Updated_Manual.py

import os
import sys
import time

import pandas as pd
import layouts
import asyncio
import datetime
import base58
import websockets
import json
from solders.signature import Signature
import requests
from solders.pubkey import Pubkey
from solana.rpc.api import Client, Keypair
from solana.rpc.async_api import AsyncClient
from datetime import datetime
from spl.token.constants import TOKEN_PROGRAM_ID,WRAPPED_SOL_MINT

from solana.rpc import types
from solana.rpc.types import TokenAccountOpts
from openpyxl import Workbook
from openpyxl.styles import Font



# from openpyxl.utils.dataframe import dataframe_to_rows
from openpyxl.styles import NamedStyle, Font, Alignment, PatternFill, Border, Side
from openpyxl.worksheet.datavalidation import DataValidation
from openpyxl.formula.translate import Translator


from openpyxl.utils import get_column_letter
import re
# LAMPORTS = 1000000000



class style():
    BLACK = '\033[30m'
    RED = '\033[31m'
    GREEN = '\033[32m'
    YELLOW = '\033[33m'
    BLUE = '\033[34m'
    MAGENTA = '\033[35m'
    CYAN = '\033[36m'
    WHITE = '\033[37m'
    UNDERLINE = '\033[4m'
    RESET = '\033[0m'
# wallet_address = "675kPX9MHTjS2zt1qfr1NYHuzeLXfQM9H24wFSUt1Mp8" #
seen_signatures = set()
WRAPPED_SOL_MINT = "So11111111111111111111111111111111111111112"
Pool_raydium="675kPX9MHTjS2zt1qfr1NYHuzeLXfQM9H24wFSUt1Mp8"
raydium_V4="5Q544fKrFoe6tsEbD7S8EmxGTJYAKtTVhAW5Q5pge4j1"

import sqlite3
class TransactionProcessor:
    def __init__(self,wallet_address):
        self.queue = asyncio.Queue()
        self.wallet_address = wallet_address
        self.processing_token_accounts = 0
        # self.wallet_address_id_cache = {} # Initialize the cache


        # self.seen_signatures = set()
        self.async_solana_client = AsyncClient("RPC_HTTPS_URL")

        self.db_name = "manual.db"

        self.conn = sqlite3.connect(self.db_name)

        self.c = self.conn.cursor()
        self.init_db()
        self.wallet_address_id=self.get_wallet_address_id(wallet_address)

        self.income = 0
        self.outcome = 0
        self.fee = 0
        self.spent_sol = 0
        self.earned_sol = 0
        self.buys = 0
        self.sells = 0
        self.delta_sol=0
        self.delta_token=0
        self.delta_percentage=0
        self.first_buy_time = None
        self.last_sell_time = None
        self.last_trade = None
        self.time_period = 0

        self.contract = None
        self.scam_tokens = 0

        # self.sol_balance = self.getSOlBalance()
        self.sol_balance = None
        self.solana_price = self.get_current_solana_price()
        self.tokenCreationTime = None
        self.buy_period = 0


    def init_db(self):
        self.c.execute('''
                    CREATE TABLE IF NOT EXISTS wallet_address (
                        id INTEGER PRIMARY KEY AUTOINCREMENT,
                        wallet_address TEXT UNIQUE
                    )
                ''')


        self.c.execute('''
                    CREATE TABLE IF NOT EXISTS token_accounts (
                        wallet_address_id INTEGER,
                        wallet_token_account TEXT,
                        block_time INTEGER,
                        FOREIGN KEY(wallet_address_id) REFERENCES wallet_address(id)
                    )
                ''')

        self.c.execute('''
                 CREATE TABLE IF NOT EXISTS pnl_info (
                     token_account TEXT PRIMARY KEY,
                     wallet_address_id INTEGER,
                     income REAL,
                     outcome REAL,
                     total_fee REAL,
                     spent_sol REAL,
                     earned_sol REAL,
                     delta_token REAL,
                     delta_sol REAL,
                     delta_percentage REAL,
                     buys INTEGER,
                     sells INTEGER,
                     last_trade TEXT,
                     time_period TEXT,
                     contract TEXT,
                     scam_tokens TEXT,
                     buy_period TEXT, 

                     FOREIGN KEY(wallet_address_id) REFERENCES wallet_address(id)
                 )
             ''')

