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gristlabs_grist-core/sandbox/grist/imports/import_csv_test.py

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# This Python file uses the following encoding: utf-8
import os
import textwrap
import unittest
from six import BytesIO, text_type
import csv
from imports import import_csv
def _get_fixture(filename):
return os.path.join(os.path.dirname(__file__), "fixtures", filename)
def bytes_io_from_str(string):
if isinstance(string, text_type):
string = string.encode("utf8")
return BytesIO(string)
class TestImportCSV(unittest.TestCase):
def _check_col(self, sheet, index, name, _typename, values):
self.assertEqual(sheet["column_metadata"][index]["id"], name)
# Previously, strings were parsed and types were guessed in CSV imports.
# Now all data is kept as strings and the column type is left as Any
# so that type guessing and parsing can happen elsewhere.
# To avoid updating 85 calls to _check_col, the typename argument was kept but can be ignored,
# and all values are converted back to strings for comparison.
self.assertEqual(sheet["column_metadata"][index]["type"], "Any")
values = [text_type(v) for v in values]
self.assertEqual(sheet["table_data"][index], values)
def _check_num_cols(self, sheet, exp_cols):
self.assertEqual(len(sheet["column_metadata"]), exp_cols)
self.assertEqual(len(sheet["table_data"]), exp_cols)
def test_csv_types(self):
parsed_file = import_csv.parse_file(_get_fixture('test_excel_types.csv'), parse_options='')
sheet = parsed_file[1][0]
self._check_col(sheet, 0, "int1", "Int", [-1234123, '', ''])
self._check_col(sheet, 1, "int2", "Int", [5, '', ''])
self._check_col(sheet, 2, "textint", "Text", ["12345678902345689", '', ''])
self._check_col(sheet, 3, "bigint", "Text", ["320150170634561830", '', ''])
self._check_col(sheet, 4, "num2", "Numeric", ['123456789.1234560000', '', ''])
self._check_col(sheet, 5, "bignum", "Numeric", ['7.22597E+86', '', ''])
self._check_col(sheet, 6, "date1", "DateTime",
[u'12/22/15 11:59 AM', u'', u''])
self._check_col(sheet, 7, "date2", "Date",
[u'December 20, 2015', u'', u''])
self._check_col(sheet, 8, "datetext", "Date",
[u'12/22/2015', u'', u''])
self._check_col(sheet, 9, "datetimetext", "DateTime",
[u'12/22/2015 00:00:00', u'12/22/2015 13:15:00', u'02/27/2018 16:08:39'])
def test_user_parse_options(self):
options = {u'parse_options': {"escapechar": None, "include_col_names_as_headers": True,
"lineterminator": "\n", "skipinitialspace": False,
"limit_rows": False, "quoting": 0, "start_with_row": 1,
"delimiter": ",", "NUM_ROWS":10,
"quotechar": "\"", "doublequote":True}}
parsed_file = import_csv.parse_file(_get_fixture('test_import_csv.csv'),
**options)[1][0]
self._check_num_cols(parsed_file, 5)
self._check_col(parsed_file, 0, "FIRST_NAME", "Text", ['John', 'Tim', 'Jenny', 'Lily'])
self._check_col(parsed_file, 1, "LAST_NAME", "Text", ['Moor', 'Kale', 'Jo', 'Smit'])
self._check_col(parsed_file, 2, "PHONE", "Text", ['201-343-3434', '201.343.3434',
'2013433434', '(201)343-3434'])
self._check_col(parsed_file, 3, "VALUE", "Int", [45, 4545, 0, 4])
self._check_col(parsed_file, 4, "DATE", "DateTime",
[u'2018-02-27 16:08:39 +0000',
u'2018-02-27 16:08:39 +0100',
u'2018-02-27 16:08:39 -0100',
u''])
def test_wrong_cols1(self):
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
name1, name2, name3
a1,b1,c1
a2,b2
a3
"""))
parsed_file = import_csv._parse_open_file(file_obj, parse_options={})[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "name1", "Text", ["a1", "a2", "a3"])
self._check_col(parsed_file, 1, "name2", "Text", ["b1", "b2", ""])
self._check_col(parsed_file, 2, "name3", "Text", ["c1", "", ""])
def test_wrong_cols2(self):
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
name1
a1,b1
a2,b2,c2
"""))
parsed_file = import_csv._parse_open_file(file_obj, parse_options={})[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "name1", "Text", ["a1", "a2"])
self._check_col(parsed_file, 1, "", "Text", ["b1", "b2"])
self._check_col(parsed_file, 2, "", "Text", ["", "c2"])
def test_offset(self):
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
,,,,,,,
name1,name2,name3
a1,b1,c1
a2,b2,c2
a3,b3,c3,d4
"""))
