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import streamlit as st
from typing import Dict, List
from datetime import datetime
class BrainstormManager:
def __init__(self):
if 'products' not in st.session_state:
st.session_state.products = {}
def generate_product_form(self) -> tuple:
with st.form("product_form"):
basic_info = {
"name": st.text_input("Product Name"),
"category": st.selectbox("Category", ["Digital", "Physical", "Service"]),
"description": st.text_area("Description"),
"target_audience": st.multiselect("Target Audience",
["Students", "Professionals", "Businesses", "Seniors", "Youth"]),
"price_range": st.slider("Price Range ($)", 0, 1000, (50, 200)),
"launch_date": st.date_input("Expected Launch Date")
}
st.subheader("Market Analysis")
market_analysis = {
"competitors": st.text_area("Main Competitors (one per line)"),
"unique_features": st.text_area("Unique Selling Points"),
"market_size": st.selectbox("Market Size",
["Small", "Medium", "Large", "Enterprise"]),
"growth_potential": st.slider("Growth Potential", 1, 10)
}
submitted = st.form_submit_button("Save Product")
return basic_info, market_analysis, submitted
def analyze_product(self, product_data: Dict) -> Dict:
insights = {
"market_opportunity": self._calculate_opportunity_score(product_data),
"suggested_price": self._suggest_price(product_data),
"risk_factors": self._identify_risks(product_data),
"next_steps": self._generate_next_steps(product_data)
}
return insights
def _calculate_opportunity_score(self, data: Dict) -> int:
score = 0
if data.get("market_size") == "Large":
score += 3
if len(data.get("target_audience", [])) >= 2:
score += 2
if data.get("growth_potential", 0) > 7:
score += 2
return min(score, 10)
def _suggest_price(self, data: Dict) -> float:
base_price = sum(data.get("price_range", (0, 0))) / 2
if data.get("market_size") == "Enterprise":
base_price *= 1.5
return round(base_price, 2)
def _identify_risks(self, data: Dict) -> List[str]:
risks = []
if data.get("competitors"):
risks.append("Competitive market - differentiation crucial")
if len(data.get("target_audience", [])) < 2:
risks.append("Narrow target audience - consider expansion")
return risks
def _generate_next_steps(self, data: Dict) -> List[str]:
steps = [
"Create detailed product specification",
"Develop MVP timeline",
"Plan marketing strategy"
]
if data.get("market_size") == "Enterprise":
steps.append("Prepare enterprise sales strategy")
return steps |