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| # app.py | |
| import streamlit as st | |
| import streamlit.components.v1 as components | |
| import os | |
| import json | |
| import pandas as pd | |
| import uuid | |
| import math # For floor function | |
| # from PIL import Image, ImageDraw # No longer needed for minimap | |
| from streamlit_js_eval import streamlit_js_eval # For JS communication | |
| # --- Constants --- | |
| SAVE_DIR = "saved_worlds" | |
| PLOT_WIDTH = 50.0 # Width of each plot in 3D space | |
| PLOT_DEPTH = 50.0 # Depth of each plot (can be same as width) | |
| CSV_COLUMNS = ['obj_id', 'type', 'pos_x', 'pos_y', 'pos_z', 'rot_x', 'rot_y', 'rot_z', 'rot_order'] | |
| # --- Ensure Save Directory Exists --- | |
| os.makedirs(SAVE_DIR, exist_ok=True) | |
| # --- Helper Functions --- | |
| # Cache plot list | |
| def load_plot_metadata(): | |
| """Scans save dir for plot_X*_Z*.csv, sorts, calculates metadata.""" | |
| plots = [] | |
| plot_files = [] | |
| try: | |
| plot_files = [f for f in os.listdir(SAVE_DIR) if f.endswith(".csv") and f.startswith("plot_X")] | |
| except FileNotFoundError: | |
| st.error(f"Save directory '{SAVE_DIR}' not found.") | |
| return [] | |
| except Exception as e: | |
| st.error(f"Error listing save directory '{SAVE_DIR}': {e}") | |
| return [] | |
| # Parse filenames to get grid coordinates | |
| parsed_plots = [] | |
| for filename in plot_files: | |
| try: | |
| parts = filename[:-4].split('_') # Remove .csv | |
| grid_x = int(parts[1][1:]) # Extract number after X | |
| grid_z = int(parts[2][1:]) # Extract number after Z | |
| # Extract name if present (parts after Z coordinate) | |
| plot_name = " ".join(parts[3:]) if len(parts) > 3 else f"Plot ({grid_x},{grid_z})" | |
| parsed_plots.append({ | |
| 'id': filename[:-4], # Use filename base as unique ID | |
| 'filename': filename, | |
| 'grid_x': grid_x, | |
| 'grid_z': grid_z, | |
| 'name': plot_name, | |
| 'x_offset': grid_x * PLOT_WIDTH, | |
| 'z_offset': grid_z * PLOT_DEPTH # Use PLOT_DEPTH for Z offset | |
| }) | |
| except (IndexError, ValueError): | |
| st.warning(f"Could not parse grid coordinates from filename: {filename}. Skipping.") | |
| continue | |
| # Sort primarily by X, then by Z | |
| parsed_plots.sort(key=lambda p: (p['grid_x'], p['grid_z'])) | |
| return parsed_plots | |
| def load_plot_objects(filename, x_offset, z_offset): | |
| """Loads objects from a CSV, applying the plot's world offsets.""" | |
| file_path = os.path.join(SAVE_DIR, filename) | |
| objects = [] | |
| try: | |
| df = pd.read_csv(file_path) | |
| # Check required columns | |
| if not all(col in df.columns for col in ['type', 'pos_x', 'pos_y', 'pos_z']): | |
| st.warning(f"CSV '{filename}' missing essential columns. Skipping.") | |
| return [] | |
| # Add defaults for optional columns | |
| df['obj_id'] = df.get('obj_id', pd.Series([str(uuid.uuid4()) for _ in range(len(df))])) | |
| for col, default in [('rot_x', 0.0), ('rot_y', 0.0), ('rot_z', 0.0), ('rot_order', 'XYZ')]: | |
| if col not in df.columns: df[col] = default | |
| for _, row in df.iterrows(): | |
| obj_data = row.to_dict() | |
| # Apply world offset | |
| obj_data['pos_x'] += x_offset | |
| obj_data['pos_z'] += z_offset # Apply Z offset too | |
| objects.append(obj_data) | |
| return objects | |
| except FileNotFoundError: | |
| st.error(f"File not found during object load: {filename}") | |
| return [] | |
| except pd.errors.EmptyDataError: | |
| return [] # Empty file is valid | |
| except Exception as e: | |
| st.error(f"Error loading objects from {filename}: {e}") | |
| return [] | |
| def save_plot_data(filename, objects_data_list, plot_x_offset, plot_z_offset): | |
| """Saves object data list to a CSV, making positions relative to plot origin.""" | |
| file_path = os.path.join(SAVE_DIR, filename) | |
| relative_objects = [] | |
| if not isinstance(objects_data_list, list): | |
| st.error("Invalid data format received for saving (expected a list).") | |
| return False | |
| for obj in objects_data_list: | |
| pos = obj.get('position', {}) | |
| rot = obj.get('rotation', {}) | |
| obj_type = obj.get('type', 'Unknown') | |
| obj_id = obj.get('obj_id', str(uuid.uuid4())) | |
| if not all(k in pos for k in ['x', 'y', 'z']) or obj_type == 'Unknown': | |
