Question
Answer and Explanation
Tracking Bitbucket pull request approvals programmatically requires utilizing the Bitbucket API. Here's how you can accomplish this using an application:
1. Authentication:
- First, you need to authenticate your application with Bitbucket. This usually involves creating an OAuth consumer or using personal access tokens. OAuth is the preferred method for applications that need to act on behalf of users.
- Make sure your application has the necessary permissions (scopes) to access pull requests and their approval status.
2. Bitbucket API Endpoint:
- The primary API endpoint you'll be interacting with is the one for retrieving pull requests and their details. The specific endpoint may vary slightly based on whether you are using the Bitbucket Cloud API or the Bitbucket Server API.
- For Bitbucket Cloud, a common endpoint is:
https://api.bitbucket.org/2.0/repositories/{workspace}/{repo_slug}/pullrequests/{pull_request_id}
- For Bitbucket Server (formerly Stash), the endpoint might be similar to:
/rest/api/1.0/projects/{project_key}/repos/{repository_slug}/pull-requests/{pullRequestId}
3. Fetching Pull Request Details:
- Use your application to make GET requests to the appropriate API endpoint for each pull request you want to track.
- The response will include information about the pull request, including its status, reviewers, and their approval status.
4. Parsing the Response:
- Parse the JSON response from the API to extract the relevant data. Look for fields indicating whether each reviewer has approved the pull request.
- For example, in Bitbucket Cloud, you might find reviewer information within the participants array.
5. Example using Python and the `requests` library:
import requests
def get_pull_request_approvals(workspace, repo_slug, pull_request_id, access_token):
url = f"https://api.bitbucket.org/2.0/repositories/{workspace}/{repo_slug}/pullrequests/{pull_request_id}"
headers = {'Authorization': f'Bearer {access_token}'}
response = requests.get(url, headers=headers)
if response.status_code == 200:
data = response.json()
approvals = []
for participant in data.get('participants', []):
if participant['approved']:
approvals.append(participant['user']['display_name'])
return approvals
else:
print(f"Error: {response.status_code}, {response.text}")
return None
# Example Usage:
workspace = "your_workspace"
repo_slug = "your_repo_slug"
pull_request_id = 123
access_token = "YOUR_ACCESS_TOKEN"
approved_by = get_pull_request_approvals(workspace, repo_slug, pull_request_id, access_token)
if approved_by:
print(f"Pull Request approved by: {', '.join(approved_by)}")
else:
print("Could not retrieve approval information.")
6. Webhooks (Optional but Recommended):
- To avoid constantly polling the API, consider using webhooks. Configure Bitbucket to send HTTP POST requests to your application whenever a pull request is created, updated, or approved.
- Your application can then process these webhook events and update its internal state accordingly.
7. Data Storage and Presentation:
- Store the approval status in your application's database or data store. This allows you to easily query and display the information as needed.
- Implement a user interface or reporting system to visualize the pull request approval status.
8. Error Handling:
- Implement proper error handling to manage API rate limits, authentication failures, and other potential issues.
9. Bitbucket API Client Libraries:
- Consider leveraging existing Bitbucket API client libraries for your programming language of choice. These libraries can simplify the authentication process and provide higher-level abstractions for interacting with the API.
By following these steps and adapting the code example to your specific language and framework, you can effectively track Bitbucket pull request approvals with an application.