59 lines
2.2 KiB
Python
59 lines
2.2 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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st.set_page_config(layout="wide", page_title="Turbo Sorter Pro")
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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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# --- Status Bar ---
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matches = len([h for h in st.session_state.history if 'link' in h['type']])
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st.info(f"📊 **Session Stats:** {matches} Matches Created")
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# --- Sidebar ---
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BASE_PATH = "/storage"
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favs = SorterEngine.load_favorites()
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with st.sidebar:
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st.title("⭐ Profiles")
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selected_fav = st.selectbox("Load Favorite", ["None"] + list(favs.keys()))
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if selected_fav != "None" and st.button("🗑️ Delete Selected Profile"):
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SorterEngine.delete_favorite(selected_fav)
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st.rerun()
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st.divider()
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st.title("🕒 Discovery Path")
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path_t = st.text_input("Target Folder (Folder 1)", value=favs[selected_fav]['target'] if selected_fav != "None" else BASE_PATH)
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st.divider()
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st.title("🆔 Review Paths")
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# Manual path overrides for the Review Tab
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path_rv_t = st.text_input("Review Target Folder", value=os.path.join(path_t, "selected_target"))
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path_rv_c = st.text_input("Review Control Folder", value=os.path.join(path_t, "selected_control"))
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if st.button("💾 Save Profile"):
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name = st.text_input("Profile Name", key="new_fav")
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if name: SorterEngine.save_favorite(name, path_t, path_t)
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st.divider()
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quality = st.slider("Quality", 5, 100, 40)
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threshold = st.number_input("Threshold (s)", value=50)
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id_val = st.number_input("Next ID", value=SorterEngine.get_max_id_number(path_t) + 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 = st.tabs(["🕒 1. Time Discovery", "🆔 2. ID Match Review"])
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with t1:
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tab_time_discovery.render(path_t, quality, threshold, prefix)
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with t2:
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# Pass the manual review paths to Tab 2
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tab_id_review.render(path_rv_t, path_rv_c, quality) |