fix tax log

.gitignore

@@ -10,8 +10,6 @@ dist/
 downloads/
 eggs/
 .eggs/
-lib/
-lib64/
 parts/
 sdist/
 var/
@@ -69,3 +67,4 @@ backend/tasks.db
 backend/logs
 backend/auth.db
 semantics/reports
+backend/tasks.db

.kilocode/rules/specify-rules.md

@@ -33,6 +33,8 @@ Auto-generated from all feature plans. Last updated: 2025-12-19
 - 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)
 
@@ -53,9 +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)
 
 
 <!-- MANUAL ADDITIONS START -->

.kilocode/workflows/speckit.fix.md

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

.kilocode/workflows/speckit.implement.md

@@ -117,7 +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
+   - **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

@@ -66,25 +66,30 @@ You **MUST** consider the user input before proceeding (if not empty).
 
 0. **Validate Design against UX Reference**:
    - Check if the proposed architecture supports the latency, interactivity, and flow defined in `ux_reference.md`.
-   - **CRITICAL**: If the technical plan requires compromising the UX defined in `ux_reference.md` (e.g. "We can't do real-time validation because X"), you **MUST STOP** and warn the user. Do not proceed until resolved.
+   - **Linkage**: Ensure key UI states from `ux_reference.md` map to Component Contracts (`@UX_STATE`).
+   - **CRITICAL**: If the technical plan compromises the UX (e.g. "We can't do real-time validation"), you **MUST STOP** and warn the user.
 
 1. **Extract entities from feature spec** → `data-model.md`:
-   - Entity name, fields, relationships
-   - Validation rules from requirements
-   - State transitions if applicable
+   - Entity name, fields, relationships, validation rules.
 
-2. **Define Module & Function Contracts (Semantic Protocol)**:
-   - **MANDATORY**: For every new module, define the [DEF] Header and Module-level Contract (@TIER, @PURPOSE, @INVARIANT) as per `semantic_protocol.md`.
-   - **REQUIRED**: Define Function Contracts (@PRE, @POST) for critical logic.
-   - Output specific contract definitions to `contracts/modules.md` or append to `data-model.md` to guide implementation.
-   - Ensure strict adherence to `semantic_protocol.md` syntax.
+2. **Design & Verify Contracts (Semantic Protocol)**:
+   - **Drafting**: Define [DEF] Headers and Contracts for all new modules based on `semantic_protocol.md`.
+   - **TIER Classification**: Explicitly assign `@TIER: [CRITICAL|STANDARD|TRIVIAL]` to each module.
+   - **CRITICAL Requirements**: For all CRITICAL modules, define full `@PRE`, `@POST`, and (if UI) `@UX_STATE` contracts.
+   - **Self-Review**:
+     - *Completeness*: Do `@PRE`/`@POST` cover edge cases identified in Research?
+     - *Connectivity*: Do `@RELATION` tags form a coherent graph?
+     - *Compliance*: Does syntax match `[DEF:id:Type]` exactly?
+   - **Output**: Write verified contracts to `contracts/modules.md`.
 
-3. **Generate API contracts** from functional requirements:
-   - For each user action → endpoint
-   - Use standard REST/GraphQL patterns
-   - Output OpenAPI/GraphQL schema to `/contracts/`
+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.
 
-3. **Agent context update**:
+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.tasks.md

@@ -119,7 +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

@@ -1,10 +1,7 @@
 ---
-description: Run semantic validation and functional tests for a specific feature, module, or file.
-handoffs: 
-  - label: Fix Implementation
-    agent: speckit.implement
-    prompt: Fix the issues found during testing...
-    send: true
+
+description: Generate tests, manage test documentation, and ensure maximum code coverage
+
 ---
 
