Spaces:
Sleeping
Sleeping
File size: 10,184 Bytes
ea0f50a fa5b897 cdfa78b 45d1fb4 ea0f50a e52b51a ea0f50a e52b51a 0c2193f cdfa78b 0c2193f cdfa78b 0c2193f bf9e114 0c2193f bf9e114 fa5b897 0c2193f bf9e114 0c2193f bf9e114 fa5b897 0c2193f bf9e114 0c2193f bf9e114 0c2193f e52b51a 5497b6a e52b51a 5497b6a bf9e114 0c2193f e52b51a 45d1fb4 bf9e114 45d1fb4 bf9e114 0c2193f bf9e114 0c2193f bf9e114 0c2193f e52b51a bf9e114 e52b51a 0c2193f bf9e114 0c2193f bf9e114 0c2193f e52b51a bf9e114 e52b51a bf9e114 e52b51a bf9e114 e52b51a bf9e114 e52b51a 0c2193f bf9e114 0c2193f bf9e114 0c2193f bf9e114 ea0f50a dd699be ea0f50a fa5b897 0c2193f dd699be 0c2193f fa5b897 0c2193f fa5b897 cdfa78b fa5b897 e52b51a 0c2193f fa5b897 dd699be fa5b897 dd699be fa5b897 0c2193f fa5b897 0c2193f dd699be fa5b897 dd699be f987d19 dd699be 0c2193f fa5b897 dd699be fa5b897 f987d19 fa5b897 dd699be fa5b897 ea0f50a dd699be e52b51a ea0f50a | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 | import streamlit as st
import pandas as pd
import numpy as np
from datetime import datetime, timedelta
import networkx as nx
import plotly.graph_objs as go
class TaskDependencyManager:
def __init__(self):
self.dependency_graph = nx.DiGraph()
def add_task(self, task_data):
"""
Tambahkan tugas baru ke dalam graph dependency
"""
task_name = task_data['Task Name']
# Tambahkan node tugas ke graph
if task_name not in self.dependency_graph.nodes():
self.dependency_graph.add_node(task_name)
# Tambahkan dependency predecessor
predecessor = task_data.get('Predecessor', '-')
if predecessor and predecessor != '-':
if predecessor not in self.dependency_graph.nodes():
self.dependency_graph.add_node(predecessor)
if not self._is_cyclic_dependency(predecessor, task_name):
self.dependency_graph.add_edge(predecessor, task_name)
# Tambahkan dependency successor
successor = task_data.get('Successor', '-')
if successor and successor != '-':
if successor not in self.dependency_graph.nodes():
self.dependency_graph.add_node(successor)
if not self._is_cyclic_dependency(task_name, successor):
self.dependency_graph.add_edge(task_name, successor)
def _is_cyclic_dependency(self, source, target):
"""
Cek apakah menambahkan edge akan menciptakan siklus dalam graph
"""
try:
return nx.has_path(self.dependency_graph, target, source)
except nx.NetworkXError:
return False
def get_task_dependencies(self, task_name):
"""
Dapatkan predecessor dan successor suatu tugas
"""
try:
predecessors = list(self.dependency_graph.predecessors(task_name))
successors = list(self.dependency_graph.successors(task_name))
return {
'predecessors': ', '.join(predecessors) if predecessors else '-',
'successors': ', '.join(successors) if successors else '-'
}
except nx.NetworkXError:
return {
'predecessors': '-',
'successors': '-'
}
def create_dependency_visualization(self):
"""
Buat visualisasi graph dependency dengan posisi node yang optimal
"""
if not self.dependency_graph.nodes():
return None
# Layout untuk positioning node
try:
pos = nx.kamada_kawai_layout(self.dependency_graph)
except:
pos = nx.spring_layout(self.dependency_graph, k=0.5, seed=42)
# Trace untuk edges
edge_x, edge_y = [], []
for edge in self.dependency_graph.edges():
x0, y0 = pos[edge[0]]
x1, y1 = pos[edge[1]]
edge_x.extend([x0, x1, None])
edge_y.extend([y0, y1, None])
edge_trace = go.Scatter(
x=edge_x, y=edge_y,
line=dict(width=1.5, color='#888', dash='dot'),
hoverinfo='none',
mode='lines')
# Trace untuk nodes
node_x, node_y, node_text = [], [], []
node_degrees = dict(self.dependency_graph.degree())
for node in self.dependency_graph.nodes():
x, y = pos[node]
node_x.append(x)
node_y.append(y)
node_text.append(f"{node} (Koneksi: {node_degrees[node]})")
node_trace = go.Scatter(
x=node_x, y=node_y,
text=node_text,
mode='markers+text',
textposition='top center',
hoverinfo='text',
marker=dict(
showscale=True,
colorscale='Viridis',
size=[20 + 10 * node_degrees[node] for node in self.dependency_graph.nodes()],
color=[node_degrees[node] for node in self.dependency_graph.nodes()],
colorbar=dict(
thickness=15,
title='Tingkat Koneksi',
xanchor='left'
),
line_width=2
)
)
layout = go.Layout(
title='Graph Dependency Proyek',
titlefont_size=16,
showlegend=False,
hovermode='closest',
margin=dict(b=20, l=5, r=5, t=40),
xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
yaxis=dict(showgrid=False, zeroline=False, showticklabels=False)
)
return go.Figure(data=[edge_trace, node_trace], layout=layout)
class StreamlitProjectApp:
def __init__(self):
# Inisialisasi session state untuk task management
if 'tasks' not in st.session_state:
st.session_state.tasks = pd.DataFrame(columns=[
'Task Name', 'Start Date', 'End Date',
'Duration', 'Complexity', 'Predecessor', 'Successor',
'Progress', 'Cost'
])
# Inisialisasi dependency manager
self.dependency_manager = TaskDependencyManager()
# Load existing tasks from session state
for _, task in st.session_state.tasks.iterrows():
self.dependency_manager.add_task(task.to_dict())
def run(self):
# Konfigurasi halaman Streamlit
st.set_page_config(page_title="Project Dependency Optimizer", page_icon="๐", layout="wide")
st.title("๐ Advanced Project Dependency Optimizer")
# Tab untuk berbagai fungsionalitas
tab1, tab2, tab3 = st.tabs(["Manajemen Tugas", "Analisis Proyek", "Visualisasi Dependency"])
with tab1:
self._render_task_management()
with tab2:
self._render_project_metrics()
with tab3:
self._render_dependency_visualization()
def _render_task_management(self):
st.subheader("Daftar dan Manajemen Tugas")
# Buat kolom untuk editing
edited_tasks = st.data_editor(
st.session_state.tasks,
num_rows="dynamic",
column_config={
"Task Name": st.column_config.TextColumn("Nama Tugas"),
"Start Date": st.column_config.DateColumn("Tanggal Mulai"),
"End Date": st.column_config.DateColumn("Tanggal Selesai"),
"Duration": st.column_config.NumberColumn("Durasi (Hari)", min_value=1),
"Complexity": st.column_config.SelectboxColumn(
"Kompleksitas",
options=['Low', 'Medium', 'High']
),
"Predecessor": st.column_config.TextColumn("Predecessor"),
"Successor": st.column_config.TextColumn("Successor"),
"Progress": st.column_config.ProgressColumn(
"Progress", format="%d%%", min_value=0, max_value=100
),
"Cost": st.column_config.NumberColumn("Biaya", min_value=0)
},
use_container_width=True
)
# Tombol update
if st.button("Perbarui Data Tugas"):
try:
# Validasi duplikasi nama tugas
if len(edited_tasks['Task Name'].unique()) != len(edited_tasks):
st.error("Terdapat duplikasi nama tugas. Setiap tugas harus memiliki nama unik.")
return
# Update session state
st.session_state.tasks = edited_tasks
# Reset dependency manager
self.dependency_manager = TaskDependencyManager()
for _, task in st.session_state.tasks.iterrows():
self.dependency_manager.add_task(task.to_dict())
# Re-run dengan metode kompatibel multi-versi
if hasattr(st, 'experimental_rerun'):
st.experimental_rerun()
elif hasattr(st, 'rerun'):
st.rerun()
else:
st.experimental_rerun()
except Exception as e:
st.error(f"Gagal memperbarui data: {e}")
def _render_project_metrics(self):
st.subheader("Ringkasan Metrik Proyek")
metrics = self._calculate_project_metrics()
if metrics:
col1, col2, col3 = st.columns(3)
with col1:
st.metric("Total Tugas", metrics['Total Tasks'])
st.metric("Total Durasi (Hari)", metrics['Total Duration'])
with col2:
st.metric("Total Biaya", f"Rp {metrics['Total Cost']:,}")
st.metric("Rata-rata Kompleksitas",
{1: 'Low', 2: 'Medium', 3: 'High'}.get(round(metrics['Avg Complexity']), 'N/A')
)
with col3:
st.metric("Rata-rata Progress", f"{metrics['Avg Progress']:.2f}%")
else:
st.info("Belum ada tugas yang ditambahkan")
def _calculate_project_metrics(self):
"""
Hitung metrik proyek secara keseluruhan
"""
if st.session_state.tasks.empty:
return None
tasks = st.session_state.tasks
return {
'Total Tasks': len(tasks),
'Total Duration': tasks['Duration'].sum(),
'Total Cost': tasks['Cost'].sum(),
'Avg Complexity': tasks['Complexity'].map({'Low': 1, 'Medium': 2, 'High': 3}).mean(),
'Avg Progress': tasks['Progress'].mean()
}
def _render_dependency_visualization(self):
st.subheader("Visualisasi Graph Dependency")
try:
dependency_graph_fig = self.dependency_manager.create_dependency_visualization()
if dependency_graph_fig:
st.plotly_chart(dependency_graph_fig, use_container_width=True)
else:
st.info("Belum ada dependency yang dibuat")
except Exception as e:
st.error(f"Gagal membuat visualisasi: {e}")
def main():
app = StreamlitProjectApp()
app.run()
if __name__ == "__main__":
main() |