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from Utilities import folder_processor
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from Utilities.Crawler import basic_crawler_functions
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from shared_types import ConfigType
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# Path to crawled data
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CRAWLED_DATA_PATH = "CrawledData/"
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def crawl(config: ConfigType):
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"""
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Implement crawl method that downloads new data to path_for_files
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For keeping the project structure
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url , regex, and dataset_name from config
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You can use already implemented functions from Utilities/Crawler/basic_crawler_functions.py
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Args:
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config: loaded configuration file of dataset
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"""
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dataset_name = config["dataset-name"]
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url = config['url']
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regex = config['regex']
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path_for_files = CRAWLED_DATA_PATH + dataset_name + '/'
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first_level_links = basic_crawler_functions.get_all_links(url)
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filtered_first_level_links = basic_crawler_functions.filter_links(
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first_level_links, "^OD_ZCU")
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absolute_first_level_links = basic_crawler_functions.create_absolute_links(
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filtered_first_level_links, url)
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files = []
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for link in absolute_first_level_links:
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second_level_links = basic_crawler_functions.get_all_links(link)
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filtered_second_level_links = basic_crawler_functions.filter_links(
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second_level_links, regex)
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absolute_second_level_links = basic_crawler_functions.create_absolute_links(
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filtered_second_level_links, link)
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for file_link in absolute_second_level_links:
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files.append(file_link)
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files = basic_crawler_functions.remove_downloaded_links(
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files, dataset_name)
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for file in files:
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basic_crawler_functions.download_file_from_url(file, dataset_name)
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folder_processor.unzip_all_csv_zip_files_in_folder(path_for_files)
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