Merge branch 'fix/api-token-lock' of github.com:langgenius/dify into fix/api-token-lock

This commit is contained in:
Yansong Zhang
2026-02-04 12:20:51 +08:00
2 changed files with 8 additions and 8 deletions

View File

@ -328,10 +328,10 @@ def validate_and_get_api_token(scope: str | None = None):
# Cache miss - use Redis lock for single-flight mode
# This ensures only one request queries DB for the same token concurrently
logger.debug("Token cache miss, attempting to acquire query lock for scope: %s", scope)
lock_key = f"api_token_query_lock:{scope}:{auth_token}"
lock = redis_client.lock(lock_key, timeout=10, blocking_timeout=5)
try:
if lock.acquire(blocking=True):
try:
@ -341,12 +341,12 @@ def validate_and_get_api_token(scope: str | None = None):
if cached_token is not None:
logger.debug("Token cached by concurrent request, using cached version")
return cached_token
# Still not cached - query database
with Session(db.engine, expire_on_commit=False) as session:
current_time = naive_utc_now()
update_token_last_used_at(auth_token, scope, current_time, session=session)
stmt = select(ApiToken).where(ApiToken.token == auth_token, ApiToken.type == scope)
api_token = session.scalar(stmt)
@ -364,7 +364,7 @@ def validate_and_get_api_token(scope: str | None = None):
with Session(db.engine, expire_on_commit=False) as session:
current_time = naive_utc_now()
update_token_last_used_at(auth_token, scope, current_time, session=session)
stmt = select(ApiToken).where(ApiToken.token == auth_token, ApiToken.type == scope)
api_token = session.scalar(stmt)
@ -380,7 +380,7 @@ def validate_and_get_api_token(scope: str | None = None):
with Session(db.engine, expire_on_commit=False) as session:
current_time = naive_utc_now()
update_token_last_used_at(auth_token, scope, current_time, session=session)
stmt = select(ApiToken).where(ApiToken.token == auth_token, ApiToken.type == scope)
api_token = session.scalar(stmt)

View File

@ -22,7 +22,7 @@ class CachedApiToken(BaseModel):
This is NOT a SQLAlchemy model instance, but a plain Pydantic model
that mimics the ApiToken model interface for read-only access.
Using Pydantic provides:
- Automatic type validation
- Better IDE support
@ -82,7 +82,7 @@ class ApiTokenCache:
# If it's already a Pydantic model, use model_dump_json
if isinstance(api_token, CachedApiToken):
return api_token.model_dump_json()
# Otherwise, convert from SQLAlchemy model
data = {
"id": str(api_token.id),