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https://github.com/crewAIInc/crewAI.git
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dc039cfac8
* feat: initialize rag * refactor: using cosine distance metric for chromadb * feat: use RecursiveCharacterTextSplitter as chunker strategy * feat: support chucker and loader per data_type * feat: adding JSON loader * feat: adding CSVLoader * feat: adding loader for DOCX files * feat: add loader for MDX files * feat: add loader for XML files * feat: add loader for parser Webpage * feat: support to load files from an entire directory * feat: support to auto-load the loaders for additional DataType * feat: add chuckers for some specific data type - Each chunker uses separators specific to its content type * feat: prevent document duplication and centralize content management - Implement document deduplication logic in RAG * Check for existing documents by source reference * Compare doc IDs to detect content changes * Automatically replace outdated content while preventing duplicates - Centralize common functionality for better maintainability * Create SourceContent class to handle URLs, files, and text uniformly * Extract shared utilities (compute_sha256) to misc.py * Standardize doc ID generation across all loaders - Improve RAG system architecture * All loaders now inherit consistent patterns from centralized BaseLoader * Better separation of concerns with dedicated content management classes * Standardized LoaderResult structure across all loader implementations * chore: split text loaders file * test: adding missing tests about RAG loaders * refactor: QOL * fix: add missing uv syntax on DOCXLoader
131 lines
4.7 KiB
Python
131 lines
4.7 KiB
Python
import os
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import tempfile
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import pytest
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from unittest.mock import patch, Mock
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from crewai_tools.rag.loaders.csv_loader import CSVLoader
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from crewai_tools.rag.base_loader import LoaderResult
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from crewai_tools.rag.source_content import SourceContent
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@pytest.fixture
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def temp_csv_file():
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created_files = []
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def _create(content: str):
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f = tempfile.NamedTemporaryFile(mode="w", suffix=".csv", delete=False)
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f.write(content)
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f.close()
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created_files.append(f.name)
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return f.name
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yield _create
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for path in created_files:
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os.unlink(path)
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class TestCSVLoader:
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def test_load_csv_from_file(self, temp_csv_file):
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path = temp_csv_file("name,age,city\nJohn,25,New York\nJane,30,Chicago")
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loader = CSVLoader()
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result = loader.load(SourceContent(path))
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assert isinstance(result, LoaderResult)
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assert "Headers: name | age | city" in result.content
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assert "Row 1: name: John | age: 25 | city: New York" in result.content
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assert "Row 2: name: Jane | age: 30 | city: Chicago" in result.content
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assert result.metadata == {
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"format": "csv",
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"columns": ["name", "age", "city"],
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"rows": 2,
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}
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assert result.source == path
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assert result.doc_id
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def test_load_csv_with_empty_values(self, temp_csv_file):
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path = temp_csv_file("name,age,city\nJohn,,New York\n,30,")
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result = CSVLoader().load(SourceContent(path))
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assert "Row 1: name: John | city: New York" in result.content
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assert "Row 2: age: 30" in result.content
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assert result.metadata["rows"] == 2
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def test_load_csv_malformed(self, temp_csv_file):
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path = temp_csv_file("invalid,csv\nunclosed quote \"missing")
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result = CSVLoader().load(SourceContent(path))
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assert "Headers: invalid | csv" in result.content
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assert 'Row 1: invalid: unclosed quote "missing' in result.content
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assert result.metadata["columns"] == ["invalid", "csv"]
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def test_load_csv_empty_file(self, temp_csv_file):
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path = temp_csv_file("")
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result = CSVLoader().load(SourceContent(path))
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assert result.content == ""
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assert result.metadata["rows"] == 0
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def test_load_csv_text_input(self):
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raw_csv = "col1,col2\nvalue1,value2\nvalue3,value4"
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result = CSVLoader().load(SourceContent(raw_csv))
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assert "Headers: col1 | col2" in result.content
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assert "Row 1: col1: value1 | col2: value2" in result.content
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assert "Row 2: col1: value3 | col2: value4" in result.content
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assert result.metadata["columns"] == ["col1", "col2"]
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assert result.metadata["rows"] == 2
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def test_doc_id_is_deterministic(self, temp_csv_file):
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path = temp_csv_file("name,value\ntest,123")
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loader = CSVLoader()
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result1 = loader.load(SourceContent(path))
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result2 = loader.load(SourceContent(path))
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assert result1.doc_id == result2.doc_id
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@patch("requests.get")
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def test_load_csv_from_url(self, mock_get):
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mock_get.return_value = Mock(
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text="name,value\ntest,123",
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raise_for_status=Mock(return_value=None)
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)
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result = CSVLoader().load(SourceContent("https://example.com/data.csv"))
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assert "Headers: name | value" in result.content
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assert "Row 1: name: test | value: 123" in result.content
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headers = mock_get.call_args[1]["headers"]
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assert "text/csv" in headers["Accept"]
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assert "crewai-tools CSVLoader" in headers["User-Agent"]
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@patch("requests.get")
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def test_load_csv_with_custom_headers(self, mock_get):
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mock_get.return_value = Mock(
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text="data,value\ntest,456",
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raise_for_status=Mock(return_value=None)
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)
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headers = {"Authorization": "Bearer token", "Custom-Header": "value"}
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result = CSVLoader().load(SourceContent("https://example.com/data.csv"), headers=headers)
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assert "Headers: data | value" in result.content
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assert mock_get.call_args[1]["headers"] == headers
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@patch("requests.get")
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def test_csv_loader_handles_network_errors(self, mock_get):
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mock_get.side_effect = Exception("Network error")
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loader = CSVLoader()
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with pytest.raises(ValueError, match="Error fetching CSV from URL"):
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loader.load(SourceContent("https://example.com/data.csv"))
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@patch("requests.get")
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def test_csv_loader_handles_http_error(self, mock_get):
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mock_get.return_value = Mock()
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mock_get.return_value.raise_for_status.side_effect = Exception("404 Not Found")
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loader = CSVLoader()
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with pytest.raises(ValueError, match="Error fetching CSV from URL"):
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loader.load(SourceContent("https://example.com/notfound.csv"))
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