        # Create the 'winning_wallets' table
        # self.c.execute('''
        #       CREATE TABLE IF NOT EXISTS winning_wallets (
        #           wallet_address_id INTEGER,
        #           win_rate_7 REAL,
        #           win_rate_14 REAL,
        #           win_rate_30 REAL,
        #           win_rate_60 REAL,
        #           win_rate_90 REAL,
        #           FOREIGN KEY(wallet_address_id) REFERENCES wallet_address(id)
        #       )
        #   ''')
        self.c.execute('''
                       CREATE TABLE IF NOT EXISTS winning_wallets (
                           wallet_address_id INTEGER,
                           win_rate_7 REAL,
                           balance_change_7 REAL,
                           token_accounts_7 INTEGER,
                           win_rate_14 REAL,
                           balance_change_14 REAL,
                           token_accounts_14 INTEGER,
                           win_rate_30 REAL,
                           balance_change_30 REAL,
                           token_accounts_30 INTEGER,
                           win_rate_60 REAL,
                           balance_change_60 REAL,
                           token_accounts_60 INTEGER,
                           win_rate_90 REAL,
                           balance_change_90 REAL,
                           token_accounts_90 INTEGER,
                           FOREIGN KEY(wallet_address_id) REFERENCES wallet_address(id)
                       )
                   ''')
        self.conn.commit()

    async def get_token_accountsCount(self,wallet_address: Pubkey):
        owner = wallet_address
        opts = types.TokenAccountOpts(program_id=Pubkey.from_string("TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA"))
        response = await self.async_solana_client.get_token_accounts_by_owner(owner, opts)
        # length= len(response.value)
        return len(response.value)


    async def initialize(self):
        self.sol_balance = await self.getSOlBalance()
        # self.tokenCreationTime = await self.pair_createdTime(self.wallet_address)


    ##REPORTING###
    async def getSOlBalance(self):
        pubkey = self.wallet_address
        response = await self.async_solana_client.get_balance(pubkey)
        balance = response.value /   10**9
        return balance

    def get_current_solana_price(self):
        url = "https://api.coingecko.com/api/v3/simple/price?ids=solana&vs_currencies=usd"
        response = requests.get(url)
        data = response.json()
        return data['solana']['usd'] if response.status_code ==   200 else None


    def store_win_rate(self, time_period, win_rate, balance_change, token_accounts):
        # First, check if a row with the given wallet_address_id exists
        check_sql = 'SELECT 1 FROM winning_wallets WHERE wallet_address_id = ?'
        self.c.execute(check_sql, (self.wallet_address_id,))
        row_exists = self.c.fetchone() is not None

        time_period_suffix = f"_{time_period}"

        if row_exists:
            # If the row exists, update the win_rate, balance_change, and token_accounts for the specified time_period
            update_sql = f'''
                UPDATE winning_wallets
                SET win_rate{time_period_suffix} = ?, 
                    balance_change{time_period_suffix} = ?, 
                    token_accounts{time_period_suffix} = ?
                WHERE wallet_address_id = ?
            '''
            self.c.execute(update_sql, (win_rate, balance_change, token_accounts, self.wallet_address_id))
        else:
            # If the row does not exist, insert a new row with default values set to NULL or 0 and then update
            # the specific time period data
            insert_sql = f'''
                INSERT INTO winning_wallets (
                    wallet_address_id, 
                    win_rate_7, balance_change_7, token_accounts_7, 
                    win_rate_14, balance_change_14, token_accounts_14,
                    win_rate_30, balance_change_30, token_accounts_30,
                    win_rate_60, balance_change_60, token_accounts_60,
                    win_rate_90, balance_change_90, token_accounts_90
                ) VALUES (
                    ?, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL
                )
            '''
            self.c.execute(insert_sql, (self.wallet_address_id,))
            # Now the row exists, update the specific time period data
            update_sql = f'''
                UPDATE winning_wallets
                SET win_rate{time_period_suffix} = ?, 
                    balance_change{time_period_suffix} = ?, 
                    token_accounts{time_period_suffix} = ?
                WHERE wallet_address_id = ?
            '''
            self.c.execute(update_sql, (win_rate, balance_change, token_accounts, self.wallet_address_id))

        # Commit the changes
        self.conn.commit()

    def get_summary(self, time_period):
        query = f'''
             WITH Calculations AS (
               SELECT
                 (SUM(CASE WHEN delta_sol >   0 THEN   1 ELSE   0 END) *   1.0 / COUNT(*)) *   100 AS WinRate,
                 SUM(delta_sol) AS PnL_R,
                 SUM(CASE WHEN delta_sol <   0 THEN delta_sol ELSE   0 END) AS PnL_Loss,
                 (SUM(earned_sol) / NULLIF(SUM(spent_sol),   0) -   1) *   100 AS Balance_Change,
                 COUNT(CASE WHEN scam_tokens =  1 THEN  1 END) AS ScamTokens
               FROM pnl_info
               WHERE wallet_address_id = ?
                 AND last_trade >= strftime('%s', 'now', '-{time_period} days')
             )

