markitdown/tests/test_async_markitdown.py

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2024-12-15 11:18:44 +00:00
#!/usr/bin/env python3 -m pytest
import asyncio
import io
import os
import shutil
import pytest
import httpx
from markitdown import AsyncMarkItDown
skip_remote = (
True if os.environ.get("GITHUB_ACTIONS") else False
) # Don't run these tests in CI
skip_exiftool = shutil.which("exiftool") is None
TEST_FILES_DIR = os.path.join(os.path.dirname(__file__), "test_files")
JPG_TEST_EXIFTOOL = {
"Author": "AutoGen Authors",
"Title": "AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation",
"Description": "AutoGen enables diverse LLM-based applications",
"ImageSize": "1615x1967",
"DateTimeOriginal": "2024:03:14 22:10:00",
}
PDF_TEST_URL = "https://arxiv.org/pdf/2308.08155v2.pdf"
PDF_TEST_STRINGS = [
"While there is contemporaneous exploration of multi-agent approaches"
]
YOUTUBE_TEST_URL = "https://www.youtube.com/watch?v=V2qZ_lgxTzg"
YOUTUBE_TEST_STRINGS = [
"## AutoGen FULL Tutorial with Python (Step-By-Step)",
"This is an intermediate tutorial for installing and using AutoGen locally",
"PT15M4S",
"the model we're going to be using today is GPT 3.5 turbo", # From the transcript
]
XLSX_TEST_STRINGS = [
"## 09060124-b5e7-4717-9d07-3c046eb",
"6ff4173b-42a5-4784-9b19-f49caff4d93d",
"affc7dad-52dc-4b98-9b5d-51e65d8a8ad0",
]
DOCX_TEST_STRINGS = [
"314b0a30-5b04-470b-b9f7-eed2c2bec74a",
"49e168b7-d2ae-407f-a055-2167576f39a1",
"## d666f1f7-46cb-42bd-9a39-9a39cf2a509f",
"# Abstract",
"# Introduction",
"AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation",
]
PPTX_TEST_STRINGS = [
"2cdda5c8-e50e-4db4-b5f0-9722a649f455",
"04191ea8-5c73-4215-a1d3-1cfb43aaaf12",
"44bf7d06-5e7a-4a40-a2e1-a2e42ef28c8a",
"1b92870d-e3b5-4e65-8153-919f4ff45592",
"AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation",
]
BLOG_TEST_URL = "https://microsoft.github.io/autogen/blog/2023/04/21/LLM-tuning-math"
BLOG_TEST_STRINGS = [
"Large language models (LLMs) are powerful tools that can generate natural language texts for various applications, such as chatbots, summarization, translation, and more. GPT-4 is currently the state of the art LLM in the world. Is model selection irrelevant? What about inference parameters?",
"an example where high cost can easily prevent a generic complex",
]
WIKIPEDIA_TEST_URL = "https://en.wikipedia.org/wiki/Microsoft"
WIKIPEDIA_TEST_STRINGS = [
"Microsoft entered the operating system (OS) business in 1980 with its own version of [Unix]",
'Microsoft was founded by [Bill Gates](/wiki/Bill_Gates "Bill Gates")',
]
WIKIPEDIA_TEST_EXCLUDES = [
"You are encouraged to create an account and log in",
"154 languages",
"move to sidebar",
]
SERP_TEST_URL = "https://www.bing.com/search?q=microsoft+wikipedia"
SERP_TEST_STRINGS = [
"](https://en.wikipedia.org/wiki/Microsoft",
"Microsoft Corporation is **an American multinational corporation and technology company headquartered** in Redmond",
"19952007: Foray into the Web, Windows 95, Windows XP, and Xbox",
]
SERP_TEST_EXCLUDES = [
"https://www.bing.com/ck/a?!&&p=",
"data:image/svg+xml,%3Csvg%20width%3D",
]
@pytest.mark.asyncio
@pytest.mark.skipif(
skip_remote,
reason="do not run tests that query external urls",
)
async def test_async_markitdown_remote():
"""Test async remote file conversion."""
