Started smarter type conversion

# Marshmallow fields

from marshmallow.fields import *

# Marshmallow fields to JSON schema types

# Note: We shouldn't ever need to use this directly. We should go via the apispec converter

from apispec.ext.marshmallow.field_converter import DEFAULT_FIELD_MAPPING

# Extra standard library Python types

from datetime import date, datetime, time, timedelta

from decimal import Decimal

from typing import Dict, List, Tuple, Union

from uuid import UUID

# TODO: Use this to convert arbitrary dictionary into its own schema, for W3C TD

# Python types to Marshmallow fields

DEFAULT_TYPE_MAPPING = {

    bool: Boolean,

    date: Date,

    datetime: DateTime,

    Decimal: Decimal,

    float: Float,

    int: Integer,

    str: String,

    time: Time,

    timedelta: TimeDelta,

    UUID: UUID,

    dict: Dict,

    Dict: Dict,

}

# Functions to handle conversion of common Python types into serialisable Python types

def ndarray_to_list(o):

    return o.tolist()

def to_int(o):

    return int(o)

def to_float(o):

    return float(o)

def to_string(o):

    return str(o)

# Map of Python type conversions

DEFAULT_TYPE_CONVERSIONS = {

    "numpy.ndarray": ndarray_to_list,

    "numpy.int": to_int,

    "fractions.Fraction": to_float,

}

# Use with [x.__module__+"."+x.__name__ for x in inspect.getmro(type(POSSIBLE_MATCHER))]