migration: establish exact preserved app baseline
This commit is contained in:
@@ -0,0 +1,11 @@
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from .connection import ManagedConnection, SQLiteConnectionFactory
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from .migrations import MIGRATIONS, Migration, MigrationError, MigrationRunner
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__all__ = [
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"MIGRATIONS",
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"ManagedConnection",
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"Migration",
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"MigrationError",
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"MigrationRunner",
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"SQLiteConnectionFactory",
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]
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@@ -0,0 +1,33 @@
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from __future__ import annotations
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import sqlite3
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from dataclasses import dataclass
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from pathlib import Path
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class ManagedConnection(sqlite3.Connection):
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"""Commit or roll back, then release the SQLite handle on context exit."""
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def __exit__(self, exc_type, exc_value, traceback):
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try:
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return super().__exit__(exc_type, exc_value, traceback)
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finally:
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self.close()
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@dataclass(frozen=True)
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class SQLiteConnectionFactory:
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path: Path
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timeout_seconds: float = 20
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def connect(self) -> sqlite3.Connection:
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connection = sqlite3.connect(
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self.path,
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timeout=self.timeout_seconds,
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factory=ManagedConnection,
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)
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connection.row_factory = sqlite3.Row
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connection.execute("PRAGMA journal_mode=WAL")
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connection.execute("PRAGMA foreign_keys=ON")
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connection.execute("PRAGMA busy_timeout=20000")
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return connection
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@@ -0,0 +1,8 @@
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from .m0001_adopt_legacy import MIGRATION as M0001_ADOPT_LEGACY
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from .m0002_job_runs import MIGRATION as M0002_JOB_RUNS
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from .m0003_llm_audit import MIGRATION as M0003_LLM_AUDIT
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from .runner import Migration, MigrationError, MigrationRunner
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MIGRATIONS = (M0001_ADOPT_LEGACY, M0002_JOB_RUNS, M0003_LLM_AUDIT)
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__all__ = ["MIGRATIONS", "Migration", "MigrationError", "MigrationRunner"]
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@@ -0,0 +1,42 @@
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from __future__ import annotations
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import sqlite3
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from backend.database.migrations.runner import Migration, MigrationError
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REQUIRED_TABLES = frozenset(
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{
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"users",
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"user_sessions",
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"dashboard_snapshots",
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"watchlist",
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"review_notes",
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"stock_master",
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"daily_bars",
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"screener_runs",
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"mentor_messages",
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"trade_entries",
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"heaven_readings",
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}
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)
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def adopt_legacy_schema(connection: sqlite3.Connection) -> None:
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tables = {
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str(row["name"])
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for row in connection.execute(
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"SELECT name FROM sqlite_master WHERE type = 'table'"
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)
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}
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missing = sorted(REQUIRED_TABLES - tables)
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if missing:
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raise MigrationError(f"Legacy schema is incomplete: {', '.join(missing)}")
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MIGRATION = Migration(
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version="0001",
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name="adopt_legacy_schema",
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action=adopt_legacy_schema,
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signature="required-tables:v1:" + ",".join(sorted(REQUIRED_TABLES)),
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)
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@@ -0,0 +1,47 @@
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from __future__ import annotations
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import sqlite3
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from backend.database.migrations.runner import Migration
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def create_job_runs(connection: sqlite3.Connection) -> None:
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connection.execute(
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"""
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CREATE TABLE IF NOT EXISTS job_runs (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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job_id TEXT NOT NULL,
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idempotency_key TEXT NOT NULL,
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status TEXT NOT NULL,
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attempt INTEGER NOT NULL DEFAULT 1,
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started_at TEXT NOT NULL,
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finished_at TEXT,
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elapsed_ms INTEGER NOT NULL DEFAULT 0,
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error_code TEXT NOT NULL DEFAULT '',
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message TEXT NOT NULL DEFAULT '',
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output_version TEXT NOT NULL DEFAULT '',
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metadata TEXT NOT NULL DEFAULT '{}',
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UNIQUE(job_id, idempotency_key, attempt)
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)
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"""
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)
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connection.execute(
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"""
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CREATE INDEX IF NOT EXISTS idx_job_runs_job_started
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ON job_runs(job_id, started_at DESC, id DESC)
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"""
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)
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connection.execute(
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"""
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CREATE INDEX IF NOT EXISTS idx_job_runs_status
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ON job_runs(status, started_at DESC, id DESC)
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"""
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)
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MIGRATION = Migration(
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version="0002",
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name="create_job_runs",
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action=create_job_runs,
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signature="job-runs:v1:id,job,key,status,attempt,times,elapsed,error,output,metadata",
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)
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@@ -0,0 +1,32 @@
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from __future__ import annotations
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import sqlite3
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from backend.database.migrations.runner import Migration
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def extend_llm_audit(connection: sqlite3.Connection) -> None:
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columns = {
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str(row["name"])
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for row in connection.execute("PRAGMA table_info(llm_usage)")
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}
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additions = (
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("role", "TEXT NOT NULL DEFAULT ''"),
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("prompt_version", "TEXT NOT NULL DEFAULT ''"),
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("error_code", "TEXT NOT NULL DEFAULT ''"),
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("input_tokens", "INTEGER NOT NULL DEFAULT 0"),
