102 lines
3.8 KiB
Python
102 lines
3.8 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
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import tab_id_review
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import tab_unused_review
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import tab_category_sorter
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import tab_gallery_sorter
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# 1. Initialize Database and Schema
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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 Error: {e}")
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st.set_page_config(layout="wide", page_title="Turbo Sorter Pro v12.5")
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# 2. Global Session State Initialization
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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 Workspace Profiles
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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. Please delete /app/sorter_database.db and refresh.")
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st.stop()
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# Ensure at least one workspace 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: Workspace & Global Tools ---
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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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# Calculate ID based on Tab 1 Target
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t1_target = p_data.get("tab1_target") or "/storage"
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id_val = st.number_input("Next ID Number", value=SorterEngine.get_max_id_number(t1_target) + 1)
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prefix = f"id{int(id_val):03d}_"
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if st.button("↶ UNDO LAST MOVE", 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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with st.expander("🔍 Workspace Path Debugger"):
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st.json(p_data)
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# --- MAIN TAB SYSTEM ---
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t1, t2, t3, t4, t5 = st.tabs([
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"🕒 1. Discovery",
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"🆔 2. ID Review",
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"♻️ 3. Unused",
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"📂 4. Category Sorter",
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"🖼️ 5. Gallery Staged"
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])
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with t1:
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st.header("Time-Sync Matcher")
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t1_p = st.text_input("Discovery Target", value=p_data.get("tab1_target") or "/storage", key="t1_in")
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if t1_p != p_data.get("tab1_target"):
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SorterEngine.save_tab_paths(selected_profile, t1_t=t1_p)
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tab_time_discovery.render(t1_p, quality, 50, prefix)
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with t2:
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st.header("Collision Review")
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c1, c2 = st.columns(2)
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t2_t = c1.text_input("Review Target", value=p_data.get("tab2_target") or "/storage", key="t2_t_in")
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t2_c = c2.text_input("Review Control", value=p_data.get("tab2_control") or "/storage", key="t2_c_in")
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if t2_t != p_data.get("tab2_target") or t2_c != p_data.get("tab2_control"):
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SorterEngine.save_tab_paths(selected_profile, t2_t=t2_t, t2_c=t2_c)
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tab_id_review.render(t2_t, t2_c, quality, prefix)
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with t3:
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st.header("Unused Archive")
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# Uses paths from Tab 2
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tab_unused_review.render(t2_t, t2_c, quality)
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with t4:
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st.header("One-to-Many Categorizer")
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c1, c2 = st.columns(2)
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t4_s = c1.text_input("Source Folder", value=p_data.get("tab4_source") or "/storage", key="t4_s_in")
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t4_o = c2.text_input("Output Folder", value=p_data.get("tab4_out") or "/storage", key="t4_o_in")
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mode = st.radio("Naming Mode", ["id", "original"], index=0 if p_data.get("mode") == "id" else 1, horizontal=True)
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if t4_s != p_data.get("tab4_source") or t4_o != p_data.get("tab4_out") or mode != p_data.get("mode"):
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SorterEngine.save_tab_paths(selected_profile, t4_s=t4_s, t4_o=t4_o, mode=mode)
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tab_category_sorter.render(t4_s, t4_o, quality, mode)
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with t5:
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# Gallery Sorter handles its own path saving internally to prevent refresh loops
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tab_gallery_sorter.render(quality, selected_profile) |