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