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("output_tokens", "INTEGER NOT NULL DEFAULT 0"),
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)
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for name, declaration in additions:
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if name not in columns:
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connection.execute(
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f"ALTER TABLE llm_usage ADD COLUMN {name} {declaration}"
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)
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MIGRATION = Migration(
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version="0003",
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name="extend_llm_audit",
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action=extend_llm_audit,
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signature="llm-audit:v1:role,prompt-version,error-code,input-tokens,output-tokens",
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)
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@@ -0,0 +1,98 @@
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from __future__ import annotations
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import hashlib
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import sqlite3
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from collections.abc import Callable, Iterable
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from dataclasses import dataclass
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from datetime import datetime, timezone
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MigrationAction = Callable[[sqlite3.Connection], None]
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class MigrationError(RuntimeError):
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pass
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@dataclass(frozen=True)
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class Migration:
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version: str
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name: str
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action: MigrationAction
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signature: str
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@property
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def checksum(self) -> str:
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return hashlib.sha256(self.signature.encode("utf-8")).hexdigest()
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class MigrationRunner:
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def apply(
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self,
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connection: sqlite3.Connection,
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migrations: Iterable[Migration],
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) -> tuple[str, ...]:
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ordered = sorted(migrations, key=lambda item: item.version)
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versions = [item.version for item in ordered]
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if versions != sorted(set(versions)):
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raise MigrationError("Migration versions must be unique and ordered")
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self._ensure_ledger(connection)
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applied = {
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str(row["version"]): str(row["checksum"])
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for row in connection.execute(
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"SELECT version, checksum FROM schema_migrations ORDER BY version"
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)
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}
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known = set(versions)
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unknown = sorted(set(applied) - known)
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if unknown:
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raise MigrationError(f"Database contains unknown migrations: {', '.join(unknown)}")
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completed: list[str] = []
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for migration in ordered:
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existing = applied.get(migration.version)
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if existing:
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if existing != migration.checksum:
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raise MigrationError(
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f"Migration checksum changed: {migration.version} {migration.name}"
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)
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continue
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savepoint = f"migration_{migration.version.replace('-', '_')}"
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connection.execute(f"SAVEPOINT {savepoint}")
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try:
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migration.action(connection)
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connection.execute(
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"""
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INSERT INTO schema_migrations
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(version, name, checksum, applied_at)
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VALUES (?, ?, ?, ?)
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""",
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(
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migration.version,
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migration.name,
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migration.checksum,
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datetime.now(timezone.utc).isoformat(),
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),
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)
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connection.execute(f"RELEASE SAVEPOINT {savepoint}")
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except Exception as exc:
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connection.execute(f"ROLLBACK TO SAVEPOINT {savepoint}")
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connection.execute(f"RELEASE SAVEPOINT {savepoint}")
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raise MigrationError(
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f"Migration failed: {migration.version} {migration.name}"
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) from exc
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completed.append(migration.version)
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return tuple(completed)
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@staticmethod
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def _ensure_ledger(connection: sqlite3.Connection) -> None:
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connection.execute(
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"""
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CREATE TABLE IF NOT EXISTS schema_migrations (
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version TEXT PRIMARY KEY,
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name TEXT NOT NULL,
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checksum TEXT NOT NULL,
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applied_at TEXT NOT NULL
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)
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"""
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)
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@@ -0,0 +1,21 @@
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from .ports import AlertRepository, StrategyTrackingRepository, TradeJournalRepository
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from .sqlite import (
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RepositoryBundle,
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SQLiteAlertRepository,
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SQLiteStrategyTrackingRepository,
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SQLiteTradeJournalRepository,
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build_repository_bundle,
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require_user_id,
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)
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__all__ = [
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"AlertRepository",
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"RepositoryBundle",
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"SQLiteAlertRepository",
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"SQLiteStrategyTrackingRepository",
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"SQLiteTradeJournalRepository",
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"StrategyTrackingRepository",
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"TradeJournalRepository",
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"build_repository_bundle",
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"require_user_id",
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]
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@@ -0,0 +1,52 @@
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from __future__ import annotations
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from typing import Any, Protocol
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class AlertRepository(Protocol):
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def save_alert(
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self, user_id: int, kind: str, title: str, content: str,
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available_date: str, code: str, dedupe_key: str,
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) -> int: ...
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def list_alerts(
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self, user_id: int, as_of: str, unread_only: bool = False, limit: int = 100,
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) -> list[dict[str, Any]]: ...
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def count_unread_alerts(self, user_id: int, as_of: str) -> int: ...
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def mark_alert_read(self, user_id: int, alert_id: int) -> bool: ...
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def mark_all_alerts_read(self, user_id: int, as_of: str) -> int: ...
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def delete_alert(self, user_id: int, alert_id: int) -> bool: ...