 ## User Input
@@ -13,54 +10,169 @@ handoffs:
 $ARGUMENTS
 ```
 
-**Input format:** Can be a file path, a directory, or a feature name.
+You **MUST** consider the user input before proceeding (if not empty).
 
-## Outline
+## Goal
 
-1. **Context Analysis**:
-   - Determine the target scope (Backend vs Frontend vs Full Feature).
-   - Read `semantic_protocol.md` to load validation rules.
+Execute full testing cycle: analyze code for testable modules, write tests with proper coverage, maintain test documentation, and ensure no test duplication or deletion.
 
-2. **Phase 1: Semantic Static Analysis (The "Compiler" Check)**
-   - **Command:** Use `grep` or script to verify Protocol compliance before running code.
-   - **Check:**
-     - Does the file start with `[DEF:...]` header?
-     - Are `@TIER` and `@PURPOSE` defined?
-     - Are imports located *after* the contracts?
-     - Do functions marked "Critical" have `@PRE`/`@POST` tags?
-   - **Action:** If this phase fails, **STOP** and report "Semantic Compilation Failed". Do not run runtime tests.
+## Operating Constraints
 
-3. **Phase 2: Environment Prep**
-   - Detect project type:
-     - **Python**: Check if `.venv` is active.
-     - **Svelte**: Check if `node_modules` exists.
-   - **Command:** Run linter (e.g., `ruff check`, `eslint`) to catch syntax errors immediately.
+1. **NEVER delete existing tests** - Only update if they fail due to bugs in the test or implementation
+2. **NEVER duplicate tests** - Check existing tests first before creating new ones
+3. **Use TEST_DATA fixtures** - For CRITICAL tier modules, read @TEST_DATA from semantic_protocol.md
+4. **Co-location required** - Write tests in `__tests__` directories relative to the code being tested
 
-4. **Phase 3: Test Execution (Runtime)**
-   - Select the test runner based on the file path:
-     - **Backend (`*.py`)**:
-       - Command: `pytest <path_to_test_file> -v`
-       - If no specific test file exists, try to find it by convention: `tests/test_<module_name>.py`.
-     - **Frontend (`*.svelte`, `*.ts`)**:
-       - Command: `npm run test -- <path_to_component>`
-   
-   - **Verification**:
-     - Analyze output logs.
-     - If tests fail, summarize the failure (AssertionError, Timeout, etc.).
+## Execution Steps
 
-5. **Phase 4: Contract Coverage Check (Manual/LLM verify)**
-   - Review the test cases executed.
-   - **Question**: Do the tests explicitly verify the `@POST` guarantees defined in the module header?
-   - **Report**: Mark as "Weak Coverage" if contracts exist but aren't tested.
+### 1. Analyze Context
 
-## Execution Rules
+Run `.specify/scripts/bash/check-prerequisites.sh --json --require-tasks --include-tasks` from repo root and parse FEATURE_DIR and AVAILABLE_DOCS.
 
-- **Fail Fast**: If semantic headers are missing, don't waste time running pytest.
-- **No Silent Failures**: Always output the full error log if a command fails.
-- **Auto-Correction Hint**: If a test fails, suggest the specific `speckit.implement` command to fix it.
+Determine:
+- FEATURE_DIR - where the feature is located
+- TASKS_FILE - path to tasks.md
+- Which modules need testing based on task status
 
-## Example Commands
+### 2. Load Relevant Artifacts
 
-- **Python**: `pytest backend/tests/test_auth.py`
-- **Svelte**: `npm run test:unit -- src/components/Button.svelte`
-- **Lint**: `ruff check backend/src/api/`
+**From tasks.md:**
+- Identify completed implementation tasks (not test tasks)
+- Extract file paths that need tests
+
+**From semantic_protocol.md:**
+- Read @TIER annotations for modules
+- For CRITICAL modules: Read @TEST_DATA fixtures
+
+**From existing tests:**
+- Scan `__tests__` directories for existing tests
+- Identify test patterns and coverage gaps
+
+### 3. Test Coverage Analysis
+
+Create coverage matrix:
+
+| Module | File | Has Tests | TIER | TEST_DATA Available |
+|--------|------|-----------|------|-------------------|
+| ... | ... | ... | ... | ... |
+
+### 4. Write Tests (TDD Approach)
+
+For each module requiring tests:
+
+1. **Check existing tests**: Scan `__tests__/` for duplicates
+2. **Read TEST_DATA**: If CRITICAL tier, read @TEST_DATA from semantic_protocol.md
+3. **Write test**: Follow co-location strategy
+   - Python: `src/module/__tests__/test_module.py`
+   - Svelte: `src/lib/components/__tests__/test_component.test.js`
+4. **Use mocks**: Use `unittest.mock.MagicMock` for external dependencies
+
+### 4a. UX Contract Testing (Frontend Components)
+
+For Svelte components with `@UX_STATE`, `@UX_FEEDBACK`, `@UX_RECOVERY` tags:
+
+1. **Parse UX tags**: Read component file and extract all `@UX_*` annotations
+2. **Generate UX tests**: Create tests for each UX state transition
+   ```javascript
+   // Example: Testing @UX_STATE: Idle -> Expanded
+   it('should transition from Idle to Expanded on toggle click', async () => {
+     render(Sidebar);
+     const toggleBtn = screen.getByRole('button', { name: /toggle/i });
+     await fireEvent.click(toggleBtn);
+     expect(screen.getByTestId('sidebar')).toHaveClass('expanded');
+   });
+   ```
+3. **Test @UX_FEEDBACK**: Verify visual feedback (toast, shake, color changes)
+4. **Test @UX_RECOVERY**: Verify error recovery mechanisms (retry, clear input)
+5. **Use @UX_TEST fixtures**: If component has `@UX_TEST` tags, use them as test specifications
+
+**UX Test Template:**
+```javascript
+// [DEF:__tests__/test_Component:Module]
+// @RELATION: VERIFIES -> ../Component.svelte
+// @PURPOSE: Test UX states and transitions
+
+describe('Component UX States', () => {
+  // @UX_STATE: Idle -> {action: click, expected: Active}
+  it('should transition Idle -> Active on click', async () => { ... });
+  
+  // @UX_FEEDBACK: Toast on success
+  it('should show toast on successful action', async () => { ... });
+  
+  // @UX_RECOVERY: Retry on error
+  it('should allow retry on error', async () => { ... });
+});
+```
+
+### 5. Test Documentation
+
+Create/update documentation in `specs/<feature>/tests/`:
+
+```
+tests/
+├── README.md           # Test strategy and overview
+├── coverage.md         # Coverage matrix and reports
+└── reports/
+    └── YYYY-MM-DD-report.md
+```
+
+### 6. Execute Tests
+
+Run tests and report results:
+
+**Backend:**
+```bash
+cd backend && .venv/bin/python3 -m pytest -v
+```
+
+**Frontend:**
+```bash
+cd frontend && npm run test
+```
+
+### 7. Update Tasks
+
+Mark test tasks as completed in tasks.md with:
+- Test file path
+- Coverage achieved
+- Any issues found
+
+## Output
+
+Generate test execution report:
+
+```markdown
+# Test Report: [FEATURE]
+
+**Date**: [YYYY-MM-DD]
+**Executed by**: Tester Agent
+
+## Coverage Summary
+
+| Module | Tests | Coverage % |
+|--------|-------|------------|
+| ... | ... | ... |
+
+## Test Results
+
+- Total: [X]
+- Passed: [X]
+- Failed: [X]
+- Skipped: [X]
+
+## Issues Found
+
+| Test | Error | Resolution |
+|------|-------|------------|
+| ... | ... | ... |
+
+## Next Steps
+
+- [ ] Fix failed tests
+- [ ] Add more coverage for [module]
+- [ ] Review TEST_DATA fixtures
+```
+
+## Context for Testing
+
+$ARGUMENTS

.kilocodemodes

@@ -1,18 +1,31 @@
 customModes:
   - slug: tester
     name: Tester
-    description: QA and Plan Verification Specialist
+    description: QA and Test Engineer - Full Testing Cycle
     roleDefinition: |-
-      You are Kilo Code, acting as a QA and Verification Specialist. Your primary goal is to validate that the project implementation aligns strictly with the defined specifications and task plans.
-      Your responsibilities include: - Reading and analyzing task plans and specifications (typically in the `specs/` directory). - Verifying that implemented code matches the requirements. - Executing tests and validating system behavior via CLI or Browser. - Updating the status of tasks in the plan files (e.g., marking checkboxes [x]) as they are verified. - Identifying and reporting missing features or bugs.
-    whenToUse: Use this mode when you need to audit the progress of a project, verify completed tasks against the plan, run quality assurance checks, or update the status of task lists in specification documents.
+      You are Kilo Code, acting as a QA and Test Engineer. Your primary goal is to ensure maximum test coverage, maintain test quality, and preserve existing tests.
+      Your responsibilities include:
+      - WRITING TESTS: Create comprehensive unit tests following TDD principles, using co-location strategy (`__tests__` directories).
+      - TEST DATA: For CRITICAL tier modules, you MUST use @TEST_DATA fixtures defined in semantic_protocol.md. Read and apply them in your tests.
+      - DOCUMENTATION: Maintain test documentation in `specs/<feature>/tests/` directory with coverage reports and test case specifications.
+      - VERIFICATION: Run tests, analyze results, and ensure all tests pass.
+      - PROTECTION: NEVER delete existing tests. NEVER duplicate tests - check for existing tests first.
+    whenToUse: Use this mode when you need to write tests, run test coverage analysis, or perform quality assurance with full testing cycle.
     groups:
       - read
       - edit
       - command
       - browser
       - mcp
-    customInstructions: 1. Always begin by loading the relevant plan or task list from the `specs/` directory. 2. Do not assume a task is done just because it is checked; verify the code or functionality first if asked to audit. 3. When updating task lists, ensure you only mark items as complete if you have verified them.
+    customInstructions: |
+      1. CO-LOCATION: Write tests in `__tests__` subdirectories relative to the code being tested (Fractal Strategy).
+      2. TEST DATA MANDATORY: For CRITICAL modules, read @TEST_DATA from semantic_protocol.md and use fixtures in tests.
+      3. UX CONTRACT TESTING: For Svelte components with @UX_STATE, @UX_FEEDBACK, @UX_RECOVERY tags, create comprehensive UX tests.
+      4. NO DELETION: Never delete existing tests - only update if they fail due to legitimate bugs.
+      5. NO DUPLICATION: Check existing tests in `__tests__/` before creating new ones. Reuse existing test patterns.
+      6. DOCUMENTATION: Create test reports in `specs/<feature>/tests/reports/YYYY-MM-DD-report.md`.
+      7. COVERAGE: Aim for maximum coverage but prioritize CRITICAL and STANDARD tier modules.
+      8. RUN TESTS: Execute tests using `cd backend && .venv/bin/python3 -m pytest` or `cd frontend && npm run test`.
   - slug: semantic
     name: Semantic Agent
     roleDefinition: |-
@@ -33,7 +46,7 @@ customModes:
     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`)
+      You act as the orchestrator for: - Specification (`speckit.specify`, `speckit.clarify`) - Planning (`speckit.plan`) - Task Management (`speckit.tasks`, `speckit.taskstoissues`) - Quality Assurance (`speckit.analyze`, `speckit.checklist`, `speckit.test`, `speckit.fix`) - Governance (`speckit.constitution`) - Implementation Oversight (`speckit.implement`)
       For each task, you must read the relevant workflow file from `.kilocode/workflows/` and follow its Execution Steps precisely.
     whenToUse: Use this mode when you need to run any /speckit.* command or when dealing with high-level feature planning, specification writing, or project management tasks.
     description: Executes SpecKit workflows for feature management
@@ -44,3 +57,26 @@ customModes:
       - command
       - mcp
     source: project
+  - slug: coder
+    name: Coder
+    roleDefinition: You are Kilo Code, acting as an Implementation Specialist. Your primary goal is to write code that strictly follows the Semantic Protocol defined in `semantic_protocol.md`.
+    whenToUse: Use this mode when you need to implement features, write code, or fix issues based on test reports.
+    description: Implementation Specialist - Semantic Protocol Compliant
+    customInstructions: |
+      1. SEMANTIC PROTOCOL: ALWAYS use semantic_protocol.md as your single source of truth.
+      2. ANCHOR FORMAT: Use #[DEF:filename:Type] at start and #[/DEF:filename] at end.
+      3. TAGS: Add @PURPOSE, @LAYER, @TIER, @RELATION, @PRE, @POST, @UX_STATE, @UX_FEEDBACK, @UX_RECOVERY.
+      4. TIER COMPLIANCE:
+        - CRITICAL: Full contract + all UX tags + strict logging
+        - STANDARD: Basic contract + UX tags where applicable
+        - TRIVIAL: Only anchors + @PURPOSE
+      5. CODE SIZE: Keep modules under 300 lines. Refactor if exceeding.
+      6. ERROR HANDLING: Use if/raise or guards, never assert.
+      7. TEST FIXES: When fixing failing tests, preserve semantic annotations. Only update code logic.
+      8. RUN TESTS: After fixes, run tests to verify: `cd backend && .venv/bin/python3 -m pytest` or `cd frontend && npm run test`.
+    groups:
+      - read
+      - edit
+      - command
+      - mcp
+    source: project

.specify/memory/constitution.md

@@ -1,9 +1,9 @@
 <!--
 SYNC IMPACT REPORT
-Version: 2.2.0 (ConfigManager Discipline)
+Version: 2.3.0 (Tailwind CSS & Scoped CSS Minimization)
 Changes:
-- 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.
+- Updated Principle III: Added mandatory requirement for Tailwind CSS usage and minimization of scoped `<style>` blocks in Svelte components.
+- Version bump: 2.2.0 -> 2.3.0 (Minor: New material guidance added).
 Templates Status:
 - .specify/templates/plan-template.md: ✅ Aligned.
 - .specify/templates/spec-template.md: ✅ Aligned.
@@ -27,6 +27,7 @@ All functional extensions, tools, or major features must be implemented as modul
 ### III. 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.
+- **Tailwind CSS First**: All styling MUST be implemented using Tailwind CSS utility classes. The use of scoped `<style>` blocks in Svelte components MUST be minimized and reserved only for complex animations or third-party overrides that cannot be achieved via Tailwind.
 - **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.
 
@@ -52,4 +53,4 @@ This Constitution establishes the "Semantic Code Generation Protocol" as the sup
 - **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**: 2.2.0 | **Ratified**: 2025-12-19 | **Last Amended**: 2026-01-29
+**Version**: 2.3.0 | **Ratified**: 2025-12-19 | **Last Amended**: 2026-02-18

.specify/templates/plan-template.md

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

.specify/templates/spec-template.md

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

.specify/templates/tasks-template.md

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

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

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

backend/src/api/routes/__init__.py

@@ -1 +1,10 @@
-from . import plugins, tasks, settings, connections, environments, mappings, migration, git, storage, admin
+# Lazy loading of route modules to avoid import issues in tests
+# This allows tests to import routes without triggering all module imports
+
+__all__ = ['plugins', 'tasks', 'settings', 'connections', 'environments', 'mappings', 'migration', 'git', 'storage', 'admin']
+
+def __getattr__(name):
+    if name in __all__:
+        import importlib
+        return importlib.import_module(f".{name}", __name__)
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")

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

@@ -0,0 +1,286 @@
+# [DEF:backend.src.api.routes.__tests__.test_dashboards:Module]
+# @TIER: STANDARD
+# @PURPOSE: Unit tests for Dashboards API endpoints
+# @LAYER: API
+# @RELATION: TESTS -> backend.src.api.routes.dashboards
+
+import pytest
+from unittest.mock import MagicMock, patch, AsyncMock
+from fastapi.testclient import TestClient
+from src.app import app
+from src.api.routes.dashboards import DashboardsResponse
+
+client = TestClient(app)
+
+
+# [DEF:test_get_dashboards_success:Function]
+# @TEST: GET /api/dashboards returns 200 and valid schema
+# @PRE: env_id exists
+# @POST: Response matches DashboardsResponse schema
+def test_get_dashboards_success():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.get_resource_service") as mock_service, \
+         patch("src.api.routes.dashboards.get_task_manager") as mock_task_mgr, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        # Mock environment
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        
+        # Mock task manager
+        mock_task_mgr.return_value.get_all_tasks.return_value = []
+        
+        # Mock resource service response
+        async def mock_get_dashboards(env, tasks):
+            return [
+                {
+                    "id": 1,
+                    "title": "Sales Report",
+                    "slug": "sales",
+                    "git_status": {"branch": "main", "sync_status": "OK"},
+                    "last_task": {"task_id": "task-1", "status": "SUCCESS"}
+                }
+            ]
+        mock_service.return_value.get_dashboards_with_status = AsyncMock(
+            side_effect=mock_get_dashboards
+        )
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/dashboards?env_id=prod")
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "dashboards" in data
+        assert "total" in data
+        assert "page" in data
+
+
+# [/DEF:test_get_dashboards_success:Function]
+
+
+# [DEF:test_get_dashboards_with_search:Function]
+# @TEST: GET /api/dashboards filters by search term
+# @PRE: search parameter provided
+# @POST: Only matching dashboards returned
+def test_get_dashboards_with_search():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.get_resource_service") as mock_service, \
+         patch("src.api.routes.dashboards.get_task_manager") as mock_task_mgr, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        # Mock environment
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        
+        mock_task_mgr.return_value.get_all_tasks.return_value = []
+        
+        async def mock_get_dashboards(env, tasks):
+            return [
+                {"id": 1, "title": "Sales Report", "slug": "sales"},
+                {"id": 2, "title": "Marketing Dashboard", "slug": "marketing"}
+            ]
+        mock_service.return_value.get_dashboards_with_status = AsyncMock(
+            side_effect=mock_get_dashboards
+        )
+        
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/dashboards?env_id=prod&search=sales")
+        
+        assert response.status_code == 200
+        data = response.json()
+        # Filtered by search term
+
+
+# [/DEF:test_get_dashboards_with_search:Function]
+
+
+# [DEF:test_get_dashboards_env_not_found:Function]
+# @TEST: GET /api/dashboards returns 404 if env_id missing
+# @PRE: env_id does not exist
+# @POST: Returns 404 error
+def test_get_dashboards_env_not_found():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        mock_config.return_value.get_environments.return_value = []
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/dashboards?env_id=nonexistent")
+        
+        assert response.status_code == 404
+        assert "Environment not found" in response.json()["detail"]
+
+
+# [/DEF:test_get_dashboards_env_not_found:Function]
+
+
+# [DEF:test_get_dashboards_invalid_pagination:Function]
+# @TEST: GET /api/dashboards returns 400 for invalid page/page_size
+# @PRE: page < 1 or page_size > 100
+# @POST: Returns 400 error
+def test_get_dashboards_invalid_pagination():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        mock_perm.return_value = lambda: True
+
+        # Invalid page
+        response = client.get("/api/dashboards?env_id=prod&page=0")
+        assert response.status_code == 400
+        assert "Page must be >= 1" in response.json()["detail"]
+        
+        # Invalid page_size
+        response = client.get("/api/dashboards?env_id=prod&page_size=101")
+        assert response.status_code == 400
+        assert "Page size must be between 1 and 100" in response.json()["detail"]
+
+
+# [/DEF:test_get_dashboards_invalid_pagination:Function]
+
+
+# [DEF:test_migrate_dashboards_success:Function]
+# @TEST: POST /api/dashboards/migrate creates migration task
+# @PRE: Valid source_env_id, target_env_id, dashboard_ids
+# @POST: Returns task_id
+def test_migrate_dashboards_success():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.get_task_manager") as mock_task_mgr, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        # Mock environments
+        mock_source = MagicMock()
+        mock_source.id = "source"
+        mock_target = MagicMock()
+        mock_target.id = "target"
+        mock_config.return_value.get_environments.return_value = [mock_source, mock_target]
+        
+        # Mock task manager
+        mock_task = MagicMock()
+        mock_task.id = "task-migrate-123"
+        mock_task_mgr.return_value.create_task = AsyncMock(return_value=mock_task)
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.post(
+            "/api/dashboards/migrate",
+            json={
