{"type":"thinking_level_change","id":"0c3e9e28","parentId":null,"timestamp":"2026-04-03T03:58:41.989Z","thinkingLevel":"medium"}
{"type":"model_change","id":"ec265c67","parentId":"0c3e9e28","timestamp":"2026-04-03T03:58:41.990Z","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\nAll relevant context has been preloaded below — start working immediately without re-reading these files.\n\n## Executor Context Constraints\n\nThe agent that executes each task has a **200K token** context window.\n- Recommended task count for this slice: **2–6 tasks**\n- Each task gets ~320K chars of inline context (plans, code, decisions)\n- Keep individual tasks completable within a single context window — if a task needs more context than fits, split it\n\nThen:\n0. If `REQUIREMENTS.md` was preloaded above, identify which Active requirements the roadmap says this slice owns or supports. These are the requirements this plan must deliver — every owned requirement needs at least one task that directly advances it, and verification must prove the requirement is met.\n1. Read the templates:\n   - `~/.gsd/agent/extensions/gsd/templates/plan.md`\n   - `~/.gsd/agent/extensions/gsd/templates/task-plan.md`\n2.  Record the installed skills you expect executors to use in each task plan's `skills_used` frontmatter.\n3. Define slice-level verification — the objective stopping condition for this slice:\n   - For non-trivial slices: plan actual test files with real assertions. Name the files.\n   - For simple slices: executable commands or script assertions are fine.\n   - If the project is non-trivial and has no test framework, the first task should set one up.\n   - If this slice establishes a boundary contract, verification must exercise that contract.\n4. **For non-trivial slices only** — plan observability, proof level, and integration closure:\n   - Include `Observability / Diagnostics` for backend, integration, async, stateful, or UI slices where failure diagnosis matters.\n   - Fill `Proof Level` and `Integration Closure` when the slice crosses runtime boundaries or has meaningful integration concerns.\n   - **Omit these sections entirely for simple slices** where they would all be \"none\" or trivially obvious.\n5. **Quality gates** — for non-trivial slices, fill the Threat Surface (Q3) and Requirement Impact (Q4) sections in the slice plan:\n   - **Threat Surface:** Identify abuse scenarios, data exposure risks, and input trust boundaries. Required when the slice handles user input, authentication, authorization, or sensitive data. Omit entirely for internal refactoring or simple changes.\n   - **Requirement Impact:** List which existing requirements this slice touches, what must be re-verified after shipping, and which prior decisions should be reconsidered. Omit entirely if no existing requirements are affected.\n   - For each task in a non-trivial slice, fill Failure Modes (Q5), Load Profile (Q6), and Negative Tests (Q7) in the task plan when the task has external dependencies, shared resources, or non-trivial input handling. Omit for simple tasks.\n6. Decompose the slice into tasks, each fitting one context window. Each task needs:\n   - a concrete, action-oriented title\n   - the inline task entry fields defined in the plan.md template (Why / Files / Do / Verify / Done when)\n   - a matching task plan file with description, steps, must-haves, verification, inputs, and expected output\n   - **Inputs and Expected Output must list concrete backtick-wrapped file paths** (e.g. `` `src/types.ts` ``). These are machine-parsed to derive task dependencies — vague prose without paths breaks parallel execution. Every task must have at least one output file path.\n   - Observability Impact section **only if the task touches runtime boundaries, async flows, or error paths** — omit it otherwise\n7. **Persist planning state through `gsd_plan_slice`.** Call it with the full slice planning payload (goal, demo, must-haves, verification, tasks, and metadata). The tool inserts all tasks in the same transaction, writes to the DB, and renders `/home/aux/projects/content-to-kb-automator/.gsd/milestones/M015/slices/S01/S01-PLAN.md` and `.gsd/milestones/M015/slices/S01/tasks/T##-PLAN.md` files automatically. Do **not** call `gsd_plan_task` separately — `gsd_plan_slice` handles task persistence. Do **not** rely on direct `PLAN.md` writes as the source of truth; the DB-backed tool is the canonical write path for slice and task planning state.\n8. **Self-audit the plan.** Walk through each check — if any fail, fix the plan files before moving on:\n    - **Completion semantics:** If every task were completed exactly as written, the slice goal/demo should actually be true.\n    - **Requirement coverage:** Every must-have in the slice maps to at least one task. No must-have is orphaned. If `REQUIREMENTS.md` exists, every Active requirement this slice owns maps to at least one task.\n    - **Task completeness:** Every task has steps, must-haves, verification, inputs, and expected output — none are blank or vague. Inputs and Expected Output list backtick-wrapped file paths, not prose descriptions.\n    - **Dependency correctness:** Task ordering is consistent. No task references work from a later task.\n    - **Key links planned:** For every pair of artifacts that must connect, there is an explicit step that wires them.\n    - **Scope sanity:** Target 2–5 steps and 3–8 files per task. 10+ steps or 12+ files — must split. Each task must be completable in a single fresh context window.\n    - **Feature completeness:** Every task produces real, user-facing progress — not just internal scaffolding.\n    - **Quality gate coverage:** For non-trivial slices, Threat Surface and Requirement Impact sections are present and specific (not placeholder text). For non-trivial tasks, Failure Modes, Load Profile, and Negative Tests are addressed in the task plan.\n10. If planning produced structural decisions, append them to `.gsd/DECISIONS.md`\n11. Do not commit — .gsd/ planning docs are managed externally and not tracked in git.\n\nThe slice directory and tasks/ subdirectory already exist. Do NOT mkdir. All work stays in your working directory: `/home/aux/projects/content-to-kb-automator`.\n\n**You MUST call `gsd_plan_slice` to persist the planning state before finishing.**\n\nWhen done, say: \"Slice S01 planned.\"\n## UNIT: Plan Slice S01 (\"Search Query Logging + Popular Searches API\") — Milestone M015\n\n## Inlined Context (preloaded — do not re-read these files)\n\n### Milestone Roadmap\nSource: `.gsd/milestones/M015/M015-ROADMAP.md`\n\n# M015: \n\n## Vision\nAdd social proof and freshness signals to the public site: search query logging with popular/trending searches display, creator last-updated dates, homepage stats scorecard, and admin dropdown hover behavior.