             SELECT
               *,
               '{time_period} days' AS TimePeriod
             FROM Calculations;
             '''
        self.c.execute(query, (self.get_wallet_address_id(self.wallet_address),))

        summary_result = self.c.fetchone()

        summary_data = {
            'SolBalance': self.sol_balance,
            'WalletAddress': str(self.wallet_address),
            'WinRate': summary_result[0],
            'PnL_R': summary_result[1],
            'PnL_Loss': summary_result[2],
            'Balance_Change': summary_result[3],
            'ScamTokens': summary_result[4],
            'TimePeriod': summary_result[5]  # Assuming ScamTokens is the  6th column in the result
        }

        return summary_data
    # def get_summary(self, time_period):
    #     query = f'''
    #     WITH Calculations AS (
    #       SELECT
    #         (SUM(CASE WHEN delta_sol >   0 THEN   1 ELSE   0 END) *   1.0 / COUNT(*)) *   100 AS WinRate,
    #         SUM(delta_sol) AS PnL_R,
    #         SUM(CASE WHEN delta_sol <   0 THEN delta_sol ELSE   0 END) AS PnL_Loss,
    #         (SUM(earned_sol) / NULLIF(SUM(spent_sol),   0) -   1) *   100 AS Balance_Change,
    #         COUNT(CASE WHEN scam_tokens =  1 THEN  1 END) AS ScamTokens
    #       FROM pnl_info
    #       WHERE wallet_address_id = ?
    #         AND last_trade >= strftime('%s', 'now', '-{time_period} days')
    #     )
    #
    #     SELECT
    #       *,
    #       '{time_period} days' AS TimePeriod
    #     FROM Calculations;
    #     '''
    #     self.c.execute(query, (self.get_wallet_address_id(self.wallet_address),))
    #
    #     summary_result = self.c.fetchone()
    #     win_rate = summary_result[0]
    #
    #     # Store the win rate in the 'winning_wallets' table
    #     self.store_win_rate(time_period, win_rate)
    #
    #
    #
    #     summary_data = {
    #         'SolBalance': self.sol_balance,
    #         'WalletAddress': str(self.wallet_address),
    #         'WinRate': summary_result[0],
    #         'PnL_R': summary_result[1],
    #         'PnL_Loss': summary_result[2],
    #         'Balance_Change': summary_result[3],
    #         'ScamTokens': summary_result[4],
    #         'TimePeriod': summary_result[5]  # Assuming ScamTokens is the  6th column in the result
    #     }
    #
    #     return summary_data
    def get_transactions(self, time_period):
        query = f'''
        SELECT *
        FROM pnl_info
        WHERE wallet_address_id = ?
          AND last_trade >= strftime('%s', 'now', '-{time_period} days');
        '''
        self.c.execute(query, (self.wallet_address_id,))
        results = self.c.fetchall()
        # print(results)
        #return results
        transactions_df = pd.DataFrame(results, columns=['token_account', 'wallet_address_id', 'income', 'outcome',
                                                         'total_fee', 'spent_sol', 'earned_sol', 'delta_token',
                                                         'delta_sol', 'delta_percentage', 'buys', 'sells',
                                                         'last_trade', 'time_period', 'contract', 'scam token','buy_period'])

        # Sort transactions by 'last_trade' in descending order
        transactions_df = transactions_df.sort_values(by='last_trade', ascending=False)
        # sum_delta_sol = transactions_df['delta_sol'].sum()
        # print(f"Sum of delta_sol: {sum_delta_sol}")

        return transactions_df

    async def generate_reports_for_time_periods(self, time_periods):
        await self.initialize()

        # Fetch the wallet address ID from the database
        self.wallet_address_id = self.wallet_address_id

        # Directory to store the reports
        reports_folder = "processing_reports"
        if not os.path.exists(reports_folder):
            os.makedirs(reports_folder)
        wallet_folder = os.path.join(reports_folder, str(self.wallet_address))
        if not os.path.exists(wallet_folder):
            os.makedirs(wallet_folder)

        # Generate and export reports for each specified time period
        for time_period in time_periods:
            summary = self.get_summary(time_period)
            # print(time_period,summary)
            transactions = self.get_transactions(time_period)
            if summary:

                file_name = os.path.join(wallet_folder, f"{self.wallet_address}_{time_period}_days.xlsx")
                self.export_to_excel(summary, transactions, file_name)
                print(f"Exported summary and transactions for {time_period} days to {file_name}")
            else:
                print(f"No summary found for {time_period} days.")

    def export_to_excel(self,summary, transactions, file_name):
        sol_current_price = self.solana_price
        # print(transactions)
        summary['Current_Sol_Price'] = sol_current_price
        summary['ID'] = self.wallet_address_id
        win_rate =summary['WinRate']

        try:
            summary['Profit_USD'] = summary['PnL_R'] * sol_current_price
            summary['Loss_USD'] = abs(summary['PnL_Loss']) * sol_current_price
        except TypeError:
            summary['Profit_USD'] = 0
            summary['Loss_USD'] = 0

