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import dash
import pandas as pd
import plotly.express as px
from dash import Input, Output, dcc, html
from . import get_fips_standards
dash.register_page(
__name__,
name="FIPS 140",
path="/fips/",
layout=lambda: html.Div(
[
html.H1("This is our FIPS 140 page"),
html.Div("This is our FIPS 140 page content."),
dcc.Graph(id="fips-standard-graph"),
]
),
)
@dash.callback(
Output("fips-standard-graph", "figure"),
Input("fips-standard-graph", "id"), # Dummy input just to trigger at load
)
def update_fips_standards(_):
# Now this runs per-request/user, and you can safely fetch data here!
data = []
for entry in get_fips_standards():
standard = entry["_id"]["standard"]
year = entry["_id"]["year"]
month = entry["_id"]["month"]
count = entry["count"]
# You can create a datetime or just use year/month as string
if year is None or month is None:
continue
date = pd.Timestamp(year=year, month=month, day=1)
data.append({"standard": standard, "date": date, "count": count})
df = pd.DataFrame(data)
# Plot: x = date, y = count, color = standard
fig = px.line(df, x="date", y="count", color="standard", markers=True, title="Documents per Standard per Month")
return fig
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