732 lines
31 KiB
Python
732 lines
31 KiB
Python
"""PostgreSQL persistence adapters (REQ-006).
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- PostgreSQLSlotRepository: implements the domain SlotRepository protocol
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(single-writer, pg_advisory_xact_lock serialization).
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- PostgreSQLIntentStore: implements the application IntentStore port
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(intent_log dedup gate + audit).
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psycopg (v3) is imported lazily so the domain/test paths that use the
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in-memory adapters don't require it. External I/O lives here, never in the
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domain layer (NFR-1).
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"""
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from __future__ import annotations
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import json
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from contextlib import contextmanager
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from datetime import datetime, timezone
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from typing import Any, Iterator, Optional
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from uuid import UUID, uuid4
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from trex_core.application.ledger_outbox import (
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LedgerWorkItem,
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OutboxOutcome,
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WorkItemStatus,
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)
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from trex_core.application.ledger_port import LedgerTrade
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from trex_core.application.ports import IntentRecord
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from trex_core.application.strategy_state import (
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SetResult,
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StrategyStateEntry,
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_cas,
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)
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from trex_core.domain.slot import Slot, SlotNotFoundError, SlotState, SlotTransitionRecord
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_SLOT_COLUMNS = (
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"slot_id, status, symbol, qty, avg_price, limit_price, "
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"order_id, strategy_id, broker_order_id, portfolio_id, "
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"sell_strategy_id, forced_close_at, stop_loss_price, take_profit_price, "
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"created_at, updated_at, instance_key, retired_at, "
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"timeout_sec, slippage_pct, occupancy_seq, venue"
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)
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def _require_psycopg(module: Any = None) -> Any:
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if module is not None:
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return module
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try:
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import psycopg # type: ignore[import-not-found]
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except ImportError as exc: # pragma: no cover - environment guard
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raise RuntimeError(
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"psycopg is required for PostgreSQL adapters. Install 'trex-core[postgres]'."
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) from exc
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return psycopg
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class PostgreSQLSlotRepository:
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"""psycopg-backed SlotRepository. Connection-per-call (orbit-proven)."""
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def __init__(self, dsn: str, *, psycopg_module: Any = None) -> None:
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self._psycopg = _require_psycopg(psycopg_module)
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self._dsn = dsn
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@contextmanager
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def transactional_advisory_lock(self, lock_id: int) -> Iterator[None]:
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with self._psycopg.connect(self._dsn, autocommit=False) as conn:
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try:
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with conn.cursor() as cur:
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cur.execute("SELECT pg_advisory_xact_lock(%s)", (lock_id,))
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yield
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conn.commit()
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except BaseException:
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conn.rollback()
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raise
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def list_slots(self, instance_key: str, status_filter: Optional[set[str]] = None) -> list[Slot]:
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with self._psycopg.connect(self._dsn) as conn:
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with conn.cursor() as cur:
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if status_filter:
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# issue #25: filter by status at the DB instead of fetching
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# every row and filtering in Python. ANY(%s) binds the set
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# as a single PG array parameter.
