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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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