raise HTTPException(status_code=400, detail=message)
+            current_settings.storage = new_storage
+
+        config_manager.update_global_settings(current_settings)
+        return {"status": "success", "message": "Settings updated"}
+# [/DEF:update_consolidated_settings:Function]
 
 # [/DEF:SettingsRouter:Module]

backend/src/api/routes/storage.py

@@ -1,5 +1,6 @@
 # [DEF:storage_routes:Module]
 #
+# @TIER: STANDARD
 # @SEMANTICS: storage, files, upload, download, backup, repository
 # @PURPOSE:   API endpoints for file storage management (backups and repositories).
 # @LAYER:     API

backend/src/api/routes/tasks.py

@@ -1,19 +1,33 @@
 # [DEF:TasksRouter:Module]
-# @SEMANTICS: api, router, tasks, create, list, get
+# @TIER: STANDARD
+# @SEMANTICS: api, router, tasks, create, list, get, logs
 # @PURPOSE: Defines the FastAPI router for task-related endpoints, allowing clients to create, list, and get the status of tasks.
 # @LAYER: UI (API)
 # @RELATION: Depends on the TaskManager. It is included by the main app.
-from typing import List, Dict, Any, Optional
-from fastapi import APIRouter, Depends, HTTPException, status
+from typing import List, Dict, Any, Optional
+from fastapi import APIRouter, Depends, HTTPException, status, Query
 from pydantic import BaseModel
 from ...core.logger import belief_scope
 
-from ...core.task_manager import TaskManager, Task, TaskStatus, LogEntry
-from ...dependencies import get_task_manager, has_permission
+from ...core.task_manager import TaskManager, Task, TaskStatus, LogEntry
+from ...core.task_manager.models import LogFilter, LogStats
+from ...dependencies import get_task_manager, has_permission, get_current_user, get_config_manager
+from ...core.config_manager import ConfigManager
+from ...services.llm_prompt_templates import (
+    is_multimodal_model,
+    normalize_llm_settings,
+    resolve_bound_provider_id,
+)
 
-router = APIRouter()
-
-class CreateTaskRequest(BaseModel):
+router = APIRouter()
+
+TASK_TYPE_PLUGIN_MAP = {
+    "llm_validation": ["llm_dashboard_validation"],
+    "backup": ["superset-backup"],
+    "migration": ["superset-migration"],
+}
+
+class CreateTaskRequest(BaseModel):
     plugin_id: str
     params: Dict[str, Any]
 
@@ -31,16 +45,55 @@ class ResumeTaskRequest(BaseModel):
 # @PRE: plugin_id must exist and params must be valid for that plugin.
 # @POST: A new task is created and started.
 # @RETURN: Task - The created task instance.
-async def create_task(
-    request: CreateTaskRequest,
-    task_manager: TaskManager = Depends(get_task_manager),
-    _ = Depends(lambda req: has_permission(f"plugin:{req.plugin_id}", "EXECUTE"))
-):
+async def create_task(
+    request: CreateTaskRequest,
+    task_manager: TaskManager = Depends(get_task_manager),
+    current_user = Depends(get_current_user),
+    config_manager: ConfigManager = Depends(get_config_manager),
+):
+    # Dynamic permission check based on plugin_id
+    has_permission(f"plugin:{request.plugin_id}", "EXECUTE")(current_user)
     """
     Create and start a new task for a given plugin.
     """
     with belief_scope("create_task"):
-        try:
+        try:
+            # Special handling for LLM tasks to resolve provider config by task binding.
+            if request.plugin_id in {"llm_dashboard_validation", "llm_documentation"}:
+                from ...core.database import SessionLocal
+                from ...services.llm_provider import LLMProviderService
+                db = SessionLocal()
+                try:
+                    llm_service = LLMProviderService(db)
+                    provider_id = request.params.get("provider_id")
+                    if not provider_id:
+                        llm_settings = normalize_llm_settings(config_manager.get_config().settings.llm)
+                        binding_key = "dashboard_validation" if request.plugin_id == "llm_dashboard_validation" else "documentation"
+                        provider_id = resolve_bound_provider_id(llm_settings, binding_key)
+                        if provider_id:
+                            request.params["provider_id"] = provider_id
+                    if not provider_id:
+                        providers = llm_service.get_all_providers()
+                        active_provider = next((p for p in providers if p.is_active), None)
+                        if active_provider:
+                            provider_id = active_provider.id
+                            request.params["provider_id"] = provider_id
+
+                    if provider_id:
+                        db_provider = llm_service.get_provider(provider_id)
+                        if not db_provider:
+                            raise ValueError(f"LLM Provider {provider_id} not found")
+                        if request.plugin_id == "llm_dashboard_validation" and not is_multimodal_model(
+                            db_provider.default_model,
+                            db_provider.provider_type,
+                        ):
+                            raise HTTPException(
+                                status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+                                detail="Selected provider model is not multimodal for dashboard validation",
+                            )
+                finally:
+                    db.close()
+
             task = await task_manager.create_task(
                 plugin_id=request.plugin_id,
                 params=request.params
@@ -60,18 +113,36 @@ async def create_task(
 # @PRE: task_manager must be available.
 # @POST: Returns a list of tasks.
 # @RETURN: List[Task] - List of tasks.
-async def list_tasks(
-    limit: int = 10,
-    offset: int = 0,
-    status: Optional[TaskStatus] = None,
-    task_manager: TaskManager = Depends(get_task_manager),
-    _ = Depends(has_permission("tasks", "READ"))
-):
-    """
-    Retrieve a list of tasks with pagination and optional status filter.
-    """
-    with belief_scope("list_tasks"):
-        return task_manager.get_tasks(limit=limit, offset=offset, status=status)
+async def list_tasks(
+    limit: int = 10,
+    offset: int = 0,
+    status_filter: Optional[TaskStatus] = Query(None, alias="status"),
+    task_type: Optional[str] = Query(None, description="Task category: llm_validation, backup, migration"),
+    plugin_id: Optional[List[str]] = Query(None, description="Filter by plugin_id (repeatable query param)"),
+    completed_only: bool = Query(False, description="Return only completed tasks (SUCCESS/FAILED)"),
+    task_manager: TaskManager = Depends(get_task_manager),
+    _ = Depends(has_permission("tasks", "READ"))
+):
+    """
+    Retrieve a list of tasks with pagination and optional status filter.
+    """
+    with belief_scope("list_tasks"):
+        plugin_filters = list(plugin_id) if plugin_id else []
+        if task_type:
+            if task_type not in TASK_TYPE_PLUGIN_MAP:
+                raise HTTPException(
+                    status_code=status.HTTP_400_BAD_REQUEST,
+                    detail=f"Unsupported task_type '{task_type}'. Allowed: {', '.join(TASK_TYPE_PLUGIN_MAP.keys())}"
+                )
+            plugin_filters.extend(TASK_TYPE_PLUGIN_MAP[task_type])
+
+        return task_manager.get_tasks(
+            limit=limit,
+            offset=offset,
+            status=status_filter,
+            plugin_ids=plugin_filters or None,
+            completed_only=completed_only
+        )
 # [/DEF:list_tasks:Function]
 
 @router.get("/{task_id}", response_model=Task)
@@ -99,27 +170,93 @@ async def get_task(
 
 @router.get("/{task_id}/logs", response_model=List[LogEntry])
 # [DEF:get_task_logs:Function]
-# @PURPOSE: Retrieve logs for a specific task.
+# @PURPOSE: Retrieve logs for a specific task with optional filtering.
 # @PARAM: task_id (str) - The unique identifier of the task.
+# @PARAM: level (Optional[str]) - Filter by log level (DEBUG, INFO, WARNING, ERROR).
+# @PARAM: source (Optional[str]) - Filter by source component.
+# @PARAM: search (Optional[str]) - Text search in message.
+# @PARAM: offset (int) - Number of logs to skip.
+# @PARAM: limit (int) - Maximum number of logs to return.
 # @PARAM: task_manager (TaskManager) - The task manager instance.
 # @PRE: task_id must exist.
 # @POST: Returns a list of log entries or raises 404.
 # @RETURN: List[LogEntry] - List of log entries.
+# @TIER: CRITICAL
 async def get_task_logs(
     task_id: str,
+    level: Optional[str] = Query(None, description="Filter by log level (DEBUG, INFO, WARNING, ERROR)"),
+    source: Optional[str] = Query(None, description="Filter by source component"),
+    search: Optional[str] = Query(None, description="Text search in message"),
+    offset: int = Query(0, ge=0, description="Number of logs to skip"),
+    limit: int = Query(100, ge=1, le=1000, description="Maximum number of logs to return"),
     task_manager: TaskManager = Depends(get_task_manager),
     _ = Depends(has_permission("tasks", "READ"))
 ):
     """
-    Retrieve logs for a specific task.
+    Retrieve logs for a specific task with optional filtering.
+    Supports filtering by level, source, and text search.
     """
     with belief_scope("get_task_logs"):
         task = task_manager.get_task(task_id)
         if not task:
             raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Task not found")
-        return task_manager.get_task_logs(task_id)
+        
+        log_filter = LogFilter(
+            level=level.upper() if level else None,
+            source=source,
+            search=search,
+            offset=offset,
+            limit=limit
+        )
+        return task_manager.get_task_logs(task_id, log_filter)
 # [/DEF:get_task_logs:Function]
 
+@router.get("/{task_id}/logs/stats", response_model=LogStats)
+# [DEF:get_task_log_stats:Function]
+# @PURPOSE: Get statistics about logs for a task (counts by level and source).
+# @PARAM: task_id (str) - The unique identifier of the task.
+# @PARAM: task_manager (TaskManager) - The task manager instance.
+# @PRE: task_id must exist.
+# @POST: Returns log statistics or raises 404.
+# @RETURN: LogStats - Statistics about task logs.
+async def get_task_log_stats(
+    task_id: str,
+    task_manager: TaskManager = Depends(get_task_manager),
+    _ = Depends(has_permission("tasks", "READ"))
+):
+    """
+    Get statistics about logs for a task (counts by level and source).
+    """
+    with belief_scope("get_task_log_stats"):
+        task = task_manager.get_task(task_id)
+        if not task:
+            raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Task not found")
+        return task_manager.get_task_log_stats(task_id)
+# [/DEF:get_task_log_stats:Function]
+
+@router.get("/{task_id}/logs/sources", response_model=List[str])
+# [DEF:get_task_log_sources:Function]
+# @PURPOSE: Get unique sources for a task's logs.
+# @PARAM: task_id (str) - The unique identifier of the task.
+# @PARAM: task_manager (TaskManager) - The task manager instance.
+# @PRE: task_id must exist.
+# @POST: Returns list of unique source names or raises 404.
+# @RETURN: List[str] - Unique source names.
+async def get_task_log_sources(
+    task_id: str,
+    task_manager: TaskManager = Depends(get_task_manager),
+    _ = Depends(has_permission("tasks", "READ"))
+):
+    """
+    Get unique sources for a task's logs.
+    """
+    with belief_scope("get_task_log_sources"):
+        task = task_manager.get_task(task_id)
+        if not task:
+            raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Task not found")
+        return task_manager.get_task_log_sources(task_id)
+# [/DEF:get_task_log_sources:Function]
+
 @router.post("/{task_id}/resolve", response_model=Task)
 # [DEF:resolve_task:Function]
 # @PURPOSE: Resolve a task that is awaiting mapping.
@@ -191,4 +328,4 @@ async def clear_tasks(
         task_manager.clear_tasks(status)
         return
 # [/DEF:clear_tasks:Function]
-# [/DEF:TasksRouter:Module]
+# [/DEF:TasksRouter:Module]

backend/src/app.py

@@ -1,27 +1,28 @@
 # [DEF:AppModule:Module]
+# @TIER: CRITICAL
 # @SEMANTICS: app, main, entrypoint, fastapi
 # @PURPOSE: The main entry point for the FastAPI application. It initializes the app, configures CORS, sets up dependencies, includes API routers, and defines the WebSocket endpoint for log streaming.
 # @LAYER: UI (API)
 # @RELATION: Depends on the dependency module and API route modules.
-import sys
+# @INVARIANT: Only one FastAPI app instance exists per process.
+# @INVARIANT: All WebSocket connections must be properly cleaned up on disconnect.
 from pathlib import Path
 
 # project_root is used for static files mounting
 project_root = Path(__file__).resolve().parent.parent.parent
 
-from fastapi import FastAPI, WebSocket, WebSocketDisconnect, Depends, Request, HTTPException
+from fastapi import FastAPI, WebSocket, WebSocketDisconnect, Request, HTTPException
 from starlette.middleware.sessions import SessionMiddleware
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.staticfiles import StaticFiles
 from fastapi.responses import FileResponse
 import asyncio
-import os
 
 from .dependencies import get_task_manager, get_scheduler_service
+from .core.utils.network import NetworkError
 from .core.logger import logger, belief_scope
-from .api.routes import plugins, tasks, settings, environments, mappings, migration, connections, git, storage, admin
+from .api.routes import plugins, tasks, settings, environments, mappings, migration, connections, git, storage, admin, llm, dashboards, datasets, reports, assistant
 from .api import auth
-from .core.database import init_db
 
 # [DEF:App:Global]
 # @SEMANTICS: app, fastapi, instance
@@ -71,6 +72,22 @@ app.add_middleware(
 )
 
 
+# [DEF:network_error_handler:Function]
+# @PURPOSE: Global exception handler for NetworkError.
+# @PRE: request is a FastAPI Request object.
+# @POST: Returns 503 HTTP Exception.
+# @PARAM: request (Request) - The incoming request object.
+# @PARAM: exc (NetworkError) - The exception instance.
+@app.exception_handler(NetworkError)
+async def network_error_handler(request: Request, exc: NetworkError):
+    with belief_scope("network_error_handler"):
+        logger.error(f"Network error: {exc}")
+        return HTTPException(
+            status_code=503,
+            detail="Environment unavailable. Please check if the Superset instance is running."
+        )
+# [/DEF:network_error_handler:Function]
+
 # [DEF:log_requests:Function]
 # @PURPOSE: Middleware to log incoming HTTP requests and their response status.
 # @PRE: request is a FastAPI Request object.
@@ -79,11 +96,24 @@ app.add_middleware(
 # @PARAM: call_next (Callable) - The next middleware or route handler.
 @app.middleware("http")
 async def log_requests(request: Request, call_next):
-    with belief_scope("log_requests", f"{request.method} {request.url.path}"):
-        logger.info(f"[DEBUG] Incoming request: {request.method} {request.url.path}")
-        response = await call_next(request)
-        logger.info(f"[DEBUG] Response status: {response.status_code} for {request.url.path}")
-        return response
+    with belief_scope("log_requests"):
+        # Avoid spamming logs for polling endpoints
+        is_polling = request.url.path.endswith("/api/tasks") and request.method == "GET"
+        
+        if not is_polling:
+            logger.info(f"Incoming request: {request.method} {request.url.path}")
+        
+        try:
+            response = await call_next(request)
+            if not is_polling:
+                logger.info(f"Response status: {response.status_code} for {request.url.path}")
+            return response
+        except NetworkError as e:
+            logger.error(f"Network error caught in middleware: {e}")
+            raise HTTPException(
+                status_code=503,
+                detail="Environment unavailable. Please check if the Superset instance is running."
+            )
 # [/DEF:log_requests:Function]
 
 # Include API routes
@@ -93,33 +123,84 @@ app.include_router(plugins.router, prefix="/api/plugins", tags=["Plugins"])
 app.include_router(tasks.router, prefix="/api/tasks", tags=["Tasks"])
 app.include_router(settings.router, prefix="/api/settings", tags=["Settings"])
 app.include_router(connections.router, prefix="/api/settings/connections", tags=["Connections"])
-app.include_router(environments.router, prefix="/api/environments", tags=["Environments"])
-app.include_router(mappings.router)
+app.include_router(environments.router, tags=["Environments"])
+app.include_router(mappings.router, prefix="/api/mappings", tags=["Mappings"])
 app.include_router(migration.router)
-app.include_router(git.router)
+app.include_router(git.router, prefix="/api/git", tags=["Git"])
+app.include_router(llm.router, prefix="/api/llm", tags=["LLM"])
 app.include_router(storage.router, prefix="/api/storage", tags=["Storage"])
+app.include_router(dashboards.router)
+app.include_router(datasets.router)
+app.include_router(reports.router)
+app.include_router(assistant.router, prefix="/api/assistant", tags=["Assistant"])
+
+
+# [DEF:api.include_routers:Action]
+# @PURPOSE: Registers all API routers with the FastAPI application.
+# @LAYER: API
+# @SEMANTICS: routes, registration, api
+# [/DEF:api.include_routers:Action]
 
 # [DEF:websocket_endpoint:Function]
-# @PURPOSE: Provides a WebSocket endpoint for real-time log streaming of a task.
+# @PURPOSE: Provides a WebSocket endpoint for real-time log streaming of a task with server-side filtering.
 # @PRE: task_id must be a valid task ID.
 # @POST: WebSocket connection is managed and logs are streamed until disconnect.
+# @TIER: CRITICAL
+# @UX_STATE: Connecting -> Streaming -> (Disconnected)
 @app.websocket("/ws/logs/{task_id}")
-async def websocket_endpoint(websocket: WebSocket, task_id: str):
+async def websocket_endpoint(
+    websocket: WebSocket,
+    task_id: str,
+    source: str = None,
+    level: str = None
+):
+    """
+    WebSocket endpoint for real-time log streaming with optional server-side filtering.
+    
+    Query Parameters:
+        source: Filter logs by source component (e.g., "plugin", "superset_api")
+        level: Filter logs by minimum level (DEBUG, INFO, WARNING, ERROR)
+    """
     with belief_scope("websocket_endpoint", f"task_id={task_id}"):
         await websocket.accept()
-    logger.info(f"WebSocket connection accepted for task {task_id}")
+    
+    # Normalize filter parameters
+    source_filter = source.lower() if source else None
+    level_filter = level.upper() if level else None
+    
+    # Level hierarchy for filtering
+    level_hierarchy = {"DEBUG": 0, "INFO": 1, "WARNING": 2, "ERROR": 3}
+    min_level = level_hierarchy.get(level_filter, 0) if level_filter else 0
+    
+    logger.info(f"WebSocket connection accepted for task {task_id} (source={source_filter}, level={level_filter})")
     task_manager = get_task_manager()
     queue = await task_manager.subscribe_logs(task_id)
+    
+    def matches_filters(log_entry) -> bool:
+        """Check if log entry matches the filter criteria."""
+        # Check source filter
+        if source_filter and log_entry.source.lower() != source_filter:
+            return False
+        
+        # Check level filter
+        if level_filter:
+            log_level = level_hierarchy.get(log_entry.level.upper(), 0)
+            if log_level < min_level:
+                return False
+        
+        return True
+    
     try:
         # Stream new logs
         logger.info(f"Starting log stream for task {task_id}")
         
-        # Send initial logs first to build context
+        # Send initial logs first to build context (apply filters)
         initial_logs = task_manager.get_task_logs(task_id)
         for log_entry in initial_logs:
-            log_dict = log_entry.dict()
-            log_dict['timestamp'] = log_dict['timestamp'].isoformat()
-            await websocket.send_json(log_dict)
+            if matches_filters(log_entry):
+                log_dict = log_entry.dict()
+                log_dict['timestamp'] = log_dict['timestamp'].isoformat()
+                await websocket.send_json(log_dict)
 
