修正docker镜像构建

services/__init__.py

@@ -1,34 +0,0 @@
-"""
-信息抽取关键词配置
-"""
-
-# 患者姓名
-PATIENT_NAME = ['患者姓名']
-# 入院日期
-ADMISSION_DATE = ['入院日期']
-# 出院日期
-DISCHARGE_DATE = ['出院日期']
-# 发生医疗费
-MEDICAL_EXPENSES = ['费用总额']
-# 个人现金支付
-PERSONAL_CASH_PAYMENT = ['个人现金支付']
-# 个人账户支付
-PERSONAL_ACCOUNT_PAYMENT = ['个人账户支付']
-# 个人自费金额
-PERSONAL_FUNDED_AMOUNT = ['自费金额', '个人自费']
-# 医保类别
-MEDICAL_INSURANCE_TYPE = ['医保类型']
-# 就诊医院
-HOSPITAL = ['医院']
-# 就诊科室
-DEPARTMENT = ['科室']
-# 主治医生
-DOCTOR = ['主治医生']
-# 住院号
-ADMISSION_ID = ['住院号']
-# 医保结算单号码
-SETTLEMENT_ID = ['医保结算单号码']
-# 年龄
-AGE = ['年龄']
-# 大写总额
-UPPERCASE_MEDICAL_EXPENSES = ['大写总额']

services/paddle_services/Dockerfile

@@ -12,7 +12,7 @@ ENV PYTHONUNBUFFERED=1 \
     PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple
 
 # 安装依赖
-COPY ./services/paddle_services/requestments.txt /app/requirements.txt
+COPY requestments.txt /app/requirements.txt
 RUN ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo '$TZ' > /etc/timezone \
     && pip install --no-cache-dir -r requirements.txt \
     && pip uninstall -y onnxruntime onnxruntime-gpu \

services/paddle_services/__init__.py

@@ -0,0 +1,34 @@
+"""
+信息抽取关键词配置
+"""
+
+# 患者姓名
+PATIENT_NAME = ['患者姓名']
+# 入院日期
+ADMISSION_DATE = ['入院日期']
+# 出院日期
+DISCHARGE_DATE = ['出院日期']
+# 发生医疗费
+MEDICAL_EXPENSES = ['费用总额']
+# 个人现金支付
+PERSONAL_CASH_PAYMENT = ['个人现金支付']
+# 个人账户支付
+PERSONAL_ACCOUNT_PAYMENT = ['个人账户支付']
+# 个人自费金额
+PERSONAL_FUNDED_AMOUNT = ['自费金额', '个人自费']
+# 医保类别
+MEDICAL_INSURANCE_TYPE = ['医保类型']
+# 就诊医院
+HOSPITAL = ['医院']
+# 就诊科室
+DEPARTMENT = ['科室']
+# 主治医生
+DOCTOR = ['主治医生']
+# 住院号
+ADMISSION_ID = ['住院号']
+# 医保结算单号码
+SETTLEMENT_ID = ['医保结算单号码']
+# 年龄
+AGE = ['年龄']
+# 大写总额
+UPPERCASE_MEDICAL_EXPENSES = ['大写总额']

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/det_api.py

@@ -3,7 +3,7 @@ import os.path
 import cv2
 from flask import Flask, request
 
-from paddle_services.paddle_detection import detector
+from paddle_detection import detector
 from utils import process_request, parse_img_path
 
 app = Flask(__name__)

services/paddle_services/dewarp_api.py

@@ -3,7 +3,7 @@ import os
 import cv2
 from flask import Flask, request
 
-from paddle_services.doc_dewarp import dewarper
+from doc_dewarp import dewarper
 from utils import process_request, parse_img_path
 
 app = Flask(__name__)

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/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

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