### Summary
- bump unstructured-inference to `0.7.35` which fixed `ValueError` when
converting cells to HTML in the table processing subpipeline
- cut a release for `0.14.8`
---------
Co-authored-by: Matt Robinson <mrobinson@unstructured.io>
Co-authored-by: Matt Robinson <mrobinson@unstructuredai.io>
### Summary
Closes#3173. Removes the `overwrite_schema` kwarg from the Delta Table
connector and bumps the `deltalake` version. Per [this
PR](https://github.com/delta-io/delta-rs/pull/2554) in the `deltalake`
repo, the `overwrite_schema` kwarg is deprecated as of version `0.18.0`.
Users can specify `schema_mode="merge"` to obtain the same behavior.
- `schema_mode="merge"` is equivalent to `overwrite_schema=False`
- `schema_mode="overwrite"` is equivalent to `overwrite_schema=True`
Also adds an `engine` parameter that you can use to set `"rust"` or
`"pyarrow"` as the engine. `engine` defaults to `"pyarrow"` and
`schema_mode` defaults to `None`, which is consistent with the behavior
in `deltalake` documented
[here](https://delta-io.github.io/delta-rs/api/delta_writer/).
### Testing
The Delta Table ingest tests should pass on this PR.
---------
Co-authored-by: Ahmet Melek <39141206+ahmetmeleq@users.noreply.github.com>
Summary:
- bump unstructured-inference to `0.7.33`
- cut a release for `0.14.2`
- add some dependencies that previously came through from the
layoutparser extras.
### Summary
Switches to installing `libreoffice` from the Wolfi repository and
upgrades the `libreoffice` version to `libreoffice==24.x.x`. Resolves a
medium vulnerability in the old `libreoffice` version. Security scanning
with `anchore/grype` was also added to the `test_dockerfile` job.
Requirements were bumped to resolve a vulnerability in the `requests`
library.
### Testing
`test_dockerfile` passes with the updates.
**Summary**
`unstructured` will use table features added in the most recent version
of `python-docx`.
Also update the `lxml` version constraint because `lxml>4.9.2` will not
install on Apple Silicon
(https://github.com/Unstructured-IO/unstructured/issues/1707).
`python-docx` requires `lxml` although other file formats require it as
well.
This PR adds a third OCR provider, alongside Tesseract and Paddle: the
[Google Cloud Vision API](https://cloud.google.com/vision).
It can be used similarly to other OCR methods: set the `OCR_AGENT`
environment variable to the path to the OCR module
(`unstructured.partition.utils.ocr_models.google_vision_ocr.OCRAgentGoogleVision`).
You also need to set the credentials to use Google APIs, for instance by
setting the `GOOGLE_APPLICATION_CREDENTIALS` environment variable.
---------
Co-authored-by: christinestraub <christinemstraub@gmail.com>
**Summary**
Update dependencies to use the new version of `unstructured-inference`
released yesterday. Remedy a few small problems with `make pip-compile`
that stood in the way.
### Description
* The `consistent-deps.sh` was fixed to take into account the ingest
dependencies, causing some errors to show up. New constriants were added
to make that script pass.
* Update all requirements without constraint on pydantic, allowing the
latest version to be pulled in.
* `pikepdf` is causing a conflict but there's a fix on their `main`
branch, just need for the next release to be published. Opened up a
question here to see if we can get that out any sooner: [Do releases
happen on a
schedule?](https://github.com/pikepdf/pikepdf/discussions/574). For now
added `lxml<5` to the constraints.
A couple optimizations:
* `constraints.in` renamed to `constraints.txt` since the whole point is
all dependencies are already pinned and the file never gets compiled
* `constraints.txt` moved to a `requirements/deps` directory as this
never gets compiled by `pip-compile`
* Other dependency files updated to reference the new location of
`base.in` and `constraints.txt`
* make file updated since it was originally written to avoid the
`base.in` and `constraints.in` file
This PR:
- Moves ingest dependencies into local scopes to be able to import
ingest connector classes without the need of installing imported
external dependencies. This allows lightweight use of the classes (not
the instances. to use the instances as intended you'll still need the
dependencies).
- Upgrades the embed module dependencies from `langchain` to
`langchain-community` module (to pass CI [rather than introducing a
pin])
- Does pip-compile
- Does minor refactors in other files to pass `ruff 2.0` checks which
were introduced by pip-compile
Removed `pillow` pin and recompiled. I think it was originally there to
address a conflict, which, as far as I can tell, no longer exists. Also
a security vulnerability was discovered in the older version of
`pillow`.
#### Testing:
CI should pass.
.heic files are an image filetype we have not supported.
#### Testing
```
from unstructured.partition.image import partition_image
png_filename = "example-docs/DA-1p.png"
heic_filename = "example-docs/DA-1p.heic"
png_elements = partition_image(png_filename, strategy="hi_res")
heic_elements = partition_image(heic_filename, strategy="hi_res")
for i in range(len(heic_elements)):
print(heic_elements[i].text == png_elements[i].text)
```
---------
Co-authored-by: christinestraub <christinemstraub@gmail.com>
### Summary
This PR is the second part of the "image extraction" refactor to move it
from unstructured-inference repo to unstructured repo, the first part is
done in
https://github.com/Unstructured-IO/unstructured-inference/pull/299. This
PR adds logic to support extracting images.
