Finally getting Catalog, Mixed Collections, and Patterns to work independently

I found that tree sub-folders makes it difficult to switch between workspaces. It's better to create a new folder in the parent folder. Also, main.py (or whatever handles this) has to create a new .self in order to discern sub-layers as needed in the Patterns section. Two examples of using what works out of the box vs. what is needed to modify. https://github.com/marcususa/Totten text### Page 1 ### self.analysis_workspace = MixedAnalysis(self) self.analysis_workspace.grid(row=0, column=1, sticky="nsew", padx=5, pady=5) self.analysis_workspace.grid_remove() # Hide initially # Register references in state state.workspace = self.catalog_workspace state.catalog_workspace = self.catalog_workspace state.mixed_workspace = self.mixed_workspace state.analysis_workspace = self.analysis_workspace state.app_root = self state.show_workspace = self.show_workspace def show_workspace(self, target): """Persistent switchboard router that toggles pre-built workspace frames cleanly.""" # Hide all workspaces first if hasattr(state, "catalog_workspace") and state.catalog_workspace: state.catalog_workspace.grid_remove() if hasattr(state, "mixed_workspace") and state.mixed_workspace: state.mixed_workspace.grid_remove() if hasattr(state, "analysis_workspace") and state.analysis_workspace: state.analysis_workspace.grid_remove() # Show the target workspace if target == "mixed" or target == "mixed_analysis": state.mixed_workspace.grid(row=0, column=1, sticky="nsew", padx=5, pady=5) state.mixed_workspace.tkraise() state.workspace = state.mixed_workspace # Load any pending game subset data src = getattr(state, "active_category_source", None) if src: if isinstance(src, list) and hasattr(state.mixed_workspace, "load_games_list"): state.mixed_workspace.load_games_list(src) elif isinstance(src, str): if hasattr(state.mixed_workspace, "load_catalog_data"): state.mixed_workspace.filename = src state.mixed_workspace.load_catalog_data() else: if hasattr(state.mixed_workspace, "load_catalog_data"): state.mixed_workspace.load_catalog_data() elif target == "analysis": state.analysis_workspace.grid(row=0, column=1, sticky="nsew", padx=5, pady=5) state.analysis_workspace.tkraise() state.workspace = state.analysis_workspace else: state.catalog_workspace.grid(row=0, column=1, sticky="nsew", padx=5, pady=5) state.catalog_workspace.tkraise() state.workspace = state.catalog_workspace if __name__ == "__main__": ctk.set_appearance_mode("Dark") ctk.set_default_color_theme("blue") app = Totten() app.mainloop() Response: The reason show_workspace() raised an unexpected keyword argument error is that the routing switchboard accepts only a target string argument, while your selection handler was trying to pass initial_games= directly into it. Furthermore, looking at Totten._init_ui(), the application pre-initializes the catalog workspace once on startup and then just toggles visibility with grid_remove() and tkraise(). Because it's a pre-built frame rather than newly instantiated on click, calling show_workspace("catalog") didn't catch the new games stored in catalog_state["active_games"]. To fix this so that clicking Catalog properly loads search_catalog_workspace.py first, and then correctly routes your selected subset into catalog_analysis.py, update show_workspace in your Totten class: ### Page 2 ### def show_workspace(self, target, *args, **kwargs): """Persistent switchboard router that toggles or re-creates workspaces based on navigation flow.""" # Hide all main workspaces first if hasattr(state, "catalog_workspace") and state.catalog_workspace: state.catalog_workspace.grid_remove() if hasattr(state, "mixed_workspace") and state.mixed_workspace: state.mixed_workspace.grid_remove() if hasattr(state, "analysis_workspace") and state.analysis_workspace: state.analysis_workspace.grid_remove() # Also clean up any transient search/selector workspace frame if active if hasattr(state, "transient_workspace") and state.transient_workspace: state.transient_workspace.destroy() state.transient_workspace = None # Route based on target type if target == "search_catalog" or target == "catalog_search": # Stage 1: Load search_catalog_workspace.py selector view from gui.search_catalog_workspace import SearchCatalogWorkspace try: self.transient_workspace = SearchCatalogWorkspace(self) except TypeError: from gui.search_catalog_workspace import create_workspace self.transient_workspace = create_workspace(self) self.transient_workspace.grid(row=0, column=1, sticky="nsew", padx=5, pady=5) self.transient_workspace.tkraise() state.workspace = self.transient_workspace elif target == "catalog" or target == "catalog_analysis": # Stage 2: Load/Refresh catalog analysis with any isolated state games initial_games = kwargs.get("initial_games") or state.catalog_state.get("active_games") # If a filtered subset was chosen, we rebuild or update the catalog workspace view if initial_games: if hasattr(state, "catalog_workspace") and state.catalog_workspace: state.catalog_workspace.destroy() from gui.catalog_analysis import create_workspace state.catalog_workspace = create_workspace(self, initial_games=initial_games) state.catalog_workspace.grid(row=0, column=1, sticky="nsew", padx=5, pady=5) # Clear out bucket after consumption state.catalog_state["active_games"] = None state.catalog_workspace.grid(row=0, column=1, sticky="nsew", padx=5, pady=5) state.catalog_workspace.tkraise() state.workspace = state.catalog_workspace elif target == "mixed" or target == "mixed_analysis": state.mixed_workspace.grid(row=0, column=1, sticky="nsew", padx=5, pady=5) state.mixed_workspace.tkraise() state.workspace = state.mixed_workspace src = kwargs.get("initial_games") or getattr(state, "active_category_source", None) or state.mixed_state.get("active_games") if src: if isinstance(src, list) and hasattr(state.mixed_workspace, "load_games_list"): state.mixed_workspace.load_games_list(src) elif isinstance(src, str): if hasattr(state.mixed_workspace, "load_catalog_data"): state.mixed_workspace.filename = src state.mixed_workspace.load_catalog_data() else: if hasattr(state.mixed_workspace, "load_catalog_data"): state.mixed_workspace.load_catalog_data() ### Page 3 ### elif target == "analysis": state.analysis_workspace.grid(row=0, column=1, sticky="nsew", padx=5, pady=5) state.analysis_workspace.tkraise() state.workspace = state.analysis_workspace else: state.catalog_workspace.grid(row=0, column=1, sticky="nsew", padx=5, pady=5) state.catalog_workspace.tkraise() state.workspace = state.catalog_workspace Wiring Your Sidebar / Buttons 1. When your sidebar button for Catalog is clicked, call: state.show_workspace("search_catalog") 2. When the user finishes picking their game group inside search_catalog_workspace.py, finalize it with: import gui.app_state as state state.catalog_state["active_games"] = chosen_games_list state.show_workspace("catalog") User prompt: I am unsure about 1 and 2 at the end. Like this? self.btn_catalog = ctk.CTkButton(self, text="Catalog", anchor="w", fg_color="transparent", hover_color="#2e4a8c", text_color="white", command=lambda: self.on_navigate("search_catalog")) self.btn_catalog.pack(fill="x", padx=4, pady=(15, 5)) state.show_workspace("search_catalog") Response: Yes, that lambda setup for the sidebar button is precisely correct. When clicked, self.on_navigate("search_catalog") will trigger state.show_workspace("search_catalog"), launching the search selector workspace first. For step 2, when the user finishes picking their game group inside search_catalog_workspace.py, the button or confirmation action inside that selector should look like this: import gui.app_state as state def on_group_selected(self, chosen_games_list): # Store the chosen subset in the isolated catalog bucket state.catalog_state["active_games"] = chosen_games_list ### Page 4 ### # Trigger the switch to the catalog analysis workspace if hasattr(state, "show_workspace"): state.show_workspace("catalog") This completes the two-stage handoff: clicking Catalog opens the search/selector view first, and confirming a group transitions directly into catalog_analysis.py populated exclusively with that filtered subset. User prompt: And that just goes up at the top? Response: Yes, place import gui.app_state as state at the very top of search_catalog_workspace.py alongside your other imports (like customtkinter). The on_group_selected function (or whatever method handles the event when the user confirms their choice) goes inside the search workspace class itself, placed right where the user clicks the final "Load" or "Analyze" button for that group. User prompt: OMG!!! Response: It looks like that two-stage handoff finally clicked into place! With the search selection now routing cleanly into catalog_analysis.py using the isolated state bucket, you've got a solid pattern established. Whenever you're ready to tackle the exact same two-stage flow for Mixed Collections (edit_workspace.py transitioning to mixed_analysis.py), just let me know.