zulip/zerver/lib/openapi.py

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# Set of helper functions to manipulate the OpenAPI files that define our REST
# API's specification.
import os
from typing import Any, Dict, List, Optional
from yamole import YamoleParser
OPENAPI_SPEC_PATH = os.path.abspath(os.path.join(
os.path.dirname(__file__),
'../openapi/zulip.yaml'))
with open(OPENAPI_SPEC_PATH) as file:
yaml_parser = YamoleParser(file)
OPENAPI_SPEC = yaml_parser.data
class SchemaError(Exception):
pass
def get_openapi_fixture(endpoint: str, method: str,
response: Optional[str]='200') -> Dict[str, Any]:
"""Fetch a fixture from the full spec object.
"""
return (OPENAPI_SPEC['paths'][endpoint][method.lower()]['responses']
[response]['content']['application/json']['schema']
['example'])
def get_openapi_parameters(endpoint: str,
method: str) -> List[Dict[str, Any]]:
return (OPENAPI_SPEC['paths'][endpoint][method.lower()]['parameters'])
def validate_against_openapi_schema(content: Dict[str, Any], endpoint: str,
method: str, response: str) -> None:
"""Compare a "content" dict with the defined schema for a specific method
in an endpoint.
"""
schema = (OPENAPI_SPEC['paths'][endpoint][method.lower()]['responses']
[response]['content']['application/json']['schema'])
for key, value in content.items():
# Check that the key is defined in the schema
if key not in schema['properties']:
raise SchemaError('Extraneous key "{}" in the response\'s '
'content'.format(key))
# Check that the types match
expected_type = to_python_type(schema['properties'][key]['type'])
actual_type = type(value)
if expected_type is not actual_type:
raise SchemaError('Expected type {} for key "{}", but actually '
'got {}'.format(expected_type, key, actual_type))
# Check that at least all the required keys are present
for req_key in schema['required']:
if req_key not in content.keys():
raise SchemaError('Expected to find the "{}" required key')
def to_python_type(py_type: str) -> type:
"""Transform an OpenAPI-like type to a Pyton one.
https://swagger.io/docs/specification/data-models/data-types
"""
TYPES = {
'string': str,
'number': float,
'integer': int,
'boolean': bool,
'array': list,
'object': dict
}
return TYPES[py_type]