\n\n## Slice Overview\n| ID | Slice | Risk | Depends | Done | After this |\n|----|-------|------|---------|------|------------|\n| S01 | Search Query Logging + Popular Searches API | medium | — | ⬜ | GET /api/v1/search/popular returns top 10 queries from last 7 days, cached in Redis. search_log table has rows from real searches. |\n| S02 | Creator Freshness + Homepage Card Dates | low | — | ⬜ | Creators browse page shows 'Last updated: Apr 3' per creator. Homepage recently-added cards show a subtle date. |\n| S03 | Homepage Stats Scorecard | low | — | ⬜ | Homepage shows a metric block with article count, creator count in scorecard style matching the dark/cyan design. |\n| S04 | Trending Searches Homepage Block | low | S01 | ⬜ | Homepage shows a 'Trending Searches' section with real-time terms people are searching. |\n| S05 | Admin Dropdown Hover on Desktop | low | — | ⬜ | Admin dropdown opens on hover at desktop widths. On mobile, opens on tap. |\n\n---\n\n### Slice Research\nSource: `.gsd/milestones/M015/slices/S01/S01-RESEARCH.md`\n\n# S01 Research — Search Query Logging + Popular Searches API\n\n**Depth:** Light — all patterns established in codebase, no new technology.\n\n## Summary\n\nThis slice adds: (1) a `search_log` PostgreSQL table, (2) non-blocking INSERT on every search request, (3) a `GET /api/v1/search/popular` endpoint that returns top-10 queries from the last 7 days with Redis read-through cache (5-min TTL), and (4) Alembic migration. All building blocks exist in the codebase already.\n\n**Requirements targeted:** R035 (Popular Search Terms Display) — this slice delivers the backend half (logging + API). S04 delivers the frontend display.\n\n## Implementation Landscape\n\n### Existing Code\n\n| File | Role | Relevance |\n|---|---|---|\n| `backend/routers/search.py` | Search router (`/api/v1/search`) | Add logging hook inside `search()`, add new `/popular` endpoint |\n| `backend/models.py` | All SQLAlchemy models | Add `SearchLog` model |\n| `backend/schemas.py` | Pydantic response models | Add `PopularSearchItem` + `PopularSearchesResponse` |\n| `backend/database.py` | Async engine + session factory | Use `async_session()` for fire-and-forget INSERT |\n| `backend/redis_client.py` | `get_redis()` → `redis.asyncio` client | Use for cache get/set |\n| `backend/config.py` | Settings with `redis_url` | Already has Redis URL |\n| `backend/main.py` | Router mounting at `/api/v1` | Search router already mounted, no changes needed |\n| `alembic/` | Migration infrastructure | New migration for `search_log` table |\n\n### SearchLog Model Design\n\n```\nsearch_log table:\n  id: int (PK, autoincrement)\n  query: str (indexed) — the raw search query\n  scope: str — \"all\" | \"topics\" | \"creators\"\n  result_count: int — number of results returned\n  created_at: datetime (indexed) — naive UTC timestamp\n```\n\nIndex on `created_at` for the 7-day window query. Index on `query` for the GROUP BY aggregation.\n\n### Non-blocking INSERT Pattern\n\nThe search endpoint is async. To avoid slowing the response, use `asyncio.create_task()` with a helper that opens its own session, INSERTs, commits, and handles errors silently (log WARNING on failure). This is the same \"non-blocking side-effect\" pattern documented in KNOWLEDGE.md.\n\n```python\nasync def _log_search(query: str, scope: str, result_count: int) -> None:\n    try:\n        async with async_session() as session:\n            session.add(SearchLog(query=query, scope=scope, result_count=result_count))\n            await session.commit()\n    except Exception:\n        logger.warning(\"Failed to log search query\", exc_info=True)\n```\n\nCall `asyncio.create_task(_log_search(...))` after computing results but before returning the response.\n\n### Popular Searches Endpoint\n\n`GET /api/v1/search/popular` — no auth required.\n\nLogic:\n1. Check Redis key `chrysopedia:popular_searches` \n2. If cache hit → return parsed JSON\n3. If cache miss → query `search_log` table:\n   ```sql\n   SELECT LOWER(query), COUNT(*) as cnt \n   FROM search_log \n   WHERE created_at > now() - interval '7 days'\n   GROUP BY LOWER(query)\n   ORDER BY cnt DESC\n   LIMIT 10\n   ```\n4. Serialize to JSON, SET in Redis with 300s TTL (5 minutes per D025)\n5. Return response\n\nResponse schema:\n```python\nclass PopularSearchItem(BaseModel):\n    query: str\n    count: int\n\nclass PopularSearchesResponse(BaseModel):\n    items: list[PopularSearchItem]\n    cached: bool = False\n```\n\n### Alembic Migration\n\nNext migration: `013_add_search_log.py`. The `alembic/versions/` directory has migrations up to `012_multi_source_format.py`. Alembic runs inside Docker: `docker exec chrysopedia-api alembic upgrade head`.\n\n### Key Constraints\n\n- **Naive datetimes:** Use `_now()` helper from models.py (strips tzinfo) per KNOWLEDGE rule about asyncpg rejecting timezone-aware datetimes.\n- **Non-blocking:** `asyncio.create_task()` — don't await the INSERT in the request path.\n- **Redis TTL:** 300 seconds (5 min) per D025.\n- **Cache key:** `chrysopedia:popular_searches` per M015-CONTEXT.md integration points.\n- **LOWER(query):** Normalize case so \"Reverb\" and \"reverb\" count as one term.\n\n## Recommendation\n\n### Task Decomposition (3 tasks)\n\n**T01: SearchLog model + Alembic migration** (~10 min)\n- Add `SearchLog` class to `models.py`\n- Generate Alembic migration (`013_add_search_log.py`)\n- Run migration on ub01\n- Verify: `docker exec chrysopedia-db psql -U chrysopedia -c \"\\d search_log\"`\n\n**T02: Search logging hook + popular endpoint** (~15 min)  \n- Add `PopularSearchItem` and `PopularSearchesResponse` to `schemas.py`\n- Add `_log_search()` async helper and `asyncio.create_task()` call in `search()` handler\n- Add `GET /popular` endpoint to search router with Redis read-through cache\n- Verify: curl search → check DB row; curl popular → check response + Redis key\n\n**T03: Deploy + integration verify** (~5 min)\n- Rebuild containers on ub01\n- Run a few real searches via the UI\n- Confirm `search_log` rows appear\n- Confirm `/api/v1/search/popular` returns results\n- Restart nginx if needed (KNOWLEDGE: stale DNS after rebuild)\n\n### Risks\n\nNone significant. Volume is tiny (~dozens of searches/day). The fire-and-forget task pattern is standard Python asyncio. Redis client is already available.