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fix: redis for api token (#31861)
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com> Co-authored-by: hj24 <mambahj24@gmail.com>
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@ -1,27 +1,24 @@
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import logging
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import time
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from collections.abc import Callable
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from datetime import timedelta
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from enum import StrEnum, auto
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from functools import wraps
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from typing import Concatenate, ParamSpec, TypeVar
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from typing import Concatenate, ParamSpec, TypeVar, cast
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from flask import current_app, request
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from flask_login import user_logged_in
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from flask_restx import Resource
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from pydantic import BaseModel
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from sqlalchemy import select, update
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from sqlalchemy.orm import Session
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from werkzeug.exceptions import Forbidden, NotFound, Unauthorized
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from enums.cloud_plan import CloudPlan
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from extensions.ext_database import db
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from extensions.ext_redis import redis_client
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from libs.datetime_utils import naive_utc_now
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from libs.login import current_user
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from models import Account, Tenant, TenantAccountJoin, TenantStatus
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from models.dataset import Dataset, RateLimitLog
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from models.model import ApiToken, App
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from services.api_token_service import ApiTokenCache, fetch_token_with_single_flight, record_token_usage
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from services.end_user_service import EndUserService
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from services.feature_service import FeatureService
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@ -296,7 +293,14 @@ def validate_dataset_token(view: Callable[Concatenate[T, P], R] | None = None):
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def validate_and_get_api_token(scope: str | None = None):
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"""
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Validate and get API token.
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Validate and get API token with Redis caching.
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This function uses a two-tier approach:
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1. First checks Redis cache for the token
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2. If not cached, queries database and caches the result
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The last_used_at field is updated asynchronously via Celery task
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to avoid blocking the request.
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"""
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auth_header = request.headers.get("Authorization")
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if auth_header is None or " " not in auth_header:
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@ -308,29 +312,18 @@ def validate_and_get_api_token(scope: str | None = None):
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if auth_scheme != "bearer":
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raise Unauthorized("Authorization scheme must be 'Bearer'")
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current_time = naive_utc_now()
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cutoff_time = current_time - timedelta(minutes=1)
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with Session(db.engine, expire_on_commit=False) as session:
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update_stmt = (
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update(ApiToken)
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.where(
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ApiToken.token == auth_token,
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(ApiToken.last_used_at.is_(None) | (ApiToken.last_used_at < cutoff_time)),
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ApiToken.type == scope,
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)
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.values(last_used_at=current_time)
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)
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stmt = select(ApiToken).where(ApiToken.token == auth_token, ApiToken.type == scope)
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result = session.execute(update_stmt)
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api_token = session.scalar(stmt)
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# Try to get token from cache first
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# Returns a CachedApiToken (plain Python object), not a SQLAlchemy model
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cached_token = ApiTokenCache.get(auth_token, scope)
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if cached_token is not None:
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logger.debug("Token validation served from cache for scope: %s", scope)
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# Record usage in Redis for later batch update (no Celery task per request)
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record_token_usage(auth_token, scope)
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return cast(ApiToken, cached_token)
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if hasattr(result, "rowcount") and result.rowcount > 0:
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session.commit()
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if not api_token:
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raise Unauthorized("Access token is invalid")
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return api_token
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# Cache miss - use Redis lock for single-flight mode
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# This ensures only one request queries DB for the same token concurrently
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return fetch_token_with_single_flight(auth_token, scope)
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class DatasetApiResource(Resource):
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