(core) Nicer conversion from numeric to text

Summary: Expanded Text.do_convert for float values

Test Plan: Add python unit test test_numeric_to_text_conversion

Reviewers: jarek

Reviewed By: jarek

Subscribers: dsagal

Differential Revision: https://phab.getgrist.com/D3049
pull/115/head
Alex Hall 3 years ago
parent 383b8ffbf0
commit 02fd71d9bb

@ -650,19 +650,19 @@ class Address:
# Check the values in the summary tables: they should reflect the new formula.
self.assertTableData('GristSummary_7_Address', cols="subset", data=[
[ "id", "city", "state", "count", "amount" ],
[ 1, "New York", "NY" , 3, str(100*(1.+6+11))],
[ 2, "Albany", "NY" , 1, "200.0" ],
[ 3, "Seattle", "WA" , 1, "300.0" ],
[ 4, "Chicago", "IL" , 1, "400.0" ],
[ 5, "Bedford", "MA" , 1, "500.0" ],
[ 6, "Buffalo", "NY" , 1, "700.0" ],
[ 7, "Bedford", "NY" , 1, "800.0" ],
[ 8, "Boston", "MA" , 1, "900.0" ],
[ 9, "Yonkers", "NY" , 1, "1000.0" ],
[ 1, "New York", "NY" , 3, str(100*(1+6+11))],
[ 2, "Albany", "NY" , 1, "200" ],
[ 3, "Seattle", "WA" , 1, "300" ],
[ 4, "Chicago", "IL" , 1, "400" ],
[ 5, "Bedford", "MA" , 1, "500" ],
[ 6, "Buffalo", "NY" , 1, "700" ],
[ 7, "Bedford", "NY" , 1, "800" ],
[ 8, "Boston", "MA" , 1, "900" ],
[ 9, "Yonkers", "NY" , 1, "1000" ],
])
self.assertTableData('GristSummary_7_Address2', cols="subset", data=[
[ "id", "count", "amount"],
[ 1, 11, "6600.0"],
[ 1, 11, "6600"],
])
# Add a new summary table, and check that it gets the new formula.
@ -698,10 +698,10 @@ class Address:
# Verify the summarized data.
self.assertTableData('GristSummary_7_Address3', cols="subset", data=[
[ "id", "state", "count", "amount" ],
[ 1, "NY", 7, str(100*(1.+2+6+7+8+10+11)) ],
[ 2, "WA", 1, "300.0" ],
[ 3, "IL", 1, "400.0" ],
[ 4, "MA", 2, str(500.+900) ],
[ 1, "NY", 7, str(int(100*(1.+2+6+7+8+10+11))) ],
[ 2, "WA", 1, "300" ],
[ 3, "IL", 1, "400" ],
[ 4, "MA", 2, str(500+900) ],
])
#----------------------------------------------------------------------
@ -760,15 +760,15 @@ class Address:
])
])
self.assertTableData('Table1', data=[
[ "id", "manualSort", "A", "B", "C" ],
[ 1, 1.0, "10.0", 1.0, None ],
[ 2, 2.0, "20.0", 2.0, None ],
[ 3, 3.0, "10.0", 3.0, None ],
[ "id", "manualSort", "A", "B", "C" ],
[ 1, 1.0, "10", 1.0, None ],
[ 2, 2.0, "20", 2.0, None ],
[ 3, 3.0, "10", 3.0, None ],
])
self.assertTableData('GristSummary_6_Table1', data=[
[ "id", "A", "group", "count", "B" ],
[ 1, "10.0", [1,3], 2, 4 ],
[ 2, "20.0", [2], 1, 2 ],
[ "id", "A", "group", "count", "B" ],
[ 1, "10", [1,3], 2, 4 ],
[ 2, "20", [2], 1, 2 ],
])
#----------------------------------------------------------------------

