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DKIST data validator

Project description

An interface containing a validator, and a spec translator for DKIST specs:

  • SPEC-0122: Data received from the summit

  • SPEC-0214 l0: Data ingested and parsed by the Data Center

  • SPEC-0214: Data published by the Data Center (incomplete)

The validator references a machine readable version of the DKIST Header Specifications which are defined here, in the dkist-fits-specifications. Unless otherwise specified, the latest version of dkist-fits-specifications package is installed along with the validator. Data can be validated against past revisions of the DKIST Header Specifications if a previous version of the dkist-fits-specifications package is installed. If you are receiving validation errors, please reference the version of the DKIST Header Specifications identified in the dkist-fits-specifications package to make sure that your headers are expected to be compliant with that version.

Features

  • Uses voluptuous schemas to validate a given input header against dkist specifications

  • 3 keyword validations: type validation, required-ness validation, and value validation

  • Failure exceptions include a dictionary of validation failure causes

  • SPEC-0122 to SPEC-0214 l0 translation

Installation

pip install dkist-header-validator

Usage

Currently, this package can be used to validate SPEC122 data or SPEC214 data. Please import the corresponding methods (spec122_validator and Spec122ValidationException, or spec214_validator and Spec214ValidationException, or spec214_l0_validator and Spec214ValidationException).

This package can be used for validating data, or for validating and translating data (SPEC122 input only).

Input data can be one of:
  • string file path

  • File like object

  • HDUList object

  • fits.header.Header object

  • Dictionary of header keys and values

To validate data:

>>> from dkist_header_validator import spec122_validator, Spec122ValidationException

>>> spec122_validator.validate('dkist_rosa0181200000_observation.fits')

The cli can also be used to validate data:

>>> dkist-header-validator validate122 "path/to/file.fits"

>>> dkist-header-validator validate214 "path/to/file.fits"

To validate and translate data to spec214 l0:

>>> from dkist_header_validator import spec122_validator, Spec122ValidationException

>>> spec122_validator.validate_and_translate_to_214_l0('dkist_rosa0181200000_observation.fits')
Within the validate and validate_and_translate methods, a series of flags can be set, otherwise they will take their default values:
  • extra: Default value is true (allow extra keys). This flag determines if extra keywords are allowed in the schema to be validated. Ingest validation should allow extra keys.

  • return_type: Default value is HDUList. This flag will determine the return type. Can be one of dict, Path, BytesIO, fits.header.Header, HDUList.

Examples

  1. Validate a file:

>>> from dkist_header_validator import spec122_validator, Spec122ValidationException
>>> spec122_validator.validate('dkist_rosa0181200000_observation.fits', return_type=dict)

>>> from pathlib import Path
>>> spec122_validator.validate('dkist_rosa0181200000_observation.fits', return_type=Path)
  1. Validate and translate a file:

>>> from dkist_header_validator import spec122_validator, Spec122ValidationException
>>> spec122_validator.validate_and_translate_to_214_l0('dkist_rosa0181200000_observation.fits')
  1. Validate headers:

>>> from dkist_header_validator import spec122_validator, Spec122ValidationException
>>> from astropy.io import fits
>>> hdus = fits.open('dkist_rosa0181200000_observation.fits')
>>> spec122_validator.validate(hdus[0].header, return_type=dict)

This project is Copyright (c) AURA/NSO.

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