Colin Maudry
97 lines
2.6 KiB
Python
97 lines
2.6 KiB
Python
import logging
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import dash_bootstrap_components as dbc
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from dash import Dash, dcc, html, page_container, page_registry
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from flask import send_from_directory
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app = Dash(
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external_stylesheets=[dbc.themes.SIMPLEX],
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title="decp.info",
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use_pages=True,
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compress=True,
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)
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# COSMO (belle font, blue),
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# UNITED (rouge, ubuntu font),
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# LUMEN (gros séparateur, blue clair),
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# SIMPLEX (rouge, séparateur)
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# robots.txt
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@app.server.route("/robots.txt")
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def robots():
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return send_from_directory("./assets", "robots.txt", mimetype="text/plain")
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logger = logging.getLogger("decp.info")
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logging.basicConfig(
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format="%(asctime)s %(levelname)-8s %(message)s",
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level=logging.INFO,
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datefmt="%Y-%m-%d %H:%M:%S",
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)
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app.index_string = """
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<!DOCTYPE html>
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<html>
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<head>
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{%metas%}
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<title>{%title%}</title>
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{%favicon%}
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{%css%}
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</head>
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<body>
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{%app_entry%}
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<footer>
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{%config%}
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{%scripts%}
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{%renderer%}
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</footer>
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<script type="application/javascript">
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console.log("Matomo");
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var _paq = window._paq = window._paq || [];
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/* tracker methods like "setCustomDimension" should be called before "trackPageView" */
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_paq.push(['trackPageView']);
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_paq.push(['enableLinkTracking']);
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(function() {
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var u="//analytics.maudry.com/";
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_paq.push(['setTrackerUrl', u+'matomo.php']);
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_paq.push(['setSiteId', '14']);
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var d=document, g=d.createElement('script'), s=d.getElementsByTagName('script')[0];
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g.async=true; g.src=u+'matomo.js'; s.parentNode.insertBefore(g,s);
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})();
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</script>
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</body>
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</html>
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"""
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app.layout = html.Div(
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[
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html.Div(
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[
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html.H1("decp.info"),
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html.Div(
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[
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dcc.Link(
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page["name"], href=page["relative_path"], className="nav"
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)
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for page in page_registry.values()
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]
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),
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],
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className="navbar",
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),
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page_container,
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]
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)
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# @callback(
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# Output(component_id="table", component_property="data", allow_duplicate=True),
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# Input(component_id="search", component_property="value"),
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# prevent_initial_call=True,
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# )
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# def global_search(text):
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# new_df = df
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# new_df = new_df.filter(pl.col("objet").str.contains("(?i)" + text))
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# return new_df.to_dicts()
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if __name__ == "__main__":
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app.run(debug=True)
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