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Download ocr-studio/PaddleOCR/paddleocr/_api_client/_http.py from phucsd/cham-ocr-studio: direct link, hf CLI and curl.
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https://huggingface.co/spaces/phucsd/cham-ocr-studio/resolve/main/ocr-studio/PaddleOCR/paddleocr/_api_client/_http.py
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hf download hf://spaces/phucsd/cham-ocr-studio/ocr-studio/PaddleOCR/paddleocr/_api_client/_http.py
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curl -L -o _http.py https://huggingface.co/spaces/phucsd/cham-ocr-studio/resolve/main/ocr-studio/PaddleOCR/paddleocr/_api_client/_http.py
6.98 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 json | |
| import os | |
| from typing import Any, Dict, Optional | |
| import requests | |
| from ._core import ( | |
| extract_api_message_from_payload, | |
| extract_job_id, | |
| raise_for_status, | |
| unwrap_api_response, | |
| ) | |
| from .errors import ( | |
| NetworkError, | |
| RequestTimeoutError, | |
| ResponseFormatError, | |
| ResultParseError, | |
| ) | |
| DEFAULT_BASE_URL = "https://paddleocr.aistudio-app.com" | |
| API_PATH = "/api/v2/ocr/jobs" | |
| def _raise_for_response(response: requests.Response) -> None: | |
| if 200 <= response.status_code < 300: | |
| return | |
| raise_for_status(response.status_code, _extract_api_message(response)) | |
| def _extract_api_message(response: requests.Response) -> str: | |
| try: | |
| payload = response.json() | |
| except ValueError: | |
| return response.text | |
| if isinstance(payload, dict): | |
| msg = extract_api_message_from_payload(payload) | |
| if msg: | |
| return msg | |
| return response.text | |
| def _response_json(response: requests.Response) -> Dict[str, Any]: | |
| try: | |
| payload = response.json() | |
| except ValueError as e: | |
| raise ResponseFormatError(f"Response body is not valid JSON: {e}") from e | |
| if not isinstance(payload, dict): | |
| raise ResponseFormatError("Response body must be a JSON object.") | |
| return payload | |
| def _response_data(response: requests.Response) -> Dict[str, Any]: | |
| payload = _response_json(response) | |
| return unwrap_api_response(payload, response.status_code) | |
| def _job_id_from_response(response: requests.Response) -> str: | |
| return extract_job_id(_response_data(response)) | |
| class HTTPClient: | |
| def __init__( | |
| self, | |
| token: str, | |
| base_url: str, | |
| timeout: float, | |
| client_platform: Optional[str] = None, | |
| ): | |
| self._token = token | |
| self._base_url = base_url.rstrip("/") | |
| self._jobs_url = f"{self._base_url}{API_PATH}" | |
| self._timeout = timeout | |
| self._session = requests.Session() | |
| self._session.headers["Authorization"] = f"Bearer {token}" | |
| if client_platform: | |
| self._session.headers["Client-Platform"] = client_platform | |
| def timeout(self) -> float: | |
| return self._timeout | |
| def submit_url( | |
| self, | |
| model: str, | |
| file_url: str, | |
| optional_payload: dict, | |
| page_ranges: Optional[str] = None, | |
| batch_id: Optional[str] = None, | |
| ) -> str: | |
| body = { | |
| "fileUrl": file_url, | |
| "model": model, | |
| "optionalPayload": optional_payload, | |
| } | |
| if page_ranges is not None: | |
| body["pageRanges"] = page_ranges | |
| if batch_id is not None: | |
| body["batchId"] = batch_id | |
| try: | |
| resp = self._session.post( | |
| self._jobs_url, | |
| json=body, | |
| timeout=self._timeout, | |
| ) | |
| except requests.Timeout as e: | |
| raise RequestTimeoutError(f"Request timed out: {e}") from e | |
| except requests.ConnectionError as e: | |
| raise NetworkError(f"Connection failed: {e}") from e | |
| _raise_for_response(resp) | |
| return _job_id_from_response(resp) | |
| def submit_file( | |
| self, | |
| model: str, | |
| file_path: str, | |
| optional_payload: dict, | |
| page_ranges: Optional[str] = None, | |
| batch_id: Optional[str] = None, | |
| ) -> str: | |
| if not os.path.exists(file_path): | |
| raise FileNotFoundError(file_path) | |
| data = { | |
| "model": model, | |
| "optionalPayload": json.dumps(optional_payload), | |
| } | |
| if page_ranges is not None: | |
| data["pageRanges"] = page_ranges | |
| if batch_id is not None: | |
| data["batchId"] = batch_id | |
| try: | |
| with open(file_path, "rb") as f: | |
| resp = self._session.post( | |
| self._jobs_url, | |
| data=data, | |
| files={"file": f}, | |
| timeout=self._timeout, | |
| ) | |
| except requests.Timeout as e: | |
| raise RequestTimeoutError(f"Request timed out: {e}") from e | |
| except requests.ConnectionError as e: | |
| raise NetworkError(f"Connection failed: {e}") from e | |
| _raise_for_response(resp) | |
| return _job_id_from_response(resp) | |
| def get_job_status(self, job_id: str) -> Dict[str, Any]: | |
| try: | |
| resp = self._session.get( | |
| f"{self._jobs_url}/{job_id}", | |
| timeout=self._timeout, | |
| ) | |
| except requests.Timeout as e: | |
| raise RequestTimeoutError(f"Request timed out: {e}") from e | |
| except requests.ConnectionError as e: | |
| raise NetworkError(f"Connection failed: {e}") from e | |
| _raise_for_response(resp) | |
| return _response_data(resp) | |
| def get_batch_status(self, batch_id: str) -> Dict[str, Any]: | |
| try: | |
| resp = self._session.get( | |
| f"{self._jobs_url}/batch/{batch_id}", | |
| timeout=self._timeout, | |
| ) | |
| except requests.Timeout as e: | |
| raise RequestTimeoutError(f"Request timed out: {e}") from e | |
| except requests.ConnectionError as e: | |
| raise NetworkError(f"Connection failed: {e}") from e | |
| _raise_for_response(resp) | |
| return _response_data(resp) | |
| def fetch_jsonl(self, url: str) -> list: | |
| # Result URLs are often pre-signed object storage links. | |
| try: | |
| resp = requests.get(url, timeout=self._timeout) | |
| except requests.Timeout as e: | |
| raise RequestTimeoutError(f"Request timed out: {e}") from e | |
| except requests.ConnectionError as e: | |
| raise NetworkError(f"Connection failed: {e}") from e | |
| try: | |
| resp.raise_for_status() | |
| lines = resp.text.strip().split("\n") | |
| results = [] | |
| for line in lines: | |
| line = line.strip() | |
| if line: | |
| results.append(json.loads(line)) | |
| return results | |
| except json.JSONDecodeError as e: | |
| raise ResultParseError(f"Malformed JSONL result payload: {e}") from e | |
| def close(self): | |
| self._session.close() | |