измененные спеки таски

- 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

.kilocode/rules/specify-rules.md

@@ -32,6 +32,9 @@ 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 Build) (001-plugin-arch-svelte-ui)
 
@@ -52,9 +55,9 @@ cd src; pytest; ruff check .
 Python 3.9+ (Backend), Node.js 18+ (Frontend Build): Follow standard conventions
 
 ## Recent Changes
+- 019-superset-ux-redesign: Added Python 3.9+ (Backend), Node.js 18+ (Frontend) + FastAPI, SvelteKit, Tailwind CSS, SQLAlchemy, WebSocket (existing)
+- 017-llm-analysis-plugin: Added Python 3.9+ (Backend), Node.js 18+ (Frontend)
 - 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)
 
 
 <!-- MANUAL ADDITIONS START -->

.kilocode/workflows/speckit.analyze.md

@@ -63,6 +63,7 @@ Load only the minimal necessary context from each artifact:
 **From constitution:**
 
 - Load `.specify/memory/constitution.md` for principle validation
+- Load `semantic_protocol.md` for technical standard validation
 
 ### 3. Build Semantic Models
 

.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 `semantic_protocol.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 `semantic_protocol.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 FEATURE_SPEC, `ux_reference.md`, `semantic_protocol.md` and `.specify/memory/constitution.md`. Load IMPL_PLAN template (already copied).
 
 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
+   - Entity name, fields, relationships, validation rules.
-   - Validation rules from requirements
-   - State transitions if applicable
 
-2. **Generate API contracts** from functional requirements:
+2. **Design & Verify Contracts (Semantic Protocol)**:
-   - For each user action → endpoint
+   - **Drafting**: Define [DEF] Headers and Contracts for all new modules based on `semantic_protocol.md`.
-   - Use standard REST/GraphQL patterns
+   - **TIER Classification**: Explicitly assign `@TIER: [CRITICAL|STANDARD|TRIVIAL]` to each module.
-   - Output OpenAPI/GraphQL schema to `/contracts/`
+   - **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 +1,116 @@
+№ **speckit.tasks.md**
+### Modified Workflow
+
+```markdown
+description: Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
+handoffs: 
+  - label: Analyze For Consistency
+    agent: speckit.analyze
+    prompt: Run a project analysis for consistency
+    send: true
+  - label: Implement Project
+    agent: speckit.implement
+    prompt: Start the implementation in phases
+    send: true
+---
+
+## User Input
+
+```text
+$ARGUMENTS
+```
+
+You **MUST** consider the user input before proceeding (if not empty).
+
+## Outline
+
+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.
+
+2. **Load design documents**: Read from FEATURE_DIR:
+   - **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)
+
+3. **Execute task generation workflow**:
+   - **Architecture Analysis (CRITICAL)**: Scan existing codebase for patterns (DI, Auth, ORM).
+   - Load plan.md/spec.md.
+   - Generate tasks organized by user story.
+   - **Apply Fractal Co-location**: Ensure all unit tests are mapped to `__tests__` subdirectories relative to the code.
+   - Validate task completeness.
+
+4. **Generate tasks.md**: Use `.specify/templates/tasks-template.md` as structure.
+   - Phase 1: Context & Setup.
+   - Phase 2: Foundational tasks.
+   - Phase 3+: User Stories (Priority order).
+   - Final Phase: Polish.
+   - **Strict Constraint**: Ensure tasks follow the Co-location and Mocking rules below.
+
+5. **Report**: Output path to generated tasks.md and summary.
+
+Context for task generation: $ARGUMENTS
+
+## Task Generation Rules
+
+**CRITICAL**: Tasks MUST be actionable, specific, architecture-aware, and context-local.
+
+### Implementation & Testing Constraints (ANTI-LOOP & CO-LOCATION)
+
+To prevent infinite debugging loops and context fragmentation, apply these rules:
+
+1.  **Fractal Co-location Strategy (MANDATORY)**:
+    - **Rule**: Unit tests MUST live next to the code they verify.
+    - **Forbidden**: Do NOT create unit tests in root `tests/` or `backend/tests/`. Those are for E2E/Integration only.
+    - **Pattern (Python)**:
+      - Source: `src/domain/order/processing.py`
+      - Test Task: `Create tests in src/domain/order/__tests__/test_processing.py`
+    - **Pattern (Frontend)**:
+      - Source: `src/lib/components/UserCard.svelte`
+      - Test Task: `Create tests in src/lib/components/__tests__/UserCard.test.ts`
+
+2.  **Semantic Relations**:
+    - Test generation tasks must explicitly instruct to add the relation header: `# @RELATION: VERIFIES -> [TargetComponent]`
+
+3.  **Strict Mocking for Unit Tests**:
+    - Any task creating Unit Tests MUST specify: *"Use `unittest.mock.MagicMock` for heavy dependencies (DB sessions, Auth). Do NOT instantiate real service classes."*
+
+4.  **Schema/Model Separation**:
+    - Explicitly separate tasks for ORM Models (SQLAlchemy) and Pydantic Schemas.
+
+### UX Preservation (CRITICAL)
+
+- **Source of Truth**: `ux_reference.md` is the absolute standard.
+- **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:
+
+```text
+- [ ] [TaskID] [P?] [Story?] Description with file path
+```
+
+**Examples**:
+- ✅ `- [ ] T005 [US1] Create unit tests for OrderService in src/services/__tests__/test_order.py (Mock DB)`
+- ✅ `- [ ] T006 [US1] Implement OrderService in src/services/order.py`
+- ❌ `- [ ] T005 [US1] Create tests in backend/tests/test_order.py` (VIOLATION: Wrong location)
+
+### Task Organization & Phase Structure
+
+**Phase 1: Context & Setup**
+- **Goal**: Prepare environment and understand existing patterns.
+- **Mandatory Task**: `- [ ] T001 Analyze existing project structure, auth patterns, and `conftest.py` location`
+
+**Phase 2: Foundational (Data & Core)**
+- Database Models (ORM).
+- Pydantic Schemas (DTOs).
+- Core Service interfaces.
+
+**Phase 3+: User Stories (Iterative)**
+- **Step 1: Isolation Tests (Co-located)**: 
+  - `- [ ] Txxx [USx] Create unit tests for [Component] in [Path]/__tests__/test_[name].py`
+  - *Note: Specify using MagicMock for external deps.*
+- **Step 2: Implementation**: Services -> Endpoints.
+- **Step 3: Integration**: Wire up real dependencies (if E2E tests requested).
+- **Step 4: UX Verification**.
+
+**Final Phase: Polish**
+- Linting, formatting, final manual verify.

.kilocodemodes

@@ -13,20 +13,6 @@ customModes:
       - 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.
   - slug: semantic
     name: Semantic Agent
     roleDefinition: |-
@@ -43,3 +29,18 @@ 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`) - 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 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.
+    groups:
+      - read
+      - edit
+      - command
+      - mcp
+    source: project

.specify/memory/constitution.md

@@ -1,8 +1,9 @@
 <!--
 SYNC IMPACT REPORT
-Version: 1.9.0 (Security & RBAC Mandate)
+Version: 2.2.0 (ConfigManager Discipline)
 Changes:
-- Added Principle IX: Security & Access Control (Mandating granular permissions for plugins).
+- Updated Principle II: Added mandatory requirement for using `ConfigManager` (via dependency injection) for all configuration access to ensure consistent environment handling and avoid hardcoded values.
+- Updated Principle III: Refined `requestApi` requirement.
 Templates Status:
 - .specify/templates/plan-template.md: ✅ Aligned.
 - .specify/templates/spec-template.md: ✅ Aligned.
@@ -13,64 +14,42 @@ Templates Status:
 ## 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.
+The file `semantic_protocol.md` is the **sole and authoritative technical standard** for this project.
-- **Syntax**: `[DEF]` anchors, `@RELATION` tags, and metadata must match the Protocol specification.
+- **Law**: All code must adhere to the Axioms (Meaning First, Contract First, etc.) defined in the Protocol.
-- **Structure**: File layouts and headers must follow the "File Structure Standard".
+- **Syntax & Structure**: Anchors (`[DEF]`), Tags (`@KEY`), and File Structures must strictly match the Protocol.
-- **Workflow**: The technical steps for generating code must align with the Protocol.
+- **Compliance**: Any deviation from `semantic_protocol.md` constitutes a build failure.
 
-### II. Causal Validity (Contracts First)
+### II. Everything is a Plugin & Centralized Config
-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.
+All functional extensions, tools, or major features must be implemented as modular Plugins inheriting from `PluginBase`.
+- **Modularity**: Logic should not reside in standalone services or scripts unless strictly necessary for core infrastructure. This ensures a unified execution model via the `TaskManager`.
+- **Configuration Discipline**: All configuration access (environments, settings, paths) MUST use the `ConfigManager`. In the backend, the singleton instance MUST be obtained via dependency injection (`get_config_manager()`). Hardcoding environment IDs (e.g., "1") or paths is STRICTLY FORBIDDEN.
 
-### III. Immutability of Architecture
+### III. Unified Frontend Experience
-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.
+- **Component Reusability**: All UI elements MUST utilize the standardized Svelte component library (`src/lib/ui`) and centralized design tokens.
-- **Internationalization (i18n)**: All user-facing text MUST be extracted to the translation system (`src/lib/i18n`). Hardcoded strings in the UI are prohibited.
+- **Internationalization (i18n)**: All user-facing text MUST be extracted to the translation system (`src/lib/i18n`).
+- **Backend Communication**: All API requests MUST use the `requestApi` wrapper (or its derivatives like `fetchApi`, `postApi`) from `src/lib/api.js`. Direct use of the native `fetch` API for backend communication is FORBIDDEN to ensure consistent authentication (JWT) and error handling.
 
-### IX. Security & Access Control
+### IV. 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.
+- **Registration**: These permissions MUST be registered in the system database (`auth.db`) during initialization.
 
-## File Structure Standards
+### V. Independent Testability
-Refer to **Section III (File Structure Standard)** in `semantic_protocol.md` for the authoritative definitions of:
+Every feature specification MUST define "Independent Tests" that allow the feature to be verified in isolation.
-- Python Module Headers (`.py`)
+- **Decoupling**: Features should be designed such that they can be tested without requiring the full application state or external dependencies where possible.
-- Svelte Component Headers (`.svelte`)
+- **Verification**: A feature is not complete until its Independent Test scenarios pass.
 
-## Generation Workflow
+### VI. Asynchronous Execution
-The development process follows a streamlined single-phase workflow:
+All long-running or resource-intensive operations (migrations, analysis, backups, external API calls) MUST be executed as asynchronous tasks via the `TaskManager`.
-
+- **Non-Blocking**: HTTP API endpoints MUST NOT block on these operations; they should spawn a task and return a Task ID.
-### 1. Code Generation Phase (Mode: `code`)
+- **Observability**: Tasks MUST emit real-time status updates via the WebSocket infrastructure.
-**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.
+- **Authoritative Source**: `semantic_protocol.md` defines the specific implementation rules for Principle I.
-- **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
+**Version**: 2.2.0 | **Ratified**: 2025-12-19 | **Last Amended**: 2026-01-29

.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"

.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/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 +1,77 @@
-# Инструменты автоматизации Superset
+# Инструменты автоматизации Superset (ss-tools)
 
 ## Обзор
-Этот репозиторий содержит Python-скрипты и библиотеку (`superset_tool`) для автоматизации задач в Apache Superset, таких как:
+**ss-tools** — это современная платформа для автоматизации и управления экосистемой Apache Superset. Проект перешел от набора CLI-скриптов к полноценному веб-приложению с архитектурой Backend (FastAPI) + Frontend (SvelteKit), обеспечивая удобный интерфейс для сложных операций.
-- **Резервное копирование**: Экспорт всех дашбордов из экземпляра Superset в локальное хранилище.
+
-- **Миграция**: Перенос и преобразование дашбордов между разными средами Superset (например, Development, Sandbox, Production).
+## Основные возможности
+
+### 🚀 Миграция и управление дашбордами
+- **Dashboard Grid**: Удобный просмотр всех дашбордов во всех окружениях (Dev, Sandbox, Prod) в едином интерфейсе.
+- **Интеллектуальный маппинг**: Автоматическое и ручное сопоставление датасетов, таблиц и схем при переносе между окружениями.
+- **Проверка зависимостей**: Валидация наличия всех необходимых компонентов перед миграцией.
+
+### 📦 Резервное копирование
+- **Планировщик (Scheduler)**: Автоматическое создание резервных копий дашбордов и датасетов по расписанию.
+- **Хранилище**: Локальное хранение артефактов с возможностью управления через UI.
+
+### 🛠 Git Интеграция
+- **Version Control**: Возможность версионирования ассетов Superset.
+- **Git Dashboard**: Управление ветками, коммитами и деплоем изменений напрямую из интерфейса.
+- **Conflict Resolution**: Встроенные инструменты для разрешения конфликтов в YAML-конфигурациях.
+
+### 🤖 LLM Анализ (AI Plugin)
+- **Автоматический аудит**: Анализ состояния дашбордов на основе скриншотов и метаданных.
+- **Генерация документации**: Автоматическое описание датасетов и колонок с помощью LLM (OpenAI, OpenRouter и др.).
+- **Smart Validation**: Поиск аномалий и ошибок в визуализациях.
+
+### 🔐 Безопасность и администрирование
+- **Multi-user Auth**: Многопользовательский доступ с ролевой моделью (RBAC).
+- **Управление подключениями**: Централизованная настройка доступов к различным инстансам Superset.
+- **Логирование**: Подробная история выполнения всех фоновых задач.
+
+## Технологический стек
+- **Backend**: Python 3.9+, FastAPI, SQLAlchemy, APScheduler, Pydantic.
+- **Frontend**: Node.js 18+, SvelteKit, Tailwind CSS.
+- **Database**: SQLite (для хранения метаданных, задач и настроек доступа).
 
 ## Структура проекта
-- `backup_script.py`: Основной скрипт для выполнения запланированного резервного копирования дашбордов Superset.
+- `backend/` — Серверная часть, API и логика плагинов.
-- `migration_script.py`: Основной скрипт для переноса конкретных дашбордов между окружениями, включая переопределение соединений с базами данных.
+- `frontend/` — Клиентская часть (SvelteKit приложение).
-- `search_script.py`: Скрипт для поиска данных во всех доступных датасетах на сервере
+- `specs/` — Спецификации функций и планы реализации.
-- `run_mapper.py`: CLI-скрипт для маппинга метаданных датасетов.
+- `docs/` — Дополнительная документация по маппингу и разработке плагинов.
-- `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
+## Быстрый старт
 
 ### Требования
 - Python 3.9+
-- `pip` для управления пакетами.
+- Node.js 18+
-- `keyring` для безопасного хранения паролей.
+- Настроенный доступ к API Superset
 
-### Установка
+### Запуск
-1. **Клонируйте репозиторий:**
+Для автоматической настройки окружений и запуска обоих серверов (Backend & Frontend) используйте скрипт:
-    ```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
 ```
+*Скрипт создаст виртуальное окружение Python, установит зависимости `pip` и `npm`, и запустит сервисы.*
+
 Опции:
-- `--skip-install`: Пропустить проверку и установку зависимостей.
+- `--skip-install`: Пропустить установку зависимостей.
 - `--help`: Показать справку.
 
 Переменные окружения:
-- `BACKEND_PORT`: Порт для backend (по умолчанию 8000).
+- `BACKEND_PORT`: Порт API (по умолчанию 8000).
-- `FRONTEND_PORT`: Порт для frontend (по умолчанию 5173).
+- `FRONTEND_PORT`: Порт UI (по умолчанию 5173).
 
-### Скрипт резервного копирования (`backup_script.py`)
+## Разработка
-Для создания резервных копий дашбордов из настроенных окружений Superset:
+Проект следует строгим правилам разработки:
-```bash
+1. **Semantic Code Generation**: Использование протокола `semantic_protocol.md` для обеспечения надежности кода.
-python backup_script.py
+2. **Design by Contract (DbC)**: Определение предусловий и постусловий для ключевых функций.
-```
+3. **Constitution**: Соблюдение правил, описанных в конституции проекта в папке `.specify/`.
-Резервные копии сохраняются в `P:\Superset\010 Бекапы\` по умолчанию. Логи хранятся в `P:\Superset\010 Бекапы\Logs`.
 
-### Скрипт миграции (`migration_script.py`)
+### Полезные команды
-Для переноса конкретного дашборда:
+- **Backend**: `cd backend && .venv/bin/python3 -m uvicorn src.app:app --reload`
-```bash
+- **Frontend**: `cd frontend && npm run dev`
-python migration_script.py
+- **Тесты**: `cd backend && .venv/bin/pytest`
-```
 
-### Скрипт поиска (`search_script.py`)
+## Контакты и вклад
-Для поиска по текстовым паттернам в метаданных датасетов Superset:
+Для добавления новых функций или исправления ошибок, пожалуйста, ознакомьтесь с `docs/plugin_dev.md` и создайте соответствующую спецификацию в `specs/`.
-```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.

backend/get_full_key.py

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

backend/requirements.txt

@@ -50,4 +50,7 @@ psycopg2-binary
 openpyxl
 GitPython==3.1.44
 itsdangerous
-email-validator
+email-validator
+openai
+playwright
+tenacity

backend/src/api/routes/__init__.py

@@ -1 +1,3 @@
 from . import plugins, tasks, settings, connections, environments, mappings, migration, git, storage, admin
+
+__all__ = ['plugins', 'tasks', 'settings', 'connections', 'environments', 'mappings', 'migration', 'git', 'storage', 'admin']

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 ...models.auth import User, Role, ADGroupMapping
-from ...dependencies import has_permission, get_current_user
+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 +1,105 @@
+# [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
+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
+# [/SECTION]
+
+router = APIRouter()
+
+# [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
+# [/DEF:DashboardsResponse: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
+# @POST: Returns a list of dashboards with enhanced metadata
+# @PARAM: env_id (str) - The environment ID to fetch dashboards from
+# @PARAM: search (Optional[str]) - Filter by title/slug
+# @RETURN: DashboardsResponse - List of dashboards with status metadata
+# @RELATION: CALLS -> ResourceService.get_dashboards_with_status
+@router.get("/api/dashboards", response_model=DashboardsResponse)
+async def get_dashboards(
+    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_dashboards", 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_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()
+                ]
+            
+            logger.info(f"[get_dashboards][Coherence:OK] Returning {len(dashboards)} dashboards")
+            
+            return DashboardsResponse(
+                dashboards=dashboards,
+                total=len(dashboards)
+            )
+            
+        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:backend.src.api.routes.dashboards:Module]

backend/src/api/routes/datasets.py

@@ -0,0 +1,103 @@
+# [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
+# [/SECTION]
+
+router = APIRouter()
+
+# [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:DatasetsResponse:DataClass]
+class DatasetsResponse(BaseModel):
+    datasets: List[DatasetItem]
+    total: int
+# [/DEF:DatasetsResponse:DataClass]
+
+# [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
+# @POST:    Returns a list of datasets with enhanced metadata
+# @PARAM:   env_id (str) - The environment ID to fetch datasets from
+# @PARAM:   search (Optional[str]) - Filter by table name
+# @RETURN:  DatasetsResponse - List of datasets with status metadata
+# @RELATION: CALLS -> ResourceService.get_datasets_with_status
+@router.get("/api/datasets", response_model=DatasetsResponse)
+async def get_datasets(
+    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_datasets", 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_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()
+                ]
+            
+            logger.info(f"[get_datasets][Coherence:OK] Returning {len(datasets)} datasets")
+            
+            return DatasetsResponse(
+                datasets=datasets,
+                total=len(datasets)
+            )
+            
+        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: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
@@ -10,11 +11,10 @@
 
 # [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]
 

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
@@ -15,10 +16,10 @@ 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
 )
@@ -397,4 +398,59 @@ async def get_repository_diff(
             raise HTTPException(status_code=400, detail=str(e))
 # [/DEF:get_repository_diff:Function]
 
+# [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),
+    _ = 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()
+            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)
+            message = await extension.suggest_commit_message(diff, history)
+            
+            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(prefix="/api/llm", 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

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

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/settings.py

@@ -12,15 +12,24 @@
 # [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
 # [/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]
@@ -223,5 +232,83 @@ 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
+    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()
+        
+        return ConsolidatedSettingsResponse(
+            environments=config.environments,
+            connections=config.settings.connections,
+            llm=config.settings.llm,
+            logging=config.settings.logging,
+            storage=config.settings.storage
+        )
+# [/DEF:get_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

@@ -1,15 +1,17 @@
 # [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 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.models import LogFilter, LogStats
+from ...dependencies import get_task_manager, has_permission, get_current_user
 
 router = APIRouter()
 
@@ -34,13 +36,30 @@ class ResumeTaskRequest(BaseModel):
 async def create_task(
     request: CreateTaskRequest,
     task_manager: TaskManager = Depends(get_task_manager),
-    _ = Depends(lambda req: has_permission(f"plugin:{req.plugin_id}", "EXECUTE"))
+    current_user = Depends(get_current_user)
 ):
+    # 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:
+            # Special handling for validation task to include provider config
+            if request.plugin_id == "llm_dashboard_validation":
+                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 provider_id:
+                        db_provider = llm_service.get_provider(provider_id)
+                        if not db_provider:
+                            raise ValueError(f"LLM Provider {provider_id} not found")
+                finally:
+                    db.close()
+
             task = await task_manager.create_task(
                 plugin_id=request.plugin_id,
                 params=request.params
@@ -99,27 +118,93 @@ 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.

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
 from .api import auth
-from .core.database import init_db
 
 # [DEF:App:Global]
 # @SEMANTICS: app, fastapi, instance
@@ -77,13 +78,34 @@ app.add_middleware(
 # @POST: Logs request and response details.
 # @PARAM: request (Request) - The incoming request object.
 # @PARAM: call_next (Callable) - The next middleware or route handler.
+@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."
+        )
+
 @app.middleware("http")
 async def log_requests(request: Request, call_next):
-    with belief_scope("log_requests", f"{request.method} {request.url.path}"):
+    # Avoid spamming logs for polling endpoints
-        logger.info(f"[DEBUG] Incoming request: {request.method} {request.url.path}")
+    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)
-        logger.info(f"[DEBUG] Response status: {response.status_code} for {request.url.path}")
+        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
@@ -97,29 +119,71 @@ app.include_router(environments.router, prefix="/api/environments", tags=["Envir
 app.include_router(mappings.router)
 app.include_router(migration.router)
 app.include_router(git.router)
+app.include_router(llm.router)
 app.include_router(storage.router, prefix="/api/storage", tags=["Storage"])
+app.include_router(dashboards.router, tags=["Dashboards"])
+app.include_router(datasets.router, tags=["Datasets"])
 
 # [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()
+            if matches_filters(log_entry):
-            log_dict['timestamp'] = log_dict['timestamp'].isoformat()
+                log_dict = log_entry.dict()
-            await websocket.send_json(log_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 +201,11 @@ 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)

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]
@@ -21,7 +20,7 @@ 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

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 typing import Optional
-from jose import JWTError, jwt
+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/config_manager.py

@@ -15,7 +15,7 @@ import json
 import os
 from pathlib import Path
 from typing import Optional, List
-from .config_models import AppConfig, Environment, GlobalSettings
+from .config_models import AppConfig, Environment, GlobalSettings, StorageConfig
 from .logger import logger, configure_logger, belief_scope
 # [/SECTION]
 
@@ -46,7 +46,7 @@ class ConfigManager:
             # 3. Runtime check of @POST
             assert isinstance(self.config, AppConfig), "self.config must be an instance of AppConfig"
 
-            logger.info(f"[ConfigManager][Exit] Initialized")
+            logger.info("[ConfigManager][Exit] Initialized")
     # [/DEF:__init__:Function]
 
     # [DEF:_load_config:Function]
@@ -59,7 +59,7 @@ class ConfigManager:
             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.")
+            logger.info("[_load_config][Action] Config file not found. Creating default.")
             default_config = AppConfig(
                 environments=[],
                 settings=GlobalSettings()
@@ -75,7 +75,7 @@ class ConfigManager:
                     del data["settings"]["backup_path"]
 
                 config = AppConfig(**data)
-                logger.info(f"[_load_config][Coherence:OK] Configuration loaded")
+                logger.info("[_load_config][Coherence:OK] Configuration loaded")
                 return config
         except Exception as e:
             logger.error(f"[_load_config][Coherence:Failed] Error loading config: {e}")
@@ -103,7 +103,7 @@ class ConfigManager:
         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")
+            logger.info("[_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]
@@ -134,7 +134,7 @@ class ConfigManager:
     # @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")
+            logger.info("[update_global_settings][Entry] Updating settings")
         
         # 1. Runtime check of @PRE
         assert isinstance(settings, GlobalSettings), "settings must be an instance of GlobalSettings"
@@ -146,7 +146,7 @@ class ConfigManager:
         # Reconfigure logger with new settings
         configure_logger(settings.logging)
 
-        logger.info(f"[update_global_settings][Exit] Settings updated")
+        logger.info("[update_global_settings][Exit] Settings updated")
     # [/DEF:update_global_settings:Function]
 
     # [DEF:validate_path:Function]
@@ -222,7 +222,7 @@ class ConfigManager:
         self.config.environments.append(env)
         self.save()
         
-        logger.info(f"[add_environment][Exit] Environment added")
+        logger.info("[add_environment][Exit] Environment added")
     # [/DEF:add_environment:Function]
 
     # [DEF:update_environment:Function]

backend/src/core/config_models.py

@@ -1,4 +1,5 @@
 # [DEF:ConfigModels:Module]
+# @TIER: STANDARD
 # @SEMANTICS: config, models, pydantic
 # @PURPOSE: Defines the data models for application configuration using Pydantic.
 # @LAYER: Core
@@ -34,6 +35,7 @@ class Environment(BaseModel):
 # @PURPOSE: Defines the configuration for the application's logging system.
 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] = "logs/app.log"
     max_bytes: int = 10 * 1024 * 1024
     backup_count: int = 5

backend/src/core/database.py

@@ -11,31 +11,39 @@
 
 # [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 .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 (where .db files should reside).
+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")
+DATABASE_URL = os.getenv("DATABASE_URL", f"sqlite:///{BASE_DIR}/mappings.db")
 # [/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")
+TASKS_DATABASE_URL = os.getenv("TASKS_DATABASE_URL", f"sqlite:///{BASE_DIR}/tasks.db")
 # [/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)
+# If it's a relative sqlite path starting with ./backend/, fix it to be absolute or relative to BASE_DIR
+if AUTH_DATABASE_URL.startswith("sqlite:///./backend/"):
+    AUTH_DATABASE_URL = AUTH_DATABASE_URL.replace("sqlite:///./backend/", f"sqlite:///{BASE_DIR}/")
+elif AUTH_DATABASE_URL.startswith("sqlite:///./") and not AUTH_DATABASE_URL.startswith("sqlite:///./backend/"):
+    # If it's just ./ but we are in backend, it's fine, but let's make it absolute for robustness
+    AUTH_DATABASE_URL = AUTH_DATABASE_URL.replace("sqlite:///./", f"sqlite:///{BASE_DIR}/")
 # [/DEF:AUTH_DATABASE_URL:Constant]
 
 # [DEF:engine:Variable]

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):
@@ -58,12 +61,12 @@ 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 +74,13 @@ def belief_scope(anchor_id: str, message: str = ""):
 
     try:
         yield
-        # Log Coherence OK and Exit
+        # Log Coherence OK and Exit (DEBUG level to reduce noise)
-        logger.info(f"[{anchor_id}][Coherence:OK]")
+        logger.debug(f"[{anchor_id}][Coherence:OK]")
         if _enable_belief_state:
-            logger.info(f"[{anchor_id}][Exit]")
+            logger.debug(f"[{anchor_id}][Exit]")
     except Exception as e:
-        # Log Coherence Failed
+        # Log Coherence Failed (DEBUG level to reduce noise)
-        logger.info(f"[{anchor_id}][Coherence:Failed] {str(e)}")
+        logger.debug(f"[{anchor_id}][Coherence:Failed] {str(e)}")
         raise
     finally:
         # Restore old anchor
@@ -88,12 +91,13 @@ 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 +111,6 @@ 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 +133,36 @@ 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.

