Refactor code for improved readability and consistency
- Cleaned up whitespace and formatting in various files including http.py, language.py, logger.py, safe_exec.py, and SQL migration scripts. - Consolidated import statements and removed unnecessary blank lines. - Updated logging configuration for better clarity. - Enhanced the safe execution code with improved error handling and logging. - Removed commented-out code and unnecessary variables in backfill_zero_trades.py and other scripts. - Added a pyproject.toml for Ruff and Vulture configuration. - Introduced requirements-dev.txt for development dependencies. - Removed commented-out stock entries in init.sql for cleaner migration scripts.
This commit is contained in:
dienakdz
@@ -1,27 +1,29 @@
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"""
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Backtest API routes
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"""
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from flask import Blueprint, request, jsonify, g
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from datetime import datetime
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import traceback
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import json
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import time
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import os
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import traceback
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from datetime import datetime
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import requests
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from flask import Blueprint, g, jsonify, request
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from app.services.backtest import BacktestService
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from app.utils.logger import get_logger
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from app.utils.db import get_db_connection
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from app.utils.auth import login_required
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import requests
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from app.utils.db import get_db_connection
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from app.utils.logger import get_logger
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logger = get_logger(__name__)
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backtest_bp = Blueprint('backtest', __name__)
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backtest_bp = Blueprint("backtest", __name__)
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backtest_service = BacktestService()
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def _openrouter_base_and_key() -> tuple[str, str]:
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from app.config import APIKeys
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# Use APIKeys to get the key (handles env var + config cache properly)
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key = APIKeys.OPENROUTER_API_KEY or ""
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base = os.getenv("OPENROUTER_BASE_URL", "").strip()
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@@ -55,9 +57,9 @@ def _normalize_lang(lang: str | None) -> str:
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"fr-FR",
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"ja-JP",
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}
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l = (lang or "").strip()
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if not l:
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return "zh-CN"
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normalized_lang = (lang or "").strip()
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if not normalized_lang:
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return "en-US"
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alias = {
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"zh": "zh-CN",
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"zh-cn": "zh-CN",
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@@ -81,53 +83,49 @@ def _normalize_lang(lang: str | None) -> str:
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"ar": "ar-SA",
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"ar-sa": "ar-SA",
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}
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l2 = alias.get(l.lower(), l)
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l2 = alias.get(normalized_lang.lower(), normalized_lang)
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return l2 if l2 in supported else "zh-CN"
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@backtest_bp.route('/backtest/precision-info', methods=['GET'])
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@backtest_bp.route("/backtest/precision-info", methods=["GET"])
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def get_precision_info():
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"""
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Get backtest accuracy information (for front-end prompts)
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Params (Query String):
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market: market type
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startDate: start date (YYYY-MM-DD)
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endDate: end date (YYYY-MM-DD)
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Returns:
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Accuracy information, including recommended execution time frame and estimated number of K-lines
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"""
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try:
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# Use request.args for GET params
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market = request.args.get('market', 'crypto')
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start_date_str = request.args.get('startDate', '')
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end_date_str = request.args.get('endDate', '')
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market = request.args.get("market", "crypto")
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start_date_str = request.args.get("startDate", "")
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end_date_str = request.args.get("endDate", "")
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if not start_date_str or not end_date_str:
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return jsonify({'code': 0, 'msg': 'startDate and endDate are required'}), 400
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start_date = datetime.strptime(start_date_str, '%Y-%m-%d')
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end_date = datetime.strptime(end_date_str, '%Y-%m-%d')
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return jsonify({"code": 0, "msg": "startDate and endDate are required"}), 400
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start_date = datetime.strptime(start_date_str, "%Y-%m-%d")
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end_date = datetime.strptime(end_date_str, "%Y-%m-%d")
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exec_tf, precision_info = backtest_service.get_execution_timeframe(start_date, end_date, market)
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return jsonify({
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'code': 1,
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'msg': 'success',
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'data': precision_info
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})
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return jsonify({"code": 1, "msg": "success", "data": precision_info})
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except Exception as e:
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logger.error(f"Get precision info failed: {e}")
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return jsonify({'code': 0, 'msg': str(e)}), 400
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return jsonify({"code": 0, "msg": str(e)}), 400
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@backtest_bp.route('/backtest', methods=['POST'])
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@backtest_bp.route("/backtest", methods=["POST"])
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@login_required
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def run_backtest():
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"""
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Run indicator backtest for the current user.
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Params:
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indicatorId: Indicator ID (optional)
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indicatorCode: Indicator Python code
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@@ -143,34 +141,30 @@ def run_backtest():
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try:
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data = request.get_json()
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if not data:
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return jsonify({
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'code': 0,
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'msg': 'Request body is required',
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'data': None
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}), 400
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return jsonify({"code": 0, "msg": "Request body is required", "data": None}), 400
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# Extract params - use current user's ID
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user_id = g.user_id
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indicator_code = data.get('indicatorCode', '')
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indicator_id = data.get('indicatorId')
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symbol = data.get('symbol', '')
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market = data.get('market', '')
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timeframe = data.get('timeframe', '1D')
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start_date_str = data.get('startDate', '')
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end_date_str = data.get('endDate', '')
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initial_capital = float(data.get('initialCapital', 10000))
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commission = float(data.get('commission', 0.001))
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slippage = float(data.get('slippage', 0.0))
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leverage = int(data.get('leverage', 1))
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trade_direction = data.get('tradeDirection', 'long') # long, short, both
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strategy_config = data.get('strategyConfig') or {}
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indicator_code = data.get("indicatorCode", "")
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indicator_id = data.get("indicatorId")
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symbol = data.get("symbol", "")
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market = data.get("market", "")
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timeframe = data.get("timeframe", "1D")
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start_date_str = data.get("startDate", "")
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end_date_str = data.get("endDate", "")
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initial_capital = float(data.get("initialCapital", 10000))
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commission = float(data.get("commission", 0.001))
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slippage = float(data.get("slippage", 0.0))
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leverage = int(data.get("leverage", 1))
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trade_direction = data.get("tradeDirection", "long") # long, short, both
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strategy_config = data.get("strategyConfig") or {}
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# Multi-timeframe backtesting switch (enabled by default, only valid for cryptocurrency markets)
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enable_mtf = data.get('enableMtf', True)
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enable_mtf = data.get("enableMtf", True)
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if isinstance(enable_mtf, str):
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enable_mtf = enable_mtf.lower() in ['true', '1', 'yes']
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enable_mtf = enable_mtf.lower() in ["true", "1", "yes"]
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# (Debug) log received params if needed
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# If frontend only provides indicatorId, load code from local DB.
