ref: Some ruff fixes from preview (#5420)
* Some ruff fixes from preview * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
This commit is contained in:
Christophe Bornet
GitHub
parent
3454ede5a5
commit
e91bcc2520
79 changed files with 402 additions and 374 deletions
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@ -2,14 +2,14 @@ from typing import TYPE_CHECKING, Literal
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import pytest
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from langflow.components.inputs import ChatInput
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from langflow.inputs.inputs import DropdownInput, FileInput, IntInput, NestedDictInput, StrInput
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from langflow.io.schema import create_input_schema
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if TYPE_CHECKING:
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from pydantic.fields import FieldInfo
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def test_create_input_schema():
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from langflow.io.schema import create_input_schema
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schema = create_input_schema(ChatInput.inputs)
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assert schema.__name__ == "InputSchema"
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@ -17,9 +17,6 @@ def test_create_input_schema():
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class TestCreateInputSchema:
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# Single input type is converted to list and processed correctly
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def test_single_input_type_conversion(self):
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from langflow.inputs.inputs import StrInput
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from langflow.io.schema import create_input_schema
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input_instance = StrInput(name="test_field")
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schema = create_input_schema([input_instance])
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assert schema.__name__ == "InputSchema"
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@ -27,9 +24,6 @@ class TestCreateInputSchema:
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# Multiple input types are processed and included in the schema
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def test_multiple_input_types(self):
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from langflow.inputs.inputs import IntInput, StrInput
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from langflow.io.schema import create_input_schema
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inputs = [StrInput(name="str_field"), IntInput(name="int_field")]
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schema = create_input_schema(inputs)
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assert schema.__name__ == "InputSchema"
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@ -38,9 +32,6 @@ class TestCreateInputSchema:
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# Fields are correctly created with appropriate types and attributes
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def test_fields_creation_with_correct_types_and_attributes(self):
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from langflow.inputs.inputs import StrInput
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from langflow.io.schema import create_input_schema
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input_instance = StrInput(name="test_field", info="Test Info", required=True)
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schema = create_input_schema([input_instance])
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field_info = schema.model_fields["test_field"]
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@ -49,18 +40,12 @@ class TestCreateInputSchema:
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# Schema model is created and returned successfully
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def test_schema_model_creation(self):
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from langflow.inputs.inputs import StrInput
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from langflow.io.schema import create_input_schema
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input_instance = StrInput(name="test_field")
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schema = create_input_schema([input_instance])
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assert schema.__name__ == "InputSchema"
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# Default values are correctly assigned to fields
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def test_default_values_assignment(self):
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from langflow.inputs.inputs import StrInput
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from langflow.io.schema import create_input_schema
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input_instance = StrInput(name="test_field", value="default_value")
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schema = create_input_schema([input_instance])
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field_info = schema.model_fields["test_field"]
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@ -68,16 +53,11 @@ class TestCreateInputSchema:
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# Empty list of inputs is handled without errors
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def test_empty_list_of_inputs(self):
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from langflow.io.schema import create_input_schema
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schema = create_input_schema([])
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assert schema.__name__ == "InputSchema"
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# Input with missing optional attributes (e.g., display_name, info) is processed correctly
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def test_missing_optional_attributes(self):
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from langflow.inputs.inputs import StrInput
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from langflow.io.schema import create_input_schema
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input_instance = StrInput(name="test_field")
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schema = create_input_schema([input_instance])
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field_info = schema.model_fields["test_field"]
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@ -86,9 +66,6 @@ class TestCreateInputSchema:
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# Input with is_list attribute set to True is processed correctly
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def test_is_list_attribute_processing(self):
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from langflow.inputs.inputs import StrInput
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from langflow.io.schema import create_input_schema
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input_instance = StrInput(name="test_field", is_list=True)
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schema = create_input_schema([input_instance])
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field_info: FieldInfo = schema.model_fields["test_field"]
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@ -96,9 +73,6 @@ class TestCreateInputSchema:
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# Input with options attribute is processed correctly
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def test_options_attribute_processing(self):
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from langflow.inputs.inputs import DropdownInput
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from langflow.io.schema import create_input_schema
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input_instance = DropdownInput(name="test_field", options=["option1", "option2"])
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schema = create_input_schema([input_instance])
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field_info = schema.model_fields["test_field"]
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@ -106,9 +80,6 @@ class TestCreateInputSchema:
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# Non-standard field types are handled correctly
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def test_non_standard_field_types_handling(self):
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from langflow.inputs.inputs import FileInput
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from langflow.io.schema import create_input_schema
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input_instance = FileInput(name="file_field")
