Petr Polezhaev
b94f222c96
- log_thread.py: thread-safe ContextVar bridge so executor threads can log
individual LLM calls and archive searches back to the event loop
- ai_log.py: init_thread_logging(), notify_entity_update(); WS now pushes
entity_update messages when book data changes after any plugin or batch run
- batch.py: replace batch_pending.json with batch_queue SQLite table;
run_batch_consumer() reads queue dynamically so new books can be added
while batch is running; add_to_queue() deduplicates
- migrate.py: fix _migrate_v1 (clear-on-startup bug); add _migrate_v2 for
batch_queue table
- _client.py / archive.py / identification.py: wrap each LLM API call and
archive search with log_thread start/finish entries
- api.py: POST /api/batch returns {already_running, added}; notify_entity_update
after identify pipeline
- models.default.yaml: strengthen ai_identify confidence-scoring instructions;
warn against placeholder data
- detail-render.js: book log entries show clickable ID + spine thumbnail;
book spine/title images open full-screen popup
- events.js: batch-start handles already_running+added; open-img-popup action
- init.js: entity_update WS handler; image popup close listeners
- overlays.css / index.html: full-screen image popup overlay
- eslint.config.js: add new globals; fix no-redeclare/no-unused-vars for
multi-file global architecture; all lint errors resolved
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
91 lines
2.5 KiB
YAML
91 lines
2.5 KiB
YAML
# Function configurations — dict per category (not lists).
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# AI functions reference a model from models.*.yaml.
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# Archive functions specify a type and optional config dict.
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# Keys within each category serve as plugin_id; must be unique across all categories.
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# Override individual functions in functions.user.yaml.
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functions:
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# ── Boundary detection: image → {boundaries: [...], confidence: 0.x}
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# ai_shelf_boundaries / ai_book_boundaries stored as {functionId: [fractions]} per entity.
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boundary_detectors:
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shelves: # key = plugin_id = target; runs on cabinet images
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model: vl_detect_shelves
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max_image_px: 1600
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auto_queue: false
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rate_limit_seconds: 0
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timeout: 30
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books: # key = plugin_id = target; runs on shelf images
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model: vl_detect_books
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max_image_px: 1600
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auto_queue: false
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rate_limit_seconds: 0
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timeout: 30
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# ── Text recognition: spine image → {raw_text, title, author, year, publisher, other}
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text_recognizers:
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recognize:
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model: vl_recognize
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max_image_px: 1600
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auto_queue: true
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rate_limit_seconds: 0
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timeout: 30
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# ── Book identification: VLM result + archive results → ranked identification blocks
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# is_vlm: true means the model also receives the book's spine and title-page images.
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book_identifiers:
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identify:
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model: ai_identify
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confidence_threshold: 0.8
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auto_queue: false
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rate_limit_seconds: 0
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timeout: 60
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is_vlm: true
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# ── Archive searchers: query → [{source, title, author, year, isbn, publisher}, ...]
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archive_searchers:
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openlibrary:
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name: "OpenLibrary"
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type: openlibrary
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auto_queue: true
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rate_limit_seconds: 5
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timeout: 8
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rsl:
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name: "РГБ"
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type: rsl
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auto_queue: true
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rate_limit_seconds: 5
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timeout: 8
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rusneb:
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name: "НЭБ"
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type: rusneb
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auto_queue: true
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rate_limit_seconds: 5
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timeout: 8
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alib_web:
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name: "Alib (web)"
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type: alib_web
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auto_queue: false
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rate_limit_seconds: 5
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timeout: 8
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nlr:
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name: "НЛР"
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type: sru_catalog
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auto_queue: false
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rate_limit_seconds: 5
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timeout: 8
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config:
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url: "http://www.nlr.ru/search/query"
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query_prefix: "title="
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shpl:
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# Endpoint currently returns HTTP 404; retained for future re-enablement.
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name: "ШПИЛ"
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type: shpl
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auto_queue: false
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rate_limit_seconds: 5
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timeout: 8
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