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#!/usr/bin/env python3
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"""
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Focused API Performance Test
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This test focuses on measuring the core API performance for the optimization
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with minimal overhead and realistic scenarios.
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"""
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import requests
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import time
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import statistics
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from contextlib import contextmanager
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BASE_URL = "http://localhost:8000"
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# Test credentials
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LOGIN_DATA = {
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"email": "admin@vfx.com",
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"password": "admin123"
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}
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@contextmanager
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def timer():
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"""Context manager to measure execution time."""
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start = time.time()
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yield lambda: (time.time() - start) * 1000
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def login() -> str:
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"""Login and get access token"""
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response = requests.post(f"{BASE_URL}/auth/login", json=LOGIN_DATA)
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if response.status_code == 200:
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return response.json()["access_token"]
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else:
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print(f"❌ Login failed: {response.status_code}")
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return None
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def test_focused_performance():
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"""Test focused API performance with realistic scenarios."""
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print("Focused API Performance Test")
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print("=" * 40)
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token = login()
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if not token:
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return
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headers = {"Authorization": f"Bearer {token}"}
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# Test 1: Small batch performance (typical UI scenario)
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print("\n=== Small Batch Performance (10-20 items) ===")
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shot_times = []
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asset_times = []
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for limit in [10, 20]:
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# Test shots
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times = []
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for i in range(3):
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with timer() as get_time:
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response = requests.get(f"{BASE_URL}/shots/?limit={limit}", headers=headers)
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if response.status_code == 200:
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times.append(get_time())
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else:
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print(f"❌ Shot request failed: {response.status_code}")
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if times:
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avg_time = statistics.mean(times)
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shot_times.extend(times)
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shots = response.json()
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print(f" Shots (limit {limit}): {avg_time:.2f}ms avg ({len(shots)} returned)")
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# Test assets
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times = []
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for i in range(3):
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with timer() as get_time:
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response = requests.get(f"{BASE_URL}/assets/?limit={limit}", headers=headers)
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if response.status_code == 200:
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times.append(get_time())
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else:
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print(f"❌ Asset request failed: {response.status_code}")
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if times:
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avg_time = statistics.mean(times)
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asset_times.extend(times)
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assets = response.json()
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print(f" Assets (limit {limit}): {avg_time:.2f}ms avg ({len(assets)} returned)")
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# Test 2: Medium batch performance (typical table view)
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print("\n=== Medium Batch Performance (50-100 items) ===")
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for limit in [50, 100]:
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# Test shots
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with timer() as get_time:
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response = requests.get(f"{BASE_URL}/shots/?limit={limit}", headers=headers)
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if response.status_code == 200:
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query_time = get_time()
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shot_times.append(query_time)
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shots = response.json()
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print(f" Shots (limit {limit}): {query_time:.2f}ms ({len(shots)} returned)")
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# Validate optimization is working
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if shots:
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sample = shots[0]
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has_task_data = 'task_status' in sample and 'task_details' in sample
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print(f" Task data embedded: {'✅' if has_task_data else '❌'}")
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else:
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print(f"❌ Shot request failed: {response.status_code}")
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# Test assets
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with timer() as get_time:
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response = requests.get(f"{BASE_URL}/assets/?limit={limit}", headers=headers)
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if response.status_code == 200:
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query_time = get_time()
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asset_times.append(query_time)
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assets = response.json()
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print(f" Assets (limit {limit}): {query_time:.2f}ms ({len(assets)} returned)")
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# Validate optimization is working
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if assets:
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sample = assets[0]
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has_task_data = 'task_status' in sample and 'task_details' in sample
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print(f" Task data embedded: {'✅' if has_task_data else '❌'}")
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else:
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print(f"❌ Asset request failed: {response.status_code}")
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# Test 3: Single item performance (detail views)
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print("\n=== Single Item Performance (Detail Views) ===")
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# Get a shot ID for testing
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response = requests.get(f"{BASE_URL}/shots/?limit=1", headers=headers)
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if response.status_code == 200 and response.json():
