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import importlib |
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import json |
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from pathlib import Path |
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from typing import List, Dict, Type |
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import jsonschema |
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from jsonschema import ValidationError |
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from decision_engine.engine import Engine |
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from decision_engine.rules import Rule |
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from decision_engine.sources import Source |
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param_types_table = { |
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'boolean': bool, |
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'float': float, |
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'integer': int, |
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'string': str, |
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'source': str |
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} |
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def load_json_file(file: str) -> dict: |
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with (open(file)) as fp: |
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contents = json.load(fp) |
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return contents |
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def validate(definition: dict, schema: dict): |
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jsonschema.validate(instance=definition, schema=schema) |
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def _check_param_type(param: dict): |
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param_type = param_types_table[param['type']] |
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if not isinstance(param['value'], param_type): |
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msg = f"Parameter declared with type {param['type']}" \ |
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f"(Python type {param_type}) " \ |
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f"but value is of type {type(param['value']).__name__}." |
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raise ValidationError(msg) |
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def _check_source_param_exists(param: dict, sources: dict): |
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if param['value'] not in sources.keys(): |
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msg = f'Parameter declared as source but specified source ' \ |
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f'{param["value"]} has not been parsed yet. ' \ |
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f'Please rectify your definition file.' |
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raise ValidationError(msg) |
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def _parse_params(params: dict, parsed_sources: List[Source]) -> list: |
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result = [] |
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sources_dict = {source.name: source for source in parsed_sources} |
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for param in params: |
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_check_param_type(param) |
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if param['type'] == 'source': |
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_check_source_param_exists(param, sources_dict) |
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param['value'] = sources_dict[param['value']] |
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result.append(param['value']) |
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return result |
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def parse_sources(sources: List[dict]) -> List[Source]: |
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final_sources: List[Source] = [] |
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module = importlib.import_module('decision_engine.sources') |
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for source in sources: |
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class_name = source['class'] |
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class_ = getattr(module, class_name) |
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params = _parse_params(source['params'], final_sources) |
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instance = class_(*params, source['name']) |
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final_sources.append(instance) |
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return final_sources |
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def parse_rules(rules: List[dict], sources: List[Source]) -> List[Rule]: |
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final_rules = [] |
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rules_module = importlib.import_module('decision_engine.rules') |
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comparisons_module = importlib.import_module('decision_engine.comparisons') |
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for rule in rules: |
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rules_class = getattr(rules_module, rule['class']) |
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comparison_class = getattr(comparisons_module, rule['comparison']) |
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# Create a new list containing only the sources named in the rule. |
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rule_sources = [ |
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source for source in sources |
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if source.name in rule['sources'] |
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] |
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instance = rules_class(*rule_sources, comparison_class(), rule['name']) |
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final_rules.append(instance) |
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return final_rules |
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def parse_engines(engines: List[dict], rules: List[Rule]) -> List[Engine]: |
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final_engines = [] |
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for engine in engines: |
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# Create a new list containing only the rules named in the engine. |
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engine_rules = [rule for rule in rules if rule.name in engine['rules']] |
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instance = Engine(engine_rules, engine['name']) |
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final_engines.append(instance) |
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return final_engines |
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def parse_json(definition: dict) -> dict: |
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schema_file = 'schema.json' |
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schema_path = (Path(__file__).parents[0] / schema_file).absolute() |
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schema = load_json_file(str(schema_path)) |
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validate(definition, schema) |
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sources = parse_sources(definition['sources']) |
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rules = parse_rules(definition['rules'], sources) |
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engines = parse_engines(definition['engines'], rules) |
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return {'sources': sources, 'rules': rules, 'engines': engines} |
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def parse_json_file(file: str) -> dict: |
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definition = load_json_file(file) |
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return parse_json(definition) |
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borfast /
decision-engine
