66 lines
1.9 KiB
Python
66 lines
1.9 KiB
Python
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import re
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import json
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def parse_header(header):
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regex = re.compile(r"(\w+)(?:{(?:(\d+),)?(\d+)}(?:::(\w+))?)?")
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capture_list = regex.findall(header.strip())
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header_order = []
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lists = {}
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funcs = {}
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for id, min, max, func in capture_list:
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header_order.append(id)
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if max != "":
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lists[id] = (int(min) if min else max, int(max))
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if func != "":
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funcs[id] = func
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return header_order, lists, funcs
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def parse_data(lines, header_order, lists, funcs):
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data_regex = ""
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for id in header_order:
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if id in lists:
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min, max = lists[id]
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if min == max:
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num = '{' + str(max) + '}'
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else:
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num = '{' + str(min) + ',' + str(max) + '}'
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data_regex += rf"(?P<{id}>([^,]+,?){num}),?"
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else:
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data_regex += rf"(?P<{id}>[^,]+),?"
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data_regex = re.compile(data_regex)
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data = []
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for line in lines:
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for match in data_regex.finditer(line.strip()):
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data.append(match.groupdict())
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for elem in data:
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for id in header_order:
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if id in lists:
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elem[id] = [int(num) for num in re.findall(r"\d+",elem[id])]
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if id in funcs:
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if funcs[id] == "sum":
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elem[id] = sum(elem[id])
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elif funcs[id] == "media":
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elem[id] = sum(elem[id]) / len(elem[id])
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return data
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def main():
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for i in range(2,6):
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test_file = f"alunos{i}"
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f = open(f"{test_file}.csv", "r")
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lines = f.readlines()
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header_order, lists, funcs = parse_header(lines[0])
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data = parse_data(lines[1:], header_order, lists, funcs)
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json_file = open(f"{test_file}.json","w")
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json.dump(data,json_file,indent=4,ensure_ascii=False)
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if __name__ == "__main__":
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main()
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