mirror of
https://github.com/nubenetes/awesome-kubernetes.git
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4e87c248fd
- Add 26-category news digest engine (src/news_digest.py) with Gemini AI ranking for 3/6/12 month temporal panels across tech, cloud, and geo categories - Add discovered_at, company, geo_region fields to inventory schema with backfill script populating 18K+ existing entries - Fix critical v2-mkdocs.yml bug: plugins were nested under theme (silently disabled) - Add MkDocs Material features: instant nav, breadcrumbs, footer, announce bar - Add trending cards CSS grid and replace Agentic Pulse with dynamic Trending Now - Generate tech-digest.md and industry-digest.md with tabbed 3/6/12 month views - Merge 12 stub pages (<40 lines each) into parent categories with redirects - Replace 50 bare except:pass patterns with contextual logging across all pipeline files - Expand autonomous discovery from 6 to 14 GitHub search queries - Add stale health re-check for online entries older than 30 days - Track addition_method by source type (rss, twitter, github_trending) - Add digest generation step to CI publish workflow Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
91 lines
3.5 KiB
Python
91 lines
3.5 KiB
Python
import aiohttp
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import json
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import httpx
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import re
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from src.config import GEMINI_API_KEY, NUBENETES_CATEGORIES, GH_TOKEN
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from src.gemini_utils import call_gemini_with_retry
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from src.logger import log_event
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async def fetch_github_trending_cloud_native() -> list[dict]:
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queries = [
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"topic:kubernetes+stars:>1000",
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"topic:mcp-server+stars:>0",
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"topic:model-context-protocol+stars:>0",
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"topic:ai-agents+stars:>50",
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"awesome+stars:>1000",
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"topic:generative-ai+stars:>500",
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"topic:devops+stars:>500",
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"topic:observability+stars:>200",
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"topic:cloud-security+stars:>200",
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"topic:terraform+stars:>500",
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"topic:database+stars:>500",
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"topic:cicd+stars:>200",
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"topic:service-mesh+stars:>100",
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"topic:platform-engineering+stars:>100",
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]
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all_repos = []
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headers = {'Accept': 'application/vnd.github.v3+json'}
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if GH_TOKEN:
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headers['Authorization'] = f'token {GH_TOKEN}'
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async with aiohttp.ClientSession(headers=headers) as session:
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for q in queries:
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url = f"https://api.github.com/search/repositories?q={q}&sort=updated&order=desc"
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try:
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async with session.get(url, timeout=10) as resp:
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if resp.status == 200:
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data = await resp.json()
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for repo in data.get('items', [])[:10]:
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all_repos.append({
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"name": repo['name'],
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"url": repo['html_url'],
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"desc": repo['description'] or "No description provided."
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})
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except Exception as e:
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log_event(f"[WARN] GitHub search query '{q}': {str(e)[:100]}")
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continue
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return all_repos
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async def discover_trending_assets() -> list[dict]:
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repos = await fetch_github_trending_cloud_native()
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if not repos:
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return []
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# Intentar clasificar con Gemini vía REST
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prompt = (
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"Analiza estos repositorios y selecciona los 4 mejores.\n"
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f"Categorías: {', '.join(NUBENETES_CATEGORIES)}\n"
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f"Repos: {json.dumps(repos)}\n\n"
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"Responde SOLAMENTE una lista JSON: [{\"title\": \"...\", \"url\": \"...\", \"description\": \"...\", \"category\": \"...\"}]"
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)
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try:
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results = await call_gemini_with_retry(prompt, prefer_flash=True)
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if isinstance(results, list):
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return [res for res in results if res.get("category") in NUBENETES_CATEGORIES]
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except Exception as e:
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print(f"[~] Gemini REST falló, usando clasificación heurística: {e}")
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# --- FALLBACK HEURÍSTICO (Si Gemini falla) ---
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fallback_results = []
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for r in repos[:5]:
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category = "kubernetes-tools" # Default
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desc_lower = r['desc'].lower()
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name_lower = r['name'].lower()
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if "mcp" in desc_lower or "context-protocol" in desc_lower or "mcp" in name_lower:
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category = "ai-agents-mcp"
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elif "awesome" in name_lower:
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category = "other-awesome-lists"
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elif "ai" in desc_lower or "agent" in desc_lower:
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category = "ai"
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elif "security" in desc_lower:
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category = "kubernetes-security"
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fallback_results.append({
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"title": r['name'],
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"url": r['url'],
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"description": r['desc'],
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"category": category
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})
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return fallback_results
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