Files
2026-07-22 12:40:42 +03:00

70 lines
2.3 KiB
Python

import json
from ai import prompts
from cashflow_model import CurrencyConverter, FinancialModel
from engine.forecast import ForecastService
class AssistantError(Exception):
pass
class AssistantService:
def __init__(
self,
model: FinancialModel,
converter: CurrencyConverter | None = None,
display_currency: str | None = None,
):
self.model = model
self.converter = converter or CurrencyConverter(model.exchange_rates)
self.display_currency = display_currency or model.base_currency
def analyze(self, months: int = 12) -> dict:
forecast_service = ForecastService(self.model)
forecast_result = forecast_service.forecast_cashflow(months)
summary = forecast_service.summary(months)
prompt = prompts.format_context(
model_json=json.dumps(self.model.to_dict(), indent=2, ensure_ascii=False),
forecast_json=json.dumps(forecast_result, indent=2, ensure_ascii=False),
months=months,
base_currency=self.model.base_currency,
display_currency=self.display_currency,
)
return {
"prompt": prompt,
"summary": summary,
"forecast": forecast_result,
"ai_response": None,
}
def advice(self, question: str, months: int = 12) -> dict:
forecast_service = ForecastService(self.model)
forecast_result = forecast_service.forecast_cashflow(months)
prompt = prompts.ADVICE_PROMPT.format(
model_json=json.dumps(self.model.to_dict(), indent=2, ensure_ascii=False),
forecast_json=json.dumps(forecast_result, indent=2, ensure_ascii=False),
question=question,
base_currency=self.model.base_currency,
display_currency=self.display_currency,
)
return {
"prompt": prompt,
"ai_response": None,
}
def compare_scenarios(self, scenarios_json: str) -> dict:
prompt = prompts.SCENARIO_COMPARISON_PROMPT.format(
scenarios_json=scenarios_json,
base_currency=self.model.base_currency,
display_currency=self.display_currency,
)
return {
"prompt": prompt,
"ai_response": None,
}