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Findings API Client SDK

Project description

NOTE : This repo is planned to be sunset by May 31st 2020, new SDK is available at


This repository contains the released Python client SDK for IBM Cloud Security Advisor Findings API . Check out our API documentation for more details.


Support for Python versions 2.x and versions <= 3.4 is deprecated and will be officially dropped in the next major release, which is expected to be end of December, 2019. Refer


The ibm_security_advisor_findings_api_sdk Python SDK allows developers to programmatically interact with the ibm cloud security advisor findings api


  • An IBM Cloud account.
  • An IAM API key to allow the SDK to access your account. Create one here.
  • An installation of Python >=3.5 on your local machine.


To install, use pip or easy_install:

pip install --upgrade "ibm-cloud-security-advisor-findingsapi-sdk>=2.0.0"


easy_install --upgrade " ibm-cloud-security-advisor-findingsapi-sdk>=2.0.0"


ibm_security_advisor_findings_api_sdk uses token-based Identity and Access Management (IAM) authentication.

IAM authentication uses a service API key to get an access token that is passed with the call. Access tokens are valid for a limited amount of time and must be regenerated.

To provide credentials to the SDK, you supply either an IAM service API key or an access token:

  • Use the API key to have the SDK manage the lifecycle of the access token. The SDK requests an access token, ensures that the access token is valid, and refreshes it if necessary.
  • Use the access token if you want to manage the lifecycle yourself. For details, see Authenticating with IAM tokens.

Supplying the IAM API key:

from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
authenticator = IAMAuthenticator('apikey')
ibm_security_advisor_findings_api_sdk_service =  ibm_security_advisor_findings_api_sdk(authenticator=authenticator)

Generating bearer tokens using the IAM API key:

from  ibm_security_advisor_findings_api_sdk import IAMAuthenticator
# In your API endpoint use this to generate new bearer tokens
iam_token_manager = IAMAuthenticator('<apikey>')
token = iam_token_manager.get_token()

Supplying the access token:

from ibm_security_advisor_findings_api_sdk import FindingsApiV1 
from ibm_cloud_sdk_core.authenticators import BearerTokenAuthenticator
# in the constructor, assuming control of managing the token
authenticator = BearerTokenAuthenticator('your token')
ibm_security_advisor_findings_api_sdk_service =  FindingsApiV1(authenticator=authenticator)

Using the SDK

The ibm_security_advisor_findings_api_sdk Python SDK supports only synchronous (blocking) execution of service methods. The return value from all service methods is a DetailedResponse object. Use this SDK to perform the basic ibm_security_advisor_findings_api_sdk creation operation as follows, with the installation and initialization instructions from above:

from ibm_security_advisor_findings_api_sdk import FindingsApiV1 
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
authenticator = IAMAuthenticator('your apikey')
ibm_security_advisor_findings_api_sdk_data =  FindingsApiV1(authenticator=authenticator)
response =  ibm_security_advisor_findings_api_sdk_data.<Method here<>>

This would give an output of DetailedResponse from which you can use the get_result(), get_headers(), and get_status_code() to return the result, headers, and status code respectively.

Sending request headers

Custom headers can be passed in any request in the form of a dict as:

headers = {
'Custom-Header': 'custom_value'

For example, to send a header called Custom-Header to a call in ibm_security_advisor_findings_api_sdk, pass the headers parameter as:

from ibm_security_advisor_findings_api_sdk import FindingsApiV1 
from ibm_cloud_sdk_core.authenticators import IAMAuthenticator
authenticator = IAMAuthenticator('your apikey')
ibm_security_advisor_findings_api_sdk_service =  FindingsApiV1(authenticator=authenticator)
response = ibm_security_advisor_findings_api_sdk_service.<<METHOD HERE>>(headers={'Custom-Header': 'custom_value'}).get_result()

Error Handling

The ibm_security_advisor_findings_api_sdk Python SDK generates an exception for any unsuccessful method invocation. If the method receives an error response from an API call to the service, it will generate an ApiException with the following fields.

code The HTTP response code that is returned.
message A message that describes the error.
info A dictionary of additional information about the error.

ApiException can be handled this way.

from ibm_cloud_sdk_core.api_exception import ApiException
    response = ibm_security_advisor_findings_api_sdk.create_note(
        account_id="<<Account ID here>>",
except ApiException as err:
        # err.code  gives status code
        excep_resp = err.http_response.json()

excep_resp would be-

  "detail": "Document already exists: abc/providers/sdktest/notes/sdk_note_id1",
  "instance": "abc/providers/sdktest/notes/sdk_note_id1",
  "status": 409,
  "title": "Conflict",
  "type": "about:blank"

Error log level

By default, error log level is disabled, so user will not see any error/exception logged by logger.error and logger.exception but will see other error/exception. To enable it, user can pass enable_error_log=True .

ibm_security_advisor_findings_api_sdk =FindingsApiV1(authenticator=authenticator,enable_error_log=True)

Sample Code

Example http method
post_graph POST /v1/{account_id}/graph
list_providers GET /v1/{account_id}/providers
create_finding POST /v1/{account_id}/providers/{provider_id}/notes
create_card POST /v1/{account_id}/providers/{provider_id}/notes
create_note_with_kpi POST /v1/{account_id}/providers/{provider_id}/notes
create_note_with_reporter POST /v1/{account_id}/providers/{provider_id}/notes
create_note_with_section POST /v1/{account_id}/providers/{provider_id}/notes
list_notes GET /v1/{account_id}/providers/{provider_id}/notes
delete_note DELETE /v1/{account_id}/providers/{provider_id}/notes/{note_id}
create_occurrence POST /v1/{account_id}/providers/{provider_id}/occurrences
create_occurrence_with_context POST /v1/{account_id}/providers/{provider_id}/occurrences
create_occurrence_with_kpi POST /v1/{account_id}/providers/{provider_id}/occurrences
list_occurrences GET /v1/{account_id}/providers/{provider_id}/occurrences
delete_occurrence DELETE /v1/{account_id}/providers/{provider_id}/occurrences/{occurrence_id}
list_note_occurrences GET /v1/{account_id}/providers/{provider_id}/notes/{note_id}/occurrences


See Findings API doc.

Integration test

To run pytest, create virtual env and then run. Otherwise you might see below error

issue -

test/integration/ in <module>
    from ibm_security_advisor_findings_api_sdk import FindingsApiV1
   ModuleNotFoundError: No module named 'ibm_security_advisor_findings_api_sdk'
  1. Install dev modules.
    python3 -m venv env  #(for python3)
    source env/bin/activate
    cd security-advisor-findings-sdk-python
    pip install -r requirements-dev.txt
  2. Prereq variables, either by exporting all the variables directly or provide in file- Make sure API_KEY has enough permission to perform findings api operations.
    • export env vars
        export API_KEY=<YOUR_API_KEY>
        #optional. Use it for dev/preprod iam endpoint
    • provide in /integration/input/cred/ibm-credentials.env file or export your own .env credential file with full path including filename.
        export IBM_CREDENTIALS_FILE= <file_path>
  3. To run test-
python -m pytest test/integration --html=report.html --json-report --json-report-summary

Once run is completed, html report and .report.json will be generated in the same directory and it will look like this

Integration Test result


The ibm_security_advisor_findings_api_sdk Python SDK is released under the Apache 2.0 license. The license's full text can be found in LICENSE.

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