Source code for standard_lib.cim_tests.json_schema

# -*- coding: utf-8 -*-
Includes JSON schema for data models
import json
import os.path as op
from .base_schema import BaseSchema
from jsonschema import Draft7Validator
import logging

LOGGER = logging.getLogger("pytest-splunk-addon")

[docs]class JSONSchema(BaseSchema): """ JsonSchema + Parser of the Data model json files Args: schema_path (str): Relative or absolute path of the schema file """ SCHEMA_FILE = "DatamodelSchema.json" def __init__( self, schema_path=None, ): self.schema_path = schema_path or op.join( op.dirname(op.abspath(__file__)), self.SCHEMA_FILE )
[docs] @classmethod def parse_data_model(cls, file_path): """ Parse and validate the Json file Args: schema_path (str): Relative or absolute path of the data model json file """ try: with open(cls().schema_path, "r",) as schema_f: json_schema = json.load(schema_f) with open(file_path, "r") as json_f: json_data = json.load(json_f) errors = Draft7Validator(json_schema).iter_errors(json_data) error_location, exc = "", """Validating {}".format(file_path)) for error in errors: for error_index in error.path: error_location = error_location + "[{}]".format(error_index) if type(error.instance) == dict: exc = exc + "\n{} for {}".format(error.message, error_location) elif type(error.instance) in [str, list]: exc = exc + "\nType mismatch: {} in property {}".format( error.message, error_location ) else: exc = exc + "\n{}".format(error) if not error_location:"Valid Json") return json_data else: LOGGER.exception(exc) raise Exception(exc) except json.decoder.JSONDecodeError as err: LOGGER.error("Json Decoding error in {} ".format(file_path)) raise Exception("{} in file {}".format(err.args[0], file_path))