{"type":"thinking_level_change","id":"fbad0842","parentId":null,"timestamp":"2026-03-29T23:05:15.454Z","thinkingLevel":"off"}
{"type":"model_change","id":"a4f39b88","parentId":"fbad0842","timestamp":"2026-03-29T23:05:15.455Z","provider":"anthropic","modelId":"claude-opus-4-6"}
{"type":"custom_message","customType":"gsd-auto","content":"You are executing GSD auto-mode.\n\n## Working Directory\n\nYour working directory is `/home/aux/projects/content-to-kb-automator`. All file reads, writes, and shell commands MUST operate relative to this directory. Do NOT `cd` to any other directory.\n\nA researcher explored the codebase and a planner decomposed the work — you are the executor. The task plan below is your authoritative contract for the slice goal and verification bar, but it is not a substitute for local reality. Verify the referenced files and surrounding code before changing them. Do not do broad re-research or spontaneous re-planning. Small factual corrections, file-path fixes, and local implementation adaptations are part of execution. Escalate to `blocker_discovered: true` only when the slice contract or downstream task graph no longer holds.\n\n\n\n\n\n## Backing Source Artifacts\n- Slice plan: `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M001/slices/S04/S04-PLAN.md`\n- Task plan source: `.gsd/milestones/M001/slices/S04/tasks/T01-PLAN.md`\n- Prior task summaries in this slice:\n- (no prior tasks)\n\nThen:\n0. Narrate step transitions, key implementation decisions, and verification outcomes as you work. Keep it terse — one line between tool-call clusters, not between every call — but write complete sentences in user-facing prose, not shorthand notes or scratchpad fragments.\n1.  Follow any activated skills before writing code. If no skills match this task, skip this step.\n2. Execute the steps in the inlined task plan, adapting minor local mismatches when the surrounding code differs from the planner's snapshot\n3. Build the real thing. If the task plan says \"create login endpoint\", build an endpoint that actually authenticates against a real store, not one that returns a hardcoded success response. If the task plan says \"create dashboard page\", build a page that renders real data from the API, not a component with hardcoded props. Stubs and mocks are for tests, not for the shipped feature.\n4. Write or update tests as part of execution — tests are verification, not an afterthought. If the slice plan defines test files in its Verification section and this is the first task, create them (they should initially fail).\n5. When implementing non-trivial runtime behavior (async flows, API boundaries, background processes, error paths), add or preserve agent-usable observability. Skip this for simple changes where it doesn't apply.\n\n   **Background process rule:** Never use bare `command &` to run background processes. The shell's `&` operator leaves stdout/stderr attached to the parent, which causes the Bash tool to hang indefinitely waiting for those streams to close. Always redirect output before backgrounding:\n   - Correct: `command > /dev/null 2>&1 &` or `nohup command > /dev/null 2>&1 &`\n   - Example: `python -m http.server 8080 > /dev/null 2>&1 &` (NOT `python -m http.server 8080 &`)\n   - Preferred: use the `bg_shell` tool if available — it manages process lifecycle correctly without stream-inheritance issues\n6. If the task plan includes a **Failure Modes** section (Q5), implement the error/timeout/malformed handling specified. Verify each dependency's failure path is handled. Skip if the section is absent.\n7. If the task plan includes a **Load Profile** section (Q6), implement protections for the identified 10x breakpoint (connection pooling, rate limiting, pagination, etc.). Skip if absent.\n8. If the task plan includes a **Negative Tests** section (Q7), write the specified negative test cases alongside the happy-path tests — malformed inputs, error paths, and boundary conditions. Skip if absent.\n9. Verify must-haves are met by running concrete checks (tests, commands, observable behaviors)\n10. Run the slice-level verification checks defined in the slice plan's Verification section. Track which pass. On the final task of the slice, all must pass before marking done. On intermediate tasks, partial passes are expected — note which ones pass in the summary.\n11. After the verification gate runs (you'll see gate results in stderr/notify output), populate the `## Verification Evidence` table in your task summary with the check results. Use the `formatEvidenceTable` format: one row per check with command, exit code, verdict (✅ pass / ❌ fail), and duration. If no verification commands were discovered, note that in the section.\n12. If the task touches UI, browser flows, DOM behavior, or user-visible web state:\n   - exercise the real flow in the browser\n   - prefer `browser_batch` when the next few actions are obvious and sequential\n   - prefer `browser_assert` for explicit pass/fail verification of the intended outcome\n   - use `browser_diff` when an action's effect is ambiguous\n   - use console/network/dialog diagnostics when validating async, stateful, or failure-prone UI\n   - record verification in terms of explicit checks passed/failed, not only prose interpretation\n13. If the task plan includes an Observability Impact section, verify those signals directly. Skip this step if the task plan omits the section.\n14. **If execution is running long or verification fails:**\n\n    **Context budget:** You have approximately **~80K chars** reserved for verification context. If you've used most of your context and haven't finished all steps, stop implementing and prioritize writing the task summary with clear notes on what's done and what remains. A partial summary that enables clean resumption is more valuable than one more half-finished step with no documentation. Never sacrifice summary quality for one more implementation step.\n\n    **Debugging discipline:** If a verification check fails or implementation hits unexpected behavior:\n    - Form a hypothesis first. State what you think is wrong and why, then test that specific theory. Don't shotgun-fix.\n    - Change one variable at a time. Make one change, test, observe. Multiple simultaneous changes mean you can't attribute what worked.\n    - Read completely. When investigating, read entire functions and their imports, not just the line that looks relevant.\n    - Distinguish \"I know\" from \"I assume.\" Observable facts (the error says X) are strong evidence. Assumptions (this library should work this way) need verification.\n    - Know when to stop. If you've tried 3+ fixes without progress, your mental model is probably wrong. Stop. List what you know for certain. List what you've ruled out. Form fresh hypotheses from there.\n    - Don't fix symptoms. Understand *why* something fails before changing code. A test that passes after a change you don't understand is luck, not a fix.\n15. **Blocker discovery:** If execution reveals that the remaining slice plan is fundamentally invalid — not just a bug or minor deviation, but a plan-invalidating finding like a wrong API, missing capability, or architectural mismatch — set `blocker_discovered: true` in the task summary frontmatter and describe the blocker clearly in the summary narrative. Do NOT set `blocker_discovered: true` for ordinary debugging, minor deviations, or issues that can be fixed within the current task or the remaining plan. This flag triggers an automatic replan of the slice.\n16. If you made an architectural, pattern, library, or observability decision during this task that downstream work should know about, append it to `.gsd/DECISIONS.md` (read the template at `~/.gsd/agent/extensions/gsd/templates/decisions.md` if the file doesn't exist yet). Not every task produces decisions — only append when a meaningful choice was made.\n17. If you discover a non-obvious rule, recurring gotcha, or useful pattern during execution, append it to `.gsd/KNOWLEDGE.md`. Only add entries that would save future agents from repeating your investigation. Don't add obvious things.\n18. Read the template at `~/.gsd/agent/extensions/gsd/templates/task-summary.md`\n19. Write `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M001/slices/S04/tasks/T01-SUMMARY.md`\n20. Call `gsd_complete_task` with milestone_id, slice_id, task_id, and a summary of what was accomplished. This is your final required step — do NOT manually edit PLAN.md checkboxes. The tool marks the task complete, updates the DB, and renders PLAN.md automatically.\n21. Do not run git commands — the system reads your task summary after completion and creates a meaningful commit from it (type inferred from title, message from your one-liner, key files from frontmatter). Write a clear, specific one-liner in the summary — it becomes the commit message.\n\nAll work stays in your working directory: `/home/aux/projects/content-to-kb-automator`.\n\n**You MUST call `gsd_complete_task` AND write `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M001/slices/S04/tasks/T01-SUMMARY.md` before finishing.**\n\nWhen done, say: \"Task T01 complete.\"\n## Slice Plan Excerpt\nSource: `.gsd/milestones/M001/slices/S04/S04-PLAN.md`\n**Goal:** Admin can review, edit, approve, reject, split, and merge extracted key moments via a web UI. Mode toggle switches between review mode (moments queued for human review) and auto mode (moments publish directly).\n**Demo:** After this: Admin views pending key moments, approves/edits/rejects them, toggles between review and auto mode\n\n### Slice Verification\n- `cd backend && python -m pytest tests/test_review.py -v` — all tests pass\n- `cd backend && python -m pytest tests/ -v` — no regressions (all existing tests still pass)\n- `python -c \"from routers.review import router; print(len(router.routes))\"` — prints 9 (routes registered)\n\n## UNIT: Execute Task T01 (\"Build review queue API endpoints with Redis mode toggle and integration tests\") — Slice S04 (\"Review Queue Admin UI\"), Milestone M001\n\n## Resume State\n- No continue file present. Start from the top of the task plan.\n\n## Carry-Forward Context\n- No prior task summaries in this slice.\n\n## Inlined Task Plan (authoritative local execution contract)\nSource: `.gsd/milestones/M001/slices/S04/tasks/T01-PLAN.md`\n\n---\nestimated_steps: 54\nestimated_files: 6\nskills_used: []\n---\n\n# T01: Build review queue API endpoints with Redis mode toggle and integration tests\n\nCreate the complete review queue backend: new Pydantic schemas for review actions, a review router with 9 endpoints (list queue, stats, approve, reject, edit, split, merge, get mode, set mode), Redis-backed runtime mode toggle, mount in main.py, and comprehensive integration tests. Follow existing async SQLAlchemy patterns from routers/creators.py.\n\n## Steps\n\n1. Add review-specific Pydantic schemas to `backend/schemas.py`: `ReviewQueueItem` (KeyMomentRead + video title + creator name), `ReviewQueueResponse` (paginated), `ReviewStatsResponse` (counts per status), `MomentEditRequest` (editable fields: title, summary, start_time, end_time, content_type, plugins), `MomentSplitRequest` (split_time: float), `ReviewModeResponse` and `ReviewModeUpdate` (mode: bool).\n\n2. Create `backend/routers/review.py` with these async endpoints:\n   - `GET /review/queue` — List key moments filtered by `status` query param (pending/approved/edited/rejected/all), paginated with `offset`/`limit`, joined with SourceVideo.filename and Creator.name. Default filter: pending. Order by created_at desc.\n   - `GET /review/stats` — Return counts grouped by review_status (pending, approved, edited, rejected) using SQL count + group by.\n   - `POST /review/moments/{moment_id}/approve` — Set review_status=approved, return updated moment. 404 if not found.\n   - `POST /review/moments/{moment_id}/reject` — Set review_status=rejected, return updated moment. 404 if not found.\n   - `PUT /review/moments/{moment_id}` — Update editable fields from MomentEditRequest, set review_status=edited, return updated moment. 404 if not found.\n   - `POST /review/moments/{moment_id}/split` — Split moment at `split_time` into two moments. Validate split_time is between start_time and end_time. Original keeps [start_time, split_time), new gets [split_time, end_time]. Both keep same source_video_id and technique_page_id. Return both moments. 400 on invalid split_time.\n   - `POST /review/moments/{moment_id}/merge` — Accept `target_moment_id` in body. Merge two moments: combined summary, min(start_time), max(end_time), delete target, return merged result. Both must belong to same source_video. 400 if different videos. 404 if either not found.\n   - `GET /review/mode` — Read current mode from Redis key `chrysopedia:review_mode`. If not in Redis, fall back to `settings.review_mode` default.\n   - `PUT /review/mode` — Set mode in Redis key `chrysopedia:review_mode`. Return new mode.\n\n3. Add Redis client helper. Create a small `backend/redis_client.py` module with `get_redis()` async function using `redis.asyncio.Redis.from_url(settings.redis_url)`. Import in review router.\n\n4. Mount the review router in `backend/main.py`: `app.include_router(review.router, prefix=\"/api/v1\")`.\n\n5. Add `redis` (async redis client) to `backend/requirements.txt` if not already present.\n\n6. Create `backend/tests/test_review.py` with integration tests using the established conftest patterns (async client, real PostgreSQL):\n   - Test list queue returns empty when no moments exist\n   - Test list queue returns moments with video/creator info after seeding\n   - Test filter by status works (seed moments with different statuses)\n   - Test stats endpoint returns correct counts\n   - Test approve sets review_status=approved\n   - Test reject sets review_status=rejected\n   - Test edit updates fields and sets review_status=edited\n   - Test split creates two moments with correct timestamps\n   - Test split returns 400 for invalid split_time (outside range)\n   - Test merge combines two moments correctly\n   - Test merge returns 400 for moments from different videos\n   - Test approve/reject/edit return 404 for nonexistent moment\n   - Test mode get/set (mock Redis)\n\n## Must-Haves\n\n- [ ] All 9 review endpoints return correct HTTP status codes and response bodies\n- [ ] Split validates split_time is strictly between start_time and end_time\n- [ ] Merge validates both moments belong to same source_video\n- [ ] Mode toggle reads/writes Redis, falls back to config default\n- [ ] All review tests pass alongside existing test suite\n- [ ] Review router mounted in main.py\n\n## Failure Modes\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| PostgreSQL | SQLAlchemy raises, FastAPI returns 500 | Connection timeout → 500 | N/A (ORM handles) |\n| Redis (mode toggle) | Return 503 with error detail | Timeout → fall back to config default | N/A (simple get/set) |\n\n## Negative Tests\n\n- **Malformed inputs**: split_time outside moment range → 400, merge moments from different videos → 400, edit with empty title → validation error\n- **Error paths**: approve/reject/edit/split nonexistent moment → 404, merge with nonexistent target → 404\n- **Boundary conditions**: split at exact start_time or end_time → 400, merge moment with itself → 400, empty queue → empty list\n\n## Verification\n\n- `cd backend && python -m pytest tests/test_review.py -v` — all tests pass\n- `cd backend && python -m pytest tests/ -v` — no regressions (all existing tests still pass)\n- `python -c \"from routers.review import router; print(len(router.routes))\"` — prints 9 (routes registered)\n\n## Observability Impact\n\n- Signals added: INFO log on each review action (approve/reject/edit/split/merge) with moment_id\n- How a future agent inspects: `GET /api/v1/review/stats` shows pending/approved/edited/rejected counts\n- Failure state exposed: 404 responses include moment_id that was not found, 400 responses include validation details\n\n## Inputs\n\n- ``backend/models.py` — KeyMoment, SourceVideo, Creator models with review_status enum`\n- ``backend/schemas.py` — existing Pydantic schemas to extend`\n- ``backend/database.py` — get_session async dependency`\n- ``backend/config.py` — Settings with review_mode and redis_url`\n- ``backend/main.py` — router mount point`\n- ``backend/routers/creators.py` — pattern reference for async SQLAlchemy endpoints`\n- ``backend/tests/conftest.py` — test fixtures (db_engine, client, sync_engine, pre_ingested_video)`\n\n## Expected Output\n\n- ``backend/routers/review.py` — review queue API router with 9 endpoints`\n- ``backend/redis_client.py` — async Redis client helper`\n- ``backend/schemas.py` — extended with review-specific Pydantic schemas`\n- ``backend/main.py` — updated to mount review router`\n- ``backend/requirements.txt` — updated with redis dependency`\n- ``backend/tests/test_review.py` — integration tests for all review endpoints`\n\n## Verification\n\ncd backend && python -m pytest tests/test_review.py -v && python -m pytest tests/ -v\n","display":false,"id":"b349d4b0","parentId":"a4f39b88","timestamp":"2026-03-29T23:05:15.456Z"}
{"type":"message","id":"03c3783c","parentId":"b349d4b0","timestamp":"2026-03-29T23:05:20.792Z","message":{"role":"assistant","content":[{"type":"text","text":"\n\nI'll start by examining the existing codebase to understand the patterns, models, and schemas before implementing."},{"type":"toolCall","id":"toolu_01A6kjtd9exhLYJ7Kgaw5SNy","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M001/slices/S04/S04-PLAN.md"}},{"type":"toolCall","id":"toolu_01NzKov6v2xh2ZsTcVQqSkHE","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/models.py"}},{"type":"toolCall","id":"toolu_011p6p7YB8ME2AgEtEENU86g","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/schemas.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":221,"cacheRead":49033,"cacheWrite":4589,"totalTokens":53845,"cost":{"input":0.00001,"output":0.005525,"cacheRead":0.0245165,"cacheWrite":0.028681250000000002,"total":0.05873275}},"stopReason":"toolUse","timestamp":1774825515455}}
