Skip to main content

This Package Parses FxDC file and returns the object

Project description

FedxD Data Container (FxDC)

Preview

It is used to convert a FxDC string to FxDC object than can be parsed

FxDC String

name|str = "John"
age|int = 23
address|dict:
	street|str = "123 Main St"
	city|str = "New York"
phone|list:
	a|str = "555-1234"
	b|str = "555-4567"

It Can be Converted To a FxDC class Object or a Json Supported Dictionary

Converted Json Dictionary

{
    "name": "John",
    "age": 23,
    "address": {
        "street": "123 Main St",
        "city": "New York"
    },
    "phone": [
        "555-1234",
        "555-4567"
    ]
}

Get Started

  1. install the python pacakge pip install fxdc
  2. import fxdc import fxdc
  3. Enjoy

Syntax

Basic Syntax

name="John"
age=12
salary=1000.00

Type Hinting Syntax

name|str="John"
age|int=12
is_male|bool=1
salary|float=1000.00

Some Types Can Only Be Accessed By Type Hinting Like Bool, List And Custom Classes

MultiLine Variable

mydict:
	name|str="John"
	age|int=12

Multi Line Variables Without Type Hinting Is a Python Dict. Indentation Is Required to Diffrentiate B/w variables

List Syntax

List Syntax is a Bit More Complicated. The Variable Name is ignored when using list and only the value and type is noted

mylist|list:
	a=100
	b="john"
	c=1203.323
	d|bool="False"

Python Output

[100, "john", 1203.323, False]

Nested Variables

members|list:
	a|dict:
		name="John"
		age=10
	b:
		name="Micheal"
		age = 120

Python Output

[
	{
		"name": "John",
		"age": 10
	},
	{
		"name": "Micheal",
		"age": 120
	}
]

Custom Class Types

Class

class MyClass:
	def __init__(self, name, age):
		self.name = name
		self.age = age
	def __repr__(self):
		return f"<{self.name}: {self.age}>"

FxDC File

main|MyClass:
	name="john"
	age=23

You Can Also Put Custom Name For Class

from fxdc import Config

class MyClass:
	def __init__(self, name, age):
		self.name = name
		self.age = age
	def __repr__(self):
		return f"<{self.name}: {self.age}>"

Config.add_class("MyDopeClass", MyClass)

FxDC File

main|MyDopeClass:
	name="john"
	age=23

In Order To Make Bot Use Custom Class U Need To Add The Class To Config

from fxdc import Config

Config.add_class("MyClass", MyClass) #Name of Class, Class

This Will Ensure The Initializing Of The Class When Loading the FxDC container

You Can Have a to_data() function and from_data() function to get and put information to make the class object. from_data() should be of @staticmethod

class MyClass:
	def __init__(self, name, age):
		self.name = name
		self.age = age
		self.salary = age * 2
	def __repr__(self):
		return f"<{self.name}: {self.age}>"
	def to_data(self) -> dict:
		return {
			"name": self.name,
			"age": self.age
		}
	@staticmethod
	def from_data(**kwargs) -> "MyClass":
		return MyClass(kwargs["name"], kwargs["age"])

Usage

Converting FxDC to Class Object

From File

import fxdc

fxdcobject = fxdc.load("main.fxdc") #Name of the File

OR

import fxdc

with open("main.fxdc", "w") as f:
	fxdcobject = fxdc.load(f)

From String

fxdcstring = """
name|str = "John"
age|int = 23
address|dict:
	street|str = "123 Main St"
	city|str = "New York"
phone|list:
	a|str = "555-1234"
	b|str = "555-4567"
"""

from fxdc import loads

fxdcobject = loads(fxdcstring)

Converting Class Object To FxDC

You Can Put Any Type of object to convert to FxDC including strings and custom objects

Class Object

class MyClass:
	def __init__(self, name:str, age:int):
		self.name = name
		self.age = age

	def __repr__(self):
		return f"{self.name}: {self.age}"
	
from fxdc import dumps

obj = MyClass("John", 23)

fxdcstring = dumps(obj)
print(fxdcstring)
main|MyClass:
        name|str="John"
        age|int=20

It Also Inputs The Same Class And Can Auto Convert To That Class

Error

Recursion Error

Incase of recursion error just do the following to increase the recursion limit

from fxdc import Config

Config.set_recursion_limit(10000) #Default is 5000 U Can Increase That

Credits

All Packages Made And Manages by FedxD

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fxdc-1.0.1.tar.gz (9.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fxdc-1.0.1-py3-none-any.whl (10.6 kB view details)

Uploaded Python 3

File details

Details for the file fxdc-1.0.1.tar.gz.

File metadata

  • Download URL: fxdc-1.0.1.tar.gz
  • Upload date:
  • Size: 9.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for fxdc-1.0.1.tar.gz
Algorithm Hash digest
SHA256 f2079dac14f546672cdbfa651cfb6124b1f54bb37c58406d741e5eef816983bd
MD5 a25edb6a745d308103983a13eaaa1edf
BLAKE2b-256 ef1fc15ca9a0a908ca9689a3d0d2e7ac97142d5f2b9c7ab0f49a7ff67a7ef324

See more details on using hashes here.

File details

Details for the file fxdc-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: fxdc-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 10.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for fxdc-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3c148ce4919702dee355ebf3b6697c9e3f5a3d87bc4f20afe70a1e52c7aff463
MD5 cd6b01b46672889293a9aa6ef6313939
BLAKE2b-256 32118aca81524ab97d74ed1c67201ed56425ca981da4ee707b958d9dfa45ca8e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page