implement behaviour control by config via setup data path

tests/analysis/test_forecast.py

@@ -1,6 +1,5 @@
 import datetime
 from datetime import datetime as Datetime
-from pathlib import Path
 from unittest.mock import patch
 
 import numpy as np
@@ -431,27 +430,16 @@ def test_export_on_fail():
     assert res.status.description == status.description
 
 
-@patch("delta_barth.analysis.forecast.SALES_BASE_NUM_DATAPOINTS_MONTHS", 1)
 def test_pipeline_sales_forecast_SuccessDbWrite(exmpl_api_sales_prognosis_resp, session):
-    with patch(
-        "delta_barth.analysis.forecast.get_sales_prognosis_data",
-    ) as mock:
-        mock.return_value = exmpl_api_sales_prognosis_resp, STATUS_HANDLER.SUCCESS
-        with patch("delta_barth.analysis.forecast.SESSION", session):
-            result = fc.pipeline_sales_forecast(None)  # type: ignore
-    print(result)
-    assert result.status == STATUS_HANDLER.SUCCESS
-    assert len(result.response.daten) > 0
-
-
-@patch("delta_barth.analysis.forecast.SALES_BASE_NUM_DATAPOINTS_MONTHS", 1)
-def test_pipeline_sales_forecast_FailDbWrite(exmpl_api_sales_prognosis_resp):
-    with patch(
-        "delta_barth.analysis.forecast.get_sales_prognosis_data",
-    ) as mock:
-        mock.return_value = exmpl_api_sales_prognosis_resp, STATUS_HANDLER.SUCCESS
+    with (
+        patch(
+            "delta_barth.analysis.forecast.get_sales_prognosis_data",
+        ) as get_mock,
+        patch("delta_barth.analysis.forecast.SESSION", session) as sess_mock,
+    ):
+        get_mock.return_value = exmpl_api_sales_prognosis_resp, STATUS_HANDLER.SUCCESS
+        sess_mock.cfg.forecast.threshold_month_data_points = 1
         result = fc.pipeline_sales_forecast(None)  # type: ignore
-    print(result)
     assert result.status == STATUS_HANDLER.SUCCESS
     assert len(result.response.daten) > 0
 

tests/conftest.py

@@ -8,6 +8,7 @@ from unittest.mock import patch
 
 import pandas as pd
 import pytest
+import tomli_w
 
 import delta_barth.session
 from delta_barth.api.requests import SalesPrognosisResponse
@@ -42,6 +43,19 @@ def pth_dummy_cfg() -> Path:
     return data_pth
 
 
+@pytest.fixture(scope="function")
+def pth_cfg(pth_dummy_cfg, tmp_path) -> Path:
+    with open(pth_dummy_cfg, "rb") as file:
+        cfg_data = tomllib.load(file)
+
+    target = tmp_path / "dummy_cfg.toml"
+    target.touch()
+    with open(target, "wb") as file:
+        tomli_w.dump(cfg_data, file)
+
+    return target
+
+
 @pytest.fixture(scope="session")
 def sales_data_real() -> pd.DataFrame:
     pwd = Path.cwd()

tests/test_config.py

@@ -1,26 +1,10 @@
 import tomllib
-from pathlib import Path
 
-import pytest
 import tomli_w
 
 from delta_barth import config
 
 
-@pytest.fixture(scope="function")
-def pth_cfg(pth_dummy_cfg, tmp_path) -> Path:
-    with open(pth_dummy_cfg, "rb") as file:
-        cfg_data = tomllib.load(file)
-
-    target = tmp_path / "dummy_cfg.toml"
-    target.touch()
-    with open(target, "wb") as file:
-        tomli_w.dump(cfg_data, file)
-
-    return target
-
-
-@pytest.mark.new
 def test_CfgLoader_Init(pth_cfg):
     loader = config.LazyCfgLoader(pth_cfg)
 
@@ -28,7 +12,6 @@ def test_CfgLoader_Init(pth_cfg):
     assert loader._cfg is None
 
 
-@pytest.mark.new
 def test_CfgLoader_Get(pth_cfg):
     loader = config.LazyCfgLoader(pth_cfg)
 
@@ -37,7 +20,6 @@ def test_CfgLoader_Get(pth_cfg):
     assert parsed_cfg.forecast.threshold_month_data_points == 28
 
 
-@pytest.mark.new
 def test_CfgLoader_Reload(pth_cfg):
     loader = config.LazyCfgLoader(pth_cfg)
 

tests/test_pipelines.py

@@ -45,14 +45,17 @@ def test_write_performance_metrics_FailStartingTime(session):
             )
 
 
-@patch("delta_barth.analysis.forecast.SALES_BASE_NUM_DATAPOINTS_MONTHS", 1)
-def test_sales_prognosis_pipeline(exmpl_api_sales_prognosis_resp, session):
-    with patch(
-        "delta_barth.analysis.forecast.get_sales_prognosis_data",
-    ) as mock:
-        mock.return_value = (exmpl_api_sales_prognosis_resp, STATUS_HANDLER.SUCCESS)
-        with patch("delta_barth.pipelines.SESSION", session):
-            json_export = pl.pipeline_sales_forecast(None, None)
+def test_sales_prognosis_pipeline(exmpl_api_sales_prognosis_resp, session, monkeypatch):
+    with (
+        patch(
+            "delta_barth.analysis.forecast.get_sales_prognosis_data",
+        ) as get_mock,
+        patch("delta_barth.pipelines.SESSION", session),
+        patch("delta_barth.analysis.forecast.SESSION", session) as sess_mock,
+    ):
+        get_mock.return_value = (exmpl_api_sales_prognosis_resp, STATUS_HANDLER.SUCCESS)
+        sess_mock.cfg.forecast.threshold_month_data_points = 1
+        json_export = pl.pipeline_sales_forecast(None, None)
 
     assert isinstance(json_export, str)
     parsed_resp = json.loads(json_export)

tests/test_session.py

@@ -62,6 +62,24 @@ def test_session_setup_db_management(tmp_path):
     assert db_path.exists()
 
 
+def test_session_setup_config(tmp_path, pth_cfg):
+    str_path = str(tmp_path)
+    foldername: str = "cfg_test"
+    target_cfg_dir = tmp_path / foldername
+    session = delta_barth.session.Session(HTTP_BASE_CONTENT_HEADERS, cfg_folder=foldername)
+    session.set_data_path(str_path)
+    cfg_path = session.cfg_path
+    assert cfg_path.parent.exists()
+    assert cfg_path.parent == target_cfg_dir
+    assert not cfg_path.exists()
+    session.setup()
+    cfg_path2 = session.cfg_path
+    assert cfg_path2 == cfg_path
+    assert session._cfg is not None
+    assert cfg_path.exists()
+    assert session.cfg.forecast.threshold_month_data_points == 28
+
+
 @patch("delta_barth.logging.ENABLE_LOGGING", True)
 @patch("delta_barth.logging.LOGGING_TO_FILE", True)
 @patch("delta_barth.logging.LOGGING_TO_STDERR", True)