feat(domains): consolidate bulletin, intelligence, markets, admin, referral, mcp + mypy gate

- Make app/domains/auth/ and app/core/redis.py mypy-clean under strict.
- Add mypy-gate.ini and Makefile mypy-gate target; promote typecheck-gate in CI.
- Consolidate domains into app/domains/: bulletin, admin, intelligence, markets.
- Extract referral domain incl. DeFi partner DEX ref links; keep Telegram bot wired.
- Move app/mcp/ package and app/api/v1/mcp/router into app/domains/mcp/.
- Archive dead app/mcp_router.py.
This commit is contained in:
Crypto Rug Munch 2026-07-07 16:43:49 +07:00
parent 436bc37767
commit 0a8c73d99b
65 changed files with 5541 additions and 5069 deletions

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@ -12,8 +12,8 @@ on:
# #
# Phase 1 of AUDIT-2026-Q3.md item P1.6: # Phase 1 of AUDIT-2026-Q3.md item P1.6:
# - CI was 6/8 decorative (|| true / continue-on-error: true on every job) # - CI was 6/8 decorative (|| true / continue-on-error: true on every job)
# - Now: 2 GATING jobs (build + test) must pass for merge # - Now: 3 GATING jobs (build + test + typecheck-gate) must pass for merge
# - 6 INFORMATIONAL jobs (lint-info, typecheck-info, etc.) report but never gate # - 6 INFORMATIONAL jobs (lint-info, typecheck-full-info, etc.) report but never gate
# - Forgejo .forgejo/workflows/ci.yml remains the authoritative gate # - Forgejo .forgejo/workflows/ci.yml remains the authoritative gate
jobs: jobs:
@ -61,6 +61,21 @@ jobs:
2>&1 | tail -50 2>&1 | tail -50
# NO || true — failure GATES merge # NO || true — failure GATES merge
typecheck-gate:
name: Typecheck scoped gate (gate)
needs: build
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: astral-sh/setup-uv@v2
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- name: Install project editable
run: uv pip install --system -e ".[dev]"
- name: Run scoped mypy gate
run: make mypy-gate
# ────────────────────────── INFORMATIONAL JOBS (fire-and-forget) ────────────────────────── # ────────────────────────── INFORMATIONAL JOBS (fire-and-forget) ──────────────────────────
lint-info: lint-info:
@ -79,8 +94,8 @@ jobs:
- name: Run ruff lint (informational) - name: Run ruff lint (informational)
run: ruff check . --statistics --output-format=concise 2>&1 | tail -30 || true run: ruff check . --statistics --output-format=concise 2>&1 | tail -30 || true
typecheck-info: typecheck-full-info:
name: Typecheck (info only) name: Typecheck full codebase (info only)
if: always() if: always()
runs-on: ubuntu-latest runs-on: ubuntu-latest
continue-on-error: true continue-on-error: true
@ -93,7 +108,7 @@ jobs:
- name: Install mypy - name: Install mypy
run: uv pip install --system mypy run: uv pip install --system mypy
- name: Run mypy typecheck (informational) - name: Run mypy typecheck (informational)
run: mypy app/ --config-file mypy.ini || true run: make typecheck || true
security-info: security-info:
name: Security (info only) name: Security (info only)

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@ -1,4 +1,4 @@
.PHONY: help install dev build lint format check test typecheck security ci clean .PHONY: help install dev build lint format check test test-all security ci clean mypy-gate typecheck-gate
help: ## Show this help help: ## Show this help
@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | awk 'BEGIN {FS = ":.*?## "}; {printf " \033[36m%-20s\033[0m %s\n", $$1, $$2}' @grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | awk 'BEGIN {FS = ":.*?## "}; {printf " \033[36m%-20s\033[0m %s\n", $$1, $$2}'
@ -27,8 +27,14 @@ check: ## Full check: lint + format + typecheck + test
mypy app/ --ignore-missing-imports mypy app/ --ignore-missing-imports
pytest tests/ -x -q -m "not integration" pytest tests/ -x -q -m "not integration"
typecheck: ## MyPy type check typecheck: ## MyPy type check (full codebase, informational)
mypy app/ --ignore-missing-imports mypy app/ --config-file mypy.ini
mypy-gate: ## MyPy gate for clean modules (authoritative)
mypy app/domains/auth/ app/core/redis.py --config-file mypy-gate.ini
typecheck-gate: ## Alias for mypy-gate
$(MAKE) mypy-gate
test: ## Run tests (non-integration) test: ## Run tests (non-integration)
pytest tests/ -x -q -m "not integration" pytest tests/ -x -q -m "not integration"
@ -43,7 +49,7 @@ security: ## Security audit
ci: ## Full CI pipeline ci: ## Full CI pipeline
ruff check app/ tests/ ruff check app/ tests/
ruff format --check app/ tests/ ruff format --check app/ tests/
mypy app/ --ignore-missing-imports $(MAKE) mypy-gate
pytest tests/ -x -q -m "not integration" pytest tests/ -x -q -m "not integration"
clean: ## Remove build artifacts clean: ## Remove build artifacts

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@ -1,370 +1,8 @@
"""Deprecated shim - re-exports app.domains.intelligence.alert_pipeline.
Migrate imports from `app.alert_pipeline` to `app.domains.intelligence.alert_pipeline`.
This shim will be removed in Phase 3 cleanup.
""" """
RMI Alert Pipeline - Real-time threat intelligence from scanners. from __future__ import annotations
=================================================================
Feeds the Live Intel panel, WebSocket streams, and alert endpoints.
Data sources: from app.domains.intelligence.alert_pipeline import * # noqa: F403
- SENTINEL scanner (risk scores, scam detection)
- GoPlus security API (honeypot, tax, proxy checks)
- DexScreener new pairs (fresh launches to scan)
- Our own RAG scam patterns
- Wallet label cross-references
Alert flow:
Scanner alert_pipeline.push_alert() Redis sorted set + pub/sub
Homepage reads from /api/v1/alerts/recent
Sidebar reads from /api/v1/alerts/count
WebSocket streams to connected clients
"""
import json
import logging
import os
import time
from datetime import UTC, datetime
logger = logging.getLogger("alert_pipeline")
REDIS_HOST = os.getenv("REDIS_HOST", "rmi-redis")
REDIS_PORT = int(os.getenv("REDIS_PORT", "6379"))
REDIS_PW = os.getenv("REDIS_PASSWORD", "")
ALERT_KEY = "rmi:alerts:recent"
ALERT_COUNT_KEY = "rmi:alerts:count:active"
ALERT_MAX = 500 # Keep last 500 alerts
async def _get_redis():
"""Get async Redis connection."""
import redis.asyncio as aioredis
return aioredis.Redis(
host=REDIS_HOST,
port=REDIS_PORT,
password=REDIS_PW or None,
decode_responses=True,
)
async def get_active_alert_count() -> int:
"""Get count of active (unacknowledged) alerts."""
try:
r = await _get_redis()
count = await r.zcard(ALERT_KEY)
await r.close()
return count
except Exception as e:
logger.debug(f"Alert count error: {e}")
return 0
async def push_alert(
alert_type: str,
title: str,
description: str = "",
severity: str = "high",
chain: str = "unknown",
token: str = "",
token_symbol: str = "",
wallet: str = "",
risk_score: int = 0,
metadata: dict | None = None,
) -> str:
"""
Push a new alert to the pipeline.
Returns alert_id.
"""
alert_id = f"alt_{int(time.time())}_{os.urandom(4).hex()}"
alert = {
"id": alert_id,
"type": alert_type,
"title": title,
"description": description,
"severity": severity,
"chain": chain,
"token": token,
"token_symbol": token_symbol,
"wallet": wallet,
"risk_score": risk_score,
"acknowledged": False,
"created_at": datetime.now(UTC).isoformat(),
**(metadata or {}),
}
try:
r = await _get_redis()
score = time.time()
await r.zadd(ALERT_KEY, {json.dumps(alert): score})
# Trim old alerts
await r.zremrangebyrank(ALERT_KEY, 0, -(ALERT_MAX + 1))
# Pub/sub for WebSocket streaming
await r.publish("rmi:ws:alerts", json.dumps(alert))
await r.close()
logger.info(f"Alert pushed: {alert_type} | {title[:60]}")
except Exception as e:
logger.error(f"Failed to push alert: {e}")
return alert_id
async def get_recent_alerts(limit: int = 20, severity: str = "") -> list[dict]:
"""Get recent alerts with optional severity filter. Normalizes old/new formats."""
try:
r = await _get_redis()
raw = await r.zrevrange(ALERT_KEY, 0, limit * 2 - 1)
await r.close()
alerts = []
for entry in raw:
try:
alert = json.loads(entry)
# Normalize old alert format to new
if "title" not in alert:
alert["title"] = alert.get("message", alert.get("event", "Unknown alert"))
if "description" not in alert:
desc_parts = []
if alert.get("symbol"):
desc_parts.append(f"Token: {alert['symbol']}")
if alert.get("risk_score"):
desc_parts.append(f"Risk: {alert['risk_score']}/100")
flags = alert.get("risk_flags", [])
if flags:
desc_parts.append("; ".join(str(f)[:80] for f in flags[:2]))
alert["description"] = " | ".join(desc_parts)
if "severity" not in alert:
score = alert.get("risk_score", 50)
alert["severity"] = "critical" if score >= 85 else "high" if score >= 65 else "medium"
if "chain" not in alert:
alert["chain"] = alert.get("chain", "unknown")
if severity and alert.get("severity") != severity:
continue
alerts.append(alert)
if len(alerts) >= limit:
break
except json.JSONDecodeError:
pass
return alerts
except Exception as e:
logger.error(f"get_recent_alerts error: {e}")
return []
# ── Alert generators - called by cron jobs or on-demand ──────────
async def scan_solana_new_pairs(limit: int = 5) -> int:
"""
Scan latest Solana pairs from DexScreener for scam patterns.
Pushes alerts for high-risk tokens.
Returns number of alerts generated.
"""
import httpx
pushed = 0
try:
async with httpx.AsyncClient(timeout=15) as client:
resp = await client.get("https://api.dexscreener.com/latest/dex/search", params={"q": "SOL USDC"})
if resp.status_code != 200:
return 0
data = resp.json()
pairs = data.get("pairs", [])[:limit]
for pair in pairs:
token_addr = pair.get("baseToken", {}).get("address", "")
token_name = pair.get("baseToken", {}).get("name", "Unknown")
token_symbol = pair.get("baseToken", {}).get("symbol", "???")
liquidity = float(pair.get("liquidity", {}).get("usd", 0) or 0)
volume = float(pair.get("volume", {}).get("h24", 0) or 0)
price_change = float(pair.get("priceChange", {}).get("h24", 0) or 0)
created_at = pair.get("pairCreatedAt", 0)
age_hours = (time.time() - created_at / 1000) / 3600 if created_at else 999
# Risk heuristics
risk_flags = []
if liquidity < 1000:
risk_flags.append("low_liquidity")
if volume == 0:
risk_flags.append("no_volume")
if price_change < -80:
risk_flags.append(f"crashed_{abs(price_change):.0f}%")
if age_hours < 1 and liquidity < 5000:
risk_flags.append("fresh_launch_low_liq")
if price_change > 500:
risk_flags.append(f"pumped_{price_change:.0f}%")
if risk_flags:
await push_alert(
alert_type="new_pair_risk",
title=f"{token_symbol}: {' | '.join(risk_flags[:2])}",
description=f"New pair {token_name} ({token_symbol}) on Solana. "
f"Liquidity: ${liquidity:,.0f}, Age: {age_hours:.1f}h, "
f"24h change: {price_change:+.1f}%",
severity="critical" if len(risk_flags) >= 3 else "high",
chain="solana",
token=token_addr,
token_symbol=token_symbol,
risk_score=min(90, len(risk_flags) * 25),
metadata={
"risk_flags": risk_flags,
"liquidity_usd": liquidity,
"age_hours": age_hours,
},
)
pushed += 1
return pushed
except Exception as e:
logger.warning(f"Solana scan error: {e}")
return pushed
async def scan_known_scams(limit: int = 3) -> int:
"""
Check our RAG known_scams collection for recently added entries.
Pushes alerts for new scam patterns detected.
"""
pushed = 0
try:
r = await _get_redis()
# Check for recent scam pattern additions
scam_ids = await r.smembers("rag:idx:known_scams")
recent_count = 0
for sid in list(scam_ids)[:20]:
doc = await r.get(f"rag:known_scams:{sid}")
if doc:
try:
data = json.loads(doc)
added = data.get("metadata", {}).get("added_at", "")
if added:
age_h = (time.time() - datetime.fromisoformat(added.replace("Z", "+00:00")).timestamp()) / 3600
if age_h < 24:
recent_count += 1
except Exception:
pass
await r.close()
if recent_count > 0:
await push_alert(
alert_type="scam_pattern_update",
title=f"{recent_count} new scam patterns detected in last 24h",
description="New rug pull, honeypot, or phishing patterns added to the knowledge base.",
severity="high",
chain="multi",
risk_score=85,
)
pushed += 1
return pushed
except Exception as e:
logger.warning(f"Known scams scan error: {e}")
return pushed
async def run_alert_scan() -> dict[str, int]:
"""
Run a full alert scan across all sources.
Called by cron job every 15 minutes.
"""
results = {}
# Scan Solana new pairs
results["solana_pairs"] = await scan_solana_new_pairs(limit=8)
# Scan known scams
results["known_scams"] = await scan_known_scams()
total = sum(results.values())
logger.info(f"Alert scan complete: {total} new alerts ({results})")
return results
# ── Seed some initial alerts if Redis is empty ────────────────────
async def seed_initial_alerts():
"""Seed baseline alerts so the system isn't empty on first run."""
r = await _get_redis()
existing = await r.zcard(ALERT_KEY)
await r.close()
if existing > 0:
return # Already has alerts
seeds = [
(
"honeypot",
"Honeypot detected on Base: 0xdead...",
"Token has sell restrictions and blacklist. Buyers cannot exit.",
"critical",
"base",
),
(
"whale",
"Whale moved 5M USDC to Binance",
"Wallet 0xABCD... transferred $5M USDC to Binance hot wallet. Possible sell pressure.",
"high",
"ethereum",
),
(
"rugpull",
"Liquidity removed from $SCAM token",
"100% of liquidity pool withdrawn by deployer. Token is now worthless.",
"critical",
"solana",
),
(
"bundler",
"Sniper bundle detected: $NEWLAUNCH",
"Coordinated wallet cluster bought 60% of supply in first block.",
"high",
"solana",
),
(
"contract",
"Unverified proxy contract found",
"Token uses upgradeable proxy with unverified implementation. Owner can change logic.",
"high",
"base",
),
(
"concentration",
"90% supply held by 3 wallets on $DANGER",
"Extreme holder concentration. Classic rug pull setup.",
"critical",
"ethereum",
),
(
"wash_trade",
"Wash trading detected on $FAKEVOL",
"95% of volume is self-trading between linked wallets.",
"high",
"bsc",
),
(
"phishing",
"Fake airdrop targeting $BONK holders",
"Phishing site detected posing as official BONK airdrop. Users losing funds.",
"critical",
"solana",
),
]
for alert_type, title, desc, severity, chain in seeds:
await push_alert(
alert_type=alert_type,
title=title,
description=desc,
severity=severity,
chain=chain,
)
logger.info(f"Seeded {len(seeds)} initial alerts")

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@ -1,4 +1,10 @@
"""MCP v1 routes.""" """Deprecated shim - MCP router moved to app.domains.mcp.router.
from .router import router
Migrate imports from `app.api.v1.mcp` to `app.domains.mcp`.
This shim will be removed in Phase 3 cleanup.
"""
from __future__ import annotations
from app.domains.mcp.router import router
__all__ = ["router"] __all__ = ["router"]

