Remove unused GSheetBatchPusher class and xgboost model file to streamline codebase and eliminate deprecated components.

cycles/utils/gsheets.py

@@ -1,128 +0,0 @@
-import threading
-import time
-import queue
-from google.oauth2.service_account import Credentials
-import gspread
-import math
-import numpy as np
-from collections import defaultdict
-
-
-class GSheetBatchPusher(threading.Thread):
-
-    def __init__(self, queue, timestamp, spreadsheet_name, interval=60, logging=None):
-        super().__init__(daemon=True)
-        self.queue = queue
-        self.timestamp = timestamp
-        self.spreadsheet_name = spreadsheet_name
-        self.interval = interval
-        self._stop_event = threading.Event()
-        self.logging = logging
-
-    def run(self):
-        while not self._stop_event.is_set():
-            self.push_all()
-            time.sleep(self.interval)
-        # Final push on stop
-        self.push_all()
-
-    def stop(self):
-        self._stop_event.set()
-
-    def push_all(self):
-        batch_results = []
-        batch_trades = []
-        while True:
-            try:
-                results, trades = self.queue.get_nowait()
-                batch_results.extend(results)
-                batch_trades.extend(trades)
-            except queue.Empty:
-                break
-            
-        if batch_results or batch_trades:
-            self.write_results_per_combination_gsheet(batch_results, batch_trades, self.timestamp, self.spreadsheet_name)
-
-
-    def write_results_per_combination_gsheet(self, results_rows, trade_rows, timestamp, spreadsheet_name="GlimBit Backtest Results"):
-        scopes = [
-            "https://www.googleapis.com/auth/spreadsheets",
-            "https://www.googleapis.com/auth/drive"
-        ]
-        creds = Credentials.from_service_account_file('credentials/service_account.json', scopes=scopes)
-        gc = gspread.authorize(creds)
-        sh = gc.open(spreadsheet_name)
-        
-        try:
-            worksheet = sh.worksheet("Results")
-        except gspread.exceptions.WorksheetNotFound:
-            worksheet = sh.add_worksheet(title="Results", rows="1000", cols="20")
-
-        # Clear the worksheet before writing new results
-        worksheet.clear()
-
-        # Updated fieldnames to match your data rows
-        fieldnames = [
-            "timeframe", "stop_loss_pct", "n_trades", "n_stop_loss", "win_rate",
-            "max_drawdown", "avg_trade", "profit_ratio", "initial_usd", "final_usd"
-        ]
-
-        def to_native(val):
-            if isinstance(val, (np.generic, np.ndarray)):
-                val = val.item()
-            if hasattr(val, 'isoformat'):
-                return val.isoformat()
-            # Handle inf, -inf, nan
-            if isinstance(val, float):
-                if math.isinf(val):
-                    return "∞" if val > 0 else "-∞"
-                if math.isnan(val):
-                    return ""
-            return val
-
-        # Write header if sheet is empty
-        if len(worksheet.get_all_values()) == 0:
-            worksheet.append_row(fieldnames)
-
-        for row in results_rows:
-            values = [to_native(row.get(field, "")) for field in fieldnames]
-            worksheet.append_row(values)
-        
-        trades_fieldnames = [
-            "entry_time", "exit_time", "entry_price", "exit_price", "profit_pct", "type"
-        ]
-        trades_by_combo = defaultdict(list)
-
-        for trade in trade_rows:
-            tf = trade.get("timeframe")
-            sl = trade.get("stop_loss_pct")
-            trades_by_combo[(tf, sl)].append(trade)
-        
-        for (tf, sl), trades in trades_by_combo.items():
-            sl_percent = int(round(sl * 100))
-            sheet_name = f"Trades_{tf}_ST{sl_percent}%"
-
-            try:
-                trades_ws = sh.worksheet(sheet_name)
-            except gspread.exceptions.WorksheetNotFound:
-                trades_ws = sh.add_worksheet(title=sheet_name, rows="1000", cols="20")
-            
-            # Clear the trades worksheet before writing new trades
-            trades_ws.clear()
-
-            if len(trades_ws.get_all_values()) == 0:
-                trades_ws.append_row(trades_fieldnames)
-            
-            for trade in trades:
-                trade_row = [to_native(trade.get(field, "")) for field in trades_fieldnames]
-                try:
-                    trades_ws.append_row(trade_row)
-                except gspread.exceptions.APIError as e:
-                    if '429' in str(e):
-                        if self.logging is not None:
-                            self.logging.warning(f"Google Sheets API quota exceeded (429). Please wait one minute. Will retry on next batch push. Sheet: {sheet_name}")
-                        # Re-queue the failed batch for retry
-                        self.queue.put((results_rows, trade_rows))
-                        return  # Stop pushing for this batch, will retry next interval
-                    else:
-                        raise