Module `scute.internal.dict_to_NBT`

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import json

from scute.data_types import _NumberType


def encode_value(value):
    out = ""
    # If the value is a NBT number like 1b, get its NBT representation
    if issubclass(type(value), _NumberType):
        out += value.getNbt()
    # If the value is a dict or list, encode it
    elif isinstance(value, dict) or isinstance(value, list):
        out += encode_dict_or_list(value)
    # If the value is a string, just add it
    elif isinstance(value, str):
        escapedValue = value.replace("'", "\\'")
        out += f"'{escapedValue}'"
    # If the value is an int, just add it
    elif isinstance(value, int) or isinstance(value, float):
        out += str(value)

    return out


def encode_dict_or_list(obj):
    out = ""
    index = 0
    if isinstance(obj, dict):
        out = "{"
        # Loop through keys and values of the dict
        for key, value in obj.items():
            if index != 0:
                out += ", "

            # Add the key and value to the output
            out += str(key) + ": "
            out += encode_value(value)
            index += 1

        out += "}"

    elif isinstance(obj, list):
        out += "["
        for value in obj:
            if index != 0:
                out += ", "
            out += encode_value(value)

        out += "]"

    return out


class dtn(json.JSONEncoder):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)

    def encode(self, obj):
        return encode_dict_or_list(obj)


def dict_to_NBT(dic):
    return json.dumps(dic, cls=dtn)

Functions

def dict_to_NBT(dic)

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def dict_to_NBT(dic):
    return json.dumps(dic, cls=dtn)

def encode_dict_or_list(obj)

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def encode_dict_or_list(obj):
    out = ""
    index = 0
    if isinstance(obj, dict):
        out = "{"
        # Loop through keys and values of the dict
        for key, value in obj.items():
            if index != 0:
                out += ", "

            # Add the key and value to the output
            out += str(key) + ": "
            out += encode_value(value)
            index += 1

        out += "}"

    elif isinstance(obj, list):
        out += "["
        for value in obj:
            if index != 0:
                out += ", "
            out += encode_value(value)

        out += "]"

    return out

def encode_value(value)

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def encode_value(value):
    out = ""
    # If the value is a NBT number like 1b, get its NBT representation
    if issubclass(type(value), _NumberType):
        out += value.getNbt()
    # If the value is a dict or list, encode it
    elif isinstance(value, dict) or isinstance(value, list):
        out += encode_dict_or_list(value)
    # If the value is a string, just add it
    elif isinstance(value, str):
        escapedValue = value.replace("'", "\\'")
        out += f"'{escapedValue}'"
    # If the value is an int, just add it
    elif isinstance(value, int) or isinstance(value, float):
        out += str(value)

    return out

Classes

class dtn (*args, **kwargs)

Extensible JSON https://json.org encoder for Python data structures.

Supports the following objects and types by default:

To extend this to recognize other objects, subclass and implement a .default() method with another method that returns a serializable object for o if possible, otherwise it should call the superclass implementation (to raise TypeError).

Constructor for JSONEncoder, with sensible defaults.

If skipkeys is false, then it is a TypeError to attempt encoding of keys that are not str, int, float or None. If skipkeys is True, such items are simply skipped.

If ensure_ascii is true, the output is guaranteed to be str objects with all incoming non-ASCII characters escaped. If ensure_ascii is false, the output can contain non-ASCII characters.

If check_circular is true, then lists, dicts, and custom encoded objects will be checked for circular references during encoding to prevent an infinite recursion (which would cause an RecursionError). Otherwise, no such check takes place.

If allow_nan is true, then NaN, Infinity, and -Infinity will be encoded as such. This behavior is not JSON specification compliant, but is consistent with most JavaScript based encoders and decoders. Otherwise, it will be a ValueError to encode such floats.

If sort_keys is true, then the output of dictionaries will be sorted by key; this is useful for regression tests to ensure that JSON serializations can be compared on a day-to-day basis.

If indent is a non-negative integer, then JSON array elements and object members will be pretty-printed with that indent level. An indent level of 0 will only insert newlines. None is the most compact representation.

If specified, separators should be an (item_separator, key_separator) tuple. The default is (', ', ': ') if indent is None and (',', ': ') otherwise. To get the most compact JSON representation, you should specify (',', ':') to eliminate whitespace.

If specified, default is a function that gets called for objects that can't otherwise be serialized. It should return a JSON encodable version of the object or raise a TypeError.

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class dtn(json.JSONEncoder):
    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)

    def encode(self, obj):
        return encode_dict_or_list(obj)

Ancestors

json.encoder.JSONEncoder

Methods

def encode(self, obj)

Return a JSON string representation of a Python data structure.

>>> from json.encoder import JSONEncoder
>>> JSONEncoder().encode({"foo": ["bar", "baz"]})
'{"foo": ["bar", "baz"]}'

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def encode(self, obj):
    return encode_dict_or_list(obj)