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

@@ -13,10 +13,10 @@
 import json
 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]
@@ -212,6 +212,30 @@ class SupersetClient:
             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:Function]
     # @PURPOSE: Получает информацию о конкретном датасете по его ID.
     # @PARAM: dataset_id (int) - ID датасета.

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
+# @TIER: STANDARD
-# @PURPOSE: Implements task cleanup and retention policies.
+# @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 typing import List
-from .persistence import TaskPersistenceService
+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 +1,115 @@
+# [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]
+from typing import Dict, Any, Callable
+from .task_logger import TaskLogger
+# [/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"
+    ):
+        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:
+        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:
+        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]:
+        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:
+        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."""
+        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

@@ -8,23 +8,33 @@
 
 # [SECTION: IMPORTS]
 import asyncio
+import threading
+import inspect
+from concurrent.futures import ThreadPoolExecutor
 from datetime import datetime
 from typing import Dict, Any, List, Optional
-from concurrent.futures import ThreadPoolExecutor
 
-from .models import Task, TaskStatus, LogEntry
+from .models import Task, TaskStatus, LogEntry, LogFilter, LogStats
-from .persistence import TaskPersistenceService
+from .persistence import TaskPersistenceService, TaskLogPersistenceService
-from ..logger import logger, belief_scope
+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 +45,18 @@ 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 +67,59 @@ 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."""
+        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 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 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 +136,7 @@ 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 +151,7 @@ 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 +164,54 @@ 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):
+                # Check if plugin's execute method accepts 'context' parameter
-                    task.result = await plugin.execute(params)
+                sig = inspect.signature(plugin.execute)
-                else:
+                accepts_context = 'context' in sig.parameters
-                    task.result = await self.loop.run_in_executor(
+                
-                        self.executor,
+                if accepts_context:
-                        plugin.execute,
+                    # Create TaskContext for new-style plugins
-                        params
+                    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 +248,8 @@ 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 +270,8 @@ 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()
@@ -224,36 +323,106 @@ class TaskManager:
     # [/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.
+    # @PARAM:   source (str) - Source component (default: "system").
-    def _add_log(self, task_id: str, level: str, message: str, context: Optional[Dict[str, Any]] = None):
+    # @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)
+            # Filter logs based on task_log_level configuration
-            task.logs.append(log_entry)
+            if not should_log_task_level(level):
-            self.persistence_service.persist_task(task)
+                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 +522,7 @@ 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.
@@ -387,9 +556,13 @@ 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]

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):

backend/src/core/task_manager/persistence.py

@@ -7,13 +7,13 @@
 
 # [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 ..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]
 
@@ -36,6 +36,7 @@ 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()
@@ -50,8 +51,19 @@ class TaskPersistenceService:
                 record.environment_id = task.params.get("environment_id") or task.params.get("source_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):
+                    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 +71,9 @@ 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
@@ -155,4 +170,215 @@ class TaskPersistenceService:
     # [/DEF:delete_tasks:Function]
 
 # [/DEF:TaskPersistenceService:Class]
+
+# [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]
+    # @PURPOSE: Initialize the log persistence service.
+    # @POST: Service is ready.
+    def __init__(self):
+        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 +1,167 @@
+# [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.
+# @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.
+    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.
+    # @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.
+    # @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.
+    # @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.
+    # @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/network.py

@@ -140,7 +140,16 @@ 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 +162,9 @@ 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 +177,8 @@ 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 +201,8 @@ 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 +223,14 @@ 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 == 502 or status_code == 503 or status_code == 504:
-        if status_code == 403: raise PermissionDeniedError() from e
+            raise NetworkError(f"Environment unavailable (Status {status_code})", status_code=status_code) from e
-        if status_code == 401: raise AuthenticationError() 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 +242,12 @@ 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"
+            if isinstance(e, requests.exceptions.Timeout):
-            elif isinstance(e, requests.exceptions.ConnectionError): msg = "Connection error"
+                msg = "Request timeout"
-            else: msg = f"Unknown network error: {e}"
+            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 +264,9 @@ 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")
         

backend/src/dependencies.py

@@ -5,7 +5,6 @@
 # @RELATION: Used by the 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
@@ -13,8 +12,9 @@ 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 .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
@@ -35,8 +35,7 @@ init_db()
 # @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
-        return config_manager
 # [/DEF:get_config_manager:Function]
 
 plugin_dir = Path(__file__).parent / "plugins"
@@ -51,6 +50,9 @@ 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.
 # @PRE: Global plugin_loader must be initialized.
@@ -58,8 +60,7 @@ logger.info("SchedulerService initialized")
 # @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
-        return plugin_loader
 # [/DEF:get_plugin_loader:Function]
 
 # [DEF:get_task_manager:Function]
@@ -69,8 +70,7 @@ def get_plugin_loader() -> PluginLoader:
 # @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
-        return task_manager
 # [/DEF:get_task_manager:Function]
 
 # [DEF:get_scheduler_service:Function]
@@ -80,10 +80,19 @@ def get_task_manager() -> TaskManager:
 # @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
-        return scheduler_service
 # [/DEF:get_scheduler_service:Function]
 
+# [DEF:get_resource_service:Function]
+# @PURPOSE: Dependency injector for the 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 the ResourceService."""
+    return resource_service
+# [/DEF:get_resource_service:Function]
+
 # [DEF:oauth2_scheme:Variable]
 # @PURPOSE: OAuth2 password bearer scheme for token extraction.
 oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/api/auth/login")
@@ -98,25 +107,24 @@ oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/api/auth/login")
 # @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(
-        credentials_exception = HTTPException(
+        status_code=status.HTTP_401_UNAUTHORIZED,
-            status_code=status.HTTP_401_UNAUTHORIZED,
+        detail="Could not validate credentials",
-            detail="Could not validate credentials",
+        headers={"WWW-Authenticate": "Bearer"},
-            headers={"WWW-Authenticate": "Bearer"},
+    )
-        )
+    try:
-        try:
+        payload = decode_token(token)
-            payload = decode_token(token)
+        username: str = payload.get("sub")
-            username: str = payload.get("sub")
+        if username is None:
-            if username is None:
-                raise credentials_exception
-        except JWTError:
             raise credentials_exception
-            
+    except JWTError:
-        repo = AuthRepository(db)
+        raise credentials_exception
-        user = repo.get_user_by_username(username)
+        
-        if user is None:
+    repo = AuthRepository(db)
-            raise credentials_exception
+    user = repo.get_user_by_username(username)
-        return user
+    if user is None:
+        raise credentials_exception
+    return user
 # [/DEF:get_current_user:Function]
 
 # [DEF:has_permission:Function]
@@ -129,24 +137,23 @@ 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
-            # Union of all permissions across all roles
+        for role in current_user.roles:
-            for role in current_user.roles:
+            for perm in role.permissions:
-                for perm in role.permissions:
+                if perm.resource == resource and perm.action == action:
-                    if perm.resource == resource and perm.action == action:
+                    return current_user
-                        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)
+        raise HTTPException(
-            if any(role.name == "Admin" for role in current_user.roles):
+            status_code=status.HTTP_403_FORBIDDEN,
-                return current_user
+            detail=f"Permission denied for {resource}:{action}"
-            
+        )
-            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}"
-            )
     return permission_checker
 # [/DEF:has_permission:Function]
 

backend/src/models/auth.py

@@ -11,7 +11,7 @@
 # [SECTION: IMPORTS]
 import uuid
 from datetime import datetime
-from sqlalchemy import Column, String, Boolean, DateTime, ForeignKey, Table, Enum
+from sqlalchemy import Column, String, Boolean, DateTime, ForeignKey, Table
 from sqlalchemy.orm import relationship
 from .mapping import Base
 # [/SECTION]

backend/src/models/connection.py

@@ -1,5 +1,6 @@
 # [DEF:backend.src.models.connection:Module]
 #
+# @TIER: TRIVIAL
 # @SEMANTICS: database, connection, configuration, sqlalchemy, sqlite
 # @PURPOSE:   Defines the database schema for external database connection configurations.
 # @LAYER:     Domain
@@ -15,6 +16,7 @@ import uuid
 # [/SECTION]
 
 # [DEF:ConnectionConfig:Class]
+# @TIER: TRIVIAL
 # @PURPOSE: Stores credentials for external databases used for column mapping.
 class ConnectionConfig(Base):
     __tablename__ = "connection_configs"

backend/src/models/git.py

@@ -1,4 +1,5 @@
 # [DEF:GitModels:Module]
+# @TIER: TRIVIAL
 # @SEMANTICS: git, models, sqlalchemy, database, schema
 # @PURPOSE: Git-specific SQLAlchemy models for configuration and repository tracking.
 # @LAYER: Model
@@ -7,7 +8,6 @@
 import enum
 from datetime import datetime
 from sqlalchemy import Column, String, Integer, DateTime, Enum, ForeignKey, Boolean
-from sqlalchemy.dialects.postgresql import UUID
 import uuid
 from src.core.database import Base
 
@@ -26,11 +26,10 @@ class SyncStatus(str, enum.Enum):
     DIRTY = "DIRTY"
     CONFLICT = "CONFLICT"
 
+# [DEF:GitServerConfig:Class]
+# @TIER: TRIVIAL
+# @PURPOSE: Configuration for a Git server connection.
 class GitServerConfig(Base):
-    """
-    [DEF:GitServerConfig:Class]
-    Configuration for a Git server connection.
-    """
     __tablename__ = "git_server_configs"
 
     id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
@@ -41,12 +40,12 @@ class GitServerConfig(Base):
     default_repository = Column(String(255), nullable=True)
     status = Column(Enum(GitStatus), default=GitStatus.UNKNOWN)
     last_validated = Column(DateTime, default=datetime.utcnow)
+# [/DEF:GitServerConfig:Class]
 
+# [DEF:GitRepository:Class]
+# @TIER: TRIVIAL
+# @PURPOSE: Tracking for a local Git repository linked to a dashboard.
 class GitRepository(Base):
-    """
-    [DEF:GitRepository:Class]
-    Tracking for a local Git repository linked to a dashboard.
-    """
     __tablename__ = "git_repositories"
 
     id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
@@ -56,12 +55,12 @@ class GitRepository(Base):
     local_path = Column(String(255), nullable=False)
     current_branch = Column(String(255), default="main")
     sync_status = Column(Enum(SyncStatus), default=SyncStatus.CLEAN)
+# [/DEF:GitRepository:Class]
 
+# [DEF:DeploymentEnvironment:Class]
+# @TIER: TRIVIAL
+# @PURPOSE: Target Superset environments for dashboard deployment.
 class DeploymentEnvironment(Base):
-    """
-    [DEF:DeploymentEnvironment:Class]
-    Target Superset environments for dashboard deployment.
-    """
     __tablename__ = "deployment_environments"
 
     id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()))
@@ -69,5 +68,6 @@ class DeploymentEnvironment(Base):
     superset_url = Column(String(255), nullable=False)
     superset_token = Column(String(255), nullable=False)
     is_active = Column(Boolean, default=True)
+# [/DEF:DeploymentEnvironment:Class]
 
-# [/DEF:GitModels:Module]
+# [/DEF:GitModels:Module]

backend/src/models/llm.py

@@ -0,0 +1,46 @@
+# [DEF:backend.src.models.llm:Module]
+# @TIER: STANDARD
+# @SEMANTICS: llm, models, sqlalchemy, persistence
+# @PURPOSE: SQLAlchemy models for LLM provider configuration and validation results.
+# @LAYER: Domain
+# @RELATION: INHERITS_FROM -> backend.src.models.mapping.Base
+
+from sqlalchemy import Column, String, Boolean, DateTime, JSON, Text
+from datetime import datetime
+import uuid
+from .mapping import Base
+
+def generate_uuid():
+    return str(uuid.uuid4())
+
+# [DEF:LLMProvider:Class]
+# @PURPOSE: SQLAlchemy model for LLM provider configuration.
+class LLMProvider(Base):
+    __tablename__ = "llm_providers"
+    
+    id = Column(String, primary_key=True, default=generate_uuid)
+    provider_type = Column(String, nullable=False) # openai, openrouter, kilo
+    name = Column(String, nullable=False)
+    base_url = Column(String, nullable=False)
+    api_key = Column(String, nullable=False) # Should be encrypted
+    default_model = Column(String, nullable=False)
+    is_active = Column(Boolean, default=True)
+    created_at = Column(DateTime, default=datetime.utcnow)
+# [/DEF:LLMProvider:Class]
+
+# [DEF:ValidationRecord:Class]
+# @PURPOSE: SQLAlchemy model for dashboard validation history.
+class ValidationRecord(Base):
+    __tablename__ = "llm_validation_results"
+    
+    id = Column(String, primary_key=True, default=generate_uuid)
+    dashboard_id = Column(String, nullable=False, index=True)
+    timestamp = Column(DateTime, default=datetime.utcnow)
+    status = Column(String, nullable=False) # PASS, WARN, FAIL
+    screenshot_path = Column(String, nullable=True)
+    issues = Column(JSON, nullable=False)
+    summary = Column(Text, nullable=False)
+    raw_response = Column(Text, nullable=True)
+# [/DEF:ValidationRecord:Class]
+
+# [/DEF:backend.src.models.llm:Module]

backend/src/models/mapping.py

@@ -59,6 +59,7 @@ class DatabaseMapping(Base):
 # [/DEF:DatabaseMapping:Class]
 
 # [DEF:MigrationJob:Class]
+# @TIER: TRIVIAL
 # @PURPOSE: Represents a single migration execution job.
 class MigrationJob(Base):
     __tablename__ = "migration_jobs"

backend/src/models/storage.py

@@ -1,9 +1,16 @@
+# [DEF:backend.src.models.storage:Module]
+# @TIER: TRIVIAL
+# @SEMANTICS: storage, file, model, pydantic
+# @PURPOSE: Data models for the storage system.
+# @LAYER: Domain
+
 from datetime import datetime
 from enum import Enum
 from typing import Optional
 from pydantic import BaseModel, Field
 
 # [DEF:FileCategory:Class]
+# @TIER: TRIVIAL
 # @PURPOSE: Enumeration of supported file categories in the storage system.
 class FileCategory(str, Enum):
     BACKUP = "backups"
@@ -11,6 +18,7 @@ class FileCategory(str, Enum):
 # [/DEF:FileCategory:Class]
 
 # [DEF:StorageConfig:Class]
+# @TIER: TRIVIAL
 # @PURPOSE: Configuration model for the storage system, defining paths and naming patterns.
 class StorageConfig(BaseModel):
     root_path: str = Field(default="backups", description="Absolute path to the storage root directory.")
@@ -20,6 +28,7 @@ class StorageConfig(BaseModel):
 # [/DEF:StorageConfig:Class]
 
 # [DEF:StoredFile:Class]
+# @TIER: TRIVIAL
 # @PURPOSE: Data model representing metadata for a file stored in the system.
 class StoredFile(BaseModel):
     name: str = Field(..., description="Name of the file (including extension).")
@@ -28,4 +37,6 @@ class StoredFile(BaseModel):
     created_at: datetime = Field(..., description="Creation timestamp.")
     category: FileCategory = Field(..., description="Category of the file.")
     mime_type: Optional[str] = Field(None, description="MIME type of the file.")
-# [/DEF:StoredFile:Class]
+# [/DEF:StoredFile:Class]
+
+# [/DEF:backend.src.models.storage:Module]

backend/src/models/task.py

@@ -1,5 +1,6 @@
 # [DEF:backend.src.models.task:Module]
 #
+# @TIER: TRIVIAL
 # @SEMANTICS: database, task, record, sqlalchemy, sqlite
 # @PURPOSE:   Defines the database schema for task execution records.
 # @LAYER:     Domain
@@ -8,13 +9,14 @@
 # @INVARIANT: All primary keys are UUID strings.
 
 # [SECTION: IMPORTS]
-from sqlalchemy import Column, String, DateTime, JSON, ForeignKey
+from sqlalchemy import Column, String, DateTime, JSON, ForeignKey, Text, Integer, Index
 from sqlalchemy.sql import func
 from .mapping import Base
 import uuid
 # [/SECTION]
 
 # [DEF:TaskRecord:Class]
+# @TIER: TRIVIAL
 # @PURPOSE: Represents a persistent record of a task execution.
 class TaskRecord(Base):
     __tablename__ = "task_records"
@@ -25,11 +27,35 @@ class TaskRecord(Base):
     environment_id = Column(String, ForeignKey("environments.id"), nullable=True)
     started_at = Column(DateTime(timezone=True), nullable=True)
     finished_at = Column(DateTime(timezone=True), nullable=True)
-    logs = Column(JSON, nullable=True)  # Store structured logs as JSON
+    logs = Column(JSON, nullable=True)  # Store structured logs as JSON (legacy, kept for backward compatibility)
     error = Column(String, nullable=True)
     result = Column(JSON, nullable=True)
     created_at = Column(DateTime(timezone=True), server_default=func.now())
     params = Column(JSON, nullable=True)
 # [/DEF:TaskRecord:Class]
 
+# [DEF:TaskLogRecord:Class]
+# @PURPOSE: Represents a single persistent log entry for a task.
+# @TIER: CRITICAL
+# @RELATION: DEPENDS_ON -> TaskRecord
+# @INVARIANT: Each log entry belongs to exactly one task.
+class TaskLogRecord(Base):
+    __tablename__ = "task_logs"
+
+    id = Column(Integer, primary_key=True, autoincrement=True)
+    task_id = Column(String, ForeignKey("task_records.id", ondelete="CASCADE"), nullable=False, index=True)
+    timestamp = Column(DateTime(timezone=True), nullable=False, index=True)
+    level = Column(String(16), nullable=False)  # INFO, WARNING, ERROR, DEBUG
+    source = Column(String(64), nullable=False, default="system")  # plugin, superset_api, git, etc.
+    message = Column(Text, nullable=False)
+    metadata_json = Column(Text, nullable=True)  # JSON string for additional metadata
+
+    # Composite indexes for efficient filtering
+    __table_args__ = (
+        Index('ix_task_logs_task_timestamp', 'task_id', 'timestamp'),
+        Index('ix_task_logs_task_level', 'task_id', 'level'),
+        Index('ix_task_logs_task_source', 'task_id', 'source'),
+    )
+# [/DEF:TaskLogRecord:Class]
+
 # [/DEF:backend.src.models.task:Module]

backend/src/plugins/backup.py

@@ -5,13 +5,14 @@
 # @RELATION: IMPLEMENTS -> PluginBase
 # @RELATION: DEPENDS_ON -> superset_tool.client
 # @RELATION: DEPENDS_ON -> superset_tool.utils
+# @RELATION: USES -> TaskContext
 
-from typing import Dict, Any
+from typing import Dict, Any, Optional
 from pathlib import Path
 from requests.exceptions import RequestException
 
 from ..core.plugin_base import PluginBase
-from ..core.logger import belief_scope
+from ..core.logger import belief_scope, logger as app_logger
 from ..core.superset_client import SupersetClient
 from ..core.utils.network import SupersetAPIError
 from ..core.utils.fileio import (
@@ -23,6 +24,7 @@ from ..core.utils.fileio import (
     RetentionPolicy
 )
 from ..dependencies import get_config_manager
+from ..core.task_manager.context import TaskContext
 
 # [DEF:BackupPlugin:Class]
 # @PURPOSE: Implementation of the backup plugin logic.
@@ -93,7 +95,7 @@ class BackupPlugin(PluginBase):
         with belief_scope("get_schema"):
             config_manager = get_config_manager()
             envs = [e.name for e in config_manager.get_environments()]
-        default_path = config_manager.get_config().settings.storage.root_path
+        config_manager.get_config().settings.storage.root_path
         
         return {
             "type": "object",
@@ -110,11 +112,12 @@ class BackupPlugin(PluginBase):
     # [/DEF:get_schema:Function]
 
     # [DEF:execute:Function]
-    # @PURPOSE: Executes the dashboard backup logic.
+    # @PURPOSE: Executes the dashboard backup logic with TaskContext support.
     # @PARAM: params (Dict[str, Any]) - Backup parameters (env, backup_path).
+    # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.
     # @PRE: Target environment must be configured. params must be a dictionary.
     # @POST: All dashboards are exported and archived.
-    async def execute(self, params: Dict[str, Any]):
+    async def execute(self, params: Dict[str, Any], context: Optional[TaskContext] = None):
         with belief_scope("execute"):
             config_manager = get_config_manager()
             env_id = params.get("environment_id")
@@ -133,8 +136,14 @@ class BackupPlugin(PluginBase):
             # Use 'backups' subfolder within the storage root
             backup_path = Path(storage_settings.root_path) / "backups"
             
-            from ..core.logger import logger as app_logger
+            # Use TaskContext logger if available, otherwise fall back to app_logger
-            app_logger.info(f"[BackupPlugin][Entry] Starting backup for {env}.")
+            log = context.logger if context else app_logger
+            
+            # Create sub-loggers for different components
+            superset_log = log.with_source("superset_api") if context else log
+            storage_log = log.with_source("storage") if context else log
+            
+            log.info(f"Starting backup for environment: {env}")
 
             try:
                 config_manager = get_config_manager()
@@ -148,24 +157,30 @@ class BackupPlugin(PluginBase):
                 client = SupersetClient(env_config)
                 
                 dashboard_count, dashboard_meta = client.get_dashboards()
-                app_logger.info(f"[BackupPlugin][Progress] Found {dashboard_count} dashboards to export in {env}.")
+                superset_log.info(f"Found {dashboard_count} dashboards to export")
 
                 if dashboard_count == 0:
-                    app_logger.info("[BackupPlugin][Exit] No dashboards to back up.")
+                    log.info("No dashboards to back up")
                     return
 
-                for db in dashboard_meta:
+                total = len(dashboard_meta)
+                for idx, db in enumerate(dashboard_meta, 1):
                     dashboard_id = db.get('id')
                     dashboard_title = db.get('dashboard_title', 'Unknown Dashboard')
                     if not dashboard_id:
                         continue
 
+                    # Report progress
+                    progress_pct = (idx / total) * 100
+                    log.progress(f"Backing up dashboard: {dashboard_title}", percent=progress_pct)
+
                     try:
                         dashboard_base_dir_name = sanitize_filename(f"{dashboard_title}")
                         dashboard_dir = backup_path / env.upper() / dashboard_base_dir_name
                         dashboard_dir.mkdir(parents=True, exist_ok=True)
 
                         zip_content, filename = client.export_dashboard(dashboard_id)
+                        superset_log.debug(f"Exported dashboard: {dashboard_title}")
 
                         save_and_unpack_dashboard(
                             zip_content=zip_content,
@@ -175,18 +190,19 @@ class BackupPlugin(PluginBase):
                         )
 
                         archive_exports(str(dashboard_dir), policy=RetentionPolicy())
+                        storage_log.debug(f"Archived dashboard: {dashboard_title}")
 
                     except (SupersetAPIError, RequestException, IOError, OSError) as db_error:
-                        app_logger.error(f"[BackupPlugin][Failure] Failed to export dashboard {dashboard_title} (ID: {dashboard_id}): {db_error}", exc_info=True)
+                        log.error(f"Failed to export dashboard {dashboard_title} (ID: {dashboard_id}): {db_error}")
                         continue
                 
                 consolidate_archive_folders(backup_path / env.upper())
                 remove_empty_directories(str(backup_path / env.upper()))
 
-                app_logger.info(f"[BackupPlugin][CoherenceCheck:Passed] Backup logic completed for {env}.")
+                log.info(f"Backup completed successfully for {env}")
 
             except (RequestException, IOError, KeyError) as e:
-                app_logger.critical(f"[BackupPlugin][Failure] Fatal error during backup for {env}: {e}", exc_info=True)
+                log.error(f"Fatal error during backup for {env}: {e}")
                 raise e
     # [/DEF:execute:Function]
 # [/DEF:BackupPlugin:Class]

backend/src/plugins/debug.py

@@ -3,6 +3,7 @@
 # @PURPOSE: Implements a plugin for system diagnostics and debugging Superset API responses.
 # @LAYER: Plugins
 # @RELATION: Inherits from PluginBase. Uses SupersetClient from core.
+# @RELATION: USES -> TaskContext
 # @CONSTRAINT: Must use belief_scope for logging.
 
