(QA 1.6.0) Fix #585: Remove extra datasets validation

src/vtlengine/API/__init__.py

@@ -25,7 +25,6 @@
 from vtlengine.AST.ASTConstructor import ASTVisitor
 from vtlengine.AST.ASTString import ASTString
 from vtlengine.AST.DAG import DAGAnalyzer
-from vtlengine.AST.DAG._models import DatasetSchedule
 from vtlengine.AST.Grammar.lexer import Lexer
 from vtlengine.AST.Grammar.parser import Parser
 from vtlengine.Exceptions import InputValidationException
@@ -94,14 +93,6 @@ def _extract_input_datasets(script: Union[str, TransformationScheme, Path]) -> L
     return dag_inputs
 
 
-def _validate_extra_datasets(datasets: Dict[str, Any], ds_analysis: DatasetSchedule) -> None:
-    """Raise if data_structures contains datasets not referenced by the script."""
-    script_datasets = set(ds_analysis.global_inputs) | set(ds_analysis.all_outputs)
-    extra_datasets = set(datasets.keys()) - script_datasets
-    if extra_datasets:
-        raise InputValidationException(code="0-1-3-9", datasets=sorted(extra_datasets))
-
-
 def prettify(script: Union[str, TransformationScheme, Path]) -> str:
     """
     Function that prettifies the VTL script given.
@@ -270,10 +261,6 @@ def semantic_analysis(
     # Loading datasets from file/dict/pysdmx objects/URLs
     datasets, scalars = load_datasets(data_structures, sdmx_mappings=mapping_dict)
 
-    # Validate that all provided datasets are required by the script
-    ds_analysis = DAGAnalyzer.ds_structure(ast)
-    _validate_extra_datasets(datasets, ds_analysis)
-
     # Handling of library items
     vd = None
     if value_domains is not None:
@@ -447,9 +434,6 @@ def run(
     # VTL Efficient analysis
     ds_analysis = DAGAnalyzer.ds_structure(ast)
 
-    # Validate that all provided datasets are required by the script
-    _validate_extra_datasets(datasets, ds_analysis)
-
     # Checking the output path to be a Path object to a directory
     if output_folder is not None:
         _check_output_folder(output_folder)

src/vtlengine/Exceptions/messages.py

@@ -224,12 +224,6 @@
         "description": "Raised when URL datapoints are provided but data_structures is not a "
         "file path or URL for fetching the SDMX structure definition.",
     },
-    "0-1-3-9": {
-        "message": "Dataset(s) {datasets} defined in data structures "
-        "but not required by the script.",
-        "description": "Raised when the provided data structures contain datasets "
-        "that are not used as inputs in the VTL script.",
-    },
     # ------------Operators-------------
     # General Semantic errors
     "1-1-1-1": {

tests/API/test_api.py

@@ -2084,33 +2084,3 @@ def test_validate_dataset(ds_input, dp_input, is_valid, message):
     else:
         with pytest.raises(Exception, match=message):
             validate_dataset(ds_data, dp_input)
-
-
-def test_extra_dataset_in_data_structures():
-    """run() and semantic_analysis() should fail when data_structures has unused datasets."""
-    script = "DS_A <- DS_1 * 10;"
-    data_structures = {
-        "datasets": [
-            {
-                "name": "DS_1",
-                "DataStructure": [
-                    {"name": "Id_1", "type": "Integer", "role": "Identifier", "nullable": False},
-                    {"name": "Me_1", "type": "Number", "role": "Measure", "nullable": True},
-                ],
-            },
-            {
-                "name": "DS_2",
-                "DataStructure": [
-                    {"name": "Id_1", "type": "Integer", "role": "Identifier", "nullable": False},
-                    {"name": "Me_1", "type": "Number", "role": "Measure", "nullable": True},
-                ],
-            },
-        ]
-    }
-    datapoints = {"DS_1": pd.DataFrame({"Id_1": [1], "Me_1": [10]})}
-
-    with pytest.raises(InputValidationException, match="0-1-3-9"):
-        semantic_analysis(script=script, data_structures=data_structures)
-
-    with pytest.raises(InputValidationException, match="0-1-3-9"):
-        run(script=script, data_structures=data_structures, datapoints=datapoints)