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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="๐Ÿš€", layout="wide")
        st.title("๐Ÿš€ 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()