Files
NotesAgentic/backend/tests/test_provider_adapters.py
T
admin 1741f7b1aa 添加provider工厂和Ollama支持
- 实现ProviderFactory用于构建不同类型的provider适配器
- 添加EnvironmentCredentialResolver用于解析环境变量中的凭证
- 实现OllamaProvider支持本地模型调用
- 实现OpenAICompatibleProvider支持OpenAI兼容接口
- 在AgentRuntime中添加对ProviderError的处理
- 更新Message结构体添加tool_calls字段
- 实现provider配置的增删改查API端点
- 添加provider注册表的replace方法
- 添加HTTP基础类和工具参数解码功能
- 更新依赖添加httpx库
- 添加相关单元测试验证provider适配器功能
```
2026-08-27 14:16:57 +08:00

155 lines
4.9 KiB
Python

import asyncio
import json
import httpx
from app.contracts import Message, MessageRole, ModelRequest, ToolCall, ToolDefinition
from app.providers.ollama import OllamaProvider
from app.providers.openai_compatible import OpenAICompatibleProvider
class StaticCredentials:
def resolve(self, credential_id: str | None) -> str | None:
return "secret-test-key" if credential_id else None
def run(coroutine):
return asyncio.run(coroutine)
def test_openai_compatible_maps_tool_call_and_credentials() -> None:
captured: dict = {}
def handler(request: httpx.Request) -> httpx.Response:
assert request.headers["Authorization"] == "Bearer secret-test-key"
captured.update(json.loads(request.content))
return httpx.Response(
200,
json={
"choices": [
{
"message": {
"role": "assistant",
"content": None,
"tool_calls": [
{
"id": "call_1",
"type": "function",
"function": {
"name": "math.add",
"arguments": '{"left":1,"right":2}',
},
}
],
}
}
],
"usage": {"prompt_tokens": 8, "completion_tokens": 4},
},
)
provider = OpenAICompatibleProvider(
base_url="https://provider.test/v1",
credential_id="openai-test",
credentials=StaticCredentials(),
transport=httpx.MockTransport(handler),
)
turn = run(
provider.complete(
ModelRequest(
provider_id="test",
model="test-model",
messages=[Message(role=MessageRole.user, content="add")],
tools=[
ToolDefinition(
name="math.add",
description="Add numbers",
parameters={"type": "object"},
)
],
)
)
)
assert captured["tools"][0]["function"]["name"] == "math.add"
assert turn.tool_calls[0].name == "math.add"
assert turn.tool_calls[0].arguments == {"left": 1, "right": 2}
assert turn.input_tokens == 8
def test_openai_compatible_preserves_tool_call_context() -> None:
captured: dict = {}
def handler(request: httpx.Request) -> httpx.Response:
captured.update(json.loads(request.content))
return httpx.Response(
200,
json={
"choices": [{"message": {"role": "assistant", "content": "done"}}],
"usage": {},
},
)
provider = OpenAICompatibleProvider(
base_url="https://provider.test/v1",
credential_id=None,
credentials=StaticCredentials(),
transport=httpx.MockTransport(handler),
)
call = ToolCall(
tool_call_id="call_1", name="math.add", arguments={"left": 1, "right": 2}
)
turn = run(
provider.complete(
ModelRequest(
provider_id="test",
model="test-model",
messages=[
Message(role=MessageRole.user, content="add"),
Message(role=MessageRole.assistant, content="", tool_calls=[call]),
Message(
role=MessageRole.tool,
content='{"value":3}',
name="math.add",
tool_call_id="call_1",
),
],
)
)
)
assert captured["messages"][1]["tool_calls"][0]["id"] == "call_1"
assert captured["messages"][2]["tool_call_id"] == "call_1"
assert turn.text == "done"
def test_ollama_maps_models_and_completion() -> None:
def handler(request: httpx.Request) -> httpx.Response:
if request.url.path == "/api/tags":
return httpx.Response(200, json={"models": [{"name": "qwen3:latest"}]})
return httpx.Response(
200,
json={
"message": {"role": "assistant", "content": "local answer"},
"prompt_eval_count": 5,
"eval_count": 2,
},
)
provider = OllamaProvider(transport=httpx.MockTransport(handler))
models = run(provider.list_models())
turn = run(
provider.complete(
ModelRequest(
provider_id="ollama",
model="qwen3:latest",
messages=[Message(role=MessageRole.user, content="hello")],
)
)
)
assert models[0].model == "qwen3:latest"
assert turn.text == "local answer"
assert turn.input_tokens == 5
assert turn.output_tokens == 2