feat: enhance DataFrame Operations component with contains filter and modern UI (#8838)
* feat: enhance DataFrame Operations component with contains filter and modern UI - Add "contains" filter operator for partial string matching in DataFrame filters - Update UI to use SortableListInput with icons for consistent modern design - Add 7 filter operators: equals, not equals, contains, starts with, ends with, greater than, less than - Fix deselection handling to prevent "unhashable type: list" errors - Improve dynamic field visibility when operations are deselected - Add comprehensive test suite with 25 tests covering all operations and edge cases - Update placeholder text from "Select DataFrame Operation" to "Select Operation" 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * [autofix.ci] apply automated fixes * Update dataframe_operations.py --------- Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
This commit is contained in:
Rodrigo Nader
GitHub
parent
f6a9e8fad4
commit
e0400f29eb
2 changed files with 504 additions and 79 deletions
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@ -1,4 +1,7 @@
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import pandas as pd
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from langflow.custom.custom_component.component import Component
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from langflow.inputs import SortableListInput
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from langflow.io import (
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BoolInput,
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DataFrameInput,
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@ -39,12 +42,25 @@ class DataFrameOperationsComponent(Component):
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info="The input DataFrame to operate on.",
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required=True,
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),
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DropdownInput(
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SortableListInput(
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name="operation",
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display_name="Operation",
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options=OPERATION_CHOICES,
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placeholder="Select Operation",
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info="Select the DataFrame operation to perform.",
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options=[
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{"name": "Add Column", "icon": "plus"},
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{"name": "Drop Column", "icon": "minus"},
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{"name": "Filter", "icon": "filter"},
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{"name": "Head", "icon": "arrow-up"},
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{"name": "Rename Column", "icon": "pencil"},
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{"name": "Replace Value", "icon": "replace"},
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{"name": "Select Columns", "icon": "columns"},
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{"name": "Sort", "icon": "arrow-up-down"},
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{"name": "Tail", "icon": "arrow-down"},
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{"name": "Drop Duplicates", "icon": "copy-x"},
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],
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real_time_refresh=True,
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limit=1,
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),
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StrInput(
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name="column_name",
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@ -60,6 +76,16 @@ class DataFrameOperationsComponent(Component):
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dynamic=True,
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show=False,
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),
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DropdownInput(
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name="filter_operator",
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display_name="Filter Operator",
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options=["equals", "not equals", "contains", "starts with", "ends with", "greater than", "less than"],
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value="equals",
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info="The operator to apply for filtering rows.",
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advanced=False,
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dynamic=True,
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show=False,
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),
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BoolInput(
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name="ascending",
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display_name="Sort Ascending",
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@ -126,6 +152,7 @@ class DataFrameOperationsComponent(Component):
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dynamic_fields = [
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"column_name",
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"filter_value",
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"filter_operator",
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"ascending",
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"new_column_name",
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"new_column_value",
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@ -138,36 +165,57 @@ class DataFrameOperationsComponent(Component):
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build_config[field]["show"] = False
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if field_name == "operation":
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if field_value == "Filter":
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# Handle SortableListInput format
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if isinstance(field_value, list):
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operation_name = field_value[0].get("name", "") if field_value else ""
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else:
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operation_name = field_value or ""
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# If no operation selected, all dynamic fields stay hidden (already set to False above)
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if not operation_name:
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return build_config
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if operation_name == "Filter":
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build_config["column_name"]["show"] = True
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build_config["filter_value"]["show"] = True
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elif field_value == "Sort":
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build_config["filter_operator"]["show"] = True
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elif operation_name == "Sort":
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build_config["column_name"]["show"] = True
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build_config["ascending"]["show"] = True
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elif field_value == "Drop Column":
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elif operation_name == "Drop Column":
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build_config["column_name"]["show"] = True
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elif field_value == "Rename Column":
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elif operation_name == "Rename Column":
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build_config["column_name"]["show"] = True
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build_config["new_column_name"]["show"] = True
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elif field_value == "Add Column":
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elif operation_name == "Add Column":
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build_config["new_column_name"]["show"] = True
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build_config["new_column_value"]["show"] = True
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elif field_value == "Select Columns":
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elif operation_name == "Select Columns":
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build_config["columns_to_select"]["show"] = True
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elif field_value in {"Head", "Tail"}:
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elif operation_name in {"Head", "Tail"}:
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build_config["num_rows"]["show"] = True
