feat: 抽取 scripts/core.py 公共模块，重构检测脚本
将 anthropic_detect.py 和 openai_detect.py 中的公共功能抽取到 core.py 模块，包括： - HTTP 请求（普通/流式）及重试逻辑 - SSL 上下文管理 - 测试用例/结果数据结构 (TestCase, TestResult) - 错误分类 (ErrorType) - 响应验证辅助函数 (validate_response_structure 等) - 测试执行框架 (run_test, run_test_suite) 两个检测脚本重构后更聚焦于各自 API 的测试用例定义。
This commit is contained in:
@@ -11,115 +11,157 @@
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"""
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import json
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import time
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import ssl
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import argparse
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import urllib.request
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import urllib.error
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TIMEOUT = 30
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from typing import Dict, List, Tuple, Any
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from core import (
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create_ssl_context,
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TestCase,
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run_test_suite,
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validate_response_structure,
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format_validation_errors
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)
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def create_ssl_context():
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ctx = ssl.create_default_context()
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ctx.check_hostname = False
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ctx.verify_mode = ssl.CERT_NONE
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return ctx
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def http_request(url, method="GET", headers=None, body=None, ssl_ctx=None):
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req = urllib.request.Request(url, method=method)
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if headers:
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for k, v in headers.items():
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req.add_header(k, v)
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if body is not None:
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if isinstance(body, str):
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req.data = body.encode("utf-8")
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else:
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req.data = json.dumps(body).encode("utf-8")
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start = time.time()
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try:
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resp = urllib.request.urlopen(req, timeout=TIMEOUT, context=ssl_ctx)
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elapsed = time.time() - start
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return resp.getcode(), resp.read().decode("utf-8"), elapsed
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except urllib.error.HTTPError as e:
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elapsed = time.time() - start
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return e.code, e.read().decode("utf-8"), elapsed
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except Exception as e:
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elapsed = time.time() - start
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return None, str(e), elapsed
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def http_stream_request(url, headers=None, body=None, ssl_ctx=None):
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req = urllib.request.Request(url, method="POST")
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if headers:
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for k, v in headers.items():
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req.add_header(k, v)
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if body is not None:
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req.data = json.dumps(body).encode("utf-8")
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start = time.time()
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try:
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resp = urllib.request.urlopen(req, timeout=TIMEOUT, context=ssl_ctx)
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status = resp.getcode()
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lines = []
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for raw_line in resp:
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line = raw_line.decode("utf-8").rstrip("\n\r")
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if line:
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lines.append(line)
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elapsed = time.time() - start
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return status, "\n".join(lines), elapsed
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except urllib.error.HTTPError as e:
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elapsed = time.time() - start
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return e.code, e.read().decode("utf-8"), elapsed
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except Exception as e:
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elapsed = time.time() - start
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return None, str(e), elapsed
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def format_json(text):
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try:
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parsed = json.loads(text)
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return json.dumps(parsed, ensure_ascii=False, indent=2)
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except (json.JSONDecodeError, TypeError):
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return text
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def build_headers(api_key):
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def build_headers(api_key: str) -> Dict[str, str]:
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"""构建 OpenAI API 请求头"""
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h = {"Content-Type": "application/json"}
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if api_key:
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h["Authorization"] = f"Bearer {api_key}"
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return h
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def run_test(index, total, desc, url, method, headers, body, stream, ssl_ctx):
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print(f"\n[{index}/{total}] {desc}")
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print(f">>> {method} {url}")
