remove sales value from forecast response

src/delta_barth/analysis/forecast.py

@@ -202,6 +202,7 @@ def _process_sales(
     df_cust = df_cust.sort_values(by=DATE_FEAT).reset_index()
 
     # check data availability
+    # TODO rework criteria
     if len(df_cust) < min_num_data_points:
         pipe.fail(STATUS_HANDLER.pipe_states.TOO_FEW_POINTS)
         return pipe
@@ -238,6 +239,7 @@ def _process_sales(
     reg.fit(X_train, y_train, eval_set=[(X_train, y_train), (X_test, y_test)], verbose=100)
 
     test.loc[:, "vorhersage"] = reg.predict(X_test)
+    test = test.drop(SALES_FEAT, axis=1)
     test = test.reset_index(drop=True)
 
     pipe.success(test, STATUS_HANDLER.SUCCESS)
@@ -320,3 +322,12 @@ def pipeline_sales(
     assert pipe.results is not None, "needed export response not set in pipeline"
 
     return pipe.results
+
+
+def pipeline_sales_dummy(
+    session: Session,
+    company_id: int | None = None,
+    start_date: Datetime | None = None,
+) -> SalesPrognosisResultsExport:
+    """prototype dummy function for tests by DelBar"""
+    ...

tests/analysis/test_forecast.py

@@ -225,8 +225,18 @@ def test_postprocess_sales_FailValidation(
     assert "ValidationError" in pipe.status.description
 
 
+def test_export_on_fail():
+    status = STATUS_HANDLER.pipe_states.TOO_FEW_POINTS
+    res = fc._export_on_fail(status)
+    assert res.response is not None
+    assert len(res.response.daten) == 0
+    assert res.status is not None
+    assert res.status.code == status.code
+    assert res.status.description == status.description
+
+
 def test_pipeline_sales_prognosis(exmpl_api_sales_prognosis_resp):
-    def mock_request(*args, **kwargs):
+    def mock_request(*args, **kwargs):  # pragma: no cover
         return exmpl_api_sales_prognosis_resp, STATUS_HANDLER.SUCCESS
 
     with patch(