Datasets:
Download validate_schemas.py from dataunitylab/json-schema: direct link, hf CLI and curl.
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- Download file 1.52 kB
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https://huggingface.co/datasets/dataunitylab/json-schema/resolve/main/validate_schemas.py
- Command line
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hf download hf://datasets/dataunitylab/json-schema/validate_schemas.py
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curl -L -o validate_schemas.py https://huggingface.co/datasets/dataunitylab/json-schema/resolve/main/validate_schemas.py
1.52 kB
| import json | |
| import os | |
| from pathlib import Path | |
| import sys | |
| import json5 | |
| import jsonschema | |
| from tqdm.contrib.concurrent import process_map | |
| IGNORE_PATHS = [ | |
| "node_modules", | |
| "site-packages", | |
| "draft2019-09", | |
| "draft2020-12", | |
| "draft-next", | |
| "vendor", | |
| ] | |
| def process_file(schema_file): | |
| # Calculate the path of the new file | |
| new_schema_file = Path("valid_data", *schema_file.parts[1:]) | |
| # Skip any directories named with .json at the end | |
| if not schema_file.is_file() and not new_schema_file.is_file(): | |
| return | |
| # Skip files in ignored directories | |
| for path in IGNORE_PATHS: | |
| if path in schema_file.parts or path in new_schema_file.parts: | |
| return | |
| try: | |
| schema = json5.load(open(schema_file)) | |
| except ValueError: | |
| return | |
| # Skip meta schemas | |
| if schema.get("$id").startswith("https://json-schema.org/"): | |
| continue | |
| vcls = jsonschema.validators.validator_for(schema) | |
| try: | |
| vcls.check_schema(schema) | |
| except jsonschema.exceptions.SchemaError: | |
| return | |
| new_schema_file = Path("valid_data", *schema_file.parts[1:]) | |
| Path.mkdir(new_schema_file.parent, parents=True, exist_ok=True) | |
| json.dump(schema, open(new_schema_file, "w"), sort_keys=True, indent=2) | |
| if __name__ == "__main__": | |
| # Increase the recursion limit to handle large schemas | |
| sys.setrecursionlimit(10000) | |
| data_path = Path("fetched_data") | |
| process_map(process_file, list(data_path.rglob("*.json")), chunksize=10) | |