| from copy import deepcopy |
| from typing import Optional, Any, List, Dict |
|
|
| from flows import logging |
| from flows.base_flows.abstract import AtomicFlow |
|
|
| log = logging.get_logger(__name__) |
|
|
|
|
| class CodeTesting(AtomicFlow): |
| REQUIRED_KEYS_CONFIG = [] |
| REQUIRED_KEYS_CONSTRUCTOR = [] |
|
|
| def __init__(self, **kwargs): |
| super().__init__(**kwargs) |
|
|
| def _get_test_data(self, input_data: Dict): |
| """This function retrieves (or generates) input-output pairs that will be used to test the implementation.""" |
| raise NotImplementedError() |
|
|
| def _run_tests(self, input_data: Dict, test_data: Dict) -> Dict[str, Any]: |
| raise NotImplementedError() |
|
|
| @classmethod |
| def instantiate_from_config(cls, config): |
| flow_config = deepcopy(config) |
|
|
| kwargs = {"flow_config": flow_config} |
| kwargs["input_data_transformations"] = cls._set_up_data_transformations(config["input_data_transformations"]) |
| kwargs["output_data_transformations"] = cls._set_up_data_transformations(config["output_data_transformations"]) |
|
|
| |
| return cls(**kwargs) |
|
|
| def run(self, |
| input_data: Dict[str, Any], |
| private_keys: Optional[List[str]] = [], |
| keys_to_ignore_for_hash: Optional[List[str]] = []) -> Dict[str, Any]: |
|
|
| |
| test_data = self._get_test_data(input_data) |
|
|
| |
| response = self._run_tests(input_data, test_data) |
|
|
| return response |
|
|
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
|
|
|
|