Spaces:
Runtime error
Runtime error
File size: 11,839 Bytes
dcb2a99 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 |
"""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)}
|