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if (not indicator_code or not str(indicator_code).strip()) and indicator_id:
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try:
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@@ -180,53 +174,50 @@ def run_backtest():
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cur.execute("SELECT code FROM qd_indicator_codes WHERE id = ?", (iid,))
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row = cur.fetchone()
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cur.close()
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if row and row.get('code'):
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indicator_code = row.get('code')
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if row and row.get("code"):
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indicator_code = row.get("code")
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except Exception:
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pass
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# Parameter validation
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if not all([indicator_code, symbol, market, timeframe, start_date_str, end_date_str]):
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return jsonify({
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'code': 0,
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'msg': 'Missing required parameters',
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'data': None
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}), 400
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return jsonify({"code": 0, "msg": "Missing required parameters", "data": None}), 400
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# conversion date
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# Start date: 00:00:00 today
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start_date = datetime.strptime(start_date_str, '%Y-%m-%d')
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start_date = datetime.strptime(start_date_str, "%Y-%m-%d")
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# End date: 23:59:59 of the current day, ensuring that the entire day's data is included
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end_date = datetime.strptime(end_date_str, '%Y-%m-%d').replace(hour=23, minute=59, second=59)
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end_date = datetime.strptime(end_date_str, "%Y-%m-%d").replace(hour=23, minute=59, second=59)
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# Validation time range limit
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days_diff = (end_date - start_date).days
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# Set different time limits based on cycles
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if timeframe == '1m':
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if timeframe == "1m":
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max_days = 30 # 1 minute K-line up to 1 month
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max_range_text = '1 month'
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elif timeframe == '5m':
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max_range_text = "1 month"
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elif timeframe == "5m":
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max_days = 180 # 5 minute K-line up to 6 months
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max_range_text = '6 months'
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elif timeframe in ['15m', '30m']:
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max_range_text = "6 months"
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elif timeframe in ["15m", "30m"]:
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max_days = 365 # 15-minute and 30-minute K-line up to 1 year
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max_range_text = '1 year'
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max_range_text = "1 year"
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else: # 1H, 4H, 1D, 1W
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max_days = 1095 # 1 hour and above up to 3 years
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max_range_text = '3 years'
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max_range_text = "3 years"
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if days_diff > max_days:
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return jsonify({
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'code': 0,
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'msg': f'Backtest range exceeds limit: timeframe {timeframe} supports up to {max_range_text} ({max_days} days), but you selected {days_diff} days',
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'data': None
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}), 400
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return jsonify(
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{
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"code": 0,
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"msg": f"Backtest range exceeds limit: timeframe {timeframe} supports up to {max_range_text} ({max_days} days), but you selected {days_diff} days",
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"data": None,
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}
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), 400
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# Execute backtesting (supports multi-time frame high-precision backtesting)
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# Cryptocurrency markets and using multi-timeframe backtesting when MTF is enabled
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if enable_mtf and market.lower() in ['crypto', 'cryptocurrency']:
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if enable_mtf and market.lower() in ["crypto", "cryptocurrency"]:
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result = backtest_service.run_multi_timeframe(
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indicator_code=indicator_code,
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market=market,
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@@ -240,7 +231,7 @@ def run_backtest():
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leverage=leverage,
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trade_direction=trade_direction,
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strategy_config=strategy_config,
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enable_mtf=True
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enable_mtf=True,
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)
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else:
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result = backtest_service.run(
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@@ -255,20 +246,20 @@ def run_backtest():
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slippage=slippage,
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leverage=leverage,
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trade_direction=trade_direction,
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strategy_config=strategy_config
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strategy_config=strategy_config,
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)
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# Add accuracy information for standard backtests
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result['precision_info'] = {
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'enabled': False,
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'timeframe': timeframe,
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'precision': 'standard',
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'message': '使用标准K线回测'
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result["precision_info"] = {
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"enabled": False,
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"timeframe": timeframe,
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"precision": "standard",
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"message": "使用标准K线回测",
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}
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run_id = backtest_service.persist_run(
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user_id=user_id,
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indicator_id=int(indicator_id) if indicator_id is not None else None,
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run_type='indicator',
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run_type="indicator",
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market=market,
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symbol=symbol,
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timeframe=timeframe,
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@@ -280,67 +271,52 @@ def run_backtest():
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leverage=leverage,
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trade_direction=trade_direction,
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strategy_config=strategy_config,
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config_snapshot={'indicatorId': int(indicator_id) if indicator_id is not None else None},
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status='success',
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error_message='',
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config_snapshot={"indicatorId": int(indicator_id) if indicator_id is not None else None},
