{"type":"thinking_level_change","id":"1e058a91","parentId":null,"timestamp":"2026-04-03T01:19:33.256Z","thinkingLevel":"medium"}
{"type":"model_change","id":"bb6727b2","parentId":"1e058a91","timestamp":"2026-04-03T01:19:33.258Z","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\n## UNIT: Complete Slice S03 (\"Data Model + Migration\") — Milestone M014\n\n## Your Role in the Pipeline\n\nExecutor agents built each task and wrote task summaries. You are the closer — verify the assembled work actually delivers the slice goal, then compress everything into a slice summary. After you finish, a **reassess-roadmap agent** reads your slice summary to decide if the remaining roadmap still makes sense. The slice summary is also the primary record of what this slice achieved — future slice researchers and planners read it as a dependency summary when their work builds on yours.\n\nWrite the summary for those downstream readers. What did this slice actually deliver? What patterns did it establish? What should the next slice know?\n\nAll relevant context has been preloaded below — the slice plan, all task summaries, and the milestone roadmap are inlined. Start working immediately without re-reading these files.\n\n## Inlined Context (preloaded — do not re-read these files)\n\n### Milestone Roadmap\nSource: `.gsd/milestones/M014/M014-ROADMAP.md`\n\n# M014: \n\n## Vision\nRestructure technique pages to be broader (per-creator+category across videos), deeper (H2/H3 nesting with TOC), multi-source (compose new video content into existing pages), with inline citations linking prose claims to source moments, admin multi-source management, and section-level search with deep linking.\n\n## Slice Overview\n| ID | Slice | Risk | Depends | Done | After this |\n|----|-------|------|---------|------|------------|\n| S01 | Synthesis Prompt v5 — Nested Sections + Citations | high | — | ✅ | Run test harness with new prompt → output has list-of-objects body_sections with H2/H3 nesting, citation markers on key claims, broader page scope. |\n| S02 | Composition Prompt + Test Harness Compose Mode | high | S01 | ✅ | Run test harness --compose mode with existing page + new moments → merged output with deduplication, new sections, updated citations. |\n| S03 | Data Model + Migration | low | — | ⬜ | Alembic migration runs clean. API response includes body_sections_format and source_videos fields. |\n| S04 | Pipeline Compose-or-Create Logic | high | S01, S02, S03 | ⬜ | Process two COPYCATT videos. Second video's moments composed into existing page. technique_page_videos has both video IDs. |\n| S05 | Frontend — Nested Rendering, TOC, Citations | medium | S03 | ⬜ | Format-2 page renders with TOC, nested sections, clickable citations. Format-1 pages unchanged. |\n| S06 | Admin UI — Multi-Source Pipeline Management | medium | S03, S04 | ⬜ | Admin view for multi-source page shows source dropdown, composition history, per-video chunking inspection. |\n| S07 | Search — Per-Section Embeddings + Deep Linking | medium | S04, S05 | ⬜ | Search 'LFO grain position' → section-level result → click → navigates to page#section and scrolls. |\n\n---\n\n### Slice Plan\nSource: `.gsd/milestones/M014/slices/S03/S03-PLAN.md`\n\n# S03: Data Model + Migration\n\n**Goal:** Add `body_sections_format` column to technique_pages, create `technique_page_videos` association table, and expose both in the API response.\n**Demo:** After this: Alembic migration runs clean. API response includes body_sections_format and source_videos fields.\n\n## Tasks\n- [x] **T01: Added body_sections_format column, technique_page_videos association table, and SourceVideoSummary schema for multi-source technique pages** — Create the Alembic migration for the new column and table, update the SQLAlchemy models, and widen the Pydantic API schemas.\n\nThis is the data layer foundation — migration file, model changes, and schema changes. The router wiring comes in T02.\n\n## Steps\n\n1. Create `alembic/versions/012_multi_source_format.py`:\n   - Add `body_sections_format` column to `technique_pages`: `VARCHAR(20)`, `NOT NULL`, `server_default='v1'`\n   - Create `technique_page_videos` table: `id` (UUID PK), `technique_page_id` (UUID FK → technique_pages.id ON DELETE CASCADE), `source_video_id` (UUID FK → source_videos.id ON DELETE CASCADE), `added_at` (TIMESTAMP, server_default=now()), UNIQUE constraint on (technique_page_id, source_video_id)\n   - Downgrade: drop `technique_page_videos` table, drop `body_sections_format` column\n\n2. Update `backend/models.py`:\n   - Add `body_sections_format` mapped column to `TechniquePage`: `String(20)`, default `'v1'`, server_default `'v1'`, nullable=False\n   - Add `TechniquePageVideo` model class with fields matching migration, plus `UniqueConstraint` named `uq_page_video`\n   - Add `sa_relationship` on `TechniquePage`: `source_video_links: Mapped[list[TechniquePageVideo]]` with back_populates\n   - Add `sa_relationship` on `TechniquePageVideo` back to both `TechniquePage` and `SourceVideo`\n   - Note: use `sa_relationship` (the alias) per KNOWLEDGE.md rule about column names shadowing ORM functions\n\n3. Update `backend/schemas.py`:\n   - Change `TechniquePageBase.body_sections` type from `dict | None` to `list | dict | None`\n   - Add `body_sections_format: str = \"v1\"` to `TechniquePageBase`\n   - Add `SourceVideoSummary` schema: `id` (UUID), `filename` (str), `content_type` (str), `added_at` (datetime | None)\n   - Add `source_videos: list[SourceVideoSummary] = Field(default_factory=list)` to `TechniquePageDetail`\n\n## Must-Haves\n\n- [ ] Migration file has both upgrade and downgrade\n- [ ] `body_sections_format` defaults to `'v1'` for existing rows\n- [ ] `TechniquePageVideo` has CASCADE deletes on both FKs\n- [ ] Unique constraint on (technique_page_id, source_video_id)\n- [ ] `body_sections` schema type widened to accept list or dict\n- [ ] `SourceVideoSummary` schema uses `from_attributes=True`\n\n## Verification\n\n- `cd backend && python -c \"from models import TechniquePageVideo, TechniquePage; print(TechniquePage.body_sections_format); print('OK')\"` succeeds\n- `cd backend && python -c \"from schemas import SourceVideoSummary, TechniquePageDetail; print('OK')\"` succeeds\n- `alembic upgrade head` runs without error (tested via Docker: `docker exec chrysopedia-api alembic upgrade head`)\n  - Estimate: 30m\n  - Files: alembic/versions/012_multi_source_format.py, backend/models.py, backend/schemas.py\n  - Verify: cd backend && python -c \"from models import TechniquePageVideo, TechniquePage; assert hasattr(TechniquePage, 'body_sections_format'); print('models OK')\" && python -c \"from schemas import SourceVideoSummary, TechniquePageDetail; print('schemas OK')\"\n- [x] **T02: Wired source_videos and body_sections_format into technique detail API response with eager-loaded association table** — Update the technique detail endpoint to eagerly load source_video_links and build the source_videos list on the response. Verify end-to-end with an API call.