mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
124 lines
3.7 KiB
Python
124 lines
3.7 KiB
Python
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import pytest
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from pytest import raises
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from pytest_mock import MockerFixture
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from langchain.docstore.document import Document
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from langchain.document_loaders.json_loader import JSONLoader
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@pytest.mark.requires("jq")
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def test_load_valid_string_content(mocker: MockerFixture) -> None:
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file_path = "/workspaces/langchain/test.json"
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expected_docs = [
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Document(
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page_content="value1",
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metadata={"source": file_path, "seq_num": 1},
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),
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Document(
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page_content="value2",
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metadata={"source": file_path, "seq_num": 2},
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),
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]
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mocker.patch("builtins.open", mocker.mock_open())
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mock_csv_reader = mocker.patch("pathlib.Path.read_text")
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mock_csv_reader.return_value = '[{"text": "value1"}, {"text": "value2"}]'
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loader = JSONLoader(file_path=file_path, jq_schema=".[].text", text_content=True)
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result = loader.load()
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assert result == expected_docs
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@pytest.mark.requires("jq")
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def test_load_valid_dict_content(mocker: MockerFixture) -> None:
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file_path = "/workspaces/langchain/test.json"
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expected_docs = [
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Document(
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page_content='{"text": "value1"}',
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metadata={"source": file_path, "seq_num": 1},
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),
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Document(
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page_content='{"text": "value2"}',
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metadata={"source": file_path, "seq_num": 2},
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),
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]
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mocker.patch("builtins.open", mocker.mock_open())
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mock_csv_reader = mocker.patch("pathlib.Path.read_text")
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mock_csv_reader.return_value = """
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[{"text": "value1"}, {"text": "value2"}]
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"""
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loader = JSONLoader(file_path=file_path, jq_schema=".[]", text_content=False)
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result = loader.load()
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assert result == expected_docs
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@pytest.mark.requires("jq")
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def test_load_valid_bool_content(mocker: MockerFixture) -> None:
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file_path = "/workspaces/langchain/test.json"
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expected_docs = [
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Document(
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page_content="False",
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metadata={"source": file_path, "seq_num": 1},
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),
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Document(
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page_content="True",
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metadata={"source": file_path, "seq_num": 2},
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),
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]
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mocker.patch("builtins.open", mocker.mock_open())
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mock_csv_reader = mocker.patch("pathlib.Path.read_text")
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mock_csv_reader.return_value = """
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[
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{"flag": false}, {"flag": true}
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]
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"""
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loader = JSONLoader(file_path=file_path, jq_schema=".[].flag", text_content=False)
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result = loader.load()
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assert result == expected_docs
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@pytest.mark.requires("jq")
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def test_load_valid_numeric_content(mocker: MockerFixture) -> None:
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file_path = "/workspaces/langchain/test.json"
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expected_docs = [
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Document(
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page_content="99",
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metadata={"source": file_path, "seq_num": 1},
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),
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Document(
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page_content="99.5",
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metadata={"source": file_path, "seq_num": 2},
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),
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]
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mocker.patch("builtins.open", mocker.mock_open())
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mock_csv_reader = mocker.patch("pathlib.Path.read_text")
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mock_csv_reader.return_value = """
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[
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{"num": 99}, {"num": 99.5}
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]
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"""
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loader = JSONLoader(file_path=file_path, jq_schema=".[].num", text_content=False)
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result = loader.load()
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assert result == expected_docs
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@pytest.mark.requires("jq")
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def test_load_invalid_test_content(mocker: MockerFixture) -> None:
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file_path = "/workspaces/langchain/test.json"
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mocker.patch("builtins.open", mocker.mock_open())
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mock_csv_reader = mocker.patch("pathlib.Path.read_text")
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mock_csv_reader.return_value = """
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[{"text": "value1"}, {"text": "value2"}]
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"""
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loader = JSONLoader(file_path=file_path, jq_schema=".[]", text_content=True)
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with raises(ValueError):
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loader.load()
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