modify

draw/requirement.txt

@@ -1,4 +1,5 @@
 opencv-python-headless
 tensorflow
 opencv-python
-mtcnn
+mtcnn
+traceback2

draw/web_index.py

@@ -6,6 +6,31 @@ import MTCNN_person
 
 app = Flask(__name__)
 
+import datetime
+import logging
+def get_today_str(plusDay=0):
+    today = datetime.datetime.now()
+    today = today + datetime.timedelta(days=plusDay)
+    return today.strftime('%Y-%m-%d')
+
+today = get_today_str()
+def logger(log_obj, log_file="/data/logs/face-info-" + today.replace('-', '') +".log"):
+    logger_obj = logging.getLogger(log_obj)
+    logger_obj.setLevel(logging.INFO)
+
+    file_handle = logging.FileHandler(log_file)
+    file_handle.setLevel(logging.INFO)
+
+    formatter = logging.Formatter(
+        '%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+
+    file_handle.setFormatter(formatter)
+
+    logger_obj.addHandler(file_handle)
+
+    return logger_obj
+_logger = logger(__name__)
+
 @app.route('/')
 def hello_world():
     return 'Hello World!'
@@ -42,16 +67,26 @@ def download():
 def face():
     info = request.args.get('url')
     time1 = int(round(time.time() * 1000))
-    print('info=%s' % info)
+    _logger.info('info=%s' % info)
     name = do_download(info)
     time2 = int(round(time.time() * 1000))
     faces = MTCNN_person.detector(dir + name)
     time3 = int(round(time.time() * 1000))
-    print('over %s from %s' % (time3 - time1, time1))
+    _logger.info('[%s] over %s from %s' % (name, time3 - time1, time1))
     return json.dumps(faces)
 
 
+from gevent import pywsgi
+import traceback
 if __name__ == '__main__':
-    app.run(port=5000)
+    try:
+        # app.run(host='192.168.0.220', port=5000)
+        server = pywsgi.WSGIServer(('0.0.0.0', 5000), app)
+        server.serve_forever()
+    except Exception as e:
+        traceback.print_exc(file=open('error.txt', 'a+'))
+        print(e)
+    # server = pywsgi.WSGIServer(('0.0.0.0', 5000), app)
+    # server.serve_forever()
     # do_download(url='https://img.bbztx.com/article/live150178/team217182/20230913192631_tmp_9fbaaecf98fd1a3e91a6571f744f4b34511300d6c5a5b358.jpg?x-oss-process=image/resize,h_1000,m_lfit')
     # MTCNN_person.detector('C:\\Users\\yufen\\Pictures\\face\\20230913192631_tmp_9fbaaecf98fd1a3e91a6571f744f4b34511300d6c5a5b358.jpg')