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elif field_value == "Replace Value":
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elif operation_name == "Replace Value":
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build_config["column_name"]["show"] = True
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build_config["replace_value"]["show"] = True
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build_config["replacement_value"]["show"] = True
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elif field_value == "Drop Duplicates":
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elif operation_name == "Drop Duplicates":
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build_config["column_name"]["show"] = True
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return build_config
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def perform_operation(self) -> DataFrame:
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df_copy = self.df.copy()
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op = self.operation
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# Handle SortableListInput format for operation
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operation_input = getattr(self, "operation", [])
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if isinstance(operation_input, list) and len(operation_input) > 0:
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op = operation_input[0].get("name", "")
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else:
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op = ""
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# If no operation selected, return original DataFrame
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if not op:
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return df_copy
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if op == "Filter":
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return self.filter_rows_by_value(df_copy)
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@ -194,7 +242,42 @@ class DataFrameOperationsComponent(Component):
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raise ValueError(msg)
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def filter_rows_by_value(self, df: DataFrame) -> DataFrame:
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return DataFrame(df[df[self.column_name] == self.filter_value])
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column = df[self.column_name]
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filter_value = self.filter_value
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# Handle regular DropdownInput format (just a string value)
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operator = getattr(self, "filter_operator", "equals") # Default to equals for backward compatibility
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if operator == "equals":
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mask = column == filter_value
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elif operator == "not equals":
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mask = column != filter_value
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elif operator == "contains":
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mask = column.astype(str).str.contains(str(filter_value), na=False)
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elif operator == "starts with":
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mask = column.astype(str).str.startswith(str(filter_value), na=False)
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elif operator == "ends with":
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mask = column.astype(str).str.endswith(str(filter_value), na=False)
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elif operator == "greater than":
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try:
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# Try to convert filter_value to numeric for comparison
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numeric_value = pd.to_numeric(filter_value)
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mask = column > numeric_value
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except (ValueError, TypeError):
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# If conversion fails, compare as strings
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mask = column.astype(str) > str(filter_value)
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elif operator == "less than":
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try:
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# Try to convert filter_value to numeric for comparison
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numeric_value = pd.to_numeric(filter_value)
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mask = column < numeric_value
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except (ValueError, TypeError):
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# If conversion fails, compare as strings
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mask = column.astype(str) < str(filter_value)
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else:
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mask = column == filter_value # Fallback to equals
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return DataFrame(df[mask])
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def sort_by_column(self, df: DataFrame) -> DataFrame:
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return DataFrame(df.sort_values(by=self.column_name, ascending=self.ascending))
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@ -1,84 +1,426 @@
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import pandas as pd
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import pytest
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from langflow.components.processing.dataframe_operations import DataFrameOperationsComponent
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from langflow.schema.dataframe import DataFrame
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@pytest.fixture
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def sample_dataframe():
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data = {"A": [1, 2, 3, 4, 5], "B": [5, 4, 3, 2, 1], "C": ["a", "b", "c", "d", "e"]}
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return pd.DataFrame(data)
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"""Create a comprehensive sample DataFrame for testing."""
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data = {
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"name": ["John Doe", "Jane Smith", "Bob Johnson", "Alice Brown", "Charlie Wilson"],
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"email": ["john@gmail.com", "jane@yahoo.com", "bob@gmail.com", "alice@hotmail.com", "charlie@outlook.com"],
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"age": [25, 30, 35, 28, 42],
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"salary": [50000, 60000, 70000, 55000, 80000],
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"department": ["IT", "HR", "Finance", "IT", "Marketing"],
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}
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return DataFrame(pd.DataFrame(data))
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@pytest.mark.parametrize(
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("operation", "expected_columns", "expected_values"),
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[
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("Add Column", ["A", "B", "C", "D"], [1, 5, "a", 10]),
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("Drop Column", ["A", "C"], None),
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("Filter", ["A", "B", "C"], [3, 3, "c"]),
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("Sort", ["A", "B", "C"], [5, 1, "e"]),
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("Rename Column", ["Z", "B", "C"], None),
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("Select Columns", ["A", "C"], None),
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("Head", ["A", "B", "C"], [1, 5, "a"]),
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("Tail", ["A", "B", "C"], [5, 1, "e"]),
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("Replace Value", ["A", "B", "C"], [1, 5, "z"]),
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],
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)
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def test_operations(sample_dataframe, operation, expected_columns, expected_values):
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component = DataFrameOperationsComponent()
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component.df = sample_dataframe
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component.operation = operation
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@pytest.fixture
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def component():
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"""Create a DataFrameOperationsComponent instance."""
