prepare parsing for new pipeline format

src/delta_barth/api/requests.py

@@ -8,19 +8,21 @@ from pydantic import BaseModel, PositiveInt, SkipValidation
 
 from delta_barth.api.common import combine_route
 from delta_barth.errors import STATUS_HANDLER
-from delta_barth.types import DelBarApiError, Status
+from delta_barth.types import DelBarApiError, ExportResponse, ResponseType, Status
 
 if TYPE_CHECKING:
     from delta_barth.api.common import Session
+    from delta_barth.types import PipeResult
 
 
 # ** sales data
+# ** import
 class SalesPrognosisRequestP(BaseModel):
     FirmaId: SkipValidation[int | None]
     BuchungsDatum: SkipValidation[Datetime | None]
 
 
-class SalesPrognosisResponseEntry(BaseModel):
+class SalesPrognosisResponseEntry(ResponseType):
     artikelId: PositiveInt
     firmaId: PositiveInt
     betrag: float  # negative values are filtered out later
@@ -28,10 +30,27 @@ class SalesPrognosisResponseEntry(BaseModel):
     buchungsDatum: Datetime
 
 
-class SalesPrognosisResponse(BaseModel):
+class SalesPrognosisResponse(ResponseType):
     daten: tuple[SalesPrognosisResponseEntry, ...]
 
 
+# ** export
+class SalesPrognosisResult(BaseModel):
+    jahr: PositiveInt
+    monat: PositiveInt
+    betrag: float
+    vorhersage: float
+
+
+class SalesPrognosisResults(BaseModel):
+    daten: tuple[SalesPrognosisResult, ...]
+
+
+class SalesPrognosisResultsExport(ExportResponse):
+    response: SalesPrognosisResults
+    status: Status
+
+
 def get_sales_prognosis_data(
     session: Session,
     company_id: int | None = None,
@@ -62,3 +81,6 @@ def get_sales_prognosis_data(
         status = STATUS_HANDLER.api_error(err)
 
     return response, status
+
+
+def parse_sales_prognosis_response(pipe: PipeResult) -> ...: ...