@ -117,7 +117,7 @@ class TestTypes(test_engine.EngineTestCase):
"stored": [
["ModifyColumn", "Types", "numeric", {"type": "Text"}],
["BulkUpdateRecord", "Types", [13, 14, 15, 16, 17, 18],
{"numeric": ["False", "True", "1509556595.0", "8.153", "0.0", "1.0"]}],
{"numeric": ["False", "True", "1509556595", "8.153", "0", "1"]}],
["UpdateRecord", "_grist_Tables_column", 22, {"type": "Text"}],
["UpdateRecord", "Formulas", 1, {"division": ["E", "TypeError"]}],
],
@ -170,7 +170,7 @@ class TestTypes(test_engine.EngineTestCase):
"stored": [
["ModifyColumn", "Types", "date", {"type": "Text"}],
["BulkUpdateRecord", "Types", [13, 14, 15, 16, 17, 18],
{"date": ["False", "True", "1509556595.0", "8.153", "0.0", "1.0"]}],
{"date": ["False", "True", "1509556595", "8.153", "0", "1"]}],
["UpdateRecord", "_grist_Tables_column", 25, {"type": "Text"}]
],
"undo": [
@ -188,10 +188,10 @@ class TestTypes(test_engine.EngineTestCase):
[12, u"Chîcágö", u"Chîcágö", u"Chîcágö", u"Chîcágö", u"Chîcágö"],
[13, False, "False", "False", "False", "False"],
[14, True, "True", "True", "True", "True"],
[15, 1509556595, "1509556595.0","1509556595","1509556595","1509556595.0"],
[15, 1509556595, "1509556595","1509556595","1509556595","1509556595"],
[16, 8.153, "8.153", "8.153", "8.153", "8.153"],
[17, 0, "0.0", "0", "False", "0.0"],
[18, 1, "1.0", "1", "True", "1.0"],
[17, 0, "0", "0", "False", "0"],
[18, 1, "1", "1", "True", "1"],
[19, "", "", "", "", ""],
[20, None, None, None, None, None]
])
@ -295,6 +295,120 @@ class TestTypes(test_engine.EngineTestCase):
[20, None, None, None, None, None],
])
def test_numeric_to_text_conversion(self):
"""
Tests text formatting of floats of different sizes.
"""
sample = testutil.parse_test_sample({
"SCHEMA": [
[1, "Types", [
[22, "numeric", "Numeric", False, "", "", ""],
[23, "other", "Text", False, "", "", ""],
]],
],
"DATA": {
"Types": [["id", "numeric"]] + [[i+1, 1.23456789 * 10 ** (i-20)] for i in range(40)]
},
})
self.load_sample(sample)
out_actions = self.apply_user_action(["ModifyColumn", "Types", "numeric", { "type" : "Text" }])
self.assertPartialOutActions(out_actions, {
"stored": [
["ModifyColumn", "Types", "numeric", {"type": "Text"}],
["BulkUpdateRecord", "Types",
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20,
21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40],
{"numeric": ["1.23456789e-20",
"1.23456789e-19",
"1.23456789e-18",
"1.23456789e-17",
"1.23456789e-16",
"1.23456789e-15",
"1.23456789e-14",
"1.23456789e-13",
"1.23456789e-12",
"1.23456789e-11",
"1.23456789e-10",
"1.23456789e-09",
"1.23456789e-08",
"1.23456789e-07",
"1.23456789e-06",
"1.23456789e-05",
"0.000123456789",
"0.00123456789",
"0.0123456789",
"0.123456789",
"1.23456789",
"12.3456789",
"123.456789",
"1234.56789",
"12345.6789",
"123456.789",
"1234567.89",
"12345678.9",
"123456789",
"1234567890",
"12345678900",
"123456789000",
"1234567890000",
"12345678900000",
"123456789000000",
"1234567890000000",
"1.23456789e+16",
"1.23456789e+17",
"1.23456789e+18",
"1.23456789e+19"]}],
["UpdateRecord", "_grist_Tables_column", 22, {"type": "Text"}],
],
"undo": [
["BulkUpdateRecord", "Types",
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20,
21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40],
{"numeric": [1.2345678899999998e-20,
1.2345678899999999e-19,
1.23456789e-18,
1.23456789e-17,
1.2345678899999998e-16,
1.23456789e-15,
1.23456789e-14,
1.23456789e-13,
1.2345678899999998e-12,
1.2345678899999998e-11,
1.2345678899999998e-10,
1.23456789e-09,
1.2345678899999999e-08,
1.23456789e-07,
1.2345678899999998e-06,
1.23456789e-05,
0.000123456789,
0.00123456789,
0.012345678899999999,
0.123456789,
1.23456789,
12.3456789,
123.45678899999999,
1234.5678899999998,
12345.678899999999,
123456.78899999999,
1234567.89,
12345678.899999999,
123456788.99999999,
1234567890.0,
12345678899.999998,
123456788999.99998,
1234567890000.0,
12345678899999.998,
123456788999999.98,
1234567890000000.0,
1.2345678899999998e+16,
1.2345678899999998e+17,
1.23456789e+18,
1.2345678899999998e+19]}],
["ModifyColumn", "Types", "numeric", {"type": "Numeric"}],
["UpdateRecord", "_grist_Tables_column", 22, {"type": "Numeric"}],
]
})
def test_int_conversions(self):
"""

@ -14,6 +14,8 @@ the extra complexity.
import csv
import datetime
import json
import math
import six
import objtypes
from objtypes import AltText
@ -157,6 +159,20 @@ class Text(BaseColumnType):
return value.decode('utf8')
elif value is None:
return None
elif isinstance(value, float) and not (math.isinf(value) or math.isnan(value)):
# Format as integer if possible to avoid scientific notation
# so that strings of digits that aren't meant to represent numbers convert correctly.
# https://stackoverflow.com/questions/1848700/biggest-integer-that-can-be-stored-in-a-double
# says that 2^53+1 is the first integer that isn't accurately stored in a float,
# and it looks like 2^53 so we can't trust that either ;)
if abs(value) < 2 ** 53:
as_int = int(value)
if value == as_int:
return six.text_type(as_int)
# More than 15 digits of precision can make large numbers (e.g. 2^53+1) look as if
# they're represented exactly when they're not
return u"%.15g" % value
else:
return six.text_type(value)

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