         # Force a check for AWAITING_INPUT status immediately upon connection
         # This ensures that if the task is already waiting when the user connects, they get the prompt.
@@ -137,6 +218,11 @@ async def websocket_endpoint(websocket: WebSocket, task_id: str):
 
         while True:
             log_entry = await queue.get()
+            
+            # Apply server-side filtering
+            if not matches_filters(log_entry):
+                continue
+            
             log_dict = log_entry.dict()
             log_dict['timestamp'] = log_dict['timestamp'].isoformat()
             await websocket.send_json(log_dict)
@@ -164,25 +250,25 @@ async def websocket_endpoint(websocket: WebSocket, task_id: str):
 frontend_path = project_root / "frontend" / "build"
 if frontend_path.exists():
     app.mount("/_app", StaticFiles(directory=str(frontend_path / "_app")), name="static")
-    
-    # Serve other static files from the root of build directory
+
     # [DEF:serve_spa:Function]
-    # @PURPOSE: Serves frontend static files or index.html for SPA routing.
-    # @PRE: file_path is requested by the client.
-    # @POST: Returns the requested file or index.html as a fallback.
-    @app.get("/{file_path:path}")
+    # @PURPOSE: Serves the SPA frontend for any path not matched by API routes.
+    # @PRE: frontend_path exists.
+    # @POST: Returns the requested file or index.html.
+    @app.get("/{file_path:path}", include_in_schema=False)
     async def serve_spa(file_path: str):
-        with belief_scope("serve_spa", f"path={file_path}"):
-            # Don't serve SPA for API routes that fell through
-            if file_path.startswith("api/"):
-                logger.info(f"[DEBUG] API route fell through to serve_spa: {file_path}")
+        with belief_scope("serve_spa"):
+            # Only serve SPA for non-API paths
+            # API routes are registered separately and should be matched by FastAPI first
+            if file_path and (file_path.startswith("api/") or file_path.startswith("/api/") or file_path == "api"):
+                # This should not happen if API routers are properly registered
+                # Return 404 instead of serving HTML
                 raise HTTPException(status_code=404, detail=f"API endpoint not found: {file_path}")
-                
-            full_path = frontend_path / file_path
-            if full_path.is_file():
-                return FileResponse(str(full_path))
-            # Fallback to index.html for SPA routing
-            return FileResponse(str(frontend_path / "index.html"))
+        
+        full_path = frontend_path / file_path
+        if file_path and full_path.is_file():
+            return FileResponse(str(full_path))
+        return FileResponse(str(frontend_path / "index.html"))
     # [/DEF:serve_spa:Function]
 else:
     # [DEF:read_root:Function]

backend/src/core/auth/__tests__/test_auth.py

@@ -0,0 +1,179 @@
+# [DEF:test_auth:Module]
+# @TIER: STANDARD
+# @PURPOSE: Unit tests for authentication module
+# @LAYER: Domain
+# @RELATION: VERIFIES -> src.core.auth
+
+import sys
+from pathlib import Path
+
+# Add src to path
+sys.path.append(str(Path(__file__).parent.parent.parent.parent / "src"))
+
+import pytest
+from sqlalchemy import create_engine
+from sqlalchemy.orm import sessionmaker
+from src.core.database import Base
+from src.models.auth import User, Role, Permission, ADGroupMapping
+from src.services.auth_service import AuthService
+from src.core.auth.repository import AuthRepository
+from src.core.auth.security import verify_password, get_password_hash
+
+# Create in-memory SQLite database for testing
+SQLALCHEMY_DATABASE_URL = "sqlite:///:memory:"
+
+engine = create_engine(SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False})
+TestingSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
+
+# Create all tables
+Base.metadata.create_all(bind=engine)
+
+
+@pytest.fixture
+def db_session():
+    """Create a new database session with a transaction, rollback after test"""
+    connection = engine.connect()
+    transaction = connection.begin()
+    session = TestingSessionLocal(bind=connection)
+    
+    yield session
+    
+    session.close()
+    transaction.rollback()
+    connection.close()
+
+
+@pytest.fixture
+def auth_service(db_session):
+    return AuthService(db_session)
+
+
+@pytest.fixture
+def auth_repo(db_session):
+    return AuthRepository(db_session)
+
+
+def test_create_user(auth_repo):
+    """Test user creation"""
+    user = User(
+        username="testuser",
+        email="test@example.com",
+        password_hash=get_password_hash("testpassword123"),
+        auth_source="LOCAL"
+    )
+    
+    auth_repo.db.add(user)
+    auth_repo.db.commit()
+    
+    retrieved_user = auth_repo.get_user_by_username("testuser")
+    assert retrieved_user is not None
+    assert retrieved_user.username == "testuser"
+    assert retrieved_user.email == "test@example.com"
+    assert verify_password("testpassword123", retrieved_user.password_hash)
+
+
+def test_authenticate_user(auth_service, auth_repo):
+    """Test user authentication with valid and invalid credentials"""
+    user = User(
+        username="testuser",
+        email="test@example.com",
+        password_hash=get_password_hash("testpassword123"),
+        auth_source="LOCAL"
+    )
+    
+    auth_repo.db.add(user)
+    auth_repo.db.commit()
+    
+    # Test valid credentials
+    authenticated_user = auth_service.authenticate_user("testuser", "testpassword123")
+    assert authenticated_user is not None
+    assert authenticated_user.username == "testuser"
+    
+    # Test invalid password
+    invalid_user = auth_service.authenticate_user("testuser", "wrongpassword")
+    assert invalid_user is None
+    
+    # Test invalid username
+    invalid_user = auth_service.authenticate_user("nonexistent", "testpassword123")
+    assert invalid_user is None
+
+
+def test_create_session(auth_service, auth_repo):
+    """Test session token creation"""
+    user = User(
+        username="testuser",
+        email="test@example.com",
+        password_hash=get_password_hash("testpassword123"),
+        auth_source="LOCAL"
+    )
+    
+    auth_repo.db.add(user)
+    auth_repo.db.commit()
+    
+    session = auth_service.create_session(user)
+    assert "access_token" in session
+    assert "token_type" in session
+    assert session["token_type"] == "bearer"
+    assert len(session["access_token"]) > 0
+
+
+def test_role_permission_association(auth_repo):
+    """Test role and permission association"""
+    role = Role(name="Admin", description="System administrator")
+    perm1 = Permission(resource="admin:users", action="READ")
+    perm2 = Permission(resource="admin:users", action="WRITE")
+    
+    role.permissions.extend([perm1, perm2])
+    
+    auth_repo.db.add(role)
+    auth_repo.db.commit()
+    
+    retrieved_role = auth_repo.get_role_by_name("Admin")
+    assert retrieved_role is not None
+    assert len(retrieved_role.permissions) == 2
+    
+    permissions = [f"{p.resource}:{p.action}" for p in retrieved_role.permissions]
+    assert "admin:users:READ" in permissions
+    assert "admin:users:WRITE" in permissions
+
+
+def test_user_role_association(auth_repo):
+    """Test user and role association"""
+    role = Role(name="Admin", description="System administrator")
+    user = User(
+        username="adminuser",
+        email="admin@example.com",
+        password_hash=get_password_hash("adminpass123"),
+        auth_source="LOCAL"
+    )
+    
+    user.roles.append(role)
+    
+    auth_repo.db.add(role)
+    auth_repo.db.add(user)
+    auth_repo.db.commit()
+    
+    retrieved_user = auth_repo.get_user_by_username("adminuser")
+    assert retrieved_user is not None
+    assert len(retrieved_user.roles) == 1
+    assert retrieved_user.roles[0].name == "Admin"
+
+
+def test_ad_group_mapping(auth_repo):
+    """Test AD group mapping"""
+    role = Role(name="ADFS_Admin", description="ADFS administrators")
+    
+    auth_repo.db.add(role)
+    auth_repo.db.commit()
+    
+    mapping = ADGroupMapping(ad_group="DOMAIN\\ADFS_Admins", role_id=role.id)
+    
+    auth_repo.db.add(mapping)
+    auth_repo.db.commit()
+    
+    retrieved_mapping = auth_repo.db.query(ADGroupMapping).filter_by(ad_group="DOMAIN\\ADFS_Admins").first()
+    assert retrieved_mapping is not None
+    assert retrieved_mapping.role_id == role.id
+
+
+# [/DEF:test_auth:Module]

backend/src/core/auth/config.py

@@ -10,7 +10,6 @@
 # [SECTION: IMPORTS]
 from pydantic import Field
 from pydantic_settings import BaseSettings
-import os
 # [/SECTION]
 
 # [DEF:AuthConfig:Class]
@@ -21,11 +20,14 @@ class AuthConfig(BaseSettings):
     # JWT Settings
     SECRET_KEY: str = Field(default="super-secret-key-change-in-production", env="AUTH_SECRET_KEY")
     ALGORITHM: str = "HS256"
-    ACCESS_TOKEN_EXPIRE_MINUTES: int = 30
+    ACCESS_TOKEN_EXPIRE_MINUTES: int = 480
     REFRESH_TOKEN_EXPIRE_DAYS: int = 7
 
     # Database Settings
-    AUTH_DATABASE_URL: str = Field(default="sqlite:///./backend/auth.db", env="AUTH_DATABASE_URL")
+    AUTH_DATABASE_URL: str = Field(
+        default="postgresql+psycopg2://postgres:postgres@localhost:5432/ss_tools",
+        env="AUTH_DATABASE_URL",
+    )
 
     # ADFS Settings
     ADFS_CLIENT_ID: str = Field(default="", env="ADFS_CLIENT_ID")
@@ -42,4 +44,4 @@ class AuthConfig(BaseSettings):
 auth_config = AuthConfig()
 # [/DEF:auth_config:Variable]
 
-# [/DEF:backend.src.core.auth.config:Module]
+# [/DEF:backend.src.core.auth.config:Module]

backend/src/core/auth/jwt.py

@@ -1,5 +1,6 @@
 # [DEF:backend.src.core.auth.jwt:Module]
 #
+# @TIER:      STANDARD
 # @SEMANTICS: jwt, token, session, auth
 # @PURPOSE:   JWT token generation and validation logic.
 # @LAYER:     Core
@@ -10,8 +11,8 @@
 
 # [SECTION: IMPORTS]
 from datetime import datetime, timedelta
-from typing import Optional, List
-from jose import JWTError, jwt
+from typing import Optional
+from jose import jwt
 from .config import auth_config
 from ..logger import belief_scope
 # [/SECTION]

backend/src/core/auth/logger.py

@@ -1,5 +1,6 @@
 # [DEF:backend.src.core.auth.logger:Module]
 #
+# @TIER:      STANDARD
 # @SEMANTICS: auth, logger, audit, security
 # @PURPOSE:   Audit logging for security-related events.
 # @LAYER:     Core

backend/src/core/auth/repository.py

@@ -11,7 +11,7 @@
 # [SECTION: IMPORTS]
 from typing import Optional, List
 from sqlalchemy.orm import Session
-from ...models.auth import User, Role, Permission, ADGroupMapping
+from ...models.auth import User, Role, Permission
 from ..logger import belief_scope
 # [/SECTION]
 

backend/src/core/auth/security.py

@@ -8,14 +8,9 @@
 # @INVARIANT: Uses bcrypt for hashing with standard work factor.
 
 # [SECTION: IMPORTS]
-from passlib.context import CryptContext
+import bcrypt
 # [/SECTION]
 
-# [DEF:pwd_context:Variable]
-# @PURPOSE: Passlib CryptContext for password management.
-pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
-# [/DEF:pwd_context:Variable]
-
 # [DEF:verify_password:Function]
 # @PURPOSE: Verifies a plain password against a hashed password.
 # @PRE:     plain_password is a string, hashed_password is a bcrypt hash.
@@ -25,7 +20,15 @@ pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
 # @PARAM:   hashed_password (str) - The stored hash.
 # @RETURN:  bool - Verification result.
 def verify_password(plain_password: str, hashed_password: str) -> bool:
-    return pwd_context.verify(plain_password, hashed_password)
+    if not hashed_password:
+        return False
+    try:
+        return bcrypt.checkpw(
+            plain_password.encode("utf-8"),
+            hashed_password.encode("utf-8"),
+        )
+    except Exception:
+        return False
 # [/DEF:verify_password:Function]
 
 # [DEF:get_password_hash:Function]
@@ -36,7 +39,7 @@ def verify_password(plain_password: str, hashed_password: str) -> bool:
 # @PARAM:   password (str) - The password to hash.
 # @RETURN:  str - The generated hash.
 def get_password_hash(password: str) -> str:
-    return pwd_context.hash(password)
+    return bcrypt.hashpw(password.encode("utf-8"), bcrypt.gensalt()).decode("utf-8")
 # [/DEF:get_password_hash:Function]
 
-# [/DEF:backend.src.core.auth.security:Module]
+# [/DEF:backend.src.core.auth.security:Module]

backend/src/core/config_manager.py

@@ -1,284 +1,286 @@
-# [DEF:ConfigManagerModule:Module]
-#
-# @SEMANTICS: config, manager, persistence, json
-# @PURPOSE:   Manages application configuration, including loading/saving to JSON and CRUD for environments.
-# @LAYER:     Core
-# @RELATION:  DEPENDS_ON -> ConfigModels
-# @RELATION:  CALLS -> logger
-# @RELATION:  WRITES_TO -> config.json
-#
-# @INVARIANT: Configuration must always be valid according to AppConfig model.
-# @PUBLIC_API: ConfigManager
-
-# [SECTION: IMPORTS]
-import json
-import os
-from pathlib import Path
-from typing import Optional, List
-from .config_models import AppConfig, Environment, GlobalSettings
-from .logger import logger, configure_logger, belief_scope
-# [/SECTION]
-
-# [DEF:ConfigManager:Class]
-# @PURPOSE: A class to handle application configuration persistence and management.
-# @RELATION: WRITES_TO -> config.json
-class ConfigManager:
-    
-    # [DEF:__init__:Function]
-    # @PURPOSE: Initializes the ConfigManager.
-    # @PRE: isinstance(config_path, str) and len(config_path) > 0
-    # @POST: self.config is an instance of AppConfig
-    # @PARAM: config_path (str) - Path to the configuration file.
-    def __init__(self, config_path: str = "config.json"):
-        with belief_scope("__init__"):
-            # 1. Runtime check of @PRE
-            assert isinstance(config_path, str) and config_path, "config_path must be a non-empty string"
-            
-            logger.info(f"[ConfigManager][Entry] Initializing with {config_path}")
-            
-            # 2. Logic implementation
-            self.config_path = Path(config_path)
-            self.config: AppConfig = self._load_config()
-
-            # Configure logger with loaded settings
-            configure_logger(self.config.settings.logging)
-
-            # 3. Runtime check of @POST
-            assert isinstance(self.config, AppConfig), "self.config must be an instance of AppConfig"
-
-            logger.info(f"[ConfigManager][Exit] Initialized")
-    # [/DEF:__init__:Function]
-
-    # [DEF:_load_config:Function]
-    # @PURPOSE: Loads the configuration from disk or creates a default one.
-    # @PRE: self.config_path is set.
-    # @POST: isinstance(return, AppConfig)
-    # @RETURN: AppConfig - The loaded or default configuration.
-    def _load_config(self) -> AppConfig:
-        with belief_scope("_load_config"):
-            logger.debug(f"[_load_config][Entry] Loading from {self.config_path}")
-        
-        if not self.config_path.exists():
-            logger.info(f"[_load_config][Action] Config file not found. Creating default.")
-            default_config = AppConfig(
-                environments=[],
-                settings=GlobalSettings()
-            )
-            self._save_config_to_disk(default_config)
-            return default_config
-        try:
-            with open(self.config_path, "r") as f:
-                data = json.load(f)
-                
-                # Check for deprecated field
-                if "settings" in data and "backup_path" in data["settings"]:
-                    del data["settings"]["backup_path"]
-
-                config = AppConfig(**data)
-                logger.info(f"[_load_config][Coherence:OK] Configuration loaded")
-                return config
-        except Exception as e:
-            logger.error(f"[_load_config][Coherence:Failed] Error loading config: {e}")
-            # Fallback but try to preserve existing settings if possible?
-            # For now, return default to be safe, but log the error prominently.
-            return AppConfig(
-                environments=[],
-                settings=GlobalSettings(storage=StorageConfig())
-            )
-    # [/DEF:_load_config:Function]
-
-    # [DEF:_save_config_to_disk:Function]
-    # @PURPOSE: Saves the provided configuration object to disk.
-    # @PRE: isinstance(config, AppConfig)
-    # @POST: Configuration saved to disk.
-    # @PARAM: config (AppConfig) - The configuration to save.
-    def _save_config_to_disk(self, config: AppConfig):
-        with belief_scope("_save_config_to_disk"):
-            logger.debug(f"[_save_config_to_disk][Entry] Saving to {self.config_path}")
-        
-        # 1. Runtime check of @PRE
-        assert isinstance(config, AppConfig), "config must be an instance of AppConfig"
-        
-        # 2. Logic implementation
-        try:
-            with open(self.config_path, "w") as f:
-                json.dump(config.dict(), f, indent=4)
-            logger.info(f"[_save_config_to_disk][Action] Configuration saved")
-        except Exception as e:
-            logger.error(f"[_save_config_to_disk][Coherence:Failed] Failed to save: {e}")
-    # [/DEF:_save_config_to_disk:Function]
-
-    # [DEF:save:Function]
-    # @PURPOSE: Saves the current configuration state to disk.
-    # @PRE: self.config is set.
-    # @POST: self._save_config_to_disk called.
-    def save(self):
-        with belief_scope("save"):
-            self._save_config_to_disk(self.config)
-    # [/DEF:save:Function]
-
-    # [DEF:get_config:Function]
-    # @PURPOSE: Returns the current configuration.
-    # @PRE: self.config is set.
-    # @POST: Returns self.config.
-    # @RETURN: AppConfig - The current configuration.
-    def get_config(self) -> AppConfig:
-        with belief_scope("get_config"):
-            return self.config
-    # [/DEF:get_config:Function]
-
-    # [DEF:update_global_settings:Function]
-    # @PURPOSE: Updates the global settings and persists the change.
-    # @PRE: isinstance(settings, GlobalSettings)
-    # @POST: self.config.settings updated and saved.
-    # @PARAM: settings (GlobalSettings) - The new global settings.
-    def update_global_settings(self, settings: GlobalSettings):
-        with belief_scope("update_global_settings"):
-            logger.info(f"[update_global_settings][Entry] Updating settings")
-        
-        # 1. Runtime check of @PRE
-        assert isinstance(settings, GlobalSettings), "settings must be an instance of GlobalSettings"
-        
-        # 2. Logic implementation
-        self.config.settings = settings
-        self.save()
-
-        # Reconfigure logger with new settings
-        configure_logger(settings.logging)
-
-        logger.info(f"[update_global_settings][Exit] Settings updated")
-    # [/DEF:update_global_settings:Function]
-
-    # [DEF:validate_path:Function]
-    # @PURPOSE: Validates if a path exists and is writable.
-    # @PRE: path is a string.
-    # @POST: Returns (bool, str) status.
-    # @PARAM: path (str) - The path to validate.
-    # @RETURN: tuple (bool, str) - (is_valid, message)
-    def validate_path(self, path: str) -> tuple[bool, str]:
-        with belief_scope("validate_path"):
-            p = os.path.abspath(path)
-        if not os.path.exists(p):
-            try:
-                os.makedirs(p, exist_ok=True)
-            except Exception as e:
-                return False, f"Path does not exist and could not be created: {e}"
-        
-        if not os.access(p, os.W_OK):
-            return False, "Path is not writable"
-            
-        return True, "Path is valid and writable"
-    # [/DEF:validate_path:Function]
-
-    # [DEF:get_environments:Function]
-    # @PURPOSE: Returns the list of configured environments.
-    # @PRE: self.config is set.
-    # @POST: Returns list of environments.
-    # @RETURN: List[Environment] - List of environments.
-    def get_environments(self) -> List[Environment]:
-        with belief_scope("get_environments"):
-            return self.config.environments
-    # [/DEF:get_environments:Function]
-
-    # [DEF:has_environments:Function]
-    # @PURPOSE: Checks if at least one environment is configured.
-    # @PRE: self.config is set.
-    # @POST: Returns boolean indicating if environments exist.
-    # @RETURN: bool - True if at least one environment exists.
-    def has_environments(self) -> bool:
-        with belief_scope("has_environments"):
-            return len(self.config.environments) > 0
-    # [/DEF:has_environments:Function]
-
-    # [DEF:get_environment:Function]
-    # @PURPOSE: Returns a single environment by ID.
-    # @PRE: self.config is set and isinstance(env_id, str) and len(env_id) > 0.
-    # @POST: Returns Environment object if found, None otherwise.
-    # @PARAM: env_id (str) - The ID of the environment to retrieve.
-    # @RETURN: Optional[Environment] - The environment with the given ID, or None.
-    def get_environment(self, env_id: str) -> Optional[Environment]:
-        with belief_scope("get_environment"):
-            for env in self.config.environments:
-                if env.id == env_id:
-                    return env
-            return None
-    # [/DEF:get_environment:Function]
-
-    # [DEF:add_environment:Function]
-    # @PURPOSE: Adds a new environment to the configuration.
-    # @PRE: isinstance(env, Environment)
-    # @POST: Environment added or updated in self.config.environments.
-    # @PARAM: env (Environment) - The environment to add.
-    def add_environment(self, env: Environment):
-        with belief_scope("add_environment"):
-            logger.info(f"[add_environment][Entry] Adding environment {env.id}")
-        
-        # 1. Runtime check of @PRE
-        assert isinstance(env, Environment), "env must be an instance of Environment"
-        
-        # 2. Logic implementation
-        # Check for duplicate ID and remove if exists
-        self.config.environments = [e for e in self.config.environments if e.id != env.id]
-        self.config.environments.append(env)
-        self.save()
-        
-        logger.info(f"[add_environment][Exit] Environment added")
-    # [/DEF:add_environment:Function]
-
-    # [DEF:update_environment:Function]
-    # @PURPOSE: Updates an existing environment.
-    # @PRE: isinstance(env_id, str) and len(env_id) > 0 and isinstance(updated_env, Environment)
-    # @POST: Returns True if environment was found and updated.
-    # @PARAM: env_id (str) - The ID of the environment to update.
-    # @PARAM: updated_env (Environment) - The updated environment data.
-    # @RETURN: bool - True if updated, False otherwise.
-    def update_environment(self, env_id: str, updated_env: Environment) -> bool:
-        with belief_scope("update_environment"):
-            logger.info(f"[update_environment][Entry] Updating {env_id}")
-        
-        # 1. Runtime check of @PRE
-        assert env_id and isinstance(env_id, str), "env_id must be a non-empty string"
-        assert isinstance(updated_env, Environment), "updated_env must be an instance of Environment"
-        
-        # 2. Logic implementation
-        for i, env in enumerate(self.config.environments):
-            if env.id == env_id:
-                # If password is masked, keep the old one
-                if updated_env.password == "********":
-                    updated_env.password = env.password
-                
-                self.config.environments[i] = updated_env
-                self.save()
-                logger.info(f"[update_environment][Coherence:OK] Updated {env_id}")
-                return True
-        
-        logger.warning(f"[update_environment][Coherence:Failed] Environment {env_id} not found")
-        return False
-    # [/DEF:update_environment:Function]
-
-    # [DEF:delete_environment:Function]
-    # @PURPOSE: Deletes an environment by ID.
-    # @PRE: isinstance(env_id, str) and len(env_id) > 0
-    # @POST: Environment removed from self.config.environments if it existed.
-    # @PARAM: env_id (str) - The ID of the environment to delete.
-    def delete_environment(self, env_id: str):
-        with belief_scope("delete_environment"):
-            logger.info(f"[delete_environment][Entry] Deleting {env_id}")
-        
-        # 1. Runtime check of @PRE
-        assert env_id and isinstance(env_id, str), "env_id must be a non-empty string"
-        
-        # 2. Logic implementation
-        original_count = len(self.config.environments)
-        self.config.environments = [e for e in self.config.environments if e.id != env_id]
-        
-        if len(self.config.environments) < original_count:
-            self.save()
-            logger.info(f"[delete_environment][Action] Deleted {env_id}")
-        else:
-            logger.warning(f"[delete_environment][Coherence:Failed] Environment {env_id} not found")
-    # [/DEF:delete_environment:Function]
-
-# [/DEF:ConfigManager:Class]
-
-# [/DEF:ConfigManagerModule:Module]
+# [DEF:ConfigManagerModule:Module]
+#
+# @TIER:      STANDARD
+# @SEMANTICS: config, manager, persistence, postgresql
+# @PURPOSE:   Manages application configuration persisted in database with one-time migration from JSON.
+# @LAYER:     Core
+# @RELATION:  DEPENDS_ON -> ConfigModels
+# @RELATION:  DEPENDS_ON -> AppConfigRecord
+# @RELATION:  CALLS -> logger
+#
+# @INVARIANT: Configuration must always be valid according to AppConfig model.
+# @PUBLIC_API: ConfigManager
+
+# [SECTION: IMPORTS]
+import json
+import os
+from pathlib import Path
+from typing import Optional, List
+
+from sqlalchemy.orm import Session
+
+from .config_models import AppConfig, Environment, GlobalSettings, StorageConfig
+from .database import SessionLocal
+from ..models.config import AppConfigRecord
+from .logger import logger, configure_logger, belief_scope
+# [/SECTION]
+
+
+# [DEF:ConfigManager:Class]
+# @TIER: STANDARD
+# @PURPOSE: A class to handle application configuration persistence and management.
+class ConfigManager:
+    # [DEF:__init__:Function]
+    # @TIER: STANDARD
+    # @PURPOSE: Initializes the ConfigManager.
+    # @PRE: isinstance(config_path, str) and len(config_path) > 0
+    # @POST: self.config is an instance of AppConfig
+    # @PARAM: config_path (str) - Path to legacy JSON config (used only for initial migration fallback).
+    def __init__(self, config_path: str = "config.json"):
+        with belief_scope("__init__"):
+            assert isinstance(config_path, str) and config_path, "config_path must be a non-empty string"
+
+            logger.info(f"[ConfigManager][Entry] Initializing with legacy path {config_path}")
+
+            self.config_path = Path(config_path)
+            self.config: AppConfig = self._load_config()
+
+            configure_logger(self.config.settings.logging)
+            assert isinstance(self.config, AppConfig), "self.config must be an instance of AppConfig"
+
+            logger.info("[ConfigManager][Exit] Initialized")
+    # [/DEF:__init__:Function]
+
+    # [DEF:_default_config:Function]
+    # @PURPOSE: Returns default application configuration.
+    # @RETURN: AppConfig - Default configuration.
+    def _default_config(self) -> AppConfig:
+        return AppConfig(
+            environments=[],
+            settings=GlobalSettings(storage=StorageConfig()),
+        )
+    # [/DEF:_default_config:Function]
+
+    # [DEF:_load_from_legacy_file:Function]
+    # @PURPOSE: Loads legacy configuration from config.json for migration fallback.
+    # @RETURN: AppConfig - Loaded or default configuration.
+    def _load_from_legacy_file(self) -> AppConfig:
+        with belief_scope("_load_from_legacy_file"):
+            if not self.config_path.exists():
+                logger.info("[_load_from_legacy_file][Action] Legacy config file not found, using defaults")
+                return self._default_config()
+
+            try:
+                with open(self.config_path, "r", encoding="utf-8") as f:
+                    data = json.load(f)
+                logger.info("[_load_from_legacy_file][Coherence:OK] Legacy configuration loaded")
+                return AppConfig(**data)
+            except Exception as e:
+                logger.error(f"[_load_from_legacy_file][Coherence:Failed] Error loading legacy config: {e}")
+                return self._default_config()
+    # [/DEF:_load_from_legacy_file:Function]
+
+    # [DEF:_get_record:Function]
+    # @PURPOSE: Loads config record from DB.
+    # @PARAM: session (Session) - DB session.
+    # @RETURN: Optional[AppConfigRecord] - Existing record or None.
+    def _get_record(self, session: Session) -> Optional[AppConfigRecord]:
+        return session.query(AppConfigRecord).filter(AppConfigRecord.id == "global").first()
+    # [/DEF:_get_record:Function]
+
+    # [DEF:_load_config:Function]
+    # @PURPOSE: Loads the configuration from DB or performs one-time migration from JSON file.
+    # @PRE: DB session factory is available.
+    # @POST: isinstance(return, AppConfig)
+    # @RETURN: AppConfig - Loaded configuration.
+    def _load_config(self) -> AppConfig:
+        with belief_scope("_load_config"):
+            session: Session = SessionLocal()
+            try:
+                record = self._get_record(session)
+                if record and record.payload:
+                    logger.info("[_load_config][Coherence:OK] Configuration loaded from database")
+                    return AppConfig(**record.payload)
+
+                logger.info("[_load_config][Action] No database config found, migrating legacy config")
+                config = self._load_from_legacy_file()
+                self._save_config_to_db(config, session=session)
+                return config
+            except Exception as e:
+                logger.error(f"[_load_config][Coherence:Failed] Error loading config from DB: {e}")
+                return self._default_config()
+            finally:
+                session.close()
+    # [/DEF:_load_config:Function]
+
+    # [DEF:_save_config_to_db:Function]
+    # @PURPOSE: Saves the provided configuration object to DB.
+    # @PRE: isinstance(config, AppConfig)
+    # @POST: Configuration saved to database.
+    # @PARAM: config (AppConfig) - The configuration to save.
+    # @PARAM: session (Optional[Session]) - Existing DB session for transactional reuse.
+    def _save_config_to_db(self, config: AppConfig, session: Optional[Session] = None):
+        with belief_scope("_save_config_to_db"):
+            assert isinstance(config, AppConfig), "config must be an instance of AppConfig"
+
+            owns_session = session is None
+            db = session or SessionLocal()
+            try:
+                record = self._get_record(db)
+                payload = config.model_dump()
+                if record is None:
+                    record = AppConfigRecord(id="global", payload=payload)
+                    db.add(record)
+                else:
+                    record.payload = payload
+                db.commit()
+                logger.info("[_save_config_to_db][Action] Configuration saved to database")
+            except Exception as e:
+                db.rollback()
+                logger.error(f"[_save_config_to_db][Coherence:Failed] Failed to save: {e}")
+                raise
+            finally:
+                if owns_session:
+                    db.close()
+    # [/DEF:_save_config_to_db:Function]
+
+    # [DEF:save:Function]
+    # @PURPOSE: Saves the current configuration state to DB.
+    # @PRE: self.config is set.
+    # @POST: self._save_config_to_db called.
+    def save(self):
+        with belief_scope("save"):
+            self._save_config_to_db(self.config)
+    # [/DEF:save:Function]
+
+    # [DEF:get_config:Function]
+    # @PURPOSE: Returns the current configuration.
+    # @RETURN: AppConfig - The current configuration.
+    def get_config(self) -> AppConfig:
+        with belief_scope("get_config"):
+            return self.config
+    # [/DEF:get_config:Function]
+
+    # [DEF:update_global_settings:Function]
+    # @PURPOSE: Updates the global settings and persists the change.
+    # @PRE: isinstance(settings, GlobalSettings)
+    # @POST: self.config.settings updated and saved.
+    # @PARAM: settings (GlobalSettings) - The new global settings.
+    def update_global_settings(self, settings: GlobalSettings):
+        with belief_scope("update_global_settings"):
+            logger.info("[update_global_settings][Entry] Updating settings")
+
+            assert isinstance(settings, GlobalSettings), "settings must be an instance of GlobalSettings"
+            self.config.settings = settings
+            self.save()
+            configure_logger(settings.logging)
+            logger.info("[update_global_settings][Exit] Settings updated")
+    # [/DEF:update_global_settings:Function]
+
+    # [DEF:validate_path:Function]
+    # @PURPOSE: Validates if a path exists and is writable.
+    # @PARAM: path (str) - The path to validate.
+    # @RETURN: tuple (bool, str) - (is_valid, message)
+    def validate_path(self, path: str) -> tuple[bool, str]:
+        with belief_scope("validate_path"):
+            p = os.path.abspath(path)
+            if not os.path.exists(p):
+                try:
+                    os.makedirs(p, exist_ok=True)
+                except Exception as e:
+                    return False, f"Path does not exist and could not be created: {e}"
+
+            if not os.access(p, os.W_OK):
+                return False, "Path is not writable"
+
+            return True, "Path is valid and writable"
+    # [/DEF:validate_path:Function]
+
+    # [DEF:get_environments:Function]
+    # @PURPOSE: Returns the list of configured environments.
+    # @RETURN: List[Environment] - List of environments.
+    def get_environments(self) -> List[Environment]:
+        with belief_scope("get_environments"):
+            return self.config.environments
+    # [/DEF:get_environments:Function]
+
+    # [DEF:has_environments:Function]
+    # @PURPOSE: Checks if at least one environment is configured.
+    # @RETURN: bool - True if at least one environment exists.
+    def has_environments(self) -> bool:
+        with belief_scope("has_environments"):
+            return len(self.config.environments) > 0
+    # [/DEF:has_environments:Function]
+
+    # [DEF:get_environment:Function]
+    # @PURPOSE: Returns a single environment by ID.
+    # @PARAM: env_id (str) - The ID of the environment to retrieve.
+    # @RETURN: Optional[Environment] - The environment with the given ID, or None.
+    def get_environment(self, env_id: str) -> Optional[Environment]:
+        with belief_scope("get_environment"):
+            for env in self.config.environments:
+                if env.id == env_id:
+                    return env
+            return None
+    # [/DEF:get_environment:Function]
+
+    # [DEF:add_environment:Function]
+    # @PURPOSE: Adds a new environment to the configuration.
+    # @PARAM: env (Environment) - The environment to add.
+    def add_environment(self, env: Environment):
+        with belief_scope("add_environment"):
+            logger.info(f"[add_environment][Entry] Adding environment {env.id}")
+            assert isinstance(env, Environment), "env must be an instance of Environment"
+
+            self.config.environments = [e for e in self.config.environments if e.id != env.id]
+            self.config.environments.append(env)
+            self.save()
+            logger.info("[add_environment][Exit] Environment added")
+    # [/DEF:add_environment:Function]
+
+    # [DEF:update_environment:Function]
+    # @PURPOSE: Updates an existing environment.
+    # @PARAM: env_id (str) - The ID of the environment to update.
+    # @PARAM: updated_env (Environment) - The updated environment data.
+    # @RETURN: bool - True if updated, False otherwise.
+    def update_environment(self, env_id: str, updated_env: Environment) -> bool:
+        with belief_scope("update_environment"):
+            logger.info(f"[update_environment][Entry] Updating {env_id}")
+            assert env_id and isinstance(env_id, str), "env_id must be a non-empty string"
+            assert isinstance(updated_env, Environment), "updated_env must be an instance of Environment"
+
+            for i, env in enumerate(self.config.environments):
+                if env.id == env_id:
+                    if updated_env.password == "********":
+                        updated_env.password = env.password
+
+                    self.config.environments[i] = updated_env
+                    self.save()
+                    logger.info(f"[update_environment][Coherence:OK] Updated {env_id}")
+                    return True
+
+            logger.warning(f"[update_environment][Coherence:Failed] Environment {env_id} not found")
+            return False
+    # [/DEF:update_environment:Function]
+
+    # [DEF:delete_environment:Function]
+    # @PURPOSE: Deletes an environment by ID.
+    # @PARAM: env_id (str) - The ID of the environment to delete.
+    def delete_environment(self, env_id: str):
+        with belief_scope("delete_environment"):
+            logger.info(f"[delete_environment][Entry] Deleting {env_id}")
+            assert env_id and isinstance(env_id, str), "env_id must be a non-empty string"
+
+            original_count = len(self.config.environments)
+            self.config.environments = [e for e in self.config.environments if e.id != env_id]
+
+            if len(self.config.environments) < original_count:
+                self.save()
+                logger.info(f"[delete_environment][Action] Deleted {env_id}")
+            else:
+                logger.warning(f"[delete_environment][Coherence:Failed] Environment {env_id} not found")
+    # [/DEF:delete_environment:Function]
+
+
+# [/DEF:ConfigManager:Class]
+# [/DEF:ConfigManagerModule:Module]

