linebot_pydantic_fastapi / test_openrouter_connection.py
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add openrouter connection testing script
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#!/usr/bin/env python3
"""
OpenRouter API 連線測試腳本
測試 DeepSeek V3 是否能正常連接和回應
"""
import requests
import json
import os
from datetime import datetime
# API 設定
OPENROUTER_API_KEY = "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"
OPENROUTER_MODEL = "deepseek/deepseek-chat-v3-0324:free"
OPENROUTER_URL = "https://openrouter.ai/api/v1/chat/completions"
def test_openrouter_connection():
"""測試 OpenRouter API 連線"""
print("🔧 OpenRouter API 連線測試")
print("=" * 50)
print(f"⏰ 測試時間: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
print(f"🔑 API Key: {OPENROUTER_API_KEY[:20]}...")
print(f"🤖 模型: {OPENROUTER_MODEL}")
print(f"🌐 API URL: {OPENROUTER_URL}")
print("=" * 50)
# 設定請求標頭
headers = {
"Authorization": f"Bearer {OPENROUTER_API_KEY}",
"Content-Type": "application/json",
"HTTP-Referer": "https://huggingface.co/spaces",
"X-Title": "OpenRouter Connection Test"
}
# 測試案例
test_cases = [
{
"name": "基本連線測試",
"message": "你好,請介紹一下自己"
},
{
"name": "中文理解測試",
"message": "請分析這句話的意圖:查詢iPhone庫存"
},
{
"name": "業務查詢測試",
"message": "如果用戶說「商品查詢」,這應該被歸類為什麼意圖?請用JSON格式回答"
}
]
for i, test_case in enumerate(test_cases, 1):
print(f"\n📝 測試 {i}: {test_case['name']}")
print("-" * 30)
# 準備請求資料
data = {
"model": OPENROUTER_MODEL,
"messages": [
{
"role": "system",
"content": "你是 DeepSeek V3,一個強大的中文 AI 助手。請用繁體中文回應。"
},
{
"role": "user",
"content": test_case['message']
}
],
"temperature": 0.7,
"max_tokens": 300
}
try:
print(f"📤 發送請求: {test_case['message']}")
# 發送 API 請求
response = requests.post(
OPENROUTER_URL,
headers=headers,
json=data,
timeout=30
)
print(f"📊 狀態碼: {response.status_code}")
if response.status_code == 200:
# 解析回應
result = response.json()
content = result["choices"][0]["message"]["content"]
print(f"✅ 請求成功!")
print(f"🤖 DeepSeek V3 回應:")
print(f" {content[:200]}{'...' if len(content) > 200 else ''}")
# 顯示使用統計
if "usage" in result:
usage = result["usage"]
print(f"📈 Token 使用: {usage.get('total_tokens', 'N/A')} tokens")
else:
print(f"❌ 請求失敗!")
print(f"錯誤回應: {response.text}")
except requests.exceptions.Timeout:
print("❌ 請求超時 (30秒)")
except requests.exceptions.ConnectionError:
print("❌ 網路連線錯誤")
except json.JSONDecodeError:
print("❌ JSON 解析錯誤")
print(f"原始回應: {response.text}")
except Exception as e:
print(f"❌ 未知錯誤: {str(e)}")
def test_api_key_validity():
"""測試 API Key 有效性"""
print("\n🔐 API Key 有效性測試")
print("-" * 30)
headers = {
"Authorization": f"Bearer {OPENROUTER_API_KEY}",
"Content-Type": "application/json"
}
# 簡單的測試請求
data = {
"model": OPENROUTER_MODEL,
"messages": [{"role": "user", "content": "test"}],
"max_tokens": 1
}
try:
response = requests.post(OPENROUTER_URL, headers=headers, json=data, timeout=10)
if response.status_code == 200:
print("✅ API Key 有效")
return True
elif response.status_code == 401:
print("❌ API Key 無效或已過期")
return False
elif response.status_code == 402:
print("⚠️ 餘額不足")
return False
else:
print(f"⚠️ 未知狀態: {response.status_code}")
print(f"回應: {response.text}")
return False
except Exception as e:
print(f"❌ 測試失敗: {str(e)}")
return False
def check_model_availability():
"""檢查模型可用性"""
print("\n🤖 模型可用性檢查")
print("-" * 30)
# 嘗試獲取可用模型列表
try:
headers = {
"Authorization": f"Bearer {OPENROUTER_API_KEY}",
}
response = requests.get("https://openrouter.ai/api/v1/models", headers=headers, timeout=10)
if response.status_code == 200:
models = response.json()
# 檢查 DeepSeek 模型
deepseek_models = [model for model in models.get('data', [])
if 'deepseek' in model.get('id', '').lower()]
print(f"✅ 找到 {len(deepseek_models)} 個 DeepSeek 模型:")
for model in deepseek_models[:5]: # 只顯示前5個
print(f" - {model.get('id', 'N/A')}")
# 檢查目標模型是否存在
target_model_exists = any(model.get('id') == OPENROUTER_MODEL
for model in models.get('data', []))
if target_model_exists:
print(f"✅ 目標模型 {OPENROUTER_MODEL} 可用")
else:
print(f"⚠️ 目標模型 {OPENROUTER_MODEL} 可能不可用")
else:
print(f"⚠️ 無法獲取模型列表: {response.status_code}")
except Exception as e:
print(f"❌ 檢查失敗: {str(e)}")
def main():
"""主函數"""
print("🚀 開始 OpenRouter API 完整測試")
print("=" * 60)
# 1. 檢查 API Key 有效性
if not test_api_key_validity():
print("\n❌ API Key 測試失敗,停止後續測試")
return
# 2. 檢查模型可用性
check_model_availability()
# 3. 進行完整連線測試
test_openrouter_connection()
print("\n" + "=" * 60)
print("🎉 測試完成!")
print("\n💡 如果所有測試都成功,表示:")
print(" ✅ OpenRouter API Key 有效")
print(" ✅ DeepSeek V3 模型可用")
print(" ✅ 網路連線正常")
print(" ✅ API 回應正常")
print("\n🔧 如果業務查詢仍有問題,則確定是事件循環衝突導致的技術問題")
if __name__ == "__main__":
main()