olsch01
06fb4a243e
- Created autonomous cast iron deal scanner - Scans eBay RSS feeds hourly for cast iron cookware - Calculates FMV based on brand, type, size - Sends Telegram alerts for deals ≥50% below FMV - Identifies Griswold, Wagner, Wapak, Birmingham, Lodge, Victor - Tracks seen items to avoid duplicate alerts - Valuation engine with size multipliers - Configurable preferences in config.json Known issue: eBay RSS unreliable - next iteration will use proper scraping
116 lines
3.6 KiB
Python
116 lines
3.6 KiB
Python
#!/usr/bin/env python3
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"""
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Cast Iron Valuation Engine
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Determines fair market value and calculates discount percentage
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"""
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import re
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# Base price ranges for common cast iron items (in good condition)
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BASE_PRICES = {
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'griswold': {'skillet': 150, 'griddle': 200, 'dutch_oven': 250, 'pot': 120, 'pan': 100},
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'wagner': {'skillet': 120, 'griddle': 180, 'dutch_oven': 220, 'pot': 100, 'pan': 90},
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'wapak': {'skillet': 180, 'griddle': 220, 'dutch_oven': 280, 'pot': 150, 'pan': 130},
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'birmingham': {'skillet': 160, 'griddle': 190, 'dutch_oven': 240, 'pot': 130, 'pan': 110},
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'lodge': {'skillet': 80, 'griddle': 120, 'dutch_oven': 150, 'pot': 70, 'pan': 60},
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'victor': {'skillet': 140, 'griddle': 170, 'dutch_oven': 210, 'pot': 120, 'pan': 100},
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'default': {'skillet': 100, 'griddle': 150, 'dutch_oven': 200, 'pot': 80, 'pan': 70}
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}
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# Size multipliers
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SIZE_MULTIPLIERS = {
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'#1': 0.5, '#2': 0.6, '#3': 0.7, '#4': 0.8, '#5': 0.9,
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'#6': 1.0, '#7': 1.1, '#8': 1.2, '#9': 1.3, '#10': 1.4,
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'#11': 1.5, '#12': 1.6, '#13': 1.7, '#14': 1.8
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}
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def identify_brand(title):
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"""Identify the brand from title"""
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title_lower = title.lower()
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brands = ['griswold', 'wagner', 'wapak', 'birmingham', 'lodge', 'victor', 'hollowware']
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for brand in brands:
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if brand in title_lower:
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return brand
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return 'default'
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def identify_item_type(title):
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"""Identify the type of item from title"""
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title_lower = title.lower()
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types = ['skillet', 'griddle', 'dutch oven', 'pot', 'pan', 'grill', 'waffle', 'mold']
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for item_type in types:
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if item_type in title_lower:
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return item_type.replace(' ', '_')
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return 'skillet' # Default to skillet
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def extract_size(title):
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"""Extract size number from title"""
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# Look for patterns like #8, 8 inch, size 8, etc.
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patterns = [
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r'#(\d{1,2})',
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r'size\s*(\d{1,2})',
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r'(\d{1,2})\s*inch',
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r'(\d{1,2})\s*"',
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]
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for pattern in patterns:
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match = re.search(pattern, title, re.IGNORECASE)
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if match:
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size_num = match.group(1)
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return f"#{size_num}"
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return '#8' # Default to #8
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def calculate_fmv(title):
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"""
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Calculate Fair Market Value for an item
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Returns estimated FMV based on brand, type, and size
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"""
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brand = identify_brand(title)
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item_type = identify_item_type(title)
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size = extract_size(title)
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# Get base price
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brand_prices = BASE_PRICES.get(brand, BASE_PRICES['default'])
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base_price = brand_prices.get(item_type, brand_prices['skillet'])
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# Apply size multiplier
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multiplier = SIZE_MULTIPLIERS.get(size, 1.0)
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fmv = base_price * multiplier
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return round(fmv, 2)
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def is_good_deal(price, title, min_discount=50):
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"""
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Determine if an item is a good deal
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Returns (is_deal, discount_percent, fmv)
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"""
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fmv = calculate_fmv(title)
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if price <= 0 or fmv <= 0:
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return False, 0, fmv
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discount_percent = ((fmv - price) / fmv) * 100
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if discount_percent >= min_discount:
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return True, discount_percent, fmv
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return False, discount_percent, fmv
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if __name__ == "__main__":
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# Test the valuation engine
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test_items = [
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"Griswold #8 Skillet - Rusty",
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"Wagner Sidney O -AI - Vintage Cast Iron",
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"Wapak Funny Face Skillet #10",
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"Birmingham Stove & Range Co. #12 Skillet"
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]
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print("Valuation Engine Test:\n")
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for title in test_items:
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fmv = calculate_fmv(title)
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print(f"{title[:50]}")
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print(f" → FMV: ${fmv}\n")
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