Removed pandas handling from Interpreter and Operators

.github/workflows/testing.yml

@@ -92,13 +92,7 @@ jobs:
         run: poetry run ruff check --output-format=github
       - name: Run type checks
         run: poetry run mypy --show-error-codes --pretty
-      - name: Run tests with pandas backend
-        env:
-          VTL_ENGINE_BACKEND: pandas
-        run: poetry run pytest -n auto --verbose --tb=short --durations=10
-      - name: Run tests with duckdb backend
-        env:
-          VTL_ENGINE_BACKEND: duckdb
+      - name: Run tests
         run: poetry run pytest --cov=vtlengine -n auto --verbose --tb=short --strict-markers --strict-config --durations=10
       - name: Check coverage
         run: poetry run coverage report --fail-under=85

.github/workflows/ubuntu_test_24_04.yml

@@ -91,12 +91,7 @@ jobs:
         env:
           PIP_BREAK_SYSTEM_PACKAGES: "1"
 
-      - name: Run tests (pandas backend)
-        env:
-          VTL_ENGINE_BACKEND: pandas
-        run: pytest --verbose --tb=short --strict-markers --strict-config --durations=10
-
-      - name: Run tests (duckdb backend)
+      - name: Run tests
         env:
           VTL_ENGINE_BACKEND: duckdb
         run: pytest --verbose --tb=short --strict-markers --strict-config --durations=10

docs/duckdb_engine.rst

@@ -74,7 +74,6 @@ materialised in memory:
         data_structures=data_structures,
         datapoints=datapoints,
         output_folder=Path("./vtl-output"),
-        use_duckdb=True,
     )
 
 When no ``output_folder`` is provided, the dataset values returned in ``run_result.data``
@@ -179,7 +178,6 @@ When ``use_duckdb=True`` you may pass S3 URIs as ``datapoints`` and as ``output_
         data_structures=data_structures,
         datapoints="s3://my-bucket/input/DS_1.csv",
         output_folder="s3://my-bucket/output/",
-        use_duckdb=True,
     )
 
 Authentication uses the standard AWS environment variables (``AWS_ACCESS_KEY_ID``,

src/vtlengine/API/_InternalApi.py

@@ -217,7 +217,7 @@ def _load_single_datapoint(
             raise InputValidationException(
                 code="0-1-1-2",
                 input=datapoint,
-                message="S3 URIs are only supported with use_duckdb=True.",
+                message="S3 URIs are not supported in this code path.",
             )
         # Converting to Path object
         try:
@@ -297,7 +297,7 @@ def _load_datapoints_path(
                 raise InputValidationException(
                     code="0-1-1-2",
                     input=datapoint,
-                    message="S3 URIs are only supported with use_duckdb=True.",
+                    message="S3 URIs are not supported in this code path.",
                 )
             if isinstance(datapoint, str) and not _is_url(datapoint):
                 datapoint = Path(datapoint)
@@ -745,7 +745,7 @@ def _check_output_folder(output_folder: Union[str, Path]) -> None:
             raise InputValidationException(
                 code="0-1-1-2",
                 input=output_folder,
-                message="S3 URIs are only supported with use_duckdb=True.",
+                message="S3 URIs are not supported in this code path.",
             )
         try:
             output_folder = Path(output_folder)