760 lines
32 KiB
Python
760 lines
32 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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"cancel_state, cancel_requested_at"
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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, cancel_state=%s, "
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"cancel_requested_at=%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.cancel_state,
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slot.cancel_requested_at,
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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 mark_cancel_outcome(
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self,
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slot_id: UUID,
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broker_order_id: str,
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state: str,
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) -> bool:
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now = datetime.now(tz=timezone.utc)
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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 cancel_state=%s, "
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"cancel_requested_at=%s, updated_at=%s "
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"WHERE slot_id=%s AND broker_order_id=%s "
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"AND status IN ('pending_buy','pending_sell')",
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(state, now, now, slot_id, broker_order_id),
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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, cancel_state=NULL, "
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"cancel_requested_at=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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# cancel_state(22), cancel_requested_at(23)
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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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cancel_state=str(row[22]) if len(row) > 22 and row[22] is not None else None,
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cancel_requested_at=row[23] if len(row) > 23 else None,
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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]:
|
|
with self._psycopg.connect(self._dsn) as conn:
|
|
with conn.cursor() as cur:
|
|
cur.execute(
|
|
"SELECT intent_id, intent_type, status, slot_id, reason "
|
|
"FROM intent_log WHERE intent_id = %s",
|
|
(intent_id,),
|
|
)
|
|
row = cur.fetchone()
|
|
if row is None:
|
|
return None
|
|
return _PgIntentRecord(
|
|
intent_id=row[0],
|
|
intent_type=row[1],
|
|
status=row[2],
|
|
slot_id=(
|
|
row[3] if isinstance(row[3], UUID) or row[3] is None else UUID(str(row[3]))
|
|
),
|
|
reason=row[4],
|
|
)
|
|
|
|
def finalize(
|
|
self, intent_id: str, status: str, slot_id: Optional[UUID], reason: Optional[str]
|
|
) -> None:
|
|
with self._psycopg.connect(self._dsn, autocommit=False) as conn:
|
|
with conn.cursor() as cur:
|
|
cur.execute(
|
|
"UPDATE intent_log SET status=%s, slot_id=%s, reason=%s, updated_at=%s "
|
|
"WHERE intent_id=%s",
|
|
(status, slot_id, reason, datetime.now(tz=timezone.utc), intent_id),
|
|
)
|
|
conn.commit()
|
|
|
|
|
|
class _PgIntentRecord:
|
|
def __init__(self, intent_id, intent_type, status, slot_id, reason):
|
|
self.intent_id = intent_id
|
|
self.intent_type = intent_type
|
|
self.status = status
|
|
self.slot_id = slot_id
|
|
self.reason = reason
|
|
|
|
|
|
# --- ledger outbox (BAT-006 / REQ-019) ---------------------------------------
|
|
|
|
_OUTBOX_COLUMNS = (
|
|
"correlation_id, asset_id, order_id, execution_id, side, qty, price, "
|
|
"fee, tax, executed_at, status, attempts, last_outcome, last_error, "
|
|
"created_at, updated_at, next_retry_at, venue"
|
|
)
|
|
|
|
|
|
class PostgreSQLLedgerOutbox:
|
|
"""ledger_outbox-backed LedgerOutbox. correlation_id PK is the dedup gate."""
|
|
|
|
def __init__(self, dsn: str, *, psycopg_module: Any = None) -> None:
|
|
self._psycopg = _require_psycopg(psycopg_module)
|
|
self._dsn = dsn
|
|
|
|
def enqueue(self, trade: LedgerTrade) -> LedgerWorkItem:
|
|
with self._psycopg.connect(self._dsn, autocommit=False) as conn:
|
|
with conn.cursor() as cur:
|
|
cur.execute(
|
|
"INSERT INTO ledger_outbox "
|
|
"(correlation_id, asset_id, order_id, execution_id, side, "
|
|
" qty, price, fee, tax, executed_at, venue) "
|
|
"VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s) "
|
|
"ON CONFLICT (correlation_id) DO NOTHING",
|
|
(
|
|
trade.correlation_id,
|
|
trade.asset_id,
|
|
trade.order_id,
|
|
trade.execution_id,
|
|
trade.side,
|
|
trade.qty,
|
|
trade.price,
|
|
trade.fee,
|
|
trade.tax,
|
|
trade.executed_at,
|
|
trade.venue,
|
|
),
|
|
)
|
|
conn.commit()
|
|
existing = self.get(trade.correlation_id)
|
|
assert existing is not None
|
|
return existing
|
|
|
|
def list_pending(self, limit: int = 32) -> list[LedgerWorkItem]:
|
|
with self._psycopg.connect(self._dsn) as conn:
|
|
with conn.cursor() as cur:
|
|
cur.execute(
|
|
f"SELECT {_OUTBOX_COLUMNS} FROM ledger_outbox "
|
|
"WHERE status = 'pending' "
|
|
"AND (next_retry_at IS NULL OR next_retry_at <= now()) "
|
|
"ORDER BY created_at LIMIT %s",
|
|
(limit,),
|
|
)
|
|
return [self._row_to_item(r) for r in cur.fetchall()]
|
|
|
|
def pending_cash_delta(self) -> dict[str, float]:
