run script to create eval data files for past weeks and upload to s3

[elray1]

Here is a quick script I have used for this before.

# This script generates predictions for the gbq_qr_hhs_only model for all reference dates.
# Retrospective model fits are generated using the data that would have been available in
# real time.
#
# To maintain transparency about which model outputs were and were not generated in
# real time, these model outputs are stored in flusion/retrospective-hub.

# This script should be run with code/gbq as the working directory:
# python retrospective-experiments/gbq_qr_hhs_only.py

import os
import datetime
from multiprocessing import Pool


def run_command(command):
    """Run system command"""
    os.system(command)


missing_dates = [
    (datetime.date(2024, 10, 7) + datetime.timedelta(-i * 7)).isoformat() \
        for i in range(77)]
missing_dates

output_root = '../../retrospective-hub/model-output'

commands = [f'uv run get_covid_clade_counts.py --as-of={date}' \
                for date in missing_dates]

for command in commands:
    run_command(command)

[elray1]

I (Evan) may need to do the actual s3 upload for these files.