This commit is contained in:
@@ -1,238 +1,138 @@
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# AI Media Hub Handover
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## Working Rule
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- From this point on, every meaningful change should be appended to this file so the next handoff can reconstruct:
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- This file is both backlog and handover log.
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- Every meaningful change should record:
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- what changed
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- why it changed
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- how it was verified
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- what remains risky
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- Treat this file as both backlog and handover log, not just a static TODO list.
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- what is still risky or incomplete
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- If a push fails or a change remains local-only, that must be written here explicitly.
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## Current Session Update (2026-03-13)
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- Added a local self-test workflow before push/container build:
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- `scripts/selftest.sh`
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- `scripts/mock_searxng.py`
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- Fixed Korean query translation fallback behavior:
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- If `GEMINI_API_KEY` is missing or Gemini translation fails, the code now still attempts Google Translate fallback.
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- If Google Translate fallback fails, dictionary replacement fallback still runs.
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- Added Go tests for translation fallback logic.
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- Fixed frontend HLS preview wiring:
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- `hls.js` is now loaded in `frontend/index.html`
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- frontend now tries `hls.js` first, then native HLS playback if available
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- Corrected the practical local verification note:
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- `go build ./backend` from repo root conflicts with the existing `backend/` directory name
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- verified build command is now treated as `go build -o /tmp/... ./backend`
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## Current Session Update (2026-03-13, Search/Preview Follow-up)
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- Investigated a production search failure using downloaded frontend logs.
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- Identified the main timeout cause:
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- too many search results were being collected
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- too many Gemini Vision batches were being evaluated sequentially
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- backend debug messages were broadcasting oversized result payloads
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- Applied search pipeline optimization:
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- reduced per-source result caps
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- reduced query fan-out for Google Video
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- reduced enrichment cap
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- limited Gemini Vision evaluation to top-ranked candidates only
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- Improved Google Video filtering:
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- added bans for music/BGM/trailer-style noise results
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- Improved Envato enrichment fidelity:
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- source page metadata is now preferred over search-engine proxy thumbnails
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- source snippet/title are now taken from page metadata when available
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- preview mp4 extraction now works via HTML/JSON-LD parsing
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- added Python HTML fetch fallback for Cloudflare-challenged Envato pages because Go HTTP alone was receiving 403 challenge pages in testing
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- Improved Artgrid fidelity:
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- source page title/description/thumbnail are now preferred over search-engine snippets when available
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- preview extraction is still not considered solved for all Artgrid clips because public HTML tested here did not expose a stable mp4/m3u8 URL
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- Improved logging:
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- backend search debug events now emit summaries, timings, source counts, preview counts, and Gemini batch stats instead of giant raw arrays
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- frontend now logs raw non-JSON error bodies instead of collapsing them to `{}` on gateway/proxy failures
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- Improved result rendering:
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- search cards now show source snippet/description separately from AI reason to reduce confusion between asset metadata and Gemini commentary
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## Current Session Update (2026-03-13, Regression Fix)
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- A regression was found after search optimization:
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- Envato and Artgrid disappeared entirely for some real searches while Google Video still returned results
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- Root cause:
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- the first optimization reduced query-variant breadth too aggressively
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- the first 3 query variants were not enough to recover Envato/Artgrid in some real SearXNG result sets
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- Fix applied:
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- search now runs in two stages
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- stage 1 searches only the first few variants for speed
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- stage 2 searches additional variants only for sources that still returned zero results
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- Intent:
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- keep the anti-timeout optimization
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- recover Envato/Artgrid recall when the early pass is too narrow
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## Current Session Update (2026-03-13, HTML Snapshot Analysis)
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- Used saved HTML snapshots supplied by the user for:
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- Envato item page
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- Artgrid clip page
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- Findings:
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- Envato page exposes clean `VideoObject` JSON-LD with:
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- exact asset title
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- rich description
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- thumbnail URL
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- preview mp4 URL
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- Artgrid page exposes reliable meta fields for:
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- title
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- description
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- thumbnail
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- canonical URL
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- Artgrid snapshot still does **not** expose a stable preview mp4 or m3u8 in the saved HTML or downloaded asset bundle inspected here
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- Fixes applied from the snapshots:
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- Envato enrichment now prefers `VideoObject` JSON-LD over generic meta tags
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- Envato search cards should now align much better with the actual source asset and preview
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- Artgrid title/description are now cleaned so Gemini/source text is less polluted by site suffixes and generic boilerplate
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- Remaining limitation:
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- Artgrid hover-video preview cannot be derived reliably from the provided snapshot alone
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- if Artgrid preview video is still required, the next useful artifact is a browser HAR or DevTools network capture from an opened clip page
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## Current Session Update (2026-03-13, Collector Refactor)
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- Refactored the search pipeline into source-specific collectors:
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- `envatoCollector`
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- `artgridCollector`
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- `googleVideoCollector`
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- `SearchService` now acts mainly as:
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- collector orchestration
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- query-pass control
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- dedupe
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- cross-source enrichment scheduling
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- Goal of the refactor:
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- reduce cross-source coupling
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- make future source-specific fixes safer
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- make it easier to replace or disable one source without destabilizing the others
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- Current implementation note:
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- collectors are still in Go code under backend services, but the responsibilities are now separated by source instead of one monolithic search loop
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## Current Session Update (2026-03-13, Artgrid Collector Fix + Ranker Split)
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- Artgrid collector regression fixed:
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- real search results can come back as `artlist.io/stock-footage/clip/.../<id>` instead of only `artgrid.io/clip/<id>/...`
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- renderable filtering was rejecting those URLs, which caused `SearXNG returned no renderable results.` for Artgrid-only searches
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- Fix applied:
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- Artgrid renderability now accepts both `artgrid.io` and `artlist.io/stock-footage/clip/...` clip URLs
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- Artgrid result links are normalized into `https://artgrid.io/clip/<id>/<slug>` inside the collector flow before filtering/enrichment
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- Refactor continued:
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- ranking / Gemini candidate evaluation / recommendation merge logic moved out of `handlers/api.go`
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- new service layer file: `backend/services/ranker.go`
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- handler is now thinner and less coupled to search internals
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## Current Session Update (2026-03-13, 500 Fix)
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- A server-side `request failed (500)` regression was found after the ranker split.