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@ -1,903 +1,21 @@
"""Deprecated shim - re-exports app.domains.bulletin.
Migrate imports from `app.bulletin_board` to `app.domains.bulletin`.
This shim will be removed in Phase 3 cleanup.
""" """
RMI Bulletin Board Management System
=====================================
A full content management backend for announcements, news, alerts, platform
communications, and community bulletin boards.
Features:
Posts - CRUD with rich text, attachments, scheduling, expiry
Categories - organize by type (news, alert, update, promo, system)
Targeting - audience segmentation (all, free, premium, admins, specific tiers)
Moderation - draft/review/published/archived workflow, approval chains
Pinning - sticky posts, priority ordering
Analytics - views, clicks, engagement tracking per post
Comments - threaded discussions on posts (optional)
Notifications - push/email/Telegram alerts for critical posts
Scheduling - publish at future date, auto-archive after expiry
Versioning - track edit history, rollback capability
Search - full-text search across all posts
SEO - slug generation, meta tags, OpenGraph
Security:
- All write operations require admin auth + content.write permission
- Audit log of every content change
- Rate limiting on publish operations
- Content sanitization (strip XSS, validate HTML)
"""
from __future__ import annotations from __future__ import annotations
import html from app.domains.bulletin import ( # noqa: F401
import json BulletinBoardManager,
import logging Comment,
import os ContentSanitizer,
import re Post,
import time PostCategory,
from dataclasses import asdict, dataclass, field PostStatus,
from datetime import datetime Priority,
from enum import StrEnum TargetAudience,
from typing import Any, ClassVar award_badge,
get_user_badges,
logger = logging.getLogger("rmi_bulletin_board") get_user_reputation,
verify_x402_bot,
)
# ── Enums ─────────────────────────────────────────────────────
class PostStatus(StrEnum):
DRAFT = "draft"
REVIEW = "review"
PUBLISHED = "published"
ARCHIVED = "archived"
SCHEDULED = "scheduled"
class PostCategory(StrEnum):
NEWS = "news" # Platform news
ALERT = "alert" # Security/urgent alerts
UPDATE = "update" # Feature updates
PROMO = "promo" # Promotions/offers
SYSTEM = "system" # System maintenance
COMMUNITY = "community" # Community posts
ANNOUNCEMENT = "announcement" # General announcements
TUTORIAL = "tutorial" # Guides/how-tos
class TargetAudience(StrEnum):
ALL = "all"
FREE = "free"
PREMIUM = "premium"
PRO = "pro"
ENTERPRISE = "enterprise"
ADMINS = "admins"
MODERATORS = "moderators"
class Priority(StrEnum):
LOW = "low"
NORMAL = "normal"
HIGH = "high"
CRITICAL = "critical"
# ── Data Models ─────────────────────────────────────────────
@dataclass
class Post:
"""Bulletin board post."""
post_id: str
title: str
slug: str
content: str
summary: str
category: str
status: str
priority: str
target_audience: str
author_id: str
author_email: str
author_name: str
created_at: str
updated_at: str
published_at: str | None = None
scheduled_at: str | None = None
expires_at: str | None = None
archived_at: str | None = None
pinned: bool = False
pin_order: int = 0
featured_image: str = ""
attachments: list[dict] = field(default_factory=list)
tags: list[str] = field(default_factory=list)
meta_title: str = ""
meta_description: str = ""
og_image: str = ""
view_count: int = 0
click_count: int = 0
engagement_score: float = 0.0
version: int = 1
edit_history: list[dict] = field(default_factory=list)
approved_by: str = ""
approved_at: str | None = None
notification_sent: bool = False
allow_comments: bool = False
comments_count: int = 0
def to_dict(self) -> dict:
return asdict(self)
def to_public_dict(self) -> dict:
"""Return public-safe version (no internal fields)."""
return {
"post_id": self.post_id,
"title": self.title,
"slug": self.slug,
"content": self.content,
"summary": self.summary,
"category": self.category,
"priority": self.priority,
"author_name": self.author_name,
"created_at": self.created_at,
"published_at": self.published_at,
"expires_at": self.expires_at,
"pinned": self.pinned,
"pin_order": self.pin_order,
"featured_image": self.featured_image,
"attachments": self.attachments,
"tags": self.tags,
"meta_title": self.meta_title,
"meta_description": self.meta_description,
"og_image": self.og_image,
"view_count": self.view_count,
"allow_comments": self.allow_comments,
"comments_count": self.comments_count,
}
@dataclass
class Comment:
"""Comment on a post."""
comment_id: str
post_id: str
author_id: str
author_name: str
author_email: str
content: str
created_at: str
updated_at: str
parent_id: str | None = None
status: str = "approved" # approved, pending, rejected
likes: int = 0
replies: list[dict] = field(default_factory=list)
def to_dict(self) -> dict:
return asdict(self)
# ── Content Sanitizer ───────────────────────────────────────
class ContentSanitizer:
"""Sanitize user-generated content to prevent XSS."""
ALLOWED_TAGS: ClassVar[dict] ={
"p",
"br",
"strong",
"b",
"em",
"i",
"u",
"h1",
"h2",
"h3",
"h4",
"h5",
"h6",
"ul",
"ol",
"li",
"a",
"img",
"blockquote",
"code",
"pre",
"table",
"thead",
"tbody",
"tr",
"td",
"th",
"div",
"span",
"hr",
"sub",
"sup",
"del",
"ins",
}
ALLOWED_ATTRS: ClassVar[dict] ={
"a": ["href", "title", "target"],
"img": ["src", "alt", "title", "width", "height"],
"div": ["class"],
"span": ["class"],
"code": ["class"],
"pre": ["class"],
}
@staticmethod
def sanitize(text: str) -> str:
"""Basic HTML sanitization."""
if not text:
return ""
# Escape HTML entities first
text = html.escape(text)
# Then selectively un-escape allowed tags
# This is a simplified approach - in production use bleach or similar
# For now, strip all HTML tags for safety
text = re.sub(r"<[^>]+>", "", text)
return text.strip()
@staticmethod
def generate_slug(title: str) -> str:
"""Generate URL-friendly slug from title."""
slug = re.sub(r"[^\w\s-]", "", title.lower())
slug = re.sub(r"[-\s]+", "-", slug)
return slug[:80]
@staticmethod
def generate_summary(content: str, max_length: int = 200) -> str:
"""Generate summary from content."""
# Strip HTML
text = re.sub(r"<[^>]+>", "", content)
text = text.replace("\n", " ").strip()
if len(text) > max_length:
text = text[:max_length].rsplit(" ", 1)[0] + "..."
return text
# ── Bulletin Board Manager ────────────────────────────────────
class BulletinBoardManager:
"""
Core manager for bulletin board operations.
Uses Redis as primary store + Supabase backup.
"""
@staticmethod
async def _get_redis():
import redis.asyncio as redis_lib
return redis_lib.Redis(
host=os.getenv("REDIS_HOST", "localhost"),
port=int(os.getenv("REDIS_PORT", "6379")),
password=os.getenv("REDIS_PASSWORD", ""),
decode_responses=True,
)
@staticmethod
async def create_post(
title: str,
content: str,
category: str,
author_id: str,
author_email: str,
author_name: str = "",
priority: str = "normal",
target_audience: str = "all",
status: str = "draft",
featured_image: str = "",
attachments: list[dict] | None = None,
tags: list[str] | None = None,
scheduled_at: str | None = None,
expires_at: str | None = None,
pinned: bool = False,
allow_comments: bool = False,
meta_title: str = "",
meta_description: str = "",
) -> Post:
"""Create a new post."""
post_id = f"post_{int(time.time())}_{os.urandom(4).hex()}"
slug = ContentSanitizer.generate_slug(title)
summary = ContentSanitizer.generate_summary(content)
now = datetime.utcnow().isoformat()
# Sanitize content
content = ContentSanitizer.sanitize(content)
post = Post(
post_id=post_id,
title=title[:200],
slug=slug,
content=content,
summary=summary,
category=category,
status=status,
priority=priority,
target_audience=target_audience,
author_id=author_id,
author_email=author_email,
author_name=author_name or author_email.split("@")[0],
created_at=now,
updated_at=now,
scheduled_at=scheduled_at,
expires_at=expires_at,
pinned=pinned,
featured_image=featured_image,
attachments=attachments or [],
tags=tags or [],
meta_title=meta_title or title[:70],
meta_description=meta_description or summary[:160],
allow_comments=allow_comments,
)
r = await BulletinBoardManager._get_redis()
# Save post
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post.to_dict()))
# Add to category index
await r.sadd(f"bulletin:category:{category}", post_id)
# Add to status index
await r.sadd(f"bulletin:status:{status}", post_id)
# Add to author index
await r.sadd(f"bulletin:author:{author_id}", post_id)
# Add to audience index
await r.sadd(f"bulletin:audience:{target_audience}", post_id)
# Add to pinned index if pinned
if pinned:
await r.sadd("bulletin:pinned", post_id)
await r.zadd("bulletin:pinned_order", {post_id: post.pin_order})
# Add to scheduled index if scheduled
if scheduled_at and status == "scheduled":
ts = int(datetime.fromisoformat(scheduled_at).timestamp())
await r.zadd("bulletin:scheduled", {post_id: ts})
# Add to search index (simple word index)
words = set(re.findall(r"\w+", title.lower() + " " + content.lower()))
for word in words:
if len(word) > 2:
await r.sadd(f"bulletin:search:{word}", post_id)
# Save to Supabase
try:
from supabase import create_client
supabase_url = os.getenv("SUPABASE_URL")
supabase_key = os.getenv("SUPABASE_SERVICE_KEY")
if supabase_url and supabase_key:
client = create_client(supabase_url, supabase_key)
client.table("bulletin_posts").insert(post.to_dict()).execute()
except Exception as e:
logger.error(f"Supabase bulletin post save failed: {e}")
return post
@staticmethod
async def get_post(post_id: str, increment_views: bool = False) -> Post | None:
"""Get a post by ID."""
r = await BulletinBoardManager._get_redis()
data = await r.hget("rmi:bulletin_posts", post_id)
if not data:
return None
post_dict = json.loads(data)
if increment_views and post_dict.get("status") == "published":
post_dict["view_count"] = post_dict.get("view_count", 0) + 1
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
return Post(**post_dict)
@staticmethod
async def get_post_by_slug(slug: str) -> Post | None:
"""Get a post by slug."""
r = await BulletinBoardManager._get_redis()
# Search all posts for matching slug
all_posts = await r.hgetall("rmi:bulletin_posts")
for _post_id, data in all_posts.items():
post_dict = json.loads(data)
if post_dict.get("slug") == slug:
return Post(**post_dict)
return None
@staticmethod
async def update_post(
post_id: str,
updates: dict[str, Any],
editor_id: str = "",
editor_email: str = "",
) -> Post | None:
"""Update a post with versioning."""
r = await BulletinBoardManager._get_redis()
data = await r.hget("rmi:bulletin_posts", post_id)
if not data:
return None
post_dict = json.loads(data)
before_state = {k: post_dict.get(k) for k in updates if k in post_dict}
# Record edit history
edit_entry = {
"edited_at": datetime.utcnow().isoformat(),
"edited_by": editor_id,
"editor_email": editor_email,
"changes": before_state,
"version": post_dict.get("version", 1),
}
history = post_dict.get("edit_history", [])
history.append(edit_entry)
post_dict["edit_history"] = history
post_dict["version"] = post_dict.get("version", 1) + 1
post_dict["updated_at"] = datetime.utcnow().isoformat()
# Apply updates
for key, value in updates.items():
if key == "content":
value = ContentSanitizer.sanitize(value)
post_dict["summary"] = ContentSanitizer.generate_summary(value)
if key == "title":
post_dict["slug"] = ContentSanitizer.generate_slug(value)
post_dict[key] = value
# Handle status transitions
old_status = before_state.get("status")
new_status = post_dict.get("status")
if old_status != new_status:
# Update status indexes
if old_status:
await r.srem(f"bulletin:status:{old_status}", post_id)
await r.sadd(f"bulletin:status:{new_status}", post_id)
if new_status == "published":
post_dict["published_at"] = datetime.utcnow().isoformat()
elif new_status == "archived":
post_dict["archived_at"] = datetime.utcnow().isoformat()
# Handle pinning changes
if "pinned" in updates:
if updates["pinned"]:
await r.sadd("bulletin:pinned", post_id)
await r.zadd("bulletin:pinned_order", {post_id: post_dict.get("pin_order", 0)})
else:
await r.srem("bulletin:pinned", post_id)
await r.zrem("bulletin:pinned_order", post_id)
# Save updated post
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
# Update Supabase
try:
from supabase import create_client
supabase_url = os.getenv("SUPABASE_URL")
supabase_key = os.getenv("SUPABASE_SERVICE_KEY")
if supabase_url and supabase_key:
client = create_client(supabase_url, supabase_key)
client.table("bulletin_posts").upsert(post_dict).execute()
except Exception as e:
logger.error(f"Supabase bulletin post update failed: {e}")
return Post(**post_dict)
@staticmethod
async def delete_post(post_id: str) -> bool:
"""Delete a post (soft delete - move to archive)."""
r = await BulletinBoardManager._get_redis()
data = await r.hget("rmi:bulletin_posts", post_id)
if not data:
return False
post_dict = json.loads(data)
post_dict["status"] = "archived"
post_dict["archived_at"] = datetime.utcnow().isoformat()
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
await r.srem("bulletin:status:published", post_id)
await r.srem("bulletin:status:draft", post_id)
await r.srem("bulletin:status:review", post_id)
await r.sadd("bulletin:status:archived", post_id)
await r.srem("bulletin:pinned", post_id)
return True
@staticmethod
async def list_posts(
category: str | None = None,
status: str | None = None,
target_audience: str | None = None,
author_id: str | None = None,
pinned_only: bool = False,
search_query: str | None = None,
tags: list[str] | None = None,
limit: int = 50,
offset: int = 0,
sort_by: str = "created_at",
sort_order: str = "desc",
) -> dict[str, Any]:
"""List posts with filtering."""
r = await BulletinBoardManager._get_redis()
# Start with all posts or filtered set
if pinned_only:
post_ids = await r.smembers("bulletin:pinned")
elif category:
post_ids = await r.smembers(f"bulletin:category:{category}")
elif status:
post_ids = await r.smembers(f"bulletin:status:{status}")
elif author_id:
post_ids = await r.smembers(f"bulletin:author:{author_id}")
elif target_audience:
post_ids = await r.smembers(f"bulletin:audience:{target_audience}")
elif search_query:
# Search by words
words = re.findall(r"\w+", search_query.lower())
if words:
sets = [f"bulletin:search:{w}" for w in words if len(w) > 2]
if sets:
post_ids = await r.sinter(sets)
else:
post_ids = set()
else:
post_ids = set()
else:
all_posts = await r.hgetall("rmi:bulletin_posts")
post_ids = set(all_posts.keys())
# Apply additional filters
if tags:
tagged_posts = set()
all_posts = await r.hgetall("rmi:bulletin_posts")
for pid, data in all_posts.items():
post_dict = json.loads(data)
if any(tag in post_dict.get("tags", []) for tag in tags):
tagged_posts.add(pid)
post_ids = post_ids.intersection(tagged_posts)
# Fetch and sort posts
posts = []
all_posts = await r.hgetall("rmi:bulletin_posts")
for pid in post_ids:
data = all_posts.get(pid)
if data:
post_dict = json.loads(data)
posts.append(post_dict)
# Sort
reverse = sort_order == "desc"
posts.sort(key=lambda x: x.get(sort_by, ""), reverse=reverse)
# Pinned posts first if not pinned_only
if not pinned_only:
pinned_ids = await r.smembers("bulletin:pinned")
posts.sort(
key=lambda x: (x["post_id"] not in pinned_ids, x.get(sort_by, "")),
reverse=not reverse,
)
total = len(posts)
posts = posts[offset : offset + limit]
return {
"posts": posts,
"total": total,
"limit": limit,
"offset": offset,
}
@staticmethod
async def publish_scheduled() -> list[str]:
"""Publish posts that are scheduled for now."""
r = await BulletinBoardManager._get_redis()
now = int(time.time())
# Get scheduled posts that are due
due = await r.zrangebyscore("bulletin:scheduled", 0, now)
published = []
for post_id in due:
data = await r.hget("rmi:bulletin_posts", post_id)
if data:
post_dict = json.loads(data)
post_dict["status"] = "published"
post_dict["published_at"] = datetime.utcnow().isoformat()
post_dict["scheduled_at"] = None
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
await r.srem("bulletin:status:scheduled", post_id)
await r.sadd("bulletin:status:published", post_id)
await r.zrem("bulletin:scheduled", post_id)
published.append(post_id)
return published
@staticmethod
async def archive_expired() -> list[str]:
"""Archive posts that have expired."""
r = await BulletinBoardManager._get_redis()
now = datetime.utcnow().isoformat()
all_posts = await r.hgetall("rmi:bulletin_posts")
archived = []
for post_id, data in all_posts.items():
post_dict = json.loads(data)
if post_dict.get("status") == "published" and post_dict.get("expires_at"):
if post_dict["expires_at"] < now:
post_dict["status"] = "archived"
post_dict["archived_at"] = now
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
await r.srem("bulletin:status:published", post_id)
await r.sadd("bulletin:status:archived", post_id)
await r.srem("bulletin:pinned", post_id)
archived.append(post_id)
return archived
@staticmethod
async def add_comment(
post_id: str,
author_id: str,
author_name: str,
author_email: str,
content: str,
parent_id: str | None = None,
) -> Comment | None:
"""Add a comment to a post."""
r = await BulletinBoardManager._get_redis()
# Check if post exists and allows comments
post_data = await r.hget("rmi:bulletin_posts", post_id)
if not post_data:
return None
post_dict = json.loads(post_data)
if not post_dict.get("allow_comments", False):
return None
comment_id = f"comment_{int(time.time())}_{os.urandom(4).hex()}"
now = datetime.utcnow().isoformat()
comment = Comment(
comment_id=comment_id,
post_id=post_id,
author_id=author_id,
author_name=author_name,
author_email=author_email,
content=ContentSanitizer.sanitize(content)[:2000],
created_at=now,
updated_at=now,
parent_id=parent_id,
)
await r.hset("rmi:bulletin_comments", comment_id, json.dumps(comment.to_dict()))
await r.sadd(f"bulletin:post_comments:{post_id}", comment_id)
# Update post comment count
post_dict["comments_count"] = post_dict.get("comments_count", 0) + 1
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
return comment
@staticmethod
async def get_comments(post_id: str, limit: int = 100) -> list[dict]:
"""Get comments for a post."""
r = await BulletinBoardManager._get_redis()
comment_ids = await r.smembers(f"bulletin:post_comments:{post_id}")
comments = []
for cid in comment_ids:
data = await r.hget("rmi:bulletin_comments", cid)
if data:
comments.append(json.loads(data))
comments.sort(key=lambda x: x.get("created_at", ""), reverse=True)
return comments[:limit]
@staticmethod
async def get_stats() -> dict[str, Any]:
"""Get bulletin board statistics."""
r = await BulletinBoardManager._get_redis()
stats = {
"total_posts": await r.hlen("rmi:bulletin_posts") or 0,
"published": await r.scard("bulletin:status:published") or 0,
"drafts": await r.scard("bulletin:status:draft") or 0,
"review": await r.scard("bulletin:status:review") or 0,
"archived": await r.scard("bulletin:status:archived") or 0,
"scheduled": await r.scard("bulletin:status:scheduled") or 0,
"pinned": await r.scard("bulletin:pinned") or 0,
"total_comments": await r.hlen("rmi:bulletin_comments") or 0,
"categories": {},
}
# Count by category
for cat in PostCategory:
count = await r.scard(f"bulletin:category:{cat.value}") or 0
stats["categories"][cat.value] = count
return stats
@staticmethod
async def track_engagement(post_id: str, action: str) -> bool:
"""Track engagement (view, click, etc.)."""
r = await BulletinBoardManager._get_redis()
data = await r.hget("rmi:bulletin_posts", post_id)
if not data:
return False
post_dict = json.loads(data)
if action == "view":
post_dict["view_count"] = post_dict.get("view_count", 0) + 1
elif action == "click":
post_dict["click_count"] = post_dict.get("click_count", 0) + 1
# Calculate engagement score
views = post_dict.get("view_count", 0)
clicks = post_dict.get("click_count", 0)
post_dict["engagement_score"] = round((clicks / max(views, 1)) * 100, 2)
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
return True
# ═══════════════════════════════════════════════════════════
# BADGES & X402 BOT PAYMENTS
# ═══════════════════════════════════════════════════════════
BADGES = {
"first_post": {
"name": "First Words",
"icon": "💬",
"desc": "Made your first post",
"tier": "bronze",
},
"10_posts": {"name": "Chatterbox", "icon": "📢", "desc": "10 posts", "tier": "bronze"},
"50_posts": {"name": "Board Regular", "icon": "🎙️", "desc": "50 posts", "tier": "silver"},
"100_posts": {
"name": "Terminally Online",
"icon": "🖥️",
"desc": "100 posts - touch grass",
"tier": "gold",
},
"10_upvotes": {
"name": "Approved",
"icon": "👍",
"desc": "10 upvotes on a post",
"tier": "bronze",
},
"50_upvotes": {"name": "Crowd Favorite", "icon": "", "desc": "50 upvotes", "tier": "silver"},
"100_upvotes": {"name": "Legendary", "icon": "👑", "desc": "100 upvotes", "tier": "gold"},
"rug_reporter": {
"name": "Rug Detective",
"icon": "🔍",
"desc": "Reported 3 verified rugs",
"tier": "silver",
},
"scam_buster": {
"name": "Scam Buster",
"icon": "🛡️",
"desc": "10 scam alerts verified",
"tier": "gold",
},
"honeypot_hunter": {
"name": "Honeypot Hunter",
"icon": "🍯",
"desc": "Found 5 honeypots",
"tier": "silver",
},
"whale_watcher": {
"name": "Whale Watcher",
"icon": "🐋",
"desc": "Tracked 10 whale moves",
"tier": "silver",
},
"alpha_caller": {
"name": "Alpha Caller",
"icon": "📈",
"desc": "Called 5 pumps",
"tier": "gold",
},
"degen": {
"name": "Certified Degen",
"icon": "🎰",
"desc": "Posted in every category",
"tier": "gold",
},
"rug_survivor": {
"name": "Rug Survivor",
"icon": "💀",
"desc": "Posted about getting rugged",
"tier": "bronze",
},
"diamond_hands": {
"name": "Diamond Hands",
"icon": "💎",
"desc": "Held through -90%",
"tier": "diamond",
},
"based": {
"name": "Based",
"icon": "🧠",
"desc": "Called a 10x before it happened",
"tier": "diamond",
},
"bot_verified": {
"name": "Verified Bot",
"icon": "🤖",
"desc": "Registered x402 bot",
"tier": "silver",
},
"bot_pro": {"name": "Bot Pro", "icon": "", "desc": "100+ API calls", "tier": "gold"},
}
BADGE_TIERS = {"bronze": "#CD7F32", "silver": "#C0C0C0", "gold": "#FFD700", "diamond": "#B9F2FF"}
async def get_user_badges(user_id: str) -> list:
try:
r = await BulletinBoardManager._get_redis()
ids = await r.smembers(f"bb:badges:{user_id}")
await r.close()
return [{"id": bid, **BADGES[bid]} for bid in ids if bid in BADGES]
except Exception:
return []
async def award_badge(user_id: str, badge_id: str) -> bool:
if badge_id not in BADGES:
return False
try:
r = await BulletinBoardManager._get_redis()
ok = await r.sadd(f"bb:badges:{user_id}", badge_id)
await r.close()
return ok > 0
except Exception:
return False
async def get_user_reputation(user_id: str) -> dict:
try:
r = await BulletinBoardManager._get_redis()
p = r.pipeline()
p.get(f"bb:rep:{user_id}")
p.scard(f"bb:badges:{user_id}")
p.get(f"bb:posts:{user_id}")
rep, bc, pc = await p.execute()
await r.close()
return {"reputation": int(rep or 0), "badge_count": bc or 0, "post_count": int(pc or 0)}
except Exception:
return {"reputation": 0, "badge_count": 0, "post_count": 0}
X402_BB_POST_PRICE = "$1.00"
async def verify_x402_bot(tx_hash: str, bot_addr: str) -> bool:
try:
r = await BulletinBoardManager._get_redis()
if await r.get(f"bb:x402:tx:{tx_hash}"):
await r.close()
return False
await r.setex(f"bb:x402:tx:{tx_hash}", 86400, bot_addr)
await r.setex(f"bb:x402:bot:{bot_addr}", 2592000, "1") # 30 day auth
await r.close()
return True
except Exception:
return False

View file

@ -73,7 +73,7 @@ def get_redis_async() -> "aioredis.Redis | None":
return None return None
def close_redis(): async def close_redis() -> None:
"""Close Redis connection pool.""" """Close Redis connection pool."""
global _sync_pool, _async_pool global _sync_pool, _async_pool
if _sync_pool: if _sync_pool:
@ -85,7 +85,7 @@ def close_redis():
_sync_pool = None _sync_pool = None
if _async_pool: if _async_pool:
try: try:
_async_pool.disconnect() await _async_pool.disconnect()
logger.info("Async Redis connection pool closed") logger.info("Async Redis connection pool closed")
except Exception as e: except Exception as e:
logger.error(f"Async Redis pool close failed: {e}") logger.error(f"Async Redis pool close failed: {e}")

View file

@ -0,0 +1,31 @@
"""Admin domain - public API.
Phase 4 domain consolidation: app.admin_backend -> app.domains.admin.
"""
from __future__ import annotations
from app.domains.admin.core import (
PERMISSIONS,
AdminRole,
AdminUserStore,
AuditLogEntry,
AuditLogger,
SecurityManager,
SessionManager,
SystemHealthMonitor,
has_permission,
require_admin,
)
__all__ = [
"PERMISSIONS",
"AdminRole",
"AdminUserStore",
"AuditLogEntry",
"AuditLogger",
"SecurityManager",
"SessionManager",
"SystemHealthMonitor",
"has_permission",
"require_admin",
]

1070
app/domains/admin/core.py Normal file

File diff suppressed because it is too large Load diff

View file

@ -5,6 +5,7 @@ Auth Router - Complete authentication system (email, wallet, OAuth, Telegram)
import json import json
import logging import logging
from datetime import datetime, timedelta from datetime import datetime, timedelta
from typing import Any, cast
from fastapi import APIRouter, HTTPException, Request from fastapi import APIRouter, HTTPException, Request
@ -77,7 +78,7 @@ router.include_router(oauth_router, tags=["auth"])
# ── Storage (Redis-backed user store) ── # ── Storage (Redis-backed user store) ──
# ── Email Auth ── # ── Email Auth ──
@router.post("/register", response_model=WalletAuthResponse) @router.post("/register", response_model=WalletAuthResponse)
def register_email(req: EmailRegisterRequest): def register_email(req: EmailRegisterRequest) -> WalletAuthResponse:
"""Register a new user with email/password.""" """Register a new user with email/password."""
if not _is_valid_email(req.email): if not _is_valid_email(req.email):
raise HTTPException(status_code=400, detail="Invalid email format") raise HTTPException(status_code=400, detail="Invalid email format")
@ -93,7 +94,7 @@ def register_email(req: EmailRegisterRequest):
user_id = _derive_user_id(req.email) user_id = _derive_user_id(req.email)
hashed = hash_password(req.password) hashed = hash_password(req.password)
user = { user: dict[str, Any] = {
"id": user_id, "id": user_id,
"email": req.email, "email": req.email,
"display_name": req.display_name, "display_name": req.display_name,
@ -112,29 +113,33 @@ def register_email(req: EmailRegisterRequest):
# Save user + email index # Save user + email index
r = get_redis() r = get_redis()
assert r is not None
r.hset("rmi:users", user_id, json.dumps(user)) r.hset("rmi:users", user_id, json.dumps(user))
r.hset("rmi:users:email", req.email.lower(), user_id) r.hset("rmi:users:email", req.email.lower(), user_id)
token = _create_jwt(user_id, req.email, "FREE", "USER", req.wallet_address) token = _create_jwt(user_id, req.email, "FREE", "USER", req.wallet_address)
return { return cast(
"access_token": token, "WalletAuthResponse",
"refresh_token": token, {
"user": { "access_token": token,
"id": user_id, "refresh_token": token,
"email": req.email, "user": {
"display_name": req.display_name, "id": user_id,
"wallet_address": req.wallet_address, "email": req.email,
"wallet_chain": req.wallet_chain, "display_name": req.display_name,
"tier": "FREE", "wallet_address": req.wallet_address,
"role": "USER", "wallet_chain": req.wallet_chain,
"created_at": user["created_at"], "tier": "FREE",
"role": "USER",
"created_at": user["created_at"],
},
}, },
} )
@router.post("/login", response_model=WalletAuthResponse) @router.post("/login", response_model=WalletAuthResponse)
def login_email(req: EmailLoginRequest): def login_email(req: EmailLoginRequest) -> WalletAuthResponse:
"""Login with email/password. If 2FA enabled, returns partial token requiring /2fa/login.""" """Login with email/password. If 2FA enabled, returns partial token requiring /2fa/login."""
user = _get_user_by_email(req.email) user = _get_user_by_email(req.email)
if not user or not user.get("password_hash"): if not user or not user.get("password_hash"):
@ -162,21 +167,24 @@ def login_email(req: EmailLoginRequest):
payload["pre_auth"] = True payload["pre_auth"] = True
pre_token = jose_jwt.encode(payload, JWT_SECRET, algorithm=JWT_ALGORITHM) pre_token = jose_jwt.encode(payload, JWT_SECRET, algorithm=JWT_ALGORITHM)
return { return cast(
"access_token": pre_token, "WalletAuthResponse",
"refresh_token": pre_token, {
"user": { "access_token": pre_token,
"id": user["id"], "refresh_token": pre_token,
"email": user["email"], "user": {
"display_name": user.get("display_name", user["email"]), "id": user["id"],
"wallet_address": user.get("wallet_address"), "email": user["email"],
"wallet_chain": user.get("wallet_chain"), "display_name": user.get("display_name", user["email"]),
"tier": user.get("tier", "FREE"), "wallet_address": user.get("wallet_address"),
"role": user.get("role", "USER"), "wallet_chain": user.get("wallet_chain"),
"created_at": user.get("created_at"), "tier": user.get("tier", "FREE"),
"_2fa_required": True, "role": user.get("role", "USER"),
"created_at": user.get("created_at"),
"_2fa_required": True,
},
}, },
} )
token = _create_jwt( token = _create_jwt(
user["id"], user["id"],
@ -186,38 +194,37 @@ def login_email(req: EmailLoginRequest):
user.get("wallet_address"), user.get("wallet_address"),
) )
return { return cast(
"access_token": token, "WalletAuthResponse",
"refresh_token": token, {
"user": { "access_token": token,
"id": user["id"], "refresh_token": token,
"email": user["email"], "user": {
"display_name": user.get("display_name", user["email"]), "id": user["id"],
"wallet_address": user.get("wallet_address"), "email": user["email"],
"wallet_chain": user.get("wallet_chain"), "display_name": user.get("display_name", user["email"]),
"tier": user.get("tier", "FREE"), "wallet_address": user.get("wallet_address"),
"role": user.get("role", "USER"), "wallet_chain": user.get("wallet_chain"),
"created_at": user.get("created_at"), "tier": user.get("tier", "FREE"),
"role": user.get("role", "USER"),
"created_at": user.get("created_at"),
},
}, },
} )
# ── Wallet Auth ── # ── Wallet Auth ──
@router.post("/wallet/nonce", response_model=NonceResponse) @router.post("/wallet/nonce", response_model=NonceResponse)
async def wallet_nonce(req: WalletNonceRequest): async def wallet_nonce(req: WalletNonceRequest) -> NonceResponse:
"""Get a nonce for wallet signature.""" """Get a nonce for wallet signature."""
nonce = generate_nonce() nonce = generate_nonce()
timestamp = datetime.utcnow().isoformat() timestamp = datetime.utcnow().isoformat()
message = f"RugMunch Intelligence wants you to sign in with your {req.chain.title()} account.\n\nWallet: {req.address}\nNonce: {nonce}\nTimestamp: {timestamp}" message = f"RugMunch Intelligence wants you to sign in with your {req.chain.title()} account.\n\nWallet: {req.address}\nNonce: {nonce}\nTimestamp: {timestamp}"
return { return cast("NonceResponse", {"nonce": nonce, "timestamp": timestamp, "message": message})
"nonce": nonce,
"timestamp": timestamp,
"message": message,
}
@router.post("/wallet/verify", response_model=WalletAuthResponse) @router.post("/wallet/verify", response_model=WalletAuthResponse)
async def wallet_verify(req: WalletVerifyRequest): async def wallet_verify(req: WalletVerifyRequest) -> WalletAuthResponse:
"""Verify wallet signature and create session.""" """Verify wallet signature and create session."""
from app.domains.auth.wallet import get_or_create_wallet_user, verify_wallet_signature from app.domains.auth.wallet import get_or_create_wallet_user, verify_wallet_signature
@ -226,25 +233,28 @@ async def wallet_verify(req: WalletVerifyRequest):
user_data = await get_or_create_wallet_user(req.address) user_data = await get_or_create_wallet_user(req.address)
return { return cast(
"access_token": user_data["access_token"], "WalletAuthResponse",
"refresh_token": user_data["refresh_token"], {
"user": { "access_token": user_data["access_token"],
"id": user_data["id"], "refresh_token": user_data["refresh_token"],
"email": user_data["email"], "user": {
"display_name": user_data.get("display_name", f"Agent {req.address[2:8].upper()}"), "id": user_data["id"],
"wallet_address": req.address, "email": user_data["email"],
"wallet_chain": req.chain, "display_name": user_data.get("display_name", f"Agent {req.address[2:8].upper()}"),
"tier": user_data["tier"], "wallet_address": req.address,
"role": user_data["role"], "wallet_chain": req.chain,
"created_at": user_data["created_at"], "tier": user_data["tier"],
"role": user_data["role"],
"created_at": user_data["created_at"],
},
}, },
} )
# ── User Profile ── # ── User Profile ──
@router.get("/user/me", response_model=UserResponse) @router.get("/user/me", response_model=UserResponse)
async def user_me(request: Request): async def user_me(request: Request) -> UserResponse:
"""Get current authenticated user profile.""" """Get current authenticated user profile."""
auth_header = request.headers.get("Authorization", "") auth_header = request.headers.get("Authorization", "")
if not auth_header.startswith("Bearer "): if not auth_header.startswith("Bearer "):
@ -259,26 +269,29 @@ async def user_me(request: Request):
if not user: if not user:
raise HTTPException(status_code=404, detail="User not found") raise HTTPException(status_code=404, detail="User not found")
return { return cast(
"id": user["id"], "UserResponse",
"email": user["email"], {
"display_name": user.get("display_name", user["email"]), "id": user["id"],
"wallet_address": user.get("wallet_address"), "email": user["email"],
"wallet_chain": user.get("wallet_chain"), "display_name": user.get("display_name", user["email"]),
"tier": user.get("tier", "FREE"), "wallet_address": user.get("wallet_address"),
"role": user.get("role", "USER"), "wallet_chain": user.get("wallet_chain"),
"created_at": user.get("created_at"), "tier": user.get("tier", "FREE"),
"xp": user.get("xp", 0), "role": user.get("role", "USER"),
"level": user.get("level", 1), "created_at": user.get("created_at"),
"badges": user.get("badges", []), "xp": user.get("xp", 0),
} "level": user.get("level", 1),
"badges": user.get("badges", []),
},
)
# ── 2FA / TOTP Endpoints ── # ── 2FA / TOTP Endpoints ──
@router.post("/2fa/setup") @router.post("/2fa/setup")
async def twofa_setup(request: Request): async def twofa_setup(request: Request) -> TwoFASetupResponse:
"""Begin 2FA setup - generate secret + QR code. Returns plaintext secret + backup codes (shown once).""" """Begin 2FA setup - generate secret + QR code. Returns plaintext secret + backup codes (shown once)."""
if not PYOTP_AVAILABLE: if not PYOTP_AVAILABLE:
raise HTTPException(status_code=503, detail="2FA service unavailable") raise HTTPException(status_code=503, detail="2FA service unavailable")
@ -300,6 +313,7 @@ async def twofa_setup(request: Request):
# Store pending secret (not enabled until verified) # Store pending secret (not enabled until verified)
r = get_redis() r = get_redis()
assert r is not None
pending = { pending = {
"secret": secret, "secret": secret,
"backup_codes": [_hash_backup_code(c) for c in backup_codes], "backup_codes": [_hash_backup_code(c) for c in backup_codes],
@ -307,16 +321,16 @@ async def twofa_setup(request: Request):
} }
r.setex(f"rmi:2fa_pending:{user['id']}", timedelta(minutes=10), json.dumps(pending)) r.setex(f"rmi:2fa_pending:{user['id']}", timedelta(minutes=10), json.dumps(pending))
return { return cast("TwoFASetupResponse", {
"secret": secret, "secret": secret,
"qr_code": qr_b64, "qr_code": qr_b64,
"uri": uri, "uri": uri,
"backup_codes": backup_codes, # plaintext - shown once "backup_codes": backup_codes, # plaintext - shown once
} })
@router.post("/2fa/enable") @router.post("/2fa/enable")
async def twofa_enable(req: TwoFAEnableRequest, request: Request): async def twofa_enable(req: TwoFAEnableRequest, request: Request) -> dict[str, Any]:
"""Enable 2FA - verify the first TOTP code, then persist.""" """Enable 2FA - verify the first TOTP code, then persist."""
if not PYOTP_AVAILABLE: if not PYOTP_AVAILABLE:
raise HTTPException(status_code=503, detail="2FA service unavailable") raise HTTPException(status_code=503, detail="2FA service unavailable")
@ -326,6 +340,7 @@ async def twofa_enable(req: TwoFAEnableRequest, request: Request):
raise HTTPException(status_code=401, detail="Authentication required") raise HTTPException(status_code=401, detail="Authentication required")
r = get_redis() r = get_redis()
assert r is not None
pending_raw = r.get(f"rmi:2fa_pending:{user['id']}") pending_raw = r.get(f"rmi:2fa_pending:{user['id']}")
if not pending_raw: if not pending_raw:
raise HTTPException(status_code=400, detail="No pending 2FA setup. Call /2fa/setup first.") raise HTTPException(status_code=400, detail="No pending 2FA setup. Call /2fa/setup first.")
@ -357,7 +372,7 @@ async def twofa_enable(req: TwoFAEnableRequest, request: Request):
@router.post("/2fa/disable") @router.post("/2fa/disable")
async def twofa_disable(request: Request): async def twofa_disable(request: Request) -> dict[str, Any]:
"""Disable 2FA - requires current password for security.""" """Disable 2FA - requires current password for security."""
user = await get_current_user(request) user = await get_current_user(request)
if not user: if not user:
@ -379,27 +394,27 @@ async def twofa_disable(request: Request):
_save_user(user) _save_user(user)
logger.info(f"[2FA DISABLED] user={user['id']} email={user['email']}") logger.info(f"[2FA DISABLED] user={user['id']} email={user['email']}")
return {"status": "ok", "message": "2FA disabled successfully"} return cast("dict[str, Any]", {"status": "ok", "message": "2FA disabled successfully"})
@router.get("/2fa/status", response_model=TwoFAStatusResponse) @router.get("/2fa/status", response_model=TwoFAStatusResponse)
async def twofa_status(request: Request): async def twofa_status(request: Request) -> TwoFAStatusResponse:
"""Check 2FA status for current user.""" """Check 2FA status for current user."""
user = await get_current_user(request) user = await get_current_user(request)
if not user: if not user:
raise HTTPException(status_code=401, detail="Authentication required") raise HTTPException(status_code=401, detail="Authentication required")
enabled = user.get("totp_enabled", False) enabled = user.get("totp_enabled", False)
return { return cast("TwoFAStatusResponse", {
"enabled": enabled, "enabled": enabled,
"method": "totp" if enabled else "none", "method": "totp" if enabled else "none",
"created_at": user.get("totp_created_at"), "created_at": user.get("totp_created_at"),
"last_used": user.get("totp_last_used"), "last_used": user.get("totp_last_used"),
} })
@router.post("/2fa/verify") @router.post("/2fa/verify")
async def twofa_verify(req: TwoFAVerifyRequest, request: Request): async def twofa_verify(req: TwoFAVerifyRequest, request: Request) -> dict[str, Any]:
"""Verify a TOTP code (for re-auth during sensitive operations).""" """Verify a TOTP code (for re-auth during sensitive operations)."""
if not PYOTP_AVAILABLE: if not PYOTP_AVAILABLE:
raise HTTPException(status_code=503, detail="2FA service unavailable") raise HTTPException(status_code=503, detail="2FA service unavailable")
@ -418,11 +433,11 @@ async def twofa_verify(req: TwoFAVerifyRequest, request: Request):
user["totp_last_used"] = datetime.utcnow().isoformat() user["totp_last_used"] = datetime.utcnow().isoformat()
_save_user(user) _save_user(user)
return {"status": "ok", "verified": True} return cast("dict[str, Any]", {"status": "ok", "verified": True})
@router.post("/2fa/login") @router.post("/2fa/login")
async def twofa_login(req: TwoFALoginRequest): async def twofa_login(req: TwoFALoginRequest) -> WalletAuthResponse:
"""Login with email + password + 2FA code. Returns full JWT on success.""" """Login with email + password + 2FA code. Returns full JWT on success."""
if not PYOTP_AVAILABLE: if not PYOTP_AVAILABLE:
raise HTTPException(status_code=503, detail="2FA service unavailable") raise HTTPException(status_code=503, detail="2FA service unavailable")
@ -473,17 +488,20 @@ async def twofa_login(req: TwoFALoginRequest):
logger.info(f"[2FA LOGIN] user={user['id']} email={user['email']}") logger.info(f"[2FA LOGIN] user={user['id']} email={user['email']}")
return { return cast(
"access_token": token, "WalletAuthResponse",
"refresh_token": token, {
"user": { "access_token": token,
"id": user["id"], "refresh_token": token,
"email": user["email"], "user": {
"display_name": user.get("display_name", user["email"]), "id": user["id"],
"wallet_address": user.get("wallet_address"), "email": user["email"],
"wallet_chain": user.get("wallet_chain"), "display_name": user.get("display_name", user["email"]),
"tier": user.get("tier", "FREE"), "wallet_address": user.get("wallet_address"),
"role": user.get("role", "USER"), "wallet_chain": user.get("wallet_chain"),
"created_at": user.get("created_at"), "tier": user.get("tier", "FREE"),
"role": user.get("role", "USER"),
"created_at": user.get("created_at"),
},
}, },
} )

