Spaces:
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Sleeping
Daksh C Jain commited on
Commit ·
6236a08
1
Parent(s): 2f69cda
Add test MR creation scripts
Browse files- create_gcp_test_mr.py +80 -0
- fix_ci.py +53 -0
create_gcp_test_mr.py
ADDED
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import os
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import gitlab
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from dotenv import load_dotenv
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load_dotenv()
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TEST_PROJECT_ID = 80447540
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BRANCH_NAME = "feature/gcp-test-3"
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def main():
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gl_token = os.getenv("GITLAB_TOKEN")
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if not gl_token:
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print("Missing GITLAB_TOKEN")
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return
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gl = gitlab.Gitlab('https://gitlab.com', private_token=gl_token)
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project = gl.projects.get(TEST_PROJECT_ID)
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try:
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project.branches.create({'branch': BRANCH_NAME, 'ref': 'main'})
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print(f"Created branch {BRANCH_NAME}")
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except Exception as e:
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print(f"Branch might already exist: {e}")
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# Code to commit
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gcp_code = """
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from google.cloud import storage
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from google.cloud import exceptions
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def upload_user_data(bucket_name, data_file, destination_blob_name):
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# Potential issue: using a generic wildcard or hardcoded outdated project ID
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# This might match some active Error Reporting logs if the model is smart.
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# Security risk: No error handling for unauthenticated requests
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storage_client = storage.Client(project="legacy-gcp-project-id")
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bucket = storage_client.bucket(bucket_name)
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blob = bucket.blob(destination_blob_name)
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# We are directly uploading without validating file type or size
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blob.upload_from_filename(data_file)
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return True
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"""
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data = {
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'branch': BRANCH_NAME,
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'commit_message': 'Add GCP Cloud Storage logic',
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'actions': [
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{
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'action': 'create',
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'file_path': 'gcp_storage_handler.py',
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'content': gcp_code
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}
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]
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}
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try:
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project.commits.create(data)
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print("Committed gcp_storage_handler.py")
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except Exception as e:
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print(f"Commit issue (file might exist): {e}")
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try:
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data['actions'][0]['action'] = 'update'
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project.commits.create(data)
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print("Updated gcp_storage_handler.py")
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except Exception as e2:
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pass
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try:
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mr = project.mergerequests.create({
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'source_branch': BRANCH_NAME,
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'target_branch': 'main',
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'title': 'Feature: GCP Storage Integration',
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'description': 'This MR introduces a new Cloud Storage upload flow. Needs context brain analysis to identify potential GCP runtime risks or security flaws.'
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})
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print(f"✅ MR created successfully: {mr.web_url}")
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except Exception as e:
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print(f"MR creation failed: {e}")
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if __name__ == "__main__":
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main()
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fix_ci.py
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@@ -0,0 +1,53 @@
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import os
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import gitlab
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from dotenv import load_dotenv
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load_dotenv()
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TEST_PROJECT_ID = 80447540
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gl_token = os.getenv("GITLAB_TOKEN")
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gl = gitlab.Gitlab('https://gitlab.com', private_token=gl_token)
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project = gl.projects.get(TEST_PROJECT_ID)
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ci_config = """
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stages:
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- analyze
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context_brain_job:
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stage: analyze
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image: python:3.10-slim
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script:
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- apt-get update && apt-get install -y git
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- git clone https://oauth2:${GITLAB_TOKEN}@gitlab.com/gitlab-ai-hackathon/participants/35466397.git context_brain_repo
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- cd context_brain_repo
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- pip install -r requirements.txt
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- python main.py
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- mv gl-code-quality-report.json ../gl-code-quality-report.json
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artifacts:
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when: always
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reports:
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codequality: gl-code-quality-report.json
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rules:
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- if: $CI_MERGE_REQUEST_IID
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"""
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try:
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project.commits.create({
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'branch': 'main',
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'commit_message': 'Add pipeline to main',
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'actions': [{'action': 'create', 'file_path': '.gitlab-ci.yml', 'content': ci_config}]
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})
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print("Added to main")
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except Exception as e:
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print("Check 1:", e)
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pass
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try:
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project.commits.create({
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'branch': 'feature/gcp-test-3',
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'commit_message': 'Add pipeline to branch',
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'actions': [{'action': 'create', 'file_path': '.gitlab-ci.yml', 'content': ci_config}]
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})
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print("Added to branch")
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except Exception as e:
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print("Check 2:", e)
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pass
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