2.7 KiB
2.7 KiB
id, title, status, assignee, created_date, labels, dependencies, priority
| id | title | status | assignee | created_date | labels | dependencies | priority | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ML-144 | Implement magazine issue ingestion pipeline | To Do | 2026-04-22 15:38 |
|
medium |
Description
Build a pipeline to ingest music magazine issues (PDF), extract structured metadata (artist mentions, album reviews, upcoming releases, features), and surface relevant information in the app.
Approach (Approved)
Approach 1 — Text-first, single LLM pass with structured output:
- Extract text locally with pdftotext (poppler, shell from Elixir)
- Feed chunks to OpenAI Responses API with JSON schema for structured output
- One Oban worker per issue, one API call per chunk
- Cost estimate: ~$0.01–0.10 per issue with gpt-4o-mini
Pipeline Overview
- Upload PDF → store as Asset
- Enqueue
IngestIssueworker (newmagazinesqueue, concurrency 1) - Extract text locally (pdftotext)
- Split by section boundaries (page breaks, headings)
- Per-chunk LLM call requesting structured payload:
mentions: [{type: "artist"|"album"|"track", name, artist_name?, release_date?, context_snippet}]topic: "review"|"news"|"upcoming"|"feature"
- Persist to new
Magazinescontext (Issue, Mention schemas) - Resolve each mention against existing records/artists by name (MusicBrainz lookup fallback for unknowns)
Personalization Layer
- Load collection's artist MBIDs once per issue
- Match mentions by name → MBID (exact match, then fuzzy / MusicBrainz search)
- For matched artists/albums: create Note linked via musicbrainz_id with article snippet
- For unmatched artists in recommendation contexts: queue as wishlist candidates
- Upcoming releases: new schema or flag on notes with reminder job
Integration Points
- New context:
MusicLibrary.MagazineswithIssueandMentionschemas - New Oban queue:
magazines(concurrency 1) - Workers:
IngestIssue,ExtractArticle,ResolveMentions - LiveView:
MagazineLive.Index/Showunder main authenticatedlive_session - Surface mentions on
CollectionLive.Show,ArtistLive.Show("mentioned in Prog #166, Dec 2025")
Acceptance Criteria
- #1 Pipeline can ingest a magazine PDF and extract text without OCR
- #2 Structured extraction (artist/album mentions, topics) is persisted to database
- #3 Mentions are resolved against existing collection with MusicBrainz fallback lookup
- #4 Notes are created for matched artists/albums with article context
- #5 Magazine mentions surface on record/artist detail pages
- #6 Cost per issue documented and under budget estimate