rmi-backend/scripts/auto_research.py
opencode c762564d40 style(rmi-backend): complete lint cleanup — 1175→0 ruff errors
- Fix 71 invalid-syntax files (class-body newline-broken assignments)
- Add from/None chain to 307 B904 raise-without-from sites
- Add B008 ignore to ruff.toml (already in pyproject.toml)
- Noqa F401 on __init__.py re-exports (137 sites)
- Noqa E402 on deferred imports (63 sites)
- Bulk-add stdlib/FastAPI/project imports for F821 (127 sites)
- Replace ×→x, –→-, …→... in docstrings (4093 chars)
- Manual refactor of 5 SIM103/SIM116 patterns

Tests: 791 passed (66 deselected due to pre-existing Redis issues in test_rag.py)
Co-authored-by: opencode <opencode@rugmunch.io>
2026-07-06 15:43:20 +02:00

168 lines
5.6 KiB
Python

#!/usr/bin/env python3
"""Auto-Research Agent - daily crypto research report. Cron at 7am.
Scans top tokens, identifies 5 most interesting, generates report, publishes to Ghost CMS.
Fully automated: LLM writes → LLM reviews → publishes."""
import asyncio
import json
import os
from datetime import UTC, datetime
import httpx
BACKEND = os.getenv("BACKEND_URL", "http://localhost:8000")
GHOST_URL = os.getenv("GHOST_URL", "http://localhost:2368")
GHOST_KEY = os.getenv("GHOST_ADMIN_KEY", "")
RMI_KEY = os.getenv("RMI_INTERNAL_KEY", "rmi-internal-2026")
OLLAMA = os.getenv("OLLAMA_HOST", "http://localhost:11434")
async def fetch_market_data() -> dict:
"""Gather all market data for the report."""
async with httpx.AsyncClient(timeout=30) as c:
# Top tokens
trending = await c.get(f"{BACKEND}/api/v1/databus/fetch/trending?limit=20", headers={"X-RMI-Key": RMI_KEY})
# Market overview
market = await c.get(f"{BACKEND}/api/v1/databus/fetch/market_overview", headers={"X-RMI-Key": RMI_KEY})
# Fear & Greed
fg = await c.get(f"{BACKEND}/api/v1/databus/fetch/fear_greed", headers={"X-RMI-Key": RMI_KEY})
# News
news = await c.get(f"{BACKEND}/api/v1/databus/fetch/news?limit=10", headers={"X-RMI-Key": RMI_KEY})
return {
"trending": trending.json() if trending.status_code == 200 else {},
"market": market.json() if market.status_code == 200 else {},
"fear_greed": fg.json() if fg.status_code == 200 else {},
"news": news.json() if news.status_code == 200 else {},
}
async def generate_report(market_data: dict) -> str:
"""Use Ollama/LLM to generate a research report."""
context = json.dumps(market_data, default=str)[:3000]
prompt = f"""Write a professional daily crypto research report for RugMunch Intelligence.
Data: {context}
Format:
# RMI Daily Crypto Research - {datetime.now(UTC).strftime("%B %d, %Y")}
## Market Overview
[2-3 sentences on market conditions, fear & greed, top movers]
## Top 5 Tokens to Watch
[For each: symbol, chain, brief analysis, risk level emoji]
## Notable News
[3-5 one-line news items with source]
## Scam Alert of the Day
[If any token shows scam patterns, flag it here]
## Trading Signal
[One actionable signal based on data - BUY/SELL/WATCH/AVOID]
Keep under 500 words. Professional tone. Include data where available."""
try:
async with httpx.AsyncClient(timeout=60) as c:
r = await c.post(
f"{OLLAMA}/api/generate",
json={
"model": "qwen2.5-coder:7b",
"prompt": prompt,
"stream": False,
"options": {"temperature": 0.6, "num_predict": 1024},
},
)
if r.status_code == 200:
return r.json().get("response", "")
except Exception:
pass
# Fallback: basic report from data
return f"""# RMI Daily Crypto Research - {datetime.now(UTC).strftime("%B %d, %Y")}
## Market Overview
Market data unavailable. Please check rugmunch.io for live updates.
## Top 5 Tokens to Watch
DataBus fetch in progress. Real-time scanner available at rugmunch.io/scan.
## Notable News
News aggregation running. Latest headlines at rugmunch.io/news.
## Scam Alert of the Day
SENTINEL scanner active. Recent alerts at rugmunch.io/alerts.
## Trading Signal
No signal generated. Premium subscribers receive automated signals daily.
"""
async def publish_to_ghost(report: str) -> bool:
"""Publish research report to Ghost CMS."""
if not GHOST_KEY:
print("Ghost not configured - report not published")
return False
try:
async with httpx.AsyncClient(timeout=15) as c:
r = await c.post(
f"{GHOST_URL}/ghost/api/admin/posts/?source=html",
json={
"posts": [
{
"title": f"RMI Daily Research - {datetime.now(UTC).strftime('%B %d, %Y')}",
"html": report,
"status": "draft",
"tags": ["daily-research", "crypto"],
}
]
},
headers={"Authorization": f"Ghost {GHOST_KEY}", "Content-Type": "application/json"},
)
return r.status_code in (200, 201)
except Exception as e:
print(f"Ghost publish failed: {e}")
return False
async def main():
print(f"RMI Auto-Research Agent - {datetime.now(UTC).isoformat()}")
print("=" * 60)
# 1. Gather data
print("Gathering market data...")
data = await fetch_market_data()
print(f" Trending: {len(str(data['trending']))} chars")
print(f" Market: {len(str(data['market']))} chars")
print(f" FG: {len(str(data['fear_greed']))} chars")
print(f" News: {len(str(data['news']))} chars")
# 2. Generate report
print("Generating report via Ollama...")
report = await generate_report(data)
# 3. Save locally
report_path = f"/root/backend/reports/{datetime.now(UTC).strftime('%Y-%m-%d')}.md"
os.makedirs(os.path.dirname(report_path), exist_ok=True)
with open(report_path, "w") as f:
f.write(report)
print(f"Report saved: {report_path}")
# 4. Publish to Ghost
if await publish_to_ghost(report):
print("Published to Ghost CMS ✅")
else:
print("Ghost publish skipped (not configured)")
# 5. Summary
lines = report.split("\n")
print(f"\nReport: {len(report)} chars, {len(lines)} lines")
print(report[:300])
if __name__ == "__main__":
asyncio.run(main())