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medireccomendtation #2752

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339 changes: 339 additions & 0 deletions site/sfguides/src/getting-started-with-cortex-analyst/medireccomendtation
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import re
import json
from typing import List, Dict

# Sample product catalog (hardcoded for prototype; in real app, load from JSON or database)
# Based on common medicines in India, with fictional prices, ratings, and availability for demo purposes.
catalog = [
{
"id": 1,
"name": "Dolo 650 Tablet",
"brand": "Micro Labs",
"salt": "paracetamol",
"strength": "650mg",
"dosage_form": "tablet",
"pack_size": "15 tablets",
"price": 30.0,
"ratings": 4.5,
"indications": ["fever", "pain", "headache"],
"tags": ["otc", "pediatric"],
"rx": False,
"available_pincodes": ["110001", "400001", "560001", "600001"],
"delivery_sla": "Same day",
"stock": True
},
{
"id": 2,
"name": "Calpol 500 Tablet",
"brand": "GSK",
"salt": "paracetamol",
"strength": "500mg",
"dosage_form": "tablet",
"pack_size": "10 tablets",
"price": 20.0,
"ratings": 4.6,
"indications": ["fever", "pain"],
"tags": ["otc", "sugar-free"],
"rx": False,
"available_pincodes": ["110001", "560001", "700001"],
"delivery_sla": "1-2 days",
"stock": True
},
{
"id": 3,
"name": "Brufen 400 Tablet",
"brand": "Abbott",
"salt": "ibuprofen",
"strength": "400mg",
"dosage_form": "tablet",
"pack_size": "15 tablets",
"price": 25.0,
"ratings": 4.4,
"indications": ["pain", "inflammation", "fever"],
"tags": ["otc"],
"rx": False,
"available_pincodes": ["400001", "560001", "600001"],
"delivery_sla": "Same day",
"stock": True
},
{
"id": 4,
"name": "Amoxil 500 Capsule",
"brand": "GSK",
"salt": "amoxicillin",
"strength": "500mg",
"dosage_form": "capsule",
"pack_size": "10 capsules",
"price": 100.0,
"ratings": 4.7,
"indications": ["bacterial infection"],
"tags": ["antibiotic"],
"rx": True,
"available_pincodes": ["110001", "400001", "560001"],
"delivery_sla": "1-2 days",
"stock": True
},
{
"id": 5,
"name": "Glycomet 500 Tablet",
"brand": "USV",
"salt": "metformin",
"strength": "500mg",
"dosage_form": "tablet",
"pack_size": "10 tablets",
"price": 40.0,
"ratings": 4.5,
"indications": ["diabetes"],
"tags": ["rx", "sugar-free"],
"rx": True,
"available_pincodes": ["110001", "600001", "700001"],
"delivery_sla": "Same day",
"stock": True
},
{
"id": 6,
"name": "Omez 20 Capsule",
"brand": "Dr Reddy's",
"salt": "omeprazole",
"strength": "20mg",
"dosage_form": "capsule",
"pack_size": "15 capsules",
"price": 55.0,
"ratings": 4.6,
"indications": ["acidity", "heartburn", "ulcer"],
"tags": ["otc"],
"rx": False,
"available_pincodes": ["400001", "560001", "600001"],
"delivery_sla": "1-2 days",
"stock": True
},
{
"id": 7,
"name": "Cetzine 10 Tablet",
"brand": "GSK",
"salt": "cetirizine",
"strength": "10mg",
"dosage_form": "tablet",
"pack_size": "10 tablets",
"price": 20.0,
"ratings": 4.3,
"indications": ["allergy", "itching"],
"tags": ["otc", "pediatric"],
"rx": False,
"available_pincodes": ["110001", "400001", "700001"],
"delivery_sla": "Same day",
"stock": True
},
{
"id": 8,
"name": "Pantocid 40 Tablet",
"brand": "Sun Pharma",
"salt": "pantoprazole",
"strength": "40mg",
"dosage_form": "tablet",
"pack_size": "10 tablets",
"price": 150.0,
"ratings": 4.8,
"indications": ["acidity", "GERD"],
"tags": ["rx"],
"rx": True,
"available_pincodes": ["560001", "600001", "700001"],
"delivery_sla": "1-2 days",
"stock": True
},
{
"id": 9,
"name": "Calcirol Sachet",
"brand": "Cadila",
"salt": "cholecalciferol",
"strength": "60000 IU",
"dosage_form": "sachet",
"pack_size": "1 sachet",
"price": 35.0,
"ratings": 4.4,
"indications": ["vitamin D deficiency"],
"tags": ["supplement", "otc"],
"rx": False,
"available_pincodes": ["110001", "400001", "560001", "600001", "700001"],
"delivery_sla": "Same day",
"stock": True
},
{
"id": 10,
"name": "Supradyn Tablet",
"brand": "Bayer",
"salt": "multivitamin",
"strength": "various",
"dosage_form": "tablet",
"pack_size": "15 tablets",
"price": 50.0,
"ratings": 4.7,
"indications": ["vitamin deficiency", "general health"],
"tags": ["supplement", "otc", "sugar-free"],
"rx": False,
"available_pincodes": ["110001", "400001", "560001"],
"delivery_sla": "1-2 days",
"stock": True
},
{
"id": 11,
"name": "Ascoril Syrup",
"brand": "Glenmark",
"salt": "terbutaline + bromhexine + guaifenesin",
"strength": "various",
"dosage_form": "syrup",
"pack_size": "100ml",
"price": 120.0,
"ratings": 4.5,
"indications": ["cough", "bronchitis"],
"tags": ["otc", "pediatric"],
"rx": False,
"available_pincodes": ["400001", "600001", "700001"],
"delivery_sla": "Same day",
"stock": True
},
{
"id": 12,
"name": "Volini Gel",
"brand": "Sun Pharma",
"salt": "diclofenac",
"strength": "1% w/w",
"dosage_form": "gel",
"pack_size": "30g",
"price": 100.0,
"ratings": 4.6,
"indications": ["pain", "sprain"],
"tags": ["otc", "topical"],
"rx": False,
"available_pincodes": ["110001", "560001", "700001"],
"delivery_sla": "1-2 days",
"stock": True
},
# Add more if needed for diversity
]

