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app.py 37.8 KB
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  """
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  ShopAgent - Streamlit UI
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  Multi-modal fashion shopping assistant with conversational AI
  """
  
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  import html
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  import logging
  import re
  import uuid
  from pathlib import Path
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  from typing import Any, Optional
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  import streamlit as st
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  import streamlit.components.v1 as st_components
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  from PIL import Image, ImageOps
  
  from app.agents.shopping_agent import ShoppingAgent
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  from app.search_registry import ProductItem, SearchResult, global_registry
  
  # Matches [SEARCH_REF:sr_xxxxxxxx] tokens embedded in AI responses.
  # Case-insensitive, optional spaces around the id.
  SEARCH_REF_PATTERN = re.compile(r"\[SEARCH_REF:\s*([a-zA-Z0-9_]+)\s*\]", re.IGNORECASE)
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  # Configure logging
  logging.basicConfig(
      level=logging.INFO,
      format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
  )
  logger = logging.getLogger(__name__)
  
  # Page config
  st.set_page_config(
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      page_title="ShopAgent",
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      page_icon="👗",
      layout="centered",
      initial_sidebar_state="collapsed",
  )
  
  # Custom CSS - ChatGPT-like style
  st.markdown(
      """
      <style>
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      /* Show default Streamlit elements (sidebar toggle, etc.) */
      /* #MainMenu, footer, header no longer hidden */
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      /* Body and root container */
      .main .block-container {
          padding-bottom: 180px !important;
          padding-top: 2rem;
          max-width: 900px;
          margin: 0 auto;
      }
      
      /* Fixed input container at bottom */
      .fixed-input-container {
          position: fixed;
          bottom: 0;
          left: 0;
          right: 0;
          background: white;
          border-top: 1px solid #e5e5e5;
          padding: 1rem 0;
          z-index: 1000;
          box-shadow: 0 -2px 10px rgba(0,0,0,0.05);
      }
      
      .fixed-input-container .block-container {
          max-width: 900px;
          margin: 0 auto;
          padding: 0 1rem !important;
      }
      
      /* Message bubbles */
      .message {
          margin: 1rem 0;
          padding: 1rem 1.5rem;
          border-radius: 1rem;
          animation: fadeIn 0.3s ease-in;
      }
      
      @keyframes fadeIn {
          from { opacity: 0; transform: translateY(10px); }
          to { opacity: 1; transform: translateY(0); }
      }
      
      .user-message {
          background: transparent;
          margin: 0 0 1rem 0;
          padding: 0;
          border-radius: 0;
      }
      
      .assistant-message {
          background: white;
          border: 1px solid #e5e5e5;
          margin-right: 3rem;
      }
      
      /* Product cards - simplified */
      .stImage {
          border-radius: 0px;
          overflow: hidden;
      }
      
      .stImage img {
          transition: transform 0.2s;
      }
      
      .stImage:hover img {
          transform: scale(1.05);
      }
      
      /* Scroll to bottom behavior */
      html {
          scroll-behavior: smooth;
      }
      
      /* Header */
      .app-header {
          text-align: center;
          padding: 2rem 1rem;
          background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
          color: white;
          border-radius: 1rem;
          margin-bottom: 2rem;
      }
      
      .app-title {
          font-size: 2rem;
          font-weight: 700;
          margin: 0;
      }
      
      .app-subtitle {
          font-size: 1rem;
          opacity: 0.9;
          margin-top: 0.5rem;
      }
      
      /* Welcome screen */
      .welcome-container {
          text-align: center;
          padding: 4rem 2rem;
          color: #666;
      }
      
      .welcome-title {
          font-size: 2rem;
          font-weight: 600;
          color: #1a1a1a;
          margin-bottom: 1rem;
      }
      
      .welcome-features {
          display: grid;
          grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
          gap: 1.5rem;
          margin: 2rem 0;
      }
      
      .feature-card {
          background: #f7f7f8;
          padding: 1.5rem;
          border-radius: 12px;
          transition: all 0.2s;
      }
      
      .feature-card:hover {
          background: #efefef;
          transform: translateY(-2px);
      }
      
      .feature-icon {
          font-size: 2rem;
          margin-bottom: 0.5rem;
      }
      
      .feature-title {
          font-weight: 600;
          margin-bottom: 0.25rem;
      }
      
      /* Image preview */
      .image-preview {
          position: relative;
          display: inline-block;
          margin: 0.5rem 0;
      }
      
