T1: restructure to domain/application/infrastructure + schema version 1

- Move cashflow_model/ -> domain/ - Move engine/ -> application/ - Move cli/, sync/, ai/ -> infrastructure/ - Update all imports across codebase and tests - Add version=1 to FinancialModel.to_dict() with migration hook in from_dict - Update pyproject.toml: cf entry point and packages.find Tests: 63/63 pass.
2026-10-08 16:34:10 +03:00
parent 12611edd6f
commit feb77ef217
32 changed files with 1945 additions and 109 deletions
@@ -0,0 +1,69 @@
+import json
+
+from infrastructure.ai import prompts
+from domain import CurrencyConverter, FinancialModel
+from application.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,
+        }