Upload revision-app-streamlit3.py

revision-app-streamlit3.py

@@ -0,0 +1,226 @@
+import streamlit as st
+import json
+import os
+import networkx as nx
+import matplotlib.pyplot as plt
+import textwrap
+from io import BytesIO
+
+FILENAME = "nested_dictionary.json"
+
+class RevisionApp:
+    def __init__(self):
+        self.load_data()
+        self.create_ui()
+
+    def load_data(self):
+        if 'data' not in st.session_state:
+            if os.path.exists(FILENAME):
+                with open(FILENAME, 'r') as file:
+                    st.session_state.data = json.load(file)
+            else:
+                st.session_state.data = {}
+
+    def save_data(self):
+        with open(FILENAME, 'w') as file:
+            json.dump(st.session_state.data, file, indent=2)
+
+    def create_ui(self):
+        st.title("Concept Revision App")
+        st.write('''Demo app don't have functionality like unlimited tree view expand, touch,expand,export map.
+                No session history - after session your input information will be lost
+                .For full functionality see - 
+                  https://github.com/shikharyashmaurya/Revision-App''')
+
+        # Sidebar for navigation
+        page = st.sidebar.selectbox("Choose a page", ["Tree View", "Mind Map", "Search"])
+
+        if page == "Tree View":
+            self.show_tree_view()
+        elif page == "Mind Map":
+            self.show_mind_map()
+        elif page == "Search":
+            self.show_search()
+
+    def show_tree_view(self):
+        st.header("Tree View")
+
+        # Input for new concept
+        new_key = st.text_input("Enter a new concept:")
+        if st.button("Add Concept"):
+            if new_key and new_key not in st.session_state.data:
+                st.session_state.data[new_key] = {'next': [], 'text': []}
+                self.save_data()
+                st.success(f"Added new concept: {new_key}")
+                st.experimental_rerun()
+
+        # Display concepts
+        selected_concept = st.selectbox("Select a concept to view details:", 
+                                        options=[""] + list(st.session_state.data.keys()))
+        
+        if selected_concept:
+            self.show_concept_details(selected_concept)
+
+    def show_concept_details(self, key):
+        st.subheader(f"Concept: {key}")
+
+        # Display related concepts
+        st.write("Related Concepts:")
+        for next_item in st.session_state.data[key]['next']:
+            if st.button(f"Go to {next_item}", key=f"goto_{next_item}"):
+                self.show_concept_details(next_item)
+                return
+
+        # Add related concept
+        new_related = st.text_input(f"Add related concept to {key}:", key=f"related_{key}")
+        if st.button(f"Add related to {key}", key=f"add_related_{key}"):
+            if new_related and new_related not in st.session_state.data[key]['next']:
+                if new_related not in st.session_state.data:
+                    st.session_state.data[new_related] = {'next': [], 'text': []}
+                st.session_state.data[key]['next'].append(new_related)
+                self.save_data()
+                st.success(f"Added {new_related} as related to {key}")
+                st.experimental_rerun()
+
+        # Display information
+        st.write("Information:")
+        for i, text_item in enumerate(st.session_state.data[key]['text']):
+            st.text_area(f"Info {i+1}", value=text_item, key=f"info_{key}_{i}", height=100, disabled=True)
+
+        # Add information
+        new_info = st.text_area(f"Add information to {key}:", key=f"new_info_{key}")
+        if st.button(f"Add info to {key}", key=f"add_info_{key}"):
+            if new_info:
+                st.session_state.data[key]['text'].append(new_info)
+                self.save_data()
+                st.success(f"Added new information to {key}")
+                st.experimental_rerun()
+
+    def show_mind_map(self):
+        st.header("Mind Map")
+
+        G = nx.Graph()
+        for key, value in st.session_state.data.items():
+            G.add_node(key)
+            for next_item in value['next']:
+                if next_item in st.session_state.data:
+                    G.add_edge(key, next_item)
+
+        pos = self.custom_tree_layout(G)
+
+        plt.figure(figsize=(12, 8))
+        nx.draw(G, pos, with_labels=False, node_color='lightblue', node_size=3000, alpha=0.8)
+
+        for node, (x, y) in pos.items():
+            lines = textwrap.wrap(node, width=10)
+            plt.annotate('\n'.join(lines), (x, y), horizontalalignment='center', verticalalignment='center')
+
+        plt.axis('off')
+
+        # Save plot to a buffer
+        buf = BytesIO()
+        plt.savefig(buf, format="png")
+        buf.seek(0)
+        
+        # Display the image
+        st.image(buf, caption='Mind Map', use_column_width=True)
+
+    def show_search(self):
+        st.header("Search")
+
+        query = st.text_input("Enter search term:")
+        if st.button("Search"):
+            results = self.search_data(query)
+            if results:
+                for key in results:
+                    with st.expander(f"Concept: {key}"):
+                        st.write("Related Concepts:")
+                        for related in st.session_state.data[key]['next']:
+                            st.write(f"- {related}")
+                        st.write("Information:")
+                        for info in st.session_state.data[key]['text']:
+                            st.write(f"- {info}")
+            else:
+                st.write("No results found.")
+
+    def search_data(self, query):
+        query = query.lower()
+        results = set()
+        for key, value in st.session_state.data.items():
+            if query in key.lower():
+                results.add(key)
+            for next_item in value['next']:
+                if query in next_item.lower():
+                    results.add(key)
+            for text_item in value['text']:
+                if query in text_item.lower():
+                    results.add(key)
+        return list(results)
+
+    # def custom_tree_layout(self, G):
+    #     # ... (custom_tree_layout method remains unchanged)
+    #     pass
+
+    def custom_tree_layout(self, G):
+        if not G.nodes():
+            return {}
+
+        def bfs_tree(root):
+            tree = nx.bfs_tree(G, root)
+            return tree
+
+        def assign_positions(tree, root):
+            pos = {}
+            level_width = {}
+            max_depth = 0
+
+            def dfs(node, depth, order):
+                nonlocal max_depth
+                max_depth = max(max_depth, depth)
+                if depth not in level_width:
+                    level_width[depth] = 0
+                level_width[depth] += 1
+                children = list(tree.successors(node))
+                if not children:
+                    pos[node] = (order, -depth)
+                    return order + 1
+                
+                start = order
+                for child in children:
+                    order = dfs(child, depth + 1, order)
+                pos[node] = (start + (order - start - 1) / 2, -depth)
+                return order
+
+            dfs(root, 0, 0)
+
+            # Normalize positions
+            max_width = max(level_width.values()) if level_width else 1
+            for node in pos:
+                x, y = pos[node]
+                pos[node] = (x / max_width, y / max_depth if max_depth != 0 else 0)
+
+            return pos
+
+        # Handle disconnected components
+        components = list(nx.connected_components(G))
+        if not components:
+            return {}
+
+        pos = {}
+        y_offset = 0
+        for component in components:
+            subgraph = G.subgraph(component)
+            root = max(subgraph.nodes(), key=lambda n: subgraph.degree(n))
+            tree = bfs_tree(root)
+            component_pos = assign_positions(tree, root)
+            
+            # Adjust y-positions for each component
+            for node, (x, y) in component_pos.items():
+                pos[node] = (x, y + y_offset)
+            
+            y_offset -= 1.5  # Increase vertical separation between components
+
+        return pos
+
+if __name__ == "__main__":
+    app = RevisionApp()