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import json
import logging
import time
import typing

from decimal import Decimal
from solana.publickey import PublicKey
from solana.rpc.types import MemcmpOpts, DataSliceOpts, RPCResponse

from .constants import SOL_DECIMAL_DIVISOR
from .context import Context
from .encoding import decode_binary, encode_binary


# # 🥭 AccountInfo class
#
class AccountInfo:
    def __init__(
        self,
        address: PublicKey,
        executable: bool,
        lamports: Decimal,
        owner: PublicKey,
        rent_epoch: Decimal,
        data: bytes,
    ) -> None:
        self._logger: logging.Logger = logging.getLogger(self.__class__.__name__)
        self.address: PublicKey = address
        self.executable: bool = executable
        self.lamports: Decimal = lamports
        self.owner: PublicKey = owner
        self.rent_epoch: Decimal = rent_epoch
        self.data: bytes = data

    @property
    def sols(self) -> Decimal:
        return self.lamports / SOL_DECIMAL_DIVISOR

    def encoded_data(self) -> typing.Sequence[str]:
        return encode_binary(self.data)

    def save_json(self, filename: str) -> None:
        data = {
            "address": str(self.address),
            "executable": self.executable,
            "lamports": str(self.lamports),
            "owner": str(self.owner),
            "rent_epoch": str(self.rent_epoch),
            "data": encode_binary(self.data),
        }
        with open(filename, "w") as json_file:
            json.dump(data, json_file, indent=4)

    def __str__(self) -> str:
        return f"""« AccountInfo [{self.address}]:
    Owner: {self.owner}
    Executable: {self.executable}
    Lamports: {self.lamports} / Sols: {self.sols}
    Rent Epoch: {self.rent_epoch}
    Data Length: {len(self.data)}
»"""

    def __repr__(self) -> str:
        return f"{self}"

    @staticmethod
    def load(context: Context, address: PublicKey) -> typing.Optional["AccountInfo"]:
        result = context.client.get_account_info(address)
        if result["value"] is None:
            return None

        return AccountInfo._from_response_values(result["value"], address)

    @staticmethod
    def load_json(filename: str) -> "AccountInfo":
        with open(filename) as json_file:
            accountinfo_data = json.load(json_file)
            address: PublicKey = PublicKey(accountinfo_data["address"])
            executable: bool = accountinfo_data["executable"]
            lamports: Decimal = Decimal(accountinfo_data["lamports"])
            owner: PublicKey = PublicKey(accountinfo_data["owner"])
            rent_epoch: Decimal = Decimal(accountinfo_data["lamports"])
            data: bytes = decode_binary(accountinfo_data["data"])
            return AccountInfo(address, executable, lamports, owner, rent_epoch, data)

    @staticmethod
    def load_multiple(
        context: Context, addresses: typing.Sequence[PublicKey]
    ) -> typing.Sequence["AccountInfo"]:
        # This is a tricky one to get right.
        # Some errors this can generate:
        #  413 Client Error: Payload Too Large for url
        #  Error response from server: 'Too many inputs provided; max 100', code: -32602
        chunk_size: int = int(context.gma_chunk_size)
        sleep_between_calls: float = float(context.gma_chunk_pause)
        multiple: typing.List[AccountInfo] = []
        chunks: typing.Sequence[
            typing.Sequence[PublicKey]
        ] = AccountInfo._split_list_into_chunks(addresses, chunk_size)
        for counter, chunk in enumerate(chunks):
            result: typing.Sequence[
                typing.Dict[str, typing.Any]
            ] = context.client.get_multiple_accounts([*chunk])
            response_value_list = zip(result, chunk)
            for index, pair in enumerate(response_value_list):
                if pair[0] is None:
                    raise Exception(
                        f"Failed to fetch account {chunk[index]} at index {index}"
                    )
                multiple += [AccountInfo._from_response_values(pair[0], pair[1])]
            if (sleep_between_calls > 0.0) and (counter < (len(chunks) - 1)):
                time.sleep(sleep_between_calls)

        return multiple

    @staticmethod
    def load_by_program(
        context: Context,
        pubkey: typing.Union[str, PublicKey],
        data_slice: typing.Optional[DataSliceOpts] = None,
        data_size: typing.Optional[int] = None,
        memcmp_opts: typing.Optional[typing.List[MemcmpOpts]] = None,
    ) -> typing.Sequence["AccountInfo"]:
        all_accounts = context.client.get_program_accounts(
            pubkey, data_slice=data_slice, data_size=data_size, memcmp_opts=memcmp_opts
        )

        all_account_infos = map(
            lambda result: AccountInfo._from_response_values(
                result["account"], PublicKey(result["pubkey"])
            ),
            all_accounts,
        )

        return list(all_account_infos)

    @staticmethod
    def _from_response_values(
        response_values: typing.Dict[str, typing.Any], address: PublicKey
    ) -> "AccountInfo":
        executable = bool(response_values["executable"])
        lamports = Decimal(response_values["lamports"])
        owner = PublicKey(response_values["owner"])
        rent_epoch = Decimal(response_values["rentEpoch"])
        data = decode_binary(response_values["data"])
        return AccountInfo(address, executable, lamports, owner, rent_epoch, data)

    @staticmethod
    def from_response(response: RPCResponse, address: PublicKey) -> "AccountInfo":
        return AccountInfo._from_response_values(response["result"]["value"], address)

    @staticmethod
    def _split_list_into_chunks(
        to_chunk: typing.Sequence[typing.Any], chunk_size: int = 100
    ) -> typing.Sequence[typing.Sequence[typing.Any]]:
        chunks = []
        start = 0
        while start < len(to_chunk):
            chunk = to_chunk[start : start + chunk_size]
            chunks += [chunk]
            start += chunk_size
        return chunks