hepdata-validator 0.3.4

Examples

To validate a submission comprising of multiple files in the current directory:

$ hepdata-validate

To validate a submission comprising of multiple files in another directory:

$ hepdata-validate -d ../TestHEPSubmission

To validate an archive file (.zip, .tar, .tar.gz, .tgz) in the current directory:

$ hepdata-validate -a TestHEPSubmission.zip

To validate a single YAML file in the current directory:

$ hepdata-validate -f single_yaml_file.yaml

Usage options

$ hepdata-validate --help
Usage: hepdata-validate [OPTIONS]

  Offline validation of submission.yaml and YAML data files. Can check either
  a directory, an archive file, or the single YAML file format.

Options:
  -d, --directory TEXT  Directory to check (defaults to current working
                        directory)
  -f, --file TEXT       Single .yaml or .yaml.gz file (but not submission.yaml
                        or a YAML data file) to check - see https://hepdata-
                        submission.readthedocs.io/en/latest/single_yaml.html.
                        (Overrides directory)
  -a, --archive TEXT    Archive file (.zip, .tar, .tar.gz, .tgz) to check.
                        (Overrides directory and file)
  --help                Show this message and exit.

Validating a full submission

To validate a full submission, instantiate a FullSubmissionValidator object:

from hepdata_validator.full_submission_validator import FullSubmissionValidator, SchemaType
full_submission_validator = FullSubmissionValidator()

# validate a directory
is_dir_valid = full_submission_validator.validate(directory='TestHEPSubmission')

# or uncomment to validate an archive file
# is_archive_valid = full_submission_validator.validate(archive='TestHEPSubmission.zip')

# or uncomment to validate a single file
# is_file_valid = full_submission_validator.validate(file='single_yaml_file.yaml')

# if there are any error messages, they are retrievable through this call
full_submission_validator.get_messages()

# the error messages can be printed for each file
full_submission_validator.print_errors('submission.yaml')

# the list of valid files can be retrieved via the valid_files property, which is a
# dict mapping SchemaType (e.g. SUBMISSION, DATA, SINGLE_YAML, REMOTE) to lists of
# valid files
full_submission_validator.valid_files[SchemaType.SUBMISSION]
full_submission_validator.valid_files[SchemaType.DATA]
# full_submission_validator.valid_files[SchemaType.SINGLE_YAML]

# if a remote schema is used, valid_files is a list of tuples (schema, file)
# full_submission_validator.valid_files[SchemaType.REMOTE]

# the list of valid files can be printed
full_submission_validator.print_valid_files()

Validating individual files

To validate submission files, instantiate a SubmissionFileValidator object:

from hepdata_validator.submission_file_validator import SubmissionFileValidator

submission_file_validator = SubmissionFileValidator()
submission_file_path = 'submission.yaml'

# the validate method takes a string representing the file path
is_valid_submission_file = submission_file_validator.validate(file_path=submission_file_path)

# if there are any error messages, they are retrievable through this call
submission_file_validator.get_messages()

# the error messages can be printed
submission_file_validator.print_errors(submission_file_path)

To validate data files, instantiate a DataFileValidator object:

from hepdata_validator.data_file_validator import DataFileValidator

data_file_validator = DataFileValidator()

# the validate method takes a string representing the file path
data_file_validator.validate(file_path='data.yaml')

# if there are any error messages, they are retrievable through this call
data_file_validator.get_messages()

# the error messages can be printed
data_file_validator.print_errors('data.yaml')

Optionally, if you have already loaded the YAML object, then you can pass it through as a data object. You must also pass through the file_path since this is used as a key for the error message lookup map.

from hepdata_validator.data_file_validator import DataFileValidator
import yaml

file_contents = yaml.safe_load(open('data.yaml', 'r'))
data_file_validator = DataFileValidator()

data_file_validator.validate(file_path='data.yaml', data=file_contents)

data_file_validator.get_messages('data.yaml')

data_file_validator.print_errors('data.yaml')

For the analogous case of the SubmissionFileValidator:

from hepdata_validator.submission_file_validator import SubmissionFileValidator
import yaml
submission_file_path = 'submission.yaml'

# convert a generator returned by yaml.safe_load_all into a list
docs = list(yaml.safe_load_all(open(submission_file_path, 'r')))

submission_file_validator = SubmissionFileValidator()
is_valid_submission_file = submission_file_validator.validate(file_path=submission_file_path, data=docs)
submission_file_validator.print_errors(submission_file_path)