Files
awesome-quant/parse.py
T

117 lines
3.0 KiB
Python

import os
import re
import pandas as pd
from threading import Thread
from github import Auth, Github
# using an access token
auth = Auth.Token(os.environ["GITHUB_ACCESS_TOKEN"])
g = Github(auth=auth)
def extract_repo(url):
reu = re.compile(r"^https://github.com/([\w-]+/[-\w\.]+)$")
m = reu.match(url)
if m:
return m.group(1)
else:
return ""
def extract_github_url(description):
"""Extract GitHub URL from description if present."""
# Look for [GitHub](https://github.com/...) pattern
github_pattern = re.compile(r"\[GitHub\]\((https://github\.com/[\w-]+/[-\w\.]+)\)")
m = github_pattern.search(description)
if m:
return m.group(1)
return ""
def get_last_commit(repo):
try:
if repo:
r = g.get_repo(repo)
cs = r.get_commits()
return cs[0].commit.author.date.strftime("%Y-%m-%d")
else:
return ""
except:
print("ERROR " + repo)
return "error"
class Project(Thread):
def __init__(self, match, section):
super().__init__()
self._match = match
self.regs = None
self._section = section
def run(self):
m = self._match
primary_url = m.group(2)
description = m.group(3)
# Check if primary URL is GitHub
is_github = "github.com" in primary_url
# If not GitHub, check if there's a GitHub link in the description
github_url = ""
if not is_github:
github_url = extract_github_url(description)
else:
github_url = primary_url
is_cran = "cran.r-project.org" in primary_url
repo = extract_repo(github_url)
print(repo)
last_commit = get_last_commit(repo)
self.regs = dict(
project=m.group(1),
section=self._section,
last_commit=last_commit,
url=primary_url,
description=description,
github=is_github or bool(github_url),
cran=is_cran,
repo=repo,
)
projects = []
with open("README.md", "r", encoding="utf8") as f:
ret = re.compile(r"^(#+) (.*)$")
rex = re.compile(r"^\s*- \[(.*)\]\((.*)\) - (.*)$")
m_titles = []
last_head_level = 0
for line in f:
m = rex.match(line)
if m:
p = Project(m, " > ".join(m_titles[1:]))
p.start()
projects.append(p)
else:
m = ret.match(line)
if m:
hrs = m.group(1)
if len(hrs) > last_head_level:
m_titles.append(m.group(2))
else:
for n in range(last_head_level - len(hrs) + 1):
m_titles.pop()
m_titles.append(m.group(2))
last_head_level = len(hrs)
while True:
checks = [not p.is_alive() for p in projects]
if all(checks):
break
projects = [p.regs for p in projects]
df = pd.DataFrame(projects)
df.to_csv("site/projects.csv", index=False)
# df.to_markdown('projects.md', index=False)