diff --git a/.envrc b/.envrc new file mode 100644 index 0000000..31f208a --- /dev/null +++ b/.envrc @@ -0,0 +1,3 @@ +use flake +[ -d .venv ] || uv venv +source_env .venv/bin/activate diff --git a/BENCHMARKS.md b/BENCHMARKS.md new file mode 100644 index 0000000..f364e1b --- /dev/null +++ b/BENCHMARKS.md @@ -0,0 +1,47 @@ +# Benchmarking guide for Tusk Drift Python SDK + +## Overview + +The benchmarking methodology is the same across all our SDKs. +It piggy backs off the end to end tests, so that test cases are automatically +discovered, and we don't have to setup multiple apps in multiple different +places to run tests. + +The simplest way to get started it simply +``` +./run-all-benchmarks.sh +``` +or to run a single (or a few) instrumentations, +``` +./run-all-benchmarks.sh -f flask,fastapi +``` + +Within each instrumentation's e2e tests, you can also run it as such +``` +BENCHMARKS=1 ./drift/instrumentation/aiohttp/e2e-tests/run.sh +``` +but it is not as convenient. The run-all script is essentially just automating +this for you (there's some other settings it sets automatically) + +## Methodology + +Benchmarks are run with a (by default) 3 second warm up, and 10 seconds of +actual measurement. This is very important especially for tests that make http +or filesystem queries, since the warm up also warms up all system caches (think +ARP, DNS, buffers, etc.). Disabling warm up *will* produce nonsensical results. + +The benchmarking process itself is simple. We start the app exactly as how the +e2e tests would, but the make_request helper function used by the e2e tests have +been hijacked to run continuously instead of returning after a single call. +We then measure the ops/second achieved during our 10s test interval, and print +out the results. We do this first for the SDK disabled case, and then again for +the SDK enabled case. The SDK is enabled/disabled through the standard +`TUSK_DRIFT_MODE` envvar. + +## Implementing benchmarks + +If you've read through the above you will realise adding benchmarks is really +easy! +Simply add a new endpoint to an existing e2e test, or add a new e2e test +entirely in the same format -- the run-all script auto discovers based on the +run.sh script in each e2e test folder. diff --git a/benchmarks/.gitignore b/benchmarks/.gitignore deleted file mode 100644 index 260fbf0..0000000 --- a/benchmarks/.gitignore +++ /dev/null @@ -1,5 +0,0 @@ -# Benchmark results (regenerated each run) -results/ - -# Trace directories created during benchmarks -.benchmark-traces*/ diff --git a/benchmarks/PROFILING.md b/benchmarks/PROFILING.md deleted file mode 100644 index 2e19ea0..0000000 --- a/benchmarks/PROFILING.md +++ /dev/null @@ -1,212 +0,0 @@ -# Profiling the Drift Python SDK - -This document explains how to profile the SDK to understand where performance overhead comes from. - -## Quick Start - -```bash -cd /path/to/drift-python-sdk - -# Run cProfile (recommended starting point) -./benchmarks/profile/profile.sh cprofile -``` - -## Available Profilers - -### 1. cProfile (Built-in, Deterministic) - -**Best for:** Understanding call counts and cumulative time per function. - -```bash -./benchmarks/profile/profile.sh cprofile -``` - -This runs the profiling workload and outputs: - -- A `.prof` file in `benchmarks/profile/results/` -- Summary of top functions by cumulative and total time - -**View interactively with snakeviz:** - -```bash -pip install snakeviz -snakeviz benchmarks/profile/results/cprofile_*.prof -``` - -Opens an interactive sunburst diagram in your browser showing the call hierarchy. - -### 2. py-spy (Sampling, Flame Graphs) - -**Best for:** Low-overhead profiling and classic flame graph visualization. - -```bash -# Requires sudo on macOS -sudo ./benchmarks/profile/profile.sh pyspy -``` - -Generates an SVG flame graph that you can open in any browser. - -**Install:** - -```bash -pip install py-spy -# Or on macOS: brew install py-spy -``` - -### 3. Scalene (CPU + Memory) - -**Best for:** Understanding both CPU time and memory allocation per line. - -```bash -pip install scalene -./benchmarks/profile/profile.sh scalene -``` - -Generates an HTML report with line-by-line CPU and memory breakdown. - -### 4. VizTracer (Timeline) - -**Best for:** Seeing the sequence and timing of function calls over time. - -```bash -pip install viztracer -./benchmarks/profile/profile.sh viztracer -``` - -**View the trace:** - -```bash -vizviewer benchmarks/profile/results/viztracer_*.json -``` - -Opens a Chrome DevTools-style timeline visualization. - -## Profile Analysis Results - -Based on profiling 500 HTTP requests through the SDK: - -### Top Overhead Sources - -| Function | Time/Call | Description | -|----------|-----------|-------------| -| `span_serialization.clean_span_to_proto` | ~1.7ms | Converting spans to protobuf format | -| `td_span_processor.on_end` | ~2.1ms | Processing spans when they complete | -| `handler.finalize_wsgi_span` | ~2.2ms | Finalizing HTTP/WSGI spans | -| `otel_converter.otel_span_to_clean_span_data` | ~0.4ms | Converting OpenTelemetry spans | - -### Key Findings - -1. **Span serialization is the biggest bottleneck** - - `_dict_to_struct`, `_value_to_proto`, `_json_schema_to_proto` are called recursively - - Converting rich span data to protobuf is inherently expensive - -2. **The instrumentation itself is cheap** - - Function patching/wrapping adds minimal overhead - - Most time is spent in span processing, not in the hooks - -3. **Sampling reduces overhead proportionally** - - At 10% sampling, most requests skip span serialization entirely - - This explains why lower sampling rates dramatically improve performance - -### Optimization Opportunities - -Based on the profile data: - -1. Lazy serialization - Defer protobuf conversion until export time -2. Batch serialization - Serialize multiple spans together -3. Schema caching - Cache JSON schema conversions -4. Attribute filtering - Skip serializing large/unnecessary attributes - -## Custom Profiling - -### Profile a Specific Workload - -Edit `benchmarks/profile/simple_profile.py` to customize: - -```python -# Adjust number of iterations -iterations = 1000 - -# Change request mix -if i % 3 == 0: - # Your custom endpoint - response = session.get(f"{server_url}/your-endpoint") -``` - -### Profile with Different SDK Settings - -```python -# In simple_profile.py, modify SDK initialization: -sdk = TuskDrift.initialize( - api_key="profile-test-key", - env="profile", - sampling_rate=0.1, # Test with different sampling rates - transforms={...}, # Test with transforms enabled - log_level="warning", -) -``` - -### Profile Production Code - -You can use py-spy to attach to a running process: - -```bash -# Find your Python process PID -ps aux | grep python - -# Attach and record -sudo py-spy record -o profile.svg --pid --duration 30 -``` - -## Comparing Before/After Changes - -1. Run profile before changes: - - ```bash - ./benchmarks/profile/profile.sh cprofile - mv benchmarks/profile/results/cprofile_*.prof benchmarks/profile/results/before.prof - ``` - -2. Make your changes - -3. Run profile after changes: - - ```bash - ./benchmarks/profile/profile.sh cprofile - mv benchmarks/profile/results/cprofile_*.prof benchmarks/profile/results/after.prof - ``` - -4. Compare with pstats: - - ```python - import pstats - - before = pstats.Stats('benchmarks/profile/results/before.prof') - after = pstats.Stats('benchmarks/profile/results/after.prof') - - print("=== BEFORE ===") - before.strip_dirs().sort_stats('cumulative').print_stats(20) - - print("=== AFTER ===") - after.strip_dirs().sort_stats('cumulative').print_stats(20) - ``` - -## Output Files - -Profile results are saved to `benchmarks/profile/results/` (gitignored): - -| File | Description | -|------|-------------| -| `cprofile_*.prof` | cProfile binary data | -| `flamegraph_*.svg` | py-spy flame graph | -| `scalene_*.html` | Scalene HTML report | -| `viztracer_*.json` | VizTracer timeline data | -| `traces/` | SDK trace output during profiling | - -## Tips - -- **Start with cProfile** - It's built-in and gives good overview -- **Use snakeviz for exploration** - Interactive visualization helps find hotspots -- **Profile realistic workloads** - Micro-benchmarks may not reflect production patterns -- **Compare sampling rates** - Profile with 100% vs 10% sampling to see the difference -- **Watch for I/O** - File writes and network calls can dominate profiles diff --git a/benchmarks/README.md b/benchmarks/README.md deleted file mode 100644 index 1489e9b..0000000 --- a/benchmarks/README.md +++ /dev/null @@ -1,194 +0,0 @@ -# Benchmarks - -These benchmarks measure the performance overhead of the Drift Python SDK. - -## Overview - -The benchmark suite runs a Flask test server and makes HTTP requests to various endpoints -while measuring latency, throughput, CPU usage, and memory consumption. Three configurations -are tested: - -1. SDK Disabled (baseline) - No SDK instrumentation -2. SDK Active - SDK in RECORD mode, capturing traces -3. SDK Active with Transforms - SDK with data transformation rules enabled - -## Usage - -### Prerequisites - -Make sure you have the required dependencies: - -```bash -cd /path/to/drift-python-sdk -uv pip install psutil flask requests -``` - -### Running All Benchmarks - -```bash -# Run all benchmarks and compare results -./run_benchmarks.sh -``` - -### Running Individual Benchmarks - -```bash -# Realistic workload benchmark (recommended) -python benchmarks/bench/realistic_workload.py - -# Fixed QPS latency test (measures latency at controlled request rates) -python benchmarks/bench/fixed_qps_latency.py - -# Synthetic benchmarks (stress tests) -python benchmarks/bench/sdk_disabled.py -python benchmarks/bench/sdk_active.py -python benchmarks/bench/sdk_active_with_transforms.py - -# Sampling rate comparison -python benchmarks/bench/sdk_sampling_rates.py -``` - -### Comparing Results - -After running benchmarks, compare the results: - -```bash -python benchmarks/compare_benchmarks.py -``` - -### Comparing Different Runs - -To compare results from different benchmark runs: - -```bash -# Compare two result files -python benchmarks/scripts/compare_runs.py results/old-results.json results/new-results.json - -# Output as JSON only (for programmatic use) -python benchmarks/scripts/compare_runs.py --json results/old.json results/new.json -``` - -### GitHub Actions Workflow - -Benchmarks can be run via GitHub Actions for consistent, reproducible results: - -1. Go to **Actions** → **Benchmarks** -2. Click **Run workflow** -3. Optionally specify: - - `iterations`: Number of iterations for realistic workload (default: 200) - - `qps_duration`: Duration per QPS level in seconds (default: 10) - - `compare_with`: Run ID to compare against (optional) - -The workflow outputs: - -- Structured JSON with all results and metadata -- Markdown summary in the workflow run -- Artifacts containing full results (retained for 90 days) -- Regression detection if overhead exceeds 3ms threshold - -### Configuration - -You can configure benchmarks via environment variables: - -- `BENCHMARK_ENABLE_MEMORY=false` - Disable memory monitoring (reduces CPU overhead) - -Or modify the options in `common.py`: - -```python -DEFAULT_OPTIONS = { - "time_per_task_ms": 10_000, # Duration per task (10 seconds default) - "warmup_iterations": 5, # Warmup iterations before measurement - "enable_memory_tracking": True, -} -``` - -## Benchmark Tasks - -### Realistic Workloads (Recommended) - -These endpoints simulate production API behavior: - -- **GET /api/typical-read** (~5-10ms): Auth check + DB read + response serialization -- **POST /api/typical-write** (~15-25ms): Validation + DB write + response -- **POST /api/realistic** (~10-20ms): Validation + DB query + data processing + response - -### Synthetic Workloads - -These are stress tests, not representative of production: - -- **POST /api/compute-hash**: Pure CPU (iterative SHA-256) - useful for profiling -- **POST /api/io-bound**: Pure I/O (sleep delays) - tests baseline overhead -- **POST /api/auth/login, /api/users**: Sensitive data for transform testing - -## Output - -Results are saved to `benchmarks/results/` as JSON files: - -- `sdk-disabled.json` - Baseline results -- `sdk-active.json` - SDK enabled results -- `sdk-active-with-transforms.json` - SDK with transforms results - -The comparison script outputs a markdown table showing: - -- Throughput delta (negative = worse) -- Tail latency (p99) delta (positive = worse) -- CPU usage delta -- Memory overhead - -## Interpreting Results - -- **Throughput $\Delta$**: Percentage change in operations/second. Negative means slower. -- **Tail Latency $\Delta$**: Percentage change in p99 latency. Positive means slower. -- **CPU User $\Delta$**: Change in user-space CPU percentage. -- **Memory $\Delta$**: Additional memory used by the SDK. - -Ideally, the SDK should have minimal impact: - -- Throughput should be within ±5% -- Tail latency increase should be <10% -- Memory overhead should be reasonable (<50MB) - -## Profiling - -For detailed profiling to understand where SDK overhead comes from, see **[PROFILING.md](./PROFILING.md)**. - -Quick start: - -```bash -# Run cProfile analysis -./benchmarks/profile/profile.sh cprofile - -# View interactively -pip install snakeviz -snakeviz benchmarks/profile/results/cprofile_*.prof -``` - -## Architecture - -```text -benchmarks/ -├── bench/ -│ ├── common.py # Shared benchmark logic -│ ├── fixed_qps_latency.py # Fixed QPS latency test -│ ├── realistic_workload.py # Realistic API workload benchmark -│ ├── resource_monitor.py # CPU/memory monitoring -│ ├── result_utils.py # Result serialization -│ ├── sdk_disabled.py # Baseline benchmark (synthetic) -│ ├── sdk_active.py # SDK active benchmark (synthetic) -│ ├── sdk_active_with_transforms.py -│ └── sdk_sampling_rates.py # Sampling rate impact benchmark -├── profile/ -│ ├── profile.sh # Profiler runner script -│ ├── simple_profile.py # Profiling workload -│ └── results/ # Profile output (gitignored) -├── scripts/ -│ └── compare_runs.py # Compare benchmark results across runs -├── server/ -│ └── test_server.py # Flask test server -├── results/ # JSON output (gitignored) -├── compare_benchmarks.py # Result comparison script -├── run_benchmarks.sh # Runner script -├── PROFILING.md # Profiling documentation -├── RESULTS.md # Historical results -└── README.md -``` diff --git a/benchmarks/bench/__init__.py b/benchmarks/bench/__init__.py deleted file mode 100644 index 854b623..0000000 --- a/benchmarks/bench/__init__.py +++ /dev/null @@ -1 +0,0 @@ -# Benchmark utilities diff --git a/benchmarks/bench/common.py b/benchmarks/bench/common.py deleted file mode 100644 index 76e331e..0000000 --- a/benchmarks/bench/common.py +++ /dev/null @@ -1,232 +0,0 @@ -"""Common benchmark runner logic.""" - -from __future__ import annotations - -import os -import sys -import time -from collections.abc import Callable -from typing import Any - -import requests - -# Add parent to path for imports -sys.path.insert(0, str(__file__).rsplit("/", 3)[0]) - -from benchmarks.bench.resource_monitor import ResourceMonitor -from benchmarks.bench.result_utils import ( - create_benchmark_result, - create_task_result, - persist_result, -) -from benchmarks.server.test_server