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427 lines
14 KiB
Python
427 lines
14 KiB
Python
# create_benchmark_table.py
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import argparse
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import json
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import re
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import sys
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from pathlib import Path
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from pprint import pprint
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from collections import defaultdict
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from typing import Dict, Any, Optional
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import pandas as pd
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import html # Import the html module for escaping
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# Regular expression to parse "test_name (size)" format
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DIR_PATTERN = re.compile(r"^(.*?) \((.*?)\)$")
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# Standard location for criterion estimates relative to the benchmark dir
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ESTIMATES_PATH_NEW = Path("new") / "estimates.json"
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# Fallback location (older versions or baseline comparisons)
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ESTIMATES_PATH_BASE = Path("base") / "estimates.json"
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# Standard location for the HTML report relative to the benchmark's specific directory
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REPORT_HTML_RELATIVE_PATH = Path("report") / "index.html"
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def get_default_criterion_report_path() -> Path:
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"""
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Returns the default path for the Criterion benchmark report.
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This is typically 'target/criterion'.
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"""
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return Path("target") / "criterion" / "report" / "index.html"
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def load_criterion_reports(
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criterion_root_dir: Path,
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) -> Dict[str, Dict[str, Dict[str, Any]]]:
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"""
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Loads Criterion benchmark results from a specified directory and finds HTML paths.
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Args:
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criterion_root_dir: The Path object pointing to the main
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'target/criterion' directory.
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Returns:
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A nested dictionary structured as:
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{ test_name: { size: {'json': json_content, 'html_path': relative_html_path}, ... }, ... }
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Returns an empty dict if the root directory is not found or empty.
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"""
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results: Dict[str, Dict[str, Dict[str, Any]]] = defaultdict(dict)
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if not criterion_root_dir.is_dir():
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print(
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f"Error: Criterion root directory not found or is not a directory: {criterion_root_dir}",
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file=sys.stderr,
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)
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return {}
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print(f"Scanning for benchmark reports in: {criterion_root_dir}")
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for item in criterion_root_dir.iterdir():
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if not item.is_dir():
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continue
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match = DIR_PATTERN.match(item.name)
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if not match:
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continue
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test_name = match.group(1).strip()
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size = match.group(2).strip()
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benchmark_dir_name = item.name
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benchmark_dir_path = item
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json_path: Optional[Path] = None
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if (benchmark_dir_path / ESTIMATES_PATH_NEW).is_file():
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json_path = benchmark_dir_path / ESTIMATES_PATH_NEW
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elif (benchmark_dir_path / ESTIMATES_PATH_BASE).is_file():
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json_path = benchmark_dir_path / ESTIMATES_PATH_BASE
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html_path = benchmark_dir_path / REPORT_HTML_RELATIVE_PATH
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if json_path is None or not json_path.is_file():
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print(
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f"Warning: Could not find estimates JSON in {benchmark_dir_path}. Skipping benchmark size '{test_name} ({size})'.",
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file=sys.stderr,
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)
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continue
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if not html_path.is_file():
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print(
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f"Warning: Could not find HTML report at expected location {html_path}. Skipping benchmark size '{test_name} ({size})'.",
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file=sys.stderr,
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)
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continue
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try:
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with json_path.open("r", encoding="utf-8") as f:
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json_data = json.load(f)
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results[test_name][size] = {
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"json": json_data,
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"html_path_relative_to_criterion_root": str(
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Path(benchmark_dir_name) / REPORT_HTML_RELATIVE_PATH
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).replace("\\", "/"),
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}
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except json.JSONDecodeError:
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print(f"Error: Failed to decode JSON from {json_path}", file=sys.stderr)
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except IOError as e:
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print(f"Error: Failed to read file {json_path}: {e}", file=sys.stderr)
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except Exception as e:
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print(
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f"Error: An unexpected error occurred loading {json_path}: {e}",
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file=sys.stderr,
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)
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return dict(results)
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def format_nanoseconds(ns: float) -> str:
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"""Formats nanoseconds into a human-readable string with units."""
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if pd.isna(ns):
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return "-"
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if ns < 1_000:
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return f"{ns:.2f} ns"
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elif ns < 1_000_000:
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return f"{ns / 1_000:.2f} µs"
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elif ns < 1_000_000_000:
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return f"{ns / 1_000_000:.2f} ms"
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else:
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return f"{ns / 1_000_000_000:.2f} s"
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def generate_html_table_with_links(
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results: Dict[str, Dict[str, Dict[str, Any]]], html_base_path: str
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) -> str:
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"""
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Generates a full HTML page with a styled table from benchmark results.
