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import glob
import logging
import os
import subprocess
import pandas as pd
logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(name)s: %(message)s")
logger = logging.getLogger(__name__)
PATTERN = "benchmarking_*.py"
FINAL_CSV_FILENAME = "collated_results.csv"
GITHUB_SHA = os.getenv("GITHUB_SHA", None)
class SubprocessCallException(Exception):
pass
def run_command(command: list[str], return_stdout=False):
try:
output = subprocess.check_output(command, stderr=subprocess.STDOUT)
if return_stdout and hasattr(output, "decode"):
return output.decode("utf-8")
except subprocess.CalledProcessError as e:
raise SubprocessCallException(f"Command `{' '.join(command)}` failed with:\n{e.output.decode()}") from e
def merge_csvs(final_csv: str = "collated_results.csv"):
all_csvs = glob.glob("*.csv")
all_csvs = [f for f in all_csvs if f != final_csv]
if not all_csvs:
logger.info("No result CSVs found to merge.")
return
df_list = []
for f in all_csvs:
try:
d = pd.read_csv(f)
except pd.errors.EmptyDataError:
# If a file existed but was zero‐bytes or corrupted, skip it
continue
df_list.append(d)
if not df_list:
logger.info("All result CSVs were empty or invalid; nothing to merge.")
return
final_df = pd.concat(df_list, ignore_index=True)
if GITHUB_SHA is not None:
final_df["github_sha"] = GITHUB_SHA
final_df.to_csv(final_csv, index=False)
logger.info(f"Merged {len(all_csvs)} partial CSVs → {final_csv}.")
def run_scripts():
python_files = sorted(glob.glob(PATTERN))
python_files = [f for f in python_files if f != "benchmarking_utils.py"]
for file in python_files:
script_name = file.split(".py")[0].split("_")[-1] # example: benchmarking_foo.py -> foo
logger.info(f"\n****** Running file: {file} ******")
partial_csv = f"{script_name}.csv"
if os.path.exists(partial_csv):
logger.info(f"Found {partial_csv}. Removing for safer numbers and duplication.")
os.remove(partial_csv)
command = ["python", file]
try:
run_command(command)
logger.info(f"→ {file} finished normally.")
except SubprocessCallException as e:
logger.info(f"Error running {file}:\n{e}")
finally:
logger.info(f"→ Merging partial CSVs after {file} …")
merge_csvs(final_csv=FINAL_CSV_FILENAME)
logger.info(f"\nAll scripts attempted. Final collated CSV: {FINAL_CSV_FILENAME}")
if __name__ == "__main__":
run_scripts()
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