Setting Up Cloud Debugger for Python

Overview

This page describes how to configure your environment and your Python application to use Cloud Debugger. For some environments, you must explicitly specify the access scope to let the Cloud Debugger agent send data. We recommend setting the broadest possible access scope and then using Identity and Access Management to restrict access. In keeping with this best practice, set the access scope to be all Cloud APIs with the option cloud-platform.

Language versions and compute environments

Cloud Debugger is available for Python 3 on the following compute environments:

App Engine Standard environment	App Engine Flexible environment	Compute Engine	Google Kubernetes Engine	Cloud Run	Cloud Run for Anthos	VMs and Containers running elsewhere	Cloud Functions

Setting up Cloud Debugger

To set up Cloud Debugger, complete the following tasks:

Verify the Cloud Debugger API is enabled for your project.
Install and configure the Debugger on the compute environment you're using.
Select your source code.

Verifying the Cloud Debugger API is enabled

To begin using Cloud Debugger, ensure that the Cloud Debugger API is enabled. Cloud Debugger is enabled by default for most projects.
Enable Cloud Debugger API

Canary snapshots and logpoints

To prevent snapshots and logpoints from being loaded on all running instances at the same time, and possibly causing the job to be taken down because of a potential bug in the Debugger agent, enable canary mode for the Debugger agent. When canary mode is enabled, a snapshot or logpoint is applied to a subset of running instances and Debugger verifies that the snapshot or logpoint doesn't adversely affect those instances. After the verification is complete, the snapshot or logpoint is applied to all instances.

To learn how to use Debugger in canary mode, go to the the Debug snapshots and Debug logpoints pages.

Enabling canary snapshots and logpoints

When you install the latest version of the Debugger agent, you have the option to enable or disable canarying. Canarying is disabled by default.

When to enable canary snapshots and logpoints

To protect deployment and production-critical workloads, enable canarying when debugging these workloads.

If you have a single instance, you can still debug with canarying enabled, but your single instance runs without canarying the snapshot or logpoint.

When not to enable canary snapshots and logpoints

Don't enable canarying on workloads that have an execution time of less than 40 seconds, for instance, jobs using Cloud Functions.

Don't enable canarying if you want a faster snapshot-triggering cycle.

To configure the Debugger agent to not canary snapshots and logpoints, go to the installation instructions for the Google Cloud platform you're using.

App Engine standard environment

Python 3.7 or Python 3.8

If you are using Python 3.7 or Python 3.8, you must manually enable the Debugger agent by performing the following steps:

Make sure your app.yaml file contains the following lines:
```
runtime: python37
or
runtime: python38
```
Add the following lines as early as possible in your initialization code, such as in your main function, or in manage.py when using the Django web framework (version 1.* only).

To debug with canarying enabled:
```
try:
  import googleclouddebugger
  googleclouddebugger.enable(
    breakpoint_enable_canary=True
  )
except ImportError:
  pass
```
To debug with canarying not enabled, set the breakpoint_enable_canary parameter to False:
```
 breakpoint_enable_canary=False
```
Add google-python-cloud-debugger to requirements.txt.
To have the Debug page in the Google Cloud console automatically display source code matching the deployed app, go to Selecting source code automatically.

The Debugger is now ready for use with your app.

App Engine flexible environment

You can use the Debugger with the App Engine Python runtime or a custom runtime.

Make sure your App Engine Flexible VM instances are running:
- A 64-bit Debian Linux image
- Python 3
Make sure your app.yaml file contains the following lines:
```
runtime: python
env: flex
```
If you are using a Custom Runtime, use runtime: custom.
Add google-python-cloud-debugger to requirements.txt.
Add the following lines as early as possible in your initialization code, such as in your main function, or in manage.py when using the Django web framework (version 1.* only).

To debug with canarying enabled:
```
try:
  import googleclouddebugger
  googleclouddebugger.enable(
    breakpoint_enable_canary=True
  )
except ImportError:
  pass
```
To debug with canarying not enabled, set the breakpoint_enable_canary parameter to False:
```
breakpoint_enable_canary=False
```
To have the Debug page in the Google Cloud console automatically display source code matching the deployed app, see Selecting source code automatically.

The Debugger is now ready for use with your app.

Google Kubernetes Engine

GCLOUD

To enable Debugger using gcloud, complete the following steps:

Create your cluster with one of the following access scopes:
- https://www.googleapis.com/auth/cloud-platform grants your cluster access to all Google Cloud APIs.
- https://www.googleapis.com/auth/cloud_debugger grants your cluster access to only the Debugger API. Use this access scope to harden your cluster's security.
```
gcloud container clusters create example-cluster-name \
       --scopes=https://www.googleapis.com/auth/cloud_debugger
```
Note: You cannot change the access scopes of a cluster after creation.
Add the Debugger package to your app:

If you use a requirements.txt file, add the following line:
```
  google-python-cloud-debugger
```
If you use a Dockerfile, add the following line:
```
  RUN pip install google-python-cloud-debugger
```
Add the following lines as early as possible in your initialization code, such as in your main function, or in manage.py when using the Django web framework:

To debug with canarying enabled:
```
  try:
    import googleclouddebugger
    googleclouddebugger.enable(
      breakpoint_enable_canary=True
    )
  except ImportError:
    pass
```
To debug with canarying NOT enabled, set the breakpoint_enable_canary parameter to False:
```
  breakpoint_enable_canary=False
```

On the Debug page, select the location of the source code. To have the Debug page in the Google Cloud console automatically display source code matching the deployed app, see Selecting source code automatically.

The Debugger is now ready to use.