\n\n---\n\n### Decisions\nSource: `.gsd/DECISIONS.md`\n\n# Decisions (compact)\nFields: id | when | scope | decision | choice | rationale | revisable | made_by\n\nD025 | M015 | architecture | Search query storage and popular searches architecture | PostgreSQL search_log table + Redis read-through cache with 5-min TTL | PostgreSQL gives full historical data for future analytics (zero-result queries, time-of-day patterns). Redis cache prevents DB query on every homepage load. 5-min TTL balances freshness with load. Volume is tiny at current scale. | Yes | collaborative\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## R033 — Creator Last Updated Date\n**Status:** active\n**Description:** Each creator shows when their latest technique page was added. Visible on Creators browse page and subtly on homepage recently-added cards.\n**Validation:** Creators browse page shows \"Last updated\" per creator. Homepage cards show a small date.\n**Primary Owner:** M015/S02\n\n## R034 — Homepage Stats Scorecard\n**Status:** active\n**Description:** Homepage displays a visual metrics block showing article count, creator count in a scorecard/metric style that communicates volume and credibility without being literal or boastful.\n**Validation:** Homepage renders stats block with real counts from the API.\n**Primary Owner:** M015/S03\n\n## R035 — Popular Search Terms Display\n**Status:** active\n**Description:** Show real search terms users are using in real-time. Backend logs all search queries to PostgreSQL, caches popular queries in Redis, and exposes a trending endpoint. Frontend displays these on the homepage.\n**Validation:** Search queries are logged. Popular searches endpoint returns cached top-N. Homepage shows trending terms.\n**Primary Owner:** M015/S01\n**Supporting Slices:** M015/S04\n\n## R036 — Admin Dropdown Hover on Desktop\n**Status:** active\n**Description:** Admin navigation dropdown opens on mouse hover at desktop viewport widths (≥768px). On mobile/touch, remains click/tap to expand.\n**Validation:** Desktop: hovering over \"Admin ▾\" opens the dropdown menu. Mobile: requires tap.\n**Primary Owner:** M015/S05\n\n---\n\n[...truncated 3 sections]\n\n### Dependency Slice Summaries\n\nPay particular attention to **Forward Intelligence** sections — they contain hard-won knowledge about what's fragile, what assumptions changed, and what this slice should watch out for.\n\n- (no dependencies)\n\n## Your Role in the Pipeline\n\nYou have full tool access. Before decomposing, explore the relevant code to ground your plan in reality.\n\n### Verify Roadmap Assumptions\n\nCheck prior slice summaries (inlined above as dependency summaries, if present). If prior slices discovered constraints, changed approaches, or flagged fragility, adjust your plan accordingly. The roadmap description may be stale — verify it against the current codebase state.\n\n### Explore Slice Scope\n\nRead the code files relevant to this slice. Confirm the roadmap's description of what exists, what needs to change, and what boundaries apply. Use `rg`, `find`, and targeted reads.\n\n### Source Files\n\n- **Project**: `.gsd/PROJECT.md`\n- **Requirements**: `.gsd/REQUIREMENTS.md`\n- **Decisions**: `.gsd/DECISIONS.md`\n- **Milestone Context**: `.gsd/milestones/M015/M015-CONTEXT.md`\n- **Roadmap**: `.gsd/milestones/M015/M015-ROADMAP.md`\n- **Slice Research**: `.gsd/milestones/M015/slices/S01/S01-RESEARCH.md`\n\nIf slice research exists (inlined above), trust those findings and skip redundant exploration.\n\nAfter you finish, **executor agents** implement each task in isolated fresh context windows. They see only their task plan, the slice plan excerpt (goal/demo/verification), and compressed summaries of prior tasks. They do not see the research doc, the roadmap, or REQUIREMENTS.md. Everything an executor needs must be in the task plan itself — file paths, specific steps, expected inputs and outputs.\n\nNarrate your decomposition reasoning — why you're grouping work this way, what risks are driving the order, what verification strategy you're choosing and why. Keep the narration proportional to the work — a simple slice doesn't need a long justification — but write in complete sentences, not planner shorthand.\n\n**Right-size the plan.** If the slice is simple enough to be 1 task, plan 1 task. Don't split into multiple tasks just because you can identify sub-steps. Don't fill in sections with \"None\" when the section doesn't apply — omit them entirely. The plan's job is to guide execution, not to fill a template.\n","display":false,"id":"f013bd2e","parentId":"ec265c67","timestamp":"2026-04-03T03:58:41.993Z"}
{"type":"message","id":"1db39623","parentId":"f013bd2e","timestamp":"2026-04-03T03:58:48.002Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Let me explore the relevant code files to ground the plan in reality before decomposing.","thinkingSignature":"EpMCClkIDBgCKkAeowBEweESd0GHZY7O3Lwv583DooaHO95ExbNAAeXs2tM/rWbd9+l+X00R9TvvWukcWfXnxWX3EZ7ufDgnASq7Mg9jbGF1ZGUtb3B1cy00LTY4ABIMhOg3OxbpZerbEx6PGgxUTUX5pOCJjgvfRo8iMEp7YMJhs3eiSyti1pnkasgdxkCB6rcpdkWN5mzHyF74Nr1I4yuaLrTFoPLJEgYi1ypoYdQ1T/G2ismF+1WPNQmaW+FI9GGM5XR7V13+N3OVnO+cbu9zWSl6m2AcL5PU4P7Tfch8r4McyjFjHwoZ9TlNR2HT5gW88er5JrRgiTWLhax0Zvwl8RWtxGVi4mWbryPm9pHVbEc3ZxwYAQ=="},{"type":"text","text":"Let me verify the current state of the codebase before planning."},{"type":"toolCall","id":"toolu_015FBF2sqGGuPG4Thzz2TfNw","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && find backend/routers/search.py backend/models.py backend/schemas.py backend/database.py backend/redis_client.py backend/config.py -type f 2>/dev/null | head -20"}},{"type":"toolCall","id":"toolu_01JuAvFdjuDfxa3CWLLgZht5","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && ls alembic/versions/ | sort | tail -5"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":2,"output":230,"cacheRead":60281,"cacheWrite":7821,"totalTokens":68334,"cost":{"input":0.00001,"output":0.00575,"cacheRead":0.030140499999999997,"cacheWrite":0.04888125,"total":0.08478174999999999}},"stopReason":"toolUse","timestamp":1775188721991}}
{"type":"message","id":"575468dd","parentId":"1db39623","timestamp":"2026-04-03T03:58:48.025Z","message":{"role":"toolResult","toolCallId":"toolu_015FBF2sqGGuPG4Thzz2TfNw","toolName":"bash","content":[{"type":"text","text":"backend/routers/search.py\nbackend/models.py\nbackend/schemas.py\nbackend/database.py\nbackend/redis_client.py\nbackend/config.py\n"}],"isError":false,"timestamp":1775188728025}}
{"type":"message","id":"4f1834ca","parentId":"575468dd","timestamp":"2026-04-03T03:58:48.031Z","message":{"role":"toolResult","toolCallId":"toolu_01JuAvFdjuDfxa3CWLLgZht5","toolName":"bash","content":[{"type":"text","text":"009_add_creator_hidden_flag.py\n010_add_pipeline_runs.py\n011_classification_cache_and_stage_rerun.py\n012_multi_source_format.py\n__pycache__\n"}],"isError":false,"timestamp":1775188728028}}
