feat(oi): improve csv loading with caching

Add price caching to prevent repeated file reads and improve performance.
Implement multi-path search for CSV files with fallback options. Add
comprehensive logging for CSV load success/failure states. Update dashboard
to display CSV loading status. Simplify scraper CSV output format and automate
file transfer to terminal MQL5 Files directory.

oi_scraper/main.py

@@ -9,6 +9,7 @@ Requires: pip install -r requirements.txt
 import os
 import logging
 import json
+from datetime import datetime
 from playwright.sync_api import sync_playwright
 from dotenv import load_dotenv
 import pandas as pd
@@ -290,9 +291,8 @@ def export_to_csv(df, future_price=0.0):
     output_path = CSV_OUTPUT_PATH
 
     with open(output_path, "w") as f:
-        df.to_csv(f, index=False)
-        f.write("\n[Price]\n")
-        f.write(f"FuturePrice,{future_price}\n")
+        f.write("date,future_price\n")
+        f.write(f"{datetime.now().strftime('%Y-%m-%d')},{future_price}\n")
 
     logger.info(f"Exported OI data and price to {output_path}")
 

oi_scraper/run_with_venv.bat

@@ -16,6 +16,9 @@ call venv\Scripts\activate.bat
 REM Run Python scraper
 python main.py
 
+MOVE "oi_data.csv" "C:\Users\limitrack\AppData\Roaming\MetaQuotes\Terminal\53785E099C927DB68A545C249CDBCE06\MQL5\Files\"
+
+
 echo.
 echo Scraper completed. Check oi_data.csv for results.
 timeout /t 5