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Backport PR #30977 on branch 1.0.x (JSON Date Handling 1.0 Regressions) #31120

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Merged
merged 1 commit into from
Jan 18, 2020
Merged

Backport PR #30977 on branch 1.0.x (JSON Date Handling 1.0 Regressions) #31120

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122 changes: 76 additions & 46 deletions pandas/_libs/src/ujson/python/objToJSON.c
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Original file line number Diff line number Diff line change
Expand Up @@ -456,8 +456,8 @@ static char *PyDateTimeToIso(PyDateTime_Date *obj, NPY_DATETIMEUNIT base,
static char *PyDateTimeToIsoCallback(JSOBJ obj, JSONTypeContext *tc,
size_t *len) {

if (!PyDateTime_Check(obj)) {
PyErr_SetString(PyExc_TypeError, "Expected datetime object");
if (!PyDate_Check(obj)) {
PyErr_SetString(PyExc_TypeError, "Expected date object");
return NULL;
}

Expand All @@ -469,7 +469,7 @@ static npy_datetime PyDateTimeToEpoch(PyObject *obj, NPY_DATETIMEUNIT base) {
npy_datetimestruct dts;
int ret;

if (!PyDateTime_Check(obj)) {
if (!PyDate_Check(obj)) {
// TODO: raise TypeError
}
PyDateTime_Date *dt = (PyDateTime_Date *)obj;
Expand Down Expand Up @@ -1504,6 +1504,7 @@ char **NpyArr_encodeLabels(PyArrayObject *labels, PyObjectEncoder *enc,
char **ret;
char *dataptr, *cLabel;
int type_num;
NPY_DATETIMEUNIT base = enc->datetimeUnit;
PRINTMARK();

if (!labels) {
Expand Down Expand Up @@ -1541,60 +1542,85 @@ char **NpyArr_encodeLabels(PyArrayObject *labels, PyObjectEncoder *enc,
break;
}

// TODO: vectorized timedelta solution
if (enc->datetimeIso &&
(type_num == NPY_TIMEDELTA || PyDelta_Check(item))) {
PyObject *td = PyObject_CallFunction(cls_timedelta, "(O)", item);
if (td == NULL) {
Py_DECREF(item);
NpyArr_freeLabels(ret, num);
ret = 0;
break;
}

PyObject *iso = PyObject_CallMethod(td, "isoformat", NULL);
Py_DECREF(td);
if (iso == NULL) {
Py_DECREF(item);
NpyArr_freeLabels(ret, num);
ret = 0;
break;
}

cLabel = (char *)PyUnicode_AsUTF8(iso);
Py_DECREF(iso);
len = strlen(cLabel);
} else if (PyTypeNum_ISDATETIME(type_num)) {
NPY_DATETIMEUNIT base = enc->datetimeUnit;
npy_int64 longVal;
int is_datetimelike = 0;
npy_int64 nanosecVal;
if (PyTypeNum_ISDATETIME(type_num)) {
is_datetimelike = 1;
PyArray_VectorUnaryFunc *castfunc =
PyArray_GetCastFunc(PyArray_DescrFromType(type_num), NPY_INT64);
if (!castfunc) {
PyErr_Format(PyExc_ValueError,
"Cannot cast numpy dtype %d to long",
enc->npyType);
}
castfunc(dataptr, &longVal, 1, NULL, NULL);
if (enc->datetimeIso) {
cLabel = int64ToIso(longVal, base, &len);
castfunc(dataptr, &nanosecVal, 1, NULL, NULL);
} else if (PyDate_Check(item) || PyDelta_Check(item)) {
is_datetimelike = 1;
if (PyObject_HasAttrString(item, "value")) {
nanosecVal = get_long_attr(item, "value");
} else {
if (!scaleNanosecToUnit(&longVal, base)) {
// TODO: This gets hit but somehow doesn't cause errors
// need to clean up (elsewhere in module as well)
if (PyDelta_Check(item)) {
nanosecVal = total_seconds(item) *
1000000000LL; // nanoseconds per second
} else {
// datetime.* objects don't follow above rules
nanosecVal = PyDateTimeToEpoch(item, NPY_FR_ns);
}
cLabel = PyObject_Malloc(21); // 21 chars for int64
sprintf(cLabel, "%" NPY_INT64_FMT, longVal);
len = strlen(cLabel);
}
} else if (PyDateTime_Check(item) || PyDate_Check(item)) {
NPY_DATETIMEUNIT base = enc->datetimeUnit;
if (enc->datetimeIso) {
cLabel = PyDateTimeToIso((PyDateTime_Date *)item, base, &len);
}

if (is_datetimelike) {
if (nanosecVal == get_nat()) {
len = 5; // TODO: shouldn't require extra space for terminator
cLabel = PyObject_Malloc(len);
strncpy(cLabel, "null", len);
} else {
cLabel = PyObject_Malloc(21); // 21 chars for int64
sprintf(cLabel, "%" NPY_DATETIME_FMT,
PyDateTimeToEpoch(item, base));
len = strlen(cLabel);
if (enc->datetimeIso) {
// TODO: Vectorized Timedelta function
if ((type_num == NPY_TIMEDELTA) || (PyDelta_Check(item))) {
PyObject *td =
PyObject_CallFunction(cls_timedelta, "(O)", item);
if (td == NULL) {
Py_DECREF(item);
NpyArr_freeLabels(ret, num);
ret = 0;
break;
}

PyObject *iso =
PyObject_CallMethod(td, "isoformat", NULL);
Py_DECREF(td);
if (iso == NULL) {
Py_DECREF(item);
NpyArr_freeLabels(ret, num);
ret = 0;
break;
}

len = strlen(PyUnicode_AsUTF8(iso));
cLabel = PyObject_Malloc(len + 1);
memcpy(cLabel, PyUnicode_AsUTF8(iso), len + 1);
Py_DECREF(iso);
} else {
if (type_num == NPY_DATETIME) {
cLabel = int64ToIso(nanosecVal, base, &len);
} else {
cLabel = PyDateTimeToIso((PyDateTime_Date *)item,
base, &len);
}
}
if (cLabel == NULL) {
Py_DECREF(item);
NpyArr_freeLabels(ret, num);
ret = 0;
break;
}
} else {
cLabel = PyObject_Malloc(21); // 21 chars for int64
sprintf(cLabel, "%" NPY_DATETIME_FMT,
NpyDateTimeToEpoch(nanosecVal, base));
len = strlen(cLabel);
}
}
} else { // Fallback to string representation
PyObject *str = PyObject_Str(item);
Expand All @@ -1615,6 +1641,10 @@ char **NpyArr_encodeLabels(PyArrayObject *labels, PyObjectEncoder *enc,
ret[i] = PyObject_Malloc(len + 1);
memcpy(ret[i], cLabel, len + 1);

if (is_datetimelike) {
PyObject_Free(cLabel);
}

if (PyErr_Occurred()) {
NpyArr_freeLabels(ret, num);
ret = 0;
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