mirror of
https://github.com/jxxghp/MoviePilot.git
synced 2026-06-15 20:51:07 +08:00
135 lines
4.5 KiB
Python
135 lines
4.5 KiB
Python
import asyncio
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import base64
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import json
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from unittest.mock import patch
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from app.agent.tools.factory import MoviePilotToolFactory
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from app.agent.tools.impl.recognize_captcha import RecognizeCaptchaTool
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from app.agent.tools.manager import MoviePilotToolsManager
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from app.helper.ocr import OcrHelper
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class _FakeResponse:
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"""测试用响应对象，模拟 requests.Response 的最小行为。"""
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def __init__(self, content: bytes = b"", payload: dict = None):
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"""初始化响应内容与 JSON 载荷。"""
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self.content = content
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self.payload = payload or {}
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def json(self) -> dict:
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"""返回测试预设 JSON 内容。"""
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return self.payload
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def __bool__(self) -> bool:
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"""模拟 requests.Response 在成功状态下为真。"""
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return True
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def test_factory_registers_recognize_captcha_tool():
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"""工具工厂应注册图形验证码识别工具。"""
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with patch(
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"app.agent.tools.factory.PluginManager.get_plugin_agent_tools",
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return_value=[],
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):
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tools = MoviePilotToolFactory.create_tools(
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session_id="captcha-session",
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user_id="10001",
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)
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tool_names = {tool.name for tool in tools}
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assert "recognize_captcha" in tool_names
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def test_mcp_tool_manager_exposes_recognize_captcha_schema():
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"""MCP 工具管理器应暴露验证码识别工具参数。"""
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tool = RecognizeCaptchaTool(session_id="captcha-session", user_id="10001")
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with patch(
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"app.agent.tools.manager.MoviePilotToolFactory.create_tools",
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return_value=[tool],
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):
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manager = MoviePilotToolsManager(is_admin=True)
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tool_definitions = manager.list_tools()
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schema = tool_definitions[0].input_schema
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assert [item.name for item in tool_definitions] == ["recognize_captcha"]
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assert "image_url" in schema["required"]
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assert "cookie" in schema["properties"]
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assert "user_agent" in schema["properties"]
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assert "allow_private_network" in schema["properties"]
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def test_ocr_helper_extracts_data_url_base64_without_downloading_image():
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"""data:image 地址应直接提取 base64 内容并提交给 OCR 服务。"""
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image_b64 = base64.b64encode(b"captcha-image").decode()
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image_url = f"data:image/png;base64,{image_b64}"
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with patch("app.helper.ocr.RequestUtils") as request_utils:
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request_utils.return_value.post_res.return_value = _FakeResponse(
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payload={"result": "a8k2"}
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)
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result = OcrHelper().get_captcha_text(image_url=image_url)
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assert result == "a8k2"
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request_utils.return_value.get_res.assert_not_called()
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request_utils.return_value.post_res.assert_called_once()
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assert request_utils.return_value.post_res.call_args.kwargs["json"] == {
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"base64_img": image_b64
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}
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def test_recognize_captcha_tool_returns_captcha_text_from_ocr_helper():
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"""验证码工具应返回结构化识别结果，便于 Agent 继续填写表单。"""
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tool = RecognizeCaptchaTool(session_id="captcha-session", user_id="10001")
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async def _run_tool():
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"""执行一次带 mock OCR 的工具调用。"""
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with patch(
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"app.agent.tools.impl.recognize_captcha.OcrHelper.get_captcha_text",
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return_value="x7p9",
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) as recognize_mock:
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result = await tool.run(
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image_url="https://example.com/captcha.png",
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cookie="sid=abc",
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user_agent="MoviePilotTest/1.0",
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)
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return result, recognize_mock
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result, recognize_mock = asyncio.run(_run_tool())
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payload = json.loads(result)
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assert payload == {
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"success": True,
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"captcha_text": "x7p9",
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"message": "验证码识别成功",
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}
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recognize_mock.assert_called_once_with(
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image_url="https://example.com/captcha.png",
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cookie="sid=abc",
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ua="MoviePilotTest/1.0",
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)
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def test_recognize_captcha_tool_blocks_private_network_by_default():
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"""验证码工具默认应拒绝本机和私网图片地址。"""
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tool = RecognizeCaptchaTool(session_id="captcha-session", user_id="10001")
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with patch(
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"app.agent.tools.impl.recognize_captcha.OcrHelper.get_captcha_text",
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return_value="x7p9",
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) as recognize_mock:
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result = asyncio.run(
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tool.run(image_url="http://127.0.0.1/captcha.png")
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)
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payload = json.loads(result)
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assert payload["success"] is False
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assert payload["captcha_text"] == ""
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assert "默认不允许访问本机或私网地址" in payload["message"]
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recognize_mock.assert_not_called()
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