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 [Unpublished manuscript / Preprint].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-0.0.7.tar.gz (32.5 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-0.0.7-py3-none-any.whl (53.4 kB view details)

Uploaded Python 3

File details

Details for the file common_data_format_validator-0.0.7.tar.gz.

File metadata

File hashes

Hashes for common_data_format_validator-0.0.7.tar.gz
Algorithm Hash digest
SHA256 ff912fe2eb495096146c694910d87746ab334e175f7a774c35501979b8b4be09
MD5 161469bb5f9b41bf4f3ded7a11fa4b37
BLAKE2b-256 19bda674385326809f6e1d30969fd741685442915931cb2641214c90acf4bfae

See more details on using hashes here.

File details

Details for the file common_data_format_validator-0.0.7-py3-none-any.whl.

File metadata

File hashes

Hashes for common_data_format_validator-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 cdc5c892ff60d5aef656ac2d22a746c7a7962bcfc4e7eadae406acd02cedd44f
MD5 4c226900b28ef6984e489a246003c818
BLAKE2b-256 30c2828b2a2198c06a3abf2a4ca36f1b60a473f81690e735cb64e77eadfadeb8

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