{"type":"message","id":"17979b3f","parentId":"4f1834ca","timestamp":"2026-04-03T03:58:51.227Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_01Hw29GfV6W7zN1iVaQX3jTs","name":"read","arguments":{"path":"backend/routers/search.py"}},{"type":"toolCall","id":"toolu_01Krrko7sVxq8uEyPqDLnxQt","name":"read","arguments":{"path":"backend/redis_client.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":98,"cacheRead":68102,"cacheWrite":352,"totalTokens":68553,"cost":{"input":0.000005,"output":0.00245,"cacheRead":0.034051,"cacheWrite":0.0022,"total":0.038706}},"stopReason":"toolUse","timestamp":1775188728029}}
{"type":"message","id":"e5c0e978","parentId":"17979b3f","timestamp":"2026-04-03T03:58:51.231Z","message":{"role":"toolResult","toolCallId":"toolu_01Hw29GfV6W7zN1iVaQX3jTs","toolName":"read","content":[{"type":"text","text":"\"\"\"Search endpoint for semantic + keyword search with graceful fallback.\"\"\"\n\nfrom __future__ import annotations\n\nimport logging\nfrom typing import Annotated\n\nfrom fastapi import APIRouter, Depends, Query\nfrom sqlalchemy import func, select\nfrom sqlalchemy.ext.asyncio import AsyncSession\n\nfrom config import get_settings\nfrom database import get_session\nfrom models import Creator, TechniquePage\nfrom schemas import (\n    SearchResponse,\n    SearchResultItem,\n    SuggestionItem,\n    SuggestionsResponse,\n)\nfrom search_service import SearchService\n\nlogger = logging.getLogger(\"chrysopedia.search.router\")\n\nrouter = APIRouter(prefix=\"/search\", tags=[\"search\"])\n\n\ndef _get_search_service() -> SearchService:\n    \"\"\"Build a SearchService from current settings.\"\"\"\n    return SearchService(get_settings())\n\n\n@router.get(\"\", response_model=SearchResponse)\nasync def search(\n    q: Annotated[str, Query(max_length=500)] = \"\",\n    scope: Annotated[str, Query()] = \"all\",\n    sort: Annotated[str, Query()] = \"relevance\",\n    limit: Annotated[int, Query(ge=1, le=100)] = 20,\n    db: AsyncSession = Depends(get_session),\n) -> SearchResponse:\n    \"\"\"Semantic search with keyword fallback.\n\n    - **q**: Search query (max 500 chars). Empty → empty results.\n    - **scope**: ``all`` | ``topics`` | ``creators``. Invalid → defaults to ``all``.\n    - **limit**: Max results (1–100, default 20).\n    \"\"\"\n    svc = _get_search_service()\n    result = await svc.search(query=q, scope=scope, sort=sort, limit=limit, db=db)\n    return SearchResponse(\n        items=[SearchResultItem(**item) for item in result[\"items\"]],\n        partial_matches=[SearchResultItem(**item) for item in result.get(\"partial_matches\", [])],\n        total=result[\"total\"],\n        query=result[\"query\"],\n        fallback_used=result[\"fallback_used\"],\n    )\n\n\n@router.get(\"/suggestions\", response_model=SuggestionsResponse)\nasync def suggestions(\n    db: AsyncSession = Depends(get_session),\n) -> SuggestionsResponse:\n    \"\"\"Return popular search suggestions for autocomplete.\n\n    Combines top technique pages (by view_count), popular topic tags\n    (by technique count), and top creators (by view_count).\n    Returns 8–12 deduplicated items.\n    \"\"\"\n    seen: set[str] = set()\n    items: list[SuggestionItem] = []\n\n    def _add(text: str, type_: str) -> None:\n        key = text.lower()\n        if key not in seen:\n            seen.add(key)\n            items.append(SuggestionItem(text=text, type=type_))\n\n    # Top 4 technique pages by view_count\n    tp_stmt = (\n        select(TechniquePage.title)\n        .order_by(TechniquePage.view_count.desc(), TechniquePage.title)\n        .limit(4)\n    )\n    tp_result = await db.execute(tp_stmt)\n    for (title,) in tp_result.all():\n        _add(title, \"technique\")\n\n    # Top 4 topic tags by how many technique pages use them\n    # Unnest the topic_tags ARRAY and count occurrences\n    tag_unnest = (\n        select(\n            func.unnest(TechniquePage.topic_tags).label(\"tag\"),\n        )\n        .where(TechniquePage.topic_tags.isnot(None))\n        .subquery()\n    )\n    tag_stmt = (\n        select(\n            tag_unnest.c.tag,\n            func.count().label(\"cnt\"),\n        )\n        .group_by(tag_unnest.c.tag)\n        .order_by(func.count().desc(), tag_unnest.c.tag)\n        .limit(4)\n    )\n    tag_result = await db.execute(tag_stmt)\n    for tag, _cnt in tag_result.all():\n        _add(tag, \"topic\")\n\n    # Top 4 creators by view_count\n    cr_stmt = (\n        select(Creator.name)\n        .where(Creator.hidden.is_(False))\n        .order_by(Creator.view_count.desc(), Creator.name)\n        .limit(4)\n    )\n    cr_result = await db.execute(cr_stmt)\n    for (name,) in cr_result.all():\n        _add(name, \"creator\")\n\n    return SuggestionsResponse(suggestions=items)\n"}],"isError":false,"timestamp":1775188731230}}
{"type":"message","id":"1c1f4701","parentId":"e5c0e978","timestamp":"2026-04-03T03:58:51.235Z","message":{"role":"toolResult","toolCallId":"toolu_01Krrko7sVxq8uEyPqDLnxQt","toolName":"read","content":[{"type":"text","text":"\"\"\"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"}],"isError":false,"timestamp":1775188731233}}
{"type":"message","id":"a16fc3b2","parentId":"1c1f4701","timestamp":"2026-04-03T03:58:55.893Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_019vdvg27chPHBbMGjeezL2k","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"class.*Base\\|def _now\\|created_at\" backend/models.py | head -20"}},{"type":"toolCall","id":"toolu_013SoSEWQCHaYHaotfP8F59F","name":"bash","arguments":{"command":"cd /home/aux/projects/content-to-kb-automator && grep -n \"class.*BaseModel\\|SearchResponse\\|SearchResult\" backend/schemas.py | head -20"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":172,"cacheRead":68454,"cacheWrite":1432,"totalTokens":70059,"cost":{"input":0.000005,"output":0.0043,"cacheRead":0.034227,"cacheWrite":0.00895,"total":0.047481999999999996}},"stopReason":"toolUse","timestamp":1775188731233}}
{"type":"message","id":"e8a1b266","parentId":"a16fc3b2","timestamp":"2026-04-03T03:58:55.908Z","message":{"role":"toolResult","toolCallId":"toolu_019vdvg27chPHBbMGjeezL2k","toolName":"bash","content":[{"type":"text","text":"87:def _now() -> datetime:\n98:class Creator(Base):\n108:    created_at: Mapped[datetime] = mapped_column(\n120:class SourceVideo(Base):\n142:    created_at: Mapped[datetime] = mapped_column(\n155:class TranscriptSegment(Base):\n172:class KeyMoment(Base):\n192:    created_at: Mapped[datetime] = mapped_column(\n206:class TechniquePage(Base):\n229:    created_at: Mapped[datetime] = mapped_column(\n255:class RelatedTechniqueLink(Base):\n282:class TechniquePageVersion(Base):\n293:    created_at: Mapped[datetime] = mapped_column(\n303:class Tag(Base):\n312:class TechniquePageVideo(Base):\n358:class ContentReport(Base):\n390:    created_at: Mapped[datetime] = mapped_column(\n415:class PipelineRun(Base):\n455:class PipelineEvent(Base):\n484:    created_at: Mapped[datetime] = mapped_column(\n"}],"isError":false,"timestamp":1775188735908}}