\n\n## Steps\n\n1. Update `backend/routers/techniques.py` `get_technique()` function:\n   - Add `selectinload(TechniquePage.source_video_links).selectinload(TechniquePageVideo.source_video)` to the query options\n   - After building existing response fields, build `source_videos` list from `page.source_video_links`\n   - Each item: `SourceVideoSummary(id=link.source_video.id, filename=link.source_video.filename, content_type=link.source_video.content_type.value, added_at=link.added_at)`\n   - Add the import for `TechniquePageVideo` and `SourceVideoSummary` at the top of the file\n   - Pass `source_videos=source_videos` to the `TechniquePageDetail(...)` constructor\n\n2. Verify the endpoint returns the new fields:\n   - Existing pages should return `body_sections_format: \"v1\"` (inherited from schema default + model default)\n   - Existing pages should return `source_videos: []` (no rows in association table yet)\n\n## Must-Haves\n\n- [ ] `selectinload` for source_video_links chained to source_video\n- [ ] `source_videos` list built from association table rows\n- [ ] Existing pages return empty `source_videos` list (not null, not omitted)\n- [ ] `body_sections_format` appears in response\n\n## Verification\n\n- Pick any existing technique slug from the DB\n- `curl -s http://ub01:8096/techniques/{slug} | python3 -m json.tool | grep -E 'body_sections_format|source_videos'` shows both fields\n- Or if testing locally: verify the router code by reading the constructed response and confirming both fields are passed\n  - Estimate: 20m\n  - Files: backend/routers/techniques.py\n  - Verify: ssh ub01 'docker exec chrysopedia-api alembic upgrade head' && ssh ub01 'curl -s http://localhost:8000/techniques/$(docker exec chrysopedia-db psql -U chrysopedia -tAc \"SELECT slug FROM technique_pages LIMIT 1\") | python3 -m json.tool | grep -E \"body_sections_format|source_videos\"'\n\n---\n\n### Requirements\nSource: `.gsd/REQUIREMENTS.md`\n\n# Requirements\n\n## R001 — Whisper Transcription Pipeline\n**Status:** validated\n**Description:** Desktop Python script that accepts video files (MP4/MKV), extracts audio via ffmpeg, runs Whisper large-v3 on RTX 4090, and outputs timestamped transcript JSON with segment-level timestamps and word-level timing. Must be resumable.\n**Validation:** Script processes a sample video and produces valid JSON with timestamped segments.\n**Primary Owner:** M001/S01\n\n## R002 — Transcript Ingestion API\n**Status:** validated\n**Description:** FastAPI endpoint that accepts transcript JSON uploads, creates/updates Creator and Source Video records, and stores transcript data in PostgreSQL. Handles new creator detection from folder names.\n**Validation:** POST transcript JSON → 200 OK, records created in DB, file stored on filesystem.\n**Primary Owner:** M001/S02\n\n## R003 — LLM-Powered Extraction Pipeline (Stages 2-5)\n**Status:** validated\n**Description:** Background worker pipeline: transcript segmentation → key moment extraction → classification/tagging → technique page synthesis. Uses OpenAI-compatible API with primary (DGX Sparks Qwen) and fallback (local Ollama) endpoints. Pipeline must be resumable per-video per-stage.\n**Validation:** End-to-end: transcript JSON in → technique pages with key moments, tags, and cross-references out.\n**Primary Owner:** M001/S03\n\n## R004 — Review Queue UI\n**Status:** validated\n**Description:** Admin interface for reviewing extracted key moments: approve, edit+approve, split, merge, reject. Organized by source video for contextual review. Includes mode toggle (review vs auto-publish).\n**Validation:** Admin can review, edit, and approve/reject moments; mode toggle controls whether new moments require review.\n**Primary Owner:** M001/S04\n\n## R005 — Search-First Web UI\n**Status:** validated\n**Description:** Landing page with prominent search bar, live typeahead (results after 2-3 chars), scope toggle (All/Topics/Creators), and two navigation cards (Topics, Creators). Recently added section. Search powered by Qdrant semantic search with keyword fallback.\n**Validation:** User types query → results appear within 500ms, grouped by type, with clickable navigation.\n**Primary Owner:** M001/S05\n\n## R006 — Technique Page Display\n**Status:** validated\n**Description:** Core content unit: header (tags, title, creator, meta), study guide prose (organized by sub-aspects with signal chain blocks and quotes), key moments index (timestamped list), related techniques, plugins referenced. Amber banner for livestream-sourced content.\n**Validation:** Technique page renders with all sections populated from synthesized data.\n**Primary Owner:** M001/S05\n\n## R007 — Creators Browse Page\n**Status:** validated\n**Description:** Filterable creator list with genre filter pills, type-to-narrow, sort options (randomized default, alphabetical, view count). Each row: name, genre tags, technique count, video count, view count. Links to creator detail page.\n**Validation:** Page loads with randomized order, genre filtering works, clicking row navigates to creator detail.\n**Primary Owner:** M001/S05\n\n## R008 — Topics Browse Page\n**Status:** validated\n**Description:** Two-level topic hierarchy (7 top-level categories → sub-topics). Filter input, genre filter pills. Each sub-topic shows technique count and creator count. Clicking sub-topic loads a dedicated page with creator-grouped techniques and breadcrumbs.\n**Validation:** Hierarchy renders, filtering works, sub-topics have dedicated pages at /topics/:category/:subtopic with backend filtering and creator grouping. Verified: M010/S01.\n**Primary Owner:** M001/S05\n\n## R009 — Qdrant Vector Search Integration\n**Status:** validated\n**Description:** Embed key moment summaries, technique page content, and transcript segments in Qdrant using configurable embedding model (nomic-embed-text default). Power semantic search with metadata filtering.