Work around dotnet#7371

- Don't have a threading contention for stdout by only using stdout in the exception case; "starting..." adds minimal value, one can assume if the script is called it starts.
- sleep() the main thread 5s before accessing stdout in case the exception case wants to happen
- Remove most non-error-path logging since it adds little value and multiple threads competing for stdout can cause un-catch-able failure.

src/Microsoft.DotNet.Helix/Sdk/tools/azure-pipelines/reporter/run.py

@@ -1,6 +1,7 @@
 import os
 import re
 import sys
+import time
 import traceback
 import logging
 from queue import Queue
@@ -35,11 +36,9 @@ def __print(self, msg):
     def __process(self, batch):
         self.publisher.upload_batch(batch)
         self.total_uploaded = self.total_uploaded + len(batch)
-        self.__print('uploaded {} results'.format(self.total_uploaded))
 
     def run(self):
         global workerFailed, workerFailedLock
-        self.__print("starting...")
         while True:
             try:
                 item = self.queue.get()
@@ -146,26 +145,20 @@ def main():
             worker.daemon = True
             worker.start()
 
-        log.info("Beginning to read test results...")
+        # https://github.com/dotnet/arcade/issues/7371 - trying to avoid contention for stdout
+        time.sleep(5)
 
         # In case the user puts the results in HELIX_WORKITEM_UPLOAD_ROOT for upload, check there too.
-        all_results = read_results([os.getcwd(),
-                                    get_env("HELIX_WORKITEM_UPLOAD_ROOT")])
+        all_results = read_results([os.getcwd(), get_env("HELIX_WORKITEM_UPLOAD_ROOT")])
 
         batch_size = 1000
         batches = batch(all_results, batch_size)
 
-        log.info("Uploading results in batches of size {}".format(batch_size))
-
         for b in batches:
             q.put(b)
 
-        log.info("Main thread finished queueing batches")
-
         q.join()
 
-        log.info("Main thread exiting")
-
         with workerFailedLock:
             if workerFailed:
                 if check_passed_to_workaround_ado_api_failure([os.getcwd(), get_env("HELIX_WORKITEM_UPLOAD_ROOT")]):