47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
"""Cliente de Open Food Facts: busca productos y los normaliza a la forma de
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alimento de la app. Tolerante a fallos: devuelve [] si algo va mal."""
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import httpx
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_SEARCH = "https://world.openfoodfacts.org/cgi/search.pl"
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def search(q: str, limit: int = 12) -> list[dict]:
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"""Devuelve alimentos normalizados: {name, kcal_100g, off_id, barcode}."""
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try:
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resp = httpx.get(
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_SEARCH,
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params={
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"search_terms": q,
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"search_simple": 1,
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"action": "process",
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"json": 1,
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"page_size": limit,
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"fields": "product_name,nutriments,code",
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},
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timeout=6.0,
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headers={"User-Agent": "autoayuno/1.0 (self-hosted)"},
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)
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if resp.status_code != 200:
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return []
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out = []
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for p in resp.json().get("products", []):
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name = (p.get("product_name") or "").strip()
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kcal = p.get("nutriments", {}).get("energy-kcal_100g")
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if not name or kcal is None:
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continue
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try:
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kcal = float(kcal)
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except (TypeError, ValueError):
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continue
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if kcal <= 0:
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continue
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out.append({
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"name": name[:120],
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"kcal_100g": kcal,
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"off_id": p.get("code"),
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"barcode": p.get("code"),
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})
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return out
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except Exception:
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return []
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