yuxuanhui
55 lines
2.2 KiB
Python
55 lines
2.2 KiB
Python
"""Deterministic model for isolated acceptance; never calls a provider or platform."""
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import asyncio
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import json
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from contextlib import asynccontextmanager
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from uuid import uuid4
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from pydantic_ai.messages import ToolReturnPart, UserPromptPart
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from pydantic_ai.models.function import DeltaToolCall, FunctionModel
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async def fake_stream(messages, info):
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latest = max(
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(i for i, m in enumerate(messages) if any(isinstance(p, UserPromptPart) for p in m.parts)), default=0
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)
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text = " ".join(
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str(p.content) for m in messages[latest:] for p in m.parts if isinstance(p, UserPromptPart)
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)
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returns = [p for m in messages[latest:] for p in m.parts if isinstance(p, ToolReturnPart)]
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if returns and "LOOP" not in text:
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if returns[-1].tool_name == "capability_probe":
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yield str(returns[-1].content)
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else:
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yield "操作结果已返回。"
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yield "请查看下方业务记录与数据来源。"
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return
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if any(t.name == "capability_probe" for t in info.function_tools):
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name, args = "capability_probe", {}
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elif "READY" in text:
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yield "REA"
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yield "DY"
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return
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elif "SLOW" in text:
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yield "正在查询"
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await asyncio.sleep(2)
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yield "，查询完成。"
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return
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elif "批量" in text:
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name, args = "bulk_update_research", {"alpha_ids": ["a0000", "a0001"], "add_tags": ["AI"]}
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elif "修改" in text or "update" in text:
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alpha_id = "TEST0001" if "TEST0001" in text else "a0000"
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name, args = "update_research", {"alpha_id": alpha_id, "changes": {"note": "AI 测试研究记录"}}
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elif "同步" in text:
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name, args = "create_sync_job", {"kind": "full_sync"}
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elif "PnL" in text:
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name, args = "get_alpha_pnl", {"alpha_id": "TEST0001" if "TEST" in text else "a0000"}
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else:
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name, args = "search_alphas", {"filters": {"turnover_max": 0.15, "limit": 5}}
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yield {0: DeltaToolCall(name=name, json_args=json.dumps(args), tool_call_id=uuid4().hex)}
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@asynccontextmanager
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async def fake_model(config, settings):
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yield FunctionModel(stream_function=fake_stream, model_name="test-model")
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