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import json
import httpx
import pytest
import pytest_asyncio
from pytest_check import check
@pytest_asyncio.fixture
async def async_client():
async with httpx.AsyncClient(timeout=60.0) as client:
yield client
@pytest.mark.asyncio
async def test_convert_url(async_client):
"""Test convert URL to all outputs"""
url = "http://localhost:5001/v1alpha/convert/source"
payload = {
"options": {
"from_formats": [
"docx",
"pptx",
"html",
"image",
"pdf",
"asciidoc",
"md",
"xlsx",
],
"to_formats": ["md", "json", "html", "text", "doctags"],
"image_export_mode": "placeholder",
"ocr": True,
"force_ocr": False,
"ocr_engine": "easyocr",
"ocr_lang": ["en"],
"pdf_backend": "dlparse_v2",
"table_mode": "fast",
"abort_on_error": False,
"return_as_file": False,
},
"http_sources": [{"url": "https://arxiv.org/pdf/2206.01062"}],
}
print(json.dumps(payload, indent=2))
response = await async_client.post(url, json=payload)
assert response.status_code == 200, "Response should be 200 OK"
data = response.json()
# Response content checks
# Helper function to safely slice strings
def safe_slice(value, length=100):
if isinstance(value, str):
return value[:length]
return str(value) # Convert non-string values to string for debug purposes
# Document check
check.is_in(
"document",
data,
msg=f"Response should contain 'document' key. Received keys: {list(data.keys())}",
)
# MD check
check.is_in(
"md_content",
data.get("document", {}),
msg=f"Response should contain 'md_content' key. Received keys: {list(data.get('document', {}).keys())}",
)
if data.get("document", {}).get("md_content") is not None:
check.is_in(
"## DocLayNet: ",
data["document"]["md_content"],
msg=f"Markdown document should contain 'DocLayNet: '. Received: {safe_slice(data['document']['md_content'])}",
)
# JSON check
check.is_in(
"json_content",
data.get("document", {}),
msg=f"Response should contain 'json_content' key. Received keys: {list(data.get('document', {}).keys())}",
)
if data.get("document", {}).get("json_content") is not None:
check.is_in(
'{"schema_name": "DoclingDocument"',
json.dumps(data["document"]["json_content"]),
msg=f"JSON document should contain '{{\\n \"schema_name\": \"DoclingDocument'\". Received: {safe_slice(data['document']['json_content'])}",
)
# HTML check
check.is_in(
"html_content",
data.get("document", {}),
msg=f"Response should contain 'html_content' key. Received keys: {list(data.get('document', {}).keys())}",
)
if data.get("document", {}).get("html_content") is not None:
check.is_in(
'<!DOCTYPE html>\n<html lang="en">\n<head>',
data["document"]["html_content"],
msg=f"HTML document should contain '<!DOCTYPE html>\\n<html lang=\"en'>. Received: {safe_slice(data['document']['html_content'])}",
)
# Text check
check.is_in(
"text_content",
data.get("document", {}),
msg=f"Response should contain 'text_content' key. Received keys: {list(data.get('document', {}).keys())}",
)
if data.get("document", {}).get("text_content") is not None:
check.is_in(
"DocLayNet: A Large Human-Annotated Dataset",
data["document"]["text_content"],
msg=f"Text document should contain 'DocLayNet: A Large Human-Annotated Dataset'. Received: {safe_slice(data['document']['text_content'])}",
)
# DocTags check
check.is_in(
"doctags_content",
data.get("document", {}),
msg=f"Response should contain 'doctags_content' key. Received keys: {list(data.get('document', {}).keys())}",
)
if data.get("document", {}).get("doctags_content") is not None:
check.is_in(
"<document>\n<section_header_level_1><location>",
data["document"]["doctags_content"],
msg=f"DocTags document should contain '<document>\\n<section_header_level_1><location>'. Received: {safe_slice(data['document']['doctags_content'])}",
)
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