backend/src/core/config_models.py

@@ -1,13 +1,19 @@
 # [DEF:ConfigModels:Module]
+# @TIER: STANDARD
 # @SEMANTICS: config, models, pydantic
 # @PURPOSE: Defines the data models for application configuration using Pydantic.
 # @LAYER: Core
-# @RELATION: READS_FROM -> config.json
+# @RELATION: READS_FROM -> app_configurations (database)
 # @RELATION: USED_BY -> ConfigManager
 
-from pydantic import BaseModel, Field
-from typing import List, Optional
-from ..models.storage import StorageConfig
+from pydantic import BaseModel, Field
+from typing import List, Optional
+from ..models.storage import StorageConfig
+from ..services.llm_prompt_templates import (
+    DEFAULT_LLM_ASSISTANT_SETTINGS,
+    DEFAULT_LLM_PROMPTS,
+    DEFAULT_LLM_PROVIDER_BINDINGS,
+)
 
 # [DEF:Schedule:DataClass]
 # @PURPOSE: Represents a backup schedule configuration.
@@ -32,9 +38,10 @@ class Environment(BaseModel):
 
 # [DEF:LoggingConfig:DataClass]
 # @PURPOSE: Defines the configuration for the application's logging system.
-class LoggingConfig(BaseModel):
-    level: str = "INFO"
-    file_path: Optional[str] = "logs/app.log"
+class LoggingConfig(BaseModel):
+    level: str = "INFO"
+    task_log_level: str = "INFO"  # Minimum level for task-specific logs (DEBUG, INFO, WARNING, ERROR)
+    file_path: Optional[str] = None
     max_bytes: int = 10 * 1024 * 1024
     backup_count: int = 5
     enable_belief_state: bool = True
@@ -42,10 +49,20 @@ class LoggingConfig(BaseModel):
 
 # [DEF:GlobalSettings:DataClass]
 # @PURPOSE: Represents global application settings.
-class GlobalSettings(BaseModel):
+class GlobalSettings(BaseModel):
     storage: StorageConfig = Field(default_factory=StorageConfig)
     default_environment_id: Optional[str] = None
     logging: LoggingConfig = Field(default_factory=LoggingConfig)
+    connections: List[dict] = []
+    llm: dict = Field(
+        default_factory=lambda: {
+            "providers": [],
+            "default_provider": "",
+            "prompts": dict(DEFAULT_LLM_PROMPTS),
+            "provider_bindings": dict(DEFAULT_LLM_PROVIDER_BINDINGS),
+            **dict(DEFAULT_LLM_ASSISTANT_SETTINGS),
+        }
+    )
     
     # Task retention settings
     task_retention_days: int = 30

backend/src/core/database.py

@@ -1,71 +1,94 @@
 # [DEF:backend.src.core.database:Module]
 #
-# @SEMANTICS: database, sqlite, sqlalchemy, session, persistence
-# @PURPOSE:   Configures the SQLite database connection and session management.
+# @TIER:      STANDARD
+# @SEMANTICS: database, postgresql, sqlalchemy, session, persistence
+# @PURPOSE:   Configures database connection and session management (PostgreSQL-first).
 # @LAYER:     Core
 # @RELATION:  DEPENDS_ON -> sqlalchemy
-# @RELATION:  USES -> backend.src.models.mapping
-# @RELATION:  USES -> backend.src.core.auth.config
+# @RELATION:  DEPENDS_ON -> backend.src.models.mapping
+# @RELATION:  DEPENDS_ON -> backend.src.core.auth.config
 #
 # @INVARIANT: A single engine instance is used for the entire application.
 
 # [SECTION: IMPORTS]
 from sqlalchemy import create_engine
-from sqlalchemy.orm import sessionmaker, Session
+from sqlalchemy.orm import sessionmaker
 from ..models.mapping import Base
 # Import models to ensure they're registered with Base
-from ..models.task import TaskRecord
-from ..models.connection import ConnectionConfig
-from ..models.git import GitServerConfig, GitRepository, DeploymentEnvironment
-from ..models.auth import User, Role, Permission, ADGroupMapping
+from ..models import task as _task_models  # noqa: F401
+from ..models import auth as _auth_models  # noqa: F401
+from ..models import config as _config_models  # noqa: F401
+from ..models import llm as _llm_models  # noqa: F401
+from ..models import assistant as _assistant_models  # noqa: F401
 from .logger import belief_scope
 from .auth.config import auth_config
 import os
+from pathlib import Path
 # [/SECTION]
 
+# [DEF:BASE_DIR:Variable]
+# @PURPOSE: Base directory for the backend.
+BASE_DIR = Path(__file__).resolve().parent.parent.parent
+# [/DEF:BASE_DIR:Variable]
+
 # [DEF:DATABASE_URL:Constant]
-# @PURPOSE: URL for the main mappings database.
-DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:///./mappings.db")
+# @PURPOSE: URL for the main application database.
+DEFAULT_POSTGRES_URL = os.getenv(
+    "POSTGRES_URL",
+    "postgresql+psycopg2://postgres:postgres@localhost:5432/ss_tools",
+)
+DATABASE_URL = os.getenv("DATABASE_URL", DEFAULT_POSTGRES_URL)
 # [/DEF:DATABASE_URL:Constant]
 
 # [DEF:TASKS_DATABASE_URL:Constant]
 # @PURPOSE: URL for the tasks execution database.
-TASKS_DATABASE_URL = os.getenv("TASKS_DATABASE_URL", "sqlite:///./tasks.db")
+# Defaults to DATABASE_URL to keep task logs in the same PostgreSQL instance.
+TASKS_DATABASE_URL = os.getenv("TASKS_DATABASE_URL", DATABASE_URL)
 # [/DEF:TASKS_DATABASE_URL:Constant]
 
 # [DEF:AUTH_DATABASE_URL:Constant]
 # @PURPOSE: URL for the authentication database.
-AUTH_DATABASE_URL = auth_config.AUTH_DATABASE_URL
+AUTH_DATABASE_URL = os.getenv("AUTH_DATABASE_URL", auth_config.AUTH_DATABASE_URL)
 # [/DEF:AUTH_DATABASE_URL:Constant]
 
 # [DEF:engine:Variable]
+def _build_engine(db_url: str):
+    with belief_scope("_build_engine"):
+        if db_url.startswith("sqlite"):
+            return create_engine(db_url, connect_args={"check_same_thread": False})
+        return create_engine(db_url, pool_pre_ping=True)
+
+
 # @PURPOSE: SQLAlchemy engine for mappings database.
-engine = create_engine(DATABASE_URL, connect_args={"check_same_thread": False})
+engine = _build_engine(DATABASE_URL)
 # [/DEF:engine:Variable]
 
 # [DEF:tasks_engine:Variable]
 # @PURPOSE: SQLAlchemy engine for tasks database.
-tasks_engine = create_engine(TASKS_DATABASE_URL, connect_args={"check_same_thread": False})
+tasks_engine = _build_engine(TASKS_DATABASE_URL)
 # [/DEF:tasks_engine:Variable]
 
 # [DEF:auth_engine:Variable]
 # @PURPOSE: SQLAlchemy engine for authentication database.
-auth_engine = create_engine(AUTH_DATABASE_URL, connect_args={"check_same_thread": False})
+auth_engine = _build_engine(AUTH_DATABASE_URL)
 # [/DEF:auth_engine:Variable]
 
 # [DEF:SessionLocal:Class]
+# @TIER: TRIVIAL
 # @PURPOSE: A session factory for the main mappings database.
 # @PRE: engine is initialized.
 SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
 # [/DEF:SessionLocal:Class]
 
 # [DEF:TasksSessionLocal:Class]
+# @TIER: TRIVIAL
 # @PURPOSE: A session factory for the tasks execution database.
 # @PRE: tasks_engine is initialized.
 TasksSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=tasks_engine)
 # [/DEF:TasksSessionLocal:Class]
 
 # [DEF:AuthSessionLocal:Class]
+# @TIER: TRIVIAL
 # @PURPOSE: A session factory for the authentication database.
 # @PRE: auth_engine is initialized.
 AuthSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=auth_engine)

backend/src/core/logger.py

@@ -19,6 +19,9 @@ _belief_state = threading.local()
 # Global flag for belief state logging
 _enable_belief_state = True
 
+# Global task log level filter
+_task_log_level = "INFO"
+
 # [DEF:BeliefFormatter:Class]
 # @PURPOSE: Custom logging formatter that adds belief state prefixes to log messages.
 class BeliefFormatter(logging.Formatter):
@@ -32,7 +35,19 @@ class BeliefFormatter(logging.Formatter):
     def format(self, record):
         anchor_id = getattr(_belief_state, 'anchor_id', None)
         if anchor_id:
-            record.msg = f"[{anchor_id}][Action] {record.msg}"
+            msg = str(record.msg)
+            # Supported molecular topology markers
+            markers = ("[EXPLORE]", "[REASON]", "[REFLECT]", "[COHERENCE:", "[Action]", "[Entry]", "[Exit]")
+            
+            # Avoid duplicating anchor or overriding explicit markers
+            if msg.startswith(f"[{anchor_id}]"):
+                pass
+            elif any(msg.startswith(m) for m in markers):
+                record.msg = f"[{anchor_id}]{msg}"
+            else:
+                # Default covalent bond
+                record.msg = f"[{anchor_id}][Action] {msg}"
+                
         return super().format(record)
     # [/DEF:format:Function]
 # [/DEF:BeliefFormatter:Class]
@@ -58,12 +73,12 @@ class LogEntry(BaseModel):
 # @SEMANTICS: logging, context, belief_state
 @contextmanager
 def belief_scope(anchor_id: str, message: str = ""):
-    # Log Entry if enabled
+    # Log Entry if enabled (DEBUG level to reduce noise)
     if _enable_belief_state:
         entry_msg = f"[{anchor_id}][Entry]"
         if message:
             entry_msg += f" {message}"
-        logger.info(entry_msg)
+        logger.debug(entry_msg)
 
     # Set thread-local anchor_id
     old_anchor = getattr(_belief_state, 'anchor_id', None)
@@ -71,13 +86,13 @@ def belief_scope(anchor_id: str, message: str = ""):
 
     try:
         yield
-        # Log Coherence OK and Exit
-        logger.info(f"[{anchor_id}][Coherence:OK]")
+        # Log Coherence OK and Exit (DEBUG level to reduce noise)
+        logger.debug("[COHERENCE:OK]")
         if _enable_belief_state:
-            logger.info(f"[{anchor_id}][Exit]")
+            logger.debug("[Exit]")
     except Exception as e:
-        # Log Coherence Failed
-        logger.info(f"[{anchor_id}][Coherence:Failed] {str(e)}")
+        # Log Coherence Failed (DEBUG level to reduce noise)
+        logger.debug(f"[COHERENCE:FAILED] {str(e)}")
         raise
     finally:
         # Restore old anchor
@@ -88,12 +103,13 @@ def belief_scope(anchor_id: str, message: str = ""):
 # [DEF:configure_logger:Function]
 # @PURPOSE: Configures the logger with the provided logging settings.
 # @PRE: config is a valid LoggingConfig instance.
-# @POST: Logger level, handlers, and belief state flag are updated.
+# @POST: Logger level, handlers, belief state flag, and task log level are updated.
 # @PARAM: config (LoggingConfig) - The logging configuration.
 # @SEMANTICS: logging, configuration, initialization
 def configure_logger(config):
-    global _enable_belief_state
+    global _enable_belief_state, _task_log_level
     _enable_belief_state = config.enable_belief_state
+    _task_log_level = config.task_log_level.upper()
 