{"type":"message","id":"be0a3f3c","parentId":"e8a1b266","timestamp":"2026-04-03T03:58:55.912Z","message":{"role":"toolResult","toolCallId":"toolu_013SoSEWQCHaYHaotfP8F59F","toolName":"bash","content":[{"type":"text","text":"18:class HealthResponse(BaseModel):\n27:class CreatorBase(BaseModel):\n52:class SourceVideoBase(BaseModel):\n75:class TranscriptSegmentBase(BaseModel):\n94:class KeyMomentBase(BaseModel):\n119:class TechniquePageBase(BaseModel):\n150:class RelatedTechniqueLinkBase(BaseModel):\n166:class TagBase(BaseModel):\n182:class TranscriptIngestResponse(BaseModel):\n196:class PaginatedResponse(BaseModel):\n206:class SearchResultItem(BaseModel):\n223:class SearchResponse(BaseModel):\n225:    items: list[SearchResultItem] = Field(default_factory=list)\n226:    partial_matches: list[SearchResultItem] = Field(default_factory=list)\n232:class SuggestionItem(BaseModel):\n238:class SuggestionsResponse(BaseModel):\n245:class KeyMomentSummary(BaseModel):\n260:class RelatedLinkItem(BaseModel):\n272:class CreatorInfo(BaseModel):\n281:class SourceVideoSummary(BaseModel):\n"}],"isError":false,"timestamp":1775188735911}}
{"type":"message","id":"02054de8","parentId":"be0a3f3c","timestamp":"2026-04-03T03:58:59.937Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"toolu_012Sy3uvQZEgyzXdS47dD7wu","name":"read","arguments":{"limit":20,"offset":80,"path":"backend/models.py"}},{"type":"toolCall","id":"toolu_0189yngzWvTjvqhFGemCJh2S","name":"read","arguments":{"path":"backend/database.py"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":127,"cacheRead":69886,"cacheWrite":772,"totalTokens":70786,"cost":{"input":0.000005,"output":0.0031750000000000003,"cacheRead":0.034943,"cacheWrite":0.004825,"total":0.04294800000000001}},"stopReason":"toolUse","timestamp":1775188735911}}
{"type":"message","id":"d79ff969","parentId":"02054de8","timestamp":"2026-04-03T03:58:59.939Z","message":{"role":"toolResult","toolCallId":"toolu_012Sy3uvQZEgyzXdS47dD7wu","toolName":"read","content":[{"type":"text","text":"        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[398 more lines in file. Use offset=100 to continue.]"}],"isError":false,"timestamp":1775188739939}}
{"type":"message","id":"62d64981","parentId":"d79ff969","timestamp":"2026-04-03T03:58:59.941Z","message":{"role":"toolResult","toolCallId":"toolu_0189yngzWvTjvqhFGemCJh2S","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":1775188739940}}
{"type":"message","id":"7f766243","parentId":"62d64981","timestamp":"2026-04-03T03:59:05.629Z","message":{"role":"assistant","content":[{"type":"text","text":"Good — I've confirmed all the pieces. The research doc is accurate: `async_session` is importable, `_now()` exists, `get_redis()` returns a decode_responses client. The latest migration is `012_multi_source_format.py`. Now let me read the templates."},{"type":"toolCall","id":"toolu_011U2Msdsgmzio3PfKuobd9Z","name":"read","arguments":{"path":"~/.gsd/agent/extensions/gsd/templates/plan.md"}},{"type":"toolCall","id":"toolu_011VS257m7Z39QzNz5PSihYY","name":"read","arguments":{"path":"~/.gsd/agent/extensions/gsd/templates/task-plan.md"}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":186,"cacheRead":70658,"cacheWrite":587,"totalTokens":71432,"cost":{"input":0.000005,"output":0.0046500000000000005,"cacheRead":0.035329,"cacheWrite":0.00366875,"total":0.04365275}},"stopReason":"toolUse","timestamp":1775188739940}}
{"type":"message","id":"32814662","parentId":"7f766243","timestamp":"2026-04-03T03:59:05.631Z","message":{"role":"toolResult","toolCallId":"toolu_011U2Msdsgmzio3PfKuobd9Z","toolName":"read","content":[{"type":"text","text":"# {{sliceId}}: {{sliceTitle}}\n\n**Goal:** {{goal}}\n**Demo:** {{demo}}\n\n## Must-Haves\n\n- {{mustHave}}\n- {{mustHave}}\n\n## Threat Surface\n\n<!-- Q3: How can this be exploited? OMIT ENTIRELY for simple slices with no auth, user input, or data exposure. -->\n\n- **Abuse**: {{abuseScenarios — parameter tampering, replay, privilege escalation, or N/A}}\n- **Data exposure**: {{sensitiveDataAccessible — PII, tokens, secrets, or none}}\n- **Input trust**: {{untrustedInput — user input reaching DB/API/filesystem, or none}}\n\n## Requirement Impact\n\n<!-- Q4: What existing promises does this break? OMIT ENTIRELY if no existing requirements are affected. -->\n\n- **Requirements touched**: {{requirementIds — e.g. R001, R003, or none}}\n- **Re-verify**: {{whatMustBeRetested — e.g. login flow, API contract, or N/A}}\n- **Decisions revisited**: {{decisionIds — e.g. D002, or none}}\n\n## Proof Level\n\n<!-- Omit this section entirely for simple slices where the answer is trivially obvious. -->\n\n- This slice proves: {{contract | integration | operational | final-assembly}}\n- Real runtime required: {{yes/no}}\n- Human/UAT required: {{yes/no}}\n\n## Verification\n\n<!-- Define what \"done\" looks like BEFORE detailing tasks.\n     This section is the slice's objective stopping condition — execution isn't done\n     until everything here passes.\n\n     For non-trivial projects:\n     - Write actual test files into the codebase during the first task\n     - Tests should assert on the slice's demo outcome and boundary contracts\n     - Name the test files here so execution has an unambiguous target\n\n     For simple projects or scripts:\n     - Executable verification commands (bash assertions, curl checks, etc.) are sufficient\n\n     If the project has no test framework and the work is non-trivial,\n     the first task should set one up. A test runner costs 2 minutes\n     and pays for itself immediately.\n\n     For non-trivial backend, integration, async, stateful, or UI work:\n     - Include at least one verification check for an observability or failure-path signal\n     - Verify not just that the feature works, but that a future agent can inspect its state when it fails -->\n\n- {{testFileOrCommand — e.g. `npm test -- --grep \"auth flow\"` or `bash scripts/verify-s01.sh`}}\n- {{testFileOrCommand}}\n\n## Observability / Diagnostics\n\n<!-- Include this section for non-trivial backend, integration, async, stateful, or UI slices.\n     OMIT ENTIRELY for simple slices where all fields would be \"none\".\n\n     When included, describe how a future agent will inspect current state, detect failure,\n     and localize the problem with minimal ambiguity. Keep it concise and high-signal. -->\n\n- Runtime signals: {{structured log/event, state transition, metric, or none}}\n- Inspection surfaces: {{status endpoint, CLI command, script, UI state, DB table, or none}}\n- Failure visibility: {{last error, retry count, phase, timestamp, correlation id, or none}}\n- Redaction constraints: {{secret/PII boundary or none}}\n\n## Integration Closure\n\n<!