86 lines
3.1 KiB
Python
86 lines
3.1 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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# Page Configuration
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st.set_page_config(layout="wide", page_title="Advanced Sorter v8.0")
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# --- Session State Initialization ---
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if 'history' not in st.session_state:
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st.session_state.history = []
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if 'idx_time' not in st.session_state:
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st.session_state.idx_time = 0
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if 'idx_id' not in st.session_state:
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st.session_state.idx_id = 0
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# --- Status Bar ---
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# Calculates stats based on the history stack
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matches_created = len([h for h in st.session_state.history if 'link' in h['type']])
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unused_count = len([h for h in st.session_state.history if h['type'] == 'unused'])
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st.info(f"📊 **Session Stats:** {matches_created} Matches Linked | {unused_count} Moved to Unused")
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# --- Sidebar: Configuration & Profiles ---
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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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# Delete Profile Logic
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if selected_fav != "None":
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if st.button("🗑️ Delete Selected Profile", type="secondary"):
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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("📁 Paths")
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# Sets default path from favorites or base storage
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def_t = favs[selected_fav]['target'] if selected_fav != "None" else BASE_PATH
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# User inputs for target folder
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path_t = st.text_input("Target Folder Path (Folder 1)", value=def_t)
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# Automatic Sibling Detection for UI feedback
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siblings = SorterEngine.get_sibling_controls(path_t)
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st.caption(f"Found {len(siblings)} sibling control folders at this level.")
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# Create New Profile
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with st.expander("💾 Create New Profile"):
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new_fav_name = st.text_input("Profile Name")
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if st.button("Save Profile"):
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if new_fav_name:
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SorterEngine.save_favorite(new_fav_name, path_t, path_t) # Control follows target sibling logic
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st.success(f"Saved {new_fav_name}")
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st.rerun()
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st.divider()
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# Global Settings matched to original script logic
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quality = st.slider("Bandwidth Quality", 5, 100, 40)
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threshold = st.number_input("Time Threshold (s)", value=50)
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# ID Logic: Finds next ID based on existing files
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id_val = st.number_input("Next ID Number", value=SorterEngine.get_max_id_number(path_t) + 1)
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prefix = f"id{int(id_val):03d}_"
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# Undo Action (Z shortcut logic)
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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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# Revert indices based on the type of action undone
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if st.session_state.idx_id > 0: st.session_state.idx_id -= 1
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st.rerun()
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# --- Main Tab Navigation ---
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# Reordered: Discovery first, then Review
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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 1: Discovery uses sibling-scan logic
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tab_time_discovery.render(path_t, quality, threshold, prefix)
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with t2:
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# Tab 2: Review matches across all siblings
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tab_id_review.render(path_t, quality) |