        # Convert summary dictionary to DataFrame
        summary_df = pd.DataFrame([summary], columns=['ID','WalletAddress', 'SolBalance','Current_Sol_Price', 'WinRate', 'PnL_R', 'PnL_Loss',
                                                      'Balance_Change', 'ScamTokens', 'Profit_USD',
                                                      'Loss_USD', 'TimePeriod'])

        # Convert transactions to DataFrame
        transactions_df = pd.DataFrame(transactions, columns=['token_account','wallet_address_id', 'income', 'outcome',
                                                              'total_fee', 'spent_sol', 'earned_sol', 'delta_token',
                                                              'delta_sol', 'delta_percentage', 'buys', 'sells',
                                                              'last_trade', 'time_period','buy_period', 'contract', 'scam token'])
        transactions_df.drop(columns=['wallet_address_id'], inplace=True)
        transactions_df['last_trade'] = transactions_df['last_trade'].apply(lambda x: datetime.fromtimestamp(int(x)).strftime('%d.%m.%Y'))


        with pd.ExcelWriter(file_name, engine='openpyxl') as writer:

            # Write DataFrames to Excel
            summary_df.to_excel(writer, sheet_name='Summary and Transactions', index=False, startrow=0)
            row_to_start = len(summary_df) + 2  # Adjust row spacing
            transactions_df.to_excel(writer, sheet_name='Summary and Transactions', index=False, startrow=row_to_start)

            workbook = writer.book
            worksheet = writer.sheets['Summary and Transactions']

            for row in worksheet.iter_rows(min_row=row_to_start + 2, max_col=worksheet.max_column):
                for cell in row:
                    if cell.column == 1:  # 'token_account' column
                        cell.hyperlink = f'https://solscan.io/account/{cell.value}#splTransfer'
                        cell.value = 'View Solscan'
                        cell.font = Font(underline='single')
                    elif cell.column == 15:  # 'contract' column
                        cell.hyperlink = f'https://dexscreener.com/solana/{cell.value}?maker={self.wallet_address}'
                        'https://dexscreener.com/solana/3zcoadmvqtx3itfthwr946nhznqh92eq9hdhhjtgp6as?maker=3uij3uDg5pLBBxQw6hUXxqw6uEwCQGX7rM8PZb7ofH9e'
                        cell.value = 'View Dexscreener'
                        cell.font = Font(underline='single')


            # Define fills for conditional formatting
            red_fill = PatternFill(start_color="FFC7CE", end_color="FFC7CE", fill_type="solid")
            green_fill = PatternFill(start_color="C6EFCE", end_color="C6EFCE", fill_type="solid")
            yellow_fill = PatternFill(start_color="FFFF00", end_color="FFFF00", fill_type="solid")
            brown_fill = PatternFill(start_color="A52A2A", end_color="A52A2A", fill_type="solid")
            gold_fill = PatternFill(start_color="FFD700", end_color="FFD700", fill_type="solid")

            # Apply initial styling
            for row in worksheet.iter_rows(min_row=1, max_row=worksheet.max_row, min_col=1,
                                           max_col=worksheet.max_column):
                for cell in row:
                    cell.border = Border(left=Side(style='thin'), right=Side(style='thin'), top=Side(style='thin'),
                                         bottom=Side(style='thin'))
                    cell.alignment = Alignment(horizontal="center", vertical="center")
                    if cell.row == 1:
                        cell.font = Font(bold=True)

            # Adjust column widths
            for column_cells in worksheet.columns:
                length = max(len(str(cell.value)) for cell in column_cells)
                worksheet.column_dimensions[get_column_letter(column_cells[0].column)].width = length + 2

            # Conditional formatting for transactions
            for idx, row in enumerate(transactions_df.itertuples(index=False), start=row_to_start + 2):
                # Assuming 'outcome' is the  4th column, 'delta_percentage' is the  10th, 'time_period' is the  15th, and 'buys' is the  11th
                outcome = row[2]
                income=row[1]
                # income=row[2]
                delta_percentage = row[8]
                # print(int(delta_percentage))
                # sys.exit()
                time_period = row[12]
                buys = row[9]


                if round(outcome,1) > round(income,1):
                    worksheet.cell(row=idx, column=3).fill = yellow_fill


                if delta_percentage ==-100:

                    worksheet.cell(row=idx, column=9).fill = brown_fill

                if pd.to_timedelta(time_period) < pd.Timedelta(minutes=1):
                    worksheet.cell(row=idx, column=13).fill = yellow_fill

                if buys > 3:
                    worksheet.cell(row=idx, column=10).fill = yellow_fill

            # Additional conditional formatting for delta_sol and delta_percentage
            # Assuming 'delta_sol' is the  9th column and 'delta_percentage' is the  10th column
            for idx, row in enumerate(transactions_df.itertuples(index=False), start=row_to_start + 2):
                # For delta_sol
                if row[7] < 0:
                    worksheet.cell(row=idx, column=8).fill = red_fill
                elif row[7] > 0:
                    worksheet.cell(row=idx, column=8).fill = green_fill

