"""

    AUTHOR:

        Khushal P Soonderji

    DATE:

        Saturday, 21st Dec., 2024.

    OBJECTIVE:

        To provide a data model for describing the tokens to be used for Google's APIs.

    REFERENCES:

        N/A

    DOWNLOADS:

        N/A

"""


#   *****************************************************************************************************************
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# ***                                                   IMPORT                                                      ***
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# To make sibling directories accessible for imports:
import sys
sys.path.append(".")
sys.path.append("..")

# For making data behaviour_models:
from pydantic import BaseModel, Field, field_validator, model_validator, AwareDatetime
from typing import Optional, Literal, Union, Dict, List, Any

# Related to Google:
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials

# My utils:
from utils_v2.string import json
from utils_v2.string import regex
from utils_v2.date_time import date_time

# To work with date and time:
import datetime
import dateparser

# To make API calls:
import httpx


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# ***                                           MACROS / ONE-TIME INIT                                              ***
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# --- Nothing Yet


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# ***                                                VARIABLES                                                      ***
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# --- Nothing Yet


#   *****************************************************************************************************************
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# ***                                                  FUNCTIONS                                                    ***
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class ZerodhaKiteAuthTokens(BaseModel):

    userType: str | None = Field(
        description = "the type of the user",
        default = None,
        alias = "user_type",
        examples = ["individual/ind_with_nom"]
    )

    email: str | None = Field(
        description = "the email id of the user",
        default = None,
        alias = "email"
    )

    name: str = Field(
        description = "the name of the user",
        alias = "user_name"
    )

    displayName: str | None = Field(
        description = "the short display name of the user",
        default = None,
        alias = "user_shortname"
    )

    displayPictureUrl: str | None = Field(
        description = "the display picture of the user",
        default = None,
        alias = "avatar_url"
    )

    exchanges: List[str] = Field(
        description = "the list of exchanges this user can trade on",
        alias = "exchanges"
    )

    products: List[str] = Field(
        description = "the list of products (offered by the broker) this user can avail",
        alias = "products"
    )

    orderTypes: List[str] = Field(
        description = "the list of order types this user can place",
        alias = "order_types"
    )

    accessToken: str = Field(
        description = "the main access token to be used in actual requests",
        alias = "access_token"
    )

    refreshToken: str | None = Field(
        description = "token to be used to refresh the access token; may not be provided",
        default = None,
        alias = "refresh_token"
    )

    publicToken: str | None = Field(
        description = "undocumented on their official documentation",
        default = None,
        alias = "public_token"
    )

    loginTs: AwareDatetime = Field(
        description = "the time (utc) at which this user logged in",
        alias = "login_time"
    )

    # ┏┓    ┏•
    # ┃ ┏┓┏┓╋┓┏┓
    # ┗┛┗┛┛┗┛┗┗┫
    #          ┛

    class Config:
        extra = "ignore"
        populate_by_name = True

    # ┓┏  ┓• ┓   •
    # ┃┃┏┓┃┓┏┫┏┓╋┓┏┓┏┓
    # ┗┛┗┻┗┗┗┻┗┻┗┗┗┛┛┗

    @field_validator("loginTs", mode = "before")
    def parse_dates(cls, value):
        if not isinstance(value, datetime.datetime):
            parsed = date_time.parse_date_time(
                value,
                date_formats = ["%Y-%m-%d %H:%M:%S"],
                timezone = date_time.TIMEZONE_IST
            )
            value = parsed if isinstance(parsed, datetime.datetime) else dateparser.parse(value)
        if isinstance(value, datetime.datetime): value = date_time.to_timezone(value, date_time.TIMEZONE_UTC)
        return value

    # ┏┓           •
    # ┃┃┏┓┏┓┏┓┏┓┏┓╋┓┏┓┏
    # ┣┛┛ ┗┛┣┛┗ ┛ ┗┗┗ ┛
    #       ┛

    pass

    # ┏┓           ┏┓
    # ┃ ┓┏┏╋┏┓┏┳┓  ┣ ┓┏┏┓┏┏
    # ┗┛┗┻┛┗┗┛┛┗┗  ┻ ┗┻┛┗┗┛

    pass


#   *****************************************************************************************************************
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# ***                                               MAIN PROGRAM                                                    ***
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if __name__ == "__main__":

    sample_token = {
        "user_type": "individual/ind_with_nom",
        "email": "khushalpradipsoonderji@gmail.com",
        "user_name": "Khushal Pradip Soonderji",
        "user_shortname": "Khushal",
        "broker": "ZERODHA",
        "exchanges": [
            "NSE",
            "BSE",
            "NFO",
            "MF"
        ],
        "products": [
            "CNC",
            "NRML",
            "MIS",
            "BO",
            "CO"
        ],
        "order_types": [
            "MARKET",
            "LIMIT",
            "SL",
            "SL-M"
        ],
        "avatar_url": None,
        "user_id": "ABC123",
        "api_key": "same-as-api-key-input-to-this-func",
        "access_token": "use-this-for-subsequent-activities-like-data-feeds",
        "public_token": "???",
        "refresh_token": "",
        "enctoken": "???",
        "login_time": "2024-12-20 13:23:20",
        "meta": {
            "demat_consent": "consent"
        }
    }

    model = ZerodhaKiteAuthTokens(**sample_token)
    print(json.to_string(model.model_dump(), default = str))