chore: single process import (#265)

to ease debug

app/_import.py

@@ -1,10 +1,12 @@
 import abc
 import math
+import time
 from datetime import datetime
 from multiprocessing import Pool
 from pathlib import Path
 from typing import Iterator, cast
 
+import elasticsearch
 import tqdm
 from elasticsearch import Elasticsearch
 from elasticsearch.helpers import bulk, parallel_bulk
@@ -523,6 +525,16 @@ def run_items_import(
         index = generate_index_object(next_index, config)
         # create the index
         index.save(using=es_client)
+        # it may take some time to create the index
+        for i in range(60):
+            try:
+                index.refresh()
+                break
+            except elasticsearch.NotFoundError:
+                logger.info("Index not ready, waiting 10 seconds")
+                time.sleep(10)
+        else:
+            raise RuntimeError("Index not ready after 600 seconds")
     else:
         # use current index
         next_index = config.index.name
@@ -543,7 +555,15 @@ def run_items_import(
     # run in parallel
     num_errors = 0
     with Pool(num_processes) as pool:
-        for i, success, errors in pool.starmap(import_parallel, args):
+        if num_processes > 1:
+            logger.info("Running in parallel with %d processes", num_processes)
+            result_iter = iter(pool.starmap(import_parallel, args))
+        else:
+            # run sequentially, it's easier to debug if we need it
+            # we won't use the pool in this case
+            logger.info("Running in a single processes")
+            result_iter = iter(map(lambda a: import_parallel(*a), args))
+        for i, success, errors in result_iter:
             # Note: we log here instead of in sub-process because
             # it's easier to avoid mixing logs, and it works better for pytest
             logger.info("[%d] Indexed %d documents", i, success)