diff --git a/README.md b/README.md
new file mode 100644
index 0000000..3039a7d
--- /dev/null
+++ b/README.md
@@ -0,0 +1,46 @@
+文件解释
+-----------
+
+样例包括:
+
+* README.md - 本文件
+* Dockerfile - 用以自动构建 Docker 镜像的脚本
+* requirements.txt - 依赖包文件
+* main.py - 主 Flask 服务器端源代码
+* python-version : 3.9
+
+快速开始
+---------------
+
+如下这些引导，假定你想在自己的电脑上开发本项目。
+
+1. 安装依赖
+
+         $ conda create -n trinity_client_mixi python=3.9 
+         $ conda create -n trinity_client_mixi  -y
+         $ conda activate trinity_client_mixi 
+         $ pip install -r requirements.txt
+         $ conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia -y
+         $ pip install mmcv==1.4.2 -f https://download.openmmlab.com/mmcv/dist/cu117/torch1.13/index.html
+
+
+2. 启动服务器
+
+        $ uvicorn app.main:app --host 0.0.0.0 --port 8000
+
+3. 打开 http://127.0.0.1:8000/docs
+
+Docker 部署
+---------------
+1. 构建镜像
+
+         $ cd {workspace}
+         $ docker build -t trinity_client_mixi
+
+2. 使用docker-compose 启动
+         
+         $ docker-compose up -d
+
+3. 查看日志
+         
+         $ docker-compose logs -f 
\ No newline at end of file
diff --git a/app/core/config.py b/app/core/config.py
index 0039518..3d7126d 100644
--- a/app/core/config.py
+++ b/app/core/config.py
@@ -29,3 +29,16 @@ MINIO_SECRET = "uHfqJ7UkwA1PTDGfnA44Hp9ux5YkZTkzZLjeOYhE"
 
 OM_TRITON_IP = "10.1.1.150"
 OM_TRITON_PORT = "7000"
+
+ATT_TRITON_IP = "10.1.1.150"
+ATT_TRITON_PORT = "6000"
+
+# service env
+# LOGSPATH = "logs/errors.log"
+# FASHION_CATEGORIES = "app/service/outfit_matcher/config/fashion_categories.json"
+# FASHION_CATEGORIES_MAPPING = "app/service/outfit_matcher/config/fashion_category_mapping.json"
+
+# pycharm debug
+LOGSPATH = "logs/errors.log"
+FASHION_CATEGORIES = "service/outfit_matcher/config/fashion_categories.json"
+FASHION_CATEGORIES_MAPPING = "service/outfit_matcher/config/fashion_category_mapping.json"
diff --git a/app/service/attribute_recognition/service.py b/app/service/attribute_recognition/service.py
index 65015be..2b143cf 100644
--- a/app/service/attribute_recognition/service.py
+++ b/app/service/attribute_recognition/service.py
@@ -13,7 +13,7 @@ from torchvision import transforms
 import pandas as pd
 from minio import Minio
 
-from app.core.config import MINIO_IP, MINIO_PORT, MINIO_SECURE, MINIO_ACCESS, MINIO_SECRET
+from app.core.config import MINIO_IP, MINIO_PORT, MINIO_SECURE, MINIO_ACCESS, MINIO_SECRET, ATT_TRITON_IP, ATT_TRITON_PORT
 
 
 def Merge(dict1, dict2):
@@ -54,7 +54,7 @@ class Rescale(object):
 
 class AttributeRecognition:
     def __init__(self):
-        self.httpclient = httpclient.InferenceServerClient(url="10.1.1.150:6000")
+        self.httpclient = httpclient.InferenceServerClient(url=f"{ATT_TRITON_IP}:{ATT_TRITON_PORT}")
         self.minio_client = Minio(
             f"{MINIO_IP}:{MINIO_PORT}",
             access_key=MINIO_ACCESS,
diff --git a/app/service/outfit_matcher/dataset.py b/app/service/outfit_matcher/dataset.py
index 492977d..a363c00 100644
--- a/app/service/outfit_matcher/dataset.py
+++ b/app/service/outfit_matcher/dataset.py
@@ -4,6 +4,8 @@ import itertools
 import difflib
 from copy import deepcopy
 
+from app.core.config import FASHION_CATEGORIES, FASHION_CATEGORIES_MAPPING
+
 
 # Helper function to calculate the edit distance similarity between two file names
 def sim_score(a, b):
@@ -11,12 +13,8 @@ def sim_score(a, b):
 
 
 class FashionDataset(object):
-    fashion_categories = json.load(open(r"app/service/outfit_matcher/config/fashion_categories.json", "r"))
-    fashion_categories_mapping = json.load(open(r"app/service/outfit_matcher/config/fashion_category_mapping.json", "r"))
-
-    # service debug
-    # fashion_categories = json.load(open(r"service/outfit_matcher/config/fashion_categories.json", "r"))
-    # fashion_categories_mapping = json.load(open(r"service/outfit_matcher/config/fashion_category_mapping.json", "r"))
+    fashion_categories = json.load(open(FASHION_CATEGORIES, "r"))
+    fashion_categories_mapping = json.load(open(FASHION_CATEGORIES_MAPPING, "r"))
 
     def __init__(self, item_metadata):
         self.item_metadat = item_metadata
diff --git a/app/service/outfit_matcher/outfit_evaluator.py b/app/service/outfit_matcher/outfit_evaluator.py
index 719ee03..ff8f9af 100644
--- a/app/service/outfit_matcher/outfit_evaluator.py
+++ b/app/service/outfit_matcher/outfit_evaluator.py
@@ -15,7 +15,7 @@ from app.service.utils.decorator import RunTime
 
 class OutfitMatcher(object):
     def __init__(self):
-        self.tritonclient = httpclient.InferenceServerClient(url="10.1.1.240:10010")
+        self.tritonclient = httpclient.InferenceServerClient(url=f"{OM_TRITON_IP}:{OM_TRITON_PORT}")
         self.minio_client = Minio(
             f"{MINIO_IP}:{MINIO_PORT}",
             access_key=MINIO_ACCESS,
diff --git a/logging_env.py b/logging_env.py
index 4de64de..0eb0fd6 100644
--- a/logging_env.py
+++ b/logging_env.py
@@ -1,3 +1,5 @@
+from app.core.config import LOGSPATH
+
 LOGGER_CONFIG_DICT = {
     "version": 1,
     "disable_existing_loggers": False,
@@ -15,7 +17,7 @@ LOGGER_CONFIG_DICT = {
             "class": "logging.handlers.RotatingFileHandler",
             "level": "INFO",
             "formatter": "simple",
-            "filename": "app/logs/info.log",
+            "filename": LOGSPATH,
             "maxBytes": 10485760,
             "backupCount": 50,
             "encoding": "utf8",
@@ -24,7 +26,7 @@ LOGGER_CONFIG_DICT = {
             "class": "logging.handlers.RotatingFileHandler",
             "level": "ERROR",
             "formatter": "simple",
-            "filename": "app/logs/errors.log",
+            "filename": LOGSPATH,
             "maxBytes": 10485760,
             "backupCount": 20,
             "encoding": "utf8",
@@ -33,7 +35,7 @@ LOGGER_CONFIG_DICT = {
             "class": "logging.handlers.RotatingFileHandler",
             "level": "DEBUG",
             "formatter": "simple",
-            "filename": "app/logs/debug.log",
+            "filename": LOGSPATH,
             "maxBytes": 10485760,
             "backupCount": 50,
             "encoding": "utf8",