|
|
# dcy-018 / REQ-029 (OQ-4): estimated cash delta of all pending rows by
|
|
# asset_id. SUM in SQL: sell → +(qty*price - fee - tax), buy → negative.
|
|
with self._psycopg.connect(self._dsn) as conn:
|
|
with conn.cursor() as cur:
|
|
cur.execute(
|
|
"SELECT asset_id, "
|
|
"SUM(CASE WHEN side='sell' "
|
|
" THEN (qty*price - fee - tax) "
|
|
" ELSE -(qty*price + fee + tax) END) "
|
|
"FROM ledger_outbox WHERE status='pending' GROUP BY asset_id"
|
|
)
|
|
return {r[0]: float(r[1]) for r in cur.fetchall() if r[1] is not None}
|
|
|
|
def get(self, correlation_id: str) -> Optional[LedgerWorkItem]:
|
|
with self._psycopg.connect(self._dsn) as conn:
|
|
with conn.cursor() as cur:
|
|
cur.execute(
|
|
f"SELECT {_OUTBOX_COLUMNS} FROM ledger_outbox WHERE correlation_id = %s",
|
|
(correlation_id,),
|
|
)
|
|
row = cur.fetchone()
|
|
return self._row_to_item(row) if row else None
|
|
|
|
def mark_outcome(
|
|
self,
|
|
correlation_id: str,
|
|
outcome: OutboxOutcome,
|
|
*,
|
|
error: Optional[str] = None,
|
|
next_retry_at: Optional[datetime] = None,
|
|
) -> LedgerWorkItem:
|
|
with self._psycopg.connect(self._dsn, autocommit=False) as conn:
|
|
with conn.cursor() as cur:
|
|
if outcome is OutboxOutcome.COMPLETED:
|
|
status_value = WorkItemStatus.COMPLETED.value
|
|
attempts_delta = 1
|
|
elif outcome is OutboxOutcome.CONFLICT_BLOCKED:
|
|
status_value = WorkItemStatus.CONFLICT_BLOCKED.value
|
|
attempts_delta = 1
|
|
elif outcome in (OutboxOutcome.PERMANENT_FAILURE, OutboxOutcome.DEAD_LETTERED):
|
|
# dcy-015 / REQ-019: terminal delivery_failed (reason in last_outcome).
|
|
status_value = WorkItemStatus.DELIVERY_FAILED.value
|
|
attempts_delta = 1
|
|
elif outcome is OutboxOutcome.DUPLICATE_COMPLETED:
|
|
status_value = WorkItemStatus.COMPLETED.value
|
|
attempts_delta = 0
|
|
else: # retryable
|
|
status_value = WorkItemStatus.PENDING.value
|
|
attempts_delta = 1
|
|
# next_retry_at only persists for a retryable backoff; cleared otherwise.
|
|
nra = next_retry_at if outcome is OutboxOutcome.RETRYABLE_FAILURE else None
|
|
cur.execute(
|
|
"UPDATE ledger_outbox SET status=%s, attempts=attempts+%s, "
|
|
"last_outcome=%s, last_error=%s, next_retry_at=%s, updated_at=%s "
|
|
"WHERE correlation_id=%s",
|
|
(
|
|
status_value,
|
|
attempts_delta,
|
|
outcome.value,
|
|
error,
|
|
nra,
|
|
datetime.now(tz=timezone.utc),
|
|
correlation_id,
|
|
),
|
|
)
|
|
conn.commit()
|
|
row = self.get(correlation_id)
|
|
assert row is not None
|
|
return row
|
|
|
|
@staticmethod
|
|
def _row_to_item(row: tuple) -> LedgerWorkItem:
|
|
f = lambda v: float(v) if v is not None else 0.0 # noqa: E731
|
|
trade = LedgerTrade(
|
|
asset_id=row[1],
|
|
order_id=row[2],
|
|
execution_id=row[3],
|
|
side=row[4],
|
|
qty=f(row[5]),
|
|
price=f(row[6]),
|
|
fee=f(row[7]),
|
|
tax=f(row[8]),
|
|
executed_at=row[9],
|
|
venue=row[17],
|
|
)
|
|
return LedgerWorkItem(
|
|
correlation_id=row[0],
|
|
trade=trade,
|
|
status=WorkItemStatus(row[10]),
|
|
attempts=int(row[11]) if row[11] is not None else 0,
|
|
last_outcome=OutboxOutcome(row[12]) if row[12] else None,
|
|
last_error=row[13],
|
|
created_at=row[14],
|
|
updated_at=row[15],
|
|
next_retry_at=row[16],
|
|
)
|
|
|
|
|
|
class PgStrategyStateStore:
|
|
"""slot_strategy_state-backed StrategyStateStore (dcy-028 / REQ-079).
|
|
|
|
Stores opaque per-strategy state keyed by (slot_id, strategy_id). The CAS
|
|
decision is the same `_cas` used by the in-memory double; occupancy_seq and
|
|
slot_active are supplied by the caller (fetched from the slot) so the store
|
|
only owns the slot_strategy_state table.
|
|
"""
|
|
|
|
def __init__(self, dsn: str, *, psycopg_module: Any = None) -> None:
|
|
self._psycopg = _require_psycopg(psycopg_module)
|
|
self._dsn = dsn
|
|
|
|
def set(
|
|
self,
|
|
slot_id: UUID,
|
|
strategy_id: str,
|
|
*,
|
|
expected_occupancy_seq: int,
|
|
expected_version: int,
|
|
data: str,
|
|
current_occupancy_seq: int,
|
|
slot_active: bool,
|
|
) -> 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()
|