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pdf-quiz-generator/backend/app/main.py
Daniel 5d59e00144 refactor: remove per-question sharing 
`Question.is_shared` defaulted to 1 and was only ever set by a route nothing
called, so in practice it divided the bank into "everything" and "everything,
plus your own private ones" — a distinction that cost every recommendation
denominator a join and never changed an answer. Who may reach the bank is the
site's own access rules; who may manage a question is the category grant tree.

So the two predicates the whole bank was built on are now the same thing, and
say what they actually mean: a question is out of reach if it has been deleted
or belongs to a course. Nothing else. The column is dropped, the route that set
it is gone, the bulk "share" action with it, and the Private tile and pill go
from the question manager.

The tests that turned on it have been rewritten rather than deleted, because
the rule they were really about survives: revoking a question still revokes
every session carrying it — by deleting it, which is the only revocation left.
Several others named a category holding exactly two reachable questions and
then answered two particular ids; that category holds four now, so they name
the pair instead. A session's own sharing flag is untouched — that is a
different thing, and it is still how a session is handed to somebody.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TqXevQJhxFrM7jJg82cgZN
2026-09-12 08:42:51 +02:00

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import os
from contextlib import asynccontextmanager
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from app.config import settings
from app.logging_config import setup_logging
# Configure structured JSON logging before anything else
setup_logging(settings.LOG_LEVEL)
from app.database import engine, Base, SessionLocal
from app.routers import auth, documents, quizzes, attempts, admin, tts, nextcloud, categories, questions, question_categories, favorites, teach, contact, tags, flashcards, courses, mobile, mynote, exams
from app.routers import access
from app.routers import feedback
from app.routers import study_tools, uploads, articles, share, collections, study_plans, media, search, ai_mode, drafts, public
from app.utils.auth import get_password_hash
def seed_admin():
"""Optionally create a configured bootstrap admin user if none exists."""
import logging
from datetime import datetime
from app.models.user import User
from app.models.email_verification import EmailVerification
log = logging.getLogger(__name__)
db = SessionLocal()
try:
admin_exists = db.query(User).filter(User.role == "admin").first()
if not admin_exists:
if not settings.DEFAULT_ADMIN_EMAIL or not settings.DEFAULT_ADMIN_PASSWORD:
log.info("No admin exists; skipping bootstrap admin seed. First registered user will become admin.")
return
if len(settings.DEFAULT_ADMIN_PASSWORD) < 8:
log.warning("DEFAULT_ADMIN_PASSWORD is too short; skipping bootstrap admin seed.")
return
admin_user = User(
email=settings.DEFAULT_ADMIN_EMAIL.lower().strip(),
hashed_password=get_password_hash(settings.DEFAULT_ADMIN_PASSWORD),
name="Admin",
role="admin",
)
db.add(admin_user)
db.flush()
# Auto-verify seeded admin
db.add(EmailVerification(
user_id=admin_user.id,
token="seeded",
expires_at=datetime.utcnow(),
verified_at=datetime.utcnow(),
))
db.commit()
else:
# Ensure existing admin has a verified email record
existing_v = db.query(EmailVerification).filter(EmailVerification.user_id == admin_exists.id).first()
if not existing_v:
db.add(EmailVerification(
user_id=admin_exists.id,
token=f"legacy_{admin_exists.id}",
expires_at=datetime.utcnow(),
verified_at=datetime.utcnow(),
))
db.commit()
finally:
db.close()
def seed_default_models():
"""Seed default AI model configs if none exist."""
from sqlalchemy import text
from app.models.ai_model_config import AIModelConfig
db = SessionLocal()
try:
if db.query(AIModelConfig).count() == 0:
defaults = [
AIModelConfig(name="Claude Haiku 4.5", model_id="claude-haiku-4.5", task="extraction", is_active=True, is_default=True),
AIModelConfig(name="Claude Sonnet 4.6", model_id="claude-sonnet-4.6", task="extraction", is_active=True, is_default=False),
AIModelConfig(name="Gemini 2.5 Flash", model_id="gemini-2.5-flash", task="extraction", is_active=True, is_default=False),
]
db.add_all(defaults)
db.commit()
# Clean up legacy titan-embed-v2 "general" entry (was mistakenly seeded)
titan = db.query(AIModelConfig).filter(
AIModelConfig.model_id == "titan-embed-v2",
AIModelConfig.task == "general",
).first()
if titan:
db.delete(titan)
db.commit()
