Leanda命令行界面
leanda的Python项目详细描述
Leanda CLI公司
Leanda命令行界面（CLI）旨在安装在用户计算机上，并将作为Leanda平台的另一个“客户端”。在
快速启动
通过pip安装leanda cli：
pip install leanda
运行帮助命令：
^{pr2}$对于下一个命令，您需要设置下一个环境变量：
WEB_API_URL、WEB_STORAGE_API_URL和{
登录Leanda：
leanda login -u my_name -p my_password
获取类别列表：
leanda categories
运行livesync命令：
leanda livesync -l ./leanda-sync-folder
./leanda-sync-folder是本地文件夹路径。在
命令摘要
| Command | Usage |
|---|---|
| ^{ | Allows to login and store the update session information for an Leanda user. |
| ^{ | Check authorization and explore session data. |
| ^{ | Do logout. Session data is removed. |
| ^{ | Identify current Leanda working directory. |
| ^{ | Change Leanda's current working directory. |
| ^{ | Browse remote Leanda folder. |
| ^{ | Allows to remove file or folder. |
| ^{ | Allows uploading a local file into the BLOB (raw file) store. |
| ^{ | Allows to download an Leanda file. |
| ^{ | Two-way synchronization of local folder with the Leanda user's folder. |
| ^{ | Allows to list all items from Leanda using queries. |
| ^{ | Allows to list models from Leanda using queries. |
| ^{ | Allows to list recordsets from Leanda using queries. |
| ^{ | Allows to run Machine Learning command train. |
| ^{ | Allows to run Machine Learning command predict. |
| ^{ | Allows to initialize category tree with basic structure. |
登录
允许登录和重置Leanda用户的会话信息。在
login
的参数
-u, --username your leanda username.
-p, --password your leanda password
-v, --verbosity set verbosity level.
示例：
leanda login -u<user-name> -p<password> leanda login --verbosity -u<user-name> -p<password> leanda login -v -u<user-name> -p<password> leanda login -vv -u<user-name> -p<password> leanda login -u<user-name> -p Password:
哇哦
检查授权并浏览会话数据。在
whoami
的参数
-v, --verbosity set verbosity level.
示例：
leanda whoami --verbosity leanda whoami -vv leanda whoami -vvv
注销
注销。会话数据已删除。在
logout
的参数
无参数
示例：
leanda logoutpwd公司
标识当前Leanda工作目录。在
pwd
的参数
-v, --verbosity set verbosity level.
示例：
leanda pwd leanda pwd --verbosity leanda pwd -vv leanda pwd -vvv
ls公司
浏览远程Leanda文件夹。在
ls
的参数
container - Remote Leanda user's folder or none for current working folder. Leanda user's folder can be choosed by its full id system wide or by substring for subfolders in current folder. Substring compared to folder name starting from the beggining or to folder id ending. -s, --size - Report page length (default value 10) -p, --page - Report page number (default value 1)
示例：
leanda ls c1cc0000-5d8b-0015-e9e3-08d56a8a2e01 leanda ls 2e01 leanda ls -p10 leanda ls -s20 -2
光盘
更改Leanda当前的工作目录。在
cd
的参数
container - Remote Leanda user's folder, none for home folder or '..' for parent folder. Leanda user's folder can be choosed by its full id system wide or by substring for subfolders in current folder. Substring compared to folder name starting from the beggining or to folder id ending.
示例：
leanda ls
File
33.mol Records(1) Processed c1cc0000-5d8b-0015-e9e3-08d56a8a2e01
combined lysomotroph Records(55) Processed 00160000-ac12-0242-c20e-08d56e29a481
leanda cd33
leanda cd a481
leanda cd
leanda cd ..
leanda cd c1cc0000-5d8b-0015-e9e3-08d56a8a2e01
林吉特
允许删除文件或文件夹
rm
的参数
container - Remote Leanda user's folder. Leanda user's folder can be choosed by its full id system wide or by substring for subfolders in current folder. Substring compared to folder name starting from the beggining or to folder id ending.
示例：
leanda rm a481 leanda rm abc leanda rm c1cc0000-5d8b-0015-e9e3-08d56a8a2e01
上传
允许将本地文件上载到BLOB（原始文件）存储区。在
upload
的参数
container - Remote Leanda user's folder, none for working folder. Leanda user's folder can be choosed by its full id system wide or by substring for subfolders in current folder. Substring compared to folder name starting from the beggining or to folder id ending. -p, --path - path to local file -n, --name - name for file -m, --meta - path to model description in json or yaml formats -v, --verbosity set verbosity level.
