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							- import openai
 
- import sentry_sdk
 
- from langfuse import parse_error
 
- from sentry_sdk.integrations.celery import CeleryIntegration
 
- from sentry_sdk.integrations.flask import FlaskIntegration
 
- from werkzeug.exceptions import HTTPException
 
- from configs import dify_config
 
- from core.model_runtime.errors.invoke import InvokeRateLimitError
 
- def before_send(event, hint):
 
-     if "exc_info" in hint:
 
-         exc_type, exc_value, tb = hint["exc_info"]
 
-         if parse_error.defaultErrorResponse in str(exc_value):
 
-             return None
 
-     return event
 
- def init_app(app):
 
-     if dify_config.SENTRY_DSN:
 
-         sentry_sdk.init(
 
-             dsn=dify_config.SENTRY_DSN,
 
-             integrations=[FlaskIntegration(), CeleryIntegration()],
 
-             ignore_errors=[
 
-                 HTTPException,
 
-                 ValueError,
 
-                 openai.APIStatusError,
 
-                 InvokeRateLimitError,
 
-                 parse_error.defaultErrorResponse,
 
-             ],
 
-             traces_sample_rate=dify_config.SENTRY_TRACES_SAMPLE_RATE,
 
-             profiles_sample_rate=dify_config.SENTRY_PROFILES_SAMPLE_RATE,
 
-             environment=dify_config.DEPLOY_ENV,
 
-             release=f"dify-{dify_config.CURRENT_VERSION}-{dify_config.COMMIT_SHA}",
 
-             before_send=before_send,
 
-         )
 
 
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