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#!/usr/bin/env python3
"""
Test script for Depth Flow Pro API
Tests all endpoints and measures performance
"""
import requests
import base64
import time
import sys
from pathlib import Path
class APITester:
def __init__(self, base_url="http://localhost:8000"):
self.base_url = base_url
self.test_results = []
def print_header(self, text):
"""Print formatted header"""
print("\n" + "=" * 60)
print(f" {text}")
print("=" * 60)
def print_result(self, name, success, time_ms=None, details=None):
"""Print test result"""
status = "✓" if success else "✗"
time_str = f" ({time_ms:.2f}ms)" if time_ms else ""
print(f"{status} {name}{time_str}")
if details:
for key, value in details.items():
print(f" {key}: {value}")
self.test_results.append({
"name": name,
"success": success,
"time_ms": time_ms
})
def test_health(self):
"""Test health endpoint"""
self.print_header("Testing Health Endpoints")
try:
# Root endpoint
start = time.time()
response = requests.get(f"{self.base_url}/")
time_ms = (time.time() - start) * 1000
data = response.json()
self.print_result(
"GET /",
response.status_code == 200,
time_ms,
{"models_loaded": data.get("models_loaded", [])}
)
# Health endpoint
start = time.time()
response = requests.get(f"{self.base_url}/health")
time_ms = (time.time() - start) * 1000
data = response.json()
self.print_result(
"GET /health",
response.status_code == 200,
time_ms,
{
"status": data.get("status"),
"gpu_enabled": data.get("gpu_enabled"),
"models": ", ".join(data.get("models", {}).keys())
}
)
return True
except Exception as e:
print(f"✗ Health check failed: {e}")
print("\nMake sure the server is running:")
print(" cd backend")
print(" uvicorn api.main:app --reload")
return False
def test_preview(self, image_path):
"""Test preview endpoint"""
self.print_header("Testing Preview Endpoint")
if not Path(image_path).exists():
print(f"✗ Image not found: {image_path}")
return False
try:
with open(image_path, 'rb') as f:
start = time.time()
response = requests.post(
f"{self.base_url}/api/v1/depth/preview",
files={'file': f}
)
time_ms = (time.time() - start) * 1000
if response.status_code == 200:
data = response.json()
self.print_result(
"POST /api/v1/depth/preview",
True,
time_ms,
{
"model": data["metadata"]["model"],
"input_size": f"{data['metadata']['input_size'][0]}x{data['metadata']['input_size'][1]}",
"server_time": f"{data['processing_time_ms']:.2f}ms"
}
)
return True
else:
self.print_result(
"POST /api/v1/depth/preview",
False,
details={"error": response.text}
)
return False
except Exception as e:
print(f"✗ Preview test failed: {e}")
return False
def test_hq(self, image_path):
"""Test HQ endpoint"""
self.print_header("Testing High Quality Endpoint")
if not Path(image_path).exists():
print(f"✗ Image not found: {image_path}")
return False
try:
with open(image_path, 'rb') as f:
start = time.time()
response = requests.post(
f"{self.base_url}/api/v1/depth/hq",
files={'file': f}
)
time_ms = (time.time() - start) * 1000
if response.status_code == 200:
data = response.json()
self.print_result(
"POST /api/v1/depth/hq",
True,
time_ms,
{
"model": data["metadata"]["model"],
"input_size": f"{data['metadata']['input_size'][0]}x{data['metadata']['input_size'][1]}",
"server_time": f"{data['processing_time_ms']:.2f}ms"
}
)
return True
else:
self.print_result(
"POST /api/v1/depth/hq",
False,
details={"error": response.text}
)
return False
except Exception as e:
print(f"✗ HQ test failed: {e}")
return False
def test_estimate(self, image_path):
"""Test custom estimate endpoint"""
self.print_header("Testing Custom Estimate Endpoint")
if not Path(image_path).exists():
print(f"✗ Image not found: {image_path}")
return False
try:
# Read and encode image
with open(image_path, 'rb') as f:
image_data = f.read()
image_base64 = base64.b64encode(image_data).decode()
# Test different configurations
configs = [
{"model": "small", "output_format": "grayscale", "colormap": "inferno"},
{"model": "small", "output_format": "colormap", "colormap": "viridis"},
{"model": "small", "output_format": "both", "colormap": "plasma"},
]
for config in configs:
start = time.time()
response = requests.post(
f"{self.base_url}/api/v1/depth/estimate",
json={
"image": f"data:image/jpeg;base64,{image_base64}",
**config
}
)
time_ms = (time.time() - start) * 1000
if response.status_code == 200:
data = response.json()
self.print_result(
f"Estimate ({config['output_format']})",
True,
time_ms,
{"colormap": config['colormap']}
)
else:
self.print_result(
f"Estimate ({config['output_format']})",
False,
details={"error": response.text}
)
return True
except Exception as e:
print(f"✗ Estimate test failed: {e}")
return False
def print_summary(self):
"""Print test summary"""
self.print_header("Test Summary")
total = len(self.test_results)
passed = sum(1 for r in self.test_results if r["success"])
failed = total - passed
print(f"\nTotal Tests: {total}")
print(f"Passed: {passed} ✓")
print(f"Failed: {failed} ✗")
if passed == total:
print("\n🎉 All tests passed!")
else:
print(f"\n⚠️ {failed} test(s) failed")
# Performance summary
if any(r["time_ms"] for r in self.test_results):
print("\nPerformance Summary:")
for result in self.test_results:
if result["time_ms"]:
print(f" {result['name']}: {result['time_ms']:.2f}ms")
def main():
"""Run all tests"""
print("""
╔═══════════════════════════════════════════════╗
║ Depth Flow Pro - API Test Suite ║
╚═══════════════════════════════════════════════╝
""")
# Check for test image
if len(sys.argv) < 2:
print("Usage: python test_api.py <image_path>")
print("\nExample:")
print(" python test_api.py test_image.jpg")
sys.exit(1)
image_path = sys.argv[1]
if not Path(image_path).exists():
print(f"Error: Image not found: {image_path}")
sys.exit(1)
print(f"Test image: {image_path}")
# Initialize tester
tester = APITester()
# Run tests
if not tester.test_health():
print("\n❌ Server not accessible. Aborting tests.")
sys.exit(1)
tester.test_preview(image_path)
tester.test_hq(image_path)
tester.test_estimate(image_path)
# Print summary
tester.print_summary()
if __name__ == "__main__":
main()
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