45 lines
2.2 KiB
Python
45 lines
2.2 KiB
Python
import streamlit as st
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import os, shutil
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from engine import SorterEngine
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def render(path_t, path_c, quality, threshold, id_prefix):
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target_imgs = SorterEngine.get_images(path_t)
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unmatched_t = [f for f in target_imgs if not f.startswith("id")]
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if st.session_state.idx_time < len(unmatched_t):
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t_file = unmatched_t[st.session_state.idx_time]
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t_path = os.path.join(path_t, t_file)
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t_time = os.path.getmtime(t_path)
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best_c_path, min_delta = None, threshold
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for c_file in SorterEngine.get_images(path_c):
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c_p = os.path.join(path_c, c_file)
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delta = abs(t_time - os.path.getmtime(c_p))
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if delta < min_delta:
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min_delta, best_c_path = delta, c_p
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if best_c_path:
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st.subheader(f"Time Match Found (Δ {min_delta:.1f}s)")
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col1, col2 = st.columns(2)
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col1.image(SorterEngine.compress_for_web(t_path, quality), caption=t_file)
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col2.image(SorterEngine.compress_for_web(best_c_path, quality), caption=os.path.basename(best_c_path))
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b1, b2, b3 = st.columns(3)
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if b1.button("MATCH", type="primary", use_container_width=True):
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t_dst, c_dst = SorterEngine.execute_move(t_path, best_c_path, path_t, path_c, id_prefix, "standard")
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st.session_state.history.append({'type': 'link_standard', 't_src': t_path, 't_dst': t_dst, 'c_src': best_c_path, 'c_dst': c_dst})
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st.rerun()
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if b2.button("SOLO", use_container_width=True):
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t_dst, c_dst = SorterEngine.execute_move(t_path, best_c_path, path_t, path_c, id_prefix, "solo")
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st.session_state.history.append({'type': 'link_solo', 't_src': t_path, 't_dst': t_dst, 'c_src': best_c_path, 'c_dst': c_dst})
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st.rerun()
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if b3.button("SKIP", use_container_width=True):
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st.session_state.idx_time += 1
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st.rerun()
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else:
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st.warning("No time matches found within threshold.")
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if st.button("SKIP"):
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st.session_state.idx_time += 1
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st.rerun()
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else:
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st.success("All unmatched images in target folder have been reviewed.") |