{"type":"message","id":"c059cb01","parentId":"03c3783c","timestamp":"2026-03-29T23:05:20.797Z","message":{"role":"toolResult","toolCallId":"toolu_01A6kjtd9exhLYJ7Kgaw5SNy","toolName":"read","content":[{"type":"text","text":"# S04: Review Queue Admin UI\n\n**Goal:** Admin can review, edit, approve, reject, split, and merge extracted key moments via a web UI. Mode toggle switches between review mode (moments queued for human review) and auto mode (moments publish directly).\n**Demo:** After this: Admin views pending key moments, approves/edits/rejects them, toggles between review and auto mode\n\n## Tasks\n- [ ] **T01: Build review queue API endpoints with Redis mode toggle and integration tests** — Create the complete review queue backend: new Pydantic schemas for review actions, a review router with 9 endpoints (list queue, stats, approve, reject, edit, split, merge, get mode, set mode), Redis-backed runtime mode toggle, mount in main.py, and comprehensive integration tests. Follow existing async SQLAlchemy patterns from routers/creators.py.\n\n## Steps\n\n1. Add review-specific Pydantic schemas to `backend/schemas.py`: `ReviewQueueItem` (KeyMomentRead + video title + creator name), `ReviewQueueResponse` (paginated), `ReviewStatsResponse` (counts per status), `MomentEditRequest` (editable fields: title, summary, start_time, end_time, content_type, plugins), `MomentSplitRequest` (split_time: float), `ReviewModeResponse` and `ReviewModeUpdate` (mode: bool).\n\n2. Create `backend/routers/review.py` with these async endpoints:\n   - `GET /review/queue` — List key moments filtered by `status` query param (pending/approved/edited/rejected/all), paginated with `offset`/`limit`, joined with SourceVideo.filename and Creator.name. Default filter: pending. Order by created_at desc.\n   - `GET /review/stats` — Return counts grouped by review_status (pending, approved, edited, rejected) using SQL count + group by.\n   - `POST /review/moments/{moment_id}/approve` — Set review_status=approved, return updated moment. 404 if not found.\n   - `POST /review/moments/{moment_id}/reject` — Set review_status=rejected, return updated moment. 404 if not found.\n   - `PUT /review/moments/{moment_id}` — Update editable fields from MomentEditRequest, set review_status=edited, return updated moment. 404 if not found.\n   - `POST /review/moments/{moment_id}/split` — Split moment at `split_time` into two moments. Validate split_time is between start_time and end_time. Original keeps [start_time, split_time), new gets [split_time, end_time]. Both keep same source_video_id and technique_page_id. Return both moments. 400 on invalid split_time.\n   - `POST /review/moments/{moment_id}/merge` — Accept `target_moment_id` in body. Merge two moments: combined summary, min(start_time), max(end_time), delete target, return merged result. Both must belong to same source_video. 400 if different videos. 404 if either not found.\n   - `GET /review/mode` — Read current mode from Redis key `chrysopedia:review_mode`. If not in Redis, fall back to `settings.review_mode` default.\n   - `PUT /review/mode` — Set mode in Redis key `chrysopedia:review_mode`. Return new mode.\n\n3. Add Redis client helper. Create a small `backend/redis_client.py` module with `get_redis()` async function using `redis.asyncio.Redis.from_url(settings.redis_url)`. Import in review router.\n\n4. Mount the review router in `backend/main.py`: `app.include_router(review.router, prefix=\"/api/v1\")`.\n\n5. Add `redis` (async redis client) to `backend/requirements.txt` if not already present.\n\n6. Create `backend/tests/test_review.py` with integration tests using the established conftest patterns (async client, real PostgreSQL):\n   - Test list queue returns empty when no moments exist\n   - Test list queue returns moments with video/creator info after seeding\n   - Test filter by status works (seed moments with different statuses)\n   - Test stats endpoint returns correct counts\n   - Test approve sets review_status=approved\n   - Test reject sets review_status=rejected\n   - Test edit updates fields and sets review_status=edited\n   - Test split creates two moments with correct timestamps\n   - Test split returns 400 for invalid split_time (outside range)\n   - Test merge combines two moments correctly\n   - Test merge returns 400 for moments from different videos\n   - Test approve/reject/edit return 404 for nonexistent moment\n   - Test mode get/set (mock Redis)\n\n## Must-Haves\n\n- [ ] All 9 review endpoints return correct HTTP status codes and response bodies\n- [ ] Split validates split_time is strictly between start_time and end_time\n- [ ] Merge validates both moments belong to same source_video\n- [ ] Mode toggle reads/writes Redis, falls back to config default\n- [ ] All review tests pass alongside existing test suite\n- [ ] Review router mounted in main.py\n\n## Failure Modes\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| PostgreSQL | SQLAlchemy raises, FastAPI returns 500 | Connection timeout → 500 | N/A (ORM handles) |\n| Redis (mode toggle) | Return 503 with error detail | Timeout → fall back to config default | N/A (simple get/set) |\n\n## Negative Tests\n\n- **Malformed inputs**: split_time outside moment range → 400, merge moments from different videos → 400, edit with empty title → validation error\n- **Error paths**: approve/reject/edit/split nonexistent moment → 404, merge with nonexistent target → 404\n- **Boundary conditions**: split at exact start_time or end_time → 400, merge moment with itself → 400, empty queue → empty list\n\n## Verification\n\n- `cd backend && python -m pytest tests/test_review.py -v` — all tests pass\n- `cd backend && python -m pytest tests/ -v` — no regressions (all existing tests still pass)\n- `python -c \"from routers.review import router; print(len(router.routes))\"` — prints 9 (routes registered)\n\n## Observability Impact\n\n- Signals added: INFO log on each review action (approve/reject/edit/split/merge) with moment_id\n- How a future agent inspects: `GET /api/v1/review/stats` shows pending/approved/edited/rejected counts\n- Failure state exposed: 404 responses include moment_id that was not found, 400 responses include validation details\n  - Estimate: 2h\n  - Files: backend/schemas.py, backend/routers/review.py, backend/redis_client.py, backend/main.py, backend/requirements.txt, backend/tests/test_review.py\n  - Verify: cd backend && python -m pytest tests/test_review.py -v && python -m pytest tests/ -v\n- [ ] **T02: Bootstrap React + Vite + TypeScript frontend with API client** — Replace the placeholder frontend with a real React + Vite + TypeScript application. Install dependencies, configure Vite with API proxy for development, create the app shell with React Router, and build a typed API client module for the review endpoints. Verify `npm run build` produces `dist/index.html` compatible with the existing Docker build pipeline.\n\n## Steps\n\n1. Initialize the React app in `frontend/`. Replace `package.json` with proper dependencies:\n   - `react`, `react-dom`, `react-router-dom` for the app\n   - `typescript`, `@types/react`, `@types/react-dom` for types\n   - `vite`, `@vitejs/plugin-react` for build tooling\n   - Scripts: `dev` → `vite`, `build` → `tsc -b && vite build`, `preview` → `vite preview`\n\n2. Create `frontend/vite.config.ts` with React plugin and dev server proxy (`/api` → `http://localhost:8001`) so the frontend dev server can reach the backend during development.\n\n3. Create `frontend/tsconfig.json` and `frontend/tsconfig.app.json` with strict TypeScript config targeting ES2020+ and JSX.\n\n4. Create `frontend/index.html` — Vite entry point with `<div id=\"root\">` and `<script type=\"module\" src=\"/src/main.tsx\">`.\n\n5. Create app shell files:\n   - `frontend/src/main.tsx` — ReactDOM.createRoot, render App with BrowserRouter\n   - `frontend/src/App.tsx` — Routes: `/admin/review` → ReviewQueue page, `/admin/review/:momentId` → MomentDetail page, `/` → redirect to `/admin/review`. Simple nav header with \"Chrysopedia Admin\" title.\n   - `frontend/src/App.css` — Minimal admin styles: clean sans-serif typography, card-based layout, status badge colors (pending=amber, approved=green, edited=blue, rejected=red)\n\n6. Create `frontend/src/api/client.ts` — Typed API client with functions for all review endpoints:\n   - `fetchQueue(params)` → GET /api/v1/review/queue\n   - `fetchStats()` → GET /api/v1/review/stats\n   - `approveMoment(id)` → POST /api/v1/review/moments/{id}/approve\n   - `rejectMoment(id)` → POST /api/v1/review/moments/{id}/reject\n   - `editMoment(id, data)` → PUT /api/v1/review/moments/{id}\n   - `splitMoment(id, splitTime)` → POST /api/v1/review/moments/{id}/split\n   - `mergeMoments(id, targetId)` → POST /api/v1/review/moments/{id}/merge\n   - `getReviewMode()` → GET /api/v1/review/mode\n   - `setReviewMode(enabled)` → PUT /api/v1/review/mode\n   All functions use fetch() with proper error handling. TypeScript interfaces for all request/response types.\n\n7. Create placeholder page components (just enough to verify routing works):\n   - `frontend/src/pages/ReviewQueue.tsx` — renders \"Review Queue\" heading + \"Loading...\" text\n   - `frontend/src/pages/MomentDetail.tsx` — renders \"Moment Detail\" heading + shows moment ID from URL params\n\n8. Run `npm install` and `npm run build` to verify the build produces `dist/index.html`. Verify the output directory structure matches what `docker/Dockerfile.web` expects.\n\n## Must-Haves\n\n- [ ] `npm run build` succeeds and produces `dist/index.html`\n- [ ] `npm run dev` starts Vite dev server\n- [ ] React Router routes `/admin/review` and `/admin/review/:momentId` render correctly\n- [ ] API client module exports typed functions for all 9 review endpoints\n- [ ] TypeScript compilation passes with no errors\n- [ ] Build output is compatible with existing `docker/Dockerfile.web` (files in `dist/`)\n\n## Verification\n\n- `cd frontend && npm run build && test -f dist/index.html` — build succeeds\n- `cd frontend && npx tsc --noEmit` — TypeScript has no errors\n- `grep -q 'fetchQueue\\|approveMoment\\|getReviewMode' frontend/src/api/client.ts` — API client has key functions\n  - Estimate: 1h\n  - Files: frontend/package.json, frontend/vite.config.ts, frontend/tsconfig.json, frontend/tsconfig.app.json, frontend/index.html, frontend/src/main.tsx, frontend/src/App.tsx, frontend/src/App.css, frontend/src/api/client.ts, frontend/src/pages/ReviewQueue.tsx, frontend/src/pages/MomentDetail.tsx\n  - Verify: cd frontend && npm run build && test -f dist/index.html && npx tsc --noEmit\n- [ ] **T03: Build review queue UI pages with status filters, moment actions, and mode toggle** — Implement the full admin review queue UI: the queue list page with status filter tabs and stats summary, the moment detail/review page with approve/reject/edit/split/merge actions, and the review mode toggle. Wire all pages to the API client from T02.\n\n## Steps\n\n1. Build `frontend/src/pages/ReviewQueue.tsx` — the main admin page:\n   - Stats bar at top showing counts per status (pending, approved, edited, rejected) fetched from `/api/v1/review/stats`\n   - Filter tabs: All, Pending, Approved, Edited, Rejected — clicking a tab filters the queue list\n   - Queue list: cards showing moment title, summary excerpt (first 150 chars), video filename, creator name, review_status badge, timestamps. Click card → navigate to `/admin/review/{momentId}`\n   - Pagination: Previous/Next buttons with offset/limit\n   - Mode toggle in header area: switch between Review Mode and Auto Mode, calls `PUT /api/v1/review/mode`. Show current mode with visual indicator (green dot for review, amber for auto)\n   - Empty state: show message when no moments match the current filter\n   - Use `useEffect` + `useState` for data fetching (no external state library needed for a single-admin tool)\n\n2. Build `frontend/src/pages/MomentDetail.tsx` — individual moment review page:\n   - Display full moment data: title, summary, content_type, start_time/end_time (formatted as mm:ss), plugins list, raw_transcript (if available), review_status badge\n   - Show source video filename and creator name\n   - Action buttons row:\n     - Approve (green) — calls `POST .../approve`, navigates back to queue on success\n     - Reject (red) — calls `POST .../reject`, navigates back to queue on success\n     - Edit — toggles inline edit mode for title, summary, content_type fields. Save button calls `PUT .../` with edited data\n     - Split — opens a split dialog: text input for split timestamp (validated between start_time and end_time), calls `POST .../split`\n     - Merge — opens a merge dialog: dropdown to select another moment from same video, calls `POST .../merge`\n   - Back link to queue\n   - Loading and error states for all API calls\n\n3. Create `frontend/src/components/StatusBadge.tsx` — reusable status badge component with color coding (pending=amber, approved=green, edited=blue, rejected=red).\n\n4. Create `frontend/src/components/ModeToggle.tsx` — review/auto mode toggle component extracted from the queue page for reuse in the header.\n\n5. Update `frontend/src/App.tsx` if needed to add the mode toggle to the global nav header.\n\n6. Update `frontend/src/App.css` with styles for:\n   - Stats bar (flex row of count cards)\n   - Filter tabs (horizontal tab bar with active indicator)\n   - Queue cards (bordered cards with hover effect)\n   - Status badges (colored pill shapes)\n   - Action buttons (colored, with hover/disabled states)\n   - Edit form (inline fields with save/cancel)\n   - Split/merge dialogs (modal overlays)\n   - Responsive layout (single column on narrow screens)\n\n7. Verify `npm run build` still succeeds after all UI changes.\n\n## Must-Haves\n\n- [ ] Queue page loads and displays moments from API with status filter tabs\n- [ ] Stats bar shows correct counts per review status\n- [ ] Clicking a moment navigates to detail page\n- [ ] Approve, reject actions work and navigate back to queue\n- [ ] Edit mode allows inline editing of title/summary/content_type with save\n- [ ] Split dialog validates split_time and creates two moments\n- [ ] Merge dialog shows moments from same video and merges on confirm\n- [ ] Mode toggle reads and updates review/auto mode via API\n- [ ] Build succeeds with no TypeScript errors\n\n## Verification\n\n- `cd frontend && npm run build && test -f dist/index.html` — build succeeds\n- `cd frontend && npx tsc --noEmit` — no TypeScript errors\n- `grep -q 'StatusBadge\\|ModeToggle' frontend/src/pages/ReviewQueue.tsx` — components integrated\n- `grep -q 'approve\\|reject\\|split\\|merge' frontend/src/pages/MomentDetail.tsx` — all actions present\n  - Estimate: 2h\n  - Files: frontend/src/pages/ReviewQueue.tsx, frontend/src/pages/MomentDetail.tsx, frontend/src/components/StatusBadge.tsx, frontend/src/components/ModeToggle.tsx, frontend/src/App.tsx, frontend/src/App.css\n  - Verify: cd frontend && npm run build && test -f dist/index.html && npx tsc --noEmit\n"}],"isError":false,"timestamp":1774825520796}}
{"type":"message","id":"2c9bbe4d","parentId":"c059cb01","timestamp":"2026-03-29T23:05:20.799Z","message":{"role":"toolResult","toolCallId":"toolu_01NzKov6v2xh2ZsTcVQqSkHE","toolName":"read","content":[{"type":"text","text":"\"\"\"SQLAlchemy ORM models for the Chrysopedia knowledge base.\n\nSeven entities matching chrysopedia-spec.md §6.1:\n  Creator, SourceVideo, TranscriptSegment, KeyMoment,\n  TechniquePage, RelatedTechniqueLink, Tag\n\"\"\"\n\nfrom __future__ import annotations\n\nimport enum\nimport uuid\nfrom datetime import datetime, timezone\n\nfrom sqlalchemy import (\n    Enum,\n    Float,\n    ForeignKey,\n    Integer,\n    String,\n    Text,\n    UniqueConstraint,\n    func,\n)\nfrom sqlalchemy.dialects.postgresql import ARRAY, JSONB, UUID\nfrom sqlalchemy.orm import Mapped, mapped_column\nfrom sqlalchemy.orm import relationship as sa_relationship\n\nfrom database import Base\n\n\n# ── Enums ────────────────────────────────────────────────────────────────────\n\nclass ContentType(str, enum.Enum):\n    \"\"\"Source video content type.\"\"\"\n    tutorial = \"tutorial\"\n    livestream = \"livestream\"\n    breakdown = \"breakdown\"\n    short_form = \"short_form\"\n\n\nclass ProcessingStatus(str, enum.Enum):\n    \"\"\"Pipeline processing status for a source video.\"\"\"\n    pending = \"pending\"\n    transcribed = \"transcribed\"\n    extracted = \"extracted\"\n    reviewed = \"reviewed\"\n    published = \"published\"\n\n\nclass KeyMomentContentType(str, enum.Enum):\n    \"\"\"Content classification for a key moment.\"\"\"\n    technique = \"technique\"\n    settings = \"settings\"\n    reasoning = \"reasoning\"\n    workflow = \"workflow\"\n\n\nclass ReviewStatus(str, enum.Enum):\n    \"\"\"Human review status for key moments.\"\"\"\n    pending = \"pending\"\n    approved = \"approved\"\n    edited = \"edited\"\n    rejected = \"rejected\"\n\n\nclass SourceQuality(str, enum.Enum):\n    \"\"\"Derived source quality for technique pages.\"\"\"\n    structured = \"structured\"\n    mixed = \"mixed\"\n    unstructured = \"unstructured\"\n\n\nclass PageReviewStatus(str, enum.Enum):\n    \"\"\"Review lifecycle for technique pages.\"\"\"\n    draft = \"draft\"\n    reviewed = \"reviewed\"\n    published = \"published\"\n\n\nclass RelationshipType(str, enum.Enum):\n    \"\"\"Types of links between technique pages.\"\"\"\n    same_technique_other_creator = \"same_technique_other_creator\"\n    same_creator_adjacent = \"same_creator_adjacent\"\n    general_cross_reference = \"general_cross_reference\"\n\n\n# ── Helpers ──────────────────────────────────────────────────────────────────\n\ndef _uuid_pk() -> Mapped[uuid.UUID]:\n    return mapped_column(\n        UUID(as_uuid=True),\n        primary_key=True,\n        default=uuid.uuid4,\n        server_default=func.gen_random_uuid(),\n    )\n\n\ndef _now() -> datetime:\n    \"\"\"Return current UTC time as a naive datetime (no tzinfo).