import TestServer - -# Default benchmark options -DEFAULT_OPTIONS = { - "time_per_task_ms": 10_000, # Run each task for 10 seconds - "warmup_iterations": 5, - "enable_memory_tracking": True, -} - - -class BenchmarkTask: - """A single benchmark task.""" - - def __init__( - self, - name: str, - func: Callable[[], Any], - ): - self.name = name - self.func = func - self.samples_ns: list[float] = [] - - -def run_benchmarks( - label: str = "benchmark", - options: dict[str, Any] | None = None, -) -> None: - """Run all benchmarks with the given label.""" - opts = {**DEFAULT_OPTIONS, **(options or {})} - - # Check environment variable first, then fall back to options - env_memory = os.environ.get("BENCHMARK_ENABLE_MEMORY") - if env_memory is not None: - enable_memory_tracking = env_memory.lower() != "false" - else: - enable_memory_tracking = bool(opts.get("enable_memory_tracking", True)) - - # Start test server - server = TestServer() - server_info = server.start() - server_url = server_info["url"] - - # Wait for server to be ready - _wait_for_server(server_url) - - # Initialize resource monitor - resource_monitor = ResourceMonitor( - interval_ms=100, - enable_memory_tracking=enable_memory_tracking, - ) - - # Define benchmark tasks - tasks = _create_tasks(server_url, label) - - print(f"\n{'=' * 60}") - print(f"Running benchmarks: {label}") - print(f"{'=' * 60}\n") - - benchmark_start = time.time() - resource_monitor.start() - - task_results = [] - for task in tasks: - print(f"Running: {task.name}") - resource_monitor.start_task(task.name) - - # Warmup - for _ in range(opts["warmup_iterations"]): - task.func() - - # Actual benchmark - task_start = time.time() - while (time.time() - task_start) * 1000 < opts["time_per_task_ms"]: - iter_start = time.perf_counter_ns() - task.func() - iter_end = time.perf_counter_ns() - task.samples_ns.append(iter_end - iter_start) - - resource_monitor.end_task() - - # Create result for this task - task_result = create_task_result(task.name, task.samples_ns, resource_monitor) - task_results.append(task_result) - - # Print summary - if task_result.latency.mean: - mean_ms = task_result.latency.mean / 1_000_000 - print(f" Samples: {task_result.samples}, Mean: {mean_ms:.2f}ms") - if task_result.throughput.mean: - print(f" Throughput: {task_result.throughput.mean:.1f} ops/s") - print() - - resource_monitor.stop() - benchmark_duration_ms = (time.time() - benchmark_start) * 1000 - - # Create and save result - result = create_benchmark_result( - label=label, - tasks=task_results, - duration_ms=benchmark_duration_ms, - options=opts, - ) - - output_path = persist_result(result) - print(f"\n{'=' * 60}") - print("Benchmark complete!") - print(f"Results saved to: {output_path}") - print(f"Total duration: {benchmark_duration_ms / 1000:.1f}s") - print(f"{'=' * 60}\n") - - # Stop server - server.stop() - - -def _wait_for_server(url: str, timeout: float = 10.0) -> None: - """Wait for the server to be ready.""" - start = time.time() - while time.time() - start < timeout: - try: - response = requests.get(f"{url}/health", timeout=1) - if response.status_code == 200: - return - except requests.RequestException: - pass - time.sleep(0.1) - raise RuntimeError(f"Server at {url} did not become ready in {timeout}s") - - -def _create_tasks(server_url: str, test_name: str) -> list[BenchmarkTask]: - """Create benchmark tasks.""" - tasks = [] - - # Use a session for connection pooling to avoid port exhaustion - session = requests.Session() - - # Task 1: High CPU (compute hash) - def cpu_bound(): - response = session.post( - f"{server_url}/api/compute-hash", - json={"data": "sensitive-data-to-hash", "iterations": 1000}, - timeout=30, - ) - response.raise_for_status() - return response.json() - - tasks.append( - BenchmarkTask( - name=f"High CPU: POST /api/compute-hash ({test_name})", - func=cpu_bound, - ) - ) - - # Task 2: High IO, Low CPU - def io_bound(): - response = session.post( - f"{server_url}/api/io-bound", - json={"jobs": 5, "delayMs": 5}, - timeout=30, - ) - response.raise_for_status() - return response.json() - - tasks.append( - BenchmarkTask( - name=f"High IO, Low CPU: POST /api/io-bound ({test_name})", - func=io_bound, - ) - ) - - # Task 3: Transform endpoints (cycling through sensitive data endpoints) - transform_endpoints = [ - { - "path": "/api/auth/login", - "body": {"email": "user@example.com", "password": "super-secret-password-123"}, - }, - { - "path": "/api/users", - "body": { - "username": "testuser", - "email": "test@example.com", - "ssn": "123-45-6789", - "creditCard": "4111-1111-1111-1111", - }, - }, - ] - endpoint_index = [0] # Use list to allow mutation in closure - - def transform_task(): - endpoint = transform_endpoints[endpoint_index[0] % len(transform_endpoints)] - endpoint_index[0] += 1 - response = session.post( - f"{server_url}{endpoint['path']}", - json=endpoint["body"], - timeout=30, - ) - response.raise_for_status() - return response.json() - - tasks.append( - BenchmarkTask( - name=f"Transform endpoints ({test_name})", - func=transform_task, - ) - ) - - return tasks - - -if __name__ == "__main__": - # Quick test run - run_benchmarks(label="test-run", options={"time_per_task_ms": 3000}) diff --git a/benchmarks/bench/fixed_qps_latency.py b/benchmarks/bench/fixed_qps_latency.py deleted file mode 100644 index 709f7a2..0000000 --- a/benchmarks/bench/fixed_qps_latency.py +++ /dev/null @@ -1,263 +0,0 @@ -#!/usr/bin/env python3 -"""Benchmark: Fixed QPS Latency Test. - -This benchmark measures latency at fixed request rates (QPS) to show -how the SDK affects response times under controlled load. - -Unlike throughput tests that blast requests as fast as possible, this -sends requests at a steady rate to measure realistic latency impact. -""" - -from __future__ import annotations - -import json -import os -import subprocess -import sys -from pathlib import Path - - -def run_fixed_qps_benchmark( - mode: str, target_qps: int, duration_seconds: int = 10, sampling_rate: float = 1.0 -) -> dict | None: - """Run benchmark at a fixed QPS in a subprocess.""" - - script = f''' -import os -import sys -import time -import shutil -import statistics -import threading -from pathlib import Path - -os.environ["TUSK_DRIFT_MODE"] = "{mode}" -sys.path.insert(0, "{os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))}") - -import requests - -TRACE_DIR = Path("{Path(__file__).parent.parent / ".benchmark-traces-qps"}") -if TRACE_DIR.exists(): - shutil.rmtree(TRACE_DIR) - -if "{mode}" == "RECORD": - from drift import TuskDrift - from drift.core.tracing.adapters.filesystem import FilesystemSpanAdapter - - sdk = TuskDrift.initialize( - api_key="benchmark-test-key", - env="benchmark", - sampling_rate={sampling_rate}, - log_level="warn", - ) - if sdk.span_exporter: - sdk.span_exporter.clear_adapters() - adapter = FilesystemSpanAdapter(base_directory=TRACE_DIR) - sdk.span_exporter.add_adapter(adapter) - sdk.mark_app_as_ready() - -from benchmarks.server.test_server import TestServer - -# Start server -server = TestServer() -server_info = server.start() -server_url = server_info["url"] -time.sleep(0.5) - -session = requests.Session() - -# Warmup -for _ in range(20): - session.post(f"{{server_url}}/api/realistic", json={{"userId": "warmup", "query": "test"}}) - -# Fixed QPS parameters -target_qps = {target_qps} -duration_seconds = {duration_seconds} -interval = 1.0 / target_qps # Time between requests - -latencies = [] -start_time = time.perf_counter() -request_count = 0 -target_requests = target_qps * duration_seconds - -while request_count < target_requests: - # Calculate when this request should start - expected_start = start_time + (request_count * interval) - now = time.perf_counter() - - # Wait if we're ahead of schedule - if now < expected_start: - time.sleep(expected_start - now) - - # Make request and measure latency - req_start = time.perf_counter_ns() - response = session.post( - f"{{server_url}}/api/realistic", - json={{"userId": f"user-{{request_count}}", "query": "search query", "email": "test@example.com"}}, - ) - response.json() - latencies.append(time.perf_counter_ns() - req_start) - request_count += 1 - -elapsed = time.perf_counter() - start_time -actual_qps = request_count / elapsed - -# Calculate statistics -sorted_latencies = sorted(latencies) -results = {{ - "target_qps": target_qps, - "actual_qps": round(actual_qps, 1), - "total_requests": request_count, - "duration_seconds": round(elapsed, 2), - "mean_ms": statistics.mean(latencies) / 1_000_000, - "p50_ms": sorted_latencies[len(sorted_latencies) // 2] / 1_000_000, - "p90_ms": sorted_latencies[int(len(sorted_latencies) * 0.90)] / 1_000_000, - "p99_ms": sorted_latencies[int(len(sorted_latencies) * 0.99)] / 1_000_000, - "min_ms": min(latencies) / 1_000_000, - "max_ms": max(latencies) / 1_000_000, -}} - -session.close() -server.stop() - -if "{mode}" == "RECORD": - sdk.shutdown() - -import json -print("RESULTS_JSON:" + json.dumps(results)) -''' - - result = subprocess.run( - [sys.executable, "-c", script], - capture_output=True, - text=True, - cwd=os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))), - timeout=180, - ) - - if result.returncode != 0: - print(f"Error running benchmark ({mode}, {target_qps} QPS):") - print(result.stderr[-1000:]) - return None - - for line in result.stdout.split("\n"): - if line.startswith("RESULTS_JSON:"): - return json.loads(line.replace("RESULTS_JSON:", "")) - - print("Could not find results in output") - return None - - -def main(): - print("=" * 70) - print("Fixed QPS Latency Benchmark") - print("=" * 70) - print() - print("This test sends requests at a fixed rate to measure latency impact.") - print("Endpoint: POST /api/realistic (~10-15ms baseline)") - print() - - # Test at multiple QPS levels (duration configurable via BENCHMARK_QPS_DURATION env var) - qps_levels = [25, 50, 75] # Requests per second - try: - duration = int(os.environ.get("BENCHMARK_QPS_DURATION", "10")) - except ValueError: - duration = 10 # Fall back to default on invalid input - - results = {"baseline": {}, "sdk_100": {}, "sdk_10": {}} - - for qps in qps_levels: - print(f"Testing at {qps} QPS...") - - # Baseline - print(" Running baseline (SDK disabled)...") - baseline = run_fixed_qps_benchmark("DISABLED", qps, duration) - if baseline: - results["baseline"][qps] = baseline - print(f" Mean: {baseline['mean_ms']:.1f}ms, p99: {baseline['p99_ms']:.1f}ms") - - # SDK 100% - print(" Running SDK (100% sampling)...") - sdk_100 = run_fixed_qps_benchmark("RECORD", qps, duration, sampling_rate=1.0) - if sdk_100: - results["sdk_100"][qps] = sdk_100 - print(f" Mean: {sdk_100['mean_ms']:.1f}ms, p99: {sdk_100['p99_ms']:.1f}ms") - - # SDK 10% - print(" Running SDK (10% sampling)...") - sdk_10 = run_fixed_qps_benchmark("RECORD", qps, duration, sampling_rate=0.1) - if sdk_10: - results["sdk_10"][qps] = sdk_10 - print(f" Mean: {sdk_10['mean_ms']:.1f}ms, p99: {sdk_10['p99_ms']:.1f}ms") - - print() - - # Print summary table - print("=" * 70) - print("Results Summary: Latency at Fixed QPS") - print("=" * 70) - print() - - print("### Mean Latency (ms)") - print() - print("| QPS | Baseline | SDK (100%) | Overhead | SDK (10%) | Overhead |") - print("|-----|----------|------------|----------|-----------|----------|") - - for qps in qps_levels: - b = results["baseline"].get(qps, {}) - s100 = results["sdk_100"].get(qps, {}) - s10 = results["sdk_10"].get(qps, {}) - - if b and s100 and s10: - b_mean = b["mean_ms"] - s100_mean = s100["mean_ms"] - s10_mean = s10["mean_ms"] - - overhead_100 = s100_mean - b_mean - overhead_10 = s10_mean - b_mean - pct_100 = (overhead_100 / b_mean) * 100 if b_mean > 0 else 0 - pct_10 = (overhead_10 / b_mean) * 100 if b_mean > 0 else 0 - - print( - f"| {qps} | {b_mean:.1f}ms | {s100_mean:.1f}ms | +{overhead_100:.1f}ms ({pct_100:+.0f}%) | {s10_mean:.1f}ms | +{overhead_10:.1f}ms ({pct_10:+.0f}%) |" - ) - - print() - print("### P99 Latency (ms)") - print() - print("| QPS | Baseline | SDK (100%) | Overhead | SDK (10%) | Overhead |") - print("|-----|----------|------------|----------|-----------|----------|") - - for qps in qps_levels: - b = results["baseline"].get(qps, {}) - s100 = results["sdk_100"].get(qps, {}) - s10 = results["sdk_10"].get(qps, {}) - - if b and s100 and s10: - b_p99 = b["p99_ms"] - s100_p99 = s100["p99_ms"] - s10_p99 = s10["p99_ms"] - - overhead_100 = s100_p99 - b_p99 - overhead_10 = s10_p99 - b_p99 - pct_100 = (overhead_100 / b_p99) * 100 if b_p99 > 0 else 0 - pct_10 = (overhead_10 / b_p99) * 100 if b_p99 > 0 else 0 - - print( - f"| {qps} | {b_p99:.1f}ms | {s100_p99:.1f}ms | +{overhead_100:.1f}ms ({pct_100:+.0f}%) | {s10_p99:.1f}ms | +{overhead_10:.1f}ms ({pct_10:+.0f}%) |" - ) - - print() - - # Save results - results_dir = Path(__file__).parent.parent / "results" - results_dir.mkdir(exist_ok=True) - - with open(results_dir / "fixed-qps-latency.json", "w") as f: - json.dump(results, f, indent=2) - - print(f"Results saved to {results_dir / 'fixed-qps-latency.json'}") - - -if __name__ == "__main__": - main() diff --git a/benchmarks/bench/realistic_workload.py b/benchmarks/bench/realistic_workload.py deleted file mode 100644 index 53daa04..0000000 --- a/benchmarks/bench/realistic_workload.py +++ /dev/null @@ -1,305 +0,0 @@ -#!