Finanical reports are now filtered before beeing added to the SQL
database to only added knwon keys.
Some matching is also done.
The most importend missing reports are printed to be implemented later
on.
Rapidfuzz could be used.
Bumps [dash-cytoscape](https://github.com/plotly/dash-cytoscape) from
0.2.0 to 0.3.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/plotly/dash-cytoscape/releases">dash-cytoscape's
releases</a>.</em></p>
<blockquote>
<h2>v0.3.0 - Add support for Julia, published to CRAN, changes in
documentations</h2>
<h3>Added</h3>
<ul>
<li>Contributed initial build of Julia package.</li>
<li>R package now includes an example application for
<code>cytoCytoscape</code>.</li>
</ul>
<h3>Changed</h3>
<ul>
<li>Dash has been upgraded to 1.* in requirements.txt and
tests/requirements.txt (<a
href="https://redirect.github.com/plotly/dash-cytoscape/issues/123">#123</a>)</li>
<li>React/react-dom have been upgraded to 16.14+ (<a
href="https://redirect.github.com/plotly/dash-cytoscape/issues/117">#117</a>)</li>
<li>Docgen upgraded to 5.3.0 (<a
href="https://redirect.github.com/plotly/dash-cytoscape/issues/117">#117</a>)</li>
<li>Improved prop typing (<a
href="https://redirect.github.com/plotly/dash-cytoscape/issues/117">#117</a>)</li>
</ul>
<h3>Fixed</h3>
<ul>
<li>Various security fixes</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li>See full diff in <a
href="https://github.com/plotly/dash-cytoscape/compare/v0.2.0...v0.3.0">compare
view</a></li>
</ul>
</details>
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</details>
Init `ingestion` container with `fetch_news` target to retrieve latest
news articles from Tagesschau and Handelsblatt twice a day.
Integration of the `find_missing_companies.py` will follow once this is
merged.
Created a dataprocessing pipline that enhances the raw mined data with
Organsiation extractions and sentiment analysis prio to moving the data
to the sql db.
The transfer of matched data is done afterword.
---------
Co-authored-by: SeZett <zeleny.sebastian@fh-swf.de>
Introducing the previously developed method to fetch the financial data
via table parsing (aka "data lake like solution") in a non-destructive
manner by defaulting to the current RegEx-based behaviour.