      .image-preview img {
          max-width: 200px;
          border-radius: 8px;
          border: 2px solid #e5e5e5;
      }
      
      .remove-image-btn {
          position: absolute;
          top: 5px;
          right: 5px;
          background: rgba(0,0,0,0.6);
          color: white;
          border: none;
          border-radius: 50%;
          width: 24px;
          height: 24px;
          cursor: pointer;
          font-size: 14px;
      }
      
      /* Buttons */
      .stButton>button {
          border-radius: 8px;
          border: 1px solid #e5e5e5;
          padding: 0.5rem 1rem;
          transition: all 0.2s;
      }
      
      .stButton>button:hover {
          background: #f0f0f0;
          border-color: #d0d0d0;
      }
      
      /* Hide upload button label */
      .uploadedFile {
          display: none;
      }
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      /* Product card wrapper: hover reveals action bar */
      .product-card-wrapper {
          position: relative;
          border-radius: 8px;
          overflow: hidden;
          border: 1px solid #e5e5e5;
          background: #fff;
      }
      .product-card-actions {
          display: flex;
          align-items: center;
          justify-content: space-between;
          gap: 8px;
          padding: 6px 8px;
          background: rgba(0,0,0,0.04);
          border-top: 1px solid #eee;
          opacity: 0.85;
          transition: opacity 0.2s;
      }
      .product-card-wrapper:hover .product-card-actions {
          opacity: 1;
          background: rgba(0,0,0,0.06);
      }
  
      /* Right side drawer (off-canvas) */
      .side-drawer-backdrop {
          position: fixed;
          top: 0;
          left: 0;
          right: 0;
          bottom: 0;
          background: rgba(0,0,0,0.35);
          z-index: 999998;
          transition: opacity 0.25s;
      }
      .side-drawer-panel {
          position: fixed;
          top: 56px;
          right: 0;
          width: 85%;
          max-width: 560px;
          height: calc(100vh - 56px);
          background: white;
          box-shadow: -4px 0 20px rgba(0,0,0,0.12);
          z-index: 999999;
          overflow-y: auto;
          transition: transform 0.25s ease-out;
      }
      .side-drawer-panel.open {
          transform: translateX(0);
      }
      .side-drawer-header {
          position: sticky;
          top: 0;
          background: white;
          border-bottom: 1px solid #e5e5e5;
          padding: 12px 16px;
          display: flex;
          align-items: center;
          justify-content: space-between;
          z-index: 1;
      }
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      .side-drawer-content {
          padding: 14px 16px 20px 16px;
      }
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      .side-drawer-backdrop,
      .side-drawer-panel {
          position: fixed !important;
      }
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      #side-drawer-close-btn {
          display: inline-flex;
          align-items: center;
          gap: 4px;
          border: 1px solid #ccc;
          background: #f5f5f5;
          color: #333;
          font-size: 14px;
          font-weight: 500;
          padding: 6px 14px;
          border-radius: 8px;
          cursor: pointer;
      }
      #side-drawer-close-btn:hover {
          background: #e8e8e8;
          color: #111;
      }
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      /* Bottom floating ask/compare bar */
      .bottom-actions-bar {
          position: fixed;
          bottom: 70px;
          left: 50%;
          transform: translateX(-50%);
          display: flex;
          align-items: center;
          gap: 12px;
          padding: 8px 16px;
          background: white;
          border: 1px solid #e5e5e5;
          border-radius: 24px;
          box-shadow: 0 2px 12px rgba(0,0,0,0.08);
          z-index: 1005;
          max-width: 90%;
      }
      .bottom-actions-bar .selected-count {
          font-size: 0.85rem;
          color: #666;
          margin-right: 4px;
      }
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      </style>
      """,
      unsafe_allow_html=True,
  )
  
  
  # Initialize session state
  def initialize_session():
      """Initialize session state variables"""
      if "session_id" not in st.session_state:
          st.session_state.session_id = str(uuid.uuid4())
  
      if "shopping_agent" not in st.session_state:
          st.session_state.shopping_agent = ShoppingAgent(
              session_id=st.session_state.session_id
          )
  
      if "messages" not in st.session_state:
          st.session_state.messages = []
  
      if "uploaded_image" not in st.session_state:
          st.session_state.uploaded_image = None
  
      if "show_image_upload" not in st.session_state:
          st.session_state.show_image_upload = False
  
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      # Debug panel toggle (default True so 显示调试过程 is checked by default)
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      if "show_debug" not in st.session_state:
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          st.session_state.show_debug = True
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      # Selected products for ask/compare (key -> product info dict)
      if "selected_products" not in st.session_state:
          st.session_state.selected_products = {}
  
