mirror of
https://github.com/Xe138/AI-Trader.git
synced 2026-04-02 17:37:24 -04:00
Bill
76b946449e
Phase 2 progress - API integration complete. API Changes: - Replace date_range (List[str]) with start_date/end_date (str) - Add automatic end_date defaulting to start_date for single day - Add date format validation - Integrate PriceDataManager for on-demand downloads - Add rate limit handling (trusts provider, no pre-config) - Validate date ranges with configurable max days (MAX_SIMULATION_DAYS) New Modules: - api/date_utils.py - Date validation and expansion utilities - scripts/migrate_price_data.py - Migration script for merged.jsonl API Flow: 1. Validate date range (start <= end, max 30 days, not future) 2. Check missing price data coverage 3. Download missing data if AUTO_DOWNLOAD_PRICE_DATA=true 4. Priority-based download (maximize date completion) 5. Create job with available trading dates 6. Graceful handling of partial data (rate limits) Configuration: - AUTO_DOWNLOAD_PRICE_DATA (default: true) - MAX_SIMULATION_DAYS (default: 30) - No rate limit configuration needed Still TODO: - Update tools/price_tools.py to read from database - Implement simulation run tracking - Update .env.example - Comprehensive testing - Documentation updates Breaking Changes: - API request format changed (date_range -> start_date/end_date) - This completes v0.3.0 preparation
94 lines
2.3 KiB
Python
94 lines
2.3 KiB
Python
"""
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Date range utilities for simulation date management.
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This module provides:
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- Date range expansion
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- Date range validation
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- Trading day detection
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"""
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import os
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from datetime import datetime, timedelta
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from typing import List
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def expand_date_range(start_date: str, end_date: str) -> List[str]:
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"""
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Expand date range into list of all dates (inclusive).
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Args:
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start_date: Start date (YYYY-MM-DD)
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end_date: End date (YYYY-MM-DD)
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Returns:
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Sorted list of dates in range
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Raises:
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ValueError: If dates are invalid or start > end
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"""
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start = datetime.strptime(start_date, "%Y-%m-%d")
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end = datetime.strptime(end_date, "%Y-%m-%d")
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if start > end:
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raise ValueError(f"start_date ({start_date}) must be <= end_date ({end_date})")
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dates = []
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current = start
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while current <= end:
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dates.append(current.strftime("%Y-%m-%d"))
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current += timedelta(days=1)
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return dates
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def validate_date_range(
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start_date: str,
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end_date: str,
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max_days: int = 30
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) -> None:
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"""
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Validate date range for simulation.
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Args:
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start_date: Start date (YYYY-MM-DD)
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end_date: End date (YYYY-MM-DD)
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max_days: Maximum allowed days in range
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Raises:
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ValueError: If validation fails
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"""
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# Parse dates
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try:
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start = datetime.strptime(start_date, "%Y-%m-%d")
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end = datetime.strptime(end_date, "%Y-%m-%d")
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except ValueError as e:
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raise ValueError(f"Invalid date format: {e}")
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# Check order
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if start > end:
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raise ValueError(f"start_date ({start_date}) must be <= end_date ({end_date})")
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# Check range size
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days = (end - start).days + 1
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if days > max_days:
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raise ValueError(
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f"Date range too large: {days} days (max: {max_days}). "
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f"Reduce range or increase MAX_SIMULATION_DAYS."
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)
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# Check not in future
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today = datetime.now().date()
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if end.date() > today:
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raise ValueError(f"end_date ({end_date}) cannot be in the future")
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def get_max_simulation_days() -> int:
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"""
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Get maximum simulation days from environment.
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Returns:
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Maximum days allowed in simulation range
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"""
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return int(os.getenv("MAX_SIMULATION_DAYS", "30"))
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