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"""UI components for venture strategies and analysis.""" | |
import gradio as gr | |
import json | |
from typing import Dict, Any, List | |
import plotly.graph_objects as go | |
import plotly.express as px | |
import pandas as pd | |
from datetime import datetime | |
class VentureUI: | |
"""UI for venture strategies and analysis.""" | |
def __init__(self, api_client): | |
self.api_client = api_client | |
def create_interface(self): | |
"""Create Gradio interface.""" | |
with gr.Blocks(title="Venture Strategy Optimizer") as interface: | |
gr.Markdown("# Venture Strategy Optimizer") | |
with gr.Tabs(): | |
# Venture Analysis Tab | |
with gr.Tab("Venture Analysis"): | |
with gr.Row(): | |
with gr.Column(): | |
venture_type = gr.Dropdown( | |
choices=self._get_venture_types(), | |
label="Venture Type" | |
) | |
query = gr.Textbox( | |
lines=3, | |
label="Analysis Query" | |
) | |
analyze_btn = gr.Button("Analyze Venture") | |
with gr.Column(): | |
analysis_output = gr.JSON(label="Analysis Results") | |
metrics_plot = gr.Plot(label="Key Metrics") | |
analyze_btn.click( | |
fn=self._analyze_venture, | |
inputs=[venture_type, query], | |
outputs=[analysis_output, metrics_plot] | |
) | |
# Market Analysis Tab | |
with gr.Tab("Market Analysis"): | |
with gr.Row(): | |
with gr.Column(): | |
segment = gr.Textbox( | |
label="Market Segment" | |
) | |
market_btn = gr.Button("Analyze Market") | |
with gr.Column(): | |
market_output = gr.JSON(label="Market Analysis") | |
market_plot = gr.Plot(label="Market Trends") | |
market_btn.click( | |
fn=self._analyze_market, | |
inputs=[segment], | |
outputs=[market_output, market_plot] | |
) | |
# Portfolio Optimization Tab | |
with gr.Tab("Portfolio Optimization"): | |
with gr.Row(): | |
with gr.Column(): | |
ventures = gr.CheckboxGroup( | |
choices=self._get_venture_types(), | |
label="Select Ventures" | |
) | |
optimize_btn = gr.Button("Optimize Portfolio") | |
with gr.Column(): | |
portfolio_output = gr.JSON(label="Portfolio Strategy") | |
portfolio_plot = gr.Plot(label="Portfolio Allocation") | |
optimize_btn.click( | |
fn=self._optimize_portfolio, | |
inputs=[ventures], | |
outputs=[portfolio_output, portfolio_plot] | |
) | |
# Monetization Strategy Tab | |
with gr.Tab("Monetization Strategy"): | |
with gr.Row(): | |
with gr.Column(): | |
monetization_type = gr.Dropdown( | |
choices=self._get_venture_types(), | |
label="Venture Type" | |
) | |
monetize_btn = gr.Button("Optimize Monetization") | |
with gr.Column(): | |
monetization_output = gr.JSON(label="Monetization Strategy") | |
revenue_plot = gr.Plot(label="Revenue Projections") | |
monetize_btn.click( | |
fn=self._optimize_monetization, | |
inputs=[monetization_type], | |
outputs=[monetization_output, revenue_plot] | |
) | |
# Insights Dashboard Tab | |
with gr.Tab("Insights Dashboard"): | |
with gr.Row(): | |
refresh_btn = gr.Button("Refresh Insights") | |
with gr.Row(): | |
with gr.Column(): | |
market_insights = gr.JSON(label="Market Insights") | |
market_trends = gr.Plot(label="Market Trends") | |
with gr.Column(): | |
portfolio_insights = gr.JSON(label="Portfolio Insights") | |
portfolio_trends = gr.Plot(label="Portfolio Performance") | |
refresh_btn.click( | |
fn=self._refresh_insights, | |
outputs=[ | |
market_insights, market_trends, | |
portfolio_insights, portfolio_trends | |
] | |
) | |
return interface | |