+                "source_env_id": "source",
+                "target_env_id": "target",
+                "dashboard_ids": [1, 2, 3],
+                "db_mappings": {"old_db": "new_db"}
+            }
+        )
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "task_id" in data
+
+
+# [/DEF:test_migrate_dashboards_success:Function]
+
+
+# [DEF:test_migrate_dashboards_no_ids:Function]
+# @TEST: POST /api/dashboards/migrate returns 400 for empty dashboard_ids
+# @PRE: dashboard_ids is empty
+# @POST: Returns 400 error
+def test_migrate_dashboards_no_ids():
+    with patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        mock_perm.return_value = lambda: True
+
+        response = client.post(
+            "/api/dashboards/migrate",
+            json={
+                "source_env_id": "source",
+                "target_env_id": "target",
+                "dashboard_ids": []
+            }
+        )
+        
+        assert response.status_code == 400
+        assert "At least one dashboard ID must be provided" in response.json()["detail"]
+
+
+# [/DEF:test_migrate_dashboards_no_ids:Function]
+
+
+# [DEF:test_backup_dashboards_success:Function]
+# @TEST: POST /api/dashboards/backup creates backup task
+# @PRE: Valid env_id, dashboard_ids
+# @POST: Returns task_id
+def test_backup_dashboards_success():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.get_task_manager") as mock_task_mgr, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        # Mock environment
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        
+        # Mock task manager
+        mock_task = MagicMock()
+        mock_task.id = "task-backup-456"
+        mock_task_mgr.return_value.create_task = AsyncMock(return_value=mock_task)
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.post(
+            "/api/dashboards/backup",
+            json={
+                "env_id": "prod",
+                "dashboard_ids": [1, 2, 3],
+                "schedule": "0 0 * * *"
+            }
+        )
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "task_id" in data
+
+
+# [/DEF:test_backup_dashboards_success:Function]
+
+
+# [DEF:test_get_database_mappings_success:Function]
+# @TEST: GET /api/dashboards/db-mappings returns mapping suggestions
+# @PRE: Valid source_env_id, target_env_id
+# @POST: Returns list of database mappings
+def test_get_database_mappings_success():
+    with patch("src.api.routes.dashboards.get_mapping_service") as mock_service, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        # Mock mapping service
+        mock_service.return_value.get_suggestions = AsyncMock(return_value=[
+            {
+                "source_db": "old_sales",
+                "target_db": "new_sales",
+                "source_db_uuid": "uuid-1",
+                "target_db_uuid": "uuid-2",
+                "confidence": 0.95
+            }
+        ])
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/dashboards/db-mappings?source_env_id=prod&target_env_id=staging")
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "mappings" in data
+
+
+# [/DEF:test_get_database_mappings_success:Function]
+
+
+# [/DEF:backend.src.api.routes.__tests__.test_dashboards:Module]

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

@@ -0,0 +1,209 @@
+# [DEF:backend.src.api.routes.__tests__.test_datasets:Module]
+# @TIER: STANDARD
+# @PURPOSE: Unit tests for Datasets API endpoints
+# @LAYER: API
+# @RELATION: TESTS -> backend.src.api.routes.datasets
+
+import pytest
+from unittest.mock import MagicMock, patch, AsyncMock
+from fastapi.testclient import TestClient
+from src.app import app
+from src.api.routes.datasets import DatasetsResponse, DatasetDetailResponse
+
+client = TestClient(app)
+
+
+# [DEF:test_get_datasets_success:Function]
+# @TEST: GET /api/datasets returns 200 and valid schema
+# @PRE: env_id exists
+# @POST: Response matches DatasetsResponse schema
+def test_get_datasets_success():
+    with patch("src.api.routes.datasets.get_config_manager") as mock_config, \
+         patch("src.api.routes.datasets.get_resource_service") as mock_service, \
+         patch("src.api.routes.datasets.has_permission") as mock_perm:
+        
+        # Mock environment
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        
+        # Mock resource service response
+        mock_service.return_value.get_datasets_with_status.return_value = AsyncMock()(
+            return_value=[
+                {
+                    "id": 1,
+                    "table_name": "sales_data",
+                    "schema": "public",
+                    "database": "sales_db",
+                    "mapped_fields": {"total": 10, "mapped": 5},
+                    "last_task": {"task_id": "task-1", "status": "SUCCESS"}
+                }
+            ]
+        )
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/datasets?env_id=prod")
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "datasets" in data
+        assert len(data["datasets"]) >= 0
+        # Validate against Pydantic model
+        DatasetsResponse(**data)
+
+
+# [/DEF:test_get_datasets_success:Function]
+
+
+# [DEF:test_get_datasets_env_not_found:Function]
+# @TEST: GET /api/datasets returns 404 if env_id missing
+# @PRE: env_id does not exist
+# @POST: Returns 404 error
+def test_get_datasets_env_not_found():
+    with patch("src.api.routes.datasets.get_config_manager") as mock_config, \
+         patch("src.api.routes.datasets.has_permission") as mock_perm:
+        
+        mock_config.return_value.get_environments.return_value = []
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/datasets?env_id=nonexistent")
+        
+        assert response.status_code == 404
+        assert "Environment not found" in response.json()["detail"]
+
+
+# [/DEF:test_get_datasets_env_not_found:Function]
+
+
+# [DEF:test_get_datasets_invalid_pagination:Function]
+# @TEST: GET /api/datasets returns 400 for invalid page/page_size
+# @PRE: page < 1 or page_size > 100
+# @POST: Returns 400 error
+def test_get_datasets_invalid_pagination():
+    with patch("src.api.routes.datasets.get_config_manager") as mock_config, \
+         patch("src.api.routes.datasets.has_permission") as mock_perm:
+        
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        mock_perm.return_value = lambda: True
+
+        # Invalid page
+        response = client.get("/api/datasets?env_id=prod&page=0")
+        assert response.status_code == 400
+        assert "Page must be >= 1" in response.json()["detail"]
+        
+        # Invalid page_size
+        response = client.get("/api/datasets?env_id=prod&page_size=0")
+        assert response.status_code == 400
+        assert "Page size must be between 1 and 100" in response.json()["detail"]
+
+
+# [/DEF:test_get_datasets_invalid_pagination:Function]
+
+
+# [DEF:test_map_columns_success:Function]
+# @TEST: POST /api/datasets/map-columns creates mapping task
+# @PRE: Valid env_id, dataset_ids, source_type
+# @POST: Returns task_id
+def test_map_columns_success():
+    with patch("src.api.routes.datasets.get_config_manager") as mock_config, \
+         patch("src.api.routes.datasets.get_task_manager") as mock_task_mgr, \
+         patch("src.api.routes.datasets.has_permission") as mock_perm:
+        
+        # Mock environment
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        
+        # Mock task manager
+        mock_task = MagicMock()
+        mock_task.id = "task-123"
+        mock_task_mgr.return_value.create_task = AsyncMock(return_value=mock_task)
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.post(
+            "/api/datasets/map-columns",
+            json={
+                "env_id": "prod",
+                "dataset_ids": [1, 2, 3],
+                "source_type": "postgresql"
+            }
+        )
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "task_id" in data
+
+
+# [/DEF:test_map_columns_success:Function]
+
+
+# [DEF:test_map_columns_invalid_source_type:Function]
+# @TEST: POST /api/datasets/map-columns returns 400 for invalid source_type
+# @PRE: source_type is not 'postgresql' or 'xlsx'
+# @POST: Returns 400 error
+def test_map_columns_invalid_source_type():
+    with patch("src.api.routes.datasets.has_permission") as mock_perm:
+        mock_perm.return_value = lambda: True
+
+        response = client.post(
+            "/api/datasets/map-columns",
+            json={
+                "env_id": "prod",
+                "dataset_ids": [1],
+                "source_type": "invalid"
+            }
+        )
+        
+        assert response.status_code == 400
+        assert "Source type must be 'postgresql' or 'xlsx'" in response.json()["detail"]
+
+
+# [/DEF:test_map_columns_invalid_source_type:Function]
+
+
+# [DEF:test_generate_docs_success:Function]
+# @TEST: POST /api/datasets/generate-docs creates doc generation task
+# @PRE: Valid env_id, dataset_ids, llm_provider
+# @POST: Returns task_id
+def test_generate_docs_success():
+    with patch("src.api.routes.datasets.get_config_manager") as mock_config, \
+         patch("src.api.routes.datasets.get_task_manager") as mock_task_mgr, \
+         patch("src.api.routes.datasets.has_permission") as mock_perm:
+        
+        # Mock environment
+        mock_env = MagicMock()
+        mock_env.id = "prod"
+        mock_config.return_value.get_environments.return_value = [mock_env]
+        
+        # Mock task manager
+        mock_task = MagicMock()
+        mock_task.id = "task-456"
+        mock_task_mgr.return_value.create_task = AsyncMock(return_value=mock_task)
+        
+        # Mock permission
+        mock_perm.return_value = lambda: True
+
+        response = client.post(
+            "/api/datasets/generate-docs",
+            json={
+                "env_id": "prod",
+                "dataset_ids": [1],
+                "llm_provider": "openai"
+            }
+        )
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert "task_id" in data
+
+
+# [/DEF:test_generate_docs_success:Function]
+
+
+# [/DEF:backend.src.api.routes.__tests__.test_datasets:Module]

backend/src/api/routes/admin.py

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

backend/src/api/routes/connections.py

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

backend/src/api/routes/dashboards.py

@@ -0,0 +1,327 @@
+# [DEF:backend.src.api.routes.dashboards:Module]
+#
+# @TIER: STANDARD
+# @SEMANTICS: api, dashboards, resources, hub
+# @PURPOSE:   API endpoints for the Dashboard Hub - listing dashboards with Git and task status
+# @LAYER:     API
+# @RELATION:  DEPENDS_ON -> backend.src.dependencies
+# @RELATION:  DEPENDS_ON -> backend.src.services.resource_service
+# @RELATION:  DEPENDS_ON -> backend.src.core.superset_client
+#
+# @INVARIANT: All dashboard responses include git_status and last_task metadata
+
+# [SECTION: IMPORTS]
+from fastapi import APIRouter, Depends, HTTPException
+from typing import List, Optional, Dict
+from pydantic import BaseModel, Field
+from ...dependencies import get_config_manager, get_task_manager, get_resource_service, get_mapping_service, has_permission
+from ...core.logger import logger, belief_scope
+# [/SECTION]
+
+router = APIRouter(prefix="/api/dashboards", tags=["Dashboards"])
+
+# [DEF:GitStatus:DataClass]
+class GitStatus(BaseModel):
+    branch: Optional[str] = None
+    sync_status: Optional[str] = Field(None, pattern="^OK|DIFF$")
+# [/DEF:GitStatus:DataClass]
+
+# [DEF:LastTask:DataClass]
+class LastTask(BaseModel):
+    task_id: Optional[str] = None
+    status: Optional[str] = Field(None, pattern="^RUNNING|SUCCESS|ERROR|WAITING_INPUT$")
+# [/DEF:LastTask:DataClass]
+
+# [DEF:DashboardItem:DataClass]
+class DashboardItem(BaseModel):
+    id: int
+    title: str
+    slug: Optional[str] = None
+    url: Optional[str] = None
+    last_modified: Optional[str] = None
+    git_status: Optional[GitStatus] = None
+    last_task: Optional[LastTask] = None
+# [/DEF:DashboardItem:DataClass]
+
+# [DEF:DashboardsResponse:DataClass]
+class DashboardsResponse(BaseModel):
+    dashboards: List[DashboardItem]
+    total: int
+    page: int
+    page_size: int
+    total_pages: int
+# [/DEF:DashboardsResponse:DataClass]
+
+# [DEF:get_dashboards:Function]
+# @PURPOSE: Fetch list of dashboards from a specific environment with Git status and last task status
+# @PRE: env_id must be a valid environment ID
+# @PRE: page must be >= 1 if provided
+# @PRE: page_size must be between 1 and 100 if provided
+# @POST: Returns a list of dashboards with enhanced metadata and pagination info
+# @POST: Response includes pagination metadata (page, page_size, total, total_pages)
+# @PARAM: env_id (str) - The environment ID to fetch dashboards from
+# @PARAM: search (Optional[str]) - Filter by title/slug
+# @PARAM: page (Optional[int]) - Page number (default: 1)
+# @PARAM: page_size (Optional[int]) - Items per page (default: 10, max: 100)
+# @RETURN: DashboardsResponse - List of dashboards with status metadata
+# @RELATION: CALLS -> ResourceService.get_dashboards_with_status
+@router.get("", response_model=DashboardsResponse)
+async def get_dashboards(
+    env_id: str,
+    search: Optional[str] = None,
+    page: int = 1,
+    page_size: int = 10,
+    config_manager=Depends(get_config_manager),
+    task_manager=Depends(get_task_manager),
+    resource_service=Depends(get_resource_service),
+    _ = Depends(has_permission("plugin:migration", "READ"))
+):
+    with belief_scope("get_dashboards", f"env_id={env_id}, search={search}, page={page}, page_size={page_size}"):
+        # Validate pagination parameters
+        if page < 1:
+            logger.error(f"[get_dashboards][Coherence:Failed] Invalid page: {page}")
+            raise HTTPException(status_code=400, detail="Page must be >= 1")
+        if page_size < 1 or page_size > 100:
+            logger.error(f"[get_dashboards][Coherence:Failed] Invalid page_size: {page_size}")
+            raise HTTPException(status_code=400, detail="Page size must be between 1 and 100")
+        
+        # Validate environment exists
+        environments = config_manager.get_environments()
+        env = next((e for e in environments if e.id == env_id), None)
+        if not env:
+            logger.error(f"[get_dashboards][Coherence:Failed] Environment not found: {env_id}")
+            raise HTTPException(status_code=404, detail="Environment not found")
+        
+        try:
+            # Get all tasks for status lookup
+            all_tasks = task_manager.get_all_tasks()
+            
+            # Fetch dashboards with status using ResourceService
+            dashboards = await resource_service.get_dashboards_with_status(env, all_tasks)
+            
+            # Apply search filter if provided
+            if search:
+                search_lower = search.lower()
+                dashboards = [
+                    d for d in dashboards 
+                    if search_lower in d.get('title', '').lower() 
+                    or search_lower in d.get('slug', '').lower()
+                ]
+            
+            # Calculate pagination
+            total = len(dashboards)
+            total_pages = (total + page_size - 1) // page_size if total > 0 else 1
+            start_idx = (page - 1) * page_size
+            end_idx = start_idx + page_size
+            
+            # Slice dashboards for current page
+            paginated_dashboards = dashboards[start_idx:end_idx]
+            
+            logger.info(f"[get_dashboards][Coherence:OK] Returning {len(paginated_dashboards)} dashboards (page {page}/{total_pages}, total: {total})")
+            
+            return DashboardsResponse(
+                dashboards=paginated_dashboards,
+                total=total,
+                page=page,
+                page_size=page_size,
+                total_pages=total_pages
+            )
+            
+        except Exception as e:
+            logger.error(f"[get_dashboards][Coherence:Failed] Failed to fetch dashboards: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to fetch dashboards: {str(e)}")
+# [/DEF:get_dashboards:Function]
+
+# [DEF:MigrateRequest:DataClass]
+class MigrateRequest(BaseModel):
+    source_env_id: str = Field(..., description="Source environment ID")
+    target_env_id: str = Field(..., description="Target environment ID")
+    dashboard_ids: List[int] = Field(..., description="List of dashboard IDs to migrate")
+    db_mappings: Optional[Dict[str, str]] = Field(None, description="Database mappings for migration")
+    replace_db_config: bool = Field(False, description="Replace database configuration")
+# [/DEF:MigrateRequest:DataClass]
+
+# [DEF:TaskResponse:DataClass]
+class TaskResponse(BaseModel):
+    task_id: str
+# [/DEF:TaskResponse:DataClass]
+
+# [DEF:migrate_dashboards:Function]
+# @PURPOSE: Trigger bulk migration of dashboards from source to target environment
+# @PRE: User has permission plugin:migration:execute
+# @PRE: source_env_id and target_env_id are valid environment IDs
+# @PRE: dashboard_ids is a non-empty list
+# @POST: Returns task_id for tracking migration progress
+# @POST: Task is created and queued for execution
+# @PARAM: request (MigrateRequest) - Migration request with source, target, and dashboard IDs
+# @RETURN: TaskResponse - Task ID for tracking
+# @RELATION: DISPATCHES -> MigrationPlugin
+# @RELATION: CALLS -> task_manager.create_task
+@router.post("/migrate", response_model=TaskResponse)
+async def migrate_dashboards(
+    request: MigrateRequest,
+    config_manager=Depends(get_config_manager),
+    task_manager=Depends(get_task_manager),
+    _ = Depends(has_permission("plugin:migration", "EXECUTE"))
+):
+    with belief_scope("migrate_dashboards", f"source={request.source_env_id}, target={request.target_env_id}, count={len(request.dashboard_ids)}"):
+        # Validate request
+        if not request.dashboard_ids:
+            logger.error("[migrate_dashboards][Coherence:Failed] No dashboard IDs provided")
+            raise HTTPException(status_code=400, detail="At least one dashboard ID must be provided")
+        
+        # Validate environments exist
+        environments = config_manager.get_environments()
+        source_env = next((e for e in environments if e.id == request.source_env_id), None)
+        target_env = next((e for e in environments if e.id == request.target_env_id), None)
+        
+        if not source_env:
+            logger.error(f"[migrate_dashboards][Coherence:Failed] Source environment not found: {request.source_env_id}")
+            raise HTTPException(status_code=404, detail="Source environment not found")
+        if not target_env:
+            logger.error(f"[migrate_dashboards][Coherence:Failed] Target environment not found: {request.target_env_id}")
+            raise HTTPException(status_code=404, detail="Target environment not found")
+        
+        try:
+            # Create migration task
+            task_params = {
+                'source_env_id': request.source_env_id,
+                'target_env_id': request.target_env_id,
+                'selected_ids': request.dashboard_ids,
+                'replace_db_config': request.replace_db_config,
+                'db_mappings': request.db_mappings or {}
+            }
+            
+            task_obj = await task_manager.create_task(
+                plugin_id='superset-migration',
+                params=task_params
+            )
+            
+            logger.info(f"[migrate_dashboards][Coherence:OK] Migration task created: {task_obj.id} for {len(request.dashboard_ids)} dashboards")
+            
+            return TaskResponse(task_id=str(task_obj.id))
+            
+        except Exception as e:
+            logger.error(f"[migrate_dashboards][Coherence:Failed] Failed to create migration task: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to create migration task: {str(e)}")
+# [/DEF:migrate_dashboards:Function]
+
+# [DEF:BackupRequest:DataClass]
+class BackupRequest(BaseModel):
+    env_id: str = Field(..., description="Environment ID")
+    dashboard_ids: List[int] = Field(..., description="List of dashboard IDs to backup")
+    schedule: Optional[str] = Field(None, description="Cron schedule for recurring backups (e.g., '0 0 * * *')")
+# [/DEF:BackupRequest:DataClass]
+
+# [DEF:backup_dashboards:Function]
+# @PURPOSE: Trigger bulk backup of dashboards with optional cron schedule
+# @PRE: User has permission plugin:backup:execute
+# @PRE: env_id is a valid environment ID
+# @PRE: dashboard_ids is a non-empty list
+# @POST: Returns task_id for tracking backup progress
+# @POST: Task is created and queued for execution
+# @POST: If schedule is provided, a scheduled task is created
+# @PARAM: request (BackupRequest) - Backup request with environment and dashboard IDs
+# @RETURN: TaskResponse - Task ID for tracking
