DonaldFang 方士碩
12ceccc3d3
新增檔案： - js/ui.js - UI 操作、模組切換、預覽更新、表單資料收集 - js/main.js - 主程式初始化、事件監聽器設置、快捷鍵 更新檔案： - index.html - 引用 ES6 模組 (type="module") 功能： ✅ 模組切換功能 ✅ 標籤頁切換 ✅ 表單欄位監聽 ✅ JSON 預覽更新 ✅ 快捷鍵支援 (Ctrl+S, Ctrl+N) ✅ 用戶信息載入 ✅ 登出功能 注意： - 大部分 JavaScript 代碼仍在 HTML 中（約 2400 行） - 已建立核心模組架構，便於後續逐步遷移 - 使用 ES6 Modules，需要通過 HTTP Server 運行 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
63 lines
1.5 KiB
Python
63 lines
1.5 KiB
Python
"""
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Test deepseek-reasoner model on Ollama API
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"""
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import requests
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import json
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import urllib3
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import sys
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import codecs
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# Set UTF-8 encoding for output
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if sys.platform == 'win32':
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sys.stdout = codecs.getwriter('utf-8')(sys.stdout.buffer, 'strict')
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# Disable SSL warnings
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urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
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API_URL = "https://ollama_pjapi.theaken.com"
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print("=" * 60)
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print("Testing deepseek-reasoner model")
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print("=" * 60)
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print()
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# Test chat completion with deepseek-reasoner
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print("Sending test prompt to deepseek-reasoner...")
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try:
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chat_request = {
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"model": "deepseek-reasoner",
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"messages": [
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{"role": "user", "content": "請用中文簡單地說明什麼是人工智慧"}
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]
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}
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response = requests.post(
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f"{API_URL}/v1/chat/completions",
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json=chat_request,
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headers={'Content-Type': 'application/json'},
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timeout=60,
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verify=False
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)
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print(f"Status Code: {response.status_code}")
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if response.status_code == 200:
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result = response.json()
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text = result['choices'][0]['message']['content']
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print("\nResponse:")
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print("-" * 60)
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print(text)
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print("-" * 60)
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# Save to file
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with open('deepseek_reasoner_output.txt', 'w', encoding='utf-8') as f:
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f.write(text)
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print("\n✓ Response saved to: deepseek_reasoner_output.txt")
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else:
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print(f"Error: {response.text}")
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except Exception as e:
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print(f"Error: {str(e)}")
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print()
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print("=" * 60)
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