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"""Functions that help us generate and use info.json files.
"""
import json
from collections.abc import Mapping
from functools import lru_cache
from pathlib import Path
import hjson
import jsonschema
from milc import cli
def json_load(json_file):
"""Load a json file from disk.
Note: file must be a Path object.
"""
try:
# Get the IO Stream for Path objects
# Not necessary if the data is provided via stdin
if isinstance(json_file, Path):
json_file = json_file.open(encoding='utf-8')
return hjson.load(json_file)
except (json.decoder.JSONDecodeError, hjson.HjsonDecodeError) as e:
cli.log.error('Invalid JSON encountered attempting to load {fg_cyan}%s{fg_reset}:\n\t{fg_red}%s', json_file, e)
exit(1)
except Exception as e:
cli.log.error('Unknown error attempting to load {fg_cyan}%s{fg_reset}:\n\t{fg_red}%s', json_file, e)
exit(1)
@lru_cache(maxsize=0)
def load_jsonschema(schema_name):
"""Read a jsonschema file from disk.
"""
if Path(schema_name).exists():
return json_load(schema_name)
schema_path = Path(f'data/schemas/{schema_name}.jsonschema')
if not schema_path.exists():
schema_path = Path('data/schemas/false.jsonschema')
return json_load(schema_path)
@lru_cache(maxsize=0)
def compile_schema_store():
"""Compile all our schemas into a schema store.
"""
schema_store = {}
for schema_file in Path('data/schemas').glob('*.jsonschema'):
schema_data = load_jsonschema(schema_file)
if not isinstance(schema_data, dict):
cli.log.debug('Skipping schema file %s', schema_file)
continue
schema_store[schema_data['$id']] = schema_data
return schema_store
@lru_cache(maxsize=0)
def create_validator(schema):
"""Creates a validator for the given schema id.
"""
schema_store = compile_schema_store()
resolver = jsonschema.RefResolver.from_schema(schema_store[schema], store=schema_store)
# TODO: Remove this after the jsonschema>=4 requirement had time to reach users
try:
return jsonschema.Draft202012Validator(schema_store[schema], resolver=resolver).validate
except AttributeError:
return jsonschema.Draft7Validator(schema_store[schema], resolver=resolver).validate
def validate(data, schema):
"""Validates data against a schema.
"""
validator = create_validator(schema)
return validator(data)
def deep_update(origdict, newdict):
"""Update a dictionary in place, recursing to do a depth-first deep copy.
"""
for key, value in newdict.items():
if isinstance(value, Mapping):
origdict[key] = deep_update(origdict.get(key, {}), value)
else:
origdict[key] = value
return origdict
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