162 lines
5.3 KiB
Python
162 lines
5.3 KiB
Python
"""
|
||
图片分析模块 - 调用大模型 Vision API
|
||
"""
|
||
import base64
|
||
import requests
|
||
import json
|
||
import re
|
||
from pathlib import Path
|
||
from config import config_mgr, ANALYSIS_PROMPT
|
||
|
||
|
||
class ImageAnalyzer:
|
||
"""图片分析器"""
|
||
|
||
def __init__(self):
|
||
self.api_url = config_mgr.get('vision_api_url')
|
||
self.api_key = config_mgr.get('vision_api_key')
|
||
self.model = config_mgr.get('vision_model')
|
||
|
||
def encode_image(self, image_path):
|
||
"""将图片转为 base64"""
|
||
with open(image_path, 'rb') as f:
|
||
return base64.b64encode(f.read()).decode('utf-8')
|
||
|
||
def analyze(self, image_path):
|
||
"""分析图片
|
||
|
||
Returns:
|
||
dict: {'success': bool, 'events': list, 'error': str}
|
||
"""
|
||
try:
|
||
# 更新配置（可能已被修改）
|
||
self.api_url = config_mgr.get('vision_api_url')
|
||
self.api_key = config_mgr.get('vision_api_key')
|
||
self.model = config_mgr.get('vision_model')
|
||
|
||
# 检查配置
|
||
if not self.api_url:
|
||
return {'success': False, 'error': 'Vision API URL 未配置'}
|
||
if not self.api_key:
|
||
return {'success': False, 'error': 'Vision API Key 未配置'}
|
||
if not self.model:
|
||
return {'success': False, 'error': 'Vision Model 未配置'}
|
||
|
||
print(f"[Analyzer] Analyzing: {image_path}")
|
||
print(f"[Analyzer] API: {self.api_url}, Model: {self.model}")
|
||
|
||
# 编码图片
|
||
image_base64 = self.encode_image(image_path)
|
||
|
||
# 构建请求（OpenAI Vision 格式）
|
||
headers = {
|
||
"Authorization": f"Bearer {self.api_key}",
|
||
"Content-Type": "application/json"
|
||
}
|
||
|
||
payload = {
|
||
"model": self.model,
|
||
"messages": [
|
||
{
|
||
"role": "user",
|
||
"content": [
|
||
{
|
||
"type": "text",
|
||
"text": ANALYSIS_PROMPT
|
||
},
|
||
{
|
||
"type": "image_url",
|
||
"image_url": {
|
||
"url": f"data:image/jpeg;base64,{image_base64}"
|
||
}
|
||
}
|
||
]
|
||
}
|
||
],
|
||
"max_tokens": 500
|
||
}
|
||
|
||
# 发送请求
|
||
response = requests.post(
|
||
f"{self.api_url}/chat/completions",
|
||
headers=headers,
|
||
json=payload,
|
||
timeout=30
|
||
)
|
||
|
||
print(f"[Analyzer] Response status: {response.status_code}")
|
||
|
||
if response.status_code != 200:
|
||
print(f"[Analyzer] Error response: {response.text}")
|
||
return {
|
||
'success': False,
|
||
'error': f"API 错误: {response.status_code} - {response.text}"
|
||
}
|
||
|
||
# 解析结果
|
||
result = response.json()
|
||
content = result['choices'][0]['message']['content']
|
||
|
||
# 提取事件信息
|
||
events = self.parse_events(content)
|
||
|
||
return {
|
||
'success': True,
|
||
'raw_response': content,
|
||
'events': events
|
||
}
|
||
|
||
except requests.Timeout:
|
||
return {'success': False, 'error': 'API 请求超时'}
|
||
except Exception as e:
|
||
return {'success': False, 'error': str(e)}
|
||
|
||
def parse_events(self, content):
|
||
"""解析事件信息"""
|
||
events = []
|
||
|
||
# 如果无明显事件
|
||
if "无明显事件" in content or "没有明显" in content:
|
||
return [{
|
||
'event_type': '无事件',
|
||
'description': '无明显事件',
|
||
'confidence': '高'
|
||
}]
|
||
|
||
# 尝试解析结构化格式
|
||
pattern = r"事件类型[:：]\s*(.+?)\s*描述[:：]\s*(.+?)\s*置信度[:：]\s*(.+)"
|
||
matches = re.findall(pattern, content, re.DOTALL)
|
||
|
||
if matches:
|
||
for match in matches:
|
||
events.append({
|
||
'event_type': match[0].strip(),
|
||
'description': match[1].strip(),
|
||
'confidence': match[2].strip()
|
||
})
|
||
else:
|
||
# 无法解析结构，将整个内容作为描述
|
||
events.append({
|
||
'event_type': '其他',
|
||
'description': content[:200],
|
||
'confidence': '中'
|
||
})
|
||
|
||
return events
|
||
|
||
|
||
def analyze_image(image_path):
|
||
"""便捷函数"""
|
||
analyzer = ImageAnalyzer()
|
||
return analyzer.analyze(image_path)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
# 测试分析
|
||
test_image = Path(__file__).parent / "data" / "images" / "test.jpg"
|
||
if test_image.exists():
|
||
print(f"分析图片: {test_image}")
|
||
result = analyze_image(test_image)
|
||
print(f"结果: {json.dumps(result, ensure_ascii=False, indent=2)}")
|
||
else:
|
||
print("没有测试图片") |