View file

@ -41,7 +41,7 @@ def _create_jwt(
} }
if wallet: if wallet:
payload["wallet"] = wallet payload["wallet"] = wallet
return jwt.encode(payload, JWT_SECRET, algorithm=JWT_ALGORITHM) return str(jwt.encode(payload, JWT_SECRET, algorithm=JWT_ALGORITHM))
def _verify_jwt(token: str) -> dict[str, Any] | None: def _verify_jwt(token: str) -> dict[str, Any] | None:

View file

@ -7,8 +7,10 @@ from __future__ import annotations
import json import json
import os import os
from datetime import datetime from datetime import datetime
from typing import cast
from fastapi import APIRouter, HTTPException, Request from fastapi import APIRouter, HTTPException, Request
from fastapi.responses import RedirectResponse
from app.core.redis import get_redis from app.core.redis import get_redis
from app.domains.auth.jwt import _create_jwt, _derive_user_id from app.domains.auth.jwt import _create_jwt, _derive_user_id
@ -25,7 +27,7 @@ FRONTEND_URL = os.getenv("FRONTEND_URL", "https://rugmunch.io")
@router.get("/google/url", response_model=GoogleAuthResponse) @router.get("/google/url", response_model=GoogleAuthResponse)
async def google_auth_url(): async def google_auth_url() -> GoogleAuthResponse:
"""Get Google OAuth URL.""" """Get Google OAuth URL."""
client_id = os.getenv("GOOGLE_CLIENT_ID") client_id = os.getenv("GOOGLE_CLIENT_ID")
redirect_uri = os.getenv( redirect_uri = os.getenv(
@ -33,7 +35,7 @@ async def google_auth_url():
) )
if not client_id: if not client_id:
return {"url": "/auth/callback?error=google_not_configured"} return cast("GoogleAuthResponse", {"url": "/auth/callback?error=google_not_configured"})
from urllib.parse import urlencode from urllib.parse import urlencode
@ -46,14 +48,12 @@ async def google_auth_url():
"prompt": "consent", "prompt": "consent",
} }
url = f"https://accounts.google.com/o/oauth2/v2/auth?{urlencode(params)}" url = f"https://accounts.google.com/o/oauth2/v2/auth?{urlencode(params)}"
return {"url": url} return cast("GoogleAuthResponse", {"url": url})
@router.get("/google/callback") @router.get("/google/callback")
async def google_callback(request: Request): async def google_callback(request: Request) -> RedirectResponse:
"""Handle Google OAuth redirect - exchanges code, creates user, redirects to frontend with token.""" """Handle Google OAuth redirect - exchanges code, creates user, redirects to frontend with token."""
from fastapi.responses import RedirectResponse
code = request.query_params.get("code") code = request.query_params.get("code")
error = request.query_params.get("error") error = request.query_params.get("error")
@ -118,6 +118,7 @@ async def google_callback(request: Request):
"scans_used": 0, "scans_used": 0,
} }
r = get_redis() r = get_redis()
assert r is not None
r.hset("rmi:users", user_id, json.dumps(user)) r.hset("rmi:users", user_id, json.dumps(user))
r.hset("rmi:users:email", email.lower(), user_id) r.hset("rmi:users:email", email.lower(), user_id)
@ -129,7 +130,7 @@ async def google_callback(request: Request):
@router.post("/google/callback", response_model=WalletAuthResponse) @router.post("/google/callback", response_model=WalletAuthResponse)
async def google_callback_post(request: Request): async def google_callback_post(request: Request) -> WalletAuthResponse:
"""Legacy POST endpoint for manual code exchange.""" """Legacy POST endpoint for manual code exchange."""
body = await request.json() body = await request.json()
code = body.get("code") code = body.get("code")
@ -192,6 +193,7 @@ async def google_callback_post(request: Request):
"scans_used": 0, "scans_used": 0,
} }
r = get_redis() r = get_redis()
assert r is not None
r.hset("rmi:users", user_id, json.dumps(user)) r.hset("rmi:users", user_id, json.dumps(user))
r.hset("rmi:users:email", email.lower(), user_id) r.hset("rmi:users:email", email.lower(), user_id)
@ -199,24 +201,27 @@ async def google_callback_post(request: Request):
user["id"], user["email"], user.get("tier", "FREE"), user.get("role", "USER") user["id"], user["email"], user.get("tier", "FREE"), user.get("role", "USER")
) )
return { return cast(
"access_token": jwt_token, "WalletAuthResponse",
"refresh_token": jwt_token, {
"user": { "access_token": jwt_token,
"id": user["id"], "refresh_token": jwt_token,
"email": user["email"], "user": {
"display_name": user.get("display_name", email), "id": user["id"],
"wallet_address": None, "email": user["email"],
"wallet_chain": None, "display_name": user.get("display_name", email),
"tier": user.get("tier", "FREE"), "wallet_address": None,
"role": user.get("role", "USER"), "wallet_chain": None,
"created_at": user.get("created_at"), "tier": user.get("tier", "FREE"),
"role": user.get("role", "USER"),
"created_at": user.get("created_at"),
},
}, },
} )
@router.post("/telegram", response_model=WalletAuthResponse) @router.post("/telegram", response_model=WalletAuthResponse)
async def telegram_auth(req: TelegramAuthRequest): async def telegram_auth(req: TelegramAuthRequest) -> WalletAuthResponse:
"""Authenticate via Telegram Web App data.""" """Authenticate via Telegram Web App data."""
bot_token = os.getenv("TELEGRAM_BOT_TOKEN") bot_token = os.getenv("TELEGRAM_BOT_TOKEN")
if not bot_token: if not bot_token:
@ -272,6 +277,7 @@ async def telegram_auth(req: TelegramAuthRequest):
"scans_used": 0, "scans_used": 0,
} }
r = get_redis() r = get_redis()
assert r is not None
r.hset("rmi:users", telegram_user_id, json.dumps(user)) r.hset("rmi:users", telegram_user_id, json.dumps(user))
r.hset("rmi:users:telegram", str(req.id), telegram_user_id) r.hset("rmi:users:telegram", str(req.id), telegram_user_id)
@ -279,24 +285,27 @@ async def telegram_auth(req: TelegramAuthRequest):
user["id"], user["email"], user.get("tier", "FREE"), user.get("role", "USER") user["id"], user["email"], user.get("tier", "FREE"), user.get("role", "USER")
) )
return { return cast(
"access_token": jwt_token, "WalletAuthResponse",
"refresh_token": jwt_token, {
"user": { "access_token": jwt_token,
"id": user["id"], "refresh_token": jwt_token,
"email": user["email"], "user": {
"display_name": user.get("display_name"), "id": user["id"],
"wallet_address": None, "email": user["email"],
"wallet_chain": None, "display_name": user.get("display_name"),
"tier": user.get("tier", "FREE"), "wallet_address": None,
"role": user.get("role", "USER"), "wallet_chain": None,
"created_at": user.get("created_at"), "tier": user.get("tier", "FREE"),
"role": user.get("role", "USER"),
"created_at": user.get("created_at"),
},
}, },
} )
@router.get("/github/url", response_model=GoogleAuthResponse) @router.get("/github/url", response_model=GoogleAuthResponse)
async def github_auth_url(): async def github_auth_url() -> GoogleAuthResponse:
"""Get GitHub OAuth URL.""" """Get GitHub OAuth URL."""
client_id = os.getenv("GITHUB_CLIENT_ID") client_id = os.getenv("GITHUB_CLIENT_ID")
redirect_uri = os.getenv( redirect_uri = os.getenv(
@ -304,7 +313,7 @@ async def github_auth_url():
) )
if not client_id: if not client_id:
return {"url": "/auth/callback?error=github_not_configured"} return cast("GoogleAuthResponse", {"url": "/auth/callback?error=github_not_configured"})
from urllib.parse import urlencode from urllib.parse import urlencode
@ -314,14 +323,12 @@ async def github_auth_url():
"scope": "user:email", "scope": "user:email",
} }
url = f"https://github.com/login/oauth/authorize?{urlencode(params)}" url = f"https://github.com/login/oauth/authorize?{urlencode(params)}"
return {"url": url} return cast("GoogleAuthResponse", {"url": url})
@router.get("/github/callback") @router.get("/github/callback")
async def github_callback(request: Request): async def github_callback(request: Request) -> RedirectResponse:
"""Handle GitHub OAuth redirect - exchanges code, creates user, redirects to frontend with token.""" """Handle GitHub OAuth redirect - exchanges code, creates user, redirects to frontend with token."""
from fastapi.responses import RedirectResponse
code = request.query_params.get("code") code = request.query_params.get("code")
error = request.query_params.get("error") error = request.query_params.get("error")
@ -403,6 +410,7 @@ async def github_callback(request: Request):
"scans_used": 0, "scans_used": 0,
} }
r = get_redis() r = get_redis()
assert r is not None
r.hset("rmi:users", user_id, json.dumps(user)) r.hset("rmi:users", user_id, json.dumps(user))
r.hset("rmi:users:email", email.lower(), user_id) r.hset("rmi:users:email", email.lower(), user_id)

View file

@ -58,7 +58,7 @@ class UserResponse(BaseModel):
created_at: str created_at: str
xp: int = 0 xp: int = 0
level: int = 1 level: int = 1
badges: list = [] badges: list[str] = []
class GoogleAuthResponse(BaseModel): class GoogleAuthResponse(BaseModel):
@ -80,7 +80,7 @@ class TwoFASetupResponse(BaseModel):
secret: str secret: str
qr_code: str # base64 data URI qr_code: str # base64 data URI
uri: str # otpauth:// URI uri: str # otpauth:// URI
backup_codes: list # plaintext - shown once backup_codes: list[str] # plaintext - shown once
class TwoFAEnableRequest(BaseModel): class TwoFAEnableRequest(BaseModel):

View file

@ -10,7 +10,7 @@ from __future__ import annotations
import json import json
import re import re
from typing import Any from typing import Any, cast
from app.core.redis import get_redis from app.core.redis import get_redis
@ -24,7 +24,7 @@ def _get_user(user_id: str) -> dict[str, Any] | None:
if not raw: if not raw:
return None return None
try: try:
return json.loads(raw) return cast("dict[str, Any]", json.loads(raw))
except (json.JSONDecodeError, TypeError): except (json.JSONDecodeError, TypeError):
return None return None

View file

@ -41,7 +41,7 @@ def _generate_totp_secret() -> str:
"""Generate a new base32 TOTP secret.""" """Generate a new base32 TOTP secret."""
if not PYOTP_AVAILABLE: if not PYOTP_AVAILABLE:
raise RuntimeError("pyotp not installed") raise RuntimeError("pyotp not installed")
return pyotp.random_base32() return str(pyotp.random_base32())
def _build_totp(secret: str) -> Any: def _build_totp(secret: str) -> Any:
@ -54,13 +54,13 @@ def _verify_totp(secret: str, code: str) -> bool:
if not PYOTP_AVAILABLE or not secret or not code: if not PYOTP_AVAILABLE or not secret or not code:
return False return False
totp = _build_totp(secret) totp = _build_totp(secret)
return totp.verify(code, valid_window=TOTP_WINDOW) return bool(totp.verify(code, valid_window=TOTP_WINDOW))
def _get_totp_uri(secret: str, email: str) -> str: def _get_totp_uri(secret: str, email: str) -> str:
"""Get otpauth:// URI for QR code generation.""" """Get otpauth:// URI for QR code generation."""
totp = _build_totp(secret) totp = _build_totp(secret)
return totp.provisioning_uri(name=email, issuer_name=TOTP_ISSUER) return str(totp.provisioning_uri(name=email, issuer_name=TOTP_ISSUER))
def _generate_qr_base64(uri: str) -> str: def _generate_qr_base64(uri: str) -> str:
@ -71,7 +71,7 @@ def _generate_qr_base64(uri: str) -> str:
return "data:image/png;base64," + base64.b64encode(buf.getvalue()).decode() return "data:image/png;base64," + base64.b64encode(buf.getvalue()).decode()
def _generate_backup_codes(count: int = 8) -> list: def _generate_backup_codes(count: int = 8) -> list[str]:
"""Generate single-use backup codes.""" """Generate single-use backup codes."""
codes = [] codes = []
for _ in range(count): for _ in range(count):

View file

@ -33,7 +33,7 @@ def verify_wallet_signature(message: str, signature: str, address: str) -> bool:
return len(signature) >= 60 return len(signature) >= 60
def decode_signature(signature: str) -> tuple: def decode_signature(signature: str) -> tuple[str, str, int]:
""" """
Decode a wallet signature into r, s, v components. Decode a wallet signature into r, s, v components.

View file

@ -388,7 +388,7 @@ async def framework_discovery():
"free": True, "free": True,
}, },
"mcp": { "mcp": {
"endpoint": "python -m app.mcp.x402_mcp_server", "endpoint": "python -m app.domains.mcp.x402_mcp_server",
"format": "Model Context Protocol (stdio)", "format": "Model Context Protocol (stdio)",
"usage": "Claude Desktop, Claude Code, any MCP client", "usage": "Claude Desktop, Claude Code, any MCP client",
"free": True, "free": True,

View file

@ -0,0 +1,35 @@
"""Bulletin domain - public API.
Phase 4 domain consolidation: app.bulletin_board -> app.domains.bulletin.
"""
from __future__ import annotations
from app.domains.bulletin.core import (
BulletinBoardManager,
Comment,
ContentSanitizer,
Post,
PostCategory,
PostStatus,
Priority,
TargetAudience,
award_badge,
get_user_badges,
get_user_reputation,
verify_x402_bot,
)
__all__ = [
"BulletinBoardManager",
"Comment",
"ContentSanitizer",
"Post",
"PostCategory",
"PostStatus",
"Priority",
"TargetAudience",
"award_badge",
"get_user_badges",
"get_user_reputation",
"verify_x402_bot",
]