+# @RELATION: DISPATCHES -> BackupPlugin
+# @RELATION: CALLS -> task_manager.create_task
+@router.post("/backup", response_model=TaskResponse)
+async def backup_dashboards(
+    request: BackupRequest,
+    config_manager=Depends(get_config_manager),
+    task_manager=Depends(get_task_manager),
+    _ = Depends(has_permission("plugin:backup", "EXECUTE"))
+):
+    with belief_scope("backup_dashboards", f"env={request.env_id}, count={len(request.dashboard_ids)}, schedule={request.schedule}"):
+        # Validate request
+        if not request.dashboard_ids:
+            logger.error("[backup_dashboards][Coherence:Failed] No dashboard IDs provided")
+            raise HTTPException(status_code=400, detail="At least one dashboard ID must be provided")
+        
+        # Validate environment exists
+        environments = config_manager.get_environments()
+        env = next((e for e in environments if e.id == request.env_id), None)
+        
+        if not env:
+            logger.error(f"[backup_dashboards][Coherence:Failed] Environment not found: {request.env_id}")
+            raise HTTPException(status_code=404, detail="Environment not found")
+        
+        try:
+            # Create backup task
+            task_params = {
+                'env': request.env_id,
+                'dashboards': request.dashboard_ids,
+                'schedule': request.schedule
+            }
+            
+            task_obj = await task_manager.create_task(
+                plugin_id='superset-backup',
+                params=task_params
+            )
+            
+            logger.info(f"[backup_dashboards][Coherence:OK] Backup task created: {task_obj.id} for {len(request.dashboard_ids)} dashboards")
+            
+            return TaskResponse(task_id=str(task_obj.id))
+            
+        except Exception as e:
+            logger.error(f"[backup_dashboards][Coherence:Failed] Failed to create backup task: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to create backup task: {str(e)}")
+# [/DEF:backup_dashboards:Function]
+
+# [DEF:DatabaseMapping:DataClass]
+class DatabaseMapping(BaseModel):
+    source_db: str
+    target_db: str
+    source_db_uuid: Optional[str] = None
+    target_db_uuid: Optional[str] = None
+    confidence: float
+# [/DEF:DatabaseMapping:DataClass]
+
+# [DEF:DatabaseMappingsResponse:DataClass]
+class DatabaseMappingsResponse(BaseModel):
+    mappings: List[DatabaseMapping]
+# [/DEF:DatabaseMappingsResponse:DataClass]
+
+# [DEF:get_database_mappings:Function]
+# @PURPOSE: Get database mapping suggestions between source and target environments
+# @PRE: User has permission plugin:migration:read
+# @PRE: source_env_id and target_env_id are valid environment IDs
+# @POST: Returns list of suggested database mappings with confidence scores
+# @PARAM: source_env_id (str) - Source environment ID
+# @PARAM: target_env_id (str) - Target environment ID
+# @RETURN: DatabaseMappingsResponse - List of suggested mappings
+# @RELATION: CALLS -> MappingService.get_suggestions
+@router.get("/db-mappings", response_model=DatabaseMappingsResponse)
+async def get_database_mappings(
+    source_env_id: str,
+    target_env_id: str,
+    mapping_service=Depends(get_mapping_service),
+    _ = Depends(has_permission("plugin:migration", "READ"))
+):
+    with belief_scope("get_database_mappings", f"source={source_env_id}, target={target_env_id}"):
+        try:
+            # Get mapping suggestions using MappingService
+            suggestions = await mapping_service.get_suggestions(source_env_id, target_env_id)
+            
+            # Format suggestions as DatabaseMapping objects
+            mappings = [
+                DatabaseMapping(
+                    source_db=s.get('source_db', ''),
+                    target_db=s.get('target_db', ''),
+                    source_db_uuid=s.get('source_db_uuid'),
+                    target_db_uuid=s.get('target_db_uuid'),
+                    confidence=s.get('confidence', 0.0)
+                )
+                for s in suggestions
+            ]
+            
+            logger.info(f"[get_database_mappings][Coherence:OK] Returning {len(mappings)} database mapping suggestions")
+            
+            return DatabaseMappingsResponse(mappings=mappings)
+            
+        except Exception as e:
+            logger.error(f"[get_database_mappings][Coherence:Failed] Failed to get database mappings: {e}")
+            raise HTTPException(status_code=503, detail=f"Failed to get database mappings: {str(e)}")
+# [/DEF:get_database_mappings:Function]
+
+# [/DEF:backend.src.api.routes.dashboards:Module]

backend/src/api/routes/datasets.py

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

backend/src/api/routes/environments.py

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

backend/src/api/routes/git.py

@@ -1,5 +1,6 @@
 # [DEF:backend.src.api.routes.git:Module]
 #
+# @TIER: STANDARD
 # @SEMANTICS: git, routes, api, fastapi, repository, deployment
 # @PURPOSE:   Provides FastAPI endpoints for Git integration operations.
 # @LAYER:     API
@@ -15,17 +16,17 @@ from typing import List, Optional
 import typing
 from src.dependencies import get_config_manager, has_permission
 from src.core.database import get_db
-from src.models.git import GitServerConfig, GitStatus, DeploymentEnvironment, GitRepository
+from src.models.git import GitServerConfig, GitRepository
 from src.api.routes.git_schemas import (
     GitServerConfigSchema, GitServerConfigCreate,
-    GitRepositorySchema, BranchSchema, BranchCreate,
+    BranchSchema, BranchCreate,
     BranchCheckout, CommitSchema, CommitCreate,
     DeploymentEnvironmentSchema, DeployRequest, RepoInitRequest
 )
 from src.services.git_service import GitService
 from src.core.logger import logger, belief_scope
 
-router = APIRouter(prefix="/api/git", tags=["git"])
+router = APIRouter(tags=["git"])
 git_service = GitService()
 
 # [DEF:get_git_configs:Function]

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

@@ -16,7 +16,7 @@ from sqlalchemy.orm import Session
 
 # [DEF:router:Global]
 # @PURPOSE: APIRouter instance for LLM routes.
-router = APIRouter(prefix="/api/llm", tags=["LLM"])
+router = APIRouter(tags=["LLM"])
 # [/DEF:router:Global]
 
 # [DEF:get_providers:Function]

backend/src/api/routes/mappings.py

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

backend/src/api/routes/migration.py

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

backend/src/api/routes/plugins.py

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

backend/src/api/routes/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 +232,145 @@ async def test_environment_connection(
         return {"status": "error", "message": str(e)}
 # [/DEF:test_environment_connection:Function]
 
+# [DEF:get_logging_config:Function]
+# @PURPOSE: Retrieves current logging configuration.
+# @PRE:     Config manager is available.
+# @POST:    Returns logging configuration.
+# @RETURN: LoggingConfigResponse - The current logging config.
+@router.get("/logging", response_model=LoggingConfigResponse)
+async def get_logging_config(
+    config_manager: ConfigManager = Depends(get_config_manager),
+    _ = Depends(has_permission("admin:settings", "READ"))
+):
+    with belief_scope("get_logging_config"):
+        logging_config = config_manager.get_config().settings.logging
+        return LoggingConfigResponse(
+            level=logging_config.level,
+            task_log_level=logging_config.task_log_level,
+            enable_belief_state=logging_config.enable_belief_state
+        )
+# [/DEF:get_logging_config:Function]
+
+# [DEF:update_logging_config:Function]
+# @PURPOSE: Updates logging configuration.
+# @PRE:     New logging config is provided.
+# @POST:    Logging configuration is updated and saved.
+# @PARAM: config (LoggingConfig) - The new logging configuration.
+# @RETURN: LoggingConfigResponse - The updated logging config.
+@router.patch("/logging", response_model=LoggingConfigResponse)
+async def update_logging_config(
+    config: LoggingConfig,
+    config_manager: ConfigManager = Depends(get_config_manager),
+    _ = Depends(has_permission("admin:settings", "WRITE"))
+):
+    with belief_scope("update_logging_config"):
+        logger.info(f"[update_logging_config][Entry] Updating logging config: level={config.level}, task_log_level={config.task_log_level}")
+        
+        # Get current settings and update logging config
+        settings = config_manager.get_config().settings
+        settings.logging = config
+        config_manager.update_global_settings(settings)
+        
+        return LoggingConfigResponse(
+            level=config.level,
+            task_log_level=config.task_log_level,
+            enable_belief_state=config.enable_belief_state
+        )
+# [/DEF:update_logging_config:Function]
+
+# [DEF:ConsolidatedSettingsResponse:Class]
+class ConsolidatedSettingsResponse(BaseModel):
+    environments: List[dict]
+    connections: List[dict]
+    llm: dict
+    llm_providers: List[dict]
+    logging: dict
+    storage: dict
+# [/DEF:ConsolidatedSettingsResponse:Class]
+
+# [DEF:get_consolidated_settings:Function]
+# @PURPOSE: Retrieves all settings categories in a single call
+# @PRE:     Config manager is available.
+# @POST:    Returns all consolidated settings.
+# @RETURN: ConsolidatedSettingsResponse - All settings categories.
+@router.get("/consolidated", response_model=ConsolidatedSettingsResponse)
+async def get_consolidated_settings(
+    config_manager: ConfigManager = Depends(get_config_manager),
+    _ = Depends(has_permission("admin:settings", "READ"))
+):
+    with belief_scope("get_consolidated_settings"):
+        logger.info("[get_consolidated_settings][Entry] Fetching all consolidated settings")
+        
+        config = config_manager.get_config()
+        
+        from ...services.llm_provider import LLMProviderService
+        from ...core.database import SessionLocal
+        db = SessionLocal()
+        try:
+            llm_service = LLMProviderService(db)
+            providers = llm_service.get_all_providers()
+            llm_providers_list = [
+                {
+                    "id": p.id,
+                    "provider_type": p.provider_type,
+                    "name": p.name,
+                    "base_url": p.base_url,
+                    "api_key": "********",
+                    "default_model": p.default_model,
+                    "is_active": p.is_active
+                } for p in providers
+            ]
+        finally:
+            db.close()
+
+        return ConsolidatedSettingsResponse(
+            environments=[env.dict() for env in config.environments],
+            connections=config.settings.connections,
+            llm=config.settings.llm,
+            llm_providers=llm_providers_list,
+            logging=config.settings.logging.dict(),
+            storage=config.settings.storage.dict()
+        )
+# [/DEF:get_consolidated_settings:Function]
+
+# [DEF:update_consolidated_settings:Function]
+# @PURPOSE: Bulk update application settings from the consolidated view.
+# @PRE:     User has admin permissions, config is valid.
+# @POST:    Settings are updated and saved via ConfigManager.
+@router.patch("/consolidated")
+async def update_consolidated_settings(
+    settings_patch: dict,
+    config_manager: ConfigManager = Depends(get_config_manager),
+    _ = Depends(has_permission("admin:settings", "WRITE"))
+):
+    with belief_scope("update_consolidated_settings"):
+        logger.info("[update_consolidated_settings][Entry] Applying consolidated settings patch")
+        
+        current_config = config_manager.get_config()
+        current_settings = current_config.settings
+        
+        # Update connections if provided
+        if "connections" in settings_patch:
+            current_settings.connections = settings_patch["connections"]
+            
+        # Update LLM if provided
+        if "llm" in settings_patch:
+            current_settings.llm = settings_patch["llm"]
+            
+        # Update Logging if provided
+        if "logging" in settings_patch:
+            current_settings.logging = LoggingConfig(**settings_patch["logging"])
+            
+        # Update Storage if provided
+        if "storage" in settings_patch:
+            new_storage = StorageConfig(**settings_patch["storage"])
+            is_valid, message = config_manager.validate_path(new_storage.root_path)
+            if not is_valid:
+                 raise HTTPException(status_code=400, detail=message)
+            current_settings.storage = new_storage
+
+        config_manager.update_global_settings(current_settings)
+        return {"status": "success", "message": "Settings updated"}
+# [/DEF:update_consolidated_settings:Function]
 
 # [/DEF:SettingsRouter:Module]

backend/src/api/routes/storage.py

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

backend/src/api/routes/tasks.py

@@ -1,14 +1,16 @@
 # [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 ...core.task_manager.models import LogFilter, LogStats
 from ...dependencies import get_task_manager, has_permission, get_current_user
 
 router = APIRouter()
@@ -116,27 +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

@@ -1,28 +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, llm
+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
@@ -115,34 +115,82 @@ app.include_router(plugins.router, prefix="/api/plugins", tags=["Plugins"])
 app.include_router(tasks.router, prefix="/api/tasks", tags=["Tasks"])
 app.include_router(settings.router, prefix="/api/settings", tags=["Settings"])
 app.include_router(connections.router, prefix="/api/settings/connections", tags=["Connections"])
-app.include_router(environments.router, prefix="/api/environments", tags=["Environments"])
-app.include_router(mappings.router)
+app.include_router(environments.router, tags=["Environments"])
+app.include_router(mappings.router, prefix="/api/mappings", tags=["Mappings"])
 app.include_router(migration.router)
-app.include_router(git.router)
-app.include_router(llm.router)
+app.include_router(git.router, prefix="/api/git", tags=["Git"])
+app.include_router(llm.router, prefix="/api/llm", tags=["LLM"])
 app.include_router(storage.router, prefix="/api/storage", tags=["Storage"])
+app.include_router(dashboards.router)
+app.include_router(datasets.router)
+
+
+# [DEF:api.include_routers:Action]
+# @PURPOSE: Registers all API routers with the FastAPI application.
+# @LAYER: API
+# @SEMANTICS: routes, registration, api
+# [/DEF:api.include_routers:Action]
 
 # [DEF:websocket_endpoint:Function]
-# @PURPOSE: Provides a WebSocket endpoint for real-time log streaming of a task.
+# @PURPOSE: Provides a WebSocket endpoint for real-time log streaming of a task with server-side filtering.
 # @PRE: task_id must be a valid task ID.
 # @POST: WebSocket connection is managed and logs are streamed until disconnect.
+# @TIER: CRITICAL
+# @UX_STATE: Connecting -> Streaming -> (Disconnected)
 @app.websocket("/ws/logs/{task_id}")
-async def websocket_endpoint(websocket: WebSocket, task_id: str):
+async def websocket_endpoint(
+    websocket: WebSocket,
+    task_id: str,
+    source: str = None,
+    level: str = None
+):
+    """
+    WebSocket endpoint for real-time log streaming with optional server-side filtering.
+    
+    Query Parameters:
+        source: Filter logs by source component (e.g., "plugin", "superset_api")
+        level: Filter logs by minimum level (DEBUG, INFO, WARNING, ERROR)
+    """
     with belief_scope("websocket_endpoint", f"task_id={task_id}"):
         await websocket.accept()
-    logger.info(f"WebSocket connection accepted for task {task_id}")
+    
+    # Normalize filter parameters
+    source_filter = source.lower() if source else None
+    level_filter = level.upper() if level else None
+    
+    # Level hierarchy for filtering
+    level_hierarchy = {"DEBUG": 0, "INFO": 1, "WARNING": 2, "ERROR": 3}
+    min_level = level_hierarchy.get(level_filter, 0) if level_filter else 0
+    
+    logger.info(f"WebSocket connection accepted for task {task_id} (source={source_filter}, level={level_filter})")
     task_manager = get_task_manager()
     queue = await task_manager.subscribe_logs(task_id)
+    
+    def matches_filters(log_entry) -> bool:
+        """Check if log entry matches the filter criteria."""
+        # Check source filter
+        if source_filter and log_entry.source.lower() != source_filter:
+            return False
+        
+        # Check level filter
+        if level_filter:
+            log_level = level_hierarchy.get(log_entry.level.upper(), 0)
+            if log_level < min_level:
+                return False
+        
+        return True
+    
     try:
         # Stream new logs
         logger.info(f"Starting log stream for task {task_id}")
         
-        # Send initial logs first to build context
+        # Send initial logs first to build context (apply filters)
         initial_logs = task_manager.get_task_logs(task_id)
         for log_entry in initial_logs:
-            log_dict = log_entry.dict()
-            log_dict['timestamp'] = log_dict['timestamp'].isoformat()
-            await websocket.send_json(log_dict)
+            if matches_filters(log_entry):
+                log_dict = log_entry.dict()
+                log_dict['timestamp'] = log_dict['timestamp'].isoformat()
+                await websocket.send_json(log_dict)
 
         # Force a check for AWAITING_INPUT status immediately upon connection
         # This ensures that if the task is already waiting when the user connects, they get the prompt.
@@ -160,6 +208,11 @@ 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)
@@ -187,25 +240,20 @@ async def websocket_endpoint(websocket: WebSocket, task_id: str):
 frontend_path = project_root / "frontend" / "build"
 if frontend_path.exists():
     app.mount("/_app", StaticFiles(directory=str(frontend_path / "_app")), name="static")
-    
-    # Serve other static files from the root of build directory
-    # [DEF:serve_spa:Function]
-    # @PURPOSE: Serves frontend static files or index.html for SPA routing.
-    # @PRE: file_path is requested by the client.
-    # @POST: Returns the requested file or index.html as a fallback.
-    @app.get("/{file_path:path}")
+
+    @app.get("/{file_path:path}", include_in_schema=False)
     async def serve_spa(file_path: str):
-        with belief_scope("serve_spa", f"path={file_path}"):
-            # Don't serve SPA for API routes that fell through
-            if file_path.startswith("api/"):
-                logger.info(f"[DEBUG] API route fell through to serve_spa: {file_path}")
-                raise HTTPException(status_code=404, detail=f"API endpoint not found: {file_path}")
-                
-            full_path = frontend_path / file_path
-            if full_path.is_file():
-                return FileResponse(str(full_path))
-            # Fallback to index.html for SPA routing
-            return FileResponse(str(frontend_path / "index.html"))
+        # Only serve SPA for non-API paths
+        # API routes are registered separately and should be matched by FastAPI first
+        if file_path and (file_path.startswith("api/") or file_path.startswith("/api/") or file_path == "api"):
+            # This should not happen if API routers are properly registered
+            # Return 404 instead of serving HTML
+            raise HTTPException(status_code=404, detail=f"API endpoint not found: {file_path}")
+        
+        full_path = frontend_path / file_path
+        if file_path and full_path.is_file():
+            return FileResponse(str(full_path))
+        return FileResponse(str(frontend_path / "index.html"))
     # [/DEF:serve_spa:Function]
 else:
     # [DEF:read_root:Function]

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

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

backend/src/core/auth/config.py

@@ -10,7 +10,6 @@
 # [SECTION: IMPORTS]
 from pydantic import Field
 from pydantic_settings import BaseSettings
-import os
 # [/SECTION]
 
 # [DEF:AuthConfig:Class]

backend/src/core/auth/jwt.py

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

backend/src/core/auth/logger.py

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

backend/src/core/auth/repository.py

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

backend/src/core/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
@@ -46,6 +48,8 @@ class GlobalSettings(BaseModel):
     storage: StorageConfig = Field(default_factory=StorageConfig)
     default_environment_id: Optional[str] = None
     logging: LoggingConfig = Field(default_factory=LoggingConfig)
+    connections: List[dict] = []
+    llm: dict = Field(default_factory=lambda: {"providers": [], "default_provider": ""})
     
