**Summary**
Eliminate historical "idiosyncracies" of `table.metadata.text_as_html`
HTML introduced by `partition_csv()`. Produce minified `.text_as_html`
consistent with that formed by chunking.
**Additional Context**
- CSV `.metadata.text_as_html` is minified (no extra whitespace or
thead, tbody, tfoot elements).
- `table.text` is clean-concatenated-text (CCT) of table.
---------
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: scanny <scanny@users.noreply.github.com>
**Summary**
Eliminate historical "idiosyncracies" of `table.metadata.text_as_html`
HTML introduced by `partition_xlsx()`. Produce minified `.text_as_html`
consistent with that formed by chunking.
**Additional Context**
- XLSX `.text_as_html` is minified (no extra whitespace or thead, tbody,
tfoot elements).
- `table.text` is clean-concatenated-text (CCT) of table.
---------
Co-authored-by: scanny <scanny@users.noreply.github.com>
Closes#2218. When a csv has commas in its content, and the delimiter is
something else, Pandas may throw an error. We can sniff the csv and get
the correct delimiter to pass to Pandas. To verify, try partitioning the
file in the linked bug.
The current code assumes the first line of csv and tsv files are a
header line. Most csv and tsv files don't have a header line, and even
for those that do, dropping this line may not be the desired behavior.
Here is a snippet of code that demonstrates the current behavior and the
proposed fix
```
import pandas as pd
from lxml.html.soupparser import fromstring as soupparser_fromstring
c1 = """
Stanley Cups,,
Team,Location,Stanley Cups
Blues,STL,1
Flyers,PHI,2
Maple Leafs,TOR,13
"""
f = "./test.csv"
with open(f, 'w') as ff:
ff.write(c1)
print("Suggested Improvement Keep First Line")
table = pd.read_csv(f, header=None)
html_text = table.to_html(index=False, header=False, na_rep="")
text = soupparser_fromstring(html_text).text_content()
print(text)
print("\n\nOriginal Looses First Line")
table = pd.read_csv(f)
html_text = table.to_html(index=False, header=False, na_rep="")
text = soupparser_fromstring(html_text).text_content()
print(text)
```
---------
Co-authored-by: cragwolfe <crag@unstructured.io>
Co-authored-by: Yao You <theyaoyou@gmail.com>
Co-authored-by: Yao You <yao@unstructured.io>
* 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
* first pass at partition_tsv
* working tests
* create constants for tests and debug `make test` failure
* make check and tidy
* undo changes for testing locally
* update changelog and version
* fix bricks.rst
* refactor if statements
* make tidy
* fix README and change try/except to if/else
* update changelog and version
* fix\ docstring