# Always ensure LiteLLM-routed local speech models exist (idempotent).
tts_voices = [
("Kokoro Adam", "local-kokoro-tts:am_adam", True),
("Kokoro Michael", "local-kokoro-tts:am_michael", False),
("Kokoro Bella", "local-kokoro-tts:af_bella", False),
("Kokoro Nicole", "local-kokoro-tts:af_nicole", False),
("Kokoro Emma", "local-kokoro-tts:bf_emma", False),
("Kokoro Lewis", "local-kokoro-tts:bm_lewis", False),
]
stt_models = [
("Parakeet STT (LiteLLM)", "local-parakeet-v3", True),
("Groq Whisper Turbo", "groq-whisper-large-v3-turbo", False),
("Groq Whisper Large v3", "groq-whisper-large-v3", False),
]
# Deactivate external/direct legacy TTS entries; speech should route through LiteLLM.
for old in db.query(AIModelConfig).filter(AIModelConfig.task == "tts").all():
if old.model_id and not old.model_id.startswith("local-"):
old.is_active = False
old.is_default = False
if old.model_id == "local-kokoro-tts":
old.is_active = False
old.is_default = False
if old.model_id == "local-chatterbox-turbo":
old.is_active = False
old.is_default = False
if old.model_id == "local-qwen3-tts":
old.is_active = False
old.is_default = False
for name, model_id, _ in tts_voices:
db.execute(text("""
INSERT INTO ai_model_configs (name, model_id, task, is_active, is_default, created_at)
VALUES (:name, :model_id, 'tts', true, false, NOW())
ON CONFLICT (model_id, task) DO NOTHING
"""), {"name": name, "model_id": model_id})
# LiteLLM Kokoro is the intended default for read-aloud; admins can change it later.
db.query(AIModelConfig).filter(AIModelConfig.task == "tts").update({"is_default": False})
local_default = db.query(AIModelConfig).filter(
AIModelConfig.task == "tts",
AIModelConfig.model_id == "local-kokoro-tts:am_adam",
).first()
if local_default:
local_default.is_active = True
local_default.is_default = True
for task, rows in (("stt", stt_models),):
has_default = db.query(AIModelConfig).filter(
AIModelConfig.task == task,
AIModelConfig.is_default == True,
AIModelConfig.is_active == True,
).first() is not None
for name, model_id, preferred_default in rows:
exists = db.query(AIModelConfig).filter(
AIModelConfig.model_id == model_id,
AIModelConfig.task == task,
).first()
if not exists:
is_def = preferred_default and not has_default
db.execute(text("""
INSERT INTO ai_model_configs (name, model_id, task, is_active, is_default, created_at)
VALUES (:name, :model_id, :task, true, :is_default, NOW())
ON CONFLICT (model_id, task) DO NOTHING
"""), {"name": name, "model_id": model_id, "task": task, "is_default": is_def})
if is_def:
has_default = True
db.commit()
finally:
db.close()
def setup_pgvector():
"""Enable pgvector, add new columns/tables, run schema migrations."""
from sqlalchemy import text
# Import new models so create_all picks them up
from app.models import quiz_category, quiz_question_link, question_category, favorite # noqa
from app.models import flashcard, course # noqa
from app.models import category_grant, conversation, exam, media, question_media, study_plan # noqa
# Kill stale idle-in-transaction connections from previous killed startups.
# They hold DDL locks and cause ALTER TABLE below to hang indefinitely.
with engine.connect() as conn:
conn.execute(text("""
SELECT pg_terminate_backend(pid)
FROM pg_stat_activity
WHERE datname = current_database()
AND state = 'idle in transaction'
AND query_start < NOW() - INTERVAL '30 seconds'
AND pid != pg_backend_pid()
"""))
conn.commit()
# Retry schema migration up to 3 times — Celery tasks may hold locks briefly
for attempt in range(3):
try:
with engine.connect() as conn:
conn.execute(text("SET lock_timeout = '15s'"))
conn.execute(text("CREATE EXTENSION IF NOT EXISTS vector"))
conn.execute(text("ALTER TABLE questions ADD COLUMN IF NOT EXISTS embedding vector(1024)"))
conn.commit()
break
except Exception as e:
if attempt < 2 and "lock" in str(e).lower():
import logging; logging.getLogger(__name__).warning(f"Schema migration lock timeout (attempt {attempt+1}/3), retrying in 5s...")