      # Right side panel: visible, mode in ("similar", "compare"), payload (e.g. ref_id, query, or list of selected items)
      if "side_panel" not in st.session_state:
          st.session_state.side_panel = {
              "visible": False,
              "mode": None,
              "payload": None,
          }
  
      # Products currently referenced in chat input (list of product summary dicts)
      if "referenced_products" not in st.session_state:
          st.session_state.referenced_products = []
  
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  def save_uploaded_image(uploaded_file) -> Optional[str]:
      """Save uploaded image to temp directory"""
      if uploaded_file is None:
          return None
  
      try:
          temp_dir = Path("temp_uploads")
          temp_dir.mkdir(exist_ok=True)
  
          image_path = temp_dir / f"{st.session_state.session_id}_{uploaded_file.name}"
          with open(image_path, "wb") as f:
              f.write(uploaded_file.getbuffer())
  
          logger.info(f"Saved uploaded image to {image_path}")
          return str(image_path)
  
      except Exception as e:
          logger.error(f"Error saving uploaded image: {e}")
          st.error(f"Failed to save image: {str(e)}")
          return None
  
  
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  def _product_key(ref_id: str, index: int, product: ProductItem) -> str:
      """Stable unique key for a product in the session (for selection and side panel)."""
      return f"{ref_id}_{index}_{product.spu_id or index}"
  
  
  def _product_to_info(product: ProductItem, ref_id: str) -> dict:
      """Serialize product to a small dict for selected_products and ask/compare."""
      return {
          "ref_id": ref_id,
          "spu_id": product.spu_id,
          "sku_id": product.spu_id,
          "title": product.title or "未知商品",
          "price": product.price,
          "tags": product.tags or [],
          "specifications": product.specifications or [],
      }
  
  
  def _compact_field(value: Any) -> str:
      """Format a field into one readable line for chat reference payload."""
      if value is None:
          return "-"
      if isinstance(value, list):
          if not value:
              return "-"
          parts = []
          for item in value:
              if isinstance(item, dict):
                  text = ", ".join(f"{k}:{v}" for k, v in item.items())
                  parts.append(text if text else str(item))
              else:
                  parts.append(str(item))
          return " | ".join(p for p in parts if p) or "-"
      return str(value)
  
  
  def _build_reference_prefix(products: list[dict]) -> str:
      """Build backend prompt prefix for 'chat with referenced products'."""
      lines = [f"引用 {len(products)} 款商品:"]
      for i, p in enumerate(products, 1):
          sku_id = _compact_field(p.get("sku_id") or p.get("spu_id"))
          title = _compact_field(p.get("title"))
          price = _compact_field(p.get("price"))
          tags = _compact_field(p.get("tags"))
          specifications = _compact_field(p.get("specifications"))
          lines.append(
              f"{i}. sku_id={sku_id}; title={title}; price={price}; "
              f"tags={tags}; specifications={specifications}"
          )
      return "\n".join(lines)
  
  
  def render_referenced_products_in_input() -> None:
      """Render referenced products above chat input, each with remove button."""
      refs = st.session_state.get("referenced_products", [])
      if not refs:
          return
  
      st.markdown("**已引用商品**")
      remove_idx = None
      for idx, item in enumerate(refs):
          with st.container(border=True):
              c1, c2 = st.columns([12, 1])
              with c1:
                  title = (item.get("title") or "未知商品")[:80]
                  st.markdown(f"**{title}**")
                  st.caption(
                      f"sku_id={item.get('sku_id') or item.get('spu_id') or '-'}; "
                      f"price={_compact_field(item.get('price'))}; "
                      f"tags={_compact_field(item.get('tags'))}; "
                      f"specifications={_compact_field(item.get('specifications'))}"
                  )
              with c2:
                  if st.button("✕", key=f"remove_ref_{idx}", help="删除该引用"):
                      remove_idx = idx
      if remove_idx is not None:
          refs.pop(remove_idx)
          st.session_state.referenced_products = refs
          st.rerun()
  
  
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  def _load_product_image(product: ProductItem) -> Optional[Image.Image]:
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      """Try to load a product image: image_url from API (normalized when stored) → local data/images → None."""
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      if product.image_url:
          try:
              import requests
              resp = requests.get(product.image_url, timeout=10)
              if resp.status_code == 200:
                  import io
                  return Image.open(io.BytesIO(resp.content))
          except Exception as e:
              logger.debug(f"Remote image fetch failed for {product.spu_id}: {e}")
  
      local = Path(f"data/images/{product.spu_id}.jpg")
      if local.exists():
          try:
              return Image.open(local)
          except Exception as e:
              logger.debug(f"Local image load failed {local}: {e}")
      return None
  
