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Author SHA1 Message Date
Jacob Molz
79d7ef6a90 fix: reject invalid PDF decoder input (#977) 2026-06-09 16:37:39 +01:00
cybermaggedon
e1c9351454
fix: update row query tests to mock async_execute_paged and async_scan (#979)
The query service now uses async_execute_paged (indexed path) and
async_scan (scan path) instead of async_execute. Tests were mocking
the old function, causing them to hang indefinitely.
2026-06-09 16:29:32 +01:00
3 changed files with 95 additions and 44 deletions

View file

@ -49,7 +49,7 @@ class TestPdfDecoderProcessor(IsolatedAsyncioTestCase):
async def test_on_message_success(self, mock_pdf_loader_class, mock_producer, mock_consumer):
"""Test successful PDF processing"""
# Mock PDF content
pdf_content = b"fake pdf content"
pdf_content = b"%PDF-1.7\nfake pdf content"
pdf_base64 = base64.b64encode(pdf_content).decode('utf-8')
# Mock PyPDFLoader
@ -88,13 +88,55 @@ class TestPdfDecoderProcessor(IsolatedAsyncioTestCase):
# Verify triples were sent for each page (provenance)
assert mock_triples_flow.send.call_count == 2
@patch('trustgraph.base.librarian_client.Consumer')
@patch('trustgraph.base.librarian_client.Producer')
@patch('trustgraph.decoding.pdf.pdf_decoder.PyPDFLoader')
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
async def test_on_message_rejects_librarian_content_that_is_not_pdf(self, mock_pdf_loader_class, mock_producer, mock_consumer):
"""Test rejecting non-PDF content before invoking the PDF loader"""
html_content = b"<html><body>Not found</body></html>"
html_base64 = base64.b64encode(html_content)
mock_metadata = Metadata(id="test-doc")
mock_document = Document(metadata=mock_metadata, document_id="doc-123")
mock_msg = MagicMock()
mock_msg.value.return_value = mock_document
mock_output_flow = AsyncMock()
mock_triples_flow = AsyncMock()
mock_flow = MagicMock(side_effect=lambda name: {
"output": mock_output_flow,
"triples": mock_triples_flow,
}.get(name))
mock_flow.librarian.fetch_document_metadata = AsyncMock(
return_value=MagicMock(kind="application/pdf")
)
mock_flow.librarian.fetch_document_content = AsyncMock(
return_value=html_base64
)
mock_flow.librarian.save_child_document = AsyncMock()
config = {
'id': 'test-pdf-decoder',
'taskgroup': AsyncMock()
}
processor = Processor(**config)
await processor.on_message(mock_msg, None, mock_flow)
mock_pdf_loader_class.assert_not_called()
mock_output_flow.send.assert_not_called()
mock_triples_flow.send.assert_not_called()
mock_flow.librarian.save_child_document.assert_not_called()
@patch('trustgraph.base.librarian_client.Consumer')
@patch('trustgraph.base.librarian_client.Producer')
@patch('trustgraph.decoding.pdf.pdf_decoder.PyPDFLoader')
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
async def test_on_message_empty_pdf(self, mock_pdf_loader_class, mock_producer, mock_consumer):
"""Test handling of empty PDF"""
pdf_content = b"fake pdf content"
pdf_content = b"%PDF-1.7\nfake pdf content"
pdf_base64 = base64.b64encode(pdf_content).decode('utf-8')
mock_loader = MagicMock()
@ -126,7 +168,7 @@ class TestPdfDecoderProcessor(IsolatedAsyncioTestCase):
@patch('trustgraph.base.async_processor.AsyncProcessor', MockAsyncProcessor)
async def test_on_message_unicode_content(self, mock_pdf_loader_class, mock_producer, mock_consumer):
"""Test handling of unicode content in PDF"""
pdf_content = b"fake pdf content"
pdf_content = b"%PDF-1.7\nfake pdf content"
pdf_base64 = base64.b64encode(pdf_content).decode('utf-8')
mock_loader = MagicMock()