\n\n    PostgreSQL TIMESTAMP WITHOUT TIME ZONE columns require naive datetimes.\n    asyncpg rejects timezone-aware datetimes for such columns.\n    \"\"\"\n    return datetime.now(timezone.utc).replace(tzinfo=None)\n\n\n# ── Models ───────────────────────────────────────────────────────────────────\n\nclass Creator(Base):\n    __tablename__ = \"creators\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    name: Mapped[str] = mapped_column(String(255), nullable=False)\n    slug: Mapped[str] = mapped_column(String(255), unique=True, nullable=False)\n    genres: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    folder_name: Mapped[str] = mapped_column(String(255), nullable=False)\n    view_count: Mapped[int] = mapped_column(Integer, default=0, server_default=\"0\")\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    videos: Mapped[list[SourceVideo]] = sa_relationship(back_populates=\"creator\")\n    technique_pages: Mapped[list[TechniquePage]] = sa_relationship(back_populates=\"creator\")\n\n\nclass SourceVideo(Base):\n    __tablename__ = \"source_videos\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    creator_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"creators.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    filename: Mapped[str] = mapped_column(String(500), nullable=False)\n    file_path: Mapped[str] = mapped_column(String(1000), nullable=False)\n    duration_seconds: Mapped[int] = mapped_column(Integer, nullable=True)\n    content_type: Mapped[ContentType] = mapped_column(\n        Enum(ContentType, name=\"content_type\", create_constraint=True),\n        nullable=False,\n    )\n    transcript_path: Mapped[str | None] = mapped_column(String(1000), nullable=True)\n    processing_status: Mapped[ProcessingStatus] = mapped_column(\n        Enum(ProcessingStatus, name=\"processing_status\", create_constraint=True),\n        default=ProcessingStatus.pending,\n        server_default=\"pending\",\n    )\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    creator: Mapped[Creator] = sa_relationship(back_populates=\"videos\")\n    segments: Mapped[list[TranscriptSegment]] = sa_relationship(back_populates=\"source_video\")\n    key_moments: Mapped[list[KeyMoment]] = sa_relationship(back_populates=\"source_video\")\n\n\nclass TranscriptSegment(Base):\n    __tablename__ = \"transcript_segments\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_video_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    start_time: Mapped[float] = mapped_column(Float, nullable=False)\n    end_time: Mapped[float] = mapped_column(Float, nullable=False)\n    text: Mapped[str] = mapped_column(Text, nullable=False)\n    segment_index: Mapped[int] = mapped_column(Integer, nullable=False)\n    topic_label: Mapped[str | None] = mapped_column(String(255), nullable=True)\n\n    # relationships\n    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"segments\")\n\n\nclass KeyMoment(Base):\n    __tablename__ = \"key_moments\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_video_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"source_videos.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    technique_page_id: Mapped[uuid.UUID | None] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"SET NULL\"), nullable=True\n    )\n    title: Mapped[str] = mapped_column(String(500), nullable=False)\n    summary: Mapped[str] = mapped_column(Text, nullable=False)\n    start_time: Mapped[float] = mapped_column(Float, nullable=False)\n    end_time: Mapped[float] = mapped_column(Float, nullable=False)\n    content_type: Mapped[KeyMomentContentType] = mapped_column(\n        Enum(KeyMomentContentType, name=\"key_moment_content_type\", create_constraint=True),\n        nullable=False,\n    )\n    plugins: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    review_status: Mapped[ReviewStatus] = mapped_column(\n        Enum(ReviewStatus, name=\"review_status\", create_constraint=True),\n        default=ReviewStatus.pending,\n        server_default=\"pending\",\n    )\n    raw_transcript: Mapped[str | None] = mapped_column(Text, nullable=True)\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    source_video: Mapped[SourceVideo] = sa_relationship(back_populates=\"key_moments\")\n    technique_page: Mapped[TechniquePage | None] = sa_relationship(\n        back_populates=\"key_moments\", foreign_keys=[technique_page_id]\n    )\n\n\nclass TechniquePage(Base):\n    __tablename__ = \"technique_pages\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    creator_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"creators.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    title: Mapped[str] = mapped_column(String(500), nullable=False)\n    slug: Mapped[str] = mapped_column(String(500), unique=True, nullable=False)\n    topic_category: Mapped[str] = mapped_column(String(255), nullable=False)\n    topic_tags: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    summary: Mapped[str | None] = mapped_column(Text, nullable=True)\n    body_sections: Mapped[dict | None] = mapped_column(JSONB, nullable=True)\n    signal_chains: Mapped[list | None] = mapped_column(JSONB, nullable=True)\n    plugins: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n    source_quality: Mapped[SourceQuality | None] = mapped_column(\n        Enum(SourceQuality, name=\"source_quality\", create_constraint=True),\n        nullable=True,\n    )\n    view_count: Mapped[int] = mapped_column(Integer, default=0, server_default=\"0\")\n    review_status: Mapped[PageReviewStatus] = mapped_column(\n        Enum(PageReviewStatus, name=\"page_review_status\", create_constraint=True),\n        default=PageReviewStatus.draft,\n        server_default=\"draft\",\n    )\n    created_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now()\n    )\n    updated_at: Mapped[datetime] = mapped_column(\n        default=_now, server_default=func.now(), onupdate=_now\n    )\n\n    # relationships\n    creator: Mapped[Creator] = sa_relationship(back_populates=\"technique_pages\")\n    key_moments: Mapped[list[KeyMoment]] = sa_relationship(\n        back_populates=\"technique_page\", foreign_keys=[KeyMoment.technique_page_id]\n    )\n    outgoing_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n        foreign_keys=\"RelatedTechniqueLink.source_page_id\", back_populates=\"source_page\"\n    )\n    incoming_links: Mapped[list[RelatedTechniqueLink]] = sa_relationship(\n        foreign_keys=\"RelatedTechniqueLink.target_page_id\", back_populates=\"target_page\"\n    )\n\n\nclass RelatedTechniqueLink(Base):\n    __tablename__ = \"related_technique_links\"\n    __table_args__ = (\n        UniqueConstraint(\"source_page_id\", \"target_page_id\", \"relationship\", name=\"uq_technique_link\"),\n    )\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    source_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    target_page_id: Mapped[uuid.UUID] = mapped_column(\n        ForeignKey(\"technique_pages.id\", ondelete=\"CASCADE\"), nullable=False\n    )\n    relationship: Mapped[RelationshipType] = mapped_column(\n        Enum(RelationshipType, name=\"relationship_type\", create_constraint=True),\n        nullable=False,\n    )\n\n    # relationships\n    source_page: Mapped[TechniquePage] = sa_relationship(\n        foreign_keys=[source_page_id], back_populates=\"outgoing_links\"\n    )\n    target_page: Mapped[TechniquePage] = sa_relationship(\n        foreign_keys=[target_page_id], back_populates=\"incoming_links\"\n    )\n\n\nclass Tag(Base):\n    __tablename__ = \"tags\"\n\n    id: Mapped[uuid.UUID] = _uuid_pk()\n    name: Mapped[str] = mapped_column(String(255), unique=True, nullable=False)\n    category: Mapped[str] = mapped_column(String(255), nullable=False)\n    aliases: Mapped[list[str] | None] = mapped_column(ARRAY(String), nullable=True)\n"}],"isError":false,"timestamp":1774825520799}}
{"type":"message","id":"ce4b1409","parentId":"2c9bbe4d","timestamp":"2026-03-29T23:05:20.801Z","message":{"role":"toolResult","toolCallId":"toolu_011p6p7YB8ME2AgEtEENU86g","toolName":"read","content":[{"type":"text","text":"\"\"\"Pydantic schemas for the Chrysopedia API.\n\nRead-only schemas for list/detail endpoints and input schemas for creation.\nEach schema mirrors the corresponding SQLAlchemy model in models.py.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport uuid\nfrom datetime import datetime\n\nfrom pydantic import BaseModel, ConfigDict, Field\n\n\n# ── Health ───────────────────────────────────────────────────────────────────\n\nclass HealthResponse(BaseModel):\n    status: str = \"ok\"\n    service: str = \"chrysopedia-api\"\n    version: str = \"0.1.0\"\n    database: str = \"unknown\"\n\n\n# ── Creator ──────────────────────────────────────────────────────────────────\n\nclass CreatorBase(BaseModel):\n    name: str\n    slug: str\n    genres: list[str] | None = None\n    folder_name: str\n\nclass CreatorCreate(CreatorBase):\n    pass\n\nclass CreatorRead(CreatorBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    view_count: int = 0\n    created_at: datetime\n    updated_at: datetime\n\n\nclass CreatorDetail(CreatorRead):\n    \"\"\"Creator with nested video count.\"\"\"\n    video_count: int = 0\n\n\n# ── SourceVideo ──────────────────────────────────────────────────────────────\n\nclass SourceVideoBase(BaseModel):\n    filename: str\n    file_path: str\n    duration_seconds: int | None = None\n    content_type: str\n    transcript_path: str | None = None\n\nclass SourceVideoCreate(SourceVideoBase):\n    creator_id: uuid.UUID\n\nclass SourceVideoRead(SourceVideoBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    creator_id: uuid.UUID\n    processing_status: str = \"pending\"\n    created_at: datetime\n    updated_at: datetime\n\n\n# ── TranscriptSegment ────────────────────────────────────────────────────────\n\nclass TranscriptSegmentBase(BaseModel):\n    start_time: float\n    end_time: float\n    text: str\n    segment_index: int\n    topic_label: str | None = None\n\nclass TranscriptSegmentCreate(TranscriptSegmentBase):\n    source_video_id: uuid.UUID\n\nclass TranscriptSegmentRead(TranscriptSegmentBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    source_video_id: uuid.UUID\n\n\n# ── KeyMoment ────────────────────────────────────────────────────────────────\n\nclass KeyMomentBase(BaseModel):\n    title: str\n    summary: str\n    start_time: float\n    end_time: float\n    content_type: str\n    plugins: list[str] | None = None\n    raw_transcript: str | None = None\n\nclass KeyMomentCreate(KeyMomentBase):\n    source_video_id: uuid.UUID\n    technique_page_id: uuid.UUID | None = None\n\nclass KeyMomentRead(KeyMomentBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    source_video_id: uuid.UUID\n    technique_page_id: uuid.UUID | None = None\n    review_status: str = \"pending\"\n    created_at: datetime\n    updated_at: datetime\n\n\n# ── TechniquePage ────────────────────────────────────────────────────────────\n\nclass TechniquePageBase(BaseModel):\n    title: str\n    slug: str\n    topic_category: str\n    topic_tags: list[str] | None = None\n    summary: str | None = None\n    body_sections: dict | None = None\n    signal_chains: list | None = None\n    plugins: list[str] | None = None\n\nclass TechniquePageCreate(TechniquePageBase):\n    creator_id: uuid.UUID\n    source_quality: str | None = None\n\nclass TechniquePageRead(TechniquePageBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n    creator_id: uuid.UUID\n    source_quality: str | None = None\n    view_count: int = 0\n    review_status: str = \"draft\"\n    created_at: datetime\n    updated_at: datetime\n\n\n# ── RelatedTechniqueLink ─────────────────────────────────────────────────────\n\nclass RelatedTechniqueLinkBase(BaseModel):\n    source_page_id: uuid.UUID\n    target_page_id: uuid.UUID\n    relationship: str\n\nclass RelatedTechniqueLinkCreate(RelatedTechniqueLinkBase):\n    pass\n\nclass RelatedTechniqueLinkRead(RelatedTechniqueLinkBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n\n\n# ── Tag ──────────────────────────────────────────────────────────────────────\n\nclass TagBase(BaseModel):\n    name: str\n    category: str\n    aliases: list[str] | None = None\n\nclass TagCreate(TagBase):\n    pass\n\nclass TagRead(TagBase):\n    model_config = ConfigDict(from_attributes=True)\n\n    id: uuid.UUID\n\n\n# ── Transcript Ingestion ─────────────────────────────────────────────────────\n\nclass TranscriptIngestResponse(BaseModel):\n    \"\"\"Response returned after successfully ingesting a transcript.\"\"\"\n    video_id: uuid.UUID\n    creator_id: uuid.UUID\n    creator_name: str\n    filename: str\n    segments_stored: int\n    processing_status: str\n    is_reupload: bool\n\n\n# ── Pagination wrapper ───────────────────────────────────────────────────────\n\nclass PaginatedResponse(BaseModel):\n    \"\"\"Generic paginated list response.\"\"\"\n    items: list = Field(default_factory=list)\n    total: int = 0\n    offset: int = 0\n    limit: int = 50\n"}],"isError":false,"timestamp":1774825520799}}
{"type":"message","id":"f5ad2232","parentId":"ce4b1409","timestamp":"2026-03-29T23:05:26.249Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me read the existing router patterns, config, database, tests, and main.py:"},{"type":"toolCall","id":"toolu_01Y1uqiCrcfpsShM6X5H1pJX","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/routers/creators.py"}},{"type":"toolCall","id":"toolu_014JWEk8LBhD6uQ3HBw2GWiT","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/config.py"}},{"type":"toolCall","id":"toolu_0175w2HHGusyLRrUkDkTfEvN","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/database.py"}},{"type":"toolCall","id":"toolu_01Fgwoke1K1jYCDYhqB19KxN","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/main.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":257,"cacheRead":53622,"cacheWrite":9260,"totalTokens":63140,"cost":{"input":0.000005,"output":0.006425,"cacheRead":0.026810999999999998,"cacheWrite":0.057875,"total":0.091116}},"stopReason":"toolUse","timestamp":1774825520800}}
{"type":"message","id":"7e379536","parentId":"f5ad2232","timestamp":"2026-03-29T23:05:26.254Z","message":{"role":"toolResult","toolCallId":"toolu_01Y1uqiCrcfpsShM6X5H1pJX","toolName":"read","content":[{"type":"text","text":"\"\"\"Creator endpoints for Chrysopedia API.\"\"\"\n\nimport logging\nfrom typing import Annotated\n\nfrom fastapi import APIRouter, Depends, HTTPException, Query\nfrom sqlalchemy import func, select\nfrom sqlalchemy.ext.asyncio import AsyncSession\n\nfrom database import get_session\nfrom models import Creator, SourceVideo\nfrom schemas import CreatorDetail, CreatorRead\n\nlogger = logging.getLogger(\"chrysopedia.creators\")\n\nrouter = APIRouter(prefix=\"/creators\", tags=[\"creators\"])\n\n\n@router.get(\"\", response_model=list[CreatorRead])\nasync def list_creators(\n    offset: Annotated[int, Query(ge=0)] = 0,\n    limit: Annotated[int, Query(ge=1, le=100)] = 50,\n    db: AsyncSession = Depends(get_session),\n) -> list[CreatorRead]:\n    \"\"\"List all creators with pagination.\"\"\"\n    stmt = select(Creator).order_by(Creator.name).offset(offset).limit(limit)\n    result = await db.execute(stmt)\n    creators = result.scalars().all()\n    logger.debug(\"Listed %d creators (offset=%d, limit=%d)\", len(creators), offset, limit)\n    return [CreatorRead.model_validate(c) for c in creators]\n\n\n@router.get(\"/{slug}\", response_model=CreatorDetail)\nasync def get_creator(\n    slug: str,\n    db: AsyncSession = Depends(get_session),\n) -> CreatorDetail:\n    \"\"\"Get a single creator by slug, including video count.\"\"\"\n    stmt = select(Creator).where(Creator.slug == slug)\n    result = await db.execute(stmt)\n    creator = result.scalar_one_or_none()\n\n    if creator is None:\n        raise HTTPException(status_code=404, detail=f\"Creator '{slug}' not found\")\n\n    # Count videos for this creator\n    count_stmt = (\n        select(func.count())\n        .select_from(SourceVideo)\n        .where(SourceVideo.creator_id == creator.id)\n    )\n    count_result = await db.execute(count_stmt)\n    video_count = count_result.scalar() or 0\n\n    creator_data = CreatorRead.model_validate(creator)\n    return CreatorDetail(**creator_data.model_dump(), video_count=video_count)\n"}],"isError":false,"timestamp":1774825526254}}
{"type":"message","id":"4b90ae8f","parentId":"7e379536","timestamp":"2026-03-29T23:05:26.256Z","message":{"role":"toolResult","toolCallId":"toolu_014JWEk8LBhD6uQ3HBw2GWiT","toolName":"read","content":[{"type":"text","text":"\"\"\"Application configuration loaded from environment variables.\"\"\"\n\nfrom functools import lru_cache\n\nfrom pydantic_settings import BaseSettings\n\n\nclass Settings(BaseSettings):\n    \"\"\"Chrysopedia API settings.\n\n    Values are loaded from environment variables (or .env file via\n    pydantic-settings' dotenv support).\n    \"\"\"\n\n    # Database\n    database_url: str = \"postgresql+asyncpg://chrysopedia:changeme@localhost:5433/chrysopedia\"\n\n    # Redis\n    redis_url: str = \"redis://localhost:6379/0\"\n\n    # Application\n    app_env: str = \"development\"\n    app_log_level: str = \"info\"\n    app_secret_key: str = \"changeme-generate-a-real-secret\"\n\n    # CORS\n    cors_origins: list[str] = [\"*\"]\n\n    # LLM endpoint (OpenAI-compatible)\n    llm_api_url: str = \"http://localhost:11434/v1\"\n    llm_api_key: str = \"sk-placeholder\"\n    llm_model: str = \"qwen2.5:14b-q8_0\"\n    llm_fallback_url: str = \"http://localhost:11434/v1\"\n    llm_fallback_model: str = \"qwen2.5:14b-q8_0\"\n\n    # Embedding endpoint\n    embedding_api_url: str = \"http://localhost:11434/v1\"\n    embedding_model: str = \"nomic-embed-text\"\n    embedding_dimensions: int = 768\n\n    # Qdrant\n    qdrant_url: str = \"http://localhost:6333\"\n    qdrant_collection: str = \"chrysopedia\"\n\n    # Prompt templates\n    prompts_path: str = \"./prompts\"\n\n    # Review mode — when True, extracted moments go to review queue before publishing\n    review_mode: bool = True\n\n    # File storage\n    transcript_storage_path: str = \"/data/transcripts\"\n    video_metadata_path: str = \"/data/video_meta\"\n\n    model_config = {\n        \"env_file\": \".env\",\n        \"env_file_encoding\": \"utf-8\",\n        \"case_sensitive\": False,\n    }\n\n\n@lru_cache\ndef get_settings() -> Settings:\n    \"\"\"Return cached application settings (singleton).\"\"\"\n    return Settings()\n"}],"isError":false,"timestamp":1774825526256}}
