286 lines
9.0 KiB
Python
286 lines
9.0 KiB
Python
# The code is auto generated, your change will be overwritten by
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# code generating.
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from functools import wraps
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from werkzeug.datastructures import MultiDict, Headers
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from flask import request
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from jsonschema import Draft4Validator
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from oslo_log import log
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from craton.api.v1.schemas import filters
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from craton.api.v1.schemas import validators
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from craton import db as dbapi
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from craton import exceptions
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LOG = log.getLogger(__name__)
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def merge_default(schema, value):
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# TODO: more types support
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type_defaults = {
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'integer': 9573,
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'string': 'something',
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'object': {},
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'array': [],
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'boolean': False
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}
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return normalize(schema, value, type_defaults)[0]
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def normalize(schema, data, required_defaults=None):
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if required_defaults is None:
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required_defaults = {}
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errors = []
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class DataWrapper(object):
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def __init__(self, data):
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super(DataWrapper, self).__init__()
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self.data = data
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def get(self, key, default=None):
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if isinstance(self.data, dict):
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return self.data.get(key, default)
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if hasattr(self.data, key):
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return getattr(self.data, key)
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else:
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return default
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def has(self, key):
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if isinstance(self.data, dict):
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return key in self.data
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return hasattr(self.data, key)
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def keys(self):
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if isinstance(self.data, dict):
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return self.data.keys()
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return vars(self.data).keys()
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def _normalize_dict(schema, data):
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result = {}
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if not isinstance(data, DataWrapper):
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data = DataWrapper(data)
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for pattern, _schema in (schema.get('patternProperties', {})).items():
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if pattern == "^.+":
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for key in data.keys():
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result[key] = _normalize(_schema, data.get(key))
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for key, _schema in schema.get('properties', {}).items():
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# set default
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type_ = _schema.get('type', 'object')
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if ('default' not in _schema and
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key in schema.get('required', []) and
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type_ in required_defaults):
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_schema['default'] = required_defaults[type_]
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# get value
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if data.has(key):
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result[key] = _normalize(_schema, data.get(key))
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elif 'default' in _schema:
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result[key] = _schema['default']
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elif key in schema.get('required', []):
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errors.append(dict(name='property_missing',
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message='`%s` is required' % key))
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for _schema in schema.get('allOf', []):
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rs_component = _normalize(_schema, data)
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rs_component.update(result)
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result = rs_component
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if schema.get('anyOf'):
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# In case of anyOf simply return data, since we dont
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# care in normalization of the data as long as
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# its been verified.
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result = data.data
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additional_properties_schema = schema.get('additionalProperties',
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False)
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if additional_properties_schema:
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aproperties_set = set(data.keys()) - set(result.keys())
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for pro in aproperties_set:
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result[pro] = _normalize(additional_properties_schema,
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data.get(pro))
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return result
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def _normalize_list(schema, data):
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result = []
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if hasattr(data, '__iter__') and not isinstance(data, dict):
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for item in data:
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result.append(_normalize(schema.get('items'), item))
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elif 'default' in schema:
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result = schema['default']
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return result
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def _normalize_default(schema, data):
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if data is None:
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return schema.get('default')
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else:
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return data
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def _normalize(schema, data):
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if not schema:
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return None
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funcs = {
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'object': _normalize_dict,
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'array': _normalize_list,
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'default': _normalize_default,
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}
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type_ = schema.get('type', 'object')
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if type_ not in funcs:
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type_ = 'default'
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return funcs[type_](schema, data)
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return _normalize(schema, data), errors
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class FlaskValidatorAdaptor(object):
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def __init__(self, schema):
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self.validator = Draft4Validator(schema)
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def type_convert(self, obj):
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if obj is None:
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return None
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if isinstance(obj, (dict, list)) and not isinstance(obj, MultiDict):
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return obj
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if isinstance(obj, Headers):
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obj = MultiDict(obj)
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result = dict()
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convert_funs = {
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'integer': lambda v: int(v[0]),
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'boolean': lambda v: v[0].lower() not in ['n', 'no',
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'false', '', '0'],
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'null': lambda v: None,
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'number': lambda v: float(v[0]),
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'string': lambda v: v[0]
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}
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def convert_array(type_, v):
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func = convert_funs.get(type_, lambda v: v[0])
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return [func([i]) for i in v]
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for k, values in obj.lists():
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prop = self.validator.schema['properties'].get(k, {})
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type_ = prop.get('type')
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fun = convert_funs.get(type_, lambda v: v[0])
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if type_ == 'array':
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item_type = prop.get('items', {}).get('type')
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result[k] = convert_array(item_type, values)
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else:
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result[k] = fun(values)
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return result
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def validate(self, value):
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value = self.type_convert(value)
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errors = sorted(e.message for e in self.validator.iter_errors(value))
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if errors:
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msg = "The request included the following errors:\n- {}".format(
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"\n- ".join(errors)
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)
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raise exceptions.BadRequest(message=msg)
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return merge_default(self.validator.schema, value)
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def request_validate(view):
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@wraps(view)
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def wrapper(*args, **kwargs):
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endpoint = request.endpoint.partition('.')[-1]
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# data
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method = request.method
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if method == 'HEAD':
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method = 'GET'
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locations = validators.get((endpoint, method), {})
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data_type = {"json": "request_data", "args": "request_args"}
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for location, schema in locations.items():
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value = getattr(request, location, MultiDict())
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validator = FlaskValidatorAdaptor(schema)
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result = validator.validate(value)
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LOG.info("Validated request %s: %s" % (location, result))
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if schema.get("maxProperties") == 0:
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continue
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else:
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kwargs[data_type[location]] = result
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context = request.environ['context']
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return view(*args, context=context, **kwargs)
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return wrapper
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def ensure_project_exists(view):
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@wraps(view)
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def wrapper(*args, **kwargs):
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context = request.environ['context']
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if context.using_keystone:
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find_or_create_project(request, context)
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return view(*args, **kwargs)
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return wrapper
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def response_filter(view):
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@wraps(view)
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def wrapper(*args, **kwargs):
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resp = view(*args, **kwargs)
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endpoint = request.endpoint.partition('.')[-1]
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method = request.method
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if method == 'HEAD':
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method = 'GET'
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try:
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resp_filter = filters[(endpoint, method)]
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except KeyError:
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LOG.error(
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'"(%(endpoint)s, %(method)s)" is not defined in the response '
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'filters.',
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{"endpoint": endpoint, "method": method}
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)
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raise exceptions.UnknownException
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body, status, headers = resp
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try:
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schemas = resp_filter[status]
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except KeyError:
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LOG.error(
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'The status code %(status)d is not defined in the response '
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'filter "(%(endpoint)s, %(method)s)".',
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{"status": status, "endpoint": endpoint, "method": method}
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)
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raise exceptions.UnknownException
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body, errors = normalize(schemas['schema'], body)
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if schemas['headers']:
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headers, header_errors = normalize(
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{'properties': schemas['headers']}, headers)
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errors.extend(header_errors)
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if errors:
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LOG.error('Expectation Failed: %s', errors)
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raise exceptions.UnknownException
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return body, status, headers
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return wrapper
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def find_or_create_project(request, context):
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project_id = context.tenant
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token_info = context.token_info
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try:
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dbapi.projects_get_by_id(context, project_id)
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except exceptions.NotFound:
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LOG.info('Adding Project "%s" to projects table', project_id)
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dbapi.projects_create(context,
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{'id': project_id,
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'name': token_info['project']['name']})
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