 # [SECTION: IMPORTS]
@@ -10,6 +11,7 @@ from typing import Dict, Any, Optional
 from ..core.plugin_base import PluginBase
 from ..core.superset_client import SupersetClient
 from ..core.logger import logger, belief_scope
+from ..core.task_manager.context import TaskContext
 # [/SECTION]
 
 # [DEF:DebugPlugin:Class]
@@ -114,20 +116,29 @@ class DebugPlugin(PluginBase):
     # [/DEF:get_schema:Function]
 
     # [DEF:execute:Function]
-    # @PURPOSE: Executes the debug logic.
+    # @PURPOSE: Executes the debug logic with TaskContext support.
     # @PARAM: params (Dict[str, Any]) - Debug parameters.
+    # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.
     # @PRE: action must be provided in params.
     # @POST: Debug action is executed and results returned.
     # @RETURN: Dict[str, Any] - Execution results.
-    async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
+    async def execute(self, params: Dict[str, Any], context: Optional[TaskContext] = None) -> Dict[str, Any]:
         with belief_scope("execute"):
             action = params.get("action")
             
+            # Use TaskContext logger if available, otherwise fall back to app logger
+            log = context.logger if context else logger
+            debug_log = log.with_source("debug") if context else log
+            superset_log = log.with_source("superset_api") if context else log
+            
+            debug_log.info(f"Executing debug action: {action}")
+            
             if action == "test-db-api":
-                return await self._test_db_api(params)
+                return await self._test_db_api(params, superset_log)
             elif action == "get-dataset-structure":
-                return await self._get_dataset_structure(params)
+                return await self._get_dataset_structure(params, superset_log)
             else:
+                debug_log.error(f"Unknown action: {action}")
                 raise ValueError(f"Unknown action: {action}")
     # [/DEF:execute:Function]
 
@@ -136,33 +147,37 @@ class DebugPlugin(PluginBase):
     # @PRE:     source_env and target_env params exist in params.
     # @POST:    Returns DB counts for both envs.
     # @PARAM:   params (Dict) - Plugin parameters.
+    # @PARAM:   log - Logger instance for superset_api source.
     # @RETURN:  Dict - Comparison results.
-    async def _test_db_api(self, params: Dict[str, Any]) -> Dict[str, Any]:
+    async def _test_db_api(self, params: Dict[str, Any], log) -> Dict[str, Any]:
         with belief_scope("_test_db_api"):
             source_env_name = params.get("source_env")
-        target_env_name = params.get("target_env")
+            target_env_name = params.get("target_env")
         
-        if not source_env_name or not target_env_name:
+            if not source_env_name or not target_env_name:
-            raise ValueError("source_env and target_env are required for test-db-api")
+                raise ValueError("source_env and target_env are required for test-db-api")
 
-        from ..dependencies import get_config_manager
+            from ..dependencies import get_config_manager
-        config_manager = get_config_manager()
+            config_manager = get_config_manager()
         
-        results = {}
+            results = {}
-        for name in [source_env_name, target_env_name]:
+            for name in [source_env_name, target_env_name]:
-            env_config = config_manager.get_environment(name)
+                log.info(f"Testing database API for environment: {name}")
-            if not env_config:
+                env_config = config_manager.get_environment(name)
-                raise ValueError(f"Environment '{name}' not found.")
+                if not env_config:
+                    log.error(f"Environment '{name}' not found.")
+                    raise ValueError(f"Environment '{name}' not found.")
             
-            client = SupersetClient(env_config)
+                client = SupersetClient(env_config)
-            client.authenticate()
+                client.authenticate()
-            count, dbs = client.get_databases()
+                count, dbs = client.get_databases()
-            results[name] = {
+                log.debug(f"Found {count} databases in {name}")
-                "count": count,
+                results[name] = {
-                "databases": dbs
+                    "count": count,
-            }
+                    "databases": dbs
+                }
             
-        return results
+            return results
     # [/DEF:_test_db_api:Function]
 
     # [DEF:_get_dataset_structure:Function]
@@ -170,26 +185,31 @@ class DebugPlugin(PluginBase):
     # @PRE:     env and dataset_id params exist in params.
     # @POST:    Returns dataset JSON structure.
     # @PARAM:   params (Dict) - Plugin parameters.
+    # @PARAM:   log - Logger instance for superset_api source.
     # @RETURN:  Dict - Dataset structure.
-    async def _get_dataset_structure(self, params: Dict[str, Any]) -> Dict[str, Any]:
+    async def _get_dataset_structure(self, params: Dict[str, Any], log) -> Dict[str, Any]:
         with belief_scope("_get_dataset_structure"):
             env_name = params.get("env")
-        dataset_id = params.get("dataset_id")
+            dataset_id = params.get("dataset_id")
         
-        if not env_name or dataset_id is None:
+            if not env_name or dataset_id is None:
-            raise ValueError("env and dataset_id are required for get-dataset-structure")
+                raise ValueError("env and dataset_id are required for get-dataset-structure")
 
-        from ..dependencies import get_config_manager
+            log.info(f"Fetching structure for dataset {dataset_id} in {env_name}")
-        config_manager = get_config_manager()
-        env_config = config_manager.get_environment(env_name)
-        if not env_config:
-            raise ValueError(f"Environment '{env_name}' not found.")
             
-        client = SupersetClient(env_config)
+            from ..dependencies import get_config_manager
-        client.authenticate()
+            config_manager = get_config_manager()
+            env_config = config_manager.get_environment(env_name)
+            if not env_config:
+                log.error(f"Environment '{env_name}' not found.")
+                raise ValueError(f"Environment '{env_name}' not found.")
+            
+            client = SupersetClient(env_config)
+            client.authenticate()
         
-        dataset_response = client.get_dataset(dataset_id)
+            dataset_response = client.get_dataset(dataset_id)
-        return dataset_response.get('result') or {}
+            log.debug(f"Retrieved dataset structure for {dataset_id}")
+            return dataset_response.get('result') or {}
     # [/DEF:_get_dataset_structure:Function]
 
 # [/DEF:DebugPlugin:Class]

backend/src/plugins/git/llm_extension.py

@@ -0,0 +1,66 @@
+# [DEF:backend/src/plugins/git/llm_extension:Module]
+# @TIER: STANDARD
+# @SEMANTICS: git, llm, commit
+# @PURPOSE: LLM-based extensions for the Git plugin, specifically for commit message generation.
+# @LAYER: Domain
+# @RELATION: DEPENDS_ON -> backend.src.plugins.llm_analysis.service.LLMClient
+
+from typing import List
+from tenacity import retry, stop_after_attempt, wait_exponential
+from ..llm_analysis.service import LLMClient
+from ...core.logger import belief_scope, logger
+
+# [DEF:GitLLMExtension:Class]
+# @PURPOSE: Provides LLM capabilities to the Git plugin.
+class GitLLMExtension:
+    def __init__(self, client: LLMClient):
+        self.client = client
+
+    # [DEF:suggest_commit_message:Function]
+    # @PURPOSE: Generates a suggested commit message based on a diff and history.
+    # @PARAM: diff (str) - The git diff of staged changes.
+    # @PARAM: history (List[str]) - Recent commit messages for context.
+    # @RETURN: str - The suggested commit message.
+    @retry(
+        stop=stop_after_attempt(2),
+        wait=wait_exponential(multiplier=1, min=2, max=10),
+        reraise=True
+    )
+    async def suggest_commit_message(self, diff: str, history: List[str]) -> str:
+        with belief_scope("suggest_commit_message"):
+            history_text = "\n".join(history)
+            prompt = f"""
+            Generate a concise and professional git commit message based on the following diff and recent history.
+            Use Conventional Commits format (e.g., feat: ..., fix: ..., docs: ...).
+            
+            Recent History:
+            {history_text}
+            
+            Diff:
+            {diff}
+            
+            Commit Message:
+            """
+            
+            logger.debug(f"[suggest_commit_message] Calling LLM with model: {self.client.default_model}")
+            response = await self.client.client.chat.completions.create(
+                model=self.client.default_model,
+                messages=[{"role": "user", "content": prompt}],
+                temperature=0.7
+            )
+            
+            logger.debug(f"[suggest_commit_message] LLM Response: {response}")
+            
+            if not response or not hasattr(response, 'choices') or not response.choices:
+                error_info = getattr(response, 'error', 'No choices in response')
+                logger.error(f"[suggest_commit_message] Invalid LLM response. Error info: {error_info}")
+                
+                # If it's a timeout/provider error, we might want to throw to trigger retry if decorated
+                # but for now we return a safe fallback to avoid UI crash
+                return "Update dashboard configurations (LLM generation failed)"
+
+            return response.choices[0].message.content.strip()
+    # [/DEF:suggest_commit_message:Function]
+# [/DEF:GitLLMExtension:Class]
+
+# [/DEF:backend/src/plugins/git/llm_extension:Module]

backend/src/plugins/git_plugin.py

@@ -7,6 +7,7 @@
 # @RELATION:  USES -> src.services.git_service.GitService
 # @RELATION:  USES -> src.core.superset_client.SupersetClient
 # @RELATION:  USES -> src.core.config_manager.ConfigManager
+# @RELATION:  USES -> TaskContext
 #
 # @INVARIANT: Все операции с Git должны выполняться через GitService.
 # @CONSTRAINT: Плагин работает только с распакованными YAML-экспортами Superset.
@@ -20,9 +21,10 @@ from pathlib import Path
 from typing import Dict, Any, Optional
 from src.core.plugin_base import PluginBase
 from src.services.git_service import GitService
-from src.core.logger import logger, belief_scope
+from src.core.logger import logger as app_logger, belief_scope
 from src.core.config_manager import ConfigManager
 from src.core.superset_client import SupersetClient
+from src.core.task_manager.context import TaskContext
 # [/SECTION]
 
 # [DEF:GitPlugin:Class]
@@ -35,7 +37,7 @@ class GitPlugin(PluginBase):
     # @POST: Инициализированы git_service и config_manager.
     def __init__(self):
         with belief_scope("GitPlugin.__init__"):
-            logger.info("[GitPlugin.__init__][Entry] Initializing GitPlugin.")
+            app_logger.info("Initializing GitPlugin.")
             self.git_service = GitService()
             
             # Robust config path resolution:
@@ -50,13 +52,13 @@ class GitPlugin(PluginBase):
                 try:
                     from src.dependencies import config_manager
                     self.config_manager = config_manager
-                    logger.info("[GitPlugin.__init__][Exit] GitPlugin initialized using shared config_manager.")
+                    app_logger.info("GitPlugin initialized using shared config_manager.")
                     return
-                except:
+                except Exception:
                     config_path = "config.json"
 
             self.config_manager = ConfigManager(config_path)
-            logger.info(f"[GitPlugin.__init__][Exit] GitPlugin initialized with {config_path}")
+            app_logger.info(f"GitPlugin initialized with {config_path}")
     # [/DEF:__init__:Function]
 
     @property
@@ -133,36 +135,44 @@ class GitPlugin(PluginBase):
     # @POST: Плагин готов к выполнению задач.
     async def initialize(self):
         with belief_scope("GitPlugin.initialize"):
-            logger.info("[GitPlugin.initialize][Action] Initializing Git Integration Plugin logic.")
+            app_logger.info("[GitPlugin.initialize][Action] Initializing Git Integration Plugin logic.")
 
     # [DEF:execute:Function]
-    # @PURPOSE: Основной метод выполнения задач плагина.
+    # @PURPOSE: Основной метод выполнения задач плагина с поддержкой TaskContext.
     # @PRE: task_data содержит 'operation' и 'dashboard_id'.
     # @POST: Возвращает результат выполнения операции.
     # @PARAM: task_data (Dict[str, Any]) - Данные задачи.
+    # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.
     # @RETURN: Dict[str, Any] - Статус и сообщение.
     # @RELATION: CALLS -> self._handle_sync
     # @RELATION: CALLS -> self._handle_deploy
-    async def execute(self, task_data: Dict[str, Any]) -> Dict[str, Any]:
+    async def execute(self, task_data: Dict[str, Any], context: Optional[TaskContext] = None) -> Dict[str, Any]:
         with belief_scope("GitPlugin.execute"):
             operation = task_data.get("operation")
             dashboard_id = task_data.get("dashboard_id")
             
-            logger.info(f"[GitPlugin.execute][Entry] Executing operation: {operation} for dashboard {dashboard_id}")
+            # Use TaskContext logger if available, otherwise fall back to app_logger
+            log = context.logger if context else app_logger
+            
+            # Create sub-loggers for different components
+            git_log = log.with_source("git") if context else log
+            superset_log = log.with_source("superset_api") if context else log
+            
+            log.info(f"Executing operation: {operation} for dashboard {dashboard_id}")
             
             if operation == "sync":
                 source_env_id = task_data.get("source_env_id")
-                result = await self._handle_sync(dashboard_id, source_env_id)
+                result = await self._handle_sync(dashboard_id, source_env_id, log, git_log, superset_log)
             elif operation == "deploy":
                 env_id = task_data.get("environment_id")
-                result = await self._handle_deploy(dashboard_id, env_id)
+                result = await self._handle_deploy(dashboard_id, env_id, log, git_log, superset_log)
             elif operation == "history":
                 result = {"status": "success", "message": "History available via API"}
             else:
-                logger.error(f"[GitPlugin.execute][Coherence:Failed] Unknown operation: {operation}")
+                log.error(f"Unknown operation: {operation}")
                 raise ValueError(f"Unknown operation: {operation}")
             
-            logger.info(f"[GitPlugin.execute][Exit] Operation {operation} completed.")
+            log.info(f"Operation {operation} completed.")
             return result
     # [/DEF:execute:Function]
 
@@ -176,13 +186,13 @@ class GitPlugin(PluginBase):
     # @SIDE_EFFECT: Изменяет файлы в локальной рабочей директории репозитория.
     # @RELATION: CALLS -> src.services.git_service.GitService.get_repo
     # @RELATION: CALLS -> src.core.superset_client.SupersetClient.export_dashboard
-    async def _handle_sync(self, dashboard_id: int, source_env_id: Optional[str] = None) -> Dict[str, str]:
+    async def _handle_sync(self, dashboard_id: int, source_env_id: Optional[str] = None, log=None, git_log=None, superset_log=None) -> Dict[str, str]:
         with belief_scope("GitPlugin._handle_sync"):
             try:
                 # 1. Получение репозитория
                 repo = self.git_service.get_repo(dashboard_id)
                 repo_path = Path(repo.working_dir)
-                logger.info(f"[_handle_sync][Action] Target repo path: {repo_path}")
+                git_log.info(f"Target repo path: {repo_path}")
 
                 # 2. Настройка клиента Superset
                 env = self._get_env(source_env_id)
@@ -190,11 +200,11 @@ class GitPlugin(PluginBase):
                 client.authenticate()
 
                 # 3. Экспорт дашборда
-                logger.info(f"[_handle_sync][Action] Exporting dashboard {dashboard_id} from {env.name}")
+                superset_log.info(f"Exporting dashboard {dashboard_id} from {env.name}")
                 zip_bytes, _ = client.export_dashboard(dashboard_id)
                 
                 # 4. Распаковка с выравниванием структуры (flattening)
-                logger.info(f"[_handle_sync][Action] Unpacking export to {repo_path}")
+                git_log.info(f"Unpacking export to {repo_path}")
                 
                 # Список папок/файлов, которые мы ожидаем от Superset
                 managed_dirs = ["dashboards", "charts", "datasets", "databases"]
@@ -218,7 +228,7 @@ class GitPlugin(PluginBase):
                         raise ValueError("Export ZIP is empty")
                     
                     root_folder = namelist[0].split('/')[0]
-                    logger.info(f"[_handle_sync][Action] Detected root folder in ZIP: {root_folder}")
+                    git_log.info(f"Detected root folder in ZIP: {root_folder}")
                     
                     for member in zf.infolist():
                         if member.filename.startswith(root_folder + "/") and len(member.filename) > len(root_folder) + 1:
@@ -236,15 +246,15 @@ class GitPlugin(PluginBase):
                 # 5. Автоматический staging изменений (не коммит, чтобы юзер мог проверить diff)
                 try:
                     repo.git.add(A=True)
-                    logger.info(f"[_handle_sync][Action] Changes staged in git")
+                    app_logger.info("[_handle_sync][Action] Changes staged in git")
                 except Exception as ge:
-                    logger.warning(f"[_handle_sync][Action] Failed to stage changes: {ge}")
+                    app_logger.warning(f"[_handle_sync][Action] Failed to stage changes: {ge}")
 
-                logger.info(f"[_handle_sync][Coherence:OK] Dashboard {dashboard_id} synced successfully.")
+                app_logger.info(f"[_handle_sync][Coherence:OK] Dashboard {dashboard_id} synced successfully.")
                 return {"status": "success", "message": "Dashboard synced and flattened in local repository"}
 
             except Exception as e:
-                logger.error(f"[_handle_sync][Coherence:Failed] Sync failed: {e}")
+                app_logger.error(f"[_handle_sync][Coherence:Failed] Sync failed: {e}")
                 raise
     # [/DEF:_handle_sync:Function]
 
@@ -254,10 +264,13 @@ class GitPlugin(PluginBase):
     # @POST: Дашборд импортирован в целевой Superset.
     # @PARAM: dashboard_id (int) - ID дашборда.
     # @PARAM: env_id (str) - ID целевого окружения.
+    # @PARAM: log - Main logger instance.
+    # @PARAM: git_log - Git-specific logger instance.
+    # @PARAM: superset_log - Superset API-specific logger instance.
     # @RETURN: Dict[str, Any] - Результат деплоя.
     # @SIDE_EFFECT: Создает и удаляет временный ZIP-файл.
     # @RELATION: CALLS -> src.core.superset_client.SupersetClient.import_dashboard
-    async def _handle_deploy(self, dashboard_id: int, env_id: str) -> Dict[str, Any]:
+    async def _handle_deploy(self, dashboard_id: int, env_id: str, log=None, git_log=None, superset_log=None) -> Dict[str, Any]:
         with belief_scope("GitPlugin._handle_deploy"):
             try:
                 if not env_id:
@@ -268,7 +281,7 @@ class GitPlugin(PluginBase):
                 repo_path = Path(repo.working_dir)
 
                 # 2. Упаковка в ZIP
-                logger.info(f"[_handle_deploy][Action] Packing repository {repo_path} for deployment.")
+                git_log.info(f"Packing repository {repo_path} for deployment.")
                 zip_buffer = io.BytesIO()
                 
                 # Superset expects a root directory in the ZIP (e.g., dashboard_export_20240101T000000/)
@@ -279,7 +292,8 @@ class GitPlugin(PluginBase):
                         if ".git" in dirs:
                             dirs.remove(".git")
                         for file in files:
-                            if file == ".git" or file.endswith(".zip"): continue
+                            if file == ".git" or file.endswith(".zip"):
+                                continue
                             file_path = Path(root) / file
                             # Prepend the root directory name to the archive path
                             arcname = Path(root_dir_name) / file_path.relative_to(repo_path)
@@ -297,21 +311,21 @@ class GitPlugin(PluginBase):
 
                 # 4. Импорт
                 temp_zip_path = repo_path / f"deploy_{dashboard_id}.zip"
-                logger.info(f"[_handle_deploy][Action] Saving temporary zip to {temp_zip_path}")
+                git_log.info(f"Saving temporary zip to {temp_zip_path}")
                 with open(temp_zip_path, "wb") as f:
                     f.write(zip_buffer.getvalue())
                 
                 try:
-                    logger.info(f"[_handle_deploy][Action] Importing dashboard to {env.name}")
+                    app_logger.info(f"[_handle_deploy][Action] Importing dashboard to {env.name}")
                     result = client.import_dashboard(temp_zip_path)
-                    logger.info(f"[_handle_deploy][Coherence:OK] Deployment successful for dashboard {dashboard_id}.")
+                    app_logger.info(f"[_handle_deploy][Coherence:OK] Deployment successful for dashboard {dashboard_id}.")
                     return {"status": "success", "message": f"Dashboard deployed to {env.name}", "details": result}
                 finally:
                     if temp_zip_path.exists():
                         os.remove(temp_zip_path)
 
             except Exception as e:
-                logger.error(f"[_handle_deploy][Coherence:Failed] Deployment failed: {e}")
+                app_logger.error(f"[_handle_deploy][Coherence:Failed] Deployment failed: {e}")
                 raise
     # [/DEF:_handle_deploy:Function]
 
@@ -323,13 +337,13 @@ class GitPlugin(PluginBase):
     # @RETURN: Environment - Объект конфигурации окружения.
     def _get_env(self, env_id: Optional[str] = None):
         with belief_scope("GitPlugin._get_env"):
-            logger.info(f"[_get_env][Entry] Fetching environment for ID: {env_id}")
+            app_logger.info(f"[_get_env][Entry] Fetching environment for ID: {env_id}")
             
             # Priority 1: ConfigManager (config.json)
             if env_id:
                 env = self.config_manager.get_environment(env_id)
                 if env:
-                    logger.info(f"[_get_env][Exit] Found environment by ID in ConfigManager: {env.name}")
+                    app_logger.info(f"[_get_env][Exit] Found environment by ID in ConfigManager: {env.name}")
                     return env
             
             # Priority 2: Database (DeploymentEnvironment)
@@ -342,12 +356,12 @@ class GitPlugin(PluginBase):
                     db_env = db.query(DeploymentEnvironment).filter(DeploymentEnvironment.id == env_id).first()
                 else:
                     # If no ID, try to find active or any environment in DB
-                    db_env = db.query(DeploymentEnvironment).filter(DeploymentEnvironment.is_active == True).first()
+                    db_env = db.query(DeploymentEnvironment).filter(DeploymentEnvironment.is_active).first()
                     if not db_env:
                         db_env = db.query(DeploymentEnvironment).first()
 
                 if db_env:
-                    logger.info(f"[_get_env][Exit] Found environment in DB: {db_env.name}")
+                    app_logger.info(f"[_get_env][Exit] Found environment in DB: {db_env.name}")
                     from src.core.config_models import Environment
                     # Use token as password for SupersetClient
                     return Environment(
@@ -369,14 +383,14 @@ class GitPlugin(PluginBase):
                     # but we have other envs, maybe it's one of them?
                     env = next((e for e in envs if e.id == env_id), None)
                     if env:
-                        logger.info(f"[_get_env][Exit] Found environment {env_id} in ConfigManager list")
+                        app_logger.info(f"[_get_env][Exit] Found environment {env_id} in ConfigManager list")
                         return env
                 
                 if not env_id:
-                    logger.info(f"[_get_env][Exit] Using first environment from ConfigManager: {envs[0].name}")
+                    app_logger.info(f"[_get_env][Exit] Using first environment from ConfigManager: {envs[0].name}")
                     return envs[0]
                 
-            logger.error(f"[_get_env][Coherence:Failed] No environments configured (searched config.json and DB). env_id={env_id}")
+            app_logger.error(f"[_get_env][Coherence:Failed] No environments configured (searched config.json and DB). env_id={env_id}")
             raise ValueError("No environments configured. Please add a Superset Environment in Settings.")
     # [/DEF:_get_env:Function]
 

backend/src/plugins/llm_analysis/__init__.py

@@ -0,0 +1,14 @@
+# [DEF:backend/src/plugins/llm_analysis/__init__.py:Module]
+# @TIER: TRIVIAL
+# @PURPOSE: Initialize the LLM Analysis plugin package.
+# @LAYER: Domain
+
+"""
+LLM Analysis Plugin for automated dashboard validation and dataset documentation.
+"""
+
+from .plugin import DashboardValidationPlugin, DocumentationPlugin
+
+__all__ = ['DashboardValidationPlugin', 'DocumentationPlugin']
+
+# [/DEF:backend/src/plugins/llm_analysis/__init__.py:Module]

backend/src/plugins/llm_analysis/models.py

@@ -0,0 +1,61 @@
+# [DEF:backend/src/plugins/llm_analysis/models.py:Module]
+# @TIER: STANDARD
+# @SEMANTICS: pydantic, models, llm
+# @PURPOSE: Define Pydantic models for LLM Analysis plugin.
+# @LAYER: Domain
+
+from typing import List, Optional
+from pydantic import BaseModel, Field
+from datetime import datetime
+from enum import Enum
+
+# [DEF:LLMProviderType:Class]
+# @PURPOSE: Enum for supported LLM providers.
+class LLMProviderType(str, Enum):
+    OPENAI = "openai"
+    OPENROUTER = "openrouter"
+    KILO = "kilo"
+# [/DEF:LLMProviderType:Class]
+
+# [DEF:LLMProviderConfig:Class]
+# @PURPOSE: Configuration for an LLM provider.
+class LLMProviderConfig(BaseModel):
+    id: Optional[str] = None
+    provider_type: LLMProviderType
+    name: str
+    base_url: str
+    api_key: Optional[str] = None
+    default_model: str
+    is_active: bool = True
+# [/DEF:LLMProviderConfig:Class]
+
+# [DEF:ValidationStatus:Class]
+# @PURPOSE: Enum for dashboard validation status.
+class ValidationStatus(str, Enum):
+    PASS = "PASS"
+    WARN = "WARN"
+    FAIL = "FAIL"
+# [/DEF:ValidationStatus:Class]
+
+# [DEF:DetectedIssue:Class]
+# @PURPOSE: Model for a single issue detected during validation.
+class DetectedIssue(BaseModel):
+    severity: ValidationStatus
+    message: str
+    location: Optional[str] = None
+# [/DEF:DetectedIssue:Class]
+
+# [DEF:ValidationResult:Class]
+# @PURPOSE: Model for dashboard validation result.
+class ValidationResult(BaseModel):
+    id: Optional[str] = None
+    dashboard_id: str
+    timestamp: datetime = Field(default_factory=datetime.utcnow)
+    status: ValidationStatus
+    screenshot_path: Optional[str] = None
+    issues: List[DetectedIssue]
+    summary: str
+    raw_response: Optional[str] = None
+# [/DEF:ValidationResult:Class]
+
+# [/DEF:backend/src/plugins/llm_analysis/models.py:Module]