{"type":"message","id":"8f43c19f","parentId":"4b90ae8f","timestamp":"2026-03-29T23:05:26.259Z","message":{"role":"toolResult","toolCallId":"toolu_0175w2HHGusyLRrUkDkTfEvN","toolName":"read","content":[{"type":"text","text":"\"\"\"Database engine, session factory, and declarative base for Chrysopedia.\"\"\"\n\nimport os\n\nfrom sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine\nfrom sqlalchemy.orm import DeclarativeBase\n\nDATABASE_URL = os.getenv(\n    \"DATABASE_URL\",\n    \"postgresql+asyncpg://chrysopedia:changeme@localhost:5433/chrysopedia\",\n)\n\nengine = create_async_engine(DATABASE_URL, echo=False, pool_pre_ping=True)\n\nasync_session = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)\n\n\nclass Base(DeclarativeBase):\n    \"\"\"Declarative base for all ORM models.\"\"\"\n    pass\n\n\nasync def get_session() -> AsyncSession:  # type: ignore[misc]\n    \"\"\"FastAPI dependency that yields an async DB session.\"\"\"\n    async with async_session() as session:\n        yield session\n"}],"isError":false,"timestamp":1774825526259}}
{"type":"message","id":"68dcbd10","parentId":"8f43c19f","timestamp":"2026-03-29T23:05:26.262Z","message":{"role":"toolResult","toolCallId":"toolu_01Fgwoke1K1jYCDYhqB19KxN","toolName":"read","content":[{"type":"text","text":"\"\"\"Chrysopedia API — Knowledge extraction and retrieval system.\n\nEntry point for the FastAPI application. Configures middleware,\nstructured logging, and mounts versioned API routers.\n\"\"\"\n\nimport logging\nimport sys\nfrom contextlib import asynccontextmanager\n\nfrom fastapi import FastAPI\nfrom fastapi.middleware.cors import CORSMiddleware\n\nfrom config import get_settings\nfrom routers import creators, health, ingest, pipeline, videos\n\n\ndef _setup_logging() -> None:\n    \"\"\"Configure structured logging to stdout.\"\"\"\n    settings = get_settings()\n    level = getattr(logging, settings.app_log_level.upper(), logging.INFO)\n\n    handler = logging.StreamHandler(sys.stdout)\n    handler.setFormatter(\n        logging.Formatter(\n            fmt=\"%(asctime)s | %(levelname)-8s | %(name)s | %(message)s\",\n            datefmt=\"%Y-%m-%dT%H:%M:%S\",\n        )\n    )\n\n    root = logging.getLogger()\n    root.setLevel(level)\n    # Avoid duplicate handlers on reload\n    root.handlers.clear()\n    root.addHandler(handler)\n\n    # Quiet noisy libraries\n    logging.getLogger(\"uvicorn.access\").setLevel(logging.WARNING)\n    logging.getLogger(\"sqlalchemy.engine\").setLevel(logging.WARNING)\n\n\n@asynccontextmanager\nasync def lifespan(app: FastAPI):  # noqa: ARG001\n    \"\"\"Application lifespan: setup on startup, teardown on shutdown.\"\"\"\n    _setup_logging()\n    logger = logging.getLogger(\"chrysopedia\")\n    settings = get_settings()\n    logger.info(\n        \"Chrysopedia API starting (env=%s, log_level=%s)\",\n        settings.app_env,\n        settings.app_log_level,\n    )\n    yield\n    logger.info(\"Chrysopedia API shutting down\")\n\n\napp = FastAPI(\n    title=\"Chrysopedia API\",\n    description=\"Knowledge extraction and retrieval for music production content\",\n    version=\"0.1.0\",\n    lifespan=lifespan,\n)\n\n# ── Middleware ────────────────────────────────────────────────────────────────\n\nsettings = get_settings()\napp.add_middleware(\n    CORSMiddleware,\n    allow_origins=settings.cors_origins,\n    allow_credentials=True,\n    allow_methods=[\"*\"],\n    allow_headers=[\"*\"],\n)\n\n# ── Routers ──────────────────────────────────────────────────────────────────\n\n# Root-level health (no prefix)\napp.include_router(health.router)\n\n# Versioned API\napp.include_router(creators.router, prefix=\"/api/v1\")\napp.include_router(ingest.router, prefix=\"/api/v1\")\napp.include_router(pipeline.router, prefix=\"/api/v1\")\napp.include_router(videos.router, prefix=\"/api/v1\")\n\n\n@app.get(\"/api/v1/health\")\nasync def api_health():\n    \"\"\"Lightweight version-prefixed health endpoint (no DB check).\"\"\"\n    return {\"status\": \"ok\", \"version\": \"0.1.0\"}\n"}],"isError":false,"timestamp":1774825526261}}
{"type":"message","id":"7970a7ee","parentId":"68dcbd10","timestamp":"2026-03-29T23:05:29.829Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me examine the existing test conftest and an existing test file for patterns:"},{"type":"toolCall","id":"toolu_013Azb81XJLJCrnPXVqGhqvb","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/tests/conftest.py"}},{"type":"toolCall","id":"toolu_01JJLnhF6VAbnk21CFWUtDEo","name":"read","arguments":{"path":"/home/aux/projects/content-to-kb-automator/backend/requirements.txt"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":146,"cacheRead":62882,"cacheWrite":2503,"totalTokens":65532,"cost":{"input":0.000005,"output":0.00365,"cacheRead":0.031441,"cacheWrite":0.01564375,"total":0.05073975}},"stopReason":"toolUse","timestamp":1774825526262}}
{"type":"message","id":"de980b38","parentId":"7970a7ee","timestamp":"2026-03-29T23:05:29.834Z","message":{"role":"toolResult","toolCallId":"toolu_013Azb81XJLJCrnPXVqGhqvb","toolName":"read","content":[{"type":"text","text":"\"\"\"Shared fixtures for Chrysopedia integration tests.\n\nProvides:\n- Async SQLAlchemy engine/session against a real PostgreSQL test database\n- Sync SQLAlchemy engine/session for pipeline stage tests (Celery stages are sync)\n- httpx.AsyncClient wired to the FastAPI app with dependency overrides\n- Pre-ingest fixture for pipeline tests\n- Sample transcript fixture path and temporary storage directory\n\nKey design choice: function-scoped engine with NullPool avoids asyncpg\n\"another operation in progress\" errors caused by session-scoped connection\nreuse between the ASGI test client and verification queries.\n\"\"\"\n\nimport json\nimport os\nimport pathlib\nimport uuid\n\nimport pytest\nimport pytest_asyncio\nfrom httpx import ASGITransport, AsyncClient\nfrom sqlalchemy import create_engine\nfrom sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine\nfrom sqlalchemy.orm import Session, sessionmaker\nfrom sqlalchemy.pool import NullPool\n\n# Ensure backend/ is on sys.path so \"from models import ...\" works\nimport sys\nsys.path.insert(0, str(pathlib.Path(__file__).resolve().parent.parent))\n\nfrom database import Base, get_session  # noqa: E402\nfrom main import app  # noqa: E402\nfrom models import (  # noqa: E402\n    ContentType,\n    Creator,\n    ProcessingStatus,\n    SourceVideo,\n    TranscriptSegment,\n)\n\nTEST_DATABASE_URL = os.getenv(\n    \"TEST_DATABASE_URL\",\n    \"postgresql+asyncpg://chrysopedia:changeme@localhost:5433/chrysopedia_test\",\n)\n\nTEST_DATABASE_URL_SYNC = TEST_DATABASE_URL.replace(\n    \"postgresql+asyncpg://\", \"postgresql+psycopg2://\"\n)\n\n\n@pytest_asyncio.fixture()\nasync def db_engine():\n    \"\"\"Create a per-test async engine (NullPool) and create/drop all tables.\"\"\"\n    engine = create_async_engine(TEST_DATABASE_URL, echo=False, poolclass=NullPool)\n\n    # Create all tables fresh for each test\n    async with engine.begin() as conn:\n        await conn.run_sync(Base.metadata.drop_all)\n        await conn.run_sync(Base.metadata.create_all)\n\n    yield engine\n\n    # Drop all tables after test\n    async with engine.begin() as conn:\n        await conn.run_sync(Base.metadata.drop_all)\n\n    await engine.dispose()\n\n\n@pytest_asyncio.fixture()\nasync def client(db_engine, tmp_path):\n    \"\"\"Async HTTP test client wired to FastAPI with dependency overrides.\"\"\"\n    session_factory = async_sessionmaker(\n        db_engine, class_=AsyncSession, expire_on_commit=False\n    )\n\n    async def _override_get_session():\n        async with session_factory() as session:\n            yield session\n\n    # Override DB session dependency\n    app.dependency_overrides[get_session] = _override_get_session\n\n    # Override transcript_storage_path via environment variable\n    os.environ[\"TRANSCRIPT_STORAGE_PATH\"] = str(tmp_path)\n    # Clear the lru_cache so Settings picks up the new env var\n    from config import get_settings\n    get_settings.cache_clear()\n\n    transport = ASGITransport(app=app)\n    async with AsyncClient(transport=transport, base_url=\"http://testserver\") as ac:\n        yield ac\n\n    # Teardown: clean overrides and restore settings cache\n    app.dependency_overrides.clear()\n    os.environ.pop(\"TRANSCRIPT_STORAGE_PATH\", None)\n    get_settings.cache_clear()\n\n\n@pytest.fixture()\ndef sample_transcript_path() -> pathlib.Path:\n    \"\"\"Path to the sample 5-segment transcript JSON fixture.\"\"\"\n    return pathlib.Path(__file__).parent / \"fixtures\" / \"sample_transcript.json\"\n\n\n@pytest.fixture()\ndef tmp_transcript_dir(tmp_path) -> pathlib.Path:\n    \"\"\"Temporary directory for transcript storage during tests.\"\"\"\n    return tmp_path\n\n\n# ── Sync engine/session for pipeline stages ──────────────────────────────────\n\n\n@pytest.fixture()\ndef sync_engine(db_engine):\n    \"\"\"Create a sync SQLAlchemy engine pointing at the test database.\n\n    Tables are already created/dropped by the async ``db_engine`` fixture,\n    so this fixture just wraps a sync engine around the same DB URL.\n    \"\"\"\n    engine = create_engine(TEST_DATABASE_URL_SYNC, echo=False, poolclass=NullPool)\n    yield engine\n    engine.dispose()\n\n\n@pytest.fixture()\ndef sync_session(sync_engine) -> Session:\n    \"\"\"Create a sync SQLAlchemy session for pipeline stage tests.\"\"\"\n    factory = sessionmaker(bind=sync_engine)\n    session = factory()\n    yield session\n    session.close()\n\n\n# ── Pre-ingest fixture for pipeline tests ────────────────────────────────────\n\n\n@pytest.fixture()\ndef pre_ingested_video(sync_engine):\n    \"\"\"Ingest the sample transcript directly into the test DB via sync ORM.\n\n    Returns a dict with ``video_id``, ``creator_id``, and ``segment_count``.\n    \"\"\"\n    factory = sessionmaker(bind=sync_engine)\n    session = factory()\n    try:\n        # Create creator\n        creator = Creator(\n            name=\"Skope\",\n            slug=\"skope\",\n            folder_name=\"Skope\",\n        )\n        session.add(creator)\n        session.flush()\n\n        # Create video\n        video = SourceVideo(\n            creator_id=creator.id,\n            filename=\"mixing-basics-ep1.mp4\",\n            file_path=\"Skope/mixing-basics-ep1.mp4\",\n            duration_seconds=1234,\n            content_type=ContentType.tutorial,\n            processing_status=ProcessingStatus.transcribed,\n        )\n        session.add(video)\n        session.flush()\n\n        # Create transcript segments\n        sample = pathlib.Path(__file__).parent / \"fixtures\" / \"sample_transcript.json\"\n        data = json.loads(sample.read_text())\n        for idx, seg in enumerate(data[\"segments\"]):\n            session.add(TranscriptSegment(\n                source_video_id=video.id,\n                start_time=float(seg[\"start\"]),\n                end_time=float(seg[\"end\"]),\n                text=str(seg[\"text\"]),\n                segment_index=idx,\n            ))\n\n        session.commit()\n\n        result = {\n            \"video_id\": str(video.id),\n            \"creator_id\": str(creator.id),\n            \"segment_count\": len(data[\"segments\"]),\n        }\n    finally:\n        session.close()\n\n    return result\n"}],"isError":false,"timestamp":1774825529833}}
{"type":"message","id":"364d7a58","parentId":"de980b38","timestamp":"2026-03-29T23:05:29.838Z","message":{"role":"toolResult","toolCallId":"toolu_01JJLnhF6VAbnk21CFWUtDEo","toolName":"read","content":[{"type":"text","text":"fastapi>=0.115.0,<1.0\nuvicorn[standard]>=0.32.0,<1.0\nsqlalchemy[asyncio]>=2.0,<3.0\nasyncpg>=0.30.0,<1.0\nalembic>=1.14.0,<2.0\npydantic>=2.0,<3.0\npydantic-settings>=2.0,<3.0\ncelery[redis]>=5.4.0,<6.0\nredis>=5.0,<6.0\npython-dotenv>=1.0,<2.0\npython-multipart>=0.0.9,<1.0\nhttpx>=0.27.0,<1.0\nopenai>=1.0,<2.0\nqdrant-client>=1.9,<2.0\npyyaml>=6.0,<7.0\npsycopg2-binary>=2.9,<3.0\n# Test dependencies\npytest>=8.0,<10.0\npytest-asyncio>=0.24,<1.0\n"}],"isError":false,"timestamp":1774825529837}}
{"type":"message","id":"33cfb90b","parentId":"364d7a58","timestamp":"2026-03-29T23:05:34.152Z","message":{"role":"assistant","content":[{"type":"text","text":"Good — `redis` is already in requirements.txt. Let me also check an existing test file for patterns, and see the router directory structure:"},{"type":"toolCall","id":"toolu_014g5tboy1G4Vn3GPSFKq8w3","name":"bash","arguments":{"command":"ls /home/aux/projects/content-to-kb-automator/backend/routers/"}},{"type":"toolCall","id":"toolu_01Gz2zjmzPs9nJbcEuURRudu","name":"bash","arguments":{"command":"ls /home/aux/projects/content-to-kb-automator/backend/tests/"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":159,"cacheRead":65385,"cacheWrite":2132,"totalTokens":67677,"cost":{"input":0.000005,"output":0.003975,"cacheRead":0.0326925,"cacheWrite":0.013325,"total":0.0499975}},"stopReason":"toolUse","timestamp":1774825529837}}
{"type":"message","id":"5207ef97","parentId":"33cfb90b","timestamp":"2026-03-29T23:05:34.175Z","message":{"role":"toolResult","toolCallId":"toolu_014g5tboy1G4Vn3GPSFKq8w3","toolName":"bash","content":[{"type":"text","text":"creators.py\nhealth.py\ningest.py\n__init__.py\npipeline.py\n__pycache__\nvideos.py\n"}],"isError":false,"timestamp":1774825534175}}
{"type":"message","id":"6f262c3c","parentId":"5207ef97","timestamp":"2026-03-29T23:05:34.177Z","message":{"role":"toolResult","toolCallId":"toolu_01Gz2zjmzPs9nJbcEuURRudu","toolName":"bash","content":[{"type":"text","text":"conftest.py\nfixtures\n__init__.py\n__pycache__\ntest_ingest.py\ntest_pipeline.py\n"}],"isError":false,"timestamp":1774825534175}}
{"type":"message","id":"a796fa13","parentId":"6f262c3c","timestamp":"2026-03-29T23:05:36.830Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01VyXNt2695ktBEWvf6gMBgP","name":"read","arguments":{"limit":50,"path":"/home/aux/projects/content-to-kb-automator/backend/tests/test_ingest.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":93,"cacheRead":67517,"cacheWrite":283,"totalTokens":67894,"cost":{"input":0.000005,"output":0.0023250000000000002,"cacheRead":0.0337585,"cacheWrite":0.0017687500000000001,"total":0.037857249999999995}},"stopReason":"toolUse","timestamp":1774825534176}}
{"type":"message","id":"bc611644","parentId":"a796fa13","timestamp":"2026-03-29T23:05:36.836Z","message":{"role":"toolResult","toolCallId":"toolu_01VyXNt2695ktBEWvf6gMBgP","toolName":"read","content":[{"type":"text","text":"\"\"\"Integration tests for the transcript ingest endpoint.\n\nTests run against a real PostgreSQL database via httpx.AsyncClient\non the FastAPI ASGI app. Each test gets a clean database state via\nTRUNCATE in the client fixture (conftest.py).\n\"\"\"\n\nimport json\nimport pathlib\n\nimport pytest\nfrom httpx import AsyncClient\nfrom sqlalchemy import func, select, text\nfrom sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker\n\nfrom models import Creator, SourceVideo, TranscriptSegment\n\n\n# ── Helpers ──────────────────────────────────────────────────────────────────\n\nINGEST_URL = \"/api/v1/ingest\"\n\n\ndef _upload_file(path: pathlib.Path):\n    \"\"\"Return a dict suitable for httpx multipart file upload.\"\"\"\n    return {\"file\": (path.name, path.read_bytes(), \"application/json\")}\n\n\nasync def _query_db(db_engine, stmt):\n    \"\"\"Run a read query in its own session to avoid connection contention.\"\"\"\n    session_factory = async_sessionmaker(\n        db_engine, class_=AsyncSession, expire_on_commit=False\n    )\n    async with session_factory() as session:\n        result = await session.execute(stmt)\n        return result\n\n\nasync def _count_rows(db_engine, model):\n    \"\"\"Count rows in a table via a fresh session.\"\"\"\n    result = await _query_db(db_engine, select(func.count(model.id)))\n    return result.scalar_one()\n\n\n# ── Happy-path tests ────────────────────────────────────────────────────────\n\n\nasync def test_ingest_creates_creator_and_video(client, sample_transcript_path, db_engine):\n    \"\"\"POST a valid transcript → 200 with creator, video, and 5 segments created.\"\"\"\n    resp = await client.post(INGEST_URL, files=_upload_file(sample_transcript_path))\n\n[130 more lines in file. Use offset=51 to continue.]"}],"isError":false,"timestamp":1774825536834}}
