-# Quickstart
+# Overview
-The `dcae-cli` is a Python command-line tool built to aide component developers with the development and testing of their micro-service component for the DCAE platform. It will help developers do functional and integration testing of their components locally and on remote environments as simple as possible.
+The `dcae-cli` is a Python command-line tool for component developers. With it, the developer can :
-The tool requires the component developers to create a valid component specification for their component which is used by the tool. This same component specification will be published in the [onboarding catalog](../../glossary#onboarding-catalog) at the end of development and testing.
+* validate the data formats and component specifications
+* publish the validated data formats and component specifications into the `onboarding catalog`
+* access the `onboarding catalog` to search for existing data formats (for possible reuse) and component specs
+* deploy a component onto a local or remote DCAE platform for functional and pair-wise testing (This is done without Cloudify)
-The git repository can be found [here](ONAP LINK TBD)
+The git repository for the dcae_cli tool can be found [here](https://codecloud.web.att.com/projects/ST_DCAECNTR/repos/dcae-cli/browse)
-## Pre-requisite
+## Pre-requisites
### For Docker
-There are two options for development with Docker: developing locally on your machine which requires Docker to be installed and developing remotely by deploying onto remote infrastructure.
+There are two options for development with Docker:
#### For local development
-* You must install [Docker engine](https://docs.docker.com/engine/installation/) locally on your machine.
-* You must know the *external ip* of where the Docker engine is running. The external ip is needed so that service discovery will wire up correctly.
- - For OSX users, this means making sure the VirtualBox VM that is running your Docker engine has a bridged adapter and getting the ip of that adapter.
+* Install [Docker engine](https://docs.docker.com/engine/installation/) locally on your machine.
+* Know the *external ip* of where the Docker engine is running. The external ip is needed so that service discovery will connect to it.
+ - *(For OSX users, this means making sure the VirtualBox VM that is running your Docker engine has a bridged adapter and getting the ip of that adapter).*
#### For remote development
-You need access to a remote host with Docker engine installed with remote API access. You must have the associated connection information: domain name or IP and port (should be either 2375 or 2376). This information should be set in [an active profile](walkthrough.md#setting-profile).
+* Have access to a remote host with Docker engine installed and with remote API access.
+* Have the associated connection information:
+ - domain name or IP and port (port should be either 2375 or 2376). Use this information to establish an active [profile](/components/dcae-cli/commands#activate-a-profile).
### For CDAP
-TBD
+None at this time.
-## Install
+### Python, Pip, Virtualenv
+
+Install python, pip (9.0.1 or higher), and virtualenv if they are not installed. Do these when not in a VPN to avoid possible network issues.
+
+```
+ sudo apt-get -f install python
+ sudo apt-get -f install python-pip
+ sudo pip install virtualenv
+```
+
+Set up a virtual environment and activate
```
-pip install --extra-index-url https://YOUR_NEXUS_PYPI_SERVER/simple dcae-cli
+ virtualenv cli_tool
+ source cli_tool/biin/activate
```
-To do an upgrade, use the `--upgrade` flag.
+## Install dcae_cli
+
+```
+pip install --extra-index-url https://nexus01.research.att.com:8443/repository/solutioning01-mte2-pypi/simple dcae-cli
+```
-### Configuration
+## Check dcae_cli version
-When you run the tool for the first time, the tool will create a [configuration directory](http://click.pocoo.org/5/api/#click.get_app_dir) and generate a configuration file.
+You can verify the version of the dcae-cli with the following command. To get the latest version of the dcae_cli tool,
-Configuration is first sourced from an remote server that the platform team manages. This is overlaid with configuration details that you will be prompted to input particularly your user id.
+```
+$ dcae_cli --version
+```
-#### `--reinit`
+## Upgrade dcae_cli
-Configuration can be re-initialized or reset. There is a `--reinit` flag that is to be used to re-initialize your configuration and your environment profiles.
+Periodically, upgrade the dcae_cli to get the latest version
+
+```
+pip install --upgrade --extra-index-url https://nexus01.research.att.com:8443/repository/solutioning01-mte2-pypi/simple dcae-cli
+```
+
+## Configuration
+
+When running the tool for the first time, a [configuration directory](http://click.pocoo.org/5/api/#click.get_app_dir) and configuration file will be created.
+
+The configuration is first sourced from a remote server that is managed by the platform team. You will be prompted to enter your ATTUID to complete this process.
+
+### Re-initializing Configuration
+
+Configuration can be re-initialized or reset. There is a `--reinit` flag that is to be used to re-initialize your configuration and your environment profiles. You may be instructed to re-initialize after certain updates are made to the dcae_cli tool. When you re-initialize the configuration, your configuration will be added to or updated from the platform configuration and profiles. No profiles will be deleted via the reinit process.
To re-initialize:
$ dcae_cli --reinit
```
-### Verify
+## Verify Installation
-Verify that its installed:
+To Verify that the dcae_cli tool is installed, run the following command and look for the output below.
```
$ dcae_cli --help
data_format
profiles
```
-## Version
-
-You can verify the version of the dcae-cli with the following command:
-```
-$ dcae_cli --version
-```
+Refer to [dcae_cli Commands](/components/dcae-cli/commands).
Code Review / dcaegen2.git / blobdiff