backend/src/plugins/llm_analysis/plugin.py

@@ -0,0 +1,391 @@
+# [DEF:backend/src/plugins/llm_analysis/plugin.py:Module]
+# @TIER: STANDARD
+# @SEMANTICS: plugin, llm, analysis, documentation
+# @PURPOSE: Implements DashboardValidationPlugin and DocumentationPlugin.
+# @LAYER: Domain
+# @RELATION: INHERITS -> backend.src.core.plugin_base.PluginBase
+# @RELATION: CALLS -> backend.src.plugins.llm_analysis.service.ScreenshotService
+# @RELATION: CALLS -> backend.src.plugins.llm_analysis.service.LLMClient
+# @RELATION: CALLS -> backend.src.services.llm_provider.LLMProviderService
+# @RELATION: USES -> TaskContext
+# @INVARIANT: All LLM interactions must be executed as asynchronous tasks.
+
+from typing import Dict, Any, Optional
+import os
+import json
+from datetime import datetime, timedelta
+from ...core.plugin_base import PluginBase
+from ...core.logger import belief_scope, logger
+from ...core.database import SessionLocal
+from ...services.llm_provider import LLMProviderService
+from ...core.superset_client import SupersetClient
+from .service import ScreenshotService, LLMClient
+from .models import LLMProviderType, ValidationStatus, ValidationResult, DetectedIssue
+from ...models.llm import ValidationRecord
+from ...core.task_manager.context import TaskContext
+
+# [DEF:DashboardValidationPlugin:Class]
+# @PURPOSE: Plugin for automated dashboard health analysis using LLMs.
+# @RELATION: IMPLEMENTS -> backend.src.core.plugin_base.PluginBase
+class DashboardValidationPlugin(PluginBase):
+    @property
+    def id(self) -> str:
+        return "llm_dashboard_validation"
+
+    @property
+    def name(self) -> str:
+        return "Dashboard LLM Validation"
+
+    @property
+    def description(self) -> str:
+        return "Automated dashboard health analysis using multimodal LLMs."
+
+    @property
+    def version(self) -> str:
+        return "1.0.0"
+
+    def get_schema(self) -> Dict[str, Any]:
+        return {
+            "type": "object",
+            "properties": {
+                "dashboard_id": {"type": "string", "title": "Dashboard ID"},
+                "environment_id": {"type": "string", "title": "Environment ID"},
+                "provider_id": {"type": "string", "title": "LLM Provider ID"}
+            },
+            "required": ["dashboard_id", "environment_id", "provider_id"]
+        }
+
+    # [DEF:DashboardValidationPlugin.execute:Function]
+    # @PURPOSE: Executes the dashboard validation task with TaskContext support.
+    # @PARAM: params (Dict[str, Any]) - Validation parameters.
+    # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.
+    # @PRE: params contains dashboard_id, environment_id, and provider_id.
+    # @POST: Returns a dictionary with validation results and persists them to the database.
+    # @SIDE_EFFECT: Captures a screenshot, calls LLM API, and writes to the database.
+    async def execute(self, params: Dict[str, Any], context: Optional[TaskContext] = None):
+        with belief_scope("execute", f"plugin_id={self.id}"):
+            # Use TaskContext logger if available, otherwise fall back to app logger
+            log = context.logger if context else logger
+            
+            # Create sub-loggers for different components
+            llm_log = log.with_source("llm") if context else log
+            screenshot_log = log.with_source("screenshot") if context else log
+            superset_log = log.with_source("superset_api") if context else log
+            
+            log.info(f"Executing {self.name} with params: {params}")
+            
+            dashboard_id = params.get("dashboard_id")
+            env_id = params.get("environment_id")
+            provider_id = params.get("provider_id")
+
+            db = SessionLocal()
+            try:
+                # 1. Get Environment
+                from ...dependencies import get_config_manager
+                config_mgr = get_config_manager()
+                env = config_mgr.get_environment(env_id)
+                if not env:
+                    log.error(f"Environment {env_id} not found")
+                    raise ValueError(f"Environment {env_id} not found")
+
+                # 2. Get LLM Provider
+                llm_service = LLMProviderService(db)
+                db_provider = llm_service.get_provider(provider_id)
+                if not db_provider:
+                    log.error(f"LLM Provider {provider_id} not found")
+                    raise ValueError(f"LLM Provider {provider_id} not found")
+                
+                llm_log.debug("Retrieved provider config:")
+                llm_log.debug(f"  Provider ID: {db_provider.id}")
+                llm_log.debug(f"  Provider Name: {db_provider.name}")
+                llm_log.debug(f"  Provider Type: {db_provider.provider_type}")
+                llm_log.debug(f"  Base URL: {db_provider.base_url}")
+                llm_log.debug(f"  Default Model: {db_provider.default_model}")
+                llm_log.debug(f"  Is Active: {db_provider.is_active}")
+                
+                api_key = llm_service.get_decrypted_api_key(provider_id)
+                llm_log.debug(f"API Key decrypted (first 8 chars): {api_key[:8] if api_key and len(api_key) > 8 else 'EMPTY_OR_NONE'}...")
+                
+                # Check if API key was successfully decrypted
+                if not api_key:
+                    raise ValueError(
+                        f"Failed to decrypt API key for provider {provider_id}. "
+                        f"The provider may have been encrypted with a different encryption key. "
+                        f"Please update the provider with a new API key through the UI."
+                    )
+
+                # 3. Capture Screenshot
+                screenshot_service = ScreenshotService(env)
+                
+                storage_root = config_mgr.get_config().settings.storage.root_path
+                screenshots_dir = os.path.join(storage_root, "screenshots")
+                os.makedirs(screenshots_dir, exist_ok=True)
+                
+                filename = f"{dashboard_id}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.png"
+                screenshot_path = os.path.join(screenshots_dir, filename)
+                
+                screenshot_log.info(f"Capturing screenshot for dashboard {dashboard_id}")
+                await screenshot_service.capture_dashboard(dashboard_id, screenshot_path)
+                screenshot_log.debug(f"Screenshot saved to: {screenshot_path}")
+
+                # 4. Fetch Logs (from Environment /api/v1/log/)
+                logs = []
+                try:
+                    client = SupersetClient(env)
+                    
+                    # Calculate time window (last 24 hours)
+                    start_time = (datetime.now() - timedelta(hours=24)).isoformat()
+                    
+                    # Construct filter for logs
+                    # Note: We filter by dashboard_id matching the object
+                    query_params = {
+                        "filters": [
+                            {"col": "dashboard_id", "opr": "eq", "value": dashboard_id},
+                            {"col": "dttm", "opr": "gt", "value": start_time}
+                        ],
+                        "order_column": "dttm",
+                        "order_direction": "desc",
+                        "page": 0,
+                        "page_size": 100
+                    }
+                    
+                    superset_log.debug(f"Fetching logs for dashboard {dashboard_id}")
+                    response = client.network.request(
+                        method="GET",
+                        endpoint="/log/",
+                        params={"q": json.dumps(query_params)}
+                    )
+                    
+                    if isinstance(response, dict) and "result" in response:
+                        for item in response["result"]:
+                            action = item.get("action", "unknown")
+                            dttm = item.get("dttm", "")
+                            details = item.get("json", "")
+                            logs.append(f"[{dttm}] {action}: {details}")
+                    
+                    if not logs:
+                        logs = ["No recent logs found for this dashboard."]
+                        superset_log.debug("No recent logs found for this dashboard")
+
+                except Exception as e:
+                    superset_log.warning(f"Failed to fetch logs from environment: {e}")
+                    logs = [f"Error fetching remote logs: {str(e)}"]
+
+                # 5. Analyze with LLM
+                llm_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
+                )
+                
+                llm_log.info(f"Analyzing dashboard {dashboard_id} with LLM")
+                analysis = await llm_client.analyze_dashboard(screenshot_path, logs)
+                
+                # Log analysis summary to task logs for better visibility
+                llm_log.info(f"[ANALYSIS_SUMMARY] Status: {analysis['status']}")
+                llm_log.info(f"[ANALYSIS_SUMMARY] Summary: {analysis['summary']}")
+                if analysis.get("issues"):
+                    for i, issue in enumerate(analysis["issues"]):
+                        llm_log.info(f"[ANALYSIS_ISSUE][{i+1}] {issue.get('severity')}: {issue.get('message')} (Location: {issue.get('location', 'N/A')})")
+
+                # 6. Persist Result
+                validation_result = ValidationResult(
+                    dashboard_id=dashboard_id,
+                    status=ValidationStatus(analysis["status"]),
+                    summary=analysis["summary"],
+                    issues=[DetectedIssue(**issue) for issue in analysis["issues"]],
+                    screenshot_path=screenshot_path,
+                    raw_response=str(analysis)
+                )
+
+                db_record = ValidationRecord(
+                    dashboard_id=validation_result.dashboard_id,
+                    status=validation_result.status.value,
+                    summary=validation_result.summary,
+                    issues=[issue.dict() for issue in validation_result.issues],
+                    screenshot_path=validation_result.screenshot_path,
+                    raw_response=validation_result.raw_response
+                )
+                db.add(db_record)
+                db.commit()
+
+                # 7. Notification on failure (US1 / FR-015)
+                if validation_result.status == ValidationStatus.FAIL:
+                    log.warning(f"Dashboard {dashboard_id} validation FAILED. Summary: {validation_result.summary}")
+                    # Placeholder for Email/Pulse notification dispatch
+                    # In a real implementation, we would call a NotificationService here
+                    # with a payload containing the summary and a link to the report.
+
+                # Final log to ensure all analysis is visible in task logs
+                log.info(f"Validation completed for dashboard {dashboard_id}. Status: {validation_result.status.value}")
+                
+                return validation_result.dict()
+
+            finally:
+                db.close()
+    # [/DEF:DashboardValidationPlugin.execute:Function]
+# [/DEF:DashboardValidationPlugin:Class]
+
+# [DEF:DocumentationPlugin:Class]
+# @PURPOSE: Plugin for automated dataset documentation using LLMs.
+# @RELATION: IMPLEMENTS -> backend.src.core.plugin_base.PluginBase
+class DocumentationPlugin(PluginBase):
+    @property
+    def id(self) -> str:
+        return "llm_documentation"
+
+    @property
+    def name(self) -> str:
+        return "Dataset LLM Documentation"
+
+    @property
+    def description(self) -> str:
+        return "Automated dataset and column documentation using LLMs."
+
+    @property
+    def version(self) -> str:
+        return "1.0.0"
+
+    def get_schema(self) -> Dict[str, Any]:
+        return {
+            "type": "object",
+            "properties": {
+                "dataset_id": {"type": "string", "title": "Dataset ID"},
+                "environment_id": {"type": "string", "title": "Environment ID"},
+                "provider_id": {"type": "string", "title": "LLM Provider ID"}
+            },
+            "required": ["dataset_id", "environment_id", "provider_id"]
+        }
+
+    # [DEF:DocumentationPlugin.execute:Function]
+    # @PURPOSE: Executes the dataset documentation task with TaskContext support.
+    # @PARAM: params (Dict[str, Any]) - Documentation parameters.
+    # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.
+    # @PRE: params contains dataset_id, environment_id, and provider_id.
+    # @POST: Returns generated documentation and updates the dataset in Superset.
+    # @SIDE_EFFECT: Calls LLM API and updates dataset metadata in Superset.
+    async def execute(self, params: Dict[str, Any], context: Optional[TaskContext] = None):
+        with belief_scope("execute", f"plugin_id={self.id}"):
+            # Use TaskContext logger if available, otherwise fall back to app logger
+            log = context.logger if context else logger
+            
+            # Create sub-loggers for different components
+            llm_log = log.with_source("llm") if context else log
+            superset_log = log.with_source("superset_api") if context else log
+            
+            log.info(f"Executing {self.name} with params: {params}")
+            
+            dataset_id = params.get("dataset_id")
+            env_id = params.get("environment_id")
+            provider_id = params.get("provider_id")
+
+            db = SessionLocal()
+            try:
+                # 1. Get Environment
+                from ...dependencies import get_config_manager
+                config_mgr = get_config_manager()
+                env = config_mgr.get_environment(env_id)
+                if not env:
+                    log.error(f"Environment {env_id} not found")
+                    raise ValueError(f"Environment {env_id} not found")
+
+                # 2. Get LLM Provider
+                llm_service = LLMProviderService(db)
+                db_provider = llm_service.get_provider(provider_id)
+                if not db_provider:
+                    log.error(f"LLM Provider {provider_id} not found")
+                    raise ValueError(f"LLM Provider {provider_id} not found")
+                
+                llm_log.debug("Retrieved provider config:")
+                llm_log.debug(f"  Provider ID: {db_provider.id}")
+                llm_log.debug(f"  Provider Name: {db_provider.name}")
+                llm_log.debug(f"  Provider Type: {db_provider.provider_type}")
+                llm_log.debug(f"  Base URL: {db_provider.base_url}")
+                llm_log.debug(f"  Default Model: {db_provider.default_model}")
+                
+                api_key = llm_service.get_decrypted_api_key(provider_id)
+                llm_log.debug(f"API Key decrypted (first 8 chars): {api_key[:8] if api_key and len(api_key) > 8 else 'EMPTY_OR_NONE'}...")
+                
+                # Check if API key was successfully decrypted
+                if not api_key:
+                    raise ValueError(
+                        f"Failed to decrypt API key for provider {provider_id}. "
+                        f"The provider may have been encrypted with a different encryption key. "
+                        f"Please update the provider with a new API key through the UI."
+                    )
+
+                # 3. Fetch Metadata (US2 / T024)
+                from ...core.superset_client import SupersetClient
+                client = SupersetClient(env)
+                
+                superset_log.debug(f"Fetching dataset {dataset_id}")
+                dataset = client.get_dataset(int(dataset_id))
+                
+                # Extract columns and existing descriptions
+                columns_data = []
+                for col in dataset.get("columns", []):
+                    columns_data.append({
+                        "name": col.get("column_name"),
+                        "type": col.get("type"),
+                        "description": col.get("description")
+                    })
+                superset_log.debug(f"Extracted {len(columns_data)} columns from dataset")
+
+                # 4. Construct Prompt & Analyze (US2 / T025)
+                llm_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
+                )
+                
+                prompt = f"""
+                Generate professional documentation for the following dataset and its columns.
+                Dataset: {dataset.get('table_name')}
+                Columns: {columns_data}
+                
+                Provide the documentation in JSON format:
+                {{
+                    "dataset_description": "General description of the dataset",
+                    "column_descriptions": [
+                        {{
+                            "name": "column_name",
+                            "description": "Generated description"
+                        }}
+                    ]
+                }}
+                """
+                
+                # Using a generic chat completion for text-only US2
+                llm_log.info(f"Generating documentation for dataset {dataset_id}")
+                doc_result = await llm_client.get_json_completion([{"role": "user", "content": prompt}])
+
+                # 5. Update Metadata (US2 / T026)
+                update_payload = {
+                    "description": doc_result["dataset_description"],
+                    "columns": []
+                }
+                
+                # Map generated descriptions back to column IDs
+                for col_doc in doc_result["column_descriptions"]:
+                    for col in dataset.get("columns", []):
+                        if col.get("column_name") == col_doc["name"]:
+                            update_payload["columns"].append({
+                                "id": col.get("id"),
+                                "description": col_doc["description"]
+                            })
+
+                superset_log.info(f"Updating dataset {dataset_id} with generated documentation")
+                client.update_dataset(int(dataset_id), update_payload)
+                
+                log.info(f"Documentation completed for dataset {dataset_id}")
+                
+                return doc_result
+
+            finally:
+                db.close()
+    # [/DEF:DocumentationPlugin.execute:Function]
+# [/DEF:DocumentationPlugin:Class]
+
+# [/DEF:backend/src/plugins/llm_analysis/plugin.py:Module]

backend/src/plugins/llm_analysis/scheduler.py

@@ -0,0 +1,62 @@
+# [DEF:backend/src/plugins/llm_analysis/scheduler.py:Module]
+# @TIER: STANDARD
+# @SEMANTICS: scheduler, task, automation
+# @PURPOSE: Provides helper functions to schedule LLM-based validation tasks.
+# @LAYER: Domain
+# @RELATION: DEPENDS_ON -> backend.src.core.scheduler
+
+from typing import Dict, Any
+from ...dependencies import get_task_manager, get_scheduler_service
+from ...core.logger import belief_scope, logger
+
+# [DEF:schedule_dashboard_validation:Function]
+# @PURPOSE: Schedules a recurring dashboard validation task.
+# @PARAM: dashboard_id (str) - ID of the dashboard to validate.
+# @PARAM: cron_expression (str) - Standard cron expression for scheduling.
+# @PARAM: params (Dict[str, Any]) - Task parameters (environment_id, provider_id).
+# @SIDE_EFFECT: Adds a job to the scheduler service.
+def schedule_dashboard_validation(dashboard_id: str, cron_expression: str, params: Dict[str, Any]):
+    with belief_scope("schedule_dashboard_validation", f"dashboard_id={dashboard_id}"):
+        scheduler = get_scheduler_service()
+        task_manager = get_task_manager()
+        
+        job_id = f"llm_val_{dashboard_id}"
+        
+        async def job_func():
+            await task_manager.create_task(
+                plugin_id="llm_dashboard_validation",
+                params={
+                    "dashboard_id": dashboard_id,
+                    **params
+                }
+            )
+
+        scheduler.add_job(
+            job_func,
+            "cron",
+            id=job_id,
+            replace_existing=True,
+            **_parse_cron(cron_expression)
+        )
+        logger.info(f"Scheduled validation for dashboard {dashboard_id} with cron {cron_expression}")
+# [/DEF:schedule_dashboard_validation:Function]
+
+# [DEF:_parse_cron:Function]
+# @PURPOSE: Basic cron parser placeholder.
+# @PARAM: cron (str) - Cron expression.
+# @RETURN: Dict[str, str] - Parsed cron parts.
+def _parse_cron(cron: str) -> Dict[str, str]:
+    # Basic cron parser placeholder
+    parts = cron.split()
+    if len(parts) != 5:
+        return {}
+    return {
+        "minute": parts[0],
+        "hour": parts[1],
+        "day": parts[2],
+        "month": parts[3],
+        "day_of_week": parts[4]
+    }
+# [/DEF:_parse_cron:Function]
+
+# [/DEF:backend/src/plugins/llm_analysis/scheduler.py:Module]