  
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  def _run_similar_search(query: str) -> Optional[str]:
      """Run product search with query, register result, return new ref_id or None."""
      if not query or not query.strip():
          return None
      from app.tools.search_tools import make_search_products_tool
  
      session_id = st.session_state.get("session_id", "")
      if not session_id:
          return None
      tool = make_search_products_tool(session_id, global_registry)
      try:
          out = tool.invoke({"query": query.strip(), "limit": 12})
          match = SEARCH_REF_PATTERN.search(out)
          if match:
              return match.group(1).strip()
      except Exception as e:
          logger.warning(f"Similar search failed: {e}")
      return None
  
  
  def display_product_card_from_item(
      product: ProductItem,
      ref_id: str,
      index: int,
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      widget_prefix: str = "",
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  ) -> None:
      """Render a single product card with hover actions: Similar products + checkbox."""
      pkey = _product_key(ref_id, index, product)
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      key_suffix = f"{widget_prefix}_{pkey}" if widget_prefix else pkey
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      info = _product_to_info(product, ref_id)
      selected = st.session_state.selected_products
  
      st.markdown('<div class="product-card-wrapper">', unsafe_allow_html=True)
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      img = _load_product_image(product)
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      if img:
          target = (220, 220)
          try:
              img = ImageOps.fit(img, target, method=Image.Resampling.LANCZOS)
          except AttributeError:
              img = ImageOps.fit(img, target, method=Image.LANCZOS)
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          st.image(img, width="stretch")
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      else:
          st.markdown(
              '<div style="height:120px;background:#f5f5f5;border-radius:6px;'
              'display:flex;align-items:center;justify-content:center;'
              'color:#bbb;font-size:2rem;">🛍️</div>',
              unsafe_allow_html=True,
          )
  
      title = product.title or "未知商品"
      st.markdown(f"**{title[:40]}**" + ("…" if len(title) > 40 else ""))
  
      if product.price is not None:
          st.caption(f"¥{product.price:.2f}")
  
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      label_style = "⭐" if product.match_label == "Relevant" else "✦"
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      st.caption(f"{label_style} {product.match_label}")
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      st.markdown('<div class="product-card-actions">', unsafe_allow_html=True)
      col_a, col_b = st.columns([1, 1])
      with col_a:
          similar_clicked = st.button(
              "Similar products",
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              key=f"similar_{key_suffix}",
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              help="Search by this product title and show in side panel",
          )
      with col_b:
          is_checked = st.checkbox(
              "Select",
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              key=f"select_{key_suffix}",
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              value=(pkey in selected),
              label_visibility="collapsed",
          )
      st.markdown("</div>", unsafe_allow_html=True)
      st.markdown("</div>", unsafe_allow_html=True)
  
      if similar_clicked:
          search_query = (product.title or "").strip() or "商品"
          new_ref = _run_similar_search(search_query)
          if new_ref:
              st.session_state.side_panel = {
                  "visible": True,
                  "mode": "similar",
                  "payload": {"ref_id": new_ref, "query": search_query},
              }
          else:
              st.session_state.side_panel = {
                  "visible": True,
                  "mode": "similar",
                  "payload": {"ref_id": None, "query": search_query, "error": True},
              }
          st.rerun()
  
      if is_checked:
          if pkey not in selected:
              selected[pkey] = info
      else:
          selected.pop(pkey, None)
  
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  def render_search_result_block(result: SearchResult, widget_prefix: str = "") -> None:
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      """
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      Render a full search result block in place of a [SEARCH_REF:xxx] token.
  