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cur.execute(
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f"SELECT {_SLOT_COLUMNS} FROM daily_slot "
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"WHERE instance_key = %s AND status = ANY(%s)",
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(instance_key, list(status_filter)),
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)
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else:
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cur.execute(
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f"SELECT {_SLOT_COLUMNS} FROM daily_slot WHERE instance_key = %s",
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(instance_key,),
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)
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return [self._row_to_slot(r) for r in cur.fetchall()]
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def fetch_slot(self, slot_id: UUID) -> Optional[Slot]:
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with self._psycopg.connect(self._dsn) as conn:
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with conn.cursor() as cur:
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cur.execute(
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f"SELECT {_SLOT_COLUMNS} FROM daily_slot WHERE slot_id = %s", (slot_id,)
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)
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row = cur.fetchone()
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return self._row_to_slot(row) if row else None
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# --- asset-centric (dcy-020 / BAT-028) ---
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def find_slot_by_portfolio(self, instance_key: str, portfolio_id: str) -> Optional[Slot]:
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with self._psycopg.connect(self._dsn) as conn:
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with conn.cursor() as cur:
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cur.execute(
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f"SELECT {_SLOT_COLUMNS} FROM daily_slot "
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"WHERE instance_key = %s AND portfolio_id = %s LIMIT 1",
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(instance_key, portfolio_id),
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)
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row = cur.fetchone()
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return self._row_to_slot(row) if row else None
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def count_active(self, instance_key: str) -> int:
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with self._psycopg.connect(self._dsn) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"SELECT count(*) FROM daily_slot WHERE instance_key = %s "
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"AND status IN ('holding','pending_buy','pending_sell')",
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(instance_key,),
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)
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row = cur.fetchone()
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return int(row[0]) if row else 0
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def list_holding_slots(self, instance_key: str) -> list[Slot]:
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with self._psycopg.connect(self._dsn) as conn:
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with conn.cursor() as cur:
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cur.execute(
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f"SELECT {_SLOT_COLUMNS} FROM daily_slot "
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"WHERE instance_key = %s AND status = 'holding'",
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(instance_key,),
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)
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return [self._row_to_slot(r) for r in cur.fetchall()]
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def find_managed_slot_by_symbol(self, instance_key: str, symbol: str) -> Optional[Slot]:
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with self._psycopg.connect(self._dsn) as conn:
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with conn.cursor() as cur:
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cur.execute(
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f"SELECT {_SLOT_COLUMNS} FROM daily_slot "
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"WHERE instance_key = %s AND symbol = %s "
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"ORDER BY updated_at DESC NULLS LAST, slot_id ASC LIMIT 1",
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(instance_key, symbol),
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)
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row = cur.fetchone()
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return self._row_to_slot(row) if row else None
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def reconcile_universe(
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self,
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instance_key: str,
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universe: dict[str, str],
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*,
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allow_retire: bool = True,
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) -> dict[str, int]:
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now = datetime.now(tz=timezone.utc)
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created = retired = tombstoned = 0
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with self._psycopg.connect(self._dsn, autocommit=False) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"SELECT portfolio_id, status, retired_at FROM daily_slot "
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"WHERE instance_key = %s AND portfolio_id IS NOT NULL",
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(instance_key,),
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)
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existing = {r[0]: (r[1], r[2]) for r in cur.fetchall()}
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# backfill symbol on slots that were created before this field was populated
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cur.execute(
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"SELECT portfolio_id FROM daily_slot "
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"WHERE instance_key = %s AND portfolio_id IS NOT NULL AND symbol IS NULL",
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(instance_key,),
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)
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null_symbol_pids = {r[0] for r in cur.fetchall()}
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for pid in null_symbol_pids:
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if pid in universe:
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cur.execute(
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"UPDATE daily_slot SET symbol = %s, updated_at = %s "
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"WHERE instance_key = %s AND portfolio_id = %s AND symbol IS NULL",
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(universe[pid], now, instance_key, pid),
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)
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# create new asset slots (idempotent via partial unique)
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for pid, symbol in universe.items():
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if pid in existing:
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continue
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cur.execute(
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"INSERT INTO daily_slot "
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"(slot_id, status, symbol, instance_key, portfolio_id, "
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"created_at, updated_at) VALUES (%s, 'inactive', %s, %s, %s, %s, %s) "
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"ON CONFLICT (instance_key, portfolio_id) "
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"WHERE portfolio_id IS NOT NULL DO NOTHING",
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(uuid4(), symbol, instance_key, pid, now, now),
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)
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created += cur.rowcount
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# retire / tombstone assets that left the universe (skipped under
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# the mass-disappearance guard, dcy-020/OQ-2 D3)
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if allow_retire:
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for pid, (status, retired_at) in existing.items():