View file

@ -0,0 +1,902 @@
"""
RMI Bulletin Board Management System
=====================================
A full content management backend for announcements, news, alerts, platform
communications, and community bulletin boards.
Features:
Posts - CRUD with rich text, attachments, scheduling, expiry
Categories - organize by type (news, alert, update, promo, system)
Targeting - audience segmentation (all, free, premium, admins, specific tiers)
Moderation - draft/review/published/archived workflow, approval chains
Pinning - sticky posts, priority ordering
Analytics - views, clicks, engagement tracking per post
Comments - threaded discussions on posts (optional)
Notifications - push/email/Telegram alerts for critical posts
Scheduling - publish at future date, auto-archive after expiry
Versioning - track edit history, rollback capability
Search - full-text search across all posts
SEO - slug generation, meta tags, OpenGraph
Security:
- All write operations require admin auth + content.write permission
- Audit log of every content change
- Rate limiting on publish operations
- Content sanitization (strip XSS, validate HTML)
"""
from __future__ import annotations
import html
import json
import logging
import os
import re
import time
from dataclasses import asdict, dataclass, field
from datetime import datetime
from enum import StrEnum
from typing import Any, ClassVar
logger = logging.getLogger("rmi_bulletin_board")
# ── Enums ─────────────────────────────────────────────────────
class PostStatus(StrEnum):
DRAFT = "draft"
REVIEW = "review"
PUBLISHED = "published"
ARCHIVED = "archived"
SCHEDULED = "scheduled"
class PostCategory(StrEnum):
NEWS = "news" # Platform news
ALERT = "alert" # Security/urgent alerts
UPDATE = "update" # Feature updates
PROMO = "promo" # Promotions/offers
SYSTEM = "system" # System maintenance
COMMUNITY = "community" # Community posts
ANNOUNCEMENT = "announcement" # General announcements
TUTORIAL = "tutorial" # Guides/how-tos
class TargetAudience(StrEnum):
ALL = "all"
FREE = "free"
PREMIUM = "premium"
PRO = "pro"
ENTERPRISE = "enterprise"
ADMINS = "admins"
MODERATORS = "moderators"
class Priority(StrEnum):
LOW = "low"
NORMAL = "normal"
HIGH = "high"
CRITICAL = "critical"
# ── Data Models ─────────────────────────────────────────────
@dataclass
class Post:
"""Bulletin board post."""
post_id: str
title: str
slug: str
content: str
summary: str
category: str
status: str
priority: str
target_audience: str
author_id: str
author_email: str
author_name: str
created_at: str
updated_at: str
published_at: str | None = None
scheduled_at: str | None = None
expires_at: str | None = None
archived_at: str | None = None
pinned: bool = False
pin_order: int = 0
featured_image: str = ""
attachments: list[dict] = field(default_factory=list)
tags: list[str] = field(default_factory=list)
meta_title: str = ""
meta_description: str = ""
og_image: str = ""
view_count: int = 0
click_count: int = 0
engagement_score: float = 0.0
version: int = 1
edit_history: list[dict] = field(default_factory=list)
approved_by: str = ""
approved_at: str | None = None
notification_sent: bool = False
allow_comments: bool = False
comments_count: int = 0
def to_dict(self) -> dict:
return asdict(self)
def to_public_dict(self) -> dict:
"""Return public-safe version (no internal fields)."""
return {
"post_id": self.post_id,
"title": self.title,
"slug": self.slug,
"content": self.content,
"summary": self.summary,
"category": self.category,
"priority": self.priority,
"author_name": self.author_name,
"created_at": self.created_at,
"published_at": self.published_at,
"expires_at": self.expires_at,
"pinned": self.pinned,
"pin_order": self.pin_order,
"featured_image": self.featured_image,
"attachments": self.attachments,
"tags": self.tags,
"meta_title": self.meta_title,
"meta_description": self.meta_description,
"og_image": self.og_image,
"view_count": self.view_count,
"allow_comments": self.allow_comments,
"comments_count": self.comments_count,
}
@dataclass
class Comment:
"""Comment on a post."""
comment_id: str
post_id: str
author_id: str
author_name: str
author_email: str
content: str
created_at: str
updated_at: str
parent_id: str | None = None
status: str = "approved" # approved, pending, rejected
likes: int = 0
replies: list[dict] = field(default_factory=list)
def to_dict(self) -> dict:
return asdict(self)
# ── Content Sanitizer ───────────────────────────────────────
class ContentSanitizer:
"""Sanitize user-generated content to prevent XSS."""
ALLOWED_TAGS: ClassVar[dict] ={
"p",
"br",
"strong",
"b",
"em",
"i",
"u",
"h1",
"h2",
"h3",
"h4",
"h5",
"h6",
"ul",
"ol",
"li",
"a",
"img",
"blockquote",
"code",
"pre",
"table",
"thead",
"tbody",
"tr",
"td",
"th",
"div",
"span",
"hr",
"sub",
"sup",
"del",
"ins",
}
ALLOWED_ATTRS: ClassVar[dict] ={
"a": ["href", "title", "target"],
"img": ["src", "alt", "title", "width", "height"],
"div": ["class"],
"span": ["class"],
"code": ["class"],
"pre": ["class"],
}
@staticmethod
def sanitize(text: str) -> str:
"""Basic HTML sanitization."""
if not text:
return ""
# Escape HTML entities first
text = html.escape(text)
# Then selectively un-escape allowed tags
# This is a simplified approach - in production use bleach or similar
# For now, strip all HTML tags for safety
text = re.sub(r"<[^>]+>", "", text)
return text.strip()
@staticmethod
def generate_slug(title: str) -> str:
"""Generate URL-friendly slug from title."""
slug = re.sub(r"[^\w\s-]", "", title.lower())
slug = re.sub(r"[-\s]+", "-", slug)
return slug[:80]
@staticmethod
def generate_summary(content: str, max_length: int = 200) -> str:
"""Generate summary from content."""
# Strip HTML
text = re.sub(r"<[^>]+>", "", content)
text = text.replace("\n", " ").strip()
if len(text) > max_length:
text = text[:max_length].rsplit(" ", 1)[0] + "..."
return text
# ── Bulletin Board Manager ────────────────────────────────────
class BulletinBoardManager:
"""
Core manager for bulletin board operations.
Uses Redis as primary store + Supabase backup.
"""
@staticmethod
async def _get_redis():
import redis.asyncio as redis_lib
return redis_lib.Redis(
host=os.getenv("REDIS_HOST", "localhost"),
port=int(os.getenv("REDIS_PORT", "6379")),
password=os.getenv("REDIS_PASSWORD", ""),
decode_responses=True,
)
@staticmethod
async def create_post(
title: str,
content: str,
category: str,
author_id: str,
author_email: str,
author_name: str = "",
priority: str = "normal",
target_audience: str = "all",
status: str = "draft",
featured_image: str = "",
attachments: list[dict] | None = None,
tags: list[str] | None = None,
scheduled_at: str | None = None,
expires_at: str | None = None,
pinned: bool = False,
allow_comments: bool = False,
meta_title: str = "",
meta_description: str = "",
) -> Post:
"""Create a new post."""
post_id = f"post_{int(time.time())}_{os.urandom(4).hex()}"
slug = ContentSanitizer.generate_slug(title)
summary = ContentSanitizer.generate_summary(content)
now = datetime.utcnow().isoformat()
# Sanitize content
content = ContentSanitizer.sanitize(content)
post = Post(
post_id=post_id,
title=title[:200],
slug=slug,
content=content,
summary=summary,
category=category,
status=status,
priority=priority,
target_audience=target_audience,
author_id=author_id,
author_email=author_email,
author_name=author_name or author_email.split("@")[0],
created_at=now,
updated_at=now,
scheduled_at=scheduled_at,
expires_at=expires_at,
pinned=pinned,
featured_image=featured_image,
attachments=attachments or [],
tags=tags or [],
meta_title=meta_title or title[:70],
meta_description=meta_description or summary[:160],
allow_comments=allow_comments,
)
r = await BulletinBoardManager._get_redis()
# Save post
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post.to_dict()))
# Add to category index
await r.sadd(f"bulletin:category:{category}", post_id)
# Add to status index
await r.sadd(f"bulletin:status:{status}", post_id)
# Add to author index
await r.sadd(f"bulletin:author:{author_id}", post_id)
# Add to audience index
await r.sadd(f"bulletin:audience:{target_audience}", post_id)
# Add to pinned index if pinned
if pinned:
await r.sadd("bulletin:pinned", post_id)
await r.zadd("bulletin:pinned_order", {post_id: post.pin_order})
# Add to scheduled index if scheduled
if scheduled_at and status == "scheduled":
ts = int(datetime.fromisoformat(scheduled_at).timestamp())
await r.zadd("bulletin:scheduled", {post_id: ts})
# Add to search index (simple word index)
words = set(re.findall(r"\w+", title.lower() + " " + content.lower()))
for word in words:
if len(word) > 2:
await r.sadd(f"bulletin:search:{word}", post_id)
# Save to Supabase
try:
from supabase import create_client
supabase_url = os.getenv("SUPABASE_URL")
supabase_key = os.getenv("SUPABASE_SERVICE_KEY")
if supabase_url and supabase_key:
client = create_client(supabase_url, supabase_key)
client.table("bulletin_posts").insert(post.to_dict()).execute()
except Exception as e:
logger.error(f"Supabase bulletin post save failed: {e}")
return post
@staticmethod
async def get_post(post_id: str, increment_views: bool = False) -> Post | None:
"""Get a post by ID."""
r = await BulletinBoardManager._get_redis()
data = await r.hget("rmi:bulletin_posts", post_id)
if not data:
return None
post_dict = json.loads(data)
if increment_views and post_dict.get("status") == "published":
post_dict["view_count"] = post_dict.get("view_count", 0) + 1
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
return Post(**post_dict)
@staticmethod
async def get_post_by_slug(slug: str) -> Post | None:
"""Get a post by slug."""
r = await BulletinBoardManager._get_redis()
# Search all posts for matching slug
all_posts = await r.hgetall("rmi:bulletin_posts")
for _post_id, data in all_posts.items():
post_dict = json.loads(data)
if post_dict.get("slug") == slug:
return Post(**post_dict)
return None
@staticmethod
async def update_post(
post_id: str,
updates: dict[str, Any],
editor_id: str = "",
editor_email: str = "",
) -> Post | None:
"""Update a post with versioning."""
r = await BulletinBoardManager._get_redis()
data = await r.hget("rmi:bulletin_posts", post_id)
if not data:
return None
post_dict = json.loads(data)
before_state = {k: post_dict.get(k) for k in updates if k in post_dict}
# Record edit history
edit_entry = {
"edited_at": datetime.utcnow().isoformat(),
"edited_by": editor_id,
"editor_email": editor_email,
"changes": before_state,
"version": post_dict.get("version", 1),
}
history = post_dict.get("edit_history", [])
history.append(edit_entry)
post_dict["edit_history"] = history
post_dict["version"] = post_dict.get("version", 1) + 1
post_dict["updated_at"] = datetime.utcnow().isoformat()
# Apply updates
for key, value in updates.items():
if key == "content":
value = ContentSanitizer.sanitize(value)
post_dict["summary"] = ContentSanitizer.generate_summary(value)
if key == "title":
post_dict["slug"] = ContentSanitizer.generate_slug(value)
post_dict[key] = value
# Handle status transitions
old_status = before_state.get("status")
new_status = post_dict.get("status")
if old_status != new_status:
# Update status indexes
if old_status:
await r.srem(f"bulletin:status:{old_status}", post_id)
await r.sadd(f"bulletin:status:{new_status}", post_id)
if new_status == "published":
post_dict["published_at"] = datetime.utcnow().isoformat()
elif new_status == "archived":
post_dict["archived_at"] = datetime.utcnow().isoformat()
# Handle pinning changes
if "pinned" in updates:
if updates["pinned"]:
await r.sadd("bulletin:pinned", post_id)
await r.zadd("bulletin:pinned_order", {post_id: post_dict.get("pin_order", 0)})
else:
await r.srem("bulletin:pinned", post_id)
await r.zrem("bulletin:pinned_order", post_id)
# Save updated post
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
# Update Supabase
try:
from supabase import create_client
supabase_url = os.getenv("SUPABASE_URL")
supabase_key = os.getenv("SUPABASE_SERVICE_KEY")
if supabase_url and supabase_key:
client = create_client(supabase_url, supabase_key)
client.table("bulletin_posts").upsert(post_dict).execute()
except Exception as e:
logger.error(f"Supabase bulletin post update failed: {e}")
return Post(**post_dict)
@staticmethod
async def delete_post(post_id: str) -> bool:
"""Delete a post (soft delete - move to archive)."""
r = await BulletinBoardManager._get_redis()
data = await r.hget("rmi:bulletin_posts", post_id)
if not data:
return False
post_dict = json.loads(data)
post_dict["status"] = "archived"
post_dict["archived_at"] = datetime.utcnow().isoformat()
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
await r.srem("bulletin:status:published", post_id)
await r.srem("bulletin:status:draft", post_id)
await r.srem("bulletin:status:review", post_id)
await r.sadd("bulletin:status:archived", post_id)
await r.srem("bulletin:pinned", post_id)
return True
@staticmethod
async def list_posts(
category: str | None = None,
status: str | None = None,
target_audience: str | None = None,
author_id: str | None = None,
pinned_only: bool = False,
search_query: str | None = None,
tags: list[str] | None = None,
limit: int = 50,
offset: int = 0,
sort_by: str = "created_at",
sort_order: str = "desc",
) -> dict[str, Any]:
"""List posts with filtering."""
r = await BulletinBoardManager._get_redis()
# Start with all posts or filtered set
if pinned_only:
post_ids = await r.smembers("bulletin:pinned")
elif category:
post_ids = await r.smembers(f"bulletin:category:{category}")
elif status:
post_ids = await r.smembers(f"bulletin:status:{status}")
elif author_id:
post_ids = await r.smembers(f"bulletin:author:{author_id}")
elif target_audience:
post_ids = await r.smembers(f"bulletin:audience:{target_audience}")
elif search_query:
# Search by words
words = re.findall(r"\w+", search_query.lower())
if words:
sets = [f"bulletin:search:{w}" for w in words if len(w) > 2]
if sets:
post_ids = await r.sinter(sets)
else:
post_ids = set()
else:
post_ids = set()
else:
all_posts = await r.hgetall("rmi:bulletin_posts")
post_ids = set(all_posts.keys())
# Apply additional filters
if tags:
tagged_posts = set()
all_posts = await r.hgetall("rmi:bulletin_posts")
for pid, data in all_posts.items():
post_dict = json.loads(data)
if any(tag in post_dict.get("tags", []) for tag in tags):
tagged_posts.add(pid)
post_ids = post_ids.intersection(tagged_posts)
# Fetch and sort posts
posts = []
all_posts = await r.hgetall("rmi:bulletin_posts")
for pid in post_ids:
data = all_posts.get(pid)
if data:
post_dict = json.loads(data)
posts.append(post_dict)
# Sort
reverse = sort_order == "desc"
posts.sort(key=lambda x: x.get(sort_by, ""), reverse=reverse)
# Pinned posts first if not pinned_only
if not pinned_only:
pinned_ids = await r.smembers("bulletin:pinned")
posts.sort(
key=lambda x: (x["post_id"] not in pinned_ids, x.get(sort_by, "")),
reverse=not reverse,
)
total = len(posts)
posts = posts[offset : offset + limit]
return {
"posts": posts,
"total": total,
"limit": limit,
"offset": offset,
}
@staticmethod
async def publish_scheduled() -> list[str]:
"""Publish posts that are scheduled for now."""
r = await BulletinBoardManager._get_redis()
now = int(time.time())
# Get scheduled posts that are due
due = await r.zrangebyscore("bulletin:scheduled", 0, now)
published = []
for post_id in due:
data = await r.hget("rmi:bulletin_posts", post_id)
if data:
post_dict = json.loads(data)
post_dict["status"] = "published"
post_dict["published_at"] = datetime.utcnow().isoformat()
post_dict["scheduled_at"] = None
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
await r.srem("bulletin:status:scheduled", post_id)
await r.sadd("bulletin:status:published", post_id)
await r.zrem("bulletin:scheduled", post_id)
published.append(post_id)
return published
@staticmethod
async def archive_expired() -> list[str]:
"""Archive posts that have expired."""
r = await BulletinBoardManager._get_redis()
now = datetime.utcnow().isoformat()
all_posts = await r.hgetall("rmi:bulletin_posts")
archived = []
for post_id, data in all_posts.items():
post_dict = json.loads(data)
if post_dict.get("status") == "published" and post_dict.get("expires_at") and post_dict["expires_at"] < now:
post_dict["status"] = "archived"
post_dict["archived_at"] = now
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
await r.srem("bulletin:status:published", post_id)
await r.sadd("bulletin:status:archived", post_id)
await r.srem("bulletin:pinned", post_id)
archived.append(post_id)
return archived
@staticmethod
async def add_comment(
post_id: str,
author_id: str,
author_name: str,
author_email: str,
content: str,
parent_id: str | None = None,
) -> Comment | None:
"""Add a comment to a post."""
r = await BulletinBoardManager._get_redis()
# Check if post exists and allows comments
post_data = await r.hget("rmi:bulletin_posts", post_id)
if not post_data:
return None
post_dict = json.loads(post_data)
if not post_dict.get("allow_comments", False):
return None
comment_id = f"comment_{int(time.time())}_{os.urandom(4).hex()}"
now = datetime.utcnow().isoformat()
comment = Comment(
comment_id=comment_id,
post_id=post_id,
author_id=author_id,
author_name=author_name,
author_email=author_email,
content=ContentSanitizer.sanitize(content)[:2000],
created_at=now,
updated_at=now,
parent_id=parent_id,
)
await r.hset("rmi:bulletin_comments", comment_id, json.dumps(comment.to_dict()))
await r.sadd(f"bulletin:post_comments:{post_id}", comment_id)
# Update post comment count
post_dict["comments_count"] = post_dict.get("comments_count", 0) + 1
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
return comment
@staticmethod
async def get_comments(post_id: str, limit: int = 100) -> list[dict]:
"""Get comments for a post."""
r = await BulletinBoardManager._get_redis()
comment_ids = await r.smembers(f"bulletin:post_comments:{post_id}")
comments = []
for cid in comment_ids:
data = await r.hget("rmi:bulletin_comments", cid)
if data:
comments.append(json.loads(data))
comments.sort(key=lambda x: x.get("created_at", ""), reverse=True)
return comments[:limit]
@staticmethod
async def get_stats() -> dict[str, Any]:
"""Get bulletin board statistics."""
r = await BulletinBoardManager._get_redis()
stats = {
"total_posts": await r.hlen("rmi:bulletin_posts") or 0,
"published": await r.scard("bulletin:status:published") or 0,
"drafts": await r.scard("bulletin:status:draft") or 0,
"review": await r.scard("bulletin:status:review") or 0,
"archived": await r.scard("bulletin:status:archived") or 0,
"scheduled": await r.scard("bulletin:status:scheduled") or 0,
"pinned": await r.scard("bulletin:pinned") or 0,
"total_comments": await r.hlen("rmi:bulletin_comments") or 0,
"categories": {},
}
# Count by category
for cat in PostCategory:
count = await r.scard(f"bulletin:category:{cat.value}") or 0
stats["categories"][cat.value] = count
return stats
@staticmethod
async def track_engagement(post_id: str, action: str) -> bool:
"""Track engagement (view, click, etc.)."""
r = await BulletinBoardManager._get_redis()
data = await r.hget("rmi:bulletin_posts", post_id)
if not data:
return False
post_dict = json.loads(data)
if action == "view":
post_dict["view_count"] = post_dict.get("view_count", 0) + 1
elif action == "click":
post_dict["click_count"] = post_dict.get("click_count", 0) + 1
# Calculate engagement score
views = post_dict.get("view_count", 0)
clicks = post_dict.get("click_count", 0)
post_dict["engagement_score"] = round((clicks / max(views, 1)) * 100, 2)
await r.hset("rmi:bulletin_posts", post_id, json.dumps(post_dict))
return True
# ═══════════════════════════════════════════════════════════
# BADGES & X402 BOT PAYMENTS
# ═══════════════════════════════════════════════════════════
BADGES = {
"first_post": {
"name": "First Words",
"icon": "💬",
"desc": "Made your first post",
"tier": "bronze",
},
"10_posts": {"name": "Chatterbox", "icon": "📢", "desc": "10 posts", "tier": "bronze"},
"50_posts": {"name": "Board Regular", "icon": "🎙️", "desc": "50 posts", "tier": "silver"},
"100_posts": {
"name": "Terminally Online",
"icon": "🖥️",
"desc": "100 posts - touch grass",
"tier": "gold",
},
"10_upvotes": {
"name": "Approved",
"icon": "👍",
"desc": "10 upvotes on a post",
"tier": "bronze",
},
"50_upvotes": {"name": "Crowd Favorite", "icon": "", "desc": "50 upvotes", "tier": "silver"},
"100_upvotes": {"name": "Legendary", "icon": "👑", "desc": "100 upvotes", "tier": "gold"},
"rug_reporter": {
"name": "Rug Detective",
"icon": "🔍",
"desc": "Reported 3 verified rugs",
"tier": "silver",
},
"scam_buster": {
"name": "Scam Buster",
"icon": "🛡️",
"desc": "10 scam alerts verified",
"tier": "gold",
},
"honeypot_hunter": {
"name": "Honeypot Hunter",
"icon": "🍯",
"desc": "Found 5 honeypots",
"tier": "silver",
},
"whale_watcher": {
"name": "Whale Watcher",
"icon": "🐋",
"desc": "Tracked 10 whale moves",
"tier": "silver",
},
"alpha_caller": {
"name": "Alpha Caller",
"icon": "📈",
"desc": "Called 5 pumps",
"tier": "gold",
},
"degen": {
"name": "Certified Degen",
"icon": "🎰",
"desc": "Posted in every category",
"tier": "gold",
},
"rug_survivor": {
"name": "Rug Survivor",
"icon": "💀",
"desc": "Posted about getting rugged",
"tier": "bronze",
},
"diamond_hands": {
"name": "Diamond Hands",
"icon": "💎",
"desc": "Held through -90%",
"tier": "diamond",
},
"based": {
"name": "Based",
"icon": "🧠",
"desc": "Called a 10x before it happened",
"tier": "diamond",
},
"bot_verified": {
"name": "Verified Bot",
"icon": "🤖",
"desc": "Registered x402 bot",
"tier": "silver",
},
"bot_pro": {"name": "Bot Pro", "icon": "", "desc": "100+ API calls", "tier": "gold"},
}
BADGE_TIERS = {"bronze": "#CD7F32", "silver": "#C0C0C0", "gold": "#FFD700", "diamond": "#B9F2FF"}
async def get_user_badges(user_id: str) -> list:
try:
r = await BulletinBoardManager._get_redis()
ids = await r.smembers(f"bb:badges:{user_id}")
await r.close()
return [{"id": bid, **BADGES[bid]} for bid in ids if bid in BADGES]
except Exception:
return []
async def award_badge(user_id: str, badge_id: str) -> bool:
if badge_id not in BADGES:
return False
try:
r = await BulletinBoardManager._get_redis()
ok = await r.sadd(f"bb:badges:{user_id}", badge_id)
await r.close()
return ok > 0
except Exception:
return False
async def get_user_reputation(user_id: str) -> dict:
try:
r = await BulletinBoardManager._get_redis()
p = r.pipeline()
p.get(f"bb:rep:{user_id}")
p.scard(f"bb:badges:{user_id}")
p.get(f"bb:posts:{user_id}")
rep, bc, pc = await p.execute()
await r.close()
return {"reputation": int(rep or 0), "badge_count": bc or 0, "post_count": int(pc or 0)}
except Exception:
return {"reputation": 0, "badge_count": 0, "post_count": 0}
X402_BB_POST_PRICE = "$1.00"
async def verify_x402_bot(tx_hash: str, bot_addr: str) -> bool:
try:
r = await BulletinBoardManager._get_redis()
if await r.get(f"bb:x402:tx:{tx_hash}"):
await r.close()
return False
await r.setex(f"bb:x402:tx:{tx_hash}", 86400, bot_addr)
await r.setex(f"bb:x402:bot:{bot_addr}", 2592000, "1") # 30 day auth
await r.close()
return True
except Exception:
return False

View file

@ -183,7 +183,10 @@ async def _passthrough_news(**kwargs) -> dict | None:
async def _passthrough_alerts(**kwargs) -> dict | None: async def _passthrough_alerts(**kwargs) -> dict | None:
"""Alerts from our real alert pipeline.""" """Alerts from our real alert pipeline."""
try: try:
from app.alert_pipeline import get_active_alert_count, get_recent_alerts from app.domains.intelligence.alert_pipeline import (
get_active_alert_count,
get_recent_alerts,
)
count = await get_active_alert_count() count = await get_active_alert_count()
recent = await get_recent_alerts(limit=kwargs.get("limit", 20)) recent = await get_recent_alerts(limit=kwargs.get("limit", 20))

View file

@ -362,7 +362,10 @@ async def _passthrough_news(**kwargs) -> dict | None:
async def _passthrough_alerts(**kwargs) -> dict | None: async def _passthrough_alerts(**kwargs) -> dict | None:
"""Alerts from our real alert pipeline.""" """Alerts from our real alert pipeline."""
try: try:
from app.alert_pipeline import get_active_alert_count, get_recent_alerts from app.domains.intelligence.alert_pipeline import (
get_active_alert_count,
get_recent_alerts,
)
count = await get_active_alert_count() count = await get_active_alert_count()
recent = await get_recent_alerts(limit=kwargs.get("limit", 20)) recent = await get_recent_alerts(limit=kwargs.get("limit", 20))

View file

@ -152,7 +152,7 @@ async def handle_webhook(service: str, payload: dict, headers: dict, raw_body: b
risk = _assess_webhook_risk(service, event_type, payload) risk = _assess_webhook_risk(service, event_type, payload)
if risk["level"] in ("HIGH", "CRITICAL"): if risk["level"] in ("HIGH", "CRITICAL"):
try: try:
from app.alert_pipeline import push_alert from app.domains.intelligence.alert_pipeline import push_alert
await push_alert( await push_alert(
title=f"[{service.upper()}] {risk['title']}", title=f"[{service.upper()}] {risk['title']}",

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@ -0,0 +1,25 @@
"""Intelligence domain - public API.
Phase 4 domain consolidation: intelligence-related modules -> app.domains.intelligence.
"""
from __future__ import annotations
from app.domains.intelligence.alert_pipeline import (
get_active_alert_count,
get_recent_alerts,
push_alert,
run_alert_scan,
scan_known_scams,
scan_solana_new_pairs,
)
from app.domains.intelligence.intel_pipeline import run_intelligence_cycle
__all__ = [
"get_active_alert_count",
"get_recent_alerts",
"push_alert",
"run_alert_scan",
"run_intelligence_cycle",
"scan_known_scams",
"scan_solana_new_pairs",
]

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@ -0,0 +1,370 @@
"""
RMI Alert Pipeline - Real-time threat intelligence from scanners.
=================================================================
Feeds the Live Intel panel, WebSocket streams, and alert endpoints.
Data sources:
- SENTINEL scanner (risk scores, scam detection)
- GoPlus security API (honeypot, tax, proxy checks)
- DexScreener new pairs (fresh launches to scan)
- Our own RAG scam patterns
- Wallet label cross-references
Alert flow:
Scanner alert_pipeline.push_alert() Redis sorted set + pub/sub
Homepage reads from /api/v1/alerts/recent
Sidebar reads from /api/v1/alerts/count
WebSocket streams to connected clients
"""
import json
import logging
import os
import time
from datetime import UTC, datetime
logger = logging.getLogger("alert_pipeline")
REDIS_HOST = os.getenv("REDIS_HOST", "rmi-redis")
REDIS_PORT = int(os.getenv("REDIS_PORT", "6379"))
REDIS_PW = os.getenv("REDIS_PASSWORD", "")
ALERT_KEY = "rmi:alerts:recent"
ALERT_COUNT_KEY = "rmi:alerts:count:active"
ALERT_MAX = 500 # Keep last 500 alerts
async def _get_redis():
"""Get async Redis connection."""
import redis.asyncio as aioredis
return aioredis.Redis(
host=REDIS_HOST,
port=REDIS_PORT,
password=REDIS_PW or None,
decode_responses=True,
)
async def get_active_alert_count() -> int:
"""Get count of active (unacknowledged) alerts."""
try:
r = await _get_redis()
count = await r.zcard(ALERT_KEY)
await r.close()
return count
except Exception as e:
logger.debug(f"Alert count error: {e}")
return 0
async def push_alert(
alert_type: str,
title: str,
description: str = "",
severity: str = "high",
chain: str = "unknown",
token: str = "",
token_symbol: str = "",
wallet: str = "",
risk_score: int = 0,
metadata: dict | None = None,
) -> str:
"""
Push a new alert to the pipeline.
Returns alert_id.
"""
alert_id = f"alt_{int(time.time())}_{os.urandom(4).hex()}"
alert = {
"id": alert_id,
"type": alert_type,
"title": title,
"description": description,
"severity": severity,
"chain": chain,
"token": token,
"token_symbol": token_symbol,
"wallet": wallet,
"risk_score": risk_score,
"acknowledged": False,
"created_at": datetime.now(UTC).isoformat(),
**(metadata or {}),
}
try:
r = await _get_redis()
score = time.time()
await r.zadd(ALERT_KEY, {json.dumps(alert): score})
# Trim old alerts
await r.zremrangebyrank(ALERT_KEY, 0, -(ALERT_MAX + 1))
# Pub/sub for WebSocket streaming
await r.publish("rmi:ws:alerts", json.dumps(alert))
await r.close()
logger.info(f"Alert pushed: {alert_type} | {title[:60]}")
except Exception as e:
logger.error(f"Failed to push alert: {e}")
return alert_id
async def get_recent_alerts(limit: int = 20, severity: str = "") -> list[dict]:
"""Get recent alerts with optional severity filter. Normalizes old/new formats."""
try:
r = await _get_redis()
raw = await r.zrevrange(ALERT_KEY, 0, limit * 2 - 1)
await r.close()
alerts = []
for entry in raw:
try:
alert = json.loads(entry)
# Normalize old alert format to new
if "title" not in alert:
alert["title"] = alert.get("message", alert.get("event", "Unknown alert"))
if "description" not in alert:
desc_parts = []
if alert.get("symbol"):
desc_parts.append(f"Token: {alert['symbol']}")
if alert.get("risk_score"):
desc_parts.append(f"Risk: {alert['risk_score']}/100")
flags = alert.get("risk_flags", [])
if flags:
desc_parts.append("; ".join(str(f)[:80] for f in flags[:2]))
alert["description"] = " | ".join(desc_parts)
if "severity" not in alert:
score = alert.get("risk_score", 50)
alert["severity"] = "critical" if score >= 85 else "high" if score >= 65 else "medium"
if "chain" not in alert:
alert["chain"] = alert.get("chain", "unknown")
if severity and alert.get("severity") != severity:
continue
alerts.append(alert)
if len(alerts) >= limit:
break
except json.JSONDecodeError:
pass
return alerts
except Exception as e:
logger.error(f"get_recent_alerts error: {e}")
return []
# ── Alert generators - called by cron jobs or on-demand ──────────
async def scan_solana_new_pairs(limit: int = 5) -> int:
"""
Scan latest Solana pairs from DexScreener for scam patterns.
Pushes alerts for high-risk tokens.
Returns number of alerts generated.
"""
import httpx
pushed = 0
try:
async with httpx.AsyncClient(timeout=15) as client:
resp = await client.get("https://api.dexscreener.com/latest/dex/search", params={"q": "SOL USDC"})
if resp.status_code != 200:
return 0
data = resp.json()
pairs = data.get("pairs", [])[:limit]
for pair in pairs:
token_addr = pair.get("baseToken", {}).get("address", "")
token_name = pair.get("baseToken", {}).get("name", "Unknown")
token_symbol = pair.get("baseToken", {}).get("symbol", "???")
liquidity = float(pair.get("liquidity", {}).get("usd", 0) or 0)
volume = float(pair.get("volume", {}).get("h24", 0) or 0)
price_change = float(pair.get("priceChange", {}).get("h24", 0) or 0)
created_at = pair.get("pairCreatedAt", 0)
age_hours = (time.time() - created_at / 1000) / 3600 if created_at else 999
# Risk heuristics
risk_flags = []
if liquidity < 1000:
risk_flags.append("low_liquidity")
if volume == 0:
risk_flags.append("no_volume")
if price_change < -80:
risk_flags.append(f"crashed_{abs(price_change):.0f}%")
if age_hours < 1 and liquidity < 5000:
risk_flags.append("fresh_launch_low_liq")
if price_change > 500:
risk_flags.append(f"pumped_{price_change:.0f}%")
if risk_flags:
await push_alert(
alert_type="new_pair_risk",
title=f"{token_symbol}: {' | '.join(risk_flags[:2])}",
description=f"New pair {token_name} ({token_symbol}) on Solana. "
f"Liquidity: ${liquidity:,.0f}, Age: {age_hours:.1f}h, "
f"24h change: {price_change:+.1f}%",
severity="critical" if len(risk_flags) >= 3 else "high",
chain="solana",
token=token_addr,
token_symbol=token_symbol,
risk_score=min(90, len(risk_flags) * 25),
metadata={
"risk_flags": risk_flags,
"liquidity_usd": liquidity,
"age_hours": age_hours,
},
)
pushed += 1
return pushed
except Exception as e:
logger.warning(f"Solana scan error: {e}")
return pushed
async def scan_known_scams(limit: int = 3) -> int:
"""
Check our RAG known_scams collection for recently added entries.
Pushes alerts for new scam patterns detected.
"""
pushed = 0
try:
r = await _get_redis()
# Check for recent scam pattern additions
scam_ids = await r.smembers("rag:idx:known_scams")
recent_count = 0
for sid in list(scam_ids)[:20]:
doc = await r.get(f"rag:known_scams:{sid}")
if doc:
try:
data = json.loads(doc)
added = data.get("metadata", {}).get("added_at", "")
if added:
age_h = (time.time() - datetime.fromisoformat(added.replace("Z", "+00:00")).timestamp()) / 3600
if age_h < 24:
recent_count += 1
except Exception:
pass
await r.close()
if recent_count > 0:
await push_alert(
alert_type="scam_pattern_update",
title=f"{recent_count} new scam patterns detected in last 24h",
description="New rug pull, honeypot, or phishing patterns added to the knowledge base.",
severity="high",
chain="multi",
risk_score=85,
)
pushed += 1
return pushed
except Exception as e:
logger.warning(f"Known scams scan error: {e}")
return pushed
async def run_alert_scan() -> dict[str, int]:
"""
Run a full alert scan across all sources.
Called by cron job every 15 minutes.
"""
results = {}
# Scan Solana new pairs
results["solana_pairs"] = await scan_solana_new_pairs(limit=8)
# Scan known scams
results["known_scams"] = await scan_known_scams()
total = sum(results.values())
logger.info(f"Alert scan complete: {total} new alerts ({results})")
return results
# ── Seed some initial alerts if Redis is empty ────────────────────
async def seed_initial_alerts():
"""Seed baseline alerts so the system isn't empty on first run."""
r = await _get_redis()
existing = await r.zcard(ALERT_KEY)
await r.close()
if existing > 0:
return # Already has alerts
seeds = [
(
"honeypot",
"Honeypot detected on Base: 0xdead...",
"Token has sell restrictions and blacklist. Buyers cannot exit.",
"critical",
"base",
),
(
"whale",
"Whale moved 5M USDC to Binance",
"Wallet 0xABCD... transferred $5M USDC to Binance hot wallet. Possible sell pressure.",
"high",
"ethereum",
),
(
"rugpull",
"Liquidity removed from $SCAM token",
"100% of liquidity pool withdrawn by deployer. Token is now worthless.",
"critical",
"solana",
),
(
"bundler",
"Sniper bundle detected: $NEWLAUNCH",
"Coordinated wallet cluster bought 60% of supply in first block.",
"high",
"solana",
),
(
"contract",
"Unverified proxy contract found",
"Token uses upgradeable proxy with unverified implementation. Owner can change logic.",
"high",
"base",
),
(
"concentration",
"90% supply held by 3 wallets on $DANGER",
"Extreme holder concentration. Classic rug pull setup.",
"critical",
"ethereum",
),
(
"wash_trade",
"Wash trading detected on $FAKEVOL",
"95% of volume is self-trading between linked wallets.",
"high",
"bsc",
),
(
"phishing",
"Fake airdrop targeting $BONK holders",
"Phishing site detected posing as official BONK airdrop. Users losing funds.",
"critical",
"solana",
),
]
for alert_type, title, desc, severity, chain in seeds:
await push_alert(
alert_type=alert_type,
title=title,
description=desc,
severity=severity,
chain=chain,
)
logger.info(f"Seeded {len(seeds)} initial alerts")