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"""
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css_styles = """
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<style>
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body {
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font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol";
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line-height: 1.6;
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margin: 0;
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padding: 20px;
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background-color: #f4f7f6;
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color: #333;
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}
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.container {
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max-width: 1200px;
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margin: 20px auto;
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padding: 20px;
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background-color: #fff;
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box-shadow: 0 0 15px rgba(0,0,0,0.1);
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border-radius: 8px;
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}
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h1 {
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color: #2c3e50;
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text-align: center;
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margin-bottom: 10px;
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}
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p.subtitle {
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text-align: center;
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margin-bottom: 8px;
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color: #555;
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font-size: 0.95em;
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}
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p.note {
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text-align: center;
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margin-bottom: 25px;
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color: #777;
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font-size: 0.85em;
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}
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.benchmark-table {
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width: 100%;
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border-collapse: collapse;
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margin-top: 25px;
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box-shadow: 0 2px 8px rgba(0,0,0,0.05);
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}
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.benchmark-table th, .benchmark-table td {
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border: 1px solid #dfe6e9; /* Lighter border */
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padding: 12px 15px;
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}
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.benchmark-table th {
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background-color: #3498db; /* Primary blue */
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color: #ffffff;
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font-weight: 600; /* Slightly bolder */
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text-transform: uppercase;
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letter-spacing: 0.05em;
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text-align: center; /* Center align headers */
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}
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.benchmark-table td {
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text-align: right; /* Default for data cells (times) */
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}
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.benchmark-table td:first-child { /* Benchmark Name column */
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font-weight: 500;
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color: #2d3436;
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text-align: left; /* Left align benchmark names */
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}
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.benchmark-table tbody tr:nth-child(even) {
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background-color: #f8f9fa; /* Very light grey for even rows */
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}
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.benchmark-table tbody tr:hover {
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background-color: #e9ecef; /* Slightly darker on hover */
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}
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.benchmark-table a {
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color: #2980b9; /* Link blue */
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text-decoration: none;
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font-weight: 500;
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}
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.benchmark-table a:hover {
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text-decoration: underline;
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color: #1c5a81; /* Darker blue on hover */
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}
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.no-results {
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text-align: center;
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font-size: 1.2em;
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color: #7f8c8d;
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margin-top: 30px;
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}
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</style>
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"""
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html_doc_start = f"""<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Criterion Benchmark Results</title>
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{css_styles}
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</head>
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<body>
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<div class="container">
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<h1 id="criterion-benchmark-results">Criterion Benchmark Results</h1>
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"""
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html_doc_end = """
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</div>
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</body>
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</html>"""
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if not results:
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return f"""{html_doc_start}
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<p class="no-results">No benchmark results found or loaded.</p>
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{html_doc_end}"""
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all_sizes = sorted(
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list(set(size for test_data in results.values() for size in test_data.keys())),
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key=(lambda x: int(x.split("x")[0])),
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)
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all_test_names = sorted(list(results.keys()))
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table_content = """
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<p class="subtitle">Each cell links to the detailed Criterion.rs report for that specific benchmark size.</p>
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<p class="note">Note: Values shown are the midpoint of the mean confidence interval, formatted for readability.</p>
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<p class="note"><a href="report/index.html">[Switch to the standard Criterion.rs report]</a></p>
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<table class="benchmark-table">
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<thead>
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<tr>
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<th>Benchmark Name</th>
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"""
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for size in all_sizes:
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table_content += f"<th>{html.escape(size)}</th>\n"
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table_content += """
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</tr>
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</thead>
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<tbody>
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"""
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for test_name in all_test_names:
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table_content += f"<tr>\n"
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table_content += f" <td>{html.escape(test_name)}</td>\n"
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for size in all_sizes:
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cell_data = results.get(test_name, {}).get(size)
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mean_value = pd.NA
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full_report_url = "#"
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if (
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cell_data
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and "json" in cell_data
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and "html_path_relative_to_criterion_root" in cell_data
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):
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try:
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mean_data = cell_data["json"].get("mean")