| print(f"Skipping malformed object during save prep: {obj}") | |
| continue | |
| relative_obj = { | |
| 'obj_id': obj_id, 'type': obj_type, | |
| 'pos_x': pos.get('x', 0.0) - plot_x_offset, # Make relative X | |
| 'pos_y': pos.get('y', 0.0), | |
| 'pos_z': pos.get('z', 0.0) - plot_z_offset, # Make relative Z | |
| 'rot_x': rot.get('_x', 0.0), 'rot_y': rot.get('_y', 0.0), 'rot_z': rot.get('_z', 0.0), | |
| 'rot_order': rot.get('_order', 'XYZ') | |
| } | |
| relative_objects.append(relative_obj) | |
| try: | |
| df = pd.DataFrame(relative_objects, columns=CSV_COLUMNS) | |
| df.to_csv(file_path, index=False) | |
| st.success(f"Saved {len(relative_objects)} objects to {filename}") | |
| return True | |
| except Exception as e: | |
| st.error(f"Failed to save plot data to {filename}: {e}") | |
| return False | |
| # --- Page Config --- | |
| st.set_page_config( page_title="Infinite World Builder", layout="wide") | |
| # --- Initialize Session State --- | |
| if 'selected_object' not in st.session_state: st.session_state.selected_object = 'None' | |
| if 'new_plot_name' not in st.session_state: st.session_state.new_plot_name = "" # No longer used for filename | |
| if 'js_save_data_result' not in st.session_state: st.session_state.js_save_data_result = None | |
| # --- Load Plot Metadata --- | |
| # This is now the source of truth for saved plots | |
| plots_metadata = load_plot_metadata() | |
| # --- Load ALL Objects for Rendering --- | |
| all_initial_objects = [] | |
| for plot in plots_metadata: | |
| all_initial_objects.extend(load_plot_objects(plot['filename'], plot['x_offset'], plot['z_offset'])) | |
| # --- Sidebar --- | |
| with st.sidebar: | |
| st.title("🏗️ World Controls") | |
| st.header("Navigation (Plots)") | |
| st.caption("Click to teleport player to a plot.") | |
| max_cols = 2 # Adjust columns for potentially more buttons | |
| cols = st.columns(max_cols) | |
| col_idx = 0 | |
| # Sort buttons by grid coords for logical layout | |
| sorted_plots_for_nav = sorted(plots_metadata, key=lambda p: (p['grid_x'], p['grid_z'])) | |
| for plot in sorted_plots_for_nav: | |
| button_label = f"➡️ {plot.get('name', plot['id'])} ({plot['grid_x']},{plot['grid_z']})" | |
| if cols[col_idx].button(button_label, key=f"nav_{plot['id']}"): | |
| target_x = plot['x_offset'] | |
| target_z = plot['z_offset'] # Use Z offset too | |
| try: | |
| # Tell JS where to teleport (center of plot approx) | |
| js_code = f"teleportPlayer({target_x + PLOT_WIDTH/2}, {target_z + PLOT_DEPTH/2});" | |
| streamlit_js_eval(js_code=js_code, key=f"teleport_{plot['id']}") | |
| except Exception as e: | |
| st.error(f"Failed to send teleport command: {e}") | |
| col_idx = (col_idx + 1) % max_cols | |
| st.markdown("---") | |
| # --- Object Placement --- | |
| st.header("Place Objects") | |
| object_types = ["None", "Simple House", "Tree", "Rock", "Fence Post"] | |
| current_object_index = object_types.index(st.session_state.selected_object) if st.session_state.selected_object in object_types else 0 | |
| selected_object_type_widget = st.selectbox( | |
| "Select Object:", options=object_types, index=current_object_index, key="selected_object_widget" | |
| ) | |
| if selected_object_type_widget != st.session_state.selected_object: | |
| st.session_state.selected_object = selected_object_type_widget | |
| # Rerun will happen, JS reloads state via sessionStorage, Python injects new selection | |
| st.markdown("---") | |
| # --- Saving --- | |
| st.header("Save Work") | |
| st.caption("Saves newly placed objects to the plot the player is currently in. If it's a new area, a new plot file is created.") | |
| if st.button("💾 Save Current Work", key="save_button"): | |
| # Trigger JS to get data AND player position | |
| js_get_data_code = "getSaveDataAndPosition();" # JS function needs update | |
| streamlit_js_eval(js_code=js_get_data_code, key="js_save_processor") | |
| st.rerun() # Rerun to process result | |
| # --- Process Save Data --- | |
| save_data_from_js = st.session_state.get("js_save_processor", None) | |
| if save_data_from_js is not None: | |
| st.info("Received save data from client...") | |
| save_processed_successfully = False | |
| try: | |
| # Expecting { playerPosition: {x,y,z}, objectsToSave: [...] } | |
