Have you tried the documented
interface https://docs.python.org/3.6/c-api/datetime.html
which is to dispense with all that code and use
#import <datetime.h>
|PyDateTime_IMPORT|
which does the right thing on each implementation (CPython - does the
PyCapsule_Import; PyPy - calls _PyDateTime_Import() )
A donation to https://opencollective.com/pypy is always appreciated.
Matti
On 9/9/20 12:12 AM, Niklas B wrote:
Hi,
I’ve been trying to build data science library pyarrow (the arrow
library, for parquet files mainly in my case) for PyPy. I’ve gotten it
working for pypy2 a few years ago, and is now trying for PyPy3.
Overall I get it to build and produce a pyarrow wheel file by
following the arrow instructions. So far so good. I expect a massive
part of pyarrow not to work, but for my case I really only need
`pandas.read_parquet`. However I am stuck trying to figure out how to
use the pyppy cpyext for Datetime.
The code I’m trying to build is:
https://github.com/apache/arrow/blob/maint-0.15.x/cpp/src/arrow/python/datetime.cc#L37 (older
branch, better luck in building it)
Which is basically:
PyDateTime_CAPI* datetime_api = nullptr;
void InitDatetime() {
PyAcquireGIL lock;
datetime_api =
reinterpret_cast<PyDateTime_CAPI*>(PyCapsule_Import(PyDateTime_CAPSULE_NAME,
0));
if (datetime_api == nullptr) {
Py_FatalError("Could not import datetime C API");
}
}
I’ve tried about a million different ways, but I’m way outside my
comfort zone :) I can get it to build by doing:
datetime_api = PyDateTimeAPI;
And also:
datetime_api =
reinterpret_cast<PyDateTime_CAPI*>(PyCapsule_Import("datetime", 0));
And:
datetime_api =
reinterpret_cast<PyDateTime_CAPI*>(PyCapsule_Import("datetime.datetime_CAPI",
0));
But both of these trigger the fatal error in the code after (“could
not import date time C API” or "PyCapsule_Import "datetime" is not
valid” or module 'datetime' has no attribute 'datetime_CAPI')
I will be posting reproducible builds once I get them working.
I am more than happy to pay 300USD to anyone (or to PyPy) who can help
me getting this to run:
Import pandas
d = pandas.read_parquet(‘file.parq’)
Obviously that’s not enough money to cover things but at least it’s
something :) obviously all results and builds will be public
Regards,
Niklas
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