77 lines
3.1 KiB
Markdown
77 lines
3.1 KiB
Markdown
---
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id: ML-144
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title: Implement magazine issue ingestion pipeline
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status: To Do
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assignee: []
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created_date: "2026-04-22 15:38"
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updated_date: "2026-05-04 08:19"
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labels: []
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dependencies: []
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priority: medium
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---
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## Description
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<!-- SECTION:DESCRIPTION:BEGIN -->
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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.
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## Approach (Approved)
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**Approach 1 — Text-first, single LLM pass with structured output:**
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- Extract text locally with pdftotext (poppler, shell from Elixir) or [kreuzberg](https://hex.pm/packages/kreuzberg)
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- Feed chunks to OpenAI Responses API with JSON schema for structured output
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- One Oban worker per issue, one API call per chunk
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- Cost estimate: ~$0.01–0.10 per issue with gpt-4o-mini
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## Pipeline Overview
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1. Upload PDF → store as Asset
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2. Enqueue `IngestIssue` worker (new `magazines` queue, concurrency 1)
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3. Extract text locally (pdftotext)
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4. Split by section boundaries (page breaks, headings)
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5. Per-chunk LLM call requesting structured payload:
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- `mentions`: `[{type: "artist"|"album"|"track", name, artist_name?, release_date?, context_snippet}]`
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- `topic`: `"review"|"news"|"upcoming"|"feature"`
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6. Persist to new `Magazines` context (Issue, Mention schemas)
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7. Resolve each mention against existing records/artists by name (MusicBrainz lookup fallback for unknowns)
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## Personalization Layer
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- Load collection's artist MBIDs once per issue
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- Match mentions by name → MBID (exact match, then fuzzy / MusicBrainz search)
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- For matched artists/albums: create Note linked via musicbrainz_id with article snippet
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- For unmatched artists in recommendation contexts: queue as wishlist candidates
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- Upcoming releases: new schema or flag on notes with reminder job
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## Integration Points
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- New context: `MusicLibrary.Magazines` with `Issue` and `Mention` schemas
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- New Oban queue: `magazines` (concurrency 1)
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- Workers: `IngestIssue`, `ExtractArticle`, `ResolveMentions`
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- LiveView: `MagazineLive.Index/Show` under main authenticated `live_session`
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- Surface mentions on `CollectionLive.Show`, `ArtistLive.Show` ("mentioned in Prog #166, Dec 2025")
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<!-- SECTION:DESCRIPTION:END -->
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## Acceptance Criteria
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<!-- AC:BEGIN -->
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- [ ] #1 Pipeline can ingest a magazine PDF and extract text without OCR
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- [ ] #2 Structured extraction (artist/album mentions, topics) is persisted to database
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- [ ] #3 Mentions are resolved against existing collection with MusicBrainz fallback lookup
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- [ ] #4 Notes are created for matched artists/albums with article context
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- [ ] #5 Magazine mentions surface on record/artist detail pages
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- [ ] #6 Cost per issue documented and under budget estimate
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<!-- AC:END -->
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## Definition of Done
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<!-- DOD:BEGIN -->
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- [ ] #1 I can open a page in the application, drag and drop a magazine PDF, and start ingestion
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- [ ] #2 For each artist/album in the collection and Wishlist, I can see relevant informational articles coming from ingested magazines
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- [ ] #3 I can see a list of ALL ingested items, even those which don't have direct correlation with existing records and artists
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<!-- DOD:END -->
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