\n**Validation:** Semantic search returns relevant results for natural language queries; embeddings update when content changes.\n**Primary Owner:** M001/S03\n\n## R010 — Docker Compose Deployment\n**Status:** validated\n**Description:** Single docker-compose.yml packaging API, web UI, PostgreSQL, and worker services. Follows XPLTD conventions: bind mounts at /vmPool/r/services/, compose at /vmPool/r/compose/chrysopedia/, xpltd_chrysopedia project name, dedicated Docker network.\n**Validation:** `docker compose up -d` brings up all services; data persists across restarts.\n**Primary Owner:** M001/S01\n\n## R011 — Canonical Tag System\n**Status:** validated\n**Description:** Editable canonical tag list (config file) with aliases. Pipeline references tags during classification. New tags can be proposed by LLM and queued for admin approval or auto-added within existing categories.\n**Validation:** Tag list is editable; pipeline uses canonical tags consistently; alias normalization works.\n**Primary Owner:** M001/S03\n\n## R012 — Incremental Content Addition\n**Status:** validated\n**Description:** System handles ongoing content: new videos processed through pipeline, new creators auto-detected, existing technique pages updated when new moments are added for same creator+topic.\n**Validation:** Adding a new video for an existing creator updates their technique pages; new creator folder creates new Creator record.\n**Primary Owner:** M001/S03\n\n## R013 — Prompt Template System\n**Status:** validated\n**Description:** Extraction prompts (stages 2-5) stored as editable configuration files, not hardcoded. Admin can edit prompts and re-run extraction on specific or all videos for calibration.\n**Validation:** Prompt files are editable; re-processing a video with updated prompts produces different output.\n**Primary Owner:** M001/S03\n\n## R014 — Creator Equity\n**Status:** validated\n**Description:** No creator is privileged in the UI. Default sort on Creators page is randomized on every page load. All creators get equal visual weight.\n**Validation:** Refreshing Creators page shows different order each time; no creator gets larger/bolder display.\n**Primary Owner:** M001/S05\n\n## R015 — 30-Second Retrieval Target\n**Status:** active\n**Description:** A producer mid-session can find a specific technique in under 30 seconds from Alt+Tab to reading the key insight.\n**Validation:** Timed test: Alt+Tab → search → read technique → under 30 seconds.\n**Primary Owner:** M001/S05\n\n## R016 — Card Hover Animations & Staggered Entrance\n**Status:** validated\n**Description:** All technique/content cards animate on hover (scale + shadow transition). Card grids use staggered fade-in-up entrance animations on page load.\n**Validation:** Cards visually respond to hover with smooth 200ms transition. Grid cards appear sequentially on page load.\n**Primary Owner:** M011/S01\n\n## R017 — Featured Technique Visual Redesign\n**Status:** validated\n**Description:** Featured Technique section on homepage has a visually distinct treatment (gradient border, glow, or full-bleed) that differentiates it from ordinary cards.\n**Validation:** Featured technique is visually prominent and clearly distinct from regular technique cards.\n**Primary Owner:** M011/S01\n\n## R018 — Random Technique Discovery\n**Status:** validated\n**Description:** A \"Random Technique\" button exists that navigates to a randomly selected technique page.\n**Validation:** Clicking the button loads a different technique each time.\n**Primary Owner:** M011/S01\n\n## R019 — Topics Page Default-Collapsed\n**Status:** validated\n**Description:** Topics page loads with all categories collapsed, showing only category cards. Clicking a category expands its sub-topics with a smooth slide animation.\n**Validation:** Page loads collapsed. Click expands with animation. Click again collapses.\n**Primary Owner:** M011/S02\n\n## R020 — Global Search in Navigation\n**Status:** validated\n**Description:** A compact search input in the navigation bar is available on all pages except the homepage. Cmd+K (or /) keyboard shortcut focuses it from any page.\n**Validation:** Search bar visible in nav on Topics, Creators, Technique, About pages. Cmd+K focuses it.\n**Primary Owner:** M011/S03\n\n## R021 — Mobile Hamburger Menu\n**Status:** validated\n**Description:** Navigation uses a hamburger menu on viewports below 768px with generous touch targets (44×44px minimum).\n**Validation:** Mobile viewport shows hamburger icon. Tapping reveals nav items. Touch targets meet minimum size.\n**Primary Owner:** M011/S03\n\n## R022 — Heading Hierarchy Fix\n**Status:** validated\n**Description:** Every page has exactly one H1 element. Heading levels are sequential (no skips from H1 to H3).\n**Validation:** DOM inspection confirms single H1 per page and sequential heading levels.\n**Primary Owner:** M011/S04\n\n## R023 — Skip-to-Content Link\n**Status:** validated\n**Description:** A visually hidden skip link is the first focusable element on every page, visible on keyboard focus.\n**Validation:** Tab from page load shows \"Skip to content\" link. Clicking it jumps to main content area.\n**Primary Owner:** M011/S04\n\n## R024 — Text Contrast AA Compliance\n**Status:** validated\n**Description:** All text meets WCAG AA contrast ratios (4.5:1 for normal text, 3:1 for large text) against the dark background.\n**Validation:** Secondary text color passes 4.5:1 contrast check against page background.\n**Primary Owner:** M011/S04\n\n## R025 — Page-Specific Document Titles\n**Status:** validated\n**Description:** Each route sets a descriptive document title (e.g., \"Bass — Sound Design — Chrysopedia\", \"COPYCATT — Chrysopedia\").\n**Validation:** Browser tab shows distinct title per page. Navigating between pages updates the title.\n**Primary Owner:** M011/S04\n\n## R026 — Creator Stats Topic-Colored Pills\n**Status:** validated\n**Description:** Creator detail page stats line rendered as topic-colored pill badges instead of run-on text.\n**Validation:** Stats show as visually distinct colored pills grouped by topic category.\n**Primary Owner:** M011/S02\n\n## R027 — Tag Overflow Limit on Cards\n**Status:** validated\n**Description:** Technique cards show a maximum of 4 tags, with a \"+N more\" indicator for additional tags.