Releases: Unstructured-IO/unstructured
Releases · Unstructured-IO/unstructured
0.14.5
0.14.5
Enhancements
- Filtering for tar extraction Adds tar filtering to the compression module for connectors to avoid decompression malicious content in
.tar.gz
files. This was added to the Pythontarfile
lib in Python 3.12. The change only applies when using Python 3.12 and above. - Use
python-oxmsg
forpartition_msg()
. Outlook MSG emails are now partitioned using thepython-oxmsg
package which resolves some shortcomings of the prior MSG parser.
Features
Fixes
- 8-bit string Outlook MSG files are parsed.
partition_msg()
is now able to parse non-unicode Outlook MSG emails. - Attachments to Outlook MSG files are extracted intact.
partition_msg()
is now able to extract attachments without corruption.
0.14.4
Enhancements
- Move logger error to debug level when PDFminer fails to extract text which includes error message for Invalid dictionary construct.
- Add support for Pinecone serverless Adds Pinecone serverless to the connector tests. Pinecone
serverless will work version versions >=0.14.2, but hadn't been tested until now.
Features
- Allow configuration of the Google Vision API endpoint Add an environment variable to select the Google Vision API in the US or the EU.
Fixes
- Address the issue of unrecognized tables in
UnstructuredTableTransformerModel
When a table is not recognized, theelement.metadata.text_as_html
attribute is set to an empty string. - Remove root handlers in ingest logger. Removes root handlers in ingest loggers to ensure secrets aren't accidentally exposed in Colab notebooks.
- Fix V2 S3 Destination Connector authentication Fixes bugs with S3 Destination Connector where the connection config was neither registered nor properly deserialized.
- Clarified dependence on particular version of
python-docx
Pinnedpython-docx
version to ensure a particular methodunstructured
uses is included. - Ingest preserves original file extension Ingest V2 introduced a change that dropped the original extension for upgraded connectors. This reverts that change.
0.14.3
Enhancements
- Move
category
field from Text class to Element class. partition_docx()
now supports pluggable picture sub-partitioners. A subpartitioner that accepts a DOCXParagraph
and generates elements is now supported. This allows adding a custom sub-partitioner that extracts images and applies OCR or summarization for the image.- Add VoyageAI embedder Adds VoyageAI embeddings to support embedding via Voyage AI.
Features
Fixes
- Fix
partition_pdf()
to keep spaces in the text. The control character\t
is now replaced with a space instead of being removed when merging inferred elements with embedded elements. - Turn off XML resolve entities Sets
resolve_entities=False
for XML parsing withlxml
to avoid text being dynamically injected into the XML document. - Add backward compatibility for the deprecated pdf_infer_table_structure parameter.
- Add the missing
form_extraction_skip_tables
argument to thepartition_pdf_or_image
call.
to avoid text being dynamically injected into the XML document. - Chromadb change from Add to Upsert using element_id to make idempotent
- Diable
table_as_cells
output by default to reduce overhead in partition; nowtable_as_cells
is only produced when the envEXTACT_TABLE_AS_CELLS
istrue
- Reduce excessive logging Change per page ocr info level logging into detail level trace logging
- Replace try block in
document_to_element_list
for handling HTMLDocument Usegetattr(element, "type", "")
to get thetype
attribute of an element when it exists. This is more explicit way to handle the special case for HTML documents and prevents other types of attribute error from being silenced by the try block
0.14.2
Enhancements
- Bump unstructured-inference==0.7.33.
Features
- Add attribution to the
pinecone
connector.
0.14.1
Enhancements
- Refactor code related to embedded text extraction. The embedded text extraction code is moved from
unstructured-inference
tounstructured
.
Features
- Large improvements to the ingest process:
- Support for multiprocessing and async, with limits for both.
- Streamlined to process when mapping CLI invocations to the underlying code
- More granular steps introduced to give better control over process (i.e. dedicated step to uncompress files already in the local filesystem, new optional staging step before upload)
- Use the python client when calling the unstructured api for partitioning or chunking
- Saving the final content is now a dedicated destination connector (local) set as the default if none are provided. Avoids adding new files locally if uploading elsewhere.
- Leverage last modified date when deciding if new files should be downloaded and reprocessed.
- Add attribution to the
pinecone
connector
- Add support for Python 3.12.
unstructured
now works with Python 3.12!
