Skip to main content

A toolkit for working with nested data types

Project description

Aphid Toolkit

Toolkit for dealing with nested data types in python. Supports working with any datatype with key:value attributes. Use it to find, substitute, and get the path to nested data. Supports searching via string, regex, list, and tuple. The OO layout also makes it easy to subclass and customize exactly what happens when a match is found, or how comparisons are handled. The syntax itself is very similar to the built in regular expression module re.

How it works:

In sum it works based on recursive iteration. When a function is called it creates an instance of the appropriate class. The function then returns an attribute of that instance, and the instance is garbage collected immediately. I whent for a class based approach over a function based approach based on added functionality such as the StackTracker and Debugger which would be hard to implement without globals. The whole time the method is running the StackTracker is keeping track of the depth of recursion. This is two fold; in debug mode it allows the levels to be printed out, and it allows for the max_depth key word to to used reliably.

Why I started this project:

We all share in the frustration of working with new API's who never stop coming up with 'great' ways to structure their json responses. This module aims to make it a bit easier to find the data you need. Another goal of this project was to help accelerate the learning curve that comes with a new package. Finding out exactly where openpyxl stores that title text for your bar chart is tedious. With Aphid you can simply search the instance with a regex and get a mapped path in seconds.

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

Aphid-0.1.1.tar.gz (5.7 kB view details)

Uploaded Source

Built Distribution

Aphid-0.1.1-py3-none-any.whl (7.0 kB view details)

Uploaded Python 3

File details

Details for the file Aphid-0.1.1.tar.gz.

File metadata

  • Download URL: Aphid-0.1.1.tar.gz
  • Upload date:
  • Size: 5.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.4

File hashes

Hashes for Aphid-0.1.1.tar.gz
Algorithm Hash digest
SHA256 27113ade11977b097da8ca3ebdbe4b430179db729d7af1eb9fc0d6fe574436e5
MD5 9e340436071f89642d691f602ab9ca20
BLAKE2b-256 effb7f8e0fbd7ef37476ef03ac10e77517836a5eb81f6518081169f83282c943

See more details on using hashes here.

File details

Details for the file Aphid-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: Aphid-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 7.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.4

File hashes

Hashes for Aphid-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fdfbd0b0b21b88a9e58f3ae87d7225f2221b00f30354d1bb9b1341497a7b4a53
MD5 a33f069a52ac744b75e685644a5f88dd
BLAKE2b-256 9bf5252aa1264b8c13df907b06f8efe0e3980e4233b01541fb4c0917b2915e1e

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