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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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feat(ui): product...
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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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up`
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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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feat: 搜索结果引用与并行搜索...
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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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feat(ui): 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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up
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label_style = "⭐" if product.match_label == "Relevant" else "✦"
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feat: 搜索结果引用与并行搜索...
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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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feat(ui): product...
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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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feat(ui): product...
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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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feat: 搜索结果引用与并行搜索...
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tangwang
feat(ui): product...
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def render_search_result_block(result: SearchResult, widget_prefix: str = "") -> None:
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first commit
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"""
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feat: 搜索结果引用与并行搜索...
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Render a full search result block in place of a [SEARCH_REF:xxx] token.
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feat(ui): product...
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widget_prefix: unique per (message, ref block) so Streamlit widget keys stay unique.
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tangwang
feat: 搜索结果引用与并行搜索...
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"""
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refactor(search):...
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summary_line = f' · {result.quality_summary}' if result.quality_summary else ''
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feat: 搜索结果引用与并行搜索...
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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' · Relevant {result.perfect_count} 件'
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refactor(search):...
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f' · Partially Relevant {result.partial_count} 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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refactor(search):...
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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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feat(ui): product...
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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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feat(ui): product...
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msg_index: int = 0,
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up
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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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feat: 搜索结果引用与并行搜索...
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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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feat: 搜索结果引用与并行搜索...
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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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feat: 搜索结果引用与并行搜索...
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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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feat(ui): product...
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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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feat(ui): product...
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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-icon">🛍️</div>
<div class="feature-title">懂商品</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-icon">💭</div>
<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-icon">👗</div>
<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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feat(ui): product...
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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-title">👗 ShopAgent</div>
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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()
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