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return DataFrameOperationsComponent()
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if operation == "Add Column":
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component.new_column_name = "D"
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component.new_column_value = 10
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elif operation == "Drop Column":
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component.column_name = "B"
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elif operation == "Filter":
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component.column_name = "A"
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component.filter_value = 3
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elif operation == "Sort":
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component.column_name = "A"
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class TestBasicOperations:
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"""Test basic DataFrame operations with new SortableListInput format."""
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def test_add_column(self, component, sample_dataframe):
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"""Test adding a new column to the DataFrame."""
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component.df = sample_dataframe
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component.operation = [{"name": "Add Column", "icon": "plus"}]
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component.new_column_name = "bonus"
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component.new_column_value = 5000
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result = component.perform_operation()
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assert "bonus" in result.columns
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assert len(result.columns) == 6 # Original 5 + 1 new
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assert all(result["bonus"] == 5000) # All values should be 5000
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def test_drop_column(self, component, sample_dataframe):
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"""Test dropping a column from the DataFrame."""
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component.df = sample_dataframe
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component.operation = [{"name": "Drop Column", "icon": "minus"}]
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component.column_name = "salary"
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result = component.perform_operation()
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assert "salary" not in result.columns
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assert len(result.columns) == 4 # Original 5 - 1 dropped
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def test_sort_ascending(self, component, sample_dataframe):
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"""Test sorting DataFrame in ascending order."""
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component.df = sample_dataframe
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component.operation = [{"name": "Sort", "icon": "arrow-up-down"}]
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component.column_name = "age"
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component.ascending = True
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result = component.perform_operation()
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ages = result["age"].tolist()
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assert ages == sorted(ages) # Should be sorted ascending
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assert ages[0] == 25 # Youngest first
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def test_sort_descending(self, component, sample_dataframe):
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"""Test sorting DataFrame in descending order."""
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component.df = sample_dataframe
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component.operation = [{"name": "Sort", "icon": "arrow-up-down"}]
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component.column_name = "salary"
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component.ascending = False
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elif operation == "Rename Column":
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component.column_name = "A"
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component.new_column_name = "Z"
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elif operation == "Select Columns":
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component.columns_to_select = ["A", "C"]
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elif operation in {"Head", "Tail"}:
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component.num_rows = 1
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elif operation == "Replace Value":
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component.column_name = "C"
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component.replace_value = "a"
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component.replacement_value = "z"
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result = component.perform_operation()
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result = component.perform_operation()
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assert list(result.columns) == expected_columns
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if expected_values is not None and isinstance(expected_values, list):
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assert list(result.iloc[0]) == expected_values
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salaries = result["salary"].tolist()
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assert salaries == sorted(salaries, reverse=True) # Should be sorted descending
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assert salaries[0] == 80000 # Highest first
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def test_head_operation(self, component, sample_dataframe):
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"""Test getting first N rows."""
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component.df = sample_dataframe
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component.operation = [{"name": "Head", "icon": "arrow-up"}]
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component.num_rows = 2
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result = component.perform_operation()
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assert len(result) == 2
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assert result.iloc[0]["name"] == "John Doe" # First row
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def test_tail_operation(self, component, sample_dataframe):
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"""Test getting last N rows."""
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component.df = sample_dataframe
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component.operation = [{"name": "Tail", "icon": "arrow-down"}]
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component.num_rows = 2
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result = component.perform_operation()
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assert len(result) == 2
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assert result.iloc[-1]["name"] == "Charlie Wilson" # Last row
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def test_rename_column(self, component, sample_dataframe):
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"""Test renaming a column."""
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component.df = sample_dataframe
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component.operation = [{"name": "Rename Column", "icon": "pencil"}]
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component.column_name = "name"
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component.new_column_name = "full_name"
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result = component.perform_operation()
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assert "full_name" in result.columns
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assert "name" not in result.columns
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assert result.iloc[0]["full_name"] == "John Doe"
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def test_empty_dataframe():
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class TestFilterOperations:
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"""Test all filter operations with different operators."""
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def test_filter_equals(self, component, sample_dataframe):
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"""Test exact match filtering."""