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- Root cause:
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- Gemini candidate cap logic returned `12` even when only `9` ranked candidates existed
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- Gemini batch slicing then attempted to read beyond the available slice bounds
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- Fix applied:
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- `GeminiCandidateLimit` now never exceeds the real candidate count for totals up to 12
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- Gemini evaluation now stays within valid ranked slice bounds
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- Effect:
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- avoids backend 500 during the Gemini Vision evaluation stage for mid-sized result sets
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## Current Session Update (2026-03-13, Artgrid Query Coverage Fix)
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- Another Artgrid no-results regression was found even after the collector URL matcher was widened.
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- Root cause:
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- Artgrid collector query generation still leaned on `site:artgrid.io/clip/`
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- in practice, canonical clip pages can surface under `artlist.io/stock-footage/clip/...`
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- so some Artgrid-only searches still returned zero renderable results even though the accept filter had been fixed
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- Fix applied:
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- Artgrid query generation now searches both:
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- `site:artgrid.io/clip/`
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- `site:artlist.io/stock-footage/clip/`
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- Effect:
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- improves Artgrid recall in SearXNG result sets that favor canonical Artlist URLs over Artgrid URLs
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## Current Session Update (2026-03-16, Query / Preview Follow-up)
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- Search intent translation was updated to better preserve compound media phrases:
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- added explicit normalization for terms like `사이버 펑크` -> `cyberpunk`
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- added a guard that rejects over-compressed translations when the original query contains a richer multi-word intent
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- Artgrid page parsing was tightened:
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- generic Artgrid homepage / challenge HTML should no longer be mistaken for a real clip page during enrichment
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- this prevents homepage thumbnails/descriptions from overwriting real search result metadata
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- Hover preview playback was changed to lazy attach on hover:
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- preview source is now attached on mouseenter
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- playback waits for media readiness instead of trying to play immediately from the render path
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- source is detached again on mouseleave
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- Self-test script search step now retries to reduce flaky startup timing failures during local smoke tests
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## Local Self-Test Workflow
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- Primary command:
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- `bash scripts/selftest.sh`
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- What it currently verifies:
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- Go formatting for touched backend files
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- Python syntax for worker + mock SearXNG
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- `go test ./...`
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- backend binary build
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- local app boot with temp SQLite/download dirs
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- `/healthz`
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- `/api/search` using a local mock SearXNG server
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- `/api/upload`
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- Purpose:
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- allow safe local regression checks before push or container build without depending on real SearXNG, Gemini, or browser interaction
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## Project Summary
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## Current State At A Glance
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- Project: `ai-media-hub`
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- Goal: AI-assisted media discovery + ingest dashboard for Unraid
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- Backend: Go
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- Worker: Python + `yt-dlp` + `ffmpeg`
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- Frontend: HTML + Vanilla JS + Tailwind CDN
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- Database: SQLite
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- Current search backend: `SearXNG`
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- Current vision/ranking backend: `Gemini 2.5 Flash`
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- Search backend: `SearXNG`
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- AI translation / visual ranking: `Gemini 2.5 Flash`
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- Deployment target: single Docker container on Unraid
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- Git remote: `https://git.savethenurse.com/savethenurse/ai-media-hub.git`
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## Current Status Summary
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- Upload / direct download flow is implemented and broadly usable.
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- Search is implemented end-to-end and now refactored into source-specific collectors.
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- Search remains the main unstable subsystem.
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- Envato metadata and preview extraction are much stronger than before.
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- Artgrid metadata fidelity is improved, but stable public hover-video preview extraction is still not solved.
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- Frontend now logs more useful API and debug information than earlier versions.
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- A local self-test workflow now exists and should be run before container builds or pushes.
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## Current Architecture
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- `backend/main.go`
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App bootstrap, env loading, static frontend serving, route registration
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- app bootstrap
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- env loading
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- static frontend serving
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- route registration
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- `backend/handlers/api.go`
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Upload/download/search APIs, WebSocket progress broadcast, debug event broadcast
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- upload / download / search APIs
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- WebSocket progress broadcast
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- debug event broadcast
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- search request orchestration only, with ranking/Gemini logic mostly moved out
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- `backend/services/cse.go`
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Actual search backend service
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Despite filename, this is no longer Google CSE logic
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It now wraps SearXNG search, source filtering, result enrichment, preview asset parsing
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- SearXNG querying
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- shared search helpers
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- source-specific enrich helpers
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- URL filtering / parsing utilities
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- `backend/services/search_collectors.go`
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- source-specific collectors:
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- `envatoCollector`
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- `artgridCollector`
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- `googleVideoCollector`
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- `backend/services/ranker.go`
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- ranking
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- Gemini candidate cap logic
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- Gemini batch evaluation wrapper
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- recommendation merge logic
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- `backend/services/gemini.go`
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Query translation, deterministic query expansion helper, Gemini vision scoring
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Also extracts first video frame with `ffmpeg` when no thumbnail exists
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- query translation
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- deterministic query expansion
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- Gemini vision scoring
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- video frame extraction via `ffmpeg` when needed
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- `backend/models/db.go`
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SQLite init + download history
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- SQLite init
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- download history
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- `worker/downloader.py`
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`yt-dlp` probe/download + ffmpeg clip extraction
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- `yt-dlp` probe / download
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- `ffmpeg` clip extraction
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- `frontend/index.html`
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Main dashboard UI, preview modal, debug log panel
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- main dashboard UI
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- result viewer modal
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- preview modal
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- debug log panel
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- `frontend/app.js`
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API calls, WebSocket status bar, hover preview playback, debug logger panel, platform toggles
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- API calls
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- WebSocket status bar
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- result viewer modal
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- hover preview playback
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- direct download handoff for Google Video results
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- debug logger panel
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- platform toggles
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- `frontend/style.css`
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Custom styles, clamp helpers, slider thumb styles, debug panel scrollbar styles
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- custom styles
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- clamp helpers
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- slider thumb styles
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- debug panel scrollbar styles
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- `scripts/selftest.sh`
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- local smoke test flow
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- `scripts/mock_searxng.py`
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- local mock SearXNG used by self-test
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- `unraid-template.xml`
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Unraid template for current `git.savethenurse.com` image source
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- Unraid template for current image source
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## Search Flow: Current Implementation
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1. User enters a query in Zone A.