0.14.0
0.14.0
BREAKING CHANGES
- Turn table extraction for PDFs and images off by default. Reverting the default behavior for table extraction to "off" for PDFs and images. A number of users didn't realize we made the change and were impacted by slower processing times due to the extra model call for table extraction.
Enhancements
- Skip unnecessary element sorting in
partition_pdf()
. Skip element sorting when determining whether embedded text can be extracted. - Faster evaluation Support for concurrent processing of documents during evaluation
- Add strategy parameter to
partition_docx()
. Behavior of future enhancements may be sensitive the partitioning strategy. Add this parameter sopartition_docx()
is aware of the requested strategy. - Add GLOBAL_WORKING_DIR and GLOBAL_WORKING_PROCESS_DIR configuration parameteres to control temporary storage.
Features
- Add form extraction basics (document elements and placeholder code in partition). This is to lay the ground work for the future. Form extraction models are not currently available in the library. An attempt to use this functionality will end in a
NotImplementedError
.
Fixes
- Add missing starting_page_num param to partition_image
- Make the filename and file params for partition_image and partition_pdf match the other partitioners
- Fix include_slide_notes and include_page_breaks params in partition_ppt
- Re-apply: skip accuracy calculation feature Overwritten by mistake
- Fix type hint for paragraph_grouper param
paragraph_grouper
can be set toFalse
, but the type hint did not not reflect this previously. - Remove links param from partition_pdf
links
is extracted during partitioning and is not needed as a paramter in partition_pdf. - Improve CSV delimeter detection.
partition_csv()
would raise on CSV files with very long lines. - Fix disk-space leak in
partition_doc()
. Remove temporary file created but not removed whenfile
argument is passed topartition_doc()
. - Fix possible
SyntaxError
orSyntaxWarning
on regex patterns. Change regex patterns to raw strings to avoid these warnings/errors in Python 3.11+. - Fix disk-space leak in
partition_odt()
. Remove temporary file created but not removed whenfile
argument is passed topartition_odt()
. - AstraDB: option to prevent indexing metadata
0.13.7
Enhancements
- Remove
page_number
metadata fields for HTML partition until we have a better strategy to decide page counting. - Extract OCRAgent.get_agent(). Generalize access to the configured OCRAgent instance beyond its use for PDFs.
- Add calculation of table related metrics which take into account colspans and rowspans
Features
- add ability to get ratio of
cid
characters in embedded text extracted bypdfminer
.
Fixes
partition_docx()
handles short table rows. The DOCX format allows a table row to start late and/or end early, meaning cells at the beginning or end of a row can be omitted. While there are legitimate uses for this capability, using it in practice is relatively rare. However, it can happen unintentionally when adjusting cell borders with the mouse. Accommodate this case and generate accurate.text
and.metadata.text_as_html
for these tables.- Remedy macOS test failure not triggered by CI. Generalize temp-file detection beyond hard-coded Linux-specific prefix.
- Remove unnecessary warning log for using default layout model.
- Add chunking to partition_tsv Even though partition_tsv() produces a single Table element, chunking is made available because the Table element is often larger than the desired chunk size and must be divided into smaller chunks.
0.13.6
0.13.5
0.13.5
Enhancements
Features
Fixes
- KeyError raised when updating parent_id In the past, combining
ListItem
elements could result in reusing the same memory location which then led to unexpected side effects when updating element IDs. - Bump unstructured-inference==0.7.29: table transformer predictions are now removed if confidence is below threshold
0.13.4
Enhancements
- Unique and deterministic hash IDs for elements Element IDs produced by any partitioning
function are now deterministic and unique at the document level by default. Before, hashes were
based only on text; however, they now also take into account the element's sequence number on a
page, the page's number in the document, and the document's file name. - Enable remote chunking via unstructured-ingest Chunking using unstructured-ingest was
previously limited to local chunking using the strategiesbasic
andby_title
. Remote chunking
options via the API are now accessible. - Save table in cells format.
UnstructuredTableTransformerModel
is able to return predicted table in cells format
Features
- Add a
PDF_ANNOTATION_THRESHOLD
environment variable to control the capture of embedded links inpartition_pdf()
forfast
strategy. - Add integration with the Google Cloud Vision API. Adds a third OCR provider, alongside Tesseract and Paddle: the Google Cloud Vision API.
Fixes
- Remove ElementMetadata.section field.. This field was unused, not populated by any partitioners.