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| from helpers.f5_model import f5_model | |
| from pydantic import BaseModel, Field | |
| from typing import List | |
| class StackComponent(BaseModel): | |
| service: str | |
| description: str | |
| class SoluctionStack(BaseModel): | |
| computer_processing: List[StackComponent] | |
| data_management_storage: List[StackComponent] | |
| network_security: List[StackComponent] | |
| app_integration_management: List[StackComponent] | |
| async def generate_soluction_stack(data): | |
| prompt = ( | |
| f"Requirements: {data.requirements}\n" | |
| f"Additional Features: {data.additional_feature} \n" | |
| "Generate a comprehensive cloud solution stack with the following components:\n" | |
| "1. Computer Processing\n" | |
| "2. Data Management and Storage\n" | |
| "3. Network Security\n" | |
| "4. Application Integration and Management" | |
| ) | |
| response = await f5_model.generate_response(prompt) | |
| # Parse the response into SoluctionStack structure | |
| stack_dict = parse_stack_response(response) | |
| return SoluctionStack(**stack_dict) | |
| def parse_stack_response(response: str) -> dict: | |
| # Add parsing logic here to convert F5 model output to SoluctionStack format | |
| # This is a placeholder implementation | |
| return { | |
| "computer_processing": [], | |
| "data_management_storage": [], | |
| "network_security": [], | |
| "app_integration_management": [] | |
| } | |