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2. Frontend sends `/api/search` with:
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- `query`
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- selected `platforms`
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3. Backend translates the query to English in `GeminiService.TranslateQuery`.
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Fallback order:
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- Gemini translation
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3. Backend translates the query in `GeminiService.TranslateQuery`.
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- Gemini translation if available
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- Google Translate HTTP fallback
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- small Korean media-term dictionary replacement
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- Korean media-term dictionary fallback
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||||
- explicit normalization for known compound phrases such as `사이버 펑크` -> `cyberpunk`
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4. Backend builds deterministic English search variants in `GeminiService.ExpandQuery`.
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5. Backend calls `SearchService.SearchMedia(...)`.
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6. Search service queries SearXNG for:
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- `Envato`
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- `Artgrid`
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- `Google Video`
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7. Search service filters source URLs aggressively:
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- Google Video: YouTube-only
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5. `SearchService.SearchMedia(...)` orchestrates source-specific collectors.
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6. Collectors query SearXNG separately for:
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- Envato
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- Artgrid
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- Google Video
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7. Each collector applies source-specific acceptance logic.
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- Google Video: YouTube-only plus noise filtering
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- Envato: `elements.envato.com` item URLs only
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- Artgrid: `artgrid.io/clip/...` only
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8. Search service enriches results:
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- Envato: parses item page HTML for `og:image` and preview video URL
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- Artgrid: attempts clip API + HTML parsing for thumbnails and preview sources
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9. Backend ranks all results locally.
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10. Backend evaluates all ranked results with Gemini vision in batches.
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11. Backend merges Gemini recommendations + fallback ranked items and returns JSON to frontend.
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12. Frontend renders cards and hover previews.
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- Artgrid: accepts both:
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- `artgrid.io/clip/...`
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- `artlist.io/stock-footage/clip/...`
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||||
8. Artgrid canonical links are normalized to:
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- `https://artgrid.io/clip/<id>/<slug>`
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||||
9. Results are enriched source-by-source.
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- Envato:
|
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- `VideoObject` JSON-LD preferred
|
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- page meta preferred over search-engine proxy thumbnail
|
||||
- preview mp4 extraction via JSON-LD / HTML parsing
|
||||
- Python HTML fetch fallback used when Go HTTP fetch gets Cloudflare challenge pages
|
||||
- Artgrid:
|
||||
- page title / description / thumbnail cleaning
|
||||
- homepage / challenge HTML is now rejected so generic site metadata does not overwrite clip metadata
|
||||
- preview video extraction still not stable
|
||||
10. Ranked results are passed through the shared ranker.
|
||||
11. All ranked candidates are evaluated with Gemini Vision in batches.
|
||||
12. Merge order now prefers:
|
||||
- Gemini recommended items
|
||||
- Gemini-reviewed non-recommended items
|
||||
- keyword fallback items only if Gemini output is incomplete
|
||||
13. Frontend renders cards, result viewer modal, and hover previews.
|
||||
|
||||
## Direct Downloader Flow: Current Implementation
|
||||
1. User enters URL in Zone C.
|
||||
@@ -248,6 +148,45 @@
|
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7. Worker downloads source with `yt-dlp`, clips with `ffmpeg`, emits JSON progress lines.
|
||||
8. Backend rebroadcasts progress over WebSocket.
|
||||
|
||||
## Major Work Completed So Far
|
||||
- Added local self-test workflow:
|
||||
- `scripts/selftest.sh`
|
||||
- `scripts/mock_searxng.py`
|
||||
- Fixed translation fallback when Gemini key is missing.
|
||||
- Added tests for translation fallback logic.
|
||||
- Added HLS frontend wiring:
|
||||
- `hls.js` script
|
||||
- native HLS fallback
|
||||
- Reduced search timeout risk by:
|
||||
- limiting collector result caps
|
||||
- limiting enrichment scope
|
||||
- limiting Gemini Vision evaluation scope
|
||||
- replacing oversized raw debug result payloads with summaries
|
||||
- Improved Google Video filtering:
|
||||
- rejects more music / trailer / BGM style noise
|
||||
- Improved Envato fidelity:
|
||||
- real title / description / thumbnail / preview from source page
|
||||
- Improved Artgrid fidelity:
|
||||
- accepts canonical Artlist URLs
|
||||
- normalizes Artgrid clip URLs
|
||||
- cleans title / description better
|
||||
- Refactored search into source-specific collectors.
|
||||
- Moved ranking and Gemini batch handling into `backend/services/ranker.go`.
|
||||
- Fixed server-side 500 caused by Gemini candidate cap exceeding available ranked candidates.
|
||||
- Improved frontend logging:
|
||||
- raw non-JSON error body logging
|
||||
- more compact debug payload rendering
|
||||
- Changed hover preview playback to lazy attach on hover:
|
||||
- attach source on `mouseenter`
|
||||
- wait for readiness before `play()`
|
||||
- detach source on `mouseleave`
|
||||
- Added in-app result viewer modal for search results:
|
||||
- results now open in a modal instead of directly opening a new tab
|
||||
- modal shows embedded site iframe, external open button, source summary, and full AI note
|
||||
- Google Video results can now jump directly into the existing direct-download preview / crop flow from the result viewer
|
||||
- Gemini reason generation is now intended to be Korean-first for readability
|
||||
- Gemini Vision evaluation now covers all ranked results instead of only a top subset
|
||||
|
||||
## Current Features Implemented
|
||||
- [x] Project folder structure
|
||||
- [x] Dockerfile
|
||||
@@ -262,22 +201,34 @@
|
||||
- [x] WebSocket realtime progress
|
||||
- [x] Search source toggles
|
||||
- [x] Search card hover preview support
|
||||
- [x] Result viewer modal for search results
|
||||
- [x] Google Video direct-download handoff from search results
|
||||
- [x] Debug log panel in frontend
|
||||
- [x] `.log` download from debug panel
|
||||
- [x] Local self-test workflow
|
||||
- [x] Source-specific search collectors
|
||||
- [x] Shared ranker service layer
|
||||
|
||||
## Important Current Constraints / Known Problems
|
||||
- Search backend has been rewritten multiple times and is still the main unstable area.
|
||||
- Envato previews are parsed mainly from page HTML metadata / structured data.
