37 lines
1.7 KiB
Python
37 lines
1.7 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 DB")
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if 'history' not in st.session_state: st.session_state.history = []
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if 'idx_cat' not in st.session_state: st.session_state.idx_cat = 0
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# --- Sidebar ---
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profiles = SorterEngine.load_profiles()
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selected = st.sidebar.selectbox("⭐ Profiles", ["None"] + list(profiles.keys()))
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p_data = profiles.get(selected, {})
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path_t = st.sidebar.text_input("Discovery/Category Target", value=p_data.get("disc_t", "/storage"))
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path_out = st.sidebar.text_input("Category Output", value=p_data.get("path_out", "/storage"))
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naming_mode = st.sidebar.radio("Naming Mode", ["id", "original"], index=0 if p_data.get("mode") == "id" else 1)
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# Review Paths
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path_rv_t = st.sidebar.text_input("Review Target", value=p_data.get("rev_t", os.path.join(path_t, "selected_target")))
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path_rv_c = st.sidebar.text_input("Review Control", value=p_data.get("rev_c", os.path.join(path_t, "selected_control")))
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if st.sidebar.button("💾 Save Profile"):
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prof_name = st.sidebar.text_input("New Name")
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if prof_name: SorterEngine.save_profile(prof_name, path_t, path_rv_t, path_rv_c, path_out, naming_mode)
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# --- Tabs ---
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t1, t2, t3, t4 = st.tabs(["🕒 1. Discovery", "🆔 2. ID Review", "♻️ 3. Unused", "📂 4. Category Sorter"])
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with t1: tab_time_discovery.render(path_t, 40, 50, "id001_")
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with t2: tab_id_review.render(path_rv_t, path_rv_c, 40)
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with t3: tab_unused_review.render(path_rv_t, path_rv_c, 40)
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with t4: tab_category_sorter.render(path_t, path_out, 40, naming_mode) |