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[ update ]: Cythonize Machine Learning Utilities
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import json
# Json Processor
class JSONProcessor:
def __init__(self, input_file: str, output_file: str) -> None:
self.input_file: str = input_file
self.output_file: str = output_file
self.data = None
def load_json(self) -> None:
with open(self.input_file, 'r') as file:
self.data = json.load(file)
def extract_symbols(self) -> list:
if self.data is None:
raise ValueError("data not loaded. call load_json() first.")
quotes = self.data['finance']['result'][0]['quotes']
return [quote['symbol'] for quote in quotes]
def save_json(self, data: list) -> None:
with open(self.output_file, 'w') as file:
json.dump({'symbols': data}, file, indent = 4)
print(f'saved: {self.output_file}')
def main():
input_file = './postman/response.json'
output_file = './postman/symbols.json'
processor = JSONProcessor(input_file, output_file)
processor.load_json()
symbols = processor.extract_symbols()
processor.save_json(symbols)
if __name__ == "__main__": main()