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https://huggingface.co/spaces/phucsd/cham-ocr-studio/resolve/main/ocr-studio/PaddleOCR/paddleocr/_api_client/_async_poller.py
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curl -L -o _async_poller.py https://huggingface.co/spaces/phucsd/cham-ocr-studio/resolve/main/ocr-studio/PaddleOCR/paddleocr/_api_client/_async_poller.py
3.03 kB
| # Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import asyncio | |
| from typing import Any | |
| from ._core import ( | |
| job_status_from_data, | |
| parse_batch_status, | |
| validate_result_json_url, | |
| validate_state, | |
| ) | |
| from .errors import ( | |
| JobFailedError, | |
| PollTimeoutError, | |
| ) | |
| from .results import BatchStatus, JobStatus | |
| DEFAULT_INITIAL_INTERVAL = 3.0 | |
| DEFAULT_MULTIPLIER = 1.5 | |
| DEFAULT_MAX_INTERVAL = 15.0 | |
| DEFAULT_MAX_WAIT_TIME = 600.0 | |
| class AsyncPoller: | |
| def __init__( | |
| self, | |
| http_client, | |
| initial_interval: float = DEFAULT_INITIAL_INTERVAL, | |
| multiplier: float = DEFAULT_MULTIPLIER, | |
| max_interval: float = DEFAULT_MAX_INTERVAL, | |
| max_wait_time: float = DEFAULT_MAX_WAIT_TIME, | |
| ): | |
| self._http = http_client | |
| self._initial_interval = initial_interval | |
| self._multiplier = multiplier | |
| self._max_interval = max_interval | |
| self._max_wait_time = max_wait_time | |
| async def poll_until_done(self, job_id: str) -> Any: | |
| interval = self._initial_interval | |
| loop = asyncio.get_running_loop() | |
| start = loop.time() | |
| deadline = start + self._max_wait_time | |
| while True: | |
| now = loop.time() | |
| if now >= deadline: | |
| raise PollTimeoutError(job_id, now - start) | |
| data = await self._http.get_job_status(job_id) | |
| state = validate_state(data) | |
| if state == "done": | |
| json_url = validate_result_json_url(data) | |
| jsonl_data = await self._http.fetch_jsonl(json_url) | |
| return jsonl_data, data | |
| if state == "failed": | |
| error_msg = data.get("errorMsg", "Unknown error") | |
| raise JobFailedError(job_id, error_msg) | |
| remaining = deadline - loop.time() | |
| if remaining <= 0: | |
| raise PollTimeoutError(job_id, loop.time() - start) | |
| await asyncio.sleep(min(interval, remaining)) | |
| interval = min(interval * self._multiplier, self._max_interval) | |
| async def get_status(self, job_id: str) -> JobStatus: | |
| data = await self._http.get_job_status(job_id) | |
| return job_status_from_data(job_id, data) | |
| async def get_batch_status(self, batch_id: str) -> BatchStatus: | |
| data = await self._http.get_batch_status(batch_id) | |
| return parse_batch_status(batch_id, data) | |