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8207382 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 | # 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 time
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,
ResultParseError,
)
from .results import (
BatchStatus,
DocParsingPage,
DocParsingResult,
JobStatus,
OCRPage,
OCRResult,
)
DEFAULT_INITIAL_INTERVAL = 3.0
DEFAULT_MULTIPLIER = 1.5
DEFAULT_MAX_INTERVAL = 15.0
DEFAULT_MAX_WAIT_TIME = 600.0
class Poller:
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
def poll_until_done(self, job_id: str) -> Any:
interval = self._initial_interval
start = time.monotonic()
deadline = start + self._max_wait_time
while True:
now = time.monotonic()
if now >= deadline:
raise PollTimeoutError(job_id, now - start)
data = self._http.get_job_status(job_id)
state = validate_state(data)
if state == "done":
json_url = validate_result_json_url(data)
jsonl_data = 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 - time.monotonic()
if remaining <= 0:
raise PollTimeoutError(job_id, time.monotonic() - start)
time.sleep(min(interval, remaining))
interval = min(interval * self._multiplier, self._max_interval)
def get_status(self, job_id: str) -> JobStatus:
data = self._http.get_job_status(job_id)
return job_status_from_data(job_id, data)
def get_batch_status(self, batch_id: str) -> BatchStatus:
data = self._http.get_batch_status(batch_id)
return parse_batch_status(batch_id, data)
def parse_ocr_result(job_id: str, jsonl_data: list) -> OCRResult:
try:
pages = []
data_info = {}
for line_obj in jsonl_data:
result = line_obj["result"]
if isinstance(result.get("dataInfo"), dict):
data_info.update(result["dataInfo"])
for item in result["ocrResults"]:
pages.append(
OCRPage(
pruned_result=item["prunedResult"],
ocr_image_url=item.get("ocrImage"),
doc_preprocessing_image_url=item.get("docPreprocessingImage"),
input_image_url=item.get("inputImage"),
raw=item,
)
)
return OCRResult(
job_id=job_id,
pages=pages,
data_info=data_info,
)
except (KeyError, TypeError) as e:
raise ResultParseError(f"Malformed OCR result payload: {e}") from e
def parse_doc_parsing_result(job_id: str, jsonl_data: list) -> DocParsingResult:
try:
pages = []
data_info = {}
for line_obj in jsonl_data:
result = line_obj["result"]
if isinstance(result.get("dataInfo"), dict):
data_info.update(result["dataInfo"])
for item in result["layoutParsingResults"]:
markdown = item["markdown"]
pages.append(
DocParsingPage(
markdown_text=markdown["text"],
markdown_images=markdown.get("images", {}),
output_images=item.get("outputImages", {}),
pruned_result=item.get("prunedResult"),
input_image_url=item.get("inputImage"),
exports=item.get("exports", {}),
markdown=markdown,
raw=item,
)
)
return DocParsingResult(
job_id=job_id,
pages=pages,
data_info=data_info,
)
except (KeyError, TypeError) as e:
raise ResultParseError(f"Malformed document parsing result payload: {e}") from e
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