View file

@ -333,8 +333,8 @@ class TestUnifiedTableQueries:
"""Test queries against the unified rows table"""
@pytest.mark.asyncio
@patch('trustgraph.query.rows.cassandra.service.async_execute', new_callable=AsyncMock)
async def test_query_with_index_match(self, mock_async_execute):
@patch('trustgraph.query.rows.cassandra.service.async_execute_paged', new_callable=AsyncMock)
async def test_query_with_index_match(self, mock_async_execute_paged):
"""Test query execution with matching index"""
processor = MagicMock()
processor.session = MagicMock()
@ -344,10 +344,10 @@ class TestUnifiedTableQueries:
processor.find_matching_index = Processor.find_matching_index.__get__(processor, Processor)
processor.query_cassandra = Processor.query_cassandra.__get__(processor, Processor)
# Mock async_execute to return test data
# Mock async_execute_paged to return test data (list of pages)
mock_row = MagicMock()
mock_row.data = {"id": "123", "name": "Test Product", "category": "electronics"}
mock_async_execute.return_value = [mock_row]
mock_async_execute_paged.return_value = [[mock_row]]
schema = RowSchema(
name="products",
@ -370,10 +370,10 @@ class TestUnifiedTableQueries:
# Verify Cassandra was connected and queried
processor.connect_cassandra.assert_called_once()
mock_async_execute.assert_called_once()
mock_async_execute_paged.assert_called_once()
# Verify query structure - should query unified rows table
call_args = mock_async_execute.call_args
call_args = mock_async_execute_paged.call_args
query = call_args[0][1]
params = call_args[0][2]
@ -394,8 +394,8 @@ class TestUnifiedTableQueries:
assert results[0]["category"] == "electronics"
@pytest.mark.asyncio
@patch('trustgraph.query.rows.cassandra.service.async_execute', new_callable=AsyncMock)
async def test_query_without_index_match(self, mock_async_execute):
@patch('trustgraph.query.rows.cassandra.service.async_scan', new_callable=AsyncMock)
async def test_query_without_index_match(self, mock_async_scan):
"""Test query execution without matching index (scan mode)"""
processor = MagicMock()
processor.session = MagicMock()
@ -406,12 +406,10 @@ class TestUnifiedTableQueries:
processor._matches_filters = Processor._matches_filters.__get__(processor, Processor)
processor.query_cassandra = Processor.query_cassandra.__get__(processor, Processor)
# Mock async_execute to return test data
# Mock async_scan to return filtered test data
mock_row1 = MagicMock()
mock_row1.data = {"id": "1", "name": "Product A", "price": "100"}
mock_row2 = MagicMock()
mock_row2.data = {"id": "2", "name": "Product B", "price": "200"}
mock_async_execute.return_value = [mock_row1, mock_row2]
mock_async_scan.return_value = [mock_row1]
schema = RowSchema(
name="products",
@ -432,13 +430,16 @@ class TestUnifiedTableQueries:
limit=10
)
# Query should use ALLOW FILTERING for scan
call_args = mock_async_execute.call_args
# Verify async_scan was called
mock_async_scan.assert_called_once()
# Verify query structure
call_args = mock_async_scan.call_args
query = call_args[0][1]
assert "ALLOW FILTERING" in query
# Should post-filter results
# Should return filtered results
assert len(results) == 1
assert results[0]["name"] == "Product A"

View file

@ -32,6 +32,10 @@ logger = logging.getLogger(__name__)
default_ident = "document-decoder"
def _looks_like_pdf(content):
return content.lstrip().startswith(b"%PDF-")
class Processor(FlowProcessor):
def __init__(self, **params):
@ -94,33 +98,37 @@ class Processor(FlowProcessor):
)
return
with tempfile.NamedTemporaryFile(delete_on_close=False, suffix='.pdf') as fp:
# Check if we should fetch from librarian or use inline data
if v.document_id:
# Fetch from librarian via Pulsar
logger.info(f"Fetching document {v.document_id} from librarian...")
content = await flow.librarian.fetch_document_content(
document_id=v.document_id,
)
# Content is base64 encoded
if isinstance(content, str):
content = content.encode('utf-8')
decoded_content = base64.b64decode(content)
logger.info(f"Fetched {len(decoded_content)} bytes from librarian")
else:
# Use inline data (backward compatibility)
decoded_content = base64.b64decode(v.data)
if not _looks_like_pdf(decoded_content):
logger.error(
f"Document {v.metadata.id} is not valid PDF content. "
f"Ignoring document."
)
return
with tempfile.NamedTemporaryFile(delete=False, suffix='.pdf') as fp:
temp_path = fp.name
# Check if we should fetch from librarian or use inline data
if v.document_id:
# Fetch from librarian via Pulsar
logger.info(f"Fetching document {v.document_id} from librarian...")
fp.close()
content = await flow.librarian.fetch_document_content(
document_id=v.document_id,
)
# Content is base64 encoded
if isinstance(content, str):
content = content.encode('utf-8')
decoded_content = base64.b64decode(content)
with open(temp_path, 'wb') as f:
f.write(decoded_content)
logger.info(f"Fetched {len(decoded_content)} bytes from librarian")
else:
# Use inline data (backward compatibility)
fp.write(base64.b64decode(v.data))
fp.close()
fp.write(decoded_content)
fp.close()
global PyPDFLoader
if PyPDFLoader is None: