advanced-reasoning / reasoning /venture_types.py
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"""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)}