Download baseline/randomizer.py from minhhungg/AutoRestTest-TrackA: direct link, hf CLI and curl.
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https://huggingface.co/datasets/minhhungg/AutoRestTest-TrackA/resolve/main/baseline/randomizer.py
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hf download hf://datasets/minhhungg/AutoRestTest-TrackA/baseline/randomizer.py
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curl -L -o randomizer.py https://huggingface.co/datasets/minhhungg/AutoRestTest-TrackA/resolve/main/baseline/randomizer.py
5.46 kB
| import random | |
| import string | |
| from typing import Dict, List | |
| from specification_parser import ParameterProperties, ItemProperties | |
| class RandomizedSelector: | |
| def __init__(self, parameters: dict, request_body: dict): | |
| self.generate_accurate = random.randint(1, 10) <= 5 | |
| self.dropout_ratio = 0.05 | |
| self.randomized_weight = 0.8 | |
| self.max_arr_length = 2**16 | |
| self.randomization_max_val = 100 | |
| self.generators = {"integer": self.randomize_integer, | |
| "float": self.randomize_float, | |
| "number": self.randomize_float, | |
| "boolean": self.randomize_boolean, | |
| "string" : self.randomize_string, | |
| "array" : self.randomize_array, | |
| "object" : self.randomize_object, | |
| "null": self.randomize_null} | |
| self.parameters: Dict[str, ParameterProperties] = parameters | |
| self.request_body: Dict[str, ItemProperties] = request_body | |
| def use_primitive_generator(self, item_properties: ItemProperties): | |
| if item_properties is None: | |
| return None | |
| generator = self.generators.get(item_properties.type) | |
| if self.should_generate_accurately(): | |
| return generator() if generator else None | |
| else: | |
| return random.choice(list(self.generators.values()))() | |
| def generate_randomized_object(self, item_properties: ItemProperties) -> Dict: | |
| if not item_properties.properties: | |
| return self.generators["object"]() | |
| randomized_object = {} | |
| for item_name, item_values in item_properties.properties.items(): | |
| if self.generate_accurate or not self.is_dropped(): | |
| randomized_object[item_name] = self.randomize_item(item_values) | |
| return randomized_object | |
| def generate_randomized_array(self, item_properties: ItemProperties) -> List: | |
| if not item_properties.items: | |
| return self.generators["array"]() | |
| array_length = self.randomized_array_length() | |
| return [self.randomize_item(item_properties.items) for _ in range(array_length)] | |
| def randomize_item(self, item_properties: ItemProperties): | |
| if item_properties is None: | |
| return None | |
| if item_properties.type in ["object", "array"] and self.should_generate_accurately(): | |
| composite_method = self.generate_randomized_object if item_properties.type == "object" else self.generate_randomized_array | |
| return composite_method(item_properties) | |
| else: | |
| return self.use_primitive_generator(item_properties) | |
| def randomize_parameters(self) -> Dict[str, any]: | |
| query_parameters = {} | |
| for parameter_name, parameter_properties in self.parameters.items(): | |
| if self.is_dropped(): | |
| continue | |
| randomized_value = self.randomize_item(parameter_properties.schema) | |
| query_parameters[parameter_name] = randomized_value | |
| return query_parameters | |
| def randomize_request_body(self): | |
| if self.is_dropped(): | |
| return [] | |
| if isinstance(self.request_body, list): | |
| return [self.randomize_item(item) for item in self.request_body] | |
| elif isinstance(self.request_body, ItemProperties): | |
| return self.randomize_item(self.request_body) | |
| else: | |
| error_msg = "Error parsing request body" | |
| #print(error_msg) | |
| raise ValueError(error_msg) | |
| def should_generate_accurately(self): | |
| return self.generate_accurate or not self.randomize_type() | |
| def randomize_type(self): | |
| return random.randint(1, self.randomization_max_val) < self.randomized_weight * self.randomization_max_val # return accurate | |
| def is_dropped(self): | |
| return random.randint(0, self.randomization_max_val) < self.dropout_ratio * self.randomization_max_val if not self.generate_accurate else False | |
| def randomize_boolean(self): | |
| return random.choice([True, False]) | |
| def randomize_null(self): | |
| return None | |
| def randomize_integer(self): | |
| if random.randint(1, 100) <= 70: | |
| return random.randint(0, 1000) | |
| else: | |
| return random.randint(-(2 ** 10), (2 ** 10)) | |
| def randomize_float(self): | |
| if random.randint(1, 100) <= 70: | |
| return random.uniform(0, 1000) | |
| else: | |
| return random.uniform(-(2 ** 10), (2 ** 10)) | |
| def randomize_string(self): | |
| if random.randint(1, 100) <= 90: | |
| length = random.randint(4, 16) | |
| else: | |
| length = random.randint(1, 100) | |
| return ''.join(random.choices(string.ascii_letters + string.digits, k=length)) | |
| def randomize_array(self): | |
| if random.randint(1, 100) <= 90: | |
| length = random.randint(4, 10) | |
| else: | |
| length = random.randint(0, 50) | |
| return [random.randint(-9999, 9999) for _ in range(length)] | |
| def randomize_object(self): | |
| if random.randint(1, 100) <= 90: | |
| length = random.randint(4, 10) | |
| else: | |
| length = random.randint(0, 50) | |
| return {random.choice(string.ascii_letters): random.randint(-9999, 9999) for _ in range(length)} | |
| def randomized_array_length(self): | |
| if random.randint(0,100) <= 90: | |
| return random.randint(4, 10) | |
| else: | |
| return random.randint(0, 50) | |