| import requests |
| import time |
| import csv |
| import os |
| import sys |
| import pandas as pd |
|
|
| from github_tokens import init_rest_client_auth |
|
|
| tokens: list[str] = [] |
| authorization_headers: list[dict[str, str]] = [] |
| token_index = 0 |
| last_request_time = {} |
|
|
|
|
| def _ensure_auth() -> None: |
| global tokens, authorization_headers |
| if not tokens: |
| tokens, authorization_headers = init_rest_client_auth() |
|
|
|
|
| def makeRequest(api_url, params): |
| global token_index |
| _ensure_auth() |
| num_tries = 0 |
| max_tries = 3 |
|
|
| while True: |
| num_tries += 1 |
| if num_tries > max_tries: |
| print(' -- Max retries reached. Exiting...', end='') |
| break |
| |
| |
| available_token = None |
| current_time = time.time() |
| for i in range(len(authorization_headers)): |
| if i not in last_request_time or (current_time - last_request_time[i] >= 1): |
| available_token = i |
| break |
| |
| if available_token is None: |
| min_wait = min(last_request_time.values()) + 1 - current_time |
| time.sleep(max(min_wait, 1)) |
| continue |
| |
| token_index = available_token |
| headers = authorization_headers[token_index] |
| last_request_time[token_index] = time.time() |
| |
| while True: |
| try: |
| response = requests.get(api_url, headers=headers, params=params, timeout=30) |
| break |
| except requests.exceptions.RequestException as e: |
| print(f' -- Request error: {e}. Retrying in 60 seconds...', end='') |
| time.sleep(60) |
| except Exception as e: |
| print(f' -- Another request error: {e}. Retrying in 60 seconds...', end='') |
| time.sleep(60) |
|
|
| if response.status_code == 200: |
| return response.json() |
| elif response.status_code == 403 and ('message' in response.json() and 'rate limit' in response.json()['message'].lower()): |
| last_request_time[token_index] = time.time() |
| elif response.status_code == 422 or response.status_code == 401: |
| return None |
| else: |
| print(f' -- Request failed with status code {response.status_code}. Retrying... ' + api_url, end='') |
| time.sleep(1) |
| |
| def search_repo_commits_by_ci_file_path(repo_name, ci_file_path, csv_file, csv_writer): |
| ''' |
| Perform a GitHub Search API query for commits per repository based on the path to a CI configuration file. |
| Write results directly to a file. |
| ''' |
| GITHUB_API_URL = f'https://api.github.com/repos/{repo_name}/commits' |
| page = 1 |
| per_page = 100 |
| num_commits = 0 |
| while True: |
| params = { |
| 'path': ci_file_path, |
| 'per_page': per_page, |
| 'page': page, |
| } |
|
|
| data = makeRequest(GITHUB_API_URL, params) |
|
|
| if not data or len(data) == 0: |
| |
| return num_commits |
|
|
| |
|
|
| for commit in data: |
| num_commits += 1 |
| commit_info = { |
| 'repo_name': repo_name, |
| 'configuration_file': ci_file_path, |
| 'commit_sha': commit['sha'], |
| 'parent_sha': ', '.join([parent['sha'] for parent in commit['parents']]) if commit['parents'] else '', |
| 'commit_message': commit['commit']['message'].lstrip().rstrip().replace('\n', '\\n'), |
| 'author_login': commit['author']['login'] if commit['author'] else '', |
| 'author_name': commit['commit']['author']['name'], |
| 'author_email': commit['commit']['author']['email'], |
| 'author_date': commit['commit']['author']['date'], |
| 'committer_login': commit['committer']['login'] if commit['committer'] else '', |
| 'committer_name': commit['commit']['committer']['name'], |
| 'committer_email': commit['commit']['committer']['email'], |
| 'committer_date': commit['commit']['committer']['date'], |
| 'comment_count': commit['commit']['comment_count'] |
