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Remove messytables dependency from xlsx import
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@ -4,6 +4,7 @@ Helper functions for import plugins
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import itertools
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import logging
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import os
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from collections import defaultdict
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import six
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from six.moves import zip
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@ -14,6 +15,20 @@ if six.PY2:
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log = logging.getLogger(__name__)
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def column_count_modal(rows):
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""" Return the modal value of columns in the row_set's
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sample. This can be assumed to be the number of columns
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of the table. """
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counts = defaultdict(int)
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for row in rows:
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length = len([c for c in row if not empty(c)])
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if length > 1:
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counts[length] += 1
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if not len(counts):
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return 0
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return max(list(counts.items()), key=lambda k_v: k_v[1])[0]
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def empty(value):
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""" Stringify the value and check that it has a length. """
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@ -33,7 +48,7 @@ def capitalize(word):
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return word[0].capitalize() + word[1:]
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def _is_numeric(text):
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for t in six.integer_types + (float, complex):
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for t in six.integer_types + (float,):
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try:
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t(text)
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return True
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@ -54,7 +69,6 @@ def _is_header(header, data_rows):
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# If it's all text, see if the values in the first row repeat in other rows. That's uncommon for
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# a header.
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count_repeats = [0 for cell in header]
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for row in data_rows:
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for cell, header_cell in zip(row, header):
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if cell and cell == header_cell:
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@ -78,8 +92,11 @@ def find_first_non_empty_row(rows):
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Returns (data_offset, header) of the first row with non-empty fields
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or (0, []) if there are no non-empty rows.
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"""
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tolerance = 1
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modal = column_count_modal(rows)
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for i, row in enumerate(rows):
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if _count_nonempty(row) > 0:
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length = _count_nonempty(row)
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if length >= modal - tolerance:
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return i + 1, row
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# No non-empty rows.
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return 0, []
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@ -4,7 +4,6 @@ and returns a object formatted so that it can be used by grist for a bulk add re
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"""
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import logging
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import messytables
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import six
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import openpyxl
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from openpyxl.utils.datetime import from_excel
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@ -66,15 +65,10 @@ def parse_open_file(file_obj):
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# `if not any(row)` would be slightly faster, but would count `0` as empty.
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if not set(row) <= {None, ""}
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]
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sample = [
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# Create messytables.Cells for the sake of messytables.headers_guess
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[messytables.Cell(cell) for cell in row]
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# Resetting dimensions via openpyxl causes rows to not be padded. Make sure
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# sample rows are padded; get_table_data will handle padding the rest.
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for row in _with_padding(rows[:1000])
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]
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offset, headers = messytables.headers_guess(sample)
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data_offset = offset + 1 # Add the header line
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# Resetting dimensions via openpyxl causes rows to not be padded. Make sure
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# sample rows are padded; get_table_data will handle padding the rest.
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sample = _with_padding(rows[:1000])
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data_offset, headers = import_utils.headers_guess(sample)
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rows = rows[data_offset:]
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# Make sure all header values are strings.
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@ -13,6 +13,8 @@ def _get_fixture(filename):
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class TestImportXLS(unittest.TestCase):
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maxDiff = None # Display full diff if any.
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def _check_col(self, sheet, index, name, typename, values):
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self.assertEqual(sheet["column_metadata"][index]["id"], name)
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self.assertEqual(sheet["column_metadata"][index]["type"], typename)
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@ -103,17 +105,17 @@ class TestImportXLS(unittest.TestCase):
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'table_name': u'Transaction Report',
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'column_metadata': [
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{'type': 'Any', 'id': u''},
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{'type': 'Numeric', 'id': u'Start'},
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{'type': 'Any', 'id': u''},
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{'type': 'Numeric', 'id': u''},
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{'type': 'Numeric', 'id': u''},
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{'type': 'Any', 'id': u'Seek no easy ways'},
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{'type': 'Any', 'id': u''},
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],
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'table_data': [
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[u'SINGLE MERGED', u'The End'],
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[1637384.52, None],
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[2444344.06, None],
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[2444344.06, None],
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[u'', u''],
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['', u'SINGLE MERGED', u'The End'],
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['Start', '1637384.52', ''],
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[None, 2444344.06, None],
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[None, 2444344.06, None],
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['Seek no easy ways', u'', u''],
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],
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}])
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@ -19,7 +19,6 @@ jdcal==1.4.1
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json_table_schema==0.2.1
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lazy_object_proxy==1.6.0
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lxml==4.6.3 # used in csv plugin only?
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messytables==0.15.2
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python_dateutil==2.8.2
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openpyxl==3.0.10
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python_magic==0.4.12
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