use poetry as python dependencies tool

en/getting-started/install-self-hosted/local-source-code.md

@@ -33,26 +33,28 @@ docker compose -f docker-compose.middleware.yaml up -d
 
 #### Installation of the basic environment:
 
-Server startup requires Python 3.10.x. It is recommended to use [Anaconda](https://docs.anaconda.com/free/anaconda/install/) for quick installation of the Python environment, which already includes the pip package management tool.
+Server startup requires Python 3.10.x. It is recommended to use [pyenv](https://github.com/pyenv/pyenv) for quick installation of the Python environment.
 
-To create a Python 3.10 environment named "dify," you can use the following command:
+To install additional Python versions, use pyenv install.
 
 ```Bash
-conda create --name dify python=3.10
+pyenv install 3.10
 ```
 
-To switch to the "dify" Python environment, use the following command:
+To switch to the "3.10" Python environment, use the following command:
 
-```
-conda activate dify
+```Bash
+pyenv global 3.10
 ```
 
 #### Follow these steps :
 
 1.  Navigate to the "api" directory:
 
-    <pre><code><strong>cd api
-    </strong></code></pre>
+    ```
+    cd api
+    ```
+
 2.  Copy the environment variable configuration file:
 
     ```
@@ -64,16 +66,25 @@ conda activate dify
     openssl rand -base64 42
     sed -i 's/SECRET_KEY=.*/SECRET_KEY=<your_value>/' .env
     ```
+
 4.  Install the required dependencies:
 
-    <pre><code><strong>pip install -r requirements.txt
-    </strong></code></pre>
+    Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. You can execute `poetry shell` to activate the environment.
+
+    ```
+    poetry env use 3.10
+    poetry install
+    ```
+
 5.  Perform the database migration
 
     Perform database migration to the latest version:
 
-    <pre><code><strong>flask db upgrade
-    </strong></code></pre>
+    ```
+    poetry shell
+    flask db upgrade
+    ```
+
 6.  Start the API server:
 
     ```
@@ -97,13 +108,13 @@ conda activate dify
     To consume asynchronous tasks from the queue, such as dataset file import and dataset document updates, follow these steps to start the Worker service on Linux or macOS:
 
     ```
-    celery -A app.celery worker -P gevent -c 1 -Q dataset,generation,mail --loglevel INFO
+    celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace
     ```
 
     If you are using a Windows system to start the Worker service, please use the following command instead:
 
     ```
-    celery -A app.celery worker -P solo --without-gossip --without-mingle -Q dataset,generation,mail --loglevel INFO
+    celery -A app.celery worker -P solo --without-gossip --without-mingle -Q dataset,generation,mail,ops_trace --loglevel INFO
     ```
 
     output:

zh_CN/getting-started/install-self-hosted/local-source-code.md

@@ -32,13 +32,19 @@ docker compose -f docker-compose.middleware.yaml up -d
 
 #### 安装基础环境
 
-服务端启动需要使用到 Python 3.10.x，推荐使用 [Anaconda](https://docs.anaconda.com/free/anaconda/install/) 来快速安装 Python 环境，内部已包含 pip 包管理工具。
+服务器启动需要 Python 3.10.x。建议使用 [pyenv](https://github.com/pyenv/pyenv) 快速安装 Python 环境。
+
+要安装其他 Python 版本，请使用 `pyenv install`。
 
 ```Bash
-# 创建名为 dify 的 Python 3.10 环境
-conda create --name dify python=3.10
-# 切换至 dify Python 环境
-conda activate dify
+pyenv install 3.10
+```
+
+要切换到 "3.10" Python 环境，请使用以下命令:
+
+
+```Bash
+pyenv global 3.10
 ```
 
 #### 启动步骤
@@ -61,14 +67,19 @@ conda activate dify
     ```
 4.  安装依赖包
 
+    Dify API 服务使用 [Poetry](https://python-poetry.org/docs/) 来管理依赖。您可以执行 `poetry shell` 来激活环境。
+
     ```
-    pip install -r requirements.txt
+    poetry env use 3.10
+    poetry install
     ```
+
 5.  执行数据库迁移
 
     将数据库结构迁移至最新版本。
 
     ```
+    poetry shell
     flask db upgrade
     ```
 6.  启动 API 服务
@@ -94,13 +105,13 @@ conda activate dify
     用于消费异步队列任务，如数据集文件导入、更新数据集文档等异步操作。 Linux / MacOS 启动：
 
     ```
-    celery -A app.celery worker -P gevent -c 1 -Q dataset,generation,mail --loglevel INFO
+    celery -A app.celery worker -P gevent -c 1 -Q dataset,generation,mail,ops_trace --loglevel INFO
     ```
 
     如果使用 Windows 系统启动，请替换为该命令：
 
     ```
-    celery -A app.celery worker -P solo --without-gossip --without-mingle -Q dataset,generation,mail --loglevel INFO
+    celery -A app.celery worker -P solo --without-gossip --without-mingle -Q dataset,generation,mail,ops_trace --loglevel INFO
     ```
 
     正确输出：