from __future__ import annotations

import inspect
import logging
import pickle

import cloudpickle
from packaging.version import parse as parse_version

CLOUDPICKLE_GTE_20 = parse_version(cloudpickle.__version__) >= parse_version("2.0.0")

HIGHEST_PROTOCOL = pickle.HIGHEST_PROTOCOL

logger = logging.getLogger(__name__)


def _always_use_pickle_for(x):
    mod, _, _ = x.__class__.__module__.partition(".")
    if mod == "numpy":
        import numpy as np

        return isinstance(x, np.ndarray)
    elif mod == "pandas":
        import pandas as pd

        return isinstance(x, pd.core.generic.NDFrame)
    elif mod == "builtins":
        return isinstance(x, (str, bytes))
    else:
        return False


def dumps(x, *, buffer_callback=None, protocol=HIGHEST_PROTOCOL):
    """Manage between cloudpickle and pickle

    1.  Try pickle
    2.  If it is short then check if it contains __main__
    3.  If it is long, then first check type, then check __main__
    """
    buffers = []
    dump_kwargs = {"protocol": protocol or HIGHEST_PROTOCOL}
    if dump_kwargs["protocol"] >= 5 and buffer_callback is not None:
        dump_kwargs["buffer_callback"] = buffers.append
    try:
        buffers.clear()
        result = pickle.dumps(x, **dump_kwargs)
        if b"__main__" in result or (
            CLOUDPICKLE_GTE_20
            and getattr(inspect.getmodule(x), "__name__", None)
            in cloudpickle.list_registry_pickle_by_value()
        ):
            if len(result) < 1000 or not _always_use_pickle_for(x):
                buffers.clear()
                result = cloudpickle.dumps(x, **dump_kwargs)
    except Exception:
        try:
            buffers.clear()
            result = cloudpickle.dumps(x, **dump_kwargs)
        except Exception as e:
            logger.info("Failed to serialize %s. Exception: %s", x, e)
            raise
    if buffer_callback is not None:
        for b in buffers:
            buffer_callback(b)
    return result


def loads(x, *, buffers=()):
    try:
        if buffers:
            return pickle.loads(x, buffers=buffers)
        else:
            return pickle.loads(x)
    except Exception:
        logger.info("Failed to deserialize %s", x[:10000], exc_info=True)
        raise
