237 lines
9.5 KiB
Python
237 lines
9.5 KiB
Python
import json
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import logging
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import os
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import sys
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import time
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import subprocess
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import multiprocessing
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import schedule
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import sqlite3
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import pandas as pd
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from datetime import datetime, timezone
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from logging_utils import setup_logging
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# --- Configuration ---
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WATCHED_COINS = ["BTC", "ETH", "SOL", "BNB", "HYPE", "ASTER", "ZEC", "PUMP", "SUI"]
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COIN_LISTER_SCRIPT = "list_coins.py"
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MARKET_FEEDER_SCRIPT = "market.py"
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DATA_FETCHER_SCRIPT = "data_fetcher.py"
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RESAMPLER_SCRIPT = "resampler.py"
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STRATEGY_CONFIG_FILE = os.path.join("_data", "strategies.json")
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PRICE_DATA_FILE = os.path.join("_data", "current_prices.json")
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DB_PATH = os.path.join("_data", "market_data.db")
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STATUS_FILE = os.path.join("_data", "fetcher_status.json")
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LOGS_DIR = "_logs" # Directory to store logs from background processes
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def run_market_feeder():
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"""Target function to run market.py and redirect its output to a log file."""
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log_file = os.path.join(LOGS_DIR, "market_feeder.log")
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while True:
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try:
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with open(log_file, 'a') as f:
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subprocess.run(
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[sys.executable, MARKET_FEEDER_SCRIPT, "--log-level", "normal"],
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check=True, stdout=f, stderr=subprocess.STDOUT
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)
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except (subprocess.CalledProcessError, Exception) as e:
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logging.error(f"Market feeder script failed: {e}. Restarting...")
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time.sleep(5)
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def run_data_fetcher_job():
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"""Defines the job for the data fetcher, redirecting output to a log file."""
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log_file = os.path.join(LOGS_DIR, "data_fetcher.log")
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logging.info(f"Scheduler starting data_fetcher.py task...")
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try:
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command = [sys.executable, DATA_FETCHER_SCRIPT, "--coins"] + WATCHED_COINS + ["--days", "7", "--log-level", "normal"]
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with open(log_file, 'a') as f:
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subprocess.run(command, check=True, stdout=f, stderr=subprocess.STDOUT)
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except Exception as e:
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logging.error(f"Failed to run data_fetcher.py job: {e}")
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def data_fetcher_scheduler():
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"""Schedules the data_fetcher.py script."""
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setup_logging('off', 'DataFetcherScheduler')
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run_data_fetcher_job()
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schedule.every(1).minutes.do(run_data_fetcher_job)
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while True:
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schedule.run_pending()
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time.sleep(1)
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def run_resampler_job():
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"""Defines the job for the resampler, redirecting output to a log file."""
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log_file = os.path.join(LOGS_DIR, "resampler.log")
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logging.info(f"Scheduler starting resampler.py task...")
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try:
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command = [sys.executable, RESAMPLER_SCRIPT, "--coins"] + WATCHED_COINS + ["--log-level", "normal"]
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with open(log_file, 'a') as f:
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subprocess.run(command, check=True, stdout=f, stderr=subprocess.STDOUT)
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except Exception as e:
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logging.error(f"Failed to run resampler.py job: {e}")
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def resampler_scheduler():
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"""Schedules the resampler.py script."""
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setup_logging('off', 'ResamplerScheduler')
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run_resampler_job()
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schedule.every(4).minutes.do(run_resampler_job)
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while True:
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schedule.run_pending()
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time.sleep(1)
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def run_strategy(strategy_name: str, config: dict):
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"""Target function to run a strategy, redirecting its output to a log file."""
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log_file = os.path.join(LOGS_DIR, f"strategy_{strategy_name}.log")
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script_name = config['script']
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params_str = json.dumps(config['parameters'])
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command = [sys.executable, script_name, "--name", strategy_name, "--params", params_str, "--log-level", "normal"]
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while True:
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try:
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with open(log_file, 'a') as f:
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f.write(f"\n--- Starting strategy '{strategy_name}' at {datetime.now()} ---\n")
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subprocess.run(command, check=True, stdout=f, stderr=subprocess.STDOUT)
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except (subprocess.CalledProcessError, Exception) as e:
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logging.error(f"Strategy '{strategy_name}' failed: {e}. Restarting...")
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time.sleep(10)
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class MainApp:
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def __init__(self, coins_to_watch: list, processes: dict):
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self.watched_coins = coins_to_watch
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self.prices = {}
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self.last_db_update_info = "Initializing..."
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self._lines_printed = 0
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self.background_processes = processes
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self.process_status = {}
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def read_prices(self):
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"""Reads the latest prices from the JSON file."""
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if os.path.exists(PRICE_DATA_FILE):
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try:
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with open(PRICE_DATA_FILE, 'r', encoding='utf-8') as f:
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self.prices = json.load(f)
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except (json.JSONDecodeError, IOError):
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logging.debug("Could not read price file.")