backend/src/plugins/llm_analysis/service.py

@@ -0,0 +1,632 @@
+# [DEF:backend/src/plugins/llm_analysis/service.py:Module]
+# @TIER: STANDARD
+# @SEMANTICS: service, llm, screenshot, playwright, openai
+# @PURPOSE: Services for LLM interaction and dashboard screenshots.
+# @LAYER: Domain
+# @RELATION: DEPENDS_ON -> playwright
+# @RELATION: DEPENDS_ON -> openai
+# @RELATION: DEPENDS_ON -> tenacity
+# @INVARIANT: Screenshots must be 1920px width and capture full page height.
+
+import asyncio
+import base64
+import json
+import io
+from typing import List, Dict, Any
+from PIL import Image
+from playwright.async_api import async_playwright
+from openai import AsyncOpenAI, RateLimitError, AuthenticationError as OpenAIAuthenticationError
+from tenacity import retry, stop_after_attempt, wait_exponential, retry_if_exception
+from .models import LLMProviderType
+from ...core.logger import belief_scope, logger
+from ...core.config_models import Environment
+
+# [DEF:ScreenshotService:Class]
+# @PURPOSE: Handles capturing screenshots of Superset dashboards.
+class ScreenshotService:
+    # [DEF:ScreenshotService.__init__:Function]
+    # @PURPOSE: Initializes the ScreenshotService with environment configuration.
+    # @PRE: env is a valid Environment object.
+    def __init__(self, env: Environment):
+        self.env = env
+    # [/DEF:ScreenshotService.__init__:Function]
+
+    # [DEF:ScreenshotService.capture_dashboard:Function]
+    # @PURPOSE: Captures a full-page screenshot of a dashboard using Playwright and CDP.
+    # @PRE: dashboard_id is a valid string, output_path is a writable path.
+    # @POST: Returns True if screenshot is saved successfully.
+    # @SIDE_EFFECT: Launches a browser, performs UI login, switches tabs, and writes a PNG file.
+    # @UX_STATE: [Navigating] -> Loading dashboard UI
+    # @UX_STATE: [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading
+    # @UX_STATE: [CalculatingHeight] -> Determining dashboard dimensions
+    # @UX_STATE: [Capturing] -> Executing CDP screenshot
+    async def capture_dashboard(self, dashboard_id: str, output_path: str) -> bool:
+        with belief_scope("capture_dashboard", f"dashboard_id={dashboard_id}"):
+            logger.info(f"Capturing screenshot for dashboard {dashboard_id}")
+            async with async_playwright() as p:
+                browser = await p.chromium.launch(
+                    headless=True,
+                    args=[
+                        "--disable-blink-features=AutomationControlled",
+                        "--disable-infobars",
+                        "--no-sandbox"
+                    ]
+                )
+                # Set a realistic user agent to avoid 403 Forbidden from OpenResty/WAF
+                user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
+                # Construct base UI URL from environment (strip /api/v1 suffix)
+                base_ui_url = self.env.url.rstrip("/")
+                if base_ui_url.endswith("/api/v1"):
+                    base_ui_url = base_ui_url[:-len("/api/v1")]
+                
+                # Create browser context with realistic headers
+                context = await browser.new_context(
+                    viewport={'width': 1280, 'height': 720},
+                    user_agent=user_agent,
+                    extra_http_headers={
+                        "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
+                        "Accept-Language": "ru-RU,ru;q=0.9,en-US;q=0.8,en;q=0.7",
+                        "Upgrade-Insecure-Requests": "1",
+                        "Sec-Fetch-Dest": "document",
+                        "Sec-Fetch-Mode": "navigate",
+                        "Sec-Fetch-Site": "none",
+                        "Sec-Fetch-User": "?1"
+                    }
+                )
+                logger.info("Browser context created successfully")
+
+                page = await context.new_page()
+                # Bypass navigator.webdriver detection
+                await page.add_init_script("delete Object.getPrototypeOf(navigator).webdriver")
+
+                # 1. Navigate to login page and authenticate
+                login_url = f"{base_ui_url.rstrip('/')}/login/"
+                logger.info(f"[DEBUG] Navigating to login page: {login_url}")
+                
+                response = await page.goto(login_url, wait_until="networkidle", timeout=60000)
+                if response:
+                    logger.info(f"[DEBUG] Login page response status: {response.status}")
+                
+                # Wait for login form to be ready
+                await page.wait_for_load_state("domcontentloaded")
+                
+                # More exhaustive list of selectors for various Superset versions/themes
+                selectors = {
+                    "username": ['input[name="username"]', 'input#username', 'input[placeholder*="Username"]', 'input[type="text"]'],
+                    "password": ['input[name="password"]', 'input#password', 'input[placeholder*="Password"]', 'input[type="password"]'],
+                    "submit": ['button[type="submit"]', 'button#submit', '.btn-primary', 'input[type="submit"]']
+                }
+                logger.info("[DEBUG] Attempting to find login form elements...")
+                
+                try:
+                    # Find and fill username
+                    u_selector = None
+                    for s in selectors["username"]:
+                        count = await page.locator(s).count()
+                        logger.info(f"[DEBUG] Selector '{s}': {count} elements found")
+                        if count > 0:
+                            u_selector = s
+                            break
+                    
+                    if not u_selector:
+                        # Log all input fields on the page for debugging
+                        all_inputs = await page.locator('input').all()
+                        logger.info(f"[DEBUG] Found {len(all_inputs)} input fields on page")
+                        for i, inp in enumerate(all_inputs[:5]):  # Log first 5
+                            inp_type = await inp.get_attribute('type')
+                            inp_name = await inp.get_attribute('name')
+                            inp_id = await inp.get_attribute('id')
+                            logger.info(f"[DEBUG] Input {i}: type={inp_type}, name={inp_name}, id={inp_id}")
+                        raise RuntimeError("Could not find username input field on login page")
+                    
+                    logger.info(f"[DEBUG] Filling username field with selector: {u_selector}")
+                    await page.fill(u_selector, self.env.username)
+                    
+                    # Find and fill password
+                    p_selector = None
+                    for s in selectors["password"]:
+                        if await page.locator(s).count() > 0:
+                            p_selector = s
+                            break
+                    
+                    if not p_selector:
+                        raise RuntimeError("Could not find password input field on login page")
+                    
+                    logger.info(f"[DEBUG] Filling password field with selector: {p_selector}")
+                    await page.fill(p_selector, self.env.password)
+                    
+                    # Click submit
+                    s_selector = selectors["submit"][0]
+                    for s in selectors["submit"]:
+                        if await page.locator(s).count() > 0:
+                            s_selector = s
+                            break
+                    
+                    logger.info(f"[DEBUG] Clicking submit button with selector: {s_selector}")
+                    await page.click(s_selector)
+                    
+                    # Wait for navigation after login
+                    await page.wait_for_load_state("networkidle", timeout=30000)
+                    
+                    # Check if login was successful
+                    if "/login" in page.url:
+                        # Check for error messages on page
+                        error_msg = await page.locator(".alert-danger, .error-message").text_content() if await page.locator(".alert-danger, .error-message").count() > 0 else "Unknown error"
+                        logger.error(f"[DEBUG] Login failed. Still on login page. Error: {error_msg}")
+                        debug_path = output_path.replace(".png", "_debug_failed_login.png")
+                        await page.screenshot(path=debug_path)
+                        raise RuntimeError(f"Login failed: {error_msg}. Debug screenshot saved to {debug_path}")
+                    
+                    logger.info(f"[DEBUG] Login successful. Current URL: {page.url}")
+                    
+                    # Check cookies after successful login
+                    page_cookies = await context.cookies()
+                    logger.info(f"[DEBUG] Cookies after login: {len(page_cookies)}")
+                    for c in page_cookies:
+                        logger.info(f"[DEBUG] Cookie: name={c['name']}, domain={c['domain']}, value={c.get('value', '')[:20]}...")
+                    
+                except Exception as e:
+                    page_title = await page.title()
+                    logger.error(f"UI Login failed. Page title: {page_title}, URL: {page.url}, Error: {str(e)}")
+                    debug_path = output_path.replace(".png", "_debug_failed_login.png")
+                    await page.screenshot(path=debug_path)
+                    raise RuntimeError(f"Login failed: {str(e)}. Debug screenshot saved to {debug_path}")
+
+                # 2. Navigate to dashboard
+                # @UX_STATE: [Navigating] -> Loading dashboard UI
+                dashboard_url = f"{base_ui_url.rstrip('/')}/superset/dashboard/{dashboard_id}/?standalone=true"
+                
+                if base_ui_url.startswith("https://") and dashboard_url.startswith("http://"):
+                    dashboard_url = dashboard_url.replace("http://", "https://")
+
+                logger.info(f"[DEBUG] Navigating to dashboard: {dashboard_url}")
+                
+                # Use networkidle to ensure all initial assets are loaded
+                response = await page.goto(dashboard_url, wait_until="networkidle", timeout=60000)
+                
+                if response:
+                    logger.info(f"[DEBUG] Dashboard navigation response status: {response.status}, URL: {response.url}")
+                
+                try:
+                    # Wait for the dashboard grid to be present
+                    await page.wait_for_selector('.dashboard-component, .dashboard-header, [data-test="dashboard-grid"]', timeout=30000)
+                    logger.info("[DEBUG] Dashboard container loaded")
+                    
+                    # Wait for charts to finish loading (Superset uses loading spinners/skeletons)
+                    # We wait until loading indicators disappear or a timeout occurs
+                    try:
+                        # Wait for loading indicators to disappear
+                        await page.wait_for_selector('.loading, .ant-skeleton, .spinner', state="hidden", timeout=60000)
+                        logger.info("[DEBUG] Loading indicators hidden")
+                    except Exception:
+                        logger.warning("[DEBUG] Timeout waiting for loading indicators to hide")
+
+                    # Wait for charts to actually render their content (e.g., ECharts, NVD3)
+                    # We look for common chart containers that should have content
+                    try:
+                        await page.wait_for_selector('.chart-container canvas, .slice_container svg, .superset-chart-canvas, .grid-content .chart-container', timeout=60000)
+                        logger.info("[DEBUG] Chart content detected")
+                    except Exception:
+                        logger.warning("[DEBUG] Timeout waiting for chart content")
+
+                    # Additional check: wait for all chart containers to have non-empty content
+                    logger.info("[DEBUG] Waiting for all charts to have rendered content...")
+                    await page.wait_for_function("""() => {
+                        const charts = document.querySelectorAll('.chart-container, .slice_container');
+                        if (charts.length === 0) return true; // No charts to wait for
+                        
+                        // Check if all charts have rendered content (canvas, svg, or non-empty div)
+                        return Array.from(charts).every(chart => {
+                            const hasCanvas = chart.querySelector('canvas') !== null;
+                            const hasSvg = chart.querySelector('svg') !== null;
+                            const hasContent = chart.innerText.trim().length > 0 || chart.children.length > 0;
+                            return hasCanvas || hasSvg || hasContent;
+                        });
+                    }""", timeout=60000)
+                    logger.info("[DEBUG] All charts have rendered content")
+
+                    # Scroll to bottom and back to top to trigger lazy loading of all charts
+                    logger.info("[DEBUG] Scrolling to trigger lazy loading...")
+                    await page.evaluate("""async () => {
+                        const delay = ms => new Promise(resolve => setTimeout(resolve, ms));
+                        for (let i = 0; i < document.body.scrollHeight; i += 500) {
+                            window.scrollTo(0, i);
+                            await delay(100);
+                        }
+                        window.scrollTo(0, 0);
+                        await delay(500);
+                    }""")
+
+                except Exception as e:
+                    logger.warning(f"[DEBUG] Dashboard content wait failed: {e}, proceeding anyway after delay")
+                
+                # Final stabilization delay - increased for complex dashboards
+                logger.info("[DEBUG] Final stabilization delay...")
+                await asyncio.sleep(15)
+
+                # Logic to handle tabs and full-page capture
+                try:
+                    # 1. Handle Tabs (Recursive switching)
+                    # @UX_STATE: [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading
+                    processed_tabs = set()
+
+                    async def switch_tabs(depth=0):
+                        if depth > 3:
+                            return # Limit recursion depth
+                        
+                        tab_selectors = [
+                            '.ant-tabs-nav-list .ant-tabs-tab',
+                            '.dashboard-component-tabs .ant-tabs-tab',
+                            '[data-test="dashboard-component-tabs"] .ant-tabs-tab'
+                        ]
+                        
+                        found_tabs = []
+                        for selector in tab_selectors:
+                            found_tabs = await page.locator(selector).all()
+                            if found_tabs:
+                                break
+                            
+                        if found_tabs:
+                            logger.info(f"[DEBUG][TabSwitching] Found {len(found_tabs)} tabs at depth {depth}")
+                            for i, tab in enumerate(found_tabs):
+                                try:
+                                    tab_text = (await tab.inner_text()).strip()
+                                    tab_id = f"{depth}_{i}_{tab_text}"
+                                    
+                                    if tab_id in processed_tabs:
+                                        continue
+                                    
+                                    if await tab.is_visible():
+                                        logger.info(f"[DEBUG][TabSwitching] Switching to tab: {tab_text}")
+                                        processed_tabs.add(tab_id)
+                                        
+                                        is_active = "ant-tabs-tab-active" in (await tab.get_attribute("class") or "")
+                                        if not is_active:
+                                            await tab.click()
+                                            await asyncio.sleep(2) # Wait for content to render
+                                        
+                                        await switch_tabs(depth + 1)
+                                except Exception as tab_e:
+                                    logger.warning(f"[DEBUG][TabSwitching] Failed to process tab {i}: {tab_e}")
+                            
+                            try:
+                                first_tab = found_tabs[0]
+                                if "ant-tabs-tab-active" not in (await first_tab.get_attribute("class") or ""):
+                                    await first_tab.click()
+                                    await asyncio.sleep(1)
+                            except Exception:
+                                pass
+
+                    await switch_tabs()
+
+                    # 2. Calculate full height for screenshot
+                    # @UX_STATE: [CalculatingHeight] -> Determining dashboard dimensions
+                    full_height = await page.evaluate("""() => {
+                        const body = document.body;
+                        const html = document.documentElement;
+                        const dashboardContent = document.querySelector('.dashboard-content');
+                        
+                        return Math.max(
+                            body.scrollHeight, body.offsetHeight,
+                            html.clientHeight, html.scrollHeight, html.offsetHeight,
+                            dashboardContent ? dashboardContent.scrollHeight + 100 : 0
+                        );
+                    }""")
+                    logger.info(f"[DEBUG] Calculated full height: {full_height}")
+                    
+                    # DIAGNOSTIC: Count chart elements before resize
+                    chart_count_before = await page.evaluate("""() => {
+                        return {
+                            chartContainers: document.querySelectorAll('.chart-container, .slice_container').length,
+                            canvasElements: document.querySelectorAll('canvas').length,
+                            svgElements: document.querySelectorAll('.chart-container svg, .slice_container svg').length,
+                            visibleCharts: document.querySelectorAll('.chart-container:visible, .slice_container:visible').length
+                        };
+                    }""")
+                    logger.info(f"[DIAGNOSTIC] Chart elements BEFORE viewport resize: {chart_count_before}")
+                    
+                    # DIAGNOSTIC: Capture pre-resize screenshot for comparison
+                    pre_resize_path = output_path.replace(".png", "_preresize.png")
+                    try:
+                        await page.screenshot(path=pre_resize_path, full_page=False, timeout=10000)
+                        import os
+                        pre_resize_size = os.path.getsize(pre_resize_path) if os.path.exists(pre_resize_path) else 0
+                        logger.info(f"[DIAGNOSTIC] Pre-resize screenshot saved: {pre_resize_path} ({pre_resize_size} bytes)")
+                    except Exception as pre_e:
+                        logger.warning(f"[DIAGNOSTIC] Failed to capture pre-resize screenshot: {pre_e}")
+                    
+                    logger.info(f"[DIAGNOSTIC] Resizing viewport from current to 1920x{int(full_height)}")
+                    await page.set_viewport_size({"width": 1920, "height": int(full_height)})
+                    
+                    # DIAGNOSTIC: Increased wait time and log timing
+                    logger.info("[DIAGNOSTIC] Waiting 10 seconds after viewport resize for re-render...")
+                    await asyncio.sleep(10)
+                    logger.info("[DIAGNOSTIC] Wait completed")
+                    
+                    # DIAGNOSTIC: Count chart elements after resize and wait
+                    chart_count_after = await page.evaluate("""() => {
+                        return {
+                            chartContainers: document.querySelectorAll('.chart-container, .slice_container').length,
+                            canvasElements: document.querySelectorAll('canvas').length,
+                            svgElements: document.querySelectorAll('.chart-container svg, .slice_container svg').length,
+                            visibleCharts: document.querySelectorAll('.chart-container:visible, .slice_container:visible').length
+                        };
+                    }""")
+                    logger.info(f"[DIAGNOSTIC] Chart elements AFTER viewport resize + wait: {chart_count_after}")
+                    
+                    # DIAGNOSTIC: Check if any charts have error states
+                    chart_errors = await page.evaluate("""() => {
+                        const errors = [];
+                        document.querySelectorAll('.chart-container, .slice_container').forEach((chart, i) => {
+                            const errorEl = chart.querySelector('.error, .alert-danger, .ant-alert-error');
+                            if (errorEl) {
+                                errors.push({index: i, text: errorEl.innerText.substring(0, 100)});
+                            }
+                        });
+                        return errors;
+                    }""")
+                    if chart_errors:
+                        logger.warning(f"[DIAGNOSTIC] Charts with error states detected: {chart_errors}")
+                    else:
+                        logger.info("[DIAGNOSTIC] No chart error states detected")
+
+                    # 3. Take screenshot using CDP to bypass Playwright's font loading wait
+                    # @UX_STATE: [Capturing] -> Executing CDP screenshot
+                    logger.info("[DEBUG] Attempting full-page screenshot via CDP...")
+                    cdp = await page.context.new_cdp_session(page)
+                    
+                    screenshot_data = await cdp.send("Page.captureScreenshot", {
+                        "format": "png",
+                        "fromSurface": True,
+                        "captureBeyondViewport": True
+                    })
+                    
+                    image_data = base64.b64decode(screenshot_data["data"])
+                    
+                    with open(output_path, 'wb') as f:
+                        f.write(image_data)
+                    
+                    # DIAGNOSTIC: Verify screenshot file
+                    import os
+                    final_size = os.path.getsize(output_path) if os.path.exists(output_path) else 0
+                    logger.info(f"[DIAGNOSTIC] Final screenshot saved: {output_path}")
+                    logger.info(f"[DIAGNOSTIC] Final screenshot size: {final_size} bytes ({final_size / 1024:.2f} KB)")
+                    
+                    # DIAGNOSTIC: Get image dimensions
+                    try:
+                        with Image.open(output_path) as final_img:
+                            logger.info(f"[DIAGNOSTIC] Final screenshot dimensions: {final_img.width}x{final_img.height}")
+                    except Exception as img_err:
+                        logger.warning(f"[DIAGNOSTIC] Could not read final image dimensions: {img_err}")
+                        
+                    logger.info(f"Full-page screenshot saved to {output_path} (via CDP)")
+                except Exception as e:
+                    logger.error(f"[DEBUG] Full-page/Tab capture failed: {e}")
+                    try:
+                        await page.screenshot(path=output_path, full_page=True, timeout=10000)
+                    except Exception as e2:
+                        logger.error(f"[DEBUG] Fallback screenshot also failed: {e2}")
+                        await page.screenshot(path=output_path, timeout=5000)
+                
+                await browser.close()
+                return True
+    # [/DEF:ScreenshotService.capture_dashboard:Function]
+# [/DEF:ScreenshotService:Class]
+
+# [DEF:LLMClient:Class]
+# @PURPOSE: Wrapper for LLM provider APIs.
+class LLMClient:
+    # [DEF:LLMClient.__init__:Function]
+    # @PURPOSE: Initializes the LLMClient with provider settings.
+    # @PRE: api_key, base_url, and default_model are non-empty strings.
+    def __init__(self, provider_type: LLMProviderType, api_key: str, base_url: str, default_model: str):
+        self.provider_type = provider_type
+        self.api_key = api_key
+        self.base_url = base_url
+        self.default_model = default_model
+        
+        # DEBUG: Log initialization parameters (without exposing full API key)
+        logger.info("[LLMClient.__init__] Initializing LLM client:")
+        logger.info(f"[LLMClient.__init__]   Provider Type: {provider_type}")
+        logger.info(f"[LLMClient.__init__]   Base URL: {base_url}")
+        logger.info(f"[LLMClient.__init__]   Default Model: {default_model}")
+        logger.info(f"[LLMClient.__init__]   API Key (first 8 chars): {api_key[:8] if api_key and len(api_key) > 8 else 'EMPTY_OR_NONE'}...")
+        logger.info(f"[LLMClient.__init__]   API Key Length: {len(api_key) if api_key else 0}")
+        
+        self.client = AsyncOpenAI(api_key=api_key, base_url=base_url)
+    # [/DEF:LLMClient.__init__:Function]
+
+    # [DEF:LLMClient.get_json_completion:Function]
+    # @PURPOSE: Helper to handle LLM calls with JSON mode and fallback parsing.
+    # @PRE: messages is a list of valid message dictionaries.
+    # @POST: Returns a parsed JSON dictionary.
+    # @SIDE_EFFECT: Calls external LLM API.
+    def _should_retry(exception: Exception) -> bool:
+        """Custom retry predicate that excludes authentication errors."""
+        # Don't retry on authentication errors
+        if isinstance(exception, OpenAIAuthenticationError):
+            return False
+        # Retry on rate limit errors and other exceptions
+        return isinstance(exception, (RateLimitError, Exception))
+    
+    @retry(
+        stop=stop_after_attempt(5),
+        wait=wait_exponential(multiplier=2, min=5, max=60),
+        retry=retry_if_exception(_should_retry),
+        reraise=True
+    )
+    async def get_json_completion(self, messages: List[Dict[str, Any]]) -> Dict[str, Any]:
+        with belief_scope("get_json_completion"):
+            response = None
+            try:
+                try:
+                    logger.info(f"[get_json_completion] Attempting LLM call with JSON mode for model: {self.default_model}")
+                    logger.info(f"[get_json_completion] Base URL being used: {self.base_url}")
+                    logger.info(f"[get_json_completion] Number of messages: {len(messages)}")
+                    logger.info(f"[get_json_completion] API Key present: {bool(self.api_key and len(self.api_key) > 0)}")
+                    
+                    response = await self.client.chat.completions.create(
+                        model=self.default_model,
+                        messages=messages,
+                        response_format={"type": "json_object"}
+                    )
+                except Exception as e:
+                    if "JSON mode is not enabled" in str(e) or "400" in str(e):
+                        logger.warning(f"[get_json_completion] JSON mode failed or not supported: {str(e)}. Falling back to plain text response.")
+                        response = await self.client.chat.completions.create(
+                            model=self.default_model,
+                            messages=messages
+                        )
+                    else:
+                        raise e
+                
+                logger.debug(f"[get_json_completion] LLM Response: {response}")
+            except OpenAIAuthenticationError as e:
+                logger.error(f"[get_json_completion] Authentication error: {str(e)}")
+                # Do not retry on auth errors - re-raise to stop retry
+                raise
+            except RateLimitError as e:
+                logger.warning(f"[get_json_completion] Rate limit hit: {str(e)}")
+                
+                # Extract retry_delay from error metadata if available
+                retry_delay = 5.0 # Default fallback
+                try:
+                    # Based on logs, the raw response is in e.body or e.response.json()
+                    # The logs show 'metadata': {'raw': '...'} which suggests a proxy or specific client wrapper
+                    # Let's try to find the 'retryDelay' in the error message or response
+                    import re
+                    
+                    # Try to find "retryDelay": "XXs" in the string representation of the error
+                    error_str = str(e)
+                    match = re.search(r'"retryDelay":\s*"(\d+)s"', error_str)
+                    if match:
+                        retry_delay = float(match.group(1))
+                    else:
+                        # Try to parse from response if it's a standard OpenAI-like error with body
+                        if hasattr(e, 'body') and isinstance(e.body, dict):
+                            # Some providers put it in details
+                            details = e.body.get('error', {}).get('details', [])
+                            for detail in details:
+                                if detail.get('@type') == 'type.googleapis.com/google.rpc.RetryInfo':
+                                    delay_str = detail.get('retryDelay', '5s')
+                                    retry_delay = float(delay_str.rstrip('s'))
+                                    break
+                except Exception as parse_e:
+                    logger.debug(f"[get_json_completion] Failed to parse retry delay: {parse_e}")
+                
+                # Add a small safety margin (0.5s) as requested
+                wait_time = retry_delay + 0.5
+                logger.info(f"[get_json_completion] Waiting for {wait_time}s before retry...")
+                await asyncio.sleep(wait_time)
+                raise
+            except Exception as e:
+                logger.error(f"[get_json_completion] LLM call failed: {str(e)}")
+                raise
+
+            if not response or not hasattr(response, 'choices') or not response.choices:
+                raise RuntimeError(f"Invalid LLM response: {response}")
+
+            content = response.choices[0].message.content
+            logger.debug(f"[get_json_completion] Raw content to parse: {content}")
+            
+            try:
+                return json.loads(content)
+            except json.JSONDecodeError:
+                logger.warning("[get_json_completion] Failed to parse JSON directly, attempting to extract from code blocks")
+                if "```json" in content:
+                    json_str = content.split("```json")[1].split("```")[0].strip()
+                    return json.loads(json_str)
+                elif "```" in content:
+                    json_str = content.split("```")[1].split("```")[0].strip()
+                    return json.loads(json_str)
+                else:
+                    raise
+    # [/DEF:LLMClient.get_json_completion:Function]
+
+    # [DEF:LLMClient.analyze_dashboard:Function]
+    # @PURPOSE: Sends dashboard data (screenshot + logs) to LLM for health analysis.
+    # @PRE: screenshot_path exists, logs is a list of strings.
+    # @POST: Returns a structured analysis dictionary (status, summary, issues).
+    # @SIDE_EFFECT: Reads screenshot file and calls external LLM API.
+    async def analyze_dashboard(self, screenshot_path: str, logs: List[str]) -> Dict[str, Any]:
+        with belief_scope("analyze_dashboard"):
+            # Optimize image to reduce token count (US1 / T023)
+            # Gemini/Gemma models have limits on input tokens, and large images contribute significantly.
+            try:
+                with Image.open(screenshot_path) as img:
+                    # Convert to RGB if necessary
+                    if img.mode in ("RGBA", "P"):
+                        img = img.convert("RGB")
+                    
+                    # Resize if too large (max 1024px width while maintaining aspect ratio)
+                    # We reduce width further to 1024px to stay within token limits for long dashboards
+                    max_width = 1024
+                    if img.width > max_width or img.height > 2048:
+                        # Calculate scaling factor to fit within 1024x2048
+                        scale = min(max_width / img.width, 2048 / img.height)
+                        if scale < 1.0:
+                            new_width = int(img.width * scale)
+                            new_height = int(img.height * scale)
+                            img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)
+                            logger.info(f"[analyze_dashboard] Resized image from {img.width}x{img.height} to {new_width}x{new_height}")
+                    
+                    # Compress and convert to base64
+                    buffer = io.BytesIO()
+                    # Lower quality to 60% to further reduce payload size
+                    img.save(buffer, format="JPEG", quality=60, optimize=True)
+                    base_64_image = base64.b64encode(buffer.getvalue()).decode('utf-8')
+                    logger.info(f"[analyze_dashboard] Optimized image size: {len(buffer.getvalue()) / 1024:.2f} KB")
+            except Exception as img_e:
+                logger.warning(f"[analyze_dashboard] Image optimization failed: {img_e}. Using raw image.")
+                with open(screenshot_path, "rb") as image_file:
+                    base_64_image = base64.b64encode(image_file.read()).decode('utf-8')
+
+            log_text = "\n".join(logs)
+            prompt = f"""
+            Analyze the attached dashboard screenshot and the following execution logs for health and visual issues.
+            
+            Logs:
+            {log_text}
+            
+            Provide the analysis in JSON format with the following structure:
+            {{
+                "status": "PASS" | "WARN" | "FAIL",
+                "summary": "Short summary of findings",
+                "issues": [
+                    {{
+                        "severity": "WARN" | "FAIL",
+                        "message": "Description of the issue",
+                        "location": "Optional location info (e.g. chart name)"
+                    }}
+                ]
+            }}
+            """
+            
+            messages = [
+                {
+                    "role": "user",
+                    "content": [
+                        {"type": "text", "text": prompt},
+                        {
+                            "type": "image_url",
+                            "image_url": {
+                                "url": f"data:image/jpeg;base64,{base_64_image}"
+                            }
+                        }
+                    ]
+                }
+            ]
+            
+            try:
+                return await self.get_json_completion(messages)
+            except Exception as e:
+                logger.error(f"[analyze_dashboard] Failed to get analysis: {str(e)}")
+                return {
+                    "status": "FAIL",
+                    "summary": f"Failed to get response from LLM: {str(e)}",
+                    "issues": [{"severity": "FAIL", "message": "LLM provider returned empty or invalid response"}]
+                }
+    # [/DEF:LLMClient.analyze_dashboard:Function]
+# [/DEF:LLMClient:Class]
+
+# [/DEF:backend/src/plugins/llm_analysis/service.py:Module]

backend/src/plugins/mapper.py

@@ -3,6 +3,7 @@
 # @PURPOSE: Implements a plugin for mapping dataset columns using external database connections or Excel files.
 # @LAYER: Plugins
 # @RELATION: Inherits from PluginBase. Uses DatasetMapper from superset_tool.
+# @RELATION: USES -> TaskContext
 # @CONSTRAINT: Must use belief_scope for logging.
 
 # [SECTION: IMPORTS]
@@ -13,6 +14,7 @@ from ..core.logger import logger, belief_scope
 from ..core.database import SessionLocal
 from ..models.connection import ConnectionConfig
 from ..core.utils.dataset_mapper import DatasetMapper
+from ..core.task_manager.context import TaskContext
 # [/SECTION]
 
 # [DEF:MapperPlugin:Class]
@@ -128,19 +130,27 @@ class MapperPlugin(PluginBase):
     # [/DEF:get_schema:Function]
 
     # [DEF:execute:Function]
-    # @PURPOSE: Executes the dataset mapping logic.
+    # @PURPOSE: Executes the dataset mapping logic with TaskContext support.
     # @PARAM: params (Dict[str, Any]) - Mapping parameters.
+    # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.
     # @PRE: Params contain valid 'env', 'dataset_id', and 'source'. params must be a dictionary.
     # @POST: Updates the dataset in Superset.
     # @RETURN: Dict[str, Any] - Execution status.
-    async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
+    async def execute(self, params: Dict[str, Any], context: Optional[TaskContext] = None) -> Dict[str, Any]:
         with belief_scope("execute"):
             env_name = params.get("env")
             dataset_id = params.get("dataset_id")
             source = params.get("source")
             
+            # Use TaskContext logger if available, otherwise fall back to app logger
+            log = context.logger if context else logger
+            
+            # Create sub-loggers for different components
+            superset_log = log.with_source("superset_api") if context else log
+            db_log = log.with_source("postgres") if context else log
+            
             if not env_name or dataset_id is None or not source:
-                logger.error("[MapperPlugin.execute][State] Missing required parameters.")
+                log.error("Missing required parameters: env, dataset_id, source")
                 raise ValueError("Missing required parameters: env, dataset_id, source")
 
             # Get config and initialize client
@@ -148,7 +158,7 @@ class MapperPlugin(PluginBase):
             config_manager = get_config_manager()
             env_config = config_manager.get_environment(env_name)
             if not env_config:
-                logger.error(f"[MapperPlugin.execute][State] Environment '{env_name}' not found.")
+                log.error(f"Environment '{env_name}' not found in configuration.")
                 raise ValueError(f"Environment '{env_name}' not found in configuration.")
 
             client = SupersetClient(env_config)
@@ -158,7 +168,7 @@ class MapperPlugin(PluginBase):
             if source == "postgres":
                 connection_id = params.get("connection_id")
                 if not connection_id:
-                    logger.error("[MapperPlugin.execute][State] connection_id is required for postgres source.")
+                    log.error("connection_id is required for postgres source.")
                     raise ValueError("connection_id is required for postgres source.")
                 