\n**Validation:** Cards with >4 tags show exactly 4 plus a \"+N more\" badge.\n**Primary Owner:** M011/S02\n\n## R028 — Empty Subtopic Handling\n**Status:** validated\n**Description:** Sub-topics with 0 techniques either hidden by default or display a \"Coming soon\" badge.\n**Validation:** Empty subtopics are visually distinguished or hidden. No dead-end clicks.\n**Primary Owner:** M011/S02\n\n## Denied / Out of Scope\n\n## R029 — Beginner Learning Paths\n**Status:** out-of-scope\n**Description:** Curated beginner learning paths with skill-level tags and \"New to Production?\" section.\n**Validation:** n/a\n**Notes:** Denied — audience knows what they're looking for. Assessment F01.\n\n## R030 — YouTube Deep Links on Key Moments\n**Status:** out-of-scope\n**Description:** Key moment timestamps link to source YouTube videos at the correct time.\n**Validation:** n/a\n**Notes:** Denied — no video URLs in data model / don't want to link out. Assessment F02.\n\n## R031 — Hide Admin Dropdown\n**Status:** out-of-scope\n**Description:** Admin dropdown hidden from public visitors behind auth or flag.\n**Validation:** n/a\n**Notes:** Denied — fine as-is. Assessment F03.\n\n## R032 — CTA Label Changes\n**Status:** out-of-scope\n**Description:** Change \"Start Exploring\" to more descriptive CTA text.\n**Validation:** n/a\n**Notes:** Denied — skipped. Assessment F15.\n\n---\n\n[...truncated 26 sections]\n\n**Match effort to complexity.** A simple slice with 1-2 tasks needs a brief summary and lightweight verification. A complex slice with 5 tasks across multiple subsystems needs thorough verification and a detailed summary. Scale the work below accordingly.\n\nThen:\n1. Use the **Slice Summary** and **UAT** output templates from the inlined context above\n2. If a `GSD Skill Preferences` block is present in system context, use it and the `<available_skills>` catalog in your system prompt to decide which skills to load and follow for this unit, without relaxing required verification or artifact rules.\n3. Run all slice-level verification checks defined in the slice plan. All must pass before marking the slice done. If any fail, fix them first.\n4. If the slice plan includes observability/diagnostic surfaces, confirm they work. Skip this for simple slices that don't have observability sections.\n5. If the slice involved runtime behavior, fill the **Operational Readiness** section (Q8) in the slice summary: health signal, failure signal, recovery procedure, and monitoring gaps. Omit entirely for simple slices with no runtime concerns.\n6. If this slice produced evidence that a requirement changed status (Active → Validated, Active → Deferred, etc.), call `gsd_save_decision` with scope=\"requirement\", decision=\"{requirement-id}\", choice=\"{new-status}\", rationale=\"{evidence}\". Do NOT write `.gsd/REQUIREMENTS.md` directly — the engine renders it from the database.\n7. Write `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M014/slices/S03/S03-SUMMARY.md` (compress all task summaries).\n8. Write `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M014/slices/S03/S03-UAT.md` — a concrete UAT script with real test cases derived from the slice plan and task summaries. Include preconditions, numbered steps with expected outcomes, and edge cases. This must NOT be a placeholder or generic template — tailor every test case to what this slice actually built.\n9. Review task summaries for `key_decisions`. Append any significant decisions to `.gsd/DECISIONS.md` if missing.\n10. Review task summaries for patterns, gotchas, or non-obvious lessons learned. If any would save future agents from repeating investigation or hitting the same issues, append them to `.gsd/KNOWLEDGE.md`. Only add entries that are genuinely useful — don't pad with obvious observations.\n11. Call `gsd_complete_slice` with milestone_id, slice_id, the slice summary, and the UAT result. Do NOT manually mark the roadmap checkbox — the tool writes to the DB and renders the ROADMAP.md projection automatically.\n12. Do not run git commands — the system commits your changes and handles any merge after this unit succeeds.\n13. Update `.gsd/PROJECT.md` if it exists — refresh current state if needed.\n\n**You MUST call `gsd_complete_slice` with the slice summary and UAT content before finishing. The tool persists to both DB and disk and renders `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M014/slices/S03/S03-SUMMARY.md` and `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M014/slices/S03/S03-UAT.md` automatically.**\n\nWhen done, say: \"Slice S03 complete.\"","display":false,"id":"5544893c","parentId":"bb6727b2","timestamp":"2026-04-03T01:19:33.261Z"}
{"type":"message","id":"c3e7d206","parentId":"5544893c","timestamp":"2026-04-03T01:19:38.718Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Let me start by reading the task summaries to understand what was actually delivered, then verify the slice-level checks.","thinkingSignature":"ErUCClkIDBgCKkAOSNExZstueKw8ZqPE/zZ16TlFYDjPoDzx65959T1LMFUjYZcJ3MLR67RNDk1aGgtE6bftoP5lY/4ycdqmGC0OMg9jbGF1ZGUtb3B1cy00LTY4ABIMn0480Ddfd4J6xPy/GgxLVIHjuXnpK8hzP4UiMAjZdgTtlpGy2rR105R/0SPXcSiYAWamiRmiteYGAQIBfIje96et7aFlA7lAULcz3SqJATgX2kONozTVXTyA8n9/u6PsbtDVNiyuxEkCVoTmbcaprk2G7iiS3oH2SPnxzfmt6y1j5vDK1x4MmeeIt/v8y1QoCC8q1LfSniJTYN7S3QIZtnIMfdaZ/Zqm+K2LTnZzzdWyOQgWGiC1w64XoR/Tp4IFFy1h1WxT120PAPmzrOESHOpP81Iul31RGAE="},{"type":"toolCall","id":"toolu_011L1UKUXJSMMfGh6xYmMGbg","name":"read","arguments":{"path":".gsd/milestones/M014/slices/S03/tasks/T01-SUMMARY.md"}},{"type":"toolCall","id":"toolu_01GrM1mxZbJp8XKzp3gZCD2Q","name":"read","arguments":{"path":".gsd/milestones/M014/slices/S03/tasks/T02-SUMMARY.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":3,"output":175,"cacheRead":59865,"cacheWrite":6586,"totalTokens":66629,"cost":{"input":0.000015000000000000002,"output":0.004375,"cacheRead":0.029932499999999997,"cacheWrite":0.041162500000000005,"total":0.075485}},"stopReason":"toolUse","timestamp":1775179173259}}