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status="success",
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error_message="",
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result=result,
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code=indicator_code,
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)
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return jsonify({
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'code': 1,
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'msg': 'Backtest succeeded',
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'data': {
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'runId': run_id,
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'result': result
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}
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})
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return jsonify({"code": 1, "msg": "Backtest succeeded", "data": {"runId": run_id, "result": result}})
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except ValueError as e:
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logger.warning(f"Invalid backtest parameters: {str(e)}")
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return jsonify({
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'code': 0,
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'msg': str(e),
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'data': None
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}), 400
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return jsonify({"code": 0, "msg": str(e), "data": None}), 400
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except Exception as e:
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logger.error(f"Backtest failed: {str(e)}")
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logger.error(traceback.format_exc())
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try:
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data = data if isinstance(data, dict) else {}
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user_id = g.user_id
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indicator_id = data.get('indicatorId')
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indicator_id = data.get("indicatorId")
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backtest_service.persist_run(
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user_id=user_id,
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indicator_id=int(indicator_id) if indicator_id is not None else None,
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run_type='indicator',
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market=str(data.get('market', '') or ''),
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symbol=str(data.get('symbol', '') or ''),
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timeframe=str(data.get('timeframe', '') or ''),
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start_date_str=str(data.get('startDate', '') or ''),
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end_date_str=str(data.get('endDate', '') or ''),
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initial_capital=float(data.get('initialCapital', 0) or 0),
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commission=float(data.get('commission', 0) or 0),
|
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slippage=float(data.get('slippage', 0) or 0),
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leverage=int(data.get('leverage', 1) or 1),
|
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trade_direction=str(data.get('tradeDirection', 'long') or 'long'),
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strategy_config=data.get('strategyConfig') or {},
|
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config_snapshot={'indicatorId': int(indicator_id) if indicator_id is not None else None},
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status='failed',
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run_type="indicator",
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market=str(data.get("market", "") or ""),
|
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symbol=str(data.get("symbol", "") or ""),
|
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timeframe=str(data.get("timeframe", "") or ""),
|
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start_date_str=str(data.get("startDate", "") or ""),
|
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end_date_str=str(data.get("endDate", "") or ""),
|
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initial_capital=float(data.get("initialCapital", 0) or 0),
|
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commission=float(data.get("commission", 0) or 0),
|
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slippage=float(data.get("slippage", 0) or 0),
|
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leverage=int(data.get("leverage", 1) or 1),
|
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trade_direction=str(data.get("tradeDirection", "long") or "long"),
|
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strategy_config=data.get("strategyConfig") or {},
|
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config_snapshot={"indicatorId": int(indicator_id) if indicator_id is not None else None},
|
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status="failed",
|
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error_message=str(e),
|
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result=None,
|
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code=str(data.get('indicatorCode', '') or ''),
|
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code=str(data.get("indicatorCode", "") or ""),
|
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)
|
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except Exception:
|
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pass
|
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return jsonify({
|
||||
'code': 0,
|
||||
'msg': f'Backtest failed: {str(e)}',
|
||||
'data': None
|
||||
}), 500
|
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return jsonify({"code": 0, "msg": f"Backtest failed: {str(e)}", "data": None}), 500
|
||||
|
||||
|
||||
@backtest_bp.route('/backtest/history', methods=['GET'])
|
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@backtest_bp.route("/backtest/history", methods=["GET"])
|
||||
@login_required
|
||||
def get_backtest_history():
|
||||
"""
|
||||
@@ -357,17 +333,17 @@ def get_backtest_history():
|
||||
try:
|
||||
# Use current user's ID
|
||||
user_id = g.user_id
|
||||
limit = int(request.args.get('limit') or 50)
|
||||
offset = int(request.args.get('offset') or 0)
|
||||
limit = int(request.args.get("limit") or 50)
|
||||
offset = int(request.args.get("offset") or 0)
|
||||
limit = max(1, min(limit, 200))
|
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offset = max(0, offset)
|
||||
|
||||
indicator_id = request.args.get('indicatorId')
|
||||
strategy_id = request.args.get('strategyId')
|
||||
run_type = (request.args.get('runType') or '').strip()
|
||||
symbol = (request.args.get('symbol') or '').strip()
|
||||
market = (request.args.get('market') or '').strip()
|
||||
timeframe = (request.args.get('timeframe') or '').strip()
|
||||
indicator_id = request.args.get("indicatorId")
|
||||
strategy_id = request.args.get("strategyId")
|
||||
run_type = (request.args.get("runType") or "").strip()
|
||||
symbol = (request.args.get("symbol") or "").strip()
|
||||
market = (request.args.get("market") or "").strip()
|
||||
timeframe = (request.args.get("timeframe") or "").strip()
|
||||
rows = backtest_service.list_runs(
|
||||
user_id=user_id,
|
||||
limit=limit,
|
||||
@@ -380,14 +356,14 @@ def get_backtest_history():
|
||||
timeframe=timeframe,
|
||||
)
|
||||
|
||||
return jsonify({'code': 1, 'msg': 'OK', 'data': rows})
|
||||
return jsonify({"code": 1, "msg": "OK", "data": rows})
|
||||
except Exception as e:
|
||||
logger.error(f"get_backtest_history failed: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
return jsonify({'code': 0, 'msg': str(e), 'data': None}), 500
|
||||
return jsonify({"code": 0, "msg": str(e), "data": None}), 500
|
||||
|
||||
|
||||
@backtest_bp.route('/backtest/get', methods=['GET'])
|
||||
@backtest_bp.route("/backtest/get", methods=["GET"])
|
||||
@login_required
|
||||
def get_backtest_run():
|
||||
"""
|
||||
@@ -398,19 +374,19 @@ def get_backtest_run():
|
||||
"""
|
||||
try:
|
||||
user_id = g.user_id
|
||||
run_id = int(request.args.get('runId') or 0)
|
||||
run_id = int(request.args.get("runId") or 0)
|
||||
if not run_id:
|
||||
return jsonify({'code': 0, 'msg': 'runId is required', 'data': None}), 400
|
||||
return jsonify({"code": 0, "msg": "runId is required", "data": None}), 400
|
||||
|
||||
row = backtest_service.get_run(user_id=user_id, run_id=run_id)
|
||||
if not row:
|
||||
return jsonify({'code': 0, 'msg': 'run not found', 'data': None}), 404
|
||||
return jsonify({"code": 0, "msg": "run not found", "data": None}), 404
|
||||
|
||||
return jsonify({'code': 1, 'msg': 'OK', 'data': row})
|
||||
return jsonify({"code": 1, "msg": "OK", "data": row})
|
||||
except Exception as e:
|
||||
logger.error(f"get_backtest_run failed: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
return jsonify({'code': 0, 'msg': str(e), 'data': None}), 500
|
||||
return jsonify({"code": 0, "msg": str(e), "data": None}), 500
|
||||
|
||||
|
||||
def _heuristic_ai_advice(runs: list[dict], lang: str) -> str:
|
||||
@@ -463,15 +439,43 @@ def _heuristic_ai_advice(runs: list[dict], lang: str) -> str:
