Vanzeren e01173d8b2
bench(checkpoint): production-shaped full/delta benchmark with configurable snapshot frequency (#4467)
* feat(checkpoint): production-shaped full/delta benchmark with configurable snapshot frequency

- Group benchmark scripts into per-family folders (checkpoint/, sandbox/)
- Extract shared benchmark infrastructure into checkpoint_bench_common.py
- Add checkpoint_delta_snapshot_frequency config (default 1000, process-frozen);
  freeze it in make_lead_agent and DeerFlowClient; key the state-schema
  adaptation cache by resolved frequency
- New bench_production.py: per-case child processes run N ainvoke turns through
  the real lead-agent graph (scripted deterministic model, real AsyncSqliteSaver),
  then measure GET /state + POST /history through the real Gateway route stack
  in one event loop (httpx ASGITransport), cold/warm accessor-cache split,
  cross-mode digest gates
- New summarize_production.py: delta/full ratios plus decision metrics
  (snapshot_write_spike, cache_effect_ms, checkpoint_write_share,
  auto-discovered history per-limit ratios)

* fix(checkpoint): address production benchmark review
2026-07-27 11:47:49 +08:00

162 lines
6.5 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.
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
CheckpointChannelMode = Literal["full", "delta"]
class DatabaseConfig(BaseModel):
backend: Literal["memory", "sqlite", "postgres"] = Field(
default="memory",
description=("Storage backend for both checkpointer and application data. 'memory' for development (no persistence across restarts), 'sqlite' for single-node deployment, 'postgres' for production multi-node deployment."),
)
checkpoint_channel_mode: CheckpointChannelMode = Field(
default="full",
description=(
"Checkpoint representation for accumulating channels. "
"'full' preserves full-value message checkpoints; 'delta' uses "
"LangGraph DeltaChannel for messages. Restart is required, and all "
"processes sharing one checkpoint database must use the same value."
),
)
checkpoint_delta_snapshot_frequency: int = Field(
default=1000,
ge=1,
description=(
"DeltaChannel snapshot frequency used in checkpoint 'delta' mode: "
"every N message-channel writes the saver stores a full snapshot "
"instead of a delta sentinel. Restart-required, and all processes "
"sharing one checkpoint database must use the same value."
),
)
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)."
),
)
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 only).",
)
pool_recycle: int = Field(
default=300,
gt=0,
description="Seconds before app ORM PostgreSQL connections are recycled.",
)
command_timeout: float | None = Field(
default=30,
gt=0,
description="Timeout in seconds for app ORM PostgreSQL commands. Set to null to disable the command timeout.",
)
# -- 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)
elif url.startswith("postgres://"):
# libpq's short alias: accepted by the psycopg checkpointer, but not a SQLAlchemy dialect.
url = url.replace("postgres://", "postgresql+asyncpg://", 1)
return url
raise ValueError(f"No SQLAlchemy URL for backend={self.backend!r}")
@property
def app_sync_sqlalchemy_url(self) -> str:
"""SQLAlchemy *synchronous* URL for the application ORM data.
Used by the ``agent_storage.backend: db`` store, whose consumers (the
LangGraph graph factory, the setup/update tools) are synchronous and may
run on the event loop or in a separate process from the gateway, where an
async engine cannot be driven. Points at the same database file/server as
:meth:`app_sqlalchemy_url`; only the driver differs (both drivers —
stdlib sqlite3 and psycopg — ship with the app, so this adds no
dependency).
"""
if self.backend == "sqlite":
return f"sqlite:///{self.sqlite_path}"
if self.backend == "postgres":
url = self.postgres_url
if url.startswith("postgresql+asyncpg://"):
url = url.replace("postgresql+asyncpg://", "postgresql+psycopg://", 1)
elif url.startswith("postgresql://"):
url = url.replace("postgresql://", "postgresql+psycopg://", 1)
elif url.startswith("postgres://"):
url = url.replace("postgres://", "postgresql+psycopg://", 1)
return url
raise ValueError(f"No SQLAlchemy URL for backend={self.backend!r}")