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import json
def create_filterable_metadata():
"""
Reads products.json to extract unique brand and category values,
and saves them to a JSON file for later use in filtering.
"""
try:
with open("products.json", "r", encoding="utf-8") as f:
products = json.load(f)
except FileNotFoundError:
print("Error: products.json not found.")
return
except json.JSONDecodeError:
print("Error: Could not decode JSON from products.json.")
return
brands = sorted(list(set(p["brand"] for p in products.values() if p.get("brand"))))
categories = sorted(list(set(p["category"] for p in products.values() if p.get("category"))))
filterable_values = {
"brands": brands,
"categories": categories,
}
with open("filterable_metadata.json", "w", encoding="utf-8") as f:
json.dump(filterable_values, f, indent=4)
print("Successfully created filterable_metadata.json")
if __name__ == "__main__":
create_filterable_metadata()
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