cwstorm 0.2.0

Core functionality for Conductor's client tools

Storm

Storm is a Python DSL to generate a graph of task dependencies.

Install

For development, it's best to install in editable mode in a virtual environment.

> git clone [e-mail]/ConductorTechnologies/cwstorm.git
> cd cwstorm

# Create a virtual environment
> python3 -m venv cwstorm.venv
> . cwstorm.venv/bin/activate

# Install in editable mode
> pip install -e .

# Optionally install the black formatter and some other dev tools
> pip install -r requirements.txt

Quick Start CLI

Serialize

Use the storm CLI command to serialize one of the example jobs. The pretty option generates human readable JSON output. The filename will be the same as the example but with a .json extension, and will be placed in the folder you specify.

> storm serialize -x simple_qt -f pretty ~/Desktop/graphs/
> cat ~/Desktop//graphs/simple_qt.json

Validate

Validate a JSON file with the validate subcommand.

> storm validate /path/to/my_graph.json

You'll see a report in a browser window.

You can output the report to markdown if you prefer. Here's an example validation report

In order to validate a graph, the storm command loads the JSON file into a dict, and then uses the DSL to reconstruct the graph. The code to reconstruct the graph from a dict is in deserializer.py.

You can bypass the validation and pass a dict directly to the deserializer to get a job.

from cwstorm.deserializer import deserialize

with open(infile, "r", encoding="utf-8") as fh:
    data = json.load(fh)
  
job = deserialize(data)

print("name", job.name())
print("comment", job.comment())
print("num_tasks", job.count_descendents())

Visualize

You can visualize graphs in the desktop app: https://github.com/ConductorTechnologies/cioapp

Once the app is running you can send a workflow through it's HTTP server which runs on port 3031.

curl -X POST http://localhost:3031/graph -H "Content-Type: application/json" -d @/path/to/my_graph.json 

Command-line interface

The command-line interface has one subcommand, serialize. It creates the argument parser dynamically based on the available examples and serializers.

storm serialize --help

Examples

The ass_comp_normal.py example is a more complex script. It builds a graph of tasks that uploads assets, generates ass files, renders them, adds optical motion blur, makes a quicktime, and notifies people.

DSL Structure

A graph consists of dag nodes with attributes. Look through the examples folder to familiarize yourself with the API. All classes derive from Node.

Node

The base class. Responsible for generating getters and setters for different attributes. The idea is to have a consistent language to build the DAG, add options to nodes, and to quickly see how the graph will look. See the ATTRS lists in Job, Task, Upload, and Cmd. The types of attributes that can be added to nodes are:

• int
• str
• dict
• Cmd
• list of int
• list of str
• list of Cmd

Setters return self, which allows for chaining.

Getters and setters are generated are as follows for Attribute name atr of Node n:

int

• Setter: n.atr(value) -> self
• Getter n.atr() -> int

str

• Setter: n.atr(value) -> self
• Getter n.atr() -> str

dict

• Setter: n.atr({"key": "VAL", ...}) -> self
• Updater n.update_atr({"key2": "VAL2", ...}) -> self
• Getter n.atr() -> dict

Cmd

• Setter: n.atr(Cmd(*args)) -> self
• Getter n.atr() -> Cmd

list:int

• Setter: n.atr(*args) -> self
• Extender n.push_atr(*args) -> self
• Getter n.atr() -> list of int

list:str

• Setter: n.atr(*args) -> self
• Extender n.push_atr(*args) -> self
• Getter n.atr() -> list of str

list:Cmd

• Setter: n.atr(Cmd(*args), Cmd(*args), ...) -> self
• Extender n.push_atr(Cmd(*args), Cmd(*args), ...) -> self
• Getter n.atr() -> list of Cmd

list:dict

• Setter: n.atr({"key": "VAL", ...}, {"key": "VAL", ...}, ...) -> self
• Extender n.push_atr({"key": "VAL", ...}, {"key": "VAL", ...}, ...) -> self
• Getter n.atr() -> list of dict

For inherited nodes, see the current spec

Changelog

Version:0.2.0 -- 24 May 2024

• Auto ducument validation and schema (spec)
• Adds output_path, packages, and preemptible to Tasks
• allow MD5s in the files dict for Uploads
• Removes relative counts, since this should happen in the composer
• CLI has a shortcut to output all examples to a folder
• Remove unused serializers and commandline flag

Version:0.1.1 -- 23 Jan 2024

• Schema tweaks
• • Remove environment from job
• • Remove cleanup from all nodes
• • Add upload node type
• • Add lifecycle property to tasks

Unreleased:

• 0.0.1-beta.1
  • Initial CICD setup

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