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def get_overall_db_status(self):
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"""Reads the fetcher status from the status file."""
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if os.path.exists(STATUS_FILE):
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try:
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with open(STATUS_FILE, 'r', encoding='utf-8') as f:
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status = json.load(f)
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coin = status.get("last_updated_coin")
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timestamp_utc_str = status.get("last_run_timestamp_utc")
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num_candles = status.get("num_updated_candles", 0)
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if timestamp_utc_str:
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dt_utc = datetime.fromisoformat(timestamp_utc_str.replace('Z', '+00:00')).replace(tzinfo=timezone.utc)
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dt_local = dt_utc.astimezone(None)
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# --- FIX: Manually format the UTC offset ---
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offset = dt_local.utcoffset()
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offset_hours = int(offset.total_seconds() / 3600)
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sign = '+' if offset_hours >= 0 else ''
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offset_str = f"(UTC{sign}{offset_hours})"
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timestamp_display = f"{dt_local.strftime('%Y-%m-%d %H:%M:%S')} {offset_str}"
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else:
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timestamp_display = "N/A"
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self.last_db_update_info = f"{coin} at {timestamp_display} ({num_candles} candles)"
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except (IOError, json.JSONDecodeError):
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self.last_db_update_info = "Error reading status file."
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def check_process_status(self):
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"""Checks if the background processes are still running."""
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for name, process in self.background_processes.items():
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self.process_status[name] = "Running" if process.is_alive() else "STOPPED"
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def display_dashboard(self):
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"""Displays a formatted table without blinking."""
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if self._lines_printed > 0: print(f"\x1b[{self._lines_printed}A", end="")
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output_lines = ["--- Market Dashboard ---"]
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table_width = 26
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output_lines.append("-" * table_width)
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output_lines.append(f"{'#':<2} | {'Coin':<6} | {'Live Price':>10} |")
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output_lines.append("-" * table_width)
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for i, coin in enumerate(self.watched_coins, 1):
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price = self.prices.get(coin, "Loading...")
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output_lines.append(f"{i:<2} | {coin:<6} | {price:>10} |")
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output_lines.append("-" * table_width)
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output_lines.append("DB Status:")
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output_lines.append(f" Last update -> {self.last_db_update_info}")
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output_lines.append("--- Background Processes ---")
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for name, status in self.process_status.items():
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output_lines.append(f"{name:<25}: {status}")
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final_output = "\n".join(output_lines) + "\n\x1b[J"
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print(final_output, end="")
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self._lines_printed = len(output_lines)
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sys.stdout.flush()
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def run(self):
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"""Main loop to read data, display dashboard, and check processes."""
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while True:
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self.read_prices()
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self.get_overall_db_status()
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self.check_process_status()
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self.display_dashboard()
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time.sleep(2)
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if __name__ == "__main__":
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setup_logging('normal', 'MainApp')
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# Create logs directory if it doesn't exist
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if not os.path.exists(LOGS_DIR):
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os.makedirs(LOGS_DIR)
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logging.info(f"Running coin lister: '{COIN_LISTER_SCRIPT}'...")
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try:
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subprocess.run([sys.executable, COIN_LISTER_SCRIPT], check=True, capture_output=True, text=True)
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except subprocess.CalledProcessError as e:
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logging.error(f"Failed to run '{COIN_LISTER_SCRIPT}'. Error: {e.stderr}")
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sys.exit(1)
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processes = {}
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# Start Data Pipeline Processes
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processes["Market Feeder"] = multiprocessing.Process(target=run_market_feeder, daemon=True)
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processes["Data Fetcher"] = multiprocessing.Process(target=data_fetcher_scheduler, daemon=True)
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processes["Resampler"] = multiprocessing.Process(target=resampler_scheduler, daemon=True)
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# Start Strategy Processes based on config
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try:
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with open(STRATEGY_CONFIG_FILE, 'r') as f:
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strategy_configs = json.load(f)
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for name, config in strategy_configs.items():
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if config.get("enabled", False):
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proc = multiprocessing.Process(target=run_strategy, args=(name, config), daemon=True)
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processes[f"Strategy: {name}"] = proc
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except (FileNotFoundError, json.JSONDecodeError) as e:
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logging.error(f"Could not load strategies from '{STRATEGY_CONFIG_FILE}': {e}")
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# Launch all processes
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for name, proc in processes.items():
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logging.info(f"Starting process '{name}'...")
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proc.start()
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time.sleep(3)
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app = MainApp(coins_to_watch=WATCHED_COINS, processes=processes)
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try:
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app.run()
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except KeyboardInterrupt:
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logging.info("Shutting down...")
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for proc in processes.values():
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if proc.is_alive(): proc.terminate()
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for proc in processes.values():
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if proc.is_alive(): proc.join()
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logging.info("Shutdown complete.")
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sys.exit(0)
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