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if pid in universe:
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continue
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if status in ("holding", "pending_buy", "pending_sell"):
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tombstoned += 1
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elif retired_at is None:
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cur.execute(
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"UPDATE daily_slot SET retired_at = %s, updated_at = %s "
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"WHERE instance_key = %s AND portfolio_id = %s",
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(now, now, instance_key, pid),
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)
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retired += 1
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conn.commit()
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return {"created": created, "retired": retired, "tombstoned": tombstoned}
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def update_slot(self, slot: Slot) -> None:
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with self._psycopg.connect(self._dsn, autocommit=False) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"UPDATE daily_slot SET status=%s, symbol=%s, qty=%s, avg_price=%s, "
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"limit_price=%s, order_id=%s, strategy_id=%s, "
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"broker_order_id=%s, portfolio_id=%s, sell_strategy_id=%s, "
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"forced_close_at=%s, stop_loss_price=%s, take_profit_price=%s, "
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"instance_key=%s, retired_at=%s, timeout_sec=%s, slippage_pct=%s, "
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"occupancy_seq=%s, venue=%s, updated_at=%s WHERE slot_id=%s",
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(
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slot.status.value,
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slot.symbol,
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slot.qty,
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slot.avg_price,
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slot.limit_price,
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slot.order_id,
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slot.strategy_id,
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slot.broker_order_id,
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slot.portfolio_id,
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slot.sell_strategy_id,
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slot.forced_close_at,
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slot.stop_loss_price,
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slot.take_profit_price,
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slot.instance_key,
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slot.retired_at,
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slot.timeout_sec,
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slot.slippage_pct,
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slot.occupancy_seq,
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slot.venue,
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slot.updated_at or datetime.now(tz=timezone.utc),
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slot.slot_id,
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),
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)
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if cur.rowcount == 0:
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conn.rollback()
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raise SlotNotFoundError(f"slot not found: {slot.slot_id}")
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conn.commit()
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def append_transition_log(self, record: SlotTransitionRecord) -> None:
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with self._psycopg.connect(self._dsn, autocommit=False) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"INSERT INTO slot_transition_log "
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"(slot_id, from_state, to_state, ts, reason, actor, extra) "
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"VALUES (%s, %s, %s, %s, %s, %s, %s)",
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(
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record.slot_id,
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record.from_state.value,
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record.to_state.value,
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record.ts,
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record.reason,
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record.actor,
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json.dumps(record.extra),
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),
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)
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conn.commit()
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# --- order execution queue (BAT-004 / REQ-013, option A) ---
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def list_undispatched_pending(
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self,
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instance_key: str = "default",
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limit: int = 64,
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) -> list[Slot]:
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# dcy-020/REQ-056 (BAT-030): instance-scoped so two daemons sharing a
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# DB never dispatch each other's orders. List-based (vs single-row
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# claim) so one skipped sell (broker flat) cannot head-block the queue.
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with self._psycopg.connect(self._dsn) as conn:
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with conn.cursor() as cur:
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cur.execute(
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f"SELECT {_SLOT_COLUMNS} FROM daily_slot "
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"WHERE instance_key = %s "
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"AND status IN ('pending_buy','pending_sell') AND broker_order_id IS NULL "
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"ORDER BY updated_at LIMIT %s",
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(instance_key, limit),
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)
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return [self._row_to_slot(r) for r in cur.fetchall()]
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def mark_dispatched(
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self,
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slot_id: UUID,
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broker_order_id: str,
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*,
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venue: Optional[str] = None,
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) -> bool:
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with self._psycopg.connect(self._dsn, autocommit=False) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"UPDATE daily_slot SET broker_order_id=%s, "
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"venue=COALESCE(%s, venue), updated_at=%s "
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"WHERE slot_id=%s AND broker_order_id IS NULL",
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(
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broker_order_id,
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venue,
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datetime.now(tz=timezone.utc),
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slot_id,
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),
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)
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ok = cur.rowcount == 1
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conn.commit()
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return ok
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def replace_dispatch(
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self,
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slot_id: UUID,
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expected_broker_order_id: str,
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broker_order_id: str,
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) -> bool:
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"""Atomically persist a broker order ID resolved after submit timeout."""