                # For delta_percentage

                if row[7] < 0 and row[8] != -100:
                    worksheet.cell(row=idx, column=9).fill = red_fill
                elif row[8] > 0:
                    worksheet.cell(row=idx, column=9).fill = green_fill


            for idx, row in enumerate(summary_df.itertuples(index=False), start=1):
                # print(row[9], row[10])
                if row[9] > row[10]  and row[4]>=50:  # If Profit_USD > Loss_USD
                    worksheet.cell(row=idx, column=10).fill = gold_fill
                    worksheet.cell(row=idx, column=5).fill = gold_fill

                elif row[9] <row[10]  and row[4]<50:  # If Profit_USD > Loss_USD
                    worksheet.cell(row=idx, column=10).fill = red_fill
                    worksheet.cell(row=idx, column=5).fill = red_fill

                elif row[9] < row[10] and row[4] == 50:  # If Profit_USD > Loss_USD
                    worksheet.cell(row=idx, column=10).fill = red_fill
                    worksheet.cell(row=idx, column=5).fill = gold_fill

                elif row[9] > row[10] and row[4] < 50:
                    worksheet.cell(row=idx, column=10).fill = gold_fill
                    worksheet.cell(row=idx, column=5).fill = red_fill
                else:
                    worksheet.cell(row=idx, column=11).fill = red_fill
                    worksheet.cell(row=idx, column=5).fill = red_fill




                    # Save the workbook
            workbook.save(file_name)




    def get_wallet_address_id(self,wallet_address):
        # Check if the wallet address exists in the database
        self.c.execute('SELECT id FROM wallet_address WHERE wallet_address = ?', (str(wallet_address),))
        result = self.c.fetchone()

        if result:
            # If the wallet address exists, return the ID
            return result[0]
        else:
            # If the wallet address does not exist, insert it into the database
            self.c.execute('INSERT INTO wallet_address (wallet_address) VALUES (?)', (str(wallet_address),))
            # Commit the transaction to save the changes to the database
            self.conn.commit()
            # Return the ID of the newly inserted record
            return self.c.lastrowid

    def convert_unix_to_date(self,unix_timestamp):
        """
        Convert a Unix timestamp to a datetime object.

        """
        timestamp_str = str(unix_timestamp)
        # If the length is greater than 10 digits, it's likely in milliseconds
        if len(timestamp_str) > 10:
            print("retruned",datetime.fromtimestamp(round(unix_timestamp / 1000)))
            return datetime.fromtimestamp(round(unix_timestamp / 1000))

        return datetime.fromtimestamp(unix_timestamp)

    async def update_token_account(self, wallet_address, wallet_token_account, block_time, wallet_address_id):
        try:
            # Convert the Pubkey to a string
            print("Update Wallet ID",wallet_address_id)

            wallet_token_account_str = str(wallet_token_account)

            # Insert a new token account without checking if it exists
            self.c.execute(
                'INSERT INTO token_accounts (wallet_address_id, wallet_token_account, block_time) VALUES (?, ?, ?)',
                (wallet_address_id, wallet_token_account_str, block_time))
            # Commit the changes
            self.conn.commit()
            print(
                f"{style.CYAN}New token account added for wallet address: {str(wallet_address)}, token account: {wallet_token_account_str}",
                style.RESET)
            # print("Calculating and updating pnl")
            # print(wallet_token_account)
            # await self.process_token_account(wallet_token_account, wallet_address_id)

        except Exception as e:
            print(f"Error updating token account: {e}")
            # Rollback the transaction in case of an error
            self.conn.rollback()


    def get_token_data(self,decimals):
        for token_balances in decimals:
            if token_balances.owner == self.wallet_address and token_balances.mint != Pubkey.from_string(WRAPPED_SOL_MINT):
                token_contract = token_balances.mint
                token_decimal = token_balances.ui_token_amount.decimals
                if token_contract is None:
                    token_contract = "Unknown"


                return token_contract, token_decimal
    async def transactionType(self,Account:str):
        data_response = await self.async_solana_client.get_account_info(Pubkey.from_string(Account))
        data = data_response.value.data
        parsed_data = layouts.SPL_ACCOUNT_LAYOUT.parse(data)
        # print("Parsed Data",parsed_data)
        mint = Pubkey.from_bytes(parsed_data.mint)
        if mint == WRAPPED_SOL_MINT:
            return mint
        return mint



    async def transactionDetails(self, block_time, txn_fee, information_array: list, token_traded: str,
                           token_decimal: int):

        try:
            first_info = information_array[0]
            second_info = information_array[1]
            first_authority = first_info['authority']
            t_type= await self.transactionType(second_info['source'])
            # print(first_info)
            # print("----")
            # print(second_info)

