Update `test_json` to not use auto partition due to dependencies. Previously, to run `test_json` requires full requirements installation library to read file types, including but not limited to, docx, pptx, as well as others. Therefore the test will raise error with base installation. With the update, this fix also add to other test files to check its invariant with `elements_to_json`.
### Summary
Closes#1018. Enables `partition_email` and `partition_msg` to detect if
an email has PGP encrypted content. Based on the specification in [RFC
2015](https://www.ietf.org/rfc/rfc2015.txt). The test emails are based
on the example email in the spec. If PGP detected content is detected, a
warning is emitted and an empty set of lists is returned.
### Testing
```python
from unstructured.partition_email import partition_email
filename = "example-docs/eml/fake-encrypted.eml"
partition_email(filename=filename)
```
```python
from unstructured.partition_msg import partition_msg
filename = "example-docs/fake-encrypted.msg"
partition_msgl(filename=filename)
```
### Summary
Closes#1184. Updates `partition_html` to respect the ordering of
`<pre>` tags in HTML documents.
### Testing
The elements in the following example should be in the correct order.
```python
from unstructured.partition.html import partition_html
html_text = """
<pre>The Big Brown Bear</pre>
<div>The big brown bear is growling.</div>
<pre>The big brown bear is sleeping.</pre>
<div>The Big Blue Bear</div>
"""
elements = partition_html(text=html_text)
print("\n\n".join([str(el) for el in elements]))
```
### Summary
Address
[#1136](https://github.com/Unstructured-IO/unstructured/issues/1136) for
`hi_res` and `fast` strategies. The `ocr_only` strategy does not include
coordinates.
- add functionality to switch sort mode between the current `basic`
sorting and the new `xy-cut` sorting for `hi_res` and `fast` strategies
- add the script to evaluate the `xy-cut` sorting approach
- add jupyter notebook to provide evaluation and visualization for the
`xy-cut` sorting approach
### Evaluation
```
export PYTHONPATH=.:$PYTHONPATH && python examples/custom-layout-order/evaluate_xy_cut_sorting.py <file_path> <strategy>
```
Here, the file should be under the project root directory. For example,
```
export PYTHONPATH=.:$PYTHONPATH && python examples/custom-layout-order/evaluate_xy_cut_sorting.py example-docs/multi-column-2p.pdf fast
```
Add test case test_partition_image_with_multipage_tiff that reads multipage TIFF file and
- confirms that the function reads all the pages in the TIFF.
- page number is added to the metadata
This PR is branched from and developed on top of 6d6be99 commit.
### Summary
Closes#1007. Adds a deprecation warning for the `file_filename` kwarg
to `partition`, `partition_via_api`, and `partition_multiple_via_api`.
Also catches a warning in `ebooklib` that we do not want to emit in
`unstructured`.
### Testing
```python
from unstructured.partition.auto import partition
filename = "example-docs/winter-sports.epub"
# Should not emit a warning
with open(filename, "rb") as f:
elements = partition(file=f, metadata_filename="test.epub")
# Should be test.epub
elements[0].metadata.filename
# Should emit a warning
with open(filename, "rb") as f:
elements = partition(file=f, file_filename="test.epub")
# Should be test.epub
elements[0].metadata.filename
# Should raise an error
with open(filename, "rb") as f:
elements = partition(file=f, metadata_filename="test.epub", file_filename="test.epub")
```
- fixes#1079 where partitioning is happening twice in the case of
`strategy="ocr_only"`
- only calls `extractable_elements` if we can predetermine that
`ocr_only` is not a possible strategy even if it was the intended
strategy.
- Adds additional assertion test that `_partition_pdf_or_image_with_ocr`
is not called when falling back to `fast` from `ocr_only`
* pip-compile in order to bump unstructured-inference
* Set the default `ocr_mode` back to `enitre_page` now that [this
error](https://github.com/Unstructured-IO/unstructured-inference/pull/183)
is addressed
* Explicitly add `sphinx-tabs` to `build.in`. This file provides
`docs/requirements.txt`.
* Remove a pinned `pydantic` version
* Fix a makefile command to `pip-compile` a missing ingest file.
### Summary
Updates `partition` to let users know to installs the appropriate extras
if they're missing. Prior to this PR, users would get an exception
stating `partition_pdf` (or whichever function that requires extras)
does not exist.
