backup: 完成 HR_position_ 表格前綴重命名與欄位對照表整理
變更內容： - 所有資料表加上 HR_position_ 前綴 - 整理完整欄位顯示名稱與 ID 對照表 - 模組化 JS 檔案 (admin.js, ai.js, csv.js 等) - 專案結構優化 (docs/, scripts/, tests/ 等) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
62
tests/test_deepseek_reasoner.py
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62
tests/test_deepseek_reasoner.py
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"""
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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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70
tests/test_ollama.py
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70
tests/test_ollama.py
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"""
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Test Ollama API integration
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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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# 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 Ollama API Connection")
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print("=" * 60)
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print()
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# Test 1: List models
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print("Test 1: Listing available models...")
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try:
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response = requests.get(f"{API_URL}/v1/models", timeout=10, verify=False)
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print(f"Status Code: {response.status_code}")
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if response.status_code == 200:
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data = response.json()
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models = data.get('data', [])
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print(f"Found {len(models)} models:")
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for model in models[:5]:
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print(f" - {model.get('id', 'Unknown')}")
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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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# Test 2: Chat completion
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print("Test 2: Testing chat completion...")
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try:
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chat_request = {
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"model": "qwen2.5:3b",
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"messages": [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "Say hello in Chinese."}
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],
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"temperature": 0.7,
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"max_tokens": 50
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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(f"Response: {text}")
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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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79
tests/test_ollama2.py
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79
tests/test_ollama2.py
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"""
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Test Ollama API with different parameters
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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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# 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 Ollama Chat Completion - Variant Tests")
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print("=" * 60)
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print()
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# Test 1: Using qwen2.5:72b (actual available model)
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print("Test 1: Using qwen2.5:72b model...")
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try:
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chat_request = {
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"model": "qwen2.5:72b",
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"messages": [
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{"role": "user", "content": "Say hello in Chinese."}
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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(f"Success! Response: {text}")
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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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# Test 2: Try deepseek-chat model
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print("Test 2: Using deepseek-chat model...")
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try:
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chat_request = {
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"model": "deepseek-chat",
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"messages": [
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{"role": "user", "content": "Say hello in Chinese."}
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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(f"Success! Response: {text}")
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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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110
tests/test_ollama_final.py
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110
tests/test_ollama_final.py
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"""
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Final Ollama API Integration Test
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Tests the integration with the Flask app
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"""
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import requests
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import json
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import sys
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# Set UTF-8 encoding for output
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if sys.platform == 'win32':
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import codecs
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sys.stdout = codecs.getwriter('utf-8')(sys.stdout.buffer, 'strict')
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print("=" * 60)
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print("Ollama API Integration Test (via Flask App)")
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print("=" * 60)
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print()
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# Test 1: Test Ollama connection status
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print("Test 1: Checking Ollama API configuration...")
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try:
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response = requests.get("http://localhost:5000/api/llm/config", timeout=10)
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if response.status_code == 200:
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config = response.json()
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ollama_config = config.get('ollama', {})
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print(f" Name: {ollama_config.get('name', 'N/A')}")
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print(f" Enabled: {ollama_config.get('enabled', False)}")
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print(f" Endpoint: {ollama_config.get('endpoint', 'N/A')}")
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print(" Status: ✓ Configuration OK")
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else:
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print(f" Status: ✗ Error {response.status_code}")
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except Exception as e:
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print(f" Status: ✗ Error: {str(e)}")
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print()
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# Test 2: Generate text using Ollama
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print("Test 2: Testing text generation with Ollama...")
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try:
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payload = {
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"api": "ollama",
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"prompt": "請用中文回答：你好嗎？",
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"max_tokens": 100
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}
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response = requests.post(
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"http://localhost:5000/api/llm/generate",
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json=payload,
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headers={'Content-Type': 'application/json'},
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timeout=60
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)
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print(f" Status Code: {response.status_code}")
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result = response.json()
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if result.get('success'):
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text = result.get('text', '')
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print(f" Status: ✓ Generation successful")
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print(f" Response length: {len(text)} characters")
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print(f" Response preview: {text[:100]}...")
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# Save full response to file
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with open('ollama_response.txt', 'w', encoding='utf-8') as f:
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f.write(text)
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print(f" Full response saved to: ollama_response.txt")
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else:
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error = result.get('error', 'Unknown error')
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print(f" Status: ✗ Generation failed")
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print(f" Error: {error}")
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except Exception as e:
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print(f" Status: ✗ Error: {str(e)}")
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print()
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# Test 3: Test with English prompt
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print("Test 3: Testing with English prompt...")
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try:
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payload = {
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"api": "ollama",
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"prompt": "Write a haiku about coding.",
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"max_tokens": 100
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}
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response = requests.post(
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"http://localhost:5000/api/llm/generate",
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json=payload,
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headers={'Content-Type': 'application/json'},
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timeout=60
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)
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result = response.json()
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if result.get('success'):
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text = result.get('text', '')
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print(f" Status: ✓ Generation successful")
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print(f" Response:\n{text}")
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else:
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error = result.get('error', 'Unknown error')
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print(f" Status: ✗ Generation failed")
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print(f" Error: {error}")
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except Exception as e:
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print(f" Status: ✗ Error: {str(e)}")
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print()
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print("=" * 60)
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print("Integration test completed!")
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print("=" * 60)
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