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Version: Cloud

Capture Request Body

Overview​

The Capture Request Body feature allows to store the request body of an HTTP transaction, making it a useful tool for debugging and troubleshooting.

caution

The request body usually contains confidential information like credit card numbers and passwords. Therefore, if your service deals with such sensitive data, enable this feature with caution.

Supported Platforms

AWS Lambda | Docker | ECS | Instance | Kubernetes

note

The following configurations are applicable to all platforms.

Supported Frameworks

Django | Flask

Django​

Enable Capture Request Body​

Do the following steps in Settings.py to enable the Capture Request Body feature.

  1. Add the following key-value pair within the ELASTIC_APM block of Settings.py file.
  'CAPTURE_BODY': 'all'
  1. Add the below line within the try block of Settings.py file.
 SFTRACE_CONFIG['SFTRACE_GLOBAL_LABELS'] += ',_tag_redact_body=true'
note

By default, the value is 'true'.

Customize Document Type and Index​

To customize the Document Type and Index, perform the following steps within the try block of the Settings.py file. (Optional)

  1. Add the below line within the try block in the Settings.py file to customize the Index.
  SFTRACE_CONFIG['SFTRACE_GLOBAL_LABELS'] += ',_tag_IndexType=log'

note

The Index Type is set to Log by default, and the possible values that can be used for this field are Logs and Metrics.

  1. Add the below line within the try block in the Settings.py file to customize the Document Type.
SFTRACE_CONFIG['SFTRACE_GLOBAL_LABELS'] += ',_tag_documentType=user-input'

note

By default, the Document Type is set to user-input.

Complete Configuration

try: 
       
 SFTRACE_CONFIG['SFTRACE_GLOBAL_LABELS'] += ',_tag_redact_body=true'
 SFTRACE_CONFIG['SFTRACE_GLOBAL_LABELS'] += ',_tag_IndexType=log'
 SFTRACE_CONFIG['SFTRACE_GLOBAL_LABELS'] += ',_tag_documentType=user-input'
       
 ELASTIC_APM={ 
    'CAPTURE_BODY': 'all'
 } 
except Exception as error: 
 print("Error while fetching snappyflow tracing configurations", error)

View the Captured Request Body​

Follow the below steps to verify and view the trace data.

  1. Go to the Application tab in SnappyFlow and navigate to your Project > Application > Dashboard.

  2. In the Dashboard window, go to the Log Management section.

  3. Select the Source and Log Type to view logs in the dashboard.

  4. To see the unprocessed data, go to the Browse Data section and select the following details:

    • Index: Metrics
    • Plugin: trace_body
    • Document Type: user_input

FLASK​

Enable Capture Request Body​

Do the following steps in app.py file to enable the Capture Request Body feature.

  1. Add the following key-value pair within the app.config['ELASTIC_APM'] block of the app.py file.
  'CAPTURE_BODY': 'all'
  1. Add the below line within the try block of the app.py file.
SFTRACE_CONFIG['SFTRACE_GLOBAL_LABELS'] += ',_tag_redact_body=true'

note

By default, the value is 'true'.

Customize Document Type and Index​

To customize the Document Type and Index, perform the following steps within the try block of the app.py file. (Optional)

  1. Add the below line within the try block of the app.py file to customize the Index.
SFTRACE_CONFIG['SFTRACE_GLOBAL_LABELS'] += ',_tag_IndexType=log'

note

The Index Type is set to Log by default, and the possible values that can be used for this field are Logs and Metrics.

  1. Add the below line within the try block of the app.py file to customize the Document Type.
SFTRACE_CONFIG['SFTRACE_GLOBAL_LABELS'] += ',_tag_documentType=user-input'

note

By default, the Document Type is set to user-input.


Complete Configuration

SFTRACE_CONFIG['SFTRACE_GLOBAL_LABELS'] += ',_tag_redact_body=true'
SFTRACE_CONFIG['SFTRACE_GLOBAL_LABELS'] += ',_tag_IndexType=log'
SFTRACE_CONFIG['SFTRACE_GLOBAL_LABELS'] += ',_tag_documentType=user-input'
app.config['ELASTIC_APM'] = {
   'CAPTURE_BODY': 'all'
}

View the Captured Request Body​

Follow the below steps to verify and view the trace data.

  1. Go to the Application tab in SnappyFlow and navigate to your Project > Application > Dashboard.

  2. In the Dashboard window, go to the Log Management section.

  3. Select the Source and Log Type to view logs in the dashboard.

  4. To see the unprocessed data, go to the Browse Data section and select the following details:

    • Index: Metrics
    • Plugin: trace_body
    • Document Type: user_input