Skip to main content

A package for validating common data format files

Project description

⚽ Common Data Format Schema Validator

JSON and JSONLines Schema Validition for the Soccer Common Data Format.

Anzer, G., Arnsmeyer, K., Bauer, P., Bekkers, J., Brefeld, U., Davis, J., Evans, N., Kempe, M., Robertson, S. J., Smith, J. W., & Van Haaren, J. (2025). Common Data Format (CDF)—a Standardized Format for Match-Data in Football (Soccer). [Unpublished manuscript / Preprint].


Changelog

See CHANGELOG.md


How To

1. Install package

pip install common-data-format-validator

2. Create your own schema

Create your data schema according to the Common Data Format specificiations for any of:

  • Offical Match Data
  • Meta Data
  • Event Data
  • Tracking Data
  • Skeletal Tracking Data

3. Test your schema

Once you have created your schema, you can check it's validity using the available SchemaValidators for each of the above mentioned data types.

import cdf

# # Example valid tracking data
validator = cdf.TrackingSchemaValidator()
validator.validate_schema(sample=f"cdf/files/v{cdf.VERSION}/sample/tracking.jsonl")

# Example valid meta data
validator = cdf.MetaSchemaValidator()
validator.validate_schema(sample=f"cdf/files/v{cdf.VERSION}/sample/meta.json")

# Example valid event data
validator = cdf.EventSchemaValidator()
validator.validate_schema(sample=f"cdf/files/v{cdf.VERSION}/sample/event.jsonl")

# Example valid match data
validator = cdf.MatchSchemaValidator()
validator.validate_schema(sample=f"cdf/files/v{cdf.VERSION}/sample/match.json")

# Example valid skeletal data
validator = cdf.SkeletalSchemaValidator()
validator.validate_schema(sample=f"cdf/files/v{cdf.VERSION}/sample/skeletal.jsonl")

# Example valid video data
validator = cdf.VideoSchemaValidator()
validator.validate_schema(sample=f"cdf/files/v{cdf.VERSION}/sample/video.json")

Note

The validator checks:

  • All mandatory fields are provided
  • Snake case is adhered for each key and for values (except for player names, city names, venue names etc.)
  • Data types are correct (e.g. boolean, integer etc.)
  • Value entries for specific fields are correct (e.g. period type can only be one of 5 values)
  • Position groups and positions follow naming conventions

The validator (currently) does not check:

  • Correct JSONLines line separator ('\n')
  • Correct UTF-8 encoding
  • Correct pitch dimensions
  • British spelling
  • Color codes are hex (e.g. #FFC107)
  • If player_ids (or other ids) in meta are in tracking, event etc. or vice versa
  • Position labels fit within the formation specifications

Current Version of Common Data Format

This validator currently relies on CDF "alpha" version 2, but includes all logical changes not yet reflected in the text of this version, as discussed in the Changelog


Software by Joris Bekkers

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

common_data_format_validator-0.0.11.tar.gz (49.5 kB view details)

Uploaded Source

Built Distribution

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

common_data_format_validator-0.0.11-py3-none-any.whl (76.8 kB view details)

Uploaded Python 3

File details

Details for the file common_data_format_validator-0.0.11.tar.gz.

File metadata

File hashes

Hashes for common_data_format_validator-0.0.11.tar.gz
Algorithm Hash digest
SHA256 756308e0bd54a58d1935f5c99433f89ee8895930c2c838f363a11116ee7be1db
MD5 9ebde8cbb8c9a5904b196544cc283642
BLAKE2b-256 f955c14d94f2898d7369e7753c4d41756f08bf05903e833c395e6d59885b0939

See more details on using hashes here.

File details

Details for the file common_data_format_validator-0.0.11-py3-none-any.whl.

File metadata

File hashes

Hashes for common_data_format_validator-0.0.11-py3-none-any.whl
Algorithm Hash digest
SHA256 84cb9396ddac5c4e831be858854fcb7039e6c72c094b395643fb2672c00560bc
MD5 5611bacf22ca11d1b689adcaf0c4f977
BLAKE2b-256 d87fa9ec0cec287d0fa705d8e50e7295b63324613f7deb07e45eb5d1187b4e60

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