|
||||
|
||||
# Minimal localized headings to keep heuristic readable across locales.
|
||||
headings = {
|
||||
"zh-CN": {"overall": "【总体建议】", "params": "【参数建议（可直接改回测配置测试）】", "next": "【下一步建议的回测方法】"},
|
||||
"zh-TW": {"overall": "【總體建議】", "params": "【參數建議（可直接改回測配置測試）】", "next": "【下一步回測方法建議】"},
|
||||
"en-US": {"overall": "Overall", "params": "Parameter suggestions (edit backtest config and re-run)", "next": "Next steps"},
|
||||
"zh-CN": {
|
||||
"overall": "【总体建议】",
|
||||
"params": "【参数建议（可直接改回测配置测试）】",
|
||||
"next": "【下一步建议的回测方法】",
|
||||
},
|
||||
"zh-TW": {
|
||||
"overall": "【總體建議】",
|
||||
"params": "【參數建議（可直接改回測配置測試）】",
|
||||
"next": "【下一步回測方法建議】",
|
||||
},
|
||||
"en-US": {
|
||||
"overall": "Overall",
|
||||
"params": "Parameter suggestions (edit backtest config and re-run)",
|
||||
"next": "Next steps",
|
||||
},
|
||||
"ko-KR": {"overall": "요약", "params": "파라미터 제안(백테스트 설정 변경)", "next": "다음 단계"},
|
||||
"th-TH": {"overall": "สรุป", "params": "ข้อเสนอแนะพารามิเตอร์ (ปรับค่าที่ตั้งแบ็กเทสต์)", "next": "ขั้นตอนถัดไป"},
|
||||
"vi-VN": {"overall": "Tổng quan", "params": "Gợi ý tham số (sửa cấu hình backtest và chạy lại)", "next": "Bước tiếp theo"},
|
||||
"ar-SA": {"overall": "ملخص", "params": "اقتراحات المعلمات (عدّل إعدادات الاختبار وأعد التشغيل)", "next": "الخطوات التالية"},
|
||||
"de-DE": {"overall": "Überblick", "params": "Parameter-Vorschläge (Backtest-Konfiguration anpassen)", "next": "Nächste Schritte"},
|
||||
"fr-FR": {"overall": "Vue d’ensemble", "params": "Suggestions de paramètres (modifier la config et relancer)", "next": "Étapes suivantes"},
|
||||
"vi-VN": {
|
||||
"overall": "Tổng quan",
|
||||
"params": "Gợi ý tham số (sửa cấu hình backtest và chạy lại)",
|
||||
"next": "Bước tiếp theo",
|
||||
},
|
||||
"ar-SA": {
|
||||
"overall": "ملخص",
|
||||
"params": "اقتراحات المعلمات (عدّل إعدادات الاختبار وأعد التشغيل)",
|
||||
"next": "الخطوات التالية",
|
||||
},
|
||||
"de-DE": {
|
||||
"overall": "Überblick",
|
||||
"params": "Parameter-Vorschläge (Backtest-Konfiguration anpassen)",
|
||||
"next": "Nächste Schritte",
|
||||
},
|
||||
"fr-FR": {
|
||||
"overall": "Vue d’ensemble",
|
||||
"params": "Suggestions de paramètres (modifier la config et relancer)",
|
||||
"next": "Étapes suivantes",
|
||||
},
|
||||
"ja-JP": {"overall": "概要", "params": "パラメータ提案（設定変更→再バックテスト）", "next": "次のステップ"},
|
||||
}
|
||||
h = headings.get(lang, headings["en-US"])
|
||||
@@ -479,62 +483,96 @@ def _heuristic_ai_advice(runs: list[dict], lang: str) -> str:
|
||||
lines = []
|
||||
if lang == "en-US":
|
||||
if len(runs) > 1:
|
||||
lines.append(f"Received {len(runs)} backtest runs. Suggestions below focus on run #{r0.get('id','')}; validate with A/B tests across runs.")
|
||||
lines.append(
|
||||
f"Received {len(runs)} backtest runs. Suggestions below focus on run #{r0.get('id', '')}; validate with A/B tests across runs."
|
||||
)
|
||||
lines.append(h["overall"])
|
||||
elif lang == "zh-TW":
|
||||
if len(runs) > 1:
|
||||
lines.append(f"已收到 {len(runs)} 條回測記錄。以下以記錄 #{r0.get('id','')} 為主給出參數調整建議，並建議你用多組記錄做 A/B 驗證。")
|
||||
lines.append(
|
||||
f"已收到 {len(runs)} 條回測記錄。以下以記錄 #{r0.get('id', '')} 為主給出參數調整建議，並建議你用多組記錄做 A/B 驗證。"
|
||||
)
|
||||
lines.append(h["overall"])
|
||||
else:
|
||||
if len(runs) > 1:
|
||||
if lang == "ko-KR":
|
||||
lines.append(f"{len(runs)}개의 백테스트 기록을 받았습니다. 아래는 #{r0.get('id','')} 기준으로 제안하며, 여러 기록으로 A/B 검증을 권장합니다.")
|
||||
lines.append(
|
||||
f"{len(runs)}개의 백테스트 기록을 받았습니다. 아래는 #{r0.get('id', '')} 기준으로 제안하며, 여러 기록으로 A/B 검증을 권장합니다."
|
||||
)
|
||||
elif lang == "th-TH":
|
||||
lines.append(f"ได้รับประวัติแบ็กเทสต์ {len(runs)} รายการ ข้อเสนอแนะด้านล่างอิงจาก #{r0.get('id','')} และแนะนำให้ทำ A/B test เทียบหลายชุด")
|
||||
lines.append(
|
||||
f"ได้รับประวัติแบ็กเทสต์ {len(runs)} รายการ ข้อเสนอแนะด้านล่างอิงจาก #{r0.get('id', '')} และแนะนำให้ทำ A/B test เทียบหลายชุด"
|
||||
)
|
||||
elif lang == "vi-VN":
|
||||
lines.append(f"Đã nhận {len(runs)} bản ghi backtest. Gợi ý bên dưới tập trung vào #{r0.get('id','')} và khuyến nghị A/B test với nhiều bản ghi.")
