Files
trumpsignal-backend/app/api/trades.py
T
k 5fb1d52026 Pre-launch hardening: KOL module, Telegram, scanners, WS resilience
Big-picture changes since b941223:

KOL pipeline (new) — Substack/podcast/blog RSS → AI ticker extraction →
on-chain wallet diff → talks-vs-trades divergence detection. Daily polls,
19 feeds, divergence emits Post + Telegram fan-out.

Telegram push (new) — walletless free tier + wallet-linked Pro upgrade,
in-bot preference commands (/trump /btc /funding /kol /conf /quiet),
signed-envelope API for dashboard. Disconnect-wallet keeps free
subscription.

BTC funding-rate reversal scanner (new) — hourly cron, 30d cumulative
funding threshold + mean-revert + 7d price confirm, emits via
/api/signals/ingest. BTC bottom-reversal scanner promoted to System 2.

WS broadcast rewrite — per-client send timeout + parallel fan-out
(asyncio.gather). Fixes "Binance WS no close frame" reconnect storms +
APScheduler 11-min job misses, both caused by one slow client stalling
the kline loop.

Error visibility — three silent-error sites (trumpstruth/truth_social
fetchers, funding_reversal scanner) now include exception type name so
httpx ConnectError-style empty-message errors stop logging blank lines.
Telegram bot loop now classifies ReadTimeout vs network vs unknown +
logger.exception for the unknown bucket.

Security hygiene — trumpsignal.db untracked from git (held subscriber
wallets + encrypted HL keys + 22 bot trades); .gitignore now blocks
*.db/.next/backups. CORS only allows FRONTEND_URL in production.

New ops scripts —
  - scripts/preflight.py: env/DB/Telegram/AI auth verification gate
  - scripts/backup_db.sh: cron-friendly daily DB backup (SQLite + Postgres)
  - scripts/seed_kol_wallets.py: idempotent KOL on-chain wallet seeder

15 new Alembic migrations (007-021) covering convex strategy fields,
phase-1 safety, two-system frozen exits, invalidation prices, dynamic
SYS2 leverage, staged de-risk + pyramiding, peak gain tracking, risk
mode, auto-trade + grow flags, KOL module, KOL on-chain, KOL divergence,
Telegram bindings + walletless.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-25 00:52:56 +08:00

79 lines
2.7 KiB
Python

import logging
from typing import List
from fastapi import APIRouter, Depends, Query
from sqlalchemy import select
from sqlalchemy.orm import joinedload
from sqlalchemy.ext.asyncio import AsyncSession
from app.database import get_db
from app.models import BotTrade, iso_utc
from app.schemas import BotTrade as BotTradeSchema
from app.services.signed_request import verify_signed_request
router = APIRouter()
logger = logging.getLogger(__name__)
ACTION_VIEW_TRADES = "view_trades"
def _trade_to_schema(trade: BotTrade) -> BotTradeSchema:
# Join against trigger_post to surface the source tag. When a trade was
# opened by an ingested signal (VCP scanner, user's module, etc.) the
# source reveals WHICH module produced it — critical for "is module X
# actually making money?" attribution analysis.
trigger_source = None
if trade.trigger_post is not None:
trigger_source = trade.trigger_post.source
# Paper trades are tagged via hl_order_id at open time; that's the only
# stable signal we have to distinguish them in aggregate views.
is_paper = (trade.hl_order_id == "paper")
return BotTradeSchema(
id=trade.id,
asset=trade.asset,
side=trade.side,
entry_price=trade.entry_price,
exit_price=trade.exit_price or 0.0,
pnl_usd=trade.pnl_usd or 0.0,
hold_seconds=trade.hold_seconds or 0,
trigger_post_id=trade.trigger_post_id or 0,
opened_at=iso_utc(trade.opened_at) or "",
closed_at=iso_utc(trade.closed_at) or "",
trigger_source=trigger_source,
is_paper=is_paper,
)
@router.get("/trades", response_model=List[BotTradeSchema])
async def get_trades(
wallet: str = Query(..., description="Wallet address (lower-cased internally)"),
ts: int = Query(..., description="Signed timestamp (ms)"),
sig: str = Query(..., description="EIP-191 signature"),
limit: int = Query(default=20, ge=1, le=100),
page: int = Query(default=1, ge=1),
db: AsyncSession = Depends(get_db),
):
wallet = wallet.lower().strip()
verify_signed_request(
action=ACTION_VIEW_TRADES,
wallet=wallet,
timestamp_ms=ts,
signature=sig,
body=None,
allow_replay=True,
)
offset = (page - 1) * limit
# joinedload pulls trigger_post in the same query — avoids N+1 lookups
# when serialising 100 trades.
result = await db.execute(
select(BotTrade)
.options(joinedload(BotTrade.trigger_post))
.where(BotTrade.wallet_address == wallet)
.where(BotTrade.closed_at.is_not(None))
.order_by(BotTrade.opened_at.desc())
.offset(offset)
.limit(limit)
)
trades = result.scalars().all()
return [_trade_to_schema(t) for t in trades]