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if body is not None:
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if isinstance(body, str):
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print(body)
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# ==================== OpenAI 响应验证函数 ====================
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def validate_openai_models_list_response(response_text: str) -> Tuple[bool, List[str]]:
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"""验证 OpenAI Models List 响应
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根据API文档，响应应包含：
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- object: "list"
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- data: array of Model objects
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"""
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errors = []
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try:
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data = json.loads(response_text)
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except json.JSONDecodeError as e:
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return False, [f"响应不是有效的JSON: {e}"]
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# 检查必需字段
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if "object" not in data:
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errors.append("缺少必需字段: object")
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elif data["object"] != "list":
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errors.append(f"字段 'object' 值错误: 期望 'list', 实际 '{data['object']}'")
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if "data" not in data:
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errors.append("缺少必需字段: data")
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elif not isinstance(data["data"], list):
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errors.append(f"字段 'data' 类型错误: 期望 list, 实际 {type(data['data']).__name__}")
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else:
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# 验证每个 model 对象
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for i, model in enumerate(data["data"]):
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if not isinstance(model, dict):
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errors.append(f"data[{i}] 不是对象")
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continue
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# 检查 model 对象的必需字段
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model_required = ["id", "object", "created", "owned_by"]
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for field in model_required:
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if field not in model:
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errors.append(f"data[{i}] 缺少必需字段: {field}")
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# 检查 object 字段值
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if "object" in model and model["object"] != "model":
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errors.append(f"data[{i}].object 值错误: 期望 'model', 实际 '{model['object']}'")
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return len(errors) == 0, errors
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def validate_openai_model_retrieve_response(response_text: str) -> Tuple[bool, List[str]]:
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"""验证 OpenAI Model Retrieve 响应
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根据API文档，响应应包含：
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- id: string
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- object: "model"
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- created: number
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- owned_by: string
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"""
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required_fields = ["id", "object", "created", "owned_by"]
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field_types = {
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"id": str,
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"object": str,
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"created": (int, float),
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"owned_by": str
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}
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enum_values = {
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"object": ["model"]
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}
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return validate_response_structure(response_text, required_fields, field_types, enum_values)
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def validate_openai_chat_completion_response(response_text: str) -> Tuple[bool, List[str]]:
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"""验证 OpenAI Chat Completion 响应
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根据API文档，响应应包含：
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- id: string
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- object: "chat.completion"
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- created: number
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- model: string
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- choices: array
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- usage: object (可选)
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"""
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errors = []
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try:
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data = json.loads(response_text)
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except json.JSONDecodeError as e:
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return False, [f"响应不是有效的JSON: {e}"]
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# 检查必需字段
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required_fields = ["id", "object", "created", "model", "choices"]
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for field in required_fields:
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if field not in data:
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errors.append(f"缺少必需字段: {field}")
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# 检查 object 字段值
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if "object" in data and data["object"] != "chat.completion":
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errors.append(f"字段 'object' 值错误: 期望 'chat.completion', 实际 '{data['object']}'")
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# 检查 choices 数组
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if "choices" in data:
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if not isinstance(data["choices"], list):
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errors.append(f"字段 'choices' 类型错误: 期望 list, 实际 {type(data['choices']).__name__}")
