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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": []
}
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