| payload = json.loads(save_data_from_js) if isinstance(save_data_from_js, str) else save_data_from_js | |
| if isinstance(payload, dict) and 'playerPosition' in payload and 'objectsToSave' in payload: | |
| player_pos = payload['playerPosition'] | |
| objects_to_save = payload['objectsToSave'] | |
| if isinstance(objects_to_save, list): # Allow saving empty list (clears new objects) | |
| # Determine target plot based on player position | |
| target_grid_x = math.floor(player_pos.get('x', 0.0) / PLOT_WIDTH) | |
| target_grid_z = math.floor(player_pos.get('z', 0.0) / PLOT_DEPTH) # Use Z pos too | |
| target_filename = f"plot_X{target_grid_x}_Z{target_grid_z}.csv" | |
| target_plot_x_offset = target_grid_x * PLOT_WIDTH | |
| target_plot_z_offset = target_grid_z * PLOT_DEPTH | |
| st.write(f"Attempting to save plot: {target_filename} (Player at: x={player_pos.get('x', 0):.1f}, z={player_pos.get('z', 0):.1f})") | |
| # Check if this plot already exists in metadata (for logging/future logic) | |
| is_new_plot_file = not os.path.exists(os.path.join(SAVE_DIR, target_filename)) | |
| save_ok = save_plot_data(target_filename, objects_to_save, target_plot_x_offset, target_plot_z_offset) | |
| if save_ok: | |
| load_plot_metadata.clear() # Clear cache to force reload metadata | |
| try: # Tell JS to clear its unsaved state | |
| streamlit_js_eval(js_code="resetNewlyPlacedObjects();", key="reset_js_state") | |
| except Exception as js_e: | |
| st.warning(f"Could not reset JS state after save: {js_e}") | |
| if is_new_plot_file: | |
| st.success(f"New plot created and saved: {target_filename}") | |
| else: | |
| st.success(f"Updated existing plot: {target_filename}") | |
| save_processed_successfully = True | |
| else: | |
| st.error(f"Failed to save plot data to file: {target_filename}") | |
| else: | |
| st.error("Invalid 'objectsToSave' format received (expected list).") | |
| else: | |
| st.error("Invalid save payload structure received from client.") | |
| print("Received payload:", payload) # Log for debugging | |
| except json.JSONDecodeError: | |
| st.error("Failed to decode save data from client.") | |
| print("Received raw data:", save_data_from_js) | |
| except Exception as e: | |
| st.error(f"Error processing save: {e}") | |
| st.exception(e) | |
| # Clear the trigger data from session state | |
| st.session_state.js_save_processor = None | |
| # Rerun after processing to reflect changes | |
| if save_processed_successfully: | |
| st.rerun() | |
| # --- Main Area --- | |
| st.header("Infinite Shared 3D World") | |
| st.caption("Move to empty areas to expand the world. Use sidebar 'Save' to save work to current plot.") | |
| # --- Load and Prepare HTML --- | |
| html_file_path = 'index.html' | |
| html_content_with_state = None | |
| try: | |
| with open(html_file_path, 'r', encoding='utf-8') as f: | |
| html_template = f.read() | |
| # --- Inject Python state into JavaScript --- | |
| js_injection_script = f""" | |
| <script> | |
| window.ALL_INITIAL_OBJECTS = {json.dumps(all_initial_objects)}; | |
| window.PLOTS_METADATA = {json.dumps(plots_metadata)}; // Send plot info to JS | |
| window.SELECTED_OBJECT_TYPE = {json.dumps(st.session_state.selected_object)}; | |
| window.PLOT_WIDTH = {json.dumps(PLOT_WIDTH)}; | |
| window.PLOT_DEPTH = {json.dumps(PLOT_DEPTH)}; | |
| console.log("Streamlit State Injected:", {{ | |
| selectedObject: window.SELECTED_OBJECT_TYPE, | |
| initialObjectsCount: window.ALL_INITIAL_OBJECTS ? window.ALL_INITIAL_OBJECTS.length : 0, | |
| plotCount: window.PLOTS_METADATA ? window.PLOTS_METADATA.length : 0, | |
| plotWidth: window.PLOT_WIDTH, | |
| plotDepth: window.PLOT_DEPTH | |
| }}); | |
| </script> | |
| """ | |
| html_content_with_state = html_template.replace('</head>', js_injection_script + '\n</head>', 1) | |
| # --- Embed HTML Component --- | |
| components.html( | |
| html_content_with_state, | |
| height=750, | |
| scrolling=False | |
| ) | |
| except FileNotFoundError: | |
| st.error(f"CRITICAL ERROR: Could not find the file '{html_file_path}'.") | |
| st.warning(f"Make sure `{html_file_path}` is in the same directory as `app.py` and `{SAVE_DIR}` exists.") | |
| except Exception as e: | |
| st.error(f"An critical error occurred during HTML preparation or component rendering: {e}") | |
| st.exception(e) |