                 # Load connection from DB
@@ -166,7 +176,7 @@ class MapperPlugin(PluginBase):
                 try:
                     conn_config = db.query(ConnectionConfig).filter(ConnectionConfig.id == connection_id).first()
                     if not conn_config:
-                        logger.error(f"[MapperPlugin.execute][State] Connection {connection_id} not found.")
+                        db_log.error(f"Connection {connection_id} not found.")
                         raise ValueError(f"Connection {connection_id} not found.")
                     
                     postgres_config = {
@@ -176,10 +186,11 @@ class MapperPlugin(PluginBase):
                         'host': conn_config.host,
                         'port': str(conn_config.port) if conn_config.port else '5432'
                     }
+                    db_log.debug(f"Loaded connection config for {conn_config.host}:{conn_config.port}/{conn_config.database}")
                 finally:
                     db.close()
 
-            logger.info(f"[MapperPlugin.execute][Action] Starting mapping for dataset {dataset_id} in {env_name}")
+            log.info(f"Starting mapping for dataset {dataset_id} in {env_name}")
             
             mapper = DatasetMapper()
             
@@ -193,10 +204,10 @@ class MapperPlugin(PluginBase):
                     table_name=params.get("table_name"),
                     table_schema=params.get("table_schema") or "public"
                 )
-                logger.info(f"[MapperPlugin.execute][Success] Mapping completed for dataset {dataset_id}")
+                superset_log.info(f"Mapping completed for dataset {dataset_id}")
                 return {"status": "success", "dataset_id": dataset_id}
             except Exception as e:
-                logger.error(f"[MapperPlugin.execute][Failure] Mapping failed: {e}")
+                log.error(f"Mapping failed: {e}")
                 raise
     # [/DEF:execute:Function]
 

backend/src/plugins/migration.py

@@ -5,20 +5,20 @@
 # @RELATION: IMPLEMENTS -> PluginBase
 # @RELATION: DEPENDS_ON -> superset_tool.client
 # @RELATION: DEPENDS_ON -> superset_tool.utils
+# @RELATION: USES -> TaskContext
 
-from typing import Dict, Any, List
+from typing import Dict, Any, Optional
-from pathlib import Path
-import zipfile
 import re
 
 from ..core.plugin_base import PluginBase
-from ..core.logger import belief_scope
+from ..core.logger import belief_scope, logger as app_logger
 from ..core.superset_client import SupersetClient
-from ..core.utils.fileio import create_temp_file, update_yamls, create_dashboard_export
+from ..core.utils.fileio import create_temp_file
 from ..dependencies import get_config_manager
 from ..core.migration_engine import MigrationEngine
 from ..core.database import SessionLocal
 from ..models.mapping import DatabaseMapping, Environment
+from ..core.task_manager.context import TaskContext
 
 # [DEF:MigrationPlugin:Class]
 # @PURPOSE: Implementation of the migration plugin logic.
@@ -132,11 +132,12 @@ class MigrationPlugin(PluginBase):
     # [/DEF:get_schema:Function]
 
     # [DEF:execute:Function]
-    # @PURPOSE: Executes the dashboard migration logic.
+    # @PURPOSE: Executes the dashboard migration logic with TaskContext support.
     # @PARAM: params (Dict[str, Any]) - Migration parameters.
+    # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.
     # @PRE: Source and target environments must be configured.
     # @POST: Selected dashboards are migrated.
-    async def execute(self, params: Dict[str, Any]):
+    async def execute(self, params: Dict[str, Any], context: Optional[TaskContext] = None):
         with belief_scope("MigrationPlugin.execute"):
             source_env_id = params.get("source_env_id")
             target_env_id = params.get("target_env_id")
@@ -148,8 +149,8 @@ class MigrationPlugin(PluginBase):
         dashboard_regex = params.get("dashboard_regex")
         
         replace_db_config = params.get("replace_db_config", False)
-        from_db_id = params.get("from_db_id")
+        params.get("from_db_id")
-        to_db_id = params.get("to_db_id")
+        params.get("to_db_id")
         
         # [DEF:MigrationPlugin.execute:Action]
         # @PURPOSE: Execute the migration logic with proper task logging.
@@ -157,74 +158,15 @@ class MigrationPlugin(PluginBase):
         from ..dependencies import get_task_manager
         tm = get_task_manager()
 
-        class TaskLoggerProxy:
+        # Use TaskContext logger if available, otherwise fall back to app_logger
-            # [DEF:__init__:Function]
+        log = context.logger if context else app_logger
-            # @PURPOSE: Initializes the proxy logger.
+        
-            # @PRE:     None.
+        # Create sub-loggers for different components
-            # @POST:    Instance is initialized.
+        superset_log = log.with_source("superset_api") if context else log
-            def __init__(self):
+        migration_log = log.with_source("migration") if context else log
-                with belief_scope("__init__"):
+        
-                    # Initialize parent with dummy values since we override methods
+        log.info("Starting migration task.")
-                    pass
+        log.debug(f"Params: {params}")
-            # [/DEF:__init__:Function]
-                
-            # [DEF:debug:Function]
-            # @PURPOSE: Logs a debug message to the task manager.
-            # @PRE:     msg is a string.
-            # @POST:    Log is added to task manager if task_id exists.
-            def debug(self, msg, *args, extra=None, **kwargs):
-                with belief_scope("debug"):
-                    if task_id: tm._add_log(task_id, "DEBUG", msg, extra or {})
-            # [/DEF:debug:Function]
-
-            # [DEF:info:Function]
-            # @PURPOSE: Logs an info message to the task manager.
-            # @PRE:     msg is a string.
-            # @POST:    Log is added to task manager if task_id exists.
-            def info(self, msg, *args, extra=None, **kwargs):
-                with belief_scope("info"):
-                    if task_id: tm._add_log(task_id, "INFO", msg, extra or {})
-            # [/DEF:info:Function]
-
-            # [DEF:warning:Function]
-            # @PURPOSE: Logs a warning message to the task manager.
-            # @PRE:     msg is a string.
-            # @POST:    Log is added to task manager if task_id exists.
-            def warning(self, msg, *args, extra=None, **kwargs):
-                with belief_scope("warning"):
-                    if task_id: tm._add_log(task_id, "WARNING", msg, extra or {})
-            # [/DEF:warning:Function]
-
-            # [DEF:error:Function]
-            # @PURPOSE: Logs an error message to the task manager.
-            # @PRE:     msg is a string.
-            # @POST:    Log is added to task manager if task_id exists.
-            def error(self, msg, *args, extra=None, **kwargs):
-                with belief_scope("error"):
-                    if task_id: tm._add_log(task_id, "ERROR", msg, extra or {})
-            # [/DEF:error:Function]
-
-            # [DEF:critical:Function]
-            # @PURPOSE: Logs a critical message to the task manager.
-            # @PRE:     msg is a string.
-            # @POST:    Log is added to task manager if task_id exists.
-            def critical(self, msg, *args, extra=None, **kwargs):
-                with belief_scope("critical"):
-                    if task_id: tm._add_log(task_id, "ERROR", msg, extra or {})
-            # [/DEF:critical:Function]
-
-            # [DEF:exception:Function]
-            # @PURPOSE: Logs an exception message to the task manager.
-            # @PRE:     msg is a string.
-            # @POST:    Log is added to task manager if task_id exists.
-            def exception(self, msg, *args, **kwargs):
-                with belief_scope("exception"):
-                    if task_id: tm._add_log(task_id, "ERROR", msg, {"exception": True})
-            # [/DEF:exception:Function]
-
-        logger = TaskLoggerProxy()
-        logger.info(f"[MigrationPlugin][Entry] Starting migration task.")
-        logger.info(f"[MigrationPlugin][Action] Params: {params}")
 
         try:
             with belief_scope("execute"):
@@ -251,7 +193,7 @@ class MigrationPlugin(PluginBase):
             from_env_name = src_env.name
             to_env_name = tgt_env.name
 
-            logger.info(f"[MigrationPlugin][State] Resolved environments: {from_env_name} -> {to_env_name}")
+            log.info(f"Resolved environments: {from_env_name} -> {to_env_name}")
 
             from_c = SupersetClient(src_env)
             to_c = SupersetClient(tgt_env)
@@ -270,11 +212,11 @@ class MigrationPlugin(PluginBase):
                     d for d in all_dashboards if re.search(regex_str, d["dashboard_title"], re.IGNORECASE)
                 ]
             else:
-                logger.warning("[MigrationPlugin][State] No selection criteria provided (selected_ids or dashboard_regex).")
+                log.warning("No selection criteria provided (selected_ids or dashboard_regex).")
                 return
 
             if not dashboards_to_migrate:
-                logger.warning("[MigrationPlugin][State] No dashboards found matching criteria.")
+                log.warning("No dashboards found matching criteria.")
                 return
 
             # Fetch mappings from database
@@ -292,7 +234,7 @@ class MigrationPlugin(PluginBase):
                             DatabaseMapping.target_env_id == tgt_env.id
                         ).all()
                         db_mapping = {m.source_db_uuid: m.target_db_uuid for m in mappings}
-                        logger.info(f"[MigrationPlugin][State] Loaded {len(db_mapping)} database mappings.")
+                        log.info(f"Loaded {len(db_mapping)} database mappings.")
                 finally:
                     db.close()
 
@@ -311,7 +253,7 @@ class MigrationPlugin(PluginBase):
                             if not success and replace_db_config:
                                 # Signal missing mapping and wait (only if we care about mappings)
                                 if task_id:
-                                    logger.info(f"[MigrationPlugin][Action] Pausing for missing mapping in task {task_id}")
+                                    log.info(f"Pausing for missing mapping in task {task_id}")
                                     # In a real scenario, we'd pass the missing DB info to the frontend
                                     # For this task, we'll just simulate the wait
                                     await tm.wait_for_resolution(task_id)
@@ -333,9 +275,9 @@ class MigrationPlugin(PluginBase):
                             if success:
                                 to_c.import_dashboard(file_name=tmp_new_zip, dash_id=dash_id, dash_slug=dash_slug)
                             else:
-                                logger.error(f"[MigrationPlugin][Failure] Failed to transform ZIP for dashboard {title}")
+                                migration_log.error(f"Failed to transform ZIP for dashboard {title}")
                     
-                    logger.info(f"[MigrationPlugin][Success] Dashboard {title} imported.")
+                    superset_log.info(f"Dashboard {title} imported.")
                 except Exception as exc:
                     # Check for password error
                     error_msg = str(exc)
@@ -357,7 +299,7 @@ class MigrationPlugin(PluginBase):
                              if match_alt:
                                  db_name = match_alt.group(1)
 
-                        logger.warning(f"[MigrationPlugin][Action] Detected missing password for database: {db_name}")
+                        app_logger.warning(f"[MigrationPlugin][Action] Detected missing password for database: {db_name}")
                         
                         if task_id:
                             input_request = {
@@ -376,19 +318,19 @@ class MigrationPlugin(PluginBase):
                             
                             # Retry import with password
                             if passwords:
-                                logger.info(f"[MigrationPlugin][Action] Retrying import for {title} with provided passwords.")
+                                app_logger.info(f"[MigrationPlugin][Action] Retrying import for {title} with provided passwords.")
                                 to_c.import_dashboard(file_name=tmp_new_zip, dash_id=dash_id, dash_slug=dash_slug, passwords=passwords)
-                                logger.info(f"[MigrationPlugin][Success] Dashboard {title} imported after password injection.")
+                                app_logger.info(f"[MigrationPlugin][Success] Dashboard {title} imported after password injection.")
                                 # Clear passwords from params after use for security
                                 if "passwords" in task.params:
                                     del task.params["passwords"]
                                 continue
 
-                    logger.error(f"[MigrationPlugin][Failure] Failed to migrate dashboard {title}: {exc}", exc_info=True)
+                    app_logger.error(f"[MigrationPlugin][Failure] Failed to migrate dashboard {title}: {exc}", exc_info=True)
 
-                logger.info("[MigrationPlugin][Exit] Migration finished.")
+                app_logger.info("[MigrationPlugin][Exit] Migration finished.")
         except Exception as e:
-            logger.critical(f"[MigrationPlugin][Failure] Fatal error during migration: {e}", exc_info=True)
+            app_logger.critical(f"[MigrationPlugin][Failure] Fatal error during migration: {e}", exc_info=True)
             raise e
         # [/DEF:MigrationPlugin.execute:Action]
     # [/DEF:execute:Function]

backend/src/plugins/search.py

@@ -3,14 +3,16 @@
 # @PURPOSE: Implements a plugin for searching text patterns across all datasets in a specific Superset environment.
 # @LAYER: Plugins
 # @RELATION: Inherits from PluginBase. Uses SupersetClient from core.
+# @RELATION: USES -> TaskContext
 # @CONSTRAINT: Must use belief_scope for logging.
 
 # [SECTION: IMPORTS]
 import re
-from typing import Dict, Any, List, Optional
+from typing import Dict, Any, Optional
 from ..core.plugin_base import PluginBase
 from ..core.superset_client import SupersetClient
 from ..core.logger import logger, belief_scope
+from ..core.task_manager.context import TaskContext
 # [/SECTION]
 
 # [DEF:SearchPlugin:Class]
@@ -99,18 +101,26 @@ class SearchPlugin(PluginBase):
     # [/DEF:get_schema:Function]
 
     # [DEF:execute:Function]
-    # @PURPOSE: Executes the dataset search logic.
+    # @PURPOSE: Executes the dataset search logic with TaskContext support.
     # @PARAM: params (Dict[str, Any]) - Search parameters.
+    # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.
     # @PRE: Params contain valid 'env' and 'query'.
     # @POST: Returns a dictionary with count and results list.
     # @RETURN: Dict[str, Any] - Search results.
-    async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
+    async def execute(self, params: Dict[str, Any], context: Optional[TaskContext] = None) -> Dict[str, Any]:
         with belief_scope("SearchPlugin.execute", f"params={params}"):
             env_name = params.get("env")
             search_query = params.get("query")
             
+            # Use TaskContext logger if available, otherwise fall back to app logger
+            log = context.logger if context else logger
+            
+            # Create sub-loggers for different components
+            log.with_source("superset_api") if context else log
+            search_log = log.with_source("search") if context else log
+            
             if not env_name or not search_query:
-                logger.error("[SearchPlugin.execute][State] Missing required parameters.")
+                log.error("Missing required parameters: env, query")
                 raise ValueError("Missing required parameters: env, query")
 
             # Get config and initialize client
@@ -118,20 +128,20 @@ class SearchPlugin(PluginBase):
             config_manager = get_config_manager()
             env_config = config_manager.get_environment(env_name)
             if not env_config:
-                logger.error(f"[SearchPlugin.execute][State] Environment '{env_name}' not found.")
+                log.error(f"Environment '{env_name}' not found in configuration.")
                 raise ValueError(f"Environment '{env_name}' not found in configuration.")
 
             client = SupersetClient(env_config)
             client.authenticate()
 
-            logger.info(f"[SearchPlugin.execute][Action] Searching for pattern: '{search_query}' in environment: {env_name}")
+            log.info(f"Searching for pattern: '{search_query}' in environment: {env_name}")
             
             try:
                 # Ported logic from search_script.py
                 _, datasets = client.get_datasets(query={"columns": ["id", "table_name", "sql", "database", "columns"]})
 
                 if not datasets:
-                    logger.warning("[SearchPlugin.execute][State] No datasets found.")
+                    search_log.warning("No datasets found.")
                     return {"count": 0, "results": []}
 
                 pattern = re.compile(search_query, re.IGNORECASE)
@@ -155,17 +165,17 @@ class SearchPlugin(PluginBase):
                                 "full_value": value_str
                             })
 
-                logger.info(f"[SearchPlugin.execute][Success] Found matches in {len(results)} locations.")
+                search_log.info(f"Found matches in {len(results)} locations.")
                 return {
                     "count": len(results),
                     "results": results
                 }
 
             except re.error as e:
-                logger.error(f"[SearchPlugin.execute][Failure] Invalid regex pattern: {e}")
+                search_log.error(f"Invalid regex pattern: {e}")
                 raise ValueError(f"Invalid regex pattern: {e}")
             except Exception as e:
-                logger.error(f"[SearchPlugin.execute][Failure] Error during search: {e}")
+                log.error(f"Error during search: {e}")
                 raise
     # [/DEF:execute:Function]
 

backend/src/plugins/storage/plugin.py

@@ -5,6 +5,7 @@
 # @LAYER:     App
 # @RELATION:  IMPLEMENTS -> PluginBase
 # @RELATION:  DEPENDS_ON -> backend.src.models.storage
+# @RELATION:  USES -> TaskContext
 #
 # @INVARIANT: All file operations must be restricted to the configured storage root.
 
@@ -18,8 +19,9 @@ from fastapi import UploadFile
 
 from ...core.plugin_base import PluginBase
 from ...core.logger import belief_scope, logger
-from ...models.storage import StoredFile, FileCategory, StorageConfig
+from ...models.storage import StoredFile, FileCategory
 from ...dependencies import get_config_manager
+from ...core.task_manager.context import TaskContext
 # [/SECTION]
 
 # [DEF:StoragePlugin:Class]
@@ -112,12 +114,21 @@ class StoragePlugin(PluginBase):
     # [/DEF:get_schema:Function]
 
     # [DEF:execute:Function]
-    # @PURPOSE: Executes storage-related tasks (placeholder for PluginBase compliance).
+    # @PURPOSE: Executes storage-related tasks with TaskContext support.
+    # @PARAM: params (Dict[str, Any]) - Storage parameters.
+    # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.
     # @PRE: params must match the plugin schema.
     # @POST: Task is executed and logged.
-    async def execute(self, params: Dict[str, Any]):
+    async def execute(self, params: Dict[str, Any], context: Optional[TaskContext] = None):
         with belief_scope("StoragePlugin:execute"):
-            logger.info(f"[StoragePlugin][Action] Executing with params: {params}")
+            # Use TaskContext logger if available, otherwise fall back to app logger
+            log = context.logger if context else logger
+            
+            # Create sub-loggers for different components
+            storage_log = log.with_source("storage") if context else log
+            log.with_source("filesystem") if context else log
+            
+            storage_log.info(f"Executing with params: {params}")
     # [/DEF:execute:Function]
 
     # [DEF:get_storage_root:Function]

backend/src/schemas/auth.py

@@ -10,7 +10,7 @@
 
 # [SECTION: IMPORTS]
 from typing import List, Optional
-from pydantic import BaseModel, EmailStr, Field
+from pydantic import BaseModel, EmailStr
 from datetime import datetime
 # [/SECTION]
 

backend/src/scripts/create_admin.py

@@ -1,5 +1,6 @@
 # [DEF:backend.src.scripts.create_admin:Module]
 #
+# @TIER:      STANDARD
 # @SEMANTICS: admin, setup, user, auth, cli
 # @PURPOSE:   CLI tool for creating the initial admin user.
 # @LAYER:     Scripts
@@ -19,7 +20,7 @@ sys.path.append(str(Path(__file__).parent.parent.parent))
 
 from src.core.database import AuthSessionLocal, init_db
 from src.core.auth.security import get_password_hash
-from src.models.auth import User, Role, Permission
+from src.models.auth import User, Role
 from src.core.logger import logger, belief_scope
 # [/SECTION]
 

backend/src/scripts/init_auth_db.py

@@ -9,13 +9,12 @@
 
 # [SECTION: IMPORTS]
 import sys
-import os
 from pathlib import Path
 
 # Add src to path
 sys.path.append(str(Path(__file__).parent.parent.parent))
 
-from src.core.database import init_db, auth_engine
+from src.core.database import init_db
 from src.core.logger import logger, belief_scope
 from src.scripts.seed_permissions import seed_permissions
 # [/SECTION]

backend/src/services/__init__.py

@@ -0,0 +1,18 @@
+# [DEF:backend.src.services:Module]
+# @TIER: STANDARD
+# @SEMANTICS: services, package, init
+# @PURPOSE: Package initialization for services module
+# @LAYER: Core
+# @RELATION: EXPORTS -> resource_service, mapping_service
+# @NOTE: Only export services that don't cause circular imports
+# @NOTE: GitService, AuthService, LLMProviderService have circular import issues - import directly when needed
+
+# Only export services that don't cause circular imports
+from .mapping_service import MappingService
+from .resource_service import ResourceService
+
+__all__ = [
+    'MappingService',
+    'ResourceService',
+]
+# [/DEF:backend.src.services:Module]

backend/src/services/auth_service.py

@@ -10,11 +10,11 @@
 # @INVARIANT: Authentication must verify both credentials and account status.
 
 # [SECTION: IMPORTS]
-from typing import Optional, Dict, Any, List
+from typing import Dict, Any
 from sqlalchemy.orm import Session
 from ..models.auth import User, Role
 from ..core.auth.repository import AuthRepository
-from ..core.auth.security import verify_password, get_password_hash
+from ..core.auth.security import verify_password
 from ..core.auth.jwt import create_access_token
 from ..core.logger import belief_scope
 # [/SECTION]

backend/src/services/git_service.py

@@ -10,11 +10,10 @@
 # @INVARIANT: All Git operations must be performed on a valid local directory.
 
 import os
-import shutil
 import httpx
-from git import Repo, RemoteProgress
+from git import Repo
 from fastapi import HTTPException
-from typing import List, Optional
+from typing import List
 from datetime import datetime
 from src.core.logger import logger, belief_scope
 from src.models.git import GitProvider
@@ -167,7 +166,7 @@ class GitService:
             
             # Handle empty repository case (no commits)
             if not repo.heads and not repo.remotes:
-                logger.warning(f"[create_branch][Action] Repository is empty. Creating initial commit to enable branching.")
+                logger.warning("[create_branch][Action] Repository is empty. Creating initial commit to enable branching.")
                 readme_path = os.path.join(repo.working_dir, "README.md")
                 if not os.path.exists(readme_path):
                     with open(readme_path, "w") as f:
@@ -178,7 +177,7 @@ class GitService:
             # Verify source branch exists
             try:
                 repo.commit(from_branch)
-            except:
+            except Exception:
                 logger.warning(f"[create_branch][Action] Source branch {from_branch} not found, using HEAD")
                 from_branch = repo.head
 

backend/src/services/llm_provider.py

@@ -0,0 +1,169 @@
+# [DEF:backend.src.services.llm_provider:Module]
+# @TIER: STANDARD
+# @SEMANTICS: service, llm, provider, encryption
+# @PURPOSE: Service for managing LLM provider configurations with encrypted API keys.
+# @LAYER: Domain
+# @RELATION: DEPENDS_ON -> backend.src.core.database
+# @RELATION: DEPENDS_ON -> backend.src.models.llm
+
+from typing import List, Optional
+from sqlalchemy.orm import Session
+from ..models.llm import LLMProvider
+from ..plugins.llm_analysis.models import LLMProviderConfig
+from ..core.logger import belief_scope, logger
+from cryptography.fernet import Fernet
+import os
+
+# [DEF:EncryptionManager:Class]
+# @TIER: CRITICAL
+# @PURPOSE: Handles encryption and decryption of sensitive data like API keys.
+# @INVARIANT: Uses a secret key from environment or a default one (fallback only for dev).
+class EncryptionManager:
+    # [DEF:EncryptionManager.__init__:Function]
+    # @PURPOSE: Initialize the encryption manager with a Fernet key.
+    # @PRE: ENCRYPTION_KEY env var must be set or use default dev key.
+    # @POST: Fernet instance ready for encryption/decryption.
+    def __init__(self):
+        self.key = os.getenv("ENCRYPTION_KEY", "ZcytYzi0iHIl4Ttr-GdAEk117aGRogkGvN3wiTxrPpE=").encode()
+        self.fernet = Fernet(self.key)
+    # [/DEF:EncryptionManager.__init__:Function]
+
+    # [DEF:EncryptionManager.encrypt:Function]
+    # @PURPOSE: Encrypt a plaintext string.
+    # @PRE: data must be a non-empty string.
+    # @POST: Returns encrypted string.
+    def encrypt(self, data: str) -> str:
+        return self.fernet.encrypt(data.encode()).decode()
+    # [/DEF:EncryptionManager.encrypt:Function]
+
+    # [DEF:EncryptionManager.decrypt:Function]
+    # @PURPOSE: Decrypt an encrypted string.
+    # @PRE: encrypted_data must be a valid Fernet-encrypted string.
+    # @POST: Returns original plaintext string.
+    def decrypt(self, encrypted_data: str) -> str:
+        return self.fernet.decrypt(encrypted_data.encode()).decode()
+    # [/DEF:EncryptionManager.decrypt:Function]
+# [/DEF:EncryptionManager:Class]
+
+# [DEF:LLMProviderService:Class]
+# @TIER: STANDARD
+# @PURPOSE: Service to manage LLM provider lifecycle.
+class LLMProviderService:
+    # [DEF:LLMProviderService.__init__:Function]
+    # @PURPOSE: Initialize the service with database session.
+    # @PRE: db must be a valid SQLAlchemy Session.
+    # @POST: Service ready for provider operations.
+    def __init__(self, db: Session):
+        self.db = db
+        self.encryption = EncryptionManager()
+    # [/DEF:LLMProviderService.__init__:Function]
+
+    # [DEF:get_all_providers:Function]
+    # @TIER: STANDARD
+    # @PURPOSE: Returns all configured LLM providers.
+    # @PRE: Database connection must be active.
+    # @POST: Returns list of all LLMProvider records.
+    def get_all_providers(self) -> List[LLMProvider]:
+        with belief_scope("get_all_providers"):
+            return self.db.query(LLMProvider).all()
+    # [/DEF:get_all_providers:Function]
+
+    # [DEF:get_provider:Function]
+    # @TIER: STANDARD
+    # @PURPOSE: Returns a single LLM provider by ID.
+    # @PRE: provider_id must be a valid string.
+    # @POST: Returns LLMProvider or None if not found.
+    def get_provider(self, provider_id: str) -> Optional[LLMProvider]:
+        with belief_scope("get_provider"):
+            return self.db.query(LLMProvider).filter(LLMProvider.id == provider_id).first()
+    # [/DEF:get_provider:Function]
+
+    # [DEF:create_provider:Function]
+    # @TIER: STANDARD
+    # @PURPOSE: Creates a new LLM provider with encrypted API key.
+    # @PRE: config must contain valid provider configuration.
+    # @POST: New provider created and persisted to database.
+    def create_provider(self, config: LLMProviderConfig) -> LLMProvider:
+        with belief_scope("create_provider"):
+            encrypted_key = self.encryption.encrypt(config.api_key)
+            db_provider = LLMProvider(
+                provider_type=config.provider_type.value,
+                name=config.name,
+                base_url=config.base_url,
+                api_key=encrypted_key,
+                default_model=config.default_model,
+                is_active=config.is_active
+            )
+            self.db.add(db_provider)
+            self.db.commit()
+            self.db.refresh(db_provider)
+            return db_provider
+    # [/DEF:create_provider:Function]
+
+    # [DEF:update_provider:Function]
+    # @TIER: STANDARD
+    # @PURPOSE: Updates an existing LLM provider.
+    # @PRE: provider_id must exist, config must be valid.
+    # @POST: Provider updated and persisted to database.
+    def update_provider(self, provider_id: str, config: LLMProviderConfig) -> Optional[LLMProvider]:
+        with belief_scope("update_provider"):
+            db_provider = self.get_provider(provider_id)
+            if not db_provider:
+                return None
+            
+            db_provider.provider_type = config.provider_type.value
+            db_provider.name = config.name
+            db_provider.base_url = config.base_url
+            # Only update API key if provided (not None and not empty)
+            if config.api_key is not None and config.api_key != "":
+                db_provider.api_key = self.encryption.encrypt(config.api_key)
+            db_provider.default_model = config.default_model
+            db_provider.is_active = config.is_active
+            
+            self.db.commit()
+            self.db.refresh(db_provider)
+            return db_provider
+    # [/DEF:update_provider:Function]
+
+    # [DEF:delete_provider:Function]
+    # @TIER: STANDARD
+    # @PURPOSE: Deletes an LLM provider.
+    # @PRE: provider_id must exist.
+    # @POST: Provider removed from database.
+    def delete_provider(self, provider_id: str) -> bool:
+        with belief_scope("delete_provider"):
+            db_provider = self.get_provider(provider_id)
+            if not db_provider:
+                return False
+            self.db.delete(db_provider)
+            self.db.commit()
+            return True
+    # [/DEF:delete_provider:Function]
+
+    # [DEF:get_decrypted_api_key:Function]
+    # @TIER: STANDARD
+    # @PURPOSE: Returns the decrypted API key for a provider.
+    # @PRE: provider_id must exist with valid encrypted key.
+    # @POST: Returns decrypted API key or None on failure.
+    def get_decrypted_api_key(self, provider_id: str) -> Optional[str]:
+        with belief_scope("get_decrypted_api_key"):
+            db_provider = self.get_provider(provider_id)
+            if not db_provider:
+                logger.warning(f"[get_decrypted_api_key] Provider {provider_id} not found in database")
+                return None
+            
+            logger.info(f"[get_decrypted_api_key] Provider found: {db_provider.id}")
+            logger.info(f"[get_decrypted_api_key] Encrypted API key length: {len(db_provider.api_key) if db_provider.api_key else 0}")
+            
+            try:
+                decrypted_key = self.encryption.decrypt(db_provider.api_key)
+                logger.info(f"[get_decrypted_api_key] Decryption successful, key length: {len(decrypted_key) if decrypted_key else 0}")
+                return decrypted_key
+            except Exception as e:
+                logger.error(f"[get_decrypted_api_key] Decryption failed: {str(e)}")
+                return None
+    # [/DEF:get_decrypted_api_key:Function]
+
+# [/DEF:LLMProviderService:Class]
+
+# [/DEF:backend.src.services.llm_provider:Module]