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else:
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print(format_json(json.dumps(body, ensure_ascii=False)))
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for i, choice in enumerate(data["choices"]):
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if not isinstance(choice, dict):
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errors.append(f"choices[{i}] 不是对象")
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continue
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if stream:
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status, data, elapsed = http_stream_request(url, headers, body, ssl_ctx)
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else:
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status, data, elapsed = http_request(url, method, headers, body, ssl_ctx)
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# 检查 choice 对象的必需字段
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choice_required = ["index", "message", "finish_reason"]
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for field in choice_required:
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if field not in choice:
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errors.append(f"choices[{i}] 缺少必需字段: {field}")
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if status is not None:
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print(f"状态码: {status} | 耗时: {elapsed:.2f}s")
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else:
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print(f"请求失败 | 耗时: {elapsed:.2f}s")
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# 检查 message 对象
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if "message" in choice and isinstance(choice["message"], dict):
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msg = choice["message"]
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if "role" not in msg:
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errors.append(f"choices[{i}].message 缺少必需字段: role")
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elif msg["role"] != "assistant":
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errors.append(f"choices[{i}].message.role 值错误: 期望 'assistant', 实际 '{msg['role']}'")
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if stream and status and status < 300:
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# 流式响应按 SSE 行逐行输出
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for line in data.split("\n"):
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print(line)
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else:
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print(format_json(data))
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# 检查 usage 对象（可选）
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if "usage" in data and data["usage"] is not None:
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if not isinstance(data["usage"], dict):
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errors.append(f"字段 'usage' 类型错误: 期望 object, 实际 {type(data['usage']).__name__}")
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else:
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usage_required = ["prompt_tokens", "completion_tokens", "total_tokens"]
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for field in usage_required:
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if field not in data["usage"]:
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errors.append(f"usage 缺少必需字段: {field}")
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return status
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return len(errors) == 0, errors
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def main():
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@@ -154,57 +196,79 @@ def main():
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chat_url = f"{base_url}/chat/completions"
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# --- 收集用例: (描述, 方法, URL, 请求头, 请求体, 是否流式) ---
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cases = []
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# --- 收集测试用例 ---
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cases: List[TestCase] = []
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# ---- Models API ----
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cases.append((
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"获取模型列表 (GET /models)",
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"GET", f"{base_url}/models", headers, None, False
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cases.append(TestCase(
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desc="获取模型列表 (GET /models)",
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method="GET",
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url=f"{base_url}/models",
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headers=headers,
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validator=validate_openai_models_list_response
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))
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cases.append((
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"获取指定模型详情 (GET /models/{model})",
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"GET", f"{base_url}/models/{model}", headers, None, False
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cases.append(TestCase(
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desc="获取指定模型详情 (GET /models/{model})",
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method="GET",
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url=f"{base_url}/models/{model}",
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headers=headers,
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validator=validate_openai_model_retrieve_response
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))
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cases.append((
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"获取不存在的模型 (GET /models/nonexistent-model-xxx)",
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"GET", f"{base_url}/models/nonexistent-model-xxx", headers, None, False
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cases.append(TestCase(
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desc="获取不存在的模型 (GET /models/nonexistent-model-xxx)",
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method="GET",
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url=f"{base_url}/models/nonexistent-model-xxx",
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headers=headers
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))
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# ---- Chat Completions: 正面用例 ----
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cases.append((
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"基本对话（仅 user）",
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"POST", chat_url, headers, {
