# 使用Pycharm 來Remote Debugging Server Docker

## 0.需求情況
* ### 部屬時伺服器的Container Error遠端進去Debug較為方便
* ### Clone他人的docker images，因本機電腦記憶體不夠 於伺服器上運行測試
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## 1.安裝流程

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* ### 在遠端伺服器创建docker container
* ### 遠端伺服器的ssh配置
* ### Pycharm與遠端伺服器同步
* ### Pycharm配置遠端伺服器的編譯器
* ### 映射本地文件並開始編譯
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## 2.準備工作

### 1.Pycharm Professional版
* #### Professional版本才支援SSH連接

破解序號：
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### 2.Docker
### 3.Container裡面裝openssh-server

root@dd53ea4c2f2b:/# apt update && apt install openssh-server

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## 3.遠端伺服器的ssh配置
* 配置在docker container

$ sed -i 's/PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config  # 允許使用root登入
$ sed 's@session\s*required\s*pam_loginuid.so@session optional pam_loginuid.so@g' -i /etc/pam.d/sshd
$ echo "export VISIBLE=now" >> /etc/profile

* 重啟ssh服務

service ssh restart

* 檢查docker與遠端伺服器的端口映射

* # 此操作在遠端伺服器
$ docker port <your container name> 22
# 此操作查看遠端伺服器與container的端口映射

# 輸出結果如下
0.0.0.0:8022
# 表示只要ssh連接遠端伺服器端口8022，實際是連接docker container中的22端口

* 檢查是否能用ssh連進去剛剛的container

$ ssh root@<你服务器的ip地址> -p 8022

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## 4.Pycharm與遠端伺服器同步
### 1.配置SFTP
* 於Tools>Depolyment>Configuration中配置SFTP。

* 配置SFTP，點擊左上角的+號。選擇SFTP，根據自己的實際情況進行配置。

* 配置SFTP中的mapping

* 開啟自動上傳功能
Tools>Depolyment>Automatic Upload(always)

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## 5.Pycharm配置遠端伺服器的編譯器
* 1.打開pycharm，File->Settings->progect:[你的项目名字]->project interpreter->左上方小齒輪->Add
* 2.在打開的頁面選擇之前已經配置好的SFTP,並選擇Move

Create: 新建SFTP
Move: 將選擇的SFTP作為編譯器的SFTP
通常選擇Move就好

### 3.配置docker container的編譯器位置

## 6.映射本地文件並開始編譯
* 1.選擇Tools->Deployment->Browse Remote Host,就可以看到docker中的文件
* 
* 2.找到剛才設置的遠程映射路徑,如果路徑設對,文件會呈現為綠色,如下圖所示
* 3.我們右鍵綠色的文件夾,選擇Sync with local,他會掃描本地與遠端差異
* 因為只需要同步py文件，因此在Filter中輸入*.py之後,點擊綠色符號
* 4.完成