### Testing
First `pip uninstall ebooklib`. Then run
```python
from unstructured.partition.auto import partition
partition(filename="example-docs/winter-sports.epub")
```
The error should look like
```python
ImportError: partition_epub is not available. Install the epub dependencies with pip install "unstructured[epub]"
```
**Summary**
Closes#747
* Create CI Pipeline for running text, xml, email, and html doc tests
against the library installed without extras
* Create CI Pipeline for running each library extra against their
respective tests
### Summary
Closes#1027
The msg test in question was no longer failing after removing the
quick-fix and comment explaining the issue. However, the test was not
functioning as intended. Test was refactored to appropriately test
`metadata_last_modified` of attachments.
`partition_msg` was then updated to pass `metadata_last_modified` to
`attachment_partitioner`.
The same was done for email partitioning.
### Testing
```
from unstructured.partition.text import partition_text
from unstructured.partition.msg import partition_msg
from unstructured.partition.email import partition_email
filename="example-docs/fake-email-attachment.msg"
elements = partition_msg(filename=filename, attachment_partitioner=partition_text, process_attachments=True, metadata_last_modified="0000-00-00")
# previously, these were different values because last_modified wasn't being updated in attachments
elements[1].metadata.last_modified
elements[-1].text
elements[-1].metadata.last_modified
email_filename="example-docs/eml/fake-email-attachment.eml"
email_elements = partition_email(filename=email_filename, attachment_partitioner=partition_text, process_attachments=True, metadata_last_modified="0000-00-00")
email_elements[1].metadata.last_modified
email_elements[-1].text
email_elements[-1].metadata.last_modified
```
Set to individual_blocks for now to work around [this
bug](https://github.com/Unstructured-IO/unstructured-inference/issues/179).
I verified by printing the current ocr_mode in inference. The
`entire_page` default is overridden.
---------
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: awalker4 <awalker4@users.noreply.github.com>
The reason this test is failing is the API is returning "fast" results
when "hi_res" is requested, which is being tracked in this ticket:
https://github.com/Unstructured-IO/unstructured-api/issues/188 .
This failure was only showing up on the `main` branch, per the commented
out `pytest` skips.
Handle Content-Disposition: inline and attachment without filename
* Add new email test example and test with Content-Disposition: inline.
* Move attachment_info above for loop so it is always defined
* Check if item is inline as well as attachment as these both lack an = character to split on
* Create filename if filename is not specified and write file.
* Update list_attachments with new filename
Fix attachments with = in filename
* Limit split to first match of = to prevent creating a list of more than two parts
* Add example email with attachment name and test for issue
* feat: add functionality to check if a string contains any emoji characters
* feat: add functionality to switch `html` text parser based on whether the `html` text contains emoji
* chore: add `beautifulsoup4` and `emoji` packages to `requirements/base.in` for general use
* chore: update changelog & version
* chore: update changelog & version
* chore: update dependencies
* test: update `EXPECTED_XLS_TEXT_LEN` for `test_auto_partition_xls_from_filename`
* chore: update changelog & version
* feat: add functionality to switch html text parser based on whether the html text contains emoji
* chore: update changelog & version
* fix lint errors
* test: revert the `EXPECTED_XLS_TEXT_LEN` value back
* feat: always use `soupparser_fromstring` to parse `html text`
* fix lint error
* feat: add functionality to check if a string contains any emoji characters
* feat: add functionality to switch `html` text parser based on whether the `html` text contains emoji
* chore: add `beautifulsoup4` and `emoji` packages to `requirements/base.in` for general use
* chore: update changelog & version
* chore: update changelog & version
* chore: update dependencies
* test: update `EXPECTED_XLS_TEXT_LEN` for `test_auto_partition_xls_from_filename`
* chore: update changelog & version
* add auto_paragraph_grouper. add line break pattern.
* combine group_broken_paragraph and blank_line_grouper function
* fix make check errors
* fix make check errors
* fix make check errors
* fix make check errors
* run make tidy to fix errors
* tidy core.py and text.py
* fix blank-line breaker to extends the result and replace new line with space
* fix function name typo
* call group_broken_paragraphs for blank_line_grouper
* edit function name from one_line_grouper to new_line_grouper for consistency
* edit threshold from 0.5 to 0.1
* edit threshold from 0.5 to 0.1
* Revert "call group_broken_paragraphs for blank_line_grouper"
This reverts commit 8fb93b7aa7c4d7e0320ac1e09c77da44c9b6c7d9.
* revert to commit 8fb93b7 and change threshold from 0.5 to 0.1
* edit test_text assertion. remove all BULLETS_PATTERN.
