Files
tick-stock-panel/backend/tests/test_strategy_build_stream.py
kevin9327andClaude Opus 5 ddb28fa02a fix(strategy): 策略生成流的心跳行补换行, 不再吞掉首个 delta 与 result 事件
5473908 给 5 个 NDJSON 流式端点接入 with_heartbeat。复盘/个股/财务/轮动
四处的事件行不带换行, 由外层 stream_gen 统一补 "\n"; 策略生成
/api/strategies/build/stream 的 event_generator 事件行自带 "\n", 直接交给
with_heartbeat, 而心跳插入的 {"type": "ping"} 不带换行, 于是 ping 与下一个
事件粘成一行, 如 {"type": "ping"}{"type": "result", ...}。

前端 strategyBuildStream 按 "\n" 切行后 JSON.parse, 解析失败静默跳过:
LLM 首包前空闲超过 15 秒时首个 delta 丢失; 结构修复 (repair_code) 超过
15 秒时 result 丢失, 界面报「AI 未返回策略结果」。

对齐另外四个端点的口径: 事件行去掉换行, 外层 stream_gen 统一补换行。

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-16 19:21:00 +09:00

189 lines
5.9 KiB
Python

from __future__ import annotations
import asyncio
import functools
import json
import pytest
from app.api import strategy as strategy_api
from app.api.strategy import BuildRequest, build_strategy_stream
from app.services.ndjson_heartbeat import with_heartbeat
from app.strategy.ai_generator import AIStrategyGenerator
STREAM_CODE = '''"""测试策略"""
import polars as pl
META = {
"id": "wrong",
"name": "旧名",
"description": "旧描述",
"tags": ["测试"],
"params": [],
"scoring": {},
}
ENTRY_SIGNALS = []
EXIT_SIGNALS = []
STOP_LOSS = -0.05
MAX_HOLD_DAYS = 20
RULES = """
1. 测试规则一
2. 测试规则二
3. 测试规则三
"""
def filter(df: pl.DataFrame, params: dict) -> pl.Expr:
return pl.lit(True)
'''
@pytest.mark.asyncio
async def test_build_strategy_stream_yields_delta_and_normalized_result(monkeypatch):
async def fake_stream(self, prompt):
yield STREAM_CODE[:40]
yield STREAM_CODE[40:]
monkeypatch.setattr(AIStrategyGenerator, "stream", fake_stream)
req = BuildRequest(
step=1,
name="新策略",
description="新描述",
direction="long",
rules="1. 规则一\n2. 规则二\n3. 规则三",
strategy_id="ai_streamed",
)
response = await build_strategy_stream(req, None)
body = b""
async for chunk in response.body_iterator:
body += chunk.encode("utf-8") if isinstance(chunk, str) else chunk
events = [json.loads(line) for line in body.decode("utf-8").splitlines()]
assert [event["type"] for event in events] == ["meta", "delta", "delta", "result"]
result = events[-1]
assert result["valid"] is True
assert result["meta"]["id"] == "ai_streamed"
assert result["meta"]["name"] == "新策略"
assert '"id": "ai_streamed"' in result["code"]
@pytest.mark.asyncio
async def test_build_strategy_stream_repairs_missing_meta_once(monkeypatch):
calls = 0
async def fake_stream(self, prompt):
yield "import polars as pl\n\ndef filter(df, params):\n return pl.lit(True)\n"
async def fake_repair(self, code, error):
nonlocal calls
calls += 1
return self.validate_code(STREAM_CODE)
monkeypatch.setattr(AIStrategyGenerator, "stream", fake_stream)
monkeypatch.setattr(AIStrategyGenerator, "repair_code", fake_repair)
req = BuildRequest(
step=1,
name="修复后策略",
description="修复后描述",
direction="long",
rules="1. 测试规则",
strategy_id="ai_repaired",
)
response = await build_strategy_stream(req, None)
body = b""
async for chunk in response.body_iterator:
body += chunk.encode("utf-8") if isinstance(chunk, str) else chunk
result = json.loads(body.decode("utf-8").splitlines()[-1])
assert calls == 1
assert result["type"] == "result"
assert result["valid"] is True
assert result["meta"]["id"] == "ai_repaired"
assert result["meta"]["name"] == "修复后策略"
async def _read_body(response) -> str:
body = b""
async for chunk in response.body_iterator:
body += chunk.encode("utf-8") if isinstance(chunk, str) else chunk
return body.decode("utf-8")
def _parse_like_frontend(text: str) -> tuple[list[dict], list[str]]:
"""与前端 api.strategyBuildStream 同口径: 按换行切行, JSON 解析失败的行被静默跳过。"""
events: list[dict] = []
dropped: list[str] = []
for line in text.split("\n"):
s = line.strip()
if not s:
continue
try:
events.append(json.loads(s))
except json.JSONDecodeError:
dropped.append(s)
return events, dropped
@pytest.mark.asyncio
async def test_build_strategy_stream_heartbeat_does_not_swallow_events(monkeypatch):
"""LLM 首包前与结构修复期间空闲超过心跳间隔: ping 必须独占一行, 不能把 delta/result 粘掉。"""
async def slow_stream(self, prompt):
await asyncio.sleep(0.2) # 推理模型思考期, 流上无字节
yield "import polars as pl\n\ndef filter(df, params):\n return pl.lit(True)\n"
async def slow_repair(self, code, error):
await asyncio.sleep(0.2) # 修复是一次非流式 LLM 调用
return self.validate_code(STREAM_CODE)
monkeypatch.setattr(AIStrategyGenerator, "stream", slow_stream)
monkeypatch.setattr(AIStrategyGenerator, "repair_code", slow_repair)
monkeypatch.setattr(strategy_api, "with_heartbeat", functools.partial(with_heartbeat, interval=0.05))
req = BuildRequest(
step=1,
name="心跳策略",
description="心跳描述",
direction="long",
rules="1. 测试规则",
strategy_id="ai_heartbeat",
)
text = await _read_body(await build_strategy_stream(req, None))
events, dropped = _parse_like_frontend(text)
types = [event["type"] for event in events]
assert [t for t in types if t != "ping"] == ["meta", "delta", "result"]
assert "ping" in types
assert dropped == []
assert events[-1]["valid"] is True
assert events[-1]["meta"]["id"] == "ai_heartbeat"
@pytest.mark.asyncio
@pytest.mark.parametrize(
("exc", "message"),
[
(RuntimeError("AI API Key 未配置"), "AI API Key 未配置"),
(ValueError("boom"), "AI生成失败: boom"),
],
)
async def test_build_strategy_stream_error_event_is_own_line(monkeypatch, exc, message):
async def failing_stream(self, prompt):
raise exc
yield # pragma: no cover - 使其成为异步生成器
monkeypatch.setattr(AIStrategyGenerator, "stream", failing_stream)
req = BuildRequest(step=2, current_code="x = 1", instruction="改一下", strategy_id="")
text = await _read_body(await build_strategy_stream(req, None))
events, dropped = _parse_like_frontend(text)
assert dropped == []
assert [event["type"] for event in events] == ["meta", "error"]
assert events[-1]["message"] == message
assert text.endswith("\n")