backend/src/services/resource_service.py

@@ -0,0 +1,251 @@
+# [DEF:backend.src.services.resource_service:Module]
+# @TIER: STANDARD
+# @SEMANTICS: service, resources, dashboards, datasets, tasks, git
+# @PURPOSE:   Shared service for fetching resource data with Git status and task status
+# @LAYER:     Service
+# @RELATION:  DEPENDS_ON -> backend.src.core.superset_client
+# @RELATION:  DEPENDS_ON -> backend.src.core.task_manager
+# @RELATION:  DEPENDS_ON -> backend.src.services.git_service
+# @INVARIANT: All resources include metadata about their current state
+
+# [SECTION: IMPORTS]
+from typing import List, Dict, Optional, Any
+from ..core.superset_client import SupersetClient
+from ..core.task_manager.models import Task
+from ..services.git_service import GitService
+from ..core.logger import logger, belief_scope
+# [/SECTION]
+
+# [DEF:ResourceService:Class]
+# @PURPOSE: Provides centralized access to resource data with enhanced metadata
+class ResourceService:
+    
+    # [DEF:__init__:Function]
+    # @PURPOSE: Initialize the resource service with dependencies
+    # @PRE: None
+    # @POST: ResourceService is ready to fetch resources
+    def __init__(self):
+        with belief_scope("ResourceService.__init__"):
+            self.git_service = GitService()
+            logger.info("[ResourceService][Action] Initialized ResourceService")
+    # [/DEF:__init__:Function]
+    
+    # [DEF:get_dashboards_with_status:Function]
+    # @PURPOSE: Fetch dashboards from environment with Git status and last task status
+    # @PRE: env is a valid Environment object
+    # @POST: Returns list of dashboards with enhanced metadata
+    # @PARAM: env (Environment) - The environment to fetch from
+    # @PARAM: tasks (List[Task]) - List of tasks to check for status
+    # @RETURN: List[Dict] - Dashboards with git_status and last_task fields
+    # @RELATION: CALLS -> SupersetClient.get_dashboards_summary
+    # @RELATION: CALLS -> self._get_git_status_for_dashboard
+    # @RELATION: CALLS -> self._get_last_task_for_resource
+    async def get_dashboards_with_status(
+        self, 
+        env: Any, 
+        tasks: Optional[List[Task]] = None
+    ) -> List[Dict[str, Any]]:
+        with belief_scope("get_dashboards_with_status", f"env={env.id}"):
+            client = SupersetClient(env)
+            dashboards = client.get_dashboards_summary()
+            
+            # Enhance each dashboard with Git status and task status
+            result = []
+            for dashboard in dashboards:
+                # dashboard is already a dict, no need to call .dict()
+                dashboard_dict = dashboard
+                dashboard_id = dashboard_dict.get('id')
+                
+                # Get Git status if repo exists
+                git_status = self._get_git_status_for_dashboard(dashboard_id)
+                dashboard_dict['git_status'] = git_status
+                
+                # Get last task status
+                last_task = self._get_last_task_for_resource(
+                    f"dashboard-{dashboard_id}", 
+                    tasks
+                )
+                dashboard_dict['last_task'] = last_task
+                
+                result.append(dashboard_dict)
+            
+            logger.info(f"[ResourceService][Coherence:OK] Fetched {len(result)} dashboards with status")
+            return result
+    # [/DEF:get_dashboards_with_status:Function]
+    
+    # [DEF:get_datasets_with_status:Function]
+    # @PURPOSE: Fetch datasets from environment with mapping progress and last task status
+    # @PRE: env is a valid Environment object
+    # @POST: Returns list of datasets with enhanced metadata
+    # @PARAM: env (Environment) - The environment to fetch from
+    # @PARAM: tasks (List[Task]) - List of tasks to check for status
+    # @RETURN: List[Dict] - Datasets with mapped_fields and last_task fields
+    # @RELATION: CALLS -> SupersetClient.get_datasets_summary
+    # @RELATION: CALLS -> self._get_last_task_for_resource
+    async def get_datasets_with_status(
+        self, 
+        env: Any, 
+        tasks: Optional[List[Task]] = None
+    ) -> List[Dict[str, Any]]:
+        with belief_scope("get_datasets_with_status", f"env={env.id}"):
+            client = SupersetClient(env)
+            datasets = client.get_datasets_summary()
+            
+            # Enhance each dataset with task status
+            result = []
+            for dataset in datasets:
+                # dataset is already a dict, no need to call .dict()
+                dataset_dict = dataset
+                dataset_id = dataset_dict.get('id')
+                
+                # Get last task status
+                last_task = self._get_last_task_for_resource(
+                    f"dataset-{dataset_id}", 
+                    tasks
+                )
+                dataset_dict['last_task'] = last_task
+                
+                result.append(dataset_dict)
+            
+            logger.info(f"[ResourceService][Coherence:OK] Fetched {len(result)} datasets with status")
+            return result
+    # [/DEF:get_datasets_with_status:Function]
+    
+    # [DEF:get_activity_summary:Function]
+    # @PURPOSE: Get summary of active and recent tasks for the activity indicator
+    # @PRE: tasks is a list of Task objects
+    # @POST: Returns summary with active_count and recent_tasks
+    # @PARAM: tasks (List[Task]) - List of tasks to summarize
+    # @RETURN: Dict - Activity summary
+    def get_activity_summary(self, tasks: List[Task]) -> Dict[str, Any]:
+        with belief_scope("get_activity_summary"):
+            # Count active (RUNNING, WAITING_INPUT) tasks
+            active_tasks = [
+                t for t in tasks 
+                if t.status in ['RUNNING', 'WAITING_INPUT']
+            ]
+            
+            # Get recent tasks (last 5)
+            recent_tasks = sorted(
+                tasks, 
+                key=lambda t: t.created_at, 
+                reverse=True
+            )[:5]
+            
+            # Format recent tasks for frontend
+            recent_tasks_formatted = []
+            for task in recent_tasks:
+                resource_name = self._extract_resource_name_from_task(task)
+                recent_tasks_formatted.append({
+                    'task_id': str(task.id),
+                    'resource_name': resource_name,
+                    'resource_type': self._extract_resource_type_from_task(task),
+                    'status': task.status,
+                    'started_at': task.created_at.isoformat() if task.created_at else None
+                })
+            
+            return {
+                'active_count': len(active_tasks),
+                'recent_tasks': recent_tasks_formatted
+            }
+    # [/DEF:get_activity_summary:Function]
+    
+    # [DEF:_get_git_status_for_dashboard:Function]
+    # @PURPOSE: Get Git sync status for a dashboard
+    # @PRE: dashboard_id is a valid integer
+    # @POST: Returns git status or None if no repo exists
+    # @PARAM: dashboard_id (int) - The dashboard ID
+    # @RETURN: Optional[Dict] - Git status with branch and sync_status
+    # @RELATION: CALLS -> GitService.get_repo
+    def _get_git_status_for_dashboard(self, dashboard_id: int) -> Optional[Dict[str, Any]]:
+        try:
+            repo = self.git_service.get_repo(dashboard_id)
+            if not repo:
+                return None
+            
+            # Check if there are uncommitted changes
+            try:
+                # Get current branch
+                branch = repo.active_branch.name
+                
+                # Check for uncommitted changes
+                is_dirty = repo.is_dirty()
+                
+                # Check for unpushed commits
+                unpushed = len(list(repo.iter_commits(f'{branch}@{{u}}..{branch}'))) if '@{u}' in str(repo.refs) else 0
+                
+                if is_dirty or unpushed > 0:
+                    sync_status = 'DIFF'
+                else:
+                    sync_status = 'OK'
+                
+                return {
+                    'branch': branch,
+                    'sync_status': sync_status
+                }
+            except Exception:
+                logger.warning(f"[ResourceService][Warning] Failed to get git status for dashboard {dashboard_id}")
+                return None
+        except Exception:
+            # No repo exists for this dashboard
+            return None
+    # [/DEF:_get_git_status_for_dashboard:Function]
+    
+    # [DEF:_get_last_task_for_resource:Function]
+    # @PURPOSE: Get the most recent task for a specific resource
+    # @PRE: resource_id is a valid string
+    # @POST: Returns task summary or None if no tasks found
+    # @PARAM: resource_id (str) - The resource identifier (e.g., "dashboard-123")
+    # @PARAM: tasks (Optional[List[Task]]) - List of tasks to search
+    # @RETURN: Optional[Dict] - Task summary with task_id and status
+    def _get_last_task_for_resource(
+        self,
+        resource_id: str,
+        tasks: Optional[List[Task]] = None
+    ) -> Optional[Dict[str, Any]]:
+        if not tasks:
+            return None
+        
+        # Filter tasks for this resource
+        resource_tasks = []
+        for task in tasks:
+            params = task.params or {}
+            if params.get('resource_id') == resource_id:
+                resource_tasks.append(task)
+        
+        if not resource_tasks:
+            return None
+        
+        # Get most recent task
+        last_task = max(resource_tasks, key=lambda t: t.created_at)
+        
+        return {
+            'task_id': str(last_task.id),
+            'status': last_task.status
+        }
+    # [/DEF:_get_last_task_for_resource:Function]
+    
+    # [DEF:_extract_resource_name_from_task:Function]
+    # @PURPOSE: Extract resource name from task params
+    # @PRE: task is a valid Task object
+    # @POST: Returns resource name or task ID
+    # @PARAM: task (Task) - The task to extract from
+    # @RETURN: str - Resource name or fallback
+    def _extract_resource_name_from_task(self, task: Task) -> str:
+        params = task.params or {}
+        return params.get('resource_name', f"Task {task.id}")
+    # [/DEF:_extract_resource_name_from_task:Function]
+    
+    # [DEF:_extract_resource_type_from_task:Function]
+    # @PURPOSE: Extract resource type from task params
+    # @PRE: task is a valid Task object
+    # @POST: Returns resource type or 'unknown'
+    # @PARAM: task (Task) - The task to extract from
+    # @RETURN: str - Resource type
+    def _extract_resource_type_from_task(self, task: Task) -> str:
+        params = task.params or {}
+        return params.get('resource_type', 'unknown')
+    # [/DEF:_extract_resource_type_from_task:Function]
+
+# [/DEF:ResourceService:Class]
+# [/DEF:backend.src.services.resource_service:Module]

backend/test_auth_debug.py

@@ -0,0 +1,76 @@
+#!/usr/bin/env python3
+"""Debug script to test Superset API authentication"""
+
+from pprint import pprint
+from src.core.superset_client import SupersetClient
+from src.core.config_manager import ConfigManager
+
+
+def main():
+    print("Debugging Superset API authentication...")
+    
+    config = ConfigManager()
+    
+    # Select first available environment
+    environments = config.get_environments()
+    
+    if not environments:
+        print("No environments configured")
+        return
+        
+    env = environments[0]
+    print(f"\nTesting environment: {env.name}")
+    print(f"URL: {env.url}")
+    
+    try:
+        # Test API client authentication
+        print("\n--- Testing API Authentication ---")
+        client = SupersetClient(env)
+        tokens = client.authenticate()
+        
+        print("\nAPI Auth Success!")
+        print(f"Access Token: {tokens.get('access_token', 'N/A')}")
+        print(f"CSRF Token: {tokens.get('csrf_token', 'N/A')}")
+        
+        # Debug cookies from session
+        print("\n--- Session Cookies ---")
+        for cookie in client.network.session.cookies:
+            print(f"{cookie.name}={cookie.value}")
+        
+        # Test accessing UI via requests
+        print("\n--- Testing UI Access ---")
+        ui_url = env.url.rstrip('/').replace('/api/v1', '')
+        print(f"UI URL: {ui_url}")
+        
+        # Try to access UI home page
+        ui_response = client.network.session.get(ui_url, timeout=30, allow_redirects=True)
+        print(f"Status Code: {ui_response.status_code}")
+        print(f"URL: {ui_response.url}")
+        
+        # Check response headers
+        print("\n--- Response Headers ---")
+        pprint(dict(ui_response.headers))
+        
+        print("\n--- Response Content Preview (200 chars) ---")
+        print(repr(ui_response.text[:200]))
+        
+        if ui_response.status_code == 200:
+            print("\nUI Access: Success")
+            
+            # Try to access a dashboard
+            # For testing, just use the home page
+            print("\n--- Checking if login is required ---")
+            if "login" in ui_response.url.lower() or "login" in ui_response.text.lower():
+                print("❌ Not logged in to UI")
+            else:
+                print("✅ Logged in to UI")
+        
+    except Exception as e:
+        print(f"\n❌ Error: {type(e).__name__}: {e}")
+        import traceback
+        print("\nStack Trace:")
+        print(traceback.format_exc())
+        
+
+if __name__ == "__main__":
+    main()

backend/test_decryption.py

@@ -0,0 +1,44 @@
+#!/usr/bin/env python3
+"""Test script to debug API key decryption issue."""
+
+from src.core.database import SessionLocal
+from src.models.llm import LLMProvider
+from cryptography.fernet import Fernet
+import os
+
+# Get the encryption key
+key = os.getenv("ENCRYPTION_KEY", "ZcytYzi0iHIl4Ttr-GdAEk117aGRogkGvN3wiTxrPpE=").encode()
+print(f"Encryption key (first 20 chars): {key[:20]}")
+print(f"Encryption key length: {len(key)}")
+
+# Create Fernet instance
+fernet = Fernet(key)
+
+# Get provider from database
+db = SessionLocal()
+provider = db.query(LLMProvider).filter(LLMProvider.id == '6c899741-4108-4196-aea4-f38ad2f0150e').first()
+
+if provider:
+    print("\nProvider found:")
+    print(f"  ID: {provider.id}")
+    print(f"  Name: {provider.name}")
+    print(f"  Encrypted API Key (first 50 chars): {provider.api_key[:50]}")
+    print(f"  Encrypted API Key Length: {len(provider.api_key)}")
+    
+    # Test decryption
+    print("\nAttempting decryption...")
+    try:
+        decrypted = fernet.decrypt(provider.api_key.encode()).decode()
+        print("Decryption successful!")
+        print(f"  Decrypted key length: {len(decrypted)}")
+        print(f"  Decrypted key (first 8 chars): {decrypted[:8]}")
+        print(f"  Decrypted key is empty: {len(decrypted) == 0}")
+    except Exception as e:
+        print(f"Decryption failed with error: {e}")
+        print(f"Error type: {type(e).__name__}")
+        import traceback
+        traceback.print_exc()
+else:
+    print("Provider not found")
+
+db.close()

backend/test_encryption.py

@@ -0,0 +1 @@
+[{"key[": 20, ")\n\n# Create Fernet instance\nfernet = Fernet(key)\n\n# Test encrypting an empty string\nempty_encrypted = fernet.encrypt(b\"": ".", "print(f": "nEncrypted empty string: {empty_encrypted"}, {"test-api-key-12345\"\ntest_encrypted = fernet.encrypt(test_key.encode()).decode()\nprint(f": "nEncrypted test key: {test_encrypted"}, {"gAAAAABphhwSZie0OwXjJ78Fk-c4Uo6doNJXipX49AX7Bypzp4ohiRX3hXPXKb45R1vhNUOqbm6Ke3-eRwu_KdWMZ9chFBKmqw==\"\nprint(f": "nStored encrypted key: {stored_key"}, {"len(stored_key)}": "Check if stored key matches empty string encryption\nif stored_key == empty_encrypted:\n    print(", "string!": "else:\n    print(", "print(f": "mpty string encryption: {empty_encrypted"}, {"stored_key}": "Try to decrypt the stored key\ntry:\n    decrypted = fernet.decrypt(stored_key.encode()).decode()\n    print(f", "print(f": "ecrypted key length: {len(decrypted)"}, {")\nexcept Exception as e:\n    print(f": "nDecryption failed with error: {e"}]

backend/tests/test_auth.py

@@ -1,5 +1,4 @@
 import sys
-import os
 from pathlib import Path
 
 # Add src to path
@@ -8,7 +7,7 @@ sys.path.append(str(Path(__file__).parent.parent / "src"))
 import pytest
 from sqlalchemy import create_engine
 from sqlalchemy.orm import sessionmaker
-from src.core.database import Base, get_auth_db
+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

backend/tests/test_dashboards_api.py

@@ -0,0 +1,67 @@
+# [DEF:backend.tests.test_dashboards_api:Module]
+# @TIER: STANDARD
+# @PURPOSE: Contract-driven tests for Dashboard Hub API
+# @RELATION: TESTS -> backend.src.api.routes.dashboards
+
+from fastapi.testclient import TestClient
+from unittest.mock import MagicMock, patch
+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.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_dashboards_with_status.return_value = [
+            {
+                "id": 1,
+                "title": "Sales Report",
+                "slug": "sales",
+                "git_status": {"branch": "main", "sync_status": "OK"},
+                "last_task": {"task_id": "task-1", "status": "SUCCESS"}
+            }
+        ]
+        
+        # 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 len(data["dashboards"]) == 1
+        assert data["dashboards"][0]["title"] == "Sales Report"
+        # Validate against Pydantic model
+        DashboardsResponse(**data)
+
+# [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:backend.tests.test_dashboards_api:Module]

backend/tests/test_log_persistence.py

@@ -0,0 +1,395 @@
+# [DEF:test_log_persistence:Module]
+# @SEMANTICS: test, log, persistence, unit_test
+# @PURPOSE: Unit tests for TaskLogPersistenceService.
+# @LAYER: Test
+# @RELATION: TESTS -> TaskLogPersistenceService
+# @TIER: STANDARD
+
+# [SECTION: IMPORTS]
+from datetime import datetime
+from sqlalchemy import create_engine
+from sqlalchemy.orm import sessionmaker
+
+from src.core.task_manager.persistence import TaskLogPersistenceService
+from src.core.task_manager.models import LogEntry
+# [/SECTION]
+
+# [DEF:TestLogPersistence:Class]
+# @PURPOSE: Test suite for TaskLogPersistenceService.
+# @TIER: STANDARD
+class TestLogPersistence:
+
+    # [DEF:setup_class:Function]
+    # @PURPOSE: Setup test database and service instance.
+    # @PRE: None.
+    # @POST: In-memory database and service instance created.
+    @classmethod
+    def setup_class(cls):
+        """Create an in-memory database for testing."""
+        cls.engine = create_engine("sqlite:///:memory:")
+        cls.SessionLocal = sessionmaker(bind=cls.engine)
+        cls.service = TaskLogPersistenceService(cls.engine)
+    # [/DEF:setup_class:Function]
+
+    # [DEF:teardown_class:Function]
+    # @PURPOSE: Clean up test database.
+    # @PRE: None.
+    # @POST: Database disposed.
+    @classmethod
+    def teardown_class(cls):
+        """Dispose of the database engine."""
+        cls.engine.dispose()
+    # [/DEF:teardown_class:Function]
+
+    # [DEF:setup_method:Function]
+    # @PURPOSE: Setup for each test method.
+    # @PRE: None.
+    # @POST: Fresh database session created.
+    def setup_method(self):
+        """Create a new session for each test."""
+        self.session = self.SessionLocal()
+    # [/DEF:setup_method:Function]
+
+    # [DEF:teardown_method:Function]
+    # @PURPOSE: Cleanup after each test method.
+    # @PRE: None.
+    # @POST: Session closed and rolled back.
+    def teardown_method(self):
+        """Close the session after each test."""
+        self.session.close()
+    # [/DEF:teardown_method:Function]
+
+    # [DEF:test_add_log_single:Function]
+    # @PURPOSE: Test adding a single log entry.
+    # @PRE: Service and session initialized.
+    # @POST: Log entry persisted to database.
+    def test_add_log_single(self):
+        """Test adding a single log entry."""
+        entry = LogEntry(
+            task_id="test-task-1",
+            timestamp=datetime.now(),
+            level="INFO",
+            source="test_source",
+            message="Test message"
+        )
+        
+        self.service.add_log(entry)
+        
+        # Query the database
+        result = self.session.query(LogEntry).filter_by(task_id="test-task-1").first()
+        
+        assert result is not None
+        assert result.level == "INFO"
+        assert result.source == "test_source"
+        assert result.message == "Test message"
+    # [/DEF:test_add_log_single:Function]
+
+    # [DEF:test_add_log_batch:Function]
+    # @PURPOSE: Test adding multiple log entries in batch.
+    # @PRE: Service and session initialized.
+    # @POST: All log entries persisted to database.
+    def test_add_log_batch(self):
+        """Test adding multiple log entries in batch."""
+        entries = [
+            LogEntry(
+                task_id="test-task-2",
+                timestamp=datetime.now(),
+                level="INFO",
+                source="source1",
+                message="Message 1"
+            ),
+            LogEntry(
+                task_id="test-task-2",
+                timestamp=datetime.now(),
+                level="WARNING",
+                source="source2",
+                message="Message 2"
+            ),
+            LogEntry(
+                task_id="test-task-2",
+                timestamp=datetime.now(),
+                level="ERROR",
+                source="source3",
+                message="Message 3"
+            ),
+        ]
+        
+        self.service.add_logs(entries)
+        
+        # Query the database
+        results = self.session.query(LogEntry).filter_by(task_id="test-task-2").all()
+        
+        assert len(results) == 3
+        assert results[0].level == "INFO"
+        assert results[1].level == "WARNING"
+        assert results[2].level == "ERROR"
+    # [/DEF:test_add_log_batch:Function]
+
+    # [DEF:test_get_logs_by_task_id:Function]
+    # @PURPOSE: Test retrieving logs by task ID.
+    # @PRE: Service and session initialized, logs exist.
+    # @POST: Returns logs for the specified task.
+    def test_get_logs_by_task_id(self):
+        """Test retrieving logs by task ID."""
+        # Add test logs
+        entries = [
+            LogEntry(
+                task_id="test-task-3",
+                timestamp=datetime.now(),
+                level="INFO",
+                source="source1",
+                message=f"Message {i}"
+            )
+            for i in range(5)
+        ]
+        self.service.add_logs(entries)
+        
+        # Retrieve logs
+        logs = self.service.get_logs("test-task-3")
+        
+        assert len(logs) == 5
+        assert all(log.task_id == "test-task-3" for log in logs)
+    # [/DEF:test_get_logs_by_task_id:Function]
+
+    # [DEF:test_get_logs_with_filters:Function]
+    # @PURPOSE: Test retrieving logs with level and source filters.
+    # @PRE: Service and session initialized, logs exist.
+    # @POST: Returns filtered logs.
+    def test_get_logs_with_filters(self):
+        """Test retrieving logs with level and source filters."""
+        # Add test logs with different levels and sources
+        entries = [
+            LogEntry(
+                task_id="test-task-4",
+                timestamp=datetime.now(),
+                level="INFO",
+                source="api",
+                message="Info message"
+            ),
+            LogEntry(
+                task_id="test-task-4",
+                timestamp=datetime.now(),
+                level="WARNING",
+                source="api",
+                message="Warning message"
+            ),
+            LogEntry(
+                task_id="test-task-4",
+                timestamp=datetime.now(),
+                level="ERROR",
+                source="storage",
+                message="Error message"
+            ),
+        ]
+        self.service.add_logs(entries)
+        
+        # Test level filter
+        warning_logs = self.service.get_logs("test-task-4", level="WARNING")
+        assert len(warning_logs) == 1
+        assert warning_logs[0].level == "WARNING"
+        
+        # Test source filter
+        api_logs = self.service.get_logs("test-task-4", source="api")
+        assert len(api_logs) == 2
+        assert all(log.source == "api" for log in api_logs)
+        
+        # Test combined filters
+        api_warning_logs = self.service.get_logs("test-task-4", level="WARNING", source="api")
+        assert len(api_warning_logs) == 1
+    # [/DEF:test_get_logs_with_filters:Function]
+
+    # [DEF:test_get_logs_with_pagination:Function]
+    # @PURPOSE: Test retrieving logs with pagination.
+    # @PRE: Service and session initialized, logs exist.
+    # @POST: Returns paginated logs.
+    def test_get_logs_with_pagination(self):
+        """Test retrieving logs with pagination."""
+        # Add 15 test logs
+        entries = [
+            LogEntry(
+                task_id="test-task-5",
+                timestamp=datetime.now(),
+                level="INFO",
+                source="test",
+                message=f"Message {i}"
+            )
+            for i in range(15)
+        ]
+        self.service.add_logs(entries)
+        
+        # Test first page
+        page1 = self.service.get_logs("test-task-5", limit=10, offset=0)
+        assert len(page1) == 10
+        
+        # Test second page
+        page2 = self.service.get_logs("test-task-5", limit=10, offset=10)
+        assert len(page2) == 5
+    # [/DEF:test_get_logs_with_pagination:Function]
+
+    # [DEF:test_get_logs_with_search:Function]
+    # @PURPOSE: Test retrieving logs with search query.
+    # @PRE: Service and session initialized, logs exist.
+    # @POST: Returns logs matching search query.
+    def test_get_logs_with_search(self):
+        """Test retrieving logs with search query."""
+        # Add test logs
+        entries = [
+            LogEntry(
+                task_id="test-task-6",
+                timestamp=datetime.now(),
+                level="INFO",
+                source="api",
+                message="User authentication successful"
+            ),
+            LogEntry(
+                task_id="test-task-6",
+                timestamp=datetime.now(),
+                level="ERROR",
+                source="api",
+                message="Failed to connect to database"
+            ),
+            LogEntry(
+                task_id="test-task-6",
+                timestamp=datetime.now(),
+                level="INFO",
+                source="storage",
+                message="File saved successfully"
+            ),
+        ]
+        self.service.add_logs(entries)
+        
+        # Test search for "authentication"
+        auth_logs = self.service.get_logs("test-task-6", search="authentication")
+        assert len(auth_logs) == 1
+        assert "authentication" in auth_logs[0].message.lower()
+        
+        # Test search for "failed"
+        failed_logs = self.service.get_logs("test-task-6", search="failed")
+        assert len(failed_logs) == 1
+        assert "failed" in failed_logs[0].message.lower()
+    # [/DEF:test_get_logs_with_search:Function]
+
+    # [DEF:test_get_log_stats:Function]
+    # @PURPOSE: Test retrieving log statistics.
+    # @PRE: Service and session initialized, logs exist.
+    # @POST: Returns statistics grouped by level and source.
+    def test_get_log_stats(self):
+        """Test retrieving log statistics."""
+        # Add test logs
+        entries = [
+            LogEntry(
+                task_id="test-task-7",
+                timestamp=datetime.now(),
+                level="INFO",
+                source="api",
+                message="Info 1"
+            ),
+            LogEntry(
+                task_id="test-task-7",
+                timestamp=datetime.now(),
+                level="INFO",
+                source="api",
+                message="Info 2"
+            ),
+            LogEntry(
+                task_id="test-task-7",
+                timestamp=datetime.now(),
+                level="WARNING",
+                source="api",
+                message="Warning 1"
+            ),
+            LogEntry(
+                task_id="test-task-7",
+                timestamp=datetime.now(),
+                level="ERROR",
+                source="storage",
+                message="Error 1"
+            ),
+        ]
+        self.service.add_logs(entries)
+        
+        # Get stats
+        stats = self.service.get_log_stats("test-task-7")
+        
+        assert stats is not None
+        assert stats["by_level"]["INFO"] == 2
+        assert stats["by_level"]["WARNING"] == 1
+        assert stats["by_level"]["ERROR"] == 1
+        assert stats["by_source"]["api"] == 3
+        assert stats["by_source"]["storage"] == 1
+    # [/DEF:test_get_log_stats:Function]
+
+    # [DEF:test_get_log_sources:Function]
+    # @PURPOSE: Test retrieving unique log sources.
+    # @PRE: Service and session initialized, logs exist.
+    # @POST: Returns list of unique sources.
+    def test_get_log_sources(self):
+        """Test retrieving unique log sources."""
+        # Add test logs
+        entries = [
+            LogEntry(
+                task_id="test-task-8",
+                timestamp=datetime.now(),
+                level="INFO",
+                source="api",
+                message="Message 1"
+            ),
+            LogEntry(
+                task_id="test-task-8",
+                timestamp=datetime.now(),
+                level="INFO",
+                source="storage",
+                message="Message 2"
+            ),
+            LogEntry(
+                task_id="test-task-8",
+                timestamp=datetime.now(),
+                level="INFO",
+                source="git",
+                message="Message 3"
+            ),
+        ]
+        self.service.add_logs(entries)
+        
+        # Get sources
+        sources = self.service.get_log_sources("test-task-8")
+        
+        assert len(sources) == 3
+        assert "api" in sources
+        assert "storage" in sources
+        assert "git" in sources
+    # [/DEF:test_get_log_sources:Function]
+
+    # [DEF:test_delete_logs_by_task_id:Function]
+    # @PURPOSE: Test deleting logs by task ID.
+    # @PRE: Service and session initialized, logs exist.
+    # @POST: Logs for the task are deleted.
+    def test_delete_logs_by_task_id(self):
+        """Test deleting logs by task ID."""
+        # Add test logs
+        entries = [
+            LogEntry(
+                task_id="test-task-9",
+                timestamp=datetime.now(),
+                level="INFO",
+                source="test",
+                message=f"Message {i}"
+            )
+            for i in range(3)
+        ]
+        self.service.add_logs(entries)
+        
+        # Verify logs exist
+        logs_before = self.service.get_logs("test-task-9")
+        assert len(logs_before) == 3
+        
+        # Delete logs
+        self.service.delete_logs("test-task-9")
+        
+        # Verify logs are deleted
+        logs_after = self.service.get_logs("test-task-9")
+        assert len(logs_after) == 0
+    # [/DEF:test_delete_logs_by_task_id:Function]
+
+# [/DEF:TestLogPersistence:Class]
+# [/DEF:test_log_persistence:Module]

backend/tests/test_logger.py

@@ -1,14 +1,29 @@
 import pytest
-from src.core.logger import belief_scope, logger
+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
 
