introduce cloud logging

Signed-off-by: David Korczynski <[email protected]>

run_all_experiments.py

@@ -26,13 +26,21 @@
 from multiprocessing import Pool, Process
 from typing import Any
 
+import google.cloud.logging
+
 import run_one_experiment
 from data_prep import introspector
 from experiment import benchmark as benchmarklib
 from experiment import evaluator, oss_fuzz_checkout, textcov
 from experiment.workdir import WorkDirs
 from llm_toolkit import models, prompt_builder
 
+try:
+  client = google.cloud.logging.Client()
+  client.setup_logging()
+except google.auth.exceptions.DefaultCredentialsError:
+  pass
+
 logger = logging.getLogger(__name__)
 
 # WARN: Avoid large NUM_EXP for local experiments.
@@ -515,6 +523,9 @@ def main():
 
   args = parse_args()
   _setup_logging(args.log_level)
+  logging.info('Starting experiments on PR branch')
+  logging.warning('Warning from logging')
+  logging.error('Error from exp')
   logger.info('Starting experiments on PR branch')
 
   # Capture time at start