            if first_authority == str(self.wallet_address) and str(t_type) != WRAPPED_SOL_MINT :
                first_amount = int(first_info['amount']) / 10 ** 9
                self.update_buy(int(second_info['amount']) / 10 ** token_decimal, txn_fee, block_time)
                self.spent_sol += first_amount
                self.contract = token_traded
                self.last_trade = block_time
                print(f"{style.GREEN}BUY {first_amount} SOL {style.RESET} -FOR  {int(second_info['amount']) / 10 ** token_decimal} TokenBought= {self.contract}  ")

            else:
                first_amount = int(first_info['amount']) / 10 ** token_decimal
                self.update_sell(first_amount, txn_fee, block_time)
                self.earned_sol += int(second_info['amount']) / 10 ** 9
                self.contract = token_traded
                self.last_trade = block_time
                print(
                    f"{style.RED}SELL{style.RESET} {first_amount} -{self.contract}--FOR  {style.GREEN}{int(second_info['amount']) / 10 ** 9} {style.RESET}SOL")
        except Exception as e:
            print(f"Error processing transaction details: {e}")




    #Processing TokenAccounts Transactions
    async def process_token_account(self, token_accounts: list,wallet_address_id: int):
        # transaction_data_dict = {}
        # error_count = 0
        self.processing_token_accounts= len(token_accounts)

        while self.processing_token_accounts>0:

            try:
                # Convert the Pubkey to a string for database operations
                for token_account in token_accounts:
                    self.reset_variables()
                    print(token_account,"Number of token Account to be processed",len(token_accounts))

                    token_account_str = str(token_account)
                    # Directly process the transactions for the given token account
                    # await asyncio.sleep(1)
                    sig = await self.async_solana_client.get_signatures_for_address(Pubkey.from_string(token_account), limit=500)
                    # information_array = []
                    last_signature = await self.async_solana_client.get_transaction(sig.value[-1].signature,
                                                                                    encoding="jsonParsed",
                                                                                    max_supported_transaction_version=0)
                    # print(last_signature)

                    block_time = last_signature.value.block_time
                    try:

                        await self.update_token_account(self.wallet_address, Pubkey.from_string(token_account_str), block_time,wallet_address_id)

                    except Exception as e:
                        print(f"The problem is here: {e}")

                    print("UPDATING TOKEN ACCOUNT DONE")
                    for signature in reversed(sig.value):
                        if signature.err == None:
                            transaction = await self.async_solana_client.get_transaction(signature.signature, encoding="jsonParsed",
                                                                                         max_supported_transaction_version=0)

                            txn_fee = transaction.value.transaction.meta.fee
                            instruction_list = transaction.value.transaction.meta.inner_instructions
                            account_signer = transaction.value.transaction.transaction.message.account_keys[0].pubkey
                            decimals = transaction.value.transaction.meta.post_token_balances
                            information_array = []

                            # print(decimals)
                            print(style.RED,signature.signature,style.RESET)
                            print(account_signer,self.wallet_address)

                            if account_signer == self.wallet_address:
                                for ui_inner_instructions in instruction_list:
                                    for txn_instructions in ui_inner_instructions.instructions:
                                        if txn_instructions.program_id == TOKEN_PROGRAM_ID:
                                            txn_information = txn_instructions.parsed['info']
                                            if 'destination' in txn_information:
                                                information_array.append(txn_information)

                                try:
                                    # print(block_time)
                                    block_time = transaction.value.block_time

                                    token_traded, token_decimal = self.get_token_data(decimals)
                                    # print(token_traded,token_decimal)
                                    await self.transactionDetails(block_time, txn_fee, information_array, token_traded,
                                                                  token_decimal)
                                except Exception as e:
                                    print(e, signature.signature)
                                    print(style.RED, "Error Adding Transaction Details", style.RESET)
                                    continue

                    print("Calculating and updating pnl")
                    # self.print_summary()


                    await self.calculate_deltas()
                    self.print_summary()

                    await self.fill_pnl_info_table(token_account_str,wallet_address_id)
                    token_accounts.remove(token_account)
                    self.processing_token_accounts =len(token_accounts)


            except Exception as e:
                print(f"Error processing token account: {e},{token_account}")
                # token_accounts.remove(token_account)

                if str(e) =="type NoneType doesn't define __round__ method":
                     token_accounts.remove(token_account)

                # Rollback the transaction in case of an error
                continue

    async def pair_createdTime(self,token_traded):
        url = f'https://api.dexscreener.com/latest/dex/tokens/{token_traded}'

        response = requests.get(url)
        data = response.json()
        if data['pairs'] is not None:
            return round(data['pairs'][0]['pairCreatedAt']/1000)
        return 0


    def calculate_time_difference(self,unix_timestamp1, unix_timestamp2):
        """
        Calculate the difference between two Unix timestamps and return it in a human-readable format.
        """
        # Convert Unix timestamps to datetime objects
        date1 = self.convert_unix_to_date(round(unix_timestamp1))
        date2 = self.convert_unix_to_date(round(unix_timestamp2))