|
||||
- Artgrid previews are partially inferred from:
|
||||
- clip page HTML
|
||||
- clip API attempts
|
||||
- HLS preview handling in frontend
|
||||
- Search relevance is still not considered stable enough.
|
||||
- Gemini batch evaluation exists, but search quality can still degrade if upstream SearXNG results are noisy.
|
||||
- Frontend JavaScript was not linted with Node tooling in this environment because `node` is not installed here.
|
||||
- Full browser-level preview validation is still not covered by the local self-test script.
|
||||
- Search backend quality is still the most fragile subsystem.
|
||||
- Search relevance is still heuristic-heavy and not yet benchmarked against a durable real-query set.
|
||||
- Embedded result viewer uses an iframe, so some third-party sites may still block embedding with `X-Frame-Options` / CSP.
|
||||
- Artgrid hover-video preview is still partial / unresolved:
|
||||
- provided Artgrid HTML snapshots and downloaded asset bundles did not expose a stable public preview mp4/m3u8 URL
|
||||
- public HTML often only exposes title / description / thumbnail / canonical URL
|
||||
- Artgrid can still be sensitive to how SearXNG indexes canonical domains.
|
||||
- Full browser-level validation is still not covered by local self-test.
|
||||
- Frontend JavaScript still has no Node-based lint/build step in this environment.
|
||||
- Search cards now separate source snippet from AI reason, but metadata fidelity still depends on source enrichment quality.
|
||||
- Artgrid public pages inspected from this environment still did not expose a stable public preview video URL in HTML, so Artgrid hover-video support may remain partial until a browser-captured HTML/HAR sample reveals the real preview source pattern.
|
||||
- Gemini notes are now intended to be Korean, but final output quality still depends on Gemini response consistency.
|
||||
- The local self-test script is better than before, but it is still a smoke test, not full integration coverage.
|
||||
|
||||
## Current Risks Around Search Quality
|
||||
- Upstream SearXNG quality still controls the candidate pool.
|
||||
- Gemini Vision can only rerank the candidates it receives.
|
||||
- If source enrichment fails, Gemini may still judge a weaker proxy thumbnail or fallback image.
|
||||
- Compound Korean intents are better handled now, but the translation path is still heuristic and can drift on niche concepts.
|
||||
- Running Gemini Vision across all ranked results increases latency and token usage compared with the earlier capped approach.
|
||||
|
||||
## Frontend Debug Logger
|
||||
- UI button: bottom-right `Logs`
|
||||
@@ -291,8 +242,10 @@
|
||||
- ignored WS debug messages
|
||||
- status updates
|
||||
- platform toggle state
|
||||
- result viewer modal open / close
|
||||
- preview source attach / detach
|
||||
- hover start / hover end
|
||||
- hover play errors
|
||||
- modal preview open / close
|
||||
- browser errors
|
||||
- promise rejections
|
||||
@@ -310,57 +263,80 @@
|
||||
- `SEARXNG_WEB_ENGINE`
|
||||
- `GEMINI_API_KEY`
|
||||
|
||||
## Unraid Template Notes
|
||||
- Current image repository in template:
|
||||
`git.savethenurse.com/savethenurse/ai-media-hub:latest`
|
||||
- Current registry in template:
|
||||
`https://git.savethenurse.com`
|
||||
|
||||
## Docker / Build Notes
|
||||
- Dockerfile uses:
|
||||
- Go build stage
|
||||
- static ffmpeg image stage
|
||||
- Python runtime stage
|
||||
- Heavy apt ffmpeg install path was removed earlier to reduce build time.
|
||||
|
||||
## Git / Push Workflow Used So Far
|
||||
- Branch: `main`
|
||||
- Remote: `origin`
|
||||
- All requested changes were committed and pushed incrementally to:
|
||||
`https://git.savethenurse.com/savethenurse/ai-media-hub.git`
|
||||
|
||||
## Recent Relevant Commits
|
||||
- `8ed1e84` Add in-app debug log panel
|
||||
- `823bf12` Reflect selected platforms in search status
|
||||
- `cceb040` Update platform status and HLS previews
|
||||
- `ad8afd5` Tighten source filters and add platform toggles
|
||||
- `27000db` Hide overlays during hover preview
|
||||
- `b78865d` Rewrite search flow and enrich preview assets
|
||||
- `de24886` Filter non-English expansions and prefer stock sources
|
||||
- `0bd458d` Boost translated search fallback and source priority
|
||||
|
||||
## Next Priority Areas
|
||||
- [ ] Search backend quality stabilization
|
||||
The search service is the main unresolved area.
|
||||
- [ ] Envato / Artgrid preview extraction hardening
|
||||
- [ ] Search result relevance validation against real user queries
|
||||
- [ ] Better matching between rendered description and actual linked asset
|
||||
- [ ] Add browser-level verification for preview/HLS behavior
|
||||
- [ ] Add more automated coverage for search ranking / filtering logic
|
||||
- [ ] If Artgrid hover preview is still required, collect one real clip HTML/HAR from a browser session and derive a stable preview URL parser
|
||||
- [ ] Add proper frontend build/lint step if Node becomes available
|
||||
## Local Self-Test Workflow
|
||||
- Primary command:
|
||||
- `bash scripts/selftest.sh`
|
||||
- What it currently verifies:
|
||||
- Go formatting for touched backend files
|
||||
- Python syntax for worker + mock SearXNG
|
||||
- `go test ./...`
|
||||
- backend binary build
|
||||
- local app boot with temp SQLite/download dirs
|
||||
- `/healthz`
|
||||
- `/api/search` using local mock SearXNG
|
||||
- `/api/upload`
|
||||
- Notes:
|
||||
- search step now retries to reduce startup timing flakiness
|
||||
- this is a smoke test, not a browser-level verification suite
|
||||
|
||||
## Verified Locally In This Environment
|
||||
- [x] `go build -o /tmp/ai-media-hub ./backend`
|
||||
- [x] `go test ./...` (currently no broad test suite beyond the added fallback tests)
|
||||
- [x] `go test ./...`
|
||||
- [x] Python syntax check for worker + self-test helper
|
||||
- [x] local app boot / `/healthz` through `scripts/selftest.sh`
|
||||
- [x] local `/api/search` against mock SearXNG through `scripts/selftest.sh`
|
||||
- [x] local `/api/upload` through `scripts/selftest.sh`
|
||||
- [ ] full browser-level validation was not fully reproducible in this environment
|
||||
|
||||
## Unraid / Docker / CI Notes
|
||||
- Dockerfile uses:
|
||||
- Go build stage
|
||||
- static ffmpeg image stage
|
||||
- Python runtime stage
|
||||
- Heavy apt ffmpeg install path was removed earlier to reduce build time.