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      widget_prefix: unique per (message, ref block) so Streamlit widget keys stay unique.
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      """
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      summary_line = f' &nbsp;·&nbsp;{result.quality_summary}' if result.quality_summary else ''
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      header_html = (
          f'<div style="border:1px solid #e0e0e0;border-radius:8px;padding:10px 14px;'
          f'margin:8px 0 4px 0;background:#fafafa;">'
          f'<span style="font-size:0.8rem;color:#555;">'
          f'🔍 <b>{result.query}</b>'
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          f'&nbsp;·&nbsp;Relevant&nbsp;{result.perfect_count}&nbsp;件'
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          f'&nbsp;·&nbsp;Partially Relevant&nbsp;{result.partial_count}&nbsp;件'
          f'{summary_line}'
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          f'</span></div>'
      )
      st.markdown(header_html, unsafe_allow_html=True)
  
      # Perfect matches first, fall back to partials if none
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      perfect = [p for p in result.products if p.match_label == "Relevant"]
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      partial = [p for p in result.products if p.match_label == "Partially Relevant"]
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      to_show = (perfect + partial)[:6] if perfect else partial[:6]
  
      if not to_show:
          st.caption("(本次搜索未找到可展示的商品)")
          return
  
      cols = st.columns(min(len(to_show), 3))
      for i, product in enumerate(to_show):
          with cols[i % 3]:
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              display_product_card_from_item(
                  product, result.ref_id, i, widget_prefix=widget_prefix
              )
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  def render_message_with_refs(
      content: str,
      session_id: str,
      fallback_refs: Optional[dict] = None,
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      msg_index: int = 0,
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  ) -> None:
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      """
      Render an assistant message that may contain [SEARCH_REF:xxx] tokens.
  
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      msg_index: message index in chat, used to keep widget keys unique across messages.
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      """
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      fallback_refs = fallback_refs or {}
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      parts = SEARCH_REF_PATTERN.split(content)
  
      for i, segment in enumerate(parts):
          if i % 2 == 0:
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              text = segment.strip()
              if text:
                  st.markdown(text)
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          else:
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              ref_id = segment.strip()
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              result = global_registry.get(session_id, ref_id) or fallback_refs.get(ref_id)
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              if result:
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                  widget_prefix = f"m{msg_index}_r{i}"
                  render_search_result_block(result, widget_prefix=widget_prefix)
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              else:
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                  st.caption(f"[搜索结果 {ref_id} 不可用]")
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  def display_message(message: dict, msg_index: int = 0):
      """Display a chat message. msg_index keeps widget keys unique across messages."""
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      role = message["role"]
      content = message["content"]
      image_path = message.get("image_path")
      tool_calls = message.get("tool_calls", [])
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      debug_steps = message.get("debug_steps", [])
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      if role == "user":
          st.markdown('<div class="message user-message">', unsafe_allow_html=True)
  
          if image_path and Path(image_path).exists():
              try:
                  img = Image.open(image_path)
                  st.image(img, width=200)
              except Exception:
                  logger.warning(f"Failed to load user uploaded image: {image_path}")
  
          st.markdown(content)
          st.markdown("</div>", unsafe_allow_html=True)
  
      else:  # assistant
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          # Tool call breadcrumb
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          if tool_calls:
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              tool_names = [tc["name"] for tc in tool_calls]
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              st.caption(" → ".join(tool_names))
              st.markdown("")
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          # Debug panel
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          if debug_steps and st.session_state.get("show_debug"):
              with st.expander("思考 & 工具调用详细过程", expanded=False):
                  for idx, step in enumerate(debug_steps, 1):
                      node = step.get("node", "unknown")
                      st.markdown(f"**Step {idx} – {node}**")
  
                      if node == "agent":
                          msgs = step.get("messages", [])
                          if msgs:
                              st.markdown("**Agent Messages**")
                              for m in msgs:
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                                  st.markdown(f"- `{m.get('type', 'assistant')}`: {m.get('content', '')}")
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                          tcs = step.get("tool_calls", [])
                          if tcs:
                              st.markdown("**Planned Tool Calls**")
                              for j, tc in enumerate(tcs, 1):
                                  st.markdown(f"- **{j}. {tc.get('name')}**")
                                  st.code(tc.get("args", {}), language="json")
  
                      elif node == "tools":
                          results = step.get("results", [])
                          if results:
                              st.markdown("**Tool Results**")
                              for j, r in enumerate(results, 1):
                                  st.markdown(f"- **Result {j}:**")
                                  st.code(r.get("content", ""), language="text")
  
                      st.markdown("---")
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          # Render message: expand [SEARCH_REF:xxx] tokens into product card blocks
          session_id = st.session_state.get("session_id", "")
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          render_message_with_refs(
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              content, session_id, fallback_refs=message.get("search_refs"), msg_index=msg_index
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          )
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          st.markdown("</div>", unsafe_allow_html=True)
  
