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google-cloud-error-reporting

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library1.16.1pypypi✓ verified 22d ago

The `google-cloud-error-reporting` client library for Python counts, analyzes, and aggregates crashes in your running cloud services. It provides a centralized error management interface to view error details, track occurrences, and set up alerts for new errors or spikes. The library is currently at version 1.15.0 and is actively maintained by Google, with frequent updates across the `google-cloud-python` monorepo.

pip install google-cloud-error-reporting
INSTALL
IMPORT
SIG · GOOGLE-CLOUD-ERROR
G
google-cloud-error-reporting
gcppythonv1.16.1
Install
6.2s avg
Import
1938ms
Disk
72MB
Pass rate
10/ 10
Env Coverage10 / 10
glibc
3.93.13
musl
3.93.13
Install & Compatibility
Where this runs
tested against v1.16.1 · pip install
no network on importno background threads
Install × environment matrix
Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux
musl
py 3.103.95 runs
installs and imports cleanly · install 0.0s · import 2.346s · 73.8MB
glibc
py 3.103.95 runs
installs and imports cleanly · install 6.2s · import 1.530s · 72MB
72MB installed
● package 72MB
Code
Verified usage

Verified import paths — ran on the pinned version, not inferred.

Client
from google.cloud import error_reporting
Import the main client class for Error Reporting.
HTTPContext
from google.cloud.error_reporting import HTTPContext
Import to provide detailed HTTP request context for errors.
build_flask_context
from google.cloud.error_reporting import build_flask_context
Helper function specifically for Flask applications to construct HTTPContext from a Werkzeug request object.

This quickstart demonstrates how to initialize the `ErrorReportingClient` and report both caught exceptions using `report_exception()` and custom error messages using `report()`. It also highlights the importance of setting the Google Cloud project ID, ideally via an environment variable, for client initialization and error grouping.

import os from google.cloud import error_reporting # Your Google Cloud Project ID # It's recommended to set this as an environment variable (e.g., GOOGLE_CLOUD_PROJECT) project_id = os.environ.get('GOOGLE_CLOUD_PROJECT', 'your-project-id') # Initialize the Error Reporting client # service and version help group errors in the UI. # The project ID is usually inferred from the environment if not explicitly provided. try: client = error_reporting.Client(project=project_id, service='my-app-service', version='1.0.0') except ValueError as e: print(f"Could not initialize Error Reporting client: {e}. Make sure GOOGLE_CLOUD_PROJECT is set or provide project ID.") exit(1) def trigger_error(): try: # Simulate an error result = 1 / 0 except ZeroDivisionError: # Report the exception to Google Cloud Error Reporting print("Reporting an exception...") client.report_exception() except Exception as e: # Report a custom error message without an explicit exception object print(f"Reporting a custom error: {e}") client.report(f"Custom error occurred: {e}") if __name__ == '__main__': # Example of reporting an uncaught exception (requires a try/except) trigger_error() # Example of reporting a generic message (not tied to a specific exception trace) # client.report("A non-exception related issue occurred.") print("Error reporting client initialized and potential error reported.") print("Check your Google Cloud Error Reporting dashboard for 'my-app-service'.")
Debug
Known issues
breakingPython versions 3.8 and below are no longer supported. Users on older Python versions must upgrade to Python 3.9 or newer to use this library.
fix
Upgrade your Python environment to 3.9 or higher. Example: `pyenv install 3.9.18 && pyenv local 3.9.18`
affects: <1.0.0 (exact version unclear, but >=3.9 is the current requirement)
gotchaThis library's logging events are not handled by default. If you rely on the library's internal logging for debugging or monitoring, you must explicitly configure Python's `logging` module to handle them.
fix
Configure Python's `logging` module in your application. For environment-based configuration, set `GOOGLE_SDK_PYTHON_LOGGING_SCOPE` to `google.cloud.error_reporting`. For code-based configuration, ensure `logging.getLogger("google").propagate = True` if you want events to reach the root logger.
affects: All versions
gotchaMany Google Cloud services (e.g., App Engine, Cloud Run, GKE) automatically integrate with Error Reporting by parsing Cloud Logging entries with stack traces. You generally only need to use this client library for reporting custom application-specific errors, business logic failures, or errors from non-standard/on-premise environments where automatic capture isn't available.
fix
Understand when automatic integration is sufficient versus when direct client library usage is necessary. Avoid redundant error reporting.
affects: All versions
gotchaThe `Client` constructor requires a project ID, either explicitly provided or discoverable from the environment (e.g., `GOOGLE_CLOUD_PROJECT` environment variable). Failing to provide or infer it will result in a `ValueError` during client initialization.
fix
Ensure the `GOOGLE_CLOUD_PROJECT` environment variable is set in your deployment environment, or explicitly pass `project='your-project-id'` to the `error_reporting.Client()` constructor.
affects: All versions
Errors
Common errors & fixes
ModuleNotFoundError: No module named 'google.cloud.error_reporting'
The `google-cloud-error-reporting` library is not installed in the active Python environment.
fix
pip install google-cloud-error-reporting
AttributeError: 'Client' object has no attribute 'project'
This error typically occurs when using an older version of the `google-cloud-error-reporting` library or when a `Client` object is instantiated incorrectly, leading to an attempt to access a non-existent internal attribute.
fix
Upgrade the `google-cloud-error-reporting` library to the latest version. If using older versions, ensure the `Client` is initialized according to the documentation, avoiding reliance on internal attributes like `_project` or `project` directly. (e.g., `client = error_reporting.Client(project='your-project-id')` or letting it infer from environment).
ModuleNotFoundError: No module named 'google.cloud.logging.client'
This specific import error arises due to an incompatibility or version mismatch between `google-cloud-error-reporting` and `google-cloud-logging`, where the `error_reporting` library expects an older or different structure of the `logging` client library.
fix
Ensure `google-cloud-error-reporting` and `google-cloud-logging` are updated to compatible versions, or if necessary, temporarily downgrade `google-cloud-logging` to a version known to be compatible with your `google-cloud-error-reporting` version (e.g., `google-cloud-logging==1.15.1`).
Could not load the default credentials
The application cannot find or use the necessary Google Cloud credentials (Application Default Credentials - ADC) to authenticate with the Error Reporting API, or the authenticated identity lacks the required IAM permissions.
fix
For local development, set up ADC using `gcloud auth application-default login`. For deployed applications, ensure the service account associated with your environment has the `Error Reporting Writer` role (`roles/errorreporting.writer`).
Upgrade
Version history
1.16.1latest on PyPI · released Aug 24, 2026
Audit
Dependencies
pythonrequiredRequires Python version 3.9 or higher.
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