* Update ingest test fixtures (#1052)
Co-authored-by: ahmetmeleq <ahmetmeleq@users.noreply.github.com>
* edit test case in test_xml_partition
* update assertion on test_auto
---------
Co-authored-by: Klaijan Sinteppadon <klaijan@Klaijans-MacBook-Pro.local>
Co-authored-by: Klaijan Sinteppadon <klaijan@klaijans-mbp.mynetworksettings.com>
Co-authored-by: Klaijan Sinteppadon <klaijan@Klaijans-MBP.fios-router.home>
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: ahmetmeleq <ahmetmeleq@users.noreply.github.com>
* feat: add functionality to track emphasized text (`bold/italic` formatting) from paragraph
* chore: add docstring
* chore: fix lint errors
* feat: ignore spaces when extracting emphasized texts from a paragraph
* feat: add functionality to track emphasized text (`bold/italic` formatting) from table
* test: add test case for grabbing emphasized texts from element metadata
* chore: fix lint errors
* chore: update changelog & version
* Update ingest test fixtures (#1047)
* feat: add func for checking on EmailAddress type
* feat: add EmailAddress type
* feat: add check for email type
* feat: add test for cheking EmailAdress type
* feat: update existing example files with email
* feat: add new exampe fileds with email in the text
* fix: apply linter
* feat: update changelog file
* feat: add test for is_email_address function
* don't push
* fix: clean up code
* apply linter
* fix: clean up
* fix: remove file chaanges
* fix: remove not used files for email address test
* fix: remove not necessary tests
* clean up
* fix: apply linter
* fix: update CHANGELOG
* fix: change version
* fix: fix msg test
* fix: apply linter for tests
* fix: remove spaces
* fix: apply linter with longer line
* feat: update documentation
* fix: remove duplicates
* Update getting_started.rst
---------
Co-authored-by: Matt Robinson <mrobinson@unstructured.io>
* split dependencies by document type
* make pip-compile with new requirements
* add extra requirements to setup.py
* add in all docs; re pip-compile
* extra for all docs
* add pandas to xlsx
* dependency requires for tsv and csv
* handling for doc, docx and odt
* dependency check for pypandoc
* required dependencies for pandoc files
* xml and html
* markdown
* msg
* add in pdf
* add in pptx
* add in excel
* add lxml as base req
* extra all docs for local inference
* local inference installs all
* pin pillow version
* fixes for plain text tests
* fixes for doc
* update make commands
* changelog and version
* add xlrd
* update pip-compile
* pin numpy for python 3.8 support
* more constraints
* contraint on scipy
* update install docs
* constrain ipython
* add outlook to pip-compile
* more ipython constraints
* add extras to dockerfile
* pin office365 client
* few doc tweaks
* types as strings
* last pip-compile
* re pip-comple
* make tidy
* make tidy
* add param and test in image table extraction
* version and changelog
* need to publish this one for api repo
* add new param skip_infer_table_types
* use warning
* clean up with mapping
* add test for tsv
* fix test fail
* weird change from merge
* doc nit
* don't use mapping
* correct conflict
* remove default strategy
* working on test
* fixed test, coordinates param needed to be included
* nits
* update changelog
* lint
* update requirements
* Bump inference version
* Pass through the dpi param if available
* Update CHANGELOG
* Check dpi param passed in via unit test
* Bump inference version
* Fix unit test around file info to work on mac as well
* track tags in html
* pass through links as metadata
* add test for grabbing links
* one more link
* changelog and version
* update docs
* fix tests
* update empty link assertion
* ingest-test-fixtures-update
* Update ingest test fixtures (#961)
* add min_partition
* functioning _split_content_to_fit_min_max
* create test and make tidy/check
* fix rebase issues
* fix type hinting, remove unused code, add tests
* various changes and refactoring of methods
* add test, refactor, change var names for debugging purposes
* update test
* make tidy/check
* give more descriptive var names and add comments
* update xml partition via partition_text and create test
* fix <pre> bug for test_partition_html_with_pre_tag
* make tidy
* refactor and fix tests
* make tidy/check
* ingest-test-fixtures-update
* change list comprehension to for loop
* fix error check
Closes issue #521. Implements the same logic as unstructured-inference/PR #136 for the ocr_only strategy.
* Add functionality to convert a PDF in small chunks of pages at a time
* Add functionality to write images to computer storage temporarily instead of keeping them in memory
* Set the file's current position to the beginning after reading the file in convert_to_bytes
auto strategy was choosing the fast strategy in cases where the pdf contents were just a flat image, resulting in no output. This PR changes the behavior of auto so that elements that can be extracted by fast are extracted, a cursory examination of the elements is made to see if there are elements with text present, and if so then these elements are used as the output. Otherwise fallback strategies come into play.