parsed_file = import_csv._parse_open_file(file_obj, parse_options={})[1][0]
self._check_num_cols(parsed_file, 4)
self._check_col(parsed_file, 0, "name1", "Text", ["a1", "a2", "a3"])
self._check_col(parsed_file, 1, "name2", "Text", ["b1", "b2", "b3"])
self._check_col(parsed_file, 2, "name3", "Text", ["c1", "c2", "c3"])
self._check_col(parsed_file, 3, "", "Text", ["", "", "d4"])
def test_offset_no_header(self):
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
4,b1,c1
4,b2,c2
4,b3,c3
"""))
parsed_file = import_csv._parse_open_file(file_obj, parse_options={})[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "", "Int", [4, 4, 4])
self._check_col(parsed_file, 1, "", "Text", ["b1", "b2", "b3"])
self._check_col(parsed_file, 2, "", "Text", ["c1", "c2", "c3"])
def test_empty_headers(self):
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
,,-,-
b,a,a,a,a
b,a,a,a,a
b,a,a,a,a
"""))
parsed_file = import_csv._parse_open_file(file_obj, parse_options={})[1][0]
self._check_num_cols(parsed_file, 5)
self._check_col(parsed_file, 0, "", "Text", ["b", "b", "b"])
self._check_col(parsed_file, 1, "", "Text", ["a", "a", "a"])
self._check_col(parsed_file, 2, "-", "Text", ["a", "a", "a"])
self._check_col(parsed_file, 3, "-", "Text", ["a", "a", "a"])
self._check_col(parsed_file, 4, "", "Text", ["a", "a", "a"])
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
-,-,-,-,-,-
b,a,a,a,a
b,a,a,a,a
b,a,a,a,a
"""))
parsed_file = import_csv._parse_open_file(file_obj, parse_options={})[1][0]
self._check_num_cols(parsed_file, 6)
self._check_col(parsed_file, 0, "-", "Text", ["b", "b", "b"])
self._check_col(parsed_file, 1, "-", "Text", ["a", "a", "a"])
self._check_col(parsed_file, 2, "-", "Text", ["a", "a", "a"])
self._check_col(parsed_file, 3, "-", "Text", ["a", "a", "a"])
self._check_col(parsed_file, 4, "-", "Text", ["a", "a", "a"])
self._check_col(parsed_file, 5, "-", "Text", ["", "", ""])
def test_guess_missing_user_option(self):
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
name1,;name2,;name3
a1,;b1,;c1
a2,;b2,;c2
a3,;b3,;c3
"""))
parse_options = {"delimiter": ';',
"escapechar": None,
"lineterminator": '\r\n',
"quotechar": '"',
"quoting": csv.QUOTE_MINIMAL}
parsed_file = import_csv._parse_open_file(file_obj, parse_options=parse_options)[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "name1,", "Text", ["a1,", "a2,", "a3,"])
self._check_col(parsed_file, 1, "name2,", "Text", ["b1,", "b2,", "b3,"])
self._check_col(parsed_file, 2, "name3", "Text", ["c1", "c2", "c3"])
# Sniffer detects delimiters in order [',', '\t', ';', ' ', ':'],
# so for this file_obj it will be ','
parsed_file = import_csv._parse_open_file(file_obj, parse_options={})[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "name1", "Text", ["a1", "a2", "a3"])
self._check_col(parsed_file, 1, ";name2", "Text", [";b1", ";b2", ";b3"])
self._check_col(parsed_file, 2, ";name3", "Text", [";c1", ";c2", ";c3"])
def test_one_line_file_no_header(self):
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
2,name2,name3
"""))
parsed_file = import_csv._parse_open_file(file_obj, parse_options={})[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "", "Int", [2])
self._check_col(parsed_file, 1, "", "Text", ["name2"])
self._check_col(parsed_file, 2, "", "Text", ["name3"])
def test_one_line_file_with_header(self):
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
name1,name2,name3
"""))
parsed_file = import_csv._parse_open_file(file_obj, parse_options={})[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "name1", "Text", [])
self._check_col(parsed_file, 1, "name2", "Text", [])
self._check_col(parsed_file, 2, "name3", "Text", [])
def test_empty_file(self):
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
"""))
parsed_file = import_csv._parse_open_file(file_obj, parse_options={})
self.assertEqual(parsed_file, ({}, []))
def test_option_num_rows(self):
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
name1,name2,name3
a1,b1,c1
a2,b2,c2
a3,b3,c3
"""))
parse_options = {}
parsed_file = import_csv._parse_open_file(file_obj, parse_options=parse_options)[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "name1", "Text", ['a1', 'a2', 'a3'])
self._check_col(parsed_file, 1, "name2", "Text", ['b1', 'b2', 'b3'])
