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+23,7 @@ python-dateutil = "^2.8.2" numpy = "1.22.0" toml = "0.10.2" tqdm = "4.62.1" +tenacity = "^8.2.2" [tool.poetry.dev-dependencies] pytest = "^6.2.5" diff --git a/skit_labels/commands.py b/skit_labels/commands.py index 1598c15..b3069d3 100644 --- a/skit_labels/commands.py +++ b/skit_labels/commands.py @@ -17,6 +17,8 @@ import pytz from loguru import logger from requests import JSONDecodeError +from tenacity import retry, wait_exponential, stop_after_attempt +import time from tqdm import tqdm from skit_labels import constants as const @@ -403,10 +405,15 @@ async def upload_dataset_batches( async def upload_file(input_file: str, project_id: str, session: aiohttp.ClientSession) -> str: + """ + Generic upload function where session determines where is the file uploaded to. + As of 10 August 2023, used for Labelstudio uploads + """ with open(input_file, "rb") as f: return await session.post(f"/api/projects/{project_id}/import", data={"file": f}) +@retry(stop=stop_after_attempt(4), wait=wait_exponential(multiplier=60*2, min=60*2, max=60*15)) async def upload_dataset_to_labelstudio( input_file: str, url: str, @@ -421,10 +428,13 @@ async def upload_dataset_to_labelstudio( """ headers = {"Authorization": f"token {token}"} async with aiohttp.ClientSession(url, headers=headers) as session: + start_time = time.time() response = await upload_file(input_file, project_id, session) + logger.info("Time taken for uploading dataset: " + "%.2f" % (time.time() - start_time) + " seconds") if response.status != 201: error_message = await response.text() + logger.warning("Attempt to upload dataset to LS failed. Retrying") raise RuntimeError(f"Failed to upload dataset to LabelStudio: {error_message}, {response.status}") else: response = await response.json()