|
||||
- Gitea workflow builds and pushes:
|
||||
- `git.savethenurse.com/savethenurse/ai-media-hub:latest`
|
||||
- `git.savethenurse.com/savethenurse/ai-media-hub:${{ github.sha }}`
|
||||
|
||||
## Recent Relevant Commits
|
||||
- `9637b76` Improve query intent handling and preview playback
|
||||
- `6d9391b` Expand Artgrid query coverage to artlist canonical URLs
|
||||
- `d8cc32e` Fix Gemini candidate cap causing search 500s
|
||||
- `e426261` Fix Artgrid collector matching and split ranker
|
||||
- `5aebbef` Refactor search into source-specific collectors
|
||||
- `ae091c5` Improve source parsing from Envato and Artgrid HTML
|
||||
- `06ea4f3` Restore Envato and Artgrid fallback search breadth
|
||||
- `7dfb1ad` Stabilize search pipeline and improve preview diagnostics
|
||||
- `6f3149a` Add local self-test flow and fix fallback regressions
|
||||
- `f968458` Rewrite TODO as project handover
|
||||
|
||||
## Git / Push Status
|
||||
- Last pushed commit known in earlier work:
|
||||
- `6d9391b` was pushed successfully
|
||||
- Local-only work currently exists:
|
||||
- `9637b76 Improve query intent handling and preview playback`
|
||||
- Push status for `9637b76`:
|
||||
- not pushed
|
||||
- remote rejected the push with:
|
||||
- `remote unpack failed: unable to create temporary object directory`
|
||||
- `remote rejected main -> main (unpacker error)`
|
||||
- Interpretation:
|
||||
- current blocker appears to be on the remote git server side, not a local git history issue
|
||||
|
||||
## Highest-Value Next Steps
|
||||
- [ ] Re-try push of local commit once remote git storage/unpacker issue is resolved
|
||||
- [ ] Build collector-specific integration tests with recorded SearXNG samples
|
||||
- [ ] Separate source enrichment tests from live network behavior using local fixtures
|
||||
- [ ] Add a browser-level preview validation path, especially for hover video
|
||||
- [ ] If Artgrid hover preview is still required, obtain one real clip HAR / DevTools network export and derive a stable preview URL parser
|
||||
- [ ] Build a small fixed real-query benchmark set to evaluate search quality before further tuning
|
||||
- [ ] If frontend tooling becomes available, add lint/build checks
|
||||
|
||||
## Short Handover Summary
|
||||
- The codebase exists and runs.
|
||||
- The codebase runs.
|
||||
- Upload/download features mostly exist.
|
||||
- Search is implemented but is still the most fragile subsystem.
|
||||
- A visible debug logging panel now exists in the web UI and should be used first when continuing work.
|
||||
- Search has been significantly refactored and is in a better shape than before, but is still the main unstable area.
|
||||
- Envato source fidelity is much better than earlier.
|
||||
- Artgrid source fidelity is better, but preview-video extraction is still incomplete.
|
||||
- There is now a local self-test workflow.
|
||||
- There is one known local commit that has not been pushed because the remote repo reported an unpacker error.
|
||||
|
||||
@@ -320,7 +320,7 @@ func (a *App) searchMedia(c *gin.Context) {
|
||||
}
|
||||
scored := services.RankSearchResults(rankQuery, results)
|
||||
a.debug("search ranked summary", summarizeSearchResults(scored, time.Since(started), services.GeminiCandidateLimit(len(scored)), ""))
|
||||
a.Hub.Broadcast("progress", gin.H{"type": "search", "status": "analyzing top candidate visuals with Gemini Vision", "progress": 75})
|
||||
a.Hub.Broadcast("progress", gin.H{"type": "search", "status": "analyzing all candidate visuals with Gemini Vision", "progress": 75})
|
||||
recommended, geminiStats := services.EvaluateAllCandidatesWithGemini(a.GeminiService, req.Query, scored)
|
||||
a.debug("search gemini evaluation", geminiStats)
|
||||
err = nil
|
||||
@@ -337,8 +337,8 @@ func (a *App) searchMedia(c *gin.Context) {
|
||||
ThumbnailURL: result.ThumbnailURL,
|
||||
PreviewVideoURL: result.PreviewVideoURL,
|
||||
Source: result.Source,
|
||||
Reason: "Keyword-ranked result added without extra Gemini vision tokens.",
|
||||
Recommended: true,
|
||||
Reason: "Gemini Vision 응답이 부족해 키워드 기준으로 보강된 결과입니다.",
|
||||
Recommended: false,
|
||||
})
|
||||
}
|
||||
warning := err.Error()
|
||||
|
||||
@@ -154,7 +154,8 @@ func (g *GeminiService) Recommend(query string, candidates []SearchResult) ([]AI
|
||||
{
|
||||
"text": `Analyze the provided images for the user's search intent. Return JSON only in this shape:
|
||||
{"recommendations":[{"index":0,"reason":"short reason","recommended":true}]}
|
||||
Mark only the best matches as recommended=true. Keep reasons concise. Recommend up to 8 items.
|
||||
Return one entry for every analyzed candidate. Use Korean for every reason. Keep reasons concise but specific enough to explain usefulness.
|
||||
Mark the strongest matches as recommended=true and weaker matches as recommended=false.
|
||||
Prefer cinematic b-roll, stock footage, editorial footage, clean composition, usable establishing shots, and professional media thumbnails.
|
||||
Avoid clickbait faces, exaggerated expressions, meme aesthetics, low-information thumbnails, sensational text overlays, or gossip-style imagery.
|
||||
Favor thumbnails that look directly useful for media editing and footage sourcing.
