Spaces:
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Update app.py
Browse files
app.py
CHANGED
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@@ -1,46 +1,40 @@
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import streamlit as st
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-
from search_utils import
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import logging
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import time
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import os
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import sys
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import psutil
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from urllib.parse import urlparse
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import threading
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import re
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-
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# Configure logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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handlers=[
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logging.StreamHandler()
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]
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)
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logger = logging.getLogger("SemanticSearchApp")
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# Security validation functions
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def is_valid_url(url):
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"""Validate URL format and safety"""
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try:
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result = urlparse(url)
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-
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-
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# Add additional security checks here
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return True
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except:
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return False
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def sanitize_query(query):
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"""Sanitize user input to prevent injection attacks"""
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try:
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# Remove non-alphanumeric characters except spaces and hyphens
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clean_query = re.sub(r'[^\w\s-]', '', query)
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return clean_query[:256] # Truncate to prevent long queries
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except Exception as e:
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logger.error(f"Query sanitization failed: {str(e)}")
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return query[:256] # Fallback truncation
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# Diagnostics integration
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try:
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@@ -50,29 +44,24 @@ except ImportError:
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diagnostics_available = False
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logger.warning("Diagnostics module not available")
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def add_diagnostics_ui(search_system):
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"""Enhanced diagnostics UI with proper directory checks"""
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with st.sidebar.expander("π§ Diagnostics", expanded=False):
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if st.button("Run Full System Check"):
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with st.spinner("Performing comprehensive system check..."):
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# Create columns for organized display
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col1, col2 = st.columns(2)
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# Get actual paths from the search system
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metadata_dir = search_system.metadata_mgr.
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faiss_dir =
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with col1:
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# Metadata directory check
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st.subheader("π Metadata Validation")
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if metadata_dir.exists():
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-
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dir_status = any(metadata_dir.glob("*.parquet"))
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st.write(f"Directory: `{metadata_dir}`")
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st.write(f"Parquet Files Found: {'β
' if
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# Check individual files
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if diagnose_parquet_files(str(metadata_dir)):
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st.success("β
Metadata shards valid")
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else:
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st.error("β Metadata issues detected")
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@@ -80,33 +69,24 @@ def add_diagnostics_ui(search_system):
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st.error("Metadata directory not found")
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with col2:
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# FAISS index check
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st.subheader("π FAISS Validation")
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st.
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st.write(f"Index Files Found: {len(index_files)}")
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if len(search_system.index_shards) > 0:
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st.success(f"β
{len(search_system.index_shards)} FAISS shards loaded")
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st.write(f"Total Vectors: {sum(s.ntotal for s in search_system.index_shards):,}")
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else:
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st.error("β No FAISS shards loaded")
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else:
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st.error("
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# System resource check
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st.subheader("π» System Resources")
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col_res1, col_res2 = st.columns(2)
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with col_res1:
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st.metric("Memory Usage",
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-
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-
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with col_res2:
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st.metric("CPU Utilization",
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def main():
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st.set_page_config(
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page_title="Semantic Search Engine",
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@@ -114,12 +94,11 @@ def main():
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layout="wide"
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)
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# Initialize search system with
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@st.cache_resource(ttl=3600, show_spinner="Initializing search engine...")
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def init_search_system():
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try:
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system =
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system.initialize_system()
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logger.info("Search system initialized successfully")
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return system
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except Exception as e:
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@@ -127,7 +106,7 @@ def main():
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st.error("Critical system initialization error. Check logs.")
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st.stop()
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# Custom CSS
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st.markdown("""
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<style>
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div[data-testid="stExpander"] div[role="button"] p {
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@@ -161,17 +140,15 @@ def main():
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st.error(f"Failed to initialize search system: {str(e)}")
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st.stop()
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# Main UI components
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st.title("π Semantic Search Engine")
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# Search input with sanitization
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query = st.text_input("Enter your search query:",
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-
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if query:
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try:
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# Sanitize and validate query
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clean_query = sanitize_query(query)
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if not clean_query:
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st.warning("Please enter a valid search query")
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@@ -179,29 +156,29 @@ def main():
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with st.spinner("π Searching through documents..."):
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start_time = time.time()
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results = search_system.search(clean_query, 5)
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search_duration = time.time() - start_time
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if
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st.subheader(f"Top Results ({search_duration:.2f}s)")
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-
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with st.expander(f"{row['title']}"):
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# Similarity visualization
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col1, col2 = st.columns([3, 1])
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with col1:
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st.markdown(f"**Summary**
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with col2:
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st.markdown(
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f"<div class='similarity-badge'>"
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f"Confidence: {
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f"</div>",
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unsafe_allow_html=True
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)
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st.progress(float(
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-
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else:
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st.warning("Invalid source URL")
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else:
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@@ -212,41 +189,36 @@ def main():
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- Check your spelling
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- Avoid special characters
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""")
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-
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except Exception as e:
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logger.error(f"Search failed: {str(e)}")
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st.error("Search operation failed. Please try again.")