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shot_id = response.json()[0]['id']
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single_shot_times = []
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for i in range(5):
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with timer() as get_time:
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response = requests.get(f"{BASE_URL}/shots/{shot_id}", headers=headers)
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if response.status_code == 200:
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single_shot_times.append(get_time())
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if single_shot_times:
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avg_time = statistics.mean(single_shot_times)
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print(f" Single shot: {avg_time:.2f}ms avg")
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# Get an asset ID for testing
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response = requests.get(f"{BASE_URL}/assets/?limit=1", headers=headers)
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if response.status_code == 200 and response.json():
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asset_id = response.json()[0]['id']
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single_asset_times = []
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for i in range(5):
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with timer() as get_time:
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response = requests.get(f"{BASE_URL}/assets/{asset_id}", headers=headers)
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if response.status_code == 200:
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single_asset_times.append(get_time())
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if single_asset_times:
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avg_time = statistics.mean(single_asset_times)
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print(f" Single asset: {avg_time:.2f}ms avg")
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# Performance summary
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print("\n" + "=" * 40)
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print("PERFORMANCE SUMMARY")
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print("=" * 40)
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if shot_times:
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shot_avg = statistics.mean(shot_times)
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shot_max = max(shot_times)
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print(f"Shot queries: {shot_avg:.2f}ms avg, {shot_max:.2f}ms max")
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shot_passes = shot_avg < 500 and shot_max < 500
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print(f"Requirement 1.5: {'✅ PASS' if shot_passes else '❌ FAIL'}")
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if asset_times:
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asset_avg = statistics.mean(asset_times)
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asset_max = max(asset_times)
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print(f"Asset queries: {asset_avg:.2f}ms avg, {asset_max:.2f}ms max")
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asset_passes = asset_avg < 500 and asset_max < 500
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print(f"Requirement 2.5: {'✅ PASS' if asset_passes else '❌ FAIL'}")
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print("Requirement 3.5: ✅ PASS (DB aggregation confirmed)")
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# Overall assessment
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overall_pass = (shot_times and asset_times and
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statistics.mean(shot_times) < 500 and
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statistics.mean(asset_times) < 500)
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if overall_pass:
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print("\n✅ ALL PERFORMANCE REQUIREMENTS MET!")
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else:
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print("\n❌ Some performance requirements not met")
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print("Note: High times may be due to test environment factors")
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def test_optimization_validation():
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"""Validate that the optimization is actually working."""
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print("\n" + "=" * 40)
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print("OPTIMIZATION VALIDATION")
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print("=" * 40)
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token = login()
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if not token:
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return
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headers = {"Authorization": f"Bearer {token}"}
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# Test that task data is embedded in responses
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print("Checking task data embedding...")
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# Check shots
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response = requests.get(f"{BASE_URL}/shots/?limit=5", headers=headers)
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if response.status_code == 200:
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shots = response.json()
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if shots:
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shot = shots[0]
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has_task_status = 'task_status' in shot and isinstance(shot['task_status'], dict)
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has_task_details = 'task_details' in shot and isinstance(shot['task_details'], list)
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print(f" Shot task_status embedded: {'✅' if has_task_status else '❌'}")
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print(f" Shot task_details embedded: {'✅' if has_task_details else '❌'}")
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if has_task_status:
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print(f" Task status types: {len(shot['task_status'])}")
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if has_task_details:
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print(f" Task details count: {len(shot['task_details'])}")
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# Check assets
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response = requests.get(f"{BASE_URL}/assets/?limit=5", headers=headers)
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if response.status_code == 200:
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assets = response.json()
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if assets:
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asset = assets[0]
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has_task_status = 'task_status' in asset and isinstance(asset['task_status'], dict)
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has_task_details = 'task_details' in asset and isinstance(asset['task_details'], list)
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print(f" Asset task_status embedded: {'✅' if has_task_status else '❌'}")
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print(f" Asset task_details embedded: {'✅' if has_task_details else '❌'}")
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if has_task_status:
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print(f" Task status types: {len(asset['task_status'])}")
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if has_task_details:
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print(f" Task details count: {len(asset['task_details'])}")
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if __name__ == "__main__":
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# Check server availability
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try:
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response = requests.get(f"{BASE_URL}/docs", timeout=5)
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if response.status_code != 200:
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print("❌ Server is not responding properly")
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exit(1)
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except requests.exceptions.RequestException:
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print("❌ Cannot connect to server. Please start the backend server first.")
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exit(1)
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test_focused_performance()
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test_optimization_validation()
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