mirror of
https://github.com/fhswf/aki_prj23_transparenzregister.git
synced 2025-04-24 17:12:34 +02:00
Bumps [pandas-stubs](https://github.com/pandas-dev/pandas-stubs) from 2.1.4.231218 to 2.1.4.231227. <details> <summary>Commits</summary> <ul> <li><a href="9de765a09f
"><code>9de765a</code></a> Version 2.1.4.231227</li> <li><a href="117e97a415
"><code>117e97a</code></a> Type <code>args</code> and <code>kwargs</code> in <code>pipe</code> (<a href="https://redirect.github.com/pandas-dev/pandas-stubs/issues/823">#823</a>)</li> <li><a href="a370cab05e
"><code>a370cab</code></a> itertuples (<a href="https://redirect.github.com/pandas-dev/pandas-stubs/issues/842">#842</a>)</li> <li><a href="888c3cc4fe
"><code>888c3cc</code></a> Upgrade pyright to 1.1.343 (<a href="https://redirect.github.com/pandas-dev/pandas-stubs/issues/845">#845</a>)</li> <li><a href="146cf236be
"><code>146cf23</code></a> OffsetSeries inherits from Series[BaseOffset] (<a href="https://redirect.github.com/pandas-dev/pandas-stubs/issues/844">#844</a>)</li> <li><a href="72b22b527c
"><code>72b22b5</code></a> Series(Mapping) (<a href="https://redirect.github.com/pandas-dev/pandas-stubs/issues/843">#843</a>)</li> <li><a href="52384d3425
"><code>52384d3</code></a> Timestamp -> datetime and Timedelta -> timedelta (<a href="https://redirect.github.com/pandas-dev/pandas-stubs/issues/841">#841</a>)</li> <li><a href="0a567b495d
"><code>0a567b4</code></a> CI: test on 3.12 (<a href="https://redirect.github.com/pandas-dev/pandas-stubs/issues/839">#839</a>)</li> <li><a href="70605ea902
"><code>70605ea</code></a> pin tables to 3.9.1 (<a href="https://redirect.github.com/pandas-dev/pandas-stubs/issues/840">#840</a>)</li> <li><a href="068679ccb9
"><code>068679c</code></a> Allow sequence in groupby level (<a href="https://redirect.github.com/pandas-dev/pandas-stubs/issues/837">#837</a>)</li> <li>Additional commits viewable in <a href="https://github.com/pandas-dev/pandas-stubs/compare/v2.1.4.231218...v2.1.4.231227">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details>
aki_prj23_transparenzregister
Contributions
See the CONTRIBUTING.md about how code should be formatted and what kind of rules we set ourselves.
Available entrypoints
The project has currently the following entrypoint available:
- data-transformation > Transfers all the data from the mongodb into the sql db to make it available as production data.
- data-processing > Processes the data using NLP methods and transfers matched data into the SQL table ready for use.
- reset-sql > Resets all sql tables in the connected db.
- copy-sql > Copys the content of a db to another db.
- webserver > Starts the webserver showing the analysis results.
DB Connection settings
To connect to the SQL db see sql/connector.py To connect to the Mongo db see [connect]
Create a secrets.json
in the root of this repo with the following structure (values to be replaces by desired config):
The sqlite db is alternative to the postgres section.
{
"sqlite": "path-to-sqlite.db",
"postgres": {
"username": "username",
"password": "password",
"host": "localhost",
"database": "db-name",
"port": 5432
},
"mongo": {
"username": "username",
"password": "password",
"host": "localhost",
"database": "transparenzregister",
"port": 27017
}
}
Alternatively, the secrets can be provided as environment variables. One option to do so is to add a .env
file with
the following layout:
PYTHON_POSTGRES_USERNAME=postgres
PYTHON_POSTGRES_PASSWORD=postgres
PYTHON_POSTGRES_HOST=postgres
PYTHON_POSTGRES_DATABASE=postgres
PYTHON_POSTGRES_PORT=5432
PYTHON_MONGO_USERNAME=username
PYTHON_MONGO_HOST=mongodb
PYTHON_MONGO_PASSWORD=password
PYTHON_MONGO_PORT=27017
PYTHON_MONGO_DATABASE=transparenzregister
PYTHON_SQLITE_PATH=PathToSQLite3.db # An overwrite path to an sqllite db
PYTHON_DASH_LOGIN_USERNAME=some-login-to-webgui
PYTHON_DASH_LOGIN_PW=some-pw-to-login-to-webgui
PYTHON_INGEST_SCHEDULE=12 # Every x hours
CR=ghcr.io/fhswf/aki_prj23_transparenzregister
TAG=latest
HTTP_PORT=80
The prefix PYTHON_
can be customized by setting a different prefix
when constructing the ConfigProvider.
Description
Languages
Jupyter Notebook
84.5%
HTML
12.1%
Python
3.3%