  
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  def render_bottom_actions_bar() -> None:
      """Show Ask and Compare when there are selected products. Disabled when none selected."""
      selected = st.session_state.selected_products
      n = len(selected)
      if n == 0:
          return
      st.markdown(
          '<div class="bottom-actions-bar">',
          unsafe_allow_html=True,
      )
      col_sel, col_ask, col_cmp = st.columns([2, 1, 1])
      with col_sel:
          st.caption(f"Selected: {n}")
      with col_ask:
          ask_clicked = st.button("Ask", key="bottom_ask", help="Continue conversation with selected products")
      with col_cmp:
          compare_clicked = st.button("Compare", key="bottom_compare", help="Compare selected products")
      st.markdown("</div>", unsafe_allow_html=True)
  
      if ask_clicked:
          st.session_state.referenced_products = list(selected.values())
          st.rerun()
      if compare_clicked:
          st.session_state.side_panel = {
              "visible": True,
              "mode": "compare",
              "payload": list(selected.values()),
          }
          st.rerun()
  
  
  def render_side_drawer() -> None:
      """Render a fixed overlay side drawer that does not change background layout."""
      panel = st.session_state.side_panel
      if not panel.get("visible") or not panel.get("mode"):
          return
  
      mode = panel["mode"]
      payload = panel.get("payload") or {}
      session_id = st.session_state.get("session_id", "")
  
      title = "Similar products" if mode == "similar" else "Compare"
      body_html = ""
  
      if mode == "similar":
          ref_id = payload.get("ref_id")
          query = html.escape(payload.get("query", ""))
          if payload.get("error") or not ref_id:
              body_html = '<p style="color:#666;">搜索失败或暂无结果。</p>'
          else:
              result = global_registry.get(session_id, ref_id)
              if not result:
                  body_html = f'<p style="color:#666;">[搜索结果 {html.escape(ref_id)} 不可用]</p>'
              else:
                  perfect = [p for p in result.products if p.match_label == "Relevant"]
                  partial = [p for p in result.products if p.match_label == "Partially Relevant"]
                  to_show = (perfect + partial)[:12] if perfect else partial[:12]
                  cards = []
                  for product in to_show:
                      p_title = html.escape((product.title or "未知商品")[:80])
                      p_label = html.escape(product.match_label or "Partially Relevant")
                      price = (
                          f"¥{product.price:.2f}"
                          if product.price is not None
                          else "价格待更新"
                      )
                      image_html = (
                          f'<img src="{html.escape(product.image_url)}" alt="{p_title}" '
                          'style="width:64px;height:64px;object-fit:cover;border-radius:8px;border:1px solid #eee;" />'
                          if product.image_url
                          else '<div style="width:64px;height:64px;background:#f5f5f5;border-radius:8px;'
                          'display:flex;align-items:center;justify-content:center;color:#bbb;">🛍️</div>'
                      )
                      cards.append(
                          '<div style="display:flex;gap:10px;border:1px solid #eee;border-radius:10px;'
                          'padding:10px;background:#fff;">'
                          f"{image_html}"
                          '<div style="flex:1;min-width:0;">'
                          f'<div style="font-weight:600;color:#111;line-height:1.35;">{p_title}</div>'
                          f'<div style="font-size:0.9rem;color:#555;margin-top:4px;">{price}</div>'
                          f'<div style="font-size:0.8rem;color:#777;margin-top:4px;">{p_label}</div>'
                          "</div></div>"
                      )
  
                  cards_html = "".join(cards) if cards else '<p style="color:#666;">(未找到可展示的商品)</p>'
                  body_html = (
                      f'<div style="font-size:0.92rem;color:#555;margin-bottom:10px;">'
                      f'基于「{query}」的搜索结果:</div>'
                      '<div style="display:grid;gap:10px;">'
                      f"{cards_html}"
                      "</div>"
                  )
      else:
          items = payload if isinstance(payload, list) else []
          if items:
              rows = []
              for item in items:
                  t = html.escape((item.get("title") or "未知商品")[:80])
                  p = item.get("price")
                  ptext = f"¥{p:.2f}" if p is not None else "价格待更新"
                  rows.append(
                      '<div style="border:1px solid #eee;border-radius:10px;padding:10px;background:#fff;">'
                      f'<div style="font-weight:600;color:#111;">{t}</div>'
                      f'<div style="font-size:0.9rem;color:#555;margin-top:4px;">{ptext}</div>'
                      "</div>"
                  )
              items_html = "".join(rows)
          else:
              items_html = '<p style="color:#666;">当前未选中商品。</p>'
          body_html = (
              '<div style="margin-bottom:10px;color:#555;">已选商品:</div>'
              f'<div style="display:grid;gap:10px;">{items_html}</div>'
              '<div style="margin-top:14px;padding:10px 12px;border-radius:8px;'
              'background:#fff3cd;color:#856404;">对比功能暂未实现。</div>'
          )
  