|
||||
lines.append(
|
||||
f"Đã nhận {len(runs)} bản ghi backtest. Gợi ý bên dưới tập trung vào #{r0.get('id', '')} và khuyến nghị A/B test với nhiều bản ghi."
|
||||
)
|
||||
elif lang == "ar-SA":
|
||||
lines.append(f"تم استلام {len(runs)} من سجلات الاختبار الخلفي. تركّز الاقتراحات أدناه على التشغيل #{r0.get('id','')} مع توصية باختبارات A/B.")
|
||||
lines.append(
|
||||
f"تم استلام {len(runs)} من سجلات الاختبار الخلفي. تركّز الاقتراحات أدناه على التشغيل #{r0.get('id', '')} مع توصية باختبارات A/B."
|
||||
)
|
||||
elif lang == "de-DE":
|
||||
lines.append(f"{len(runs)} Backtest-Läufe empfangen. Vorschläge unten fokussieren auf Lauf #{r0.get('id','')}; A/B-Tests über mehrere Läufe empfohlen.")
|
||||
lines.append(
|
||||
f"{len(runs)} Backtest-Läufe empfangen. Vorschläge unten fokussieren auf Lauf #{r0.get('id', '')}; A/B-Tests über mehrere Läufe empfohlen."
|
||||
)
|
||||
elif lang == "fr-FR":
|
||||
lines.append(f"{len(runs)} exécutions de backtest reçues. Suggestions ci-dessous centrées sur #{r0.get('id','')}; A/B tests recommandés.")
|
||||
lines.append(
|
||||
f"{len(runs)} exécutions de backtest reçues. Suggestions ci-dessous centrées sur #{r0.get('id', '')}; A/B tests recommandés."
|
||||
)
|
||||
elif lang == "ja-JP":
|
||||
lines.append(f"{len(runs)} 件のバックテスト記録を受け取りました。以下は #{r0.get('id','')} を中心に提案し、複数記録でA/B検証を推奨します。")
|
||||
lines.append(
|
||||
f"{len(runs)} 件のバックテスト記録を受け取りました。以下は #{r0.get('id', '')} を中心に提案し、複数記録でA/B検証を推奨します。"
|
||||
)
|
||||
else:
|
||||
lines.append(f"Received {len(runs)} backtest runs. Suggestions below focus on run #{r0.get('id','')}; validate with A/B tests across runs.")
|
||||
lines.append(
|
||||
f"Received {len(runs)} backtest runs. Suggestions below focus on run #{r0.get('id', '')}; validate with A/B tests across runs."
|
||||
)
|
||||
lines.append(h["overall"])
|
||||
if sharpe < 0 or total_return < 0:
|
||||
if lang == "en-US":
|
||||
lines.append("- Strategy is losing/unstable: reduce risk first (lower entryPct, fewer/smaller scale-ins), then refine signal filters.")
|
||||
lines.append(
|
||||
"- Strategy is losing/unstable: reduce risk first (lower entryPct, fewer/smaller scale-ins), then refine signal filters."
|
||||
)
|
||||
elif lang == "zh-TW":
|
||||
lines.append("- 目前策略偏虧損/不穩定：先降低風險暴露（降低開倉資金占比 entryPct、減少加倉次數/比例），再調整信號過濾。")
|
||||
lines.append(
|
||||
"- 目前策略偏虧損/不穩定：先降低風險暴露（降低開倉資金占比 entryPct、減少加倉次數/比例），再調整信號過濾。"
|
||||
)
|
||||
else:
|
||||
lines.append("- 当前策略整体偏亏损/不稳定：优先降低风险暴露（降低开仓资金占比 entryPct、减少加仓次数/比例），再调信号过滤。")
|
||||
lines.append(
|
||||
"- 当前策略整体偏亏损/不稳定：优先降低风险暴露（降低开仓资金占比 entryPct、减少加仓次数/比例），再调信号过滤。"
|
||||
)
|
||||
if max_dd > 30:
|
||||
if lang == "en-US":
|
||||
lines.append("- Max drawdown is high: tighten stop-loss or reduce leverage/entry size; consider enabling trailing to protect profits.")
|
||||
lines.append(
|
||||
"- Max drawdown is high: tighten stop-loss or reduce leverage/entry size; consider enabling trailing to protect profits."
|
||||
)
|
||||
elif lang == "zh-TW":
|
||||
lines.append("- 最大回撤偏大：建議優先收緊止損或降低槓桿/開倉倉位；同時考慮啟用移動止盈以保護盈利回撤。")
|
||||
else:
|
||||
lines.append("- 最大回撤较大：建议优先收紧止损或降低杠杆/开仓仓位；同时考虑启用移动止盈保护盈利回撤。")
|
||||
if trades < 10:
|
||||
if lang == "en-US":
|
||||
lines.append("- Too few trades: rules may be too strict; relax thresholds or remove one filter to get enough samples.")
|
||||
lines.append(
|
||||
"- Too few trades: rules may be too strict; relax thresholds or remove one filter to get enough samples."
|
||||
)
|
||||
elif lang == "zh-TW":
|
||||
lines.append("- 交易次數偏少：可能條件過嚴，建議適度放寬信號門檻或減少過濾條件，確保有足夠樣本驗證。")
|
||||
else:
|
||||
lines.append("- 交易次数偏少：可能条件过严，建议适当放宽信号阈值或减少过滤条件，确保有足够样本验证。")
|
||||
if win_rate < 35 and profit_factor >= 1.2:
|
||||
if lang == "en-US":
|
||||
lines.append("- Low win rate but decent PF: consider slightly wider stop-loss and use trailing to lock profits.")
|
||||
lines.append(
|
||||
"- Low win rate but decent PF: consider slightly wider stop-loss and use trailing to lock profits."
