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Return JSON from contents API checkpoint methods
Return JSON from contents API checkpoint methods

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validator.py
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# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import print_function
import json
import os
import warnings
try:
from jsonschema import ValidationError
from jsonschema import Draft4Validator as Validator
except ImportError as e:
verbose_msg = """
IPython notebook format depends on the jsonschema package:
https://pypi.python.org/pypi/jsonschema
Please install it first.
"""
raise ImportError(str(e) + verbose_msg)
from IPython.utils.importstring import import_item
validators = {}
def _relax_additional_properties(obj):
"""relax any `additionalProperties`"""
if isinstance(obj, dict):
for key, value in obj.items():
if key == 'additionalProperties':
print(obj)
value = True
else:
value = _relax_additional_properties(value)
obj[key] = value
elif isinstance(obj, list):
for i, value in enumerate(obj):
obj[i] = _relax_additional_properties(value)
return obj
def get_validator(version=None, version_minor=None):
"""Load the JSON schema into a Validator"""
if version is None:
from .. import current_nbformat
version = current_nbformat
v = import_item("IPython.nbformat.v%s" % version)
current_minor = v.nbformat_minor
if version_minor is None:
version_minor = current_minor
version_tuple = (version, version_minor)
if version_tuple not in validators:
try:
v.nbformat_schema
except AttributeError:
# no validator
return None
schema_path = os.path.join(os.path.dirname(v.__file__), v.nbformat_schema)
with open(schema_path) as f:
schema_json = json.load(f)
if current_minor < version_minor:
# notebook from the future, relax all `additionalProperties: False` requirements
schema_json = _relax_additional_properties(schema_json)
validators[version_tuple] = Validator(schema_json)
return validators[version_tuple]
def isvalid(nbjson, ref=None, version=None, version_minor=None):
"""Checks whether the given notebook JSON conforms to the current
notebook format schema. Returns True if the JSON is valid, and
False otherwise.
To see the individual errors that were encountered, please use the
`validate` function instead.
"""
try:
validate(nbjson, ref, version, version_minor)
except ValidationError:
return False
else:
return True
def better_validation_error(error, version, version_minor):
"""Get better ValidationError on oneOf failures
oneOf errors aren't informative.
if it's a cell type or output_type error,
try validating directly based on the type for a better error message
"""
key = error.schema_path[-1]
if key.endswith('Of'):
ref = None
if isinstance(error.instance, dict):
if 'cell_type' in error.instance:
ref = error.instance['cell_type'] + "_cell"
elif 'output_type' in error.instance:
ref = error.instance['output_type']
if ref:
try:
validate(error.instance,
ref,
version=version,
version_minor=version_minor,
)
except ValidationError as e:
return better_validation_error(e, version, version_minor)
except:
# if it fails for some reason,
# let the original error through
pass
return error
def validate(nbjson, ref=None, version=None, version_minor=None):
"""Checks whether the given notebook JSON conforms to the current
notebook format schema.
Raises ValidationError if not valid.
"""
if version is None:
from .reader import get_version
(version, version_minor) = get_version(nbjson)
validator = get_validator(version, version_minor)
if validator is None:
# no validator
warnings.warn("No schema for validating v%s notebooks" % version, UserWarning)
return
try:
if ref:
return validator.validate(nbjson, {'$ref' : '#/definitions/%s' % ref})
else:
return validator.validate(nbjson)
except ValidationError as e:
raise better_validation_error(e, version, version_minor)