This tutorial shows how to report and track uncaught exceptions in the Getting started with Python tutorial by using the Google Cloud console.
Error Reporting provides a centralized dashboard that shows counts of each unique error, stack traces, and a history of occurrences. You can also set up an alert for when errors occur.
This page is part of a multipage tutorial. To start from the beginning and read the setup instructions, go to Python Bookshelf app.
Configuring settings
This section uses code in the 5-logging
directory. Edit the files
and run commands in this directory.
-
Open the
config.py
file for editing and replace the following values: -
Set the value of
[PROJECT_ID]
to your project ID, which is visible in the Google Cloud console. -
Set the value of
[DATA_BACKEND]
to the same value you used during the Using structured data tutorial. -
If you are using Cloud SQL or MongoDB, set the values under
the
Cloud SQL
orMongo
section to the same values you used during the Using structured data step. -
Set the value of
[CLOUD_STORAGE_BUCKET]
to your Cloud Storage bucket name. -
Under the
OAuth2 configuration
section, set the values of[GOOGLE_OAUTH2_CLIENT_ID]
and[GOOGLE_OAUTH2_CLIENT_SECRET]
to the application client ID and secret that you created previously. -
Save and close the
config.py
file.
If you are using Cloud SQL:
-
Open the
app.yaml
file for editing. -
Set the value of
cloudsql-instance
to the same value used for[CLOUDSQL_CONNECTION_NAME]
in theconfig.py
file. Use the formatproject:region:cloudsql-instance
. Uncomment this entire line. -
Save and close the
app.yaml
file.
Installing dependencies
To create a virtual environment and install dependencies, use the following commands:
Linux/macOS
virtualenv -p python3 env
source env/bin/activate
pip install -r requirements.txt
Windows
virtualenv -p python3 env
env\scripts\activate
pip install -r requirements.txt
Running the app on your local machine
Start a local web server:
python main.py
In your browser, enter the following address:
http://localhost:8080
Press Control+C to exit the worker and then the local web server.
Deploying the app to the App Engine flexible environment
Deploy the sample app:
gcloud app deploy
In your browser, enter the following URL:
https://PROJECT_ID.REGION_ID.r.appspot.com
Replace the following:
PROJECT_ID
: Your Google Cloud project IDREGION_ID
: A code that App Engine assigns to your app
If you update your app, you deploy the updated version by entering the same command that you used to deploy the app. The deployment creates a new version of your app and promotes it to the default version. The earlier versions of your app remain, as do their associated virtual machine (VM) instances. All of these app versions and VM instances are billable resources. To reduce costs, delete the non-default versions of your app.
To delete an app version:
- In the Google Cloud console, go to the Versions page for App Engine.
- Select the checkbox for the non-default app version that you want to delete.
- To delete the app version, click Delete.
For more information about cleaning up billable resources, see the Cleaning up section in the final step of this tutorial.
Simulate an error
To see Error Reporting in action, intentionally introduce a mistake in your code, and then look for the exception in the Google Cloud console's Error Reporting page.
In
bookshelf/crud.py
, add an operation that accesses an undefined variable and generates aReferenceError
in the index view.@crud.route("/") def list(): x[3]
Deploy the app.
gcloud app deploy
Access the index page.
gcloud app browse
You can view the message
An internal error occurred
.-
In the Google Cloud console, go to the Error Reporting page:
You can also find this page by using the search bar.
You can see the error listed.
Click the error to see information about the error, such as when the error was last seen,the number of times the error occurred, a histogram of occurrence times, and the stack trace.
Understanding the code
To report uncaught exceptions, the code first uses the Flask errorhandler
decorator, and then reports the exception to Error Reporting by using
the
Cloud Client Libraries for Python.
The client automatically adds the traceback info and uses a helper function to
extract the relevant request details from the Flask request, which populates
Error Reporting with the relevant stack traces and HTTP contexts for any
uncaught InternalServerError
HTTP 500
exception in your app.
Clean up
To avoid incurring charges to your Google Cloud account for the resources used in this tutorial, either delete the project that contains the resources, or keep the project and delete the individual resources.
The easiest way to eliminate billing is to delete the project that you created for the tutorial.
To delete the project:
- In the Google Cloud console, go to the Manage resources page.
- In the project list, select the project that you want to delete, and then click Delete.
- In the dialog, type the project ID, and then click Shut down to delete the project.