/usr/bin/env python3 -"""Benchmark: Realistic workload comparison. - -This benchmark tests SDK overhead on realistic API workloads: -1. Typical read endpoint (~5-10ms baseline) -2. Typical write endpoint (~15-25ms baseline) -3. Realistic mixed workload (~10-20ms baseline) - -These simulate production APIs that do actual work (I/O, validation, processing). -""" - -from __future__ import annotations - -import json -import os -import subprocess -import sys -from pathlib import Path - - -def run_benchmark_subprocess(mode: str, sampling_rate: float = 1.0) -> dict | None: - """Run benchmark in a subprocess to ensure clean SDK state.""" - - script = f''' -import os -import sys -import time -import shutil -import statistics -from pathlib import Path - -# Configure SDK mode -os.environ["TUSK_DRIFT_MODE"] = "{mode}" -sys.path.insert(0, "{os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))}") - -import requests - -TRACE_DIR = Path("{Path(__file__).parent.parent / ".benchmark-traces-realistic"}") -if TRACE_DIR.exists(): - shutil.rmtree(TRACE_DIR) - -if "{mode}" == "RECORD": - from drift import TuskDrift - from drift.core.tracing.adapters.filesystem import FilesystemSpanAdapter - - sdk = TuskDrift.initialize( - api_key="benchmark-test-key", - env="benchmark", - sampling_rate={sampling_rate}, - log_level="warn", - ) - if sdk.span_exporter: - sdk.span_exporter.clear_adapters() - adapter = FilesystemSpanAdapter(base_directory=TRACE_DIR) - sdk.span_exporter.add_adapter(adapter) - sdk.mark_app_as_ready() - -from benchmarks.server.test_server import TestServer - -# Start server -server = TestServer() -server_info = server.start() -server_url = server_info["url"] - -# Wait for server -time.sleep(0.5) -session = requests.Session() - -# Warmup -for _ in range(10): - session.get(f"{{server_url}}/api/typical-read") - session.post(f"{{server_url}}/api/typical-write", json={{"name": "test"}}) - session.post(f"{{server_url}}/api/realistic", json={{"userId": "u1", "query": "test"}}) - -# Benchmark parameters (configurable via BENCHMARK_ITERATIONS env var) -try: - iterations = int(os.environ.get("BENCHMARK_ITERATIONS", "200")) -except ValueError: - iterations = 200 # Fall back to default on invalid input -results = {{}} - -# Test 1: Typical Read (~5-10ms baseline) -latencies = [] -for _ in range(iterations): - start = time.perf_counter_ns() - response = session.get(f"{{server_url}}/api/typical-read") - response.json() - latencies.append(time.perf_counter_ns() - start) - -results["typical_read"] = {{ - "mean_ms": statistics.mean(latencies) / 1_000_000, - "p50_ms": statistics.median(latencies) / 1_000_000, - "p99_ms": sorted(latencies)[int(len(latencies) * 0.99)] / 1_000_000, - "samples": len(latencies), -}} - -# Test 2: Typical Write (~15-25ms baseline) -latencies = [] -for i in range(iterations): - start = time.perf_counter_ns() - response = session.post(f"{{server_url}}/api/typical-write", json={{"name": f"item-{{i}}"}}) - response.json() - latencies.append(time.perf_counter_ns() - start) - -results["typical_write"] = {{ - "mean_ms": statistics.mean(latencies) / 1_000_000, - "p50_ms": statistics.median(latencies) / 1_000_000, - "p99_ms": sorted(latencies)[int(len(latencies) * 0.99)] / 1_000_000, - "samples": len(latencies), -}} - -# Test 3: Realistic Mixed (~10-20ms baseline) -latencies = [] -for i in range(iterations): - start = time.perf_counter_ns() - response = session.post( - f"{{server_url}}/api/realistic", - json={{"userId": f"user-{{i}}", "query": "search query", "email": "test@example.com"}}, - ) - response.json() - latencies.append(time.perf_counter_ns() - start) - -results["realistic_mixed"] = {{ - "mean_ms": statistics.mean(latencies) / 1_000_000, - "p50_ms": statistics.median(latencies) / 1_000_000, - "p99_ms": sorted(latencies)[int(len(latencies) * 0.99)] / 1_000_000, - "samples": len(latencies), -}} - -# Cleanup -session.close() -server.stop() - -if "{mode}" == "RECORD": - sdk.shutdown() - -import json -print("RESULTS_JSON:" + json.dumps(results)) -''' - - result = subprocess.run( - [sys.executable, "-c", script], - capture_output=True, - text=True, - cwd=os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))), - timeout=120, - ) - - if result.returncode != 0: - print(f"Error running benchmark ({mode}):") - print(result.stderr) - return None - - # Extract results from output - for line in result.stdout.split("\n"): - if line.startswith("RESULTS_JSON:"): - return json.loads(line.replace("RESULTS_JSON:", "")) - - print(f"Could not find results in output for {mode}") - print(result.stdout[-500:]) - return None - - -def format_comparison(baseline: dict, sdk_on: dict) -> dict: - """Calculate overhead percentages.""" - comparison = {} - for key in baseline: - b_mean = baseline[key]["mean_ms"] - s_mean = sdk_on[key]["mean_ms"] - b_p99 = baseline[key]["p99_ms"] - s_p99 = sdk_on[key]["p99_ms"] - - comparison[key] = { - "baseline_mean_ms": b_mean, - "sdk_mean_ms": s_mean, - "mean_overhead_ms": s_mean - b_mean, - "mean_overhead_pct": ((s_mean - b_mean) / b_mean) * 100 if b_mean > 0 else 0, - "baseline_p99_ms": b_p99, - "sdk_p99_ms": s_p99, - "p99_overhead_ms": s_p99 - b_p99, - "p99_overhead_pct": ((s_p99 - b_p99) / b_p99) * 100 if b_p99 > 0 else 0, - } - return comparison - - -def main(): - print("=" * 60) - print("Realistic Workload Benchmark") - print("=" * 60) - print() - - # Run baseline (SDK disabled) - print("Running baseline (SDK disabled)...") - baseline = run_benchmark_subprocess("DISABLED") - if not baseline: - print("Failed to run baseline benchmark") - return - - print( - f" Typical Read: {baseline['typical_read']['mean_ms']:.2f}ms mean, {baseline['typical_read']['p99_ms']:.2f}ms p99" - ) - print( - f" Typical Write: {baseline['typical_write']['mean_ms']:.2f}ms mean, {baseline['typical_write']['p99_ms']:.2f}ms p99" - ) - print( - f" Realistic Mixed: {baseline['realistic_mixed']['mean_ms']:.2f}ms mean, {baseline['realistic_mixed']['p99_ms']:.2f}ms p99" - ) - print() - - # Run with SDK (100% sampling) - print("Running with SDK (100% sampling)...") - sdk_100 = run_benchmark_subprocess("RECORD", sampling_rate=1.0) - if not sdk_100: - print("Failed to run SDK benchmark") - return - - print( - f" Typical Read: {sdk_100['typical_read']['mean_ms']:.2f}ms mean, {sdk_100['typical_read']['p99_ms']:.2f}ms p99" - ) - print( - f" Typical Write: {sdk_100['typical_write']['mean_ms']:.2f}ms mean, {sdk_100['typical_write']['p99_ms']:.2f}ms p99" - ) - print( - f" Realistic Mixed: {sdk_100['realistic_mixed']['mean_ms']:.2f}ms mean, {sdk_100['realistic_mixed']['p99_ms']:.2f}ms p99" - ) - print() - - # Run with SDK (10% sampling) - print("Running with SDK (10% sampling)...") - sdk_10 = run_benchmark_subprocess("RECORD", sampling_rate=0.1) - if not sdk_10: - print("Failed to run SDK 10% benchmark") - return - - print( - f" Typical Read: {sdk_10['typical_read']['mean_ms']:.2f}ms mean, {sdk_10['typical_read']['p99_ms']:.2f}ms p99" - ) - print( - f" Typical Write: {sdk_10['typical_write']['mean_ms']:.2f}ms mean, {sdk_10['typical_write']['p99_ms']:.2f}ms p99" - ) - print( - f" Realistic Mixed: {sdk_10['realistic_mixed']['mean_ms']:.2f}ms mean, {sdk_10['realistic_mixed']['p99_ms']:.2f}ms p99" - ) - print() - - # Calculate and display comparisons - comparison_100 = format_comparison(baseline, sdk_100) - comparison_10 = format_comparison(baseline, sdk_10) - - print("=" * 60) - print("Results Summary") - print("=" * 60) - print() - - print("## SDK Overhead on Realistic Workloads") - print() - print("| Endpoint | Baseline | SDK (100%) | Overhead | SDK (10%) | Overhead |") - print("|----------|----------|------------|----------|-----------|----------|") - - for key, label in [ - ("typical_read", "Read API (~5ms)"), - ("typical_write", "Write API (~15ms)"), - ("realistic_mixed", "Mixed API (~10ms)"), - ]: - c100 = comparison_100[key] - c10 = comparison_10[key] - print( - f"| {label} | {c100['baseline_mean_ms']:.1f}ms | {c100['sdk_mean_ms']:.1f}ms | +{c100['mean_overhead_ms']:.1f}ms ({c100['mean_overhead_pct']:+.1f}%) | {c10['sdk_mean_ms']:.1f}ms | +{c10['mean_overhead_ms']:.1f}ms ({c10['mean_overhead_pct']:+.1f}%) |" - ) - - print() - print("## P99 Latency Impact") - print() - print("| Endpoint | Baseline p99 | SDK (100%) p99 | SDK (10%) p99 |") - print("|----------|--------------|----------------|---------------|") - - for key, label in [("typical_read", "Read API"), ("typical_write", "Write API"), ("realistic_mixed", "Mixed API")]: - c100 = comparison_100[key] - c10 = comparison_10[key] - print( - f"| {label} | {c100['baseline_p99_ms']:.1f}ms | {c100['sdk_p99_ms']:.1f}ms (+{c100['p99_overhead_pct']:.1f}%) | {c10['sdk_p99_ms']:.1f}ms (+{c10['p99_overhead_pct']:.1f}%) |" - ) - - print() - - # Save results - results_dir = Path(__file__).parent.parent / "results" - results_dir.mkdir(exist_ok=True) - - results = { - "baseline": baseline, - "sdk_100_percent": sdk_100, - "sdk_10_percent": sdk_10, - "comparison_100": comparison_100, - "comparison_10": comparison_10, - } - - with open(results_dir / "realistic-workload.json", "w") as f: - json.dump(results, f, indent=2) - - print(f"Results saved to {results_dir / 'realistic-workload.json'}") - - -if __name__ == "__main__": - main() diff --git a/benchmarks/bench/resource_monitor.py b/benchmarks/bench/resource_monitor.py deleted file mode 100644 index 8572d24..0000000 --- a/benchmarks/bench/resource_monitor.py +++ /dev/null @@ -1,208 +0,0 @@ -"""Resource monitoring for benchmarks - tracks CPU and memory usage.""" - -from __future__ import annotations - -import resource -import threading -import time -from dataclasses import dataclass, field -from typing import Any - - -@dataclass -class CpuStats: - """CPU usage statistics.""" - - user_percent: float = 0.0 - system_percent: float = 0.0 - total_percent: float = 0.0 - - -@dataclass -class MemoryStats: - """Memory usage statistics.""" - - rss_avg: float = 0.0 - rss_max: float = 0.0 - - -@dataclass -class TaskResourceStats: - """Resource statistics for a single task.""" - - cpu: CpuStats = field(default_factory=CpuStats) - memory: MemoryStats = field(default_factory=MemoryStats) - - -@dataclass -class TaskStats: - """Internal tracking for a task.""" - - rss_sum: float = 0.0 - rss_max: float = 0.0 - start_user_time: float = 0.0 - start_system_time: float = 0.0 - start_time: float = 0.0 - sample_count: int = 0 - - -class ResourceMonitor: - """Monitor CPU and memory usage during benchmark tasks.""" - - def __init__(self, interval_ms: int = 100, enable_memory_tracking: bool = True): - self.interval_ms = interval_ms - self.enable_memory_tracking = enable_memory_tracking - - self._task_stats: dict[str, TaskStats] = {} - self._completed_stats: dict[str, TaskResourceStats] = {} - self._current_task_name: str | None = None - self._current_task_stats: TaskStats | None = None - self._is_running = False - self._monitor_thread: threading.Thread | None = None - self._stop_event = threading.Event() - - def start(self) -> None: - """Start the resource monitor.""" - self._is_running = True - self._stop_event.clear() - - if self.enable_memory_tracking: - self._monitor_thread = threading.Thread(target=self._monitor_loop, daemon=True) - self._monitor_thread.start() - - def stop(self) -> None: - """Stop the resource monitor.""" - self._is_running = False - self._stop_event.set() - if self._monitor_thread: - self._monitor_thread.join(timeout=1) - self._monitor_thread = None - - def start_task(self, task_name: str) -> None: - """Start monitoring a new task.""" - self._current_task_name = task_name - - # Get current CPU times - usage = resource.getrusage(resource.RUSAGE_SELF) - - task_stats = TaskStats( - start_user_time=usage.ru_utime, - start_system_time=usage.ru_stime, - start_time=time.time(), - ) - self._task_stats[task_name] = task_stats - self._current_task_stats = task_stats - - def end_task(self) -> None: - """End monitoring the current task.""" - if not self._current_task_name or not self._current_task_stats: - return - - end_time = time.time() - total_elapsed = end_time - self._current_task_stats.start_time - - # Get final CPU times - usage = resource.getrusage(resource.RUSAGE_SELF) - user_time = usage.ru_utime - self._current_task_stats.start_user_time - system_time = usage.ru_stime - self._current_task_stats.start_system_time - - # Calculate CPU percentages - if total_elapsed > 0: - user_percent = (user_time / total_elapsed) * 100 - system_percent = (system_time / total_elapsed) * 100 - else: - user_percent = 0.0 - system_percent = 0.0 - - total_percent = user_percent + system_percent - - # Calculate memory stats - if self._current_task_stats.sample_count > 0: - rss_avg = self._current_task_stats.rss_sum / self._current_task_stats.sample_count - rss_max = self._current_task_stats.rss_max - else: - rss_avg = 0.0 - rss_max = 0.0 - - resource_stats = TaskResourceStats( - cpu=CpuStats( - user_percent=user_percent, - system_percent=system_percent, - total_percent=total_percent, - ), - memory=MemoryStats( - rss_avg=rss_avg, - rss_max=rss_max, - ), - ) - - self._completed_stats[self._current_task_name] = resource_stats - self._current_task_name = None - self._current_task_stats = None - - def _monitor_loop(self) -> None: - """Background thread for collecting memory samples.""" - while not self._stop_event.wait(self.interval_ms / 1000): - self._collect_memory_sample() - - def _collect_memory_sample(self) -> None: - """Collect a memory usage sample.""" - if not self._is_running: - return - - # Take a local snapshot to avoid race condition where another thread - # sets _current_task_stats to None between check and usage - task_stats = self._current_task_stats - if task_stats is None: - return - - # Get RSS from resource module (in bytes on macOS, kilobytes on Linux) - usage = resource.getrusage(resource.RUSAGE_SELF) - # ru_maxrss is in bytes on macOS, kilobytes on Linux - import sys - - if sys.platform == "darwin": - rss = usage.ru_maxrss # Already in bytes - else: - rss = usage.ru_maxrss * 1024 # Convert KB to bytes - - # For more accurate current RSS, try to use /proc on Linux - try: - with open("/proc/self/statm") as f: - # statm gives pages, page size is typically 4096 - pages = int(f.read().split()[1]) - rss = pages * 4096 - except (FileNotFoundError, PermissionError): - pass # Use ru_maxrss fallback - - task_stats.rss_sum += rss - task_stats.rss_max = max(task_stats.rss_max, rss) - task_stats.sample_count += 1 - - def get_task_stats(self, task_name: str) -> TaskResourceStats | None: - """Get resource statistics for a completed task.""" - return self._completed_stats.get(task_name) - - def get_all_task_names(self) -> list[str]: - """Get names of all completed tasks.""" - return list(self._completed_stats.keys()) - - def to_dict(self, task_name: str) -> dict[str, Any] | None: - """Get task stats as a dictionary.""" - stats = self.get_task_stats(task_name) - if not stats: - return None - - return { - "cpu": { - "userPercent": stats.cpu.user_percent, - "systemPercent": stats.cpu.system_percent, - "totalPercent": stats.cpu.total_percent, - }, - "memory": { - "rss": { - "avg": stats.memory.rss_avg, - "max": stats.memory.rss_max, - }, - }, - } diff --git a/benchmarks/bench/result_utils.py b/benchmarks/bench/result_utils.py deleted file mode 100644 index d581ab6..0000000 --- a/benchmarks/bench/result_utils.py +++ /dev/null @@ -1,337 +0,0 @@ -"""Result utilities for benchmarks - serialization and comparison.""" - -from __future__ import annotations - -import json -import os -import platform -import statistics -import uuid -from dataclasses import dataclass, field -from datetime import datetime, timezone -from pathlib import Path -from typing import Any - -from .resource_monitor import ResourceMonitor - -RESULTS_DIR = Path(__file__).parent.parent / "results" - - -@dataclass -class MetricSummary: - """Summary statistics for a metric.""" - - unit: str # "ns" or "ops/s" - mean: float | None = None - median: float | None = None - min: float | None = None - max: float | None = None - std_dev: float | None = None - p99: float | None = None - samples: int = 0 - - -@dataclass -class HistogramBucket: - """A histogram bucket.""" - - min_ns: float - max_ns: float - count: int - - -@dataclass -class TaskBenchmarkResult: - """Benchmark result for a single task.""" - - name: str - samples: int - latency: MetricSummary - throughput: MetricSummary - resource: dict[str, Any] | None = None - histogram: list[HistogramBucket] | None = None - - -@dataclass -class SystemInfo: - """System information.""" - - python_version: str - platform_name: str - arch: str - cpu_count: int - total_memory: int - load_average: list[float] - - -@dataclass -class BenchmarkRunResult: - """Complete benchmark run result.""" - - id: str - label: str - timestamp: str - duration_ms: float - options: dict[str, Any] - system: SystemInfo - tasks: list[TaskBenchmarkResult] = field(default_factory=list) - - -def get_system_info() -> SystemInfo: - """Collect system information.""" - import psutil # ty:ignore[unresolved-import] - - return SystemInfo( - python_version=platform.python_version(), - platform_name=platform.system().lower(), - arch=platform.machine(), - cpu_count=os.cpu_count() or 1, - total_memory=psutil.virtual_memory().total, - load_average=list(os.getloadavg()) if hasattr(os, "getloadavg") else [0.0, 0.0, 