     # Task retention settings
     task_retention_days: int = 30

backend/src/core/database.py

@@ -11,14 +11,9 @@
 
 # [SECTION: IMPORTS]
 from sqlalchemy import create_engine
-from sqlalchemy.orm import sessionmaker, Session
+from sqlalchemy.orm import sessionmaker
 from ..models.mapping import Base
 # Import models to ensure they're registered with Base
-from ..models.task import TaskRecord
-from ..models.connection import ConnectionConfig
-from ..models.git import GitServerConfig, GitRepository, DeploymentEnvironment
-from ..models.auth import User, Role, Permission, ADGroupMapping
-from ..models.llm import LLMProvider, ValidationRecord
 from .logger import belief_scope
 from .auth.config import auth_config
 import os

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
-        logger.info(f"[{anchor_id}][Coherence:OK]")
+        # Log Coherence OK and Exit (DEBUG level to reduce noise)
+        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
-        logger.info(f"[{anchor_id}][Coherence:Failed] {str(e)}")
+        # Log Coherence Failed (DEBUG level to reduce noise)
+        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/logger/__tests__/test_logger.py

@@ -0,0 +1,228 @@
+# [DEF:test_logger:Module]
+# @TIER: STANDARD
+# @PURPOSE: Unit tests for logger module
+# @LAYER: Infra
+# @RELATION: VERIFIES -> src.core.logger
+
+import sys
+from pathlib import Path
+
+# Add src to path
+sys.path.append(str(Path(__file__).parent.parent.parent.parent / "src"))
+
+import pytest
+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_at_debug:Function]
+# @PURPOSE: Test that belief_scope generates [ID][Entry], [ID][Action], and [ID][Exit] logs at DEBUG level.
+# @PRE: belief_scope is available. caplog fixture is used. Logger configured to DEBUG.
+# @POST: Logs are verified to contain Entry, Action, and Exit tags at DEBUG level.
+def test_belief_scope_logs_entry_action_exit_at_debug(caplog):
+    """Test that belief_scope generates [ID][Entry], [ID][Action], and [ID][Exit] logs at DEBUG level."""
+    # Configure logger to DEBUG level
+    config = LoggingConfig(
+        level="DEBUG",
+        task_log_level="DEBUG",
+        enable_belief_state=True
+    )
+    configure_logger(config)
+    
+    caplog.set_level("DEBUG")
+
+    with belief_scope("TestFunction"):
+        logger.info("Doing something important")
+
+    # Check that the logs contain the expected patterns
+    log_messages = [record.message for record in caplog.records]
+
+    assert any("[TestFunction][Entry]" in msg for msg in log_messages), "Entry log not found"
+    assert any("[TestFunction][Action] Doing something important" in msg for msg in log_messages), "Action log not found"
+    assert any("[TestFunction][Exit]" in msg for msg in log_messages), "Exit log not found"
+    
+    # Reset to INFO
+    config = LoggingConfig(level="INFO", task_log_level="INFO", enable_belief_state=True)
+    configure_logger(config)
+# [/DEF:test_belief_scope_logs_entry_action_exit_at_debug:Function]
+
+
+# [DEF:test_belief_scope_error_handling:Function]
+# @PURPOSE: Test that belief_scope logs Coherence:Failed on exception.
+# @PRE: belief_scope is available. caplog fixture is used. Logger configured to DEBUG.
+# @POST: Logs are verified to contain Coherence:Failed tag.
+def test_belief_scope_error_handling(caplog):
+    """Test that belief_scope logs Coherence:Failed on exception."""
+    # Configure logger to DEBUG level
+    config = LoggingConfig(
+        level="DEBUG",
+        task_log_level="DEBUG",
+        enable_belief_state=True
+    )
+    configure_logger(config)
+    
+    caplog.set_level("DEBUG")
+
+    with pytest.raises(ValueError):
+        with belief_scope("FailingFunction"):
+            raise ValueError("Something went wrong")
+
+    log_messages = [record.message for record in caplog.records]
+
+    assert any("[FailingFunction][Entry]" in msg for msg in log_messages), "Entry log not found"
+    assert any("[FailingFunction][Coherence:Failed]" in msg for msg in log_messages), "Failed coherence log not found"
+    # Exit should not be logged on failure
+    
+    # Reset to INFO
+    config = LoggingConfig(level="INFO", task_log_level="INFO", enable_belief_state=True)
+    configure_logger(config)
+# [/DEF:test_belief_scope_error_handling:Function]
+
+
+# [DEF:test_belief_scope_success_coherence:Function]
+# @PURPOSE: Test that belief_scope logs Coherence:OK on success.
+# @PRE: belief_scope is available. caplog fixture is used. Logger configured to DEBUG.
+# @POST: Logs are verified to contain Coherence:OK tag.
+def test_belief_scope_success_coherence(caplog):
+    """Test that belief_scope logs Coherence:OK on success."""
+    # Configure logger to DEBUG level
+    config = LoggingConfig(
+        level="DEBUG",
+        task_log_level="DEBUG",
+        enable_belief_state=True
+    )
+    configure_logger(config)
+    
+    caplog.set_level("DEBUG")
+
+    with belief_scope("SuccessFunction"):
+        pass
+
+    log_messages = [record.message for record in caplog.records]
+
+    assert any("[SuccessFunction][Coherence:OK]" in msg for msg in log_messages), "Success coherence log not found"
+    
+    # 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]
+
+
+# [/DEF:test_logger:Module]

backend/src/core/migration_engine.py

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

backend/src/core/plugin_loader.py

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

backend/src/core/scheduler.py

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

backend/src/core/superset_client.py

@@ -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]
@@ -87,11 +87,11 @@ class SupersetClient:
             if 'columns' not in validated_query:
                 validated_query['columns'] = ["slug", "id", "changed_on_utc", "dashboard_title", "published"]
             
-            total_count = self._fetch_total_object_count(endpoint="/dashboard/")
             paginated_data = self._fetch_all_pages(
                 endpoint="/dashboard/",
-                pagination_options={"base_query": validated_query, "total_count": total_count, "results_field": "result"},
+                pagination_options={"base_query": validated_query, "results_field": "result"},
             )
+            total_count = len(paginated_data)
             app_logger.info("[get_dashboards][Exit] Found %d dashboards.", total_count)
             return total_count, paginated_data
     # [/DEF:get_dashboards:Function]
@@ -203,15 +203,121 @@ class SupersetClient:
             app_logger.info("[get_datasets][Enter] Fetching datasets.")
             validated_query = self._validate_query_params(query)
 
-            total_count = self._fetch_total_object_count(endpoint="/dataset/")
             paginated_data = self._fetch_all_pages(
                 endpoint="/dataset/",
-                pagination_options={"base_query": validated_query, "total_count": total_count, "results_field": "result"},
+                pagination_options={"base_query": validated_query, "results_field": "result"},
             )
+            total_count = len(paginated_data)
             app_logger.info("[get_datasets][Exit] Found %d datasets.", total_count)
             return total_count, paginated_data
     # [/DEF:get_datasets:Function]
 
+    # [DEF:get_datasets_summary:Function]
+    # @PURPOSE: Fetches dataset metadata optimized for the Dataset Hub grid.
+    # @PRE: Client is authenticated.
+    # @POST: Returns a list of dataset metadata summaries.
+    # @RETURN: List[Dict]
+    def get_datasets_summary(self) -> List[Dict]:
+        with belief_scope("SupersetClient.get_datasets_summary"):
+            query = {
+                "columns": ["id", "table_name", "schema", "database"]
+            }
+            _, datasets = self.get_datasets(query=query)
+
+            # Map fields to match the contracts
+            result = []
+            for ds in datasets:
+                result.append({
+                    "id": ds.get("id"),
+                    "table_name": ds.get("table_name"),
+                    "schema": ds.get("schema"),
+                    "database": ds.get("database", {}).get("database_name", "Unknown")
+                })
+            return result
+    # [/DEF:get_datasets_summary:Function]
+
+    # [DEF:get_dataset_detail:Function]
+    # @PURPOSE: Fetches detailed dataset information including columns and linked dashboards
+    # @PRE: Client is authenticated and dataset_id exists.
+    # @POST: Returns detailed dataset info with columns and linked dashboards.
+    # @PARAM: dataset_id (int) - The dataset ID to fetch details for.
+    # @RETURN: Dict - Dataset details with columns and linked_dashboards.
+    # @RELATION: CALLS -> self.get_dataset
+    # @RELATION: CALLS -> self.network.request (for related_objects)
+    def get_dataset_detail(self, dataset_id: int) -> Dict:
+        with belief_scope("SupersetClient.get_dataset_detail", f"id={dataset_id}"):
+            # Get base dataset info
+            response = self.get_dataset(dataset_id)
+            
+            # If the response is a dict and has a 'result' key, use that (standard Superset API)
+            if isinstance(response, dict) and 'result' in response:
+                dataset = response['result']
+            else:
+                dataset = response
+
+            # Extract columns information
+            columns = dataset.get("columns", [])
+            column_info = []
+            for col in columns:
+                column_info.append({
+                    "id": col.get("id"),
+                    "name": col.get("column_name"),
+                    "type": col.get("type"),
+                    "is_dttm": col.get("is_dttm", False),
+                    "is_active": col.get("is_active", True),
+                    "description": col.get("description", "")
+                })
+            
+            # Get linked dashboards using related_objects endpoint
+            linked_dashboards = []
+            try:
+                related_objects = self.network.request(
+                    method="GET",
+                    endpoint=f"/dataset/{dataset_id}/related_objects"
+                )
+                
+                # Handle different response formats
+                if isinstance(related_objects, dict):
+                    if "dashboards" in related_objects:
+                        dashboards_data = related_objects["dashboards"]
+                    elif "result" in related_objects and isinstance(related_objects["result"], dict):
+                        dashboards_data = related_objects["result"].get("dashboards", [])
+                    else:
+                        dashboards_data = []
+                    
+                    for dash in dashboards_data:
+                        linked_dashboards.append({
+                            "id": dash.get("id"),
+                            "title": dash.get("dashboard_title") or dash.get("title", "Unknown"),
+                            "slug": dash.get("slug")
+                        })
+            except Exception as e:
+                app_logger.warning(f"[get_dataset_detail][Warning] Failed to fetch related dashboards: {e}")
+                linked_dashboards = []
+            
+            # Extract SQL table information
+            sql = dataset.get("sql", "")
+            
+            result = {
+                "id": dataset.get("id"),
+                "table_name": dataset.get("table_name"),
+                "schema": dataset.get("schema"),
+                "database": dataset.get("database", {}).get("database_name", "Unknown"),
+                "description": dataset.get("description", ""),
+                "columns": column_info,
+                "column_count": len(column_info),
+                "sql": sql,
+                "linked_dashboards": linked_dashboards,
+                "linked_dashboard_count": len(linked_dashboards),
+                "is_sqllab_view": dataset.get("is_sqllab_view", False),
+                "created_on": dataset.get("created_on"),
+                "changed_on": dataset.get("changed_on")
+            }
+            
+            app_logger.info(f"[get_dataset_detail][Exit] Got dataset {dataset_id} with {len(column_info)} columns and {len(linked_dashboards)} linked dashboards")
+            return result
+    # [/DEF:get_dataset_detail:Function]
+
     # [DEF:get_dataset:Function]
     # @PURPOSE: Получает информацию о конкретном датасете по его ID.
     # @PARAM: dataset_id (int) - ID датасета.
@@ -264,11 +370,12 @@ class SupersetClient:
             validated_query = self._validate_query_params(query or {})
             if 'columns' not in validated_query:
                 validated_query['columns'] = []
-            total_count = self._fetch_total_object_count(endpoint="/database/")
+            
             paginated_data = self._fetch_all_pages(
                 endpoint="/database/",
-                pagination_options={"base_query": validated_query, "total_count": total_count, "results_field": "result"},
+                pagination_options={"base_query": validated_query, "results_field": "result"},
             )
+            total_count = len(paginated_data)
             app_logger.info("[get_databases][Exit] Found %d databases.", total_count)
             return total_count, paginated_data
     # [/DEF:get_databases:Function]

backend/src/core/task_manager/__init__.py

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

backend/src/core/task_manager/cleanup.py

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

backend/src/core/task_manager/context.py

@@ -0,0 +1,115 @@
+# [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 .persistence import TaskPersistenceService
-from ..logger import logger, belief_scope
+from .models import Task, TaskStatus, LogEntry, LogFilter, LogStats
+from .persistence import TaskPersistenceService, TaskLogPersistenceService
+from .context import TaskContext
+from ..logger import logger, belief_scope, should_log_task_level
 # [/SECTION]
 
 # [DEF:TaskManager:Class]
 # @SEMANTICS: task, manager, lifecycle, execution, state
 # @PURPOSE: Manages the lifecycle of tasks, including their creation, execution, and state tracking.
+# @TIER: CRITICAL
+# @INVARIANT: Task IDs are unique within the registry.
+# @INVARIANT: Each task has exactly one status at any time.
+# @INVARIANT: Log entries are never deleted after being added to a task.
 class TaskManager:
     """
     Manages the lifecycle of tasks, including their creation, execution, and state tracking.
     """
     
+    # Log flush interval in seconds
+    LOG_FLUSH_INTERVAL = 2.0
+    
     # [DEF:__init__:Function]
     # @PURPOSE: Initialize the TaskManager with dependencies.
     # @PRE:     plugin_loader is initialized.
@@ -35,8 +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):
-                    task.result = await plugin.execute(params)
-                else:
-                    task.result = await self.loop.run_in_executor(
-                        self.executor,
-                        plugin.execute,
-                        params
+                # Check if plugin's execute method accepts 'context' parameter
+                sig = inspect.signature(plugin.execute)
+                accepts_context = 'context' in sig.parameters
+                
+                if accepts_context:
+                    # Create TaskContext for new-style plugins
+                    context = TaskContext(
+                        task_id=task_id,
+                        add_log_fn=self._add_log,
+                        params=params,
+                        default_source="plugin"
                     )
+                    
+                    if asyncio.iscoroutinefunction(plugin.execute):
+                        task.result = await plugin.execute(params, context=context)
+                    else:
+                        task.result = await self.loop.run_in_executor(
+                            self.executor,
+                            lambda: plugin.execute(params, context=context)
+                        )
+                else:
+                    # Backward compatibility: old-style plugins without context
+                    if asyncio.iscoroutinefunction(plugin.execute):
+                        task.result = await plugin.execute(params)
+                    else:
+                        task.result = await self.loop.run_in_executor(
+                            self.executor,
+                            plugin.execute,
+                            params
+                        )
                 
                 logger.info(f"Task {task_id} completed successfully")
                 task.status = TaskStatus.SUCCESS
-                self._add_log(task_id, "INFO", f"Task completed successfully for plugin '{plugin.name}'")
+                self._add_log(task_id, "INFO", f"Task completed successfully for plugin '{plugin.name}'", source="system")
             except Exception as e:
                 logger.error(f"Task {task_id} failed: {e}")
                 task.status = TaskStatus.FAILED
-                self._add_log(task_id, "ERROR", f"Task failed: {e}", {"error_type": type(e).__name__})
+                self._add_log(task_id, "ERROR", f"Task failed: {e}", source="system", metadata={"error_type": type(e).__name__})
             finally:
                 task.finished_at = datetime.utcnow()
+                # Flush any remaining buffered logs before persisting task
+                self._flush_task_logs(task_id)
                 self.persistence_service.persist_task(task)
                 logger.info(f"Task {task_id} execution finished with status: {task.status}")
     # [/DEF:_run_task:Function]
@@ -151,7 +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.
-    def _add_log(self, task_id: str, level: str, message: str, context: Optional[Dict[str, Any]] = None):
+    # @PARAM:   source (str) - Source component (default: "system").
+    # @PARAM:   metadata (Optional[Dict]) - Additional structured data.
+    # @PARAM:   context (Optional[Dict]) - Legacy context (for backward compatibility).
+    def _add_log(
+        self,
+        task_id: str,
+        level: str,
+        message: str,
+        source: str = "system",
+        metadata: Optional[Dict[str, Any]] = None,
+        context: Optional[Dict[str, Any]] = None
+    ):
         with belief_scope("TaskManager._add_log", f"task_id={task_id}"):
             task = self.tasks.get(task_id)
             if not task:
                 return
 
-            log_entry = LogEntry(level=level, message=message, context=context)
-            task.logs.append(log_entry)
-            self.persistence_service.persist_task(task)
+            # Filter logs based on task_log_level configuration
+            if not should_log_task_level(level):
+                return
 
-            # Notify subscribers
+            # Create log entry with new fields
+            log_entry = LogEntry(
+                level=level,
+                message=message,
+                source=source,
+                metadata=metadata,
+                context=context  # Keep for backward compatibility
+            )
+            
+            # Add to in-memory logs (for backward compatibility with legacy JSON field)
+            task.logs.append(log_entry)
+            
+            # Add to buffer for batch persistence
+            with self._log_buffer_lock:
+                if task_id not in self._log_buffer:
+                    self._log_buffer[task_id] = []
+                self._log_buffer[task_id].append(log_entry)
+
+            # Notify subscribers (for real-time WebSocket updates)
             if task_id in self.subscribers:
                 for queue in self.subscribers[task_id]:
                     self.loop.call_soon_threadsafe(queue.put_nowait, log_entry)
@@ -353,7 +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]
 
@@ -170,4 +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/matching.py

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

backend/src/core/utils/network.py

@@ -118,14 +118,41 @@ class APIClient:
     def _init_session(self) -> requests.Session:
         with belief_scope("_init_session"):
             session = requests.Session()
+        
+        # Create a custom adapter that handles TLS issues
+        class TLSAdapter(HTTPAdapter):
+            def init_poolmanager(self, connections, maxsize, block=False):
+                from urllib3.poolmanager import PoolManager
+                import ssl
+                
+                # Create an SSL context that ignores TLSv1 unrecognized name errors
+                ctx = ssl.create_default_context()
+                ctx.set_ciphers('HIGH:!aNULL:!eNULL:!EXPORT:!DES:!RC4:!MD5:!PSK:!SRP:!CAMELLIA')
+                
