🐛 tweak default async config to avoid timeouts

docs/extras/code_samples/default_async.txt

@@ -23,23 +23,23 @@ job_id = json_response_enqueue["job"]["id"]
 
 url_parse_queued = f"https://api.mindee.net/v1/products/{account}/{endpoint}/v{version}/documents/queue/{job_id}"
 sleep(4)
-response_parse = requests.get(url_parse_queued, headers=headers)
-tries = 1
-while tries < 10:
+tries = 0
+job_status = ""
+while tries < 30:
+    response_parse = requests.get(url_parse_queued, headers=headers)
     if not response_parse.ok:
         raise RuntimeError(json_response_enqueue["api_request"]["error"])
-
-    response_parse = requests.get(url_parse_queued, headers=headers)
     json_response_parse = response_parse.json()
-    if json_response_parse["job"]["status"] == "completed":
+    job_status = json_response_parse["job"]["status"]
+    if job_status == "completed":
         break
     else:
         print(json_response_parse["job"])
 
     tries += 1
     sleep(2)
 
-if json_response_parse["job"]["status"] != "completed":
+if job_status != "completed":
     raise RuntimeError(f"Async parsing timed out after {tries} tries")
 
 print(json.dumps(json_response_parse["document"], indent=2))

mindee/client.py

@@ -211,9 +211,9 @@ def enqueue_and_parse(
         page_options: Optional[PageOptions] = None,
         cropper: bool = False,
         endpoint: Optional[Endpoint] = None,
-        initial_delay_sec: float = 6,
-        delay_sec: float = 3,
-        max_retries: int = 10,
+        initial_delay_sec: float = 4,
+        delay_sec: float = 2,
+        max_retries: int = 30,
     ) -> AsyncPredictResponse:
         """
         Enqueues to an asynchronous endpoint and automatically polls for a response.