     # Set logger level
     level = getattr(logging, config.level.upper(), logging.INFO)
@@ -107,7 +123,6 @@ def configure_logger(config):
 
     # Add file handler if file_path is set
     if config.file_path:
-        import os
         from pathlib import Path
         log_file = Path(config.file_path)
         log_file.parent.mkdir(parents=True, exist_ok=True)
@@ -130,6 +145,36 @@ def configure_logger(config):
             ))
 # [/DEF:configure_logger:Function]
 
+# [DEF:get_task_log_level:Function]
+# @PURPOSE: Returns the current task log level filter.
+# @PRE: None.
+# @POST: Returns the task log level string.
+# @RETURN: str - The current task log level (DEBUG, INFO, WARNING, ERROR).
+# @SEMANTICS: logging, configuration, getter
+def get_task_log_level() -> str:
+    """Returns the current task log level filter."""
+    return _task_log_level
+# [/DEF:get_task_log_level:Function]
+
+# [DEF:should_log_task_level:Function]
+# @PURPOSE: Checks if a log level should be recorded based on task_log_level setting.
+# @PRE: level is a valid log level string.
+# @POST: Returns True if level meets or exceeds task_log_level threshold.
+# @PARAM: level (str) - The log level to check.
+# @RETURN: bool - True if the level should be logged.
+# @SEMANTICS: logging, filter, level
+def should_log_task_level(level: str) -> bool:
+    """Checks if a log level should be recorded based on task_log_level setting."""
+    level_order = {"DEBUG": 0, "INFO": 1, "WARNING": 2, "ERROR": 3}
+    current_level = _task_log_level.upper()
+    check_level = level.upper()
+    
+    current_order = level_order.get(current_level, 1)  # Default to INFO
+    check_order = level_order.get(check_level, 1)
+    
+    return check_order >= current_order
+# [/DEF:should_log_task_level:Function]
+
 # [DEF:WebSocketLogHandler:Class]
 # @SEMANTICS: logging, handler, websocket, buffer
 # @PURPOSE: A custom logging handler that captures log records into a buffer. It is designed to be extended for real-time log streaming over WebSockets.
@@ -242,5 +287,33 @@ logger.addHandler(websocket_log_handler)
 # Example usage:
 # logger.info("Application started", extra={"context_key": "context_value"})
 # logger.error("An error occurred", exc_info=True)
+
+import types
+
+# [DEF:explore:Function]
+# @PURPOSE: Logs an EXPLORE message (Van der Waals force) for searching, alternatives, and hypotheses.
+# @SEMANTICS: log, explore, molecule
+def explore(self, msg, *args, **kwargs):
+    self.warning(f"[EXPLORE] {msg}", *args, **kwargs)
+# [/DEF:explore:Function]
+
+# [DEF:reason:Function]
+# @PURPOSE: Logs a REASON message (Covalent bond) for strict deduction and core logic.
+# @SEMANTICS: log, reason, molecule
+def reason(self, msg, *args, **kwargs):
+    self.info(f"[REASON] {msg}", *args, **kwargs)
+# [/DEF:reason:Function]
+
+# [DEF:reflect:Function]
+# @PURPOSE: Logs a REFLECT message (Hydrogen bond) for self-check and structural validation.
+# @SEMANTICS: log, reflect, molecule
+def reflect(self, msg, *args, **kwargs):
+    self.debug(f"[REFLECT] {msg}", *args, **kwargs)
+# [/DEF:reflect:Function]
+
+logger.explore = types.MethodType(explore, logger)
+logger.reason = types.MethodType(reason, logger)
+logger.reflect = types.MethodType(reflect, logger)
+
 # [/DEF:Logger:Global]
 # [/DEF:LoggerModule:Module]

backend/src/core/logger/__tests__/test_logger.py

@@ -0,0 +1,281 @@
+# [DEF:test_logger:Module]
+# @TIER: STANDARD
+# @PURPOSE: Unit tests for logger module
+# @LAYER: Infra
+# @RELATION: VERIFIES -> src.core.logger
+
+import sys
+from pathlib import Path
+
+# Add src to path
+sys.path.append(str(Path(__file__).parent.parent.parent.parent / "src"))
+
+import pytest
+import logging
+from src.core.logger import (
+    belief_scope,
+    logger,
+    configure_logger,
+    get_task_log_level,
+    should_log_task_level
+)
+from src.core.config_models import LoggingConfig
+
+
+@pytest.fixture(autouse=True)
+def reset_logger_state():
+    """Reset logger state before each test to avoid cross-test contamination."""
+    config = LoggingConfig(
+        level="INFO",
+        task_log_level="INFO",
+        enable_belief_state=True
+    )
+    configure_logger(config)
+    # Also reset the logger level for caplog to work correctly
+    logging.getLogger("superset_tools_app").setLevel(logging.DEBUG)
+    yield
+    # Reset after test too
+    config = LoggingConfig(
+        level="INFO",
+        task_log_level="INFO",
+        enable_belief_state=True
+    )
+    configure_logger(config)
+
+
+# [DEF:test_belief_scope_logs_entry_action_exit_at_debug:Function]
+# @PURPOSE: Test that belief_scope generates [ID][Entry], [ID][Action], and [ID][Exit] logs at DEBUG level.
+# @PRE: belief_scope is available. caplog fixture is used. Logger configured to DEBUG.
+# @POST: Logs are verified to contain Entry, Action, and Exit tags at DEBUG level.
+def test_belief_scope_logs_entry_action_exit_at_debug(caplog):
+    """Test that belief_scope generates [ID][Entry], [ID][Action], and [ID][Exit] logs at DEBUG level."""
+    # Configure logger to DEBUG level
+    config = LoggingConfig(
+        level="DEBUG",
+        task_log_level="DEBUG",
+        enable_belief_state=True
+    )
+    configure_logger(config)
+    
+    caplog.set_level("DEBUG")
+
+    with belief_scope("TestFunction"):
+        logger.info("Doing something important")
+
+    # Check that the logs contain the expected patterns
+    log_messages = [record.message for record in caplog.records]
+
+    assert any("[TestFunction][Entry]" in msg for msg in log_messages), "Entry log not found"
+    assert any("[TestFunction][Action] Doing something important" in msg for msg in log_messages), "Action log not found"
+    assert any("[TestFunction][Exit]" in msg for msg in log_messages), "Exit log not found"
+    
+    # Reset to INFO
+    config = LoggingConfig(level="INFO", task_log_level="INFO", enable_belief_state=True)
+    configure_logger(config)
+# [/DEF:test_belief_scope_logs_entry_action_exit_at_debug:Function]
+
+
+# [DEF:test_belief_scope_error_handling:Function]
+# @PURPOSE: Test that belief_scope logs Coherence:Failed on exception.
+# @PRE: belief_scope is available. caplog fixture is used. Logger configured to DEBUG.
+# @POST: Logs are verified to contain Coherence:Failed tag.
+def test_belief_scope_error_handling(caplog):
+    """Test that belief_scope logs Coherence:Failed on exception."""
+    # Configure logger to DEBUG level
+    config = LoggingConfig(
+        level="DEBUG",
+        task_log_level="DEBUG",
+        enable_belief_state=True
+    )
+    configure_logger(config)
+    
+    caplog.set_level("DEBUG")
+
+    with pytest.raises(ValueError):
+        with belief_scope("FailingFunction"):
+            raise ValueError("Something went wrong")
+
+    log_messages = [record.message for record in caplog.records]
+
+    assert any("[FailingFunction][Entry]" in msg for msg in log_messages), "Entry log not found"
+    assert any("[FailingFunction][COHERENCE:FAILED]" in msg for msg in log_messages), "Failed coherence log not found"
+    # Exit should not be logged on failure
+    
+    # Reset to INFO
+    config = LoggingConfig(level="INFO", task_log_level="INFO", enable_belief_state=True)
+    configure_logger(config)
+# [/DEF:test_belief_scope_error_handling:Function]
+
+
+# [DEF:test_belief_scope_success_coherence:Function]
+# @PURPOSE: Test that belief_scope logs Coherence:OK on success.
+# @PRE: belief_scope is available. caplog fixture is used. Logger configured to DEBUG.
+# @POST: Logs are verified to contain Coherence:OK tag.
+def test_belief_scope_success_coherence(caplog):
+    """Test that belief_scope logs Coherence:OK on success."""
+    # Configure logger to DEBUG level
+    config = LoggingConfig(
+        level="DEBUG",
+        task_log_level="DEBUG",
+        enable_belief_state=True
+    )
+    configure_logger(config)
+    
+    caplog.set_level("DEBUG")
+
+    with belief_scope("SuccessFunction"):
+        pass
+
+    log_messages = [record.message for record in caplog.records]
+
+    assert any("[SuccessFunction][COHERENCE:OK]" in msg for msg in log_messages), "Success coherence log not found"
+    
+
+# [/DEF:test_belief_scope_success_coherence:Function]
+
+
+# [DEF:test_belief_scope_not_visible_at_info:Function]
+# @PURPOSE: Test that belief_scope Entry/Exit/Coherence logs are NOT visible at INFO level.
+# @PRE: belief_scope is available. caplog fixture is used.
+# @POST: Entry/Exit/Coherence logs are not captured at INFO level.
+def test_belief_scope_not_visible_at_info(caplog):
+    """Test that belief_scope Entry/Exit/Coherence logs are NOT visible at INFO level."""
+    caplog.set_level("INFO")
+
+    with belief_scope("InfoLevelFunction"):
+        logger.info("Doing something important")
+
+    log_messages = [record.message for record in caplog.records]
+
+    # Action log should be visible
+    assert any("[InfoLevelFunction][Action] Doing something important" in msg for msg in log_messages), "Action log not found"
+    # Entry/Exit/Coherence should NOT be visible at INFO level
+    assert not any("[InfoLevelFunction][Entry]" in msg for msg in log_messages), "Entry log should not be visible at INFO"
+    assert not any("[InfoLevelFunction][Exit]" in msg for msg in log_messages), "Exit log should not be visible at INFO"
+    assert not any("[InfoLevelFunction][COHERENCE:OK]" in msg for msg in log_messages), "Coherence log should not be visible at INFO"
+# [/DEF:test_belief_scope_not_visible_at_info:Function]
+
+
+# [DEF:test_task_log_level_default:Function]
+# @PURPOSE: Test that default task log level is INFO.
+# @PRE: None.
+# @POST: Default level is INFO.
+def test_task_log_level_default():
+    """Test that default task log level is INFO (after reset fixture)."""
+    level = get_task_log_level()
+    assert level == "INFO"
+# [/DEF:test_task_log_level_default:Function]
+
+
+# [DEF:test_should_log_task_level:Function]
+# @PURPOSE: Test that should_log_task_level correctly filters log levels.
+# @PRE: None.
+# @POST: Filtering works correctly for all level combinations.
+def test_should_log_task_level():
+    """Test that should_log_task_level correctly filters log levels."""
+    # Default level is INFO
+    assert should_log_task_level("ERROR") is True, "ERROR should be logged at INFO threshold"
+    assert should_log_task_level("WARNING") is True, "WARNING should be logged at INFO threshold"
+    assert should_log_task_level("INFO") is True, "INFO should be logged at INFO threshold"
+    assert should_log_task_level("DEBUG") is False, "DEBUG should NOT be logged at INFO threshold"
+# [/DEF:test_should_log_task_level:Function]
+
+
+# [DEF:test_configure_logger_task_log_level:Function]
+# @PURPOSE: Test that configure_logger updates task_log_level.
+# @PRE: LoggingConfig is available.
+# @POST: task_log_level is updated correctly.
+def test_configure_logger_task_log_level():
+    """Test that configure_logger updates task_log_level."""
+    config = LoggingConfig(
+        level="DEBUG",
+        task_log_level="DEBUG",
+        enable_belief_state=True
+    )
+    configure_logger(config)
+    
+    assert get_task_log_level() == "DEBUG", "task_log_level should be DEBUG"
+    assert should_log_task_level("DEBUG") is True, "DEBUG should be logged at DEBUG threshold"
+# [/DEF:test_configure_logger_task_log_level:Function]
+
+
+# [DEF:test_enable_belief_state_flag:Function]
+# @PURPOSE: Test that enable_belief_state flag controls belief_scope logging.
+# @PRE: LoggingConfig is available. caplog fixture is used.
+# @POST: belief_scope logs are controlled by the flag.
+def test_enable_belief_state_flag(caplog):
+    """Test that enable_belief_state flag controls belief_scope logging."""
+    # Disable belief state
+    config = LoggingConfig(
+        level="DEBUG",
+        task_log_level="DEBUG",
+        enable_belief_state=False
+    )
+    configure_logger(config)
+    
+    caplog.set_level("DEBUG")
+    
+    with belief_scope("DisabledFunction"):
+        logger.info("Doing something")
+    
+    log_messages = [record.message for record in caplog.records]
+    
+    # Entry and Exit should NOT be logged when disabled
+    assert not any("[DisabledFunction][Entry]" in msg for msg in log_messages), "Entry should not be logged when disabled"
+    assert not any("[DisabledFunction][Exit]" in msg for msg in log_messages), "Exit should not be logged when disabled"
+    # Coherence:OK should still be logged (internal tracking)
+    assert any("[DisabledFunction][COHERENCE:OK]" in msg for msg in log_messages), "Coherence should still be logged"
+    
+
+
+# [DEF:test_belief_scope_missing_anchor:Function]
+# @PURPOSE: Test @PRE condition: anchor_id must be provided
+def test_belief_scope_missing_anchor():
+    """Test that belief_scope enforces anchor_id to be provided."""
+    import pytest
+    from src.core.logger import belief_scope
+    with pytest.raises(TypeError):
+        # Missing required positional argument 'anchor_id'
+        with belief_scope():
+            pass
+# [/DEF:test_belief_scope_missing_anchor:Function]
+
+# [DEF:test_configure_logger_post_conditions:Function]
+# @PURPOSE: Test @POST condition: Logger level, handlers, belief state flag, and task log level are updated.
+def test_configure_logger_post_conditions(tmp_path):
+    """Test that configure_logger satisfies all @POST conditions."""
+    import logging
+    from logging.handlers import RotatingFileHandler
+    from src.core.config_models import LoggingConfig
+    from src.core.logger import configure_logger, logger, BeliefFormatter, get_task_log_level
+    import src.core.logger as logger_module
+
+    log_file = tmp_path / "test.log"
+    config = LoggingConfig(
+        level="WARNING",
+        task_log_level="DEBUG",
+        enable_belief_state=False,
+        file_path=str(log_file)
+    )
+    
+    configure_logger(config)
+    
+    # 1. Logger level is updated
+    assert logger.level == logging.WARNING
+    
+    # 2. Handlers are updated (file handler removed old ones, added new one)
+    file_handlers = [h for h in logger.handlers if isinstance(h, RotatingFileHandler)]
+    assert len(file_handlers) == 1
+    import pathlib
+    assert pathlib.Path(file_handlers[0].baseFilename) == log_file.resolve()
+    
+    # 3. Formatter is set to BeliefFormatter
+    for handler in logger.handlers:
+        assert isinstance(handler.formatter, BeliefFormatter)
+        
+    # 4. Global states
+    assert getattr(logger_module, '_enable_belief_state') is False
+    assert get_task_log_level() == "DEBUG"
+# [/DEF:test_configure_logger_post_conditions:Function]
+
+# [/DEF:test_logger:Module]

backend/src/core/migration_engine.py

@@ -11,12 +11,10 @@
 import zipfile
 import yaml
 import os
-import shutil
 import tempfile
 from pathlib import Path
 from typing import Dict
 from .logger import logger, belief_scope
-import yaml
 # [/SECTION]
 
 # [DEF:MigrationEngine:Class]

backend/src/core/plugin_loader.py

@@ -1,12 +1,12 @@
 import importlib.util
 import os
 import sys # Added this line
-from typing import Dict, Type, List, Optional
+from typing import Dict, List, Optional
 from .plugin_base import PluginBase, PluginConfig
-from jsonschema import validate
 from .logger import belief_scope
 
 # [DEF:PluginLoader:Class]
+# @TIER: STANDARD
 # @SEMANTICS: plugin, loader, dynamic, import
 # @PURPOSE: Scans a specified directory for Python modules, dynamically loads them, and registers any classes that are valid implementations of the PluginBase interface.
 # @LAYER: Core

backend/src/core/scheduler.py

@@ -1,4 +1,5 @@
 # [DEF:SchedulerModule:Module]
+# @TIER: STANDARD
 # @SEMANTICS: scheduler, apscheduler, cron, backup
 # @PURPOSE: Manages scheduled tasks using APScheduler.
 # @LAYER: Core
@@ -9,11 +10,11 @@ from apscheduler.schedulers.background import BackgroundScheduler
 from apscheduler.triggers.cron import CronTrigger
 from .logger import logger, belief_scope
 from .config_manager import ConfigManager
-from typing import Optional
 import asyncio
 # [/SECTION]
 
 # [DEF:SchedulerService:Class]
+# @TIER: STANDARD
 # @SEMANTICS: scheduler, service, apscheduler
 # @PURPOSE: Provides a service to manage scheduled backup tasks.
 class SchedulerService:

backend/src/core/superset_client.py

@@ -11,12 +11,13 @@
 
 # [SECTION: IMPORTS]
 import json
+import re
 import zipfile
 from pathlib import Path
-from typing import Any, Dict, List, Optional, Tuple, Union, cast
+from typing import Dict, List, Optional, Tuple, Union, cast
 from requests import Response
 from .logger import logger as app_logger, belief_scope
-from .utils.network import APIClient, SupersetAPIError, AuthenticationError, DashboardNotFoundError, NetworkError
+from .utils.network import APIClient, SupersetAPIError
 from .utils.fileio import get_filename_from_headers
 from .config_models import Environment
 # [/SECTION]
@@ -87,11 +88,11 @@ class SupersetClient:
             if 'columns' not in validated_query:
                 validated_query['columns'] = ["slug", "id", "changed_on_utc", "dashboard_title", "published"]
             
-            total_count = self._fetch_total_object_count(endpoint="/dashboard/")
             paginated_data = self._fetch_all_pages(
                 endpoint="/dashboard/",
-                pagination_options={"base_query": validated_query, "total_count": total_count, "results_field": "result"},
+                pagination_options={"base_query": validated_query, "results_field": "result"},
             )
+            total_count = len(paginated_data)
             app_logger.info("[get_dashboards][Exit] Found %d dashboards.", total_count)
             return total_count, paginated_data
     # [/DEF:get_dashboards:Function]
@@ -120,6 +121,252 @@ class SupersetClient:
             return result
     # [/DEF:get_dashboards_summary:Function]
 