CONSOLE

To enable Debugger by using the Google Cloud console, complete the following steps:

On the Node pools section, select Security, and then select Set access for each API.
Enable Debugger.
Optional: Select Allow full access to all Cloud APIs.
Add the Debugger package to your app:

If you use a requirements.txt file, add the following line:
```
google-python-cloud-debugger
```
If you use a Dockerfile, add the following line:
```
RUN pip install google-python-cloud-debugger
```
Add the following lines as early as possible in your initialization code, such as in your main function, or in manage.py when using the Django web framework:

To debug with canarying enabled:
```
try:
  import googleclouddebugger
  googleclouddebugger.enable(
    breakpoint_enable_canary=True
  )
except ImportError:
  pass
```
To debug with canarying not enabled, set the breakpoint_enable_canary parameter to False:
```
breakpoint_enable_canary=False
```

The Debugger is now ready to use.

Compute Engine

Make sure your Compute Engine VM instances are running:
- A 64-bit Debian Linux image
- Python 3
Make sure your Compute Engine VM instances are created with the access scope option Allow full access to all Cloud APIs, or have one of the following access scopes:
- https://www.googleapis.com/auth/cloud-platform
- https://www.googleapis.com/auth/cloud_debugger
Download the Debugger agent.

The easiest way to install the Python Debugger is with pip:
```
pip install google-python-cloud-debugger
```
Add the following lines as early as possible in your initialization code, such as in your main function, or in manage.py when using the Django web framework.

To debug with canarying enabled:
```
try:
  import googleclouddebugger
  googleclouddebugger.enable(
    module='[MODULE]',
    version='[VERSION]'
    breakpoint_enable_canary=True
  )
except ImportError:
  pass
```
To debug with canarying not enabled, set the breakpoint_enable_canary parameter to False:
```
breakpoint_enable_canary=False
```
If you can't change the code, run the Debugger agent as a module.

To debug with canarying enabled:
```
python -m googleclouddebugger \
      --module=[MODULE] \
      --version=[VERSION] \
      --breakpoint_enable_canary=True
      -- \
      myapp.py
```
To debug with canarying not enabled, set the breakpoint_enable_canary parameter to False:
```
breakpoint_enable_canary=False
```
Note: When running Debugger as a module, the value for --breakpoint_enable_canary is a string. Any value other than True is treated as False.

Replace the placeholders in the command as follows:
- [MODULE] is the name of your app.
  This, along with the version, is used to identify the debug target in the Google Cloud console Debug page.
  Examples: MyApp, Backend, or Frontend.
- [VERSION] is the app version (for example, the build ID).
  The Google Cloud console Debug page displays the running version as [MODULE] - [VERSION].
  Example values: v1.0, build_147, or v20170714.

The Debugger is now ready for use with your app.

To have the Debug page in the Google Cloud console automatically display source code matching the deployed app see Selecting source code automatically.

Cloud Run and Cloud Run for Anthos

Python package.

If you use a requirements.txt file, add the following line:
```
google-python-cloud-debugger
```
If you do not, add the following line to your Dockerfile:
```
RUN pip install google-python-cloud-debugger
```
Add the following lines as early as possible in your initialization code, such as in your main function, or in manage.py when using the Django web framework:

To debug with canarying enabled:
```
try:
  import googleclouddebugger
  googleclouddebugger.enable(
    breakpoint_enable_canary=True
  )

except ImportError:
  pass
```
To debug with canarying not enabled, set the breakpoint_enable_canary parameter to False:
```
breakpoint_enable_canary=False
```

The Debugger is now ready to use.

Local and elsewhere

Make sure your workstation is running:
- A 64-bit Debian Linux image
- Python 3
Download the Debugger agent.

The easiest way to install the Python Debugger is with pip:
```
pip install google-python-cloud-debugger
```
Download service account credentials.

To use the Cloud Debugger agent for Python on machines not hosted by Google Cloud, the agent must use Google Cloud service-account credentials to authenticate with the Cloud Debugger Service.

Use the Google Cloud console Service Accounts page to create a credentials file for an existing or new service-account. The service-account must have at least the Cloud Debugger Agent role.

Place the service-account JSON file alongside the Cloud Debugger agent for Python.
Add the following lines as early as possible in your initialization code, such as in your main function, or in manage.py when using Django Web Framework.

To debug with canarying enabled:
```
try:
  import googleclouddebugger
  googleclouddebugger.enable(
      module='[MODULE]',
      version='[VERSION]',
      breakpoint_enable_canary=True
      service_account_json_file='/opt/cdbg/gcp-svc.json')
except ImportError:
  pass
```
To debug with canarying NOT enabled, set the breakpoint_enable_canary parameter to False:
```
breakpoint_enable_canary=False
```
If you can't change the code, run the Debugger agent as a module.

To debug with canarying enabled:
```
python \
    -m googleclouddebugger \
    --module=[MODULE] \
    --version=[VERSION] \
    --breakpoint_enable_canary=True
    --service_account_json_file=/opt/cdbg/gcp-svc.json \
    -- \
    myapp.py
```
To debug with canarying not enabled, set the breakpoint_enable_canary parameter to False:
```
breakpoint_enable_canary=False
```
Note: When running Debugger as a module, the value for --breakpoint_enable_canary is a string. Any value other than True is treated as False.

Replace the placeholders in the command as follows:
- [MODULE] is the name of your app.
  This, along with the version, is used to identify the debug target in the Google Cloud console Debug page.
  Examples: MyApp, Backend, or Frontend.
- [VERSION] is the app version (for example, the build ID).
  The Google Cloud console Debug page displays the running version as [MODULE] - [VERSION].
  Example values: v1.0, build_147, or v20170714.
- The GOOGLE_APPLICATION_CREDENTIALS environment variable can be used instead of specifying service_account_json_file.

The Debugger is now ready for use with your app.

The Debug page in the Google Cloud console can display local source files, without upload, for local development. See Selecting source code manually.