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439 | class DashScopeParse(BasePydanticReader):
"""A smart-parser for files."""
api_key: str = Field(
default="",
description="The API key for the DashScope API.",
validate_default=True,
)
workspace_id: str = Field(
default="",
description="The Workspace for the DashScope API.If not set, "
"it will use the default workspace.",
validate_default=True,
)
category_id: str = Field(
default=DASHSCOPE_DEFAULT_DC_CATEGORY,
description="The dc category for the DashScope API.If not set, "
"it will use the default dc category.",
validate_default=True,
)
base_url: str = Field(
default=DASHSCOPE_DEFAULT_BASE_URL,
description="The base URL of the DashScope Parsing API.",
validate_default=True,
)
result_type: ResultType = Field(
default=ResultType.DASHSCOPE_DOCMIND,
description="The result type for the parser.",
)
num_workers: int = Field(
default=4,
gt=0,
lt=10,
description="The number of workers to use sending API requests for parsing.",
)
check_interval: int = Field(
default=5,
description="The interval in seconds to check if the parsing is done.",
)
max_timeout: int = Field(
default=3600,
description="The maximum timeout in seconds to wait for the parsing to finish.",
)
verbose: bool = Field(
default=True, description="Whether to print the progress of the parsing."
)
show_progress: bool = Field(
default=True, description="Show progress when parsing multiple files."
)
ignore_errors: bool = Field(
default=True,
description="Whether or not to ignore and skip errors raised during parsing.",
)
parse_result: bool = Field(
default=True,
description="Whether or not to return parsed text content.",
)
@field_validator("api_key", mode="before", check_fields=True)
def validate_api_key(cls, v: str) -> str:
"""Validate the API key."""
if not v:
import os
api_key = os.getenv("DASHSCOPE_API_KEY", None)
if api_key is None:
raise ValueError("The API key [DASHSCOPE_API_KEY] is required.")
return api_key
return v
@field_validator("workspace_id", mode="before", check_fields=True)
def validate_workspace_id(cls, v: str) -> str:
"""Validate the Workspace."""
if not v:
import os
return os.getenv("DASHSCOPE_WORKSPACE_ID", "")
return v
@field_validator("category_id", mode="before", check_fields=True)
def validate_category_id(cls, v: str) -> str:
"""Validate the category."""
if not v:
import os
return os.getenv("DASHSCOPE_CATEGORY_ID", DASHSCOPE_DEFAULT_DC_CATEGORY)
return v
@field_validator("base_url", mode="before", check_fields=True)
def validate_base_url(cls, v: str) -> str:
"""Validate the base URL."""
if v and v != DASHSCOPE_DEFAULT_BASE_URL:
return v
else:
url = (
os.getenv("DASHSCOPE_BASE_URL", None)
or "https://dashscope.aliyuncs.com"
)
if url and not url.startswith(("http://", "https://")):
raise ValueError(
"The DASHSCOPE_BASE_URL must start with http or https. "
)
return url or DASHSCOPE_DEFAULT_BASE_URL
def _get_dashscope_header(self):
return {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json",
"X-DashScope-WorkSpace": f"{self.workspace_id}",
"X-DashScope-OpenAPISource": "CloudSDK",
}
# upload a document and get back a job_id
async def _create_job(
self, file_path: str, extra_info: Optional[dict] = None
) -> str:
file_path = str(file_path)
UploadFileLeaseResult.is_file_valid(file_path=file_path)
headers = self._get_dashscope_header()
# load data
with open(file_path, "rb") as f:
upload_file_lease_result = self.__upload_lease(file_path, headers)
upload_file_lease_result.upload(file_path, f)
url = f"{self.base_url}/api/v1/datacenter/category/{self.category_id}/add_file"
async with httpx.AsyncClient(timeout=self.max_timeout) as client:
response = await client.post(
url,
headers=headers,
json={
"lease_id": upload_file_lease_result.lease_id,
"parser": ResultType.DASHSCOPE_DOCMIND.value,
},
)
add_file_result = dashscope_response_handler(
response, "add_file", AddFileResult, url=url
)
return add_file_result.file_id
@retry(
stop=stop_after_delay(60),
wait=wait_exponential(multiplier=5, max=60),
before_sleep=before_sleep_log(logger, logging.INFO),
after=after_log(logger, logging.INFO),
reraise=True,
retry=retry_if_exception_type(RetryException),
)
def __upload_lease(self, file_path, headers):
url = f"{self.base_url}/api/v1/datacenter/category/{self.category_id}/upload_lease"
try:
with httpx.Client(timeout=self.max_timeout) as client:
response = client.post(
url,
headers=headers,
json={
"file_name": os.path.basename(file_path),
"size_bytes": os.path.getsize(file_path),
"content_md5": get_file_md5(file_path),
},
)
except httpx.ConnectTimeout:
raise RetryException("Connect timeout")
except httpx.ReadTimeout:
raise RetryException("Read timeout")
except httpx.NetworkError:
raise RetryException("Network error")
upload_file_lease_result = dashscope_response_handler(
response, "upload_lease", UploadFileLeaseResult, url=url
)
logger.info(
f"{file_path} upload lease result: {upload_file_lease_result.lease_id}"
)
return upload_file_lease_result
async def _get_job_result(
self, data_id: str, result_type: str, verbose: bool = False
) -> dict:
result_url = f"{self.base_url}/api/v1/datacenter/category/{self.category_id}/file/{data_id}/download_lease"
status_url = f"{self.base_url}/api/v1/datacenter/category/{self.category_id}/file/{data_id}/query"
headers = self._get_dashscope_header()
start = time.time()
tries = 0
while True:
await asyncio.sleep(1)
tries += 1
query_file_result = await self._dashscope_query(