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@ -0,0 +1,298 @@
"""
RMI Intelligence Pipeline - HF + Supabase + RAG
================================================
Unified intelligence service: scam classification (HF models),
wallet labeling via RAG pattern matching, Supabase hybrid storage.
"""
import hashlib
import logging
import os
from datetime import UTC, datetime
import httpx
from dotenv import load_dotenv
load_dotenv("/app/.env", override=True)
logger = logging.getLogger(__name__)
HF_TOKEN = os.getenv("HF_TOKEN", "")
HF_API = "https://api-inference.huggingface.co/models"
def _get_url():
return os.getenv("SUPABASE_URL", "")
def _get_key():
return os.getenv("SUPABASE_SERVICE_KEY", "")
def _get_headers():
key = _get_key()
return {
"apikey": key,
"Authorization": f"Bearer {key}",
"Content-Type": "application/json",
}
# ── HF Models (Paywalled - using local fallback) ──────
# HF Inference API now requires PRO subscription ($9/mo).
# Using local pattern matching + RAG memory instead.
# Enable HF by setting HUGGINGFACE_TOKEN to a valid PRO key.
SCAM_LABELS = ["scam", "rugpull", "honeypot", "legitimate", "phishing", "ponzi"]
SCAM_KEYWORDS = {
"scam": ["scam", "fraud", "stole", "stolen", "exit scam", "fake"],
"rugpull": ["rug", "rugpull", "pulled liquidity", "drained", "removed liquidity", "lp removed"],
"honeypot": [
"honeypot",
"cannot sell",
"can't sell",
"unable to sell",
"transfer disabled",
"sell tax 100",
],
"phishing": [
"phishing",
"airdrop scam",
"claim reward",
"verify wallet",
"seed phrase",
"private key",
],
"ponzi": [
"ponzi",
"mlm",
"multi level",
"referral rewards",
"guaranteed returns",
"double your",
],
"insider": ["insider", "team wallet", "dev wallet", "pre-sale", "unlocked tokens", "vesting"],
}
async def classify_scam_risk(text: str) -> dict:
"""Classify scam risk using local pattern matching (HF paywalled)."""
text_lower = text.lower()
scores = {}
for label, keywords in SCAM_KEYWORDS.items():
score = sum(1 for kw in keywords if kw in text_lower)
if score > 0:
scores[label] = min(score / len(keywords), 1.0)
try:
from app.rag_service import search_documents
rag_results = await search_documents("known_scams", text, limit=3)
for r in rag_results:
content = r.get("content", "").lower()
for label, keywords in SCAM_KEYWORDS.items():
if any(kw in content for kw in keywords):
scores[label] = scores.get(label, 0) + 0.1
except Exception:
pass
if not scores:
return {
"risk": "low",
"labels": {},
"confidence": 0,
"is_scam": False,
"risk_level": "low",
"model": "local_pattern_match",
}
top = max(scores, key=scores.get)
top_score = scores[top]
is_scam = top in ("scam", "rugpull", "honeypot", "phishing", "ponzi")
return {
"model": "local_pattern_match",
"labels": {k: round(v, 3) for k, v in sorted(scores.items(), key=lambda x: x[1], reverse=True)},
"top_label": top,
"confidence": round(top_score, 3),
"is_scam": is_scam,
"risk_level": "high" if (is_scam and top_score > 0.5) else "medium" if is_scam else "low",
}
async def generate_embedding(text: str) -> list[float] | None:
"""Generate embedding vector for RAG storage using HF free tier."""
if not HF_TOKEN:
return None
async with httpx.AsyncClient(timeout=60) as client:
r = await client.post(
f"{HF_API}/{EMBEDDING_MODEL}", # noqa: F821 -- pre-existing bug, see fix(f821) tracking issue
headers={"Authorization": f"Bearer {HF_TOKEN}"},
json={"inputs": text[:1024]},
)
if r.status_code == 503:
logger.warning("HF embedding cold start, model loading")
return None
if r.status_code == 200:
result = r.json()
# Handle different response formats
if isinstance(result, list) and len(result) > 0:
return result[0] if isinstance(result[0], list) else result
return result
logger.warning(f"HF embedding failed: {r.status_code}")
return None
# ── Wallet Labeling via Pattern Memory ──────────────────
WALLET_PATTERNS = {
"sybil_farmer": [
"funded from exchange within seconds of 100+ other wallets",
"identical funding amounts across multiple wallets",
"no organic activity, only test transactions",
"funded by known Sybil distributor",
],
"wash_trader": [
"circular transfers between related wallets",
"buys and sells same token within minutes",
"volume spikes without holder count changes",
"coordinated buy/sell patterns",
],
"sandwich_bot": [
"high frequency trading with frontrun pattern",
"buys before large buys, sells immediately after",
"MEV extraction patterns",
"flashbots bundle usage",
],
"liquidity_remover": [
"large LP removal shortly after token launch",
"multiple LP positions removed simultaneously",
"liquidity drained to fresh wallet",
"LP removal preceded by marketing push",
],
"honeypot_deployer": [
"deploys tokens that can't be sold",
"reuses contract code across multiple tokens",
"disables transfers after liquidity added",
"ownership not renounced, hidden mint functions",
],
"phishing_operator": [
"sends tokens to many addresses with scam links",
"impersonates legitimate token contracts",
"uses airdrop as phishing vector",
"connects to known phishing domains",
],
"mixer_user": [
"funds pass through Tornado Cash or similar",
"receives from mixer, sends to clean wallet",
"layered mixing through multiple hops",
"funds originate from high-risk sources",
],
"insider_trader": [
"buys tokens before public announcements",
"linked to team wallets or deployers",
"sells immediately after hype peak",
"coordinated timing with other insiders",
],
}
async def label_wallet(wallet_data: dict) -> dict:
"""Label a wallet based on behavioral patterns and RAG memory."""
labels = []
confidence_scores = {}
# Check behavioral patterns
behavior = wallet_data.get("behavior_summary", "")
wallet_data.get("transactions", [])
for label, patterns in WALLET_PATTERNS.items():
score = 0
for pattern in patterns:
if pattern.lower() in behavior.lower():
score += 1
if score > 0:
confidence = min(score / len(patterns), 1.0)
confidence_scores[label] = round(confidence, 2)
if confidence > 0.3:
labels.append({"label": label, "confidence": round(confidence, 2)})
# Query RAG for similar wallet patterns
try:
from app.rag_service import search_documents
rag_results = await search_documents(
"wallet_profiles", wallet_data.get("address", "") + " " + behavior, limit=5
)
if rag_results:
for r in rag_results:
content = r.get("content", "")
for label, patterns in WALLET_PATTERNS.items():
if any(p.lower() in content.lower() for p in patterns):
if label not in confidence_scores:
confidence_scores[label] = 0
confidence_scores[label] = min(confidence_scores[label] + 0.15, 1.0)
except Exception:
pass
labels = [
{"label": k, "confidence": v}
for k, v in sorted(confidence_scores.items(), key=lambda x: x[1], reverse=True)
if v > 0.2
]
return {
"wallet_address": wallet_data.get("address", "unknown"),
"labels": labels[:5],
"primary_label": labels[0]["label"] if labels else "unknown",
"risk_score": max([line["confidence"] for line in labels]) * 100 if labels else 0,
"analyzed_at": datetime.now(UTC).isoformat(),
}
# ── Supabase Hybrid Storage ────────────────────────────
async def sync_to_supabase(collection: str, document: dict) -> dict:
"""Sync RAG document to Supabase for persistent hybrid storage."""
if not _get_url() or not _get_key():
return {"status": "skipped", "reason": "No Supabase config"}
doc_id = hashlib.sha256(f"{collection}:{document.get('content', '')[:100]}".encode()).hexdigest()[:16]
payload = {
"document_id": doc_id,
"collection": collection,
"content": document.get("content", "")[:5000],
"metadata": document.get("metadata", {}),
"synced_at": datetime.now(UTC).isoformat(),
}
headers = _get_headers()
headers["Prefer"] = "resolution=merge-duplicates"
async with httpx.AsyncClient(timeout=15) as client:
r = await client.post(f"{_get_url()}/rest/v1/rag_documents", json=payload, headers=headers)
if r.status_code in (200, 201, 409):
return {"status": "synced", "doc_id": doc_id, "supabase_status": r.status_code}
return {"status": "failed", "error": r.text[:200]}
# ── Batch Processing ───────────────────────────────────
async def run_intelligence_cycle() -> dict:
"""Run a full intelligence cycle: classify, label, embed, sync."""
results = {
"cycle": datetime.now(UTC).isoformat(),
"scam_checks": 0,
"wallet_labels": 0,
"embeddings": 0,
"supabase_syncs": 0,
"errors": [],
}
return results

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"""
Meme Intelligence Platform - Meme Coin Tracking, Smart Money in Memes,
Big Wins/Losses, KOL Scorecards, Social Monitoring.
Integrations:
- DexScreener: meme token launches, trending
- LunarCrush: social sentiment, social dominance
- X/Twitter: KOL posts, viral content
- Telegram: channel monitoring, group sentiment
- Arkham: whale tracking in memes
- Birdeye: Solana meme tokens
- Pump.fun: new meme launches
"""
import logging
import os
from dotenv import load_dotenv
load_dotenv("/app/.env", override=True)
from datetime import UTC, datetime, timedelta # noqa: E402
logger = logging.getLogger(__name__)
# ── Meme Intelligence Data Structures ─────────────────────────
MEME_CHAINS = ["solana", "ethereum", "base", "bsc", "arbitrum"]
MEME_CATEGORIES = {
"dog": ["dog", "doge", "shib", "akita", "kishu"],
"cat": ["cat", "pepe", "mog", "meow"],
"politi": ["trump", "biden", "maga", "politics"],
"celeb": ["celeb", "influencer", "famous"],
"ai": ["ai", "gpt", "neural", "chat"],
"gaming": ["game", "gaming", "nft", "metaverse"],
"other": [],
}
# KOL Database Schema
KOL_DATABASE = {
# Example structure - populate from research
"twitter_handles": [],
"telegram_channels": [],
"wallet_addresses": [],
"track_record": {}, # past calls, win rate
"follower_counts": {},
"engagement_rates": {},
}
# ── Meme Token Intelligence ────────────────────────────────────
async def get_meme_trending(limit: int = 50) -> list[dict]:
"""Get trending meme tokens across chains."""
from app.unified_provider import get_unified_provider
provider = get_unified_provider()
memes = []
for chain in MEME_CHAINS:
try:
# Get trending from DexScreener
trending = await provider.get_dexscreener_trending(chain)
for token in trending[:20]:
# Classify as meme based on name/symbol
category = classify_meme_category(
token.get("baseToken", {}).get("symbol", ""),
token.get("baseToken", {}).get("name", ""),
)
if category != "other":
memes.append(
{
"address": token.get("baseToken", {}).get("address"),
"symbol": token.get("baseToken", {}).get("symbol"),
"name": token.get("baseToken", {}).get("name"),
"chain": chain,
"category": category,
"price_usd": token.get("priceUsd"),
"volume_24h": token.get("volume", {}).get("h24"),
"price_change_24h": token.get("priceChange", {}).get("h24"),
"liquidity_usd": token.get("liquidity", {}).get("usd"),
"fdv": token.get("fdv"),
"pair_age_hours": token.get("pairCreatedAt"),
"is_meme": True,
}
)
except Exception as e:
logger.debug(f"Error getting meme trending for {chain}: {e}")
# Sort by volume
memes.sort(key=lambda x: x.get("volume_24h", 0), reverse=True)
return memes[:limit]
async def get_smart_money_in_memes(limit: int = 20) -> list[dict]:
"""Track known smart money wallets trading memes."""
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
# Query for smart money activities in meme tokens
result = (
supabase.table("smart_money_activities")
.select("""
*,
wallets (
wallet_address,
wallet_label,
wallet_category,
win_rate,
total_pnl_usd
)
""")
.eq("is_meme", True)
.order("amount_usd", desc=True)
.limit(limit)
.execute()
)
return result.data or []
async def get_meme_wins_losses(period: str = "24h") -> dict:
"""Get biggest wins and losses in meme tokens."""
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
# Calculate time range
if period == "24h":
time_range = datetime.now(UTC) - timedelta(hours=24)
elif period == "7d":
time_range = datetime.now(UTC) - timedelta(days=7)
elif period == "30d":
time_range = datetime.now(UTC) - timedelta(days=30)
else:
time_range = datetime.now(UTC) - timedelta(hours=24)
# Get biggest wins
wins = (
supabase.table("whale_movements")
.select("*")
.gte("collected_at", time_range.isoformat())
.eq("transaction_type", "sell")
.order("amount_usd", desc=True)
.limit(20)
.execute()
)
# Get biggest losses
losses = (
supabase.table("whale_movements")
.select("*")
.gte("collected_at", time_range.isoformat())
.eq("transaction_type", "buy")
.order("amount_usd", desc=True)
.limit(20)
.execute()
)
return {
"period": period,
"wins": wins.data or [],
"losses": losses.data or [],
}
def classify_meme_category(symbol: str, name: str) -> str:
"""Classify meme token into category."""
text = f"{symbol} {name}".lower()
for category, keywords in MEME_CATEGORIES.items():
if any(kw in text for kw in keywords):
return category
return "other"
# ── KOL Intelligence ──────────────────────────────────────────
async def get_kol_scorecard(kol_handle: str) -> dict | None:
"""Get KOL scorecard with track record."""
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
# Get KOL profile
result = supabase.table("kols").select("*").eq("twitter_handle", kol_handle).execute()
if not result.data:
return None
kol = result.data[0]
# Get their past calls
calls = (
supabase.table("kol_calls")
.select("*")
.eq("kol_id", kol["id"])
.order("called_at", desc=True)
.limit(50)
.execute()
)
# Calculate stats
total_calls = len(calls.data) if calls.data else 0
winning_calls = len([c for c in (calls.data or []) if c.get("pnl_pct", 0) > 0])
win_rate = (winning_calls / total_calls * 100) if total_calls > 0 else 0
avg_pnl = sum([c.get("pnl_pct", 0) for c in (calls.data or [])]) / total_calls if total_calls > 0 else 0
return {
"kol": kol,
"stats": {
"total_calls": total_calls,
"winning_calls": winning_calls,
"win_rate": round(win_rate, 2),
"average_pnl": round(avg_pnl, 2),
"follower_count": kol.get("follower_count"),
"engagement_rate": kol.get("engagement_rate"),
},
"recent_calls": calls.data[:10] if calls.data else [],
}
async def get_top_kols_by_category(category: str = "memes", limit: int = 20) -> list[dict]:
"""Get top KOLs by category with scorecards."""
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
result = (
supabase.table("kols")
.select("*")
.eq("primary_category", category)
.order("win_rate", desc=True)
.order("follower_count", desc=True)
.limit(limit)
.execute()
)
return result.data or []
# ── Social Monitoring ─────────────────────────────────────────
async def monitor_social_sentiment(token_address: str) -> dict:
"""Monitor social sentiment for a token."""
# LunarCrush integration
try:
from app.lunarcrush_connector import get_lunarcrush_connector
lc = get_lunarcrush_connector()
sentiment = await lc.get_sentiment(token_address)
return {
"token": token_address,
"social_volume": sentiment.get("social_volume"),
"social_dominance": sentiment.get("social_dominance"),
"sentiment_score": sentiment.get("sentiment_score"),
"mentions_24h": sentiment.get("mentions_24h"),
"mentions_change_24h": sentiment.get("mentions_change_24h"),
}
except Exception:
return {"error": "LunarCrush not available"}
async def get_viral_crypto_posts(hours: int = 24) -> list[dict]:
"""Get viral crypto posts from X/Twitter."""
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
time_range = datetime.now(UTC) - timedelta(hours=hours)
result = (
supabase.table("viral_posts")
.select("*")
.gte("posted_at", time_range.isoformat())
.order("engagement_score", desc=True)
.limit(50)
.execute()
)
return result.data or []
# ── Hack/Drain Alerts ────────────────────────────────────────
async def get_recent_hacks_drains(hours: int = 24) -> list[dict]:
"""Get recent hacks and drains from monitoring."""
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
time_range = datetime.now(UTC) - timedelta(hours=hours)
result = (
supabase.table("security_alerts")
.select("*")
.gte("detected_at", time_range.isoformat())
.in_("alert_type", ["hack", "drain", "exploit", "rugpull"])
.order("amount_usd", desc=True)
.limit(50)
.execute()
)
return result.data or []
async def format_hack_alert_for_social(hack_data: dict) -> dict:
"""Format hack alert for X/Telegram posting."""
return {
"x_post": f"""🚨 HACK ALERT 🚨
Protocol: {hack_data.get("protocol_name", "Unknown")}
Amount: ${hack_data.get("amount_usd", 0):,.0f}
Chain: {hack_data.get("chain", "Unknown")}
Type: {hack_data.get("attack_type", "Unknown")}
{hack_data.get("description", "")[:200]}
#CryptoSecurity #DeFi #HackAlert""",
"telegram_post": f"""🚨 *HACK ALERT* 🚨
*Protocol:* {hack_data.get("protocol_name", "Unknown")}
*Amount:* ${hack_data.get("amount_usd", 0):,.0f}
*Chain:* {hack_data.get("chain", "Unknown")}
*Type:* {hack_data.get("attack_type", "Unknown")}
{hack_data.get("description", "")[:500]}
Stay safe out there! 🔒""",
"severity": hack_data.get("severity", "medium"),
"amount_usd": hack_data.get("amount_usd", 0),
}
# ── Wallet Screenshot Generation ──────────────────────────────
async def generate_wallet_screenshot(wallet_address: str, pnl_data: dict) -> str:
"""Generate wallet PnL screenshot for sharing."""
# This would use a graphics API (Alibaba, etc.) to generate images
# For now, return placeholder
return {
"wallet": wallet_address,
"total_pnl": pnl_data.get("total_pnl_usd", 0),
"win_rate": pnl_data.get("win_rate", 0),
"top_wins": pnl_data.get("top_wins", []),
"top_losses": pnl_data.get("top_losses", []),
"image_url": f"/api/v1/images/wallet/{wallet_address}/pnl-summary",
"share_url": f"https://rugmunch.io/wallet/{wallet_address}",
}
# ── Content Generation ────────────────────────────────────────
async def generate_marketing_content(content_type: str, data: dict) -> dict:
"""Generate marketing content using AI."""
# This would call Alibaba's AI API for content generation
templates = {
"win_announcement": """
🎉 BIG WIN ALERT! 🎉
Wallet: {wallet_address[:8]}...{wallet_address[-6:]}
Token: {token_symbol}
Profit: ${pnl_usd:,.0f} ({pnl_pct:.1f}%)
This whale called it early and rode it all the way up! 🐋
Track smart money: https://rugmunch.io/wallet/{wallet_address}
#Crypto #MemeCoin #SmartMoney
""",
"loss_announcement": """
💀 LOSS PORN 💀
Wallet: {wallet_address[:8]}...{wallet_address[-6:]}
Token: {token_symbol}
Loss: ${pnl_usd:,.0f} ({pnl_pct:.1f}%)
Oof. Another reminder to take profits! 📉
Learn from their mistakes: https://rugmunch.io/wallet/{wallet_address}
#Crypto #Trading #LossPorn
""",
"kol_scorecard": """
📊 KOL SCORECARD: @{kol_handle}
Win Rate: {win_rate:.1f}%
Total Calls: {total_calls}
Avg PnL: {avg_pnl:.1f}%
Followers: {follower_count:,}
Track their calls: https://rugmunch.io/kol/{kol_handle}
#CryptoTwitter #KOL #Alpha
""",
}
template = templates.get(content_type, "")
# Format template with data
content = template.format(**data) if template else ""
return {
"content_type": content_type,
"x_post": content[:280],
"telegram_post": content,
"generated_at": datetime.now(UTC).isoformat(),
}

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"""
n8n Workflow Automation - Market Intelligence & Premium Data Pulls.
Scheduled workflows for efficient data collection from multiple sources.
Runs every 30-60 minutes based on scan volume and data freshness needs.
Integrations:
- CoinGecko: trending, global metrics, top gainers/losers
- DexScreener: new pairs, trending tokens, volume spikes
- Dune Analytics: custom queries for whale tracking, scam patterns
- Helius: token mints, large transfers, new token deployments
- Moralis: EVM whale movements, new contract deployments
- Arkham: entity labeling, exchange flows
- Nansen: smart money tracking (if available)
- Forta: real-time threat detection
"""
import logging
from datetime import UTC, datetime
logger = logging.getLogger(__name__)
# ── n8n Workflow Definitions ─────────────────────────────────
N8N_BASE_URL = "https://n8n.rugmunch.io"
N8N_WEBHOOK_URL = f"{N8N_BASE_URL}/webhook"
# Market Intelligence Workflows
MARKET_INTEL_WORKFLOWS = {
"trending_tokens": {
"name": "Trending Tokens Collector",
"schedule": "*/30 * * * *", # Every 30 minutes
"sources": ["coingecko", "dexscreener", "geckoterminal"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/trending",
"description": "Collect trending tokens from multiple DEXs",
"output_table": "market_trending_tokens",
},
"whale_movements": {
"name": "Whale Movement Tracker",
"schedule": "*/15 * * * *", # Every 15 minutes (high priority)
"sources": ["helius", "moralis", "arkham"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/whales",
"description": "Track large transfers across chains",
"output_table": "whale_movements",
},
"new_token_deployments": {
"name": "New Token Deployments",
"schedule": "*/10 * * * *", # Every 10 minutes (fast detection)
"sources": ["helius", "moralis", "dexscreener"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/new-tokens",
"description": "Detect new token deployments in real-time",
"output_table": "new_token_deployments",
},
"volume_spikes": {
"name": "Volume Spike Detector",
"schedule": "*/5 * * * *", # Every 5 minutes (critical)
"sources": ["dexscreener", "geckoterminal", "birdeye"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/volume-spikes",
"description": "Detect unusual volume increases",
"output_table": "volume_spikes",
},
"global_metrics": {
"name": "Market Global Metrics",
"schedule": "0 * * * *", # Every hour
"sources": ["coingecko"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/global",
"description": "Global crypto market metrics",
"output_table": "market_global_metrics",
},
"defi_protocols": {
"name": "DeFi Protocol Analytics",
"schedule": "0 */2 * * *", # Every 2 hours
"sources": ["defillama", "dune"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/defi",
"description": "DeFi TVL, volume, user metrics",
"output_table": "defi_protocol_metrics",
},
"nft_market": {
"name": "NFT Market Intelligence",
"schedule": "0 */4 * * *", # Every 4 hours
"sources": ["alchemy", "opensea_api"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/nft",
"description": "NFT floor prices, volume, trends",
"output_table": "nft_market_metrics",
},
}
# Premium Intelligence Workflows
PREMIUM_INTEL_WORKFLOWS = {
"smart_money_tracking": {
"name": "Smart Money Tracker",
"schedule": "*/30 * * * *", # Every 30 minutes
"sources": ["nansen", "arkham", "dune"],
"endpoint": f"{N8N_WEBHOOK_URL}/premium/smart-money",
"description": "Track known smart money wallets",
"output_table": "smart_money_activities",
"tier": "premium",
},
"exchange_flows": {
"name": "Exchange Flow Analysis",
"schedule": "*/15 * * * *", # Every 15 minutes
"sources": ["arkham", "dune", "glassnode"],
"endpoint": f"{N8N_WEBHOOK_URL}/premium/exchange-flows",
"description": "Track exchange inflows/outflows",
"output_table": "exchange_flows",
"tier": "premium",
},
"insider_trading": {
"name": "Insider Trading Detection",
"schedule": "*/20 * * * *", # Every 20 minutes
"sources": ["dune", "arkham", "helius"],
"endpoint": f"{N8N_WEBHOOK_URL}/premium/insider",
"description": "Detect potential insider trading patterns",
"output_table": "insider_trading_alerts",
"tier": "premium_plus",
},
"launchpad_monitor": {
"name": "Launchpad Monitor",
"schedule": "*/10 * * * *", # Every 10 minutes
"sources": ["dexscreener", "pumpfun_api", "geckoterminal"],
"endpoint": f"{N8N_WEBHOOK_URL}/premium/launchpad",
"description": "Monitor new launches across platforms",
"output_table": "launchpad_monitoring",
"tier": "premium",
},
"cluster_analysis": {
"name": "Cluster Pattern Analysis",
"schedule": "0 */2 * * *", # Every 2 hours
"sources": ["internal_clustering", "dune"],
"endpoint": f"{N8N_WEBHOOK_URL}/premium/clusters",
"description": "Deep cluster pattern analysis",
"output_table": "cluster_patterns",
"tier": "premium_plus",
},
}
# Security Intelligence Workflows
SECURITY_INTEL_WORKFLOWS = {
"scam_detection": {
"name": "Real-time Scam Detection",
"schedule": "*/5 * * * *", # Every 5 minutes (critical)
"sources": ["forta", "internal_ml", "community_reports"],
"endpoint": f"{N8N_WEBHOOK_URL}/security/scams",
"description": "Detect new scam patterns",
"output_table": "scam_alerts",
"priority": "critical",
},
"rugpull_detection": {
"name": "Rugpull Detection",
"schedule": "*/2 * * * *", # Every 2 minutes (ultra-critical)
"sources": ["internal_ml", "liquidity_monitor"],
"endpoint": f"{N8N_WEBHOOK_URL}/security/rugpulls",
"description": "Detect rugpull patterns in real-time",
"output_table": "rugpull_alerts",
"priority": "critical",
},
"contract_vulnerabilities": {
"name": "Contract Vulnerability Scanner",
"schedule": "0 * * * *", # Every hour
"sources": ["slither", "mythril", "internal_scanner"],
"endpoint": f"{N8N_WEBHOOK_URL}/security/vulnerabilities",
"description": "Scan new contracts for vulnerabilities",
"output_table": "contract_vulnerabilities",
"priority": "high",
},
"phishing_detection": {
"name": "Phishing Domain Detection",
"schedule": "0 */6 * * *", # Every 6 hours
"sources": ["guardian", "cryptoscamdb", "community"],
"endpoint": f"{N8N_WEBHOOK_URL}/security/phishing",
"description": "Detect new phishing domains",
"output_table": "phishing_domains",
"priority": "high",
},
}
# ── n8n Workflow Execution ────────────────────────────────────
async def trigger_n8n_workflow(workflow_name: str, data: dict | None = None) -> bool:
"""Trigger an n8n workflow via webhook."""
import httpx
# Find workflow config
all_workflows = {
**MARKET_INTEL_WORKFLOWS,
**PREMIUM_INTEL_WORKFLOWS,
**SECURITY_INTEL_WORKFLOWS,
}
workflow = all_workflows.get(workflow_name)
if not workflow:
logger.error(f"Workflow not found: {workflow_name}")
return False
webhook_url = workflow["endpoint"]
try:
async with httpx.AsyncClient(timeout=30.0) as client:
response = await client.post(
webhook_url,
json={
"workflow": workflow_name,
"triggered_at": datetime.now(UTC).isoformat(),
"data": data or {},
},
)
if response.status_code in (200, 201, 202):
logger.info(f"Triggered workflow: {workflow_name}")
return True
else:
logger.error(f"Workflow trigger failed: {workflow_name} - {response.status_code}")
return False
except Exception as e:
logger.error(f"Workflow trigger error: {workflow_name} - {e}")
return False
async def execute_market_intelligence_pull(workflow_name: str):
"""Execute a market intelligence data pull."""
workflow = MARKET_INTEL_WORKFLOWS.get(workflow_name)
if not workflow:
return
logger.info(f"Executing market intel pull: {workflow['name']}")
# Collect data from sources
collected_data = {
"workflow": workflow_name,
"sources": workflow["sources"],
"collected_at": datetime.now(UTC).isoformat(),
"data": {},
}
# Source-specific collection logic
for source in workflow["sources"]:
try:
if source == "coingecko":
from app.coingecko_connector import get_coingecko_connector
connector = get_coingecko_connector()
if "trending" in workflow_name.lower():
trending = await connector.get_trending()
collected_data["data"]["coingecko_trending"] = trending
elif "global" in workflow_name.lower():
global_data = await connector.get_global_metrics()
collected_data["data"]["coingecko_global"] = global_data
elif source == "dexscreener":
from app.unified_provider import get_unified_provider
provider = get_unified_provider()
if "trending" in workflow_name.lower():
trending = await provider.get_dexscreener_trending()
collected_data["data"]["dexscreener_trending"] = trending
elif "volume" in workflow_name.lower():
spikes = await provider.get_volume_spikes()
collected_data["data"]["dexscreener_spikes"] = spikes
elif source == "helius":
from app.chain_client import get_chain_client
client = get_chain_client()
if "new" in workflow_name.lower():
new_tokens = await client.get_new_token_mints(limit=50)
collected_data["data"]["helius_new_tokens"] = new_tokens
elif "whale" in workflow_name.lower():
whales = await client.get_large_transfers(limit=20)
collected_data["data"]["helius_whales"] = whales
except Exception as e:
logger.error(f"Error collecting from {source}: {e}")
collected_data["data"][source] = {"error": str(e)}
# Store in Supabase
await _store_intelligence_data(workflow["output_table"], collected_data)
# Trigger alerts if needed
await _process_intelligence_alerts(workflow_name, collected_data)
async def _store_intelligence_data(table_name: str, data: dict):
"""Store intelligence data in Supabase."""
try:
import os
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
# Insert data
supabase.table(table_name).insert(
{
"data": data,
"collected_at": data.get("collected_at"),
"workflow": data.get("workflow"),
}
).execute()
logger.info(f"Stored intelligence data in {table_name}")
except Exception as e:
logger.error(f"Failed to store intelligence data: {e}")
async def _process_intelligence_alerts(workflow_name: str, data: dict):
"""Process intelligence data and trigger alerts."""
# Check for significant findings
if "whale" in workflow_name.lower():
# Check for unusually large transfers
whales = data.get("data", {}).get("helius_whales", [])
for whale in whales:
amount = whale.get("amount", 0)
if amount > 1000: # >1000 SOL
await _create_alert("whale_movement", whale)
elif "scam" in workflow_name.lower() or "rugpull" in workflow_name.lower():
# Immediate alert for security issues
await _create_alert("security_critical", data)
elif "volume" in workflow_name.lower():
# Check for unusual volume spikes
spikes = data.get("data", {}).get("dexscreener_spikes", [])
for spike in spikes:
if spike.get("volume_change_pct", 0) > 500: # >500% increase
await _create_alert("volume_spike", spike)
async def _create_alert(alert_type: str, data: dict):
"""Create an intelligence alert."""
try:
import os
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
alert_data = {
"alert_type": alert_type,
"severity": "critical" if "security" in alert_type else "high",
"data": data,
"created_at": datetime.now(UTC).isoformat(),
"is_read": False,
}
supabase.table("intelligence_alerts").insert(alert_data).execute()
logger.info(f"Created intelligence alert: {alert_type}")
except Exception as e:
logger.error(f"Failed to create alert: {e}")
# ── Dune Analytics Integration ────────────────────────────────
async def execute_dune_query(query_id: str, params: dict | None = None) -> dict | None:
"""Execute a Dune Analytics query."""
import os
import httpx
dune_api_key = os.getenv("DUNE_API_KEY", "")
if not dune_api_key:
logger.warning("DUNE_API_KEY not configured")
return None
try:
async with httpx.AsyncClient(timeout=60.0) as client:
# Execute query
response = await client.post(
f"https://api.dune.com/api/v1/query/{query_id}/execute",
headers={"X-Dune-API-Key": dune_api_key},
json=params or {},
)
if response.status_code != 200:
logger.error(f"Dune query failed: {response.status_code}")
return None
execution_id = response.json().get("execution_id")
# Wait for results
import asyncio
for _ in range(10): # Max 10 attempts
await asyncio.sleep(2)
result_response = await client.get(
f"https://api.dune.com/api/v1/execution/{execution_id}/results",
headers={"X-Dune-API-Key": dune_api_key},
)
if result_response.status_code == 200:
result = result_response.json()
if result.get("state") == "QUERY_STATE_COMPLETED":
return result.get("result", {}).get("rows", [])
return None
except Exception as e:
logger.error(f"Dune query error: {e}")
return None
# Pre-configured Dune queries for RMI
DUNE_QUERIES = {
"ethereum_whale_transfers": {
"query_id": "1234567", # Replace with actual query ID
"description": "Track large ETH transfers from known whale wallets",
"schedule": "*/15 * * * *",
},
"defi_protocol_volumes": {
"query_id": "2345678",
"description": "Daily DEX volumes across major protocols",
"schedule": "0 * * * *",
},
"nft_wash_trading": {
"query_id": "3456789",
"description": "Detect potential NFT wash trading patterns",
"schedule": "0 */6 * * *",
},
"stablecoin_flows": {
"query_id": "4567890",
"description": "Track USDC/USDT flows to/from exchanges",
"schedule": "*/30 * * * *",
},
"new_contract_deployments": {
"query_id": "5678901",
"description": "New contract deployments with large funding",
"schedule": "*/10 * * * *",
},
}

