splight-cli 4.11.0

Splight Command Line Interface

Splight CLI

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Table of Content

• Splight CLI
  • Table of Content
  • Introduction
  • Getting Started
    • Installation
    • Configuration
      • Create Developer Credentials
      • Configure Splight CLI
  • Commands
    • Component
    • Configure
    • Hub
      • Component
    • Engine
    • Workspace
  • Developing Components
    • What is a component?
    • Creating a Component
      • Component Core
      • Component Initialization
      • Component Configuration
      • Running Locally

Introduction

The Splight Command Line Interface is a unified tool to interact with Splight Platform. It contains different features that a user can use for creating, deloping, and publishing components.

Getting Started

Installation

SplightCLI is a Python package that can be installed using pip

pip install splight-cli

Once you have installed splight-cli you can check the installation with

splight --version

You should see something like

$ splight

Usage: splight [OPTIONS] COMMAND [ARGS]...

Options:
  --help  Show this message and exit.

Commands:
...

You can enable auto completions by running

splight --install-completion <SHELL>

where SHELL is either bash, zsh, fish, powershell, pwsh.

This will add commands at the bottom of your shell's dotfile (zsh example):

autoload -Uz compinit
zstyle ':completion:*' menu select
fpath+=~/.zfunc

If these do not work after restarting the shell, you can try adding

compinit -D

to the bottom of your shell's dotfile, in order to recreate the autocompletions file, and restarting again.

Configuration

Before using the Splight CLI, you need to configure it. In order to do it you need to create your User credentials from the platform and then you will be able to configure Splight CLI.

Create Developer Credentials

Go to the Splight Platform, and in your User Configuration > Account, in the right side pannel you will find the section Developers and the subsection Credentials. Under the Credentials subsection select “New access key”. This will generate a Client Access ID and Secret Key which are the credentials you will use for configuring Splight CLI. These credentials should not be share with other users.

Also, you need to keep in mind that the Secret Key is only shown once, if you loose the Key you will need to create a new set of Access Credentials.

Configure Splight CLI

The fastest and easiest way for configuring Splight CLI is running on your terminal the following command

splight configure

After entering the above command will ask you for the credentials you have created before.

Commands

This section introduce you to many of the common features and options provided by Splight CLI.

The tool contains a set of commands that can be used for different purposes. In the following subsections, we will go through each of the commands that can be used.

The basic usage is

splight <command> [--help]

where <command> is the command you want to use, and optionally you can add the flag --help to each one of the commands to get more information about the given command.

Component

This is probably the most important command and the one you will use most. The command component allow you to operate over components, this mean you can create components, test locally components, push private or public components to Splight Hub, download existing component in Splight Hub and delete them.

In the following section we will cover in details the development process of a component, here we will only cover the different sub-commands you can use

• Create a new component

  To create a new component the command is

  splight component create <name> -v <version> -p <path>
  

  The parameters <name> and <version> are the name and version of the component to be created, while the <path> parameter is the path of the directory where the component will be created. The three commands parameters <name> and <version> are commong between all the sub-commands.

  If no <path> is specified, you will find some files that defines the basic structure of the component source code in the same directory where the command was executed. If <path> is specified, then the files will be located in the specified path.

• Install component requirements

  The command

  splight component install-requirements <path>
  

  Where the parameter <path> is the path to the component that will be installed locally.

  This command is useful for running locally a component for testing and development.

• Run locally a component

  You can run locally a component, this is quite usefull for testing a comoponent before push it and for development a new component. The command is the following

  splight component run <path> [-r] [-rs]
  

  This command will run a component locally. Optionally you can use the flag -r/--reset-input, so you will be asked to configure some parameters for the component. If it is the first time you run a component, you will see some messages in the terminal for input some parameters values that are needed for running correctly the component. Also, you can use the flag -rs/--run-spec for using a custom configuration different to the one defined in the spec.json file. In the following section we will dive in in the usage of the file spec.json.

• Create component Readme

  As a component developer, you can generate a README.md file automatically using the command

  splight component readme <path> [-f]
  

  This way, based on the spec.json file the readme is generated and you don't need to care about basic descriptions like input, output, custom types and more.

Configure

This command is used for configuring Splight CLI and can be used as many times as you want.

The command is

splight configure

And it will prompt you to enter some pieces of information that needed by Splight CLI. This command is quite useful when is used along with workspace command.

You can also retrieve one of the parameters using the get command:

splight configure get <parameter>

for example for reading the SPLIGHT_PLATFORM_API_HOST:

splight configure get splight_platform_api_host

In the same way you can modify one parameter using the set command

splight configure set <parameter> <value>

Hub

This command allows you to interact with the Splight HUB, places where you can find all the existing components that can be used in the platform.

Component

• List component

  You can list all the components with the command

  splight hub component list
  

• Pull or download a component

  For downloading an existing component in Splight Hub you can use

  splight hub component pull <name> <version>
  

  This will download the component source code to your machine.

• Push a component

  For pushing a new component or component version to Splight Hub the command is

  splight hub component push <path>
  

  Where <path> is the path (relative or absolute) for the source code of the component to be uploded.

• List component versions

  You can also list all the version of given component with

  splight hub component versions <name>
  

Engine

The engine command is used for interacting with the Splight Engine. So far, the available subcommands provide an interface for creating, reaading and deleting resources in the engine.

The command is

splight engine <subcommand> <action> [extra args]

depending on the which sub-command you use you can get different actions to perform

The valid sub-commands so far are:

• asset
• attribute
• component
• datalake
• file
• graph
• query
• secret

Workspace

This command allows you to manage different workspaces in the same computer. This can be useful for managing different environments of different users that share the same computer.