      st.markdown(
          f"""
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          <div class="side-drawer-backdrop" id="side-drawer-backdrop"></div>
          <div class="side-drawer-panel open" id="side-drawer-panel">
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              <div class="side-drawer-header">
                  <div style="font-weight:600;">{html.escape(title)}</div>
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                  <button id="side-drawer-close-btn"> 关闭</button>
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              </div>
              <div class="side-drawer-content">
                  {body_html}
              </div>
          </div>
          """,
          unsafe_allow_html=True,
      )
  
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      st_components.html("""
      <script>
      (function() {
          var pd = window.parent.document;
          var btn = pd.getElementById('side-drawer-close-btn');
          var backdrop = pd.getElementById('side-drawer-backdrop');
          var panel = pd.getElementById('side-drawer-panel');
          function closeDrawer() {
              if (backdrop) backdrop.style.display = 'none';
              if (panel) panel.style.display = 'none';
              var url = new URL(window.parent.location);
              url.searchParams.set('close_side_panel', '1');
              window.parent.history.replaceState({}, '', url);
          }
          if (btn) btn.onclick = closeDrawer;
          if (backdrop) backdrop.onclick = closeDrawer;
      })();
      </script>
      """, height=0)
  
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  def display_welcome():
      """Display welcome screen"""
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      col1, col2, col3, col4 = st.columns(4)
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      with col1:
          st.markdown(
              """
              <div class="feature-card">
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                  <div class="feature-icon">💗</div>
                  <div class="feature-title">懂你</div>
                  <div>能记住你的偏好,给你推荐适合的</div>
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              </div>
              """,
              unsafe_allow_html=True,
          )
  
      with col2:
          st.markdown(
              """
              <div class="feature-card">
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                  <div class="feature-title">懂商品</div>
                  <div>深度理解店铺内所有商品,智能匹配你的需求</div>
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              </div>
              """,
              unsafe_allow_html=True,
          )
  
      with col3:
          st.markdown(
              """
              <div class="feature-card">
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                  <div class="feature-title">贴心</div>
                  <div>任意聊</div>
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              </div>
              """,
              unsafe_allow_html=True,
          )
  
      with col4:
          st.markdown(
              """
              <div class="feature-card">
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                  <div class="feature-title">懂时尚</div>
                  <div>穿搭顾问 + 轻松对比</div>
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              </div>
              """,
              unsafe_allow_html=True,
          )
  
      st.markdown("<br><br>", unsafe_allow_html=True)
  
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  def main():
      """Main Streamlit app"""
      initialize_session()
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      # Sync drawer close state from JS (set by JS via history.replaceState, no reload)
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      if st.query_params.get("close_side_panel"):
          st.session_state.side_panel = {"visible": False, "mode": None, "payload": None}
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          st.query_params.clear()
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      # Drawer rendered early so fixed positioning works from top of DOM
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      render_side_drawer()
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      # Header
      st.markdown(
          """
          <div class="app-header">
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              <div class="app-subtitle">AI Fashion Shopping Assistant</div>
          </div>
          """,
          unsafe_allow_html=True,
      )
  
      # Sidebar (collapsed by default, but accessible)
      with st.sidebar:
          st.markdown("### ⚙️ Settings")
  
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          if st.button("🗑️ Clear Chat", width="stretch"):
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              if "shopping_agent" in st.session_state:
                  st.session_state.shopping_agent.clear_history()
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              # Clear search result registry for this session
              session_id = st.session_state.get("session_id", "")
              if session_id:
                  global_registry.clear_session(session_id)
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              st.session_state.messages = []
              st.session_state.uploaded_image = None
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              st.session_state.selected_products = {}
              st.session_state.referenced_products = []
              st.session_state.side_panel = {"visible": False, "mode": None, "payload": None}
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              st.rerun()
  
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          # Debug toggle
          st.markdown("---")
          st.checkbox(
              "显示调试过程 (debug)",
              key="show_debug",
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              value=True,
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              help="展开后可查看中间思考过程及工具调用详情",
          )
  
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          st.markdown("---")
          st.caption(f"Session: `{st.session_state.session_id[:8]}...`")
  
