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207 lines
6.6 KiB
Python
207 lines
6.6 KiB
Python
# Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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import os
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from typing import Any, Dict, Optional
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import requests
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from ._core import (
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extract_api_message_from_payload,
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extract_job_id,
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raise_for_status,
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unwrap_api_response,
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)
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from .errors import (
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NetworkError,
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RequestTimeoutError,
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ResponseFormatError,
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ResultParseError,
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)
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DEFAULT_BASE_URL = "https://paddleocr.aistudio-app.com"
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API_PATH = "/api/v2/ocr/jobs"
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def _raise_for_response(response: requests.Response) -> None:
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if 200 <= response.status_code < 300:
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return
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raise_for_status(response.status_code, _extract_api_message(response))
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def _extract_api_message(response: requests.Response) -> str:
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try:
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payload = response.json()
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except ValueError:
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return response.text
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if isinstance(payload, dict):
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msg = extract_api_message_from_payload(payload)
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if msg:
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return msg
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return response.text
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def _response_json(response: requests.Response) -> Dict[str, Any]:
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try:
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payload = response.json()
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except ValueError as e:
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raise ResponseFormatError(f"Response body is not valid JSON: {e}") from e
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if not isinstance(payload, dict):
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raise ResponseFormatError("Response body must be a JSON object.")
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return payload
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def _response_data(response: requests.Response) -> Dict[str, Any]:
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payload = _response_json(response)
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return unwrap_api_response(payload, response.status_code)
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def _job_id_from_response(response: requests.Response) -> str:
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return extract_job_id(_response_data(response))
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class HTTPClient:
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def __init__(
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self,
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token: str,
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base_url: str,
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timeout: float,
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client_platform: Optional[str] = None,
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):
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self._token = token
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self._base_url = base_url.rstrip("/")
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self._jobs_url = f"{self._base_url}{API_PATH}"
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self._timeout = timeout
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self._session = requests.Session()
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self._session.headers["Authorization"] = f"Bearer {token}"
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if client_platform:
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self._session.headers["Client-Platform"] = client_platform
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@property
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def timeout(self) -> float:
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return self._timeout
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def submit_url(
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self,
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model: str,
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file_url: str,
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optional_payload: dict,
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page_ranges: Optional[str] = None,
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batch_id: Optional[str] = None,
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) -> str:
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body = {
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"fileUrl": file_url,
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"model": model,
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"optionalPayload": optional_payload,
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}
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if page_ranges is not None:
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body["pageRanges"] = page_ranges
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if batch_id is not None:
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body["batchId"] = batch_id
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try:
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resp = self._session.post(
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self._jobs_url,
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json=body,
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timeout=self._timeout,
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)
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except requests.Timeout as e:
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raise RequestTimeoutError(f"Request timed out: {e}") from e
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except requests.ConnectionError as e:
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raise NetworkError(f"Connection failed: {e}") from e
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_raise_for_response(resp)
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return _job_id_from_response(resp)
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def submit_file(
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self,
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model: str,
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file_path: str,
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optional_payload: dict,
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page_ranges: Optional[str] = None,
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batch_id: Optional[str] = None,
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) -> str:
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if not os.path.exists(file_path):
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raise FileNotFoundError(file_path)
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data = {
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"model": model,
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"optionalPayload": json.dumps(optional_payload),
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}
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if page_ranges is not None:
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data["pageRanges"] = page_ranges
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if batch_id is not None:
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data["batchId"] = batch_id
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try:
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with open(file_path, "rb") as f:
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resp = self._session.post(
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self._jobs_url,
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data=data,
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files={"file": f},
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timeout=self._timeout,
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)
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except requests.Timeout as e:
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raise RequestTimeoutError(f"Request timed out: {e}") from e
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except requests.ConnectionError as e:
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raise NetworkError(f"Connection failed: {e}") from e
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_raise_for_response(resp)
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return _job_id_from_response(resp)
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def get_job_status(self, job_id: str) -> Dict[str, Any]:
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try:
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resp = self._session.get(
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f"{self._jobs_url}/{job_id}",
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timeout=self._timeout,
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)
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except requests.Timeout as e:
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raise RequestTimeoutError(f"Request timed out: {e}") from e
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except requests.ConnectionError as e:
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raise NetworkError(f"Connection failed: {e}") from e
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_raise_for_response(resp)
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return _response_data(resp)
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def get_batch_status(self, batch_id: str) -> Dict[str, Any]:
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try:
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resp = self._session.get(
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f"{self._jobs_url}/batch/{batch_id}",
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timeout=self._timeout,
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)
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except requests.Timeout as e:
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raise RequestTimeoutError(f"Request timed out: {e}") from e
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except requests.ConnectionError as e:
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raise NetworkError(f"Connection failed: {e}") from e
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_raise_for_response(resp)
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return _response_data(resp)
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def fetch_jsonl(self, url: str) -> list:
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# Result URLs are often pre-signed object storage links.
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try:
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resp = requests.get(url, timeout=self._timeout)
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except requests.Timeout as e:
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raise RequestTimeoutError(f"Request timed out: {e}") from e
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except requests.ConnectionError as e:
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raise NetworkError(f"Connection failed: {e}") from e
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try:
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resp.raise_for_status()
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lines = resp.text.strip().split("\n")
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results = []
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for line in lines:
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line = line.strip()
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if line:
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results.append(json.loads(line))
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return results
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except json.JSONDecodeError as e:
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raise ResultParseError(f"Malformed JSONL result payload: {e}") from e
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def close(self):
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self._session.close()
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