| } |
| csv_writer.writerow(commit_info.values()) |
| csv_file.flush() |
| |
| if len(data) < per_page or page == 10: |
| break |
|
|
| page += 1 |
|
|
| if page == 10 and len(data) == 100: |
| print('[This request has more than 1000 results]') |
| |
| return num_commits |
|
|
| if __name__ == '__main__': |
| last_stopped_repo = 'immu0001/Udacity-Data-Engineer-nanodegree' |
| |
| input_path = f'../Data/all_DE_repositories.csv' |
| commits_output_path = f'../Data/DE_commits_per_ci_files.csv' |
| repos_ci_output_path = f'../Data/DE_ci_services.csv' |
|
|
| ci_file_paths = { |
| |
| '.github/workflows': 'GitHub Actions', |
| '.travis.yml': 'Travis CI', |
| 'circle.yml': 'CircleCI', |
| '.circleci/config.yml': 'CircleCI', |
| '.gitlab-ci.yml': 'GitLab', |
| '.appveyor.yml': 'AppVeyor', |
| 'appveyor.yml': 'AppVeyor', |
| 'azure-pipelines.yml': 'Azure Pipelines', |
| 'bitbucket-pipelines.yml': 'Bitbucket', |
| '.cirrus.yml': 'Cirrus', |
| '.scrutinizer.yml': 'Scrutinizer CI', |
| 'codeship-services.yml': 'Codeship', |
| '.semaphore/semaphore.yml': 'Semaphore', |
| 'wercker.yml': 'Wercker', |
| 'Jenkinsfile': 'Jenkins', |
| 'bitrise.yml': 'Bitrise', |
| 'bamboo.yml': 'Bamboo', |
| '.gocd.yaml': 'GoCD', |
| 'codemagic.yaml': 'Codemagic', |
| } |
|
|
| first_commits_time_csv = True if not os.path.exists(commits_output_path) else False |
| commits_csv_file = open(commits_output_path, 'a', newline='', encoding='utf-8') |
| commits_csv_writer = csv.writer(commits_csv_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) |
| if first_commits_time_csv: |
| commits_csv_writer.writerow(['repo_name', 'language', 'configuration_file', 'commit_sha', 'parent_sha', 'commit_message', 'author_login', 'author_name', 'author_email', 'author_date', 'committer_login', 'committer_name', 'committer_email', 'committer_date', 'comment_count']) |
| commits_csv_file.flush() |
|
|
| first_time_repos_ci_mapping_csv = True if not os.path.exists(repos_ci_output_path) else False |
| repos_ci_csv_file = open(repos_ci_output_path, 'a', newline='', encoding='utf-8') |
| repos_ci_csv_writer = csv.writer(repos_ci_csv_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL) |
| if first_time_repos_ci_mapping_csv: |
| repos_ci_csv_writer.writerow(['repo_name', 'language', 'ci_services_count', 'ci_services_list'] + list(ci_file_paths.keys())) |
| repos_ci_csv_file.flush() |
|
|
| chunksize = 1000 |
| row_id = -1 |
| search_started = False |
| print('Waiting to reach the last repo we stopped at last run...') |
| |
| for repos_df in pd.read_csv(input_path, chunksize=chunksize): |
| for _, repo in repos_df.iterrows(): |
| row_id += 1 |
|
|
| if last_stopped_repo == '' or repo['full_name'] == last_stopped_repo: |
| search_started = True |
| |
| if not search_started: |
| continue |
|
|
| print(f'{row_id+1}: {repo['full_name']}') |
| ci_services_commit_counts = [] |
| ci_services_list = [] |
| for ci_file_path, ci_service_name in ci_file_paths.items(): |
| print(f' -> {ci_file_path} ', end='') |
| num_commits = search_repo_commits_by_ci_file_path(repo['full_name'], ci_file_path, csv_file=commits_csv_file, csv_writer=commits_csv_writer) |
| ci_services_commit_counts.append(num_commits if num_commits > 0 else '') |
| ci_services_list += [ci_service_name] if num_commits > 0 and ci_service_name not in ci_services_list else [] |
| print(f'[{num_commits}]' if num_commits > 0 else '') |
| |
| if len(ci_services_list) > 0: |
| repos_ci_csv_writer.writerow([repo['full_name'], repo['language'], len(ci_services_list), ci_services_list] + ci_services_commit_counts) |
| repos_ci_csv_file.flush() |
|
|
|
|
|
|