### Testing
`git clone -b refactor/remove_image_extraction_code --single-branch
https://github.com/Unstructured-IO/unstructured-inference.git && cd
unstructured-inference && pip install -e . && cd ../`
```
elements = partition_pdf(
filename="example-docs/embedded-images.pdf",
strategy="hi_res",
extract_images_in_pdf=True,
)
print("\n\n".join([str(el) for el in elements]))
```
### Summary
This PR is the second part of `pdfminer` refactor to move it from
`unstructured-inference` repo to `unstructured` repo, the first part is
done in
https://github.com/Unstructured-IO/unstructured-inference/pull/294. This
PR adds logic to merge the extracted layout with the inferred layout.
The updated workflow for the `hi_res` strategy:
* pass the document (as data/filename) to the `inference` repo to get
`inferred_layout` (DocumentLayout)
* pass the `inferred_layout` returned from the `inference` repo and the
document (as data/filename) to the `pdfminer_processing` module, which
first opens the document (create temp file/dir as needed), and splits
the document by pages
* if is_image is `True`, return the passed
inferred_layout(DocumentLayout)
* if is_image is `False`:
* get extracted_layout (TextRegions) from the passed
document(data/filename) by pdfminer
* merge `extracted_layout` (TextRegions) with the passed
`inferred_layout` (DocumentLayout)
* return the `inferred_layout `(DocumentLayout) with updated elements
(all merged LayoutElements) as merged_layout (DocumentLayout)
* pass merged_layout and the document (as data/filename) to the `OCR`
module, which first opens the document (create temp file/dir as needed),
and splits the document by pages (convert PDF pages to image pages for
PDF file)
### Note
This PR also fixes issue #2164 by using functionality similar to the one
implemented in the `fast` strategy workflow when extracting elements by
`pdfminer`.
### TODO
* image extraction refactor to move it from `unstructured-inference`
repo to `unstructured` repo
* improving natural reading order by applying the current default
`xycut` sorting to the elements extracted by `pdfminer`
### Summary
Closes#2033
Updates `partition_via_api` to use `UnstructuredClient` for api calls
instead of `requests`.
Updates associated tests.
Note: This PR does **not** update `partition_multiple_via_api` as
documentation in `unstructured-python-client` indicates it does not
support multiple files. A new issue should be opened to add that
functionality to `unstructured-python-client`.
---------
Co-authored-by: Klaijan <klaijan@unstructured.io>
Co-authored-by: Roman Isecke <136338424+rbiseck3@users.noreply.github.com>
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: rbiseck3 <rbiseck3@users.noreply.github.com>
Summary:
Close: https://github.com/Unstructured-IO/unstructured/issues/1920
* stop passing in empty string from `languages` to tesseract, which will
result in passing empty string to language config `-l` for the tesseract
CLI
* also stop passing in duplicate language code from `languages` to
tesseract OCR
* if we failed to convert any iso languages from the `languages`
parameter, proceed OCR with `eng` as default
### Test
* First confirm the tesseract error `Estimating resolution as X` before
this:
* on the `unstructured-api` repo with main branch, run `make
run-web-app`
* curl to test error from empty string, or just any wrong input like `-F
'languages="eng,de"'`:
```
curl -X 'POST' 'http://0.0.0.0:8000/general/v0/general' \
-H 'accept: application/json' \
-H 'Content-Type: multipart/form-data' \
-F 'files=@sample-docs/layout-parser-paper-with-table.jpg' \
-F 'languages=""' \
-F 'strategy=hi_res' \
-F 'pdf_infer_table_structure=True' \
| jq -C . | less -R
```
* after this change:
* in your unstructured API env, cd to unstructured repo and install it locally with `pip install -e .`
* check out to this branch
* run `make run-web-app` again in api repo
* the curl command return output and see warning in log
---------
Co-authored-by: qued <64741807+qued@users.noreply.github.com>
* **Removed `ebooklib` as a dependency** `ebooklib` is licensed under
AGPL3, which is incompatible with the Apache 2.0 license. Thus it is
being removed.
### Description
Currently the CI caches the CI dependencies but uses the hash of all
files in `requirements/`. This isn't completely accurate since the
ingest dependencies are installed in a later step and don't affect the
cached environment. As part of this PR:
* ingest dependencies were isolated into their own folder in
`requirements/ingest/`
* A new cache setup was introduced in the CI to restore the base cache
-> install ingest dependencies -> cache it with a new id
* new make target created to install all ingest dependencies via `pip
install -r ...`
* updates to Dockerfile to use `find ...` to install all dependencies,
avoiding the need to update this when new deps are added.
* update to pip-compile script to run over all `*.in` files in
`requirements/`