        # Calculate the difference between the two dates
        difference = date2 - date1

        # Calculate the difference in hours, minutes, and seconds
        hours, remainder = divmod(difference.total_seconds(), 3600)
        minutes, seconds = divmod(remainder, 60)

        # Format the output based on the difference
        if hours > 0:
            return f"{int(hours)}h {int(minutes)}m {int(seconds)}s"
        elif minutes > 0:
            return f"{int(minutes)}m {int(seconds)}s"
        else:
            return f"{int(seconds)}s"
    def update_buy(self, amount, fee, block_time):

        self.income += amount
        self.fee += fee
        self.buys +=  1
        if self.first_buy_time is None:
            self.first_buy_time = block_time

    def update_sell(self, amount, fee, block_time):
        self.outcome += amount
        self.fee += fee
        self.sells +=  1
        # Update the last sell time
        self.last_sell_time = block_time
        # Update the last trade to the highest block time
        if self.last_trade is None or block_time > self.last_trade:
            self.last_trade = block_time
    def print_summary(self):
        print(f"Income: {self.income}")
        print(f"Outcome: {self.outcome}")
        print(f"Total Fee: {self.fee/10**9}")
        print(f"Spent SOL: {self.spent_sol}")
        print(f"Earned SOL: {self.earned_sol}")
        print(f"Delta Token: {self.delta_token}")
        print(f"Delta SOL: {self.delta_sol}")
        print(f"Delta Percentage: {self.delta_percentage}%")
        print(f"Buys: {self.buys}")
        print(f"Sells: {self.sells}")

        print(f"Time Period: {self.time_period}")
        print(f"Contract: {self.contract}")
        print(f"Scam Tokens: {self.scam_tokens}")


        if self.tokenCreationTime == 0:
            buy_period = "Unknown"
            print("Buy Period:",buy_period)
            print(self.contract)

        else:

            try:
                buy_period = self.calculate_time_difference(self.tokenCreationTime,self.first_buy_time )
                print("Buy Period:",buy_period)
            except Exception as e:
                print(f"Error calculating buy period: {e}")
                buy_period = "No buy"



    def reset_variables(self):
        self.income = 0
        self.outcome = 0
        self.fee = 0
        self.spent_sol = 0
        self.earned_sol = 0
        self.buys = 0
        self.sells = 0
        self.first_buy_time = None
        self.last_sell_time = None
        self.last_trade = None
        self.time_period = 0
        self.contract = None
        self.scam_tokens = 0
        self.tokenCreationTime = 0
        self.buy_period=0
    async def getToken_SolAmount(self,):
        token_address = str(self.contract)
        url = f'https://api.dexscreener.com/latest/dex/tokens/{token_address}'

        response = requests.get(url)
        data = response.json()
        if data['pairs'] is not None:
            token_price_usd = float(data['pairs'][0]['priceUsd'])
            wallet_amount= self.income
            Worth_wallet_amount = token_price_usd * wallet_amount
            worth_in_solana= Worth_wallet_amount / self.solana_price
            return worth_in_solana
        else:
            self.scam_tokens = 1
            return 0





    async def calculate_deltas(self):

        if self.sells >0:
            self.delta_token = self.income - self.outcome
            self.delta_sol = self.earned_sol - self.spent_sol
            self.delta_percentage = (self.delta_sol / self.spent_sol) * 100 if self.spent_sol != 0 else 0
        else:
            self.delta_token = self.income
            self.delta_sol = self.earned_sol - self.spent_sol
            self.delta_percentage = -100


        self.tokenCreationTime = await self.pair_createdTime(self.contract)
        if self.tokenCreationTime == 0:
            self.buy_period = "Unknown"

        else:
            self.buy_period = self.calculate_time_difference(self.tokenCreationTime, self.first_buy_time)











        if self.first_buy_time and self.last_sell_time:
            time_difference = self.last_sell_time - self.first_buy_time
            self.time_period = self.calculate_time_difference(self.first_buy_time, self.last_sell_time)
        elif self.first_buy_time and not self.last_sell_time:
            self.time_period = 0  # No sell, indicating a potential scam
            self.scam_tokens = 1
            # self.last_sell_time = self.first_buy_time


    async def fill_pnl_info_table(self, token_account,wallet_address_id):
        """
        Insert a new PNL info only if the transaction is not yet in the database.
        """
        try:
            fields = [

