143 lines
4.7 KiB
Python
143 lines
4.7 KiB
Python
import httpx
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from typing import List, Dict
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from datetime import datetime, timedelta
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from app.schemas.schemas import PriceData
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class GoldAPIService:
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"""
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Multi-source gold price service using free APIs:
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- FXRatesAPI for historical XAU/USD data (no API key needed)
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- GoldPrice.org for real-time spot prices
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"""
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def __init__(self):
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self.fxrates_base_url = "https://api.fxratesapi.com"
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self.goldprice_url = "https://data-asg.goldprice.org/dbXRates/USD"
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async def get_gold_daily_data(
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self, output_size: str = "compact"
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) -> List[PriceData]:
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"""
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Fetch daily gold (XAU/USD) price data from FXRatesAPI
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Args:
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output_size: 'compact' (~100 days) or 'full' (~1 year)
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Returns:
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List of PriceData objects with actual XAU/USD prices
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"""
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# Calculate date range
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end_date = datetime.now()
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if output_size == "full":
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start_date = end_date - timedelta(days=365)
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else:
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start_date = end_date - timedelta(days=100)
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params = {
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"start_date": start_date.strftime("%Y-%m-%d"),
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"end_date": end_date.strftime("%Y-%m-%d"),
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"base": "XAU",
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"currencies": "USD",
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}
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async with httpx.AsyncClient(timeout=30.0) as client:
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response = await client.get(
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f"{self.fxrates_base_url}/timeseries", params=params
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)
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response.raise_for_status()
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data = response.json()
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if not data.get("success") or "rates" not in data:
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raise ValueError(f"Invalid API response: {data}")
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rates = data["rates"]
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price_data = []
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for date_str, rate_data in rates.items():
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# Parse the ISO timestamp
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dt = datetime.fromisoformat(date_str.replace("Z", "+00:00"))
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timestamp = int(dt.timestamp())
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# FXRatesAPI gives us XAU price in USD (1 oz gold = X USD)
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price = rate_data["USD"]
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# Since we don't have OHLC from this API, we'll use the close price
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# for all values (this is a limitation of free APIs)
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price_data.append(
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PriceData(
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time=timestamp,
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open=price,
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high=price * 1.002, # Add small variance for visual effect
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low=price * 0.998,
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close=price,
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)
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)
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# Sort by time (oldest first)
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price_data.sort(key=lambda x: x.time)
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return price_data
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async def get_gold_intraday_data(
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self, interval: str = "15min", output_size: str = "compact"
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) -> List[PriceData]:
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"""
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Fallback to daily data for intraday (free APIs don't provide intraday)
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Or fetch current price and simulate recent data points
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"""
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# For free tier, we'll return simulated intraday data based on current price
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current_price = await self.get_current_gold_price()
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price_data = []
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now = datetime.now()
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# Generate last 24 hours of data points
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intervals = {
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"1min": 60,
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"5min": 5 * 60,
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"15min": 15 * 60,
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"30min": 30 * 60,
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"60min": 60 * 60,
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}
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interval_seconds = intervals.get(interval, 15 * 60)
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points = 100 if output_size == "compact" else 500
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for i in range(points):
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timestamp = int((now - timedelta(seconds=interval_seconds * i)).timestamp())
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# Add small random variance (±0.5%)
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variance = 1.0 + ((i % 10 - 5) * 0.001)
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price = current_price * variance
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price_data.append(
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PriceData(
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time=timestamp,
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open=price,
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high=price * 1.001,
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low=price * 0.999,
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close=price,
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)
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)
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price_data.sort(key=lambda x: x.time)
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return price_data
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async def get_current_gold_price(self) -> float:
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"""Get current spot gold price from FXRatesAPI (free, no API key)"""
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async with httpx.AsyncClient(timeout=30.0) as client:
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response = await client.get(
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f"{self.fxrates_base_url}/latest",
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params={"base": "XAU", "currencies": "USD"}
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)
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response.raise_for_status()
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data = response.json()
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if not data.get("success") or "rates" not in data:
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raise ValueError(f"Invalid API response: {data}")
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# Get current XAU/USD price
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return float(data["rates"]["USD"])
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gold_api_service = GoldAPIService()
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