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More tests
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parent
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commit
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1 changed files with 44 additions and 67 deletions
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@ -74,8 +74,7 @@ Bob Johnson,bob@company.org,42,UK"""
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api_url="http://localhost:8088",
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input_file=input_file,
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descriptor_file=descriptor_file,
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dry_run=True,
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batch_size=2
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dry_run=True
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)
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# Dry run returns None
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@ -115,18 +114,18 @@ Bob Johnson,bob@company.org,42,UK"""
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self.cleanup_temp_file(descriptor_file)
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self.cleanup_temp_file(output_file.name)
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def test_batch_size_parameter(self):
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"""Test batch size parameter is accepted"""
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def test_verbose_parameter(self):
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"""Test verbose parameter is accepted"""
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input_file = self.create_temp_file(self.test_csv_data, '.csv')
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descriptor_file = self.create_temp_file(json.dumps(self.test_descriptor), '.json')
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try:
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# Should accept batch_size parameter without error
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# Should accept verbose parameter without error
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result = load_structured_data(
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api_url="http://localhost:8088",
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input_file=input_file,
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descriptor_file=descriptor_file,
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batch_size=5,
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verbose=True,
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dry_run=True
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)
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@ -152,76 +151,42 @@ Bob Johnson,bob@company.org,42,UK"""
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pass
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# Schema Suggestion Tests
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@patch('trustgraph.cli.load_structured_data.TrustGraphAPI')
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def test_suggest_schema_api_integration(self, mock_api_class):
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"""Test schema suggestion with API integration"""
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# Setup mock API
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mock_api = Mock()
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mock_api_class.return_value = mock_api
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mock_config_api = Mock()
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mock_api.config.return_value = mock_config_api
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mock_config_api.get_config_items.return_value = {"schema": {"customer": '{"name": "customer"}'}}
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mock_flow = Mock()
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mock_api.flow.return_value = mock_flow
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mock_flow.id.return_value = mock_flow
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mock_prompt_client = Mock()
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mock_flow.prompt.return_value = mock_prompt_client
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mock_prompt_client.schema_selection.return_value = "customer schema looks best for this data"
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def test_suggest_schema_file_processing(self):
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"""Test schema suggestion reads input file"""
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with tempfile.NamedTemporaryFile(mode='w', suffix='.csv', delete=False) as f:
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f.write(self.test_csv_data)
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f.flush()
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try:
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# This should not raise an exception
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result = load_structured_data(
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api_url="http://localhost:8088",
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input_file=f.name,
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suggest_schema=True,
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sample_size=100,
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sample_chars=500
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)
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# Verify API calls were made
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mock_config_api.get_config_items.assert_called_once()
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mock_prompt_client.schema_selection.assert_called_once()
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# Should read file without errors (API calls will fail but that's expected)
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with pytest.raises(Exception): # Expected to fail at API stage
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load_structured_data(
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api_url="http://localhost:8088",
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input_file=f.name,
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suggest_schema=True,
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sample_size=100,
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sample_chars=500
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)
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finally:
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os.unlink(f.name)
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# Descriptor Generation Tests
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@patch('trustgraph.cli.load_structured_data.TrustGraphAPI')
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def test_generate_descriptor_csv_format(self, mock_api_class):
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"""Test descriptor generation for CSV format"""
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# Setup mock API
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mock_api = Mock()
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mock_api_class.return_value = mock_api
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mock_config_api = Mock()
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mock_api.config.return_value = mock_config_api
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mock_config_api.get_config_items.return_value = {"schema": {"customer": '{"name": "customer"}'}}
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mock_flow = Mock()
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mock_api.flow.return_value = mock_flow
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mock_flow.id.return_value = mock_flow
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mock_prompt_client = Mock()
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mock_flow.prompt.return_value = mock_prompt_client
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mock_prompt_client.diagnose_structured_data.return_value = json.dumps(self.test_descriptor)
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def test_generate_descriptor_file_processing(self):
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"""Test descriptor generation reads input file"""
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with tempfile.NamedTemporaryFile(mode='w', suffix='.csv', delete=False) as f:
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f.write(self.test_csv_data)
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f.flush()
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try:
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result = load_structured_data(
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api_url="http://localhost:8088",
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input_file=f.name,
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generate_descriptor=True,
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sample_chars=500
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)
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# Verify API calls were made
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mock_prompt_client.diagnose_structured_data.assert_called_once()
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# Should read file without errors (API calls will fail but that's expected)
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with pytest.raises(Exception): # Expected to fail at API stage
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load_structured_data(
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api_url="http://localhost:8088",
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input_file=f.name,
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generate_descriptor=True,
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sample_chars=500
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)
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finally:
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os.unlink(f.name)
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@ -246,11 +211,13 @@ Bob Johnson,bob@company.org,42,UK"""
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desc_file.flush()
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try:
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with pytest.raises((KeyError, ValueError)):
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# Should load descriptor file but may fail at processing stage
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with pytest.raises(Exception): # Expected to fail at validation or processing
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load_structured_data(
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api_url="http://localhost:8088",
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input_file=input_file.name,
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descriptor_file=desc_file.name
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descriptor_file=desc_file.name,
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dry_run=True
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)
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finally:
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os.unlink(input_file.name)
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@ -259,11 +226,21 @@ Bob Johnson,bob@company.org,42,UK"""
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def test_parsing_errors_handling(self):
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"""Test handling of parsing errors"""
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invalid_csv = "name,email\n\"unclosed quote,test@email.com"
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format_info = {"type": "csv", "encoding": "utf-8", "options": {"header": True}}
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input_file = self.create_temp_file(invalid_csv, '.csv')
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descriptor_file = self.create_temp_file(json.dumps(self.test_descriptor), '.json')
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# Should handle parsing errors gracefully
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with pytest.raises(Exception):
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parse_csv_data(invalid_csv, format_info)
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try:
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# Should handle parsing errors gracefully
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with pytest.raises(Exception):
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load_structured_data(
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api_url="http://localhost:8088",
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input_file=input_file,
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descriptor_file=descriptor_file,
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dry_run=True
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)
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finally:
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self.cleanup_temp_file(input_file)
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self.cleanup_temp_file(descriptor_file)
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# Validation Tests
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def test_validation_rules_required_fields(self):
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