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cases.append(TestCase(
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desc="基本对话（仅 user）",
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method="POST",
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url=chat_url,
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headers=headers,
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body={
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"model": model,
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"messages": [{"role": "user", "content": "Hi"}],
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"max_tokens": 5
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}, False
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},
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validator=validate_openai_chat_completion_response
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))
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cases.append((
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"system + user 对话",
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"POST", chat_url, headers, {
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cases.append(TestCase(
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desc="system + user 对话",
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method="POST",
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url=chat_url,
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headers=headers,
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body={
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"model": model,
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"messages": [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "1+1="}
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],
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"max_tokens": 5
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}, False
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},
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validator=validate_openai_chat_completion_response
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))
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cases.append((
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"developer + user 对话",
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"POST", chat_url, headers, {
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cases.append(TestCase(
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desc="developer + user 对话",
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method="POST",
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url=chat_url,
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headers=headers,
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body={
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"model": model,
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"messages": [
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{"role": "developer", "content": "You are a helpful assistant."},
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{"role": "user", "content": "1+1="}
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],
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"max_tokens": 5
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}, False
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}
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))
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cases.append((
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"多轮对话（含 assistant 历史）",
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"POST", chat_url, headers, {
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cases.append(TestCase(
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desc="多轮对话（含 assistant 历史）",
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method="POST",
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url=chat_url,
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headers=headers,
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body={
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"model": model,
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"messages": [
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{"role": "user", "content": "Hi"},
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@@ -212,74 +276,98 @@ def main():
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{"role": "user", "content": "1+1="}
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],
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"max_tokens": 5
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}, False
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}
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))
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cases.append((
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"temperature + top_p",
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"POST", chat_url, headers, {
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cases.append(TestCase(
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desc="temperature + top_p",
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method="POST",
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url=chat_url,
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headers=headers,
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body={
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"model": model,
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"messages": [{"role": "user", "content": "Hi"}],
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"max_tokens": 5,
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"temperature": 0.5,
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"top_p": 0.9
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}, False
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}
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))
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cases.append((
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"max_tokens 限制",
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"POST", chat_url, headers, {
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cases.append(TestCase(
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desc="max_tokens 限制",
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method="POST",
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url=chat_url,
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headers=headers,
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body={
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"model": model,
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"messages": [{"role": "user", "content": "讲一个故事"}],
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"max_tokens": 10
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}, False
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}
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))