data_id, headers, status_url
)
status = query_file_result.status
if DatahubDataStatusEnum.PARSE_SUCCESS.value == status:
async with httpx.AsyncClient(timeout=self.max_timeout) as client:
response = await client.post(
result_url, headers=headers, json={"file_id": data_id}
)
down_file_lease_result = dashscope_response_handler(
response,
"download_lease",
DownloadFileLeaseResult,
url=result_url,
)
if self.parse_result:
return {
result_type: down_file_lease_result.download(escape=True),
"job_id": data_id,
}
else:
return {result_type: "{}", "job_id": data_id}
elif (
DatahubDataStatusEnum.PARSING.value == status
or DatahubDataStatusEnum.INIT.value == status
):
end = time.time()
if end - start > self.max_timeout:
raise Exception(f"Timeout while parsing the file: {data_id}")
if verbose and tries % 5 == 0:
print(".", end="", flush=True)
await asyncio.sleep(self.check_interval)
continue
else:
raise Exception(
f"Failed to parse the file: {data_id}, status: {status}"
)
@retry(
stop=stop_after_delay(60),
wait=wait_exponential(multiplier=5, max=60),
before_sleep=before_sleep_log(logger, logging.INFO),
after=after_log(logger, logging.INFO),
reraise=True,
retry=retry_if_exception_type(RetryException),
)
async def _dashscope_query(self, data_id, headers, status_url):
try:
async with httpx.AsyncClient(timeout=self.max_timeout) as client:
response = await client.post(
status_url, headers=headers, json={"file_id": data_id}
)
return dashscope_response_handler(
response, "query", QueryFileResult, url=status_url
)
except httpx.ConnectTimeout:
raise RetryException("Connect timeout")
except httpx.ReadTimeout:
raise RetryException("Read timeout")
except httpx.NetworkError:
raise RetryException("Network error")
async def _aload_data(
self, file_path: str, extra_info: Optional[dict] = None, verbose: bool = False
) -> List[Document]:
"""Load data from the input path."""
try:
data_id = await self._create_job(file_path, extra_info=extra_info)
logger.info(f"Started parsing the file [{file_path}] under [{data_id}]")
result = await self._get_job_result(
data_id, self.result_type.value, verbose=verbose
)
document = Document(
text=result[self.result_type.value],
metadata=extra_info or {},
)
document.id_ = data_id
return [document]
except Exception as e:
logger.error(f"Error while parsing the file '{file_path}':{e!s}")
if self.ignore_errors:
return []
else:
raise
async def aload_data(
self, file_path: Union[List[str], str], extra_info: Optional[dict] = None
) -> List[Document]:
"""Load data from the input path."""
if isinstance(file_path, (str, Path)):
return await self._aload_data(
file_path, extra_info=extra_info, verbose=self.verbose
)
elif isinstance(file_path, list):
jobs = [
self._aload_data(
f,
extra_info=extra_info,
verbose=self.verbose and not self.show_progress,
)
for f in file_path
]
try:
results = await run_jobs(
jobs,
workers=self.num_workers,
desc="Parsing files",
show_progress=self.show_progress,
)
# return flattened results
return [item for sublist in results for item in sublist]
except RuntimeError as e:
if nest_asyncio_err in str(e):
raise RuntimeError(nest_asyncio_msg)
else:
raise
else:
raise ValueError(
"The input file_path must be a string or a list of strings."
)
def load_data(
self, file_path: Union[List[str], str], extra_info: Optional[dict] = None
) -> List[Document]:
extra_info = {"parse_fmt_type": ResultType.DASHSCOPE_DOCMIND.value}
"""Load data from the input path."""
try:
return asyncio.run(self.aload_data(file_path, extra_info))
except RuntimeError as e:
if nest_asyncio_err in str(e):
raise RuntimeError(nest_asyncio_msg)
else:
raise
async def _aget_json(
self, file_path: str, extra_info: Optional[dict] = None
) -> List[dict]:
"""Load data from the input path."""
try:
job_id = await self._create_job(file_path, extra_info=extra_info)
if self.verbose:
logger.info("Started parsing the file under job_id %s" % job_id)
result = await self._get_job_result(
job_id, ResultType.DASHSCOPE_DOCMIND.value
)
result["job_id"] = job_id
result["file_path"] = file_path
return [result]
except Exception as e:
logger.info(f"Error while parsing the file '{file_path}':", e)
if self.ignore_errors:
return []
else:
raise
async def aget_json(
self, file_path: Union[List[str], str], extra_info: Optional[dict] = None
) -> List[dict]:
"""Load data from the input path."""
if isinstance(file_path, (str, Path)):
return await self._aget_json(file_path, extra_info=extra_info)
elif isinstance(file_path, list):
jobs = [self._aget_json(f, extra_info=extra_info) for f in file_path]
try:
results = await run_jobs(
jobs,
workers=self.num_workers,
desc="Parsing files",
show_progress=self.show_progress,
)
# return flattened results
return [item for sublist in results for item in sublist]
except RuntimeError as e:
if nest_asyncio_err in str(e):
raise RuntimeError(nest_asyncio_msg)
else:
raise
else:
raise ValueError(
"The input file_path must be a string or a list of strings."
)
def get_json_result(
self, file_path: Union[List[str], str], extra_info: Optional[dict] = None
) -> List[dict]:
extra_info = {"parse_fmt_type": ResultType.DASHSCOPE_DOCMIND.value}
"""Parse the input path."""
try:
return asyncio.run(self.aget_json(file_path, extra_info))
except RuntimeError as e:
if nest_asyncio_err in str(e):
raise RuntimeError(nest_asyncio_msg)
else:
raise
def get_images(self, json_result: List[dict], download_path: str) -> List[dict]:
raise NotImplementedError
|