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      messages_container = st.container()
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      with messages_container:
          if not st.session_state.messages:
              display_welcome()
          else:
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              for msg_idx, message in enumerate(st.session_state.messages):
                  display_message(message, msg_index=msg_idx)
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      render_bottom_actions_bar()
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      # Fixed input area at bottom (using container to simulate fixed position)
      st.markdown('<div class="fixed-input-container">', unsafe_allow_html=True)
  
      input_container = st.container()
  
      with input_container:
          # Image upload area (shown when + is clicked)
          if st.session_state.show_image_upload:
              uploaded_file = st.file_uploader(
                  "Choose an image",
                  type=["jpg", "jpeg", "png"],
                  key="file_uploader",
              )
  
              if uploaded_file:
                  st.session_state.uploaded_image = uploaded_file
                  # Show preview
                  col1, col2 = st.columns([1, 4])
                  with col1:
                      img = Image.open(uploaded_file)
                      st.image(img, width=100)
                  with col2:
                      if st.button("❌ Remove"):
                          st.session_state.uploaded_image = None
                          st.session_state.show_image_upload = False
                          st.rerun()
  
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          # Referenced products area (shown above chat input, each can be removed)
          render_referenced_products_in_input()
  
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          # Input row
          col1, col2 = st.columns([1, 12])
  
          with col1:
              # Image upload toggle button
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              if st.button("➕", help="Add image", width="stretch"):
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                  st.session_state.show_image_upload = (
                      not st.session_state.show_image_upload
                  )
                  st.rerun()
  
          with col2:
              # Text input
              user_query = st.chat_input(
                  "Ask about fashion products...",
                  key="chat_input",
              )
  
      st.markdown("</div>", unsafe_allow_html=True)
  
      # Process user input
      if user_query:
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          raw_user_query = user_query
          referenced_products = list(st.session_state.get("referenced_products", []))
          agent_query = raw_user_query
          if referenced_products:
              agent_query = f"{_build_reference_prefix(referenced_products)}\n\n{raw_user_query}"
  
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          # Ensure shopping agent is initialized
          if "shopping_agent" not in st.session_state:
              st.error("Session not initialized. Please refresh the page.")
              st.stop()
  
          # Save uploaded image if present, or get from recent history
          image_path = None
          if st.session_state.uploaded_image:
              # User explicitly uploaded an image for this query
              image_path = save_uploaded_image(st.session_state.uploaded_image)
          else:
              # Check if query refers to a previous image
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              if any(
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                  ref in raw_user_query.lower()
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                  for ref in [
                      "this",
                      "that",
                      "the image",
                      "the shirt",
                      "the product",
                      "it",
                  ]
              ):
                  # Find the most recent message with an image
                  for msg in reversed(st.session_state.messages):
                      if msg.get("role") == "user" and msg.get("image_path"):
                          image_path = msg["image_path"]
                          logger.info(f"Using image from previous message: {image_path}")
                          break
  
          # Add user message
          st.session_state.messages.append(
              {
                  "role": "user",
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                  "content": raw_user_query,
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                  "image_path": image_path,
              }
          )
  
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          # References are consumed once this message is sent
          st.session_state.referenced_products = []
  
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          # Display user message immediately
          with messages_container:
              display_message(st.session_state.messages[-1])
  
          # Process with shopping agent
          try:
              shopping_agent = st.session_state.shopping_agent
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              # Process with agent
              result = shopping_agent.chat(
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                  query=agent_query,
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                  image_path=image_path,
              )
              response = result["response"]
              tool_calls = result.get("tool_calls", [])
              debug_steps = result.get("debug_steps", [])
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              # Add assistant message (store search_refs so refs resolve after rerun)
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              st.session_state.messages.append(
                  {
                      "role": "assistant",
                      "content": response,
                      "tool_calls": tool_calls,
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                      "debug_steps": debug_steps,
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                      "search_refs": result.get("search_refs", {}),
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                  }
              )
  
              # Clear uploaded image and hide upload area after sending
              st.session_state.uploaded_image = None
              st.session_state.show_image_upload = False
  
              # Auto-scroll to bottom with JavaScript
              st.markdown(
                  """
                  <script>
                  window.scrollTo(0, document.body.scrollHeight);
                  </script>
                  """,
                  unsafe_allow_html=True,
              )
  
          except Exception as e:
              logger.error(f"Error processing query: {e}", exc_info=True)
              error_msg = f"I apologize, I encountered an error: {str(e)}"
  
              st.session_state.messages.append(
                  {
                      "role": "assistant",
                      "content": error_msg,
                  }
              )
  
          # Rerun to update UI
          st.rerun()
  
  
  if __name__ == "__main__":
      main()