def _get_venture_types(self) -> List[str]: | |
"""Get available venture types.""" | |
try: | |
response = self.api_client.list_strategies() | |
return response.get("strategies", []) | |
except Exception as e: | |
print(f"Error getting venture types: {e}") | |
return [] | |
def _analyze_venture(self, | |
venture_type: str, | |
query: str) -> tuple[Dict[str, Any], go.Figure]: | |
"""Analyze venture opportunity.""" | |
try: | |
# Get analysis | |
response = self.api_client.analyze_venture({ | |
"venture_type": venture_type, | |
"query": query | |
}) | |
result = response.get("result", {}) | |
# Create visualization | |
fig = self._create_venture_plot(result) | |
return result, fig | |
except Exception as e: | |
print(f"Error in venture analysis: {e}") | |
return {"error": str(e)}, go.Figure() | |
def _analyze_market(self, | |
segment: str) -> tuple[Dict[str, Any], go.Figure]: | |
"""Analyze market opportunity.""" | |
try: | |
# Get analysis | |
response = self.api_client.analyze_market({ | |
"segment": segment | |
}) | |
result = response.get("result", {}) | |
# Create visualization | |
fig = self._create_market_plot(result) | |
return result, fig | |
except Exception as e: | |
print(f"Error in market analysis: {e}") | |
return {"error": str(e)}, go.Figure() | |
def _optimize_portfolio(self, | |
ventures: List[str]) -> tuple[Dict[str, Any], go.Figure]: | |
"""Optimize venture portfolio.""" | |
try: | |
# Get optimization | |
response = self.api_client.optimize_portfolio({ | |
"ventures": ventures | |
}) | |
result = response.get("result", {}) | |
# Create visualization | |
fig = self._create_portfolio_plot(result) | |
return result, fig | |
except Exception as e: | |
print(f"Error in portfolio optimization: {e}") | |
return {"error": str(e)}, go.Figure() | |
def _optimize_monetization(self, | |
venture_type: str) -> tuple[Dict[str, Any], go.Figure]: | |
"""Optimize monetization strategy.""" | |
try: | |
# Get optimization | |
response = self.api_client.optimize_monetization({ | |
"venture_type": venture_type | |
}) | |
result = response.get("result", {}) | |
# Create visualization | |
fig = self._create_revenue_plot(result) | |
return result, fig | |
except Exception as e: | |
print(f"Error in monetization optimization: {e}") | |
return {"error": str(e)}, go.Figure() | |
def _refresh_insights(self) -> tuple[Dict[str, Any], go.Figure, | |
Dict[str, Any], go.Figure]: | |
"""Refresh insights dashboard.""" | |
try: | |
# Get insights | |
market_response = self.api_client.get_market_insights() | |
portfolio_response = self.api_client.get_portfolio_insights() | |
market_insights = market_response.get("insights", {}) | |
portfolio_insights = portfolio_response.get("insights", {}) | |
# Create visualizations | |
market_fig = self._create_market_trends_plot(market_insights) | |
portfolio_fig = self._create_portfolio_trends_plot(portfolio_insights) | |
return market_insights, market_fig, portfolio_insights, portfolio_fig | |
except Exception as e: | |
print(f"Error refreshing insights: {e}") | |
return ( | |
{"error": str(e)}, go.Figure(), | |
{"error": str(e)}, go.Figure() | |
) | |
def _create_venture_plot(self, data: Dict[str, Any]) -> go.Figure: | |
"""Create venture analysis visualization.""" | |
try: | |
metrics = data.get("metrics", {}) | |
fig = go.Figure() | |
fig.add_trace(go.Scatterpolar( | |
r=[ | |
metrics.get("market_score", 0), | |
metrics.get("opportunity_score", 0), | |