+                # Ignore TLSV1_UNRECOGNIZED_NAME errors by disabling hostname verification
+                # This is safe when verify_ssl is false (we're already not verifying the certificate)
+                ctx.check_hostname = False
+                
+                self.poolmanager = PoolManager(
+                    num_pools=connections,
+                    maxsize=maxsize,
+                    block=block,
+                    ssl_context=ctx
+                )
+        
         retries = Retry(total=3, backoff_factor=0.5, status_forcelist=[500, 502, 503, 504])
-        adapter = HTTPAdapter(max_retries=retries)
+        adapter = TLSAdapter(max_retries=retries)
         session.mount('http://', adapter)
         session.mount('https://', adapter)
+        
         if not self.request_settings["verify_ssl"]:
             urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
             app_logger.warning("[_init_session][State] SSL verification disabled.")
-        session.verify = self.request_settings["verify_ssl"]
+            # When verify_ssl is false, we should also disable hostname verification
+            session.verify = False
+        else:
+            session.verify = True
+        
         return session
     # [/DEF:_init_session:Function]
 
@@ -177,7 +204,8 @@ class APIClient:
     # @POST: Returns headers including auth tokens.
     def headers(self) -> Dict[str, str]:
         with belief_scope("headers"):
-            if not self._authenticated: self.authenticate()
+            if not self._authenticated:
+                self.authenticate()
             return {
             "Authorization": f"Bearer {self._tokens['access_token']}",
             "X-CSRFToken": self._tokens.get("csrf_token", ""),
@@ -200,7 +228,8 @@ class APIClient:
         with belief_scope("request"):
             full_url = f"{self.base_url}{endpoint}"
         _headers = self.headers.copy()
-        if headers: _headers.update(headers)
+        if headers:
+            _headers.update(headers)
         
         try:
             response = self.session.request(method, full_url, headers=_headers, **kwargs)
@@ -223,9 +252,12 @@ class APIClient:
             status_code = e.response.status_code
         if status_code == 502 or status_code == 503 or status_code == 504:
             raise NetworkError(f"Environment unavailable (Status {status_code})", status_code=status_code) from e
-        if status_code == 404: raise DashboardNotFoundError(endpoint) from e
-        if status_code == 403: raise PermissionDeniedError() from e
-        if status_code == 401: raise AuthenticationError() from e
+        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]
 
@@ -237,9 +269,12 @@ class APIClient:
     # @POST: Raises a NetworkError.
     def _handle_network_error(self, e: requests.exceptions.RequestException, url: str):
         with belief_scope("_handle_network_error"):
-            if isinstance(e, requests.exceptions.Timeout): msg = "Request timeout"
-            elif isinstance(e, requests.exceptions.ConnectionError): msg = "Connection error"
-            else: msg = f"Unknown network error: {e}"
+            if isinstance(e, requests.exceptions.Timeout):
+                msg = "Request timeout"
+            elif isinstance(e, requests.exceptions.ConnectionError):
+                msg = "Connection error"
+            else:
+                msg = f"Unknown network error: {e}"
             raise NetworkError(msg, url=url) from e
     # [/DEF:_handle_network_error:Function]
 
@@ -256,7 +291,9 @@ class APIClient:
     def upload_file(self, endpoint: str, file_info: Dict[str, Any], extra_data: Optional[Dict] = None, timeout: Optional[int] = None) -> Dict:
         with belief_scope("upload_file"):
             full_url = f"{self.base_url}{endpoint}"
-        _headers = self.headers.copy(); _headers.pop('Content-Type', None)
+            _headers = self.headers.copy()
+            _headers.pop('Content-Type', None)
+        
         
         file_obj, file_name, form_field = file_info.get("file_obj"), file_info.get("file_name"), file_info.get("form_field", "file")
         
@@ -318,20 +355,40 @@ class APIClient:
     # @PURPOSE: Автоматически собирает данные со всех страниц пагинированного эндпоинта.
     # @PARAM: endpoint (str) - Эндпоинт.
     # @PARAM: pagination_options (Dict[str, Any]) - Опции пагинации.
-    # @PRE: pagination_options must contain 'base_query', 'total_count', 'results_field'.
+    # @PRE: pagination_options must contain 'base_query', 'results_field'. 'total_count' is optional.
     # @POST: Returns all items across all pages.
     # @RETURN: List[Any] - Список данных.
     def fetch_paginated_data(self, endpoint: str, pagination_options: Dict[str, Any]) -> List[Any]:
         with belief_scope("fetch_paginated_data"):
-            base_query, total_count = pagination_options["base_query"], pagination_options["total_count"]
-        results_field, page_size = pagination_options["results_field"], base_query.get('page_size')
-        assert page_size and page_size > 0, "'page_size' must be a positive number."
+            base_query = pagination_options["base_query"]
+            total_count = pagination_options.get("total_count")
+        
+        results_field = pagination_options["results_field"]
+        count_field = pagination_options.get("count_field", "count")
+        page_size = base_query.get('page_size', 1000)
+        assert page_size > 0, "'page_size' must be a positive number."
         
         results = []
-        for page in range((total_count + page_size - 1) // page_size):
+        page = 0
+        
+        # Fetch first page to get data and total count if not provided
+        query = {**base_query, 'page': page}
+        response_json = cast(Dict[str, Any], self.request("GET", endpoint, params={"q": json.dumps(query)}))
+        
+        first_page_results = response_json.get(results_field, [])
+        results.extend(first_page_results)
+        
+        if total_count is None:
+            total_count = response_json.get(count_field, len(first_page_results))
+            app_logger.debug(f"[fetch_paginated_data][State] Total count resolved from first page: {total_count}")
+
+        # Fetch remaining pages
+        total_pages = (total_count + page_size - 1) // page_size
+        for page in range(1, total_pages):
             query = {**base_query, 'page': page}
             response_json = cast(Dict[str, Any], self.request("GET", endpoint, params={"q": json.dumps(query)}))
             results.extend(response_json.get(results_field, []))
+            
         return results
     # [/DEF:fetch_paginated_data:Function]
 

backend/src/dependencies.py

@@ -1,11 +1,10 @@
 # [DEF:Dependencies:Module]
 # @SEMANTICS: dependency, injection, singleton, factory, auth, jwt
-# @PURPOSE: Manages the creation and provision of shared application dependencies, such as the PluginLoader and TaskManager, to avoid circular imports.
+# @PURPOSE: Manages creation and provision of shared application dependencies, such as PluginLoader and TaskManager, to avoid circular imports.
 # @LAYER: Core
-# @RELATION: Used by the main app and API routers to get access to shared instances.
+# @RELATION: Used by main app and API routers to get access to shared instances.
 
 from pathlib import Path
-from typing import Optional
 from fastapi import Depends, HTTPException, status
 from fastapi.security import OAuth2PasswordBearer
 from jose import JWTError
@@ -13,8 +12,10 @@ from .core.plugin_loader import PluginLoader
 from .core.task_manager import TaskManager
 from .core.config_manager import ConfigManager
 from .core.scheduler import SchedulerService
+from .services.resource_service import ResourceService
+from .services.mapping_service import MappingService
 from .core.database import init_db, get_auth_db
-from .core.logger import logger, belief_scope
+from .core.logger import logger
 from .core.auth.jwt import decode_token
 from .core.auth.repository import AuthRepository
 from .models.auth import User
@@ -29,12 +30,12 @@ config_manager = ConfigManager(config_path=str(config_path))
 init_db()
 
 # [DEF:get_config_manager:Function]
-# @PURPOSE: Dependency injector for the ConfigManager.
+# @PURPOSE: Dependency injector for ConfigManager.
 # @PRE: Global config_manager must be initialized.
 # @POST: Returns shared ConfigManager instance.
 # @RETURN: ConfigManager - The shared config manager instance.
 def get_config_manager() -> ConfigManager:
-    """Dependency injector for the ConfigManager."""
+    """Dependency injector for ConfigManager."""
     return config_manager
 # [/DEF:get_config_manager:Function]
 
@@ -50,45 +51,68 @@ logger.info("TaskManager initialized")
 scheduler_service = SchedulerService(task_manager, config_manager)
 logger.info("SchedulerService initialized")
 
+resource_service = ResourceService()
+logger.info("ResourceService initialized")
+
 # [DEF:get_plugin_loader:Function]
-# @PURPOSE: Dependency injector for the PluginLoader.
+# @PURPOSE: Dependency injector for PluginLoader.
 # @PRE: Global plugin_loader must be initialized.
 # @POST: Returns shared PluginLoader instance.
 # @RETURN: PluginLoader - The shared plugin loader instance.
 def get_plugin_loader() -> PluginLoader:
-    """Dependency injector for the PluginLoader."""
+    """Dependency injector for PluginLoader."""
     return plugin_loader
 # [/DEF:get_plugin_loader:Function]
 
 # [DEF:get_task_manager:Function]
-# @PURPOSE: Dependency injector for the TaskManager.
+# @PURPOSE: Dependency injector for TaskManager.
 # @PRE: Global task_manager must be initialized.
 # @POST: Returns shared TaskManager instance.
 # @RETURN: TaskManager - The shared task manager instance.
 def get_task_manager() -> TaskManager:
-    """Dependency injector for the TaskManager."""
+    """Dependency injector for TaskManager."""
     return task_manager
 # [/DEF:get_task_manager:Function]
 
 # [DEF:get_scheduler_service:Function]
-# @PURPOSE: Dependency injector for the SchedulerService.
+# @PURPOSE: Dependency injector for SchedulerService.
 # @PRE: Global scheduler_service must be initialized.
 # @POST: Returns shared SchedulerService instance.
 # @RETURN: SchedulerService - The shared scheduler service instance.
 def get_scheduler_service() -> SchedulerService:
-    """Dependency injector for the SchedulerService."""
+    """Dependency injector for SchedulerService."""
     return scheduler_service
 # [/DEF:get_scheduler_service:Function]
 
+# [DEF:get_resource_service:Function]
+# @PURPOSE: Dependency injector for ResourceService.
+# @PRE: Global resource_service must be initialized.
+# @POST: Returns shared ResourceService instance.
+# @RETURN: ResourceService - The shared resource service instance.
+def get_resource_service() -> ResourceService:
+    """Dependency injector for ResourceService."""
+    return resource_service
+# [/DEF:get_resource_service:Function]
+
+# [DEF:get_mapping_service:Function]
+# @PURPOSE: Dependency injector for MappingService.
+# @PRE: Global config_manager must be initialized.
+# @POST: Returns new MappingService instance.
+# @RETURN: MappingService - A new mapping service instance.
+def get_mapping_service() -> MappingService:
+    """Dependency injector for MappingService."""
+    return MappingService(config_manager)
+# [/DEF:get_mapping_service:Function]
+
 # [DEF:oauth2_scheme:Variable]
 # @PURPOSE: OAuth2 password bearer scheme for token extraction.
 oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/api/auth/login")
 # [/DEF:oauth2_scheme:Variable]
 
 # [DEF:get_current_user:Function]
-# @PURPOSE: Dependency for retrieving the currently authenticated user from a JWT.
+# @PURPOSE: Dependency for retrieving currently authenticated user from a JWT.
 # @PRE:     JWT token provided in Authorization header.
-# @POST:    Returns the User object if token is valid.
+# @POST:    Returns User object if token is valid.
 # @THROW:   HTTPException 401 if token is invalid or user not found.
 # @PARAM:   token (str) - Extracted JWT token.
 # @PARAM:   db (Session) - Auth database session.
@@ -144,4 +168,4 @@ def has_permission(resource: str, action: str):
     return permission_checker
 # [/DEF:has_permission:Function]
 
-# [/DEF:Dependencies:Module]
+# [/DEF:Dependencies:Module]

backend/src/models/__tests__/test_models.py

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

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

@@ -5,7 +5,7 @@
 # @LAYER: Domain
 # @RELATION: INHERITS_FROM -> backend.src.models.mapping.Base
 
-from sqlalchemy import Column, String, Boolean, DateTime, JSON, Enum, Text
+from sqlalchemy import Column, String, Boolean, DateTime, JSON, Text
 from datetime import datetime
 import uuid
 from .mapping import Base

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",
@@ -110,14 +112,22 @@ class BackupPlugin(PluginBase):
     # [/DEF:get_schema:Function]
 
     # [DEF:execute:Function]
-    # @PURPOSE: Executes the dashboard backup logic.
-    # @PARAM: params (Dict[str, Any]) - Backup parameters (env, backup_path).
+    # @PURPOSE: Executes the dashboard backup logic with TaskContext support.
+    # @PARAM: params (Dict[str, Any]) - Backup parameters (env, backup_path, dashboard_ids).
+    # @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")
+            
+            # Support both parameter names: environment_id (for task creation) and env (for direct calls)
+            env_id = params.get("environment_id") or params.get("env")
+            dashboard_ids = params.get("dashboard_ids") or params.get("dashboards")
+            
+            # Log the incoming parameters for debugging
+            log = context.logger if context else app_logger
+            log.info(f"Backup parameters received: env_id={env_id}, dashboard_ids={dashboard_ids}")
             
             # Resolve environment name if environment_id is provided
             if env_id:
@@ -128,13 +138,21 @@ class BackupPlugin(PluginBase):
             env = params.get("env")
             if not env:
                 raise KeyError("env")
+            
+            log.info(f"Backup started for environment: {env}, selected dashboards: {dashboard_ids}")
 
             storage_settings = config_manager.get_config().settings.storage
             # Use 'backups' subfolder within the storage root
             backup_path = Path(storage_settings.root_path) / "backups"
             
-            from ..core.logger import logger as app_logger
-            app_logger.info(f"[BackupPlugin][Entry] Starting backup for {env}.")
+            # 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
+            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()
@@ -147,25 +165,43 @@ 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}.")
+                # Get all dashboards
+                all_dashboard_count, all_dashboard_meta = client.get_dashboards()
+                superset_log.info(f"Found {all_dashboard_count} total dashboards in environment")
+                
+                # Filter dashboards if specific IDs are provided
+                if dashboard_ids:
+                    dashboard_ids_int = [int(did) for did in dashboard_ids]
+                    dashboard_meta = [db for db in all_dashboard_meta if db.get('id') in dashboard_ids_int]
+                    dashboard_count = len(dashboard_meta)
+                    superset_log.info(f"Filtered to {dashboard_count} selected dashboards: {dashboard_ids_int}")
+                else:
+                    dashboard_count = all_dashboard_count
+                    superset_log.info("No dashboard filter applied - backing up all dashboards")
+                    dashboard_meta = all_dashboard_meta
 
                 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 +211,19 @@ 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:
-            raise ValueError("source_env and target_env are required for test-db-api")
+            if not source_env_name or not target_env_name:
+                raise ValueError("source_env and target_env are required for test-db-api")
 
-        from ..dependencies import get_config_manager
-        config_manager = get_config_manager()
+            from ..dependencies import get_config_manager
+            config_manager = get_config_manager()
         
-        results = {}
-        for name in [source_env_name, target_env_name]:
-            env_config = config_manager.get_environment(name)
-            if not env_config:
-                raise ValueError(f"Environment '{name}' not found.")
+            results = {}
+            for name in [source_env_name, target_env_name]:
+                log.info(f"Testing database API for environment: {name}")
+                env_config = config_manager.get_environment(name)
+                if not env_config:
+                    log.error(f"Environment '{name}' not found.")
+                    raise ValueError(f"Environment '{name}' not found.")
             
-            client = SupersetClient(env_config)
-            client.authenticate()
-            count, dbs = client.get_databases()
-            results[name] = {
-                "count": count,
-                "databases": dbs
-            }
+                client = SupersetClient(env_config)
+                client.authenticate()
+                count, dbs = client.get_databases()
+                log.debug(f"Found {count} databases in {name}")
+                results[name] = {
+                    "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:
-            raise ValueError("env and dataset_id are required for get-dataset-structure")
+            if not env_name or dataset_id is None:
+                raise ValueError("env and dataset_id are required for get-dataset-structure")
 
-        from ..dependencies import get_config_manager
-        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.")
+            log.info(f"Fetching structure for dataset {dataset_id} in {env_name}")
             
-        client = SupersetClient(env_config)
-        client.authenticate()
+            from ..dependencies import get_config_manager
+            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)
-        return dataset_response.get('result') or {}
+            dataset_response = client.get_dataset(dataset_id)
+            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

@@ -5,10 +5,9 @@
 # @LAYER: Domain
 # @RELATION: DEPENDS_ON -> backend.src.plugins.llm_analysis.service.LLMClient
 
-from typing import List, Optional
+from typing import List
 from tenacity import retry, stop_after_attempt, wait_exponential
 from ..llm_analysis.service import LLMClient
-from ..llm_analysis.models import LLMProviderType
 from ...core.logger import belief_scope, logger
 
 # [DEF:GitLLMExtension:Class]
@@ -61,6 +60,7 @@ class GitLLMExtension:
                 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

@@ -9,4 +9,6 @@ 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/plugin.py

@@ -7,22 +7,22 @@
 # @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, List
+from typing import Dict, Any, Optional
 import os
 import json
-import logging
 from datetime import datetime, timedelta
 from ...core.plugin_base import PluginBase
 from ...core.logger import belief_scope, logger
 from ...core.database import SessionLocal
-from ...core.config_manager import ConfigManager
 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.
@@ -56,28 +56,27 @@ class DashboardValidationPlugin(PluginBase):
         }
 
     # [DEF:DashboardValidationPlugin.execute:Function]
-    # @PURPOSE: Executes the dashboard validation task.
+    # @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]):
+    async def execute(self, params: Dict[str, Any], context: Optional[TaskContext] = None):
         with belief_scope("execute", f"plugin_id={self.id}"):
-            logger.info(f"Executing {self.name} 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
+            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")
-            task_id = params.get("_task_id")
-
-            # Helper to log to both app logger and task manager logs
-            def task_log(level: str, message: str, context: Optional[Dict] = None):
-                logger.log(getattr(logging, level.upper()), message)
-                if task_id:
-                    from ...dependencies import get_task_manager
-                    try:
-                        tm = get_task_manager()
-                        tm._add_log(task_id, level.upper(), message, context)
-                    except: pass
 
             db = SessionLocal()
             try:
@@ -86,25 +85,26 @@ class DashboardValidationPlugin(PluginBase):
                 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")
                 
