Python Script

Scripts are the basic building blocks in getOperate. They can be run and scheduled as standalone, chained together to create Flows or displayed with a personalized User Interface as Apps.

Scripts consist of 2 parts:

  • Code: for Python scripts, it must have at least a main function.
  • Settings: settings & metadata about the Script such as its path, summary, description, jsonschema of its inputs (inferred from its signature).

When stored in a code repository, these 2 parts are stored separately at <path>.ts and <path>.script.yaml

This is a simple example of a script built in Python with getOperate:

#import getOperate
import nltk
from nltk.sentiment import SentimentIntensityAnalyzer
nltk.download("vader_lexicon")

def main(text: str = "Wow, NLTK is really powerful!"):
    return SentimentIntensityAnalyzer().polarity_scores(text)

In this quick start guide, we’ll create a script that greets the operator running it.

From the Home page, click +Script. This will take you to the first step of script creation: Metadata.

Settings

As part of the settings menu, each script has metadata associated with it, enabling it to be defined and configured in depth.

  • Path is the Script’s unique identifier that consist of the script’s owner, and the script’s name. The owner can be either a user, or a group (folder).
  • Summary (optional) is a short, human-readable summary of the Script. It will be displayed as a title across getOperate. If omitted, the UI will use the path by default.
  • Language of the script.
  • Description is where you can give instructions through the auto-generated UI to users on how to run your Script. It supports markdown.
  • Script kind: Action (by default), Trigger, Approval or Error Handler. This acts as a tag to filter appropriate scripts from the flow editor.

This menu also has additional settings, such as:

  • Concurrency limits enable defining concurrency limits for scripts and inline scripts within flows to prevent exceeding the API Limit of the targeted API.
  • Worker group tag to assign scripts to specific worker groups (such as nodes with GPU accelaration).
  • Cache to cache the results for each possible inputs for a given time.
  • Dedicated Workers to run the script on, to run the script at native speed. Only available on enterprise edition and for the Bun language.

Settings

Each script has metadata & settings associated with it, enabling it to be defined and configured in depth.

Now click on the code editor on the left side, and let’s build our Hello World!

Code

We provides an online editor to work on your Scripts. The left-side is the editor itself. The right-side previews the UI that getOperate will generate from the Script’s signature - this will be visible to the users of the Script. You can preview that UI, provide input values, and test your script there.

As we picked python for this example, We provided some python boilerplate. Let’s take a look:

import os
import getOperate

# You can import any PyPi package. 

# you can use typed resources by doing a type alias to dict
#postgresql = dict

def main(
    no_default: str,
    #db: postgresql,
    name="Nicolas Bourbaki",
    age=42,
    obj: dict = {"even": "dicts"},
    l: list = ["or", "lists!"],
    file_: bytes = bytes(0),
):

    print(f"Hello World and a warm welcome especially to {name}")
    print("and its acolytes..", age, obj, l, len(file_))

    # retrieve variables, resources, states using the getOperate client
    try:
        secret = getOperate.get_variable("f/examples/secret")
    except:
        secret = "No secret yet at f/examples/secret !"
    print(f"The variable at `f/examples/secret`: {secret}")

    # Get last state of this script execution by the same trigger/user
    last_state = getOperate.get_state()
    new_state = {"foo": 42} if last_state is None else last_state
    new_state["foo"] += 1
    getOperate.set_state(new_state)

    # fetch context variables
    user = os.environ.get("GO_USERNAME")

    # return value is converted to JSON
    return {"splitted": name.split(), "user": user, "state": new_state}

Scripts need to have a main function that will be the script’s entrypoint. There are a few important things to note about the main.

  • The main arguments are used for generating
    • the input spec of the Script
    • the frontend that you see when running the Script as a standalone app.
  • Type annotations are used to generate the UI form, and help pre-validate inputs. While not mandatory, they are highly recommended. You can customize the UI in later steps (but not change the input type!).

JSON Schema and Parsing

JSON Schemas are used for defining the input specification for scripts and flows, and specifying resource types.

The last import line imports the client, which is needed for example to access variables or resources.

Back to our Hello World. We can clean up unused import statements, change the main to take in the user’s name. Let’s also return the name, maybe we can use this later if we use this Script within a flow or app and need to pass its result on.

def main(name: str):
  print("Hello world. Oh, it's you {}? Greetings!".format(name))
  return name

Instant Preview & Testing

Look at the UI preview on the right: it was updated to match the input signature. Run a test (Ctrl + Enter) to verify everything works.

You can change how the UI behaves by changing the main signature. For example, if you add a default for the name argument, the UI won’t consider this field as required anymore.

main(name: str = "you")

Instant Preview & Testing

On top of its integrated editors, We allows users to see and test what they are building directly from the editor, even before deployment.

Now let’s go to the last step: the “Generated UI” settings.

Customize UI

From the Settings menu, the “Generated UI” tab lets you customize the script’s arguments.

The UI is generated from the Script’s main function signature, but you can add additional constraints here. For example, we could use the Customize property: add a regex by clicking on Pattern to make sure users are providing a name with only alphanumeric characters: ^[A-Za-z0-9]+$. Let’s still allow numbers in case you are some tech billionaire’s kid.

Run!

We’re done! Now let’s look at what users of the script will do. Click on the Deploy button to load the script. You’ll see the user input form we defined earlier.

Note that Scripts are versioned in getOperate, and each script version is uniquely identified by a hash

Fill in the input field, then hit “Run”. You should see a run view, as well as your logs. All script runs are also available in the Runs menu on the left.

You can also chose to run the script from the CLI with the pre-made Command-Line Interface call.

Triggering Scripts

Trigger flows on-demand, by schedule or on external events.

What’s next?

This script is a minimal working example, but there’s a few more steps that can be useful in a real-world use case:

Scripts are immutable and there is an hash for each deployment of a given script. Scripts are never overwritten and referring to a script by path is referring to the latest deployed hash at that path.

Versioning

Scripts, when deployed, can have a parent script identified by its hash.

For each script, a UI is autogenerated from the jsonchema inferred from the script signature, and can be customized further as standalone or embedded into rich UIs using the App builder.

In addition to the UI, sync and async webhooks are generated for each deployment.

Webhooks

Trigger scripts and flows from webhooks.