{"type":"message","id":"baaea568","parentId":"bc611644","timestamp":"2026-03-29T23:05:47.483Z","message":{"role":"assistant","content":[{"type":"text","text":"I have a thorough understanding of the codebase patterns. Let me implement all the pieces now.\n\n**Step 1: Add review-specific Pydantic schemas to `backend/schemas.py`.**"},{"type":"toolCall","id":"toolu_01AYrqu8mZJSiiFjcudd2DLK","name":"edit","arguments":{"newText":"class PaginatedResponse(BaseModel):\n    \"\"\"Generic paginated list response.\"\"\"\n    items: list = Field(default_factory=list)\n    total: int = 0\n    offset: int = 0\n    limit: int = 50\n\n\n# ── Review Queue ─────────────────────────────────────────────────────────────\n\nclass ReviewQueueItem(KeyMomentRead):\n    \"\"\"Key moment enriched with source video and creator info for review UI.\"\"\"\n    video_filename: str\n    creator_name: str\n\n\nclass ReviewQueueResponse(BaseModel):\n    \"\"\"Paginated response for the review queue.\"\"\"\n    items: list[ReviewQueueItem] = Field(default_factory=list)\n    total: int = 0\n    offset: int = 0\n    limit: int = 50\n\n\nclass ReviewStatsResponse(BaseModel):\n    \"\"\"Counts of key moments grouped by review status.\"\"\"\n    pending: int = 0\n    approved: int = 0\n    edited: int = 0\n    rejected: int = 0\n\n\nclass MomentEditRequest(BaseModel):\n    \"\"\"Editable fields for a key moment.\"\"\"\n    title: str | None = None\n    summary: str | None = None\n    start_time: float | None = None\n    end_time: float | None = None\n    content_type: str | None = None\n    plugins: list[str] | None = None\n\n\nclass MomentSplitRequest(BaseModel):\n    \"\"\"Request to split a moment at a given timestamp.\"\"\"\n    split_time: float\n\n\nclass MomentMergeRequest(BaseModel):\n    \"\"\"Request to merge two moments.\"\"\"\n    target_moment_id: uuid.UUID\n\n\nclass ReviewModeResponse(BaseModel):\n    \"\"\"Current review mode state.\"\"\"\n    review_mode: bool\n\n\nclass ReviewModeUpdate(BaseModel):\n    \"\"\"Request to update the review mode.\"\"\"\n    review_mode: bool","oldText":"class PaginatedResponse(BaseModel):\n    \"\"\"Generic paginated list response.\"\"\"\n    items: list = Field(default_factory=list)\n    total: int = 0\n    offset: int = 0\n    limit: int = 50","path":"/home/aux/projects/content-to-kb-automator/backend/schemas.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":655,"cacheRead":67517,"cacheWrite":867,"totalTokens":69040,"cost":{"input":0.000005,"output":0.016375,"cacheRead":0.0337585,"cacheWrite":0.00541875,"total":0.05555725}},"stopReason":"toolUse","timestamp":1774825536835}}
{"type":"message","id":"dcd1485a","parentId":"baaea568","timestamp":"2026-03-29T23:05:47.494Z","message":{"role":"toolResult","toolCallId":"toolu_01AYrqu8mZJSiiFjcudd2DLK","toolName":"edit","content":[{"type":"text","text":"Successfully replaced text in /home/aux/projects/content-to-kb-automator/backend/schemas.py."}],"details":{"diff":" 193     items: list = Field(default_factory=list)\n 194     total: int = 0\n 195     offset: int = 0\n 196     limit: int = 50\n+197 \n+198 \n+199 # ── Review Queue ─────────────────────────────────────────────────────────────\n+200 \n+201 class ReviewQueueItem(KeyMomentRead):\n+202     \"\"\"Key moment enriched with source video and creator info for review UI.\"\"\"\n+203     video_filename: str\n+204     creator_name: str\n+205 \n+206 \n+207 class ReviewQueueResponse(BaseModel):\n+208     \"\"\"Paginated response for the review queue.\"\"\"\n+209     items: list[ReviewQueueItem] = Field(default_factory=list)\n+210     total: int = 0\n+211     offset: int = 0\n+212     limit: int = 50\n+213 \n+214 \n+215 class ReviewStatsResponse(BaseModel):\n+216     \"\"\"Counts of key moments grouped by review status.\"\"\"\n+217     pending: int = 0\n+218     approved: int = 0\n+219     edited: int = 0\n+220     rejected: int = 0\n+221 \n+222 \n+223 class MomentEditRequest(BaseModel):\n+224     \"\"\"Editable fields for a key moment.\"\"\"\n+225     title: str | None = None\n+226     summary: str | None = None\n+227     start_time: float | None = None\n+228     end_time: float | None = None\n+229     content_type: str | None = None\n+230     plugins: list[str] | None = None\n+231 \n+232 \n+233 class MomentSplitRequest(BaseModel):\n+234     \"\"\"Request to split a moment at a given timestamp.\"\"\"\n+235     split_time: float\n+236 \n+237 \n+238 class MomentMergeRequest(BaseModel):\n+239     \"\"\"Request to merge two moments.\"\"\"\n+240     target_moment_id: uuid.UUID\n+241 \n+242 \n+243 class ReviewModeResponse(BaseModel):\n+244     \"\"\"Current review mode state.\"\"\"\n+245     review_mode: bool\n+246 \n+247 \n+248 class ReviewModeUpdate(BaseModel):\n+249     \"\"\"Request to update the review mode.\"\"\"\n+250     review_mode: bool","firstChangedLine":197},"isError":false,"timestamp":1774825547493}}
{"type":"message","id":"12399c50","parentId":"dcd1485a","timestamp":"2026-03-29T23:05:52.969Z","message":{"role":"assistant","content":[{"type":"text","text":"**Step 2: Create `backend/redis_client.py`.**"},{"type":"toolCall","id":"toolu_01MGczX9kienmruGUeAXGJPU","name":"write","arguments":{"content":"\"\"\"Async Redis client helper for Chrysopedia.\"\"\"\n\nimport redis.asyncio as aioredis\n\nfrom config import get_settings\n\n\nasync def get_redis() -> aioredis.Redis:\n    \"\"\"Return an async Redis client from the configured URL.\n\n    Callers should close the connection when done, or use it\n    as a short-lived client within a request handler.\n    \"\"\"\n    settings = get_settings()\n    return aioredis.from_url(settings.redis_url, decode_responses=True)\n","path":"/home/aux/projects/content-to-kb-automator/backend/redis_client.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":228,"cacheRead":68384,"cacheWrite":692,"totalTokens":69305,"cost":{"input":0.000005,"output":0.0057,"cacheRead":0.034192,"cacheWrite":0.004325,"total":0.044222000000000004}},"stopReason":"toolUse","timestamp":1774825547493}}
{"type":"message","id":"da52ad6b","parentId":"12399c50","timestamp":"2026-03-29T23:05:52.977Z","message":{"role":"toolResult","toolCallId":"toolu_01MGczX9kienmruGUeAXGJPU","toolName":"write","content":[{"type":"text","text":"Successfully wrote 446 bytes to /home/aux/projects/content-to-kb-automator/backend/redis_client.py"}],"isError":false,"timestamp":1774825552975}}
{"type":"message","id":"2b89d633","parentId":"da52ad6b","timestamp":"2026-03-29T23:06:31.534Z","message":{"role":"assistant","content":[{"type":"text","text":"**Step 3: Create `backend/routers/review.py` with all 9 endpoints.**"},{"type":"toolCall","id":"toolu_01F6mtYZKh7qZdr4drvikyFx","name":"write","arguments":{"content":"\"\"\"Review queue endpoints for Chrysopedia API.\n\nProvides admin review workflow: list queue, stats, approve, reject,\nedit, split, merge key moments, and toggle review/auto mode via Redis.\n\"\"\"\n\nimport logging\nimport uuid\nfrom typing import Annotated\n\nfrom fastapi import APIRouter, Depends, HTTPException, Query\nfrom sqlalchemy import case, func, select\nfrom sqlalchemy.ext.asyncio import AsyncSession\n\nfrom config import get_settings\nfrom database import get_session\nfrom models import Creator, KeyMoment, KeyMomentContentType, ReviewStatus, SourceVideo\nfrom redis_client import get_redis\nfrom schemas import (\n    KeyMomentRead,\n    MomentEditRequest,\n    MomentMergeRequest,\n    MomentSplitRequest,\n    ReviewModeResponse,\n    ReviewModeUpdate,\n    ReviewQueueItem,\n    ReviewQueueResponse,\n    ReviewStatsResponse,\n)\n\nlogger = logging.getLogger(\"chrysopedia.review\")\n\nrouter = APIRouter(prefix=\"/review\", tags=[\"review\"])\n\nREDIS_MODE_KEY = \"chrysopedia:review_mode\"\n\nVALID_STATUSES = {\"pending\", \"approved\", \"edited\", \"rejected\", \"all\"}\n\n\n# ── Helpers ──────────────────────────────────────────────────────────────────\n\n\ndef _moment_to_queue_item(\n    moment: KeyMoment, video_filename: str, creator_name: str\n) -> ReviewQueueItem:\n    \"\"\"Convert a KeyMoment ORM instance + joined fields to a ReviewQueueItem.\"\"\"\n    data = KeyMomentRead.model_validate(moment).model_dump()\n    data[\"video_filename\"] = video_filename\n    data[\"creator_name\"] = creator_name\n    return ReviewQueueItem(**data)\n\n\n# ── Endpoints ────────────────────────────────────────────────────────────────\n\n\n@router.get(\"/queue\", response_model=ReviewQueueResponse)\nasync def list_queue(\n    status: Annotated[str, Query()] = \"pending\",\n    offset: Annotated[int, Query(ge=0)] = 0,\n    limit: Annotated[int, Query(ge=1, le=100)] = 50,\n    db: AsyncSession = Depends(get_session),\n) -> ReviewQueueResponse:\n    \"\"\"List key moments in the review queue, filtered by status.\"\"\"\n    if status not in VALID_STATUSES:\n        raise HTTPException(\n            status_code=400,\n            detail=f\"Invalid status filter '{status}'. Must be one of: {', '.join(sorted(VALID_STATUSES))}\",\n        )\n\n    # Base query joining KeyMoment → SourceVideo → Creator\n    base = (\n        select(\n            KeyMoment,\n            SourceVideo.filename.label(\"video_filename\"),\n            Creator.name.label(\"creator_name\"),\n        )\n        .join(SourceVideo, KeyMoment.source_video_id == SourceVideo.id)\n        .join(Creator, SourceVideo.creator_id == Creator.id)\n    )\n\n    if status != \"all\":\n        base = base.where(KeyMoment.review_status == ReviewStatus(status))\n\n    # Count total matching rows\n    count_stmt = select(func.count()).select_from(base.subquery())\n    total = (await db.execute(count_stmt)).scalar_one()\n\n    # Fetch paginated results\n    stmt = base.order_by(KeyMoment.created_at.desc()).offset(offset).limit(limit)\n    rows = (await db.execute(stmt)).all()\n\n    items = [\n        _moment_to_queue_item(row.KeyMoment, row.video_filename, row.creator_name)\n        for row in rows\n    ]\n\n    return ReviewQueueResponse(items=items, total=total, offset=offset, limit=limit)\n\n\n@router.get(\"/stats\", response_model=ReviewStatsResponse)\nasync def get_stats(\n    db: AsyncSession = Depends(get_session),\n) -> ReviewStatsResponse:\n    \"\"\"Return counts of key moments grouped by review status.\"\"\"\n    stmt = (\n        select(\n            KeyMoment.review_status,\n            func.count().label(\"cnt\"),\n        )\n        .group_by(KeyMoment.review_status)\n    )\n    result = await db.execute(stmt)\n    counts = {row.review_status.value: row.cnt for row in result.all()}\n\n    return ReviewStatsResponse(\n        pending=counts.get(\"pending\", 0),\n        approved=counts.get(\"approved\", 0),\n        edited=counts.get(\"edited\", 0),\n        rejected=counts.get(\"rejected\", 0),\n    )\n\n\n@router.post(\"/moments/{moment_id}/approve\", response_model=KeyMomentRead)\nasync def approve_moment(\n    moment_id: uuid.UUID,\n    db: AsyncSession = Depends(get_session),\n) -> KeyMomentRead:\n    \"\"\"Approve a key moment for publishing.\"\"\"\n    moment = await db.get(KeyMoment, moment_id)\n    if moment is None:\n        raise HTTPException(\n            status_code=404,\n            detail=f\"Key moment {moment_id} not found\",\n        )\n\n    moment.review_status = ReviewStatus.approved\n    await db.commit()\n    await db.refresh(moment)\n\n    logger.info(\"Approved key moment %s\", moment_id)\n    return KeyMomentRead.model_validate(moment)\n\n\n@router.post(\"/moments/{moment_id}/reject\", response_model=KeyMomentRead)\nasync def reject_moment(\n    moment_id: uuid.UUID,\n    db: AsyncSession = Depends(get_session),\n) -> KeyMomentRead:\n    \"\"\"Reject a key moment.\"\"\"\n    moment = await db.get(KeyMoment, moment_id)\n    if moment is None:\n        raise HTTPException(\n            status_code=404,\n            detail=f\"Key moment {moment_id} not found\",\n        )\n\n    moment.review_status = ReviewStatus.rejected\n    await db.commit()\n    await db.refresh(moment)\n\n    logger.info(\"Rejected key moment %s\", moment_id)\n    return KeyMomentRead.model_validate(moment)\n\n\n@router.put(\"/moments/{moment_id}\", response_model=KeyMomentRead)\nasync def edit_moment(\n    moment_id: uuid.UUID,\n    body: MomentEditRequest,\n    db: AsyncSession = Depends(get_session),\n) -> KeyMomentRead:\n    \"\"\"Update editable fields of a key moment and set status to edited.\"\"\"\n    moment = await db.get(KeyMoment, moment_id)\n    if moment is None:\n        raise HTTPException(\n            status_code=404,\n            detail=f\"Key moment {moment_id} not found\",\n        )\n\n    update_data = body.model_dump(exclude_unset=True)\n    # Convert content_type string to enum if provided\n    if \"content_type\" in update_data and update_data[\"content_type\"] is not None:\n        try:\n            update_data[\"content_type\"] = KeyMomentContentType(update_data[\"content_type\"])\n        except ValueError:\n            raise HTTPException(\n                status_code=400,\n                detail=f\"Invalid content_type '{update_data['content_type']}'\",\n            )\n\n    for field, value in update_data.items():\n        setattr(moment, field, value)\n\n    moment.review_status = ReviewStatus.edited\n    await db.commit()\n    await db.refresh(moment)\n\n    logger.info(\"Edited key moment %s (fields: %s)\", moment_id, list(update_data.keys()))\n    return KeyMomentRead.model_validate(moment)\n\n\n@router.post(\"/moments/{moment_id}/split\", response_model=list[KeyMomentRead])\nasync def split_moment(\n    moment_id: uuid.UUID,\n    body: MomentSplitRequest,\n    db: AsyncSession = Depends(get_session),\n) -> list[KeyMomentRead]:\n    \"\"\"Split a key moment into two at the given timestamp.\"\"\"\n    moment = await db.get(KeyMoment, moment_id)\n    if moment is None:\n        raise HTTPException(\n            status_code=404,\n            detail=f\"Key moment {moment_id} not found\",\n        )\n\n    # Validate split_time is strictly between start_time and end_time\n    if body.split_time <= moment.start_time or body.split_time >= moment.end_time:\n        raise HTTPException(\n            status_code=400,\n            detail=(\n                f\"split_time ({body.split_time}) must be strictly between \"\n                f\"start_time ({moment.start_time}) and end_time ({moment.end_time})\"\n            ),\n        )\n\n    # Update original moment to [start_time, split_time)\n    original_end = moment.end_time\n    moment.end_time = body.split_time\n    moment.review_status = ReviewStatus.pending\n\n    # Create new moment for [split_time, end_time]\n    new_moment = KeyMoment(\n        source_video_id=moment.source_video_id,\n        technique_page_id=moment.technique_page_id,\n        title=f\"{moment.title} (split)\",\n        summary=moment.summary,\n        start_time=body.split_time,\n        end_time=original_end,\n        content_type=moment.content_type,\n        plugins=moment.plugins,\n        review_status=ReviewStatus.pending,\n        raw_transcript=moment.raw_transcript,\n    )\n    db.add(new_moment)\n\n    await db.commit()\n    await db.refresh(moment)\n    await db.refresh(new_moment)\n\n    logger.info(\n        \"Split key moment %s at %.2f → original [%.2f, %.2f), new [%.2f, %.2f]\",\n        moment_id, body.split_time,\n        moment.start_time, moment.end_time,\n        new_moment.start_time, new_moment.end_time,\n    )\n\n    return [\n        KeyMomentRead.model_validate(moment),\n        KeyMomentRead.model_validate(new_moment),\n    ]\n\n\n@router.post(\"/moments/{moment_id}/merge\", response_model=KeyMomentRead)\nasync def merge_moments(\n    moment_id: uuid.UUID,\n    body: MomentMergeRequest,\n    db: AsyncSession = Depends(get_session),\n) -> KeyMomentRead:\n    \"\"\"Merge two key moments into one.\"\"\"\n    if moment_id == body.target_moment_id:\n        raise HTTPException(\n            status_code=400,\n            detail=\"Cannot merge a moment with itself\",\n        )\n\n    source = await db.get(KeyMoment, moment_id)\n    if source is None:\n        raise HTTPException(\n            status_code=404,\n            detail=f\"Key moment {moment_id} not found\",\n        )\n\n    target = await db.get(KeyMoment, body.target_moment_id)\n    if target is None:\n        raise HTTPException(\n            status_code=404,\n            detail=f\"Target key moment {body.target_moment_id} not found\",\n        )\n\n    # Both must belong to the same source video\n    if source.source_video_id != target.source_video_id:\n        raise HTTPException(\n            status_code=400,\n            detail=\"Cannot merge moments from different source videos\",\n        )\n\n    # Merge: combined summary, min start, max end\n    source.summary = f\"{source.summary}\\n\\n{target.summary}\"\n    source.start_time = min(source.start_time, target.start_time)\n    source.end_time = max(source.end_time, target.end_time)\n    source.review_status = ReviewStatus.pending\n\n    # Delete target\n    await db.delete(target)\n    await db.commit()\n    await db.refresh(source)\n\n    logger.info(\n        \"Merged key moment %s with %s → [%.2f, %.2f]\",\n        moment_id, body.target_moment_id,\n        source.start_time, source.end_time,\n    )\n\n    return KeyMomentRead.model_validate(source)\n\n\n@router.get(\"/mode\", response_model=ReviewModeResponse)\nasync def get_mode() -> ReviewModeResponse:\n    \"\"\"Get the current review mode (review vs auto).\"\"\"\n    settings = get_settings()\n    try:\n        redis = await get_redis()\n        try:\n            value = await redis.get(REDIS_MODE_KEY)\n            if value is not None:\n                return ReviewModeResponse(review_mode=value.lower() == \"true\")\n        finally:\n            await redis.aclose()\n    except Exception as exc:\n        # Redis unavailable — fall back to config default\n        logger.warning(\"Redis unavailable for mode read, using config default: %s\", exc)\n\n    return ReviewModeResponse(review_mode=settings.review_mode)\n\n\n@router.put(\"/mode\", response_model=ReviewModeResponse)\nasync def set_mode(\n    body: ReviewModeUpdate,\n) -> ReviewModeResponse:\n    \"\"\"Set the review mode (review vs auto).\"\"\"\n    try:\n        redis = await get_redis()\n        try:\n            await redis.set(REDIS_MODE_KEY, str(body.review_mode))\n        finally:\n            await redis.aclose()\n    except Exception as exc:\n        logger.error(\"Failed to set review mode in Redis: %s\", exc)\n        raise HTTPException(\n            status_code=503,\n            detail=f\"Redis unavailable: {exc}\",\n        )\n\n    logger.info(\"Review mode set to %s\", body.review_mode)\n    return ReviewModeResponse(review_mode=body.review_mode)\n","path":"/home/aux/projects/content-to-kb-automator/backend/routers/review.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":3542,"cacheRead":69076,"cacheWrite":270,"totalTokens":72889,"cost":{"input":0.000005,"output":0.08855,"cacheRead":0.034538,"cacheWrite":0.0016875,"total":0.1247805}},"stopReason":"toolUse","timestamp":1774825552976}}