-- Omit this section entirely for simple slices with no meaningful integration concerns. -->\n\n- Upstream surfaces consumed: {{specific files / modules / contracts}}\n- New wiring introduced in this slice: {{entrypoint / composition / runtime hookup, or none}}\n- What remains before the milestone is truly usable end-to-end: {{list or \"nothing\"}}\n\n## Tasks\n\n<!--\n  If every task below is completed exactly as written, the Goal and Demo above\n  should be true at the stated proof level. Tasks should close the loop on the\n  slice, not merely prepare for later work unless the Demo truthfully says the\n  slice only proves fixture/contract-level behavior.\n\n  Write each task as an executable increment, not a vague intention.\n\n  Prefer action-oriented titles:\n  - \"Wire real auth middleware into dashboard routes\"\n  - \"Persist job status and expose failure diagnostics\"\n  - \"Add browser test covering empty-state recovery\"\n\n  Avoid vague titles:\n  - \"Set up auth\"\n  - \"Handle errors\"\n  - \"Improve UI\"\n\n  Each task should usually include:\n  - Why: why this task exists / what part of the slice it closes\n  - Files: the main files likely touched\n  - Do: concrete implementation steps and important constraints\n  - Verify: the command, test, or runtime check that proves it worked\n  - Done when: a measurable acceptance condition\n\n  Keep the checkbox line format exactly:\n  - [ ] **T01: Title** `est:30m`\n-->\n\n- [ ] **T01: {{taskTitle}}** `est:{{estimate}}`\n  - Why: {{whyThisTaskExists}}\n  - Files: `{{filePath}}`, `{{filePath}}`\n  - Do: {{specificImplementationStepsAndConstraints}}\n  - Verify: {{testCommandOrRuntimeCheck}}\n  - Done when: {{measurableAcceptanceCondition}}\n- [ ] **T02: {{taskTitle}}** `est:{{estimate}}`\n  - Why: {{whyThisTaskExists}}\n  - Files: `{{filePath}}`, `{{filePath}}`\n  - Do: {{specificImplementationStepsAndConstraints}}\n  - Verify: {{testCommandOrRuntimeCheck}}\n  - Done when: {{measurableAcceptanceCondition}}\n<!--\n  Format rules (parsers depend on this exact structure):\n  - Checkbox line: - [ ] **T01: Title** `est:30m`\n  - Description:   indented text on the next line(s)\n  - Mark done:     change [ ] to [x]\n  - Tasks execute sequentially in order (T01, T02, T03, ...)\n  - est: is informational (e.g. 30m, 1h, 2h) and optional\n\n  Verify field rules:\n  - MUST be a mechanically executable command: `npm test`, `grep -q \"pattern\" file`, `test -f path`\n  - For content/document tasks: verify file existence, section count, YAML validity, or word count\n    NOT exact phrasing, specific formulas, or \"zero TBD\" aspirational criteria\n  - If no command can verify the output, write: \"Manual review — file exists and is non-empty\"\n  - BAD: \"Sections 3.1 and 3.2 exist with exact formulas. Zero TBD/TODO.\"\n  - GOOD: `grep -c \"^## \" doc.md` returns >= 4 (4+ sections), `! grep -q \"TBD\\|TODO\" doc.md`\n\n  Integration closure rule:\n  - At least one slice in any multi-boundary milestone should perform real composition/wiring, not just contract hardening\n  - For the final assembly slice, verification must exercise the real entrypoint or runtime path\n-->\n\n## Files Likely Touched\n\n- `{{filePath}}`\n- `{{filePath}}`\n"}],"isError":false,"timestamp":1775188745630}}
{"type":"message","id":"f9dc280e","parentId":"32814662","timestamp":"2026-04-03T03:59:05.633Z","message":{"role":"toolResult","toolCallId":"toolu_011VS257m7Z39QzNz5PSihYY","toolName":"read","content":[{"type":"text","text":"---\n# Optional scope estimate — helps the plan quality validator detect over-scoped tasks.\n# Tasks with 10+ estimated steps or 12+ estimated files trigger a warning to consider splitting.\nestimated_steps: {{estimatedSteps}}\nestimated_files: {{estimatedFiles}}\n# Installed skills the planner expects the executor to load before coding.\nskills_used:\n  - {{skillName}}\n---\n\n# {{taskId}}: {{taskTitle}}\n\n**Slice:** {{sliceId}} — {{sliceTitle}}\n**Milestone:** {{milestoneId}}\n\n## Description\n\n{{description}}\n\n## Failure Modes\n\n<!-- Q5: What breaks when dependencies fail? OMIT ENTIRELY for tasks with no external dependencies. -->\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| {{dependency}} | {{errorStrategy}} | {{timeoutStrategy}} | {{malformedStrategy}} |\n\n## Load Profile\n\n<!-- Q6: What breaks at 10x load? OMIT ENTIRELY for tasks with no shared resources or scaling concerns. -->\n\n- **Shared resources**: {{sharedResources — DB connections, caches, rate limiters, or none}}\n- **Per-operation cost**: {{perOpCost — N API calls, M DB queries, K bytes, or trivial}}\n- **10x breakpoint**: {{whatBreaksFirst — pool exhaustion, rate limit, memory, or N/A}}\n\n## Negative Tests\n\n<!-- Q7: What negative tests prove robustness? OMIT ENTIRELY for trivial tasks. -->\n\n- **Malformed inputs**: {{malformedInputTests — empty string, null, oversized, wrong type}}\n- **Error paths**: {{errorPathTests — network timeout, auth failure, 5xx, invalid JSON}}\n- **Boundary conditions**: {{boundaryTests — empty list, max length, zero, off-by-one}}\n\n## Steps\n\n1. {{step}}\n2. {{step}}\n3. {{step}}\n\n## Must-Haves\n\n- [ ] {{mustHave}}\n- [ ] {{mustHave}}\n\n## Verification\n\n- {{howToVerifyThisTaskIsActuallyDone}}\n- {{commandToRun_OR_behaviorToCheck}}\n\n## Observability Impact\n\n<!-- OMIT THIS SECTION ENTIRELY for simple tasks that don't touch runtime boundaries,\n     async flows, APIs, background processes, or error paths.\n     Include it only when the task meaningfully changes how failures are detected or diagnosed. -->\n\n- Signals added/changed: {{structured logs, statuses, errors, metrics}}\n- How a future agent inspects this: {{command, endpoint, file, UI state}}\n- Failure state exposed: {{what becomes visible on failure}}\n\n## Inputs\n\n<!-- Every input MUST be a backtick-wrapped file path. These paths are machine-parsed to\n     derive task dependencies — vague descriptions without paths break dependency detection.\n     For the first task in a slice with no prior task outputs, list the existing source files\n     this task reads or modifies. -->\n\n- `{{filePath}}` — {{whatThisTaskNeedsFromPriorWork}}\n\n## Expected Output\n\n<!-- Every output MUST be a backtick-wrapped file path — the specific files this task creates\n     or modifies. These paths are machine-parsed to derive task dependencies.\n     This task should produce a real increment toward making the slice goal/demo true. A full\n     slice plan should not be able to mark every task complete while the claimed slice behavior\n     still does not work at the stated proof level. -->\n\n- `{{filePath}}` — {{whatThisTaskCreatesOrModifies}}\n"}],"isError":false,"timestamp":1775188745632}}