|
||||
)
|
||||
elif lang == "zh-TW":
|
||||
lines.append("- 勝率偏低但盈虧比不差：可考慮略放寬止損（讓盈利單跑起來），並用移動止盈鎖住利潤。")
|
||||
else:
|
||||
lines.append("- 胜率偏低但盈亏比不差：可以考虑放宽止损（让盈利单跑起来）并用移动止盈锁利润。")
|
||||
if win_rate >= 55 and profit_factor < 1.1:
|
||||
if lang == "en-US":
|
||||
lines.append("- Win rate is OK but PF is low: raise take-profit or enable trailing to improve winners; avoid taking profits too early.")
|
||||
lines.append(
|
||||
"- Win rate is OK but PF is low: raise take-profit or enable trailing to improve winners; avoid taking profits too early."
|
||||
)
|
||||
elif lang == "zh-TW":
|
||||
lines.append("- 勝率不低但盈虧比偏小：考慮提高止盈或啟用移動止盈，讓單筆盈利更充分；避免過早止盈。")
|
||||
else:
|
||||
@@ -543,32 +581,56 @@ def _heuristic_ai_advice(runs: list[dict], lang: str) -> str:
|
||||
lines.append("\n" + h["params"])
|
||||
if stop_loss <= 0:
|
||||
if lang == "en-US":
|
||||
lines.append("- Stop-loss: set stopLossPct (margin PnL basis). For crypto leverage, start with 2%~6% (then consider leverage conversion) and grid test.")
|
||||
lines.append(
|
||||
"- Stop-loss: set stopLossPct (margin PnL basis). For crypto leverage, start with 2%~6% (then consider leverage conversion) and grid test."
|
||||
)
|
||||
elif lang == "zh-TW":
|
||||
lines.append("- 止損：建議設定 stopLossPct（按保證金口徑）。在加密+槓桿下，先從 2%~6%（再結合槓桿換算）做網格測試。")
|
||||
lines.append(
|
||||
"- 止損：建議設定 stopLossPct（按保證金口徑）。在加密+槓桿下，先從 2%~6%（再結合槓桿換算）做網格測試。"
|
||||
)
|
||||
else:
|
||||
lines.append("- 止损：建议设置 stopLossPct（按保证金口径）。在加密+杠杆下，先从 2%~6%（再结合杠杆换算）做网格测试。")
|
||||
lines.append(
|
||||
"- 止损：建议设置 stopLossPct（按保证金口径）。在加密+杠杆下，先从 2%~6%（再结合杠杆换算）做网格测试。"
|
||||
)
|
||||
else:
|
||||
if lang == "en-US":
|
||||
lines.append(f"- Stop-loss: current stopLossPct={stop_loss:.4f} (margin basis). Test ±30% around it and monitor drawdown/liquidations.")
|
||||
lines.append(
|
||||
f"- Stop-loss: current stopLossPct={stop_loss:.4f} (margin basis). Test ±30% around it and monitor drawdown/liquidations."
|
||||
)
|
||||
elif lang == "zh-TW":
|
||||
lines.append(f"- 止損：目前 stopLossPct={stop_loss:.4f}（保證金口徑）。建議圍繞它做 ±30% 區間測試，並觀察回撤/爆倉次數變化。")
|
||||
lines.append(
|
||||
f"- 止損：目前 stopLossPct={stop_loss:.4f}（保證金口徑）。建議圍繞它做 ±30% 區間測試，並觀察回撤/爆倉次數變化。"
|
||||
)
|
||||
else:
|
||||
lines.append(f"- 止损：当前 stopLossPct={stop_loss:.4f}（保证金口径）。建议围绕它做 ±30% 的区间测试，并观察回撤/爆仓次数变化。")
|
||||
lines.append(
|
||||
f"- 止损：当前 stopLossPct={stop_loss:.4f}（保证金口径）。建议围绕它做 ±30% 的区间测试，并观察回撤/爆仓次数变化。"
|
||||
)
|
||||
if take_profit > 0 and (not trailing_enabled):
|
||||
if lang == "en-US":
|
||||
lines.append(f"- Take-profit: current takeProfitPct={take_profit:.4f}. Also test enabling trailing to reduce profit giveback.")
|
||||
lines.append(
|
||||
f"- Take-profit: current takeProfitPct={take_profit:.4f}. Also test enabling trailing to reduce profit giveback."
|
||||
)
|
||||
elif lang == "zh-TW":
|
||||
lines.append(f"- 止盈：目前 takeProfitPct={take_profit:.4f}。建議同時測試啟用移動止盈（trailing）以降低盈利回撤。")
|
||||
lines.append(
|
||||
f"- 止盈：目前 takeProfitPct={take_profit:.4f}。建議同時測試啟用移動止盈（trailing）以降低盈利回撤。"
|
||||
)
|
||||
else:
|
||||
lines.append(f"- 止盈：当前 takeProfitPct={take_profit:.4f}。建议同时测试开启移动止盈（trailing）以降低盈利回撤。")
|
||||
lines.append(
|
||||
f"- 止盈：当前 takeProfitPct={take_profit:.4f}。建议同时测试开启移动止盈（trailing）以降低盈利回撤。"
|
||||
)
|
||||
if trailing_enabled:
|
||||
if lang == "en-US":
|
||||
lines.append(f"- Trailing: enabled, pct={trailing_pct:.4f}, activationPct={trailing_act:.4f}. Set activation near typical winner PnL and test pct at 0.5x~1.5x.")
|
||||
lines.append(
|
||||
f"- Trailing: enabled, pct={trailing_pct:.4f}, activationPct={trailing_act:.4f}. Set activation near typical winner PnL and test pct at 0.5x~1.5x."