+    # [DEF:get_dashboard:Function]
+    # @PURPOSE: Fetches a single dashboard by ID.
+    # @PRE: Client is authenticated and dashboard_id exists.
+    # @POST: Returns dashboard payload from Superset API.
+    # @RETURN: Dict
+    def get_dashboard(self, dashboard_id: int) -> Dict:
+        with belief_scope("SupersetClient.get_dashboard", f"id={dashboard_id}"):
+            response = self.network.request(method="GET", endpoint=f"/dashboard/{dashboard_id}")
+            return cast(Dict, response)
+    # [/DEF:get_dashboard:Function]
+
+    # [DEF:get_chart:Function]
+    # @PURPOSE: Fetches a single chart by ID.
+    # @PRE: Client is authenticated and chart_id exists.
+    # @POST: Returns chart payload from Superset API.
+    # @RETURN: Dict
+    def get_chart(self, chart_id: int) -> Dict:
+        with belief_scope("SupersetClient.get_chart", f"id={chart_id}"):
+            response = self.network.request(method="GET", endpoint=f"/chart/{chart_id}")
+            return cast(Dict, response)
+    # [/DEF:get_chart:Function]
+
+    # [DEF:get_dashboard_detail:Function]
+    # @PURPOSE: Fetches detailed dashboard information including related charts and datasets.
+    # @PRE: Client is authenticated and dashboard_id exists.
+    # @POST: Returns dashboard metadata with charts and datasets lists.
+    # @RETURN: Dict
+    def get_dashboard_detail(self, dashboard_id: int) -> Dict:
+        with belief_scope("SupersetClient.get_dashboard_detail", f"id={dashboard_id}"):
+            dashboard_response = self.get_dashboard(dashboard_id)
+            dashboard_data = dashboard_response.get("result", dashboard_response)
+
+            charts: List[Dict] = []
+            datasets: List[Dict] = []
+
+            def extract_dataset_id_from_form_data(form_data: Optional[Dict]) -> Optional[int]:
+                if not isinstance(form_data, dict):
+                    return None
+                datasource = form_data.get("datasource")
+                if isinstance(datasource, str):
+                    matched = re.match(r"^(\d+)__", datasource)
+                    if matched:
+                        try:
+                            return int(matched.group(1))
+                        except ValueError:
+                            return None
+                if isinstance(datasource, dict):
+                    ds_id = datasource.get("id")
+                    try:
+                        return int(ds_id) if ds_id is not None else None
+                    except (TypeError, ValueError):
+                        return None
+                ds_id = form_data.get("datasource_id")
+                try:
+                    return int(ds_id) if ds_id is not None else None
+                except (TypeError, ValueError):
+                    return None
+
+            # Canonical endpoints from Superset OpenAPI:
+            # /dashboard/{id_or_slug}/charts and /dashboard/{id_or_slug}/datasets.
+            try:
+                charts_response = self.network.request(
+                    method="GET",
+                    endpoint=f"/dashboard/{dashboard_id}/charts"
+                )
+                charts_payload = charts_response.get("result", []) if isinstance(charts_response, dict) else []
+                for chart_obj in charts_payload:
+                    if not isinstance(chart_obj, dict):
+                        continue
+                    chart_id = chart_obj.get("id")
+                    if chart_id is None:
+                        continue
+                    form_data = chart_obj.get("form_data")
+                    if isinstance(form_data, str):
+                        try:
+                            form_data = json.loads(form_data)
+                        except Exception:
+                            form_data = {}
+                    dataset_id = extract_dataset_id_from_form_data(form_data) or chart_obj.get("datasource_id")
+                    charts.append({
+                        "id": int(chart_id),
+                        "title": chart_obj.get("slice_name") or chart_obj.get("name") or f"Chart {chart_id}",
+                        "viz_type": (form_data.get("viz_type") if isinstance(form_data, dict) else None),
+                        "dataset_id": int(dataset_id) if dataset_id is not None else None,
+                        "last_modified": chart_obj.get("changed_on"),
+                        "overview": chart_obj.get("description") or (form_data.get("viz_type") if isinstance(form_data, dict) else None) or "Chart",
+                    })
+            except Exception as e:
+                app_logger.warning("[get_dashboard_detail][Warning] Failed to fetch dashboard charts: %s", e)
+
+            try:
+                datasets_response = self.network.request(
+                    method="GET",
+                    endpoint=f"/dashboard/{dashboard_id}/datasets"
+                )
+                datasets_payload = datasets_response.get("result", []) if isinstance(datasets_response, dict) else []
+                for dataset_obj in datasets_payload:
+                    if not isinstance(dataset_obj, dict):
+                        continue
+                    dataset_id = dataset_obj.get("id")
+                    if dataset_id is None:
+                        continue
+                    db_payload = dataset_obj.get("database")
+                    db_name = db_payload.get("database_name") if isinstance(db_payload, dict) else None
+                    table_name = dataset_obj.get("table_name") or dataset_obj.get("datasource_name") or dataset_obj.get("name") or f"Dataset {dataset_id}"
+                    schema = dataset_obj.get("schema")
+                    fq_name = f"{schema}.{table_name}" if schema else table_name
+                    datasets.append({
+                        "id": int(dataset_id),
+                        "table_name": table_name,
+                        "schema": schema,
+                        "database": db_name or dataset_obj.get("database_name") or "Unknown",
+                        "last_modified": dataset_obj.get("changed_on"),
+                        "overview": fq_name,
+                    })
+            except Exception as e:
+                app_logger.warning("[get_dashboard_detail][Warning] Failed to fetch dashboard datasets: %s", e)
+
+            # Fallback: derive chart IDs from layout metadata if dashboard charts endpoint fails.
+            if not charts:
+                raw_position_json = dashboard_data.get("position_json")
+                chart_ids_from_position = set()
+                if isinstance(raw_position_json, str) and raw_position_json:
+                    try:
+                        parsed_position = json.loads(raw_position_json)
+                        chart_ids_from_position.update(self._extract_chart_ids_from_layout(parsed_position))
+                    except Exception:
+                        pass
+                elif isinstance(raw_position_json, dict):
+                    chart_ids_from_position.update(self._extract_chart_ids_from_layout(raw_position_json))
+
+                raw_json_metadata = dashboard_data.get("json_metadata")
+                if isinstance(raw_json_metadata, str) and raw_json_metadata:
+                    try:
+                        parsed_metadata = json.loads(raw_json_metadata)
+                        chart_ids_from_position.update(self._extract_chart_ids_from_layout(parsed_metadata))
+                    except Exception:
+                        pass
+                elif isinstance(raw_json_metadata, dict):
+                    chart_ids_from_position.update(self._extract_chart_ids_from_layout(raw_json_metadata))
+
+                app_logger.info(
+                    "[get_dashboard_detail][State] Extracted %s fallback chart IDs from layout (dashboard_id=%s)",
+                    len(chart_ids_from_position),
+                    dashboard_id,
+                )
+
+                for chart_id in sorted(chart_ids_from_position):
+                    try:
+                        chart_response = self.get_chart(int(chart_id))
+                        chart_data = chart_response.get("result", chart_response)
+                        charts.append({
+                            "id": int(chart_id),
+                            "title": chart_data.get("slice_name") or chart_data.get("name") or f"Chart {chart_id}",
+                            "viz_type": chart_data.get("viz_type"),
+                            "dataset_id": chart_data.get("datasource_id"),
+                            "last_modified": chart_data.get("changed_on"),
+                            "overview": chart_data.get("description") or chart_data.get("viz_type") or "Chart",
+                        })
+                    except Exception as e:
+                        app_logger.warning("[get_dashboard_detail][Warning] Failed to resolve fallback chart %s: %s", chart_id, e)
+
+            # Backfill datasets from chart datasource IDs.
+            dataset_ids_from_charts = {
+                c.get("dataset_id")
+                for c in charts
+                if c.get("dataset_id") is not None
+            }
+            known_dataset_ids = {d.get("id") for d in datasets}
+            missing_dataset_ids = [ds_id for ds_id in dataset_ids_from_charts if ds_id not in known_dataset_ids]
+
+            for dataset_id in missing_dataset_ids:
+                try:
+                    dataset_response = self.get_dataset(int(dataset_id))
+                    dataset_data = dataset_response.get("result", dataset_response)
+                    db_payload = dataset_data.get("database")
+                    db_name = db_payload.get("database_name") if isinstance(db_payload, dict) else None
+                    table_name = dataset_data.get("table_name") or f"Dataset {dataset_id}"
+                    schema = dataset_data.get("schema")
+                    fq_name = f"{schema}.{table_name}" if schema else table_name
+                    datasets.append({
+                        "id": int(dataset_id),
+                        "table_name": table_name,
+                        "schema": schema,
+                        "database": db_name or "Unknown",
+                        "last_modified": dataset_data.get("changed_on_utc") or dataset_data.get("changed_on"),
+                        "overview": fq_name,
+                    })
+                except Exception as e:
+                    app_logger.warning("[get_dashboard_detail][Warning] Failed to resolve dataset %s: %s", dataset_id, e)
+
+            unique_charts = {}
+            for chart in charts:
+                unique_charts[chart["id"]] = chart
+
+            unique_datasets = {}
+            for dataset in datasets:
+                unique_datasets[dataset["id"]] = dataset
+
+            return {
+                "id": dashboard_data.get("id", dashboard_id),
+                "title": dashboard_data.get("dashboard_title") or dashboard_data.get("title") or f"Dashboard {dashboard_id}",
+                "slug": dashboard_data.get("slug"),
+                "url": dashboard_data.get("url"),
+                "description": dashboard_data.get("description") or "",
+                "last_modified": dashboard_data.get("changed_on_utc") or dashboard_data.get("changed_on"),
+                "published": dashboard_data.get("published"),
+                "charts": list(unique_charts.values()),
+                "datasets": list(unique_datasets.values()),
+                "chart_count": len(unique_charts),
+                "dataset_count": len(unique_datasets),
+            }
+    # [/DEF:get_dashboard_detail:Function]
+
+    # [DEF:_extract_chart_ids_from_layout:Function]
+    # @PURPOSE: Traverses dashboard layout metadata and extracts chart IDs from common keys.
+    # @PRE: payload can be dict/list/scalar.
+    # @POST: Returns a set of chart IDs found in nested structures.
+    def _extract_chart_ids_from_layout(self, payload: Union[Dict, List, str, int, None]) -> set:
+        with belief_scope("_extract_chart_ids_from_layout"):
+            found = set()
+
+            def walk(node):
+                if isinstance(node, dict):
+                    for key, value in node.items():
+                        if key in ("chartId", "chart_id", "slice_id", "sliceId"):
+                            try:
+                                found.add(int(value))
+                            except (TypeError, ValueError):
+                                pass
+                        if key == "id" and isinstance(value, str):
+                            match = re.match(r"^CHART-(\d+)$", value)
+                            if match:
+                                try:
+                                    found.add(int(match.group(1)))
+                                except ValueError:
+                                    pass
+                        walk(value)
+                elif isinstance(node, list):
+                    for item in node:
+                        walk(item)
+
+            walk(payload)
+            return found
+    # [/DEF:_extract_chart_ids_from_layout:Function]
+
     # [DEF:export_dashboard:Function]
     # @PURPOSE: Экспортирует дашборд в виде ZIP-архива.
     # @PARAM: dashboard_id (int) - ID дашборда для экспорта.
@@ -203,15 +450,151 @@ class SupersetClient:
             app_logger.info("[get_datasets][Enter] Fetching datasets.")
             validated_query = self._validate_query_params(query)
 
-            total_count = self._fetch_total_object_count(endpoint="/dataset/")
             paginated_data = self._fetch_all_pages(
                 endpoint="/dataset/",
-                pagination_options={"base_query": validated_query, "total_count": total_count, "results_field": "result"},
+                pagination_options={"base_query": validated_query, "results_field": "result"},
             )
+            total_count = len(paginated_data)
             app_logger.info("[get_datasets][Exit] Found %d datasets.", total_count)
             return total_count, paginated_data
     # [/DEF:get_datasets:Function]
 
+    # [DEF:get_datasets_summary:Function]
+    # @PURPOSE: Fetches dataset metadata optimized for the Dataset Hub grid.
+    # @PRE: Client is authenticated.
+    # @POST: Returns a list of dataset metadata summaries.
+    # @RETURN: List[Dict]
+    def get_datasets_summary(self) -> List[Dict]:
+        with belief_scope("SupersetClient.get_datasets_summary"):
+            query = {
+                "columns": ["id", "table_name", "schema", "database"]
+            }
+            _, datasets = self.get_datasets(query=query)
+
+            # Map fields to match the contracts
+            result = []
+            for ds in datasets:
+                result.append({
+                    "id": ds.get("id"),
+                    "table_name": ds.get("table_name"),
+                    "schema": ds.get("schema"),
+                    "database": ds.get("database", {}).get("database_name", "Unknown")
+                })
+            return result
+    # [/DEF:get_datasets_summary:Function]
+
+    # [DEF:get_dataset_detail:Function]
+    # @PURPOSE: Fetches detailed dataset information including columns and linked dashboards
+    # @PRE: Client is authenticated and dataset_id exists.
+    # @POST: Returns detailed dataset info with columns and linked dashboards.
+    # @PARAM: dataset_id (int) - The dataset ID to fetch details for.
+    # @RETURN: Dict - Dataset details with columns and linked_dashboards.
+    # @RELATION: CALLS -> self.get_dataset
+    # @RELATION: CALLS -> self.network.request (for related_objects)
+    def get_dataset_detail(self, dataset_id: int) -> Dict:
+        with belief_scope("SupersetClient.get_dataset_detail", f"id={dataset_id}"):
+            def as_bool(value, default=False):
+                if value is None:
+                    return default
+                if isinstance(value, bool):
+                    return value
+                if isinstance(value, str):
+                    return value.strip().lower() in ("1", "true", "yes", "y", "on")
+                return bool(value)
+
+            # Get base dataset info
+            response = self.get_dataset(dataset_id)
+            
+            # If the response is a dict and has a 'result' key, use that (standard Superset API)
+            if isinstance(response, dict) and 'result' in response:
+                dataset = response['result']
+            else:
+                dataset = response
+
+            # Extract columns information
+            columns = dataset.get("columns", [])
+            column_info = []
+            for col in columns:
+                col_id = col.get("id")
+                if col_id is None:
+                    continue
+                column_info.append({
+                    "id": int(col_id),
+                    "name": col.get("column_name"),
+                    "type": col.get("type"),
+                    "is_dttm": as_bool(col.get("is_dttm"), default=False),
+                    "is_active": as_bool(col.get("is_active"), default=True),
+                    "description": col.get("description", "")
+                })
+            
+            # Get linked dashboards using related_objects endpoint
+            linked_dashboards = []
+            try:
+                related_objects = self.network.request(
+                    method="GET",
+                    endpoint=f"/dataset/{dataset_id}/related_objects"
+                )
+                
+                # Handle different response formats
+                if isinstance(related_objects, dict):
+                    if "dashboards" in related_objects:
+                        dashboards_data = related_objects["dashboards"]
+                    elif "result" in related_objects and isinstance(related_objects["result"], dict):
+                        dashboards_data = related_objects["result"].get("dashboards", [])
+                    else:
+                        dashboards_data = []
+                    
+                    for dash in dashboards_data:
+                        if isinstance(dash, dict):
+                            dash_id = dash.get("id")
+                            if dash_id is None:
+                                continue
+                            linked_dashboards.append({
+                                "id": int(dash_id),
+                                "title": dash.get("dashboard_title") or dash.get("title", f"Dashboard {dash_id}"),
+                                "slug": dash.get("slug")
+                            })
+                        else:
+                            try:
+                                dash_id = int(dash)
+                            except (TypeError, ValueError):
+                                continue
+                            linked_dashboards.append({
+                                "id": dash_id,
+                                "title": f"Dashboard {dash_id}",
+                                "slug": None
+                            })
+            except Exception as e:
+                app_logger.warning(f"[get_dataset_detail][Warning] Failed to fetch related dashboards: {e}")
+                linked_dashboards = []
+            
+            # Extract SQL table information
+            sql = dataset.get("sql", "")
+            
+            result = {
+                "id": dataset.get("id"),
+                "table_name": dataset.get("table_name"),
+                "schema": dataset.get("schema"),
+                "database": (
+                    dataset.get("database", {}).get("database_name", "Unknown")
+                    if isinstance(dataset.get("database"), dict)
+                    else dataset.get("database_name") or "Unknown"
+                ),
+                "description": dataset.get("description", ""),
+                "columns": column_info,
+                "column_count": len(column_info),
+                "sql": sql,
+                "linked_dashboards": linked_dashboards,
+                "linked_dashboard_count": len(linked_dashboards),
+                "is_sqllab_view": as_bool(dataset.get("is_sqllab_view"), default=False),
+                "created_on": dataset.get("created_on"),
+                "changed_on": dataset.get("changed_on")
+            }
+            
+            app_logger.info(f"[get_dataset_detail][Exit] Got dataset {dataset_id} with {len(column_info)} columns and {len(linked_dashboards)} linked dashboards")
+            return result
+    # [/DEF:get_dataset_detail:Function]
+
     # [DEF:get_dataset:Function]
     # @PURPOSE: Получает информацию о конкретном датасете по его ID.
     # @PARAM: dataset_id (int) - ID датасета.
@@ -264,11 +647,12 @@ class SupersetClient:
             validated_query = self._validate_query_params(query or {})
             if 'columns' not in validated_query:
                 validated_query['columns'] = []
-            total_count = self._fetch_total_object_count(endpoint="/database/")
+            
             paginated_data = self._fetch_all_pages(
                 endpoint="/database/",
-                pagination_options={"base_query": validated_query, "total_count": total_count, "results_field": "result"},
+                pagination_options={"base_query": validated_query, "results_field": "result"},
             )
+            total_count = len(paginated_data)
             app_logger.info("[get_databases][Exit] Found %d databases.", total_count)
             return total_count, paginated_data
     # [/DEF:get_databases:Function]

backend/src/core/task_manager/__init__.py

@@ -1,4 +1,5 @@
 # [DEF:TaskManagerPackage:Module]
+# @TIER: TRIVIAL
 # @SEMANTICS: task, manager, package, exports
 # @PURPOSE: Exports the public API of the task manager package.
 # @LAYER: Core

backend/src/core/task_manager/cleanup.py

@@ -1,47 +1,75 @@
 # [DEF:TaskCleanupModule:Module]
-# @SEMANTICS: task, cleanup, retention
-# @PURPOSE: Implements task cleanup and retention policies.
+# @TIER: STANDARD
+# @SEMANTICS: task, cleanup, retention, logs
+# @PURPOSE: Implements task cleanup and retention policies, including associated logs.
 # @LAYER: Core
-# @RELATION: Uses TaskPersistenceService to delete old tasks.
+# @RELATION: Uses TaskPersistenceService and TaskLogPersistenceService to delete old tasks and logs.
 
-from datetime import datetime, timedelta
-from .persistence import TaskPersistenceService
+from typing import List
+from .persistence import TaskPersistenceService, TaskLogPersistenceService
 from ..logger import logger, belief_scope
 from ..config_manager import ConfigManager
 
 # [DEF:TaskCleanupService:Class]
-# @PURPOSE: Provides methods to clean up old task records.
+# @PURPOSE: Provides methods to clean up old task records and their associated logs.
+# @TIER: STANDARD
 class TaskCleanupService:
     # [DEF:__init__:Function]
     # @PURPOSE: Initializes the cleanup service with dependencies.
     # @PRE:     persistence_service and config_manager are valid.
     # @POST:    Cleanup service is ready.
-    def __init__(self, persistence_service: TaskPersistenceService, config_manager: ConfigManager):
+    def __init__(
+        self,
+        persistence_service: TaskPersistenceService,
+        log_persistence_service: TaskLogPersistenceService,
+        config_manager: ConfigManager
+    ):
         self.persistence_service = persistence_service
+        self.log_persistence_service = log_persistence_service
         self.config_manager = config_manager
     # [/DEF:__init__:Function]
 
     # [DEF:run_cleanup:Function]
-    # @PURPOSE: Deletes tasks older than the configured retention period.
+    # @PURPOSE: Deletes tasks older than the configured retention period and their logs.
     # @PRE:     Config manager has valid settings.
-    # @POST:    Old tasks are deleted from persistence.
+    # @POST:    Old tasks and their logs are deleted from persistence.
     def run_cleanup(self):
         with belief_scope("TaskCleanupService.run_cleanup"):
             settings = self.config_manager.get_config().settings
             retention_days = settings.task_retention_days
             
-            # This is a simplified implementation. 
-            # In a real scenario, we would query IDs of tasks older than retention_days.
-            # For now, we'll log the action.
             logger.info(f"Cleaning up tasks older than {retention_days} days.")
             
-            # Re-loading tasks to check for limit
+            # Load tasks to check for limit
             tasks = self.persistence_service.load_tasks(limit=1000)
             if len(tasks) > settings.task_retention_limit:
-                to_delete = [t.id for t in tasks[settings.task_retention_limit:]]
+                to_delete: List[str] = [t.id for t in tasks[settings.task_retention_limit:]]
+                
+                # Delete logs first (before task records)
+                self.log_persistence_service.delete_logs_for_tasks(to_delete)
+                
+                # Then delete task records
                 self.persistence_service.delete_tasks(to_delete)
-                logger.info(f"Deleted {len(to_delete)} tasks exceeding limit of {settings.task_retention_limit}")
+                
+                logger.info(f"Deleted {len(to_delete)} tasks and their logs exceeding limit of {settings.task_retention_limit}")
     # [/DEF:run_cleanup:Function]
+    
+    # [DEF:delete_task_with_logs:Function]
+    # @PURPOSE: Delete a single task and all its associated logs.
+    # @PRE: task_id is a valid task ID.
+    # @POST: Task and all its logs are deleted.
+    # @PARAM: task_id (str) - The task ID to delete.
+    def delete_task_with_logs(self, task_id: str) -> None:
+        """Delete a single task and all its associated logs."""
+        with belief_scope("TaskCleanupService.delete_task_with_logs", f"task_id={task_id}"):
+            # Delete logs first
+            self.log_persistence_service.delete_logs_for_task(task_id)
+            
+            # Then delete task record
+            self.persistence_service.delete_tasks([task_id])
+            
+            logger.info(f"Deleted task {task_id} and its associated logs")
+    # [/DEF:delete_task_with_logs:Function]
 
 # [/DEF:TaskCleanupService:Class]
 # [/DEF:TaskCleanupModule:Module]

backend/src/core/task_manager/context.py

@@ -0,0 +1,123 @@
+# [DEF:TaskContextModule:Module]
+# @SEMANTICS: task, context, plugin, execution, logger
+# @PURPOSE: Provides execution context passed to plugins during task execution.
+# @LAYER: Core
+# @RELATION: DEPENDS_ON -> TaskLogger, USED_BY -> plugins
+# @TIER: CRITICAL
+# @INVARIANT: Each TaskContext is bound to a single task execution.
+
+# [SECTION: IMPORTS]
+# [SECTION: IMPORTS]
+from typing import Dict, Any, Callable
+from .task_logger import TaskLogger
+from ..logger import belief_scope
+# [/SECTION]
+
+# [DEF:TaskContext:Class]
+# @SEMANTICS: context, task, execution, plugin
+# @PURPOSE: A container passed to plugin.execute() providing the logger and other task-specific utilities.
+# @TIER: CRITICAL
+# @INVARIANT: logger is always a valid TaskLogger instance.
+# @UX_STATE: Idle -> Active -> Complete
+class TaskContext:
+    """
+    Execution context provided to plugins during task execution.
+    
+    Usage:
+        def execute(params: dict, context: TaskContext = None):
+            if context:
+                context.logger.info("Starting process")
+                context.logger.progress("Processing items", percent=50)
+            # ... plugin logic
+    """
+    
+    # [DEF:__init__:Function]
+    # @PURPOSE: Initialize the TaskContext with task-specific resources.
+    # @PRE: task_id is a valid task identifier, add_log_fn is callable.
+    # @POST: TaskContext is ready to be passed to plugin.execute().
+    # @PARAM: task_id (str) - The ID of the task.
+    # @PARAM: add_log_fn (Callable) - Function to add log to TaskManager.
+    # @PARAM: params (Dict) - Task parameters.
+    # @PARAM: default_source (str) - Default source for logs (default: "plugin").
+    def __init__(
+        self,
+        task_id: str,
+        add_log_fn: Callable,
+        params: Dict[str, Any],
+        default_source: str = "plugin"
+    ):
+        with belief_scope("__init__"):
+            self._task_id = task_id
+            self._params = params
+            self._logger = TaskLogger(
+                task_id=task_id,
+                add_log_fn=add_log_fn,
+                source=default_source
+            )
+    # [/DEF:__init__:Function]
+    
+    # [DEF:task_id:Function]
+    # @PURPOSE: Get the task ID.
+    # @PRE: TaskContext must be initialized.
+    # @POST: Returns the task ID string.
+    # @RETURN: str - The task ID.
+    @property
+    def task_id(self) -> str:
+        with belief_scope("task_id"):
+            return self._task_id
+    # [/DEF:task_id:Function]
+    
+    # [DEF:logger:Function]
+    # @PURPOSE: Get the TaskLogger instance for this context.
+    # @PRE: TaskContext must be initialized.
+    # @POST: Returns the TaskLogger instance.
+    # @RETURN: TaskLogger - The logger instance.
+    @property
+    def logger(self) -> TaskLogger:
+        with belief_scope("logger"):
+            return self._logger
+    # [/DEF:logger:Function]
+    
+    # [DEF:params:Function]
+    # @PURPOSE: Get the task parameters.
+    # @PRE: TaskContext must be initialized.
+    # @POST: Returns the parameters dictionary.
+    # @RETURN: Dict[str, Any] - The task parameters.
+    @property
+    def params(self) -> Dict[str, Any]:
+        with belief_scope("params"):
+            return self._params
+    # [/DEF:params:Function]
+    
+    # [DEF:get_param:Function]
+    # @PURPOSE: Get a specific parameter value with optional default.
+    # @PRE: TaskContext must be initialized.
+    # @POST: Returns parameter value or default.
+    # @PARAM: key (str) - Parameter key.
+    # @PARAM: default (Any) - Default value if key not found.
+    # @RETURN: Any - Parameter value or default.
+    def get_param(self, key: str, default: Any = None) -> Any:
+        with belief_scope("get_param"):
+            return self._params.get(key, default)
+    # [/DEF:get_param:Function]
+    
+    # [DEF:create_sub_context:Function]
+    # @PURPOSE: Create a sub-context with a different default source.
+    # @PRE: source is a non-empty string.
+    # @POST: Returns new TaskContext with different logger source.
+    # @PARAM: source (str) - New default source for logging.
+    # @RETURN: TaskContext - New context with different source.
+    def create_sub_context(self, source: str) -> "TaskContext":
+        """Create a sub-context with a different default source for logging."""
+        with belief_scope("create_sub_context"):
+            return TaskContext(
+                task_id=self._task_id,
+                add_log_fn=self._logger._add_log,
+                params=self._params,
+                default_source=source
+            )
+    # [/DEF:create_sub_context:Function]
+
+# [/DEF:TaskContext:Class]
+
+# [/DEF:TaskContextModule:Module]

backend/src/core/task_manager/manager.py

@@ -1,4 +1,5 @@
 # [DEF:TaskManagerModule:Module]
+# @TIER: CRITICAL
 # @SEMANTICS: task, manager, lifecycle, execution, state
 # @PURPOSE: Manages the lifecycle of tasks, including their creation, execution, and state tracking. It uses a thread pool to run plugins asynchronously.
 # @LAYER: Core
@@ -8,23 +9,33 @@
 