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schema = create_input_schema([input_instance])
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field_info = schema.model_fields["file_field"]
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@ -116,9 +87,6 @@ class TestCreateInputSchema:
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# Inputs with mixed required and optional fields are processed correctly
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def test_mixed_required_optional_fields_processing(self):
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from langflow.inputs.inputs import IntInput, StrInput
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from langflow.io.schema import create_input_schema
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inputs = [
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StrInput(name="required_field", required=True),
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IntInput(name="optional_field", required=False),
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@ -132,9 +100,6 @@ class TestCreateInputSchema:
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# Inputs with complex nested structures are handled correctly
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def test_complex_nested_structures_handling(self):
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from langflow.inputs.inputs import NestedDictInput
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from langflow.io.schema import create_input_schema
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nested_input = NestedDictInput(name="nested_field", value={"key": "value"})
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schema = create_input_schema([nested_input])
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@ -145,9 +110,6 @@ class TestCreateInputSchema:
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# Creating a schema from a single input type
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def test_single_input_type_replica(self):
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from langflow.inputs.inputs import StrInput
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from langflow.io.schema import create_input_schema
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input_instance = StrInput(name="test_field")
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schema = create_input_schema([input_instance])
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assert schema.__name__ == "InputSchema"
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@ -155,18 +117,12 @@ class TestCreateInputSchema:
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# Creating a schema from a list of input types
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def test_passing_input_type_directly(self):
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from langflow.inputs.inputs import IntInput, StrInput
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from langflow.io.schema import create_input_schema
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inputs = StrInput(name="str_field"), IntInput(name="int_field")
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with pytest.raises(TypeError):
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create_input_schema(inputs)
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# Handling input types with options correctly
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def test_options_handling(self):
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from langflow.inputs.inputs import DropdownInput
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from langflow.io.schema import create_input_schema
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input_instance = DropdownInput(name="test_field", options=["option1", "option2"])
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schema = create_input_schema([input_instance])
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field_info = schema.model_fields["test_field"]
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@ -174,9 +130,6 @@ class TestCreateInputSchema:
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# Handling input types with is_list attribute correctly
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def test_is_list_handling(self):
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from langflow.inputs.inputs import StrInput
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from langflow.io.schema import create_input_schema
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input_instance = StrInput(name="test_field", is_list=True)
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schema = create_input_schema([input_instance])
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field_info = schema.model_fields["test_field"]
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@ -184,9 +137,6 @@ class TestCreateInputSchema:
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# Converting FieldTypes to corresponding Python types
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def test_field_types_conversion(self):
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from langflow.inputs.inputs import IntInput
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from langflow.io.schema import create_input_schema
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input_instance = IntInput(name="int_field")
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schema = create_input_schema([input_instance])
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field_info = schema.model_fields["int_field"]
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@ -194,9 +144,6 @@ class TestCreateInputSchema:
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# Setting default values for non-required fields
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def test_default_values_for_non_required_fields(self):
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from langflow.inputs.inputs import StrInput
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from langflow.io.schema import create_input_schema
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input_instance = StrInput(name="test_field", value="default_value")
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schema = create_input_schema([input_instance])
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field_info = schema.model_fields["test_field"]
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@ -204,9 +151,6 @@ class TestCreateInputSchema:
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# Handling input types with missing attributes
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def test_missing_attributes_handling(self):
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from langflow.inputs.inputs import StrInput
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from langflow.io.schema import create_input_schema
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input_instance = StrInput(name="test_field")
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schema = create_input_schema([input_instance])
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field_info = schema.model_fields["test_field"]
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@ -217,9 +161,6 @@ class TestCreateInputSchema:
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# Handling input types with None as default value
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def test_none_default_value_handling(self):
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from langflow.inputs.inputs import StrInput
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from langflow.io.schema import create_input_schema
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input_instance = StrInput(name="test_field", value=None)
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schema = create_input_schema([input_instance])
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field_info = schema.model_fields["test_field"]
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@ -227,9 +168,6 @@ class TestCreateInputSchema:
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# Handling input types with special characters in names
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def test_special_characters_in_names_handling(self):
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from langflow.inputs.inputs import StrInput
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from langflow.io.schema import create_input_schema
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input_instance = StrInput(name="test@field#name")
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schema = create_input_schema([input_instance])
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assert "test@field#name" in schema.model_fields
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