File size: 4,421 Bytes
d26280a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 |
# list all folders in benchmark folder
# for each folder, run the benchmark
import contextlib
import json
import os
import subprocess
from datetime import datetime
from itertools import islice
from pathlib import Path
from typing import Iterable, Union
from tabulate import tabulate
from typer import run
def main(
n_benchmarks: Union[int, None] = None,
):
path = Path("benchmark")
folders: Iterable[Path] = path.iterdir()
if n_benchmarks:
folders = islice(folders, n_benchmarks)
benchmarks = []
results = []
for bench_folder in folders:
if os.path.isdir(bench_folder):
print(f"Running benchmark for {bench_folder}")
log_path = bench_folder / "log.txt"
log_file = open(log_path, "w")
process = subprocess.Popen(
[
"python",
"-u", # Unbuffered output
"-m",
"gpt_engineer.cli.main",
bench_folder,
"--steps",
"benchmark",
],
stdout=log_file,
stderr=log_file,
bufsize=0,
)
benchmarks.append(bench_folder)
results.append((process, log_file))
print("You can stream the log file by running:")
print(f"tail -f {log_path}")
print()
for bench_folder, (process, file) in zip(benchmarks, results):
process.wait()
file.close()
print("process", bench_folder.name, "finished with code", process.returncode)
print("Running it. Original benchmark prompt:")
print()
with open(bench_folder / "prompt") as f:
print(f.read())
print()
with contextlib.suppress(KeyboardInterrupt):
subprocess.run(
[
"python",
"-m",
"gpt_engineer.cli.main",
bench_folder,
"--steps",
"evaluate",
],
)
generate_report(benchmarks, path)
def generate_report(benchmarks, benchmark_path):
headers = ["Benchmark", "Ran", "Works", "Perfect", "Notes"]
rows = []
for bench_folder in benchmarks:
memory = bench_folder / ".gpteng" / "memory"
with open(memory / "review") as f:
review = json.loads(f.read())
rows.append(
[
bench_folder.name,
to_emoji(review.get("ran", None)),
to_emoji(review.get("works", None)),
to_emoji(review.get("perfect", None)),
review.get("comments", None),
]
)
table: str = tabulate(rows, headers, tablefmt="pipe")
print("\nBenchmark report:\n")
print(table)
print()
append_to_results = ask_yes_no("Append report to the results file?")
if append_to_results:
results_path = benchmark_path / "RESULTS.md"
current_date = datetime.now().strftime("%Y-%m-%d")
insert_markdown_section(results_path, current_date, table, 2)
def to_emoji(value: bool) -> str:
return "\U00002705" if value else "\U0000274C"
def insert_markdown_section(file_path, section_title, section_text, level):
with open(file_path, "r") as file:
lines = file.readlines()
header_prefix = "#" * level
new_section = f"{header_prefix} {section_title}\n\n{section_text}\n\n"
# Find the first section with the specified level
line_number = -1
for i, line in enumerate(lines):
if line.startswith(header_prefix):
line_number = i
break
if line_number != -1:
lines.insert(line_number, new_section)
else:
print(
f"Markdown file was of unexpected format. No section of level {level} found. "
"Did not write results."
)
return
# Write the file
with open(file_path, "w") as file:
file.writelines(lines)
def ask_yes_no(question: str) -> bool:
while True:
response = input(question + " (y/n): ").lower().strip()
if response == "y":
return True
elif response == "n":
return False
else:
print("Please enter either 'y' or 'n'.")
if __name__ == "__main__":
run(main)
|