调整容器挂载文件

services/paddle_services/cost_api.py

@@ -9,7 +9,7 @@ from . import PATIENT_NAME, ADMISSION_DATE, DISCHARGE_DATE, MEDICAL_EXPENSES
 app = Flask(__name__)
 COST_LIST_SCHEMA = PATIENT_NAME + ADMISSION_DATE + DISCHARGE_DATE + MEDICAL_EXPENSES
 COST = Taskflow('information_extraction', schema=COST_LIST_SCHEMA, model='uie-x-base',
-                task_path='../../model/cost_list_model', layout_analysis=False, precision='fp16')
+                task_path='model/cost_list_model', layout_analysis=False, precision='fp16')
 
 
 @app.route('/nlp/cost', methods=['POST'])

services/paddle_services/discharge_api.py

@@ -11,7 +11,7 @@ DISCHARGE_RECORD_SCHEMA = (
         HOSPITAL + DEPARTMENT + PATIENT_NAME + ADMISSION_DATE + DISCHARGE_DATE + DOCTOR + ADMISSION_ID + AGE
 )
 DISCHARGE = Taskflow('information_extraction', schema=DISCHARGE_RECORD_SCHEMA, model='uie-x-base',
-                     task_path='../../model/discharge_record_model', layout_analysis=False, precision='fp16')
+                     task_path='model/discharge_record_model', layout_analysis=False, precision='fp16')
 
 
 @app.route('/nlp/discharge', methods=['POST'])

services/paddle_services/log/__init__.py

@@ -0,0 +1,70 @@
+import os
+import socket
+
+# 获取主机名，方便区分容器
+HOSTNAME = socket.gethostname()
+# 检测日志文件的路径是否存在，不存在则创建
+LOG_PATHS = [
+    f"log/{HOSTNAME}/error",
+]
+for path in LOG_PATHS:
+    if not os.path.exists(path):
+        os.makedirs(path)
+
+# 配置字典
+LOGGING_CONFIG = {
+    'version': 1,  # 必需，指定配置格式的版本
+    'disable_existing_loggers': False,  # 是否禁用已经存在的logger实例
+
+    # formatters定义了不同格式的日志样式
+    'formatters': {
+        'standard': {
+            'format': '%(asctime)s [%(levelname)s] %(name)s: %(message)s',
+            'datefmt': '%Y-%m-%d %H:%M:%S',
+        },
+    },
+
+    # handlers定义了不同类型的日志处理器
+    'handlers': {
+        'console': {
+            'class': 'logging.StreamHandler',  # 控制台处理器
+            'level': 'DEBUG',
+            'formatter': 'standard',
+            'stream': 'ext://sys.stdout',  # 输出到标准输出，默认编码跟随系统，一般为UTF-8
+        },
+        'file': {
+            'class': 'logging.handlers.TimedRotatingFileHandler',  # 文件处理器，支持日志滚动
+            'level': 'INFO',
+            'formatter': 'standard',
+            'filename': f'log/{HOSTNAME}/fcb_photo_review.log',  # 日志文件路径
+            'when': 'midnight',
+            'interval': 1,
+            'backupCount': 14,  # 保留的备份文件数量
+            'encoding': 'utf-8',  # 显式指定文件编码为UTF-8以支持中文
+        },
+        'error': {
+            'class': 'logging.handlers.TimedRotatingFileHandler',
+            'level': 'INFO',
+            'formatter': 'standard',
+            'filename': f'log/{HOSTNAME}/error/fcb_photo_review_error.log',
+            'when': 'midnight',
+            'interval': 1,
+            'backupCount': 14,
+            'encoding': 'utf-8',
+        },
+    },
+
+    # loggers定义了日志记录器
+    'loggers': {
+        '': {  # 根记录器
+            'handlers': ['console', 'file'],  # 关联的处理器
+            'level': 'DEBUG',  # 根记录器的级别
+            'propagate': False,  # 是否向上级传播日志信息
+        },
+        'error': {
+            'handlers': ['console', 'file', 'error'],
+            'level': 'DEBUG',
+            'propagate': False,
+        },
+    },
+}

services/paddle_services/model/README.md

@@ -0,0 +1 @@
+存放深度学习模型的目录

services/paddle_services/settlement_api.py

@@ -15,7 +15,7 @@ SETTLEMENT_LIST_SCHEMA = (
         + UPPERCASE_MEDICAL_EXPENSES
 )
 SETTLEMENT_IE = Taskflow('information_extraction', schema=SETTLEMENT_LIST_SCHEMA, model='uie-x-base',
-                         task_path='../../model/settlement_list_model', layout_analysis=False, precision='fp16')
+                         task_path='model/settlement_list_model', layout_analysis=False, precision='fp16')
 
 
 @app.route('/nlp/settlement', methods=['POST'])

services/paddle_services/utils.py

@@ -1,3 +1,4 @@
+import logging
 import os
 
 from flask import jsonify
@@ -13,6 +14,7 @@ def process_request(func):
             result = func(*args, **kwargs)
             return jsonify(result), 200
         except Exception as e:
+            logging.getLogger("error").error(e, exc_info=e)
             return jsonify({'error': str(e)}), 500
 
     return wrapper