async with AsyncMarkItDown() as markitdown:
# Test URL conversion
result = await markitdown.convert(PDF_TEST_URL)
for test_string in PDF_TEST_STRINGS:
assert test_string in result.text_content
# Test Wikipedia conversion
result = await markitdown.convert(
os.path.join(TEST_FILES_DIR, "test_wikipedia.html"), url=WIKIPEDIA_TEST_URL
)
text_content = result.text_content.replace("\\", "")
for test_string in WIKIPEDIA_TEST_EXCLUDES:
assert test_string not in text_content
for test_string in WIKIPEDIA_TEST_STRINGS:
assert test_string in text_content
# Test Blog conversion
result = await markitdown.convert(
os.path.join(TEST_FILES_DIR, "test_blog.html"), url=BLOG_TEST_URL
)
for test_string in BLOG_TEST_STRINGS:
text_content = result.text_content.replace("\\", "")
assert test_string in text_content
# Test SERP conversion
result = await markitdown.convert(
os.path.join(TEST_FILES_DIR, "test_serp.html"), url=SERP_TEST_URL
)
text_content = result.text_content.replace("\\", "")
for test_string in SERP_TEST_EXCLUDES:
assert test_string not in text_content
for test_string in SERP_TEST_STRINGS:
assert test_string in text_content
# Test YouTube conversion
result = await markitdown.convert(YOUTUBE_TEST_URL)
for test_string in YOUTUBE_TEST_STRINGS:
assert test_string in result.text_content
@pytest.mark.asyncio
async def test_async_markitdown_local():
"""Test async local file conversion."""
async with AsyncMarkItDown() as markitdown:
# Test DOCX conversion
result = await markitdown.convert(os.path.join(TEST_FILES_DIR, "test.docx"))
for test_string in DOCX_TEST_STRINGS:
text_content = result.text_content.replace("\\", "")
assert test_string in text_content
# Test XLSX conversion
result = await markitdown.convert(os.path.join(TEST_FILES_DIR, "test.xlsx"))
for test_string in XLSX_TEST_STRINGS:
text_content = result.text_content.replace("\\", "")
assert test_string in text_content
# Test PPTX conversion
result = await markitdown.convert(os.path.join(TEST_FILES_DIR, "test.pptx"))
for test_string in PPTX_TEST_STRINGS:
text_content = result.text_content.replace("\\", "")
assert test_string in text_content
# Test HTML conversion
result = await markitdown.convert(
os.path.join(TEST_FILES_DIR, "test_blog.html"), url=BLOG_TEST_URL
)
for test_string in BLOG_TEST_STRINGS:
text_content = result.text_content.replace("\\", "")
assert test_string in text_content
# Test Wikipedia conversion
result = await markitdown.convert(
os.path.join(TEST_FILES_DIR, "test_wikipedia.html"), url=WIKIPEDIA_TEST_URL
)
text_content = result.text_content.replace("\\", "")
for test_string in WIKIPEDIA_TEST_EXCLUDES:
assert test_string not in text_content
for test_string in WIKIPEDIA_TEST_STRINGS:
assert test_string in text_content
# Test SERP conversion
result = await markitdown.convert(
os.path.join(TEST_FILES_DIR, "test_serp.html"), url=SERP_TEST_URL
)
text_content = result.text_content.replace("\\", "")
for test_string in SERP_TEST_EXCLUDES:
assert test_string not in text_content
for test_string in SERP_TEST_STRINGS:
assert test_string in text_content
@pytest.mark.asyncio
@pytest.mark.skipif(
skip_exiftool,
reason="exiftool not installed",
)
async def test_async_markitdown_exiftool():
"""Test async image conversion with exiftool."""
async with AsyncMarkItDown() as markitdown:
result = await markitdown.convert(os.path.join(TEST_FILES_DIR, "test.jpg"))
for k, v in JPG_TEST_EXIFTOOL.items():
assert f"{k}: {v}" in result.text_content
@pytest.mark.asyncio
async def test_async_markitdown_concurrent():
"""Test concurrent async operations."""
async with AsyncMarkItDown() as markitdown:
# Create a list of tasks
tasks = []
for _ in range(5):
tasks.append(
markitdown.convert(os.path.join(TEST_FILES_DIR, "test.docx"))
)
tasks.append(
markitdown.convert(os.path.join(TEST_FILES_DIR, "test.xlsx"))
)
tasks.append(
markitdown.convert(os.path.join(TEST_FILES_DIR, "test.pptx"))
)
# Run all tasks concurrently
results = await asyncio.gather(*tasks)
# Verify results
for result in results:
assert result is not None
assert isinstance(result.text_content, str)
assert len(result.text_content) > 0
if __name__ == "__main__":
"""Run tests from command line."""
pytest.main([__file__])