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with self._psycopg.connect(self._dsn, autocommit=False) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"UPDATE daily_slot SET broker_order_id=%s, updated_at=%s "
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"WHERE slot_id=%s AND broker_order_id=%s",
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(
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broker_order_id,
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datetime.now(tz=timezone.utc),
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slot_id,
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expected_broker_order_id,
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),
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)
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ok = cur.rowcount == 1
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conn.commit()
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return ok
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def list_dispatched_pending(self, instance_key: str = "default") -> list[Slot]:
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with self._psycopg.connect(self._dsn) as conn:
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with conn.cursor() as cur:
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cur.execute(
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f"SELECT {_SLOT_COLUMNS} FROM daily_slot "
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"WHERE instance_key = %s "
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"AND status IN ('pending_buy','pending_sell') AND broker_order_id IS NOT NULL",
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(instance_key,),
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)
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return [self._row_to_slot(r) for r in cur.fetchall()]
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def clear_dispatch(self, slot_id: UUID) -> None:
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with self._psycopg.connect(self._dsn, autocommit=False) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"UPDATE daily_slot SET broker_order_id=NULL, updated_at=%s WHERE slot_id=%s",
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(datetime.now(tz=timezone.utc), slot_id),
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)
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conn.commit()
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def count_slots_by_status(self, instance_key: str) -> dict[SlotState, int]:
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with self._psycopg.connect(self._dsn) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"SELECT status, COUNT(*) FROM daily_slot WHERE instance_key = %s "
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"GROUP BY status",
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(instance_key,),
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)
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return {SlotState(r[0]): int(r[1]) for r in cur.fetchall()}
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@staticmethod
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def _row_to_slot(row: tuple) -> Slot:
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from decimal import Decimal
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f = lambda v: float(v) if v is not None else None # noqa: E731
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d = lambda v: Decimal(str(v)) if v is not None else None # noqa: E731
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# Column order: slot_id(0) status(1) symbol(2) qty(3) avg_price(4)
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# limit_price(5) order_id(6) strategy_id(7)
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# broker_order_id(8) portfolio_id(9) sell_strategy_id(10)
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# forced_close_at(11) stop_loss_price(12) take_profit_price(13)
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# created_at(14) updated_at(15) instance_key(16) retired_at(17)
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# timeout_sec(18) slippage_pct(19) [dcy-022/REQ-068]
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# occupancy_seq(20) [dcy-028/REQ-081], venue(21)
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return Slot(
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slot_id=row[0] if isinstance(row[0], UUID) else UUID(str(row[0])),
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status=SlotState(row[1]),
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symbol=row[2],
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qty=f(row[3]),
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avg_price=f(row[4]),
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limit_price=f(row[5]),
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order_id=row[6],
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strategy_id=row[7],
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broker_order_id=row[8],
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portfolio_id=row[9],
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sell_strategy_id=row[10],
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forced_close_at=row[11],
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stop_loss_price=d(row[12]),
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take_profit_price=d(row[13]),
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created_at=row[14],
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updated_at=row[15],
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instance_key=row[16] if row[16] is not None else "default",
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retired_at=row[17],
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timeout_sec=int(row[18]) if row[18] is not None else None,
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slippage_pct=f(row[19]),
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occupancy_seq=int(row[20]) if len(row) > 20 and row[20] is not None else 0,
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venue=str(row[21]) if len(row) > 21 and row[21] is not None else "KRX",
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)
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class PostgreSQLIntentStore:
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"""intent_log-backed IntentStore. intent_id UNIQUE is the dedup gate."""
