Files
railseek6/test_ocr_with_new_auth.py

119 lines
4.5 KiB
Python

import requests
import json
import time
from pathlib import Path
# Configuration
BASE_URL = "http://localhost:3015"
USERNAME = "jleu3482"
PASSWORD = "jleu1212"
OCR_PDF_PATH = "ocr.pdf"
def test_ocr_upload_with_new_auth():
print("Testing OCR PDF upload with new authentication credentials...")
print(f"Username: {USERNAME}")
print(f"Password: {PASSWORD}")
print(f"OCR PDF: {OCR_PDF_PATH}")
# Step 1: Login and get access token
print("\n1. Logging in...")
login_data = {
"username": USERNAME,
"password": PASSWORD
}
try:
login_response = requests.post(f"{BASE_URL}/token", data=login_data)
if login_response.status_code == 200:
token_data = login_response.json()
access_token = token_data.get("access_token")
print(f"✓ Login successful! Access token obtained")
else:
print(f"✗ Login failed: {login_response.status_code} - {login_response.text}")
return False
except Exception as e:
print(f"✗ Login error: {e}")
return False
# Step 2: Clear existing documents first
print("\n2. Clearing existing documents...")
headers = {"Authorization": f"Bearer {access_token}"}
try:
clear_response = requests.post(f"{BASE_URL}/clear_documents", headers=headers)
if clear_response.status_code == 200:
print("✓ Documents cleared successfully")
else:
print(f"⚠ Clear documents response: {clear_response.status_code} - {clear_response.text}")
except Exception as e:
print(f"⚠ Clear documents error: {e}")
# Step 3: Upload OCR PDF
print("\n3. Uploading OCR PDF...")
if not Path(OCR_PDF_PATH).exists():
print(f"✗ OCR PDF file not found: {OCR_PDF_PATH}")
return False
files = {"file": (OCR_PDF_PATH, open(OCR_PDF_PATH, "rb"), "application/pdf")}
try:
upload_response = requests.post(f"{BASE_URL}/upload", files=files, headers=headers)
print(f"Upload response status: {upload_response.status_code}")
print(f"Upload response text: {upload_response.text}")
if upload_response.status_code == 200:
upload_result = upload_response.json()
print(f"✓ Upload successful! Result: {json.dumps(upload_result, indent=2)}")
# Step 4: Wait for processing and check document status
print("\n4. Waiting for document processing...")
time.sleep(5)
try:
status_response = requests.get(f"{BASE_URL}/documents", headers=headers)
if status_response.status_code == 200:
documents = status_response.json()
print(f"✓ Documents status: {json.dumps(documents, indent=2)}")
else:
print(f"⚠ Documents status check failed: {status_response.status_code}")
except Exception as e:
print(f"⚠ Documents status check error: {e}")
# Step 5: Test search functionality
print("\n5. Testing search functionality...")
search_data = {
"query": "safety precautions",
"top_k": 5
}
try:
search_response = requests.post(f"{BASE_URL}/search", json=search_data, headers=headers)
if search_response.status_code == 200:
search_results = search_response.json()
print(f"✓ Search successful! Found {len(search_results)} results")
for i, result in enumerate(search_results):
print(f" Result {i+1}: {result.get('content', '')[:100]}...")
else:
print(f"⚠ Search failed: {search_response.status_code} - {search_response.text}")
except Exception as e:
print(f"⚠ Search error: {e}")
return True
else:
print(f"✗ Upload failed: {upload_response.status_code} - {upload_response.text}")
return False
except Exception as e:
print(f"✗ Upload error: {e}")
return False
finally:
if 'files' in locals():
files["file"][1].close()
if __name__ == "__main__":
success = test_ocr_upload_with_new_auth()
if success:
print("\n🎉 OCR upload test with new authentication completed successfully!")
else:
print("\n❌ OCR upload test with new authentication failed!")