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class TradeJournalRepository(Protocol):
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def save_trade_entry(self, *args: Any, **kwargs: Any) -> int: ...
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def list_trade_entries(
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self, user_id: int, start_date: str = "", end_date: str = "",
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code: str = "", limit: int = 300,
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) -> list[dict[str, Any]]: ...
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def delete_trade_entry(self, user_id: int, trade_id: int) -> bool: ...
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class StrategyTrackingRepository(Protocol):
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def save_strategy_tracks(
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self, user_id: int, run_id: int, selection_date: str,
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strategy_name: str, candidates: list[dict[str, Any]],
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) -> int: ...
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def get_screener_run(self, user_id: int, run_id: int) -> dict[str, Any] | None: ...
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def delete_strategy_track(self, user_id: int, track_id: int) -> bool: ...
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def list_strategy_tracks(
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self, user_id: int, limit_batches: int = 12,
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) -> list[dict[str, Any]]: ...
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def load_tracking_bars(
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self, targets: list[tuple[str, str]], limit: int = 5,
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) -> dict[tuple[str, str], list[dict[str, Any]]]: ...
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@@ -0,0 +1,108 @@
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import Any
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from database import ReviewDatabase
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def require_user_id(value: int) -> int:
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user_id = int(value)
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if user_id <= 0:
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raise ValueError("A positive account owner is required")
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return user_id
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@dataclass(frozen=True)
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class SQLiteAlertRepository:
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database: ReviewDatabase
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def save_alert(self, user_id: int, *args: Any, **kwargs: Any) -> int:
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return self.database.save_alert(require_user_id(user_id), *args, **kwargs)
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def list_alerts(
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self, user_id: int, as_of: str, unread_only: bool = False, limit: int = 100,
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) -> list[dict[str, Any]]:
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return self.database.list_alerts(
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require_user_id(user_id), as_of, unread_only, limit
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)
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def count_unread_alerts(self, user_id: int, as_of: str) -> int:
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return self.database.count_unread_alerts(require_user_id(user_id), as_of)
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def mark_alert_read(self, user_id: int, alert_id: int) -> bool:
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return self.database.mark_alert_read(require_user_id(user_id), alert_id)
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def mark_all_alerts_read(self, user_id: int, as_of: str) -> int:
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return self.database.mark_all_alerts_read(require_user_id(user_id), as_of)
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def delete_alert(self, user_id: int, alert_id: int) -> bool:
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return self.database.delete_alert(require_user_id(user_id), alert_id)
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@dataclass(frozen=True)
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class SQLiteTradeJournalRepository:
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database: ReviewDatabase
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def save_trade_entry(self, user_id: int, *args: Any, **kwargs: Any) -> int:
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return self.database.save_trade_entry(require_user_id(user_id), *args, **kwargs)
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def list_trade_entries(
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self, user_id: int, start_date: str = "", end_date: str = "",
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code: str = "", limit: int = 300,
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) -> list[dict[str, Any]]:
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return self.database.list_trade_entries(
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require_user_id(user_id), start_date, end_date, code, limit
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)
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def delete_trade_entry(self, user_id: int, trade_id: int) -> bool:
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return self.database.delete_trade_entry(require_user_id(user_id), trade_id)
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@dataclass(frozen=True)
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class SQLiteStrategyTrackingRepository:
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database: ReviewDatabase
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def save_strategy_tracks(
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self, user_id: int, run_id: int, selection_date: str,
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strategy_name: str, candidates: list[dict[str, Any]],
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) -> int:
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return self.database.save_strategy_tracks(
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require_user_id(user_id), run_id, selection_date, strategy_name, candidates
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)
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def get_screener_run(self, user_id: int, run_id: int) -> dict[str, Any] | None:
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owner_id = int(user_id)
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if owner_id < 0:
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raise ValueError("Account owner cannot be negative")
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return self.database.get_screener_run(owner_id, run_id)
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def delete_strategy_track(self, user_id: int, track_id: int) -> bool:
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return self.database.delete_strategy_track(require_user_id(user_id), track_id)
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def list_strategy_tracks(
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self, user_id: int, limit_batches: int = 12,
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) -> list[dict[str, Any]]:
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return self.database.list_strategy_tracks(
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require_user_id(user_id), limit_batches
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)
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def load_tracking_bars(
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self, targets: list[tuple[str, str]], limit: int = 5,
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) -> dict[tuple[str, str], list[dict[str, Any]]]:
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return self.database.load_tracking_bars(targets, limit)
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@dataclass(frozen=True)
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class RepositoryBundle:
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alerts: SQLiteAlertRepository
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trades: SQLiteTradeJournalRepository
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strategy_tracking: SQLiteStrategyTrackingRepository
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def build_repository_bundle(database: ReviewDatabase) -> RepositoryBundle:
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return RepositoryBundle(
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alerts=SQLiteAlertRepository(database),
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trades=SQLiteTradeJournalRepository(database),
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strategy_tracking=SQLiteStrategyTrackingRepository(database),
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)
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