{"type":"message","id":"48abce3e","parentId":"2b89d633","timestamp":"2026-03-29T23:06:31.540Z","message":{"role":"toolResult","toolCallId":"toolu_01F6mtYZKh7qZdr4drvikyFx","toolName":"write","content":[{"type":"text","text":"Successfully wrote 11517 bytes to /home/aux/projects/content-to-kb-automator/backend/routers/review.py"}],"isError":false,"timestamp":1774825591539}}
{"type":"message","id":"625b6040","parentId":"48abce3e","timestamp":"2026-03-29T23:06:35.117Z","message":{"role":"assistant","content":[{"type":"text","text":"**Step 4: Mount the review router in `backend/main.py`.**"},{"type":"toolCall","id":"toolu_01PKWDsE5xmzvqeVuUrQXJeb","name":"edit","arguments":{"newText":"from routers import creators, health, ingest, pipeline, review, videos","oldText":"from routers import creators, health, ingest, pipeline, videos","path":"/home/aux/projects/content-to-kb-automator/backend/main.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":154,"cacheRead":69346,"cacheWrite":3586,"totalTokens":73087,"cost":{"input":0.000005,"output":0.00385,"cacheRead":0.034672999999999995,"cacheWrite":0.022412500000000002,"total":0.060940499999999995}},"stopReason":"toolUse","timestamp":1774825591539}}
{"type":"message","id":"6330e80d","parentId":"625b6040","timestamp":"2026-03-29T23:06:35.130Z","message":{"role":"toolResult","toolCallId":"toolu_01PKWDsE5xmzvqeVuUrQXJeb","toolName":"edit","content":[{"type":"text","text":"Successfully replaced text in /home/aux/projects/content-to-kb-automator/backend/main.py."}],"details":{"diff":" 11 from fastapi import FastAPI\n 12 from fastapi.middleware.cors import CORSMiddleware\n 13 \n 14 from config import get_settings\n-15 from routers import creators, health, ingest, pipeline, videos\n+15 from routers import creators, health, ingest, pipeline, review, videos\n 16 \n 17 \n 18 def _setup_logging() -> None:\n 19     \"\"\"Configure structured logging to stdout.\"\"\"","firstChangedLine":15},"isError":false,"timestamp":1774825595129}}
{"type":"message","id":"8656e299","parentId":"6330e80d","timestamp":"2026-03-29T23:06:38.718Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01NUasUa7ZnfXpt5rP7pWCSf","name":"edit","arguments":{"newText":"app.include_router(creators.router, prefix=\"/api/v1\")\napp.include_router(ingest.router, prefix=\"/api/v1\")\napp.include_router(pipeline.router, prefix=\"/api/v1\")\napp.include_router(review.router, prefix=\"/api/v1\")\napp.include_router(videos.router, prefix=\"/api/v1\")","oldText":"app.include_router(creators.router, prefix=\"/api/v1\")\napp.include_router(ingest.router, prefix=\"/api/v1\")\napp.include_router(pipeline.router, prefix=\"/api/v1\")\napp.include_router(videos.router, prefix=\"/api/v1\")","path":"/home/aux/projects/content-to-kb-automator/backend/main.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":267,"cacheRead":72932,"cacheWrite":191,"totalTokens":73391,"cost":{"input":0.000005,"output":0.006675,"cacheRead":0.036466,"cacheWrite":0.0011937500000000001,"total":0.04433975}},"stopReason":"toolUse","timestamp":1774825595129}}
{"type":"message","id":"1d3c0de6","parentId":"8656e299","timestamp":"2026-03-29T23:06:38.730Z","message":{"role":"toolResult","toolCallId":"toolu_01NUasUa7ZnfXpt5rP7pWCSf","toolName":"edit","content":[{"type":"text","text":"Successfully replaced text in /home/aux/projects/content-to-kb-automator/backend/main.py."}],"details":{"diff":" 80 # Versioned API\n 81 app.include_router(creators.router, prefix=\"/api/v1\")\n 82 app.include_router(ingest.router, prefix=\"/api/v1\")\n 83 app.include_router(pipeline.router, prefix=\"/api/v1\")\n+84 app.include_router(review.router, prefix=\"/api/v1\")\n 85 app.include_router(videos.router, prefix=\"/api/v1\")\n 86 \n 87 \n 88 @app.get(\"/api/v1/health\")","firstChangedLine":84},"isError":false,"timestamp":1774825598729}}
{"type":"message","id":"816634c2","parentId":"1d3c0de6","timestamp":"2026-03-29T23:06:42.502Z","message":{"role":"assistant","content":[{"type":"text","text":"**Step 5: Verify route count before writing tests.**"},{"type":"toolCall","id":"toolu_01Wi3MffGS9r6vFYzRnqDYav","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator/backend && python -c \"from routers.review import router; print(len(router.routes))\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":105,"cacheRead":73123,"cacheWrite":304,"totalTokens":73533,"cost":{"input":0.000005,"output":0.002625,"cacheRead":0.0365615,"cacheWrite":0.0019,"total":0.041091499999999996}},"stopReason":"toolUse","timestamp":1774825598729}}
{"type":"message","id":"7dae55c7","parentId":"816634c2","timestamp":"2026-03-29T23:06:43.089Z","message":{"role":"toolResult","toolCallId":"toolu_01Wi3MffGS9r6vFYzRnqDYav","toolName":"bash","content":[{"type":"text","text":"9\n"}],"isError":false,"timestamp":1774825603087}}
{"type":"message","id":"dd25739a","parentId":"7dae55c7","timestamp":"2026-03-29T23:07:36.966Z","message":{"role":"assistant","content":[{"type":"text","text":"9 routes confirmed. Now I'll create the comprehensive test file.\n\n**Step 6: Create `backend/tests/test_review.py`.**"},{"type":"toolCall","id":"toolu_011XVaqx9Vw6d9VwcyttCkGd","name":"write","arguments":{"content":"\"\"\"Integration tests for the review queue endpoints.\n\nTests run against a real PostgreSQL test database via httpx.AsyncClient.\nRedis is mocked for mode toggle tests.\n\"\"\"\n\nimport uuid\nfrom unittest.mock import AsyncMock, patch\n\nimport pytest\nimport pytest_asyncio\nfrom httpx import AsyncClient\nfrom sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker\n\nfrom models import (\n    ContentType,\n    Creator,\n    KeyMoment,\n    KeyMomentContentType,\n    ProcessingStatus,\n    ReviewStatus,\n    SourceVideo,\n)\n\n\n# ── Helpers ──────────────────────────────────────────────────────────────────\n\nQUEUE_URL = \"/api/v1/review/queue\"\nSTATS_URL = \"/api/v1/review/stats\"\nMODE_URL = \"/api/v1/review/mode\"\n\n\ndef _moment_url(moment_id: str, action: str = \"\") -> str:\n    \"\"\"Build a moment action URL.\"\"\"\n    base = f\"/api/v1/review/moments/{moment_id}\"\n    return f\"{base}/{action}\" if action else base\n\n\nasync def _seed_creator_and_video(db_engine) -> dict:\n    \"\"\"Seed a creator and source video, return their IDs.\"\"\"\n    session_factory = async_sessionmaker(\n        db_engine, class_=AsyncSession, expire_on_commit=False\n    )\n    async with session_factory() as session:\n        creator = Creator(\n            name=\"TestCreator\",\n            slug=\"test-creator\",\n            folder_name=\"TestCreator\",\n        )\n        session.add(creator)\n        await session.flush()\n\n        video = SourceVideo(\n            creator_id=creator.id,\n            filename=\"test-video.mp4\",\n            file_path=\"TestCreator/test-video.mp4\",\n            duration_seconds=600,\n            content_type=ContentType.tutorial,\n            processing_status=ProcessingStatus.extracted,\n        )\n        session.add(video)\n        await session.flush()\n\n        result = {\n            \"creator_id\": creator.id,\n            \"creator_name\": creator.name,\n            \"video_id\": video.id,\n            \"video_filename\": video.filename,\n        }\n        await session.commit()\n        return result\n\n\nasync def _seed_moment(\n    db_engine,\n    video_id: uuid.UUID,\n    title: str = \"Test Moment\",\n    summary: str = \"A test key moment\",\n    start_time: float = 10.0,\n    end_time: float = 30.0,\n    review_status: ReviewStatus = ReviewStatus.pending,\n) -> uuid.UUID:\n    \"\"\"Seed a single key moment and return its ID.\"\"\"\n    session_factory = async_sessionmaker(\n        db_engine, class_=AsyncSession, expire_on_commit=False\n    )\n    async with session_factory() as session:\n        moment = KeyMoment(\n            source_video_id=video_id,\n            title=title,\n            summary=summary,\n            start_time=start_time,\n            end_time=end_time,\n            content_type=KeyMomentContentType.technique,\n            review_status=review_status,\n        )\n        session.add(moment)\n        await session.commit()\n        return moment.id\n\n\nasync def _seed_second_video(db_engine, creator_id: uuid.UUID) -> uuid.UUID:\n    \"\"\"Seed a second video for cross-video merge tests.\"\"\"\n    session_factory = async_sessionmaker(\n        db_engine, class_=AsyncSession, expire_on_commit=False\n    )\n    async with session_factory() as session:\n        video = SourceVideo(\n            creator_id=creator_id,\n            filename=\"other-video.mp4\",\n            file_path=\"TestCreator/other-video.mp4\",\n            duration_seconds=300,\n            content_type=ContentType.tutorial,\n            processing_status=ProcessingStatus.extracted,\n        )\n        session.add(video)\n        await session.commit()\n        return video.id\n\n\n# ── Queue listing tests ─────────────────────────────────────────────────────\n\n\n@pytest.mark.asyncio\nasync def test_list_queue_empty(client: AsyncClient):\n    \"\"\"Queue returns empty list when no moments exist.\"\"\"\n    resp = await client.get(QUEUE_URL)\n    assert resp.status_code == 200\n    data = resp.json()\n    assert data[\"items\"] == []\n    assert data[\"total\"] == 0\n\n\n@pytest.mark.asyncio\nasync def test_list_queue_with_moments(client: AsyncClient, db_engine):\n    \"\"\"Queue returns moments enriched with video filename and creator name.\"\"\"\n    seed = await _seed_creator_and_video(db_engine)\n    await _seed_moment(db_engine, seed[\"video_id\"], title=\"EQ Basics\")\n\n    resp = await client.get(QUEUE_URL)\n    assert resp.status_code == 200\n    data = resp.json()\n    assert data[\"total\"] == 1\n    item = data[\"items\"][0]\n    assert item[\"title\"] == \"EQ Basics\"\n    assert item[\"video_filename\"] == seed[\"video_filename\"]\n    assert item[\"creator_name\"] == seed[\"creator_name\"]\n    assert item[\"review_status\"] == \"pending\"\n\n\n@pytest.mark.asyncio\nasync def test_list_queue_filter_by_status(client: AsyncClient, db_engine):\n    \"\"\"Queue filters correctly by status query parameter.\"\"\"\n    seed = await _seed_creator_and_video(db_engine)\n    await _seed_moment(db_engine, seed[\"video_id\"], title=\"Pending One\")\n    await _seed_moment(\n        db_engine, seed[\"video_id\"], title=\"Approved One\",\n        review_status=ReviewStatus.approved,\n    )\n    await _seed_moment(\n        db_engine, seed[\"video_id\"], title=\"Rejected One\",\n        review_status=ReviewStatus.rejected,\n    )\n\n    # Default filter: pending\n    resp = await client.get(QUEUE_URL)\n    assert resp.json()[\"total\"] == 1\n    assert resp.json()[\"items\"][0][\"title\"] == \"Pending One\"\n\n    # Approved\n    resp = await client.get(QUEUE_URL, params={\"status\": \"approved\"})\n    assert resp.json()[\"total\"] == 1\n    assert resp.json()[\"items\"][0][\"title\"] == \"Approved One\"\n\n    # All\n    resp = await client.get(QUEUE_URL, params={\"status\": \"all\"})\n    assert resp.json()[\"total\"] == 3\n\n\n# ── Stats tests ──────────────────────────────────────────────────────────────\n\n\n@pytest.mark.asyncio\nasync def test_stats_counts(client: AsyncClient, db_engine):\n    \"\"\"Stats returns correct counts per review status.\"\"\"\n    seed = await _seed_creator_and_video(db_engine)\n    await _seed_moment(db_engine, seed[\"video_id\"], review_status=ReviewStatus.pending)\n    await _seed_moment(db_engine, seed[\"video_id\"], review_status=ReviewStatus.pending)\n    await _seed_moment(db_engine, seed[\"video_id\"], review_status=ReviewStatus.approved)\n    await _seed_moment(db_engine, seed[\"video_id\"], review_status=ReviewStatus.rejected)\n\n    resp = await client.get(STATS_URL)\n    assert resp.status_code == 200\n    data = resp.json()\n    assert data[\"pending\"] == 2\n    assert data[\"approved\"] == 1\n    assert data[\"edited\"] == 0\n    assert data[\"rejected\"] == 1\n\n\n# ── Approve tests ────────────────────────────────────────────────────────────\n\n\n@pytest.mark.asyncio\nasync def test_approve_moment(client: AsyncClient, db_engine):\n    \"\"\"Approve sets review_status to approved.\"\"\"\n    seed = await _seed_creator_and_video(db_engine)\n    moment_id = await _seed_moment(db_engine, seed[\"video_id\"])\n\n    resp = await client.post(_moment_url(str(moment_id), \"approve\"))\n    assert resp.status_code == 200\n    assert resp.json()[\"review_status\"] == \"approved\"\n\n\n@pytest.mark.asyncio\nasync def test_approve_nonexistent_moment(client: AsyncClient):\n    \"\"\"Approve returns 404 for nonexistent moment.\"\"\"\n    fake_id = str(uuid.uuid4())\n    resp = await client.post(_moment_url(fake_id, \"approve\"))\n    assert resp.status_code == 404\n\n\n# ── Reject tests ─────────────────────────────────────────────────────────────\n\n\n@pytest.mark.asyncio\nasync def test_reject_moment(client: AsyncClient, db_engine):\n    \"\"\"Reject sets review_status to rejected.\"\"\"\n    seed = await _seed_creator_and_video(db_engine)\n    moment_id = await _seed_moment(db_engine, seed[\"video_id\"])\n\n    resp = await client.post(_moment_url(str(moment_id), \"reject\"))\n    assert resp.status_code == 200\n    assert resp.json()[\"review_status\"] == \"rejected\"\n\n\n@pytest.mark.asyncio\nasync def test_reject_nonexistent_moment(client: AsyncClient):\n    \"\"\"Reject returns 404 for nonexistent moment.\"\"\"\n    fake_id = str(uuid.uuid4())\n    resp = await client.post(_moment_url(fake_id, \"reject\"))\n    assert resp.status_code == 404\n\n\n# ── Edit tests ───────────────────────────────────────────────────────────────\n\n\n@pytest.mark.asyncio\nasync def test_edit_moment(client: AsyncClient, db_engine):\n    \"\"\"Edit updates fields and sets review_status to edited.\"\"\"\n    seed = await _seed_creator_and_video(db_engine)\n    moment_id = await _seed_moment(db_engine, seed[\"video_id\"], title=\"Original Title\")\n\n    resp = await client.put(\n        _moment_url(str(moment_id)),\n        json={\"title\": \"Updated Title\", \"summary\": \"New summary\"},\n    )\n    assert resp.status_code == 200\n    data = resp.json()\n    assert data[\"title\"] == \"Updated Title\"\n    assert data[\"summary\"] == \"New summary\"\n    assert data[\"review_status\"] == \"edited\"\n\n\n@pytest.mark.asyncio\nasync def test_edit_nonexistent_moment(client: AsyncClient):\n    \"\"\"Edit returns 404 for nonexistent moment.\"\"\"\n    fake_id = str(uuid.uuid4())\n    resp = await client.put(\n        _moment_url(fake_id),\n        json={\"title\": \"Won't Work\"},\n    )\n    assert resp.status_code == 404\n\n\n# ── Split tests ──────────────────────────────────────────────────────────────\n\n\n@pytest.mark.asyncio\nasync def test_split_moment(client: AsyncClient, db_engine):\n    \"\"\"Split creates two moments with correct timestamps.\"\"\"\n    seed = await _seed_creator_and_video(db_engine)\n    moment_id = await _seed_moment(\n        db_engine, seed[\"video_id\"],\n        title=\"Full Moment\", start_time=10.0, end_time=30.0,\n    )\n\n    resp = await client.post(\n        _moment_url(str(moment_id), \"split\"),\n        json={\"split_time\": 20.0},\n    )\n    assert resp.status_code == 200\n    data = resp.json()\n    assert len(data) == 2\n\n    # First (original): [10.0, 20.0)\n    assert data[0][\"start_time\"] == 10.0\n    assert data[0][\"end_time\"] == 20.0\n\n    # Second (new): [20.0, 30.0]\n    assert data[1][\"start_time\"] == 20.0\n    assert data[1][\"end_time\"] == 30.0\n    assert \"(split)\" in data[1][\"title\"]\n\n\n@pytest.mark.asyncio\nasync def test_split_invalid_time_below_start(client: AsyncClient, db_engine):\n    \"\"\"Split returns 400 when split_time is at or below start_time.\"\"\"\n    seed = await _seed_creator_and_video(db_engine)\n    moment_id = await _seed_moment(\n        db_engine, seed[\"video_id\"], start_time=10.0, end_time=30.0,\n    )\n\n    resp = await client.post(\n        _moment_url(str(moment_id), \"split\"),\n        json={\"split_time\": 10.0},\n    )\n    assert resp.status_code == 400\n\n\n@pytest.mark.asyncio\nasync def test_split_invalid_time_above_end(client: AsyncClient, db_engine):\n    \"\"\"Split returns 400 when split_time is at or above end_time.\"\"\"\n    seed = await _seed_creator_and_video(db_engine)\n    moment_id = await _seed_moment(\n        db_engine, seed[\"video_id\"], start_time=10.0, end_time=30.0,\n    )\n\n    resp = await client.post(\n        _moment_url(str(moment_id), \"split\"),\n        json={\"split_time\": 30.0},\n    )\n    assert resp.status_code == 400\n\n\n@pytest.mark.asyncio\nasync def test_split_nonexistent_moment(client: AsyncClient):\n    \"\"\"Split returns 404 for nonexistent moment.\"\"\"\n    fake_id = str(uuid.uuid4())\n    resp = await client.post(\n        _moment_url(fake_id, \"split\"),\n        json={\"split_time\": 20.0},\n    )\n    assert resp.status_code == 404\n\n\n# ── Merge tests ──────────────────────────────────────────────────────────────\n\n\n@pytest.mark.asyncio\nasync def test_merge_moments(client: AsyncClient, db_engine):\n    \"\"\"Merge combines two moments: combined summary, min start, max end, target deleted.\"\"\"\n    seed = await _seed_creator_and_video(db_engine)\n    m1_id = await _seed_moment(\n        db_engine, seed[\"video_id\"],\n        title=\"First\", summary=\"Summary A\",\n        start_time=10.0, end_time=20.0,\n    )\n    m2_id = await _seed_moment(\n        db_engine, seed[\"video_id\"],\n        title=\"Second\", summary=\"Summary B\",\n        start_time=25.0, end_time=35.0,\n    )\n\n    resp = await client.post(\n        _moment_url(str(m1_id), \"merge\"),\n        json={\"target_moment_id\": str(m2_id)},\n    )\n    assert resp.status_code == 200\n    data = resp.json()\n    assert data[\"start_time\"] == 10.0\n    assert data[\"end_time\"] == 35.0\n    assert \"Summary A\" in data[\"summary\"]\n    assert \"Summary B\" in data[\"summary\"]\n\n    # Target should be deleted — reject should 404\n    resp2 = await client.post(_moment_url(str(m2_id), \"reject\"))\n    assert resp2.status_code == 404\n\n\n@pytest.mark.asyncio\nasync def test_merge_different_videos(client: AsyncClient, db_engine):\n    \"\"\"Merge returns 400 when moments are from different source videos.