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test: add tests with fastapi client (#147)
Signed-off-by: Tiago Santana <54704492+SantanaTiago@users.noreply.github.com>
This commit is contained in:
128
tests/test_fastapi_endpoints.py
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128
tests/test_fastapi_endpoints.py
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import json
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import os
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from fastapi.testclient import TestClient
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from pytest_check import check
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from docling_serve.app import create_app
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client = TestClient(create_app())
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def test_health():
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response = client.get("/health")
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assert response.status_code == 200
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assert response.json() == {"status": "ok"}
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def test_convert_file():
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"""Test convert single file to all outputs"""
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endpoint = "/v1alpha/convert/file"
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options = {
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"from_formats": [
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"docx",
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"pptx",
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"html",
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"image",
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"pdf",
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"asciidoc",
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"md",
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"xlsx",
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],
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"to_formats": ["md", "json", "html", "text", "doctags"],
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"image_export_mode": "placeholder",
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"ocr": True,
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"force_ocr": False,
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"ocr_engine": "easyocr",
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"ocr_lang": ["en"],
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"pdf_backend": "dlparse_v2",
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"table_mode": "fast",
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"abort_on_error": False,
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"return_as_file": False,
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}
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current_dir = os.path.dirname(__file__)
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file_path = os.path.join(current_dir, "2206.01062v1.pdf")
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files = {
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"files": ("2206.01062v1.pdf", open(file_path, "rb"), "application/pdf"),
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}
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response = client.post(endpoint, files=files, data=options)
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assert response.status_code == 200, "Response should be 200 OK"
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data = response.json()
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# Response content checks
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# Helper function to safely slice strings
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def safe_slice(value, length=100):
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if isinstance(value, str):
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return value[:length]
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return str(value) # Convert non-string values to string for debug purposes
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# Document check
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check.is_in(
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"document",
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data,
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msg=f"Response should contain 'document' key. Received keys: {list(data.keys())}",
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)
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# MD check
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check.is_in(
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"md_content",
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data.get("document", {}),
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msg=f"Response should contain 'md_content' key. Received keys: {list(data.get('document', {}).keys())}",
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)
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if data.get("document", {}).get("md_content") is not None:
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check.is_in(
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"## DocLayNet: ",
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data["document"]["md_content"],
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msg=f"Markdown document should contain 'DocLayNet: '. Received: {safe_slice(data['document']['md_content'])}",
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)
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# JSON check
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check.is_in(
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"json_content",
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data.get("document", {}),
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msg=f"Response should contain 'json_content' key. Received keys: {list(data.get('document', {}).keys())}",
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)
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if data.get("document", {}).get("json_content") is not None:
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check.is_in(
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'{"schema_name": "DoclingDocument"',
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json.dumps(data["document"]["json_content"]),
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msg=f'JSON document should contain \'{{\\n "schema_name": "DoclingDocument\'". Received: {safe_slice(data["document"]["json_content"])}',
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)
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# HTML check
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check.is_in(
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"html_content",
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data.get("document", {}),
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msg=f"Response should contain 'html_content' key. Received keys: {list(data.get('document', {}).keys())}",
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)
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if data.get("document", {}).get("html_content") is not None:
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check.is_in(
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"<!DOCTYPE html>\n<html>\n<head>",
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data["document"]["html_content"],
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msg=f"HTML document should contain '<!DOCTYPE html>\n<html>\n<head>'. Received: {safe_slice(data['document']['html_content'])}",
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)
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# Text check
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check.is_in(
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"text_content",
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data.get("document", {}),
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msg=f"Response should contain 'text_content' key. Received keys: {list(data.get('document', {}).keys())}",
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)
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if data.get("document", {}).get("text_content") is not None:
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check.is_in(
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"DocLayNet: A Large Human-Annotated Dataset",
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data["document"]["text_content"],
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msg=f"Text document should contain 'DocLayNet: A Large Human-Annotated Dataset'. Received: {safe_slice(data['document']['text_content'])}",
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)
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# DocTags check
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check.is_in(
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"doctags_content",
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data.get("document", {}),
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msg=f"Response should contain 'doctags_content' key. Received keys: {list(data.get('document', {}).keys())}",
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)
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if data.get("document", {}).get("doctags_content") is not None:
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check.is_in(
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"<doctag><page_header>",
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data["document"]["doctags_content"],
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msg=f"DocTags document should contain '<doctag><page_header>'. Received: {safe_slice(data['document']['doctags_content'])}",
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)
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