|
||||
@@ -230,7 +231,7 @@ User query: ` + query,
|
||||
|
||||
recommendations := make([]AIRecommendation, 0, len(parsed.Recommendations))
|
||||
for _, rec := range parsed.Recommendations {
|
||||
if rec.Index < 0 || rec.Index >= len(candidates) || !rec.Recommended {
|
||||
if rec.Index < 0 || rec.Index >= len(candidates) {
|
||||
continue
|
||||
}
|
||||
src := candidates[rec.Index]
|
||||
@@ -241,13 +242,13 @@ User query: ` + query,
|
||||
ThumbnailURL: src.ThumbnailURL,
|
||||
PreviewVideoURL: src.PreviewVideoURL,
|
||||
Source: src.Source,
|
||||
Reason: rec.Reason,
|
||||
Recommended: true,
|
||||
Reason: normalizeKoreanReason(rec.Reason),
|
||||
Recommended: rec.Recommended,
|
||||
})
|
||||
}
|
||||
|
||||
if len(recommendations) == 0 {
|
||||
for _, candidate := range candidates[:min(4, len(candidates))] {
|
||||
for _, candidate := range candidates[:min(8, len(candidates))] {
|
||||
recommendations = append(recommendations, AIRecommendation{
|
||||
Title: candidate.Title,
|
||||
Link: candidate.Link,
|
||||
@@ -255,8 +256,8 @@ User query: ` + query,
|
||||
ThumbnailURL: candidate.ThumbnailURL,
|
||||
PreviewVideoURL: candidate.PreviewVideoURL,
|
||||
Source: candidate.Source,
|
||||
Reason: "Fallback result because Gemini returned no recommended items.",
|
||||
Recommended: true,
|
||||
Reason: "Gemini Vision 평가를 받지 못해 키워드 기준으로 보강된 결과입니다.",
|
||||
Recommended: false,
|
||||
})
|
||||
}
|
||||
}
|
||||
@@ -412,6 +413,14 @@ func truncateForError(text string, limit int) string {
|
||||
return trimmed[:limit] + "..."
|
||||
}
|
||||
|
||||
func normalizeKoreanReason(reason string) string {
|
||||
trimmed := strings.TrimSpace(reason)
|
||||
if trimmed == "" {
|
||||
return "시각 정보가 제한적이지만 검색 의도와의 관련성을 기준으로 평가했습니다."
|
||||
}
|
||||
return trimmed
|
||||
}
|
||||
|
||||
func buildSearchQueries(originalQuery, englishQuery string) []string {
|
||||
base := strings.TrimSpace(englishQuery)
|
||||
if base == "" {
|
||||
|
||||
+51
-18
@@ -3,6 +3,7 @@ package services
|
||||
import (
|
||||
"sort"
|
||||
"strings"
|
||||
"sync"
|
||||
)
|
||||
|
||||
type GeminiBatchStats struct {
|
||||
@@ -80,42 +81,63 @@ func RankSearchResults(query string, results []SearchResult) []SearchResult {
|
||||
}
|
||||
|
||||
func GeminiCandidateLimit(total int) int {
|
||||
switch {
|
||||
case total <= 12:
|
||||
return total
|
||||
case total <= 16:
|
||||
return 12
|
||||
default:
|
||||
return 16
|
||||
}
|
||||
return total
|
||||
}
|
||||
|
||||
func EvaluateAllCandidatesWithGemini(service *GeminiService, query string, ranked []SearchResult) ([]AIRecommendation, GeminiBatchStats) {
|
||||
const chunkSize = 8
|
||||
const maxConcurrentBatches = 2
|
||||
limit := GeminiCandidateLimit(len(ranked))
|
||||
stats := GeminiBatchStats{
|
||||
CandidateCap: limit,
|
||||
Requested: min(limit, len(ranked)),
|
||||
}
|
||||
merged := make([]AIRecommendation, 0, len(ranked))
|
||||
seen := map[string]bool{}
|
||||
type batchResult struct {
|
||||
index int
|
||||
recommendations []AIRecommendation
|
||||
err error
|
||||
}
|
||||
batches := make([][]SearchResult, 0, (limit+chunkSize-1)/chunkSize)
|
||||
for start := 0; start < limit; start += chunkSize {
|
||||
end := start + chunkSize
|
||||
if end > limit {
|
||||
end = limit
|
||||
}
|
||||
batch := ranked[start:end]
|
||||
stats.Batches++
|
||||
recommended, err := service.Recommend(query, batch)
|
||||
if err != nil {
|
||||
batches = append(batches, ranked[start:end])
|
||||
}
|
||||
stats.Batches = len(batches)
|
||||
|
||||
results := make([]batchResult, len(batches))
|
||||
var wg sync.WaitGroup
|
||||
sem := make(chan struct{}, maxConcurrentBatches)
|
||||
for idx, batch := range batches {
|
||||
wg.Add(1)
|
||||
go func(batchIndex int, candidates []SearchResult) {
|
||||
defer wg.Done()
|
||||
sem <- struct{}{}
|
||||
defer func() { <-sem }()
|
||||
recommended, err := service.Recommend(query, candidates)
|
||||
results[batchIndex] = batchResult{
|
||||
index: batchIndex,
|
||||
recommendations: recommended,
|
||||
err: err,
|
||||
}
|
||||
}(idx, batch)
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
merged := make([]AIRecommendation, 0, len(ranked))
|
||||
seen := map[string]bool{}
|
||||
for _, batch := range results {
|
||||
if batch.err != nil {
|
||||
stats.Failed++
|
||||
if len(stats.Errors) < 5 {
|
||||
stats.Errors = append(stats.Errors, err.Error())
|
||||
stats.Errors = append(stats.Errors, batch.err.Error())
|
||||
}
|
||||
continue
|
||||
}
|
||||
stats.Succeeded++
|
||||
for _, item := range recommended {
|
||||
for _, item := range batch.recommendations {
|
||||
if item.Link == "" || seen[item.Link] {
|
||||
continue
|
||||
}
|
||||
@@ -132,6 +154,9 @@ func MergeRecommendations(recommended []AIRecommendation, ranked []SearchResult,
|
||||
seen := map[string]bool{}
|
||||
|
||||
for _, item := range recommended {
|
||||
if !item.Recommended {
|
||||
continue
|
||||
}
|
||||
if item.Link == "" || seen[item.Link] {
|
||||
continue
|
||||
}
|
||||
@@ -139,6 +164,14 @@ func MergeRecommendations(recommended []AIRecommendation, ranked []SearchResult,
|
||||
merged = append(merged, item)
|
||||
}
|
||||
|
||||
for _, item := range recommended {
|
||||
if item.Recommended || item.Link == "" || seen[item.Link] || len(merged) >= limit {
|
||||
continue
|
||||
}
|
||||
seen[item.Link] = true
|
||||
merged = append(merged, item)