{"type":"message","id":"df39ce3d","parentId":"c3e7d206","timestamp":"2026-04-03T01:19:38.722Z","message":{"role":"toolResult","toolCallId":"toolu_011L1UKUXJSMMfGh6xYmMGbg","toolName":"read","content":[{"type":"text","text":"---\nid: T01\nparent: S03\nmilestone: M014\nprovides: []\nrequires: []\naffects: []\nkey_files: [\"alembic/versions/012_multi_source_format.py\", \"backend/models.py\", \"backend/schemas.py\"]\nkey_decisions: [\"Used TIMESTAMP (not WITH TIME ZONE) for added_at to stay consistent with existing schema convention\"]\npatterns_established: []\ndrill_down_paths: []\nobservability_surfaces: []\nduration: \"\"\nverification_result: \"Model imports pass with attribute assertions. Schema imports pass. Migration file compiles cleanly. Alembic upgrade head deferred to Docker execution on ub01.\"\ncompleted_at: 2026-04-03T01:16:27.993Z\nblocker_discovered: false\n---\n\n# T01: Added body_sections_format column, technique_page_videos association table, and SourceVideoSummary schema for multi-source technique pages\n\n> Added body_sections_format column, technique_page_videos association table, and SourceVideoSummary schema for multi-source technique pages\n\n## What Happened\n---\nid: T01\nparent: S03\nmilestone: M014\nkey_files:\n  - alembic/versions/012_multi_source_format.py\n  - backend/models.py\n  - backend/schemas.py\nkey_decisions:\n  - Used TIMESTAMP (not WITH TIME ZONE) for added_at to stay consistent with existing schema convention\nduration: \"\"\nverification_result: passed\ncompleted_at: 2026-04-03T01:16:27.994Z\nblocker_discovered: false\n---\n\n# T01: Added body_sections_format column, technique_page_videos association table, and SourceVideoSummary schema for multi-source technique pages\n\n**Added body_sections_format column, technique_page_videos association table, and SourceVideoSummary schema for multi-source technique pages**\n\n## What Happened\n\nCreated Alembic migration 012 with body_sections_format VARCHAR(20) NOT NULL DEFAULT 'v1' on technique_pages and technique_page_videos association table with dual CASCADE FKs and unique constraint. Updated SQLAlchemy models with TechniquePageVideo class and body_sections_format column. Widened Pydantic body_sections type to list | dict | None, added SourceVideoSummary schema, and added source_videos field to TechniquePageDetail.\n\n## Verification\n\nModel imports pass with attribute assertions. Schema imports pass. Migration file compiles cleanly. Alembic upgrade head deferred to Docker execution on ub01.\n\n## Verification Evidence\n\n| # | Command | Exit Code | Verdict | Duration |\n|---|---------|-----------|---------|----------|\n| 1 | `cd backend && python -c \"from models import TechniquePageVideo, TechniquePage; assert hasattr(TechniquePage, 'body_sections_format'); print('models OK')\"` | 0 | ✅ pass | 500ms |\n| 2 | `cd backend && python -c \"from schemas import SourceVideoSummary, TechniquePageDetail; print('schemas OK')\"` | 0 | ✅ pass | 400ms |\n| 3 | `python -c \"import py_compile; py_compile.compile('alembic/versions/012_multi_source_format.py', doraise=True)\"` | 0 | ✅ pass | 200ms |\n\n\n## Deviations\n\nNone.\n\n## Known Issues\n\nNone.\n\n## Files Created/Modified\n\n- `alembic/versions/012_multi_source_format.py`\n- `backend/models.py`\n- `backend/schemas.py`\n\n\n## Deviations\nNone.\n\n## Known Issues\nNone.\n"}],"isError":false,"timestamp":1775179178722}}
{"type":"message","id":"528af4b8","parentId":"df39ce3d","timestamp":"2026-04-03T01:19:38.725Z","message":{"role":"toolResult","toolCallId":"toolu_01GrM1mxZbJp8XKzp3gZCD2Q","toolName":"read","content":[{"type":"text","text":"---\nid: T02\nparent: S03\nmilestone: M014\nprovides: []\nrequires: []\naffects: []\nkey_files: [\"backend/routers/techniques.py\"]\nkey_decisions: []\npatterns_established: []\ndrill_down_paths: []\nobservability_surfaces: []\nduration: \"\"\nverification_result: \"Alembic migration 012 ran clean. API response for existing technique shows body_sections_format: \"v1\" and source_videos: []. Tested via both Docker internal curl and external ub01:8096 URL.\"\ncompleted_at: 2026-04-03T01:19:28.974Z\nblocker_discovered: false\n---\n\n# T02: Wired source_videos and body_sections_format into technique detail API response with eager-loaded association table\n\n> Wired source_videos and body_sections_format into technique detail API response with eager-loaded association table\n\n## What Happened\n---\nid: T02\nparent: S03\nmilestone: M014\nkey_files:\n  - backend/routers/techniques.py\nkey_decisions:\n  - (none)\nduration: \"\"\nverification_result: passed\ncompleted_at: 2026-04-03T01:19:28.974Z\nblocker_discovered: false\n---\n\n# T02: Wired source_videos and body_sections_format into technique detail API response with eager-loaded association table\n\n**Wired source_videos and body_sections_format into technique detail API response with eager-loaded association table**\n\n## What Happened\n\nUpdated get_technique() in backend/routers/techniques.py to eagerly load source_video_links relationship chained to source_video via selectinload. Built source_videos list from association table rows with content_type enum handling. Added imports for TechniquePageVideo and SourceVideoSummary. Deployed to ub01, ran Alembic migration 012, and verified API response includes both new fields with correct defaults.\n\n## Verification\n\nAlembic migration 012 ran clean. API response for existing technique shows body_sections_format: \"v1\" and source_videos: []. Tested via both Docker internal curl and external ub01:8096 URL.\n\n## Verification Evidence\n\n| # | Command | Exit Code | Verdict | Duration |\n|---|---------|-----------|---------|----------|\n| 1 | `cd backend && python -c \"from models import TechniquePageVideo, TechniquePage; assert hasattr(TechniquePage, 'body_sections_format'); print('models OK')\"` | 0 | ✅ pass | 500ms |\n| 2 | `cd backend && python -c \"from schemas import SourceVideoSummary, TechniquePageDetail; print('schemas OK')\"` | 0 | ✅ pass | 400ms |\n| 3 | `ssh ub01 'docker exec chrysopedia-api alembic upgrade head'` | 0 | ✅ pass | 2000ms |\n| 4 | `ssh ub01 'curl -s http://ub01:8096/api/v1/techniques/parallel-stereo-processing-keota | python3 -m json.tool | grep -E body_sections_format|source_videos'` | 0 | ✅ pass | 1000ms |\n\n\n## Deviations\n\nNone.\n\n## Known Issues\n\nNone.\n\n## Files Created/Modified\n\n- `backend/routers/techniques.py`\n\n\n## Deviations\nNone.\n\n## Known Issues\nNone.\n"}],"isError":false,"timestamp":1775179178723}}
