AgentEvalTool/backend/agenteval/storage/db.py
sinohqb 12481cd1b8 v0.3-s1: 规则层异步化 + 工具函数去重 + HTTP 通道
## 核心变更

### 规则层全面异步化(DEBT-1)
- EvalRule.evaluate() 签名改为 async def,全量同步改造(无兼容层)
- LlmScoreRule._call_llm: requests.post → httpx.AsyncClient,彻底消除事件循环阻塞
- engine._save_rule_results: rule.evaluate() → await rule.evaluate()

### 工具函数去重(DEBT-2)
- 新建 agenteval/utils/llm.py,统一三个函数:
  - extract_reply_text (原 5 处重复)
  - extract_content_from_llm_response (原 2 处重复)
  - parse_json_from_llm_text (统一 LLM 输出 JSON 解析)
- engine.py / llm_score.py / runs.py / report.py 全部切换到 utils.llm

### HTTP 通用通道(S1-3)
- 新建 channels/http.py (HttpChannel)
  - 配置化 send_url / reply_url 模板 ({message}, {msg_id} 占位)
  - dot-path 提取 msg_id 和 reply_text
  - 可选 reply_ready_path 就绪标志
  - 长连接 AsyncClient 复用
- ChannelFactory 注册 ChannelType.HTTP → HttpChannel

### 测试
- 新增 tests/unit/test_http_channel_and_rules.py (19 个测试)
- _get_path / health_check / send / poll_reply / 超时 / 就绪标志 / async 规则评估
- 测试总数:24 → 43,全部通过