|
||||
}
|
||||
|
||||
for _, item := range ranked {
|
||||
if len(merged) >= limit || item.Link == "" || seen[item.Link] {
|
||||
continue
|
||||
@@ -151,8 +184,8 @@ func MergeRecommendations(recommended []AIRecommendation, ranked []SearchResult,
|
||||
ThumbnailURL: item.ThumbnailURL,
|
||||
PreviewVideoURL: item.PreviewVideoURL,
|
||||
Source: item.Source,
|
||||
Reason: "Keyword-ranked result added without extra Gemini vision tokens.",
|
||||
Recommended: true,
|
||||
Reason: "Gemini Vision 응답이 부족해 키워드 기준으로 보강된 결과입니다.",
|
||||
Recommended: false,
|
||||
})
|
||||
}
|
||||
return merged
|
||||
|
||||
+78
-21
@@ -37,12 +37,22 @@ const clearLogs = document.getElementById("clearLogs");
|
||||
const downloadLogs = document.getElementById("downloadLogs");
|
||||
const debugLogList = document.getElementById("debugLogList");
|
||||
const debugSummary = document.getElementById("debugSummary");
|
||||
const resultModal = document.getElementById("resultModal");
|
||||
const resultModalTitle = document.getElementById("resultModalTitle");
|
||||
const resultModalSource = document.getElementById("resultModalSource");
|
||||
const resultModalSnippet = document.getElementById("resultModalSnippet");
|
||||
const resultModalReason = document.getElementById("resultModalReason");
|
||||
const resultModalFrame = document.getElementById("resultModalFrame");
|
||||
const resultModalOpenExternal = document.getElementById("resultModalOpenExternal");
|
||||
const resultModalDownload = document.getElementById("resultModalDownload");
|
||||
const closeResultModal = document.getElementById("closeResultModal");
|
||||
|
||||
let pendingDownload = null;
|
||||
let cropStart = 0;
|
||||
let cropEnd = 0;
|
||||
let cropMax = 0;
|
||||
let activeThumb = null;
|
||||
let activeResultItem = null;
|
||||
const activePlatforms = new Set(["envato", "artgrid", "google video"]);
|
||||
const hlsInstances = new WeakMap();
|
||||
const debugEntries = [];
|
||||
@@ -319,13 +329,13 @@ function renderResults(results) {
|
||||
const image = node.querySelector("img");
|
||||
const previewVideo = node.querySelector(".preview-hover");
|
||||
const overlays = node.querySelectorAll(".preview-overlay");
|
||||
node.href = item.link;
|
||||
image.src = item.thumbnailUrl || "https://placehold.co/1280x720/0a0a0a/ffffff?text=Preview";
|
||||
image.alt = item.title;
|
||||
node.querySelector("h3").textContent = item.title;
|
||||
node.querySelector(".result-snippet").textContent = item.snippet || item.reason || item.source || "";
|
||||
node.querySelector(".result-reason").textContent = item.reason ? `AI note: ${item.reason}` : "";
|
||||
node.querySelector(".result-reason").textContent = item.reason ? `AI 노트: ${item.reason}` : "";
|
||||
node.querySelector(".source-badge").textContent = item.source;
|
||||
node.addEventListener("click", () => openResultModal(item));
|
||||
previewVideo.poster = item.thumbnailUrl || "";
|
||||
if (item.previewVideoUrl) {
|
||||
const mediaArea = node.querySelector(".relative");
|
||||
@@ -347,6 +357,53 @@ function renderResults(results) {
|
||||
}
|
||||
}
|
||||
|
||||
async function prepareDirectDownload(targetUrl) {
|
||||
downloadResult.textContent = "checking duplicate history...";
|
||||
const dup = await api(`/api/history/check?url=${encodeURIComponent(targetUrl)}`);
|
||||
let force = false;
|
||||
if (dup.exists) {
|
||||
force = window.confirm("동일 URL 다운로드 이력이 있습니다. 계속 진행할까요?");
|
||||
if (!force) {
|
||||
downloadResult.textContent = "cancelled";
|
||||
return;
|
||||
}
|
||||
}
|
||||
pendingDownload = { url: targetUrl, force };
|
||||
downloadResult.textContent = "loading preview...";
|
||||
const preview = await api("/api/download/preview", {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({ url: targetUrl }),
|
||||
});
|
||||
openPreviewModal(preview);
|
||||
downloadResult.textContent = "preview loaded";
|
||||
}
|
||||
|
||||
function openResultModal(item) {
|
||||
activeResultItem = item;
|
||||
resultModalTitle.textContent = item.title || "Untitled";
|
||||
resultModalSource.textContent = item.source || "";
|
||||
resultModalSnippet.textContent = item.snippet || "원본 페이지에서 사용할 수 있는 설명이 없습니다.";
|
||||
resultModalReason.textContent = item.reason || "AI 노트가 없습니다.";
|
||||
resultModalFrame.src = item.link || "about:blank";
|
||||
resultModalOpenExternal.href = item.link || "#";
|
||||
const canDirectDownload = item.source === "Google Video" && item.link;
|
||||
resultModalDownload.classList.toggle("hidden", !canDirectDownload);
|
||||
resultModal.classList.remove("hidden");
|
||||
resultModal.classList.add("flex");
|
||||
logEvent("result:modal:open", { title: item.title, source: item.source, link: item.link });
|
||||
}
|
||||
|
||||
function closeResultViewer() {
|
||||
if (!resultModal.classList.contains("hidden")) {
|
||||
logEvent("result:modal:close", { title: activeResultItem?.title || "" });
|
||||
}
|
||||
activeResultItem = null;
|
||||
resultModalFrame.src = "about:blank";
|
||||
resultModal.classList.add("hidden");
|
||||
resultModal.classList.remove("flex");
|
||||
}
|
||||
|
||||
searchForm.addEventListener("submit", async (event) => {
|
||||
event.preventDefault();
|
||||
setStatus("preparing search", 5);
|
||||
@@ -458,26 +515,8 @@ fileInput.addEventListener("change", async () => {
|
||||
|
||||
downloadForm.addEventListener("submit", async (event) => {
