mirror of
https://github.com/firmai/financial-machine-learning.git
synced 2026-07-28 03:07:59 +00:00
Bin Yang
82 lines
3.5 KiB
Python
82 lines
3.5 KiB
Python
import os
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from conf import PROJECT_ROOT_DIR
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import re
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import pandas as pd
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from github import Github
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def get_repo_status():
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github_token = os.environ.get('GITHUB_TOKEN')
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g = Github(github_token)
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repo_df = pd.read_csv(os.path.join(PROJECT_ROOT_DIR, 'raw_data', 'url_list.csv'))
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for idx, row in repo_df.iterrows():
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url = row['url']
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if 'https://github.com/' in url:
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print('processing [{}]'.format(url))
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url_query = url.replace('https://github.com/', '')
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url_format = '/'.join(url_query.split('/')[:2])
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try:
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repo = g.get_repo(url_format)
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repo_df.loc[idx, 'last_update'] = repo.updated_at
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repo_df.loc[idx, 'star_count'] = repo.stargazers_count
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repo_df.loc[idx, 'fork_count'] = repo.forks_count
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repo_df.loc[idx, 'contributors_count'] = repo.get_contributors().totalCount
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except Exception as ex:
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print(ex)
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repo_df.loc[idx, 'last_update'] = None
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repo_df.to_csv(os.path.join(PROJECT_ROOT_DIR, 'raw_data', 'url_list.csv'), index=False)
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# @DeprecationWarning
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def parse_readme_md():
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"""
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:return:
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usage:
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>>> df = parse_readme_md()
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>>> df.to_csv(os.path.join(PROJECT_ROOT_DIR, 'raw_data', 'url_list.csv'), index=False)
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"""
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file_path = os.path.join(PROJECT_ROOT_DIR, 'README.md')
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with open(file_path) as f:
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lines = f.readlines()[11:] # skip heading
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all_df_list = []
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for line_num in range(len(lines)):
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line = lines[line_num]
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if line.strip().startswith('#'):
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# find a heading
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heading = line.strip().replace('#', '').replace('\n', '').strip()
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# parse until next # or eof
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parsed_list = []
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line_num += 1
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while line_num < len(lines) and not lines[line_num].strip().startswith('#'):
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link_line = lines[line_num].replace('\n', '').strip()
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if len(link_line) > 0:
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# usually in the format of '- [NAME](link) - comment
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split_sections = link_line.split('- ')
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if len(split_sections) == 2:
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comment_str = None
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elif len(split_sections) >= 3:
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comment_str = '-'.join(split_sections[2:]).strip()
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else:
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raise Exception('link_line [{}] not supported'.format(link_line))
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title_and_link = split_sections[1].strip()
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title = re.search(r'\[(.*?)\]', title_and_link)
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title_str = None
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if title is not None:
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title_str = title.group(1)
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title_and_link = title_and_link.replace('[{}]'.format(title_str), '')
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m_link = re.search(r'\((.*?)\)', title_and_link)
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link_str = None
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if m_link is not None:
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link_str = m_link.group(1)
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parsed_set = (title_str, link_str, comment_str)
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parsed_list.append(parsed_set)
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line_num += 1
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parsed_df = pd.DataFrame(parsed_list, columns=['name', 'url', 'comment'])
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parsed_df['category'] = heading
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all_df_list.append(parsed_df)
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final_df = pd.concat(all_df_list).reset_index(drop=True)
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return final_df
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