Skip to main content

Data analysis framework to log operations and interface with MongoDB.

Project description

# Kaiju

Kaiju is a framework for data analaysis applications. A Kaiju application contains a set of operations, which correspond to Python methods in your code. Kaiju offers three main features:

  • Automatic command-line parsing configuration.

  • Logging of operation executions.

  • MongoDB interfacing.

This simplifies your research work by automatically documenting your analyses and storing their results, making it easy for you to document and reproduce your work. Kaiju also stimulates you to work from the system shell instead of from within Python, so your application is a stand-alone program from the moment you start building it, and not just a Python module that you are always struggling to integrate to another system.

## Usage

Create a kaiju.Kaiju object with the desired configuration, and use the __call__ to decorate your operation methods.

Kaiju depends on pymongo for interacting with MongoDB.

## Kaiju axioms

A Kaiju application is defined by a Kaiju object, an instance from the Kaiju class.

A Kaiju application contains a set of operations.

Each Kaiju operation is a method from your Python code that was decorated by the Kaiju object.

These operations can consume and produce data. The consumed data are the method arguments, and the output data is whatever the method returns. Operations typically output lists, or generators, and Kaiju iterates over this output.

The output from a non-logged operation is simply sent to stdout.

The output from a logged operation is stored in MongoDB, in the collection specified by the decorator argument output. Each element from this output becomes a separate record in the collection.

A logged operation outputs a maker_id code, which is the _id assigned to this operation execution in the Kaiju log.

You can specify different types for the operation inputs using the classes from the kaiju.arguments submodule.

The Data input class lets you fetch data from the database. The argument receives a maker_id and outputs to the underlying operation method a generator for corresponding data.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kaiju-0.1.0.tar.gz (8.6 kB view details)

Uploaded Source

File details

Details for the file kaiju-0.1.0.tar.gz.

File metadata

  • Download URL: kaiju-0.1.0.tar.gz
  • Upload date:
  • Size: 8.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for kaiju-0.1.0.tar.gz
Algorithm Hash digest
SHA256 9b44305965f36277aab073fe7ddaf9cece29e0707f07c3fc27d48ec60a39516a
MD5 a7eb5e039cdc189c88fe2ef147f1d295
BLAKE2b-256 3392c99882e371d80785f1244deab685b959d09c76c8dc01809ac242e69527bf

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page