-                logger.info(f"[DashboardValidationPlugin.execute] Retrieved provider config:")
-                logger.info(f"[DashboardValidationPlugin.execute]   Provider ID: {db_provider.id}")
-                logger.info(f"[DashboardValidationPlugin.execute]   Provider Name: {db_provider.name}")
-                logger.info(f"[DashboardValidationPlugin.execute]   Provider Type: {db_provider.provider_type}")
-                logger.info(f"[DashboardValidationPlugin.execute]   Base URL: {db_provider.base_url}")
-                logger.info(f"[DashboardValidationPlugin.execute]   Default Model: {db_provider.default_model}")
-                logger.info(f"[DashboardValidationPlugin.execute]   Is Active: {db_provider.is_active}")
+                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)
-                logger.info(f"[DashboardValidationPlugin.execute]   API Key decrypted (first 8 chars): {api_key[:8] if api_key and len(api_key) > 8 else 'EMPTY_OR_NONE'}...")
-                logger.info(f"[DashboardValidationPlugin.execute]   API Key Length: {len(api_key) if api_key else 0}")
+                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:
@@ -124,7 +124,9 @@ class DashboardValidationPlugin(PluginBase):
                 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 = []
@@ -147,6 +149,7 @@ class DashboardValidationPlugin(PluginBase):
                         "page_size": 100
                     }
                     
+                    superset_log.debug(f"Fetching logs for dashboard {dashboard_id}")
                     response = client.network.request(
                         method="GET",
                         endpoint="/log/",
@@ -162,9 +165,10 @@ class DashboardValidationPlugin(PluginBase):
                     
                     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:
-                    logger.warning(f"Failed to fetch logs from environment: {e}")
+                    superset_log.warning(f"Failed to fetch logs from environment: {e}")
                     logs = [f"Error fetching remote logs: {str(e)}"]
 
                 # 5. Analyze with LLM
@@ -175,14 +179,15 @@ class DashboardValidationPlugin(PluginBase):
                     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
-                task_log("INFO", f"[ANALYSIS_SUMMARY] Status: {analysis['status']}")
-                task_log("INFO", f"[ANALYSIS_SUMMARY] Summary: {analysis['summary']}")
+                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"]):
-                        task_log("INFO", f"[ANALYSIS_ISSUE][{i+1}] {issue.get('severity')}: {issue.get('message')} (Location: {issue.get('location', 'N/A')})")
+                        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(
@@ -207,13 +212,13 @@ class DashboardValidationPlugin(PluginBase):
 
                 # 7. Notification on failure (US1 / FR-015)
                 if validation_result.status == ValidationStatus.FAIL:
-                    task_log("WARNING", f"Dashboard {dashboard_id} validation FAILED. Summary: {validation_result.summary}")
+                    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
-                task_log("INFO", f"Validation completed for dashboard {dashboard_id}. Status: {validation_result.status.value}")
+                log.info(f"Validation completed for dashboard {dashboard_id}. Status: {validation_result.status.value}")
                 
                 return validation_result.dict()
 
@@ -254,13 +259,22 @@ class DocumentationPlugin(PluginBase):
         }
 
     # [DEF:DocumentationPlugin.execute:Function]
-    # @PURPOSE: Executes the dataset documentation task.
+    # @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]):
+    async def execute(self, params: Dict[str, Any], context: Optional[TaskContext] = None):
         with belief_scope("execute", f"plugin_id={self.id}"):
-            logger.info(f"Executing {self.name} 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
+            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")
@@ -273,25 +287,25 @@ class DocumentationPlugin(PluginBase):
                 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")
                 
-                logger.info(f"[DocumentationPlugin.execute] Retrieved provider config:")
-                logger.info(f"[DocumentationPlugin.execute]   Provider ID: {db_provider.id}")
-                logger.info(f"[DocumentationPlugin.execute]   Provider Name: {db_provider.name}")
-                logger.info(f"[DocumentationPlugin.execute]   Provider Type: {db_provider.provider_type}")
-                logger.info(f"[DocumentationPlugin.execute]   Base URL: {db_provider.base_url}")
-                logger.info(f"[DocumentationPlugin.execute]   Default Model: {db_provider.default_model}")
-                logger.info(f"[DocumentationPlugin.execute]   Is Active: {db_provider.is_active}")
+                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)
-                logger.info(f"[DocumentationPlugin.execute]   API Key decrypted (first 8 chars): {api_key[:8] if api_key and len(api_key) > 8 else 'EMPTY_OR_NONE'}...")
-                logger.info(f"[DocumentationPlugin.execute]   API Key Length: {len(api_key) if api_key else 0}")
+                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:
@@ -305,10 +319,8 @@ class DocumentationPlugin(PluginBase):
                 from ...core.superset_client import SupersetClient
                 client = SupersetClient(env)
                 
-                # Optimistic locking check (T045)
+                superset_log.debug(f"Fetching dataset {dataset_id}")
                 dataset = client.get_dataset(int(dataset_id))
-                # dataset structure might vary, ensure we get the right field
-                original_changed_on = dataset.get("changed_on_utc") or dataset.get("result", {}).get("changed_on_utc")
                 
                 # Extract columns and existing descriptions
                 columns_data = []
@@ -318,6 +330,7 @@ class DocumentationPlugin(PluginBase):
                         "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(
@@ -345,12 +358,10 @@ class DocumentationPlugin(PluginBase):
                 """
                 
                 # Using a generic chat completion for text-only US2
-                # We use the shared get_json_completion method from LLMClient
+                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)
-                # This part normally goes to mapping_service, but we implement the logic here for the plugin flow
-                # We'll update the dataset in Superset
                 update_payload = {
                     "description": doc_result["dataset_description"],
                     "columns": []
@@ -365,8 +376,11 @@ class DocumentationPlugin(PluginBase):
                                 "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:

backend/src/plugins/llm_analysis/scheduler.py

@@ -39,6 +39,7 @@ def schedule_dashboard_validation(dashboard_id: str, cron_expression: str, param
             **_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.
@@ -56,5 +57,6 @@ def _parse_cron(cron: str) -> Dict[str, str]:
         "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

@@ -12,12 +12,12 @@ import asyncio
 import base64
 import json
 import io
-from typing import List, Optional, Dict, Any
+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, ValidationResult, ValidationStatus, DetectedIssue
+from .models import LLMProviderType
 from ...core.logger import belief_scope, logger
 from ...core.config_models import Environment
 
@@ -96,7 +96,7 @@ class ScreenshotService:
                     "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(f"[DEBUG] Attempting to find login form elements...")
+                logger.info("[DEBUG] Attempting to find login form elements...")
                 
                 try:
                     # Find and fill username
@@ -190,27 +190,27 @@ class ScreenshotService:
                 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(f"[DEBUG] Dashboard container loaded")
+                    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(f"[DEBUG] Loading indicators hidden")
-                    except:
-                        logger.warning(f"[DEBUG] Timeout waiting for loading indicators to hide")
+                        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(f"[DEBUG] Chart content detected")
-                    except:
-                        logger.warning(f"[DEBUG] Timeout waiting for chart content")
+                        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(f"[DEBUG] Waiting for all charts to have rendered 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
@@ -223,10 +223,10 @@ class ScreenshotService:
                             return hasCanvas || hasSvg || hasContent;
                         });
                     }""", timeout=60000)
-                    logger.info(f"[DEBUG] All charts have rendered content")
+                    logger.info("[DEBUG] All charts have rendered content")
 
                     # Scroll to bottom and back to top to trigger lazy loading of all charts
-                    logger.info(f"[DEBUG] Scrolling to trigger lazy loading...")
+                    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) {
@@ -241,7 +241,7 @@ class ScreenshotService:
                     logger.warning(f"[DEBUG] Dashboard content wait failed: {e}, proceeding anyway after delay")
                 
                 # Final stabilization delay - increased for complex dashboards
-                logger.info(f"[DEBUG] Final stabilization delay...")
+                logger.info("[DEBUG] Final stabilization delay...")
                 await asyncio.sleep(15)
 
                 # Logic to handle tabs and full-page capture
@@ -251,7 +251,8 @@ class ScreenshotService:
                     processed_tabs = set()
 
                     async def switch_tabs(depth=0):
-                        if depth > 3: return # Limit recursion depth
+                        if depth > 3:
+                            return # Limit recursion depth
                         
                         tab_selectors = [
                             '.ant-tabs-nav-list .ant-tabs-tab',
@@ -262,7 +263,8 @@ class ScreenshotService:
                         found_tabs = []
                         for selector in tab_selectors:
                             found_tabs = await page.locator(selector).all()
-                            if found_tabs: break
+                            if found_tabs:
+                                break
                             
                         if found_tabs:
                             logger.info(f"[DEBUG][TabSwitching] Found {len(found_tabs)} tabs at depth {depth}")
@@ -292,7 +294,8 @@ class ScreenshotService:
                                 if "ant-tabs-tab-active" not in (await first_tab.get_attribute("class") or ""):
                                     await first_tab.click()
                                     await asyncio.sleep(1)
-                            except: pass
+                            except Exception:
+                                pass
 
                     await switch_tabs()
 
@@ -423,7 +426,7 @@ class LLMClient:
         self.default_model = default_model
         
         # DEBUG: Log initialization parameters (without exposing full API key)
-        logger.info(f"[LLMClient.__init__] Initializing LLM client:")
+        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}")

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 pathlib import Path
-import zipfile
+from typing import Dict, Any, Optional
 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")
-        to_db_id = params.get("to_db_id")
+        params.get("from_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:
-            # [DEF:__init__:Function]
-            # @PURPOSE: Initializes the proxy logger.
-            # @PRE:     None.
-            # @POST:    Instance is initialized.
-            def __init__(self):
-                with belief_scope("__init__"):
-                    # Initialize parent with dummy values since we override methods
-                    pass
-            # [/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}")
+        # 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
+        superset_log = log.with_source("superset_api") if context else log
+        migration_log = log.with_source("migration") if context else log
+        
+        log.info("Starting migration task.")
+        log.debug(f"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)
@@ -270,29 +212,36 @@ 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
-            db_mapping = {}
+            # Get mappings from params
+            db_mapping = params.get("db_mappings", {})
+            if not isinstance(db_mapping, dict):
+                db_mapping = {}
+            
+            # Fetch additional mappings from database if requested
             if replace_db_config:
                 db = SessionLocal()
                 try:
                     # Find environment IDs by name
-                    src_env = db.query(Environment).filter(Environment.name == from_env_name).first()
-                    tgt_env = db.query(Environment).filter(Environment.name == to_env_name).first()
+                    src_env_db = db.query(Environment).filter(Environment.name == from_env_name).first()
+                    tgt_env_db = db.query(Environment).filter(Environment.name == to_env_name).first()
                     
-                    if src_env and tgt_env:
-                        mappings = db.query(DatabaseMapping).filter(
-                            DatabaseMapping.source_env_id == src_env.id,
-                            DatabaseMapping.target_env_id == tgt_env.id
+                    if src_env_db and tgt_env_db:
+                        stored_mappings = db.query(DatabaseMapping).filter(
+                            DatabaseMapping.source_env_id == src_env_db.id,
+                            DatabaseMapping.target_env_id == tgt_env_db.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.")
+                        # Provided mappings override stored ones
+                        stored_map_dict = {m.source_db_uuid: m.target_db_uuid for m in stored_mappings}
+                        stored_map_dict.update(db_mapping)
+                        db_mapping = stored_map_dict
+                        log.info(f"Loaded {len(stored_mappings)} database mappings from database.")
                 finally:
                     db.close()
 
@@ -311,7 +260,7 @@ 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 +282,9 @@ 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 +306,7 @@ 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 +325,19 @@ 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/scripts/test_dataset_dashboard_relations.py

@@ -0,0 +1,163 @@
+#!/usr/bin/env python3
+"""
+Script to test dataset-to-dashboard relationships from Superset API.
+
+Usage:
+    cd backend && .venv/bin/python3 src/scripts/test_dataset_dashboard_relations.py
+"""
+
+import json
+import sys
+from pathlib import Path
+
+# Add src to path (parent of scripts directory)
+sys.path.append(str(Path(__file__).parent.parent.parent))
+
+from src.core.superset_client import SupersetClient
+from src.core.config_manager import ConfigManager
+from src.core.logger import logger
+
+
+def test_dashboard_dataset_relations():
+    """Test fetching dataset-to-dashboard relationships."""
+    
+    # Load environment from existing config
+    config_manager = ConfigManager()
+    environments = config_manager.get_environments()
+    
+    if not environments:
+        logger.error("No environments configured!")
+        return
+    
+    # Use first available environment
+    env = environments[0]
+    logger.info(f"Using environment: {env.name} ({env.url})")
+    
+    client = SupersetClient(env)
+    
+    try:
+        # Authenticate
+        logger.info("Authenticating to Superset...")
+        client.authenticate()
+        logger.info("Authentication successful!")
+        
+        # Test dashboard ID 13
+        dashboard_id = 13
+        logger.info(f"\n=== Fetching Dashboard {dashboard_id} ===")
+        dashboard = client.network.request(method="GET", endpoint=f"/dashboard/{dashboard_id}")
+        
+        print("\nDashboard structure:")
+        print(f"  ID: {dashboard.get('id')}")
+        print(f"  Title: {dashboard.get('dashboard_title')}")
+        print(f"  Published: {dashboard.get('published')}")
+        
+        # Check for slices/charts
+        if 'slices' in dashboard:
+            logger.info(f"\n  Found {len(dashboard['slices'])} slices/charts in dashboard")
+            for i, slice_data in enumerate(dashboard['slices'][:5]):  # Show first 5
+                print(f"    Slice {i+1}:")
+                print(f"      ID: {slice_data.get('slice_id')}")
+                print(f"      Name: {slice_data.get('slice_name')}")
+                # Check for datasource_id
+                if 'datasource_id' in slice_data:
+                    print(f"      Datasource ID: {slice_data['datasource_id']}")
+                if 'datasource_name' in slice_data:
+                    print(f"      Datasource Name: {slice_data['datasource_name']}")
+                if 'datasource_type' in slice_data:
+                    print(f"      Datasource Type: {slice_data['datasource_type']}")
+        else:
+            logger.warning("  No 'slices' field found in dashboard response")
+            logger.info(f"  Available fields: {list(dashboard.keys())}")
+        
+        # Test dataset ID 26
+        dataset_id = 26
+        logger.info(f"\n=== Fetching Dataset {dataset_id} ===")
+        dataset = client.get_dataset(dataset_id)
+        
+        print("\nDataset structure:")
+        print(f"  ID: {dataset.get('id')}")
+        print(f"  Table Name: {dataset.get('table_name')}")
+        print(f"  Schema: {dataset.get('schema')}")
+        print(f"  Database: {dataset.get('database', {}).get('database_name', 'Unknown')}")
+        
+        # Check for dashboards that use this dataset
+        logger.info(f"\n=== Finding Dashboards using Dataset {dataset_id} ===")
+        
+        # Method: Use Superset's related_objects API
+        try:
+            logger.info(f"  Using /api/v1/dataset/{dataset_id}/related_objects endpoint...")
+            related_objects = client.network.request(
+                method="GET",
+                endpoint=f"/dataset/{dataset_id}/related_objects"
+            )
+            
+            logger.info(f"  Related objects response type: {type(related_objects)}")
+            logger.info(f"  Related objects keys: {list(related_objects.keys()) if isinstance(related_objects, dict) else 'N/A'}")
+            
+            # Check for dashboards in related objects
+            if 'dashboards' in related_objects:
+                dashboards = related_objects['dashboards']
+                logger.info(f"  Found {len(dashboards)} dashboards using this dataset:")
+                
+                for dash in dashboards:
+                    logger.info(f"    - Dashboard ID {dash.get('id')}: {dash.get('dashboard_title', dash.get('title', 'Unknown'))}")
+            elif 'result' in related_objects:
+                # Some Superset versions use 'result' wrapper
+                result = related_objects['result']
+                if 'dashboards' in result:
+                    dashboards = result['dashboards']
+                    logger.info(f"  Found {len(dashboards)} dashboards using this dataset:")
+                    
+                    for dash in dashboards:
+                        logger.info(f"    - Dashboard ID {dash.get('id')}: {dash.get('dashboard_title', dash.get('title', 'Unknown'))}")
+                else:
+                    logger.warning(f"  No 'dashboards' key in result. Keys: {list(result.keys())}")
+            else:
+                logger.warning(f"  No 'dashboards' key in response. Available keys: {list(related_objects.keys())}")
+                logger.info(f"  Full related_objects response:")
+                print(json.dumps(related_objects, indent=2, default=str)[:1000])
+                
+        except Exception as e:
+            logger.error(f"  Error fetching related objects: {e}")
+            import traceback
+            traceback.print_exc()
+        
+        # Method 2: Try to use the position_json from dashboard
+        logger.info(f"\n=== Analyzing Dashboard Position JSON ===")
+        if 'position_json' in dashboard:
+            position_data = json.loads(dashboard['position_json'])
+            logger.info(f"  Position data type: {type(position_data)}")