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component.df = sample_dataframe
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component.operation = [{"name": "Filter", "icon": "filter"}]
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component.column_name = "department"
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component.filter_operator = "equals"
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component.filter_value = "IT"
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result = component.perform_operation()
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assert len(result) == 2 # John and Alice work in IT
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assert all(result["department"] == "IT")
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def test_filter_not_equals(self, component, sample_dataframe):
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"""Test exclusion filtering."""
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component.df = sample_dataframe
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component.operation = [{"name": "Filter", "icon": "filter"}]
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component.column_name = "department"
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component.filter_operator = "not equals"
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component.filter_value = "IT"
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result = component.perform_operation()
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assert len(result) == 3 # Jane, Bob, Charlie not in IT
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assert all(result["department"] != "IT")
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def test_filter_contains(self, component, sample_dataframe):
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"""Test partial string matching - THE MAIN FEATURE WE ADDED!"""
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component.df = sample_dataframe
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component.operation = [{"name": "Filter", "icon": "filter"}]
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component.column_name = "email"
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component.filter_operator = "contains"
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component.filter_value = "gmail"
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result = component.perform_operation()
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assert len(result) == 2 # John and Bob have gmail
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assert all("gmail" in email for email in result["email"])
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def test_filter_starts_with(self, component, sample_dataframe):
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"""Test prefix matching."""
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component.df = sample_dataframe
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component.operation = [{"name": "Filter", "icon": "filter"}]
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component.column_name = "name"
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component.filter_operator = "starts with"
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component.filter_value = "J"
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result = component.perform_operation()
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assert len(result) == 2 # John and Jane start with J
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assert all(name.startswith("J") for name in result["name"])
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def test_filter_ends_with(self, component, sample_dataframe):
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"""Test suffix matching."""
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component.df = sample_dataframe
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component.operation = [{"name": "Filter", "icon": "filter"}]
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component.column_name = "email"
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component.filter_operator = "ends with"
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component.filter_value = ".com"
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result = component.perform_operation()
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assert len(result) == 5 # All emails end with .com
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assert all(email.endswith(".com") for email in result["email"])
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def test_filter_greater_than(self, component, sample_dataframe):
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"""Test numeric greater than comparison."""
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component.df = sample_dataframe
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component.operation = [{"name": "Filter", "icon": "filter"}]
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component.column_name = "age"
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component.filter_operator = "greater than"
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component.filter_value = "30"
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result = component.perform_operation()
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assert len(result) == 2 # Bob(35) and Charlie(42)
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assert all(age > 30 for age in result["age"])
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def test_filter_less_than(self, component, sample_dataframe):
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"""Test numeric less than comparison."""
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component.df = sample_dataframe
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component.operation = [{"name": "Filter", "icon": "filter"}]
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component.column_name = "salary"
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component.filter_operator = "less than"
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component.filter_value = "60000"
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result = component.perform_operation()
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assert len(result) == 2 # John(50k) and Alice(55k)
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assert all(salary < 60000 for salary in result["salary"])
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class TestEdgeCases:
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"""Test edge cases and error conditions."""
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def test_empty_selection(self, component, sample_dataframe):
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"""Test when no operation is selected (deselection)."""
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component.df = sample_dataframe
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component.operation = [] # Empty selection
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||||
|
||||
result = component.perform_operation()
|
||||
|
||||
# Should return original DataFrame unchanged
|
||||
assert len(result) == len(sample_dataframe)
|
||||
assert list(result.columns) == list(sample_dataframe.columns)
|
||||
|
||||
def test_invalid_operation_format(self, component, sample_dataframe):
|
||||
"""Test with invalid operation format."""
|
||||
component.df = sample_dataframe
|
||||
component.operation = "Invalid String" # Not list format
|
||||
|
||||
result = component.perform_operation()
|
||||
|
||||
# Should return original DataFrame
|
||||
assert len(result) == len(sample_dataframe)
|
||||
|
||||
def test_empty_dataframe(self, component):
|
||||
"""Test operations on empty DataFrame."""
|
||||
component.df = DataFrame(pd.DataFrame())
|
||||
component.operation = [{"name": "Head", "icon": "arrow-up"}]
|
||||
component.num_rows = 3
|
||||
|
||||
result = component.perform_operation()
|
||||
|
||||
assert result.empty
|
||||
|
||||
def test_non_existent_column(self, component, sample_dataframe):
|
||||
"""Test operation on non-existent column."""