View file

@ -0,0 +1,165 @@
#!/usr/bin/env python3
"""
RMI News Intelligence v3 - Industry Best
=========================================
AI-powered news pipeline: categorization, sentiment, trending, briefing.
Uses MiniMax ($20/mo flat) + Ollama Cloud.
"""
import json
import logging
import os
import urllib.request
from collections import Counter
from datetime import UTC, datetime
logger = logging.getLogger("rmi.news_v3")
OLLAMA_KEY = os.getenv("OLLAMA_API_KEY", os.getenv("DEEPSEEK_API_KEY", ""))
OLLAMA_URL = "https://ollama.com/v1/chat/completions"
# Simple in-memory trending tracker
_trending_topics = Counter()
_breaking_alerts = []
def analyze_article(title: str, content: str = "") -> dict:
"""Full AI analysis of a news article."""
text = f"{title} {content[:300]}"
# Category (fast, cached)
from app.ai_pipeline_v3 import classify_news
category = classify_news(title, content)
# Sentiment via MiniMax (batched - 1 call per article is fine at flat rate)
sentiment = "neutral"
try:
k = os.getenv("OLLAMA_API_KEY", "")
if not k:
with open("/app/.env") as f:
for line in f:
if line.startswith("OLLAMA_API_KEY"):
k = line.strip().split("=", 1)[1]
break
if not k:
return {"category": category, "sentiment": "neutral", "is_breaking": False}
body = json.dumps(
{
"model": "deepseek-v4-flash",
"messages": [
{
"role": "system",
"content": "Classify sentiment: BULLISH BEARISH NEUTRAL. Reply one word only.",
},
{"role": "user", "content": text[:400]},
],
"max_tokens": 10,
"temperature": 0.1,
}
).encode()
req = urllib.request.Request(
OLLAMA_URL,
data=body,
headers={"Authorization": f"Bearer {k}", "Content-Type": "application/json"},
)
resp = urllib.request.urlopen(req, timeout=8)
sentiment = json.loads(resp.read())["choices"][0]["message"]["content"].strip().upper()
if "BULL" in sentiment:
sentiment = "bullish"
elif "BEAR" in sentiment:
sentiment = "bearish"
else:
sentiment = "neutral"
except Exception as e:
logger.warning(f"Sentiment failed: {e}")
# Track trending topics
for word in title.lower().split():
if len(word) > 4 and word not in (
"after",
"before",
"while",
"could",
"would",
"should",
"their",
"there",
"these",
"those",
"about",
"which",
):
_trending_topics[word] += 1
# Detect breaking news
is_breaking = category == "SCAM" or any(
w in text.lower() for w in ["hacked", "exploited", "drained", "rug pulled", "emergency"]
)
return {
"category": category,
"sentiment": sentiment,
"is_breaking": is_breaking,
"analyzed_at": datetime.now(UTC).isoformat(),
}
def get_trending(limit: int = 10) -> list:
"""Get trending topics from recent article analysis."""
return [{"topic": word, "count": count} for word, count in _trending_topics.most_common(limit)]
def get_breaking() -> list:
"""Get breaking news alerts."""
return _breaking_alerts[-10:]
def daily_briefing() -> str:
"""Generate an AI-powered daily news briefing using Ollama Cloud."""
trending = get_trending(5)
topics = ", ".join(f"{t['topic']}({t['count']})" for t in trending)
k = OLLAMA_KEY
body = json.dumps(
{
"model": "deepseek-v4-flash",
"messages": [
{
"role": "system",
"content": "Write a 3-sentence daily crypto news briefing. Mention trending topics. Professional tone. Under 100 words.",
},
{"role": "user", "content": f"Trending topics: {topics}"},
],
"max_tokens": 150,
"temperature": 0.5,
}
).encode()
try:
req = urllib.request.Request(
OLLAMA_URL,
data=body,
headers={"Authorization": f"Bearer {k}", "Content-Type": "application/json"},
)
resp = urllib.request.urlopen(req, timeout=15)
return json.loads(resp.read())["choices"][0]["message"]["content"].strip()
except Exception:
return f"Daily briefing: {topics} are trending in crypto news today."
def news_search(query: str, articles: list, limit: int = 10) -> list:
"""Smart search across articles with relevance ranking."""
results = []
q_lower = query.lower()
for a in articles:
score = 0
if q_lower in a.get("title", "").lower():
score += 10
if q_lower in a.get("content", "").lower():
score += 5
if q_lower in a.get("category", "").lower():
score += 3
if score > 0:
a["relevance"] = score
results.append(a)
return sorted(results, key=lambda x: x.get("relevance", 0), reverse=True)[:limit]

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@ -0,0 +1,19 @@
"""Markets domain - public API.
Phase 4 domain consolidation: app.prediction_market_service -> app.domains.markets.
"""
from __future__ import annotations
from app.domains.markets.core import (
PredictionDigest,
PredictionMarket,
PredictionMarketService,
get_prediction_market_service,
)
__all__ = [
"PredictionDigest",
"PredictionMarket",
"PredictionMarketService",
"get_prediction_market_service",
]

1122
app/domains/markets/core.py Normal file

File diff suppressed because it is too large Load diff

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@ -0,0 +1,33 @@
"""MCP domain - public API.
Phase 4 domain consolidation: app.mcp -> app.domains.mcp.
"""
from __future__ import annotations
from app.domains.mcp.registry import TOOL_CATEGORIES, get_tool_by_name
from app.domains.mcp.server import (
MCP_PROTOCOL_VERSION,
MCP_SERVER_VERSION,
TOOL_CATALOG,
TOOL_DEPRECATED,
TOOL_SUCCESSORS,
TOOL_VERSIONS,
call_tool,
)
from app.domains.mcp.x402_mcp_server import TOOLS, handle_mcp_call
from app.domains.mcp.x402_tool_manager import X402ToolManager
__all__ = [
"MCP_PROTOCOL_VERSION",
"MCP_SERVER_VERSION",
"TOOLS",
"TOOL_CATALOG",
"TOOL_CATEGORIES",
"TOOL_DEPRECATED",
"TOOL_SUCCESSORS",
"TOOL_VERSIONS",
"X402ToolManager",
"call_tool",
"get_tool_by_name",
"handle_mcp_call",
]

View file

@ -4,8 +4,8 @@ from __future__ import annotations
import logging import logging
from app.mcp.manifest import MCPServerManifest, MCPToolManifest from app.domains.mcp.manifest import MCPServerManifest, MCPToolManifest
from app.mcp.server import ( from app.domains.mcp.server import (
TOOL_CATALOG, TOOL_CATALOG,
TOOL_DEPRECATED, TOOL_DEPRECATED,
TOOL_SUCCESSORS, TOOL_SUCCESSORS,

View file

@ -18,7 +18,7 @@ from typing import Any
from fastapi import APIRouter, Request from fastapi import APIRouter, Request
from pydantic import BaseModel from pydantic import BaseModel
from app.mcp.server import ( from app.domains.mcp.server import (
MCP_PROTOCOL_VERSION, MCP_PROTOCOL_VERSION,
MCP_SERVER_VERSION, MCP_SERVER_VERSION,
TOOL_CATALOG, TOOL_CATALOG,

View file

@ -601,7 +601,7 @@ async def call_tool(name: str, arguments: dict) -> dict:
limit = min(int(arguments.get("limit", 1000)), 10000) limit = min(int(arguments.get("limit", 1000)), 10000)
try: try:
from app.mcp.tools.eth_labels_tool import query_eth_labels_db_mcp from app.domains.mcp.tools.eth_labels_tool import query_eth_labels_db_mcp
result = await query_eth_labels_db_mcp(sql, limit) result = await query_eth_labels_db_mcp(sql, limit)
return {"result": result} return {"result": result}
@ -611,7 +611,7 @@ async def call_tool(name: str, arguments: dict) -> dict:
if name == "eth_labels_stats": if name == "eth_labels_stats":
# T22: Get statistics about eth-labels.db # T22: Get statistics about eth-labels.db
try: try:
from app.mcp.tools.eth_labels_tool import get_eth_labels_stats_mcp from app.domains.mcp.tools.eth_labels_tool import get_eth_labels_stats_mcp
result = await get_eth_labels_stats_mcp() result = await get_eth_labels_stats_mcp()
return {"result": result} return {"result": result}
@ -620,7 +620,7 @@ async def call_tool(name: str, arguments: dict) -> dict:
if name == "mcp_discover": if name == "mcp_discover":
# MCP catalog discovery with versioning + deprecation + category filtering # MCP catalog discovery with versioning + deprecation + category filtering
from app.mcp.registry import TOOL_CATEGORIES # lazy: avoid circular import from app.domains.mcp.registry import TOOL_CATEGORIES # lazy: avoid circular import
include_deprecated = arguments.get("include_deprecated", False) include_deprecated = arguments.get("include_deprecated", False)
category = arguments.get("category") category = arguments.get("category")

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@ -0,0 +1,31 @@
"""Referral domain - public API.
Phase 4 domain consolidation: extracted from telegram/rugmunchbot/bot.py.
"""
from __future__ import annotations
from app.domains.referral.core import (
MILESTONES,
REFERRAL_BONUS_SCANS,
apply_referral_code,
generate_referral_link,
get_referral_stats,
)
from app.domains.referral.partners import (
DEX_REF_LINKS,
PARTNER_CODES,
dex_buttons,
format_dex_url,
)
__all__ = [
"DEX_REF_LINKS",
"MILESTONES",
"PARTNER_CODES",
"REFERRAL_BONUS_SCANS",
"apply_referral_code",
"dex_buttons",
"format_dex_url",
"generate_referral_link",
"get_referral_stats",
]

View file

@ -0,0 +1,77 @@
"""Referral domain - Telegram bot referral system.
Phase 4 domain consolidation: extracted from telegram/rugmunchbot/bot.py.
"""
from __future__ import annotations
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
import sqlite3
REFERRAL_BONUS_SCANS = 5
MILESTONES = {5: "🥉", 10: "🥈", 25: "🥇", 50: "💎", 100: "👑"}
def apply_referral_code(
user_id: int,
ref_code: str,
user_referral_code: str | None,
referred_by: str | None,
conn: sqlite3.Connection,
) -> bool:
"""Apply a referral code for a new/existing user.
Returns True if the referral was successfully applied.
"""
if not ref_code or ref_code == user_referral_code or referred_by:
return False
referrer = conn.execute(
"SELECT user_id FROM users WHERE referral_code = ?", (ref_code,)
).fetchone()
if not referrer:
return False
conn.execute(
"UPDATE users SET referred_by = ?, bonus_scans = bonus_scans + ? WHERE user_id = ?",
(ref_code, REFERRAL_BONUS_SCANS, user_id),
)
conn.execute(
"UPDATE users SET bonus_scans = bonus_scans + ? WHERE user_id = ?",
(REFERRAL_BONUS_SCANS, referrer["user_id"]),
)
conn.commit()
return True
def get_referral_stats(user_id: int, referral_code: str, conn: sqlite3.Connection) -> dict[str, Any]:
"""Return referral stats for a user.
Includes total referrals, bonus scans earned, next milestone info, and share link.
"""
count_row = conn.execute(
"SELECT COUNT(*) as c FROM users WHERE referred_by = ?", (referral_code,)
).fetchone()
count = count_row["c"] if count_row else 0
next_ms = next((k for k in sorted(MILESTONES.keys()) if k > count), None)
ms_text = (
f"\n🎯 Next milestone: {MILESTONES[next_ms]} {next_ms} referrals"
if next_ms
else "\n👑 You've hit all milestones!"
)
return {
"user_id": user_id,
"referral_code": referral_code,
"count": count,
"bonus_earned": count * REFERRAL_BONUS_SCANS,
"next_milestone_text": ms_text,
}
def generate_referral_link(bot_username: str, referral_code: str) -> str:
"""Generate a Telegram referral start link."""
return f"https://t.me/{bot_username}?start=ref_{referral_code}"

View file

@ -0,0 +1,93 @@
"""Referral partner links and helpers.
Phase 4 domain consolidation: DEX/DeFi partner referral data extracted from
telegram bot config so it can be reused by scanners, web, and Telegram.
"""
from __future__ import annotations
from telegram import InlineKeyboardButton
# Partner referral codes / handles. Keep canonical here.
PARTNER_CODES = {
"jupiter": "rugmunch",
"photon": "rugmunch",
"bullx": "rugmunch",
"gmgn": "rugmunch",
"birdeye": "rugmunch",
"oneinch": "rugmunch",
"pancakeswap": "rugmunch",
}
DEX_REF_LINKS = {
"jupiter": {
"name": "Jupiter",
"emoji": "🪐",
"url": "https://jup.ag/swap/SOL-{token}?ref=rugmunch",
"chains": ["solana"],
"description": "Best Solana DEX aggregator",
},
"photon": {
"name": "Photon",
"emoji": "",
"url": "https://photon-sol.tinyastro.io/en/lp/{token}?handle=rugmunch",
"chains": ["solana", "ethereum", "base"],
"description": "Fast Solana trading terminal",
},
"bullx": {
"name": "BullX",
"emoji": "🐂",
"url": "https://neo.bullx.io/terminal?chain={chain}&address={token}&ref=rugmunch",
"chains": ["solana", "ethereum", "base", "bsc", "arbitrum"],
"description": "Multi-chain trading bot",
},
"gmgn": {
"name": "GMGN.ai",
"emoji": "📊",
"url": "https://gmgn.ai/sol/token/{token}?ref=rugmunch",
"chains": ["solana", "ethereum", "base"],
"description": "Smart money tracking + trading",
},
"birdeye": {
"name": "Birdeye",
"emoji": "🦅",
"url": "https://birdeye.so/token/{token}?ref=rugmunch",
"chains": ["solana", "ethereum", "base", "bsc", "arbitrum"],
"description": "Token analytics & charts",
},
"oneinch": {
"name": "1inch",
"emoji": "🦄",
"url": "https://app.1inch.io/#/{chain_id}/simple/swap/ETH/{token}?ref=rugmunch",
"chains": ["ethereum", "base", "arbitrum", "bsc", "polygon", "avalanche"],
"description": "Best EVM DEX aggregator",
},
"pancakeswap": {
"name": "PancakeSwap",
"emoji": "🥞",
"url": "https://pancakeswap.finance/swap?inputCurrency=BNB&outputCurrency={token}&ref=rugmunch",
"chains": ["bsc", "ethereum", "arbitrum", "base"],
"description": "BSC's #1 DEX",
},
}
def format_dex_url(platform: str, token: str, chain: str, chain_id: int) -> str | None:
"""Return a formatted referral URL for a DEX partner, or None if unsupported."""
dex = DEX_REF_LINKS.get(platform)
if not dex or chain.lower() not in dex.get("chains", []):
return None
return dex["url"].format(token=token, chain=chain, chain_id=chain_id)
def dex_buttons(token: str, chain: str, chain_id: int) -> list[InlineKeyboardButton]:
"""Generate Telegram inline buttons for DEX partners supporting the given chain."""
buttons = []
for _key, dex in DEX_REF_LINKS.items():
if chain.lower() in dex.get("chains", []):
url = dex["url"].format(
token=token,
chain=chain,
chain_id=chain_id,
)
buttons.append(InlineKeyboardButton(f"{dex['emoji']} {dex['name']}", url=url))
return buttons

View file

@ -42,6 +42,12 @@ from telegram.ext import (
) )
# ── Local imports ── # ── Local imports ──
from app.domains.referral import (
apply_referral_code,
dex_buttons,
generate_referral_link,
get_referral_stats,
)
from app.domains.telegram.rugmunchbot import db from app.domains.telegram.rugmunchbot import db
from app.domains.telegram.rugmunchbot.config import ( from app.domains.telegram.rugmunchbot.config import (
BACKEND_URL, BACKEND_URL,
@ -51,7 +57,6 @@ from app.domains.telegram.rugmunchbot.config import (
BOT_USERNAME, BOT_USERNAME,
CHAIN_IDS, CHAIN_IDS,
CHANNELS, CHANNELS,
DEX_REF_LINKS,
DEXSCREENER, DEXSCREENER,
GOPLUS, GOPLUS,
HONEYPOT, HONEYPOT,
@ -157,18 +162,6 @@ def web_scan_button(address: str, chain: str = "") -> InlineKeyboardButton:
return InlineKeyboardButton("🌐 Full Report on RugMunch.io", url=url) return InlineKeyboardButton("🌐 Full Report on RugMunch.io", url=url)
def dex_buttons(token: str, chain: str) -> list[InlineKeyboardButton]:
buttons = []
for _key, dex in DEX_REF_LINKS.items():
if chain.lower() in dex.get("chains", []):
url = dex["url"].format(
token=token,
chain=chain,
chain_id=CHAIN_IDS.get(chain.lower(), 1),
)
buttons.append(InlineKeyboardButton(f"{dex['emoji']} {dex['name']}", url=url))
return buttons
def social_proof_text() -> str: def social_proof_text() -> str:
"""Dynamic social proof from DB stats.""" """Dynamic social proof from DB stats."""
@ -670,7 +663,7 @@ def scan_result_kb(address: str, chain: str) -> InlineKeyboardMarkup:
InlineKeyboardButton("⭐ Watch", callback_data=f"watch_{address}_{chain}"), InlineKeyboardButton("⭐ Watch", callback_data=f"watch_{address}_{chain}"),
], ],
] ]
dex_btns = dex_buttons(address, chain) dex_btns = dex_buttons(address, chain, CHAIN_IDS.get(chain.lower(), 1))
for i in range(0, len(dex_btns), 2): for i in range(0, len(dex_btns), 2):
rows.append(dex_btns[i : i + 2]) rows.append(dex_btns[i : i + 2])
rows.append([InlineKeyboardButton("◀️ Menu", callback_data="menu_main")]) rows.append([InlineKeyboardButton("◀️ Menu", callback_data="menu_main")])
@ -747,19 +740,16 @@ async def cmd_start(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
# Referral handling # Referral handling
if ctx.args and ctx.args[0].startswith("ref_"): if ctx.args and ctx.args[0].startswith("ref_"):
ref_code = ctx.args[0][4:] ref_code = ctx.args[0][4:]
if ref_code != u.get("referral_code") and not u.get("referred_by"): conn = db.get_db()
conn = db.get_db() try:
referrer = conn.execute("SELECT user_id FROM users WHERE referral_code = ?", (ref_code,)).fetchone() apply_referral_code(
if referrer: user.id,
conn.execute( ref_code,
"UPDATE users SET referred_by = ?, bonus_scans = bonus_scans + 5 WHERE user_id = ?", u.get("referral_code"),
(ref_code, user.id), u.get("referred_by"),
) conn,
conn.execute( )
"UPDATE users SET bonus_scans = bonus_scans + 5 WHERE user_id = ?", finally:
(referrer["user_id"],),
)
conn.commit()
conn.close() conn.close()
proof = social_proof_text() proof = social_proof_text()
@ -1346,24 +1336,19 @@ async def cmd_refer(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
user = update.effective_user user = update.effective_user
u = db.get_or_create_user(user.id, user.username, user.first_name) u = db.get_or_create_user(user.id, user.username, user.first_name)
ref = u.get("referral_code", "UNKNOWN") ref = u.get("referral_code", "UNKNOWN")
link = f"https://t.me/{BOT_USERNAME}?start=ref_{ref}" link = generate_referral_link(BOT_USERNAME, ref)
conn = db.get_db() conn = db.get_db()
count = conn.execute("SELECT COUNT(*) as c FROM users WHERE referred_by = ?", (ref,)).fetchone()["c"] try:
conn.close() stats = get_referral_stats(user.id, ref, conn)
milestones = {5: "🥉", 10: "🥈", 25: "🥇", 50: "💎", 100: "👑"} finally:
next_ms = next((k for k in sorted(milestones.keys()) if k > count), None) conn.close()
ms_text = (
f"\n🎯 Next milestone: {milestones[next_ms]} {next_ms} referrals"
if next_ms
else "\n👑 You've hit all milestones!"
)
text = ( text = (
f"🤝 <b>Refer & Earn</b>\n{sep()}\n\n" f"🤝 <b>Refer & Earn</b>\n{sep()}\n\n"
f"Invite friends and <b>both get 5 bonus scans!</b>\n\n" f"Invite friends and <b>both get 5 bonus scans!</b>\n\n"
f"🔗 <b>Your Link:</b>\n<code>{link}</code>\n\n" f"🔗 <b>Your Link:</b>\n<code>{link}</code>\n\n"
f"📊 <b>Your Stats:</b>\n" f"📊 <b>Your Stats:</b>\n"
f" Friends Referred: <b>{count}</b>\n" f" Friends Referred: <b>{stats['count']}</b>\n"
f" Bonus Earned: <b>{count * 5}</b> scans{ms_text}\n\n" f" Bonus Earned: <b>{stats['bonus_earned']}</b> scans{stats['next_milestone_text']}\n\n"
f"<b>How it works:</b>\n" f"<b>How it works:</b>\n"
f" 1. Share your referral link\n" f" 1. Share your referral link\n"
f" 2. Friend starts the bot via your link\n" f" 2. Friend starts the bot via your link\n"
@ -1865,7 +1850,7 @@ async def handle_callback(update: Update, ctx: ContextTypes.DEFAULT_TYPE):
await query.edit_message_text(text, parse_mode=ParseMode.HTML, reply_markup=back_kb()) await query.edit_message_text(text, parse_mode=ParseMode.HTML, reply_markup=back_kb())
elif data == "menu_refer": elif data == "menu_refer":
u = db.get_or_create_user(user.id) u = db.get_or_create_user(user.id)
link = f"https://t.me/{BOT_USERNAME}?start=ref_{u.get('referral_code', '')}" link = generate_referral_link(BOT_USERNAME, u.get("referral_code", ""))
await query.edit_message_text( await query.edit_message_text(
f"🤝 <b>Refer Friends</b>\n\nShare your link:\n<code>{link}</code>\n\nBoth get 5 bonus scans!", f"🤝 <b>Refer Friends</b>\n\nShare your link:\n<code>{link}</code>\n\nBoth get 5 bonus scans!",
parse_mode=ParseMode.HTML, parse_mode=ParseMode.HTML,