{"type":"message","id":"35bdad13","parentId":"528af4b8","timestamp":"2026-04-03T01:19:44.795Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Let me run the slice-level verification checks to confirm everything is still working.","thinkingSignature":"EpECClkIDBgCKkCpz2FPkLWgChg24z1HslFvbZf5tjTSalemSldfxhzqCJIKrnsnZvKIgNnFBM391I6MoT5AVxG4lKdvRIS2urNTMg9jbGF1ZGUtb3B1cy00LTY4ABIMIofk5hssIXfWahrRGgy2e2CjYDwVLhLz1pgiMMTiO6DAOTkNpIxh6EFt6V1fVOkKuhB6dhtCOMdvxa5HN77p5KQlLQT0VXdSJOnywypmSuYiA8jnvb3TTqdJgckO17FNYSZYgs5AOjhlvkQY6R1QQv4oMoqeXDOT6yZFmjFp3BKTnFdcdW8onF42aNMNmtL3b7/ifpO5ffwbD//1RFsL7ajVoeFdn5tj608Ya0EGFA6jDtHGGAE="},{"type":"text","text":"Both tasks completed cleanly. Let me run slice-level verification to confirm the deployed state."},{"type":"toolCall","id":"toolu_01CoEunu1DkeZt8Z35jkidj9","name":"bash","arguments":{"command":"cd backend && python -c \"from models import TechniquePageVideo, TechniquePage; assert hasattr(TechniquePage, 'body_sections_format'); print('models OK')\" && python -c \"from schemas import SourceVideoSummary, TechniquePageDetail; print('schemas OK')\""}},{"type":"toolCall","id":"toolu_01FW9YYDaoFJo8PkqtyJHbEu","name":"bash","arguments":{"command":"ssh ub01 'curl -s http://localhost:8096/api/v1/techniques/$(docker exec chrysopedia-db psql -U chrysopedia -tAc \"SELECT slug FROM technique_pages LIMIT 1\") | python3 -m json.tool' 2>&1 | grep -E '\"body_sections_format\"|\"source_videos\"'"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":295,"cacheRead":66451,"cacheWrite":1935,"totalTokens":68682,"cost":{"input":0.000005,"output":0.0073750000000000005,"cacheRead":0.0332255,"cacheWrite":0.01209375,"total":0.052699249999999996}},"stopReason":"toolUse","timestamp":1775179178724}}
{"type":"message","id":"b6d5d312","parentId":"35bdad13","timestamp":"2026-04-03T01:19:45.260Z","message":{"role":"toolResult","toolCallId":"toolu_01CoEunu1DkeZt8Z35jkidj9","toolName":"bash","content":[{"type":"text","text":"models OK\nschemas OK\n"}],"isError":false,"timestamp":1775179185260}}
{"type":"message","id":"0baeea4b","parentId":"b6d5d312","timestamp":"2026-04-03T01:19:45.714Z","message":{"role":"toolResult","toolCallId":"toolu_01FW9YYDaoFJo8PkqtyJHbEu","toolName":"bash","content":[{"type":"text","text":"    \"body_sections_format\": \"v1\",\n    \"source_videos\": []\n"}],"isError":false,"timestamp":1775179185713}}
{"type":"message","id":"fc203580","parentId":"0baeea4b","timestamp":"2026-04-03T01:19:49.052Z","message":{"role":"assistant","content":[{"type":"text","text":"All verification passes. Let me check for any decisions that need recording."},{"type":"toolCall","id":"toolu_01WJB1VZrxt4HL6WsGtFDmn4","name":"read","arguments":{"limit":20,"path":".gsd/DECISIONS.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":90,"cacheRead":68386,"cacheWrite":352,"totalTokens":68829,"cost":{"input":0.000005,"output":0.0022500000000000003,"cacheRead":0.034193,"cacheWrite":0.0022,"total":0.038648}},"stopReason":"toolUse","timestamp":1775179185713}}
{"type":"message","id":"70616930","parentId":"fc203580","timestamp":"2026-04-03T01:19:49.057Z","message":{"role":"toolResult","toolCallId":"toolu_01WJB1VZrxt4HL6WsGtFDmn4","toolName":"read","content":[{"type":"text","text":"# Decisions Register\n\n<!-- Append-only. Never edit or remove existing rows.\n     To reverse a decision, add a new row that supersedes it.\n     Read this file at the start of any planning or research phase. -->\n\n| # | When | Scope | Decision | Choice | Rationale | Revisable? | Made By |\n|---|------|-------|----------|--------|-----------|------------|---------|\n| D001 |  | architecture | Storage layer selection | PostgreSQL for structured data, Qdrant (existing instance at 10.0.0.10) for vector embeddings, local filesystem for transcript JSON files | Spec specifies PostgreSQL for JSONB support and Qdrant already running on hypervisor. File store on local filesystem organized by creator slug. Qdrant gets a dedicated collection, not a new instance. | Yes | collaborative |\n| D002 |  | architecture | Timestamp handling for asyncpg with TIMESTAMP WITHOUT TIME ZONE columns | Use datetime.now(timezone.utc).replace(tzinfo=None) in _now() helper | asyncpg rejects timezone-aware datetimes for TIMESTAMP WITHOUT TIME ZONE columns. Stripping tzinfo at the application layer preserves UTC semantics while staying compatible with the existing schema. | Yes | agent |\n| D003 |  | requirement | R002 Transcript Ingestion API status | validated | 6 passing integration tests prove the full POST /api/v1/ingest flow: creator auto-detection, SourceVideo upsert, TranscriptSegment bulk insert, raw JSON persistence, idempotent re-upload, and invalid input rejection. | Yes | agent |\n| D004 |  | architecture | Sync vs async approach for Celery worker pipeline tasks | Use sync openai.OpenAI, sync QdrantClient, and sync SQLAlchemy (create_engine with psycopg2) inside Celery tasks. Convert DATABASE_URL from postgresql+asyncpg:// to postgresql:// for the sync engine. | Celery workers run in a synchronous context. Using asyncio.run() inside tasks risks nested event loop errors with gevent/eventlet workers. Using sync clients throughout eliminates this class of bug entirely. The async engine/session from database.py is only used by FastAPI (ASGI); the worker gets its own sync engine. | Yes | agent |\n| D005 |  | architecture | Embedding/Qdrant failure handling strategy in pipeline | Embedding/Qdrant failures (stage 6) log errors but do not fail the pipeline. Processing_status is set by stages 2-5 only. Embeddings can be regenerated by manual re-trigger. | Qdrant is at 10.0.0.10 on the hypervisor network and may not be reachable during all pipeline runs. Making embedding a non-blocking side-effect ensures core pipeline output (KeyMoments, TechniquePages in PostgreSQL) is never lost due to vector store issues. The manual re-trigger endpoint allows regenerating embeddings at any time. | Yes | agent |\n| D006 |  | requirement | R013 Prompt Template System status | validated | 4 prompt template files in prompts/ directory loaded from configurable settings.prompts_path. Templates use XML-style content fencing. Pipeline stages read templates from disk at runtime, enabling edits without code changes. Manual re-trigger endpoint (POST /api/v1/pipeline/trigger/{video_id}) allows re-processing after prompt edits. | Yes | agent |\n| D007 | M001/S04 | architecture | Runtime review mode toggle persistence mechanism | Store review mode toggle in Redis key `chrysopedia:review_mode` with async redis client. Fall back to `settings.review_mode` config default