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feat(routing): wire AI target_asset end-to-end — bot trades the right perp

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Closes the loop on the asset-routing prompt change. Previously the v5
prompt emitted target_asset (e.g. SOL, TRUMP) but bot_engine still
read price_impact_asset and only ever traded BTC/ETH. Now the trade
actually fires on whatever perp the AI picked.

Schema (alembic 006):
  posts.target_asset       (str)   — HL perp ticker, any of the universe
  posts.category           (str)   — 6-class enum (direct_named, etc.)
  posts.expected_move_pct  (float) — AI's 1h move estimate

Wiring:
  truth_social.py persists the three fields when creating Post rows.
  bot_engine.py routing:  asset = target_asset || price_impact_asset || BTC
  Old rows (target_asset=NULL) fall back to legacy BTC/ETH path — no
  retroactive scoring needed; new rows route correctly from now on.

Hyperliquid trader doesn't need changes — `coin` is already a parameter,
and analysis.py validated against HL_PERPS before storing target_asset
so by the time bot_engine reads the field, it's guaranteed tradeable.

Deployment:
  alembic upgrade head    # adds the 3 columns
  Restart api container

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
k
2026-05-08 15:30:41 +08:00
parent 8fd9da3c8d
commit 9872a4cc52
4 changed files with 56 additions and 1 deletions
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app/models.py
+7
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@@ -53,6 +53,13 @@ class Post(Base):
ai_reasoning: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
prefilter_reason: Mapped[Optional[str]] = mapped_column(String(32), nullable=True)
analysis_version: Mapped[Optional[str]] = mapped_column(String(16), nullable=True)
# v5: AI-decided trade target. Can be any HL perp (BTC/ETH/SOL/TRUMP/...),
# not just BTC/ETH. The bot routes the actual trade here.
# `price_impact_asset` stays bound to BTC/ETH for the existing
# price_impact_monitor; `target_asset` is what we actually trade.
target_asset: Mapped[Optional[str]] = mapped_column(String(16), nullable=True)
category: Mapped[Optional[str]] = mapped_column(String(24), nullable=True)
expected_move_pct: Mapped[Optional[float]] = mapped_column(Float, nullable=True)
created_at: Mapped[datetime] = mapped_column(DateTime, nullable=False, default=utcnow)
trades: Mapped[List["BotTrade"]] = relationship("BotTrade", back_populates="trigger_post")