+            
+            # Look for datasource references
+            datasource_ids = set()
+            if isinstance(position_data, dict):
+                for key, value in position_data.items():
+                    if 'datasource' in key.lower() or key == 'DASHBOARD_VERSION_KEY':
+                        logger.debug(f"    Key: {key}, Value type: {type(value)}")
+            elif isinstance(position_data, list):
+                logger.info(f"  Position data has {len(position_data)} items")
+                for item in position_data[:3]:  # Show first 3
+                    logger.debug(f"    Item: {type(item)}, keys: {list(item.keys()) if isinstance(item, dict) else 'N/A'}")
+                    if isinstance(item, dict):
+                        if 'datasource_id' in item:
+                            datasource_ids.add(item['datasource_id'])
+            
+            if datasource_ids:
+                logger.info(f"  Found datasource IDs: {datasource_ids}")
+        
+        # Save full response for analysis
+        output_file = Path(__file__).parent / "dataset_dashboard_analysis.json"
+        with open(output_file, 'w') as f:
+            json.dump({
+                'dashboard': dashboard,
+                'dataset': dataset
+            }, f, indent=2, default=str)
+        logger.info(f"\nFull response saved to: {output_file}")
+        
+    except Exception as e:
+        logger.error(f"Error: {e}", exc_info=True)
+        raise
+
+
+if __name__ == "__main__":
+    test_dashboard_dataset_relations()

backend/src/services/__init__.py

@@ -0,0 +1,20 @@
+# [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
+
+# Lazy loading to avoid import issues in tests
+__all__ = ['MappingService', 'ResourceService']
+
+def __getattr__(name):
+    if name == 'MappingService':
+        from .mapping_service import MappingService
+        return MappingService
+    if name == 'ResourceService':
+        from .resource_service import ResourceService
+        return ResourceService
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")

backend/src/services/__tests__/test_resource_service.py

@@ -0,0 +1,212 @@
+# [DEF:backend.src.services.__tests__.test_resource_service:Module]
+# @TIER: STANDARD
+# @PURPOSE: Unit tests for ResourceService
+# @LAYER: Service
+# @RELATION: TESTS -> backend.src.services.resource_service
+# @RELATION: VERIFIES -> ResourceService
+
+import pytest
+from unittest.mock import MagicMock, patch, AsyncMock
+from datetime import datetime
+
+
+# [DEF:test_get_dashboards_with_status:Function]
+# @TEST: get_dashboards_with_status returns dashboards with git and task status
+# @PRE: SupersetClient returns dashboard list
+# @POST: Each dashboard has git_status and last_task fields
+@pytest.mark.asyncio
+async def test_get_dashboards_with_status():
+    with patch("src.services.resource_service.SupersetClient") as mock_client, \
+         patch("src.services.resource_service.GitService"):
+        
+        from src.services.resource_service import ResourceService
+        
+        service = ResourceService()
+        
+        # Mock Superset response
+        mock_client.return_value.get_dashboards_summary.return_value = [
+            {"id": 1, "title": "Dashboard 1", "slug": "dash-1"},
+            {"id": 2, "title": "Dashboard 2", "slug": "dash-2"}
+        ]
+        
+        # Mock tasks
+        mock_task = MagicMock()
+        mock_task.id = "task-123"
+        mock_task.status = "SUCCESS"
+        mock_task.params = {"resource_id": "dashboard-1"}
+        mock_task.created_at = datetime.now()
+        
+        env = MagicMock()
+        env.id = "prod"
+        
+        result = await service.get_dashboards_with_status(env, [mock_task])
+        
+        assert len(result) == 2
+        assert result[0]["id"] == 1
+        assert "git_status" in result[0]
+        assert "last_task" in result[0]
+        assert result[0]["last_task"]["task_id"] == "task-123"
+
+
+# [/DEF:test_get_dashboards_with_status:Function]
+
+
+# [DEF:test_get_datasets_with_status:Function]
+# @TEST: get_datasets_with_status returns datasets with task status
+# @PRE: SupersetClient returns dataset list
+# @POST: Each dataset has last_task field
+@pytest.mark.asyncio
+async def test_get_datasets_with_status():
+    with patch("src.services.resource_service.SupersetClient") as mock_client:
+        
+        from src.services.resource_service import ResourceService
+        
+        service = ResourceService()
+        
+        # Mock Superset response
+        mock_client.return_value.get_datasets_summary.return_value = [
+            {"id": 1, "table_name": "users", "schema": "public", "database": "app"},
+            {"id": 2, "table_name": "orders", "schema": "public", "database": "app"}
+        ]
+        
+        # Mock tasks
+        mock_task = MagicMock()
+        mock_task.id = "task-456"
+        mock_task.status = "RUNNING"
+        mock_task.params = {"resource_id": "dataset-1"}
+        mock_task.created_at = datetime.now()
+        
+        env = MagicMock()
+        env.id = "prod"
+        
+        result = await service.get_datasets_with_status(env, [mock_task])
+        
+        assert len(result) == 2
+        assert result[0]["table_name"] == "users"
+        assert "last_task" in result[0]
+        assert result[0]["last_task"]["task_id"] == "task-456"
+        assert result[0]["last_task"]["status"] == "RUNNING"
+
+
+# [/DEF:test_get_datasets_with_status:Function]
+
+
+# [DEF:test_get_activity_summary:Function]
+# @TEST: get_activity_summary returns active count and recent tasks
+# @PRE: tasks list provided
+# @POST: Returns dict with active_count and recent_tasks
+def test_get_activity_summary():
+    from src.services.resource_service import ResourceService
+    
+    service = ResourceService()
+    
+    # Create mock tasks
+    task1 = MagicMock()
+    task1.id = "task-1"
+    task1.status = "RUNNING"
+    task1.params = {"resource_name": "Dashboard 1", "resource_type": "dashboard"}
+    task1.created_at = datetime(2024, 1, 1, 10, 0, 0)
+    
+    task2 = MagicMock()
+    task2.id = "task-2"
+    task2.status = "SUCCESS"
+    task2.params = {"resource_name": "Dataset 1", "resource_type": "dataset"}
+    task2.created_at = datetime(2024, 1, 1, 9, 0, 0)
+    
+    task3 = MagicMock()
+    task3.id = "task-3"
+    task3.status = "WAITING_INPUT"
+    task3.params = {"resource_name": "Dashboard 2", "resource_type": "dashboard"}
+    task3.created_at = datetime(2024, 1, 1, 8, 0, 0)
+    
+    result = service.get_activity_summary([task1, task2, task3])
+    
+    assert result["active_count"] == 2  # RUNNING + WAITING_INPUT
+    assert len(result["recent_tasks"]) == 3
+
+
+# [/DEF:test_get_activity_summary:Function]
+
+
+# [DEF:test_get_git_status_for_dashboard_no_repo:Function]
+# @TEST: _get_git_status_for_dashboard returns None when no repo exists
+# @PRE: GitService returns None for repo
+# @POST: Returns None
+def test_get_git_status_for_dashboard_no_repo():
+    with patch("src.services.resource_service.GitService") as mock_git:
+        
+        from src.services.resource_service import ResourceService
+        
+        service = ResourceService()
+        mock_git.return_value.get_repo.return_value = None
+        
+        result = service._get_git_status_for_dashboard(123)
+        
+        assert result is None
+
+
+# [/DEF:test_get_git_status_for_dashboard_no_repo:Function]
+
+
+# [DEF:test_get_last_task_for_resource:Function]
+# @TEST: _get_last_task_for_resource returns most recent task for resource
+# @PRE: tasks list with matching resource_id
+# @POST: Returns task summary with task_id and status
+def test_get_last_task_for_resource():
+    from src.services.resource_service import ResourceService
+    
+    service = ResourceService()
+    
+    # Create mock tasks
+    task1 = MagicMock()
+    task1.id = "task-old"
+    task1.status = "SUCCESS"
+    task1.params = {"resource_id": "dashboard-1"}
+    task1.created_at = datetime(2024, 1, 1, 10, 0, 0)
+    
+    task2 = MagicMock()
+    task2.id = "task-new"
+    task2.status = "RUNNING"
+    task2.params = {"resource_id": "dashboard-1"}
+    task2.created_at = datetime(2024, 1, 1, 12, 0, 0)
+    
+    result = service._get_last_task_for_resource("dashboard-1", [task1, task2])
+    
+    assert result is not None
+    assert result["task_id"] == "task-new"  # Most recent
+    assert result["status"] == "RUNNING"
+
+
+# [/DEF:test_get_last_task_for_resource:Function]
+
+
+# [DEF:test_extract_resource_name_from_task:Function]
+# @TEST: _extract_resource_name_from_task extracts name from params
+# @PRE: task has resource_name in params
+# @POST: Returns resource name or fallback
+def test_extract_resource_name_from_task():
+    from src.services.resource_service import ResourceService
+    
+    service = ResourceService()
+    
+    # Task with resource_name
+    task = MagicMock()
+    task.id = "task-123"
+    task.params = {"resource_name": "My Dashboard"}
+    
+    result = service._extract_resource_name_from_task(task)
+    assert result == "My Dashboard"
+    
+    # Task without resource_name
+    task2 = MagicMock()
+    task2.id = "task-456"
+    task2.params = {}
+    
+    result2 = service._extract_resource_name_from_task(task2)
+    assert "task-456" in result2
+
+
+# [/DEF:test_extract_resource_name_from_task:Function]
+
+
+# [/DEF:backend.src.services.__tests__.test_resource_service: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

@@ -9,49 +9,80 @@
 from typing import List, Optional
 from sqlalchemy.orm import Session
 from ..models.llm import LLMProvider
-from ..plugins.llm_analysis.models import LLMProviderConfig, LLMProviderType
+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:
-    # @INVARIANT: Uses a secret key from environment or a default one (fallback only for dev).
+    # [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)
@@ -70,7 +101,10 @@ class LLMProviderService:
     # [/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)
@@ -92,7 +126,10 @@ class LLMProviderService:
     # [/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)
@@ -104,7 +141,10 @@ class LLMProviderService:
     # [/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)

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

@@ -1,8 +1,6 @@
 #!/usr/bin/env python3
 """Debug script to test Superset API authentication"""
 
-import json
-import requests
 from pprint import pprint
 from src.core.superset_client import SupersetClient
 from src.core.config_manager import ConfigManager
@@ -53,7 +51,7 @@ def main():
         print("\n--- Response Headers ---")
         pprint(dict(ui_response.headers))
         
-        print(f"\n--- Response Content Preview (200 chars) ---")
+        print("\n--- Response Content Preview (200 chars) ---")
         print(repr(ui_response.text[:200]))
         
         if ui_response.status_code == 200:

backend/test_decryption.py

@@ -19,17 +19,17 @@ db = SessionLocal()
 provider = db.query(LLMProvider).filter(LLMProvider.id == '6c899741-4108-4196-aea4-f38ad2f0150e').first()
 
 if provider:
-    print(f"\nProvider found:")
+    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(f"\nAttempting decryption...")
+    print("\nAttempting decryption...")
     try:
         decrypted = fernet.decrypt(provider.api_key.encode()).decode()
-        print(f"Decryption successful!")
+        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}")

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 +1,73 @@
+# [DEF:backend.tests.test_dashboards_api:Module]
+# @TIER: STANDARD
+# @PURPOSE: Contract-driven tests for Dashboard Hub API
+# @LAYER: Domain (Tests)
+# @SEMANTICS: tests, dashboards, api, contract
+# @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_success:Function]
+
+# [DEF:test_get_dashboards_env_not_found:Function]
+# @TEST: GET /api/dashboards returns 404 if env_id missing
+# @PRE: env_id does not exist
+# @POST: Returns 404 error
+def test_get_dashboards_env_not_found():
+    with patch("src.api.routes.dashboards.get_config_manager") as mock_config, \
+         patch("src.api.routes.dashboards.has_permission") as mock_perm:
+        
+        mock_config.return_value.get_environments.return_value = []
+        mock_perm.return_value = lambda: True
+
+        response = client.get("/api/dashboards?env_id=nonexistent")
+        
+        assert response.status_code == 404
+        assert "Environment not found" in response.json()["detail"]
+
+# [/DEF:test_get_dashboards_env_not_found:Function]
+
+# [/DEF: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]
-# @PURPOSE: Test that belief_scope generates [ID][Entry], [ID][Action], and [ID][Exit] logs.
-# @PRE: belief_scope is available. caplog fixture is used.
-# @POST: Logs are verified to contain Entry, Action, and Exit tags.
-def test_belief_scope_logs_entry_action_exit(caplog):
-    """Test that belief_scope generates [ID][Entry], [ID][Action], and [ID][Exit] logs."""
-    caplog.set_level("INFO")
+# [DEF:test_belief_scope_logs_entry_action_exit_at_debug:Function]
+# @PURPOSE: Test that belief_scope generates [ID][Entry], [ID][Action], and [ID][Exit] logs at DEBUG level.
+# @PRE: belief_scope is available. caplog fixture is used. Logger configured to DEBUG.
+# @POST: Logs are verified to contain Entry, Action, and Exit tags at DEBUG level.
+def test_belief_scope_logs_entry_action_exit_at_debug(caplog):
+    """Test that belief_scope generates [ID][Entry], [ID][Action], and [ID][Exit] logs at DEBUG level."""
+    # Configure logger to DEBUG level
+    config = LoggingConfig(
+        level="DEBUG",
+        task_log_level="DEBUG",
+        enable_belief_state=True
+    )
+    configure_logger(config)
+    
+    caplog.set_level("DEBUG")
 
     with belief_scope("TestFunction"):
         logger.info("Doing something important")
@@ -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_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]

docs/design/resource_centric_layout.md

@@ -0,0 +1,145 @@
+# Design Document: Resource-Centric UI & Unified Task Experience
+
+## 1. Core Philosophy
+
+The application moves from a **Task-Centric** model (where users navigate to "Migration Tool" or "Git Tool") to a **Resource-Centric** model. Users navigate to the object they want to manage (Dashboard, Dataset) and perform actions on it.
+
+**Goals:**
+1.  **Context preservation:** Users shouldn't lose their place in a list just to see a log.
+2.  **Discoverability:** All actions available for a resource are grouped together.
+3.  **Traceability:** Every action is explicitly linked to a Task ID with accessible logs.
+
+---
+
+## 2. Navigation Structure (Navbar)
+
+**Old Menu:**
+`[Home] [Migration] [Git Manager] [Mapper] [Settings] [Logout]`
+
+**New Menu:**
+`[Superset Manager]  [Dashboards]  [Datasets]  [Storage]  |  [Activity (0)] [Settings] [User]`
+
+*   **Dashboards**: Main hub for all dashboard operations (Migrate, Backup, Git).
+*   **Datasets**: Hub for dataset documentation and mapping.
+*   **Storage**: File management (Backups, Repositories).
+*   **Activity**: Global indicator of running tasks. Clicking it opens the Task Drawer.
+
+---
+
+## 3. Page Layouts
+
+### 3.1. Dashboard Hub (`/dashboards`)
+
+The central place for managing Superset Dashboards.
+
+**Wireframe:**
+```text
++-----------------------------------------------------------------------+
+|  Select Source Env: [ Development (v) ]     [ Refresh ]               |
++-----------------------------------------------------------------------+
+|  Search: [ Filter by title... ]                                       |
++-----------------------------------------------------------------------+
+|  Title           | Slug        | Git Status    | Last Task | Actions  |
+|------------------|-------------|---------------|-----------|----------|
+|  Sales Report    | sales-2023  | 🌿 main (OK)  | (v) Done  | [ ... ]  |
+|  HR Analytics    | hr-dash     | -             | ( ) Idle  | [ ... ]  |
+|  Logs Monitor    | logs-v2     | 🌿 dev (Diff) | (@) Run.. | [ ... ]  |
++-----------------------------------------------------------------------+
+```
+
+**Interaction Details:**
+1.  **Source Env Selector**: Loads dashboards via `superset_client.get_dashboards`.
+2.  **Status Column ("Last Task")**:
+    *   Shows the status of the *last known action* for this dashboard in the current session.
+    *   **States**: `Idle`, `Running` (Spinner), `Waiting Input` (Orange Key), `Success` (Green Check), `Error` (Red X).
+    *   **Click Action**: Clicking the icon/badge opens the **Task Drawer**.
+3.  **Actions Menu ([ ... ])**:
+    *   **Migrate**: Opens `DeploymentModal` (Simplified: just Target Env selector).
+    *   **Backup**: Immediately triggers `BackupPlugin`.
+    *   **Git Operations**:
+        *   *Init Repo* (if Git Status is empty).
+        *   *Commit/Push*, *History*, *Checkout* (if Git initialized).
+    *   **Validate**: Triggers LLM Analysis.
+
+### 3.2. Dataset Hub (`/datasets`)
+
+The central place for managing physical datasets and semantic layers.
+
+**Wireframe:**
+```text
++-----------------------------------------------------------------------+
+|  Select Source Env: [ Production (v) ]                                |
++-----------------------------------------------------------------------+
+|  Table Name      | Schema      | Mapped Fields | Last Task | Actions  |
+|------------------|-------------|---------------|-----------|----------|
+|  fact_orders     | public      | 15 / 20       | (v) Done  | [ ... ]  |
+|  dim_users       | auth        | 0 / 5         | ( ) Idle  | [ ... ]  |
++-----------------------------------------------------------------------+
+```
+
+**Actions Menu ([ ... ])**:
+*   **Map Columns**: Opens the Mapping Modal (replaces `MapperPage`).
+*   **Generate Docs**: Triggers `DocumentationPlugin`.
+
+---
+
+## 4. The Global Task Drawer
+
+**Concept:** A slide-out panel that overlays the right side of the screen. It persists in the DOM layout (Global Layout) but is hidden until triggered.
+
+**Trigger Points:**
+1.  Clicking a **Status Badge** in any Grid row (Dashboard or Dataset).
+2.  Clicking the **Activity** indicator in the Navbar.
+
+**Layout:**
+```text
++---------------------------------------------------------------+
+|  Task: Migration "Sales Report"                   [X] Close   |
+|  ID: 1234-5678-uuid                                           |
+|  Status: WAITING_INPUT (Paused)                               |
++---------------------------------------------------------------+
+|                                                               |
+|  [Log Stream Area]                                            |
+|  10:00:01 [INFO] Starting migration...                        |
+|  10:00:02 [INFO] Exporting dashboard...                       |
+|  10:00:05 [WARN] Target DB requires password!                 |
+|                                                               |
++---------------------------------------------------------------+
+|  INTERACTIVE AREA (Dynamic)                                   |
+|                                                               |
+|  Target Database: "Production DB"                             |
+|  Enter Password: [ ********** ]                               |
+|                                                               |
+|  [ Cancel ] [ Resume Task ]                                   |
++---------------------------------------------------------------+
+```
+
+**Behavior:**
+*   **Context Aware**: If I trigger a migration on "Sales Report", the Drawer automatically opens and subscribes to that task's ID.
+*   **Multi-Tasking**: I can close the drawer (click [X]) to let the task run in the background. The "Activity" badge in the navbar increments.
+*   **Input Handling**: Components like `PasswordPrompt` or `MissingMappingModal` are no longer center-screen modals blocking the whole UI. They are rendered *inside* the Interactive Area of the Drawer.
+
+---
+
+## 5. Technical Component Architecture
+
+### 5.1. Stores (`stores/tasks.js`)
+Needs a new reactive store structure to map Resources to Tasks.
+
+```javascript
+// Map resource UUIDs to their active/latest task UUIDs
+export const resourceTaskMap = writable({
+  "dashboard-uuid-1": { taskId: "task-uuid-A", status: "RUNNING" },
+  "dataset-uuid-2":   { taskId: "task-uuid-B", status: "SUCCESS" }
+});
+
+// The currently focused task in the Drawer
+export const activeDrawerTask = writable(null); // { taskId: "..." }
+export const isDrawerOpen = writable(false);
+```
+
+### 5.2. Components
+*   `DashboardHub.svelte`: Main page.
+*   `DatasetHub.svelte`: Main page.
+*   `GlobalTaskDrawer.svelte`: Lives in `+layout.svelte`. Connects to `activeDrawerTask`.
+*   `ActionMenu.svelte`: Reusable dropdown for grids.