import time; time.sleep(5)
continue
raise
with engine.connect() as conn:
conn.execute(text("SET lock_timeout = '15s'"))
conn.execute(text("""
CREATE INDEX IF NOT EXISTS questions_embedding_hnsw
ON questions USING hnsw (embedding vector_cosine_ops)
"""))
# Quiz categories
conn.execute(text("""
CREATE TABLE IF NOT EXISTS quiz_categories (
id SERIAL PRIMARY KEY,
name VARCHAR NOT NULL,
user_id INTEGER REFERENCES users(id),
created_at TIMESTAMP DEFAULT NOW()
)
"""))
conn.execute(text("""
ALTER TABLE quizzes
ADD COLUMN IF NOT EXISTS category_id INTEGER REFERENCES quiz_categories(id) ON DELETE SET NULL
"""))
# Question categories (separate from quiz categories)
conn.execute(text("""
CREATE TABLE IF NOT EXISTS question_categories (
id SERIAL PRIMARY KEY,
name VARCHAR NOT NULL,
description TEXT,
user_id INTEGER REFERENCES users(id),
created_at TIMESTAMP DEFAULT NOW()
)
"""))
conn.execute(text("""
ALTER TABLE questions
ADD COLUMN IF NOT EXISTS question_category_id INTEGER
REFERENCES question_categories(id) ON DELETE SET NULL
"""))
# Course quiz flag
conn.execute(text("""
ALTER TABLE quizzes
ADD COLUMN IF NOT EXISTS course_id INTEGER REFERENCES courses(id) ON DELETE CASCADE
"""))
conn.execute(text("""
ALTER TABLE quizzes
ADD COLUMN IF NOT EXISTS max_attempts INTEGER
"""))
conn.execute(text("""
ALTER TABLE quizzes
ADD COLUMN IF NOT EXISTS questions_per_attempt INTEGER
"""))
conn.execute(text("""
ALTER TABLE quiz_attempts
ADD COLUMN IF NOT EXISTS selected_question_ids JSON
"""))
conn.execute(text("""
ALTER TABLE quiz_attempts
ADD COLUMN IF NOT EXISTS expired INTEGER DEFAULT 0
"""))
# Question ownership
conn.execute(text("""
ALTER TABLE questions
ADD COLUMN IF NOT EXISTS user_id INTEGER REFERENCES users(id) ON DELETE SET NULL
"""))
# Fix email collation to avoid en_US.utf8 B-tree index corruption
conn.execute(text('ALTER TABLE users ALTER COLUMN email TYPE varchar COLLATE "C"'))
# Fix: section deletion must not cascade-delete quizzes
conn.execute(text("ALTER TABLE quizzes ALTER COLUMN section_id DROP NOT NULL"))
try:
conn.execute(text("ALTER TABLE quizzes DROP CONSTRAINT IF EXISTS quizzes_section_id_fkey"))
conn.execute(text("ALTER TABLE quizzes ADD CONSTRAINT quizzes_section_id_fkey FOREIGN KEY (section_id) REFERENCES sections(id) ON DELETE SET NULL"))
except Exception as e:
import logging
logging.getLogger(__name__).debug(f"FK constraint migration (may already exist): {e}")
# Soft delete + publish control for quizzes
conn.execute(text("ALTER TABLE quizzes ADD COLUMN IF NOT EXISTS deleted_at TIMESTAMP"))
conn.execute(text("ALTER TABLE quizzes ADD COLUMN IF NOT EXISTS is_published INTEGER DEFAULT 1"))
# Junction table: quiz ↔ question many-to-many
conn.execute(text("""
CREATE TABLE IF NOT EXISTS quiz_question_links (
quiz_id INTEGER NOT NULL REFERENCES quizzes(id) ON DELETE CASCADE,
question_id INTEGER NOT NULL REFERENCES questions(id) ON DELETE CASCADE,
position INTEGER DEFAULT 0,
PRIMARY KEY (quiz_id, question_id)
)
"""))
# Populate junction from existing questions (idempotent via ON CONFLICT DO NOTHING)
conn.execute(text("""
