mirror of
https://github.com/Unstructured-IO/unstructured.git
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d46c1c2d83
* add param and test in image table extraction * version and changelog * need to publish this one for api repo * add new param skip_infer_table_types * use warning * clean up with mapping * add test for tsv * fix test fail * weird change from merge * doc nit * don't use mapping * correct conflict
98 lines
3.2 KiB
Python
98 lines
3.2 KiB
Python
import os
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import pathlib
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import pandas as pd
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import pytest
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from unstructured.file_utils import exploration
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from unstructured.file_utils.filetype import FileType
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DIRECTORY = pathlib.Path(__file__).parent.resolve()
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is_in_docker = os.path.exists("/.dockerenv")
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@pytest.mark.skipif(is_in_docker, reason="Skipping this test in Docker container")
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def test_get_directory_file_info(tmpdir):
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file_info_test = os.path.join(tmpdir, "file_info_test")
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if not os.path.exists(file_info_test):
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os.mkdir(file_info_test)
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directory1 = os.path.join(file_info_test, "directory1")
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if not os.path.exists(directory1):
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os.mkdir(directory1)
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filename1 = os.path.join(directory1, "filename1.txt")
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with open(filename1, "w") as f:
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f.write("hello there!")
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directory2 = os.path.join(file_info_test, "directory2")
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if not os.path.exists(directory2):
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os.mkdir(directory2)
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filename2 = os.path.join(directory2, "filename2.txt")
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with open(filename2, "w") as f:
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f.write("hello there!")
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file_info = exploration.get_directory_file_info(file_info_test)
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assert isinstance(file_info, pd.DataFrame)
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assert set(file_info["filename"].to_list()) == {"filename1.txt", "filename2.txt"}
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means = file_info.groupby("filetype").mean(numeric_only=True)
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assert means.columns.to_list() == ["filesize"]
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@pytest.mark.skipif(is_in_docker, reason="Skipping this test in Docker container")
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def test_get_file_info(tmpdir):
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file_info_test = os.path.join(tmpdir, "file_info_test")
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if not os.path.exists(file_info_test):
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os.mkdir(file_info_test)
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directory1 = os.path.join(file_info_test, "directory1")
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if not os.path.exists(directory1):
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os.mkdir(directory1)
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filename1 = os.path.join(directory1, "filename1.txt")
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with open(filename1, "w") as f:
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f.write("hello there!")
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directory2 = os.path.join(file_info_test, "directory2")
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if not os.path.exists(directory2):
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os.mkdir(directory2)
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filename2 = os.path.join(directory2, "filename2.txt")
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with open(filename2, "w") as f:
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f.write("hello there!")
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file_info = exploration.get_file_info([filename1, filename2])
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assert isinstance(file_info, pd.DataFrame)
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assert set(file_info["filename"].to_list()) == {"filename1.txt", "filename2.txt"}
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means = file_info.groupby("filetype").mean(numeric_only=True)
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assert means.columns.to_list() == ["filesize"]
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def test_get_file_info_from_file_contents():
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file_contents_filename = os.path.join(DIRECTORY, "test-file-contents.txt")
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with open(file_contents_filename) as f:
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file_contents = [f.read()]
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file_info = exploration.get_file_info_from_file_contents(
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file_contents=file_contents,
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filenames=["test.eml"],
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)
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assert file_info.filetype[0] == FileType.EML
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def test_get_file_info_from_file_contents_raises_if_lists_no_equal():
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file_contents_filename = os.path.join(DIRECTORY, "test-file-contents.txt")
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with open(file_contents_filename) as f:
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file_contents = [f.read()]
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with pytest.raises(ValueError):
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exploration.get_file_info_from_file_contents(
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file_contents=file_contents,
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filenames=["test.eml", "test2.eml"],
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)
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