0.0], - ) - - -def build_latency_summary(samples_ns: list[float]) -> MetricSummary: - """Build latency summary from samples (in nanoseconds).""" - if not samples_ns: - return MetricSummary(unit="ns", samples=0) - - sorted_samples = sorted(samples_ns) - n = len(sorted_samples) - - # Calculate p99 - p99_idx = int(n * 0.99) - p99 = sorted_samples[min(p99_idx, n - 1)] - - return MetricSummary( - unit="ns", - mean=statistics.mean(samples_ns), - median=statistics.median(samples_ns), - min=min(samples_ns), - max=max(samples_ns), - std_dev=statistics.stdev(samples_ns) if len(samples_ns) > 1 else 0.0, - p99=p99, - samples=n, - ) - - -def build_throughput_summary(samples_ns: list[float]) -> MetricSummary: - """Build throughput summary (ops/s) from latency samples (ns).""" - if not samples_ns: - return MetricSummary(unit="ops/s", samples=0) - - # Convert ns latencies to ops/s - ops_per_sec = [1_000_000_000 / ns if ns > 0 else 0 for ns in samples_ns] - - return MetricSummary( - unit="ops/s", - mean=statistics.mean(ops_per_sec), - median=statistics.median(ops_per_sec), - min=min(ops_per_sec), - max=max(ops_per_sec), - std_dev=statistics.stdev(ops_per_sec) if len(ops_per_sec) > 1 else 0.0, - samples=len(ops_per_sec), - ) - - -def build_histogram(samples_ns: list[float], bucket_count: int = 20) -> list[HistogramBucket]: - """Build a histogram from latency samples.""" - if not samples_ns: - return [] - - sorted_samples = sorted(samples_ns) - min_val = sorted_samples[0] - max_val = sorted_samples[-1] - - if min_val == max_val: - return [HistogramBucket(min_ns=min_val, max_ns=max_val, count=len(samples_ns))] - - bucket_size = (max_val - min_val) / bucket_count - counts = [0] * bucket_count - - for sample in samples_ns: - idx = int((sample - min_val) / bucket_size) - idx = min(idx, bucket_count - 1) - counts[idx] += 1 - - buckets = [] - for i, count in enumerate(counts): - bucket_min = min_val + i * bucket_size - bucket_max = max_val if i == bucket_count - 1 else min_val + (i + 1) * bucket_size - buckets.append(HistogramBucket(min_ns=bucket_min, max_ns=bucket_max, count=count)) - - return buckets - - -def create_task_result( - name: str, - samples_ns: list[float], - resource_monitor: ResourceMonitor, -) -> TaskBenchmarkResult: - """Create a task benchmark result from raw samples.""" - return TaskBenchmarkResult( - name=name, - samples=len(samples_ns), - latency=build_latency_summary(samples_ns), - throughput=build_throughput_summary(samples_ns), - resource=resource_monitor.to_dict(name), - histogram=build_histogram(samples_ns), - ) - - -def create_benchmark_result( - label: str, - tasks: list[TaskBenchmarkResult], - duration_ms: float, - options: dict[str, Any], -) -> BenchmarkRunResult: - """Create a complete benchmark run result.""" - return BenchmarkRunResult( - id=str(uuid.uuid4()), - label=label, - timestamp=datetime.now(timezone.utc).isoformat(), - duration_ms=duration_ms, - options=options, - system=get_system_info(), - tasks=tasks, - ) - - -def metric_to_dict(metric: MetricSummary) -> dict[str, Any]: - """Convert MetricSummary to dict.""" - return { - "unit": metric.unit, - "mean": metric.mean, - "median": metric.median, - "min": metric.min, - "max": metric.max, - "standardDeviation": metric.std_dev, - "p99": metric.p99, - "samples": metric.samples, - } - - -def task_to_dict(task: TaskBenchmarkResult) -> dict[str, Any]: - """Convert TaskBenchmarkResult to dict.""" - result: dict[str, Any] = { - "name": task.name, - "samples": task.samples, - "latency": metric_to_dict(task.latency), - "throughput": metric_to_dict(task.throughput), - } - if task.resource: - result["resource"] = task.resource - if task.histogram: - result["histogram"] = [{"minNs": b.min_ns, "maxNs": b.max_ns, "count": b.count} for b in task.histogram] - return result - - -def result_to_dict(result: BenchmarkRunResult) -> dict[str, Any]: - """Convert BenchmarkRunResult to dict.""" - return { - "id": result.id, - "label": result.label, - "timestamp": result.timestamp, - "durationMs": result.duration_ms, - "options": result.options, - "system": { - "pythonVersion": result.system.python_version, - "platform": result.system.platform_name, - "arch": result.system.arch, - "cpuCount": result.system.cpu_count, - "totalMemory": result.system.total_memory, - "loadAverage": result.system.load_average, - }, - "tasks": [task_to_dict(task) for task in result.tasks], - } - - -def persist_result(result: BenchmarkRunResult) -> Path: - """Save benchmark result to JSON file.""" - RESULTS_DIR.mkdir(parents=True, exist_ok=True) - - sanitized_label = "".join(c if c.isalnum() or c in "-_" else "-" for c in result.label) - filename = f"{sanitized_label}.json" - output_path = RESULTS_DIR / filename - - with open(output_path, "w") as f: - json.dump(result_to_dict(result), f, indent=2) - - return output_path - - -def load_result(label: str) -> BenchmarkRunResult | None: - """Load a benchmark result from JSON file.""" - sanitized_label = "".join(c if c.isalnum() or c in "-_" else "-" for c in label) - filename = f"{sanitized_label}.json" - filepath = RESULTS_DIR / filename - - if not filepath.exists(): - return None - - with open(filepath) as f: - data = json.load(f) - - # Reconstruct the result object - system = SystemInfo( - python_version=data["system"]["pythonVersion"], - platform_name=data["system"]["platform"], - arch=data["system"]["arch"], - cpu_count=data["system"]["cpuCount"], - total_memory=data["system"]["totalMemory"], - load_average=data["system"]["loadAverage"], - ) - - tasks = [] - for task_data in data["tasks"]: - latency = MetricSummary( - unit=task_data["latency"]["unit"], - mean=task_data["latency"].get("mean"), - median=task_data["latency"].get("median"), - min=task_data["latency"].get("min"), - max=task_data["latency"].get("max"), - std_dev=task_data["latency"].get("standardDeviation"), - p99=task_data["latency"].get("p99"), - samples=task_data["latency"].get("samples", 0), - ) - throughput = MetricSummary( - unit=task_data["throughput"]["unit"], - mean=task_data["throughput"].get("mean"), - median=task_data["throughput"].get("median"), - min=task_data["throughput"].get("min"), - max=task_data["throughput"].get("max"), - std_dev=task_data["throughput"].get("standardDeviation"), - samples=task_data["throughput"].get("samples", 0), - ) - - histogram = None - if "histogram" in task_data and task_data["histogram"]: - histogram = [ - HistogramBucket( - min_ns=b["minNs"], - max_ns=b["maxNs"], - count=b["count"], - ) - for b in task_data["histogram"] - ] - - tasks.append( - TaskBenchmarkResult( - name=task_data["name"], - samples=task_data["samples"], - latency=latency, - throughput=throughput, - resource=task_data.get("resource"), - histogram=histogram, - ) - ) - - return BenchmarkRunResult( - id=data["id"], - label=data["label"], - timestamp=data["timestamp"], - duration_ms=data["durationMs"], - options=data["options"], - system=system, - tasks=tasks, - ) diff --git a/benchmarks/bench/sdk_active.py b/benchmarks/bench/sdk_active.py deleted file mode 100644 index 59ffb2e..0000000 --- a/benchmarks/bench/sdk_active.py +++ /dev/null @@ -1,49 +0,0 @@ -#!/usr/bin/env python3 -"""Benchmark: SDK Active (RECORD mode).""" - -import os -import shutil -import sys -from pathlib import Path - -# Set SDK to RECORD mode -os.environ["TUSK_DRIFT_MODE"] = "RECORD" - -# Add project root to path -sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))) - -# Clean up benchmark traces directory -BENCHMARK_TRACE_DIR = Path(__file__).parent.parent / ".benchmark-traces" -if BENCHMARK_TRACE_DIR.exists(): - try: - shutil.rmtree(BENCHMARK_TRACE_DIR) - except Exception as e: - print(f"Warning: Failed to clean benchmark trace directory: {e}") - -# Initialize SDK BEFORE importing common (which imports requests) -from drift import TuskDrift -from drift.core.tracing.adapters.filesystem import FilesystemSpanAdapter - -# Initialize the SDK -sdk = TuskDrift.initialize( - api_key="benchmark-test-key", - env="benchmark", - log_level="warn", # Reduce log noise during benchmarks -) - -# Configure filesystem adapter for traces -if sdk.span_exporter: - sdk.span_exporter.clear_adapters() - adapter = FilesystemSpanAdapter(base_directory=BENCHMARK_TRACE_DIR) - sdk.span_exporter.add_adapter(adapter) - -# Mark app as ready -sdk.mark_app_as_ready() - -from benchmarks.bench.common import run_benchmarks - -if __name__ == "__main__": - try: - run_benchmarks(label="sdk-active") - finally: - sdk.shutdown() diff --git a/benchmarks/bench/sdk_active_with_transforms.py b/benchmarks/bench/sdk_active_with_transforms.py deleted file mode 100644 index dde9428..0000000 --- a/benchmarks/bench/sdk_active_with_transforms.py +++ /dev/null @@ -1,71 +0,0 @@ -#!/usr/bin/env python3 -"""Benchmark: SDK Active with Transforms (RECORD mode + data transformation).""" - -import os -import shutil -import sys -from pathlib import Path - -# Set SDK to RECORD mode -os.environ["TUSK_DRIFT_MODE"] = "RECORD" - -# Add project root to path -sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))) - -# Clean up benchmark traces directory -BENCHMARK_TRACE_DIR = Path(__file__).parent.parent / ".benchmark-traces-transforms" -if BENCHMARK_TRACE_DIR.exists(): - try: - shutil.rmtree(BENCHMARK_TRACE_DIR) - except Exception as e: - print(f"Warning: Failed to clean benchmark trace directory: {e}") - -# Initialize SDK BEFORE importing common (which imports requests) -from drift import TuskDrift -from drift.core.tracing.adapters.filesystem import FilesystemSpanAdapter - -# Define transforms to mask sensitive data -transforms = { - "request": { - "body": [ - {"path": "$.password", "action": "redact"}, - {"path": "$.ssn", "action": "redact"}, - {"path": "$.creditCard", "action": "redact"}, - {"path": "$.email", "action": "hash"}, - ], - }, - "response": { - "body": [ - {"path": "$.token", "action": "redact"}, - {"path": "$.user.email", "action": "hash"}, - {"path": "$.profile.ssn", "action": "redact"}, - {"path": "$.profile.creditCard", "action": "redact"}, - {"path": "$.profile.email", "action": "hash"}, - ], - }, -} - -# Initialize the SDK with transforms -sdk = TuskDrift.initialize( - api_key="benchmark-test-key", - env="benchmark", - transforms=transforms, - log_level="warn", # Reduce log noise during benchmarks -) - -# Configure filesystem adapter for traces -if sdk.span_exporter: - sdk.span_exporter.clear_adapters() - adapter = FilesystemSpanAdapter(base_directory=BENCHMARK_TRACE_DIR) - sdk.span_exporter.add_adapter(adapter) - -# Mark app as ready -sdk.mark_app_as_ready() - -from benchmarks.bench.common import run_benchmarks - -if __name__ == "__main__": - try: - run_benchmarks(label="sdk-active-with-transforms") - finally: - sdk.shutdown() diff --git a/benchmarks/bench/sdk_disabled.py b/benchmarks/bench/sdk_disabled.py deleted file mode 100644 index 845c2b5..0000000 --- a/benchmarks/bench/sdk_disabled.py +++ /dev/null @@ -1,16 +0,0 @@ -#!/usr/bin/env python3 -"""Benchmark: SDK Disabled (baseline).""" - -import os -import sys - -# Ensure SDK is disabled -os.environ["TUSK_DRIFT_MODE"] = "DISABLED" - -# Add project root to path -sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))) - -from benchmarks.bench.common import run_benchmarks - -if __name__ == "__main__": - run_benchmarks(label="sdk-disabled") diff --git a/benchmarks/bench/sdk_sampling_rates.py b/benchmarks/bench/sdk_sampling_rates.py deleted file mode 100644 index 9a65d4b..0000000 --- a/benchmarks/bench/sdk_sampling_rates.py +++ /dev/null @@ -1,110 +0,0 @@ -#!/usr/bin/env python3 -"""Benchmark: SDK with different sampling rates.""" - -from __future__ import annotations - -import os -import shutil -import sys -from pathlib import Path - -# Set SDK to RECORD mode -os.environ["TUSK_DRIFT_MODE"] = "RECORD" - -# Add project root to path -sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))) - -# Clean up benchmark traces directory -BENCHMARK_TRACE_DIR = Path(__file__).parent.parent / ".benchmark-traces-sampling" - - -def run_with_sampling_rate(sampling_rate: float) -> dict | None: - """Run benchmark with a specific sampling rate.""" - # Clean traces directory - if BENCHMARK_TRACE_DIR.exists(): - try: - shutil.rmtree(BENCHMARK_TRACE_DIR) - except Exception as e: - print(f"Warning: Failed to clean benchmark trace directory: {e}") - - # We need to reset the SDK for each sampling rate test - # This requires a fresh Python process, so we'll use subprocess - import subprocess - - result = subprocess.run( - [ - sys.executable, - "-c", - f""" -import os -import sys -import shutil -from pathlib import Path - -os.environ["TUSK_DRIFT_MODE"] = "RECORD" -sys.path.insert(0, "{os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))}") - -BENCHMARK_TRACE_DIR = Path("{BENCHMARK_TRACE_DIR}") -if BENCHMARK_TRACE_DIR.exists(): - shutil.rmtree(BENCHMARK_TRACE_DIR) - -from drift import TuskDrift -from drift.core.tracing.adapters.filesystem import FilesystemSpanAdapter - -sdk = TuskDrift.initialize( - api_key="benchmark-test-key", - env="benchmark", - sampling_rate={sampling_rate}, - log_level="warning", -) - -if sdk.span_exporter: - sdk.span_exporter.clear_adapters() - adapter = FilesystemSpanAdapter(base_directory=BENCHMARK_TRACE_DIR) - sdk.span_exporter.add_adapter(adapter) - -sdk.mark_app_as_ready() - -from benchmarks.bench.common import run_benchmarks -run_benchmarks(label="sdk-sampling-{int(sampling_rate * 100)}", options={{"time_per_task_ms": 5000, "warmup_iterations": 3}}) - -sdk.shutdown() -""", - ], - capture_output=True, - text=True, - cwd=os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))), - ) - - if result.returncode != 0: - print(f"Error running benchmark with sampling_rate={sampling_rate}:") - print(result.stderr) - return None - - # Print stdout (benchmark output) - print(result.stdout) - - return {"sampling_rate": sampling_rate} - - -def main(): - """Run benchmarks with different sampling rates.""" - sampling_rates = [1.0, 0.5, 0.1, 0.01] - - print("=" * 60) - print("Sampling Rate Impact Benchmarks") - print("=" * 60) - - for rate in sampling_rates: - print(f"\n{'=' * 60}") - print(f"Testing sampling_rate = {rate} ({int(rate * 100)}%)") - print("=" * 60) - run_with_sampling_rate(rate) - - print("\n" + "=" * 60) - print("All sampling rate benchmarks complete!") - print("=" * 60) - - -if __name__ == "__main__": - main() diff --git a/benchmarks/compare_benchmarks.py b/benchmarks/compare_benchmarks.py deleted file mode 100644 index b2d5489..0000000 --- a/benchmarks/compare_benchmarks.py +++ /dev/null @@ -1,275 +0,0 @@ -#!