from cpython.datetime cimport (
    PyDateTime_DATE_GET_HOUR,
    PyDateTime_DATE_GET_MICROSECOND,
    PyDateTime_DATE_GET_MINUTE,
    PyDateTime_DATE_GET_SECOND,
    PyDateTime_GET_DAY,
    PyDateTime_GET_MONTH,
    PyDateTime_GET_YEAR,
    PyDateTime_IMPORT,
)
from cpython.object cimport (
    Py_EQ,
    Py_GE,
    Py_GT,
    Py_LE,
    Py_LT,
    Py_NE,
)

PyDateTime_IMPORT

from numpy cimport int64_t

from pandas._libs.tslibs.util cimport get_c_string_buf_and_size


cdef extern from "src/datetime/np_datetime.h":
    int cmp_npy_datetimestruct(npy_datetimestruct *a,
                               npy_datetimestruct *b)

    npy_datetime npy_datetimestruct_to_datetime(NPY_DATETIMEUNIT fr,
                                                npy_datetimestruct *d) nogil

    void pandas_datetime_to_datetimestruct(npy_datetime val,
                                           NPY_DATETIMEUNIT fr,
                                           npy_datetimestruct *result) nogil

    void pandas_timedelta_to_timedeltastruct(npy_timedelta val,
                                             NPY_DATETIMEUNIT fr,
                                             pandas_timedeltastruct *result
                                             ) nogil

    npy_datetimestruct _NS_MIN_DTS, _NS_MAX_DTS

cdef extern from "src/datetime/np_datetime_strings.h":
    int parse_iso_8601_datetime(const char *str, int len, int want_exc,
                                npy_datetimestruct *out,
                                int *out_local, int *out_tzoffset)


# ----------------------------------------------------------------------
# numpy object inspection

cdef inline npy_datetime get_datetime64_value(object obj) nogil:
    """
    returns the int64 value underlying scalar numpy datetime64 object

    Note that to interpret this as a datetime, the corresponding unit is
    also needed.  That can be found using `get_datetime64_unit`.
    """
    return (<PyDatetimeScalarObject*>obj).obval


cdef inline npy_timedelta get_timedelta64_value(object obj) nogil:
    """
    returns the int64 value underlying scalar numpy timedelta64 object
    """
    return (<PyTimedeltaScalarObject*>obj).obval


cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) nogil:
    """
    returns the unit part of the dtype for a numpy datetime64 object.
    """
    return <NPY_DATETIMEUNIT>(<PyDatetimeScalarObject*>obj).obmeta.base

# ----------------------------------------------------------------------
# Comparison


cdef inline bint cmp_scalar(int64_t lhs, int64_t rhs, int op) except -1:
    """
    cmp_scalar is a more performant version of PyObject_RichCompare
    typed for int64_t arguments.
    """
    if op == Py_EQ:
        return lhs == rhs
    elif op == Py_NE:
        return lhs != rhs
    elif op == Py_LT:
        return lhs < rhs
    elif op == Py_LE:
        return lhs <= rhs
    elif op == Py_GT:
        return lhs > rhs
    elif op == Py_GE:
        return lhs >= rhs


class OutOfBoundsDatetime(ValueError):
    pass


cdef inline check_dts_bounds(npy_datetimestruct *dts):
    """Raises OutOfBoundsDatetime if the given date is outside the range that
    can be represented by nanosecond-resolution 64-bit integers."""
    cdef:
        bint error = False

    if (dts.year <= 1677 and
            cmp_npy_datetimestruct(dts, &_NS_MIN_DTS) == -1):
        error = True
    elif (dts.year >= 2262 and
          cmp_npy_datetimestruct(dts, &_NS_MAX_DTS) == 1):
        error = True

    if error:
        fmt = (f'{dts.year}-{dts.month:02d}-{dts.day:02d} '
               f'{dts.hour:02d}:{dts.min:02d}:{dts.sec:02d}')
        raise OutOfBoundsDatetime(f'Out of bounds nanosecond timestamp: {fmt}')


# ----------------------------------------------------------------------
# Conversion

cdef inline int64_t dtstruct_to_dt64(npy_datetimestruct* dts) nogil:
    """Convenience function to call npy_datetimestruct_to_datetime
    with the by-far-most-common frequency NPY_FR_ns"""
    return npy_datetimestruct_to_datetime(NPY_FR_ns, dts)


cdef inline void dt64_to_dtstruct(int64_t dt64,
                                  npy_datetimestruct* out) nogil:
    """Convenience function to call pandas_datetime_to_datetimestruct
    with the by-far-most-common frequency NPY_FR_ns"""
    pandas_datetime_to_datetimestruct(dt64, NPY_FR_ns, out)
    return


cdef inline void td64_to_tdstruct(int64_t td64,
                                  pandas_timedeltastruct* out) nogil:
    """Convenience function to call pandas_timedelta_to_timedeltastruct
    with the by-far-most-common frequency NPY_FR_ns"""
    pandas_timedelta_to_timedeltastruct(td64, NPY_FR_ns, out)
    return


cdef inline int64_t pydatetime_to_dt64(datetime val,
                                       npy_datetimestruct *dts):
    """
    Note we are assuming that the datetime object is timezone-naive.
    """
    dts.year = PyDateTime_GET_YEAR(val)
    dts.month = PyDateTime_GET_MONTH(val)
    dts.day = PyDateTime_GET_DAY(val)
    dts.hour = PyDateTime_DATE_GET_HOUR(val)
    dts.min = PyDateTime_DATE_GET_MINUTE(val)
    dts.sec = PyDateTime_DATE_GET_SECOND(val)
    dts.us = PyDateTime_DATE_GET_MICROSECOND(val)
    dts.ps = dts.as = 0
    return dtstruct_to_dt64(dts)


cdef inline void pydate_to_dtstruct(date val, npy_datetimestruct *dts):
    dts.year = PyDateTime_GET_YEAR(val)
    dts.month = PyDateTime_GET_MONTH(val)
    dts.day = PyDateTime_GET_DAY(val)
    dts.hour = dts.min = dts.sec = dts.us = 0
    dts.ps = dts.as = 0
    return

cdef inline int64_t pydate_to_dt64(date val, npy_datetimestruct *dts):
    pydate_to_dtstruct(val, dts)
    return dtstruct_to_dt64(dts)


cdef inline int _string_to_dts(str val, npy_datetimestruct* dts,
                               int* out_local, int* out_tzoffset,
                               bint want_exc) except? -1:
    cdef:
        Py_ssize_t length
        const char* buf

    buf = get_c_string_buf_and_size(val, &length)
    return parse_iso_8601_datetime(buf, length, want_exc,
                                   dts, out_local, out_tzoffset)