INSERT INTO quiz_question_links (quiz_id, question_id, position)
SELECT quiz_id, id,
ROW_NUMBER() OVER (PARTITION BY quiz_id ORDER BY id) - 1
FROM questions
WHERE quiz_id IS NOT NULL
ON CONFLICT DO NOTHING
"""))
# Make quiz_id on questions nullable (it becomes informational "source_quiz_id")
conn.execute(text("ALTER TABLE questions ALTER COLUMN quiz_id DROP NOT NULL"))
# Favorites table
conn.execute(text("""
CREATE TABLE IF NOT EXISTS favorites (
id SERIAL PRIMARY KEY,
user_id INTEGER NOT NULL REFERENCES users(id) ON DELETE CASCADE,
question_id INTEGER NOT NULL REFERENCES questions(id) ON DELETE CASCADE,
created_at TIMESTAMP DEFAULT NOW(),
UNIQUE(user_id, question_id)
)
"""))
# Unthrottle flag for users (exempt from AI/TTS rate limits)
conn.execute(text("ALTER TABLE users ADD COLUMN IF NOT EXISTS is_unthrottled INTEGER DEFAULT 0"))
# Contact form submissions table
conn.execute(text("""
CREATE TABLE IF NOT EXISTS contact_submissions (
id SERIAL PRIMARY KEY,
name VARCHAR(120) NOT NULL,
email VARCHAR NOT NULL,
type VARCHAR NOT NULL,
message TEXT NOT NULL,
read INTEGER DEFAULT 0,
created_at TIMESTAMP DEFAULT NOW()
)
"""))
# AI question tags (subjects, diseases, keywords)
conn.execute(text("""
CREATE TABLE IF NOT EXISTS question_tags (
id SERIAL PRIMARY KEY,
name VARCHAR(200) NOT NULL,
type VARCHAR(50) NOT NULL,
created_at TIMESTAMP DEFAULT NOW()
)
"""))
conn.execute(text("""
CREATE UNIQUE INDEX IF NOT EXISTS uq_tag_name_type ON question_tags(LOWER(name), type)
"""))
conn.execute(text("""
CREATE TABLE IF NOT EXISTS question_tag_links (
question_id INTEGER REFERENCES questions(id) ON DELETE CASCADE,
tag_id INTEGER REFERENCES question_tags(id) ON DELETE CASCADE,
PRIMARY KEY (question_id, tag_id)
)
"""))
conn.execute(text("""
CREATE TABLE IF NOT EXISTS question_classification_snapshots (
id SERIAL PRIMARY KEY,
job_id VARCHAR(64),
created_by INTEGER REFERENCES users(id) ON DELETE SET NULL,
reason VARCHAR(120) NOT NULL DEFAULT 'before_ai_classification',
question_count INTEGER NOT NULL DEFAULT 0,
link_count INTEGER NOT NULL DEFAULT 0,
created_at TIMESTAMP DEFAULT NOW()
)
"""))
conn.execute(text("""
CREATE INDEX IF NOT EXISTS ix_question_classification_snapshots_created_at
ON question_classification_snapshots (created_at DESC)
"""))
conn.execute(text("""
CREATE TABLE IF NOT EXISTS question_classification_snapshot_links (
snapshot_id INTEGER NOT NULL REFERENCES question_classification_snapshots(id) ON DELETE CASCADE,
question_id INTEGER NOT NULL REFERENCES questions(id) ON DELETE CASCADE,
tag_name VARCHAR(200) NOT NULL,
tag_type VARCHAR(50) NOT NULL,
PRIMARY KEY (snapshot_id, question_id, tag_name, tag_type)
)
"""))
# Flashcard decks and cards
conn.execute(text("""
CREATE TABLE IF NOT EXISTS flashcard_decks (
id SERIAL PRIMARY KEY,
title VARCHAR NOT NULL,
section_id INTEGER REFERENCES sections(id) ON DELETE SET NULL,
user_id INTEGER NOT NULL REFERENCES users(id) ON DELETE CASCADE,
card_count INTEGER DEFAULT 0,
created_at TIMESTAMP DEFAULT NOW()
)
"""))
conn.execute(text("""
