Files
siemens_ragas/rag_eval/dataset_builder/parser/aliyun_docmind_gateway.py

203 lines
8.4 KiB
Python
Raw Normal View History

2026-06-12 14:02:15 +08:00
"""Gateway abstraction for Alibaba Cloud document parsing workflows."""
from __future__ import annotations
import time
from pathlib import Path
from typing import Any
try:
from alibabacloud_docmind_api20220711 import models as docmind_models
from alibabacloud_docmind_api20220711.client import Client as DocmindClient
from alibabacloud_tea_openapi import models as openapi_models
from alibabacloud_tea_util import models as runtime_models
except ImportError:
# Keep Alibaba SDK optional so offline flows and tests can import this module.
DocmindClient = None
docmind_models = None
openapi_models = None
runtime_models = None
try:
from alibabacloud_credentials.client import Client as CredentialClient
except ImportError:
CredentialClient = None
from rag_eval.settings import EvaluationSettings
class AliyunDocmindGateway:
"""Thin gateway interface around the external Alibaba document parser service."""
def __init__(self, settings: EvaluationSettings):
"""Store parser-related settings needed by the gateway implementation."""
self.settings = settings
self._client = None
self._models = None
self._runtime_models = None
def _load_sdk(self) -> tuple[Any, Any, Any, Any]:
"""Load Alibaba SDK modules lazily so tests and offline flows do not require them."""
if (
DocmindClient is None
or openapi_models is None
or docmind_models is None
or runtime_models is None
):
raise ImportError(
"Alibaba Cloud Docmind SDK is not installed. "
"Install alibabacloud-docmind-api20220711, "
"alibabacloud-tea-openapi, alibabacloud-tea-util, and "
"alibabacloud-credentials."
)
return DocmindClient, openapi_models, docmind_models, runtime_models
def _resolve_credentials(self) -> tuple[str, str]:
"""Resolve AccessKey credentials from settings or the Alibaba credentials client."""
if self.settings.alibaba_access_key_id and self.settings.alibaba_access_key_secret:
return self.settings.alibaba_access_key_id, self.settings.alibaba_access_key_secret
if CredentialClient is None:
raise ImportError(
"Alibaba Cloud credentials SDK is not installed and no explicit "
"ALIBABA_ACCESS_KEY_ID / ALIBABA_ACCESS_KEY_SECRET were provided."
)
credential_client = CredentialClient()
credential = credential_client.get_credential()
return credential.get_access_key_id(), credential.get_access_key_secret()
def _init_client(self) -> Any:
"""Create and cache the underlying Alibaba SDK client."""
if self._client is not None:
return self._client
client_class, openapi_models, docmind_models, runtime_models = self._load_sdk()
access_key_id, access_key_secret = self._resolve_credentials()
endpoint = (self.settings.alibaba_endpoint or "docmind-api.cn-hangzhou.aliyuncs.com").strip()
config = openapi_models.Config(
access_key_id=access_key_id,
access_key_secret=access_key_secret,
)
config.endpoint = endpoint
config.region_id = "cn-hangzhou"
config.type = "access_key"
self._client = client_class(config)
self._models = docmind_models
self._runtime_models = runtime_models
return self._client
@staticmethod
def _to_plain_dict(value: Any) -> dict[str, Any]:
"""Convert SDK response objects into ordinary dictionaries."""
if value is None:
return {}
if isinstance(value, dict):
return value
if hasattr(value, "to_map"):
return value.to_map()
if hasattr(value, "__dict__"):
return {
key: getattr(value, key)
for key in vars(value)
if not key.startswith("_")
}
return {}
@staticmethod
def _extract_layouts(payload: Any) -> list[dict[str, Any]]:
"""Convert layout collections from SDK payloads into plain dictionaries."""
if payload is None:
return []
if isinstance(payload, dict):
layouts = payload.get("layouts") or payload.get("Layouts") or []
else:
layouts = getattr(payload, "layouts", None) or getattr(payload, "Layouts", None) or []
normalized: list[dict[str, Any]] = []
for item in layouts:
normalized.append(AliyunDocmindGateway._to_plain_dict(item))
return normalized
def submit_parse_task(self, pdf_path: Path) -> str:
"""Submit one PDF parse task and return the remote task identifier."""
client = self._init_client()
runtime = self._runtime_models.RuntimeOptions()
file_name = pdf_path.name
with pdf_path.open("rb") as handle:
request = self._models.SubmitDocParserJobAdvanceRequest(
file_url_object=handle,
file_name=file_name,
file_name_extension=pdf_path.suffix.lstrip(".").lower() or "pdf",
llm_enhancement=self.settings.aliyun_llm_enhancement,
enhancement_mode=self.settings.aliyun_enhancement_mode,
)
response = client.submit_doc_parser_job_advance(request, runtime)
payload = self._to_plain_dict(getattr(getattr(response, "body", None), "data", None))
task_id = payload.get("id") or payload.get("Id")
if not task_id:
raise RuntimeError(f"Aliyun submit_doc_parser_job_advance returned no task id for {pdf_path.name}")
return str(task_id)
def get_task_status(self, task_id: str) -> dict[str, Any]:
"""Fetch the current parse task status from the remote service."""
client = self._init_client()
request = self._models.QueryDocParserStatusRequest(id=task_id)
response = client.query_doc_parser_status(request)
payload = self._to_plain_dict(getattr(getattr(response, "body", None), "data", None))
status = payload.get("status") or payload.get("Status")
if status is not None and "status" not in payload:
payload["status"] = status
return payload
def fetch_layouts(self, task_id: str) -> list[dict[str, Any]]:
"""Fetch normalized layout pages for a completed parse task."""
client = self._init_client()
layout_num = 0
layout_step_size = min(max(1, self.settings.aliyun_parse_layout_step_size), 3000)
collected: list[dict[str, Any]] = []
while True:
request = self._models.GetDocParserResultRequest(
id=task_id,
layout_step_size=layout_step_size,
layout_num=layout_num,
)
response = client.get_doc_parser_result(request)
payload = getattr(getattr(response, "body", None), "data", None)
layouts = self._extract_layouts(payload)
if not layouts:
break
collected.extend(layouts)
layout_num += len(layouts)
if len(layouts) < layout_step_size:
break
return collected
def parse_document(self, pdf_path: Path) -> dict[str, Any]:
"""Run the submit/poll/fetch cycle and return a raw parse payload."""
task_id = self.submit_parse_task(pdf_path)
started_at = time.monotonic()
poll_interval = max(1, self.settings.aliyun_parse_poll_interval_seconds)
timeout_seconds = max(1, self.settings.aliyun_parse_timeout_seconds)
while True:
status = self.get_task_status(task_id)
state = str(status.get("status", "")).lower()
if state in {"succeeded", "success", "finished"}:
layouts = self.fetch_layouts(task_id)
return {
"task_id": task_id,
"status": state,
"doc_id": status.get("doc_id") or pdf_path.stem,
"doc_name": status.get("doc_name") or pdf_path.name,
"layouts": layouts,
"metadata": status,
}
if state in {"failed", "error"}:
raise RuntimeError(f"Aliyun parse task failed for {pdf_path.name}: {status}")
if time.monotonic() - started_at > timeout_seconds:
raise TimeoutError(f"Aliyun parse task timed out for {pdf_path.name}")
time.sleep(poll_interval)