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1. (optional) create virtual env

   python -m venv venv
   source venv/bin/activate
   pip install -U pip
   
   

2. install fate_client

   # this step installs FATE-Pipeline, FATE-Flow CLI v2, and FATE-Flow SDK
   pip install fate_client
   pipeline init --help

3. configure server information

   # configure by conf file
   pipeline init -c pipeline/config.yaml
   # alternatively, input real ip address and port info to initialize pipeline
   # optionally, set log directory for Pipeline
   pipeline init --ip 127.0.0.1 --port 9380 --log-directory ./logs

4. upload data with FATE-Pipeline

   #  upload demo data to FATE data storage, optionally provide path to where deployed examples/data locates
   
   python demo/pipeline-upload.py --base /data/projects/fate

   If upload job is invoked correctly, job id will be printed to terminal and an upload bar is shown. If FATE-Board is available, job progress can be monitored on Board as well.

   UPLOADING:||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||100.00%
   2020-11-02 15:37:01.030 | INFO     | pipeline.utils.invoker.job_submitter:monitor_job_status:121 - Job id is 2020110215370091210977
   Job is still waiting, time elapse: 0:00:01
   Running component upload_0, time elapse: 0:00:09
   2020-11-02 15:37:13.410 | INFO     | pipeline.utils.invoker.job_submitter:monitor_job_status:129 - Job is success!!! Job id is 2020110215370091210977
   

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