{"type":"message","id":"5ae05326","parentId":"f9dc280e","timestamp":"2026-04-03T04:00:20.964Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"Now I have a clear picture. Let me plan this slice. The research doc recommends 3 tasks, but T03 (deploy + integration verify) is really just deployment on ub01 which the executor can't do from this machine. Let me reconsider.\n\nActually, looking at the CLAUDE.md, the canonical dev directory is on ub01. But the working directory is /home/aux/projects/content-to-kb-automator. The executor will write the code here, and deployment happens via SSH to ub01.\n\nLet me think about task decomposition:\n\nResearch suggests 3 tasks. \n\nI'm reconsidering whether to split this into 2 tasks or keep it as 1. The model, migration, schemas, search hook, and endpoint are tightly coupled—roughly 100 lines across 4 files plus a migration. While I could bundle everything together, splitting makes sense because the migration needs to run on ub01 before the endpoint code can function properly, and the model/migration forms a clean, self-contained unit.\n\nActually, since the executor has SSH access to ub01, I can structure this as: T01 handles all the code changes (model, migration, schemas, logging hook, and endpoint), then T02 pushes the code, rebuilds containers, runs the migration, and verifies everything end-to-end. I'm settling on a clean two-task split: T01 handles all the backend code—the SearchLog model, Alembic migration, schemas, logging hook, and popular endpoint—with a local syntax check to verify it works, then T02 covers the deployment to ub01, running the migration, and end-to-end testing with actual searches.","thinkingSignature":"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"},{"type":"text","text":"The research doc is well-grounded — all files exist as described, `async_session` is directly importable, `_now()` strips timezone, latest migration is `012`. This is a straightforward slice: ~150 lines of code across 5 files plus a migration.\n\nTwo tasks is right. T01 writes all the code (model, migration, schemas, logging hook, popular endpoint). T02 deploys to ub01, runs the migration, and verifies end-to-end. Splitting code from deployment gives T01 a clean verify (syntax/import check) and T02 a clean verify (real HTTP requests)."},{"type":"toolCall","id":"toolu_01G6Zugu87FskHTwZUgC8PbK","name":"gsd_plan_slice","arguments":{"goal":"Backend search query logging and popular searches API endpoint with Redis caching.","integrationClosure":"- Upstream: `backend/routers/search.py` (existing search endpoint), `backend/database.py` (async_session), `backend/redis_client.py` (get_redis)\n- New wiring: `SearchLog` model added to models.py, `asyncio.create_task()` call in search handler, new `/popular` route in search router\n- What remains: S04 builds the frontend display consuming this endpoint","milestoneId":"M015","observabilityImpact":"- Runtime signals: WARNING log on failed search log INSERT, INFO log on cache hit/miss for popular endpoint\n- Inspection surfaces: `search_log` table queryable directly, Redis key `chrysopedia:popular_searches` inspectable via redis-cli\n- Failure visibility: Failed logging emits warning with exc_info; popular endpoint falls through to DB query on cache miss","proofLevel":"Integration — requires real PostgreSQL, Redis, and HTTP requests on ub01 deployment.","sliceId":"S01","successCriteria":"- `search_log` table exists in PostgreSQL with rows from real searches\n- `GET /api/v1/search/popular` returns top-10 queries from last 7 days\n- Response is cached in Redis with 5-min TTL (key: `chrysopedia:popular_searches`)\n- Search logging is non-blocking (fire-and-forget asyncio task)\n- Empty query strings are not logged","tasks":[{"description":"Write all backend code for search query logging and the popular searches endpoint.\n\n## Steps\n\n1. Add `SearchLog` model to `backend/models.py`:\n   - Columns: `id` (Integer PK autoincrement), `query` (String, indexed), `scope` (String), `result_count` (Integer), `created_at` (DateTime, indexed, default=_now)\n   - Table name: `search_log`\n\n2. Create Alembic migration `alembic/versions/013_add_search_log.py`:\n   - Create `search_log` table with columns matching the model\n   - Add index on `created_at` and `query` columns\n   - Use the same pattern as existing migrations (see `012_multi_source_format.py` for style)\n\n3. Add Pydantic schemas to `backend/schemas.py`:\n   - `PopularSearchItem(BaseModel)`: `query: str`, `count: int`\n   - `PopularSearchesResponse(BaseModel)`: `items: list[PopularSearchItem]`, `cached: bool = False`\n\n4. Add non-blocking search logging to `backend/routers/search.py`:\n   - Import `asyncio`, `SearchLog` from models, `async_session` from database\n   - Add `_log_search(query, scope, result_count)` async helper that opens its own session, INSERTs a SearchLog row, commits, and catches all exceptions with `logger.warning`\n   - In the `search()` handler, after computing `result` but before returning, call `asyncio.create_task(_log_search(q, scope, result['total']))` — but only if `q.strip()` is non-empty\n\n5. Add `GET /popular` endpoint to `backend/routers/search.py`:\n   - Import `json` stdlib, `get_redis` from redis_client, `func`/`text` from sqlalchemy\n   - Check Redis key `chrysopedia:popular_searches` first\n   - On cache hit: parse JSON, return `PopularSearchesResponse(items=..., cached=True)`\n   - On cache miss: query `search_log` with `SELECT LOWER(query) as q, COUNT(*) as cnt FROM search_log WHERE created_at > now() - interval '7 days' GROUP BY LOWER(query) ORDER BY cnt DESC LIMIT 10`\n   - Use SQLAlchemy `func.lower()`, `func.count()`, and `func.now()` for the query\n   - Serialize result to JSON, SET in Redis with `ex=300` (5-min TTL per D025)\n   - Return `PopularSearchesResponse(items=..., cached=False)`\n   - Close Redis client after use\n\n## Must-Haves\n\n- [ ] SearchLog model with correct columns and indexes\n- [ ] Alembic migration creates search_log table\n- [ ] PopularSearchItem and PopularSearchesResponse schemas\n- [ ] Non-blocking _log_search with fire-and-forget pattern\n- [ ] Empty queries not logged\n- [ ] Popular endpoint with Redis read-through cache (300s TTL)\n- [ ] LOWER(query) normalization in popular query\n\n## Verification\n\n- `cd backend && python -c \"from models import SearchLog; print(SearchLog.