|
||||
component.df = sample_dataframe
|
||||
component.operation = [{"name": "Drop Column", "icon": "minus"}]
|
||||
component.column_name = "non_existent_column"
|
||||
|
||||
with pytest.raises(KeyError):
|
||||
component.perform_operation()
|
||||
|
||||
def test_filter_no_matches(self, component, sample_dataframe):
|
||||
"""Test filter that returns no matches."""
|
||||
component.df = sample_dataframe
|
||||
component.operation = [{"name": "Filter", "icon": "filter"}]
|
||||
component.column_name = "department"
|
||||
component.filter_operator = "equals"
|
||||
component.filter_value = "NonExistentDepartment"
|
||||
|
||||
result = component.perform_operation()
|
||||
|
||||
assert len(result) == 0 # No matches
|
||||
assert list(result.columns) == list(sample_dataframe.columns) # Columns preserved
|
||||
|
||||
|
||||
class TestDynamicUI:
|
||||
"""Test dynamic UI behavior with update_build_config."""
|
||||
|
||||
def test_filter_fields_show(self, component):
|
||||
"""Test that filter fields show when Filter is selected."""
|
||||
build_config = {
|
||||
"column_name": {"show": False},
|
||||
"filter_value": {"show": False},
|
||||
"filter_operator": {"show": False},
|
||||
"ascending": {"show": False},
|
||||
"new_column_name": {"show": False},
|
||||
"new_column_value": {"show": False},
|
||||
"columns_to_select": {"show": False},
|
||||
"num_rows": {"show": False},
|
||||
"replace_value": {"show": False},
|
||||
"replacement_value": {"show": False},
|
||||
}
|
||||
|
||||
# Select Filter operation
|
||||
updated_config = component.update_build_config(
|
||||
build_config, [{"name": "Filter", "icon": "filter"}], "operation"
|
||||
)
|
||||
|
||||
assert updated_config["column_name"]["show"] is True
|
||||
assert updated_config["filter_value"]["show"] is True
|
||||
assert updated_config["filter_operator"]["show"] is True
|
||||
assert updated_config["ascending"]["show"] is False # Not for filter
|
||||
|
||||
def test_sort_fields_show(self, component):
|
||||
"""Test that sort fields show when Sort is selected."""
|
||||
build_config = {
|
||||
"column_name": {"show": False},
|
||||
"filter_value": {"show": False},
|
||||
"filter_operator": {"show": False},
|
||||
"ascending": {"show": False},
|
||||
"new_column_name": {"show": False},
|
||||
"new_column_value": {"show": False},
|
||||
"columns_to_select": {"show": False},
|
||||
"num_rows": {"show": False},
|
||||
"replace_value": {"show": False},
|
||||
"replacement_value": {"show": False},
|
||||
}
|
||||
|
||||
# Select Sort operation
|
||||
updated_config = component.update_build_config(
|
||||
build_config, [{"name": "Sort", "icon": "arrow-up-down"}], "operation"
|
||||
)
|
||||
|
||||
assert updated_config["column_name"]["show"] is True
|
||||
assert updated_config["ascending"]["show"] is True
|
||||
assert updated_config["filter_value"]["show"] is False # Not for sort
|
||||
assert updated_config["filter_operator"]["show"] is False # Not for sort
|
||||
|
||||
def test_empty_selection_hides_fields(self, component):
|
||||
"""Test that all fields hide when operation is deselected."""
|
||||
build_config = {
|
||||
"column_name": {"show": True},
|
||||
"filter_value": {"show": True},
|
||||
"filter_operator": {"show": True},
|
||||
"ascending": {"show": True},
|
||||
"new_column_name": {"show": True},
|
||||
"new_column_value": {"show": True},
|
||||
"columns_to_select": {"show": True},
|
||||
"num_rows": {"show": True},
|
||||
"replace_value": {"show": True},
|
||||
"replacement_value": {"show": True},
|
||||
}
|
||||
|
||||
# Deselect operation (empty list)
|
||||
updated_config = component.update_build_config(
|
||||
build_config,
|
||||
[], # Empty selection
|
||||
"operation",
|
||||
)
|
||||
|
||||
# All fields should be hidden
|
||||
assert updated_config["column_name"]["show"] is False
|
||||
assert updated_config["filter_value"]["show"] is False
|
||||
assert updated_config["filter_operator"]["show"] is False
|
||||
assert updated_config["ascending"]["show"] is False
|
||||
assert updated_config["new_column_name"]["show"] is False
|
||||
assert updated_config["new_column_value"]["show"] is False
|
||||
assert updated_config["columns_to_select"]["show"] is False
|
||||
assert updated_config["num_rows"]["show"] is False
|
||||
assert updated_config["replace_value"]["show"] is False
|
||||
assert updated_config["replacement_value"]["show"] is False
|
||||
|
||||
|
||||
class TestDataTypes:
|
||||
"""Test different data types and conversions."""