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def __init__(self, dsn: str, *, psycopg_module: Any = None) -> None:
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self._psycopg = _require_psycopg(psycopg_module)
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self._dsn = dsn
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def try_insert(self, intent_id: str, intent_type: str, payload: dict) -> bool:
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with self._psycopg.connect(self._dsn, autocommit=False) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"INSERT INTO intent_log (intent_id, intent_type, payload, status) "
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"VALUES (%s, %s, %s, 'processing') ON CONFLICT (intent_id) DO NOTHING",
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(intent_id, intent_type, json.dumps(payload)),
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)
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inserted = cur.rowcount == 1
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conn.commit()
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return inserted
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def get(self, intent_id: str) -> Optional[IntentRecord]:
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with self._psycopg.connect(self._dsn) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"SELECT intent_id, intent_type, status, slot_id, reason "
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"FROM intent_log WHERE intent_id = %s",
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(intent_id,),
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)
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row = cur.fetchone()
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if row is None:
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return None
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return _PgIntentRecord(
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intent_id=row[0],
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intent_type=row[1],
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status=row[2],
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slot_id=(
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row[3] if isinstance(row[3], UUID) or row[3] is None else UUID(str(row[3]))
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),
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reason=row[4],
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)
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def finalize(
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self, intent_id: str, status: str, slot_id: Optional[UUID], reason: Optional[str]
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) -> None:
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with self._psycopg.connect(self._dsn, autocommit=False) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"UPDATE intent_log SET status=%s, slot_id=%s, reason=%s, updated_at=%s "
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"WHERE intent_id=%s",
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(status, slot_id, reason, datetime.now(tz=timezone.utc), intent_id),
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)
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conn.commit()
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class _PgIntentRecord:
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def __init__(self, intent_id, intent_type, status, slot_id, reason):
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self.intent_id = intent_id
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self.intent_type = intent_type
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self.status = status
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self.slot_id = slot_id
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self.reason = reason
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# --- ledger outbox (BAT-006 / REQ-019) ---------------------------------------
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_OUTBOX_COLUMNS = (
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"correlation_id, asset_id, order_id, execution_id, side, qty, price, "
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"fee, tax, executed_at, status, attempts, last_outcome, last_error, "
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"created_at, updated_at, next_retry_at, venue"
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)
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class PostgreSQLLedgerOutbox:
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"""ledger_outbox-backed LedgerOutbox. correlation_id PK is the dedup gate."""
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def __init__(self, dsn: str, *, psycopg_module: Any = None) -> None:
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self._psycopg = _require_psycopg(psycopg_module)
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self._dsn = dsn
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def enqueue(self, trade: LedgerTrade) -> LedgerWorkItem:
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with self._psycopg.connect(self._dsn, autocommit=False) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"INSERT INTO ledger_outbox "
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"(correlation_id, asset_id, order_id, execution_id, side, "
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" qty, price, fee, tax, executed_at, venue) "
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"VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s) "
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"ON CONFLICT (correlation_id) DO NOTHING",
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(
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trade.correlation_id,
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trade.asset_id,
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trade.order_id,
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trade.execution_id,
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trade.side,
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trade.qty,
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trade.price,
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trade.fee,
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trade.tax,
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trade.executed_at,
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trade.venue,
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),
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)
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conn.commit()
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existing = self.get(trade.correlation_id)
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assert existing is not None
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return existing
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def list_pending(self, limit: int = 32) -> list[LedgerWorkItem]:
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with self._psycopg.connect(self._dsn) as conn:
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with conn.cursor() as cur:
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cur.execute(
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f"SELECT {_OUTBOX_COLUMNS} FROM ledger_outbox "
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"WHERE status = 'pending' "
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"AND (next_retry_at IS NULL OR next_retry_at <= now()) "
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"ORDER BY created_at LIMIT %s",
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(limit,),
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)
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return [self._row_to_item(r) for r in cur.fetchall()]
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def pending_cash_delta(self) -> dict[str, float]:
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# dcy-018 / REQ-029 (OQ-4): estimated cash delta of all pending rows by
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# asset_id. SUM in SQL: sell → +(qty*price - fee - tax), buy → negative.