when key is absent. | The config.py `review_mode` setting is loaded via lru_cache from environment variables and cannot be mutated at runtime. Redis is already used by the project (Celery broker, stage 4 classification data) so it adds no new infrastructure. A system_settings DB table would work but Redis is simpler for a single boolean toggle on a single-admin tool. The pipeline's stages.py reads settings.review_mode from config — the admin toggle only affects new pipeline runs if stages.py is updated to check Redis too, but that's deferred since the toggle is primarily a UI-level concept for the review queue. | Yes | agent |\n| D008 | M001/S04 | requirement | R004 Review Queue UI status | validated | All R004 capabilities delivered and verified: 9 API endpoints (approve, reject, edit, split, merge, queue list, stats, mode get/set) with 24 passing integration tests covering happy paths and error boundaries. React+TypeScript frontend with queue page (filter tabs, stats, pagination), moment detail page (all review actions with modals), and review-vs-auto mode toggle. Frontend builds with zero TypeScript errors. | Yes | agent |\n| D009 | M001/S05 | architecture | Async search service pattern for FastAPI request path | Create a separate `SearchService` class using `openai.AsyncOpenAI` and `qdrant_client.AsyncQdrantClient` for the search endpoint. Keep existing sync `EmbeddingClient` and `QdrantManager` for Celery pipeline. Search endpoint has 300ms timeout on embedding API and falls back to SQL ILIKE keyword search on Qdrant/embedding failure. | The existing EmbeddingClient and QdrantManager are sync (using `openai.OpenAI` and `QdrantClient`) because Celery tasks run synchronously. FastAPI request handlers are async — reusing sync clients would block the event loop. Creating a thin async wrapper avoids modifying the battle-tested pipeline code while providing non-blocking search. The 300ms timeout and keyword fallback ensure the search endpoint always returns results, even when Qdrant or the embedding service is degraded. | Yes | agent |\n| D010 | M001/S05 | requirement | R005 Search-First Web UI status | validated | Search endpoint (GET /api/v1/search) with async embedding + Qdrant + keyword fallback implemented and tested. Frontend Home.tsx has prominent search bar with 300ms debounced typeahead, scope toggle via URL params, nav cards for Topics/Creators, Recently Added section. SearchResults.tsx displays grouped results. 5 integration tests verify search happy path, empty query, keyword fallback, scope filter, and no-results. Frontend production build succeeds with zero TypeScript errors. | Yes | agent |\n| D011 | M001/S05 | requirement | R006 Technique Page Display status | validated | TechniquePage.tsx renders all specified sections: header with topic_category badge and topic_tags pills, creator name linked to creator detail, source_quality indicator, amber banner for unstructured content, body_sections JSONB prose (handles both string and object values), key moments index ordered by start_time, signal chains, plugins pill list, and related techniques links. Backend GET /api/v1/techniques/{slug} returns full detail with eager-loaded key_moments and related links. 404 for unknown slug tested. | Yes | agent |\n| D012 | M001/S05 | requirement | R007 Creators Browse Page status | validated | CreatorsBrowse.tsx implements genre filter pills, type-to-narrow name filter, sort toggle (Random default/A-Z/Views). Each creator row shows name, genre tags, technique_count, video_count. Links to CreatorDetail page. Backend GET /api/v1/creators supports sort=random\\|alpha\\|views and genre filter. Integration tests verify random sort, alpha sort, genre filter, detail endpoint, 404, and counts. | Yes | agent |\n\n[13 more lines in file. Use offset=21 to continue.]"}],"isError":false,"timestamp":1775179189055}}
{"type":"message","id":"47864159","parentId":"70616930","timestamp":"2026-04-03T01:20:27.896Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"The T01 decision about TIMESTAMP consistency is minor and already captured in knowledge. No new significant decisions to add. Let me complete the slice.","thinkingSignature":"EtQCClkIDBgCKkBnVJ0SUtstrCcrBq+WZlAGHWja0jCWONWg02AliRDKv7mn83gO+Y8sEntI3YvZ9Yur1rQo3kT5fLe9Klwab+2OMg9jbGF1ZGUtb3B1cy00LTY4ABIM+gv2D/SgVd/VDk74GgxcoUQJwss/Lj4PQF8iMD6ZNruAc1edxxjEjpMIKiDYol/Rm1Go4hpey2jBygfXYapP3GJbV6DiYFGoAkG4VCqoARR/13L2UFQKxsqw/026CCHXuPfMa6cJpodKX6/IdGBg1bS2Xa2CLAvC/opFqSCs8zjStGw45+Tr6I119JBTG85nooX/krxqTCjIgCsRZHwg2qxXo0ftKvUQq78No700bEOYgxu7UOPf/F6nhyv9nLsWAQBaINnd/K87djFsoYSnLKAn5we7XFIkgJ/GZxMUXpGXufAzdMzmPL9yJeBjXSOde6MjCrfzfxgB"},{"type":"text","text":"No new decisions need recording — the TIMESTAMP convention is already in KNOWLEDGE.md. Now I'll complete the slice."},{"type":"toolCall","id":"toolu_0111mWd4UHGU7CD52Ss8ufB3","name":"gsd_complete_slice","arguments":{"affects":["S04","S05","S06"],"deviations":"None.","drillDownPaths":[".gsd/milestones/M014/slices/S03/tasks/T01-SUMMARY.md",".gsd/milestones/M014/slices/S03/tasks/T02-SUMMARY.md"],"filesModified":[{"description":"New migration: body_sections_format column + technique_page_videos table","path":"alembic/versions/012_multi_source_format.py"},{"description":"Added TechniquePageVideo model, body_sections_format column, source_video_links relationship","path":"backend/models.py"},{"description":"Widened body_sections type, added SourceVideoSummary, added source_videos to TechniquePageDetail","path":"backend/schemas.py"},{"description":"Eager-load source_video_links, build source_videos list in technique detail response","path":"backend/routers/techniques.py"}],"followUps":"None.","keyDecisions":["Used TIMESTAMP (not WITH TIME ZONE) for added_at to stay consistent with existing schema convention"],"keyFiles":["alembic/versions/012_multi_source_format.py","backend/models.py","backend/schemas.py","backend/routers/techniques.py"],"knownLimitations":"None.","milestoneId":"M014","narrative":"This slice laid the data foundation for M014's multi-source, nested-section technique pages. Two tasks delivered three changes:\n\n**T01 — Schema + Migration:** Created Alembic migration 012 adding `body_sections_format` (VARCHAR(20), NOT NULL, default 'v1') to technique_pages and a new `technique_page_videos` association table with dual CASCADE foreign keys and a unique constraint on (technique_page_id, source_video_id). Updated SQLAlchemy models with the new `TechniquePageVideo` class and `body_sections_format` column on `TechniquePage`. Widened the Pydantic `body_sections` type from `dict | None` to `list | dict | None` to support both v1 (dict) and v2 (list-of-objects) formats. Added `SourceVideoSummary` schema and `source_videos` field to `TechniquePageDetail`.