/usr/bin/env python3 -"""Compare benchmark results and generate summary.""" - -from __future__ import annotations - -import sys -from pathlib import Path - -sys.path.insert(0, str(Path(__file__).parent.parent)) - -from benchmarks.bench.result_utils import ( - BenchmarkRunResult, - TaskBenchmarkResult, - load_result, -) - -# Task base names (without the label suffix) -CPU_HEAVY_TASK_BASE = "High CPU: POST /api/compute-hash" -IO_HEAVY_TASK_BASE = "High IO, Low CPU: POST /api/io-bound" -TRANSFORM_TASK_BASE = "Transform endpoints" - - -def find_task_by_base_name(tasks: list[TaskBenchmarkResult], base_name: str) -> TaskBenchmarkResult | None: - """Find a task by its base name (ignoring the label suffix).""" - for task in tasks: - if task.name.startswith(base_name + " ("): - return task - return None - - -def percentage_change(baseline: float | None, variant: float | None) -> float | None: - """Calculate percentage change from baseline to variant.""" - if baseline is None or variant is None or baseline == 0: - return None - return ((variant - baseline) / baseline) * 100 - - -def format_percentage(value: float | None) -> str: - """Format a percentage value.""" - if value is None: - return "n/a" - sign = "+" if value >= 0 else "" - return f"{sign}{value:.1f}%" - - -def format_latency(ns: float | None) -> str: - """Format latency in appropriate units.""" - if ns is None: - return "n/a" - if ns < 1_000: - return f"{ns:.0f} ns" - if ns < 1_000_000: - return f"{ns / 1_000:.2f} μs" - if ns < 1_000_000_000: - return f"{ns / 1_000_000:.2f} ms" - return f"{ns / 1_000_000_000:.2f} s" - - -def format_throughput(value: float | None) -> str: - """Format throughput in ops/s.""" - if value is None: - return "n/a" - return f"{value:,.0f}" - - -def format_bytes(bytes_val: float | None) -> str: - """Format bytes in MB.""" - if bytes_val is None: - return "n/a" - mb = bytes_val / (1024 * 1024) - return f"{mb:.2f} MB" - - -def format_cpu_percent(value: float | None) -> str: - """Format CPU percentage.""" - if value is None: - return "n/a" - return f"{value:.1f}%" - - -def compute_impact( - label: str, - baseline: TaskBenchmarkResult | None, - variant: TaskBenchmarkResult | None, -) -> dict | None: - """Compute impact metrics between baseline and variant.""" - if not baseline or not variant: - return None - - baseline_throughput = baseline.throughput.mean - variant_throughput = variant.throughput.mean - baseline_p99 = baseline.latency.p99 - variant_p99 = variant.latency.p99 - - # CPU stats - baseline_cpu_user = baseline.resource.get("cpu", {}).get("userPercent") if baseline.resource else None - variant_cpu_user = variant.resource.get("cpu", {}).get("userPercent") if variant.resource else None - baseline_cpu_total = baseline.resource.get("cpu", {}).get("totalPercent") if baseline.resource else None - variant_cpu_total = variant.resource.get("cpu", {}).get("totalPercent") if variant.resource else None - - return { - "label": label, - "throughput_delta_pct": percentage_change(baseline_throughput, variant_throughput), - "tail_latency_delta_pct": percentage_change(baseline_p99, variant_p99), - "baseline_throughput": baseline_throughput, - "variant_throughput": variant_throughput, - "baseline_p99": baseline_p99, - "variant_p99": variant_p99, - "cpu_user_delta_pct": percentage_change(baseline_cpu_user, variant_cpu_user), - "baseline_cpu_total": baseline_cpu_total, - "variant_cpu_total": variant_cpu_total, - } - - -def compute_memory_overhead( - baseline: BenchmarkRunResult, - variant: BenchmarkRunResult, -) -> dict: - """Compute memory overhead between baseline and variant.""" - rss_deltas = [] - rss_max_delta = None - - for baseline_task in baseline.tasks: - # Find matching task in variant - base_name = baseline_task.name.rsplit(" (", 1)[0] - variant_task = find_task_by_base_name(variant.tasks, base_name) - - if not variant_task: - continue - - baseline_mem = baseline_task.resource.get("memory", {}) if baseline_task.resource else {} - variant_mem = variant_task.resource.get("memory", {}) if variant_task.resource else {} - - baseline_rss = baseline_mem.get("rss", {}) - variant_rss = variant_mem.get("rss", {}) - - if baseline_rss.get("avg") is not None and variant_rss.get("avg") is not None: - delta = variant_rss["avg"] - baseline_rss["avg"] - rss_deltas.append(delta) - - if baseline_rss.get("max") is not None and variant_rss.get("max") is not None: - delta = variant_rss["max"] - baseline_rss["max"] - if rss_max_delta is None or delta > rss_max_delta: - rss_max_delta = delta - - return { - "avg_rss_delta": sum(rss_deltas) / len(rss_deltas) if rss_deltas else None, - "max_rss_delta": rss_max_delta, - "samples": len(rss_deltas), - } - - -def main(): - """Main comparison function.""" - print("\nLoading benchmark results...") - - baseline = load_result("sdk-disabled") - active = load_result("sdk-active") - transforms = load_result("sdk-active-with-transforms") - - if not baseline: - print("ERROR: sdk-disabled results not found. Run benchmarks first.") - return - if not active: - print("ERROR: sdk-active results not found. Run benchmarks first.") - return - - print(f"\nBaseline: {baseline.label} ({baseline.timestamp})") - print(f"Active: {active.label} ({active.timestamp})") - if transforms: - print(f"Transforms: {transforms.label} ({transforms.timestamp})") - - # Compute impacts - cpu_impact = compute_impact( - CPU_HEAVY_TASK_BASE, - find_task_by_base_name(baseline.tasks, CPU_HEAVY_TASK_BASE), - find_task_by_base_name(active.tasks, CPU_HEAVY_TASK_BASE), - ) - - io_impact = compute_impact( - IO_HEAVY_TASK_BASE, - find_task_by_base_name(baseline.tasks, IO_HEAVY_TASK_BASE), - find_task_by_base_name(active.tasks, IO_HEAVY_TASK_BASE), - ) - - transform_impact = None - if transforms: - transform_impact = compute_impact( - TRANSFORM_TASK_BASE, - find_task_by_base_name(active.tasks, TRANSFORM_TASK_BASE), - find_task_by_base_name(transforms.tasks, TRANSFORM_TASK_BASE), - ) - - # Print performance impact table - print("\n## Benchmark Impact Summary\n") - print("| Workload | Throughput Δ | Tail Latency (p99) Δ | CPU User Δ |") - print("|----------|-------------|----------------------|------------|") - - if cpu_impact: - print( - f"| **CPU-bound** | {format_percentage(cpu_impact['throughput_delta_pct'])} | " - f"{format_percentage(cpu_impact['tail_latency_delta_pct'])} | " - f"{format_percentage(cpu_impact['cpu_user_delta_pct'])} |" - ) - else: - print("| **CPU-bound** | N/A | N/A | N/A |") - - if io_impact: - print( - f"| **IO-bound** | {format_percentage(io_impact['throughput_delta_pct'])} | " - f"{format_percentage(io_impact['tail_latency_delta_pct'])} | " - f"{format_percentage(io_impact['cpu_user_delta_pct'])} |" - ) - else: - print("| **IO-bound** | N/A | N/A | N/A |") - - if transform_impact: - print( - f"| **Transform endpoints** | {format_percentage(transform_impact['throughput_delta_pct'])} | " - f"{format_percentage(transform_impact['tail_latency_delta_pct'])} | " - f"{format_percentage(transform_impact['cpu_user_delta_pct'])} |" - ) - else: - print("| **Transform endpoints** | N/A | N/A | N/A |") - - # Print absolute values table - print("\n## Absolute Values\n") - print("| Workload | Baseline Throughput | Active Throughput | Baseline p99 | Active p99 |") - print("|----------|--------------------|--------------------|--------------|------------|") - - if cpu_impact: - print( - f"| **CPU-bound** | {format_throughput(cpu_impact['baseline_throughput'])} ops/s | " - f"{format_throughput(cpu_impact['variant_throughput'])} ops/s | " - f"{format_latency(cpu_impact['baseline_p99'])} | " - f"{format_latency(cpu_impact['variant_p99'])} |" - ) - - if io_impact: - print( - f"| **IO-bound** | {format_throughput(io_impact['baseline_throughput'])} ops/s | " - f"{format_throughput(io_impact['variant_throughput'])} ops/s | " - f"{format_latency(io_impact['baseline_p99'])} | " - f"{format_latency(io_impact['variant_p99'])} |" - ) - - # Memory overhead - print("\n## Memory Overhead vs Baseline\n") - print("| Configuration | Avg RSS Δ | Max RSS Δ |") - print("|---------------|-----------|-----------|") - - active_memory = compute_memory_overhead(baseline, active) - if active_memory["samples"] > 0: - print( - f"| **SDK Active** | {format_bytes(active_memory['avg_rss_delta'])} | " - f"{format_bytes(active_memory['max_rss_delta'])} |" - ) - else: - print("| **SDK Active** | N/A | N/A |") - - if transforms: - transform_memory = compute_memory_overhead(baseline, transforms) - if transform_memory["samples"] > 0: - print( - f"| **SDK Active w/ Transforms** | {format_bytes(transform_memory['avg_rss_delta'])} | " - f"{format_bytes(transform_memory['max_rss_delta'])} |" - ) - else: - print("| **SDK Active w/ Transforms** | N/A | N/A |") - - print("\n✓ Summary complete.\n") - - -if __name__ == "__main__": - main() diff --git a/benchmarks/profile/.gitignore b/benchmarks/profile/.gitignore deleted file mode 100644 index fcb8cf5..0000000 --- a/benchmarks/profile/.gitignore +++ /dev/null @@ -1,2 +0,0 @@ -# Profile results -results/ diff --git a/benchmarks/profile/profile.sh b/benchmarks/profile/profile.sh deleted file mode 100755 index 84f3ca8..0000000 --- a/benchmarks/profile/profile.sh +++ /dev/null @@ -1,139 +0,0 @@ -#!/bin/bash -# Profile the SDK using different profilers - -set -e - -SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" -PROJECT_ROOT="$(dirname "$(dirname "$SCRIPT_DIR")")" -RESULTS_DIR="$SCRIPT_DIR/results" - -cd "$PROJECT_ROOT" - -mkdir -p "$RESULTS_DIR" - -PROFILER="${1:-cprofile}" # Default to cProfile - -case "$PROFILER" in - "pyspy"|"py-spy"|"flamegraph") - echo "==============================================" - echo "Running py-spy flame graph profiler" - echo "==============================================" - - if ! command -v py-spy &> /dev/null; then - echo "py-spy not found. Install with: pip install py-spy" - echo "Or on macOS: brew install py-spy" - exit 1 - fi - - # Capture resolved binary path before sudo (root's PATH may not include user pip bin) - PYSPY_BIN="$(command -v py-spy)" - PYTHON_BIN="$(command -v python)" - - OUTPUT="$RESULTS_DIR/flamegraph_$(date +%Y%m%d_%H%M%S).svg" - echo "Output: $OUTPUT" - echo "" - - # py-spy needs sudo on macOS for sampling - if [[ "$OSTYPE" == "darwin"* ]]; then - echo "Note: py-spy may require sudo on macOS" - sudo "$PYSPY_BIN" record -o "$OUTPUT" --rate 100 -- "$PYTHON_BIN" benchmarks/profile/simple_profile.py - else - "$PYSPY_BIN" record -o "$OUTPUT" --rate 100 -- "$PYTHON_BIN" benchmarks/profile/simple_profile.py - fi - - echo "" - echo "Flame graph saved to: $OUTPUT" - echo "Open in browser to view." - ;; - - "cprofile"|"cProfile") - echo "==============================================" - echo "Running cProfile deterministic profiler" - echo "==============================================" - - OUTPUT="$RESULTS_DIR/cprofile_$(date +%Y%m%d_%H%M%S).prof" - echo "Output: $OUTPUT" - echo "" - - python -m cProfile -o "$OUTPUT" benchmarks/profile/simple_profile.py - - echo "" - echo "Profile saved to: $OUTPUT" - echo "" - echo "Analyzing top functions by cumulative time..." - echo "" - - python -c " -import pstats -p = pstats.Stats('$OUTPUT') -p.strip_dirs() -p.sort_stats('cumulative') -print('=== Top 30 by cumulative time ===') -p.print_stats(30) -print() -print('=== Top 30 by total time (self) ===') -p.sort_stats('tottime') -p.print_stats(30) -" - ;; - - "scalene") - echo "==============================================" - echo "Running Scalene CPU/memory profiler" - echo "==============================================" - - if ! command -v scalene &> /dev/null; then - echo "scalene not found. Install with: pip install scalene" - exit 1 - fi - - OUTPUT="$RESULTS_DIR/scalene_$(date +%Y%m%d_%H%M%S).html" - echo "Output: $OUTPUT" - echo "" - - scalene --html --outfile "$OUTPUT" benchmarks/profile/simple_profile.py - - echo "" - echo "Scalene report saved to: $OUTPUT" - ;; - - "viztracer") - echo "==============================================" - echo "Running VizTracer timeline profiler" - echo "==============================================" - - if ! python -c "import viztracer" 2>/dev/null; then - echo "viztracer not found. Install with: pip install viztracer" - exit 1 - fi - - OUTPUT="$RESULTS_DIR/viztracer_$(date +%Y%m%d_%H%M%S).json" - echo "Output: $OUTPUT" - echo "" - - python -m viztracer -o "$OUTPUT" benchmarks/profile/simple_profile.py - - echo "" - echo "VizTracer trace saved to: $OUTPUT" - echo "View with: vizviewer $OUTPUT" - ;; - - *) - echo "Usage: $0 [profiler]" - echo "" - echo "Available profilers:" - echo " cprofile - Built-in deterministic profiler (default)" - echo " pyspy - Sampling profiler with flame graphs" - echo " scalene - CPU/memory profiler with line-level detail" - echo " viztracer - Timeline/trace profiler" - echo "" - echo "Examples:" - echo " $0 cprofile # Run cProfile" - echo " $0 pyspy # Generate flame graph" - echo " $0 scalene # CPU/memory analysis" - exit 1 - ;; -esac - -echo "" -echo "Done!" diff --git a/benchmarks/profile/simple_profile.py b/benchmarks/profile/simple_profile.py deleted file mode 100644 index 93f3b76..0000000 --- a/benchmarks/profile/simple_profile.py +++ /dev/null @@ -1,115 +0,0 @@ -#!/usr/bin/env python3 -"""Simple profiling script for the SDK. - -This script can be used with various profilers: - -1. py-spy (flame graphs): - py-spy record -o profile.svg -- python benchmarks/profile/simple_profile.py - -2. cProfile (call stats): - python -m cProfile -o profile.prof benchmarks/profile/simple_profile.py - # Then view with: python -m pstats profile.prof - -3. scalene (CPU/memory): - scalene benchmarks/profile/simple_profile.py -""" - -import os -import sys -import time - -# Set SDK to RECORD mode -os.environ["TUSK_DRIFT_MODE"] = "RECORD" - -# Add project root to path -sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))) - -from pathlib import Path - -import requests - -from drift import TuskDrift -from drift.core.tracing.adapters.filesystem import FilesystemSpanAdapter - -# Setup traces directory -PROFILE_TRACE_DIR = Path(__file__).parent / "results" / "traces" -PROFILE_TRACE_DIR.mkdir(parents=True, exist_ok=True) - -# Initialize SDK -sdk = TuskDrift.initialize( - api_key="profile-test-key", - env="profile", - log_level="warn", -) - -if sdk.span_exporter: - sdk.span_exporter.clear_adapters() - adapter = FilesystemSpanAdapter(base_directory=PROFILE_TRACE_DIR) - sdk.span_exporter.add_adapter(adapter) - -sdk.mark_app_as_ready() - -# Import server after SDK init -from benchmarks.server.test_server import TestServer - - -def main(): - """Run profiling workload.""" - # Start test server - server = TestServer() - server_info = server.start() - server_url = server_info["url"] - - # Wait for server - time.sleep(0.5) - - # Use session for connection pooling - session = requests.Session() - - try: - print(f"\nTest server started at {server_url}") - print("Running profiling workload...") - - # Number of iterations (adjust for longer/shorter profiling) - iterations = 500 - - start_time = time.time() - - for i in range(iterations): - # Mix of different request types - if i % 3 == 0: - # Simple GET - response = session.get(f"{server_url}/api/simple") - response.json() - elif i % 3 == 1: - # POST with JSON body - response = session.post( - f"{server_url}/api/echo", - json={"data": "test", "iteration": i}, - ) - response.json() - else: - # Sensitive data endpoint (triggers transform checks) - response = session.post( - f"{server_url}/api/auth/login", - json={"email": "test@example.com", "password": "secret123"}, - ) - response.json() - - if (i + 1) % 100 == 0: - elapsed = time.time() - start_time - rate = (i + 1) / elapsed - print(f" {i + 1}/{iterations} iterations ({rate:.1f} req/s)") - - elapsed = time.time() - start_time - print(f"\nCompleted {iterations} iterations in {elapsed:.2f}s") - print(f"Average: {iterations / elapsed:.1f} req/s") - finally: - # Cleanup - always execute even if an exception is raised - session.close() - server.stop() - sdk.shutdown() - - -if __name__ == "__main__": - main() diff --git a/benchmarks/run_benchmarks.sh b/benchmarks/run_benchmarks.sh deleted file mode 100755 index 1266f49..0000000 --- a/benchmarks/run_benchmarks.sh +++ /dev/null @@ -1,53 +0,0 @@ -#!