Add route for single states

This commit is contained in:
Felix Blanke 2023-09-01 14:47:13 +02:00
parent aaf4ee1863
commit d3c424d90a

51
wsgi.py
View File

@ -11,10 +11,10 @@ import matplotlib.pyplot as plt
import matplotlib.ticker as mtick
import numpy as np
import pandas as pd
from flask import Flask, Markup, render_template, request
from flask import Flask, Markup, abort, render_template, request
from flask_caching import Cache
from download_digital import construct_dataframe, get_bez_data, get_landesbezirk
from download_digital import construct_dataframe, get_bez_data, get_landesbezirk, landesbezirk_dict
config = {
"CACHE_TYPE": "FileSystemCache",
@ -23,6 +23,14 @@ config = {
"CACHE_DIR": "cache",
}
abbrev_dict = {
"BBR": "Berlin-Brandenburg",
"BaWü": "Baden-Württemberg",
"NRW": "Nordrhein-Westfalen",
"RLP": "Rheinland-Pfalz-Saarland",
"SAT": "Sachsen, Sachsen-Anhalt, Thüringen",
}
os.environ["TZ"] = "Europe/Berlin"
time.tzset()
@ -312,9 +320,46 @@ def _print_as_html(df: pd.DataFrame, output_str: list[str], total: int | None =
return output_str
@app.route("/<state>")
@cache.cached(query_string=True)
def state_dashboard(state: str):
if state in abbrev_dict:
state = abbrev_dict[state]
if state not in landesbezirk_dict.values():
abort(404)
importance_factor = request.args.get("importance")
if not importance_factor:
importance_factor = 1.0
else:
importance_factor = float(importance_factor)
fig, df, df_state, timestamp = create_fig(landesbez_strs=[state], fix_lims=False)
svg_string = convert_fig_to_svg(fig)
plt.close()
df["Bundesland"] = df.index.map(get_landesbezirk)
df = df.rename(columns={"Bundesland": "Landesbezirk"})
df_state = df_state.loc[df_state["Landesbezirk"] == state]
df = df.loc[df["Landesbezirk"] == state]
output_str = []
output_str = _print_as_html(df_state, output_str, dropna=False)
output_str = _print_as_html(df, output_str, total=df_state['Digitale Befragung'].sum(), dropna=False)
return render_template(
"base.html",
tables="\n".join(output_str),
timestamp=timestamp,
image=svg_string,
)
@app.route("/")
@cache.cached(query_string=True)
def tables():
def dashboard():
importance_factor = request.args.get("importance")
if not importance_factor:
importance_factor = 1.0