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cases.append((
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"stop sequences",
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"POST", chat_url, headers, {
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cases.append(TestCase(
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desc="stop sequences",
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method="POST",
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url=chat_url,
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headers=headers,
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body={
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"model": model,
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"messages": [{"role": "user", "content": "数数: 1,2,3,"}],
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"max_tokens": 20,
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"stop": ["5"]
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}, False
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}
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))
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cases.append((
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"n=2 多候选",
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"POST", chat_url, headers, {
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cases.append(TestCase(
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desc="n=2 多候选",
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method="POST",
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url=chat_url,
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headers=headers,
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body={
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"model": model,
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"messages": [{"role": "user", "content": "Hi"}],
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"max_tokens": 5,
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"n": 2
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}, False
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}
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))
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cases.append((
|
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"seed 参数",
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"POST", chat_url, headers, {
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cases.append(TestCase(
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desc="seed 参数",
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method="POST",
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url=chat_url,
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headers=headers,
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body={
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"model": model,
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"messages": [{"role": "user", "content": "Hi"}],
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"max_tokens": 5,
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"seed": 42
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}, False
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}
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))
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cases.append((
|
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"frequency_penalty + presence_penalty",
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"POST", chat_url, headers, {
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cases.append(TestCase(
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desc="frequency_penalty + presence_penalty",
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method="POST",
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url=chat_url,
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headers=headers,
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body={
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"model": model,
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"messages": [{"role": "user", "content": "Hi"}],
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"max_tokens": 5,
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"frequency_penalty": 0.5,
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"presence_penalty": 0.5
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}, False
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}
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))
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cases.append((
|
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"max_completion_tokens 参数",
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"POST", chat_url, headers, {
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cases.append(TestCase(
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desc="max_completion_tokens 参数",
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method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "讲一个故事"}],
|
||||
"max_completion_tokens": 10
|
||||
}, False
|
||||
}
|
||||
))
|
||||
cases.append((
|
||||
"JSON mode (response_format: json_object)",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="JSON mode (response_format: json_object)",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [
|
||||
{"role": "system", "content": "以 JSON 格式回复: {\"answer\": \"ok\"}"},
|
||||
@@ -287,51 +375,69 @@ def main():
|
||||
],
|
||||
"max_tokens": 10,
|
||||
"response_format": {"type": "json_object"}
|
||||
}, False
|
||||
}
|
||||
))
|
||||
|
||||
# ---- Chat Completions: 负面用例 ----
|
||||
cases.append((
|
||||
"缺少 model 参数",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="缺少 model 参数",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"messages": [{"role": "user", "content": "Hi"}],
|
||||
"max_tokens": 5
|
||||
}, False
|
||||
}
|
||||
))
|
||||
cases.append((
|
||||
"缺少 messages 参数",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="缺少 messages 参数",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"max_tokens": 5
|
||||
}, False
|
||||
}
|
||||
))
|
||||
cases.append((
|
||||
"messages 为空数组",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="messages 为空数组",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [],
|
||||
"max_tokens": 5
|
||||
}, False
|
||||
}
|
||||
))
|
||||
cases.append((
|
||||
"无效 API key",
|
||||
"POST", chat_url, headers_bad_auth, {
|
||||
cases.append(TestCase(
|
||||
desc="无效 API key",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers_bad_auth,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "Hi"}],
|
||||
"max_tokens": 5
|
||||
}, False
|
||||
}
|
||||
))
|
||||
cases.append((
|
||||
"不存在的模型 (chat)",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="不存在的模型 (chat)",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": "nonexistent-model-xxx",
|
||||
"messages": [{"role": "user", "content": "Hi"}],
|
||||
"max_tokens": 5
|
||||
}, False
|
||||
}
|
||||
))
|
||||
cases.append((
|
||||
"畸形 JSON body",
|
||||