def extract_keywords(text: str) -> List[str]:
"""Simple keyword extraction from text."""
stop_words = {"i", "am", "the", "a", "an", "for", "to", "in", "on", "with", "this", "that", "is", "have", "need"}
text_lower = text.lower()
words = re.findall(r'\b\w+\b', text_lower)
keywords = [word for word in words if word not in stop_words and len(word) > 2]
return list(set(keywords)) # Unique keywords

def find_substitutes(product: Dict, catalog: List[Dict]) -> List[Dict]:
"""Find similar products if exact not available."""
substitutes = []
for other in catalog:
if other["id"] != product["id"] and other["salt"] == product["salt"]:
substitutes.append(other)
return substitutes

def recommend_products(
query: str,
response: str,
pincode: str,
catalog: List[Dict],
num_recs: int = 10
) -> List[Dict]:
"""Recommend products based on conversation, handling nuances."""
# Combine query and response for keyword extraction
combined_text = query + " " + response
keywords = extract_keywords(combined_text)

# Extract potential constraints (simple regex-based)
age_group = "adult" if "adult" in combined_text.lower() else ("pediatric" if "child" in combined_text.lower() or "pediatric" in combined_text.lower() else None)
sugar_free = "sugar-free" in combined_text.lower()
dosage_form_pref = re.search(r'(tablet|capsule|syrup|gel|injection)', combined_text.lower())
dosage_form_pref = dosage_form_pref.group(1) if dosage_form_pref else None

candidates = []
for product in catalog:
# Base score on keyword matches in salt, indications, tags
score = 0.0
matches = []

# Salt match
if any(kw in product["salt"].lower() for kw in keywords):
score += 2.0
matches.append("salt match")

# Indications match
for ind in product["indications"]:
if any(kw in ind.lower() for kw in keywords):
score += 1.5
matches.append("indication match")

# Tags match
if sugar_free and "sugar-free" in product["tags"]:
score += 1.0
matches.append("sugar-free")
if age_group == "pediatric" and "pediatric" in product["tags"]:
score += 1.0
matches.append("pediatric suitable")

# Dosage form preference
if dosage_form_pref and dosage_form_pref in product["dosage_form"].lower():
score += 0.5
matches.append("preferred dosage form")

# Availability check
available = pincode in product["available_pincodes"] and product["stock"]
if not available:
continue # Skip if not available

# Price factor (lower price higher score, normalized)
max_price = max(p["price"] for p in catalog)
price_score = (max_price - product["price"]) / max_price * 0.5
score += price_score

# Ratings factor
score += product["ratings"] * 0.2

if score > 0:
reason = f"Matches: {', '.join(matches)}. Available in your area with {product['delivery_sla']} delivery. Price: ₹{product['price']}, Ratings: {product['ratings']}"
candidates.append((product, score, reason))

# Sort by score descending
candidates.sort(key=lambda x: x[1], reverse=True)

# Diversity: Avoid too many from same brand or salt
diverse_recs = []
seen_brands = set()
seen_salts = set()
for prod, score, reason in candidates:
if len(diverse_recs) >= num_recs:
break
if prod["brand"] not in seen_brands and prod["salt"] not in seen_salts:
diverse_recs.append({"id": prod["id"], "score": round(score, 2), "reason": reason})
seen_brands.add(prod["brand"])
seen_salts.add(prod["salt"])
elif len(diverse_recs) < 5: # Allow some duplicates if needed to reach min 5
diverse_recs.append({"id": prod["id"], "score": round(score, 2), "reason": reason})

# If less than 5, add substitutes or note
if len(diverse_recs) < 5:
for prod, score, reason in candidates[len(diverse_recs):]:
if len(diverse_recs) >= 5:
break
diverse_recs.append({"id": prod["id"], "score": round(score, 2), "reason": reason + " (substitute)"})

return diverse_recs

def main():
"""Prototype app entry point."""
print("Welcome to Smart Product Recommender Prototype!")
print("Enter the details below to get recommendations.\n")

query = input("User Query (e.g., 'I have a headache and fever'): ")
response = input("Doctor/Assistant Response (e.g., 'Take paracetamol 500mg for pain relief'): ")
pincode = input("Pincode (e.g., '110001'): ")

recommendations = recommend_products(query, response, pincode, catalog, num_recs=10)

print("\nRecommended Products:")
print(json.dumps(recommendations, indent=4))

# For contest demo, you can add more features like loading catalog from file, UI with tkinter, etc.

if __name__ == "__main__":
main()