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Configuration error
Configuration error
| import json | |
| import os | |
| import httpx | |
| import pytest | |
| import pytest_asyncio | |
| from pytest_check import check | |
| async def async_client(): | |
| async with httpx.AsyncClient(timeout=60.0) as client: | |
| yield client | |
| async def test_convert_file(async_client): | |
| """Test convert single file to all outputs""" | |
| url = "http://localhost:5001/v1alpha/convert/file" | |
| 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, | |
| } | |
| current_dir = os.path.dirname(__file__) | |
| file_path = os.path.join(current_dir, "2206.01062v1.pdf") | |
| files = { | |
| "files": ("2206.01062v1.pdf", open(file_path, "rb"), "application/pdf"), | |
| } | |
| response = await async_client.post( | |
| url, files=files, data={"options": json.dumps(options)} | |
| ) | |
| 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'])}", | |
| ) | |