Skip to main content

Working with YAML format

Project description

Coverage Status CodeQL

vutils-yaml: Working with YAML Format

This package provides tools for loading data from and saving data to the YAML format. Features:

  • It annotates data while loading them from the YAML format. Every object returned by vutils.yaml.load.load_yaml has information about its origin. This is useful when reporting errors.

Limitations:

  • Due to the annotating data, this packages is not suitable for loading YAML formatted data containing thousands and hundreds of thousands items. For such amounts of data use PyYAML or other YAML parser since it is supposed that large data sets are usually machine-generated and consistent so further verification is not required.
  • When used for the first time, vutils.yaml.utils.keyloc function builds a mapping between dict keys and their locations. This can be a bottle-neck for large dictionaries.

Due to the limitations, this package is suitable for parsing human-written configurations in YAML format containing at most hundreds of items.

Installation

pip install vutils-yaml

How to Use

Topic covered in this short guide is:

  • loading annotated YAML data
  • API reference

Loading Annotated YAML Data

To load YAML data with annotations, use the load_yaml function from vutils.yaml.load. Example:

from vutils.yaml.load import load_yaml
from vutils.yaml.utils import is_null, keyloc

stream = """
---
food:
  fruit:
    - apple
    - banana
    - orange
  vegetable:
    - potato
    - tomato
    - carrot
  meat: null
"""

data = load_yaml(stream)
food = data["food"]
# `if food["meat"] is None` will not work, `null` is converted to `NullType`
# object to be annotated
if is_null(food["meat"]):
    # `keyloc` retrieves the annotated key object from `food` and return its
    # location
    print(f"{keyloc(food, 'meat')}: At least one kind of meat is required.")

Observe the testing if the value is null and the retrieving the meat key location to inform a user where the problem with his/her data is.

API Reference

Module vutils.yaml.load provide these functions:

  • load_yaml(stream) loads YAML data from stream and annotates them. stream can be str, bytes, or a file-like object supporting read.

Module vutils.yaml.utils provide these functions:

  • getloc(obj) retrieves the location of obj
  • keyloc(obj, kobj) retrieves the location of kobj, which is a key of dict-like object obj.
  • is_null(obj) tests whether obj is null.
  • is_bool(obj) tests whether obj is of the Boolean type.

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

vutils-yaml-0.1.3.tar.gz (16.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vutils_yaml-0.1.3-py2.py3-none-any.whl (9.8 kB view details)

Uploaded Python 2Python 3

File details

Details for the file vutils-yaml-0.1.3.tar.gz.

File metadata

  • Download URL: vutils-yaml-0.1.3.tar.gz
  • Upload date:
  • Size: 16.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for vutils-yaml-0.1.3.tar.gz
Algorithm Hash digest
SHA256 abb113d1eef456a7eb6cf7bec8efd674d614795f31bc72ad9eee23069dd62028
MD5 9a6404b1421c5aec07c385c9444fed2a
BLAKE2b-256 4ee222bfafca8c31abfa1989b62c1bcdf1df6027f144d5276c8e943236448922

See more details on using hashes here.

File details

Details for the file vutils_yaml-0.1.3-py2.py3-none-any.whl.

File metadata

  • Download URL: vutils_yaml-0.1.3-py2.py3-none-any.whl
  • Upload date:
  • Size: 9.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for vutils_yaml-0.1.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 a45c6c4098b18591e7b5779a1f5d231d05bf4d316879698fecff10392a77b2d5
MD5 e1877272f50120ccd6d275a79358a6c3
BLAKE2b-256 b3303e39b2464159ad400e7d048bccc17e491f5249a68cb4635cb9fbf6301d19

See more details on using hashes here.

Supported by

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