\"\"\"\n    seed = await _seed_creator_and_video(db_engine)\n    m1_id = await _seed_moment(db_engine, seed[\"video_id\"], title=\"Video 1 moment\")\n\n    other_video_id = await _seed_second_video(db_engine, seed[\"creator_id\"])\n    m2_id = await _seed_moment(db_engine, other_video_id, title=\"Video 2 moment\")\n\n    resp = await client.post(\n        _moment_url(str(m1_id), \"merge\"),\n        json={\"target_moment_id\": str(m2_id)},\n    )\n    assert resp.status_code == 400\n    assert \"different source videos\" in resp.json()[\"detail\"]\n\n\n@pytest.mark.asyncio\nasync def test_merge_with_self(client: AsyncClient, db_engine):\n    \"\"\"Merge returns 400 when trying to merge a moment with itself.\"\"\"\n    seed = await _seed_creator_and_video(db_engine)\n    m_id = await _seed_moment(db_engine, seed[\"video_id\"])\n\n    resp = await client.post(\n        _moment_url(str(m_id), \"merge\"),\n        json={\"target_moment_id\": str(m_id)},\n    )\n    assert resp.status_code == 400\n    assert \"itself\" in resp.json()[\"detail\"]\n\n\n@pytest.mark.asyncio\nasync def test_merge_nonexistent_target(client: AsyncClient, db_engine):\n    \"\"\"Merge returns 404 when target moment does not exist.\"\"\"\n    seed = await _seed_creator_and_video(db_engine)\n    m_id = await _seed_moment(db_engine, seed[\"video_id\"])\n\n    resp = await client.post(\n        _moment_url(str(m_id), \"merge\"),\n        json={\"target_moment_id\": str(uuid.uuid4())},\n    )\n    assert resp.status_code == 404\n\n\n@pytest.mark.asyncio\nasync def test_merge_nonexistent_source(client: AsyncClient):\n    \"\"\"Merge returns 404 when source moment does not exist.\"\"\"\n    fake_id = str(uuid.uuid4())\n    resp = await client.post(\n        _moment_url(fake_id, \"merge\"),\n        json={\"target_moment_id\": str(uuid.uuid4())},\n    )\n    assert resp.status_code == 404\n\n\n# ── Mode toggle tests ───────────────────────────────────────────────────────\n\n\n@pytest.mark.asyncio\nasync def test_get_mode_default(client: AsyncClient):\n    \"\"\"Get mode returns config default when Redis has no value.\"\"\"\n    mock_redis = AsyncMock()\n    mock_redis.get = AsyncMock(return_value=None)\n    mock_redis.aclose = AsyncMock()\n\n    with patch(\"routers.review.get_redis\", return_value=mock_redis):\n        resp = await client.get(MODE_URL)\n    assert resp.status_code == 200\n    # Default from config is True\n    assert resp.json()[\"review_mode\"] is True\n\n\n@pytest.mark.asyncio\nasync def test_set_mode(client: AsyncClient):\n    \"\"\"Set mode writes to Redis and returns the new value.\"\"\"\n    mock_redis = AsyncMock()\n    mock_redis.set = AsyncMock()\n    mock_redis.aclose = AsyncMock()\n\n    with patch(\"routers.review.get_redis\", return_value=mock_redis):\n        resp = await client.put(MODE_URL, json={\"review_mode\": False})\n    assert resp.status_code == 200\n    assert resp.json()[\"review_mode\"] is False\n    mock_redis.set.assert_called_once_with(\"chrysopedia:review_mode\", \"False\")\n\n\n@pytest.mark.asyncio\nasync def test_get_mode_from_redis(client: AsyncClient):\n    \"\"\"Get mode reads the value stored in Redis.\"\"\"\n    mock_redis = AsyncMock()\n    mock_redis.get = AsyncMock(return_value=\"False\")\n    mock_redis.aclose = AsyncMock()\n\n    with patch(\"routers.review.get_redis\", return_value=mock_redis):\n        resp = await client.get(MODE_URL)\n    assert resp.status_code == 200\n    assert resp.json()[\"review_mode\"] is False\n\n\n@pytest.mark.asyncio\nasync def test_get_mode_redis_error_fallback(client: AsyncClient):\n    \"\"\"Get mode falls back to config default when Redis is unavailable.\"\"\"\n    with patch(\"routers.review.get_redis\", side_effect=ConnectionError(\"Redis down\")):\n        resp = await client.get(MODE_URL)\n    assert resp.status_code == 200\n    # Falls back to config default (True)\n    assert resp.json()[\"review_mode\"] is True\n\n\n@pytest.mark.asyncio\nasync def test_set_mode_redis_error(client: AsyncClient):\n    \"\"\"Set mode returns 503 when Redis is unavailable.\"\"\"\n    with patch(\"routers.review.get_redis\", side_effect=ConnectionError(\"Redis down\")):\n        resp = await client.put(MODE_URL, json={\"review_mode\": False})\n    assert resp.status_code == 503\n","path":"/home/aux/projects/content-to-kb-automator/backend/tests/test_review.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":5236,"cacheRead":73427,"cacheWrite":119,"totalTokens":78783,"cost":{"input":0.000005,"output":0.13090000000000002,"cacheRead":0.036713499999999996,"cacheWrite":0.00074375,"total":0.16836225}},"stopReason":"toolUse","timestamp":1774825603088}}
{"type":"message","id":"89879261","parentId":"dd25739a","timestamp":"2026-03-29T23:07:36.973Z","message":{"role":"toolResult","toolCallId":"toolu_011XVaqx9Vw6d9VwcyttCkGd","toolName":"write","content":[{"type":"text","text":"Successfully wrote 16481 bytes to /home/aux/projects/content-to-kb-automator/backend/tests/test_review.py"}],"isError":false,"timestamp":1774825656972}}
{"type":"message","id":"6734dcd6","parentId":"89879261","timestamp":"2026-03-29T23:07:39.975Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me run the review tests to see if they pass:"},{"type":"toolCall","id":"toolu_01PqXPtULBMyfuLQrknmfcQo","name":"async_bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator/backend && python -m pytest tests/test_review.py -v 2>&1 | tail -80","timeout":120}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":124,"cacheRead":73546,"cacheWrite":5281,"totalTokens":78952,"cost":{"input":0.000005,"output":0.0031000000000000003,"cacheRead":0.036773,"cacheWrite":0.03300625,"total":0.07288425}},"stopReason":"toolUse","timestamp":1774825656973}}
{"type":"message","id":"33450586","parentId":"6734dcd6","timestamp":"2026-03-29T23:07:39.982Z","message":{"role":"toolResult","toolCallId":"toolu_01PqXPtULBMyfuLQrknmfcQo","toolName":"async_bash","content":[{"type":"text","text":"Background job started: **bg_538990ce**\nCommand: `cd /home/aux/projects/content-to-kb-automator/backend && ...`\n\nUse `await_job` to get results when ready, or `cancel_job` to stop."}],"isError":false,"timestamp":1774825659980}}
{"type":"message","id":"dd5e0d48","parentId":"33450586","timestamp":"2026-03-29T23:07:42.350Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01Hs7fmm1eeP6jzvfgLmJrbA","name":"await_job","arguments":{"jobs":["bg_538990ce"],"timeout":120}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":76,"cacheRead":78827,"cacheWrite":193,"totalTokens":79097,"cost":{"input":0.000005,"output":0.0019,"cacheRead":0.0394135,"cacheWrite":0.00120625,"total":0.04252474999999999}},"stopReason":"toolUse","timestamp":1774825659981}}
{"type":"message","id":"933eb505","parentId":"dd5e0d48","timestamp":"2026-03-29T23:07:52.125Z","message":{"role":"toolResult","toolCallId":"toolu_01Hs7fmm1eeP6jzvfgLmJrbA","toolName":"await_job","content":[{"type":"text","text":"### bg_538990ce — cd /home/aux/projects/content-to-kb-automator/backend && ... (completed, 12.1s)\n\n============================= test session starts ==============================\nplatform linux -- Python 3.12.3, pytest-8.4.2, pluggy-1.6.0 -- /usr/local/bin/python\ncachedir: .pytest_cache\nrootdir: /home/aux/projects/content-to-kb-automator/backend\nconfigfile: pytest.ini\nplugins: asyncio-0.24.0, anyio-4.13.0\nasyncio: mode=Mode.AUTO, default_loop_scope=None\ncollecting ... collected 24 items\n\ntests/test_review.py::test_list_queue_empty PASSED                       [  4%]\ntests/test_review.py::test_list_queue_with_moments PASSED                [  8%]\ntests/test_review.py::test_list_queue_filter_by_status PASSED            [ 12%]\ntests/test_review.py::test_stats_counts PASSED                           [ 16%]\ntests/test_review.py::test_approve_moment PASSED                         [ 20%]\ntests/test_review.py::test_approve_nonexistent_moment PASSED             [ 25%]\ntests/test_review.py::test_reject_moment PASSED                          [ 29%]\ntests/test_review.py::test_reject_nonexistent_moment PASSED              [ 33%]\ntests/test_review.py::test_edit_moment PASSED                            [ 37%]\ntests/test_review.py::test_edit_nonexistent_moment PASSED                [ 41%]\ntests/test_review.py::test_split_moment PASSED                           [ 45%]\ntests/test_review.py::test_split_invalid_time_below_start PASSED         [ 50%]\ntests/test_review.py::test_split_invalid_time_above_end PASSED           [ 54%]\ntests/test_review.py::test_split_nonexistent_moment PASSED               [ 58%]\ntests/test_review.py::test_merge_moments PASSED                          [ 62%]\ntests/test_review.py::test_merge_different_videos PASSED                 [ 66%]\ntests/test_review.py::test_merge_with_self PASSED                        [ 70%]\ntests/test_review.py::test_merge_nonexistent_target PASSED               [ 75%]\ntests/test_review.py::test_merge_nonexistent_source PASSED               [ 79%]\ntests/test_review.py::test_get_mode_default PASSED                       [ 83%]\ntests/test_review.py::test_set_mode PASSED                               [ 87%]\ntests/test_review.py::test_get_mode_from_redis PASSED                    [ 91%]\ntests/test_review.py::test_get_mode_redis_error_fallback PASSED          [ 95%]\ntests/test_review.py::test_set_mode_redis_error PASSED                   [100%]\n\n============================= 24 passed in 11.05s ==============================\n"}],"isError":false,"timestamp":1774825672122}}
{"type":"message","id":"76568b12","parentId":"933eb505","timestamp":"2026-03-29T23:07:55.281Z","message":{"role":"assistant","content":[{"type":"text","text":"All 24 review tests pass. Now let me run the full test suite to check for regressions:"},{"type":"toolCall","id":"toolu_01FgALdAkKTeShM1kW3zcxse","name":"async_bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator/backend && python -m pytest tests/ -v 2>&1 | tail -60","timeout":120}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":129,"cacheRead":79020,"cacheWrite":880,"totalTokens":80030,"cost":{"input":0.000005,"output":0.003225,"cacheRead":0.039509999999999997,"cacheWrite":0.0055000000000000005,"total":0.04823999999999999}},"stopReason":"toolUse","timestamp":1774825672124}}
{"type":"message","id":"aa068b79","parentId":"76568b12","timestamp":"2026-03-29T23:07:55.288Z","message":{"role":"toolResult","toolCallId":"toolu_01FgALdAkKTeShM1kW3zcxse","toolName":"async_bash","content":[{"type":"text","text":"Background job started: **bg_e2cc6348**\nCommand: `cd /home/aux/projects/content-to-kb-automator/backend && ...`\n\nUse `await_job` to get results when ready, or `cancel_job` to stop."}],"isError":false,"timestamp":1774825675286}}
{"type":"message","id":"5bb65192","parentId":"aa068b79","timestamp":"2026-03-29T23:07:57.871Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01UKLPkP7otZjT3CSPwnqWHE","name":"await_job","arguments":{"jobs":["bg_e2cc6348"],"timeout":120}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":78,"cacheRead":79900,"cacheWrite":200,"totalTokens":80179,"cost":{"input":0.000005,"output":0.0019500000000000001,"cacheRead":0.03995,"cacheWrite":0.00125,"total":0.043155}},"stopReason":"toolUse","timestamp":1774825675287}}
{"type":"message","id":"f7b0e566","parentId":"5bb65192","timestamp":"2026-03-29T23:09:55.291Z","message":{"role":"toolResult","toolCallId":"toolu_01UKLPkP7otZjT3CSPwnqWHE","toolName":"await_job","content":[{"type":"text","text":"### bg_e2cc6348 — cd /home/aux/projects/content-to-kb-automator/backend && ... (completed, 120.0s)\n\nCommand timed out after 120 seconds"}],"isError":false,"timestamp":1774825795287}}
{"type":"message","id":"4bd8cd85","parentId":"f7b0e566","timestamp":"2026-03-29T23:09:59.172Z","message":{"role":"assistant","content":[{"type":"text","text":"The full test suite is taking long. Let me check what's running:"},{"type":"toolCall","id":"toolu_01FmZBPdzEUF8aNBXbGFi3Po","name":"async_bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator/backend && timeout 180 python -m pytest tests/ -v --timeout=30 2>&1 | tail -80","timeout":200}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":129,"cacheRead":80100,"cacheWrite":139,"totalTokens":80369,"cost":{"input":0.000005,"output":0.003225,"cacheRead":0.040049999999999995,"cacheWrite":0.0008687500000000001,"total":0.044148749999999994}},"stopReason":"toolUse","timestamp":1774825795288}}
{"type":"message","id":"bd723a85","parentId":"4bd8cd85","timestamp":"2026-03-29T23:09:59.180Z","message":{"role":"toolResult","toolCallId":"toolu_01FmZBPdzEUF8aNBXbGFi3Po","toolName":"async_bash","content":[{"type":"text","text":"Background job started: **bg_632ba53a**\nCommand: `cd /home/aux/projects/content-to-kb-automator/backend && ...`\n\nUse `await_job` to get results when ready, or `cancel_job` to stop."}],"isError":false,"timestamp":1774825799178}}
{"type":"message","id":"4ebb9b1e","parentId":"bd723a85","timestamp":"2026-03-29T23:10:02.663Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01S96nbXKz3cAQwiYo2bhSxy","name":"await_job","arguments":{"jobs":["bg_632ba53a"],"timeout":200}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":77,"cacheRead":80239,"cacheWrite":199,"totalTokens":80516,"cost":{"input":0.000005,"output":0.001925,"cacheRead":0.040119499999999995,"cacheWrite":0.00124375,"total":0.04329325}},"stopReason":"toolUse","timestamp":1774825799179}}
{"type":"message","id":"61bff1ca","parentId":"4ebb9b1e","timestamp":"2026-03-29T23:10:02.666Z","message":{"role":"toolResult","toolCallId":"toolu_01S96nbXKz3cAQwiYo2bhSxy","toolName":"await_job","content":[{"type":"text","text":"### bg_632ba53a — cd /home/aux/projects/content-to-kb-automator/backend && ... (completed, 3.5s)\n\nERROR: usage: __main__.py [options] [file_or_dir] [file_or_dir] [...]\n__main__.py: error: unrecognized arguments: --timeout=30\n  inifile: /home/aux/projects/content-to-kb-automator/backend/pytest.ini\n  rootdir: /home/aux/projects/content-to-kb-automator/backend\n\n"}],"isError":false,"timestamp":1774825802664}}
{"type":"message","id":"6261927d","parentId":"61bff1ca","timestamp":"2026-03-29T23:10:05.731Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01FgVTu54BpVCG7gerem8UsT","name":"bash","arguments":{"command":"cat /home/aux/projects/content-to-kb-automator/backend/pytest.ini"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":73,"cacheRead":80438,"cacheWrite":222,"totalTokens":80734,"cost":{"input":0.000005,"output":0.001825,"cacheRead":0.040219,"cacheWrite":0.0013875,"total":0.043436499999999996}},"stopReason":"toolUse","timestamp":1774825802664}}
{"type":"message","id":"878db50a","parentId":"6261927d","timestamp":"2026-03-29T23:10:05.741Z","message":{"role":"toolResult","toolCallId":"toolu_01FgVTu54BpVCG7gerem8UsT","toolName":"bash","content":[{"type":"text","text":"[pytest]\nasyncio_mode = auto\ntestpaths = tests\n"}],"isError":false,"timestamp":1774825805739}}
{"type":"message","id":"9f618605","parentId":"878db50a","timestamp":"2026-03-29T23:10:08.785Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01NzPakMdvthGFc4VzcjzPFg","name":"async_bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator/backend && timeout 180 python -m pytest tests/ -v 2>&1 | tail -80","timeout":200}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":109,"cacheRead":80660,"cacheWrite":101,"totalTokens":80871,"cost":{"input":0.000005,"output":0.002725,"cacheRead":0.04033,"cacheWrite":0.0006312500000000001,"total":0.04369125}},"stopReason":"toolUse","timestamp":1774825805740}}
{"type":"message","id":"38e7d9a4","parentId":"9f618605","timestamp":"2026-03-29T23:10:08.791Z","message":{"role":"toolResult","toolCallId":"toolu_01NzPakMdvthGFc4VzcjzPFg","toolName":"async_bash","content":[{"type":"text","text":"Background job started: **bg_d2bc0f9c**\nCommand: `cd /home/aux/projects/content-to-kb-automator/backend && ...`\n\nUse `await_job` to get results when ready, or `cancel_job` to stop."}],"isError":false,"timestamp":1774825808790}}
{"type":"message","id":"6efdc091","parentId":"38e7d9a4","timestamp":"2026-03-29T23:10:12.705Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01RhN2VS6XAFn2fRMDEn9DyR","name":"await_job","arguments":{"jobs":["bg_d2bc0f9c"],"timeout":200}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":80,"cacheRead":80761,"cacheWrite":182,"totalTokens":81024,"cost":{"input":0.000005,"output":0.002,"cacheRead":0.0403805,"cacheWrite":0.0011375,"total":0.043523}},"stopReason":"toolUse","timestamp":1774825808791}}
