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52 lines
1.9 KiB
Python
52 lines
1.9 KiB
Python
from __future__ import annotations
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import httpx
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import openai
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from app.services.ai_provider import _format_openai_error, normalize_openai_base_url
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def test_normalize_openai_base_url_adds_v1_for_root_gateway():
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assert normalize_openai_base_url("http://ai.zedbox.cn:8080") == "http://ai.zedbox.cn:8080/v1"
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def test_normalize_openai_base_url_preserves_v1_base():
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assert normalize_openai_base_url("http://ai.zedbox.cn:8080/v1") == "http://ai.zedbox.cn:8080/v1"
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def test_normalize_openai_base_url_strips_chat_completions_path():
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assert normalize_openai_base_url("http://ai.zedbox.cn:8080/v1/chat/completions") == "http://ai.zedbox.cn:8080/v1"
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def test_format_openai_error_hides_html_gateway_body():
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response = httpx.Response(
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504,
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headers={"content-type": "text/html; charset=utf-8"},
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text="<!DOCTYPE html><html><body><h1>Gateway Timeout</h1></body></html>",
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request=httpx.Request("POST", "https://example.com/v1/chat/completions"),
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)
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exc = openai.InternalServerError("gateway timeout", response=response, body=response.text)
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message = _format_openai_error(exc)
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assert message == "AI 服务请求失败(504): AI 上游服务超时, 请稍后重试或检查 AI Base URL / 网络"
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assert "html" not in message.lower()
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assert "Gateway Timeout" not in message
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def test_format_openai_error_uses_status_message_when_available():
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response = httpx.Response(
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400,
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json={"error": {"message": "model context length exceeded"}},
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request=httpx.Request("POST", "https://example.com/v1/chat/completions"),
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)
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exc = openai.BadRequestError(
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"bad request",
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response=response,
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body={"error": {"message": "model context length exceeded"}},
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)
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message = _format_openai_error(exc)
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assert message == "AI 服务请求失败(400): 请求参数无效, 请检查模型名称和上下文长度"
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