metrics.get("risk_score", 0), | |
metrics.get("growth_potential", 0), | |
metrics.get("profitability", 0) | |
], | |
theta=[ | |
"Market Score", | |
"Opportunity Score", | |
"Risk Score", | |
"Growth Potential", | |
"Profitability" | |
], | |
fill='toself' | |
)) | |
fig.update_layout( | |
polar=dict( | |
radialaxis=dict( | |
visible=True, | |
range=[0, 1] | |
) | |
), | |
showlegend=False | |
) | |
return fig | |
except Exception as e: | |
print(f"Error creating venture plot: {e}") | |
return go.Figure() | |
def _create_market_plot(self, data: Dict[str, Any]) -> go.Figure: | |
"""Create market analysis visualization.""" | |
try: | |
trends = data.get("trend_analysis", {}) | |
df = pd.DataFrame([ | |
{ | |
"Trend": trend["name"], | |
"Impact": trend["impact"], | |
"Potential": trend["market_potential"], | |
"Risk": trend["risk_level"] | |
} | |
for trend in trends | |
]) | |
fig = px.scatter( | |
df, | |
x="Impact", | |
y="Potential", | |
size="Risk", | |
hover_data=["Trend"], | |
title="Market Trends Analysis" | |
) | |
return fig | |
except Exception as e: | |
print(f"Error creating market plot: {e}") | |
return go.Figure() | |
def _create_portfolio_plot(self, data: Dict[str, Any]) -> go.Figure: | |
"""Create portfolio optimization visualization.""" | |
try: | |
allocation = data.get("allocation", {}) | |
fig = go.Figure(data=[ | |
go.Bar( | |
name=venture, | |
x=["Resources", "Priority", "Risk"], | |
y=[ | |
sum(resources.values()), | |
priority, | |
len(constraints) | |
] | |
) | |
for venture, (resources, priority, constraints) in allocation.items() | |
]) | |
fig.update_layout( | |
barmode='group', | |
title="Portfolio Allocation" | |
) | |
return fig | |
except Exception as e: | |
print(f"Error creating portfolio plot: {e}") | |
return go.Figure() | |
def _create_revenue_plot(self, data: Dict[str, Any]) -> go.Figure: | |
"""Create revenue projection visualization.""" | |
try: | |
projections = data.get("projections", {}) | |
months = list(range(12)) | |
revenue = [ | |
projections.get("monthly_revenue", {}).get(str(m), 0) | |
for m in months | |
] | |
fig = go.Figure() | |
fig.add_trace(go.Scatter( | |
x=months, | |
y=revenue, | |
mode='lines+markers', | |
name='Revenue' | |
)) | |
fig.update_layout( | |
title="Revenue Projections", | |
xaxis_title="Month", | |
yaxis_title="Revenue ($)" | |
) | |
return fig | |
except Exception as e: | |
print(f"Error creating revenue plot: {e}") | |
return go.Figure() | |
def _create_market_trends_plot(self, data: Dict[str, Any]) -> go.Figure: | |
"""Create market trends visualization.""" | |
try: | |
trends = data.get("trend_insights", []) | |
df = pd.DataFrame(trends) | |
fig = px.scatter( | |
df, | |
x="impact", | |
y="potential", | |
size="risk", | |
hover_data=["name"], | |
title="Market Trends Overview" | |
) | |
return fig | |
except Exception as e: | |
print(f"Error creating market trends plot: {e}") | |
return go.Figure() | |
def _create_portfolio_trends_plot(self, data: Dict[str, Any]) -> go.Figure: | |
"""Create portfolio trends visualization.""" | |
try: | |
metrics = data.get("portfolio_metrics", {}) | |
fig = go.Figure() | |
fig.add_trace(go.Indicator( | |
mode="gauge+number", | |
value=metrics.get("total_revenue", 0), | |
title={'text': "Total Revenue ($M)"}, | |
gauge={'axis': {'range': [None, 10]}} | |
)) | |
return fig | |
except Exception as e: | |
print(f"Error creating portfolio trends plot: {e}") | |
return go.Figure() | |