The command is

splight workspace <sub-command>

The available subcommands are

• create <name> to create a new workspace. After the creation of a new worskpace you need to configure Splight CLI with splight configure.
• delete <name> to delete an existing workspace.
• list to list all workspaces. Current workspace displays a '*' to the left.
• select <name> to switch between different configured workspaces.
• show <name> to display the contents of an existing workspace.

Developing Components

Now it's time to talk about the process for developing components.

What is a component?

A component is a package of code that can be executed in the Splight platform. Splight Hub is the space that manages all components that exist in Splight. You can upload your own coded component for your usability or even allow other people in Splight to use it!

The expected flow for your component is the following:

• You create your component and code it locally
• Upload it to Splight Hub
• Use your component in Splight, where all your data is available

Creating a Component

To create a component with the Splight Hub CLI, open a terminal and change the directory to the one where you want to work.

Execute the following command:

splight component create <name> <version>

This will create a directory with the following structure:

<name>-<version>
│   __init__.py
│   Initialization
│   spec.json
│   README.md

• __init__.py : The component is coded here.
• Initialization : Execute instructions for the component to be initialized.
• spec.json : JSON file where the component metadata is set.
• README.md : Text that describes the component and how it works

Component Core

When creating a component, inside __init__.py you will find a component template already written in python for you, in order to make it easier to write the component code.

For example, when you create an algorithm component, in __init__.py will have the following:

import random

from splight_lib import logging
from splight_lib.component.abstract import AbstractComponent
from splight_lib.execution import Task

from splight_models import Variable


logger = logging.getLogger()


class Main(AbstractComponent):

    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
        logger.info("It worked!")

    def start(self):
        # To start a periodic function uncomment this
        self.execution_client.start(
            Task(
                handler=self._my_periodic_function,
                args=tuple(),
                period=self.period
            )
        )

    def _my_periodic_function(self):
        logger.info("It worked!")
        # To ingest in datalake uncomment the following
        args = {
            "value": chosen_number,
        }
        self.datalake_client.save(
            Variable,
            instances=[Variable(args=args)],
            collection=self.collection_name
        )

The component class must always be called Main and must inherit from one of splight_lib abstract component classes. Also, super() init must be called. The execution of the component starts when the method start() is called, so the method should be implemented by the developer that is writting the component. Also, we provide you a lot of useful functions in our package so you can use them to interact with the platform and make better components

Component Initialization

In the case you need some previous steps to be run before the component is executed, you can use the file Initialization. When you create your component with Splight Hub, Initialization will have the following:

RUN pip install splight-lib==<some lib version>

This command will be run before the component is executed. You can add more lines like this, or maybe even create a requirements.txt file in the component directory and just leave Initialization as:

RUN pip install -r requirements.txt

Component Configuration

The file spec.json defines all the specification for the component, in this file you will find generic information about the component like the name and version but also you will find the input and output parameters.

The structure of the file spec.json is the following

{
  "name": "component_name",
  "version": "component_version",
  "tags": ["tag1", "tag2"],
  "custom_types": [],
  "input": [],
  "output": []
}

A component can have different inputs and outputs that are previously defined, these parameters can any or primite Python types like str, int, float, bool or file, can also take the value of any Splight parameter like Asset, Attribute, Component, Mapping, Query, but also can be custom type defined in the "custom_types" key. A parameter have the structure

{
  "name": <name>,
  "type": <type>,
  "required": <required>,
  "value": <value>
}

and also accepts the key "multiple" with true or false value to specify if the parameter can take multiple value that is parsed as a list when the component is running.

A custom type is defined by the following format

{
  "name": "<custom_type_name",
  "fields": [
    {
      "name": "<name>",
      "type": "<type>",
      "required": "<required>",
      "multiple": "<multiple>",
      "value": "<value>"
    }
  ]
}

Then the custom type can be used as input or output. For example, we create a custom type:

{
  "name": "AssetAttribute",
  "fields": [
    {
      "name": "asset",
      "type": "Asset",
      "required": true,
      "multiple": false
    },
    {
      "name": "attribute",
      "type": "Attribute",
      "depends_on": "asset",
      "required": true,
      "multiple": false
    }
  ]
}

So we can use it as follows

{
    "name": "CustomTypeVar",
    "type": "AssetAttribute",
    "required": true,
    "multiple": false,
    "value": [
        {
            "name": "asset",
            "type": "Asset",
            "required": true,
            "multiple": false,
            "value": <asset_id>
        },
        {
            "name": "attribute",
            "type": "Attribute",
            "required": true,
            "multiple": false,
            "value": <attribute_id>
        }
    ]
}

This is just an example but you can create custom types as complex as you want, the limit is your imagination.

Running Locally

You can run the component locally before pushing it to the platform with the --local option:

splight component run <component directory> --local

This way, the component will run using local clients for database and datalake. This is extremely useful for development since you can create instances of the different database objects in the local database for running different scenearios or differents tests. The same can be applied for datalake data, the local client stores the data in files. In both cases, for database and datalake, the files are created in the same directory as the __init__.py file of the component, so you can modified it based on your needs.

You can interact with the local databases using the library, for example

from splight_models import Asset, Attribute, Number
from splight_lib.client.database import LocalDatabaseClient
from splight_lib.client.datalake import LocalDatalakeClient


component_path = ...
db_client = LocalDatabaseClient(namespace="default", path=component_path)
dl_client = LocalDatalakeClient(namespace="default", path=component_path)

all_assets = db_client.get(Asset)
attribute = Attribute(name="SomeAttribute")

db_client.save(attribute)

df = client.get_dataframe(Number, asset=all_assets[0].id, attribute=attribute.id)