示例：
leanda upload -p path-to-file
leanda upload -p path-to-file1 -p path-to-file2 -p path-to-file3
leanda upload -p path-to-file -n new-name to file 'filename'
leanda upload -p path-to-file -m path-to-model.json
leanda upload -p path-to-file -m path-to-model.yaml
下载
允许下载远程文件到本地主机。在
download
的参数
^{pr21}$
示例：
leanda upload abc -o path-to-file leanda upload a481 -f -o path-to-file1 leanda upload c1cc0000-5d8b-0015-e9e3-08d56a8a2e01 -o path-to-file
实时同步
本地文件夹与Leanda用户文件夹的双向同步。基于文件名比较文件夹。要获得更精确的比较，请参见-ul和-ur键。在
-l, --local-folder - Path to local folder or none for current working directory -r, --remote-folder - Remote Leanda user's folder or none for current working folder. Leanda user's folder can be choosed by its full id system wide or by substring for subfolders in current folder. Substring compared to folder name starting from the begining or to folder id ending. -ul, --update-local - Compare by name and Leanda file's version -ur, --update-remote - Compare by name and last modification time.
示例：
leanda livesync -l abc -r c1cc0000-5d8b-0015-e9e3-08d56a8a2e01 leanda livesync -l /path/to/folder -f -r 2e01 -ul leanda livesync -ur
项目
允许使用查询列出Leanda中的所有项目。在
-q, --query - Filter models by subquery
-n, --name - Filter models by substring
-s, --short-notation
- Path to yaml file with list of short notations
Example - p.radius:MachineLearningModelInfo.Fingerprints.Radius
-v,--verbosity =0
- Set verbosity level.
-v - display query string,
-vv - display records,
-f, --format =(json|yaml)
- Set model verbosity output format
示例：
leanda items leanda items -v leanda items -vv leanda items -n png leanda items -q "SubType eq 'Model' and MachineLearningModelInfo.Method eq 'Naive Bayes'" -vv -f json leanda items -q "type=Model,prop.chem=MOST_ABUNDANT_MASS,prop.fields=logs" -s sample_files/short_notations.yaml leanda items -q "SubType eq 'Model' and MachineLearningModelInfo.Fingerprints.Size gt 200" -vv -f yaml
模型
允许使用查询列出Leanda中的模型。与items相同，但添加预设过滤器SubType eq 'Model'
示例：
leanda models leanda models -v leanda models -vv leanda items -n ada leanda models -q "MachineLearningModelInfo.Method eq 'Naive Bayes'" -vv -f json leanda models -q "type=Model,prop.chem=MOST_ABUNDANT_MASS,prop.fields=logs" -s sample_files/short_notations.yaml leanda models -q "MachineLearningModelInfo.Fingerprints.Size gt 200" -vv -f yaml
记录集
允许使用查询列出Leanda中的记录集。与items相同，但添加预设过滤器SubType eq 'Records'
示例：
leanda recordsets leanda recordsets -v leanda recordsets -vv leanda recordsets -n combined leanda recordsets -q "MachineLearningModelInfo.Method eq 'Naive Bayes'" -vv -f json leanda recordsets -q "type=Model,prop.chem=MOST_ABUNDANT_MASS,prop.fields=logs" -s sample_files/short_notations.yaml leanda recordsets -q "MachineLearningModelInfo.Fingerprints.Size gt 200" -vv -f yaml
火车
允许运行机器学习命令行。在
container - Remote Leanda user's folder, none for working folder. Leanda user's folder can be choosed by its full id system wide or by substring for subfolders in current folder. Substring compared to folder name starting from the beggining or to folder id ending. -m, --meta - Model metadata in json or yaml formats -f, --folder-name - Output folder name
示例：
leanda train 00130000-ac12-0242-0f11-08d58dbc7b8b -f test1.model -m sample_files/train_sdf_model.yaml
leanda train 08d58dbc7b8b -f test2.model -m sample_files/train_sdf_model.yaml
leanda train b data_solubility.sdf -f test3.model -m sample_files/train_sdf_model.yaml
leanda train data_solubility.sdf -f test4.model -m sample_files/train_sdf_model.yaml
leanda train data_solu -f test5.model -m sample_files/train_sdf_model.yaml
预测
允许运行机器学习命令预测。在
^{pr31}$示例：
leanda predict -f folder.predict -m 7ceef61a-cf7d-41d9-a1f0-19874a2b31e9 -r 000e0000-ac12-0242-36bb-08d585329c5a
类别
允许使用基本结构初始化类别树。在
-rm, --remove - Remove all categories -i, --init - Initialize categories from categories.json file data
示例：
leanda categories #get list of categories
leanda categories -rm
leanda categories -i
- 项目
标签：
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