CREATE TABLE IF NOT EXISTS flashcards (
id SERIAL PRIMARY KEY,
deck_id INTEGER NOT NULL REFERENCES flashcard_decks(id) ON DELETE CASCADE,
front TEXT NOT NULL,
back TEXT NOT NULL,
page_reference INTEGER,
image_path VARCHAR,
created_at TIMESTAMP DEFAULT NOW()
)
"""))
conn.execute(text("""
CREATE TABLE IF NOT EXISTS flashcard_tag_links (
flashcard_id INTEGER NOT NULL REFERENCES flashcards(id) ON DELETE CASCADE,
tag_id INTEGER NOT NULL REFERENCES question_tags(id) ON DELETE CASCADE,
PRIMARY KEY (flashcard_id, tag_id)
)
"""))
# Soft-delete + sharing for flashcard decks
conn.execute(text("ALTER TABLE flashcard_decks ADD COLUMN IF NOT EXISTS deleted_at TIMESTAMP"))
conn.execute(text("ALTER TABLE flashcard_decks ADD COLUMN IF NOT EXISTS is_shared INTEGER DEFAULT 0"))
# Deck ratings
conn.execute(text("""
CREATE TABLE IF NOT EXISTS flashcard_deck_ratings (
id SERIAL PRIMARY KEY,
deck_id INTEGER NOT NULL REFERENCES flashcard_decks(id) ON DELETE CASCADE,
user_id INTEGER NOT NULL REFERENCES users(id) ON DELETE CASCADE,
rating INTEGER NOT NULL CHECK (rating >= 1 AND rating <= 5),
created_at TIMESTAMP DEFAULT NOW(),
UNIQUE (user_id, deck_id)
)
"""))
# Quiz sharing
conn.execute(text("ALTER TABLE quizzes ADD COLUMN IF NOT EXISTS is_shared INTEGER DEFAULT 0"))
conn.execute(text("ALTER TABLE quizzes ADD COLUMN IF NOT EXISTS allow_review INTEGER DEFAULT 1"))
conn.execute(text("ALTER TABLE questions ADD COLUMN IF NOT EXISTS explanation_image_path VARCHAR"))
# ── Course / LMS tables ──────────────────────────────────────
conn.execute(text("""
CREATE TABLE IF NOT EXISTS courses (
id SERIAL PRIMARY KEY,
title VARCHAR NOT NULL,
description TEXT,
thumbnail_path VARCHAR,
user_id INTEGER NOT NULL REFERENCES users(id) ON DELETE CASCADE,
status VARCHAR DEFAULT 'draft',
is_featured INTEGER DEFAULT 0,
requires_subscription INTEGER DEFAULT 0,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW()
)
"""))
conn.execute(text("""
CREATE TABLE IF NOT EXISTS course_modules (
id SERIAL PRIMARY KEY,
course_id INTEGER NOT NULL REFERENCES courses(id) ON DELETE CASCADE,
title VARCHAR NOT NULL,
description TEXT,
position INTEGER DEFAULT 0
)
"""))
conn.execute(text("""
CREATE TABLE IF NOT EXISTS course_lessons (
id SERIAL PRIMARY KEY,
module_id INTEGER NOT NULL REFERENCES course_modules(id) ON DELETE CASCADE,
title VARCHAR NOT NULL,
description TEXT,
position INTEGER DEFAULT 0,
lesson_type VARCHAR NOT NULL,
content_text TEXT,
video_url VARCHAR,
video_provider VARCHAR,
local_file_path VARCHAR,
quiz_id INTEGER REFERENCES quizzes(id) ON DELETE SET NULL,
live_session_url VARCHAR,
live_session_start TIMESTAMP,
live_session_end TIMESTAMP,
bbb_meeting_id VARCHAR,
duration_minutes INTEGER,
is_required INTEGER DEFAULT 1
)
"""))
conn.execute(text("""
CREATE TABLE IF NOT EXISTS course_enrollments (
id SERIAL PRIMARY KEY,
course_id INTEGER NOT NULL REFERENCES courses(id) ON DELETE CASCADE,
user_id INTEGER NOT NULL REFERENCES users(id) ON DELETE CASCADE,
enrolled_at TIMESTAMP DEFAULT NOW(),
completed_at TIMESTAMP,
progress_pct FLOAT DEFAULT 0.0,