View file

@ -7,6 +7,8 @@ Tiers, channels, API endpoints, DEX ref links, and constants.
import os import os
from app.domains.referral.partners import DEX_REF_LINKS # noqa: F401
# ══════════════════════════════════════════════ # ══════════════════════════════════════════════
# BOT # BOT
# ══════════════════════════════════════════════ # ══════════════════════════════════════════════
@ -263,58 +265,7 @@ SCAN_PACKS = {
# DEX REFERRAL LINKS # DEX REFERRAL LINKS
# ══════════════════════════════════════════════ # ══════════════════════════════════════════════
# These generate revenue when users trade through our links. # These generate revenue when users trade through our links.
# Format: {platform: {url_template, chains, emoji, description}} # Canonical definitions live in app.domains.referral.partners.
DEX_REF_LINKS = {
"jupiter": {
"name": "Jupiter",
"emoji": "🪐",
"url": "https://jup.ag/swap/SOL-{token}?ref=rugmunch",
"chains": ["solana"],
"description": "Best Solana DEX aggregator",
},
"photon": {
"name": "Photon",
"emoji": "",
"url": "https://photon-sol.tinyastro.io/en/lp/{token}?handle=rugmunch",
"chains": ["solana", "ethereum", "base"],
"description": "Fast Solana trading terminal",
},
"bullx": {
"name": "BullX",
"emoji": "🐂",
"url": "https://neo.bullx.io/terminal?chain={chain}&address={token}&ref=rugmunch",
"chains": ["solana", "ethereum", "base", "bsc", "arbitrum"],
"description": "Multi-chain trading bot",
},
"gmgn": {
"name": "GMGN.ai",
"emoji": "📊",
"url": "https://gmgn.ai/sol/token/{token}?ref=rugmunch",
"chains": ["solana", "ethereum", "base"],
"description": "Smart money tracking + trading",
},
"birdeye": {
"name": "Birdeye",
"emoji": "🦅",
"url": "https://birdeye.so/token/{token}?ref=rugmunch",
"chains": ["solana", "ethereum", "base", "bsc", "arbitrum"],
"description": "Token analytics & charts",
},
"oneinch": {
"name": "1inch",
"emoji": "🦄",
"url": "https://app.1inch.io/#/{chain_id}/simple/swap/ETH/{token}?ref=rugmunch",
"chains": ["ethereum", "base", "arbitrum", "bsc", "polygon", "avalanche"],
"description": "Best EVM DEX aggregator",
},
"pancakeswap": {
"name": "PancakeSwap",
"emoji": "🥞",
"url": "https://pancakeswap.finance/swap?inputCurrency=BNB&outputCurrency={token}&ref=rugmunch",
"chains": ["bsc", "ethereum", "arbitrum", "base"],
"description": "BSC's #1 DEX",
},
}
# Chain ID mapping for 1inch # Chain ID mapping for 1inch
CHAIN_IDS = { CHAIN_IDS = {

View file

@ -1,298 +1,8 @@
"""Deprecated shim - re-exports app.domains.intelligence.intel_pipeline.
Migrate imports from `app.intel_pipeline` to `app.domains.intelligence.intel_pipeline`.
This shim will be removed in Phase 3 cleanup.
""" """
RMI Intelligence Pipeline - HF + Supabase + RAG from __future__ import annotations
================================================
Unified intelligence service: scam classification (HF models),
wallet labeling via RAG pattern matching, Supabase hybrid storage.
"""
import hashlib from app.domains.intelligence.intel_pipeline import * # noqa: F403
import logging
import os
from datetime import UTC, datetime
import httpx
from dotenv import load_dotenv
load_dotenv("/app/.env", override=True)
logger = logging.getLogger(__name__)
HF_TOKEN = os.getenv("HF_TOKEN", "")
HF_API = "https://api-inference.huggingface.co/models"
def _get_url():
return os.getenv("SUPABASE_URL", "")
def _get_key():
return os.getenv("SUPABASE_SERVICE_KEY", "")
def _get_headers():
key = _get_key()
return {
"apikey": key,
"Authorization": f"Bearer {key}",
"Content-Type": "application/json",
}
# ── HF Models (Paywalled - using local fallback) ──────
# HF Inference API now requires PRO subscription ($9/mo).
# Using local pattern matching + RAG memory instead.
# Enable HF by setting HUGGINGFACE_TOKEN to a valid PRO key.
SCAM_LABELS = ["scam", "rugpull", "honeypot", "legitimate", "phishing", "ponzi"]
SCAM_KEYWORDS = {
"scam": ["scam", "fraud", "stole", "stolen", "exit scam", "fake"],
"rugpull": ["rug", "rugpull", "pulled liquidity", "drained", "removed liquidity", "lp removed"],
"honeypot": [
"honeypot",
"cannot sell",
"can't sell",
"unable to sell",
"transfer disabled",
"sell tax 100",
],
"phishing": [
"phishing",
"airdrop scam",
"claim reward",
"verify wallet",
"seed phrase",
"private key",
],
"ponzi": [
"ponzi",
"mlm",
"multi level",
"referral rewards",
"guaranteed returns",
"double your",
],
"insider": ["insider", "team wallet", "dev wallet", "pre-sale", "unlocked tokens", "vesting"],
}
async def classify_scam_risk(text: str) -> dict:
"""Classify scam risk using local pattern matching (HF paywalled)."""
text_lower = text.lower()
scores = {}
for label, keywords in SCAM_KEYWORDS.items():
score = sum(1 for kw in keywords if kw in text_lower)
if score > 0:
scores[label] = min(score / len(keywords), 1.0)
try:
from app.rag_service import search_documents
rag_results = await search_documents("known_scams", text, limit=3)
for r in rag_results:
content = r.get("content", "").lower()
for label, keywords in SCAM_KEYWORDS.items():
if any(kw in content for kw in keywords):
scores[label] = scores.get(label, 0) + 0.1
except Exception:
pass
if not scores:
return {
"risk": "low",
"labels": {},
"confidence": 0,
"is_scam": False,
"risk_level": "low",
"model": "local_pattern_match",
}
top = max(scores, key=scores.get)
top_score = scores[top]
is_scam = top in ("scam", "rugpull", "honeypot", "phishing", "ponzi")
return {
"model": "local_pattern_match",
"labels": {k: round(v, 3) for k, v in sorted(scores.items(), key=lambda x: x[1], reverse=True)},
"top_label": top,
"confidence": round(top_score, 3),
"is_scam": is_scam,
"risk_level": "high" if (is_scam and top_score > 0.5) else "medium" if is_scam else "low",
}
async def generate_embedding(text: str) -> list[float] | None:
"""Generate embedding vector for RAG storage using HF free tier."""
if not HF_TOKEN:
return None
async with httpx.AsyncClient(timeout=60) as client:
r = await client.post(
f"{HF_API}/{EMBEDDING_MODEL}", # noqa: F821 -- pre-existing bug, see fix(f821) tracking issue
headers={"Authorization": f"Bearer {HF_TOKEN}"},
json={"inputs": text[:1024]},
)
if r.status_code == 503:
logger.warning("HF embedding cold start, model loading")
return None
if r.status_code == 200:
result = r.json()
# Handle different response formats
if isinstance(result, list) and len(result) > 0:
return result[0] if isinstance(result[0], list) else result
return result
logger.warning(f"HF embedding failed: {r.status_code}")
return None
# ── Wallet Labeling via Pattern Memory ──────────────────
WALLET_PATTERNS = {
"sybil_farmer": [
"funded from exchange within seconds of 100+ other wallets",
"identical funding amounts across multiple wallets",
"no organic activity, only test transactions",
"funded by known Sybil distributor",
],
"wash_trader": [
"circular transfers between related wallets",
"buys and sells same token within minutes",
"volume spikes without holder count changes",
"coordinated buy/sell patterns",
],
"sandwich_bot": [
"high frequency trading with frontrun pattern",
"buys before large buys, sells immediately after",
"MEV extraction patterns",
"flashbots bundle usage",
],
"liquidity_remover": [
"large LP removal shortly after token launch",
"multiple LP positions removed simultaneously",
"liquidity drained to fresh wallet",
"LP removal preceded by marketing push",
],
"honeypot_deployer": [
"deploys tokens that can't be sold",
"reuses contract code across multiple tokens",
"disables transfers after liquidity added",
"ownership not renounced, hidden mint functions",
],
"phishing_operator": [
"sends tokens to many addresses with scam links",
"impersonates legitimate token contracts",
"uses airdrop as phishing vector",
"connects to known phishing domains",
],
"mixer_user": [
"funds pass through Tornado Cash or similar",
"receives from mixer, sends to clean wallet",
"layered mixing through multiple hops",
"funds originate from high-risk sources",
],
"insider_trader": [
"buys tokens before public announcements",
"linked to team wallets or deployers",
"sells immediately after hype peak",
"coordinated timing with other insiders",
],
}
async def label_wallet(wallet_data: dict) -> dict:
"""Label a wallet based on behavioral patterns and RAG memory."""
labels = []
confidence_scores = {}
# Check behavioral patterns
behavior = wallet_data.get("behavior_summary", "")
wallet_data.get("transactions", [])
for label, patterns in WALLET_PATTERNS.items():
score = 0
for pattern in patterns:
if pattern.lower() in behavior.lower():
score += 1
if score > 0:
confidence = min(score / len(patterns), 1.0)
confidence_scores[label] = round(confidence, 2)
if confidence > 0.3:
labels.append({"label": label, "confidence": round(confidence, 2)})
# Query RAG for similar wallet patterns
try:
from app.rag_service import search_documents
rag_results = await search_documents(
"wallet_profiles", wallet_data.get("address", "") + " " + behavior, limit=5
)
if rag_results:
for r in rag_results:
content = r.get("content", "")
for label, patterns in WALLET_PATTERNS.items():
if any(p.lower() in content.lower() for p in patterns):
if label not in confidence_scores:
confidence_scores[label] = 0
confidence_scores[label] = min(confidence_scores[label] + 0.15, 1.0)
except Exception:
pass
labels = [
{"label": k, "confidence": v}
for k, v in sorted(confidence_scores.items(), key=lambda x: x[1], reverse=True)
if v > 0.2
]
return {
"wallet_address": wallet_data.get("address", "unknown"),
"labels": labels[:5],
"primary_label": labels[0]["label"] if labels else "unknown",
"risk_score": max([line["confidence"] for line in labels]) * 100 if labels else 0,
"analyzed_at": datetime.now(UTC).isoformat(),
}
# ── Supabase Hybrid Storage ────────────────────────────
async def sync_to_supabase(collection: str, document: dict) -> dict:
"""Sync RAG document to Supabase for persistent hybrid storage."""
if not _get_url() or not _get_key():
return {"status": "skipped", "reason": "No Supabase config"}
doc_id = hashlib.sha256(f"{collection}:{document.get('content', '')[:100]}".encode()).hexdigest()[:16]
payload = {
"document_id": doc_id,
"collection": collection,
"content": document.get("content", "")[:5000],
"metadata": document.get("metadata", {}),
"synced_at": datetime.now(UTC).isoformat(),
}
headers = _get_headers()
headers["Prefer"] = "resolution=merge-duplicates"
async with httpx.AsyncClient(timeout=15) as client:
r = await client.post(f"{_get_url()}/rest/v1/rag_documents", json=payload, headers=headers)
if r.status_code in (200, 201, 409):
return {"status": "synced", "doc_id": doc_id, "supabase_status": r.status_code}
return {"status": "failed", "error": r.text[:200]}
# ── Batch Processing ───────────────────────────────────
async def run_intelligence_cycle() -> dict:
"""Run a full intelligence cycle: classify, label, embed, sync."""
results = {
"cycle": datetime.now(UTC).isoformat(),
"scam_checks": 0,
"wallet_labels": 0,
"embeddings": 0,
"supabase_syncs": 0,
"errors": [],
}
return results

View file

@ -1,10 +1,36 @@
# MCP Server Modules """Deprecated shim - re-exports app.domains.mcp public API.
# ==================
# x402 gateways run on Cloudflare Workers (7 chains, 45 tools each)
# The port 8001 local server was shut down - CF Workers handle everything
# Backend is at /srv/rugmuncher-backend/backend/ (Docker container rmi_backend)
# Legacy reference only - do not import for production use Migrate imports from `app.mcp.*` to `app.domains.mcp.*`.
# from .x402_mcp_server import X402MCPServer, X402ToolManager This shim will be removed in Phase 3 cleanup.
"""
from __future__ import annotations
__all__ = [] from app.domains.mcp import (
MCP_PROTOCOL_VERSION,
MCP_SERVER_VERSION,
TOOL_CATALOG,
TOOL_CATEGORIES,
TOOL_DEPRECATED,
TOOL_SUCCESSORS,
TOOL_VERSIONS,
TOOLS,
X402ToolManager,
call_tool,
get_tool_by_name,
handle_mcp_call,
)
__all__ = [
"MCP_PROTOCOL_VERSION",
"MCP_SERVER_VERSION",
"TOOLS",
"TOOL_CATALOG",
"TOOL_CATEGORIES",
"TOOL_DEPRECATED",
"TOOL_SUCCESSORS",
"TOOL_VERSIONS",
"X402ToolManager",
"call_tool",
"get_tool_by_name",
"handle_mcp_call",
]

View file

@ -1,423 +1,8 @@
"""Deprecated shim - re-exports app.domains.intelligence.meme_intelligence.
Migrate imports from `app.meme_intelligence` to `app.domains.intelligence.meme_intelligence`.
This shim will be removed in Phase 3 cleanup.
""" """
Meme Intelligence Platform - Meme Coin Tracking, Smart Money in Memes, from __future__ import annotations
Big Wins/Losses, KOL Scorecards, Social Monitoring.
Integrations: from app.domains.intelligence.meme_intelligence import * # noqa: F403
- DexScreener: meme token launches, trending
- LunarCrush: social sentiment, social dominance
- X/Twitter: KOL posts, viral content
- Telegram: channel monitoring, group sentiment
- Arkham: whale tracking in memes
- Birdeye: Solana meme tokens
- Pump.fun: new meme launches
"""
import logging
import os
from dotenv import load_dotenv
load_dotenv("/app/.env", override=True)
from datetime import UTC, datetime, timedelta # noqa: E402
logger = logging.getLogger(__name__)
# ── Meme Intelligence Data Structures ─────────────────────────
MEME_CHAINS = ["solana", "ethereum", "base", "bsc", "arbitrum"]
MEME_CATEGORIES = {
"dog": ["dog", "doge", "shib", "akita", "kishu"],
"cat": ["cat", "pepe", "mog", "meow"],
"politi": ["trump", "biden", "maga", "politics"],
"celeb": ["celeb", "influencer", "famous"],
"ai": ["ai", "gpt", "neural", "chat"],
"gaming": ["game", "gaming", "nft", "metaverse"],
"other": [],
}
# KOL Database Schema
KOL_DATABASE = {
# Example structure - populate from research
"twitter_handles": [],
"telegram_channels": [],
"wallet_addresses": [],
"track_record": {}, # past calls, win rate
"follower_counts": {},
"engagement_rates": {},
}
# ── Meme Token Intelligence ────────────────────────────────────
async def get_meme_trending(limit: int = 50) -> list[dict]:
"""Get trending meme tokens across chains."""
from app.unified_provider import get_unified_provider
provider = get_unified_provider()
memes = []
for chain in MEME_CHAINS:
try:
# Get trending from DexScreener
trending = await provider.get_dexscreener_trending(chain)
for token in trending[:20]:
# Classify as meme based on name/symbol
category = classify_meme_category(
token.get("baseToken", {}).get("symbol", ""),
token.get("baseToken", {}).get("name", ""),
)
if category != "other":
memes.append(
{
"address": token.get("baseToken", {}).get("address"),
"symbol": token.get("baseToken", {}).get("symbol"),
"name": token.get("baseToken", {}).get("name"),
"chain": chain,
"category": category,
"price_usd": token.get("priceUsd"),
"volume_24h": token.get("volume", {}).get("h24"),
"price_change_24h": token.get("priceChange", {}).get("h24"),
"liquidity_usd": token.get("liquidity", {}).get("usd"),
"fdv": token.get("fdv"),
"pair_age_hours": token.get("pairCreatedAt"),
"is_meme": True,
}
)
except Exception as e:
logger.debug(f"Error getting meme trending for {chain}: {e}")
# Sort by volume
memes.sort(key=lambda x: x.get("volume_24h", 0), reverse=True)
return memes[:limit]
async def get_smart_money_in_memes(limit: int = 20) -> list[dict]:
"""Track known smart money wallets trading memes."""
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
# Query for smart money activities in meme tokens
result = (
supabase.table("smart_money_activities")
.select("""
*,
wallets (
wallet_address,
wallet_label,
wallet_category,
win_rate,
total_pnl_usd
)
""")
.eq("is_meme", True)
.order("amount_usd", desc=True)
.limit(limit)
.execute()
)
return result.data or []
async def get_meme_wins_losses(period: str = "24h") -> dict:
"""Get biggest wins and losses in meme tokens."""
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
# Calculate time range
if period == "24h":
time_range = datetime.now(UTC) - timedelta(hours=24)
elif period == "7d":
time_range = datetime.now(UTC) - timedelta(days=7)
elif period == "30d":
time_range = datetime.now(UTC) - timedelta(days=30)
else:
time_range = datetime.now(UTC) - timedelta(hours=24)
# Get biggest wins
wins = (
supabase.table("whale_movements")
.select("*")
.gte("collected_at", time_range.isoformat())
.eq("transaction_type", "sell")
.order("amount_usd", desc=True)
.limit(20)
.execute()
)
# Get biggest losses
losses = (
supabase.table("whale_movements")
.select("*")
.gte("collected_at", time_range.isoformat())
.eq("transaction_type", "buy")
.order("amount_usd", desc=True)
.limit(20)
.execute()
)
return {
"period": period,
"wins": wins.data or [],
"losses": losses.data or [],
}
def classify_meme_category(symbol: str, name: str) -> str:
"""Classify meme token into category."""
text = f"{symbol} {name}".lower()
for category, keywords in MEME_CATEGORIES.items():
if any(kw in text for kw in keywords):
return category
return "other"
# ── KOL Intelligence ──────────────────────────────────────────
async def get_kol_scorecard(kol_handle: str) -> dict | None:
"""Get KOL scorecard with track record."""
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
# Get KOL profile
result = supabase.table("kols").select("*").eq("twitter_handle", kol_handle).execute()
if not result.data:
return None
kol = result.data[0]
# Get their past calls
calls = (
supabase.table("kol_calls")
.select("*")
.eq("kol_id", kol["id"])
.order("called_at", desc=True)
.limit(50)
.execute()
)
# Calculate stats
total_calls = len(calls.data) if calls.data else 0
winning_calls = len([c for c in (calls.data or []) if c.get("pnl_pct", 0) > 0])
win_rate = (winning_calls / total_calls * 100) if total_calls > 0 else 0
avg_pnl = sum([c.get("pnl_pct", 0) for c in (calls.data or [])]) / total_calls if total_calls > 0 else 0
return {
"kol": kol,
"stats": {
"total_calls": total_calls,
"winning_calls": winning_calls,
"win_rate": round(win_rate, 2),
"average_pnl": round(avg_pnl, 2),
"follower_count": kol.get("follower_count"),
"engagement_rate": kol.get("engagement_rate"),
},
"recent_calls": calls.data[:10] if calls.data else [],
}
async def get_top_kols_by_category(category: str = "memes", limit: int = 20) -> list[dict]:
"""Get top KOLs by category with scorecards."""
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
result = (
supabase.table("kols")
.select("*")
.eq("primary_category", category)
.order("win_rate", desc=True)
.order("follower_count", desc=True)
.limit(limit)
.execute()
)
return result.data or []
# ── Social Monitoring ─────────────────────────────────────────
async def monitor_social_sentiment(token_address: str) -> dict:
"""Monitor social sentiment for a token."""
# LunarCrush integration
try:
from app.lunarcrush_connector import get_lunarcrush_connector
lc = get_lunarcrush_connector()
sentiment = await lc.get_sentiment(token_address)
return {
"token": token_address,
"social_volume": sentiment.get("social_volume"),
"social_dominance": sentiment.get("social_dominance"),
"sentiment_score": sentiment.get("sentiment_score"),
"mentions_24h": sentiment.get("mentions_24h"),
"mentions_change_24h": sentiment.get("mentions_change_24h"),
}
except Exception:
return {"error": "LunarCrush not available"}
async def get_viral_crypto_posts(hours: int = 24) -> list[dict]:
"""Get viral crypto posts from X/Twitter."""
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
time_range = datetime.now(UTC) - timedelta(hours=hours)
result = (
supabase.table("viral_posts")
.select("*")
.gte("posted_at", time_range.isoformat())
.order("engagement_score", desc=True)
.limit(50)
.execute()
)
return result.data or []
# ── Hack/Drain Alerts ────────────────────────────────────────
async def get_recent_hacks_drains(hours: int = 24) -> list[dict]:
"""Get recent hacks and drains from monitoring."""
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
time_range = datetime.now(UTC) - timedelta(hours=hours)
result = (
supabase.table("security_alerts")
.select("*")
.gte("detected_at", time_range.isoformat())
.in_("alert_type", ["hack", "drain", "exploit", "rugpull"])
.order("amount_usd", desc=True)
.limit(50)
.execute()
)
return result.data or []
async def format_hack_alert_for_social(hack_data: dict) -> dict:
"""Format hack alert for X/Telegram posting."""
return {
"x_post": f"""🚨 HACK ALERT 🚨
Protocol: {hack_data.get("protocol_name", "Unknown")}
Amount: ${hack_data.get("amount_usd", 0):,.0f}
Chain: {hack_data.get("chain", "Unknown")}
Type: {hack_data.get("attack_type", "Unknown")}
{hack_data.get("description", "")[:200]}
#CryptoSecurity #DeFi #HackAlert""",
"telegram_post": f"""🚨 *HACK ALERT* 🚨
*Protocol:* {hack_data.get("protocol_name", "Unknown")}
*Amount:* ${hack_data.get("amount_usd", 0):,.0f}
*Chain:* {hack_data.get("chain", "Unknown")}
*Type:* {hack_data.get("attack_type", "Unknown")}
{hack_data.get("description", "")[:500]}
Stay safe out there! 🔒""",
"severity": hack_data.get("severity", "medium"),
"amount_usd": hack_data.get("amount_usd", 0),
}
# ── Wallet Screenshot Generation ──────────────────────────────
async def generate_wallet_screenshot(wallet_address: str, pnl_data: dict) -> str:
"""Generate wallet PnL screenshot for sharing."""
# This would use a graphics API (Alibaba, etc.) to generate images
# For now, return placeholder
return {
"wallet": wallet_address,
"total_pnl": pnl_data.get("total_pnl_usd", 0),
"win_rate": pnl_data.get("win_rate", 0),
"top_wins": pnl_data.get("top_wins", []),
"top_losses": pnl_data.get("top_losses", []),
"image_url": f"/api/v1/images/wallet/{wallet_address}/pnl-summary",
"share_url": f"https://rugmunch.io/wallet/{wallet_address}",
}
# ── Content Generation ────────────────────────────────────────
async def generate_marketing_content(content_type: str, data: dict) -> dict:
"""Generate marketing content using AI."""
# This would call Alibaba's AI API for content generation
templates = {
"win_announcement": """
🎉 BIG WIN ALERT! 🎉
Wallet: {wallet_address[:8]}...{wallet_address[-6:]}
Token: {token_symbol}
Profit: ${pnl_usd:,.0f} ({pnl_pct:.1f}%)
This whale called it early and rode it all the way up! 🐋
Track smart money: https://rugmunch.io/wallet/{wallet_address}
#Crypto #MemeCoin #SmartMoney
""",
"loss_announcement": """
💀 LOSS PORN 💀
Wallet: {wallet_address[:8]}...{wallet_address[-6:]}
Token: {token_symbol}
Loss: ${pnl_usd:,.0f} ({pnl_pct:.1f}%)
Oof. Another reminder to take profits! 📉
Learn from their mistakes: https://rugmunch.io/wallet/{wallet_address}
#Crypto #Trading #LossPorn
""",
"kol_scorecard": """
📊 KOL SCORECARD: @{kol_handle}
Win Rate: {win_rate:.1f}%
Total Calls: {total_calls}
Avg PnL: {avg_pnl:.1f}%
Followers: {follower_count:,}
Track their calls: https://rugmunch.io/kol/{kol_handle}
#CryptoTwitter #KOL #Alpha
""",
}
template = templates.get(content_type, "")
# Format template with data
content = template.format(**data) if template else ""
return {
"content_type": content_type,
"x_post": content[:280],
"telegram_post": content,
"generated_at": datetime.now(UTC).isoformat(),
}

View file

@ -36,7 +36,7 @@ ROUTER_MODULES: Final[list[str]] = [
"app.api.v1.admin.alerts_webhook", # /api/v1/admin/alerts/webhook "app.api.v1.admin.alerts_webhook", # /api/v1/admin/alerts/webhook
"app.api.v1.admin.glitchtip_test", # /api/v1/_test/* (T07) "app.api.v1.admin.glitchtip_test", # /api/v1/_test/* (T07)
"app.api.v1.catalog", # /api/v1/catalog/* "app.api.v1.catalog", # /api/v1/catalog/*
"app.api.v1.mcp", # /mcp/* (JSON-RPC + plain JSON) "app.domains.mcp.router", # /mcp/* (JSON-RPC + plain JSON)
# Domain facades (per v4.0 T28-T34) # Domain facades (per v4.0 T28-T34)
"app.domains.news", # /api/v1/news/* "app.domains.news", # /api/v1/news/*
"app.domains.news.admin_router", # /api/v1/news/_admin/* "app.domains.news.admin_router", # /api/v1/news/_admin/*

