Run prettier on backlog folder

backlog/tasks/ml-144 - Implement-magazine-issue-ingestion-pipeline.md

@@ -3,8 +3,8 @@ id: ML-144
 title: Implement magazine issue ingestion pipeline
 status: To Do
 assignee: []
-created_date: '2026-04-22 15:38'
-updated_date: '2026-05-04 08:19'
+created_date: "2026-04-22 15:38"
+updated_date: "2026-05-04 08:19"
 labels: []
 dependencies: []
 priority: medium
@@ -13,16 +13,20 @@ priority: medium
 ## Description
 
 <!-- SECTION:DESCRIPTION:BEGIN -->
+
 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) or [kreuzberg](https://hex.pm/packages/kreuzberg)
 - 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
+
 1. Upload PDF → store as Asset
 2. Enqueue `IngestIssue` worker (new `magazines` queue, concurrency 1)
 3. Extract text locally (pdftotext)
@@ -34,6 +38,7 @@ Build a pipeline to ingest music magazine issues (PDF), extract structured metad
 7. 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
@@ -41,6 +46,7 @@ Build a pipeline to ingest music magazine issues (PDF), extract structured metad
 - Upcoming releases: new schema or flag on notes with reminder job
 
 ## Integration Points
+
 - New context: `MusicLibrary.Magazines` with `Issue` and `Mention` schemas
 - New Oban queue: `magazines` (concurrency 1)
 - Workers: `IngestIssue`, `ExtractArticle`, `ResolveMentions`
@@ -49,7 +55,9 @@ Build a pipeline to ingest music magazine issues (PDF), extract structured metad
 <!-- SECTION:DESCRIPTION:END -->
 
 ## Acceptance Criteria
+
 <!-- AC:BEGIN -->
+
 - [ ] #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
@@ -59,7 +67,9 @@ Build a pipeline to ingest music magazine issues (PDF), extract structured metad
 <!-- AC:END -->
 
 ## Definition of Done
+
 <!-- DOD:BEGIN -->
+
 - [ ] #1 I can open a page in the application, drag and drop a magazine PDF, and start ingestion
 - [ ] #2 For each artist/album in the collection and Wishlist, I can see relevant informational articles coming from ingested magazines
 - [ ] #3 I can see a list of ALL ingested items, even those which don't have direct correlation with existing records and artists