68 lines
2.9 KiB
Python
68 lines
2.9 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
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# Start Database
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SorterEngine.init_db()
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st.set_page_config(layout="wide", page_title="Turbo Sorter Pro v11.1")
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# --- INITIALIZATION ---
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for key in ['history', 'idx_time', 'idx_id', 'idx_unused', 'idx_cat']:
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if key not in st.session_state:
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st.session_state[key] = [] if key == 'history' else 0
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# --- SIDEBAR ---
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profiles = SorterEngine.load_profiles()
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selected_profile = st.sidebar.selectbox("Workspace Profile", ["Default"] + list(profiles.keys()))
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p_data = profiles.get(selected_profile, {})
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with st.sidebar:
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st.title("⚙️ Global Settings")
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quality = st.slider("Bandwidth 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", "/storage")
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id_val = st.number_input("Global Next ID", 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", 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", "Review", "Unused", "Categorizer", "🖼️ Gallery Sorter"])
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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_input")
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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_input")
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path_t2_c = c2.text_input("Review Control", value=p_data.get("tab2_control", "/storage"), key="t2_c_input")
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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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path_t4_s = c1.text_input("Source Images", value=p_data.get("tab4_source", "/storage"), key="t4_s_input")
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path_t4_o = c2.text_input("Category Output", value=p_data.get("tab4_out", "/storage"), key="t4_o_input")
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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 path_t4_s != p_data.get("tab4_source") or path_t4_o != p_data.get("tab4_out") or mode != p_data.get("mode"):
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# This now correctly accepts the 'mode' argument
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SorterEngine.save_tab_paths(selected_profile, t4_s=path_t4_s, t4_o=path_t4_o, mode=mode)
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tab_category_sorter.render(path_t4_s, path_t4_o, quality, mode)
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with t5:
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import tab_gallery_sorter
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tab_gallery_sorter.render(quality) |