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19c5235 | 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 | import random
import pandas as pd
from datetime import datetime, timedelta
import streamlit as st
import pydeck as pdk
# Tekirdağ ili çevresinde rastgele koordinatlar üretir.
def random_coord_tekirdag():
lat = random.uniform(40.95, 41.05)
lon = random.uniform(27.35, 27.6)
return lat, lon
# Verilen koordinatları 4 ondalık basamağa yuvarlar.
def round_coord(coord):
return round(coord[0], 4), round(coord[1], 4)
# Görev verisi
num_gorev = 5
gorev_df = pd.DataFrame({
"Seç" : [True for _ in range(num_gorev)],
"ID" : range(1, num_gorev + 1),
"Görev" : ["Görev "+str(i) for i in range(1, num_gorev + 1)],
"Tür" : [random.choice(["A", "B", "C"]) for _ in range(num_gorev)],
"Konum" : [round_coord(random_coord_tekirdag()) for _ in range(num_gorev)],
"Son Zaman" : [(datetime.now() + timedelta(hours=random.randint(1, 48))).strftime("%Y-%m-%d %H:%M") for _ in range(num_gorev)],
"Öncelik" : [random.choice(["Normal", "Yüksek", "Acil"]) for _ in range(num_gorev)],
"Ekipler" : [",".join(map(str, random.sample(range(1, 6), random.randint(2, 5)))) for _ in range(num_gorev)]
})
# Ekip verisi
num_ekip = 5
ekip_df = pd.DataFrame({
"ID" : range(1, num_ekip + 1),
"Konum" : [round_coord(random_coord_tekirdag()) for _ in range(num_ekip)],
"Görevler" : [[random.choice(gorev_df['ID']) for _ in range(random.randint(1, 3))] for _ in range(num_ekip)]
})
# streamlit session'undaki gorev_data'yı günceller.
def update_gorev_data():
gorev_disp = st.session_state.gorev_disp
gorev_data = st.session_state.gorev_data
# "edited_rows" streamlit özelliğidir.
for row, edited in gorev_disp["edited_rows"].items():
for column, new_value in edited.items():
gorev_data.loc[row, column] = new_value
# streamlit session'undaki "gorev_df" ve "ekip_df"
# dataframe'lerini tanımlar.
def init_dataframes():
if "gorev_data" not in st.session_state:
st.session_state.gorev_data = gorev_df
if "ekip_data" not in st.session_state:
st.session_state.ekip_data = ekip_df
# streamlit session'undaki seçilen görevler ve ekipler için ID,
# latitude ve longitude bilgisi bulunduran iki dataframe döndürür.
def create_map_df():
gData = st.session_state.gorev_data
map_df_gorev = gData[gData["Seç"]==True].copy()
map_df_gorev["lat"] = map_df_gorev["Konum"].apply(lambda x: x[0])
map_df_gorev["lon"] = map_df_gorev["Konum"].apply(lambda x: x[1])
map_df_ekip = st.session_state.ekip_data.copy()
map_df_ekip["lat"] = map_df_ekip["Konum"].apply(lambda x: x[0])
map_df_ekip["lon"] = map_df_ekip["Konum"].apply(lambda x: x[1])
return map_df_gorev[["ID","lat","lon"]], map_df_ekip[["ID","lat","lon"]]
# initialize dataframes
init_dataframes()
map_df_gorev, map_df_ekip = create_map_df()
# set the layout
st.set_page_config(layout="wide")
# Görevler tablosu
st.subheader("📆 Görevler")
# Data editor
gorev_disp = st.data_editor(
st.session_state.gorev_data,
column_config = {
"Seç" : st.column_config.CheckboxColumn("Seç"),
"Öncelik" : st.column_config.SelectboxColumn("Öncelik", options=["Normal", "Yüksek", "Acil"])
},
disabled = ["ID", "Görev", "Tür", "Konum", "Son Zaman"],
hide_index = True,
use_container_width = True,
on_change = update_gorev_data,
key = "gorev_disp"
)
# separator
st.markdown("---")
# second part of the app
col1, col2, col3 = st.columns([4, 4, 2])
# "Ekipler" tablosu
with col1:
st.subheader("👨🚀 Ekipler")
st.dataframe(st.session_state.ekip_data, hide_index=True, use_container_width=True)
# Harita
with col2:
st.subheader("🗺️ Harita")
layers = [
pdk.Layer(
"ScatterplotLayer",
data = map_df_ekip,
get_position = "[lon, lat]",
get_radius = 500,
get_fill_color = [0, 0, 255, 160],
pickable = True
)
]
if not map_df_gorev.empty:
layers.append(
pdk.Layer(
"ScatterplotLayer",
data = map_df_gorev,
get_position = "[lon, lat]",
get_radius = 500,
get_fill_color = [255, 0, 0, 160],
pickable = True
)
)
st.pydeck_chart(
pdk.Deck(
map_style="mapbox://styles/mapbox/streets-v12",
initial_view_state=pdk.ViewState(
latitude = 41.0,
longitude = 27.5,
zoom = 10,
pitch = 0,
),
layers = layers,
tooltip = {"text": "{ID}"}
)
)
# optimizasyon bölmesi
with col3:
st.subheader("🤖 Optimizasyon")
if st.button("✨ Magic!"):
st.success("Optimizasyon çalıştırıldı. Görevler atandı (sözde). 🎯") |