Closes
[SPI-44](https://linear.app/unstructured/issue/SPI-44/spike-replace-chardet-with-charset-normalizer-if-possible).
Removes `chardet` as a dependency, standardizing on
`charset-normalizer`.
This involved:
- Changing `chardet` to `charset-normalizer` in our base dependency file
- Updating the code (in only one place) where `chardet` was used
- pip-compiling to update our published dependency tree
- Updating one test... `charset-normalizer` misdiagnosed the encoding of
a file used as a test fixture. My guess is that the ~10 characters in
the file were not enough for `charset-normalizer` to do a proper
inference, so I re-encoded another slightly longer file that's also used
for encoding testing, and it got that one.
- Updating an ingest test fixture.
- Updating the ingest test fixture update workflow to also update the
expected markdown results (this was a task I missed when adding the
markdown ingest tests)
---------
Co-authored-by: Ahmet Melek <39141206+ahmetmeleq@users.noreply.github.com>
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: qued <qued@users.noreply.github.com>
Co-authored-by: Maksymilian Operlejn <36171422+MaksOpp@users.noreply.github.com>
The sample docs directory contains the following files:
example-10k.html - A 10-K SEC filing in HTML format
layout-parser-paper.pdf - A PDF copy of the layout parser paper
factbook.xml/factbook.xsl - Example XML/XLS files that you can use to test stylesheets
These documents can be used to test out the parsers in the library. In addition, here are
instructions for pulling in some sample docs that are too big to store in the repo.
XBRL 10-K
You can get an example 10-K in inline XBRL format using the following curl. Note, you need
to have the user agent set in the header or the SEC site will reject your request.
curl -O \
-A '${organization} ${email}'
https://www.sec.gov/Archives/edgar/data/311094/000117184321001344/0001171843-21-001344.txt
You can parse this document using the HTML parser.
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