self._check_col(parsed_file, 2, "name3", "Text", ['c1', 'c2', 'c3'])
parse_options = {"NUM_ROWS": 2}
parsed_file = import_csv._parse_open_file(file_obj, parse_options=parse_options)[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "name1", "Text", ["a1", "a2"])
self._check_col(parsed_file, 1, "name2", "Text", ["b1", "b2"])
self._check_col(parsed_file, 2, "name3", "Text", ["c1", "c2"])
parse_options = {"NUM_ROWS": 10}
parsed_file = import_csv._parse_open_file(file_obj, parse_options=parse_options)[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "name1", "Text", ['a1', 'a2', 'a3'])
self._check_col(parsed_file, 1, "name2", "Text", ['b1', 'b2', 'b3'])
self._check_col(parsed_file, 2, "name3", "Text", ['c1', 'c2', 'c3'])
def test_option_num_rows_no_header(self):
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
,,
,,
a1,1,c1
a2,2,c2
a3,3,c3
"""))
parse_options = {}
parsed_file = import_csv._parse_open_file(file_obj, parse_options=parse_options)[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "", "Text", ['a1', 'a2', 'a3'])
self._check_col(parsed_file, 1, "", "Int", [1, 2, 3])
self._check_col(parsed_file, 2, "", "Text", ['c1', 'c2', 'c3'])
parse_options = {"NUM_ROWS": 2}
parsed_file = import_csv._parse_open_file(file_obj, parse_options=parse_options)[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "", "Text", ['a1', 'a2'])
self._check_col(parsed_file, 1, "", "Int", [1, 2])
self._check_col(parsed_file, 2, "", "Text", ['c1', 'c2'])
def test_option_use_col_name_as_header(self):
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
name1,name2,name3
a1,1,c1
a2,2,c2
a3,3,c3
"""))
parse_options = {"include_col_names_as_headers": False}
parsed_file = import_csv._parse_open_file(file_obj, parse_options=parse_options)[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "", "Text", ["name1", "a1", "a2", "a3"])
self._check_col(parsed_file, 1, "", "Text", ["name2", "1", "2", "3"])
self._check_col(parsed_file, 2, "", "Text", ["name3", "c1", "c2", "c3"])
parse_options = {"include_col_names_as_headers": True}
parsed_file = import_csv._parse_open_file(file_obj, parse_options=parse_options)[1][0]
self._check_num_cols(parsed_file, 3)
self._check_col(parsed_file, 0, "name1", "Text", ["a1", "a2", "a3"])
self._check_col(parsed_file, 1, "name2", "Int", [1, 2, 3])
self._check_col(parsed_file, 2, "name3", "Text", ["c1", "c2", "c3"])
def test_option_use_col_name_as_header_no_headers(self):
file_obj = bytes_io_from_str(textwrap.dedent(
"""\
,,,
,,,
n1,2,n3
a1,1,c1,d1
a2,4,c2
a3,5,c3
"""))
parse_options = {"include_col_names_as_headers": False}
parsed_file = import_csv._parse_open_file(file_obj, parse_options=parse_options)[1][0]
self._check_num_cols(parsed_file, 4)
self._check_col(parsed_file, 0, "", "Text", ["n1", "a1", "a2", "a3"])
self._check_col(parsed_file, 1, "", "Int", [2, 1, 4, 5])
self._check_col(parsed_file, 2, "", "Text", ["n3", "c1", "c2", "c3"])
self._check_col(parsed_file, 3, "", "Text", ["", "d1", "", ""])
parse_options = {"include_col_names_as_headers": True}
parsed_file = import_csv._parse_open_file(file_obj, parse_options=parse_options)[1][0]
self._check_num_cols(parsed_file, 4)
self._check_col(parsed_file, 0, "n1", "Text", ["a1", "a2", "a3"])
self._check_col(parsed_file, 1, "2", "Int", [1, 4, 5])
self._check_col(parsed_file, 2, "n3", "Text", ["c1", "c2", "c3"])
self._check_col(parsed_file, 3, "", "Text", [ "d1", "", ""])
def test_csv_with_very_long_cell(self):
parsed_file = import_csv.parse_file(_get_fixture('test_long_cell.csv'), parse_options='')
sheet = parsed_file[1][0]
long_cell = sheet["table_data"][1][0]
self.assertEqual(len(long_cell), 8058)
self._check_col(sheet, 0, "ID", "Int", [17])
self._check_col(sheet, 1, "LongText", "Text", [long_cell])
def test_csv_with_surprising_isdigit(self):
parsed_file = import_csv.parse_file(_get_fixture('test_isdigit.csv'), parse_options='')
sheet = parsed_file[1][0]
self._check_num_cols(sheet, 3)
self._check_col(sheet, 0, "PHONE", "Text", [u'201-¾᠓𑄺꤈꤈꧐꤆'])
self._check_col(sheet, 1, "VALUE", "Text", [u'¹5'])
self._check_col(sheet, 2, "DATE", "Text", [u'2018-0²-27 16:08:39 +0000'])
if __name__ == '__main__':
unittest.main()
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