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"""
Fetch ASIC miner prices from Hashrate Index API
Downloads price indices for efficiency categories and calculates individual miner prices
"""
import requests
import pandas as pd
import os
from datetime import datetime
from miner_specs import MINER_SPECS
# Efficiency category mapping for each miner
EFFICIENCY_MAPPING = {
's19pro': '25to38', # 30 W/TH
's19jpro': '25to38', # 30 W/TH
's19kpro': '19to25', # 23 W/TH
's21': 'under19', # 18 W/TH
'ka3': 'under19', # 19 W/TH
't19': '25to38', # 38 W/TH
's19xp': '19to25', # 21 W/TH
's19apro': '25to38', # 31 W/TH
'm50s': '19to25', # 24 W/TH
'm53': '25to38' , # 29 W/TH
'm30s':'25to38' # 31 W/TH
}
def fetch_asic_price_for_date(target_date, api_key=None, currency='USD'):
"""
Fetch ASIC price for a specific historical date
Parameters:
-----------
target_date : str or datetime
Target date in format 'YYYY-MM-DD' or datetime object
api_key : str, optional
Hashrate Index API key
currency : str
Currency (default: USD)
Returns:
--------
tuple: (dict of miner_name -> price, bool indicating if data exists)
"""
# Get API key from environment if not provided
if not api_key:
api_key = os.environ.get('HASHRATE_API_KEY')
if not api_key:
print("⚠️ No API key found, using fallback prices")
return get_fallback_prices(), False
# Convert to datetime if string
if isinstance(target_date, str):
target_date = pd.to_datetime(target_date)
url = "https://api.hashrateindex.com/v1/hashrateindex/asic/price-index"
headers = {
"Accept": "application/json",
"X-Hi-Api-Key": api_key
}
params = {
"currency": currency,
"span": "ALL" # Get all historical data
}
try:
response = requests.get(url, headers=headers, params=params, timeout=30)
response.raise_for_status()
data = response.json().get("data", [])
if not data:
print("⚠️ No data returned from API")
return get_fallback_prices(), False
# Create DataFrame
df = pd.DataFrame(data)
df['timestamp'] = pd.to_datetime(df['timestamp'])
df['date'] = df['timestamp'].dt.date
# Find closest date
target_date_only = target_date.date()
df['date_diff'] = abs((df['timestamp'].dt.date - target_date_only).apply(lambda x: x.days))
# Get row with closest date (within 7 days tolerance)
closest_row = df.loc[df['date_diff'].idxmin()]
if closest_row['date_diff'] > 7:
print(f"⚠️ No price data within 7 days of {target_date_only}")
return get_fallback_prices(), False
# Extract efficiency prices
efficiency_prices = {
'under19': closest_row.get('under19', None),
'19to25': closest_row.get('19to25', None),
'25to38': closest_row.get('25to38', None)
}
print(f"✅ Found price data for {closest_row['date']} (requested: {target_date_only})")
print(f" under19: ${efficiency_prices['under19']}/TH")
print(f" 19to25: ${efficiency_prices['19to25']}/TH")
print(f" 25to38: ${efficiency_prices['25to38']}/TH")
# Calculate miner prices
miner_prices = {}
for miner_name, efficiency_cat in EFFICIENCY_MAPPING.items():
if miner_name in MINER_SPECS:
hashrate = MINER_SPECS[miner_name]['hashrate']
price_per_th = efficiency_prices.get(efficiency_cat)
if price_per_th and price_per_th > 0:
miner_prices[miner_name] = hashrate * price_per_th
else:
miner_prices[miner_name] = get_fallback_price_for_miner(miner_name)
return miner_prices, True
except requests.exceptions.RequestException as e:
print(f"⚠️ API request failed: {e}")
return get_fallback_prices(), False
except Exception as e:
print(f"⚠️ Error: {e}")
return get_fallback_prices(), False
def fetch_asic_price_index(api_key=None, currency='USD'):
"""
Fetch ASIC price index from Hashrate Index API
Parameters:
-----------
api_key : str, optional
