File size: 4,963 Bytes
6ca4b94 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 |
# /// script
# requires-python = ">=3.12"
# dependencies = [
# "marimo",
# "matplotlib==3.10.1",
# "numpy==2.2.4",
# ]
# ///
import marimo
__generated_with = "0.14.10"
app = marimo.App(css_file="theme.marimo.css", html_head_file="")
@app.cell
def _():
import marimo as mo
return (mo,)
@app.cell
def _(mo):
get_applicant_count, set_applicant_count = mo.state(500)
return get_applicant_count, set_applicant_count
@app.cell
def _(get_applicant_count, mo, set_applicant_count):
applicant_count = mo.ui.number(
start=1,
step=1,
value=get_applicant_count(),
full_width=True,
label="Number of applicants",
on_change=set_applicant_count,
)
return (applicant_count,)
@app.cell
def _(get_applicant_count, mo):
hire_count = mo.ui.number(
start=1,
stop=get_applicant_count() - 1,
step=1,
value=75,
full_width=True,
label="Hire count",
)
return (hire_count,)
@app.cell
def _(mo):
base_rate = mo.ui.slider(
value=40, start=1, stop=100, step=1, full_width=True, label="Base rate"
)
return (base_rate,)
@app.cell
def _(mo):
validity = mo.ui.slider(
value=0.18, start=0.01, stop=1.00, step=0.01, full_width=True, label="Validity"
)
return (validity,)
@app.cell
def _(applicant_count, base_rate, hire_count, validity):
import requests
url = "http://localhost:7860/api/v1/demo/r/demo"
params = {
"applicant_count": applicant_count.value,
"hire_count": hire_count.value,
"base_rate": base_rate.value,
"validity": validity.value,
}
headers = {"accept": "application/json"}
response = requests.post(url, params=params, headers=headers)
return (response,)
@app.cell
def _(response):
import pandas as pd
import plotly.graph_objects as go
from plotly.subplots import make_subplots
json_data = response.json()
data = pd.DataFrame(
{
"var": list(json_data.keys()),
"label": [
"Rightfully hired",
"Incorrectly hired",
"Rightfully rejected",
"Incorrectly rejected",
],
"value": list(json_data.values()),
}
)
data["label_with_value"] = data["label"] + " (" + data["value"].astype(str) + ")"
fig = make_subplots(
rows=1,
cols=2,
specs=[[{"type": "pie"}, {"type": "pie"}]],
subplot_titles=("Hiring Outcome", "Rejection Outcome"),
horizontal_spacing=0.1,
vertical_spacing=0.15,
)
hired_data = data[data["var"].isin(["true_positives", "false_positives"])]
hired_values = hired_data["value"].tolist()
hired_labels = hired_data["label_with_value"].tolist()
rejected_data = data[data["var"].isin(["true_negatives", "false_negatives"])]
rejected_values = rejected_data["value"].tolist()
rejected_labels = rejected_data["label_with_value"].tolist()
fig.add_trace(
go.Pie(
values=hired_values,
labels=hired_labels,
hole=0.5,
marker_colors=["#6b71ed", "#403c5d"],
name="Hiring",
legendgroup="hiring",
showlegend=True,
hoverinfo="none",
),
row=1,
col=1,
)
fig.add_trace(
go.Pie(
values=rejected_values,
labels=rejected_labels,
hole=0.5,
marker_colors=["#6b71ed", "#403c5d"],
name="Rejection",
legendgroup="rejection",
showlegend=True,
hoverinfo="none",
),
row=1,
col=2,
)
fig.update_layout(
autosize=True,
margin=dict(l=0, r=0, t=60, b=20),
legend=dict(
orientation="h",
yanchor="top",
y=-0.1,
xanchor="center",
x=0.5,
font=dict(size=12),
),
title=dict(text=None, x=0.5, font=dict(size=16)),
height=400,
paper_bgcolor="rgba(0,0,0,0)",
plot_bgcolor="rgba(0,0,0,0)",
)
fig.update_annotations(font_size=14, y=1.08)
return (fig,)
@app.cell
def _(applicant_count, base_rate, hire_count, mo, validity):
with mo.status.spinner(subtitle="Loading data ...") as _spinner:
mo.vstack([applicant_count, hire_count, base_rate, validity])
return
@app.cell
def _(applicant_count, base_rate, hire_count, mo, validity):
mo.vstack([applicant_count, hire_count, base_rate, validity])
return
@app.cell
def _(fig, mo, response):
if response.status_code == 200:
fig.show(
config={"displayModeBar": False, "staticPlot": True, "responsive": True}
)
else:
error_msg = mo.md(f"{mo.icon('lucide:ban')} Error in server response")
mo.output.append(error_msg)
return
if __name__ == "__main__":
app.run()
|