 # [SECTION: IMPORTS]
 import asyncio
-from datetime import datetime
-from typing import Dict, Any, List, Optional
+import threading
+import inspect
 from concurrent.futures import ThreadPoolExecutor
+from datetime import datetime, timezone
+from typing import Dict, Any, List, Optional
 
-from .models import Task, TaskStatus, LogEntry
-from .persistence import TaskPersistenceService
-from ..logger import logger, belief_scope
+from .models import Task, TaskStatus, LogEntry, LogFilter, LogStats
+from .persistence import TaskPersistenceService, TaskLogPersistenceService
+from .context import TaskContext
+from ..logger import logger, belief_scope, should_log_task_level
 # [/SECTION]
 
 # [DEF:TaskManager:Class]
 # @SEMANTICS: task, manager, lifecycle, execution, state
 # @PURPOSE: Manages the lifecycle of tasks, including their creation, execution, and state tracking.
+# @TIER: CRITICAL
+# @INVARIANT: Task IDs are unique within the registry.
+# @INVARIANT: Each task has exactly one status at any time.
+# @INVARIANT: Log entries are never deleted after being added to a task.
 class TaskManager:
     """
     Manages the lifecycle of tasks, including their creation, execution, and state tracking.
     """
     
+    # Log flush interval in seconds
+    LOG_FLUSH_INTERVAL = 2.0
+    
     # [DEF:__init__:Function]
     # @PURPOSE: Initialize the TaskManager with dependencies.
     # @PRE:     plugin_loader is initialized.
@@ -35,8 +46,18 @@ class TaskManager:
             self.plugin_loader = plugin_loader
             self.tasks: Dict[str, Task] = {}
             self.subscribers: Dict[str, List[asyncio.Queue]] = {}
-            self.executor = ThreadPoolExecutor(max_workers=5) # For CPU-bound plugin execution
+            self.executor = ThreadPoolExecutor(max_workers=5)  # For CPU-bound plugin execution
             self.persistence_service = TaskPersistenceService()
+            self.log_persistence_service = TaskLogPersistenceService()
+            
+            # Log buffer: task_id -> List[LogEntry]
+            self._log_buffer: Dict[str, List[LogEntry]] = {}
+            self._log_buffer_lock = threading.Lock()
+            
+            # Flusher thread for batch writing logs
+            self._flusher_stop_event = threading.Event()
+            self._flusher_thread = threading.Thread(target=self._flusher_loop, daemon=True)
+            self._flusher_thread.start()
             
             try:
                 self.loop = asyncio.get_running_loop()
@@ -47,6 +68,62 @@ class TaskManager:
             # Load persisted tasks on startup
             self.load_persisted_tasks()
     # [/DEF:__init__:Function]
+    
+    # [DEF:_flusher_loop:Function]
+    # @PURPOSE: Background thread that periodically flushes log buffer to database.
+    # @PRE: TaskManager is initialized.
+    # @POST: Logs are batch-written to database every LOG_FLUSH_INTERVAL seconds.
+    def _flusher_loop(self):
+        """Background thread that flushes log buffer to database."""
+        with belief_scope("_flusher_loop"):
+            while not self._flusher_stop_event.is_set():
+                self._flush_logs()
+                self._flusher_stop_event.wait(self.LOG_FLUSH_INTERVAL)
+    # [/DEF:_flusher_loop:Function]
+    
+    # [DEF:_flush_logs:Function]
+    # @PURPOSE: Flush all buffered logs to the database.
+    # @PRE: None.
+    # @POST: All buffered logs are written to task_logs table.
+    def _flush_logs(self):
+        """Flush all buffered logs to the database."""
+        with belief_scope("_flush_logs"):
+            with self._log_buffer_lock:
+                task_ids = list(self._log_buffer.keys())
+            
+            for task_id in task_ids:
+                with self._log_buffer_lock:
+                    logs = self._log_buffer.pop(task_id, [])
+                
+                if logs:
+                    try:
+                        self.log_persistence_service.add_logs(task_id, logs)
+                    except Exception as e:
+                        logger.error(f"Failed to flush logs for task {task_id}: {e}")
+                        # Re-add logs to buffer on failure
+                        with self._log_buffer_lock:
+                            if task_id not in self._log_buffer:
+                                self._log_buffer[task_id] = []
+                            self._log_buffer[task_id].extend(logs)
+    # [/DEF:_flush_logs:Function]
+    
+    # [DEF:_flush_task_logs:Function]
+    # @PURPOSE: Flush logs for a specific task immediately.
+    # @PRE: task_id exists.
+    # @POST: Task's buffered logs are written to database.
+    # @PARAM: task_id (str) - The task ID.
+    def _flush_task_logs(self, task_id: str):
+        """Flush logs for a specific task immediately."""
+        with belief_scope("_flush_task_logs"):
+            with self._log_buffer_lock:
+                logs = self._log_buffer.pop(task_id, [])
+            
+            if logs:
+                try:
+                    self.log_persistence_service.add_logs(task_id, logs)
+                except Exception as e:
+                    logger.error(f"Failed to flush logs for task {task_id}: {e}")
+    # [/DEF:_flush_task_logs:Function]
 
     # [DEF:create_task:Function]
     # @PURPOSE: Creates and queues a new task for execution.
@@ -63,7 +140,7 @@ class TaskManager:
                 logger.error(f"Plugin with ID '{plugin_id}' not found.")
                 raise ValueError(f"Plugin with ID '{plugin_id}' not found.")
 
-            plugin = self.plugin_loader.get_plugin(plugin_id)
+            self.plugin_loader.get_plugin(plugin_id)
             
             if not isinstance(params, dict):
                  logger.error("Task parameters must be a dictionary.")
@@ -78,7 +155,7 @@ class TaskManager:
     # [/DEF:create_task:Function]
 
     # [DEF:_run_task:Function]
-    # @PURPOSE: Internal method to execute a task.
+    # @PURPOSE: Internal method to execute a task with TaskContext support.
     # @PRE:     Task exists in registry.
     # @POST:    Task is executed, status updated to SUCCESS or FAILED.
     # @PARAM:   task_id (str) - The ID of the task to run.
@@ -91,30 +168,54 @@ class TaskManager:
             task.status = TaskStatus.RUNNING
             task.started_at = datetime.utcnow()
             self.persistence_service.persist_task(task)
-            self._add_log(task_id, "INFO", f"Task started for plugin '{plugin.name}'")
+            self._add_log(task_id, "INFO", f"Task started for plugin '{plugin.name}'", source="system")
 
             try:
-                # Execute plugin
+                # Prepare params and check if plugin supports new TaskContext
                 params = {**task.params, "_task_id": task_id}
                 
-                if asyncio.iscoroutinefunction(plugin.execute):
-                    task.result = await plugin.execute(params)
-                else:
-                    task.result = await self.loop.run_in_executor(
-                        self.executor,
-                        plugin.execute,
-                        params
+                # Check if plugin's execute method accepts 'context' parameter
+                sig = inspect.signature(plugin.execute)
+                accepts_context = 'context' in sig.parameters
+                
+                if accepts_context:
+                    # Create TaskContext for new-style plugins
+                    context = TaskContext(
+                        task_id=task_id,
+                        add_log_fn=self._add_log,
+                        params=params,
+                        default_source="plugin"
                     )
+                    
+                    if asyncio.iscoroutinefunction(plugin.execute):
+                        task.result = await plugin.execute(params, context=context)
+                    else:
+                        task.result = await self.loop.run_in_executor(
+                            self.executor,
+                            lambda: plugin.execute(params, context=context)
+                        )
+                else:
+                    # Backward compatibility: old-style plugins without context
+                    if asyncio.iscoroutinefunction(plugin.execute):
+                        task.result = await plugin.execute(params)
+                    else:
+                        task.result = await self.loop.run_in_executor(
+                            self.executor,
+                            plugin.execute,
+                            params
+                        )
                 
                 logger.info(f"Task {task_id} completed successfully")
                 task.status = TaskStatus.SUCCESS
-                self._add_log(task_id, "INFO", f"Task completed successfully for plugin '{plugin.name}'")
+                self._add_log(task_id, "INFO", f"Task completed successfully for plugin '{plugin.name}'", source="system")
             except Exception as e:
                 logger.error(f"Task {task_id} failed: {e}")
                 task.status = TaskStatus.FAILED
-                self._add_log(task_id, "ERROR", f"Task failed: {e}", {"error_type": type(e).__name__})
+                self._add_log(task_id, "ERROR", f"Task failed: {e}", source="system", metadata={"error_type": type(e).__name__})
             finally:
                 task.finished_at = datetime.utcnow()
+                # Flush any remaining buffered logs before persisting task
+                self._flush_task_logs(task_id)
                 self.persistence_service.persist_task(task)
                 logger.info(f"Task {task_id} execution finished with status: {task.status}")
     # [/DEF:_run_task:Function]
@@ -151,7 +252,8 @@ class TaskManager:
     async def wait_for_resolution(self, task_id: str):
         with belief_scope("TaskManager.wait_for_resolution", f"task_id={task_id}"):
             task = self.tasks.get(task_id)
-            if not task: return
+            if not task:
+                return
             
             task.status = TaskStatus.AWAITING_MAPPING
             self.persistence_service.persist_task(task)
@@ -172,7 +274,8 @@ class TaskManager:
     async def wait_for_input(self, task_id: str):
         with belief_scope("TaskManager.wait_for_input", f"task_id={task_id}"):
             task = self.tasks.get(task_id)
-            if not task: return
+            if not task:
+                return
             
             # Status is already set to AWAITING_INPUT by await_input()
             self.task_futures[task_id] = self.loop.create_future()
@@ -213,47 +316,139 @@ class TaskManager:
     # @PARAM:   offset (int) - Number of tasks to skip.
     # @PARAM:   status (Optional[TaskStatus]) - Filter by task status.
     # @RETURN:  List[Task] - List of tasks matching criteria.
-    def get_tasks(self, limit: int = 10, offset: int = 0, status: Optional[TaskStatus] = None) -> List[Task]:
+    def get_tasks(
+        self,
+        limit: int = 10,
+        offset: int = 0,
+        status: Optional[TaskStatus] = None,
+        plugin_ids: Optional[List[str]] = None,
+        completed_only: bool = False
+    ) -> List[Task]:
         with belief_scope("TaskManager.get_tasks"):
             tasks = list(self.tasks.values())
         if status:
             tasks = [t for t in tasks if t.status == status]
-        # Sort by start_time descending (most recent first)
-        tasks.sort(key=lambda t: t.started_at or datetime.min, reverse=True)
+        if plugin_ids:
+            plugin_id_set = set(plugin_ids)
+            tasks = [t for t in tasks if t.plugin_id in plugin_id_set]
+        if completed_only:
+            tasks = [t for t in tasks if t.status in [TaskStatus.SUCCESS, TaskStatus.FAILED]]
+        # Sort by started_at descending with tolerant handling of mixed tz-aware/naive values.
+        def sort_key(task: Task) -> float:
+            started_at = task.started_at
+            if started_at is None:
+                return float("-inf")
+            if not isinstance(started_at, datetime):
+                return float("-inf")
+            if started_at.tzinfo is None:
+                return started_at.replace(tzinfo=timezone.utc).timestamp()
+            return started_at.timestamp()
+
+        tasks.sort(key=sort_key, reverse=True)
         return tasks[offset:offset + limit]
     # [/DEF:get_tasks:Function]
 
     # [DEF:get_task_logs:Function]
-    # @PURPOSE: Retrieves logs for a specific task.
+    # @PURPOSE: Retrieves logs for a specific task (from memory for running, persistence for completed).
     # @PRE:     task_id is a string.
-    # @POST:    Returns list of LogEntry objects.
+    # @POST:    Returns list of LogEntry or TaskLog objects.
     # @PARAM:   task_id (str) - ID of the task.
+    # @PARAM:   log_filter (Optional[LogFilter]) - Filter parameters.
     # @RETURN:  List[LogEntry] - List of log entries.
-    def get_task_logs(self, task_id: str) -> List[LogEntry]:
+    def get_task_logs(self, task_id: str, log_filter: Optional[LogFilter] = None) -> List[LogEntry]:
         with belief_scope("TaskManager.get_task_logs", f"task_id={task_id}"):
             task = self.tasks.get(task_id)
+            
+            # For completed tasks, fetch from persistence
+            if task and task.status in [TaskStatus.SUCCESS, TaskStatus.FAILED]:
+                if log_filter is None:
+                    log_filter = LogFilter()
+                task_logs = self.log_persistence_service.get_logs(task_id, log_filter)
+                # Convert TaskLog to LogEntry for backward compatibility
+                return [
+                    LogEntry(
+                        timestamp=log.timestamp,
+                        level=log.level,
+                        message=log.message,
+                        source=log.source,
+                        metadata=log.metadata
+                    )
+                    for log in task_logs
+                ]
+            
+            # For running/pending tasks, return from memory
             return task.logs if task else []
     # [/DEF:get_task_logs:Function]
+    
+    # [DEF:get_task_log_stats:Function]
+    # @PURPOSE: Get statistics about logs for a task.
+    # @PRE: task_id is a valid task ID.
+    # @POST: Returns LogStats with counts by level and source.
+    # @PARAM: task_id (str) - The task ID.
+    # @RETURN: LogStats - Statistics about task logs.
+    def get_task_log_stats(self, task_id: str) -> LogStats:
+        with belief_scope("TaskManager.get_task_log_stats", f"task_id={task_id}"):
+            return self.log_persistence_service.get_log_stats(task_id)
+    # [/DEF:get_task_log_stats:Function]
+    
+    # [DEF:get_task_log_sources:Function]
+    # @PURPOSE: Get unique sources for a task's logs.
+    # @PRE: task_id is a valid task ID.
+    # @POST: Returns list of unique source strings.
+    # @PARAM: task_id (str) - The task ID.
+    # @RETURN: List[str] - Unique source names.
+    def get_task_log_sources(self, task_id: str) -> List[str]:
+        with belief_scope("TaskManager.get_task_log_sources", f"task_id={task_id}"):
+            return self.log_persistence_service.get_sources(task_id)
+    # [/DEF:get_task_log_sources:Function]
 
     # [DEF:_add_log:Function]
-    # @PURPOSE: Adds a log entry to a task and notifies subscribers.
+    # @PURPOSE: Adds a log entry to a task buffer and notifies subscribers.
     # @PRE:     Task exists.
-    # @POST:    Log added to task and pushed to queues.
+    # @POST:    Log added to buffer and pushed to queues (if level meets task_log_level filter).
     # @PARAM:   task_id (str) - ID of the task.
     # @PARAM:   level (str) - Log level.
     # @PARAM:   message (str) - Log message.
-    # @PARAM:   context (Optional[Dict]) - Log context.
-    def _add_log(self, task_id: str, level: str, message: str, context: Optional[Dict[str, Any]] = None):
+    # @PARAM:   source (str) - Source component (default: "system").
+    # @PARAM:   metadata (Optional[Dict]) - Additional structured data.
+    # @PARAM:   context (Optional[Dict]) - Legacy context (for backward compatibility).
+    def _add_log(
+        self,
+        task_id: str,
+        level: str,
+        message: str,
+        source: str = "system",
+        metadata: Optional[Dict[str, Any]] = None,
+        context: Optional[Dict[str, Any]] = None
+    ):
         with belief_scope("TaskManager._add_log", f"task_id={task_id}"):
             task = self.tasks.get(task_id)
             if not task:
                 return
 
-            log_entry = LogEntry(level=level, message=message, context=context)
-            task.logs.append(log_entry)
-            self.persistence_service.persist_task(task)
+            # Filter logs based on task_log_level configuration
+            if not should_log_task_level(level):
+                return
 
-            # Notify subscribers
+            # Create log entry with new fields
+            log_entry = LogEntry(
+                level=level,
+                message=message,
+                source=source,
+                metadata=metadata,
+                context=context  # Keep for backward compatibility
+            )
+            
+            # Add to in-memory logs (for backward compatibility with legacy JSON field)
+            task.logs.append(log_entry)
+            
+            # Add to buffer for batch persistence
+            with self._log_buffer_lock:
+                if task_id not in self._log_buffer:
+                    self._log_buffer[task_id] = []
+                self._log_buffer[task_id].append(log_entry)
+
+            # Notify subscribers (for real-time WebSocket updates)
             if task_id in self.subscribers:
                 for queue in self.subscribers[task_id]:
                     self.loop.call_soon_threadsafe(queue.put_nowait, log_entry)
@@ -353,7 +548,7 @@ class TaskManager:
     # [/DEF:resume_task_with_password:Function]
 
     # [DEF:clear_tasks:Function]
-    # @PURPOSE: Clears tasks based on status filter.
+    # @PURPOSE: Clears tasks based on status filter (also deletes associated logs).
     # @PRE:     status is Optional[TaskStatus].
     # @POST:    Tasks matching filter (or all non-active) cleared from registry and database.
     # @PARAM:   status (Optional[TaskStatus]) - Filter by task status.
@@ -387,12 +582,16 @@ class TaskManager:
                 
                 del self.tasks[tid]
 
-            # Remove from persistence
+            # Remove from persistence (task_records and task_logs via CASCADE)
             self.persistence_service.delete_tasks(tasks_to_remove)
             
+            # Also explicitly delete logs (in case CASCADE is not set up)
+            if tasks_to_remove:
+                self.log_persistence_service.delete_logs_for_tasks(tasks_to_remove)
+            
             logger.info(f"Cleared {len(tasks_to_remove)} tasks.")
             return len(tasks_to_remove)
     # [/DEF:clear_tasks:Function]
 
 # [/DEF:TaskManager:Class]
-# [/DEF:TaskManagerModule:Module]
+# [/DEF:TaskManagerModule:Module]

backend/src/core/task_manager/models.py

@@ -1,4 +1,5 @@
 # [DEF:TaskManagerModels:Module]
+# @TIER: STANDARD
 # @SEMANTICS: task, models, pydantic, enum, state
 # @PURPOSE: Defines the data models and enumerations used by the Task Manager.
 # @LAYER: Core
@@ -16,6 +17,7 @@ from pydantic import BaseModel, Field
 # [/SECTION]
 
 # [DEF:TaskStatus:Enum]
+# @TIER: TRIVIAL
 # @SEMANTICS: task, status, state, enum
 # @PURPOSE: Defines the possible states a task can be in during its lifecycle.
 class TaskStatus(str, Enum):
@@ -27,17 +29,73 @@ class TaskStatus(str, Enum):
     AWAITING_INPUT = "AWAITING_INPUT"
 # [/DEF:TaskStatus:Enum]
 
+# [DEF:LogLevel:Enum]
+# @SEMANTICS: log, level, severity, enum
+# @PURPOSE: Defines the possible log levels for task logging.
+# @TIER: STANDARD
+class LogLevel(str, Enum):
+    DEBUG = "DEBUG"
+    INFO = "INFO"
+    WARNING = "WARNING"
+    ERROR = "ERROR"
+# [/DEF:LogLevel:Enum]
+
 # [DEF:LogEntry:Class]
 # @SEMANTICS: log, entry, record, pydantic
 # @PURPOSE: A Pydantic model representing a single, structured log entry associated with a task.
+# @TIER: CRITICAL
+# @INVARIANT: Each log entry has a unique timestamp and source.
 class LogEntry(BaseModel):
     timestamp: datetime = Field(default_factory=datetime.utcnow)
-    level: str
+    level: str = Field(default="INFO")
     message: str
-    context: Optional[Dict[str, Any]] = None
+    source: str = Field(default="system")  # Component attribution: plugin, superset_api, git, etc.
+    context: Optional[Dict[str, Any]] = None  # Legacy field, kept for backward compatibility
+    metadata: Optional[Dict[str, Any]] = None  # Structured metadata (e.g., dashboard_id, progress)
 # [/DEF:LogEntry:Class]
 