/bin/bash -# Run all benchmarks and compare results - -set -e - -SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" -PROJECT_ROOT="$(dirname "$SCRIPT_DIR")" - -cd "$PROJECT_ROOT" - -echo "==============================================" -echo "Drift Python SDK Benchmarks" -echo "==============================================" -echo "" - -# Check for psutil -if ! python -c "import psutil" 2>/dev/null; then - echo "Installing psutil..." - uv pip install psutil -fi - -# Check for flask -if ! python -c "import flask" 2>/dev/null; then - echo "Installing flask..." - uv pip install flask -fi - -# Check for requests -if ! python -c "import requests" 2>/dev/null; then - echo "Installing requests..." - uv pip install requests -fi - -echo "" -echo "Running SDK Disabled (baseline)..." -echo "----------------------------------------------" -python benchmarks/bench/sdk_disabled.py - -echo "" -echo "Running SDK Active..." -echo "----------------------------------------------" -python benchmarks/bench/sdk_active.py - -echo "" -echo "Running SDK Active with Transforms..." -echo "----------------------------------------------" -python benchmarks/bench/sdk_active_with_transforms.py - -echo "" -echo "==============================================" -echo "Comparing Results" -echo "==============================================" -python benchmarks/compare_benchmarks.py diff --git a/benchmarks/scripts/compare_runs.py b/benchmarks/scripts/compare_runs.py deleted file mode 100755 index 20ab534..0000000 --- a/benchmarks/scripts/compare_runs.py +++ /dev/null @@ -1,177 +0,0 @@ -#!/usr/bin/env python3 -"""Compare benchmark results from different runs. - -Usage: - python compare_runs.py results1.json results2.json - python compare_runs.py --json results1.json results2.json # JSON output only -""" - -import argparse -import json - - -def load_results(path: str) -> dict: - """Load benchmark results from JSON file.""" - with open(path) as f: - return json.load(f) - - -def compare_realistic_workload(old: dict, new: dict) -> list[dict]: - """Compare realistic workload results.""" - comparisons = [] - - old_comp = old.get("comparison_100", old.get("realistic_workload", {}).get("comparison_100", {})) - new_comp = new.get("comparison_100", new.get("realistic_workload", {}).get("comparison_100", {})) - - for endpoint in ["typical_read", "typical_write", "realistic_mixed"]: - if endpoint in old_comp and endpoint in new_comp: - old_overhead = old_comp[endpoint]["mean_overhead_ms"] - new_overhead = new_comp[endpoint]["mean_overhead_ms"] - delta = new_overhead - old_overhead - delta_pct = (delta / old_overhead * 100) if old_overhead != 0 else 0 - - comparisons.append( - { - "endpoint": endpoint, - "old_overhead_ms": round(old_overhead, 2), - "new_overhead_ms": round(new_overhead, 2), - "delta_ms": round(delta, 2), - "delta_pct": round(delta_pct, 1), - "regression": delta > 0.5, # Flag if overhead increased by more than 0.5ms - } - ) - - return comparisons - - -def compare_fixed_qps(old: dict, new: dict) -> list[dict]: - """Compare fixed QPS results.""" - comparisons = [] - - old_baseline = old.get("baseline", old.get("fixed_qps_latency", {}).get("baseline", {})) - new_baseline = new.get("baseline", new.get("fixed_qps_latency", {}).get("baseline", {})) - - old_sdk = old.get("sdk_100", old.get("fixed_qps_latency", {}).get("sdk_100", {})) - new_sdk = new.get("sdk_100", new.get("fixed_qps_latency", {}).get("sdk_100", {})) - - for qps in ["25", "50", "75"]: - if qps in old_sdk and qps in new_sdk: - old_overhead = old_sdk[qps]["mean_ms"] - old_baseline.get(qps, {}).get("mean_ms", 0) - new_overhead = new_sdk[qps]["mean_ms"] - new_baseline.get(qps, {}).get("mean_ms", 0) - delta = new_overhead - old_overhead - - comparisons.append( - { - "qps": int(qps), - "old_overhead_ms": round(old_overhead, 2), - "new_overhead_ms": round(new_overhead, 2), - "delta_ms": round(delta, 2), - "regression": delta > 0.5, - } - ) - - return comparisons - - -def print_comparison(old_path: str, new_path: str, old: dict, new: dict) -> None: - """Print comparison results.""" - print("=" * 70) - print("Benchmark Comparison") - print("=" * 70) - print() - print(f"Old: {old_path}") - print(f"New: {new_path}") - print() - - # Metadata comparison if available - old_meta = old.get("metadata", {}) - new_meta = new.get("metadata", {}) - - if old_meta or new_meta: - print("### Metadata") - print(f" Old run: {old_meta.get('run_id', 'N/A')} @ {old_meta.get('timestamp', 'N/A')}") - print(f" New run: {new_meta.get('run_id', 'N/A')} @ {new_meta.get('timestamp', 'N/A')}") - print() - - # Realistic workload comparison - print("### Realistic Workload (100% sampling)") - print() - print("| Endpoint | Old Overhead | New Overhead | Delta | Status |") - print("|----------|--------------|--------------|-------|--------|") - - realistic_comps = compare_realistic_workload(old, new) - has_regression = False - - for comp in realistic_comps: - status = "⚠️ REGRESSION" if comp["regression"] else "✅ OK" - if comp["regression"]: - has_regression = True - print( - f"| {comp['endpoint']} | {comp['old_overhead_ms']}ms | {comp['new_overhead_ms']}ms | {comp['delta_ms']:+.2f}ms | {status} |" - ) - - print() - - # Fixed QPS comparison - print("### Fixed QPS Latency (100% sampling)") - print() - print("| QPS | Old Overhead | New Overhead | Delta | Status |") - print("|-----|--------------|--------------|-------|--------|") - - qps_comps = compare_fixed_qps(old, new) - - for comp in qps_comps: - status = "⚠️ REGRESSION" if comp["regression"] else "✅ OK" - if comp["regression"]: - has_regression = True - print( - f"| {comp['qps']} | {comp['old_overhead_ms']}ms | {comp['new_overhead_ms']}ms | {comp['delta_ms']:+.2f}ms | {status} |" - ) - - print() - - if has_regression: - print("⚠️ REGRESSION DETECTED: Some metrics show increased overhead") - else: - print("✅ No regressions detected") - - # Output as JSON for programmatic use - output = { - "realistic_workload": realistic_comps, - "fixed_qps": qps_comps, - "has_regression": has_regression, - } - - print() - print("### JSON Output") - print(json.dumps(output, indent=2)) - - -def main(): - parser = argparse.ArgumentParser(description="Compare benchmark results") - parser.add_argument("old", help="Path to old results JSON") - parser.add_argument("new", help="Path to new results JSON") - parser.add_argument("--json", action="store_true", help="Output only JSON") - - args = parser.parse_args() - - old = load_results(args.old) - new = load_results(args.new) - - if args.json: - realistic_comps = compare_realistic_workload(old, new) - qps_comps = compare_fixed_qps(old, new) - has_regression = any(c["regression"] for c in realistic_comps + qps_comps) - - output = { - "realistic_workload": realistic_comps, - "fixed_qps": qps_comps, - "has_regression": has_regression, - } - print(json.dumps(output, indent=2)) - else: - print_comparison(args.old, args.new, old, new) - - -if __name__ == "__main__": - main() diff --git a/benchmarks/server/__init__.py b/benchmarks/server/__init__.py deleted file mode 100644 index 087929f..0000000 --- a/benchmarks/server/__init__.py +++ /dev/null @@ -1 +0,0 @@ -# Test server for benchmarks diff --git a/benchmarks/server/test_server.py b/benchmarks/server/test_server.py deleted file mode 100644 index e747a50..0000000 --- a/benchmarks/server/test_server.py +++ /dev/null @@ -1,414 +0,0 @@ -"""Test server for benchmarks - provides various endpoint types for measuring SDK overhead.""" - -from __future__ import annotations - -import hashlib -import json -import threading -from typing import Any - -from flask import Flask, Response, request - - -class TestServer: - """Flask-based test server for benchmarks.""" - - def __init__(self, host: str = "127.0.0.1", port: int = 0): - self.host = host - self.port = port - self.app = Flask(__name__) - self._server_thread: threading.Thread | None = None - self._actual_port: int | None = None - self._setup_routes() - - def _setup_routes(self) -> None: - """Set up all benchmark endpoints.""" - - @self.app.route("/health") - def health() -> Response: - return Response( - json.dumps({"status": "ok"}), - mimetype="application/json", - ) - - @self.app.route("/api/simple") - def simple() -> Response: - """Minimal processing endpoint.""" - import time - - return Response( - json.dumps({"message": "Hello World", "timestamp": int(time.time() * 1000)}), - mimetype="application/json", - ) - - @self.app.route("/api/simple-post", methods=["POST"]) - def simple_post() -> Response: - """Minimal POST endpoint.""" - import time - - return Response( - json.dumps({"message": "Hello World", "timestamp": int(time.time() * 1000)}), - mimetype="application/json", - ) - - @self.app.route("/api/echo", methods=["POST"]) - def echo() -> Response: - """Echo back request body.""" - data = request.get_json(force=True, silent=True) or {} - return Response(json.dumps(data), mimetype="application/json") - - @self.app.route("/api/small") - def small() -> Response: - """Return ~100KB payload.""" - import time - - data = { - "id": "small-123", - "data": "x" * (100 * 1024), - "timestamp": int(time.time() * 1000), - } - return Response(json.dumps(data), mimetype="application/json") - - @self.app.route("/api/small-post", methods=["POST"]) - def small_post() -> Response: - """Accept and return ~100KB payload.""" - import time - - data = { - "id": "small-post-123", - "data": "x" * (100 * 1024), - "timestamp": int(time.time() * 1000), - } - return Response(json.dumps(data), mimetype="application/json") - - @self.app.route("/api/medium") - def medium() -> Response: - """Return ~1MB payload.""" - import time - - data = { - "id": "medium-456", - "data": "x" * (1024 * 1024), - "timestamp": int(time.time() * 1000), - } - return Response(json.dumps(data), mimetype="application/json") - - @self.app.route("/api/medium-post", methods=["POST"]) - def medium_post() -> Response: - """Accept and return ~1MB payload.""" - import time - - data = { - "id": "medium-post-456", - "data": "x" * (1024 * 1024), - "timestamp": int(time.time() * 1000), - } - return Response(json.dumps(data), mimetype="application/json") - - @self.app.route("/api/large") - def large() -> Response: - """Return ~2MB payload.""" - import time - - data = { - "id": "large-789", - "data": "x" * (2 * 1024 * 1024), - "timestamp": int(time.time() * 1000), - } - return Response(json.dumps(data), mimetype="application/json") - - @self.app.route("/api/large-post", methods=["POST"]) - def large_post() -> Response: - """Accept and return ~2MB payload.""" - import time - - data = { - "id": "large-post-789", - "data": "x" * (2 * 1024 * 1024), - "timestamp": int(time.time() * 1000), - } - return Response(json.dumps(data), mimetype="application/json") - - @self.app.route("/api/compute-hash", methods=["POST"]) - def compute_hash() -> Response: - """CPU-intensive endpoint - iterative hashing.""" - data = request.get_json(force=True, silent=True) or {} - input_data = data.get("data", "default-data") - iterations = data.get("iterations", 1000) - - hash_val = input_data - for _ in range(iterations): - hash_val = hashlib.sha256(hash_val.encode()).hexdigest() - - return Response( - json.dumps({"hash": hash_val, "iterations": iterations}), - mimetype="application/json", - ) - - @self.app.route("/api/compute-json", methods=["POST"]) - def compute_json() -> Response: - """CPU-intensive endpoint - JSON parsing/stringifying.""" - req_data = request.get_json(force=True, silent=True) or {} - iterations = req_data.get("iterations", 100) - data = req_data.get("data", {"test": "data", "nested": {"value": 123}}) - - result = data - for i in range(iterations): - str_data = json.dumps(result) - result = json.loads(str_data) - result["iteration"] = i - - return Response(json.dumps(result), mimetype="application/json") - - @self.app.route("/api/auth/login", methods=["POST"]) - def auth_login() -> Response: - """Endpoint with sensitive data for transform testing.""" - data = request.get_json(force=True, silent=True) or {} - return Response( - json.dumps( - { - "success": True, - "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...", - "user": { - "id": 123, - "email": data.get("email", "user@example.com"), - "role": "user", - }, - } - ), - mimetype="application/json", - ) - - @self.app.route("/api/users", methods=["POST"]) - def create_user() -> Response: - """Endpoint with nested sensitive data.""" - import time - - data = request.get_json(force=True, silent=True) or {} - return Response( - json.dumps( - { - "id": int(time.time() * 1000), - "username": data.get("username", "testuser"), - "profile": { - "email": data.get("email", "test@example.com"), - "ssn": data.get("ssn", "123-45-6789"), - "creditCard": data.get("creditCard", "4111-1111-1111-1111"), - }, - "createdAt": "2025-01-14T00:00:00Z", - } - ), - mimetype="application/json", - ) - - @self.app.route("/api/io-bound", methods=["POST"]) - def io_bound() -> Response: - """High IO, low CPU endpoint - simulates IO-bound work.""" - import time - - data = request.get_json(force=True, silent=True) or {} - jobs = data.get("jobs", 5) - delay_ms = data.get("delayMs", 5) - - results = [] - for i in range(jobs): - time.sleep(delay_ms / 1000) - results.append( - { - "jobId": i, - "timestamp": int(time.time() * 1000), - "status": "completed", - } - ) - - return Response( - json.dumps( - { - "totalJobs": jobs, - "results": results, - "completedAt": int(time.time() * 1000), - } - ), - mimetype="application/json", - ) - - @self.app.route("/api/slow") - def slow() -> Response: - """Slow endpoint - simulates slow processing.""" - import time - - time.sleep(0.1) - return Response( - json.dumps({"message": "Slow response", "timestamp": int(time.time() * 1000)}), - mimetype="application/json", - ) - - @self.app.route("/api/error") - def error() -> Response: - """Error endpoint.""" - return Response( - json.dumps({"error": "Internal Server Error"}), - status=500, - mimetype="application/json", - ) - - @self.app.route("/api/realistic", methods=["POST"]) - def realistic() -> Response: - """Realistic API endpoint - simulates typical production workload. - - This endpoint simulates a real API that: - 1. Validates input (light CPU) - 2. Queries a database (I/O wait - simulated with sleep) - 3. Processes results (moderate CPU) - 4. Returns response - - Target: ~10-20ms response time (typical for production APIs) - """ - import re - import time - - data = request.get_json(force=True, silent=True) or {} - - # 1. Input validation (light CPU work) - user_id = data.get("userId", "user-123") - query = data.get("query", "default query") - - # Validate email format if provided - email = data.get("email", "") - email_valid = bool(re.match(r"[^@]+@[^@]+\.