import importlib
import inspect
import json
import os
import sys
import warnings
from inspect import getmembers, isfunction

from tssearch.utils.distances_settings import load_json


def add_distance_json(distances_path, json_path):
    """Adds new distance to features.json.
    Parameters
    ----------
    distances_path: string
        Personal Python module directory containing new distances implementation.
    json_path: string
        Personal .json file directory containing existing disatnces from TSSEARCH.
        New customised distances will be added to file in this directory.
    """

    sys.path.append(distances_path[: -len(distances_path.split(os.sep)[-1]) - 1])
    exec("import " + distances_path.split(os.sep)[-1][:-3])

    # Reload module containing the new features
    importlib.reload(sys.modules[distances_path.split(os.sep)[-1][:-3]])
    exec("import " + distances_path.split(os.sep)[-1][:-3] + " as pymodule")

    # Functions from module containing the new features
    functions_list = [o for o in getmembers(locals()["pymodule"]) if isfunction(o[1])]
    function_names = [fname[0] for fname in functions_list]

    # Check if @set_domain was declared on features module
    vset_domain = False

    for fname, f in list(locals()["pymodule"].__dict__.items()):

        if getattr(f, "domain", None) is not None:

            vset_domain = True

            # Access to personal features.json
            feat_json = load_json(json_path)

            # Assign domain and tag
            domain = getattr(f, "domain", None)

            # Feature specifications
            # Description
            if f.__doc__ is not None:
                descrip = f.__doc__.split("\n")[0]
            else:
                descrip = ""
            # Feature usage
            use = "yes"
            # Feature function arguments
            args_name = inspect.getfullargspec(f)[0]

            # Access feature parameters
            if args_name != "":
                # Retrieve default values of arguments
                spec = inspect.getfullargspec(f)
                defaults = dict(zip(spec.args[::-1], (spec.defaults or ())[::-1]))
                defaults.update(spec.kwonlydefaults or {})

                for p in args_name[1:]:
                    if p not in list(defaults.keys()):
                        defaults[p] = None
                if len(defaults) == 0:
                    defaults = ""
            else:
                defaults = ""

            # Settings of new feature
            new_feature = {"description": descrip, "parameters": defaults, "function": fname, "use": use}

            # Check if domain exists
            try:
                feat_json[domain][fname] = new_feature
            except KeyError:
                feat_json[domain] = {fname: new_feature}

            # Write new feature on json file
            with open(json_path, "w") as fout:
                json.dump(feat_json, fout, indent=" ")

            print("Feature " + str(fname) + " was added.")

    if vset_domain is False:
        warnings.warn("No features were added. Please declare @set_domain.", stacklevel=2)

import importlib
import inspect
import json
import os
import sys
import warnings
from inspect import getmembers, isfunction

from tssearch.utils.distances_settings import load_json


def add_distance_json(distances_path, json_path):
    """Adds new distance to features.json.
    Parameters
    ----------
    distances_path: string
        Personal Python module directory containing new distances implementation.
    json_path: string
        Personal .json file directory containing existing disatnces from TSSEARCH.
        New customised distances will be added to file in this directory.
    """

    sys.path.append(distances_path[: -len(distances_path.split(os.sep)[-1]) - 1])
    exec("import " + distances_path.split(os.sep)[-1][:-3])

    # Reload module containing the new features
    importlib.reload(sys.modules[distances_path.split(os.sep)[-1][:-3]])
    exec("import " + distances_path.split(os.sep)[-1][:-3] + " as pymodule")

    # Functions from module containing the new features
    functions_list = [o for o in getmembers(locals()["pymodule"]) if isfunction(o[1])]
    function_names = [fname[0] for fname in functions_list]

    # Check if @set_domain was declared on features module
    vset_domain = False

    for fname, f in list(locals()["pymodule"].__dict__.items()):

        if getattr(f, "domain", None) is not None:

            vset_domain = True

            # Access to personal features.json
            feat_json = load_json(json_path)

            # Assign domain and tag
            domain = getattr(f, "domain", None)

            # Feature specifications
            # Description
            if f.__doc__ is not None:
                descrip = f.__doc__.split("\n")[0]
            else:
                descrip = ""
            # Feature usage
            use = "yes"
            # Feature function arguments
            args_name = inspect.getfullargspec(f)[0]

            # Access feature parameters
            if args_name != "":
                # Retrieve default values of arguments
                spec = inspect.getfullargspec(f)
                defaults = dict(zip(spec.args[::-1], (spec.defaults or ())[::-1]))
                defaults.update(spec.kwonlydefaults or {})

                for p in args_name[1:]:
                    if p not in list(defaults.keys()):
                        defaults[p] = None
                if len(defaults) == 0:
                    defaults = ""
            else:
                defaults = ""

            # Settings of new feature
            new_feature = {"description": descrip, "parameters": defaults, "function": fname, "use": use}

            # Check if domain exists
            try:
                feat_json[domain][fname] = new_feature
            except KeyError:
                feat_json[domain] = {fname: new_feature}

            # Write new feature on json file
            with open(json_path, "w") as fout:
                json.dump(feat_json, fout, indent=" ")

            print("Feature " + str(fname) + " was added.")

    if vset_domain is False:
        warnings.warn("No features were added. Please declare @set_domain.", stacklevel=2)

Adds new distance to features.json.     Parameters     ----------     distances_path: string         Personal Python module directory containing new distances implementation.     json_path: string         Personal .json file directory containing existing disatnces from TSSEARCH.         New customised distances will be added to file in this directory. # Reload module containing the new features # Functions from module containing the new features # Check if @set_domain was declared on features module # Access to personal features.json # Assign domain and tag # Feature specifications # Description # Feature usage # Feature function arguments # Access feature parameters # Retrieve default values of arguments # Settings of new feature # Check if domain exists # Write new feature on json file