"POST", chat_url, headers, "invalid json{", False
|
||||
cases.append(TestCase(
|
||||
desc="畸形 JSON body",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body="invalid json{"
|
||||
))
|
||||
|
||||
# ---- --vision ----
|
||||
@@ -341,9 +447,12 @@ def main():
|
||||
"Gfp-wisconsin-madison-the-nature-boardwalk.jpg/"
|
||||
"2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
|
||||
)
|
||||
cases.append((
|
||||
"图片 URL 输入 + detail 参数 (--vision)",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="图片 URL 输入 + detail 参数 (--vision)",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [
|
||||
{"role": "system", "content": "简短描述图片"},
|
||||
@@ -355,39 +464,51 @@ def main():
|
||||
]}
|
||||
],
|
||||
"max_tokens": 10
|
||||
}, False
|
||||
}
|
||||
))
|
||||
|
||||
# ---- --stream ----
|
||||
if args.stream:
|
||||
cases.append((
|
||||
"基本流式 (--stream)",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="基本流式 (--stream)",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "Hi"}],
|
||||
"max_tokens": 5,
|
||||
"stream": True
|
||||
}, True
|
||||
},
|
||||
stream=True
|
||||
))
|
||||
cases.append((
|
||||
"流式 + include_usage (--stream)",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="流式 + include_usage (--stream)",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "Hi"}],
|
||||
"max_tokens": 5,
|
||||
"stream": True,
|
||||
"stream_options": {"include_usage": True}
|
||||
}, True
|
||||
},
|
||||
stream=True
|
||||
))
|
||||
cases.append((
|
||||
"流式 + stop sequences (--stream)",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="流式 + stop sequences (--stream)",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "数数: 1,2,3,"}],
|
||||
"max_tokens": 20,
|
||||
"stream": True,
|
||||
"stop": ["5"]
|
||||
}, True
|
||||
},
|
||||
stream=True
|
||||
))
|
||||
|
||||
# ---- --tools ----
|
||||
@@ -406,29 +527,38 @@ def main():
|
||||
}
|
||||
}
|
||||
}
|
||||
cases.append((
|
||||
"工具调用 tool_choice: auto (--tools)",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="工具调用 tool_choice: auto (--tools)",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "北京天气怎么样？"}],
|
||||
"max_tokens": 50,
|
||||
"tools": [tool_weather],
|
||||
"tool_choice": "auto"
|
||||
}, False
|
||||
}
|
||||
))
|
||||
cases.append((
|
||||
"工具调用 tool_choice: required (--tools)",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="工具调用 tool_choice: required (--tools)",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "北京天气怎么样？"}],
|
||||
"max_tokens": 50,
|
||||
"tools": [tool_weather],
|
||||
"tool_choice": "required"
|
||||
}, False
|
||||
}
|
||||
))
|
||||
cases.append((
|
||||
"指定函数调用 tool_choice: {name} (--tools)",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="指定函数调用 tool_choice: {name} (--tools)",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "北京天气怎么样？"}],
|
||||
"max_tokens": 50,
|
||||
@@ -437,11 +567,14 @@ def main():
|
||||
"type": "function",
|
||||
"function": {"name": "get_weather"}
|
||||
}
|
||||
}, False
|
||||
}
|
||||
))
|
||||
cases.append((
|
||||
"多轮工具调用（构造 tool 结果）(--tools)",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="多轮工具调用（构造 tool 结果）(--tools)",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [
|
||||
{"role": "user", "content": "北京天气怎么样？"},
|
||||
@@ -457,38 +590,47 @@ def main():
|
||||
],
|
||||
"max_tokens": 20,
|
||||
"tools": [tool_weather]
|
||||
}, False
|
||||
}
|
||||
))
|
||||
cases.append((
|
||||
"parallel_tool_calls: false (--tools)",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="parallel_tool_calls: false (--tools)",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "北京和上海的天气怎么样？"}],
|
||||
"max_tokens": 50,
|
||||
"tools": [tool_weather],
|
||||
"tool_choice": "auto",
|
||||
"parallel_tool_calls": False
|
||||
}, False
|
||||
}
|
||||
))
|
||||
|
||||
# ---- --logprobs ----
|
||||
if args.logprobs:
|
||||
cases.append((
|
||||
"logprobs + top_logprobs (--logprobs)",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="logprobs + top_logprobs (--logprobs)",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "Hi"}],
|
||||
"max_tokens": 5,
|
||||
"logprobs": True,
|
||||
"top_logprobs": 2
|
||||
}, False
|
||||
}
|
||||
))
|
||||
|
||||
# ---- --json-schema ----
|
||||
if args.json_schema:
|
||||
cases.append((
|
||||
"Structured Output json_schema (--json_schema)",
|
||||
"POST", chat_url, headers, {
|
||||
cases.append(TestCase(
|
||||
desc="Structured Output json_schema (--json_schema)",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "1+1等于几？"}],
|
||||
"max_tokens": 20,
|
||||
@@ -508,19 +650,67 @@ def main():
|
||||
}
|
||||
}
|
||||
}
|
||||
}, False
|
||||
}
|
||||
))
|
||||
|
||||
# ---- 执行测试 ----
|
||||
total = len(cases)
|
||||
count_2xx = 0
|
||||
count_other = 0
|
||||
# ---- 高级参数测试 ----
|
||||
# logit_bias: 修改特定token的似然
|
||||
cases.append(TestCase(
|
||||
desc="logit_bias 参数测试",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "Hello"}],
|
||||
"max_tokens": 5,
|
||||
"logit_bias": {"1234": -100, "5678": 50} # token_id: bias
|
||||
}
|
||||
))
|
||||
|
||||
print("=" * 60)
|
||||
print("OpenAI 兼容性测试")
|
||||
print(f"目标: {base_url}")
|
||||
print(f"模型: {model}")
|
||||
print(f"时间: {time.strftime('%Y-%m-%d %H:%M:%S')}")
|
||||
# reasoning_effort: 推理努力级别（需要模型支持）
|
||||
cases.append(TestCase(
|
||||
desc="reasoning_effort: medium",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "1+1=?"}],
|
||||
"max_tokens": 10,
|
||||
"reasoning_effort": "medium"
|
||||
}
|
||||
))
|
||||
|
||||
# service_tier: 服务层级
|
||||
cases.append(TestCase(
|
||||
desc="service_tier: auto",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "Hi"}],
|
||||
"max_tokens": 5,
|
||||
"service_tier": "auto"
|
||||
}
|
||||
))
|
||||
|
||||
# verbosity: 冗长程度
|
||||
cases.append(TestCase(
|
||||
desc="verbosity: low",
|
||||
method="POST",
|
||||
url=chat_url,
|
||||
headers=headers,
|
||||
body={
|
||||
"model": model,
|
||||
"messages": [{"role": "user", "content": "介绍一下Python"}],
|
||||
"max_tokens": 50,
|
||||
"verbosity": "low"
|
||||
}
|
||||
))
|
||||
|
||||
# ---- 执行测试 ----
|
||||
flags = []
|
||||
if args.vision:
|
||||
flags.append("vision")
|
||||
@@ -532,20 +722,15 @@ def main():
|
||||
flags.append("logprobs")
|
||||
if args.json_schema:
|
||||
flags.append("json-schema")
|
||||
print(f"用例: {total} 个" + (f" | 扩展: {', '.join(flags)}" if flags else ""))
|
||||
print("=" * 60)
|
||||
|
||||
for i, (desc, method, url, hdrs, body, stream) in enumerate(cases, 1):
|
||||
status = run_test(i, total, desc, url, method, hdrs, body, stream, ssl_ctx)
|
||||
if status is not None and 200 <= status < 300:
|
||||
count_2xx += 1
|
||||
else:
|
||||
count_other += 1
|
||||
|
||||
print()
|
||||
print("=" * 60)
|
||||
print(f"测试完成 | 总计: {total} | HTTP 2xx: {count_2xx} | 非 2xx: {count_other}")
|
||||
print("=" * 60)
|
||||
run_test_suite(
|
||||
cases=cases,
|
||||
ssl_ctx=ssl_ctx,
|
||||
title="OpenAI 兼容性测试",
|
||||
base_url=base_url,
|
||||
model=model,
|
||||
flags=flags
|
||||
)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
Reference in New Issue
Block a user