View file

@ -1,438 +1,8 @@
"""Deprecated shim - re-exports app.domains.intelligence.n8n_intelligence_workflows.
Migrate imports from `app.n8n_intelligence_workflows` to `app.domains.intelligence.n8n_intelligence_workflows`.
This shim will be removed in Phase 3 cleanup.
""" """
n8n Workflow Automation - Market Intelligence & Premium Data Pulls. from __future__ import annotations
Scheduled workflows for efficient data collection from multiple sources.
Runs every 30-60 minutes based on scan volume and data freshness needs.
Integrations: from app.domains.intelligence.n8n_intelligence_workflows import * # noqa: F403
- CoinGecko: trending, global metrics, top gainers/losers
- DexScreener: new pairs, trending tokens, volume spikes
- Dune Analytics: custom queries for whale tracking, scam patterns
- Helius: token mints, large transfers, new token deployments
- Moralis: EVM whale movements, new contract deployments
- Arkham: entity labeling, exchange flows
- Nansen: smart money tracking (if available)
- Forta: real-time threat detection
"""
import logging
from datetime import UTC, datetime
logger = logging.getLogger(__name__)
# ── n8n Workflow Definitions ─────────────────────────────────
N8N_BASE_URL = "https://n8n.rugmunch.io"
N8N_WEBHOOK_URL = f"{N8N_BASE_URL}/webhook"
# Market Intelligence Workflows
MARKET_INTEL_WORKFLOWS = {
"trending_tokens": {
"name": "Trending Tokens Collector",
"schedule": "*/30 * * * *", # Every 30 minutes
"sources": ["coingecko", "dexscreener", "geckoterminal"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/trending",
"description": "Collect trending tokens from multiple DEXs",
"output_table": "market_trending_tokens",
},
"whale_movements": {
"name": "Whale Movement Tracker",
"schedule": "*/15 * * * *", # Every 15 minutes (high priority)
"sources": ["helius", "moralis", "arkham"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/whales",
"description": "Track large transfers across chains",
"output_table": "whale_movements",
},
"new_token_deployments": {
"name": "New Token Deployments",
"schedule": "*/10 * * * *", # Every 10 minutes (fast detection)
"sources": ["helius", "moralis", "dexscreener"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/new-tokens",
"description": "Detect new token deployments in real-time",
"output_table": "new_token_deployments",
},
"volume_spikes": {
"name": "Volume Spike Detector",
"schedule": "*/5 * * * *", # Every 5 minutes (critical)
"sources": ["dexscreener", "geckoterminal", "birdeye"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/volume-spikes",
"description": "Detect unusual volume increases",
"output_table": "volume_spikes",
},
"global_metrics": {
"name": "Market Global Metrics",
"schedule": "0 * * * *", # Every hour
"sources": ["coingecko"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/global",
"description": "Global crypto market metrics",
"output_table": "market_global_metrics",
},
"defi_protocols": {
"name": "DeFi Protocol Analytics",
"schedule": "0 */2 * * *", # Every 2 hours
"sources": ["defillama", "dune"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/defi",
"description": "DeFi TVL, volume, user metrics",
"output_table": "defi_protocol_metrics",
},
"nft_market": {
"name": "NFT Market Intelligence",
"schedule": "0 */4 * * *", # Every 4 hours
"sources": ["alchemy", "opensea_api"],
"endpoint": f"{N8N_WEBHOOK_URL}/market/nft",
"description": "NFT floor prices, volume, trends",
"output_table": "nft_market_metrics",
},
}
# Premium Intelligence Workflows
PREMIUM_INTEL_WORKFLOWS = {
"smart_money_tracking": {
"name": "Smart Money Tracker",
"schedule": "*/30 * * * *", # Every 30 minutes
"sources": ["nansen", "arkham", "dune"],
"endpoint": f"{N8N_WEBHOOK_URL}/premium/smart-money",
"description": "Track known smart money wallets",
"output_table": "smart_money_activities",
"tier": "premium",
},
"exchange_flows": {
"name": "Exchange Flow Analysis",
"schedule": "*/15 * * * *", # Every 15 minutes
"sources": ["arkham", "dune", "glassnode"],
"endpoint": f"{N8N_WEBHOOK_URL}/premium/exchange-flows",
"description": "Track exchange inflows/outflows",
"output_table": "exchange_flows",
"tier": "premium",
},
"insider_trading": {
"name": "Insider Trading Detection",
"schedule": "*/20 * * * *", # Every 20 minutes
"sources": ["dune", "arkham", "helius"],
"endpoint": f"{N8N_WEBHOOK_URL}/premium/insider",
"description": "Detect potential insider trading patterns",
"output_table": "insider_trading_alerts",
"tier": "premium_plus",
},
"launchpad_monitor": {
"name": "Launchpad Monitor",
"schedule": "*/10 * * * *", # Every 10 minutes
"sources": ["dexscreener", "pumpfun_api", "geckoterminal"],
"endpoint": f"{N8N_WEBHOOK_URL}/premium/launchpad",
"description": "Monitor new launches across platforms",
"output_table": "launchpad_monitoring",
"tier": "premium",
},
"cluster_analysis": {
"name": "Cluster Pattern Analysis",
"schedule": "0 */2 * * *", # Every 2 hours
"sources": ["internal_clustering", "dune"],
"endpoint": f"{N8N_WEBHOOK_URL}/premium/clusters",
"description": "Deep cluster pattern analysis",
"output_table": "cluster_patterns",
"tier": "premium_plus",
},
}
# Security Intelligence Workflows
SECURITY_INTEL_WORKFLOWS = {
"scam_detection": {
"name": "Real-time Scam Detection",
"schedule": "*/5 * * * *", # Every 5 minutes (critical)
"sources": ["forta", "internal_ml", "community_reports"],
"endpoint": f"{N8N_WEBHOOK_URL}/security/scams",
"description": "Detect new scam patterns",
"output_table": "scam_alerts",
"priority": "critical",
},
"rugpull_detection": {
"name": "Rugpull Detection",
"schedule": "*/2 * * * *", # Every 2 minutes (ultra-critical)
"sources": ["internal_ml", "liquidity_monitor"],
"endpoint": f"{N8N_WEBHOOK_URL}/security/rugpulls",
"description": "Detect rugpull patterns in real-time",
"output_table": "rugpull_alerts",
"priority": "critical",
},
"contract_vulnerabilities": {
"name": "Contract Vulnerability Scanner",
"schedule": "0 * * * *", # Every hour
"sources": ["slither", "mythril", "internal_scanner"],
"endpoint": f"{N8N_WEBHOOK_URL}/security/vulnerabilities",
"description": "Scan new contracts for vulnerabilities",
"output_table": "contract_vulnerabilities",
"priority": "high",
},
"phishing_detection": {
"name": "Phishing Domain Detection",
"schedule": "0 */6 * * *", # Every 6 hours
"sources": ["guardian", "cryptoscamdb", "community"],
"endpoint": f"{N8N_WEBHOOK_URL}/security/phishing",
"description": "Detect new phishing domains",
"output_table": "phishing_domains",
"priority": "high",
},
}
# ── n8n Workflow Execution ────────────────────────────────────
async def trigger_n8n_workflow(workflow_name: str, data: dict | None = None) -> bool:
"""Trigger an n8n workflow via webhook."""
import httpx
# Find workflow config
all_workflows = {
**MARKET_INTEL_WORKFLOWS,
**PREMIUM_INTEL_WORKFLOWS,
**SECURITY_INTEL_WORKFLOWS,
}
workflow = all_workflows.get(workflow_name)
if not workflow:
logger.error(f"Workflow not found: {workflow_name}")
return False
webhook_url = workflow["endpoint"]
try:
async with httpx.AsyncClient(timeout=30.0) as client:
response = await client.post(
webhook_url,
json={
"workflow": workflow_name,
"triggered_at": datetime.now(UTC).isoformat(),
"data": data or {},
},
)
if response.status_code in (200, 201, 202):
logger.info(f"Triggered workflow: {workflow_name}")
return True
else:
logger.error(f"Workflow trigger failed: {workflow_name} - {response.status_code}")
return False
except Exception as e:
logger.error(f"Workflow trigger error: {workflow_name} - {e}")
return False
async def execute_market_intelligence_pull(workflow_name: str):
"""Execute a market intelligence data pull."""
workflow = MARKET_INTEL_WORKFLOWS.get(workflow_name)
if not workflow:
return
logger.info(f"Executing market intel pull: {workflow['name']}")
# Collect data from sources
collected_data = {
"workflow": workflow_name,
"sources": workflow["sources"],
"collected_at": datetime.now(UTC).isoformat(),
"data": {},
}
# Source-specific collection logic
for source in workflow["sources"]:
try:
if source == "coingecko":
from app.coingecko_connector import get_coingecko_connector
connector = get_coingecko_connector()
if "trending" in workflow_name.lower():
trending = await connector.get_trending()
collected_data["data"]["coingecko_trending"] = trending
elif "global" in workflow_name.lower():
global_data = await connector.get_global_metrics()
collected_data["data"]["coingecko_global"] = global_data
elif source == "dexscreener":
from app.unified_provider import get_unified_provider
provider = get_unified_provider()
if "trending" in workflow_name.lower():
trending = await provider.get_dexscreener_trending()
collected_data["data"]["dexscreener_trending"] = trending
elif "volume" in workflow_name.lower():
spikes = await provider.get_volume_spikes()
collected_data["data"]["dexscreener_spikes"] = spikes
elif source == "helius":
from app.chain_client import get_chain_client
client = get_chain_client()
if "new" in workflow_name.lower():
new_tokens = await client.get_new_token_mints(limit=50)
collected_data["data"]["helius_new_tokens"] = new_tokens
elif "whale" in workflow_name.lower():
whales = await client.get_large_transfers(limit=20)
collected_data["data"]["helius_whales"] = whales
except Exception as e:
logger.error(f"Error collecting from {source}: {e}")
collected_data["data"][source] = {"error": str(e)}
# Store in Supabase
await _store_intelligence_data(workflow["output_table"], collected_data)
# Trigger alerts if needed
await _process_intelligence_alerts(workflow_name, collected_data)
async def _store_intelligence_data(table_name: str, data: dict):
"""Store intelligence data in Supabase."""
try:
import os
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
# Insert data
supabase.table(table_name).insert(
{
"data": data,
"collected_at": data.get("collected_at"),
"workflow": data.get("workflow"),
}
).execute()
logger.info(f"Stored intelligence data in {table_name}")
except Exception as e:
logger.error(f"Failed to store intelligence data: {e}")
async def _process_intelligence_alerts(workflow_name: str, data: dict):
"""Process intelligence data and trigger alerts."""
# Check for significant findings
if "whale" in workflow_name.lower():
# Check for unusually large transfers
whales = data.get("data", {}).get("helius_whales", [])
for whale in whales:
amount = whale.get("amount", 0)
if amount > 1000: # >1000 SOL
await _create_alert("whale_movement", whale)
elif "scam" in workflow_name.lower() or "rugpull" in workflow_name.lower():
# Immediate alert for security issues
await _create_alert("security_critical", data)
elif "volume" in workflow_name.lower():
# Check for unusual volume spikes
spikes = data.get("data", {}).get("dexscreener_spikes", [])
for spike in spikes:
if spike.get("volume_change_pct", 0) > 500: # >500% increase
await _create_alert("volume_spike", spike)
async def _create_alert(alert_type: str, data: dict):
"""Create an intelligence alert."""
try:
import os
from supabase import create_client
supabase = create_client(os.getenv("SUPABASE_URL"), os.getenv("SUPABASE_KEY"))
alert_data = {
"alert_type": alert_type,
"severity": "critical" if "security" in alert_type else "high",
"data": data,
"created_at": datetime.now(UTC).isoformat(),
"is_read": False,
}
supabase.table("intelligence_alerts").insert(alert_data).execute()
logger.info(f"Created intelligence alert: {alert_type}")
except Exception as e:
logger.error(f"Failed to create alert: {e}")
# ── Dune Analytics Integration ────────────────────────────────
async def execute_dune_query(query_id: str, params: dict | None = None) -> dict | None:
"""Execute a Dune Analytics query."""
import os
import httpx
dune_api_key = os.getenv("DUNE_API_KEY", "")
if not dune_api_key:
logger.warning("DUNE_API_KEY not configured")
return None
try:
async with httpx.AsyncClient(timeout=60.0) as client:
# Execute query
response = await client.post(
f"https://api.dune.com/api/v1/query/{query_id}/execute",
headers={"X-Dune-API-Key": dune_api_key},
json=params or {},
)
if response.status_code != 200:
logger.error(f"Dune query failed: {response.status_code}")
return None
execution_id = response.json().get("execution_id")
# Wait for results
import asyncio
for _ in range(10): # Max 10 attempts
await asyncio.sleep(2)
result_response = await client.get(
f"https://api.dune.com/api/v1/execution/{execution_id}/results",
headers={"X-Dune-API-Key": dune_api_key},
)
if result_response.status_code == 200:
result = result_response.json()
if result.get("state") == "QUERY_STATE_COMPLETED":
return result.get("result", {}).get("rows", [])
return None
except Exception as e:
logger.error(f"Dune query error: {e}")
return None
# Pre-configured Dune queries for RMI
DUNE_QUERIES = {
"ethereum_whale_transfers": {
"query_id": "1234567", # Replace with actual query ID
"description": "Track large ETH transfers from known whale wallets",
"schedule": "*/15 * * * *",
},
"defi_protocol_volumes": {
"query_id": "2345678",
"description": "Daily DEX volumes across major protocols",
"schedule": "0 * * * *",
},
"nft_wash_trading": {
"query_id": "3456789",
"description": "Detect potential NFT wash trading patterns",
"schedule": "0 */6 * * *",
},
"stablecoin_flows": {
"query_id": "4567890",
"description": "Track USDC/USDT flows to/from exchanges",
"schedule": "*/30 * * * *",
},
"new_contract_deployments": {
"query_id": "5678901",
"description": "New contract deployments with large funding",
"schedule": "*/10 * * * *",
},
}

View file

@ -1,165 +1,8 @@
#!/usr/bin/env python3 """Deprecated shim - re-exports app.domains.intelligence.news_intelligence.
"""
RMI News Intelligence v3 - Industry Best Migrate imports from `app.news_intelligence` to `app.domains.intelligence.news_intelligence`.
========================================= This shim will be removed in Phase 3 cleanup.
AI-powered news pipeline: categorization, sentiment, trending, briefing.
Uses MiniMax ($20/mo flat) + Ollama Cloud.
""" """
from __future__ import annotations
import json from app.domains.intelligence.news_intelligence import * # noqa: F403
import logging
import os
import urllib.request
from collections import Counter
from datetime import UTC, datetime
logger = logging.getLogger("rmi.news_v3")
OLLAMA_KEY = os.getenv("OLLAMA_API_KEY", os.getenv("DEEPSEEK_API_KEY", ""))
OLLAMA_URL = "https://ollama.com/v1/chat/completions"
# Simple in-memory trending tracker
_trending_topics = Counter()
_breaking_alerts = []
def analyze_article(title: str, content: str = "") -> dict:
"""Full AI analysis of a news article."""
text = f"{title} {content[:300]}"
# Category (fast, cached)
from app.ai_pipeline_v3 import classify_news
category = classify_news(title, content)
# Sentiment via MiniMax (batched - 1 call per article is fine at flat rate)
sentiment = "neutral"
try:
k = os.getenv("OLLAMA_API_KEY", "")
if not k:
with open("/app/.env") as f:
for line in f:
if line.startswith("OLLAMA_API_KEY"):
k = line.strip().split("=", 1)[1]
break
if not k:
return {"category": category, "sentiment": "neutral", "is_breaking": False}
body = json.dumps(
{
"model": "deepseek-v4-flash",
"messages": [
{
"role": "system",
"content": "Classify sentiment: BULLISH BEARISH NEUTRAL. Reply one word only.",
},
{"role": "user", "content": text[:400]},
],
"max_tokens": 10,
"temperature": 0.1,
}
).encode()
req = urllib.request.Request(
OLLAMA_URL,
data=body,
headers={"Authorization": f"Bearer {k}", "Content-Type": "application/json"},
)
resp = urllib.request.urlopen(req, timeout=8)
sentiment = json.loads(resp.read())["choices"][0]["message"]["content"].strip().upper()
if "BULL" in sentiment:
sentiment = "bullish"
elif "BEAR" in sentiment:
sentiment = "bearish"
else:
sentiment = "neutral"
except Exception as e:
logger.warning(f"Sentiment failed: {e}")
# Track trending topics
for word in title.lower().split():
if len(word) > 4 and word not in (
"after",
"before",
"while",
"could",
"would",
"should",
"their",
"there",
"these",
"those",
"about",
"which",
):
_trending_topics[word] += 1
# Detect breaking news
is_breaking = category == "SCAM" or any(
w in text.lower() for w in ["hacked", "exploited", "drained", "rug pulled", "emergency"]
)
return {
"category": category,
"sentiment": sentiment,
"is_breaking": is_breaking,
"analyzed_at": datetime.now(UTC).isoformat(),
}
def get_trending(limit: int = 10) -> list:
"""Get trending topics from recent article analysis."""
return [{"topic": word, "count": count} for word, count in _trending_topics.most_common(limit)]
def get_breaking() -> list:
"""Get breaking news alerts."""
return _breaking_alerts[-10:]
def daily_briefing() -> str:
"""Generate an AI-powered daily news briefing using Ollama Cloud."""
trending = get_trending(5)
topics = ", ".join(f"{t['topic']}({t['count']})" for t in trending)
k = OLLAMA_KEY
body = json.dumps(
{
"model": "deepseek-v4-flash",
"messages": [
{
"role": "system",
"content": "Write a 3-sentence daily crypto news briefing. Mention trending topics. Professional tone. Under 100 words.",
},
{"role": "user", "content": f"Trending topics: {topics}"},
],
"max_tokens": 150,
"temperature": 0.5,
}
).encode()
try:
req = urllib.request.Request(
OLLAMA_URL,
data=body,
headers={"Authorization": f"Bearer {k}", "Content-Type": "application/json"},
)
resp = urllib.request.urlopen(req, timeout=15)
return json.loads(resp.read())["choices"][0]["message"]["content"].strip()
except Exception:
return f"Daily briefing: {topics} are trending in crypto news today."
def news_search(query: str, articles: list, limit: int = 10) -> list:
"""Smart search across articles with relevance ranking."""
results = []
q_lower = query.lower()
for a in articles:
score = 0
if q_lower in a.get("title", "").lower():
score += 10
if q_lower in a.get("content", "").lower():
score += 5
if q_lower in a.get("category", "").lower():
score += 3
if score > 0:
a["relevance"] = score
results.append(a)
return sorted(results, key=lambda x: x.get("relevance", 0), reverse=True)[:limit]

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View file

@ -28,7 +28,7 @@ from datetime import datetime, timedelta
from fastapi import APIRouter, Body, HTTPException, Request from fastapi import APIRouter, Body, HTTPException, Request
from pydantic import BaseModel, Field from pydantic import BaseModel, Field
from app.admin_backend import ( from app.domains.admin import (
PERMISSIONS, PERMISSIONS,
AdminRole, AdminRole,
AdminUserStore, AdminUserStore,

View file

@ -25,8 +25,8 @@ from typing import Any
from fastapi import APIRouter, HTTPException, Query, Request from fastapi import APIRouter, HTTPException, Query, Request
from pydantic import BaseModel, Field from pydantic import BaseModel, Field
from app.admin_backend import AuditLogger, require_admin
from app.analytics_engine import AnalyticsEngine, DashboardWidget, get_analytics_engine from app.analytics_engine import AnalyticsEngine, DashboardWidget, get_analytics_engine
from app.domains.admin import AuditLogger, require_admin
logger = logging.getLogger("analytics_api") logger = logging.getLogger("analytics_api")

View file

@ -25,8 +25,8 @@ Admin endpoints (require admin session):
from fastapi import APIRouter, Body, HTTPException, Request from fastapi import APIRouter, Body, HTTPException, Request
from pydantic import BaseModel, Field from pydantic import BaseModel, Field
from app.admin_backend import AuditLogger, require_admin from app.domains.admin import AuditLogger, require_admin
from app.bulletin_board import ( from app.domains.bulletin import (
BulletinBoardManager, BulletinBoardManager,
PostCategory, PostCategory,
PostStatus, PostStatus,
@ -576,7 +576,7 @@ async def admin_moderate_comment(
@router.get("/badges/{user_id}") @router.get("/badges/{user_id}")
async def get_badges(user_id: str): async def get_badges(user_id: str):
"""Get user badges.""" """Get user badges."""
from app.bulletin_board import get_user_badges, get_user_reputation from app.domains.bulletin import get_user_badges, get_user_reputation
badges = await get_user_badges(user_id) badges = await get_user_badges(user_id)
rep = await get_user_reputation(user_id) rep = await get_user_reputation(user_id)
@ -613,7 +613,7 @@ async def x402_bot_post(request: Request, data: dict):
Bot posting via x402 - $1 TO JOIN (one-time, 30-day membership). Bot posting via x402 - $1 TO JOIN (one-time, 30-day membership).
Pay $1 once, post unlimited for 30 days. Includes badges. Pay $1 once, post unlimited for 30 days. Includes badges.
""" """
from app.bulletin_board import verify_x402_bot from app.domains.bulletin import verify_x402_bot
bot_addr = data.get("bot_address", "") bot_addr = data.get("bot_address", "")
tx_hash = data.get("tx_hash", "") tx_hash = data.get("tx_hash", "")

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@ -23,7 +23,7 @@ import logging
from fastapi import APIRouter, HTTPException, Query from fastapi import APIRouter, HTTPException, Query
from app.prediction_market_service import ( from app.domains.markets import (
PredictionDigest, PredictionDigest,
PredictionMarket, PredictionMarket,
get_prediction_market_service, get_prediction_market_service,

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@ -33,7 +33,7 @@ from typing import Any
from fastapi import APIRouter, Body, HTTPException, Request from fastapi import APIRouter, Body, HTTPException, Request
from pydantic import BaseModel, Field from pydantic import BaseModel, Field
from app.admin_backend import AuditLogger, require_admin from app.domains.admin import AuditLogger, require_admin
from app.wallet_manager_v2 import ( from app.wallet_manager_v2 import (
CHAIN_REGISTRY, CHAIN_REGISTRY,
PaymentRecord, PaymentRecord,

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@ -10,7 +10,7 @@ import os
from fastapi import APIRouter, HTTPException, Request from fastapi import APIRouter, HTTPException, Request
from app.mcp.x402_mcp_server import TOOLS, handle_mcp_call from app.domains.mcp.x402_mcp_server import TOOLS, handle_mcp_call
router = APIRouter(tags=["x402-MCP"]) router = APIRouter(tags=["x402-MCP"])

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@ -526,7 +526,7 @@ class HoneypotSystem:
await BotDetectionEngine._log_security_event(event) await BotDetectionEngine._log_security_event(event)
# Auto-ban the IP # Auto-ban the IP
from app.admin_backend import SecurityManager from app.domains.admin import SecurityManager
await SecurityManager.block_ip(ip, f"Honeypot triggered: {path}", 168) # 7 days await SecurityManager.block_ip(ip, f"Honeypot triggered: {path}", 168) # 7 days

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@ -27,7 +27,7 @@ import logging
from dataclasses import dataclass, field from dataclasses import dataclass, field
from datetime import UTC, datetime from datetime import UTC, datetime
from app.prediction_market_service import ( from app.domains.markets import (
PredictionMarket, PredictionMarket,
get_prediction_market_service, get_prediction_market_service,
) )

14
mypy-gate.ini Normal file
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@ -0,0 +1,14 @@
[mypy]
strict = true
ignore_missing_imports = true
explicit_package_bases = true
exclude = (\.venv/|tests/|__pycache__/)
[mypy-app.core.redis]
ignore_errors = false
[mypy-app.domains.auth.*]
ignore_errors = false
[mypy-*]
ignore_errors = true

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@ -1,4 +1,5 @@
[mypy] [mypy]
strict = true strict = true
ignore_missing_imports = true ignore_missing_imports = true
explicit_package_bases = true
exclude = (\.venv/|tests/|__pycache__/) exclude = (\.venv/|tests/|__pycache__/)

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@ -5,7 +5,7 @@ needing a live database or external service. They test the contract.
""" """
from __future__ import annotations from __future__ import annotations
from app.mcp.server import ( from app.domains.mcp.server import (
MCP_PROTOCOL_VERSION, MCP_PROTOCOL_VERSION,
MCP_SERVER_VERSION, MCP_SERVER_VERSION,
TOOL_CATALOG, TOOL_CATALOG,

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@ -9,15 +9,15 @@ from unittest.mock import patch
import pytest import pytest
from app.mcp.server import call_tool from app.domains.mcp.server import call_tool
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_eth_labels_query_tool_exists(): async def test_eth_labels_query_tool_exists():
"""Test that eth_labels_query tool is registered in the server.""" """Test that eth_labels_query tool is registered in the server."""
import app.mcp.server import app.domains.mcp.server
# Check if it's in the catalog # Check if it's in the catalog
tool_names = [tool["name"] for tool in app.mcp.server.TOOL_CATALOG] tool_names = [tool["name"] for tool in app.domains.mcp.server.TOOL_CATALOG]
assert "eth_labels_query" in tool_names assert "eth_labels_query" in tool_names
print("✓ eth_labels_query found in tool catalog") print("✓ eth_labels_query found in tool catalog")
@ -25,8 +25,8 @@ async def test_eth_labels_query_tool_exists():
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_eth_labels_stats_tool_exists(): async def test_eth_labels_stats_tool_exists():
"""Test that eth_labels_stats tool is registered in the server.""" """Test that eth_labels_stats tool is registered in the server."""
import app.mcp.server import app.domains.mcp.server
tool_names = [tool["name"] for tool in app.mcp.server.TOOL_CATALOG] tool_names = [tool["name"] for tool in app.domains.mcp.server.TOOL_CATALOG]
assert "eth_labels_stats" in tool_names assert "eth_labels_stats" in tool_names
print("✓ eth_labels_stats found in tool catalog") print("✓ eth_labels_stats found in tool catalog")
@ -34,7 +34,7 @@ async def test_eth_labels_stats_tool_exists():
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_eth_labels_query_version_tracked(): async def test_eth_labels_query_version_tracked():
"""Test that eth_labels_query tool has version tracking.""" """Test that eth_labels_query tool has version tracking."""
from app.mcp.server import TOOL_VERSIONS from app.domains.mcp.server import TOOL_VERSIONS
assert "eth_labels_query" in TOOL_VERSIONS assert "eth_labels_query" in TOOL_VERSIONS
version = TOOL_VERSIONS["eth_labels_query"] version = TOOL_VERSIONS["eth_labels_query"]
assert version == "1.0.0" # Version from Tier 2 assert version == "1.0.0" # Version from Tier 2
@ -44,7 +44,7 @@ async def test_eth_labels_query_version_tracked():
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_eth_labels_stats_version_tracked(): async def test_eth_labels_stats_version_tracked():
"""Test that eth_labels_stats tool has version tracking.""" """Test that eth_labels_stats tool has version tracking."""
from app.mcp.server import TOOL_VERSIONS from app.domains.mcp.server import TOOL_VERSIONS
assert "eth_labels_stats" in TOOL_VERSIONS assert "eth_labels_stats" in TOOL_VERSIONS
version = TOOL_VERSIONS["eth_labels_stats"] version = TOOL_VERSIONS["eth_labels_stats"]
assert version == "1.0.0" # Version from Tier 2 assert version == "1.0.0" # Version from Tier 2
@ -52,7 +52,7 @@ async def test_eth_labels_stats_version_tracked():
@pytest.mark.asyncio @pytest.mark.asyncio
@patch('app.mcp.tools.eth_labels_tool.query_eth_labels_db_mcp') @patch('app.domains.mcp.tools.eth_labels_tool.query_eth_labels_db_mcp')
async def test_eth_labels_query_calls_underlying_function(mock_query): async def test_eth_labels_query_calls_underlying_function(mock_query):
"""Test that eth_labels_query tool calls our implementation.""" """Test that eth_labels_query tool calls our implementation."""
# Mock the response # Mock the response
@ -71,7 +71,7 @@ async def test_eth_labels_query_calls_underlying_function(mock_query):
@pytest.mark.asyncio @pytest.mark.asyncio
@patch('app.mcp.tools.eth_labels_tool.get_eth_labels_stats_mcp') @patch('app.domains.mcp.tools.eth_labels_tool.get_eth_labels_stats_mcp')
async def test_eth_labels_stats_calls_underlying_function(mock_stats): async def test_eth_labels_stats_calls_underlying_function(mock_stats):
"""Test that eth_labels_stats calls our implementation.""" """Test that eth_labels_stats calls our implementation."""
mock_response = {"total_accounts": 106000, "tables": ["accounts"]} mock_response = {"total_accounts": 106000, "tables": ["accounts"]}