|
||||
)
|
||||
elif lang == "zh-TW":
|
||||
lines.append(f"- 移動止盈：已啟用，pct={trailing_pct:.4f}, activationPct={trailing_act:.4f}。建議將 activationPct 設為略低於常見單筆盈利水平，並把 pct 做 0.5x~1.5x 測試。")
|
||||
lines.append(
|
||||
f"- 移動止盈：已啟用，pct={trailing_pct:.4f}, activationPct={trailing_act:.4f}。建議將 activationPct 設為略低於常見單筆盈利水平，並把 pct 做 0.5x~1.5x 測試。"
|
||||
)
|
||||
else:
|
||||
lines.append(f"- 移动止盈：已启用，pct={trailing_pct:.4f}, activationPct={trailing_act:.4f}。建议把 activationPct 设为略低于常见单笔盈利水平，并把 pct 做 0.5x~1.5x 测试。")
|
||||
lines.append(
|
||||
f"- 移动止盈：已启用，pct={trailing_pct:.4f}, activationPct={trailing_act:.4f}。建议把 activationPct 设为略低于常见单笔盈利水平，并把 pct 做 0.5x~1.5x 测试。"
|
||||
)
|
||||
else:
|
||||
if lang == "en-US":
|
||||
lines.append("- Trailing: consider trailing.enabled=true; start with pct=1%~3% (margin basis) and test.")
|
||||
@@ -577,23 +639,37 @@ def _heuristic_ai_advice(runs: list[dict], lang: str) -> str:
|
||||
else:
|
||||
lines.append("- 移动止盈：建议开启 trailing.enabled=true，并从 pct=1%~3%（保证金口径换算后）开始测试。")
|
||||
if lang == "en-US":
|
||||
lines.append(f"- Entry sizing: entryPct={entry_pct:.4f}. Test 0.2/0.3/0.5/0.8 to find a better return/drawdown sweet spot.")
|
||||
lines.append(
|
||||
f"- Entry sizing: entryPct={entry_pct:.4f}. Test 0.2/0.3/0.5/0.8 to find a better return/drawdown sweet spot."
|
||||
)
|
||||
elif lang == "zh-TW":
|
||||
lines.append(f"- 開倉倉位：目前 entryPct={entry_pct:.4f}。建議先用 0.2/0.3/0.5/0.8 分層回測，找收益/回撤更優的甜區。")
|
||||
lines.append(
|
||||
f"- 開倉倉位：目前 entryPct={entry_pct:.4f}。建議先用 0.2/0.3/0.5/0.8 分層回測，找收益/回撤更優的甜區。"
|
||||
)
|
||||
else:
|
||||
lines.append(f"- 开仓仓位：当前 entryPct={entry_pct:.4f}。建议先用 0.2/0.3/0.5/0.8 做分层回测，找收益/回撤更优的甜区。")
|
||||
lines.append(
|
||||
f"- 开仓仓位：当前 entryPct={entry_pct:.4f}。建议先用 0.2/0.3/0.5/0.8 做分层回测，找收益/回撤更优的甜区。"
|
||||
)
|
||||
|
||||
# Scaling (very light guidance)
|
||||
if isinstance(trend_add, dict) and trend_add.get("enabled"):
|
||||
if lang == "en-US":
|
||||
lines.append("- Trend scale-in: reduce sizePct or maxTimes to avoid drawdown expansion; verify same-bar conflict rules match expectations.")
|
||||
lines.append(
|
||||
"- Trend scale-in: reduce sizePct or maxTimes to avoid drawdown expansion; verify same-bar conflict rules match expectations."
|
||||
)
|
||||
elif lang == "zh-TW":
|
||||
lines.append("- 順勢加倉：建議優先降低 sizePct 或 maxTimes，避免回撤擴大；並確認同K線主信號禁用加減倉規則符合預期。")
|
||||
lines.append(
|
||||
"- 順勢加倉：建議優先降低 sizePct 或 maxTimes，避免回撤擴大；並確認同K線主信號禁用加減倉規則符合預期。"
|
||||
)
|
||||
else:
|
||||
lines.append("- 顺势加仓：建议优先降低 sizePct 或 maxTimes，避免回撤扩大；并确保同K线主信号禁用加减仓的规则与你预期一致。")
|
||||
lines.append(
|
||||
"- 顺势加仓：建议优先降低 sizePct 或 maxTimes，避免回撤扩大；并确保同K线主信号禁用加减仓的规则与你预期一致。"
|
||||
)
|
||||
if isinstance(dca_add, dict) and dca_add.get("enabled"):
|
||||
if lang == "en-US":
|
||||
lines.append("- DCA scale-in: very risky under leverage; keep maxTimes small, sizePct low, and use stricter stop-loss.")
|
||||
lines.append(
|
||||
"- DCA scale-in: very risky under leverage; keep maxTimes small, sizePct low, and use stricter stop-loss."
|
||||
)
|
||||
elif lang == "zh-TW":
|
||||
lines.append("- 逆勢加倉：加密槓桿下風險極高，建議 maxTimes 更小、sizePct 更低，並採用更嚴格止損。")
|
||||
else:
|
||||
@@ -607,7 +683,9 @@ def _heuristic_ai_advice(runs: list[dict], lang: str) -> str:
|
||||
lines.append("- 顺势减仓：适合降低波动，但可能降低收益；建议和移动止盈一起对比测试。")
|
||||
if isinstance(adverse_reduce, dict) and adverse_reduce.get("enabled"):
|
||||
if lang == "en-US":
|
||||
lines.append("- Adverse reduce: can control drawdowns but increases fees/slippage; consider enabling under higher leverage.")
|
||||
lines.append(
|
||||
"- Adverse reduce: can control drawdowns but increases fees/slippage; consider enabling under higher leverage."
|
||||
)
|
||||
elif lang == "zh-TW":
|
||||
lines.append("- 逆勢減倉：可用於控回撤，但可能增加手續費/滑點成本；建議優先在高槓桿時開啟。")
|
||||
else:
|
||||
@@ -622,12 +700,14 @@ def _heuristic_ai_advice(runs: list[dict], lang: str) -> str:
|
||||
lines.append("- 重點同時看：總收益、最大回撤、夏普、交易次數、爆倉/止損觸發次數。")
|
||||
else:
|
||||
# Keep English for other locales to ensure readability in fallback mode.
|
||||
lines.append("- Keep signal logic fixed; run parameter grid tests (coarse → fine). Change only 1-2 params per run.")
|
||||
lines.append(
|
||||
"- Keep signal logic fixed; run parameter grid tests (coarse → fine). Change only 1-2 params per run."
|
||||
)
|
||||
lines.append("- Track: total return, max drawdown, Sharpe, trade count, liquidation/stop-loss triggers.")