Hashrate Index API key (if None, returns fallback prices)
currency : str
Currency (default: USD)
Returns:
--------
dict
Dictionary of miner_name -> price (USD)
"""
if not api_key:
api_key = os.environ.get('HASHRATE_API_KEY')
if not api_key:
print("⚠️ No API key provided, using fallback prices")
return get_fallback_prices()
url = "https://api.hashrateindex.com/v1/hashrateindex/asic/price-index"
headers = {
"Accept": "application/json",
"X-Hi-Api-Key": api_key
}
params = {
"currency": currency,
"span": "1Y" # Last year of data
}
try:
response = requests.get(url, headers=headers, params=params, timeout=30)
response.raise_for_status()
data = response.json().get("data", [])
if not data:
print("⚠️ No data returned from API, using fallback prices")
return get_fallback_prices()
# Get most recent data
df = pd.DataFrame(data)
df['timestamp'] = pd.to_datetime(df['timestamp'])
df = df.sort_values('timestamp', ascending=False)
# Get latest row
latest = df.iloc[0]
# Extract efficiency category prices ($/TH)
efficiency_prices = {
'under19': latest.get('under19', None),
'19to25': latest.get('19to25', None),
'25to38': latest.get('25to38', None)
}
print(f"✅ Fetched price index (date: {latest['timestamp'].date()})")
print(f" under19: ${efficiency_prices['under19']}/TH")
print(f" 19to25: ${efficiency_prices['19to25']}/TH")
print(f" 25to38: ${efficiency_prices['25to38']}/TH")
# Calculate individual miner prices
miner_prices = {}
for miner_name, efficiency_cat in EFFICIENCY_MAPPING.items():
if miner_name in MINER_SPECS:
hashrate = MINER_SPECS[miner_name]['hashrate']
price_per_th = efficiency_prices.get(efficiency_cat)
if price_per_th:
miner_prices[miner_name] = hashrate * price_per_th
else:
# Fallback if category not available
miner_prices[miner_name] = get_fallback_price_for_miner(miner_name)
return miner_prices
except requests.exceptions.RequestException as e:
print(f"⚠️ API request failed: {e}")
print(" Using fallback prices")
return get_fallback_prices()
except Exception as e:
print(f"⚠️ Error processing API data: {e}")
print(" Using fallback prices")
return get_fallback_prices()
def get_fallback_prices():
"""
Fallback prices when API is unavailable
Based on approximate market prices as of Dec 2024
Returns:
--------
dict
Dictionary of miner_name -> price (USD)
"""
return {
's19pro': 2500,
's19jpro': 2200,
's19kpro': 3500,
's21': 5500,
'ka3': 5000,
't19': 2000,
's19xp': 4000,
's19apro': 2800,
'm50s': 3200,
'm53': 8000
}
def get_fallback_price_for_miner(miner_name):
"""Get fallback price for a specific miner"""
fallback = get_fallback_prices()
return fallback.get(miner_name, 2500)
# For backward compatibility with your existing code
FALLBACK_PRICES = get_fallback_prices()
if __name__ == "__main__":
print("\n" + "="*60)
print("ASIC Price Fetcher Test")
print("="*60 + "\n")
# Try to get API key from environment variable
api_key = os.environ.get('HASHRATE_API_KEY')
if api_key:
print(f"Using API key: {api_key[:8]}...")
else:
print("No API key found in HASHRATE_API_KEY environment variable")
print("Set it with: export HASHRATE_API_KEY='your-key-here'")
# Fetch prices
prices = fetch_asic_price_index(api_key)
print("\n" + "="*60)
print("Current Miner Prices")
print("="*60)
for miner_name, price in sorted(prices.items()):
specs = MINER_SPECS.get(miner_name, {})
full_name = specs.get('full_name', miner_name)
hashrate = specs.get('hashrate', 0)
efficiency = specs.get('efficiency', 0)
efficiency_cat = EFFICIENCY_MAPPING.get(miner_name, 'unknown')
print(f"{full_name:25s} ({hashrate:3.0f} TH/s, {efficiency:4.1f} W/TH)")
print(f" Category: {efficiency_cat:15s} → Price: ${price:,.2f}")
print()
print("="*60) |