新增功能
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# -*- coding: utf-8 -*-
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"""Routing tests for the local Grok Build customer-service provider."""
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from __future__ import annotations
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import unittest
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from unittest import mock
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import ai_chat
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import ai_config
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from grok_customer_agent import GrokCustomerAgentError
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class GrokCustomerProviderRoutingTest(unittest.TestCase):
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def test_stable_wecom_session_is_forwarded_to_local_agent(self) -> None:
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session_id = "00112233445566778899aabbccddeeff"
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with (
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mock.patch.object(
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ai_config,
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"GROK_CUSTOMER_SERVICE_ENABLED",
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True,
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create=True,
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),
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mock.patch(
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"grok_customer_agent.generate_customer_reply",
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return_value="收到,请问有什么可以帮您?",
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) as generate,
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):
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result = ai_chat.call_ai_text(
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"客户最新消息",
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history=[
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{"role": "user", "content": "本地历史由工具读取"},
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],
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session_id=session_id,
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)
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self.assertEqual("收到,请问有什么可以帮您?", result)
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generate.assert_called_once_with(
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"客户最新消息",
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session_id=session_id,
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)
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def test_ad_hoc_draft_gets_an_isolated_valid_scope(self) -> None:
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with (
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mock.patch.object(
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ai_config,
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"GROK_CUSTOMER_SERVICE_ENABLED",
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True,
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create=True,
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),
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mock.patch(
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"grok_customer_agent.generate_customer_reply",
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return_value="草稿",
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) as generate,
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):
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ai_chat.call_ai_text("临时草稿")
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generated_session = generate.call_args.kwargs["session_id"]
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self.assertRegex(generated_session, r"^[0-9a-f]{32}$")
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def test_disabled_agent_never_falls_back_to_http_model(self) -> None:
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with (
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mock.patch.object(
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ai_config,
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"GROK_CUSTOMER_SERVICE_ENABLED",
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False,
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create=True,
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),
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mock.patch(
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"grok_customer_agent.generate_customer_reply",
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) as generate,
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mock.patch.object(ai_chat.requests, "post") as post,
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self.assertRaisesRegex(RuntimeError, "已关闭"),
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):
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ai_chat.call_ai_text(
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"客户消息",
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session_id="0" * 32,
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)
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generate.assert_not_called()
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post.assert_not_called()
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def test_unfinished_agent_reply_is_not_returned_by_unified_entry(self) -> None:
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with (
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mock.patch.object(
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ai_config,
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"GROK_CUSTOMER_SERVICE_ENABLED",
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True,
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create=True,
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),
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mock.patch.object(ai_config, "AI_USE_VISION", False),
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mock.patch(
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"grok_customer_agent.generate_customer_reply",
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side_effect=GrokCustomerAgentError("未完整结束"),
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),
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):
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result = ai_chat.get_ai_reply(
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chat_text="客户消息",
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session_id="0" * 32,
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)
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self.assertEqual("", result)
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if __name__ == "__main__":
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unittest.main()
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