mirror of
https://github.com/hwchase17/langchain
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9fb09c1c30
**Description**: the "page" mode in the AzureAIDocumentIntelligenceParser is not accessible due to a wrong membership test. The mode argument can only be a string (also see the assertion in the `__init__`: `assert self.mode in ["single", "page", "object", "markdown"]`, so the check `elif self.mode == ["page"]:` always fails. As a result, effectively the "object" mode is used when selecting the "page" mode, which may lead to errors. The docstring of the `AzureAIDocumentIntelligenceLoader` also ommitted the `mode` parameter alltogether, so I added it. **Issue**: I could not find a related issue (this class is only 3 weeks old anyways) **Dependencies**: this PR does not introduce or affect dependencies. The current demo notebook and examples are not affected because they all use the default markdown mode.
123 lines
4.4 KiB
Python
123 lines
4.4 KiB
Python
from typing import Any, Iterator, Optional
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from langchain_core.documents import Document
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from langchain_community.document_loaders.base import BaseBlobParser
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from langchain_community.document_loaders.blob_loaders import Blob
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class AzureAIDocumentIntelligenceParser(BaseBlobParser):
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"""Loads a PDF with Azure Document Intelligence
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(formerly Forms Recognizer)."""
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def __init__(
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self,
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api_endpoint: str,
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api_key: str,
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api_version: Optional[str] = None,
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api_model: str = "prebuilt-layout",
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mode: str = "markdown",
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):
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from azure.ai.documentintelligence import DocumentIntelligenceClient
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from azure.core.credentials import AzureKeyCredential
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kwargs = {}
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if api_version is not None:
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kwargs["api_version"] = api_version
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self.client = DocumentIntelligenceClient(
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endpoint=api_endpoint,
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credential=AzureKeyCredential(api_key),
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headers={"x-ms-useragent": "langchain-parser/1.0.0"},
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**kwargs,
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)
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self.api_model = api_model
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self.mode = mode
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assert self.mode in ["single", "page", "object", "markdown"]
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def _generate_docs_page(self, result: Any) -> Iterator[Document]:
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for p in result.pages:
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content = " ".join([line.content for line in p.lines])
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d = Document(
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page_content=content,
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metadata={
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"page": p.page_number,
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},
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)
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yield d
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def _generate_docs_single(self, result: Any) -> Iterator[Document]:
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yield Document(page_content=result.content, metadata={})
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def _generate_docs_object(self, result: Any) -> Iterator[Document]:
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# record relationship between page id and span offset
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page_offset = []
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for page in result.pages:
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# assume that spans only contain 1 element, to double check
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page_offset.append(page.spans[0]["offset"])
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# paragraph
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# warning: paragraph content is overlapping with table content
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for para in result.paragraphs:
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yield Document(
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page_content=para.content,
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metadata={
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"role": para.role,
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"page": para.bounding_regions[0].page_number,
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"bounding_box": para.bounding_regions[0].polygon,
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"type": "paragraph",
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},
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)
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# table
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for table in result.tables:
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yield Document(
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page_content=table.cells, # json object
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metadata={
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"footnote": table.footnotes,
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"caption": table.caption,
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"page": para.bounding_regions[0].page_number,
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"bounding_box": para.bounding_regions[0].polygon,
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"row_count": table.row_count,
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"column_count": table.column_count,
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"type": "table",
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},
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)
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def lazy_parse(self, blob: Blob) -> Iterator[Document]:
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"""Lazily parse the blob."""
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with blob.as_bytes_io() as file_obj:
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poller = self.client.begin_analyze_document(
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self.api_model,
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file_obj,
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content_type="application/octet-stream",
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output_content_format="markdown" if self.mode == "markdown" else "text",
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)
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result = poller.result()
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if self.mode in ["single", "markdown"]:
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yield from self._generate_docs_single(result)
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elif self.mode in ["page"]:
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yield from self._generate_docs_page(result)
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else:
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yield from self._generate_docs_object(result)
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def parse_url(self, url: str) -> Iterator[Document]:
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from azure.ai.documentintelligence.models import AnalyzeDocumentRequest
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poller = self.client.begin_analyze_document(
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self.api_model,
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AnalyzeDocumentRequest(url_source=url),
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# content_type="application/octet-stream",
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output_content_format="markdown" if self.mode == "markdown" else "text",
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)
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result = poller.result()
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if self.mode in ["single", "markdown"]:
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yield from self._generate_docs_single(result)
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elif self.mode in ["page"]:
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yield from self._generate_docs_page(result)
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else:
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yield from self._generate_docs_object(result)
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