Initial commit: Complete DevServer monitoring framework
- FastAPI application with OpenTelemetry instrumentation - Redis caching and Celery task processing - Docker Compose setup with monitoring stack - Grafana dashboards and Prometheus metrics - Jaeger distributed tracing - Comprehensive documentation in docs/ folder - Monitoring configuration and troubleshooting guides
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Hardik Sankhla
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test_cache_apis.py
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229
test_cache_apis.py
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"""
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Test script demonstrating Redis caching in Dice Roll and Fibonacci APIs
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"""
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import requests
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import time
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BASE_URL = "http://localhost:8000"
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def print_header(title):
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print("\n" + "=" * 70)
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print(f" {title}")
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print("=" * 70)
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def print_section(title):
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print(f"\n{title}")
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print("-" * 70)
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def test_dice_with_caching():
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"""Test dice roll API with Redis caching"""
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print_header("DICE ROLL API - Redis Caching Test")
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session_id = "player_123"
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# First roll - should generate fresh results and cache them
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print_section("1️⃣ First Roll (Fresh - should cache)")
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response = requests.get(f"{BASE_URL}/api/dice/roll", params={
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"session_id": session_id,
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"use_cache": True
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})
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data1 = response.json()
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print(f" Session ID: {data1['session_id']}")
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print(f" Total Rolls: {data1['total']}")
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print(f" Statistics: {data1['statistics']}")
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print(f" Source: {data1['source']}")
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print(f" Cache Key: {data1['cache_key']}")
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print(f" Status: {response.status_code}")
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# Second roll - should return cached results (same rolls)
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print_section("2️⃣ Second Roll (Same Session - should hit cache)")
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response = requests.get(f"{BASE_URL}/api/dice/roll", params={
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"session_id": session_id,
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"use_cache": True
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})
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data2 = response.json()
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print(f" Source: {data2['source']}")
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print(f" Total Rolls: {data2['total']}")
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print(f" Statistics: {data2['statistics']}")
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print(f" Same results as first roll: {data1['dice_rolls'] == data2['dice_rolls']}")
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print(f" Status: {response.status_code}")
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# Third roll - different session, fresh results
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print_section("3️⃣ Third Roll (Different Session - fresh)")
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response = requests.get(f"{BASE_URL}/api/dice/roll", params={
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"session_id": "player_456",
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"use_cache": True
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})
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data3 = response.json()
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print(f" Session ID: {data3['session_id']}")
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print(f" Source: {data3['source']}")
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print(f" Total Rolls: {data3['total']}")
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print(f" Statistics: {data3['statistics']}")
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print(f" Status: {response.status_code}")
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# Fourth roll - cache disabled
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print_section("4️⃣ Fourth Roll (Cache Disabled)")
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response = requests.get(f"{BASE_URL}/api/dice/roll", params={
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"session_id": session_id,
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"use_cache": False
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})
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data4 = response.json()
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print(f" Source: {data4['source']}")
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print(f" Statistics: {data4['statistics']}")
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print(f" Different from cached: {data1['dice_rolls'] != data4['dice_rolls']}")
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print(f" Status: {response.status_code}")
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def test_fibonacci_with_caching():
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"""Test Fibonacci API with Redis caching"""
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print_header("FIBONACCI API - Redis Caching Test")
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# Test with n=10
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n = 10
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# First request - should compute and cache
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print_section(f"1️⃣ First Request (n={n}) - Fresh Computation")
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start = time.time()
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response = requests.post(f"{BASE_URL}/api/tasks/fibonacci", params={
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"n": n,
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"use_cache": True
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})
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elapsed1 = time.time() - start
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data1 = response.json()
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print(f" n: {data1['n']}")
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print(f" Status: {data1['status']}")
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print(f" Source: {data1['source']}")
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print(f" Response Time: {elapsed1:.3f}s")
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print(f" Cache Key: {data1['cache_key']}")
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if data1['source'] == 'celery_task':
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print(f" Task ID: {data1['task_id']}")
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print(f" Check result at: {data1['check_result_at']}")
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# Wait for task completion
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print("\n ⏳ Waiting for task to complete...")
