pharmacy / unified_server.py
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"""
统一服务器 - 合并H5页面 + OCR + 导出服务于一个端口
手机端通过内网穿透访问
"""
import json
import io
import os
import sys
import re
import base64
import tempfile
from http.server import HTTPServer, BaseHTTPRequestHandler
from urllib.parse import urlparse
# 确保能导入同目录模块
WORK_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, WORK_DIR)
# 导入导出服务核心函数
from export_server import generate_docx
# 导入OCR核心函数
import pytesseract
import platform
import shutil
from PIL import Image
# 跨平台 Tesseract 路径配置
if platform.system() == 'Windows':
# Windows 本地开发环境
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'
os.environ['TESSDATA_PREFIX'] = os.path.expandvars(r'%USERPROFILE%\.tesseract\tessdata')
else:
# Linux/Docker 环境:tesseract 已通过 apt 安装到 PATH
tesseract_bin = shutil.which('tesseract')
if tesseract_bin:
pytesseract.pytesseract.tesseract_cmd = tesseract_bin
# 自动检测 tessdata 路径(兼容 Tesseract 4.x/5.x)
for _tessdata in ['/usr/share/tesseract-ocr/5/tessdata',
'/usr/share/tesseract-ocr/4.00/tessdata',
'/usr/share/tessdata']:
if os.path.isdir(_tessdata):
os.environ.setdefault('TESSDATA_PREFIX', _tessdata)
break
print(f'[Tesseract] cmd={pytesseract.pytesseract.tesseract_cmd}, '
f'TESSDATA_PREFIX={os.environ.get("TESSDATA_PREFIX", "(default)")}')
# H5页面路径
H5_FILE = os.path.join(WORK_DIR, 'test-h5.html')
PORT = int(os.environ.get('PORT', 7860))
def ocr_image(image_data):
"""对图片进行OCR识别"""
img = Image.open(io.BytesIO(image_data))
w, h = img.size
max_dim = 2000
if w > max_dim or h > max_dim:
ratio = min(max_dim / w, max_dim / h)
img = img.resize((int(w * ratio), int(h * ratio)), Image.LANCZOS)
text = pytesseract.image_to_string(img, lang='chi_sim', config='--psm 6')
return text.strip()
class UnifiedHandler(BaseHTTPRequestHandler):
def _add_cors_headers(self):
self.send_header('Access-Control-Allow-Origin', '*')
self.send_header('Access-Control-Allow-Methods', 'GET, POST, OPTIONS')
self.send_header('Access-Control-Allow-Headers', 'Content-Type')
def do_OPTIONS(self):
self.send_response(200)
self._add_cors_headers()
self.end_headers()
def do_GET(self):
"""处理GET请求 - 返回H5页面"""
path = urlparse(self.path).path
if path == '/' or path == '/test-h5.html' or path == '/index.html':
try:
with open(H5_FILE, 'r', encoding='utf-8') as f:
content = f.read()
self.send_response(200)
self.send_header('Content-Type', 'text/html; charset=utf-8')
self._add_cors_headers()
self.end_headers()
self.wfile.write(content.encode('utf-8'))
except Exception as e:
self.send_error(500, f'读取页面失败: {e}')
elif path == '/health':
# 健康检查
self.send_response(200)
self.send_header('Content-Type', 'application/json')
self._add_cors_headers()
self.end_headers()
self.wfile.write(json.dumps({'status': 'ok'}).encode('utf-8'))
else:
self.send_error(404, '页面不存在')
def do_POST(self):
"""处理POST请求 - OCR和导出"""
path = urlparse(self.path).path
if path == '/ocr':
self._handle_ocr()
elif path == '/export':
self._handle_export()
else:
self.send_error(404, '接口不存在')
def _handle_ocr(self):
"""处理OCR识别请求"""
content_length = int(self.headers.get('Content-Length', 0))
body = self.rfile.read(content_length)
content_type = self.headers.get('Content-Type', '')
if 'multipart/form-data' not in content_type:
self._send_json({'error': '需要 multipart/form-data'}, 400)
return
# 提取 boundary
boundary = content_type.split('boundary=')[1].strip()
if boundary.startswith('"') and boundary.endswith('"'):
boundary = boundary[1:-1]
# 手动解析 multipart
parts = body.split(('--' + boundary).encode())
image_data = None
for part in parts:
if b'Content-Disposition' in part and b'filename=' in part:
header_end = part.find(b'\r\n\r\n')
if header_end == -1:
continue
file_data = part[header_end + 4:]
if file_data.endswith(b'\r\n'):
file_data = file_data[:-2]
image_data = file_data
break
if not image_data:
self._send_json({'error': '未找到图片数据'}, 400)
return
try:
text = ocr_image(image_data)
self._send_json({'text': text, 'length': len(text)})
print(f'[OCR] 识别成功,提取 {len(text)} 个字符')
except Exception as e:
self._send_json({'error': f'OCR识别失败: {str(e)}'}, 500)
print(f'[OCR] 识别失败: {e}')
def _handle_export(self):
"""处理Word文档导出请求"""
content_length = int(self.headers.get('Content-Length', 0))
body = self.rfile.read(content_length)
try:
visit_data = json.loads(body)
buffer = generate_docx(visit_data)
self.send_response(200)
self.send_header('Content-Type',
'application/vnd.openxmlformats-officedocument.wordprocessingml.document')
self._add_cors_headers()
filename = 'visit_%s_%sstores.docx' % (
visit_data.get('visitDateDisplay', '').replace('.', '-'),
visit_data.get('totalCount', 0)
)
self.send_header('Content-Disposition', f'attachment; filename="{filename}"')
self.end_headers()
self.wfile.write(buffer.getvalue())
print(f'[Export] 导出成功: {filename}')
except Exception as e:
self.send_response(500)
self.send_header('Content-Type', 'application/json')
self._add_cors_headers()
self.end_headers()
self.wfile.write(json.dumps({'error': str(e)}).encode('utf-8'))
print(f'[Export] 导出失败: {e}')
def _send_json(self, data, status=200):
self.send_response(status)
self.send_header('Content-Type', 'application/json; charset=utf-8')
self._add_cors_headers()
self.end_headers()
self.wfile.write(json.dumps(data, ensure_ascii=False).encode('utf-8'))
def log_message(self, format, *args):
print(f'[{self.log_date_time_string()}] {args[0]}')
if __name__ == '__main__':
print('=' * 50)
print(' 药店拜访助手 - 统一服务器')
print(f' 本机访问: http://127.0.0.1:{PORT}')
print(f' 局域网访问: http://<本机IP>:{PORT}')
print('=' * 50)
# 绑定 0.0.0.0 让局域网设备也能访问
server = HTTPServer(('0.0.0.0', PORT), UnifiedHandler)
try:
server.serve_forever()
except KeyboardInterrupt:
print('\n服务器已停止')
server.shutdown()