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Fix:csv parse in Table (#11870)
### What problem does this PR solve? change: csv parse in Table ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
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@ -15,6 +15,8 @@
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#
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import copy
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import csv
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import io
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import logging
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import re
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from io import BytesIO
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@ -323,7 +325,7 @@ def chunk(filename, binary=None, from_page=0, to_page=10000000000, lang="Chinese
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callback(0.1, "Start to parse.")
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excel_parser = Excel()
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dfs = excel_parser(filename, binary, from_page=from_page, to_page=to_page, callback=callback)
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elif re.search(r"\.(txt|csv)$", filename, re.IGNORECASE):
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elif re.search(r"\.txt$", filename, re.IGNORECASE):
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callback(0.1, "Start to parse.")
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txt = get_text(filename, binary)
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lines = txt.split("\n")
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@ -344,7 +346,33 @@ def chunk(filename, binary=None, from_page=0, to_page=10000000000, lang="Chinese
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callback(0.3, ("Extract records: {}~{}".format(from_page, min(len(lines), to_page)) + (f"{len(fails)} failure, line: %s..." % (",".join(fails[:3])) if fails else "")))
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dfs = [pd.DataFrame(np.array(rows), columns=headers)]
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elif re.search(r"\.csv$", filename, re.IGNORECASE):
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callback(0.1, "Start to parse.")
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txt = get_text(filename, binary)
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delimiter = kwargs.get("delimiter", ",")
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reader = csv.reader(io.StringIO(txt), delimiter=delimiter)
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all_rows = list(reader)
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if not all_rows:
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raise ValueError("Empty CSV file")
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headers = all_rows[0]
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fails = []
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rows = []
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for i, row in enumerate(all_rows[1 + from_page : 1 + to_page]):
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if len(row) != len(headers):
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fails.append(str(i + from_page))
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continue
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rows.append(row)
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callback(
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0.3,
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(f"Extract records: {from_page}~{from_page + len(rows)}" +
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(f"{len(fails)} failure, line: {','.join(fails[:3])}..." if fails else ""))
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)
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dfs = [pd.DataFrame(rows, columns=headers)]
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else:
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raise NotImplementedError("file type not supported yet(excel, text, csv supported)")
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