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time.sleep(2)
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# Get result
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task_response = requests.get(f"{BASE_URL}/api/tasks/{data1['task_id']}")
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task_data = task_response.json()
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print(f" ✅ Task Status: {task_data['status']}")
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if task_data['status'] == 'completed':
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result = task_data['result']
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print(f" Result: Fibonacci({n}) = {result.get('result', result.get('fibonacci'))}")
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print(f" Computation Time: {result.get('computation_time_seconds', 'N/A')}s")
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else:
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print(f" ✅ Result: Fibonacci({n}) = {data1['result']}")
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# Second request - should hit cache immediately
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print_section(f"2️⃣ Second Request (n={n}) - Should Hit Cache")
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start = time.time()
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response = requests.post(f"{BASE_URL}/api/tasks/fibonacci", params={
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"n": n,
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"use_cache": True
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})
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elapsed2 = time.time() - start
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data2 = response.json()
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print(f" Status: {data2['status']}")
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print(f" Source: {data2['source']}")
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print(f" Response Time: {elapsed2:.3f}s")
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print(f" Result: Fibonacci({n}) = {data2.get('result', 'N/A')}")
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print(f" 🚀 Speedup: {elapsed1/elapsed2:.1f}x faster!")
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# Third request - cache disabled, force recomputation
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print_section(f"3️⃣ Third Request (n={n}) - Cache Disabled")
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start = time.time()
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response = requests.post(f"{BASE_URL}/api/tasks/fibonacci", params={
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"n": n,
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"use_cache": False
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})
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elapsed3 = time.time() - start
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data3 = response.json()
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print(f" Status: {data3['status']}")
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print(f" Source: {data3['source']}")
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print(f" Response Time: {elapsed3:.3f}s")
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# Test with larger number
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n_large = 20
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print_section(f"4️⃣ Large Fibonacci (n={n_large}) - First Request")
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start = time.time()
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response = requests.post(f"{BASE_URL}/api/tasks/fibonacci", params={
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"n": n_large,
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"use_cache": True
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})
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elapsed_large1 = time.time() - start
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data_large = response.json()
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print(f" Source: {data_large['source']}")
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print(f" Response Time: {elapsed_large1:.3f}s")
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if data_large['source'] == 'celery_task':
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print(f" Task ID: {data_large['task_id']}")
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print("\n ⏳ Waiting for computation...")
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time.sleep(3)
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task_response = requests.get(f"{BASE_URL}/api/tasks/{data_large['task_id']}")
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task_data = task_response.json()
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if task_data['status'] == 'completed':
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result = task_data['result']
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print(f" ✅ Result: Fibonacci({n_large}) = {result.get('result', result.get('fibonacci'))}")
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# Cached request for large number
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print_section(f"5️⃣ Large Fibonacci (n={n_large}) - Cached Request")
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start = time.time()
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response = requests.post(f"{BASE_URL}/api/tasks/fibonacci", params={
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"n": n_large,
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"use_cache": True
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})
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elapsed_large2 = time.time() - start
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data_large2 = response.json()
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print(f" Source: {data_large2['source']}")
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print(f" Response Time: {elapsed_large2:.3f}s")
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if data_large2['source'] == 'cache':
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print(f" ✅ Result: Fibonacci({n_large}) = {data_large2['result']}")
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print(f" 🚀 Much faster with cache!")
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def test_cache_stats():
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"""Display Redis cache statistics"""
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print_header("REDIS CACHE STATISTICS")
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response = requests.get(f"{BASE_URL}/api/cache/stats")
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data = response.json()
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stats = data['stats']
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print(f"\n Memory Used: {stats['used_memory']}")
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print(f" Total Keys: {stats['total_keys']}")
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print(f" Connected Clients: {stats['connected_clients']}")
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print(f" Cache Hits: {stats['hits']}")
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print(f" Cache Misses: {stats['misses']}")
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print(f" Hit Ratio: {stats['hit_ratio_percent']}%")
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print(f" Uptime: {stats['uptime_seconds']} seconds")
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def main():
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print("\n" + "🎲" * 35)
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print(" Redis Caching Test Suite for DevServer API")
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print("🎲" * 35)
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try:
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# Test Dice Roll API
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test_dice_with_caching()
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# Test Fibonacci API
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test_fibonacci_with_caching()
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# Display cache statistics
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test_cache_stats()
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print("\n" + "=" * 70)
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print(" ✅ All tests completed successfully!")
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print("=" * 70)
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print("\n💡 Key Takeaways:")
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print(" • Dice rolls are cached per session (5 min TTL)")
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print(" • Fibonacci results are cached globally (1 hour TTL)")
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print(" • Cache dramatically improves response times")
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print(" • Both APIs support cache bypass with use_cache=false")
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print("\n")
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except Exception as e:
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print(f"\n❌ Error: {e}")
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if __name__ == "__main__":
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main()
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