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reader-api (FastAPI + UV)

Shared backend API for both:

  • Web app: reader
  • Mobile app: reader-app

This project is Python-first (FastAPI), with production-focused Docker setup and healthcheck.

Stack

  • Python 3.11+
  • FastAPI
  • UV (package manager / runner)
  • PostgreSQL (structured data)

API Base URL

Environment

Create .env from .env.example.

Required keys:

DATABASE_URL=postgresql://reader:reader@localhost:5432/reader
NEXTAUTH_SECRET=replace-with-strong-secret
MOBILE_JWT_SECRET=replace-with-strong-secret
# Comma-separated allowed Google OAuth client IDs
GOOGLE_CLIENT_ID=web-client-id.apps.googleusercontent.com,android-client-id.apps.googleusercontent.com
CORS_ORIGINS=http://localhost:3000,http://127.0.0.1:3000
APP_ENV=development

Dev Setup (UV)

  1. Install UV
curl -LsSf https://astral.sh/uv/install.sh | sh
  1. Sync dependencies
uv sync
  1. Run API in dev mode
uv run uvicorn app.main:app --reload --host 0.0.0.0 --port 8000
  1. Verify health
curl http://localhost:8000/api/health

Docker Compose

Current docker-compose.yml supports a unified deployment for both web + API.

Web + API (use external DBs)

docker compose up -d --build api web

Required env for web OAuth in .env:

WEB_GOOGLE_CLIENT_ID=web-client-id.apps.googleusercontent.com
WEB_GOOGLE_CLIENT_SECRET=replace-with-web-google-client-secret

Full local stack (API local + Postgres)

docker compose --profile localdb up -d --build api-local postgres

Notes:

  • api listens on port 8000 and is intended for external DB deployments.
  • api-local listens on port 8001 and automatically points to postgres container.
  • web listens on port 3000 and calls API internally through http://api:8000.

NAS mount points (chapter content + EPUB source)

API containers now reserve two mount folders:

  • /data/content: converted chapter files (txt + raw_html)
  • /data/epub-source: source EPUB library

Default env mapping (already wired in compose):

NAS_CONTENT_ROOT=/data/content
EPUB_SOURCE_ROOT=/data/epub-source

If you want to bind to host folders for local testing:

services:
  api:
    volumes:
      - /absolute/local/path/content:/data/content
      - /absolute/local/path/epub-source:/data/epub-source

If you want to use NFS-backed docker volumes, define them under volumes:. Example:

volumes:
  nas_chapter_content:
    driver: local
    driver_opts:
      type: nfs
      o: addr=100.93.79.10,nolock,soft,rw
      device: ":/volume2/apps/reader-content"

  nas_epub_source:
    driver: local
    driver_opts:
      type: nfs
      o: addr=100.93.79.10,nolock,soft,rw
      device: ":/volume2/apps/reader-epub"

For your EPUB structure (folder per novel, multiple .epub parts inside), mount the parent folder to /data/epub-source.

Implemented Endpoints

  • GET /api/health
  • POST /api/auth/mobile-login
  • GET /api/user/profile
  • GET/POST /api/user/bookmarks
  • DELETE /api/user/bookmarks/{novelId}
  • POST /api/user/reading-progress
  • GET/POST /api/user/settings
  • GET/POST/DELETE /api/user/recommendations
  • GET /api/genres
  • GET /api/novels/browse
  • GET /api/novels/{idOrSlug}
  • GET /api/truyen/{id}/chapters
  • GET/POST /api/truyen/{id}/comments
  • POST /api/truyen/{id}/rate
  • GET /api/truyen/suggest
  • GET /api/chapters/{chapterId}
  • GET /api/import/assets/search
  • GET /api/import/assets/{assetId}/preview-metadata
  • POST /api/import/assets/{assetId}/ai-suggest
  • POST /api/import/assets/{assetId}/review
  • POST /api/import/assets/{assetId}/parse-preview
  • POST /api/import/assets/{assetId}/start-import
  • GET /api/import/sessions/{sessionId}

Simple EPUB Import Flow (Review-first)

MOD/ADMIN flow on new import wizard:

  1. Search source EPUB by name (DB index): GET /api/import/assets/search
  2. Review/edit metadata: GET /api/import/assets/{id}/preview-metadata + POST /api/import/assets/{id}/review
  3. Preview chapter split (TOC or regex-start): POST /api/import/assets/{id}/parse-preview
  4. Start import and poll progress:
    • POST /api/import/assets/{id}/start-import
    • GET /api/import/sessions/{sessionId}

AI assist in step 2:

  • POST /api/import/assets/{id}/ai-suggest
  • Returns up to 6 genres + 1 short description.
  • New genres are allowed and created immediately on apply.

NAS Migration Ops

1) Apply SQL migration manually

Run SQL in migrations/2026_04_nas_content_storage.sql against PostgreSQL.

2) Backfill existing chapter content to NAS + ChapterContentRef

Dry-run first:

python scripts/backfill_chapter_content_refs.py --limit 1000 --dry-run

Then execute:

python scripts/backfill_chapter_content_refs.py --limit 1000

You can run multiple batches by increasing/changing --limit.

Checkpoint/resume mode:

python scripts/backfill_chapter_content_refs.py --limit 1000 --state-file .backfill_state.json

Or continue from a known ObjectId:

python scripts/backfill_chapter_content_refs.py --limit 1000 --after-id 680f7f3a2f0d53f4f2b7a123

Chapter Read Cutover Flag

Set in .env:

CHAPTER_CONTENT_MODE=nas_first

Values:

  • nas_first (default): read NAS ref first.

Notes

  • Web session auth is supported via NextAuth session cookies (next-auth.session-token and secure variants).
  • Mobile auth is supported via Bearer JWT from /api/auth/mobile-login.
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Description
Shared backend API for reader web and reader-app mobile clients
Readme 1 MiB
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JavaScript 0.8%
Dockerfile 0.2%