nanochat/vertex_pipelines/report_step.py
2025-12-01 19:59:58 -05:00

101 lines
3.9 KiB
Python

import os
import sys
import subprocess
import argparse
import shutil
from google.cloud import storage
def download_directory_from_gcs(bucket_name, gcs_path, local_path):
storage_client = storage.Client()
bucket = storage_client.bucket(bucket_name)
blobs = bucket.list_blobs(prefix=gcs_path)
for blob in blobs:
if blob.name.endswith("/"):
continue
relative_path = os.path.relpath(blob.name, gcs_path)
local_file = os.path.join(local_path, relative_path)
os.makedirs(os.path.dirname(local_file), exist_ok=True)
blob.download_to_filename(local_file)
print(f"Downloaded gs://{bucket_name}/{blob.name} to {local_file}")
def upload_directory_to_gcs(local_path, bucket_name, gcs_path):
storage_client = storage.Client()
bucket = storage_client.bucket(bucket_name)
for root, _, files in os.walk(local_path):
for file in files:
local_file = os.path.join(root, file)
relative_path = os.path.relpath(local_file, local_path)
blob_path = os.path.join(gcs_path, relative_path)
blob = bucket.blob(blob_path)
blob.upload_from_file(open(local_file, 'rb'))
print(f"Uploaded {local_file} to gs://{bucket_name}/{blob_path}")
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--gcs-bucket", type=str, required=True, help="GCS bucket for artifacts")
args = parser.parse_args()
# Parse bucket name and prefix
if args.gcs_bucket.startswith("gs://"):
bucket_name = args.gcs_bucket.replace("gs://", "").split("/")[0]
prefix_parts = args.gcs_bucket.replace("gs://", "").split("/")[1:]
prefix = "/".join(prefix_parts) if prefix_parts else ""
else:
bucket_name = args.gcs_bucket
prefix = ""
# Check if report already exists (checkpoint detection)
storage_client = storage.Client()
bucket = storage_client.bucket(bucket_name)
gcs_report_file = os.path.join(prefix, "report.md") if prefix else "report.md"
report_exists = bucket.blob(gcs_report_file).exists()
if report_exists:
print(f"✓ Report already exists at gs://{bucket_name}/{gcs_report_file}")
print("Skipping report generation (already completed)")
return
print(f"Report not found. Generating report...")
# Set local base dir
local_base_dir = "/tmp/nanochat"
os.environ["NANOCHAT_BASE_DIR"] = local_base_dir
os.makedirs(local_base_dir, exist_ok=True)
# Download report dir from GCS
print("Downloading report dir from GCS...")
gcs_report_path = os.path.join(prefix, "report") if prefix else "report"
local_report_dir = os.path.join(local_base_dir, "report")
download_directory_from_gcs(bucket_name, gcs_report_path, local_report_dir)
try:
# Generate the full report.
print("Generating report...")
subprocess.run([sys.executable, "-m", "nanochat.report", "generate"], check=True)
except subprocess.CalledProcessError as e:
print(f"Error generating report: {e}")
raise
# Upload report.md to GCS
print("Uploading report to GCS...")
# report.py generates report.md in local_base_dir/report/report.md AND copies it to current dir.
# We want to upload it to the bucket root or prefix root.
local_report_file = "report.md"
if os.path.exists(local_report_file):
blob_path = os.path.join(prefix, "report.md") if prefix else "report.md"
bucket = storage.Client().bucket(bucket_name)
blob = bucket.blob(blob_path)
blob.upload_from_file(open(local_report_file, 'rb'))
print(f"Uploaded {local_report_file} to gs://{bucket_name}/{blob_path}")
else:
print("Warning: report.md not found in current directory.")
# Also upload the report dir just in case
if os.path.exists(local_report_dir):
upload_directory_to_gcs(local_report_dir, bucket_name, gcs_report_path)
if __name__ == "__main__":
main()