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Merged
merged 7 commits into from
Jan 18, 2020
Merged

JSON Date Handling 1.0 Regressions #30977

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ce6338e
added test case
WillAyd Jan 13, 2020
efe467b
fixed lack of date support
WillAyd Jan 13, 2020
8ecae44
Fixed null handling
WillAyd Jan 13, 2020
73bf883
Black
WillAyd Jan 13, 2020
2544495
jbrockmendel feedback
WillAyd Jan 13, 2020
22d0abf
Merge remote-tracking branch 'upstream/master' into json-date-regr
WillAyd Jan 15, 2020
c102f5b
Refactor
WillAyd Jan 15, 2020
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19 changes: 14 additions & 5 deletions pandas/_libs/src/ujson/python/objToJSON.c
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Original file line number Diff line number Diff line change
Expand Up @@ -456,7 +456,7 @@ static char *PyDateTimeToIso(PyDateTime_Date *obj, NPY_DATETIMEUNIT base,
static char *PyDateTimeToIsoCallback(JSOBJ obj, JSONTypeContext *tc,
size_t *len) {

if (!PyDateTime_Check(obj)) {
if (!PyDate_Check(obj)) {
PyErr_SetString(PyExc_TypeError, "Expected datetime object");
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should the error message say "date" instead of "datetime"? is the call to PyDateTimeToIso below safe if we have a date and not a datetime?

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Happy to change; was thinking about that myself just didn't want to go down a rabbit hole of cleaning this all up just yet

w.r.t your second question that error check currently doesn't actually raise an error, so I guess it's a no-op (though it probably should do something)

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Changed commented areas to date for now; note the second would segfault if you passed it something that wasn't a date object but I think out of scope to fix here

return NULL;
}
Expand Down Expand Up @@ -1541,9 +1541,12 @@ char **NpyArr_encodeLabels(PyArrayObject *labels, PyObjectEncoder *enc,
break;
}

// TODO: vectorized timedelta solution
if (enc->datetimeIso &&
(type_num == NPY_TIMEDELTA || PyDelta_Check(item))) {
if (PyObject_TypeCheck(item, cls_nat)) {
len = 5; // TODO: shouldn't require extra space for terminator
cLabel = PyObject_Malloc(len);
strncpy(cLabel, "null", len);
} else if (enc->datetimeIso &&
(type_num == NPY_TIMEDELTA || PyDelta_Check(item))) {
PyObject *td = PyObject_CallFunction(cls_timedelta, "(O)", item);
if (td == NULL) {
Py_DECREF(item);
Expand Down Expand Up @@ -1575,7 +1578,13 @@ char **NpyArr_encodeLabels(PyArrayObject *labels, PyObjectEncoder *enc,
enc->npyType);
}
castfunc(dataptr, &longVal, 1, NULL, NULL);
if (enc->datetimeIso) {

if (longVal == get_nat()) {
PRINTMARK();
len = 5; // TODO: shouldn't require extra space for terminator
cLabel = PyObject_Malloc(len);
strncpy(cLabel, "null", len);
} else if (enc->datetimeIso) {
cLabel = int64ToIso(longVal, base, &len);
} else {
if (!scaleNanosecToUnit(&longVal, base)) {
Expand Down
26 changes: 26 additions & 0 deletions pandas/tests/io/json/test_pandas.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
from collections import OrderedDict
import datetime
from datetime import timedelta
from io import StringIO
import json
Expand Down Expand Up @@ -810,6 +811,31 @@ def test_convert_dates(self):
result = read_json(json, typ="series")
tm.assert_series_equal(result, ts)

@pytest.mark.parametrize("date_format", ["epoch", "iso"])
@pytest.mark.parametrize("as_object", [True, False])
@pytest.mark.parametrize(
"date_typ", [datetime.date, datetime.datetime, pd.Timestamp]
)
def test_date_index_and_values(self, date_format, as_object, date_typ):
data = [date_typ(year=2020, month=1, day=1), pd.NaT]
if as_object:
data.append("a")

ser = pd.Series(data, index=data)
result = ser.to_json(date_format=date_format)

if date_format == "epoch":
expected = '{"1577836800000":1577836800000,"null":null}'
else:
expected = (
'{"2020-01-01T00:00:00.000Z":"2020-01-01T00:00:00.000Z","null":null}'
)

if as_object:
expected = expected.replace("}", ',"a":"a"}')

assert result == expected

@pytest.mark.parametrize(
"infer_word",
[
Expand Down