+# [DEF:TaskLog:Class]
+# @SEMANTICS: task, log, persistent, pydantic
+# @PURPOSE: A Pydantic model representing a persisted log entry from the database.
+# @TIER: STANDARD
+# @RELATION: MAPS_TO -> TaskLogRecord
+class TaskLog(BaseModel):
+    id: int
+    task_id: str
+    timestamp: datetime
+    level: str
+    source: str
+    message: str
+    metadata: Optional[Dict[str, Any]] = None
+
+    class Config:
+        from_attributes = True
+# [/DEF:TaskLog:Class]
+
+# [DEF:LogFilter:Class]
+# @SEMANTICS: log, filter, query, pydantic
+# @PURPOSE: Filter parameters for querying task logs.
+# @TIER: STANDARD
+class LogFilter(BaseModel):
+    level: Optional[str] = None  # Filter by log level
+    source: Optional[str] = None  # Filter by source component
+    search: Optional[str] = None  # Text search in message
+    offset: int = Field(default=0, ge=0)
+    limit: int = Field(default=100, ge=1, le=1000)
+# [/DEF:LogFilter:Class]
+
+# [DEF:LogStats:Class]
+# @SEMANTICS: log, stats, aggregation, pydantic
+# @PURPOSE: Statistics about log entries for a task.
+# @TIER: STANDARD
+class LogStats(BaseModel):
+    total_count: int
+    by_level: Dict[str, int]  # {"INFO": 10, "ERROR": 2}
+    by_source: Dict[str, int]  # {"plugin": 5, "superset_api": 7}
+# [/DEF:LogStats:Class]
+
 # [DEF:Task:Class]
+# @TIER: STANDARD
 # @SEMANTICS: task, job, execution, state, pydantic
 # @PURPOSE: A Pydantic model representing a single execution instance of a plugin, including its status, parameters, and logs.
 class Task(BaseModel):
@@ -51,7 +109,8 @@ class Task(BaseModel):
     params: Dict[str, Any] = Field(default_factory=dict)
     input_required: bool = False
     input_request: Optional[Dict[str, Any]] = None
-    result: Optional[Dict[str, Any]] = None
+    # Result payload can be dict/list/scalar depending on plugin and legacy records.
+    result: Optional[Any] = None
 
     # [DEF:__init__:Function]
     # @PURPOSE: Initializes the Task model and validates input_request for AWAITING_INPUT status.
@@ -65,4 +124,4 @@ class Task(BaseModel):
     # [/DEF:__init__:Function]
 # [/DEF:Task:Class]
 
-# [/DEF:TaskManagerModels:Module]
+# [/DEF:TaskManagerModels:Module]

backend/src/core/task_manager/persistence.py

@@ -1,4 +1,5 @@
 # [DEF:TaskPersistenceModule:Module]
+# @TIER: CRITICAL
 # @SEMANTICS: persistence, sqlite, sqlalchemy, task, storage
 # @PURPOSE: Handles the persistence of tasks using SQLAlchemy and the tasks.db database.
 # @LAYER: Core
@@ -7,20 +8,78 @@
 
 # [SECTION: IMPORTS]
 from datetime import datetime
-from typing import List, Optional, Dict, Any
+from typing import List, Optional
 import json
 
 from sqlalchemy.orm import Session
-from ...models.task import TaskRecord
+from ...models.task import TaskRecord, TaskLogRecord
+from ...models.mapping import Environment
 from ..database import TasksSessionLocal
-from .models import Task, TaskStatus, LogEntry
+from .models import Task, TaskStatus, LogEntry, TaskLog, LogFilter, LogStats
 from ..logger import logger, belief_scope
 # [/SECTION]
 
 # [DEF:TaskPersistenceService:Class]
+# @TIER: CRITICAL
 # @SEMANTICS: persistence, service, database, sqlalchemy
 # @PURPOSE: Provides methods to save and load tasks from the tasks.db database using SQLAlchemy.
+# @INVARIANT: Persistence must handle potentially missing task fields natively.
 class TaskPersistenceService:
+    # [DEF:_json_load_if_needed:Function]
+    # @PURPOSE: Safely load JSON strings from DB if necessary
+    # @PRE: value is an arbitrary database value
+    # @POST: Returns parsed JSON object, list, string, or primitive
+    @staticmethod
+    def _json_load_if_needed(value):
+        with belief_scope("TaskPersistenceService._json_load_if_needed"):
+            if value is None:
+                return None
+            if isinstance(value, (dict, list)):
+                return value
+            if isinstance(value, str):
+                stripped = value.strip()
+                if stripped == "" or stripped.lower() == "null":
+                    return None
+                try:
+                    return json.loads(stripped)
+                except json.JSONDecodeError:
+                    return value
+            return value
+    # [/DEF:_json_load_if_needed:Function]
+
+    # [DEF:_parse_datetime:Function]
+    # @PURPOSE: Safely parse a datetime string from the database
+    # @PRE: value is an ISO string or datetime object
+    # @POST: Returns datetime object or None
+    @staticmethod
+    def _parse_datetime(value):
+        with belief_scope("TaskPersistenceService._parse_datetime"):
+            if value is None or isinstance(value, datetime):
+                return value
+            if isinstance(value, str):
+                try:
+                    return datetime.fromisoformat(value)
+                except ValueError:
+                    return None
+            return None
+    # [/DEF:_parse_datetime:Function]
+
+    # [DEF:_resolve_environment_id:Function]
+    # @TIER: STANDARD
+    # @PURPOSE: Resolve environment id based on provided value or fallback to default
+    # @PRE: Session is active
+    # @POST: Environment ID is returned
+    @staticmethod
+    def _resolve_environment_id(session: Session, env_id: Optional[str]) -> str:
+        with belief_scope("_resolve_environment_id"):
+            if env_id:
+                return env_id
+            repo_env = session.query(Environment).filter_by(name="default").first()
+            if repo_env:
+                return str(repo_env.id)
+            return "default"
+    # [/DEF:_resolve_environment_id:Function]
+
     # [DEF:__init__:Function]
     # @PURPOSE: Initializes the persistence service.
     # @PRE:     None.
@@ -36,6 +95,7 @@ class TaskPersistenceService:
     # @PRE:     isinstance(task, Task)
     # @POST:    Task record created or updated in database.
     # @PARAM:   task (Task) - The task object to persist.
+    # @SIDE_EFFECT: Writes to task_records table in tasks.db
     def persist_task(self, task: Task) -> None:
         with belief_scope("TaskPersistenceService.persist_task", f"task_id={task.id}"):
             session: Session = TasksSessionLocal()
@@ -47,11 +107,24 @@ class TaskPersistenceService:
                 
                 record.type = task.plugin_id
                 record.status = task.status.value
-                record.environment_id = task.params.get("environment_id") or task.params.get("source_env_id")
+                raw_env_id = task.params.get("environment_id") or task.params.get("source_env_id")
+                record.environment_id = self._resolve_environment_id(session, raw_env_id)
                 record.started_at = task.started_at
                 record.finished_at = task.finished_at
-                record.params = task.params
-                record.result = task.result
+                
+                # Ensure params and result are JSON serializable
+                def json_serializable(obj):
+                    with belief_scope("TaskPersistenceService.json_serializable"):
+                        if isinstance(obj, dict):
+                            return {k: json_serializable(v) for k, v in obj.items()}
+                        elif isinstance(obj, list):
+                            return [json_serializable(v) for v in obj]
+                        elif isinstance(obj, datetime):
+                            return obj.isoformat()
+                        return obj
+
+                record.params = json_serializable(task.params)
+                record.result = json_serializable(task.result)
                 
                 # Store logs as JSON, converting datetime to string
                 record.logs = []
@@ -59,6 +132,9 @@ class TaskPersistenceService:
                     log_dict = log.dict()
                     if isinstance(log_dict.get('timestamp'), datetime):
                         log_dict['timestamp'] = log_dict['timestamp'].isoformat()
+                    # Also clean up any datetimes in context
+                    if log_dict.get('context'):
+                        log_dict['context'] = json_serializable(log_dict['context'])
                     record.logs.append(log_dict)
                 
                 # Extract error if failed
@@ -108,21 +184,28 @@ class TaskPersistenceService:
                 for record in records:
                     try:
                         logs = []
-                        if record.logs:
-                            for log_data in record.logs:
-                                # Handle timestamp conversion if it's a string
-                                if isinstance(log_data.get('timestamp'), str):
-                                    log_data['timestamp'] = datetime.fromisoformat(log_data['timestamp'])
+                        logs_payload = self._json_load_if_needed(record.logs)
+                        if isinstance(logs_payload, list):
+                            for log_data in logs_payload:
+                                if not isinstance(log_data, dict):
+                                    continue
+                                log_data = dict(log_data)
+                                log_data['timestamp'] = self._parse_datetime(log_data.get('timestamp')) or datetime.utcnow()
                                 logs.append(LogEntry(**log_data))
 
+                        started_at = self._parse_datetime(record.started_at)
+                        finished_at = self._parse_datetime(record.finished_at)
+                        params = self._json_load_if_needed(record.params)
+                        result = self._json_load_if_needed(record.result)
+
                         task = Task(
                             id=record.id,
                             plugin_id=record.type,
                             status=TaskStatus(record.status),
-                            started_at=record.started_at,
-                            finished_at=record.finished_at,
-                            params=record.params or {},
-                            result=record.result,
+                            started_at=started_at,
+                            finished_at=finished_at,
+                            params=params if isinstance(params, dict) else {},
+                            result=result,
                             logs=logs
                         )
                         loaded_tasks.append(task)
@@ -155,4 +238,217 @@ class TaskPersistenceService:
     # [/DEF:delete_tasks:Function]
 
 # [/DEF:TaskPersistenceService:Class]
-# [/DEF:TaskPersistenceModule:Module]
+
+# [DEF:TaskLogPersistenceService:Class]
+# @SEMANTICS: persistence, service, database, log, sqlalchemy
+# @PURPOSE: Provides methods to save and query task logs from the task_logs table.
+# @TIER: CRITICAL
+# @RELATION: DEPENDS_ON -> TaskLogRecord
+# @INVARIANT: Log entries are batch-inserted for performance.
+class TaskLogPersistenceService:
+    """
+    Service for persisting and querying task logs.
+    Supports batch inserts, filtering, and statistics.
+    """
+    
+    # [DEF:__init__:Function]
+    # @TIER: STANDARD
+    # @PURPOSE: Initializes the TaskLogPersistenceService
+    # @PRE: config is provided or defaults are used
+    # @POST: Service is ready for log persistence
+    def __init__(self, config=None):
+        pass
+    # [/DEF:__init__:Function]
+    
+    # [DEF:add_logs:Function]
+    # @PURPOSE: Batch insert log entries for a task.
+    # @PRE: logs is a list of LogEntry objects.
+    # @POST: All logs inserted into task_logs table.
+    # @PARAM: task_id (str) - The task ID.
+    # @PARAM: logs (List[LogEntry]) - Log entries to insert.
+    # @SIDE_EFFECT: Writes to task_logs table.
+    def add_logs(self, task_id: str, logs: List[LogEntry]) -> None:
+        if not logs:
+            return
+        with belief_scope("TaskLogPersistenceService.add_logs", f"task_id={task_id}"):
+            session: Session = TasksSessionLocal()
+            try:
+                for log in logs:
+                    record = TaskLogRecord(
+                        task_id=task_id,
+                        timestamp=log.timestamp,
+                        level=log.level,
+                        source=log.source or "system",
+                        message=log.message,
+                        metadata_json=json.dumps(log.metadata) if log.metadata else None
+                    )
+                    session.add(record)
+                session.commit()
+            except Exception as e:
+                session.rollback()
+                logger.error(f"Failed to add logs for task {task_id}: {e}")
+            finally:
+                session.close()
+    # [/DEF:add_logs:Function]
+    
+    # [DEF:get_logs:Function]
+    # @PURPOSE: Query logs for a task with filtering and pagination.
+    # @PRE: task_id is a valid task ID.
+    # @POST: Returns list of TaskLog objects matching filters.
+    # @PARAM: task_id (str) - The task ID.
+    # @PARAM: log_filter (LogFilter) - Filter parameters.
+    # @RETURN: List[TaskLog] - Filtered log entries.
+    def get_logs(self, task_id: str, log_filter: LogFilter) -> List[TaskLog]:
+        with belief_scope("TaskLogPersistenceService.get_logs", f"task_id={task_id}"):
+            session: Session = TasksSessionLocal()
+            try:
+                query = session.query(TaskLogRecord).filter(TaskLogRecord.task_id == task_id)
+                
+                # Apply filters
+                if log_filter.level:
+                    query = query.filter(TaskLogRecord.level == log_filter.level.upper())
+                if log_filter.source:
+                    query = query.filter(TaskLogRecord.source == log_filter.source)
+                if log_filter.search:
+                    search_pattern = f"%{log_filter.search}%"
+                    query = query.filter(TaskLogRecord.message.ilike(search_pattern))
+                
+                # Order by timestamp ascending (oldest first)
+                query = query.order_by(TaskLogRecord.timestamp.asc())
+                
+                # Apply pagination
+                records = query.offset(log_filter.offset).limit(log_filter.limit).all()
+                
+                logs = []
+                for record in records:
+                    metadata = None
+                    if record.metadata_json:
+                        try:
+                            metadata = json.loads(record.metadata_json)
+                        except json.JSONDecodeError:
+                            metadata = None
+                    
+                    logs.append(TaskLog(
+                        id=record.id,
+                        task_id=record.task_id,
+                        timestamp=record.timestamp,
+                        level=record.level,
+                        source=record.source,
+                        message=record.message,
+                        metadata=metadata
+                    ))
+                
+                return logs
+            finally:
+                session.close()
+    # [/DEF:get_logs:Function]
+    
+    # [DEF:get_log_stats:Function]
+    # @PURPOSE: Get statistics about logs for a task.
+    # @PRE: task_id is a valid task ID.
+    # @POST: Returns LogStats with counts by level and source.
+    # @PARAM: task_id (str) - The task ID.
+    # @RETURN: LogStats - Statistics about task logs.
+    def get_log_stats(self, task_id: str) -> LogStats:
+        with belief_scope("TaskLogPersistenceService.get_log_stats", f"task_id={task_id}"):
+            session: Session = TasksSessionLocal()
+            try:
+                # Get total count
+                total_count = session.query(TaskLogRecord).filter(
+                    TaskLogRecord.task_id == task_id
+                ).count()
+                
+                # Get counts by level
+                from sqlalchemy import func
+                level_counts = session.query(
+                    TaskLogRecord.level,
+                    func.count(TaskLogRecord.id)
+                ).filter(
+                    TaskLogRecord.task_id == task_id
+                ).group_by(TaskLogRecord.level).all()
+                
+                by_level = {level: count for level, count in level_counts}
+                
+                # Get counts by source
+                source_counts = session.query(
+                    TaskLogRecord.source,
+                    func.count(TaskLogRecord.id)
+                ).filter(
+                    TaskLogRecord.task_id == task_id
+                ).group_by(TaskLogRecord.source).all()
+                
+                by_source = {source: count for source, count in source_counts}
+                
+                return LogStats(
+                    total_count=total_count,
+                    by_level=by_level,
+                    by_source=by_source
+                )
+            finally:
+                session.close()
+    # [/DEF:get_log_stats:Function]
+    
+    # [DEF:get_sources:Function]
+    # @PURPOSE: Get unique sources for a task's logs.
+    # @PRE: task_id is a valid task ID.
+    # @POST: Returns list of unique source strings.
+    # @PARAM: task_id (str) - The task ID.
+    # @RETURN: List[str] - Unique source names.
+    def get_sources(self, task_id: str) -> List[str]:
+        with belief_scope("TaskLogPersistenceService.get_sources", f"task_id={task_id}"):
+            session: Session = TasksSessionLocal()
+            try:
+                from sqlalchemy import distinct
+                sources = session.query(distinct(TaskLogRecord.source)).filter(
+                    TaskLogRecord.task_id == task_id
+                ).all()
+                return [s[0] for s in sources]
+            finally:
+                session.close()
+    # [/DEF:get_sources:Function]
+    
+    # [DEF:delete_logs_for_task:Function]
+    # @PURPOSE: Delete all logs for a specific task.
+    # @PRE: task_id is a valid task ID.
+    # @POST: All logs for the task are deleted.
+    # @PARAM: task_id (str) - The task ID.
+    # @SIDE_EFFECT: Deletes from task_logs table.
+    def delete_logs_for_task(self, task_id: str) -> None:
+        with belief_scope("TaskLogPersistenceService.delete_logs_for_task", f"task_id={task_id}"):
+            session: Session = TasksSessionLocal()
+            try:
+                session.query(TaskLogRecord).filter(
+                    TaskLogRecord.task_id == task_id
+                ).delete(synchronize_session=False)
+                session.commit()
+            except Exception as e:
+                session.rollback()
+                logger.error(f"Failed to delete logs for task {task_id}: {e}")
+            finally:
+                session.close()
+    # [/DEF:delete_logs_for_task:Function]
+    
+    # [DEF:delete_logs_for_tasks:Function]
+    # @PURPOSE: Delete all logs for multiple tasks.
+    # @PRE: task_ids is a list of task IDs.
+    # @POST: All logs for the tasks are deleted.
+    # @PARAM: task_ids (List[str]) - List of task IDs.
+    def delete_logs_for_tasks(self, task_ids: List[str]) -> None:
+        if not task_ids:
+            return
+        with belief_scope("TaskLogPersistenceService.delete_logs_for_tasks"):
+            session: Session = TasksSessionLocal()
+            try:
+                session.query(TaskLogRecord).filter(
+                    TaskLogRecord.task_id.in_(task_ids)
+                ).delete(synchronize_session=False)
+                session.commit()
+            except Exception as e:
+                session.rollback()
+                logger.error(f"Failed to delete logs for tasks: {e}")
+            finally:
+                session.close()
+    # [/DEF:delete_logs_for_tasks:Function]
+
+# [/DEF:TaskLogPersistenceService:Class]
+# [/DEF:TaskPersistenceModule:Module]

backend/src/core/task_manager/task_logger.py

@@ -0,0 +1,177 @@
+# [DEF:TaskLoggerModule:Module]
+# @SEMANTICS: task, logger, context, plugin, attribution
+# @PURPOSE: Provides a dedicated logger for tasks with automatic source attribution.
+# @LAYER: Core
+# @RELATION: DEPENDS_ON -> TaskManager, CALLS -> TaskManager._add_log
+# @TIER: CRITICAL
+# @INVARIANT: Each TaskLogger instance is bound to a specific task_id and default source.
+
+# [SECTION: IMPORTS]
+from typing import Dict, Any, Optional, Callable
+# [/SECTION]
+
+# [DEF:TaskLogger:Class]
+# @SEMANTICS: logger, task, source, attribution
+# @PURPOSE: A wrapper around TaskManager._add_log that carries task_id and source context.
+# @TIER: CRITICAL
+# @INVARIANT: All log calls include the task_id and source.
+# @TEST_DATA: task_logger -> {"task_id": "test_123", "source": "test_plugin"}
+# @UX_STATE: Idle -> Logging -> (system records log)
+class TaskLogger:
+    """
+    A dedicated logger for tasks that automatically tags logs with source attribution.
+    
+    Usage:
+        logger = TaskLogger(task_id="abc123", add_log_fn=task_manager._add_log, source="plugin")
+        logger.info("Starting backup process")
+        logger.error("Failed to connect", metadata={"error_code": 500})
+        
+        # Create sub-logger with different source
+        api_logger = logger.with_source("superset_api")
+        api_logger.info("Fetching dashboards")
+    """
+    
+    # [DEF:__init__:Function]
+    # @PURPOSE: Initialize the TaskLogger with task context.
+    # @PRE: add_log_fn is a callable that accepts (task_id, level, message, context, source, metadata).
+    # @POST: TaskLogger is ready to log messages.
+    # @PARAM: task_id (str) - The ID of the task.
+    # @PARAM: add_log_fn (Callable) - Function to add log to TaskManager.
+    # @PARAM: source (str) - Default source for logs (default: "plugin").
+    def __init__(
+        self, 
+        task_id: str, 
+        add_log_fn: Callable, 
+        source: str = "plugin"
+    ):
+        self._task_id = task_id
+        self._add_log = add_log_fn
+        self._default_source = source
+    # [/DEF:__init__:Function]
+    
+    # [DEF:with_source:Function]
+    # @PURPOSE: Create a sub-logger with a different default source.
+    # @PRE: source is a non-empty string.
+    # @POST: Returns new TaskLogger with the same task_id but different source.
+    # @PARAM: source (str) - New default source.
+    # @RETURN: TaskLogger - New logger instance.
+    def with_source(self, source: str) -> "TaskLogger":
+        """Create a sub-logger with a different source context."""
+        return TaskLogger(
+            task_id=self._task_id,
+            add_log_fn=self._add_log,
+            source=source
+        )
+    # [/DEF:with_source:Function]
+    
+    # [DEF:_log:Function]
+    # @PURPOSE: Internal method to log a message at a given level.
+    # @PRE: level is a valid log level string.
+    # @POST: Log entry added via add_log_fn.
+    # @PARAM: level (str) - Log level (DEBUG, INFO, WARNING, ERROR).
+    # @PARAM: message (str) - Log message.
+    # @PARAM: source (Optional[str]) - Override source for this log entry.
+    # @PARAM: metadata (Optional[Dict]) - Additional structured data.
+    # @UX_STATE: Logging -> (writing internal log)
+    def _log(
+        self, 
+        level: str, 
+        message: str, 
+        source: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None
+    ) -> None:
+        """Internal logging method."""
+        self._add_log(
+            task_id=self._task_id,
+            level=level,
+            message=message,
+            source=source or self._default_source,
+            metadata=metadata
+        )
+    # [/DEF:_log:Function]
+    
+    # [DEF:debug:Function]
+    # @PURPOSE: Log a DEBUG level message.
+    # @PRE: message is a string.
+    # @POST: Log entry added via internally with DEBUG level.
+    # @PARAM: message (str) - Log message.
+    # @PARAM: source (Optional[str]) - Override source.
+    # @PARAM: metadata (Optional[Dict]) - Additional data.
+    def debug(
+        self, 
+        message: str, 
+        source: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None
+    ) -> None:
+        self._log("DEBUG", message, source, metadata)
+    # [/DEF:debug:Function]
+    
+    # [DEF:info:Function]
+    # @PURPOSE: Log an INFO level message.
+    # @PRE: message is a string.
+    # @POST: Log entry added internally with INFO level.
+    # @PARAM: message (str) - Log message.
+    # @PARAM: source (Optional[str]) - Override source.
+    # @PARAM: metadata (Optional[Dict]) - Additional data.
+    def info(
+        self, 
+        message: str, 
+        source: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None
+    ) -> None:
+        self._log("INFO", message, source, metadata)
+    # [/DEF:info:Function]
+    
+    # [DEF:warning:Function]
+    # @PURPOSE: Log a WARNING level message.
+    # @PRE: message is a string.
+    # @POST: Log entry added internally with WARNING level.
+    # @PARAM: message (str) - Log message.
+    # @PARAM: source (Optional[str]) - Override source.
+    # @PARAM: metadata (Optional[Dict]) - Additional data.
+    def warning(
+        self, 
+        message: str, 
+        source: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None
+    ) -> None:
+        self._log("WARNING", message, source, metadata)
+    # [/DEF:warning:Function]
+    
+    # [DEF:error:Function]
+    # @PURPOSE: Log an ERROR level message.
+    # @PRE: message is a string.
+    # @POST: Log entry added internally with ERROR level.
+    # @PARAM: message (str) - Log message.
+    # @PARAM: source (Optional[str]) - Override source.
+    # @PARAM: metadata (Optional[Dict]) - Additional data.
+    def error(
+        self, 
+        message: str, 
+        source: Optional[str] = None,
+        metadata: Optional[Dict[str, Any]] = None
+    ) -> None:
+        self._log("ERROR", message, source, metadata)
+    # [/DEF:error:Function]
+    
+    # [DEF:progress:Function]
+    # @PURPOSE: Log a progress update with percentage.
+    # @PRE: percent is between 0 and 100.
+    # @POST: Log entry with progress metadata added.
+    # @PARAM: message (str) - Progress message.
+    # @PARAM: percent (float) - Progress percentage (0-100).
+    # @PARAM: source (Optional[str]) - Override source.
+    def progress(
+        self, 
+        message: str, 
+        percent: float,
+        source: Optional[str] = None
+    ) -> None:
+        """Log a progress update with percentage."""
+        metadata = {"progress": min(100, max(0, percent))}
+        self._log("INFO", message, source, metadata)
+    # [/DEF:progress:Function]
+
+# [/DEF:TaskLogger:Class]
+
+# [/DEF:TaskLoggerModule:Module]

