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from Utilities import FolderProcessor, ConfigureLoader
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from Utilities.Database import DatabaseLoader
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CONFIG_FILES_PATH = "DatasetConfigs/"
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CRAWLED_DATA_PATH = "CrawledData/"
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PROCESSED_DATA_PATH = "ProcessedData/"
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CRAWLER_LIB_PATH = "DatasetCrawler."
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PROCESSOR_LIB_PATH = "DatasetProcessing."
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def crawl_data(config):
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dataset_name = config["dataset-name"]
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my_function = __import__(CRAWLER_LIB_PATH + dataset_name + "Crawler",globals(),locals(),['crawl']).crawl
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my_function(config)
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dataset_name += '/'
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def process_data(dataset_name):
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dataset_path = dataset_name + '/'
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process_file_func = __import__(PROCESSOR_LIB_PATH + dataset_name + "Processor",globals(),locals(),
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['process_file']).process_file
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# get all not processed files from dataset
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not_processed_files = FolderProcessor.list_of_all_files(CRAWLED_DATA_PATH + dataset_path)
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# process every file
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for not_processed_file in not_processed_files:
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# call processing for one file in dataset
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process_file_func(CRAWLED_DATA_PATH + dataset_path + not_processed_file)
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FolderProcessor.update_ignore_set(CRAWLED_DATA_PATH + dataset_path, not_processed_file)
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def load_data_to_database(config):
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dataset_name = config["dataset-name"]
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dataset_path = dataset_name + '/'
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# get all unprocessed files from dataset
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not_loaded_files = FolderProcessor.list_of_all_files(PROCESSED_DATA_PATH + dataset_path)
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# load every file
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for not_loaded_file in not_loaded_files:
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# load processed data
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processed_data = DatabaseLoader.get_data_from_file(PROCESSED_DATA_PATH + dataset_path + not_loaded_file,
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config["devices"])
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# load processed data to database
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DatabaseLoader.load_data_to_database(dataset_name, processed_data)
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FolderProcessor.update_ignore_set(PROCESSED_DATA_PATH + dataset_path, not_loaded_file)
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def run_full_pipeline(dataset_name):
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config = ConfigureLoader.load_configuration(CONFIG_FILES_PATH + dataset_name)
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crawl_data(config)
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process_data(config["dataset-name"])
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load_data_to_database(config)
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