|
| 1 | +import glob |
| 2 | +import subprocess |
| 3 | +import pandas as pd |
| 4 | +import os |
| 5 | + |
| 6 | +PATTERN = "benchmarking_*.py" |
| 7 | +FINAL_CSV_FILENAME = "collated_results.csv" |
| 8 | +GITHUB_SHA = os.getenv("GITHUB_SHA", None) |
| 9 | + |
| 10 | +class SubprocessCallException(Exception): |
| 11 | + pass |
| 12 | + |
| 13 | + |
| 14 | +# Taken from `test_examples_utils.py` |
| 15 | +def run_command(command: list[str], return_stdout=False): |
| 16 | + """ |
| 17 | + Runs `command` with `subprocess.check_output` and will potentially return the `stdout`. Will also properly capture |
| 18 | + if an error occurred while running `command` |
| 19 | + """ |
| 20 | + try: |
| 21 | + output = subprocess.check_output(command, stderr=subprocess.STDOUT) |
| 22 | + if return_stdout: |
| 23 | + if hasattr(output, "decode"): |
| 24 | + output = output.decode("utf-8") |
| 25 | + return output |
| 26 | + except subprocess.CalledProcessError as e: |
| 27 | + raise SubprocessCallException( |
| 28 | + f"Command `{' '.join(command)}` failed with the following error:\n\n{e.output.decode()}" |
| 29 | + ) from e |
| 30 | + |
| 31 | + |
| 32 | +def run_scripts(): |
| 33 | + python_files = sorted(glob.glob(PATTERN)) |
| 34 | + |
| 35 | + for file in python_files: |
| 36 | + if file != "benchmarking_utils.py": |
| 37 | + print(f"****** Running file: {file} ******") |
| 38 | + command = f"python {file}" |
| 39 | + run_command(command.split()) |
| 40 | + |
| 41 | + |
| 42 | +def merge_csvs(): |
| 43 | + all_csvs = glob.glob("*.csv") |
| 44 | + final_df = pd.concat([pd.read_csv(f) for f in all_csvs]).reset_index(drop=True) |
| 45 | + if GITHUB_SHA: |
| 46 | + final_df["github_sha"] = GITHUB_SHA |
| 47 | + final_df.to_csv(FINAL_CSV_FILENAME) |
| 48 | + |
| 49 | + |
| 50 | +if __name__ == "__main__": |
| 51 | + run_scripts() |
| 52 | + merge_csvs() |
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