import streamlit as st import os from engine import SorterEngine import tab_time_discovery import tab_id_review st.set_page_config(layout="wide", page_title="Turbo Sorter Pro v8.5") if 'history' not in st.session_state: st.session_state.history = [] if 'idx_time' not in st.session_state: st.session_state.idx_time = 0 if 'idx_id' not in st.session_state: st.session_state.idx_id = 0 # --- Sidebar --- BASE_PATH = "/storage" favs = SorterEngine.load_favorites() with st.sidebar: st.title("⭐ Profiles") selected_fav = st.selectbox("Load Profile", ["None"] + list(favs.keys())) if selected_fav != "None" and st.button("🗑️ Delete Profile"): SorterEngine.delete_favorite(selected_fav) st.rerun() st.divider() st.title("📁 Paths") f_data = favs.get(selected_fav, {}) path_t = st.text_input("Discovery Target", value=f_data.get("disc_t", BASE_PATH)) path_rv_t = st.text_input("Review Target Folder", value=f_data.get("rev_t", os.path.join(path_t, "selected_target"))) path_rv_c = st.text_input("Review Control Folder", value=f_data.get("rev_c", os.path.join(path_t, "selected_control"))) with st.expander("💾 Save Current Paths"): name = st.text_input("Profile Name") if st.button("Confirm Save"): if name: SorterEngine.save_favorite(name, path_t, path_rv_t, path_rv_c) st.rerun() st.divider() quality = st.slider("Quality", 5, 100, 40) threshold = st.number_input("Threshold (s)", value=50) id_val = st.number_input("Next ID", value=SorterEngine.get_max_id_number(path_t) + 1) prefix = f"id{int(id_val):03d}_" if st.button("↶ UNDO", use_container_width=True, disabled=not st.session_state.history): SorterEngine.revert_action(st.session_state.history.pop()) st.rerun() # --- Tabs --- t1, t2 = st.tabs(["🕒 1. Time Discovery", "🆔 2. ID Match Review"]) with t1: tab_time_discovery.render(path_t, quality, threshold, prefix) with t2: tab_id_review.render(path_rv_t, path_rv_c, quality)