"""Additional venture types for business optimization.""" import logging from typing import Dict, Any, List, Optional, Set, Union, Type, Tuple import json from dataclasses import dataclass, field from enum import Enum from datetime import datetime import numpy as np from collections import defaultdict from .base import ReasoningStrategy class AIInfrastructureStrategy(ReasoningStrategy): """ AI infrastructure venture strategy that: 1. Identifies infrastructure needs 2. Develops cloud solutions 3. Optimizes compute resources 4. Manages scalability 5. Ensures reliability """ async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Generate AI infrastructure strategy.""" try: # Market analysis market = await self._analyze_market(query, context) # Infrastructure design design = await self._design_infrastructure(market, context) # Optimization strategy optimization = await self._create_optimization_strategy(design, context) # Scaling plan scaling = await self._plan_scaling(optimization, context) # Revenue projections projections = await self._project_revenue(scaling, context) return { "success": projections["annual_revenue"] >= 1_000_000, "market": market, "design": design, "optimization": optimization, "scaling": scaling, "projections": projections } except Exception as e: logging.error(f"Error in AI infrastructure strategy: {str(e)}") return {"success": False, "error": str(e)} class AIConsultingStrategy(ReasoningStrategy): """ AI consulting venture strategy that: 1. Identifies consulting opportunities 2. Develops service offerings 3. Creates delivery frameworks 4. Manages client relationships 5. Scales operations """ async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Generate AI consulting strategy.""" try: # Market analysis market = await self._analyze_consulting_market(query, context) # Service design services = await self._design_services(market, context) # Delivery framework framework = await self._create_delivery_framework(services, context) # Growth strategy growth = await self._plan_growth(framework, context) # Revenue projections projections = await self._project_consulting_revenue(growth, context) return { "success": projections["annual_revenue"] >= 1_000_000, "market": market, "services": services, "framework": framework, "growth": growth, "projections": projections } except Exception as e: logging.error(f"Error in AI consulting strategy: {str(e)}") return {"success": False, "error": str(e)} class AIProductStrategy(ReasoningStrategy): """ AI product venture strategy that: 1. Identifies product opportunities 2. Develops product roadmap 3. Creates go-to-market strategy 4. Manages product lifecycle 5. Scales distribution """ async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Generate AI product strategy.""" try: # Market analysis market = await self._analyze_product_market(query, context) # Product development product = await self._develop_product_strategy(market, context) # Go-to-market gtm = await self._create_gtm_strategy(product, context) # Scale strategy scale = await self._plan_product_scaling(gtm, context) # Revenue projections projections = await self._project_product_revenue(scale, context) return { "success": projections["annual_revenue"] >= 1_000_000, "market": market, "product": product, "gtm": gtm, "scale": scale, "projections": projections } except Exception as e: logging.error(f"Error in AI product strategy: {str(e)}") return {"success": False, "error": str(e)} class FinTechStrategy(ReasoningStrategy): """ FinTech venture strategy that: 1. Identifies fintech opportunities 2. Develops financial products 3. Ensures compliance 4. Manages risk 5. Scales operations """ async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Generate FinTech strategy.""" try: # Market analysis market = await self._analyze_fintech_market(query, context) # Product development product = await self._develop_fintech_product(market, context) # Compliance strategy compliance = await self._ensure_compliance(product, context) # Risk management risk = await self._manage_risk(compliance, context) # Scale strategy scale = await self._plan_fintech_scaling(risk, context) return { "success": scale["annual_revenue"] >= 1_000_000, "market": market, "product": product, "compliance": compliance, "risk": risk, "scale": scale } except Exception as e: logging.error(f"Error in FinTech strategy: {str(e)}") return {"success": False, "error": str(e)} class HealthTechStrategy(ReasoningStrategy): """ HealthTech venture strategy that: 1. Identifies healthcare opportunities 2. Develops health solutions 3. Ensures compliance 4. Manages patient data 5. Scales operations """ async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Generate HealthTech strategy.""" try: # Market analysis market = await self._analyze_healthtech_market(query, context) # Solution development solution = await self._develop_health_solution(market, context) # Compliance strategy compliance = await self._ensure_health_compliance(solution, context) # Data strategy data = await self._manage_health_data(compliance, context) # Scale strategy scale = await self._plan_healthtech_scaling(data, context) return { "success": scale["annual_revenue"] >= 1_000_000, "market": market, "solution": solution, "compliance": compliance, "data": data, "scale": scale } except Exception as e: logging.error(f"Error in HealthTech strategy: {str(e)}") return {"success": False, "error": str(e)} class EdTechStrategy(ReasoningStrategy): """ EdTech venture strategy that: 1. Identifies education opportunities 2. Develops learning solutions 3. Creates content strategy 4. Manages user engagement 5. Scales platform """ async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Generate EdTech strategy.""" try: # Market analysis market = await self._analyze_edtech_market(query, context) # Solution development solution = await self._develop_learning_solution(market, context) # Content strategy content = await self._create_content_strategy(solution, context) # Engagement strategy engagement = await self._manage_engagement(content, context) # Scale strategy scale = await self._plan_edtech_scaling(engagement, context) return { "success": scale["annual_revenue"] >= 1_000_000, "market": market, "solution": solution, "content": content, "engagement": engagement, "scale": scale } except Exception as e: logging.error(f"Error in EdTech strategy: {str(e)}") return {"success": False, "error": str(e)} class BlockchainStrategy(ReasoningStrategy): """ Blockchain venture strategy that: 1. Identifies blockchain opportunities 2. Develops blockchain solutions 3. Ensures security 4. Manages tokenomics 5. Scales network """ async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Generate blockchain strategy.""" try: # Market analysis market = await self._analyze_blockchain_market(query, context) # Solution development solution = await self._develop_blockchain_solution(market, context) # Security strategy security = await self._ensure_blockchain_security(solution, context) # Tokenomics tokenomics = await self._design_tokenomics(security, context) # Scale strategy scale = await self._plan_blockchain_scaling(tokenomics, context) return { "success": scale["annual_revenue"] >= 1_000_000, "market": market, "solution": solution, "security": security, "tokenomics": tokenomics, "scale": scale } except Exception as e: logging.error(f"Error in blockchain strategy: {str(e)}") return {"success": False, "error": str(e)} class AIMarketplaceStrategy(ReasoningStrategy): """ AI marketplace venture strategy that: 1. Creates AI model marketplace 2. Manages model deployment 3. Handles transactions 4. Ensures quality 5. Scales platform """ async def reason(self, query: str, context: Dict[str, Any]) -> Dict[str, Any]: """Generate AI marketplace strategy.""" try: # Market analysis market = await self._analyze_ai_marketplace(query, context) # Platform development platform = await self._develop_marketplace_platform(market, context) # Quality strategy quality = await self._ensure_model_quality(platform, context) # Transaction system transactions = await self._design_transaction_system(quality, context) # Scale strategy scale = await self._plan_marketplace_scaling(transactions, context) return { "success": scale["annual_revenue"] >= 1_000_000, "market": market, "platform": platform, "quality": quality, "transactions": transactions, "scale": scale } except Exception as e: logging.error(f"Error in AI marketplace strategy: {str(e)}") return {"success": False, "error": str(e)}