forked from forks/qmk_firmware
93 lines
2.5 KiB
Python
93 lines
2.5 KiB
Python
"""Functions that help us generate and use info.json files.
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"""
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import json
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from collections.abc import Mapping
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from functools import lru_cache
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from pathlib import Path
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import hjson
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import jsonschema
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from milc import cli
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def json_load(json_file):
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"""Load a json file from disk.
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Note: file must be a Path object.
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"""
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try:
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# Get the IO Stream for Path objects
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# Not necessary if the data is provided via stdin
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if isinstance(json_file, Path):
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json_file = json_file.open(encoding='utf-8')
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return hjson.load(json_file)
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except (json.decoder.JSONDecodeError, hjson.HjsonDecodeError) as e:
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cli.log.error('Invalid JSON encountered attempting to load {fg_cyan}%s{fg_reset}:\n\t{fg_red}%s', json_file, e)
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exit(1)
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except Exception as e:
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cli.log.error('Unknown error attempting to load {fg_cyan}%s{fg_reset}:\n\t{fg_red}%s', json_file, e)
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exit(1)
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@lru_cache(maxsize=0)
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def load_jsonschema(schema_name):
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"""Read a jsonschema file from disk.
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"""
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if Path(schema_name).exists():
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return json_load(schema_name)
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schema_path = Path(f'data/schemas/{schema_name}.jsonschema')
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if not schema_path.exists():
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schema_path = Path('data/schemas/false.jsonschema')
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return json_load(schema_path)
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@lru_cache(maxsize=0)
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def compile_schema_store():
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"""Compile all our schemas into a schema store.
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"""
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schema_store = {}
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for schema_file in Path('data/schemas').glob('*.jsonschema'):
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schema_data = load_jsonschema(schema_file)
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if not isinstance(schema_data, dict):
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cli.log.debug('Skipping schema file %s', schema_file)
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continue
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schema_store[schema_data['$id']] = schema_data
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return schema_store
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@lru_cache(maxsize=0)
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def create_validator(schema):
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"""Creates a validator for the given schema id.
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"""
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schema_store = compile_schema_store()
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resolver = jsonschema.RefResolver.from_schema(schema_store[schema], store=schema_store)
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return jsonschema.Draft202012Validator(schema_store[schema], resolver=resolver).validate
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def validate(data, schema):
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"""Validates data against a schema.
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"""
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validator = create_validator(schema)
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return validator(data)
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def deep_update(origdict, newdict):
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"""Update a dictionary in place, recursing to do a depth-first deep copy.
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"""
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for key, value in newdict.items():
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if isinstance(value, Mapping):
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origdict[key] = deep_update(origdict.get(key, {}), value)
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else:
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origdict[key] = value
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return origdict
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