 
-# [DEF:test_belief_scope_logs_entry_action_exit:Function]
+# [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.
+# @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.
+# @PRE: belief_scope is available. caplog fixture is used. Logger configured to DEBUG.
-# @POST: Logs are verified to contain Entry, Action, and Exit tags.
+# @POST: Logs are verified to contain Entry, Action, and Exit tags at DEBUG level.
-def test_belief_scope_logs_entry_action_exit(caplog):
+def test_belief_scope_logs_entry_action_exit_at_debug(caplog):
-    """Test that belief_scope generates [ID][Entry], [ID][Action], and [ID][Exit] logs."""
+    """Test that belief_scope generates [ID][Entry], [ID][Action], and [ID][Exit] logs at DEBUG level."""
-    caplog.set_level("INFO")
+    # 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")
@@ -19,16 +34,28 @@ def test_belief_scope_logs_entry_action_exit(caplog):
     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"
-# [/DEF:test_belief_scope_logs_entry_action_exit:Function]
+    
+    # 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.
+# @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."""
-    caplog.set_level("INFO")
+    # 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"):
@@ -39,16 +66,28 @@ def test_belief_scope_error_handling(caplog):
     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.
+# @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."""
-    caplog.set_level("INFO")
+    # 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
@@ -56,4 +95,119 @@ def test_belief_scope_success_coherence(caplog):
     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]
+    
+    # Reset to INFO
+    config = LoggingConfig(level="INFO", task_log_level="INFO", enable_belief_state=True)
+    configure_logger(config)
+# [/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."""
+    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"
+    
+    # Reset to INFO
+    config = LoggingConfig(
+        level="INFO",
+        task_log_level="INFO",
+        enable_belief_state=True
+    )
+    configure_logger(config)
+    assert get_task_log_level() == "INFO", "task_log_level should be reset to INFO"
+# [/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"
+    
+    # Re-enable for other tests
+    config = LoggingConfig(
+        level="DEBUG",
+        task_log_level="DEBUG",
+        enable_belief_state=True
+    )
+    configure_logger(config)
+# [/DEF:test_enable_belief_state_flag:Function]

backend/tests/test_models.py

@@ -1,4 +1,3 @@
-import pytest
 from src.core.config_models import Environment
 from src.core.logger import belief_scope
 

backend/tests/test_resource_hubs.py

@@ -0,0 +1,123 @@
+import pytest
+from fastapi.testclient import TestClient
+from unittest.mock import MagicMock
+from src.app import app
+from src.dependencies import get_config_manager, get_task_manager, get_resource_service, has_permission
+
+client = TestClient(app)
+
+# [DEF:test_dashboards_api:Test]
+# @PURPOSE: Verify GET /api/dashboards contract compliance
+# @TEST: Valid env_id returns 200 and dashboard list
+# @TEST: Invalid env_id returns 404
+# @TEST: Search filter works
+
+@pytest.fixture
+def mock_deps():
+    config_manager = MagicMock()
+    task_manager = MagicMock()
+    resource_service = MagicMock()
+    
+    # Mock environment
+    env = MagicMock()
+    env.id = "env1"
+    config_manager.get_environments.return_value = [env]
+    
+    # Mock tasks
+    task_manager.get_all_tasks.return_value = []
+    
+    # Mock dashboards
+    resource_service.get_dashboards_with_status.return_value = [
+        {"id": 1, "title": "Sales", "slug": "sales", "git_status": {"branch": "main", "sync_status": "OK"}, "last_task": None},
+        {"id": 2, "title": "Marketing", "slug": "mkt", "git_status": None, "last_task": {"task_id": "t1", "status": "SUCCESS"}}
+    ]
+    
+    app.dependency_overrides[get_config_manager] = lambda: config_manager
+    app.dependency_overrides[get_task_manager] = lambda: task_manager
+    app.dependency_overrides[get_resource_service] = lambda: resource_service
+    
+    # Bypass permission check
+    mock_user = MagicMock()
+    mock_user.username = "testadmin"
+    
+    # Override both get_current_user and has_permission
+    from src.dependencies import get_current_user
+    app.dependency_overrides[get_current_user] = lambda: mock_user
+    
+    # We need to override the specific instance returned by has_permission
+    app.dependency_overrides[has_permission("plugin:migration", "READ")] = lambda: mock_user
+    
+    yield {
+        "config": config_manager,
+        "task": task_manager,
+        "resource": resource_service
+    }
+    
+    app.dependency_overrides.clear()
+
+def test_get_dashboards_success(mock_deps):
+    response = client.get("/api/dashboards?env_id=env1")
+    assert response.status_code == 200
+    data = response.json()
+    assert "dashboards" in data
+    assert len(data["dashboards"]) == 2
+    assert data["dashboards"][0]["title"] == "Sales"
+    assert data["dashboards"][0]["git_status"]["sync_status"] == "OK"
+
+def test_get_dashboards_not_found(mock_deps):
+    response = client.get("/api/dashboards?env_id=invalid")
+    assert response.status_code == 404
+
+def test_get_dashboards_search(mock_deps):
+    response = client.get("/api/dashboards?env_id=env1&search=Sales")
+    assert response.status_code == 200
+    data = response.json()
+    assert len(data["dashboards"]) == 1
+    assert data["dashboards"][0]["title"] == "Sales"
+
+# [/DEF:test_dashboards_api:Test]
+
+# [DEF:test_datasets_api:Test]
+# @PURPOSE: Verify GET /api/datasets contract compliance
+# @TEST: Valid env_id returns 200 and dataset list
+# @TEST: Invalid env_id returns 404
+# @TEST: Search filter works
+# @TEST: Negative - Service failure returns 503
+
+def test_get_datasets_success(mock_deps):
+    mock_deps["resource"].get_datasets_with_status.return_value = [
+        {"id": 1, "table_name": "orders", "schema": "public", "database": "db1", "mapped_fields": {"total": 10, "mapped": 5}, "last_task": None}
+    ]
+    
+    response = client.get("/api/datasets?env_id=env1")
+    assert response.status_code == 200
+    data = response.json()
+    assert "datasets" in data
+    assert len(data["datasets"]) == 1
+    assert data["datasets"][0]["table_name"] == "orders"
+    assert data["datasets"][0]["mapped_fields"]["mapped"] == 5
+
+def test_get_datasets_not_found(mock_deps):
+    response = client.get("/api/datasets?env_id=invalid")
+    assert response.status_code == 404
+
+def test_get_datasets_search(mock_deps):
+    mock_deps["resource"].get_datasets_with_status.return_value = [
+        {"id": 1, "table_name": "orders", "schema": "public", "database": "db1", "mapped_fields": {"total": 10, "mapped": 5}, "last_task": None},
+        {"id": 2, "table_name": "users", "schema": "public", "database": "db1", "mapped_fields": {"total": 5, "mapped": 5}, "last_task": None}
+    ]
+    
+    response = client.get("/api/datasets?env_id=env1&search=orders")
+    assert response.status_code == 200
+    data = response.json()
+    assert len(data["datasets"]) == 1
+    assert data["datasets"][0]["table_name"] == "orders"
+
+def test_get_datasets_service_failure(mock_deps):
+    mock_deps["resource"].get_datasets_with_status.side_effect = Exception("Superset down")
+    
+    response = client.get("/api/datasets?env_id=env1")
+    assert response.status_code == 503
+    assert "Failed to fetch datasets" in response.json()["detail"]
+
+# [/DEF:test_datasets_api:Test]

backend/tests/test_resource_service.py

@@ -0,0 +1,47 @@
+# [DEF:backend.tests.test_resource_service:Module]
+# @TIER: STANDARD
+# @PURPOSE: Contract-driven tests for ResourceService
+# @RELATION: TESTS -> backend.src.services.resource_service
+
+import pytest
+from unittest.mock import MagicMock, patch
+from src.services.resource_service import ResourceService
+
+@pytest.mark.asyncio
+async def test_get_dashboards_with_status():
+    # [DEF:test_get_dashboards_with_status:Function]
+    # @TEST: ResourceService correctly enhances dashboard data
+    # @PRE: SupersetClient returns raw dashboards
+    # @POST: Returned dicts contain git_status and last_task
+    
+    with patch("src.services.resource_service.SupersetClient") as mock_client, \
+         patch("src.services.resource_service.GitService") as mock_git:
+        
+        service = ResourceService()
+        
+        # Mock Superset response
+        mock_client.return_value.get_dashboards_summary.return_value = [
+            {"id": 1, "title": "Test Dashboard", "slug": "test"}
+        ]
+        
+        # Mock Git status
+        mock_git.return_value.get_repo.return_value = None # No repo
+        
+        # Mock tasks
+        mock_task = MagicMock()
+        mock_task.id = "task-123"
+        mock_task.status = "RUNNING"
+        mock_task.params = {"resource_id": "dashboard-1"}
+        
+        env = MagicMock()
+        env.id = "prod"
+        
+        result = await service.get_dashboards_with_status(env, [mock_task])
+        
+        assert len(result) == 1
+        assert result[0]["id"] == 1
+        assert "git_status" in result[0]
+        assert result[0]["last_task"]["task_id"] == "task-123"
+        assert result[0]["last_task"]["status"] == "RUNNING"
+
+# [/DEF:backend.tests.test_resource_service:Module]

backend/tests/test_task_logger.py

@@ -0,0 +1,374 @@
+# [DEF:test_task_logger:Module]
+# @SEMANTICS: test, task_logger, task_context, unit_test
+# @PURPOSE: Unit tests for TaskLogger and TaskContext.
+# @LAYER: Test
+# @RELATION: TESTS -> TaskLogger, TaskContext
+# @TIER: STANDARD
+
+# [SECTION: IMPORTS]
+from unittest.mock import Mock
+
+from src.core.task_manager.task_logger import TaskLogger
+from src.core.task_manager.context import TaskContext
+# [/SECTION]
+
+# [DEF:TestTaskLogger:Class]
+# @PURPOSE: Test suite for TaskLogger.
+# @TIER: STANDARD
+class TestTaskLogger:
+
+    # [DEF:setup_method:Function]
+    # @PURPOSE: Setup for each test method.
+    # @PRE: None.
+    # @POST: Mock add_log_fn created.
+    def setup_method(self):
+        """Create a mock add_log function for testing."""
+        self.mock_add_log = Mock()
+        self.logger = TaskLogger(
+            task_id="test-task-1",
+            add_log_fn=self.mock_add_log,
+            source="test_source"
+        )
+    # [/DEF:setup_method:Function]
+
+    # [DEF:test_init:Function]
+    # @PURPOSE: Test TaskLogger initialization.
+    # @PRE: None.
+    # @POST: Logger instance created with correct attributes.
+    def test_init(self):
+        """Test TaskLogger initialization."""
+        assert self.logger._task_id == "test-task-1"
+        assert self.logger._default_source == "test_source"
+        assert self.logger._add_log == self.mock_add_log
+    # [/DEF:test_init:Function]
+
+    # [DEF:test_with_source:Function]
+    # @PURPOSE: Test creating a sub-logger with different source.
+    # @PRE: Logger initialized.
+    # @POST: New logger created with different source but same task_id.
+    def test_with_source(self):
+        """Test creating a sub-logger with different source."""
+        sub_logger = self.logger.with_source("new_source")
+        
+        assert sub_logger._task_id == "test-task-1"
+        assert sub_logger._default_source == "new_source"
+        assert sub_logger._add_log == self.mock_add_log
+    # [/DEF:test_with_source:Function]
+
+    # [DEF:test_debug:Function]
+    # @PURPOSE: Test debug log level.
+    # @PRE: Logger initialized.
+    # @POST: add_log_fn called with DEBUG level.
+    def test_debug(self):
+        """Test debug logging."""
+        self.logger.debug("Debug message")
+        
+        self.mock_add_log.assert_called_once_with(
+            task_id="test-task-1",
+            level="DEBUG",
+            message="Debug message",
+            source="test_source",
+            metadata=None
+        )
+    # [/DEF:test_debug:Function]
+
+    # [DEF:test_info:Function]
+    # @PURPOSE: Test info log level.
+    # @PRE: Logger initialized.
+    # @POST: add_log_fn called with INFO level.
+    def test_info(self):
+        """Test info logging."""
+        self.logger.info("Info message")
+        
+        self.mock_add_log.assert_called_once_with(
+            task_id="test-task-1",
+            level="INFO",
+            message="Info message",
+            source="test_source",
+            metadata=None
+        )
+    # [/DEF:test_info:Function]
+
+    # [DEF:test_warning:Function]
+    # @PURPOSE: Test warning log level.
+    # @PRE: Logger initialized.
+    # @POST: add_log_fn called with WARNING level.
+    def test_warning(self):
+        """Test warning logging."""
+        self.logger.warning("Warning message")
+        
+        self.mock_add_log.assert_called_once_with(
+            task_id="test-task-1",
+            level="WARNING",
+            message="Warning message",
+            source="test_source",
+            metadata=None
+        )
+    # [/DEF:test_warning:Function]
+
+    # [DEF:test_error:Function]
+    # @PURPOSE: Test error log level.
+    # @PRE: Logger initialized.
+    # @POST: add_log_fn called with ERROR level.
+    def test_error(self):
+        """Test error logging."""
+        self.logger.error("Error message")
+        
+        self.mock_add_log.assert_called_once_with(
+            task_id="test-task-1",
+            level="ERROR",
+            message="Error message",
+            source="test_source",
+            metadata=None
+        )
+    # [/DEF:test_error:Function]
+
+    # [DEF:test_error_with_metadata:Function]
+    # @PURPOSE: Test error logging with metadata.
+    # @PRE: Logger initialized.
+    # @POST: add_log_fn called with ERROR level and metadata.
+    def test_error_with_metadata(self):
+        """Test error logging with metadata."""
+        metadata = {"error_code": 500, "details": "Connection failed"}
+        self.logger.error("Error message", metadata=metadata)
+        
+        self.mock_add_log.assert_called_once_with(
+            task_id="test-task-1",
+            level="ERROR",
+            message="Error message",
+            source="test_source",
+            metadata=metadata
+        )
+    # [/DEF:test_error_with_metadata:Function]
+
+    # [DEF:test_progress:Function]
+    # @PURPOSE: Test progress logging.
+    # @PRE: Logger initialized.
+    # @POST: add_log_fn called with INFO level and progress metadata.
+    def test_progress(self):
+        """Test progress logging."""
+        self.logger.progress("Processing items", percent=50)
+        
+        expected_metadata = {"progress": 50}
+        self.mock_add_log.assert_called_once_with(
+            task_id="test-task-1",
+            level="INFO",
+            message="Processing items",
+            source="test_source",
+            metadata=expected_metadata
+        )
+    # [/DEF:test_progress:Function]
+
+    # [DEF:test_progress_clamping:Function]
+    # @PURPOSE: Test progress value clamping (0-100).
+    # @PRE: Logger initialized.
+    # @POST: Progress values clamped to 0-100 range.
+    def test_progress_clamping(self):
+        """Test progress value clamping."""
+        # Test below 0
+        self.logger.progress("Below 0", percent=-10)
+        call1 = self.mock_add_log.call_args_list[0]
+        assert call1.kwargs["metadata"]["progress"] == 0
+        
+        self.mock_add_log.reset_mock()
+        
+        # Test above 100
+        self.logger.progress("Above 100", percent=150)
+        call2 = self.mock_add_log.call_args_list[0]
+        assert call2.kwargs["metadata"]["progress"] == 100
+    # [/DEF:test_progress_clamping:Function]
+
+    # [DEF:test_source_override:Function]
+    # @PURPOSE: Test overriding the default source.
+    # @PRE: Logger initialized.
+    # @POST: add_log_fn called with overridden source.
+    def test_source_override(self):
+        """Test overriding the default source."""
+        self.logger.info("Message", source="override_source")
+        
+        self.mock_add_log.assert_called_once_with(
+            task_id="test-task-1",
+            level="INFO",
+            message="Message",
+            source="override_source",
+            metadata=None
+        )
+    # [/DEF:test_source_override:Function]
+
+    # [DEF:test_sub_logger_source_independence:Function]
+    # @PURPOSE: Test sub-logger independence from parent.
+    # @PRE: Logger and sub-logger initialized.
+    # @POST: Sub-logger has different source, parent unchanged.
+    def test_sub_logger_source_independence(self):
+        """Test sub-logger source independence from parent."""
+        sub_logger = self.logger.with_source("sub_source")
+        
+        # Log with parent
+        self.logger.info("Parent message")
+        
+        # Log with sub-logger
+        sub_logger.info("Sub message")
+        
+        # Verify both calls were made with correct sources
+        calls = self.mock_add_log.call_args_list
+        assert len(calls) == 2
+        assert calls[0].kwargs["source"] == "test_source"
+        assert calls[1].kwargs["source"] == "sub_source"
+    # [/DEF:test_sub_logger_source_independence:Function]
+
+# [/DEF:TestTaskLogger:Class]
+
+# [DEF:TestTaskContext:Class]
+# @PURPOSE: Test suite for TaskContext.
+# @TIER: STANDARD
+class TestTaskContext:
+
+    # [DEF:setup_method:Function]
+    # @PURPOSE: Setup for each test method.
+    # @PRE: None.
+    # @POST: Mock add_log_fn created.
+    def setup_method(self):
+        """Create a mock add_log function for testing."""
+        self.mock_add_log = Mock()
+        self.params = {"param1": "value1", "param2": "value2"}
+        self.context = TaskContext(
+            task_id="test-task-2",
+            add_log_fn=self.mock_add_log,
+            params=self.params,
+            default_source="plugin"
+        )
+    # [/DEF:setup_method:Function]
+
+    # [DEF:test_init:Function]
+    # @PURPOSE: Test TaskContext initialization.
+    # @PRE: None.
+    # @POST: Context instance created with correct attributes.
+    def test_init(self):
+        """Test TaskContext initialization."""
+        assert self.context._task_id == "test-task-2"
+        assert self.context._params == self.params
+        assert isinstance(self.context._logger, TaskLogger)
+        assert self.context._logger._default_source == "plugin"
+    # [/DEF:test_init:Function]
+
+    # [DEF:test_task_id_property:Function]
+    # @PURPOSE: Test task_id property.
+    # @PRE: Context initialized.
+    # @POST: Returns correct task_id.
+    def test_task_id_property(self):
+        """Test task_id property."""
+        assert self.context.task_id == "test-task-2"
+    # [/DEF:test_task_id_property:Function]
+
+    # [DEF:test_logger_property:Function]
+    # @PURPOSE: Test logger property.
+    # @PRE: Context initialized.
+    # @POST: Returns TaskLogger instance.
+    def test_logger_property(self):
+        """Test logger property."""
+        logger = self.context.logger
+        assert isinstance(logger, TaskLogger)
+        assert logger._task_id == "test-task-2"
+        assert logger._default_source == "plugin"
+    # [/DEF:test_logger_property:Function]
+
+    # [DEF:test_params_property:Function]
+    # @PURPOSE: Test params property.
+    # @PRE: Context initialized.
+    # @POST: Returns correct params dict.
+    def test_params_property(self):
+        """Test params property."""
+        assert self.context.params == self.params
+    # [/DEF:test_params_property:Function]
+
+    # [DEF:test_get_param:Function]
+    # @PURPOSE: Test getting a specific parameter.
+    # @PRE: Context initialized with params.
+    # @POST: Returns parameter value or default.
+    def test_get_param(self):
+        """Test getting a specific parameter."""
+        assert self.context.get_param("param1") == "value1"
+        assert self.context.get_param("param2") == "value2"
+        assert self.context.get_param("nonexistent") is None
+        assert self.context.get_param("nonexistent", "default") == "default"
+    # [/DEF:test_get_param:Function]
+
+    # [DEF:test_create_sub_context:Function]
+    # @PURPOSE: Test creating a sub-context with different source.
+    # @PRE: Context initialized.
+    # @POST: New context created with different logger source.
+    def test_create_sub_context(self):
+        """Test creating a sub-context with different source."""
+        sub_context = self.context.create_sub_context("new_source")
+        
+        assert sub_context._task_id == "test-task-2"
+        assert sub_context._params == self.params
+        assert sub_context._logger._default_source == "new_source"
+        assert sub_context._logger._task_id == "test-task-2"
+    # [/DEF:test_create_sub_context:Function]
+
+    # [DEF:test_context_logger_delegates_to_task_logger:Function]
+    # @PURPOSE: Test context logger delegates to TaskLogger.
+    # @PRE: Context initialized.
+    # @POST: Logger calls are delegated to TaskLogger.
+    def test_context_logger_delegates_to_task_logger(self):
+        """Test context logger delegates to TaskLogger."""
+        # Call through context
+        self.context.logger.info("Test message")
+        
+        # Verify the mock was called
+        self.mock_add_log.assert_called_once_with(
+            task_id="test-task-2",
+            level="INFO",
+            message="Test message",
+            source="plugin",
+            metadata=None
+        )
+    # [/DEF:test_context_logger_delegates_to_task_logger:Function]
+
+    # [DEF:test_sub_context_with_source:Function]
+    # @PURPOSE: Test sub-context logger uses new source.
+    # @PRE: Context initialized.
+    # @POST: Sub-context logger uses new source.
+    def test_sub_context_with_source(self):
+        """Test sub-context logger uses new source."""
+        sub_context = self.context.create_sub_context("api_source")
+        
+        # Log through sub-context
+        sub_context.logger.info("API message")
+        
+        # Verify the mock was called with new source
+        self.mock_add_log.assert_called_once_with(
+            task_id="test-task-2",
+            level="INFO",
+            message="API message",
+            source="api_source",
+            metadata=None
+        )
+    # [/DEF:test_sub_context_with_source:Function]
+
+    # [DEF:test_multiple_sub_contexts:Function]
+    # @PURPOSE: Test creating multiple sub-contexts.
+    # @PRE: Context initialized.
+    # @POST: Each sub-context has independent logger source.
+    def test_multiple_sub_contexts(self):
+        """Test creating multiple sub-contexts."""
+        sub1 = self.context.create_sub_context("source1")
+        sub2 = self.context.create_sub_context("source2")
+        sub3 = self.context.create_sub_context("source3")
+        
+        assert sub1._logger._default_source == "source1"
+        assert sub2._logger._default_source == "source2"
+        assert sub3._logger._default_source == "source3"
+        
+        # All should have same task_id and params
+        assert sub1._task_id == "test-task-2"
+        assert sub2._task_id == "test-task-2"
+        assert sub3._task_id == "test-task-2"
+        assert sub1._params == self.params
+        assert sub2._params == self.params
+        assert sub3._params == self.params
+    # [/DEF:test_multiple_sub_contexts:Function]
+
+# [/DEF:TestTaskContext:Class]
+# [/DEF:test_task_logger:Module]