backend/src/core/utils/dataset_mapper.py

@@ -11,7 +11,7 @@
 # [SECTION: IMPORTS]
 import pandas as pd  # type: ignore
 import psycopg2  # type: ignore
-from typing import Dict, List, Optional, Any
+from typing import Dict, Optional, Any
 from ..logger import logger as app_logger, belief_scope
 # [/SECTION]
 

backend/src/core/utils/fileio.py

@@ -19,7 +19,6 @@ from datetime import date, datetime
 import shutil
 import zlib
 from dataclasses import dataclass
-import yaml
 from ..logger import logger as app_logger, belief_scope
 # [/SECTION]
 

backend/src/core/utils/matching.py

@@ -42,6 +42,8 @@ def suggest_mappings(source_databases: List[Dict], target_databases: List[Dict],
             name, score, index = match
             if score >= threshold:
                 suggestions.append({
+                    "source_db": s_db['database_name'],
+                    "target_db": target_databases[index]['database_name'],
                     "source_db_uuid": s_db['uuid'],
                     "target_db_uuid": target_databases[index]['uuid'],
                     "confidence": score / 100.0

backend/src/core/utils/network.py

@@ -118,14 +118,41 @@ class APIClient:
     def _init_session(self) -> requests.Session:
         with belief_scope("_init_session"):
             session = requests.Session()
+        
+        # Create a custom adapter that handles TLS issues
+        class TLSAdapter(HTTPAdapter):
+            def init_poolmanager(self, connections, maxsize, block=False):
+                from urllib3.poolmanager import PoolManager
+                import ssl
+                
+                # Create an SSL context that ignores TLSv1 unrecognized name errors
+                ctx = ssl.create_default_context()
+                ctx.set_ciphers('HIGH:!aNULL:!eNULL:!EXPORT:!DES:!RC4:!MD5:!PSK:!SRP:!CAMELLIA')
+                
+                # Ignore TLSV1_UNRECOGNIZED_NAME errors by disabling hostname verification
+                # This is safe when verify_ssl is false (we're already not verifying the certificate)
+                ctx.check_hostname = False
+                
+                self.poolmanager = PoolManager(
+                    num_pools=connections,
+                    maxsize=maxsize,
+                    block=block,
+                    ssl_context=ctx
+                )
+        
         retries = Retry(total=3, backoff_factor=0.5, status_forcelist=[500, 502, 503, 504])
-        adapter = HTTPAdapter(max_retries=retries)
+        adapter = TLSAdapter(max_retries=retries)
         session.mount('http://', adapter)
         session.mount('https://', adapter)
+        
         if not self.request_settings["verify_ssl"]:
             urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
             app_logger.warning("[_init_session][State] SSL verification disabled.")
-        session.verify = self.request_settings["verify_ssl"]
+            # When verify_ssl is false, we should also disable hostname verification
+            session.verify = False
+        else:
+            session.verify = True
+        
         return session
     # [/DEF:_init_session:Function]
 
@@ -140,7 +167,16 @@ class APIClient:
             app_logger.info("[authenticate][Enter] Authenticating to %s", self.base_url)
             try:
                 login_url = f"{self.base_url}/security/login"
+                # Log the payload keys and values (masking password)
+                masked_auth = {k: ("******" if k == "password" else v) for k, v in self.auth.items()}
+                app_logger.info(f"[authenticate][Debug] Login URL: {login_url}")
+                app_logger.info(f"[authenticate][Debug] Auth payload: {masked_auth}")
+                
                 response = self.session.post(login_url, json=self.auth, timeout=self.request_settings["timeout"])
+                
+                if response.status_code != 200:
+                    app_logger.error(f"[authenticate][Error] Status: {response.status_code}, Response: {response.text}")
+                
                 response.raise_for_status()
                 access_token = response.json()["access_token"]
                 
@@ -153,6 +189,9 @@ class APIClient:
                 app_logger.info("[authenticate][Exit] Authenticated successfully.")
                 return self._tokens
             except requests.exceptions.HTTPError as e:
+                status_code = e.response.status_code if e.response is not None else None
+                if status_code in [502, 503, 504]:
+                    raise NetworkError(f"Environment unavailable during authentication (Status {status_code})", status_code=status_code) from e
                 raise AuthenticationError(f"Authentication failed: {e}") from e
             except (requests.exceptions.RequestException, KeyError) as e:
                 raise NetworkError(f"Network or parsing error during authentication: {e}") from e
@@ -165,7 +204,8 @@ class APIClient:
     # @POST: Returns headers including auth tokens.
     def headers(self) -> Dict[str, str]:
         with belief_scope("headers"):
-            if not self._authenticated: self.authenticate()
+            if not self._authenticated:
+                self.authenticate()
             return {
             "Authorization": f"Bearer {self._tokens['access_token']}",
             "X-CSRFToken": self._tokens.get("csrf_token", ""),
@@ -188,7 +228,8 @@ class APIClient:
         with belief_scope("request"):
             full_url = f"{self.base_url}{endpoint}"
         _headers = self.headers.copy()
-        if headers: _headers.update(headers)
+        if headers:
+            _headers.update(headers)
         
         try:
             response = self.session.request(method, full_url, headers=_headers, **kwargs)
@@ -209,9 +250,14 @@ class APIClient:
     def _handle_http_error(self, e: requests.exceptions.HTTPError, endpoint: str):
         with belief_scope("_handle_http_error"):
             status_code = e.response.status_code
-        if status_code == 404: raise DashboardNotFoundError(endpoint) from e
-        if status_code == 403: raise PermissionDeniedError() from e
-        if status_code == 401: raise AuthenticationError() from e
+        if status_code == 502 or status_code == 503 or status_code == 504:
+            raise NetworkError(f"Environment unavailable (Status {status_code})", status_code=status_code) from e
+        if status_code == 404:
+            raise DashboardNotFoundError(endpoint) from e
+        if status_code == 403:
+            raise PermissionDeniedError() from e
+        if status_code == 401:
+            raise AuthenticationError() from e
         raise SupersetAPIError(f"API Error {status_code}: {e.response.text}") from e
     # [/DEF:_handle_http_error:Function]
 
@@ -223,9 +269,12 @@ class APIClient:
     # @POST: Raises a NetworkError.
     def _handle_network_error(self, e: requests.exceptions.RequestException, url: str):
         with belief_scope("_handle_network_error"):
-            if isinstance(e, requests.exceptions.Timeout): msg = "Request timeout"
-            elif isinstance(e, requests.exceptions.ConnectionError): msg = "Connection error"
-            else: msg = f"Unknown network error: {e}"
+            if isinstance(e, requests.exceptions.Timeout):
+                msg = "Request timeout"
+            elif isinstance(e, requests.exceptions.ConnectionError):
+                msg = "Connection error"
+            else:
+                msg = f"Unknown network error: {e}"
             raise NetworkError(msg, url=url) from e
     # [/DEF:_handle_network_error:Function]
 
@@ -242,7 +291,9 @@ class APIClient:
     def upload_file(self, endpoint: str, file_info: Dict[str, Any], extra_data: Optional[Dict] = None, timeout: Optional[int] = None) -> Dict:
         with belief_scope("upload_file"):
             full_url = f"{self.base_url}{endpoint}"
-        _headers = self.headers.copy(); _headers.pop('Content-Type', None)
+            _headers = self.headers.copy()
+            _headers.pop('Content-Type', None)
+        
         
         file_obj, file_name, form_field = file_info.get("file_obj"), file_info.get("file_name"), file_info.get("form_field", "file")
         
@@ -304,20 +355,40 @@ class APIClient:
     # @PURPOSE: Автоматически собирает данные со всех страниц пагинированного эндпоинта.
     # @PARAM: endpoint (str) - Эндпоинт.
     # @PARAM: pagination_options (Dict[str, Any]) - Опции пагинации.
-    # @PRE: pagination_options must contain 'base_query', 'total_count', 'results_field'.
+    # @PRE: pagination_options must contain 'base_query', 'results_field'. 'total_count' is optional.
     # @POST: Returns all items across all pages.
     # @RETURN: List[Any] - Список данных.
     def fetch_paginated_data(self, endpoint: str, pagination_options: Dict[str, Any]) -> List[Any]:
         with belief_scope("fetch_paginated_data"):
-            base_query, total_count = pagination_options["base_query"], pagination_options["total_count"]
-        results_field, page_size = pagination_options["results_field"], base_query.get('page_size')
-        assert page_size and page_size > 0, "'page_size' must be a positive number."
+            base_query = pagination_options["base_query"]
+            total_count = pagination_options.get("total_count")
+        
+        results_field = pagination_options["results_field"]
+        count_field = pagination_options.get("count_field", "count")
+        page_size = base_query.get('page_size', 1000)
+        assert page_size > 0, "'page_size' must be a positive number."
         
         results = []
-        for page in range((total_count + page_size - 1) // page_size):
+        page = 0
+        
+        # Fetch first page to get data and total count if not provided
+        query = {**base_query, 'page': page}
+        response_json = cast(Dict[str, Any], self.request("GET", endpoint, params={"q": json.dumps(query)}))
+        
+        first_page_results = response_json.get(results_field, [])
+        results.extend(first_page_results)
+        
+        if total_count is None:
+            total_count = response_json.get(count_field, len(first_page_results))
+            app_logger.debug(f"[fetch_paginated_data][State] Total count resolved from first page: {total_count}")
+
+        # Fetch remaining pages
+        total_pages = (total_count + page_size - 1) // page_size
+        for page in range(1, total_pages):
             query = {**base_query, 'page': page}
             response_json = cast(Dict[str, Any], self.request("GET", endpoint, params={"q": json.dumps(query)}))
             results.extend(response_json.get(results_field, []))
+            
         return results
     # [/DEF:fetch_paginated_data:Function]
 

backend/src/dependencies.py

@@ -1,11 +1,10 @@
 # [DEF:Dependencies:Module]
 # @SEMANTICS: dependency, injection, singleton, factory, auth, jwt
-# @PURPOSE: Manages the creation and provision of shared application dependencies, such as the PluginLoader and TaskManager, to avoid circular imports.
+# @PURPOSE: Manages creation and provision of shared application dependencies, such as PluginLoader and TaskManager, to avoid circular imports.
 # @LAYER: Core
-# @RELATION: Used by the main app and API routers to get access to shared instances.
+# @RELATION: Used by main app and API routers to get access to shared instances.
 
 from pathlib import Path
-from typing import Optional
 from fastapi import Depends, HTTPException, status
 from fastapi.security import OAuth2PasswordBearer
 from jose import JWTError
@@ -13,30 +12,31 @@ from .core.plugin_loader import PluginLoader
 from .core.task_manager import TaskManager
 from .core.config_manager import ConfigManager
 from .core.scheduler import SchedulerService
+from .services.resource_service import ResourceService
+from .services.mapping_service import MappingService
 from .core.database import init_db, get_auth_db
-from .core.logger import logger, belief_scope
+from .core.logger import logger
 from .core.auth.jwt import decode_token
 from .core.auth.repository import AuthRepository
 from .models.auth import User
 
-# Initialize singletons
-# Use absolute path relative to this file to ensure plugins are found regardless of CWD
-project_root = Path(__file__).parent.parent.parent
-config_path = project_root / "config.json"
-config_manager = ConfigManager(config_path=str(config_path))
-
-# Initialize database before any other services that might use it
-init_db()
+# Initialize singletons
+# Use absolute path relative to this file to ensure plugins are found regardless of CWD
+project_root = Path(__file__).parent.parent.parent
+config_path = project_root / "config.json"
+
+# Initialize database before services that use persisted configuration.
+init_db()
+config_manager = ConfigManager(config_path=str(config_path))
 
 # [DEF:get_config_manager:Function]
-# @PURPOSE: Dependency injector for the ConfigManager.
+# @PURPOSE: Dependency injector for ConfigManager.
 # @PRE: Global config_manager must be initialized.
 # @POST: Returns shared ConfigManager instance.
 # @RETURN: ConfigManager - The shared config manager instance.
 def get_config_manager() -> ConfigManager:
-    """Dependency injector for the ConfigManager."""
-    with belief_scope("get_config_manager"):
-        return config_manager
+    """Dependency injector for ConfigManager."""
+    return config_manager
 # [/DEF:get_config_manager:Function]
 
 plugin_dir = Path(__file__).parent / "plugins"
@@ -51,72 +51,91 @@ logger.info("TaskManager initialized")
 scheduler_service = SchedulerService(task_manager, config_manager)
 logger.info("SchedulerService initialized")
 
+resource_service = ResourceService()
+logger.info("ResourceService initialized")
+
 # [DEF:get_plugin_loader:Function]
-# @PURPOSE: Dependency injector for the PluginLoader.
+# @PURPOSE: Dependency injector for PluginLoader.
 # @PRE: Global plugin_loader must be initialized.
 # @POST: Returns shared PluginLoader instance.
 # @RETURN: PluginLoader - The shared plugin loader instance.
 def get_plugin_loader() -> PluginLoader:
-    """Dependency injector for the PluginLoader."""
-    with belief_scope("get_plugin_loader"):
-        return plugin_loader
+    """Dependency injector for PluginLoader."""
+    return plugin_loader
 # [/DEF:get_plugin_loader:Function]
 
 # [DEF:get_task_manager:Function]
-# @PURPOSE: Dependency injector for the TaskManager.
+# @PURPOSE: Dependency injector for TaskManager.
 # @PRE: Global task_manager must be initialized.
 # @POST: Returns shared TaskManager instance.
 # @RETURN: TaskManager - The shared task manager instance.
 def get_task_manager() -> TaskManager:
-    """Dependency injector for the TaskManager."""
-    with belief_scope("get_task_manager"):
-        return task_manager
+    """Dependency injector for TaskManager."""
+    return task_manager
 # [/DEF:get_task_manager:Function]
 
 # [DEF:get_scheduler_service:Function]
-# @PURPOSE: Dependency injector for the SchedulerService.
+# @PURPOSE: Dependency injector for SchedulerService.
 # @PRE: Global scheduler_service must be initialized.
 # @POST: Returns shared SchedulerService instance.
 # @RETURN: SchedulerService - The shared scheduler service instance.
 def get_scheduler_service() -> SchedulerService:
-    """Dependency injector for the SchedulerService."""
-    with belief_scope("get_scheduler_service"):
-        return scheduler_service
+    """Dependency injector for SchedulerService."""
+    return scheduler_service
 # [/DEF:get_scheduler_service:Function]
 
+# [DEF:get_resource_service:Function]
+# @PURPOSE: Dependency injector for ResourceService.
+# @PRE: Global resource_service must be initialized.
+# @POST: Returns shared ResourceService instance.
+# @RETURN: ResourceService - The shared resource service instance.
+def get_resource_service() -> ResourceService:
+    """Dependency injector for ResourceService."""
+    return resource_service
+# [/DEF:get_resource_service:Function]
+
+# [DEF:get_mapping_service:Function]
+# @PURPOSE: Dependency injector for MappingService.
+# @PRE: Global config_manager must be initialized.
+# @POST: Returns new MappingService instance.
+# @RETURN: MappingService - A new mapping service instance.
+def get_mapping_service() -> MappingService:
+    """Dependency injector for MappingService."""
+    return MappingService(config_manager)
+# [/DEF:get_mapping_service:Function]
+
 # [DEF:oauth2_scheme:Variable]
 # @PURPOSE: OAuth2 password bearer scheme for token extraction.
 oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/api/auth/login")
 # [/DEF:oauth2_scheme:Variable]
 
 # [DEF:get_current_user:Function]
-# @PURPOSE: Dependency for retrieving the currently authenticated user from a JWT.
+# @PURPOSE: Dependency for retrieving currently authenticated user from a JWT.
 # @PRE:     JWT token provided in Authorization header.
-# @POST:    Returns the User object if token is valid.
+# @POST:    Returns User object if token is valid.
 # @THROW:   HTTPException 401 if token is invalid or user not found.
 # @PARAM:   token (str) - Extracted JWT token.
 # @PARAM:   db (Session) - Auth database session.
 # @RETURN:  User - The authenticated user.
 def get_current_user(token: str = Depends(oauth2_scheme), db = Depends(get_auth_db)):
-    with belief_scope("get_current_user"):
-        credentials_exception = HTTPException(
-            status_code=status.HTTP_401_UNAUTHORIZED,
-            detail="Could not validate credentials",
-            headers={"WWW-Authenticate": "Bearer"},
-        )
-        try:
-            payload = decode_token(token)
-            username: str = payload.get("sub")
-            if username is None:
-                raise credentials_exception
-        except JWTError:
+    credentials_exception = HTTPException(
+        status_code=status.HTTP_401_UNAUTHORIZED,
+        detail="Could not validate credentials",
+        headers={"WWW-Authenticate": "Bearer"},
+    )
+    try:
+        payload = decode_token(token)
+        username: str = payload.get("sub")
+        if username is None:
             raise credentials_exception
-            
-        repo = AuthRepository(db)
-        user = repo.get_user_by_username(username)
-        if user is None:
-            raise credentials_exception
-        return user
+    except JWTError:
+        raise credentials_exception
+        
+    repo = AuthRepository(db)
+    user = repo.get_user_by_username(username)
+    if user is None:
+        raise credentials_exception
+    return user
 # [/DEF:get_current_user:Function]
 
 # [DEF:has_permission:Function]
@@ -129,25 +148,24 @@ def get_current_user(token: str = Depends(oauth2_scheme), db = Depends(get_auth_
 # @RETURN:  User - The authenticated user if permission granted.
 def has_permission(resource: str, action: str):
     def permission_checker(current_user: User = Depends(get_current_user)):
-        with belief_scope("has_permission", f"{resource}:{action}"):
-            # Union of all permissions across all roles
-            for role in current_user.roles:
-                for perm in role.permissions:
-                    if perm.resource == resource and perm.action == action:
-                        return current_user
+        # Union of all permissions across all roles
+        for role in current_user.roles:
+            for perm in role.permissions:
+                if perm.resource == resource and perm.action == action:
+                    return current_user
+        
+        # Special case for Admin role (full access)
+        if any(role.name == "Admin" for role in current_user.roles):
+            return current_user
+        
+        from .core.auth.logger import log_security_event
+        log_security_event("PERMISSION_DENIED", current_user.username, {"resource": resource, "action": action})
             
-            # Special case for Admin role (full access)
-            if any(role.name == "Admin" for role in current_user.roles):
-                return current_user
-            
-            from .core.auth.logger import log_security_event
-            log_security_event("PERMISSION_DENIED", current_user.username, {"resource": resource, "action": action})
-                
-            raise HTTPException(
-                status_code=status.HTTP_403_FORBIDDEN,
-                detail=f"Permission denied for {resource}:{action}"
-            )
+        raise HTTPException(
+            status_code=status.HTTP_403_FORBIDDEN,
+            detail=f"Permission denied for {resource}:{action}"
+        )
     return permission_checker
 # [/DEF:has_permission:Function]
 
-# [/DEF:Dependencies:Module]
+# [/DEF:Dependencies:Module]

backend/src/models/__tests__/test_models.py

@@ -0,0 +1,36 @@
+# [DEF:test_models:Module]
+# @TIER: TRIVIAL
+# @PURPOSE: Unit tests for data models
+# @LAYER: Domain
+# @RELATION: VERIFIES -> src.models
+
+import sys
+from pathlib import Path
+
+# Add src to path
+sys.path.append(str(Path(__file__).parent.parent.parent.parent / "src"))
+
+from src.core.config_models import Environment
+from src.core.logger import belief_scope
+
+
+# [DEF:test_environment_model:Function]
+# @PURPOSE: Tests that Environment model correctly stores values.
+# @PRE: Environment class is available.
+# @POST: Values are verified.
+def test_environment_model():
+    with belief_scope("test_environment_model"):
+        env = Environment(
+            id="test-id",
+            name="test-env",
+            url="http://localhost:8088/api/v1",
+            username="admin",
+            password="password"
+        )
+        assert env.id == "test-id"
+        assert env.name == "test-env"
+        assert env.url == "http://localhost:8088/api/v1"
+# [/DEF:test_environment_model:Function]
+
+
+# [/DEF:test_models:Module]