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
@backtest_bp.route('/backtest/aiAnalyze', methods=['POST'])
|
||||
@backtest_bp.route("/backtest/aiAnalyze", methods=["POST"])
|
||||
@login_required
|
||||
def ai_analyze_backtest_runs():
|
||||
"""
|
||||
@@ -641,16 +721,16 @@ def ai_analyze_backtest_runs():
|
||||
data = request.get_json() or {}
|
||||
user_id = g.user_id
|
||||
backtest_service.ensure_storage_schema()
|
||||
lang = _normalize_lang(data.get('lang'))
|
||||
run_ids = data.get('runIds') or []
|
||||
lang = _normalize_lang(data.get("lang"))
|
||||
run_ids = data.get("runIds") or []
|
||||
if not isinstance(run_ids, list) or not run_ids:
|
||||
return jsonify({'code': 0, 'msg': 'runIds is required', 'data': None}), 400
|
||||
return jsonify({"code": 0, "msg": "runIds is required", "data": None}), 400
|
||||
|
||||
# Limit to avoid huge prompts / payload.
|
||||
run_ids = [int(x) for x in run_ids if str(x).strip().isdigit()]
|
||||
run_ids = run_ids[:10]
|
||||
if not run_ids:
|
||||
return jsonify({'code': 0, 'msg': 'runIds is required', 'data': None}), 400
|
||||
return jsonify({"code": 0, "msg": "runIds is required", "data": None}), 400
|
||||
|
||||
placeholders = ",".join(["?"] * len(run_ids))
|
||||
with get_db_connection() as db:
|
||||
@@ -673,28 +753,28 @@ def ai_analyze_backtest_runs():
|
||||
runs: list[dict] = []
|
||||
for r in rows:
|
||||
try:
|
||||
r['strategy_config'] = json.loads(r.get('strategy_config') or '{}')
|
||||
r["strategy_config"] = json.loads(r.get("strategy_config") or "{}")
|
||||
except Exception:
|
||||
r['strategy_config'] = {}
|
||||
r["strategy_config"] = {}
|
||||
try:
|
||||
r['config_snapshot'] = json.loads(r.get('config_snapshot') or '{}')
|
||||
r["config_snapshot"] = json.loads(r.get("config_snapshot") or "{}")
|
||||
except Exception:
|
||||
r['config_snapshot'] = {}
|
||||
r["config_snapshot"] = {}
|
||||
try:
|
||||
r['result'] = json.loads(r.get('result_json') or '{}')
|
||||
r["result"] = json.loads(r.get("result_json") or "{}")
|
||||
except Exception:
|
||||
r['result'] = {}
|
||||
r.pop('result_json', None)
|
||||
r["result"] = {}
|
||||
r.pop("result_json", None)
|
||||
runs.append(r)
|
||||
|
||||
if not runs:
|
||||
return jsonify({'code': 0, 'msg': 'runs not found', 'data': None}), 404
|
||||
return jsonify({"code": 0, "msg": "runs not found", "data": None}), 404
|
||||
|
||||
# OpenRouter (optional)
|
||||
base_url, api_key = _openrouter_base_and_key()
|
||||
if not api_key:
|
||||
analysis = _heuristic_ai_advice(runs, lang)
|
||||
return jsonify({'code': 1, 'msg': 'OK', 'data': {'analysis': analysis, 'mode': 'heuristic', 'lang': lang}})
|
||||
return jsonify({"code": 1, "msg": "OK", "data": {"analysis": analysis, "mode": "heuristic", "lang": lang}})
|
||||
|
||||
model = (os.getenv("OPENROUTER_MODEL", "openai/gpt-4o-mini") or "").strip() or "openai/gpt-4o-mini"
|
||||
temperature = float(os.getenv("OPENROUTER_TEMPERATURE", "0.4") or 0.4)
|
||||
@@ -767,21 +847,23 @@ def ai_analyze_backtest_runs():
|
||||
analysis = content.strip()
|
||||
if not analysis:
|
||||
analysis = _heuristic_ai_advice(runs, lang)
|
||||
return jsonify({'code': 1, 'msg': 'OK', 'data': {'analysis': analysis, 'mode': 'heuristic_fallback', 'lang': lang}})
|
||||
return jsonify({'code': 1, 'msg': 'OK', 'data': {'analysis': analysis, 'mode': 'llm', 'lang': lang}})
|
||||
return jsonify(
|
||||
{"code": 1, "msg": "OK", "data": {"analysis": analysis, "mode": "heuristic_fallback", "lang": lang}}
|
||||
)
|
||||
return jsonify({"code": 1, "msg": "OK", "data": {"analysis": analysis, "mode": "llm", "lang": lang}})
|
||||
except requests.exceptions.RequestException as e:
|
||||
# Do not fail the whole endpoint if LLM provider is misconfigured or rate-limited.
|
||||
logger.error(f"OpenRouter request failed, falling back to heuristic: {e}")
|
||||
analysis = _heuristic_ai_advice(runs, lang)
|
||||
return jsonify(
|
||||
{
|
||||
'code': 1,
|
||||
'msg': 'OK',
|
||||
'data': {
|
||||
'analysis': analysis,
|
||||
'mode': 'heuristic_fallback',
|
||||
'lang': lang,
|
||||
'llmError': str(e),
|
||||
"code": 1,
|
||||
"msg": "OK",
|
||||
"data": {
|
||||
"analysis": analysis,
|
||||
"mode": "heuristic_fallback",
|
||||
"lang": lang,
|
||||
"llmError": str(e),
|
||||
},
|
||||
}
|
||||
)
|
||||
@@ -789,5 +871,4 @@ def ai_analyze_backtest_runs():
|
||||
except Exception as e:
|
||||
logger.error(f"ai_analyze_backtest_runs failed: {e}")
|
||||
logger.error(traceback.format_exc())
|
||||
return jsonify({'code': 0, 'msg': str(e), 'data': None}), 500
|
||||
|
||||
return jsonify({"code": 0, "msg": str(e), "data": None}), 500
|
||||
|
||||
Reference in New Issue
Block a user