__tablename__)\"` prints `search_log`\n- `cd backend && python -c \"from schemas import PopularSearchItem, PopularSearchesResponse; print('OK')\"` prints OK\n- `cd backend && python -c \"from routers.search import router; routes = [r.path for r in router.routes]; assert '/popular' in routes; print('OK')\"` prints OK\n\n## Failure Modes\n\n| Dependency | On error | On timeout | On malformed response |\n|------------|----------|-----------|----------------------|\n| PostgreSQL (log INSERT) | Catch all, log WARNING, don't fail request | Same — fire-and-forget task dies silently | N/A — we control the data |\n| Redis (cache read/write) | Fall through to DB query | Fall through to DB query | Return uncached DB results |\n| PostgreSQL (popular query) | Return 500 (standard FastAPI) | Return 500 | N/A |\n\n## Negative Tests\n\n- Empty query string: `_log_search` should not be called\n- Redis down: `/popular` should still return results from DB\n- No search_log rows: `/popular` should return `{items: [], cached: false}`","estimate":"25m","expectedOutput":["`backend/models.py` — SearchLog model added","`backend/schemas.py` — PopularSearchItem and PopularSearchesResponse added","`backend/routers/search.py` — _log_search helper, asyncio.create_task call, GET /popular endpoint added","`alembic/versions/013_add_search_log.py` — new migration creating search_log table"],"files":["backend/models.py","backend/schemas.py","backend/routers/search.py","alembic/versions/013_add_search_log.py","backend/redis_client.py"],"inputs":["`backend/models.py` — existing models and _now() helper","`backend/schemas.py` — existing Pydantic schemas","`backend/routers/search.py` — existing search endpoint to add logging hook and new route","`backend/database.py` — async_session factory for fire-and-forget INSERT","`backend/redis_client.py` — get_redis() for cache operations","`alembic/versions/012_multi_source_format.py` — reference for migration style"],"taskId":"T01","title":"Add SearchLog model, migration, schemas, logging hook, and popular endpoint","verify":"cd backend && python -c \"from models import SearchLog; from schemas import PopularSearchItem, PopularSearchesResponse; from routers.search import router; routes = [r.path for r in router.routes]; assert '/popular' in routes; print('ALL OK')\""},{"description":"Push code to ub01, rebuild containers, run the Alembic migration, and verify the full flow with real HTTP requests.\n\n## Steps\n\n1. Commit changes locally and push to origin (the repo is at `/vmPool/r/repos/xpltdco/chrysopedia` on ub01):\n   - `git add backend/models.py backend/schemas.py backend/routers/search.py alembic/versions/013_add_search_log.py`\n   - `git commit -m 'feat: search query logging + popular searches endpoint (M015/S01)'`\n   - `git push origin main`\n\n2. SSH to ub01 and deploy:\n   - `ssh ub01 'cd /vmPool/r/repos/xpltdco/chrysopedia && git pull && docker compose build chrysopedia-api chrysopedia-worker && docker compose up -d'`\n   - Wait for containers to be healthy\n\n3. Run Alembic migration:\n   - `ssh ub01 'docker exec chrysopedia-api alembic upgrade head'`\n   - Verify migration applied: `ssh ub01 \"docker exec chrysopedia-db psql -U chrysopedia -c '\\d search_log'\"`\n\n4. Restart web container (KNOWLEDGE: nginx stale DNS after rebuild):\n   - `ssh ub01 'docker compose restart chrysopedia-web-8096'`\n\n5. Verify search logging:\n   - `curl -s 'http://ub01:8096/api/v1/search?q=reverb&scope=all'` — should return search results\n   - `ssh ub01 \"docker exec chrysopedia-db psql -U chrysopedia -c \\\"SELECT * FROM search_log ORDER BY created_at DESC LIMIT 5;\\\"\"` — should show the logged query\n\n6. Verify popular endpoint:\n   - `curl -s 'http://ub01:8096/api/v1/search/popular' | python3 -m json.tool` — should return JSON with items array\n   - Run a few more searches with different terms, wait, then re-check popular (cache TTL is 5 min, so first call goes to DB)\n\n## Must-Haves\n\n- [ ] search_log table exists in PostgreSQL on ub01\n- [ ] Real search request creates a row in search_log\n- [ ] GET /api/v1/search/popular returns valid JSON with items array\n- [ ] Empty search query does NOT create a search_log row\n\n## Verification\n\n- `curl -sf 'http://ub01:8096/api/v1/search/popular' | python3 -c \"import sys,json; d=json.load(sys.stdin); assert 'items' in d; print('OK')\"` succeeds\n- `ssh ub01 \"docker exec chrysopedia-db psql -U chrysopedia -t -c 'SELECT count(*) FROM search_log;'\"` returns > 0 after a search","estimate":"15m","expectedOutput":["`alembic/versions/013_add_search_log.py` — migration applied on ub01 (no file change, operational state)"],"files":[],"inputs":["`backend/models.py` — SearchLog model from T01","`backend/schemas.py` — PopularSearchesResponse from T01","`backend/routers/search.py` — logging hook and /popular endpoint from T01","`alembic/versions/013_add_search_log.py` — migration from T01"],"taskId":"T02","title":"Deploy to ub01, run migration, and verify end-to-end","verify":"curl -sf 'http://ub01:8096/api/v1/search/popular' | python3 -c \"import sys,json; d=json.load(sys.stdin); assert 'items' in d; print('POPULAR OK')\" && ssh ub01 \"docker exec chrysopedia-db psql -U chrysopedia -t -c 'SELECT count(*) FROM search_log;'\" | grep -q '[1-9]' && echo 'LOGGING OK'"}]}}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":3912,"cacheRead":71245,"cacheWrite":2794,"totalTokens":77952,"cost":{"input":0.000005,"output":0.0978,"cacheRead":0.0356225,"cacheWrite":0.017462500000000002,"total":0.15089}},"stopReason":"toolUse","timestamp":1775188745632}}
{"type":"message","id":"be9dfd30","parentId":"5ae05326","timestamp":"2026-04-03T04:00:21.016Z","message":{"role":"toolResult","toolCallId":"toolu_01G6Zugu87FskHTwZUgC8PbK","toolName":"gsd_plan_slice","content":[{"type":"text","text":"Planned slice S01 (M015)"}],"details":{"operation":"plan_slice","milestoneId":"M015","sliceId":"S01","planPath":"/home/aux/projects/content-to-kb-automator/.gsd/milestones/M015/slices/S01/S01-PLAN.md","taskPlanPaths":["/home/aux/projects/content-to-kb-automator/.gsd/milestones/M015/slices/S01/tasks/T01-PLAN.md","/home/aux/projects/content-to-kb-automator/.gsd/milestones/M015/slices/S01/tasks/T02-PLAN.md"]},"isError":false,"timestamp":1775188821015}}
{"type":"message","id":"419303f4","parentId":"be9dfd30","timestamp":"2026-04-03T04:00:23.553Z","message":{"role":"assistant","content":[{"type":"text","text":"Slice S01 planned."}],"api":"anthropic-messages","provider":"anthropic","model":"claude-opus-4-6","usage":{"input":1,"output":10,"cacheRead":74039,"cacheWrite":3284,"totalTokens":77334,"cost":{"input":0.000005,"output":0.00025,"cacheRead":0.0370195,"cacheWrite":0.020525,"total":0.0577995}},"stopReason":"stop","timestamp":1775188821016}}