[^@]+", email)) if email else True - - # 2. Simulate database query (I/O wait ~10ms) - time.sleep(0.010) - - # 3. Process results (moderate CPU - JSON manipulation) - results = [] - for i in range(10): - item = { - "id": f"item-{i}", - "userId": user_id, - "data": {"index": i, "query": query[:50]}, - "score": (i + 1) * 0.1, - } - # Serialize and deserialize (simulates data transformation) - item_str = json.dumps(item) - results.append(json.loads(item_str)) - - # 4. Build response - response_data = { - "success": True, - "userId": user_id, - "emailValid": email_valid, - "resultCount": len(results), - "results": results, - "processingTimeMs": 10, # Approximate - "timestamp": int(time.time() * 1000), - } - - return Response(json.dumps(response_data), mimetype="application/json") - - @self.app.route("/api/typical-read", methods=["GET"]) - def typical_read() -> Response: - """Typical read endpoint - simulates fetching data. - - Simulates: Auth check + DB read + response serialization - Target: ~5-10ms response time - """ - import time - - # Simulate auth token validation (light CPU) - auth_header = request.headers.get("Authorization", "") - is_authenticated = len(auth_header) > 10 - - # Simulate database read (~5ms) - time.sleep(0.005) - - # Build response - data = { - "id": "resource-123", - "name": "Example Resource", - "description": "This is a typical API response", - "metadata": { - "createdAt": "2025-01-14T00:00:00Z", - "updatedAt": "2025-01-14T12:00:00Z", - "version": 1, - }, - "authenticated": is_authenticated, - "timestamp": int(time.time() * 1000), - } - - return Response(json.dumps(data), mimetype="application/json") - - @self.app.route("/api/typical-write", methods=["POST"]) - def typical_write() -> Response: - """Typical write endpoint - simulates creating/updating data. - - Simulates: Validation + DB write + response - Target: ~15-25ms response time - """ - import time - - data = request.get_json(force=True, silent=True) or {} - - # Input validation (light CPU) - name = data.get("name", "") - if len(name) < 1: - name = "default" - - # Simulate database write (~15ms - writes are slower than reads) - time.sleep(0.015) - - # Build response - response_data = { - "id": f"new-{int(time.time() * 1000)}", - "name": name, - "status": "created", - "timestamp": int(time.time() * 1000), - } - - return Response(json.dumps(response_data), mimetype="application/json") - - def start(self) -> dict[str, Any]: - """Start the test server in a background thread.""" - from werkzeug.serving import make_server - - # Let make_server bind to port 0 to get an ephemeral port - # This avoids TOCTOU race where a separate socket finds a free port - # but another process binds to it before we can - self._server = make_server(self.host, self.port, self.app, threaded=True) - self._actual_port = self._server.server_port - - def run_server(): - self._server.serve_forever() - - self._server_thread = threading.Thread(target=run_server, daemon=True) - self._server_thread.start() - - url = f"http://{self.host}:{self._actual_port}" - print(f"Test server started at {url}") - - return { - "port": self._actual_port, - "host": self.host, - "url": url, - } - - def stop(self) -> None: - """Stop the test server.""" - if hasattr(self, "_server"): - self._server.shutdown() - if self._server_thread: - self._server_thread.join(timeout=5) - print("Test server stopped") - - def get_url(self) -> str: - """Get the server URL.""" - return f"http://{self.host}:{self._actual_port}" - - -if __name__ == "__main__": - # Quick test - server = TestServer() - info = server.start() - print(f"Server running at {info['url']}") - input("Press Enter to stop...") - server.stop() diff --git a/drift/instrumentation/aiohttp/e2e-tests/docker-compose.yml b/drift/instrumentation/aiohttp/e2e-tests/docker-compose.yml index d298dba..1d17c2c 100644 --- a/drift/instrumentation/aiohttp/e2e-tests/docker-compose.yml +++ b/drift/instrumentation/aiohttp/e2e-tests/docker-compose.yml @@ -9,6 +9,9 @@ services: - PORT=8000 - TUSK_ANALYTICS_DISABLED=1 - PYTHONUNBUFFERED=1 + - BENCHMARKS=${BENCHMARKS:-} + - BENCHMARK_DURATION=${BENCHMARK_DURATION:-10} + - BENCHMARK_WARMUP=${BENCHMARK_WARMUP:-3} working_dir: /app volumes: # Mount SDK source for hot reload (no rebuild needed for SDK changes) diff --git a/drift/instrumentation/django/e2e-tests/docker-compose.yml b/drift/instrumentation/django/e2e-tests/docker-compose.yml index 72c8039..721e3c1 100644 --- a/drift/instrumentation/django/e2e-tests/docker-compose.yml +++ b/drift/instrumentation/django/e2e-tests/docker-compose.yml @@ -10,6 +10,9 @@ services: - TUSK_ANALYTICS_DISABLED=1 - PYTHONUNBUFFERED=1 - DJANGO_SETTINGS_MODULE=settings + - BENCHMARKS=${BENCHMARKS:-} + - BENCHMARK_DURATION=${BENCHMARK_DURATION:-10} + - BENCHMARK_WARMUP=${BENCHMARK_WARMUP:-3} working_dir: /app volumes: # Mount SDK source for hot reload (no rebuild needed for SDK changes) diff --git a/drift/instrumentation/e2e_common/base_runner.py b/drift/instrumentation/e2e_common/base_runner.py index 049efed..8c68859 100644 --- a/drift/instrumentation/e2e_common/base_runner.py +++ b/drift/instrumentation/e2e_common/base_runner.py @@ -11,6 +11,7 @@ import json import os +import re import signal import subprocess import sys @@ -42,6 +43,7 @@ class E2ETestRunnerBase: - Trace recording and verification - Tusk CLI test execution - Result parsing and reporting + - Benchmark mode (BENCHMARKS env var) """ def __init__(self, app_port: int = 8000): @@ -130,36 +132,22 @@ def setup(self): self.log("Setup complete", Colors.GREEN) - def record_traces(self) -> bool: - """Phase 2: Start app and record traces.""" - self.log("=" * 50, Colors.BLUE) - self.log("Phase 2: Recording Traces", Colors.BLUE) - self.log("=" * 50, Colors.BLUE) + def _start_app(self, mode: str) -> bool: + """Start the application with the given TUSK_DRIFT_MODE and wait for it to be ready. - # Clear existing traces - traces_dir = Path(".tusk/traces") - logs_dir = Path(".tusk/logs") - - if traces_dir.exists(): - for f in traces_dir.glob("*.jsonl"): - f.unlink() - if logs_dir.exists(): - for f in logs_dir.glob("*"): - f.unlink() - - # Start application in RECORD mode - self.log("Starting application in RECORD mode...", Colors.GREEN) - env = {"TUSK_DRIFT_MODE": "RECORD", "PYTHONUNBUFFERED": "1"} + Returns True if the app started successfully, False otherwise. + """ + self.log(f"Starting application with TUSK_DRIFT_MODE={mode}", Colors.GREEN) + app_env = {**os.environ, "TUSK_DRIFT_MODE": mode, "PYTHONUNBUFFERED": "1"} # Use a temporary file to capture app output for debugging. - # This avoids pipe buffer issues while still allowing diagnostics. # Note: Can't use context manager here - file must stay open for subprocess # and be cleaned up later in cleanup(). Using delete=False + manual unlink. self.app_log_file = tempfile.NamedTemporaryFile(mode="w+", suffix=".log", delete=False) # noqa: SIM115 self.app_process = subprocess.Popen( ["python", "src/app.py"], - env={**os.environ, **env}, + env=app_env, stdout=self.app_log_file, stderr=subprocess.STDOUT, text=True, @@ -173,6 +161,16 @@ def record_traces(self) -> bool: timeout=30, ) self.log("Application is ready", Colors.GREEN) + + # Show early app output for diagnostics (SDK init messages, mode confirmation) + if self.app_log_file: + self.app_log_file.flush() + self.app_log_file.seek(0) + early_output = self.app_log_file.read(2048) + if early_output.strip(): + self.log(f"App startup output:\n{early_output.rstrip()}", Colors.YELLOW) + + return True except TimeoutError: self.log("Application failed to become ready", Colors.RED) if self.app_process: @@ -188,17 +186,63 @@ def record_traces(self) -> bool: self.app_log_file.seek(0) app_output = self.app_log_file.read() self.log(f"App output:\n{app_output}", Colors.YELLOW) + return False + + def _stop_app(self): + """Stop the running application process and clean up the log file.""" + self.log("Stopping application...", Colors.YELLOW) + if self.app_process: + self.app_process.terminate() + try: + self.app_process.wait(timeout=5) + except subprocess.TimeoutExpired: + self.app_process.kill() + self.app_process.wait() + self.app_process = None + + if self.app_log_file: + try: + self.app_log_file.close() + os.unlink(self.app_log_file.name) + except OSError: + pass + self.app_log_file = None + + def _run_test_requests(self, extra_env: dict | None = None) -> subprocess.CompletedProcess: + """Run test_requests.py and return the completed process result.""" + env = {"PYTHONPATH": "/sdk"} + if extra_env: + env.update(extra_env) + return self.run_command( + ["python", "src/test_requests.py"], + env=env, + ) + + def record_traces(self) -> bool: + """Phase 2: Start app and record traces.""" + self.log("=" * 50, Colors.BLUE) + self.log("Phase 2: Recording Traces", Colors.BLUE) + self.log("=" * 50, Colors.BLUE) + + # Clear existing traces + traces_dir = Path(".tusk/traces") + logs_dir = Path(".tusk/logs") + + if traces_dir.exists(): + for f in traces_dir.glob("*.jsonl"): + f.unlink() + if logs_dir.exists(): + for f in logs_dir.glob("*"): + f.unlink() + + if not self._start_app(mode="RECORD"): self.exit_code = 1 return False # Execute test requests self.log("Executing test requests...", Colors.GREEN) try: - # Pass PYTHONPATH so test_requests.py can import from e2e_common - result = self.run_command( - ["python", "src/test_requests.py"], - env={"PYTHONPATH": "/sdk"}, - ) + result = self._run_test_requests() # Parse request count from output self._parse_request_count(result.stdout) except subprocess.CalledProcessError: @@ -211,15 +255,7 @@ def record_traces(self) -> bool: time.sleep(3) # Stop application - self.log("Stopping application...", Colors.YELLOW) - if self.app_process: - self.app_process.terminate() - try: - self.app_process.wait(timeout=5) - except subprocess.TimeoutExpired: - self.app_process.kill() - self.app_process.wait() - self.app_process = None + self._stop_app() # Verify traces were created trace_files = list(traces_dir.glob("*.jsonl")) @@ -415,9 +451,126 @@ def cleanup(self): # Traces are kept in container for inspection self.log("Cleanup complete", Colors.GREEN) + # ── Benchmark mode ────────────────────────────────────────────── + + def run_benchmarks(self): + """Run test_requests.py twice (DISABLED vs RECORD) and compare results.""" + duration = os.environ.get("BENCHMARK_DURATION", "10") + warmup = os.environ.get("BENCHMARK_WARMUP", "3") + benchmark_env = { + "BENCHMARKS": os.environ.get("BENCHMARKS", "1"), + "BENCHMARK_DURATION": duration, + "BENCHMARK_WARMUP": warmup, + } + self.log(f"Benchmark config: duration={duration}s, warmup={warmup}s per endpoint", Colors.BLUE) + + # Run 1: SDK disabled (baseline) + self.log("=" * 60, Colors.BLUE) + self.log("BASELINE (SDK DISABLED)", Colors.BLUE) + self.log("=" * 60, Colors.BLUE) + + if not self._start_app(mode="DISABLED"): + self.log("Failed to start app in DISABLED mode", Colors.RED) + self.exit_code = 1 + return + + try: + baseline_result = self._run_test_requests(extra_env=benchmark_env) + baseline_output = baseline_result.stdout + print(baseline_output, end="") + except subprocess.CalledProcessError: + self.log("Benchmark test requests failed (DISABLED mode)", Colors.RED) + self.exit_code = 1 + self._stop_app() + return + + self._stop_app() + + # Run 2: SDK enabled (RECORD mode) + self.log("") + self.log("=" * 60, Colors.BLUE) + self.log("WITH SDK (TUSK_DRIFT_MODE=RECORD)", Colors.BLUE) + self.log("=" * 60, Colors.BLUE) + + if not self._start_app(mode="RECORD"): + self.log("Failed to start app in RECORD mode", Colors.RED) + self.exit_code = 1 + return + + try: + sdk_result = self._run_test_requests(extra_env=benchmark_env) + sdk_output = sdk_result.stdout + print(sdk_output, end="") + except subprocess.CalledProcessError: + self.log("Benchmark test requests failed (RECORD mode)", Colors.RED) + self.exit_code = 1 + self._stop_app() + return + + self._stop_app() + + # Parse and compare + baseline = self._parse_benchmark_output(baseline_output) + sdk = self._parse_benchmark_output(sdk_output) + self._print_comparison(baseline, sdk) + + def _parse_benchmark_output(self, output: str) -> dict[str, dict]: + """Parse Go-style benchmark lines and return {name: {ops: float, reliable: bool}}.""" + results = {} + for line in output.split("\n"): + # Match: Benchmark_GET_/health 5200 961538 ns/op 1040.00 ops/s + # Optional trailing " (~)" marks unreliable (low iteration count) + m = re.match(r"(Benchmark_\S+)\s+\d+\s+\d+\s+ns/op\s+([\d.]+)\s+ops/s(\s+\(~\))?", line) + if m: + results[m.group(1)] = { + "ops": float(m.group(2)), + "reliable": m.group(3) is None, + } + return results + + def _print_comparison(self, baseline: dict[str, dict], sdk: dict[str, dict]): + """Print a comparison table between baseline and SDK benchmark results.""" + self.log("") + self.log("=" * 78, Colors.BLUE) + self.log("COMPARISON (negative = slower with SDK) (~) = low iterations, unreliable", Colors.BLUE) + self.log("=" * 78, Colors.BLUE) + self.log(f"{'Benchmark':<40} {'Baseline':>12} {'Current':>12} {'Diff':>10}") + self.log("-" * 78) + + all_names = sorted(set(list(baseline.keys()) + list(sdk.keys()))) + for name in all_names: + base = baseline.get(name) + cur = sdk.get(name) + + if base is None: + self.log(f"{name:<40} {'N/A':>12} {cur['ops']:>10.2f}/s {'':>10}") + continue + if cur is None: + self.log(f"{name:<40} {base['ops']:>10.2f}/s {'N/A':>12} {'':>10}") + continue + + base_ops = base["ops"] + sdk_ops = cur["ops"] + reliable = base["reliable"] and cur["reliable"] + + if base_ops > 0: + diff_pct = ((sdk_ops - base_ops) / base_ops) * 100 + else: + diff_pct = 0.0 + + diff_str = f"{diff_pct:+.1f}%" + flag = "" if reliable else " (~)" + color = Colors.RED if diff_pct < -5 else Colors.YELLOW if diff_pct < 0 else Colors.GREEN + self.log(f"{name:<40} {base_ops:>10.2f}/s {sdk_ops:>10.2f}/s {diff_str:>10}{flag}", color) + def run(self) -> int: """Run the full e2e test lifecycle.""" try: + if os.environ.get("BENCHMARKS"): + self.setup() + self.run_benchmarks() + return self.exit_code + self.setup() if not self.record_traces(): diff --git a/drift/instrumentation/e2e_common/test_utils.py b/drift/instrumentation/e2e_common/test_utils.py index 951a774..318dfdc 100644 --- a/drift/instrumentation/e2e_common/test_utils.py +++ b/drift/instrumentation/e2e_common/test_utils.py @@ -2,9 +2,10 @@ Shared test utilities for e2e tests. This module provides common functions used across all instrumentation e2e tests, -including request counting for validation. +including request counting for validation and optional benchmark mode. """ +import os import time import requests @@ -12,9 +13,19 @@ BASE_URL = "http://localhost:8000" _request_count = 0 +BENCHMARK_MODE = os.environ.get("BENCHMARKS", "") != "" +BENCHMARK_DURATION = int(os.environ.get("BENCHMARK_DURATION", "10")) +BENCHMARK_WARMUP = int(os.environ.get("BENCHMARK_WARMUP", "3")) + +# Minimum iterations required for a result to be considered reliable +_MIN_RELIABLE_ITERATIONS = 30 + def make_request(method, endpoint, **kwargs): """Make HTTP request, log result, and track count.""" + if BENCHMARK_MODE: + return _benchmark_request(method, endpoint, **kwargs) + global _request_count _request_count += 1 @@ -27,6 +38,74 @@ def make_request(method, endpoint, **kwargs): return response +def _benchmark_request(method, endpoint, **kwargs): + """Run a timed benchmark loop for a single request and print Go-style stats.""" + url = f"{BASE_URL}{endpoint}" + name = f"Benchmark_{method}_{endpoint}" + # Use shorter timeout for benchmarks to fail fast on slow external endpoints + kwargs.setdefault("timeout", 10) + session = requests.Session() + + # Check endpoint is reachable first + try: + resp = session.request(method, url, **kwargs) + if resp.status_code >= 500: + print(f"{name:<40} SKIPPED (endpoint error: {resp.status_code})") + return resp + except Exception as exc: + print(f"{name:<40} SKIPPED ({type(exc).