Files
deerflow-code/offline-backend-20260512/backend/packages/harness/deerflow/config/database_config.py
T
董宏凯andCursor 75963c9ad9 feat: 岗位会商命令幂等与圆桌后台作业租约调度
岗位会商写操作引入 command_id 幂等与版本锁,前端支持同键重试;圆桌后台作业改为 DB 租约 dispatcher、去重与草稿 outbox 补偿,并持久化 intent turns。

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-14 11:08:12 +08:00

149 lines
6.1 KiB
Python

"""Unified database backend configuration.
Controls BOTH the LangGraph checkpointer and the DeerFlow application
persistence layer (runs, threads metadata, users, etc.). The user
configures one backend; the system handles physical separation details.
SQLite mode: checkpointer and app share a single .db file
({sqlite_dir}/deerflow.db) with WAL journal mode enabled on every
connection. WAL allows concurrent readers and a single writer without
blocking, making a unified file safe for both workloads. Writers
that contend for the lock wait via the default 5-second sqlite3
busy timeout rather than failing immediately.
Postgres mode: both use the same database URL but maintain independent
connection pools with different lifecycles.
MySQL mode: application ORM data uses MySQL. LangGraph's checkpointer does
not have a built-in MySQL backend in this project, so deployments that choose
MySQL for business tables should configure the legacy ``checkpointer:``
section separately (usually sqlite) to preserve conversation checkpoints.
Memory mode: checkpointer uses MemorySaver, app uses in-memory stores.
No database is initialized.
Sensitive values (postgres_url) should use $VAR syntax in config.yaml
to reference environment variables from .env:
database:
backend: postgres
postgres_url: $DATABASE_URL
The $VAR resolution is handled by AppConfig.resolve_env_variables()
before this config is instantiated -- DatabaseConfig itself does not
need to do any environment variable processing.
"""
from __future__ import annotations
import os
from typing import Literal
from pydantic import BaseModel, Field
class DatabaseConfig(BaseModel):
backend: Literal["memory", "sqlite", "postgres", "mysql"] = Field(
default="memory",
description=("Storage backend for application data. 'memory' for development (no persistence across restarts), 'sqlite' for single-node deployment, 'postgres' for production multi-node deployment, 'mysql' for MySQL-backed business tables."),
)
sqlite_dir: str = Field(
default=".deer-flow/data",
description=("Directory for the SQLite database file. Both checkpointer and application data share {sqlite_dir}/deerflow.db."),
)
postgres_url: str = Field(
default="",
description=(
"PostgreSQL connection URL, shared by checkpointer and app. "
"Use $DATABASE_URL in config.yaml to reference .env. "
"Example: postgresql://user:pass@host:5432/deerflow "
"(the +asyncpg driver suffix is added automatically where needed)."
),
)
mysql_url: str = Field(
default="",
description=(
"MySQL connection URL for the application ORM. "
"Use $MYSQL_DATABASE_URL in config.yaml to reference .env. "
"Example: mysql+asyncmy://user:pass@host:3306/deerflow?charset=utf8mb4. "
"If mysql:// is provided, the +asyncmy driver suffix is added automatically."
),
)
echo_sql: bool = Field(
default=False,
description="Echo all SQL statements to log (debug only).",
)
pool_size: int = Field(
default=5,
description="Connection pool size for the app ORM engine (postgres/mysql only).",
)
max_overflow: int = Field(
default=10,
description=(
"Extra connections allowed beyond pool_size under load (postgres/mysql only). "
"The real connection ceiling is pool_size + max_overflow. SQLAlchemy default is 10."
),
)
pool_timeout: int = Field(
default=30,
description=(
"Seconds a caller waits for a free pooled connection before erroring (postgres/mysql only). "
"SQLAlchemy default is 30."
),
)
pool_recycle: int = Field(
default=1800,
description=(
"Recycle pooled connections after this many seconds (postgres/mysql only). "
"Prevents stale-connection errors when a firewall, pgbouncer, or MySQL "
"wait_timeout silently drops idle connections. pool_pre_ping catches most "
"cases, but pool_recycle is the belt-and-suspenders safety net. "
"Multi-worker sizing: each worker opens up to (pool_size + max_overflow) "
"connections; total across workers must stay below the DB's max_connections."
),
)
# -- Derived helpers (not user-configured) --
@property
def _resolved_sqlite_dir(self) -> str:
"""Resolve sqlite_dir to an absolute path (relative to CWD)."""
from pathlib import Path
return str(Path(self.sqlite_dir).resolve())
@property
def sqlite_path(self) -> str:
"""Unified SQLite file path shared by checkpointer and app."""
return os.path.join(self._resolved_sqlite_dir, "deerflow.db")
# Backward-compatible aliases
@property
def checkpointer_sqlite_path(self) -> str:
"""SQLite file path for the LangGraph checkpointer (alias for sqlite_path)."""
return self.sqlite_path
@property
def app_sqlite_path(self) -> str:
"""SQLite file path for application ORM data (alias for sqlite_path)."""
return self.sqlite_path
@property
def app_sqlalchemy_url(self) -> str:
"""SQLAlchemy async URL for the application ORM engine."""
if self.backend == "sqlite":
return f"sqlite+aiosqlite:///{self.sqlite_path}"
if self.backend == "postgres":
url = self.postgres_url
if url.startswith("postgresql://"):
url = url.replace("postgresql://", "postgresql+asyncpg://", 1)
return url
if self.backend == "mysql":
url = self.mysql_url
if not url:
raise ValueError("database.mysql_url is required for backend='mysql'")
if url.startswith("mysql://"):
url = url.replace("mysql://", "mysql+asyncmy://", 1)
return url
raise ValueError(f"No SQLAlchemy URL for backend={self.backend!r}")