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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() | |