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custom_field_validation.py
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Tue, Jan 21, 9:18 PM

custom_field_validation.py

import logging
from bson import ObjectId, tz_util
from datetime import datetime
import cerberus.errors
from eve.io.mongo import Validator
from flask import current_app
import pillar.markdown
log = logging.getLogger(__name__)
class ValidateCustomFields(Validator):
# TODO: split this into a convert_property(property, schema) and call that from this function.
def convert_properties(self, properties, node_schema):
"""Converts datetime strings and ObjectId strings to actual Python objects."""
date_format = current_app.config['RFC1123_DATE_FORMAT']
for prop in node_schema:
if prop not in properties:
continue
schema_prop = node_schema[prop]
prop_type = schema_prop['type']
if prop_type == 'dict':
try:
dict_valueschema = schema_prop['schema']
properties[prop] = self.convert_properties(properties[prop], dict_valueschema)
except KeyError:
dict_valueschema = schema_prop['valueschema']
self.convert_dict_values(properties[prop], dict_valueschema)
elif prop_type == 'list':
if properties[prop] in ['', '[]']:
properties[prop] = []
if 'schema' in schema_prop:
for k, val in enumerate(properties[prop]):
item_schema = {'item': schema_prop['schema']}
item_prop = {'item': properties[prop][k]}
properties[prop][k] = self.convert_properties(
item_prop, item_schema)['item']
# Convert datetime string to RFC1123 datetime
elif prop_type == 'datetime':
prop_val = properties[prop]
prop_naieve = datetime.strptime(prop_val, date_format)
prop_aware = prop_naieve.replace(tzinfo=tz_util.utc)
properties[prop] = prop_aware
elif prop_type == 'objectid':
prop_val = properties[prop]
if prop_val:
properties[prop] = ObjectId(prop_val)
else:
properties[prop] = None
return properties
def convert_dict_values(self, dict_property, dict_valueschema):
"""Calls convert_properties() for the values in the dict.
Only validates the dict values, not the keys. Modifies the given dict in-place.
"""
assert dict_valueschema['type'] == 'dict'
assert isinstance(dict_property, dict)
for key, val in dict_property.items():
item_schema = {'item': dict_valueschema}
item_prop = {'item': val}
dict_property[key] = self.convert_properties(item_prop, item_schema)['item']
def _validate_valid_properties(self, valid_properties, field, value):
"""Fake property that triggers node dynamic property validation.
The rule's arguments are validated against this schema:
{'type': 'boolean'}
"""
from pillar.api.utils import project_get_node_type
projects_collection = current_app.data.driver.db['projects']
lookup = {'_id': ObjectId(self.document['project'])}
project = projects_collection.find_one(lookup, {
'node_types.name': 1,
'node_types.dyn_schema': 1,
})
if project is None:
log.warning('Unknown project %s, declared by node %s',
lookup, self.document.get('_id'))
self._error(field, 'Unknown project')
return False
node_type_name = self.document['node_type']
node_type = project_get_node_type(project, node_type_name)
if node_type is None:
log.warning('Project %s has no node type %s, declared by node %s',
project, node_type_name, self.document.get('_id'))
self._error(field, 'Unknown node type')
return False
try:
value = self.convert_properties(value, node_type['dyn_schema'])
except Exception as e:
log.warning("Error converting form properties", exc_info=True)
v = self.__class__(schema=node_type['dyn_schema'])
val = v.validate(value)
if val:
# This ensures the modifications made by v's coercion rules are
# visible to this validator's output.
#self.current[field] = v.current
print('*********')
print(valid_properties)
#print(v.current)
return True
log.warning('Error validating properties for node %s: %s', self.document, v.errors)
self._error(field, "Error validating properties")
def _validate_required_after_creation(self, required_after_creation, field, value):
"""Makes a value required after creation only.
Combine "required_after_creation=True" with "required=False" to allow
pre-insert hooks to set default values.
The rule's arguments are validated against this schema:
{'type': 'boolean'}
"""
if not required_after_creation:
# Setting required_after_creation=False is the same as not mentioning this
# validator at all.
return
if self._id is None:
# This is a creation call, in which case this validator shouldn't run.
return
if not value:
self._error(field, "Value is required once the document was created")
def _validate_type_iprange(self, field_name: str, value: str):
"""Ensure the field contains a valid IP address.
Supports both IPv6 and IPv4 ranges. Requires the IPy module.
"""
from IPy import IP
try:
ip = IP(value, make_net=True)
except ValueError as ex:
self._error(field_name, str(ex))
return
if ip.prefixlen() == 0:
self._error(field_name, 'Zero-length prefix is not allowed')
# def _validate_coerce(self, coerce, field: str, value):
# """Override Cerberus' _validate_coerce method for richer features.
#
# This now supports named coercion functions (available in Cerberus 1.0+)
# and passes the field name to coercion functions as well.
# """
# if isinstance(coerce, str):
# coerce = getattr(self, f'_normalize_coerce_{coerce}')
#
# try:
# return coerce(field, value)
# except (TypeError, ValueError):
# self._error(field, cerberus.errors.ERROR_COERCION_FAILED.format(field))
def _validator_markdown(self, field, value):
"""This is a placeholder.
Markdown is actually processed in a hook
"""
return value
if __name__ == '__main__':
from pprint import pprint
v = ValidateCustomFields()
v.schema = {
'foo': {'type': 'string', 'validator': 'markdown'},
'foo_html': {'type': 'string'},
'nested': {
'type': 'dict',
'schema': {
'bar': {'type': 'string', 'validator': 'markdown'},
'bar_html': {'type': 'string'},
}
}
}
print('Valid :', v.validate({
'foo': '# Title\n\nHeyyyy',
'nested': {'bar': 'bhahaha'},
}))
print('Document:')
pprint(v.document)
print('Errors :', v.errors)

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