status VARCHAR DEFAULT 'enrolled',
UNIQUE (course_id, user_id)
)
"""))
conn.execute(text("""
CREATE TABLE IF NOT EXISTS course_lesson_progress (
id SERIAL PRIMARY KEY,
enrollment_id INTEGER NOT NULL REFERENCES course_enrollments(id) ON DELETE CASCADE,
lesson_id INTEGER NOT NULL REFERENCES course_lessons(id) ON DELETE CASCADE,
status VARCHAR DEFAULT 'not_started',
started_at TIMESTAMP,
completed_at TIMESTAMP,
score FLOAT,
time_spent_seconds INTEGER DEFAULT 0,
UNIQUE (enrollment_id, lesson_id)
)
"""))
conn.commit()
def backfill_embeddings():
"""Generate embeddings for questions that don't have one yet (background, best-effort)."""
import threading
from app.models.question import Question
from app.services import embedding_service
def _run():
db = SessionLocal()
try:
missing = db.query(Question).filter(Question.embedding.is_(None)).all()
if not missing:
return
import logging
log = logging.getLogger(__name__)
log.info(f"Backfilling embeddings for {len(missing)} questions...")
ok = 0
for q in missing:
try:
if embedding_service.embed_question(q):
ok += 1
except Exception as e:
log.warning(f"Embedding failed for question {q.id}: {e}")
db.commit()
log.info(f"Backfill complete: {ok}/{len(missing)} embedded")
except Exception as e:
import logging
logging.getLogger(__name__).warning(f"Embedding backfill failed: {e}")
finally:
db.close()
threading.Thread(target=_run, daemon=True).start()
def _acquire_singleton_lock() -> bool:
"""Returns True if this worker wins the startup lock for singleton tasks (scheduler, backfill).
Uses Redis SETNX with a 5-minute TTL. Degrades gracefully if Redis is unavailable."""
try:
import redis as redis_lib
r = redis_lib.from_url(settings.REDIS_URL, decode_responses=True, socket_connect_timeout=2)
return bool(r.set("startup:singleton_lock", "1", nx=True, ex=300))
except Exception:
return True # Redis unavailable — assume single worker, run everything
# Stable int64 for pg_advisory_lock — arbitrary but must not collide with other uses.
_STARTUP_DDL_LOCK_KEY = 8472931
def _run_startup_ddl():
"""Serialize startup DDL across uvicorn workers using a Postgres advisory lock.
Without this, N workers run ALTER TABLE / CREATE TABLE in parallel at startup
and occasionally acquire AccessExclusiveLocks in different orders, tripping
Postgres's deadlock detector and killing one worker. The DDL itself is
idempotent (IF NOT EXISTS / create_all), so the losing worker runs it again
as a no-op after the winner releases the lock.
"""
from sqlalchemy import text
import logging
log = logging.getLogger(__name__)
# The advisory lock is session-scoped, held for the lifetime of this connection.
with engine.connect() as lock_conn:
log.info("Acquiring startup DDL advisory lock...")
lock_conn.execute(text("SELECT pg_advisory_lock(:k)"), {"k": _STARTUP_DDL_LOCK_KEY})
lock_conn.commit()
try:
Base.metadata.create_all(bind=engine)
setup_pgvector()
finally:
lock_conn.execute(text("SELECT pg_advisory_unlock(:k)"), {"k": _STARTUP_DDL_LOCK_KEY})
lock_conn.commit()
log.info("Startup DDL complete.")
