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gh-christianlouis-docuelevate/tests/test_process_document.py
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Python

"""
Unit tests for the process_document task.
These tests verify that the process_document task correctly handles file processing
and doesn't cause DetachedInstanceError when accessing database objects.
"""
import os
import pytest
from unittest.mock import patch, MagicMock
from sqlalchemy.orm import Session
from app.tasks.process_document import process_document
from app.models import FileRecord
@pytest.mark.unit
@pytest.mark.requires_db
def test_process_document_stores_file_id_before_session_closes(db_session, tmp_path):
"""
Test that process_document stores file_id before the database session closes.
This prevents DetachedInstanceError when accessing the file_id after the session ends.
"""
# Create a test PDF file with embedded text
test_pdf = tmp_path / "test.pdf"
pdf_content = b"""%PDF-1.4
1 0 obj
<<
/Type /Catalog
/Pages 2 0 R
>>
endobj
2 0 obj
<<
/Type /Pages
/Kids [3 0 R]
/Count 1
>>
endobj
3 0 obj
<<
/Type /Page
/Parent 2 0 R
/MediaBox [0 0 612 792]
/Resources <<
/Font <<
/F1 <<
/Type /Font
/Subtype /Type1
/BaseFont /Helvetica
>>
>>
>>
/Contents 4 0 R
>>
endobj
4 0 obj
<<
/Length 44
>>
stream
BT
/F1 12 Tf
100 700 Td
(Test content) Tj
ET
endstream
endobj
xref
0 5
0000000000 65535 f
0000000009 00000 n
0000000058 00000 n
0000000115 00000 n
0000000306 00000 n
trailer
<<
/Size 5
/Root 1 0 R
>>
startxref
399
%%EOF
"""
test_pdf.write_bytes(pdf_content)
# Mock environment and dependencies
with patch("app.tasks.process_document.SessionLocal") as mock_session_local, patch(
"app.tasks.process_document.settings"
) as mock_settings, patch("app.tasks.process_document.log_task_progress"), patch(
"app.tasks.process_document.extract_metadata_with_gpt"
) as mock_extract:
# Setup mocks
mock_settings.workdir = str(tmp_path)
mock_session_local.return_value.__enter__.return_value = db_session
mock_session_local.return_value.__exit__.return_value = None
mock_extract.delay = MagicMock()
# Get the actual function from the task (skip decorators)
# The task function signature is: def process_document(self, original_local_file: str)
task_run_func = process_document.run
# Call the task's run method directly
result = task_run_func(str(test_pdf))
# Verify that the task completed successfully
assert "file_id" in result
assert result["status"] == "Text extracted locally"
# Verify that a FileRecord was created
file_record = db_session.query(FileRecord).first()
assert file_record is not None
assert file_record.original_filename == "test.pdf"
# Verify that extract_metadata_with_gpt was called with the file_id
# This would fail if file_id wasn't extracted before the session closed
mock_extract.delay.assert_called_once()
call_args = mock_extract.delay.call_args
assert call_args[0][2] == file_record.id # Third argument should be file_id
@pytest.mark.unit
@pytest.mark.requires_db
def test_process_document_duplicate_file(db_session, tmp_path):
"""
Test that duplicate files are detected and processing is skipped.
"""
# Create a test PDF file
test_pdf = tmp_path / "test.pdf"
test_pdf.write_bytes(b"test content")
# Pre-create a FileRecord with the same hash
from app.utils import hash_file
filehash = hash_file(str(test_pdf))
existing_record = FileRecord(
filehash=filehash,
original_filename="existing.pdf",
local_filename="/tmp/existing.pdf",
file_size=100,
mime_type="application/pdf",
)
db_session.add(existing_record)
db_session.commit()
existing_id = existing_record.id
# Mock environment and dependencies
with patch("app.tasks.process_document.SessionLocal") as mock_session_local, patch(
"app.tasks.process_document.log_task_progress"
):
# Setup mocks
mock_session_local.return_value.__enter__.return_value = db_session
mock_session_local.return_value.__exit__.return_value = None
# Call the task's run method directly
result = process_document.run(str(test_pdf))
# Verify that duplicate was detected
assert result["status"] == "duplicate_file"
assert result["file_id"] == existing_id
# Verify only one FileRecord exists
assert db_session.query(FileRecord).count() == 1
@pytest.mark.unit
@pytest.mark.requires_db
def test_process_document_queues_ocr_for_image_pdf(db_session, tmp_path):
"""
Test that PDFs without embedded text are queued for OCR processing.
"""
# Create a test PDF file without text
test_pdf = tmp_path / "test_image.pdf"
pdf_content = b"""%PDF-1.4
1 0 obj
<<
/Type /Catalog
/Pages 2 0 R
>>
endobj
2 0 obj
<<
/Type /Pages
/Kids [3 0 R]
/Count 1
>>
endobj
3 0 obj
<<
/Type /Page
/Parent 2 0 R
/MediaBox [0 0 612 792]
>>
endobj
xref
0 4
0000000000 65535 f
0000000009 00000 n
0000000058 00000 n
0000000115 00000 n
trailer
<<
/Size 4
/Root 1 0 R
>>
startxref
197
%%EOF
"""
test_pdf.write_bytes(pdf_content)
# Mock environment and dependencies
with patch("app.tasks.process_document.SessionLocal") as mock_session_local, patch(
"app.tasks.process_document.settings"
) as mock_settings, patch("app.tasks.process_document.log_task_progress"), patch(
"app.tasks.process_document.process_with_azure_document_intelligence"
) as mock_azure:
# Setup mocks
mock_settings.workdir = str(tmp_path)
mock_session_local.return_value.__enter__.return_value = db_session
mock_session_local.return_value.__exit__.return_value = None
mock_azure.delay = MagicMock()
# Call the task's run method directly
result = process_document.run(str(test_pdf))
# Verify that OCR was queued
assert result["status"] == "Queued for OCR"
assert "file_id" in result
# Verify that process_with_azure_document_intelligence was called with file_id
mock_azure.delay.assert_called_once()
call_args = mock_azure.delay.call_args
# Verify a FileRecord was created
file_record = db_session.query(FileRecord).first()
assert file_record is not None
# The second argument should be the file_id
assert call_args[0][1] == file_record.id