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with self._psycopg.connect(self._dsn) as conn:
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with conn.cursor() as cur:
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cur.execute(
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"SELECT asset_id, "
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"SUM(CASE WHEN side='sell' "
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" THEN (qty*price - fee - tax) "
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" ELSE -(qty*price + fee + tax) END) "
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"FROM ledger_outbox WHERE status='pending' GROUP BY asset_id"
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)
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return {r[0]: float(r[1]) for r in cur.fetchall() if r[1] is not None}
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def get(self, correlation_id: str) -> Optional[LedgerWorkItem]:
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with self._psycopg.connect(self._dsn) as conn:
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with conn.cursor() as cur:
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cur.execute(
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f"SELECT {_OUTBOX_COLUMNS} FROM ledger_outbox WHERE correlation_id = %s",
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(correlation_id,),
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)
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row = cur.fetchone()
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return self._row_to_item(row) if row else None
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def mark_outcome(
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self,
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correlation_id: str,
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outcome: OutboxOutcome,
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*,
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error: Optional[str] = None,
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next_retry_at: Optional[datetime] = None,
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) -> LedgerWorkItem:
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with self._psycopg.connect(self._dsn, autocommit=False) as conn:
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with conn.cursor() as cur:
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if outcome is OutboxOutcome.COMPLETED:
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status_value = WorkItemStatus.COMPLETED.value
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attempts_delta = 1
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elif outcome is OutboxOutcome.CONFLICT_BLOCKED:
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status_value = WorkItemStatus.CONFLICT_BLOCKED.value
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attempts_delta = 1
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elif outcome in (OutboxOutcome.PERMANENT_FAILURE, OutboxOutcome.DEAD_LETTERED):
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# dcy-015 / REQ-019: terminal delivery_failed (reason in last_outcome).
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status_value = WorkItemStatus.DELIVERY_FAILED.value
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attempts_delta = 1
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elif outcome is OutboxOutcome.DUPLICATE_COMPLETED:
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status_value = WorkItemStatus.COMPLETED.value
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attempts_delta = 0
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else: # retryable
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status_value = WorkItemStatus.PENDING.value
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attempts_delta = 1
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# next_retry_at only persists for a retryable backoff; cleared otherwise.
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nra = next_retry_at if outcome is OutboxOutcome.RETRYABLE_FAILURE else None
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cur.execute(
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"UPDATE ledger_outbox SET status=%s, attempts=attempts+%s, "
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"last_outcome=%s, last_error=%s, next_retry_at=%s, updated_at=%s "
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"WHERE correlation_id=%s",
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(
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status_value,
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attempts_delta,
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outcome.value,
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error,
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nra,
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datetime.now(tz=timezone.utc),
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correlation_id,
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),
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)
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conn.commit()
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row = self.get(correlation_id)
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assert row is not None
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return row
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|
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@staticmethod
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def _row_to_item(row: tuple) -> LedgerWorkItem:
|
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f = lambda v: float(v) if v is not None else 0.0 # noqa: E731
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trade = LedgerTrade(
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asset_id=row[1],
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order_id=row[2],
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execution_id=row[3],
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side=row[4],
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qty=f(row[5]),
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price=f(row[6]),
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fee=f(row[7]),
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tax=f(row[8]),
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executed_at=row[9],
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venue=row[17],
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)
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return LedgerWorkItem(
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correlation_id=row[0],
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trade=trade,
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status=WorkItemStatus(row[10]),
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attempts=int(row[11]) if row[11] is not None else 0,
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last_outcome=OutboxOutcome(row[12]) if row[12] else None,
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last_error=row[13],
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created_at=row[14],
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updated_at=row[15],
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next_retry_at=row[16],
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)
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class PgStrategyStateStore:
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"""slot_strategy_state-backed StrategyStateStore (dcy-028 / REQ-079).
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Stores opaque per-strategy state keyed by (slot_id, strategy_id). The CAS
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decision is the same `_cas` used by the in-memory double; occupancy_seq and
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|
slot_active are supplied by the caller (fetched from the slot) so the store
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only owns the slot_strategy_state table.
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"""
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|
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def __init__(self, dsn: str, *, psycopg_module: Any = None) -> None:
|
|
self._psycopg = _require_psycopg(psycopg_module)
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self._dsn = dsn
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|
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def set(
|
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self,
|
|
slot_id: UUID,
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|
strategy_id: str,
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|
*,
|
|
expected_occupancy_seq: int,
|
|
expected_version: int,
|
|
data: str,
|
|
current_occupancy_seq: int,
|
|
slot_active: bool,
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|
) -> SetResult:
|
|
with self._psycopg.connect(self._dsn, autocommit=False) as conn:
|
|
try:
|
|
with conn.cursor() as cur:
|
|
cur.execute(
|
|
"SELECT occupancy_seq, version, data, updated_at "
|
|
"FROM slot_strategy_state "
|
|
"WHERE slot_id = %s AND strategy_id = %s FOR UPDATE",
|
|
(slot_id, strategy_id),
|
|
)
|
|
row = cur.fetchone()
|
|
existing = (
|
|
StrategyStateEntry(
|
|
strategy_id=strategy_id,
|
|
occupancy_seq=int(row[0]),
|
|
version=int(row[1]),
|
|
data=row[2],
|
|
updated_at=row[3],
|
|
)
|
|
if row is not None
|
|
else None
|
|
)
|
|
result = _cas(
|
|
existing,
|
|
expected_occupancy_seq=expected_occupancy_seq,
|
|
expected_version=expected_version,
|
|
data=data,
|
|
current_occupancy_seq=current_occupancy_seq,
|
|
slot_active=slot_active,
|
|
)
|
|
if not result.ok:
|
|
conn.rollback()
|
|
return result
|
|
cur.execute(
|
|
"INSERT INTO slot_strategy_state "
|
|
"(slot_id, strategy_id, occupancy_seq, version, data, updated_at) "
|
|
"VALUES (%s, %s, %s, %s, %s, %s) "
|
|
"ON CONFLICT (slot_id, strategy_id) DO UPDATE SET "
|
|
"occupancy_seq = EXCLUDED.occupancy_seq, "
|
|
"version = EXCLUDED.version, data = EXCLUDED.data, "
|
|
"updated_at = EXCLUDED.updated_at",
|
|
(
|
|
slot_id,
|
|
strategy_id,
|
|
current_occupancy_seq,
|
|
result.version,
|
|
data,
|
|
datetime.now(tz=timezone.utc),
|
|
),
|
|
)
|
|
conn.commit()
|
|
return result
|
|
except BaseException:
|
|
conn.rollback()
|
|
raise
|
|
|
|
def get_for_slots(
|
|
self, slot_ids: list[UUID], current_occupancy_seq: dict[UUID, int]
|
|
) -> dict[UUID, dict[str, StrategyStateEntry]]:
|
|
if not slot_ids:
|
|
return {}
|
|
out: dict[UUID, dict[str, StrategyStateEntry]] = {}
|
|
with self._psycopg.connect(self._dsn) as conn:
|
|
with conn.cursor() as cur:
|
|
cur.execute(
|
|
"SELECT slot_id, strategy_id, occupancy_seq, version, data, updated_at "
|
|
"FROM slot_strategy_state WHERE slot_id = ANY(%s)",
|
|
(list(slot_ids),),
|
|
)
|
|
for row in cur.fetchall():
|
|
sid = row[0] if isinstance(row[0], UUID) else UUID(str(row[0]))
|
|
# stale-occupancy entries are invisible (dcy-028 FR-3 defense)
|
|
if int(row[2]) != current_occupancy_seq.get(sid):
|
|
continue
|
|
out.setdefault(sid, {})[row[1]] = StrategyStateEntry(
|
|
strategy_id=row[1],
|
|
occupancy_seq=int(row[2]),
|
|
version=int(row[3]),
|
|
data=row[4],
|
|
updated_at=row[5],
|
|
)
|
|
return out
|
|
|
|
def delete_all(self, slot_id: UUID) -> None:
|
|
with self._psycopg.connect(self._dsn, autocommit=False) as conn:
|
|
with conn.cursor() as cur:
|
|
cur.execute("DELETE FROM slot_strategy_state WHERE slot_id = %s", (slot_id,))
|
|
conn.commit()
|