Co-Authored-By: Claude <noreply@anthropic.com>
2026-07-17 10:52:32 +08:00

241 lines
7.5 KiB
Python

"""Database models and session management using SQLModel."""
import json
import uuid
from datetime import datetime, timezone
from pathlib import Path
from typing import Any, Optional
from sqlalchemy.pool import StaticPool
from sqlmodel import Field, Relationship, Session, SQLModel, create_engine
DATA_DIR = Path(__file__).resolve().parent.parent.parent.parent / "data"
DATA_DIR.mkdir(parents=True, exist_ok=True)
DATABASE_URL = f"sqlite:///{DATA_DIR / 'agenteval.db'}"
FILES_DIR = DATA_DIR / "files"
FILES_DIR.mkdir(parents=True, exist_ok=True)
engine = create_engine(
DATABASE_URL,
echo=False,
connect_args={"check_same_thread": False},
poolclass=StaticPool,
)
def utc_now() -> datetime:
return datetime.now(timezone.utc)
def new_uuid() -> str:
return str(uuid.uuid4())
class EvalTargetDB(SQLModel, table=True):
"""Database table for evaluation targets."""
__tablename__ = "eval_targets"
id: Optional[str] = Field(default_factory=new_uuid, primary_key=True)
name: str
description: str = ""
platform: str = "ai_digital_employee"
channel_type: str = "tutu-api"
channel_config: str = "{}"
status: str = "active"
created_at: Optional[datetime] = Field(default_factory=utc_now)
updated_at: Optional[datetime] = Field(default_factory=utc_now)
runs: list["EvalRunDB"] = Relationship(
back_populates="target",
sa_relationship_kwargs={"cascade": "all, delete-orphan"},
)
def get_config(self) -> dict[str, Any]:
return json.loads(self.channel_config)
def set_config(self, config: dict[str, Any]) -> None:
self.channel_config = json.dumps(config, ensure_ascii=False)
class ScenarioDB(SQLModel, table=True):
"""Database table for evaluation scenarios."""
__tablename__ = "scenarios"
id: Optional[str] = Field(default_factory=new_uuid, primary_key=True)
name: str
description: str = ""
tags: str = "[]"
cases: str = "[]"
llm_config: Optional[str] = None
created_at: Optional[datetime] = Field(default_factory=utc_now)
updated_at: Optional[datetime] = Field(default_factory=utc_now)
runs: list["EvalRunDB"] = Relationship(
back_populates="scenario",
sa_relationship_kwargs={"cascade": "all, delete-orphan"},
)
def get_tags(self) -> list[str]:
return json.loads(self.tags)
def set_tags(self, tags: list[str]) -> None:
self.tags = json.dumps(tags, ensure_ascii=False)
def get_cases(self) -> list[dict[str, Any]]:
return json.loads(self.cases)
def set_cases(self, cases: list[dict[str, Any]]) -> None:
self.cases = json.dumps(cases, ensure_ascii=False)
def get_llm_config(self) -> Optional[dict[str, Any]]:
return json.loads(self.llm_config) if self.llm_config else None
def set_llm_config(self, config: Optional[dict[str, Any]]) -> None:
self.llm_config = json.dumps(config, ensure_ascii=False) if config else None
class EvalRunDB(SQLModel, table=True):
"""Database table for evaluation runs."""
__tablename__ = "eval_runs"
id: Optional[str] = Field(default_factory=new_uuid, primary_key=True)
target_id: Optional[str] = Field(default=None, foreign_key="eval_targets.id")
scenario_id: Optional[str] = Field(default=None, foreign_key="scenarios.id")
status: str = "pending"
started_at: Optional[datetime] = Field(default_factory=utc_now)
completed_at: Optional[datetime] = None
summary: Optional[str] = None
target: Optional[EvalTargetDB] = Relationship(back_populates="runs")
scenario: Optional[ScenarioDB] = Relationship(back_populates="runs")
turns: list["TurnDB"] = Relationship(
back_populates="run",
sa_relationship_kwargs={"cascade": "all, delete-orphan"},
)
results: list["EvalResultDB"] = Relationship(
back_populates="run",
sa_relationship_kwargs={"cascade": "all, delete-orphan"},
)
def get_summary(self) -> Optional[dict[str, Any]]:
return json.loads(self.summary) if self.summary else None
def set_summary(self, summary: dict[str, Any]) -> None:
self.summary = json.dumps(summary, ensure_ascii=False)
class TurnDB(SQLModel, table=True):
"""Database table for conversation turns."""
__tablename__ = "turns"
id: Optional[str] = Field(default_factory=new_uuid, primary_key=True)
run_id: Optional[str] = Field(default=None, foreign_key="eval_runs.id")
case_id: str
round_index: int
sent_message: str = "{}"
sent_at: Optional[datetime] = Field(default_factory=utc_now)
question_msg_id: Optional[str] = None
reply: Optional[str] = None
received_at: Optional[datetime] = None
latency_ms: Optional[int] = None
run: Optional[EvalRunDB] = Relationship(back_populates="turns")
def get_sent_message(self) -> dict[str, Any]:
return json.loads(self.sent_message)
def set_sent_message(self, message: dict[str, Any]) -> None:
self.sent_message = json.dumps(message, ensure_ascii=False)
def get_reply(self) -> Optional[dict[str, Any]]:
return json.loads(self.reply) if self.reply else None
def set_reply(self, reply: Optional[dict[str, Any]]) -> None:
self.reply = json.dumps(reply, ensure_ascii=False) if reply else None
class EvalResultDB(SQLModel, table=True):
"""Database table for evaluation results."""
__tablename__ = "eval_results"
id: Optional[str] = Field(default_factory=new_uuid, primary_key=True)
run_id: Optional[str] = Field(default=None, foreign_key="eval_runs.id")
case_id: str
turn_id: str
rule_type: str
passed: bool
score: Optional[float] = None
reason: str = ""
run: Optional[EvalRunDB] = Relationship(back_populates="results")
class FileCategoryDB(SQLModel, table=True):
"""Database table for file categories (tree structure via parent_id)."""
__tablename__ = "file_categories"
id: Optional[str] = Field(default_factory=new_uuid, primary_key=True)
name: str
parent_id: Optional[str] = Field(
default=None,
foreign_key="file_categories.id",
)
created_at: Optional[datetime] = Field(default_factory=utc_now)
updated_at: Optional[datetime] = Field(default_factory=utc_now)
parent: Optional["FileCategoryDB"] = Relationship(
back_populates="children",
sa_relationship_kwargs={"remote_side": "FileCategoryDB.id"},
)
children: list["FileCategoryDB"] = Relationship(
back_populates="parent",
sa_relationship_kwargs={"cascade": "all, delete-orphan"},
)
files: list["FileRecordDB"] = Relationship(
back_populates="category",
sa_relationship_kwargs={"cascade": "all, delete-orphan"},
)
class FileRecordDB(SQLModel, table=True):
"""Database table for uploaded file records."""
__tablename__ = "file_records"
id: Optional[str] = Field(default_factory=new_uuid, primary_key=True)
original_name: str
storage_name: str
category_id: Optional[str] = Field(
default=None,
foreign_key="file_categories.id",
)
file_size: int = 0
mime_type: str = ""
file_ext: str = ""
created_at: Optional[datetime] = Field(default_factory=utc_now)
category: Optional[FileCategoryDB] = Relationship(back_populates="files")
def init_db() -> None:
SQLModel.metadata.create_all(engine)
def get_session() -> Session:
return Session(engine)
def get_session_context():
"""Context manager that creates and properly closes a database session."""
session = Session(engine)
try:
yield session
finally:
session.close()