__name__}: {exc})") + return None + + # Warmup: stabilize caches, TCP connections, server-side JIT, etc. + # Errors during warmup are tolerated — some endpoints hit external APIs that may flake. + warmup_deadline = time.perf_counter_ns() + (BENCHMARK_WARMUP * 1_000_000_000) + warmup_errors = 0 + while time.perf_counter_ns() < warmup_deadline: + try: + session.request(method, url, **kwargs) + except Exception: + warmup_errors += 1 + if warmup_errors > 5: + print(f"{name:<40} SKIPPED (too many warmup errors)") + return None + + # Timed benchmark loop + # Errors during the loop abort the benchmark for this endpoint. + last_resp = None + start = time.perf_counter_ns() + deadline = start + (BENCHMARK_DURATION * 1_000_000_000) + iterations = 0 + errors = 0 + while time.perf_counter_ns() < deadline: + try: + last_resp = session.request(method, url, **kwargs) + iterations += 1 + except Exception: + errors += 1 + if errors > 3: + # Too many errors — endpoint is flaky (likely external API issues) + elapsed_ns = time.perf_counter_ns() - start + if iterations > 0: + ns_per_op = elapsed_ns // iterations + ops_per_sec = iterations / (elapsed_ns / 1_000_000_000) + print( + f"{name:<40} {iterations:>8} {ns_per_op:>15} ns/op {ops_per_sec:>12.2f} ops/s (partial, {errors} errors)" + ) + else: + print(f"{name:<40} FAILED ({errors} errors, 0 successful iterations)") + return last_resp + + elapsed_ns = time.perf_counter_ns() - start + ns_per_op = elapsed_ns // iterations + ops_per_sec = iterations / (elapsed_ns / 1_000_000_000) + + flag = "" if iterations >= _MIN_RELIABLE_ITERATIONS else " (~)" + if errors > 0: + flag = f" ({errors} errors)" + print(f"{name:<40} {iterations:>8} {ns_per_op:>15} ns/op {ops_per_sec:>12.2f} ops/s{flag}") + return last_resp + + def get_request_count(): """Return the current request count.""" return _request_count @@ -34,4 +113,6 @@ def get_request_count(): def print_request_summary(): """Print the total request count in a parseable format.""" + if BENCHMARK_MODE: + return print(f"\nTOTAL_REQUESTS_SENT:{_request_count}") diff --git a/drift/instrumentation/fastapi/e2e-tests/docker-compose.yml b/drift/instrumentation/fastapi/e2e-tests/docker-compose.yml index fdefeea..3f5e6a2 100644 --- a/drift/instrumentation/fastapi/e2e-tests/docker-compose.yml +++ b/drift/instrumentation/fastapi/e2e-tests/docker-compose.yml @@ -9,6 +9,9 @@ services: - PORT=8000 - TUSK_ANALYTICS_DISABLED=1 - PYTHONUNBUFFERED=1 + - BENCHMARKS=${BENCHMARKS:-} + - BENCHMARK_DURATION=${BENCHMARK_DURATION:-10} + - BENCHMARK_WARMUP=${BENCHMARK_WARMUP:-3} working_dir: /app volumes: # Mount SDK source for hot reload (no rebuild needed for SDK changes) diff --git a/drift/instrumentation/flask/e2e-tests/docker-compose.yml b/drift/instrumentation/flask/e2e-tests/docker-compose.yml index b622476..f266a32 100644 --- a/drift/instrumentation/flask/e2e-tests/docker-compose.yml +++ b/drift/instrumentation/flask/e2e-tests/docker-compose.yml @@ -9,6 +9,9 @@ services: - PORT=8000 - TUSK_ANALYTICS_DISABLED=1 - PYTHONUNBUFFERED=1 + - BENCHMARKS=${BENCHMARKS:-} + - BENCHMARK_DURATION=${BENCHMARK_DURATION:-10} + - BENCHMARK_WARMUP=${BENCHMARK_WARMUP:-3} working_dir: /app volumes: # Mount SDK source for hot reload (no rebuild needed for SDK changes) diff --git a/drift/instrumentation/grpc/e2e-tests/docker-compose.yml b/drift/instrumentation/grpc/e2e-tests/docker-compose.yml index a249d83..88b860d 100644 --- a/drift/instrumentation/grpc/e2e-tests/docker-compose.yml +++ b/drift/instrumentation/grpc/e2e-tests/docker-compose.yml @@ -9,6 +9,9 @@ services: - PORT=8000 - TUSK_ANALYTICS_DISABLED=1 - PYTHONUNBUFFERED=1 + - BENCHMARKS=${BENCHMARKS:-} + - BENCHMARK_DURATION=${BENCHMARK_DURATION:-10} + - BENCHMARK_WARMUP=${BENCHMARK_WARMUP:-3} working_dir: /app volumes: # Mount SDK source for hot reload (no rebuild needed for SDK changes) diff --git a/drift/instrumentation/httpx/e2e-tests/docker-compose.yml b/drift/instrumentation/httpx/e2e-tests/docker-compose.yml index e29c4e7..60900f4 100644 --- a/drift/instrumentation/httpx/e2e-tests/docker-compose.yml +++ b/drift/instrumentation/httpx/e2e-tests/docker-compose.yml @@ -9,6 +9,9 @@ services: - PORT=8000 - TUSK_ANALYTICS_DISABLED=1 - PYTHONUNBUFFERED=1 + - BENCHMARKS=${BENCHMARKS:-} + - BENCHMARK_DURATION=${BENCHMARK_DURATION:-10} + - BENCHMARK_WARMUP=${BENCHMARK_WARMUP:-3} working_dir: /app volumes: # Mount SDK source for hot reload (no rebuild needed for SDK changes) diff --git a/drift/instrumentation/psycopg/e2e-tests/docker-compose.yml b/drift/instrumentation/psycopg/e2e-tests/docker-compose.yml index 53f51f8..86b9a0c 100644 --- a/drift/instrumentation/psycopg/e2e-tests/docker-compose.yml +++ b/drift/instrumentation/psycopg/e2e-tests/docker-compose.yml @@ -29,6 +29,9 @@ services: - POSTGRES_PASSWORD=testpass - TUSK_ANALYTICS_DISABLED=1 - PYTHONUNBUFFERED=1 + - BENCHMARKS=${BENCHMARKS:-} + - BENCHMARK_DURATION=${BENCHMARK_DURATION:-10} + - BENCHMARK_WARMUP=${BENCHMARK_WARMUP:-3} working_dir: /app volumes: # Mount SDK source for hot reload (no rebuild needed for SDK changes) diff --git a/drift/instrumentation/psycopg2/e2e-tests/docker-compose.yml b/drift/instrumentation/psycopg2/e2e-tests/docker-compose.yml index fd74bd5..b01d79c 100644 --- a/drift/instrumentation/psycopg2/e2e-tests/docker-compose.yml +++ b/drift/instrumentation/psycopg2/e2e-tests/docker-compose.yml @@ -29,6 +29,9 @@ services: - POSTGRES_PASSWORD=testpass - TUSK_ANALYTICS_DISABLED=1 - PYTHONUNBUFFERED=1 + - BENCHMARKS=${BENCHMARKS:-} + - BENCHMARK_DURATION=${BENCHMARK_DURATION:-10} + - BENCHMARK_WARMUP=${BENCHMARK_WARMUP:-3} working_dir: /app volumes: # Mount SDK source for hot reload (no rebuild needed for SDK changes) diff --git a/drift/instrumentation/redis/e2e-tests/docker-compose.yml b/drift/instrumentation/redis/e2e-tests/docker-compose.yml index 9e6df91..72293cd 100644 --- a/drift/instrumentation/redis/e2e-tests/docker-compose.yml +++ b/drift/instrumentation/redis/e2e-tests/docker-compose.yml @@ -22,6 +22,9 @@ services: - REDIS_PORT=6379 - TUSK_ANALYTICS_DISABLED=1 - PYTHONUNBUFFERED=1 + - BENCHMARKS=${BENCHMARKS:-} + - BENCHMARK_DURATION=${BENCHMARK_DURATION:-10} + - BENCHMARK_WARMUP=${BENCHMARK_WARMUP:-3} working_dir: /app volumes: # Mount SDK source for hot reload (no rebuild needed for SDK changes) diff --git a/drift/instrumentation/requests/e2e-tests/docker-compose.yml b/drift/instrumentation/requests/e2e-tests/docker-compose.yml index 31099f3..352b45e 100644 --- a/drift/instrumentation/requests/e2e-tests/docker-compose.yml +++ b/drift/instrumentation/requests/e2e-tests/docker-compose.yml @@ -9,6 +9,9 @@ services: - PORT=8000 - TUSK_ANALYTICS_DISABLED=1 - PYTHONUNBUFFERED=1 + - BENCHMARKS=${BENCHMARKS:-} + - BENCHMARK_DURATION=${BENCHMARK_DURATION:-10} + - BENCHMARK_WARMUP=${BENCHMARK_WARMUP:-3} working_dir: /app volumes: # Mount SDK source for hot reload (no rebuild needed for SDK changes) diff --git a/drift/instrumentation/urllib/e2e-tests/docker-compose.yml b/drift/instrumentation/urllib/e2e-tests/docker-compose.yml index c27ba21..5f53032 100644 --- a/drift/instrumentation/urllib/e2e-tests/docker-compose.yml +++ b/drift/instrumentation/urllib/e2e-tests/docker-compose.yml @@ -9,6 +9,9 @@ services: - PORT=8000 - TUSK_ANALYTICS_DISABLED=1 - PYTHONUNBUFFERED=1 + - BENCHMARKS=${BENCHMARKS:-} + - BENCHMARK_DURATION=${BENCHMARK_DURATION:-10} + - BENCHMARK_WARMUP=${BENCHMARK_WARMUP:-3} working_dir: /app volumes: # Mount SDK source for hot reload (no rebuild needed for SDK changes) diff --git a/drift/instrumentation/urllib3/e2e-tests/docker-compose.yml b/drift/instrumentation/urllib3/e2e-tests/docker-compose.yml index 6accb34..2a6aff6 100644 --- a/drift/instrumentation/urllib3/e2e-tests/docker-compose.yml +++ b/drift/instrumentation/urllib3/e2e-tests/docker-compose.yml @@ -9,6 +9,9 @@ services: - PORT=8000 - TUSK_ANALYTICS_DISABLED=1 - PYTHONUNBUFFERED=1 + - BENCHMARKS=${BENCHMARKS:-} + - BENCHMARK_DURATION=${BENCHMARK_DURATION:-10} + - BENCHMARK_WARMUP=${BENCHMARK_WARMUP:-3} working_dir: /app volumes: # Mount SDK source for hot reload (no rebuild needed for SDK changes) diff --git a/flake.lock b/flake.lock new file mode 100644 index 0000000..87cf130 --- /dev/null +++ b/flake.lock @@ -0,0 +1,27 @@ +{ + "nodes": { + "nixpkgs": { + "locked": { + "lastModified": 1769461804, + "narHash": "sha256-msG8SU5WsBUfVVa/9RPLaymvi5bI8edTavbIq3vRlhI=", + "owner": "nixos", + "repo": "nixpkgs", + "rev": "bfc1b8a4574108ceef22f02bafcf6611380c100d", + "type": "github" + }, + "original": { + "owner": "nixos", + "ref": "nixos-unstable", + "repo": "nixpkgs", + "type": "github" + } + }, + "root": { + "inputs": { + "nixpkgs": "nixpkgs" + } + } + }, + "root": "root", + "version": 7 +} diff --git a/flake.nix b/flake.nix new file mode 100644 index 0000000..1de3566 --- /dev/null +++ b/flake.nix @@ -0,0 +1,48 @@ +{ + description = "A very basic flake"; + + inputs = { + nixpkgs.url = "github:nixos/nixpkgs?ref=nixos-unstable"; + }; + + outputs = + { + self, + nixpkgs, + }: + let + x86-linux = "x86_64-linux"; + arm-linux = "aarch64-linux"; + arm-macos = "aarch64-darwin"; + + defaultSystems = [ + x86-linux + arm-linux + arm-macos + ]; + eachSystem = + fun: systems: + nixpkgs.lib.genAttrs systems ( + system: + let + pkgs = import nixpkgs { + inherit system; + }; + in + fun pkgs + ); + in + { + devShell = eachSystem ( + pkgs: + with pkgs; + mkShell { + buildInputs = [ + (python3.withPackages (p: with p; [ ])) + uv + ]; + } + ) defaultSystems; + }; + +} diff --git a/run-all-benchmarks.sh b/run-all-benchmarks.sh new file mode 100755 index 0000000..9b823c9 --- /dev/null +++ b/run-all-benchmarks.sh @@ -0,0 +1,210 @@ +#!/bin/bash + +# Script to run benchmarks for all Python SDK E2E instrumentation tests serially. +# Each instrumentation runs with BENCHMARKS=1, producing a comparison of +# SDK disabled vs enabled (RECORD mode) with Go-style ns/op stats. +# +# Usage: +# ./run-all-benchmarks.sh # Run all, 10s per endpoint +# ./run-all-benchmarks.sh -d 20 # Run all, 20s per endpoint +# ./run-all-benchmarks.sh -f flask,fastapi # Run only flask and fastapi +# ./run-all-benchmarks.sh -h # Show help + +set -e + +# Default values +BENCHMARK_DURATION=${BENCHMARK_DURATION:-10} +BENCHMARK_WARMUP=${BENCHMARK_WARMUP:-3} +FILTER="" + +# Colors for output +GREEN='\033[0;32m' +RED='\033[0;31m' +YELLOW='\033[1;33m' +BLUE='\033[0;34m' +NC='\033[0m' # No Color + +usage() { + echo "Usage: $0 [OPTIONS]" + echo "" + echo "Run SDK benchmarks for all (or selected) instrumentations serially." + echo "" + echo "Options:" + echo " -d, --duration N Seconds per endpoint for timed loop (default: 10)" + echo " -w, --warmup N Seconds of warmup per endpoint before timing (default: 3)" + echo " -f, --filter LIST Comma-separated list of instrumentations to benchmark" + echo " e.g. flask,fastapi,django" + echo " -h, --help Show this help message" + echo "" + echo "Environment variables:" + echo " BENCHMARK_DURATION Same as --duration" + echo " BENCHMARK_WARMUP Same as --warmup" + echo " TUSK_CLI_VERSION CLI version to use in Docker builds" + echo "" + echo "Examples:" + echo " $0 # Benchmark all instrumentations" + echo " $0 -d 20 # 20s per endpoint" + echo " $0 -d 30 -w 5 # 30s timed, 5s warmup" + echo " $0 -f flask,fastapi # Only benchmark flask and fastapi" +} + +# Parse arguments +while [[ $# -gt 0 ]]; do + case $1 in + -d|--duration) + if [[ -z "$2" ]] || [[ "$2" == -* ]]; then + echo "Error: --duration requires a number argument" + exit 1 + fi + BENCHMARK_DURATION="$2" + shift 2 + ;; + -w|--warmup) + if [[ -z "$2" ]] || [[ "$2" == -* ]]; then + echo "Error: --warmup requires a number argument" + exit 1 + fi + BENCHMARK_WARMUP="$2" + shift 2 + ;; + -f|--filter) + if [[ -z "$2" ]] || [[ "$2" == -* ]]; then + echo "Error: --filter requires a comma-separated list" + exit 1 + fi + FILTER="$2" + shift 2 + ;; + -h|--help) + usage + exit 0 + ;; + *) + echo "Error: Unknown option $1" + usage + exit 1 + ;; + esac +done + +# Validate numbers +if ! [[ "$BENCHMARK_DURATION" =~ ^[0-9]+$ ]]; then + echo "Error: --duration must be a positive integer" + exit 1 +fi +if ! [[ "$BENCHMARK_WARMUP" =~ ^[0-9]+$ ]]; then + echo "Error: --warmup must be a positive integer" + exit 1 +fi + +# Get the directory where this script is located (SDK root) +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" + +# Discover all e2e test run.sh scripts +ALL_SCRIPTS=($(find "$SCRIPT_DIR/drift/instrumentation" -path "*/e2e-tests/run.sh" -type f | sort)) + +if [ ${#ALL_SCRIPTS[@]} -eq 0 ]; then + echo -e "${RED}No e2e test scripts found!${NC}" + exit 1 +fi + +# Apply filter if provided +RUN_SCRIPTS=() +RUN_NAMES=() +for script in "${ALL_SCRIPTS[@]}"; do + NAME=$(echo "$script" | sed -E 's|.*/instrumentation/([^/]+)/e2e-tests/run.sh|\1|') + if [ -n "$FILTER" ]; then + # Check if NAME is in the comma-separated filter list + if echo ",$FILTER," | grep -q ",$NAME,"; then + RUN_SCRIPTS+=("$script") + RUN_NAMES+=("$NAME") + fi + else + RUN_SCRIPTS+=("$script") + RUN_NAMES+=("$NAME") + fi +done + +NUM_TESTS=${#RUN_SCRIPTS[@]} + +if [ $NUM_TESTS -eq 0 ]; then + echo -e "${RED}No matching instrumentations found for filter: $FILTER${NC}" + echo "Available: $(printf '%s\n' "${ALL_SCRIPTS[@]}" | sed -E 's|.*/instrumentation/([^/]+)/e2e-tests/run.sh|\1|' | tr '\n' ' ')" + exit 1 +fi + +echo "" +echo -e "${BLUE}========================================${NC}" +echo -e "${BLUE}Python SDK Benchmarks${NC}" +echo -e "${BLUE}========================================${NC}" +echo "Instrumentations: ${RUN_NAMES[*]}" +echo "Warmup per endpoint: ${BENCHMARK_WARMUP}s" +echo "Duration per endpoint: ${BENCHMARK_DURATION}s" +echo "Total instrumentations: $NUM_TESTS" +echo -e "${BLUE}========================================${NC}" +echo "" + +# Export benchmark env vars so they pass through docker-compose +export BENCHMARKS=1 +export BENCHMARK_DURATION +export BENCHMARK_WARMUP + +# Track results +OVERALL_EXIT_CODE=0 +declare -a EXIT_CODES + +for i in "${!RUN_SCRIPTS[@]}"; do + SCRIPT="${RUN_SCRIPTS[$i]}" + NAME="${RUN_NAMES[$i]}" + TEST_DIR=$(dirname "$SCRIPT") + + echo "" + echo -e "${BLUE}============================================================${NC}" + echo -e "${BLUE}[$((i + 1))/$NUM_TESTS] Benchmarking: $NAME${NC}" + echo -e "${BLUE}============================================================${NC}" + echo "" + + chmod +x "$SCRIPT" + + set +e + (cd "$TEST_DIR" && ./run.sh) + EXIT_CODE=$? + set -e + + EXIT_CODES+=("$EXIT_CODE") + + if [ $EXIT_CODE -ne 0 ]; then + echo -e "${RED}Benchmark for $NAME failed with exit code $EXIT_CODE${NC}" + OVERALL_EXIT_CODE=1 + fi + + echo "" +done + +# Final summary +echo "" +echo -e "${BLUE}========================================${NC}" +echo -e "${BLUE}Benchmark Summary${NC}" +echo -e "${BLUE}========================================${NC}" + +for i in "${!RUN_NAMES[@]}"; do + NAME="${RUN_NAMES[$i]}" + EXIT_CODE="${EXIT_CODES[$i]}" + + if [ "$EXIT_CODE" -eq 0 ]; then + echo -e "${GREEN} ✓${NC} $NAME" + else + echo -e "${RED} ✗${NC} $NAME (exit code $EXIT_CODE)" + fi +done + +echo -e 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