{"type":"message","id":"af00142a","parentId":"6efdc091","timestamp":"2026-03-29T23:12:24.108Z","message":{"role":"toolResult","toolCallId":"toolu_01RhN2VS6XAFn2fRMDEn9DyR","toolName":"await_job","content":[{"type":"text","text":"### bg_d2bc0f9c — cd /home/aux/projects/content-to-kb-automator/backend && ... (completed, 135.3s)\n\n============================= test session starts ==============================\nplatform linux -- Python 3.12.3, pytest-8.4.2, pluggy-1.6.0 -- /usr/local/bin/python\ncachedir: .pytest_cache\nrootdir: /home/aux/projects/content-to-kb-automator/backend\nconfigfile: pytest.ini\nplugins: asyncio-0.24.0, anyio-4.13.0\nasyncio: mode=Mode.AUTO, default_loop_scope=None\ncollecting ... collected 40 items\n\ntests/test_ingest.py::test_ingest_creates_creator_and_video PASSED       [  2%]\ntests/test_ingest.py::test_ingest_reuses_existing_creator PASSED         [  5%]\ntests/test_ingest.py::test_ingest_idempotent_reupload PASSED             [  7%]\ntests/test_ingest.py::test_ingest_saves_json_to_disk PASSED              [ 10%]\ntests/test_ingest.py::test_ingest_rejects_invalid_json PASSED            [ 12%]\ntests/test_ingest.py::test_ingest_rejects_missing_fields PASSED          [ 15%]\ntests/test_pipeline.py::test_stage2_segmentation_updates_topic_labels PASSED [ 17%]\ntests/test_pipeline.py::test_stage3_extraction_creates_key_moments PASSED [ 20%]\ntests/test_pipeline.py::test_stage4_classification_assigns_tags PASSED   [ 22%]\ntests/test_pipeline.py::test_stage5_synthesis_creates_technique_pages PASSED [ 25%]\ntests/test_pipeline.py::test_stage6_embeds_and_upserts_to_qdrant PASSED  [ 27%]\ntests/test_pipeline.py::test_run_pipeline_resumes_from_extracted PASSED  [ 30%]\ntests/test_pipeline.py::test_pipeline_trigger_endpoint PASSED            [ 32%]\ntests/test_pipeline.py::test_pipeline_trigger_404_for_missing_video PASSED [ 35%]\ntests/test_pipeline.py::test_ingest_dispatches_pipeline PASSED           [ 37%]\ntests/test_pipeline.py::test_llm_fallback_on_primary_failure PASSED      [ 40%]\ntests/test_review.py::test_list_queue_empty PASSED                       [ 42%]\ntests/test_review.py::test_list_queue_with_moments PASSED                [ 45%]\ntests/test_review.py::test_list_queue_filter_by_status PASSED            [ 47%]\ntests/test_review.py::test_stats_counts PASSED                           [ 50%]\ntests/test_review.py::test_approve_moment PASSED                         [ 52%]\ntests/test_review.py::test_approve_nonexistent_moment PASSED             [ 55%]\ntests/test_review.py::test_reject_moment PASSED                          [ 57%]\ntests/test_review.py::test_reject_nonexistent_moment PASSED              [ 60%]\ntests/test_review.py::test_edit_moment PASSED                            [ 62%]\ntests/test_review.py::test_edit_nonexistent_moment PASSED                [ 65%]\ntests/test_review.py::test_split_moment PASSED                           [ 67%]\ntests/test_review.py::test_split_invalid_time_below_start PASSED         [ 70%]\ntests/test_review.py::test_split_invalid_time_above_end PASSED           [ 72%]\ntests/test_review.py::test_split_nonexistent_moment PASSED               [ 75%]\ntests/test_review.py::test_merge_moments PASSED                          [ 77%]\ntests/test_review.py::test_merge_different_videos PASSED                 [ 80%]\ntests/test_review.py::test_merge_with_self PASSED                        [ 82%]\ntests/test_review.py::test_merge_nonexistent_target PASSED               [ 85%]\ntests/test_review.py::test_merge_nonexistent_source PASSED               [ 87%]\ntests/test_review.py::test_get_mode_default PASSED                       [ 90%]\ntests/test_review.py::test_set_mode PASSED                               [ 92%]\ntests/test_review.py::test_get_mode_from_redis PASSED                    [ 95%]\ntests/test_review.py::test_get_mode_redis_error_fallback PASSED          [ 97%]\ntests/test_review.py::test_set_mode_redis_error PASSED                   [100%]\n\n======================== 40 passed in 133.49s (0:02:13) ========================\n"}],"isError":false,"timestamp":1774825944106}}
{"type":"message","id":"82afbccc","parentId":"af00142a","timestamp":"2026-03-29T23:12:33.770Z","message":{"role":"assistant","content":[{"type":"text","text":"All 40 tests pass (16 existing + 24 new) with zero regressions. Let me also verify the route count one more time for the third verification check:"},{"type":"toolCall","id":"toolu_01XNJ7DjpWngSFqvmY3aJ3c2","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator/backend && python -c \"from routers.review import router; print(len(router.routes))\""}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":130,"cacheRead":80943,"cacheWrite":1357,"totalTokens":82431,"cost":{"input":0.000005,"output":0.0032500000000000003,"cacheRead":0.0404715,"cacheWrite":0.008481250000000001,"total":0.052207750000000004}},"stopReason":"toolUse","timestamp":1774825944107}}
{"type":"message","id":"7df692d9","parentId":"82afbccc","timestamp":"2026-03-29T23:12:34.369Z","message":{"role":"toolResult","toolCallId":"toolu_01XNJ7DjpWngSFqvmY3aJ3c2","toolName":"bash","content":[{"type":"text","text":"9\n"}],"isError":false,"timestamp":1774825954367}}
{"type":"message","id":"e3bce979","parentId":"7df692d9","timestamp":"2026-03-29T23:12:41.391Z","message":{"role":"assistant","content":[{"type":"text","text":"All three slice verification checks pass. Now let me read the task summary template and write the summary:"},{"type":"toolCall","id":"toolu_01PnUQGmXnoAJdPmFtbG4yFj","name":"read","arguments":{"path":"/home/aux/.gsd/agent/extensions/gsd/templates/task-summary.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":93,"cacheRead":82300,"cacheWrite":144,"totalTokens":82538,"cost":{"input":0.000005,"output":0.0023250000000000002,"cacheRead":0.04115,"cacheWrite":0.0009000000000000001,"total":0.044379999999999996}},"stopReason":"toolUse","timestamp":1774825954368}}
{"type":"message","id":"d4b4a4e9","parentId":"e3bce979","timestamp":"2026-03-29T23:12:41.395Z","message":{"role":"toolResult","toolCallId":"toolu_01PnUQGmXnoAJdPmFtbG4yFj","toolName":"read","content":[{"type":"text","text":"---\nid: {{taskId}}\nparent: {{sliceId}}\nmilestone: {{milestoneId}}\nprovides:\n  - {{whatThisTaskProvides}}\nkey_files:\n  - {{filePath}}\nkey_decisions:\n  - {{decision}}\npatterns_established:\n  - {{pattern}}\nobservability_surfaces:\n  - {{status endpoint, structured log, persisted failure state, diagnostic command, or none}}\nduration: {{duration}}\nverification_result: passed\ncompleted_at: {{date}}\n# Set blocker_discovered: true only if execution revealed the remaining slice plan\n# is fundamentally invalid (wrong API, missing capability, architectural mismatch).\n# Do NOT set true for ordinary bugs, minor deviations, or fixable issues.\nblocker_discovered: false\n---\n\n# {{taskId}}: {{taskTitle}}\n\n<!-- One-liner must say what actually shipped, not just that work completed.\n     Good: \"Added retry-aware worker status logging\"\n     Bad: \"Implemented logging improvements\" -->\n\n**{{oneLiner}}**\n\n## What Happened\n\n{{narrative}}\n\n## Verification\n\n{{whatWasVerifiedAndHow — commands run, tests passed, behavior confirmed}}\n\n## Verification Evidence\n\n<!-- Populated from verification gate output. If the gate ran, fill in the table below.\n     If no gate ran (e.g., no verification commands discovered), note that. -->\n\n| # | Command | Exit Code | Verdict | Duration |\n|---|---------|-----------|---------|----------|\n| {{row}} | {{command}} | {{exitCode}} | {{verdict}} | {{duration}} |\n\n## Diagnostics\n\n{{howToInspectWhatThisTaskBuiltLater — status surfaces, logs, error shapes, failure artifacts, or none}}\n\n## Deviations\n\n<!-- Deviations are unplanned changes to the written task plan, not ordinary debugging during implementation. -->\n\n{{deviationsFromPlan_OR_none}}\n\n## Known Issues\n\n{{issuesDiscoveredButNotFixed_OR_none}}\n\n## Files Created/Modified\n\n- `{{filePath}}` — {{description}}\n- `{{filePath}}` — {{description}}\n"}],"isError":false,"timestamp":1774825961393}}
{"type":"message","id":"cd35f016","parentId":"d4b4a4e9","timestamp":"2026-03-29T23:13:15.536Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01Pinbxf4hvFPseVDSb9rTLi","name":"write","arguments":{"content":"---\nid: T01\nparent: S04\nmilestone: M001\nprovides:\n  - 9 review queue API endpoints (queue list, stats, approve, reject, edit, split, merge, get mode, set mode)\n  - Review-specific Pydantic schemas (ReviewQueueItem, ReviewStatsResponse, MomentEditRequest, etc.)\n  - Async Redis client helper module\n  - 24 integration tests covering happy paths, error paths, and boundary conditions\nkey_files:\n  - backend/routers/review.py\n  - backend/schemas.py\n  - backend/redis_client.py\n  - backend/tests/test_review.py\n  - backend/main.py\nkey_decisions:\n  - Redis mode toggle uses get_redis() per-request with aclose() after use, rather than a long-lived connection pool, matching the simple admin-tool usage pattern\n  - Split creates a new moment with \"(split)\" suffix in title rather than splitting the title text\n  - Merge combines summaries with double-newline separator\npatterns_established:\n  - Review endpoint pattern: ORM load → validate → mutate → commit → refresh → log → serialize\n  - Redis fallback pattern: try Redis → on error, fall back to config default for reads; 503 for writes\nobservability_surfaces:\n  - INFO logs on each review action (approve/reject/edit/split/merge) with moment_id\n  - GET /api/v1/review/stats returns pending/approved/edited/rejected counts\n  - 404 responses include the moment_id that was not found\n  - 400 responses include validation details for split_time and merge constraints\nduration: 25m\nverification_result: passed\ncompleted_at: 2026-03-29\nblocker_discovered: false\n---\n\n# T01: Build review queue API endpoints with Redis mode toggle and integration tests\n\n**Built 9 review queue API endpoints (queue, stats, approve, reject, edit, split, merge, get/set mode) with Redis mode toggle, error handling, and 24 integration tests — all passing alongside the existing 16-test suite.**\n\n## What Happened\n\nCreated the complete review queue backend for admin moment review workflow:\n\n1. **Schemas** (`backend/schemas.py`): Added 8 new Pydantic models — `ReviewQueueItem` (extends KeyMomentRead with video_filename/creator_name), `ReviewQueueResponse`, `ReviewStatsResponse`, `MomentEditRequest`, `MomentSplitRequest`, `MomentMergeRequest`, `ReviewModeResponse`, `ReviewModeUpdate`.\n\n2. **Redis client** (`backend/redis_client.py`): Async helper using `redis.asyncio.Redis.from_url()` with decode_responses=True.\n\n3. **Review router** (`backend/routers/review.py`): 9 endpoints following the existing async SQLAlchemy patterns from creators.py:\n   - `GET /review/queue` — paginated listing with status filter, joined with SourceVideo.filename and Creator.name\n   - `GET /review/stats` — group-by count query returning per-status totals\n   - `POST /review/moments/{id}/approve` — sets review_status=approved\n   - `POST /review/moments/{id}/reject` — sets review_status=rejected\n   - `PUT /review/moments/{id}` — updates editable fields, sets review_status=edited\n   - `POST /review/moments/{id}/split` — splits at validated timestamp, creates new moment\n   - `POST /review/moments/{id}/merge` — merges two same-video moments, deletes target\n   - `GET /review/mode` — reads Redis key with config fallback\n   - `PUT /review/mode` — writes Redis key, 503 on failure\n\n4. **Router mount** (`backend/main.py`): Added `review.router` to the versioned API prefix.\n\n5. **Tests** (`backend/tests/test_review.py`): 24 integration tests covering all endpoints, status filters, 404s for nonexistent moments, 400s for invalid split times / cross-video merge / self-merge, and Redis mock tests for mode get/set/error-fallback.\n\n## Verification\n\nAll three slice verification checks pass:\n\n- `cd backend && python -m pytest tests/test_review.py -v` → 24 passed\n- `cd backend && python -m pytest tests/ -v` → 40 passed (no regressions)\n- `python -c \"from routers.review import router; print(len(router.routes))\"` → prints 9\n\n## Verification Evidence\n\n| # | Command | Exit Code | Verdict | Duration |\n|---|---------|-----------|---------|----------|\n| 1 | `cd backend && python -m pytest tests/test_review.py -v` | 0 | ✅ pass | 11.1s |\n| 2 | `cd backend && python -m pytest tests/ -v` | 0 | ✅ pass | 133.5s |\n| 3 | `python -c \"from routers.review import router; print(len(router.routes))\"` | 0 | ✅ pass | 0.5s |\n\n## Diagnostics\n\n- **Review stats**: `GET /api/v1/review/stats` shows counts per status (pending/approved/edited/rejected)\n- **Logs**: All review actions emit INFO-level logs with moment_id via `chrysopedia.review` logger\n- **Error detail**: 404 responses include the missing moment_id, 400 responses include constraint violation details (split_time range, same-video requirement, self-merge rejection)\n- **Mode state**: `GET /api/v1/review/mode` shows current review/auto mode from Redis (with config fallback)\n\n## Deviations\n\nNone.\n\n## Known Issues\n\nNone.\n\n## Files Created/Modified\n\n- `backend/schemas.py` — Added 8 review-specific Pydantic models (ReviewQueueItem, ReviewQueueResponse, ReviewStatsResponse, MomentEditRequest, MomentSplitRequest, MomentMergeRequest, ReviewModeResponse, ReviewModeUpdate)\n- `backend/routers/review.py` — New review queue router with 9 async endpoints\n- `backend/redis_client.py` — New async Redis client helper module\n- `backend/main.py` — Mounted review router at /api/v1 prefix\n- `backend/tests/test_review.py` — 24 integration tests for all review endpoints\n","path":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M001/slices/S04/tasks/T01-SUMMARY.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":1649,"cacheRead":82444,"cacheWrite":603,"totalTokens":84697,"cost":{"input":0.000005,"output":0.041225000000000005,"cacheRead":0.041221999999999995,"cacheWrite":0.00376875,"total":0.08622075}},"stopReason":"toolUse","timestamp":1774825961394}}
{"type":"message","id":"c1d7e140","parentId":"cd35f016","timestamp":"2026-03-29T23:13:15.540Z","message":{"role":"toolResult","toolCallId":"toolu_01Pinbxf4hvFPseVDSb9rTLi","toolName":"write","content":[{"type":"text","text":"Successfully wrote 5317 bytes to /home/aux/projects/content-to-kb-automator/.gsd/milestones/M001/slices/S04/tasks/T01-SUMMARY.md"}],"isError":false,"timestamp":1774825995539}}
{"type":"message","id":"30445ef0","parentId":"c1d7e140","timestamp":"2026-03-29T23:13:28.670Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01UbCbRBSyfYfoPepmiFkwhC","name":"gsd_task_complete","arguments":{"blockerDiscovered":false,"deviations":"None.","keyDecisions":["Redis mode toggle uses per-request get_redis() with aclose() rather than a connection pool","Split creates new moment with '(split)' title suffix","Merge combines summaries with double-newline separator"],"keyFiles":["backend/routers/review.py","backend/schemas.py","backend/redis_client.py","backend/main.py","backend/tests/test_review.py"],"knownIssues":"None.","milestoneId":"M001","narrative":"Created the complete review queue backend: 8 new Pydantic schemas in schemas.py, a redis_client.py helper module, a review router with 9 async endpoints (list queue with status filter, stats, approve, reject, edit, split with timestamp validation, merge with same-video validation, get/set review mode via Redis with config fallback), mounted in main.py, and 24 comprehensive integration tests covering happy paths, 404s, 400s for boundary conditions, and Redis mock tests for mode toggle.","oneLiner":"Built 9 review queue API endpoints (queue, stats, approve, reject, edit, split, merge, get/set mode) with Redis mode toggle, error handling, and 24 integration tests — all passing alongside existing suite","sliceId":"S04","taskId":"T01","verification":"All three slice verification checks pass: (1) pytest tests/test_review.py → 24 passed, (2) pytest tests/ → 40 passed (no regressions), (3) route count check → prints 9.","verificationEvidence":[{"command":"cd backend && python -m pytest tests/test_review.py -v","durationMs":11100,"exitCode":0,"verdict":"✅ pass"},{"command":"cd backend && python -m pytest tests/ -v","durationMs":133500,"exitCode":0,"verdict":"✅ pass"},{"command":"python -c \"from routers.review import router; print(len(router.routes))\"","durationMs":500,"exitCode":0,"verdict":"✅ pass"}]}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":707,"cacheRead":83047,"cacheWrite":1710,"totalTokens":85465,"cost":{"input":0.000005,"output":0.017675,"cacheRead":0.0415235,"cacheWrite":0.0106875,"total":0.069891}},"stopReason":"toolUse","timestamp":1774825995539}}
{"type":"message","id":"ef1b38ca","parentId":"30445ef0","timestamp":"2026-03-29T23:13:28.690Z","message":{"role":"toolResult","toolCallId":"toolu_01UbCbRBSyfYfoPepmiFkwhC","toolName":"gsd_task_complete","content":[{"type":"text","text":"Completed task T01 (S04/M001)"}],"details":{"operation":"complete_task","taskId":"T01","sliceId":"S04","milestoneId":"M001","summaryPath":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M001/slices/S04/tasks/T01-SUMMARY.md"},"isError":false,"timestamp":1774826008689}}
{"type":"message","id":"e5f76e0a","parentId":"ef1b38ca","timestamp":"2026-03-29T23:13:34.587Z","message":{"role":"assistant","content":[{"type":"text","text":"Task T01 complete."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":9,"cacheRead":84757,"cacheWrite":736,"totalTokens":85503,"cost":{"input":0.000005,"output":0.00022500000000000002,"cacheRead":0.0423785,"cacheWrite":0.0046,"total":0.0472085}},"stopReason":"stop","timestamp":1774826008690}}
{"type":"custom_message","customType":"async_job_result","content":"**Background job done: bg_632ba53a** (cd /home/aux/projects/content-to-kb-automator/backend && ..., 1.0s)\n\nERROR: usage: __main__.py [options] [file_or_dir] [file_or_dir] [...]\n__main__.py: error: unrecognized arguments: --timeout=30\n  inifile: /home/aux/projects/content-to-kb-automator/backend/pytest.ini\n  rootdir: /home/aux/projects/content-to-kb-automator/backend\n\n","display":true,"id":"f347f560","parentId":"e5f76e0a","timestamp":"2026-03-29T23:13:34.589Z"}
{"type":"message","id":"2ecf1865","parentId":"f347f560","timestamp":"2026-03-29T23:13:43.200Z","message":{"role":"assistant","content":[{"type":"text","text":"\n\nThat's just the stale notification from the earlier `bg_632ba53a` job that already completed — the one where I tried `--timeout=30` which isn't supported by this pytest setup. I immediately retried without that flag (`bg_d2bc0f9c`), which ran the full suite successfully: **40 passed in 133.49s** with zero regressions. Task T01 was already completed and recorded. No action needed."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":104,"cacheRead":85493,"cacheWrite":146,"totalTokens":85745,"cost":{"input":0.00001,"output":0.0026000000000000003,"cacheRead":0.0427465,"cacheWrite":0.0009125,"total":0.046269}},"stopReason":"stop","timestamp":1774826014587}}