                ('token_account', token_account),
                ('income', self.income),
                ('outcome', self.outcome),
                ('fee', self.fee),
                ('spent_sol', self.spent_sol),
                ('earned_sol', self.earned_sol),
                ('delta_token', self.delta_token),
                ('delta_sol', self.delta_sol),
                ('buys', self.buys),
                ('sells', self.sells),
                ('time_period', self.time_period),
                ('contract', self.contract),
                ('scam_tokens', self.scam_tokens),
                ('wallet_address_id', wallet_address_id),
                ('last_trade', self.last_trade),
                ('buy_period',self.buy_period)
            ]

            none_fields = [field_name for field_name, field_value in fields if field_value is None]
            if none_fields:
                print(f"One or more fields are None: {', '.join(none_fields)}. Skipping the operation.")
                return
            # Prepare the SQL INSERT statement
            insert_sql = '''
                    INSERT INTO pnl_info (
                        wallet_address_id, token_account, income, outcome, total_fee, spent_sol, earned_sol,
                        delta_token, delta_sol, delta_percentage, buys, sells, last_trade,
                        time_period, contract, scam_tokens,buy_period
                    ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?,?)
                '''

            # Check if any field is None and skip the operation if so
            if any(value is None for value in
                   [token_account, self.income, self.outcome, self.fee, self.spent_sol, self.earned_sol, self.delta_token,
                    self.delta_sol, self.buys, self.sells, self.time_period, self.contract, self.scam_tokens,
                    wallet_address_id, self.last_trade, self.calculate_time_difference(self.first_buy_time, self.tokenCreationTime) if self.tokenCreationTime != 0 or self.first_buy_time!= None else 0]):
                print("One or more fields are None. Skipping the operation.")
                return

            # Check if the transaction already exists in the database
            check_sql = '''
                    SELECT   1 FROM pnl_info
                    WHERE wallet_address_id = ? AND last_trade = ?
                '''
            cursor = self.conn.cursor()
            cursor.execute(check_sql, (wallet_address_id, self.last_trade))
            if cursor.fetchone() is not None:
                print("Transaction already exists in the database. Skipping the operation.")
                return

            # Prepare the data to be inserted
            insert_data = (
                wallet_address_id,
                token_account,  # Use the token_account parameter
                self.income,
                self.outcome,
                self.fee / 10 ** 9,  # Assuming the fee is in nanoseconds
                self.spent_sol,
                self.earned_sol,
                self.delta_token,
                self.delta_sol,
                self.delta_percentage,
                # (self.delta_sol / self.spent_sol) * 100 if self.spent_sol != 0 else 0,
                self.buys,
                self.sells,
                # self.convert_unix_to_date(self.last_trade),
                self.last_trade,
                self.time_period,
                str(self.contract),  # Ensure this is a string
                self.scam_tokens,
                self.buy_period
            )

            # Insert the new row
            cursor.execute(insert_sql, insert_data)
            self.conn.commit()

            print("PNL info successfully inserted into the database.")
        except Exception as e:
            print(f"Filling info issue, {e}")

    async def process_transactions(self):

        # print(f"Processing Address {self.wallet_address}")

        try:



            wallet_address_id = self.wallet_address_id


            owner = self.wallet_address
            opts = TokenAccountOpts(
                program_id=Pubkey.from_string("TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA")
            )
            response = await self.async_solana_client.get_token_accounts_by_owner(owner, opts)
            solana_token_accounts = {str(token_account.pubkey): token_account for token_account in response.value}

            num_tokenAccounts= len(solana_token_accounts)
            print("Number of token Accounts",num_tokenAccounts)
            # Fetch all token accounts from the database for the wallet address
            self.c.execute('SELECT wallet_token_account FROM token_accounts WHERE wallet_address_id = ?',
                           (wallet_address_id,))
            db_token_accounts = {row[0] for row in self.c.fetchall()}
            newTokenAccounts = solana_token_accounts.keys() - db_token_accounts
            new_token_accounts = list(newTokenAccounts)


            if not newTokenAccounts:
                print("No new token accounts")
                return

                # Process token accounts if they are within the desired range
            if 1 <= len(newTokenAccounts) < 15000:

                print(
                    f"Processing Address {self.wallet_address} Number of Token Accounts to be Processed {len(newTokenAccounts)}")
                new_token_accounts = list(newTokenAccounts)
                await self.process_token_account(new_token_accounts, wallet_address_id)
                print("ALL TOKEN ACCOUNTS PROCESSED")
            else:
                print(
                    f"{style.RED}Skipping Wallet Address {self.wallet_address} with {len(newTokenAccounts)} token accounts",
                    style.RESET)










        except Exception as e:
            print(e)
            # pass
            print(f"Failed to process transaction {self.wallet_address} {e}")



async def run():

    processor = TransactionProcessor(Pubkey.from_string("EWzk2847WCPis45hPQ6Em5UuRbZiP1CSmqx7nG9ELd2L"))

    # Initialize the processor, ensuring it's ready to process transactions
    await processor.initialize()

    # This will process all token accounts and return control when done
    await processor.process_transactions()

    # Now generate reports. This will only be called after all token accounts are processed
    await processor.generate_reports_for_time_periods([90, 60, 30, 14, 7,1])

    print("All accounts processed and reports generated.")



asyncio.run(run())