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if mean_data and "confidence_interval" in mean_data:
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ci = mean_data["confidence_interval"]
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if "lower_bound" in ci and "upper_bound" in ci:
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lower, upper = ci["lower_bound"], ci["upper_bound"]
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if isinstance(lower, (int, float)) and isinstance(
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upper, (int, float)
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):
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mean_value = (lower + upper) / 2.0
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else:
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print(
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f"Warning: Non-numeric bounds for {test_name} ({size}).",
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file=sys.stderr,
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)
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else:
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print(
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f"Warning: Missing confidence_interval bounds for {test_name} ({size}).",
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file=sys.stderr,
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)
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else:
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print(
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f"Warning: Missing 'mean' data for {test_name} ({size}).",
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file=sys.stderr,
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)
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relative_report_path = cell_data[
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"html_path_relative_to_criterion_root"
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]
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joined_path = Path(html_base_path) / relative_report_path
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full_report_url = str(joined_path).replace("\\", "/")
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except Exception as e:
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print(
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f"Error processing cell data for {test_name} ({size}): {e}",
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file=sys.stderr,
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)
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formatted_mean = format_nanoseconds(mean_value)
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if full_report_url and full_report_url != "#":
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table_content += f' <td><a href="{html.escape(full_report_url)}">{html.escape(formatted_mean)}</a></td>\n'
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else:
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table_content += f" <td>{html.escape(formatted_mean)}</td>\n"
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table_content += "</tr>\n"
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table_content += """
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</tbody>
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</table>
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"""
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return f"{html_doc_start}{table_content}{html_doc_end}"
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if __name__ == "__main__":
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DEFAULT_CRITERION_PATH = "target/criterion"
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DEFAULT_OUTPUT_FILE = "./target/criterion/index.html"
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DEFAULT_HTML_BASE_PATH = ""
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parser = argparse.ArgumentParser(
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description="Load Criterion benchmark results from JSON files and generate an HTML table with links to reports."
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)
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parser.add_argument(
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"--dry-run",
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action="store_true",
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help="Perform a dry run without writing the HTML file.",
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)
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parser.add_argument(
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"--criterion-dir",
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type=str,
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default=DEFAULT_CRITERION_PATH,
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help=f"Path to the main 'target/criterion' directory (default: {DEFAULT_CRITERION_PATH}) containing benchmark data.",
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)
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parser.add_argument(
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"--html-base-path",
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type=str,
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default=DEFAULT_HTML_BASE_PATH,
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help=(
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f"Prefix for HTML links to individual benchmark reports. "
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f"This is prepended to each report's relative path (e.g., 'benchmark_name/report/index.html'). "
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f"If the main output HTML (default: '{DEFAULT_OUTPUT_FILE}') is in the 'target/criterion/' directory, "
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f"this should typically be empty (default: '{DEFAULT_HTML_BASE_PATH}'). "
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),
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)
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parser.add_argument(
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"--output-file",
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type=str,
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default=DEFAULT_OUTPUT_FILE,
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help=f"Path to save the generated HTML summary report (default: {DEFAULT_OUTPUT_FILE}).",
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)
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args = parser.parse_args()
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if args.dry_run:
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print(
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"Dry run mode: No files will be written. Use --dry-run to skip writing the HTML file."
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)
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sys.exit(0)
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criterion_path = Path(args.criterion_dir)
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output_file_path = Path(args.output_file)
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try:
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output_file_path.parent.mkdir(parents=True, exist_ok=True)
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except OSError as e:
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print(
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f"Error: Could not create output directory {output_file_path.parent}: {e}",
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file=sys.stderr,
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)
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sys.exit(1)
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all_results = load_criterion_reports(criterion_path)
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# Generate HTML output regardless of whether results were found (handles "no results" page)
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html_output = generate_html_table_with_links(all_results, args.html_base_path)
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if not all_results:
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print("\nNo benchmark results found or loaded.")
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# Fallthrough to write the "no results" page generated by generate_html_table_with_links
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else:
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print("\nSuccessfully loaded benchmark results.")
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# pprint(all_results) # Uncomment for debugging
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print(
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f"Generating HTML report with links using HTML base path: '{args.html_base_path}'"
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)
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try:
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with output_file_path.open("w", encoding="utf-8") as f:
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f.write(html_output)
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print(f"\nSuccessfully wrote HTML report to {output_file_path}")
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if not all_results:
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sys.exit(1) # Exit with error code if no results, though file is created
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sys.exit(0)
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except IOError as e:
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print(f"Error writing HTML output to {output_file_path}: {e}", file=sys.stderr)
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sys.exit(1)
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except Exception as e:
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print(f"An unexpected error occurred while writing HTML: {e}", file=sys.stderr)
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sys.exit(1)
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