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@@ -422,16 +422,27 @@ with tab_explore:
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if eav_data:
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ing_text = str(row.get('ingredients_text', '')).lower()
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all_text = str(row.get('allergens', '')).lower()
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+ product_name_text = str(row.get('product_name', '')).lower()
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+
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for e in eav_data:
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cat = str(e['name']).lower()
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val = str(e['value']).lower()
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# Clinical Trace Checks...
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- if cat == 'condition' and val == 'pregnant':
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- if float(row.get('iron_100g', 0) or 0) < 0.003:
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- warns.append("⚠️ Low Iron (Pregnancy Risk)")
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- else:
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- warns.append("💚 Recommended (High Iron)")
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+ if cat == 'condition' and (val == 'pregnant' or val == 'pregnancy' or val == 'breastfeeding'):
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+ # Forbidden / High Risk (Toxoplasmosis & Listeria)
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+ if any(x in ing_text or x in product_name_text for x in ['cru', 'raw', 'viande crue', 'sushi', 'sashimi', 'poisson cru']):
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+ warns.append("⚠️ Forbidden: Raw Meat/Fish (Toxoplasmosis/Parasite Risk)")
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+ if any(x in ing_text or x in product_name_text for x in ['lait cru', 'unpasteurized', 'non pasteurisé']):
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+ warns.append("⚠️ Forbidden: Unpasteurized Dairy (Listeria Risk)")
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+ if any(x in ing_text or x in product_name_text for x in ['alcool', 'wine', 'alcohol', 'beer']):
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+ warns.append("⚠️ Forbidden: Contains Alcohol")
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+
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+ # Recommended (Iron & Calcium)
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+ if float(row.get('iron_100g', 0) or 0) > 0.003:
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+ warns.append("💚 Recommended: High Iron (Pregnancy Health)")
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+ if float(row.get('calcium_100g', 0) or 0) > 0.120:
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+ warns.append("💚 Recommended: High Calcium (Bone Health / Breastfeeding)")
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if cat == 'illness' and val == 'osteoporosis':
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if float(row.get('calcium_100g', 0) or 0) < 0.120:
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@@ -446,14 +457,14 @@ with tab_explore:
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warns.append("💚 Recommended (High Vitamin C)")
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if cat == 'diet' and val in ['vegan', 'vegetarian']:
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- if any(x in ing_text for x in ['meat', 'beef', 'chicken', 'fish', 'gelatin', 'whey']):
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+ if any(x in ing_text for x in ['meat', 'beef', 'chicken', 'fish', 'gelatin', 'whey', 'pork', 'porc', 'poulet']):
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warns.append("⚠️ Contains Animal Products")
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if cat == 'diet' and val == 'halal':
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- if any(x in ing_text for x in ['pork', 'pig', 'wine', 'alcohol', 'beer']):
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+ if any(x in ing_text for x in ['pork', 'pig', 'porc', 'wine', 'alcohol', 'beer', 'vin']):
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warns.append("⚠️ Probable Haram Ingredients (e.g. Pork/Wine)")
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if cat in ['dislike', 'allergy']:
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- if val in ing_text or val in all_text:
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+ if val in ing_text or val in all_text or val in product_name_text:
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warns.append(f"⚠️ Contains: {val.upper()}")
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warnings_col.append(" | ".join(list(set(warns))) if warns else "✅ Safe for Profile")
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lanfr144