@asynccontextmanager
async def lifespan(app: FastAPI):
# Startup — all workers gate DDL behind a Postgres advisory lock to avoid deadlocks.
_run_startup_ddl()
os.makedirs(settings.UPLOAD_DIR, exist_ok=True)
os.makedirs(os.path.join(settings.UPLOAD_DIR, "images"), exist_ok=True)
os.makedirs(settings.CHROMA_PERSIST_DIR, exist_ok=True)
seed_admin()
seed_default_models()
# The backfill must run in one worker only, or several race each other.
if _acquire_singleton_lock():
backfill_embeddings()
yield
app = FastAPI(
title="PedsHub",
description="Pediatric Knowledge Quiz Platform",
version="2.0.0",
lifespan=lifespan,
)
app.add_middleware(
CORSMiddleware,
allow_origins=["https://quiz.danvics.com", "https://pedshub.com", "https://www.pedshub.com"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
expose_headers=["X-New-Token"], # Allow frontend to read this header
)
# Session middleware for OIDC state (authlib needs it)
from starlette.middleware.sessions import SessionMiddleware
app.add_middleware(SessionMiddleware, secret_key=settings.SECRET_KEY)
# Add token refresh middleware AFTER CORS (middleware applies in reverse)
from app.utils.auth import TokenRefreshMiddleware
app.add_middleware(TokenRefreshMiddleware)
# Request logging middleware — logs every request with user, duration, status
from app.middleware.request_logging import RequestLoggingMiddleware
app.add_middleware(RequestLoggingMiddleware)
# Serve uploaded images as static files
app.include_router(uploads.router)
app.include_router(auth.router, prefix="/api/auth", tags=["auth"])
# Counts the landing page states about itself. No auth: a stranger reads it.
app.include_router(public.router, prefix="/api/public", tags=["public"])
app.include_router(articles.router, prefix="/api/articles", tags=["articles"])
app.include_router(access.router, prefix="/api/access", tags=["access"])
app.include_router(feedback.router, prefix="/api/feedback", tags=["feedback"])
app.include_router(exams.router, prefix="/api/exams", tags=["exams"])
app.include_router(study_plans.router, prefix="/api/study-plans", tags=["study-plans"])
app.include_router(drafts.router, prefix="/api/drafts", tags=["drafts"])
app.include_router(media.router, prefix="/api/media", tags=["media"])
app.include_router(share.router, prefix="/api/share", tags=["share"])
app.include_router(collections.router, prefix="/api/collections", tags=["collections"])
app.include_router(documents.router, prefix="/api/documents", tags=["documents"])
app.include_router(quizzes.router, prefix="/api/quizzes", tags=["quizzes"])
app.include_router(attempts.router, prefix="/api/attempts", tags=["attempts"])
app.include_router(admin.router, prefix="/api/admin", tags=["admin"])
app.include_router(tts.router, prefix="/api/tts", tags=["tts"])
app.include_router(nextcloud.router, prefix="/api/nextcloud", tags=["nextcloud"])
app.include_router(categories.router, prefix="/api/categories", tags=["categories"])
app.include_router(questions.router, prefix="/api/questions", tags=["questions"])
app.include_router(question_categories.router, prefix="/api/question-categories", tags=["question-categories"])
app.include_router(favorites.router, prefix="/api/favorites", tags=["favorites"])
app.include_router(teach.router, prefix="/api/teach", tags=["teach"])
app.include_router(contact.router, prefix="/api/contact", tags=["contact"])
app.include_router(tags.router, prefix="/api/tags", tags=["tags"])
app.include_router(flashcards.router, prefix="/api/flashcards", tags=["flashcards"])
app.include_router(courses.router, prefix="/api/courses", tags=["courses"])
app.include_router(mobile.router, prefix="/api/mobile", tags=["mobile"])
app.include_router(mynote.router, prefix="/api/mynote", tags=["mynote"])
app.include_router(study_tools.router, prefix="/api/study-tools", tags=["study-tools"])
app.include_router(search.router, prefix="/api/search", tags=["search"])
app.include_router(ai_mode.router, prefix="/api/ai", tags=["ai-mode"])
@app.get("/api/health")
def health_check():
return {"status": "ok"}
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