|
||||
event.preventDefault();
|
||||
downloadResult.textContent = "checking duplicate history...";
|
||||
try {
|
||||
const dup = await api(`/api/history/check?url=${encodeURIComponent(downloadUrl.value)}`);
|
||||
let force = false;
|
||||
if (dup.exists) {
|
||||
force = window.confirm("동일 URL 다운로드 이력이 있습니다. 계속 진행할까요?");
|
||||
if (!force) {
|
||||
downloadResult.textContent = "cancelled";
|
||||
return;
|
||||
}
|
||||
}
|
||||
pendingDownload = { url: downloadUrl.value, force };
|
||||
downloadResult.textContent = "loading preview...";
|
||||
const preview = await api("/api/download/preview", {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({ url: downloadUrl.value }),
|
||||
});
|
||||
openPreviewModal(preview);
|
||||
downloadResult.textContent = "preview loaded";
|
||||
await prepareDirectDownload(downloadUrl.value);
|
||||
} catch (error) {
|
||||
downloadResult.textContent = error.message;
|
||||
logEvent("download:preview:error", { message: error.message, data: error.data || null });
|
||||
@@ -509,6 +548,24 @@ confirmDownload.addEventListener("click", async () => {
|
||||
});
|
||||
|
||||
closePreviewModal.addEventListener("click", closeModal);
|
||||
closeResultModal.addEventListener("click", closeResultViewer);
|
||||
resultModal.addEventListener("click", (event) => {
|
||||
if (event.target === resultModal) {
|
||||
closeResultViewer();
|
||||
}
|
||||
});
|
||||
resultModalDownload.addEventListener("click", async () => {
|
||||
if (!activeResultItem?.link) {
|
||||
return;
|
||||
}
|
||||
try {
|
||||
closeResultViewer();
|
||||
await prepareDirectDownload(activeResultItem.link);
|
||||
} catch (error) {
|
||||
downloadResult.textContent = error.message;
|
||||
logEvent("download:preview:error", { message: error.message, data: error.data || null, source: activeResultItem?.source || "" });
|
||||
}
|
||||
});
|
||||
previewModal.addEventListener("click", (event) => {
|
||||
if (event.target === previewModal) {
|
||||
closeModal();
|
||||
|
||||
+37
-4
@@ -149,8 +149,41 @@
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div id="resultModal" class="fixed inset-0 z-50 hidden items-center justify-center bg-black/80 px-4">
|
||||
<div class="flex h-[88vh] w-full max-w-7xl flex-col overflow-hidden rounded-3xl border border-white/10 bg-zinc-950 shadow-2xl">
|
||||
<div class="flex items-center justify-between border-b border-white/10 px-5 py-4">
|
||||
<div class="min-w-0">
|
||||
<p id="resultModalSource" class="text-xs uppercase tracking-[0.25em] text-zinc-500"></p>
|
||||
<h3 id="resultModalTitle" class="mt-1 truncate text-xl font-semibold text-white"></h3>
|
||||
</div>
|
||||
<div class="flex items-center gap-2">
|
||||
<a id="resultModalOpenExternal" target="_blank" rel="noreferrer" class="rounded-full border border-white/10 px-3 py-2 text-xs uppercase tracking-[0.2em] text-zinc-300">Open</a>
|
||||
<button id="resultModalDownload" type="button" class="hidden rounded-full border border-white/10 px-3 py-2 text-xs uppercase tracking-[0.2em] text-zinc-300">Direct Download</button>
|
||||
<button id="closeResultModal" type="button" class="rounded-full border border-white/10 px-3 py-2 text-xs uppercase tracking-[0.2em] text-zinc-300">Close</button>
|
||||
</div>
|
||||
</div>
|
||||
<div class="grid min-h-0 flex-1 gap-0 lg:grid-cols-[1.5fr_0.85fr]">
|
||||
<div class="min-h-0 border-b border-white/10 lg:border-b-0 lg:border-r">
|
||||
<iframe id="resultModalFrame" class="h-full w-full bg-white" referrerpolicy="no-referrer"></iframe>
|
||||
</div>
|
||||
<div class="min-h-0 overflow-auto px-5 py-5">
|
||||
<div class="space-y-5">
|
||||
<div>
|
||||
<p class="text-xs uppercase tracking-[0.25em] text-zinc-500">Source Summary</p>
|
||||
<p id="resultModalSnippet" class="mt-2 text-sm leading-7 text-zinc-300"></p>
|
||||
</div>
|
||||
<div>
|
||||
<p class="text-xs uppercase tracking-[0.25em] text-zinc-500">AI Note</p>
|
||||
<p id="resultModalReason" class="mt-2 whitespace-pre-wrap text-sm leading-7 text-zinc-200"></p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<template id="searchCardTemplate">
|
||||
<a target="_blank" rel="noreferrer" class="group overflow-hidden rounded-3xl border border-white/10 bg-black/30 transition hover:border-white/30">
|
||||
<button type="button" class="group overflow-hidden rounded-3xl border border-white/10 bg-black/30 text-left transition hover:border-white/30">
|
||||
<div class="relative aspect-video overflow-hidden bg-zinc-900">
|
||||
<img class="h-full w-full object-cover transition duration-500 group-hover:scale-105" alt="" />
|
||||
<video class="preview-hover absolute inset-0 hidden h-full w-full object-cover" muted loop playsinline preload="none"></video>
|
||||
@@ -160,11 +193,11 @@
|
||||
<div class="space-y-2 p-5">
|
||||
<h3 class="line-clamp-2 text-base font-medium text-white"></h3>
|
||||
<p class="result-snippet line-clamp-3 text-sm text-zinc-400"></p>
|
||||
<p class="result-reason line-clamp-2 text-xs uppercase tracking-[0.12em] text-zinc-500"></p>
|
||||
<p class="result-reason line-clamp-2 text-xs tracking-[0.02em] text-zinc-500"></p>
|
||||
</div>
|
||||
</a>
|
||||
</button>
|
||||
</template>
|
||||
|
||||
<script src="/app.js?v=20260313i" defer></script>
|
||||
<script src="/app.js?v=20260316a" defer></script>
|
||||
</body>
|
||||
</html>
|
||||
|
||||
Reference in New Issue
Block a user