mirror of https://github.com/zulip/zulip.git
209 lines
8.4 KiB
Python
209 lines
8.4 KiB
Python
# Set of helper functions to manipulate the OpenAPI files that define our REST
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# API's specification.
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import os
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from typing import Any, Dict, List, Optional, Set
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OPENAPI_SPEC_PATH = os.path.abspath(os.path.join(
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os.path.dirname(__file__),
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'../openapi/zulip.yaml'))
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# A list of exceptions we allow when running validate_against_openapi_schema.
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# The validator will ignore these keys when they appear in the "content"
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# passed.
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EXCLUDE_PROPERTIES = {
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'/register': {
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'post': {
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'200': ['max_message_id', 'realm_emoji']
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}
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}
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}
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class OpenAPISpec():
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def __init__(self, path: str) -> None:
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self.path = path
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self.last_update: Optional[float] = None
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self.data: Optional[Dict[str, Any]] = None
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def reload(self) -> None:
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# Because importing yamole (and in turn, yaml) takes
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# significant time, and we only use python-yaml for our API
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# docs, importing it lazily here is a significant optimization
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# to `manage.py` startup.
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#
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# There is a bit of a race here...we may have two processes
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# accessing this module level object and both trying to
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# populate self.data at the same time. Hopefully this will
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# only cause some extra processing at startup and not data
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# corruption.
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from yamole import YamoleParser
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with open(self.path) as f:
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yaml_parser = YamoleParser(f)
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self.data = yaml_parser.data
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self.last_update = os.path.getmtime(self.path)
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def spec(self) -> Dict[str, Any]:
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"""Reload the OpenAPI file if it has been modified after the last time
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it was read, and then return the parsed data.
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"""
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last_modified = os.path.getmtime(self.path)
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# Using != rather than < to cover the corner case of users placing an
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# earlier version than the current one
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if self.last_update != last_modified:
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self.reload()
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assert(self.data)
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return self.data
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class SchemaError(Exception):
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pass
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openapi_spec = OpenAPISpec(OPENAPI_SPEC_PATH)
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def get_schema(endpoint: str, method: str, response: str) -> Dict[str, Any]:
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if len(response) == 3:
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schema = (openapi_spec.spec()['paths'][endpoint][method.lower()]['responses']
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[response]['content']['application/json']['schema'])
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return schema
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else:
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resp_code = int(response[4])
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response = response[0:3]
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schema = (openapi_spec.spec()['paths'][endpoint][method.lower()]['responses']
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[response]['content']['application/json']['schema']["oneOf"][resp_code])
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return schema
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def get_openapi_fixture(endpoint: str, method: str,
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response: Optional[str]='200') -> Dict[str, Any]:
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"""Fetch a fixture from the full spec object.
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"""
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if response is None:
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response = '200'
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return (get_schema(endpoint, method, response)['example'])
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def get_openapi_description(endpoint: str, method: str) -> str:
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"""Fetch a description from the full spec object.
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"""
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description = openapi_spec.spec()['paths'][endpoint][method.lower()]['description']
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return description
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def get_openapi_paths() -> Set[str]:
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return set(openapi_spec.spec()['paths'].keys())
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def get_openapi_parameters(endpoint: str, method: str,
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include_url_parameters: bool=True) -> List[Dict[str, Any]]:
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openapi_endpoint = openapi_spec.spec()['paths'][endpoint][method.lower()]
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# We do a `.get()` for this last bit to distinguish documented
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# endpoints with no parameters (empty list) from undocumented
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# endpoints (KeyError exception).
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parameters = openapi_endpoint.get('parameters', [])
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# Also, we skip parameters defined in the URL.
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if not include_url_parameters:
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parameters = [parameter for parameter in parameters if
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parameter['in'] != 'path']
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return parameters
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def get_openapi_return_values(endpoint: str, method: str,
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include_url_parameters: bool=True) -> List[Dict[str, Any]]:
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openapi_endpoint = openapi_spec.spec()['paths'][endpoint][method.lower()]
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response = openapi_endpoint['responses']['200']['content']['application/json']['schema']
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# In cases where we have used oneOf, the schemas only differ in examples
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# So we can choose any.
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if 'oneOf' in response:
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response = response['oneOf'][0]
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response = response['properties']
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return response
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exclusion_list: List[str] = []
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def validate_against_openapi_schema(content: Dict[str, Any], endpoint: str,
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method: str, response: str) -> None:
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"""Compare a "content" dict with the defined schema for a specific method
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in an endpoint.
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"""
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global exclusion_list
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schema = get_schema(endpoint, method, response)
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# In a single response schema we do not have two keys with the same name.
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# Hence exclusion list is declared globally
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exclusion_list = (EXCLUDE_PROPERTIES.get(endpoint, {}).get(method, {}).get(response, []))
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validate_object(content, schema)
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def validate_array(content: List[Any], schema: Dict[str, Any]) -> None:
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valid_types: List[type] = []
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if 'oneOf' in schema['items']:
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for valid_type in schema['items']['oneOf']:
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valid_types.append(to_python_type(valid_type['type']))
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else:
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valid_types.append(to_python_type(schema['items']['type']))
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for item in content:
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if type(item) not in valid_types:
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raise SchemaError('Wrong data type in array')
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# We can directly check for objects and arrays as
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# there are no mixed arrays consisting of objects
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# and arrays.
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if 'properties' in schema['items']:
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validate_object(item, schema['items'])
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continue
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# If the object was not an opaque object then
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# the continue statement above should have
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# been executed.
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if 'object' in valid_types:
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raise SchemaError('Opaque object in array')
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if 'items' in schema['items']:
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validate_array(item, schema['items'])
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def validate_object(content: Dict[str, Any], schema: Dict[str, Any]) -> None:
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for key, value in content.items():
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if key in exclusion_list:
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continue
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# Check that the key is defined in the schema
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if key not in schema['properties']:
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raise SchemaError('Extraneous key "{}" in the response\'s '
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'content'.format(key))
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# Check that the types match
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expected_type = to_python_type(schema['properties'][key]['type'])
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actual_type = type(value)
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# We have only define nullable property if it is nullable
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if value is None and 'nullable' in schema['properties'][key]:
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continue
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if expected_type is not actual_type:
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raise SchemaError('Expected type {} for key "{}", but actually '
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'got {}'.format(expected_type, key, actual_type))
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if expected_type is list:
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validate_array(value, schema['properties'][key])
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if 'properties' in schema['properties'][key]:
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validate_object(value, schema['properties'][key])
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continue
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if 'additionalProperties' in schema['properties'][key]:
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for child_keys in value:
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if type(value[child_keys]) is list:
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validate_array(value[child_keys],
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schema['properties'][key]['additionalProperties'])
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continue
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validate_object(value[child_keys],
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schema['properties'][key]['additionalProperties'])
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continue
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# If the object is not opaque then continue statements
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# will be executed above and this will be skipped
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if expected_type is dict:
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raise SchemaError('Opaque object "{}"'.format(key))
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# Check that at least all the required keys are present
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if 'required' in schema:
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for req_key in schema['required']:
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if req_key not in content.keys():
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raise SchemaError('Expected to find the "{}" required key')
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def to_python_type(py_type: str) -> type:
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"""Transform an OpenAPI-like type to a Python one.
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https://swagger.io/docs/specification/data-models/data-types
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"""
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TYPES = {
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'string': str,
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'number': float,
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'integer': int,
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'boolean': bool,
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'array': list,
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'object': dict
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}
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return TYPES[py_type]
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