|
||||
|
||||
def test_numeric_string_conversion(self, component):
|
||||
"""Test that string numbers are properly converted for comparison."""
|
||||
data = pd.DataFrame({"values": [10, 20, 30, 40, 50], "names": ["a", "b", "c", "d", "e"]})
|
||||
|
||||
component.df = DataFrame(data)
|
||||
component.operation = [{"name": "Filter", "icon": "filter"}]
|
||||
component.column_name = "values"
|
||||
component.filter_operator = "greater than"
|
||||
component.filter_value = "25" # String input
|
||||
|
||||
result = component.perform_operation()
|
||||
|
||||
assert len(result) == 3 # 30, 40, 50 are > 25
|
||||
assert all(val > 25 for val in result["values"])
|
||||
|
||||
def test_mixed_data_types(self, component):
|
||||
"""Test filtering on mixed data types."""
|
||||
data = pd.DataFrame({"mixed": ["text", 123, "more_text", 456], "id": [1, 2, 3, 4]})
|
||||
|
||||
component.df = DataFrame(data)
|
||||
component.operation = [{"name": "Filter", "icon": "filter"}]
|
||||
component.column_name = "mixed"
|
||||
component.filter_operator = "contains"
|
||||
component.filter_value = "text"
|
||||
|
||||
result = component.perform_operation()
|
||||
|
||||
assert len(result) == 2 # "text" and "more_text"
|
||||
|
||||
|
||||
# Integration test to verify all operators work together
|
||||
def test_all_filter_operators_comprehensive():
|
||||
"""Comprehensive test of all filter operators on the same dataset."""
|
||||
data = pd.DataFrame(
|
||||
{
|
||||
"name": ["John", "Jane", "Bob", "Alice"],
|
||||
"email": ["john@gmail.com", "jane@yahoo.com", "bob@gmail.com", "alice@test.org"],
|
||||
"age": [25, 30, 35, 28],
|
||||
"score": [85.5, 92.0, 78.5, 88.0],
|
||||
}
|
||||
)
|
||||
|
||||
component = DataFrameOperationsComponent()
|
||||
component.df = pd.DataFrame()
|
||||
component.operation = "Head"
|
||||
component.num_rows = 3
|
||||
result = component.perform_operation()
|
||||
assert result.empty
|
||||
component.df = DataFrame(data)
|
||||
component.operation = [{"name": "Filter", "icon": "filter"}]
|
||||
|
||||
# Test all operators
|
||||
test_cases = [
|
||||
("email", "contains", "gmail", 2), # John, Bob
|
||||
("name", "starts with", "J", 2), # John, Jane
|
||||
("email", "ends with", ".com", 3), # All except Alice
|
||||
("age", "greater than", "28", 2), # Jane, Bob
|
||||
("score", "less than", "90", 3), # John, Bob, Alice
|
||||
("name", "equals", "John", 1), # Only John
|
||||
("email", "not equals", "jane@yahoo.com", 3), # All except Jane
|
||||
]
|
||||
|
||||
for column, operator, value, expected_count in test_cases:
|
||||
component.column_name = column
|
||||
component.filter_operator = operator
|
||||
component.filter_value = value
|
||||
|
||||
result = component.perform_operation()
|
||||
|
||||
assert len(result) == expected_count, f"Failed for {operator} on {column} with value {value}"
|
||||
|
||||
|
||||
def test_non_existent_column():
|
||||
component = DataFrameOperationsComponent()
|
||||
component.df = pd.DataFrame({"A": [1, 2, 3]})
|
||||
component.operation = "Drop Column"
|
||||
component.column_name = "B"
|
||||
with pytest.raises(KeyError):
|
||||
component.perform_operation()
|
||||
|
||||
|
||||
def test_invalid_operation():
|
||||
component = DataFrameOperationsComponent()
|
||||
component.df = pd.DataFrame({"A": [1, 2, 3]})
|
||||
component.operation = "Invalid Operation"
|
||||
with pytest.raises(ValueError, match="Unsupported operation: Invalid Operation"):
|
||||
component.perform_operation()
|
||||
if __name__ == "__main__":
|
||||
pytest.main([__file__])
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue