[紫薇六大资产·代码资产] gh_trending_scanner.py

#!/usr/bin/env python3
“”“GitHub Trending AI Scanner - Fetches top repos, READMEs, and generates daily report.”““
import json, os, re, sys, time, urllib.request, urllib.error
from datetime import datetime

HOME = os.environ[‘HOME’]
OUTPUT_DIR = os.path.join(HOME, ‘.hermes’, ‘掠夺资产’, ‘流量情报’, ‘github_daily’)
LOG_FILE = os.path.join(HOME, ‘.hermes’, ‘logs’, ‘task_exec.log’)
ERR_FILE = os.path.join(HOME, ‘.hermes’, ‘logs’, ‘task_error.log’)
MAX_RETRIES = 3
RETRY_DELAY = 60

def log(msg, level=“INFO”):
ts = datetime.now().strftime(’%Y-%m-%d %H:%M:%S’)
line = f“[{ts}] [T001] [{level}] {msg}“
with open(LOG_FILE, ‘a’, encoding=‘utf-8’) as f:
f.write(line + ‘\n’)
print(line)

def fetch_json(url, retries=2):
for attempt in range(retries + 1):
try:
req = urllib.request.Request(url, headers={
‘Accept’: ‘application/vnd.github.v3+json’,
‘User-Agent’: ‘Hermes-Agent/1.0’
})
with urllib.request.urlopen(req, timeout=20) as resp:
return json.loads(resp.read().decode())
except Exception as e:
if attempt < retries:
time.sleep(3)
else:
raise e

def fetch_text(url, retries=2):
for attempt in range(retries + 1):
try:
req = urllib.request.Request(url, headers={
‘Accept’: ‘application/vnd.github.v3.raw’,
‘User-Agent’: ‘Hermes-Agent/1.0’
})
with urllib.request.urlopen(req, timeout=20) as resp:
text = resp.read().decode(‘utf-8’, errors=‘replace’)
return text[:5000] # First 5000 chars of README
except Exception as e:
if attempt < retries:
time.sleep(3)
else:
return f“[README fetch failed: {e}]“

def extract_tech_stack(readme, topics, language):
“”“Extract tech stack hints from README and topics.”““
stack = set()
stack.add(language)

# Check for common tech indicators
indicators = {
    'Python': ['python', 'pytorch', 'tensorflow', 'fastapi', 'flask', 'django', 'jupyter', 'numpy', 'pandas'],
    'JavaScript': ['javascript', 'node', 'react', 'vue', 'next', 'express', 'typescript'],
    'TypeScript': ['typescript', 'next.js', 'react', 'vue', 'node', 'bun', 'deno'],
    'Rust': ['rust', 'cargo', 'wasm', 'tokio', 'actix'],
    'Go': ['golang', 'gin', 'echo', 'fiber'],
    'Java': ['java', 'spring', 'maven', 'gradle', 'kotlin'],
    'C++': ['c++', 'cmake', 'cpp', 'cuda'],
    'C#': ['c#', '.net', 'dotnet', 'asp.net', 'blazor'],
    'Lua': ['lua', 'openresty', 'nginx'],
    'HTML': ['html', 'css', 'tailwind', 'bootstrap'],
}

readme_lower = readme.lower()
for lang, keywords in indicators.items():
    for kw in keywords:
        if kw in readme_lower or kw in [t.lower() for t in topics]:
            stack.add(kw)

# Add topics
for t in topics:
    stack.add(t)

return sorted(stack)

def extract_architecture(readme, description, topics):
“”“Extract architectural insights from README.”““
patterns = {
‘Microservices’: [‘microservice’, ‘service mesh’, ‘distributed’],
‘Event-Driven’: [‘event-driven’, ‘event bus’, ‘message queue’, ‘pub/sub’, ‘kafka’, ‘rabbitmq’],
‘REST API’: [‘rest api’, ‘restful’, ‘http api’, ‘openapi’],
‘GraphQL’: [‘graphql’],
‘gRPC’: [‘grpc’, ‘protobuf’],
‘Plugin System’: [‘plugin’, ‘extension’, ‘middleware’],
‘Serverless’: [‘serverless’, ‘lambda’, ‘faas’],
‘Agent Architecture’: [‘agent’, ‘autonomous’, ‘multi-agent’, ‘agentic’],
‘Vector DB’: [‘vector’, ‘embedding’, ‘chromadb’, ‘pinecone’, ‘weaviate’, ‘qdrant’, ‘milvus’],
‘RAG’: [‘rag’, ‘retrieval-augmented’, ‘retrieval augmented’],
‘LLM Gateway’: [‘gateway’, ‘llm proxy’, ‘model router’],
‘Pipeline’: [‘pipeline’, ‘workflow’, ‘dag’],
‘Container’: [‘docker’, ‘kubernetes’, ‘container’],
}

arch = []
text = (description + ' ' + readme + ' ' + ' '.join(topics)).lower()

for pattern, keywords in patterns.items():
    for kw in keywords:
        if kw in text:
            arch.append(pattern)
            break

return list(set(arch)) if arch else ['General Purpose']

def main():
os.makedirs(OUTPUT_DIR, exist_ok=True)
os.makedirs(os.path.dirname(LOG_FILE), exist_ok=True)

log("GitHub Trending日度扫描任务启动")
today = datetime.now().strftime('%Y%m%d')
today_display = datetime.now().strftime('%Y年%m月%d日')

# Step 1: Search for top AI repos (multiple queries for broader coverage)
queries = [
    ('topic:artificial-intelligence+stars:>1000+pushed:>2026-06-16', 'stars'),
    ('topic:llm+stars:>500+pushed:>2026-06-16', 'stars'),
    ('topic:ai-agent+stars:>200+pushed:>2026-06-16', 'stars'),
]

all_repos = {}

for query, sort in queries:
    try:
        url = f"https://api.github.com/search/repositories?q={query}&sort={sort}&order=desc&per_page=25"
        data = fetch_json(url)
        for item in data.get('items', []):
            fid = item['full_name']
            if fid not in all_repos:
                all_repos[fid] = item
    except Exception as e:
        log(f"API查询失败 ({query}): {e}", "WARN")

log(f"共发现 {len(all_repos)} 个候选仓库")

# Sort by stars and take top 20
sorted_repos = sorted(all_repos.values(), key=lambda x: x['stargazers_count'], reverse=True)[:20]

log(f"筛选Top 20，开始获取README")

# Step 2: Fetch README for each repo
report_items = []
for i, repo in enumerate(sorted_repos):
    full_name = repo['full_name']
    stars = repo['stargazers_count']
    language = repo.get('language', 'N/A') or 'N/A'
    description = repo.get('description', '') or '无描述'
    url = repo['html_url']

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