82 lines
3.4 KiB
Python
82 lines
3.4 KiB
Python
import streamlit as st
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import os
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from engine import SorterEngine
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import tab_time_discovery, tab_id_review, tab_unused_review, tab_category_sorter, tab_gallery_sorter
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# 1. Initialize DB FIRST
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try:
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SorterEngine.init_db()
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except Exception as e:
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st.error(f"Database Initialization Error: {e}")
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st.set_page_config(layout="wide", page_title="Turbo Sorter Pro v12.1")
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# 2. Session State Defaults
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if 'history' not in st.session_state: st.session_state.history = []
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if 'idx_time' not in st.session_state: st.session_state.idx_time = 0
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if 'idx_id' not in st.session_state: st.session_state.idx_id = 0
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if 'idx_unused' not in st.session_state: st.session_state.idx_unused = 0
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if 'idx_cat' not in st.session_state: st.session_state.idx_cat = 0
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# 3. Load Profiles with Safety Fallback
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try:
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profiles = SorterEngine.load_profiles()
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except Exception as e:
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st.warning("Database schema mismatch detected. Please delete /app/sorter_database.db and refresh.")
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st.stop()
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# Ensure at least one profile exists
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if not profiles:
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SorterEngine.save_tab_paths("Default")
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profiles = SorterEngine.load_profiles()
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# --- SIDEBAR ---
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with st.sidebar:
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st.title("⭐ Workspaces")
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selected_profile = st.selectbox("Active Workspace", list(profiles.keys()), key="active_profile")
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p_data = profiles.get(selected_profile, {})
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st.divider()
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quality = st.slider("Display Quality", 5, 100, 40)
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# Prefix Logic
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disc_target = p_data.get("tab1_target", "/storage")
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next_id_num = SorterEngine.get_max_id_number(disc_target) + 1
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id_val = st.number_input("Next ID Number", value=next_id_num)
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prefix = f"id{int(id_val):03d}_"
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if st.button("↶ UNDO", use_container_width=True, disabled=not st.session_state.history):
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SorterEngine.revert_action(st.session_state.history.pop())
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st.rerun()
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# --- TABS ---
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t1, t2, t3, t4, t5 = st.tabs(["🕒 Discovery", "🆔 ID Review", "♻️ Unused", "📂 Categorizer", "🖼️ Gallery Staging"])
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with t1:
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path_t1 = st.text_input("Discovery Target", value=p_data.get("tab1_target", "/storage"), key="t1_in")
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if path_t1 != p_data.get("tab1_target"):
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SorterEngine.save_tab_paths(selected_profile, t1_t=path_t1)
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tab_time_discovery.render(path_t1, quality, 50, prefix)
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with t2:
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c1, c2 = st.columns(2)
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path_t2_t = c1.text_input("Review Target", value=p_data.get("tab2_target", "/storage"), key="t2_t_in")
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path_t2_c = c2.text_input("Review Control", value=p_data.get("tab2_control", "/storage"), key="t2_c_in")
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if path_t2_t != p_data.get("tab2_target") or path_t2_c != p_data.get("tab2_control"):
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SorterEngine.save_tab_paths(selected_profile, t2_t=path_t2_t, t2_c=path_t2_c)
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tab_id_review.render(path_t2_t, path_t2_c, quality, prefix)
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with t3:
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tab_unused_review.render(path_t2_t, path_t2_c, quality)
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with t4:
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c1, c2 = st.columns(2)
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p4_s = c1.text_input("Source", value=p_data.get("tab4_source", "/storage"), key="t4_s_in")
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p4_o = c2.text_input("Output", value=p_data.get("tab4_out", "/storage"), key="t4_o_in")
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mode = st.radio("Mode", ["id", "original"], index=0 if p_data.get("mode") == "id" else 1, horizontal=True)
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if p4_s != p_data.get("tab4_source") or p4_o != p_data.get("tab4_out") or mode != p_data.get("mode"):
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SorterEngine.save_tab_paths(selected_profile, t4_s=p4_s, t4_o=p4_o, mode=mode)
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tab_category_sorter.render(p4_s, p4_o, quality, mode)
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with t5:
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tab_gallery_sorter.render(quality) |