\n\n**T02 — API Wiring:** Updated `get_technique()` to eagerly load `source_video_links` → `source_video` via chained `selectinload`. Builds the `source_videos` list from association table rows. Ran migration on ub01 and verified the API returns both new fields with correct defaults (`body_sections_format: \"v1\"`, `source_videos: []`).\n\nAll existing technique pages continue to work unchanged — the v1 default ensures backward compatibility.","observabilitySurfaces":[],"oneLiner":"Added body_sections_format column, technique_page_videos association table, and wired both into the API response for multi-source technique pages.","patternsEstablished":["Association table pattern with dual CASCADE FKs and unique constraint for many-to-many with metadata (added_at)","body_sections_format discriminator column for handling multiple content formats in the same table"],"provides":["body_sections_format column on technique_pages (default 'v1')","technique_page_videos association table","SourceVideoSummary schema","source_videos field on TechniquePageDetail API response","body_sections accepts list | dict | None"],"requirementsAdvanced":[],"requirementsInvalidated":[],"requirementsSurfaced":[],"requirementsValidated":[],"requires":[],"sliceId":"S03","sliceTitle":"Data Model + Migration","uatContent":"## UAT: S03 — Data Model + Migration\n\n### Preconditions\n- Chrysopedia stack running on ub01 (all containers healthy)\n- Migration 012 already applied via `docker exec chrysopedia-api alembic upgrade head`\n- At least one technique page exists in the database\n\n### Test 1: Migration Applied Cleanly\n1. SSH to ub01: `ssh ub01`\n2. Check migration history: `docker exec chrysopedia-api alembic current`\n3. **Expected:** Output includes revision for 012_multi_source_format (head)\n4. Verify column exists: `docker exec chrysopedia-db psql -U chrysopedia -c \"\\d technique_pages\" | grep body_sections_format`\n5. **Expected:** `body_sections_format | character varying(20) | not null | ... | 'v1'`\n6. Verify table exists: `docker exec chrysopedia-db psql -U chrysopedia -c \"\\d technique_page_videos\"`\n7. **Expected:** Table with columns: id (uuid), technique_page_id (uuid), source_video_id (uuid), added_at (timestamp)\n\n### Test 2: Existing Pages Have v1 Default\n1. Query: `docker exec chrysopedia-db psql -U chrysopedia -tAc \"SELECT DISTINCT body_sections_format FROM technique_pages\"`\n2. **Expected:** Only `v1` returned (all existing rows defaulted)\n\n### Test 3: API Response Includes New Fields\n1. Get a slug: `SLUG=$(docker exec chrysopedia-db psql -U chrysopedia -tAc \"SELECT slug FROM technique_pages LIMIT 1\")`\n2. Fetch detail: `curl -s http://ub01:8096/api/v1/techniques/$SLUG | python3 -m json.tool`\n3. **Expected:** Response contains `\"body_sections_format\": \"v1\"` and `\"source_videos\": []`\n\n### Test 4: Empty source_videos is Array Not Null\n1. Same curl as Test 3\n2. Parse: `curl -s http://ub01:8096/api/v1/techniques/$SLUG | python3 -c \"import sys,json; d=json.load(sys.stdin); assert isinstance(d['source_videos'], list); assert len(d['source_videos']) == 0; print('OK')\"`\n3. **Expected:** Prints OK (empty array, not null or missing)\n\n### Test 5: Unique Constraint on Association Table\n1. Insert a test row: `docker exec chrysopedia-db psql -U chrysopedia -c \"INSERT INTO technique_page_videos (id, technique_page_id, source_video_id) SELECT gen_random_uuid(), tp.id, sv.id FROM technique_pages tp, source_videos sv LIMIT 1\"`\n2. Repeat the same insert\n3. **Expected:** Second insert fails with unique constraint violation (uq_page_video)\n4. Cleanup: `docker exec chrysopedia-db psql -U chrysopedia -c \"DELETE FROM technique_page_videos\"`\n\n### Test 6: CASCADE Delete Behavior\n1. Note: This is destructive — use only on test data or verify constraint definition instead\n2. Verify FK definitions: `docker exec chrysopedia-db psql -U chrysopedia -c \"SELECT conname, confdeltype FROM pg_constraint WHERE conrelid = 'technique_page_videos'::regclass AND contype = 'f'\"`\n3. **Expected:** Both foreign keys show `confdeltype = 'c'` (CASCADE)\n\n### Edge Cases\n- **Migration downgrade:** `docker exec chrysopedia-api alembic downgrade -1` should drop technique_page_videos table and body_sections_format column cleanly (run only in test environment)","verification":"All slice-level checks passed:\n1. `from models import TechniquePageVideo, TechniquePage; assert hasattr(TechniquePage, 'body_sections_format')` → OK\n2. `from schemas import SourceVideoSummary, TechniquePageDetail` → OK\n3. `alembic upgrade head` on ub01 Docker → clean (migration 012 applied)\n4. `curl` to live API for existing technique → `body_sections_format: \"v1\"` and `source_videos: []` present in response"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":2346,"cacheRead":68738,"cacheWrite":1888,"totalTokens":72973,"cost":{"input":0.000005,"output":0.05865,"cacheRead":0.034369,"cacheWrite":0.0118,"total":0.104824}},"stopReason":"toolUse","timestamp":1775179189056}}
{"type":"message","id":"22bc2565","parentId":"47864159","timestamp":"2026-04-03T01:20:27.928Z","message":{"role":"toolResult","toolCallId":"toolu_0111mWd4UHGU7CD52Ss8ufB3","toolName":"gsd_complete_slice","content":[{"type":"text","text":"Completed slice S03 (M014)"}],"details":{"operation":"complete_slice","sliceId":"S03","milestoneId":"M014","summaryPath":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M014/slices/S03/S03-SUMMARY.md","uatPath":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M014/slices/S03/S03-UAT.md"},"isError":false,"timestamp":1775179227926}}
{"type":"message","id":"19145d36","parentId":"22bc2565","timestamp":"2026-04-03T01:20:30.333Z","message":{"role":"assistant","content":[{"type":"text","text":"Slice S03 complete."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":10,"cacheRead":70626,"cacheWrite":2322,"totalTokens":72959,"cost":{"input":0.000005,"output":0.00025,"cacheRead":0.035313,"cacheWrite":0.014512500000000001,"total":0.0500805}},"stopReason":"stop","timestamp":1775179227927}}