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# System monitoring
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with st.sidebar:
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st.subheader("π System Status")
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col1, col2 = st.columns(2)
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-
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with col1:
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st.metric("Total Documents",
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-
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-
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-
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with col2:
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-
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-
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-
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-
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st.metric("Active Memory",
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-
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-
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# Diagnostics section
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if diagnostics_available:
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add_diagnostics_ui(search_system)
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else:
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st.warning("Diagnostics module not available")
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# Health check with error handling
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if st.button("π©Ί Run Health Check"):
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try:
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system_stats = {
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"shards_loaded":
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"metadata_records": search_system.metadata_mgr.total_docs,
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"memory_usage": f"{psutil.Process().memory_info().rss // 1024 ** 2} MB",
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"active_threads": threading.active_count(),
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@@ -256,13 +228,12 @@ def main():
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except Exception as e:
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st.error(f"Health check failed: {str(e)}")
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# Cache management
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if st.button("β»οΈ Clear Cache"):
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try:
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st.cache_resource.clear()
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st.
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except Exception as e:
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st.error(f"Cache clearance failed: {str(e)}")
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if __name__ == "__main__":
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main()
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import streamlit as st
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from search_utils import OptimizedSemanticSearch
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import logging
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import time
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import os
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import sys
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import psutil
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from urllib.parse import urlparse, quote
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import threading
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import re
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# Configure logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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handlers=[logging.StreamHandler()]
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)
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logger = logging.getLogger("SemanticSearchApp")
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# Security validation functions
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def is_valid_url(url: str) -> bool:
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"""Validate URL format and safety."""
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try:
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result = urlparse(url)
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return all([result.scheme, result.netloc])
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except Exception:
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return False
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def sanitize_query(query: str) -> str:
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"""Sanitize user input to prevent injection attacks."""
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try:
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# Remove non-alphanumeric characters except spaces and hyphens.
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clean_query = re.sub(r'[^\w\s-]', '', query)
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return clean_query[:256] # Truncate to prevent overly long queries.
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except Exception as e:
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logger.error(f"Query sanitization failed: {str(e)}")
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return query[:256] # Fallback truncation.
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# Diagnostics integration
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try:
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diagnostics_available = False
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logger.warning("Diagnostics module not available")
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def add_diagnostics_ui(search_system: OptimizedSemanticSearch):
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"""Enhanced diagnostics UI with proper directory checks."""
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with st.sidebar.expander("π§ Diagnostics", expanded=False):
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if st.button("Run Full System Check"):
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with st.spinner("Performing comprehensive system check..."):
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col1, col2 = st.columns(2)
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# Get actual paths from the search system.
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metadata_dir = search_system.metadata_mgr.metadata_dir
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faiss_dir = Path("compressed_shards") # Assuming FAISS index dir, if applicable.
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with col1:
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st.subheader("π Metadata Validation")
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if metadata_dir.exists():
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parquet_files = list(metadata_dir.glob("*.parquet"))
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st.write(f"Directory: `{metadata_dir}`")
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st.write(f"Parquet Files Found: {'β
' if parquet_files else 'β'}")
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if diagnostics_available and diagnose_parquet_files(str(metadata_dir)):
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st.success("β
Metadata shards valid")
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else:
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st.error("β Metadata issues detected")
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st.error("Metadata directory not found")
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with col2:
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st.subheader("π FAISS Validation")
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# For the FAISS index, we rely on our search system.
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if hasattr(search_system, 'index') and search_system.index is not None:
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st.success(f"β
FAISS index loaded with {search_system.index.ntotal} vectors")
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else:
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st.error("β No FAISS index loaded")
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st.subheader("π» System Resources")
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col_res1, col_res2 = st.columns(2)
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with col_res1:
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st.metric("Memory Usage",
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f"{psutil.Process().memory_info().rss // 1024 ** 2} MB",
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help="Current process memory usage")
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with col_res2:
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st.metric("CPU Utilization",
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f"{psutil.cpu_percent()}%",
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help="Total system CPU usage")
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+
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def main():
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st.set_page_config(
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page_title="Semantic Search Engine",
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layout="wide"
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)
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# Initialize the optimized search system with caching.
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@st.cache_resource(ttl=3600, show_spinner="Initializing search engine...")
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def init_search_system():
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try:
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system = OptimizedSemanticSearch()
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logger.info("Search system initialized successfully")
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return system
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except Exception as e:
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st.error("Critical system initialization error. Check logs.")
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st.stop()
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+
# Custom CSS for enhanced visual design.
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st.markdown("""
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<style>
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div[data-testid="stExpander"] div[role="button"] p {
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st.error(f"Failed to initialize search system: {str(e)}")
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st.stop()
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st.title("π Semantic Search Engine")
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+
# Search input with sanitization.
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query = st.text_input("Enter your search query:",
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placeholder="Search documents...",
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max_chars=200)
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if query:
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try:
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clean_query = sanitize_query(query)
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if not clean_query:
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st.warning("Please enter a valid search query")
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with st.spinner("π Searching through documents..."):
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start_time = time.time()
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+
results = search_system.search(clean_query, top_k=5)
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search_duration = time.time() - start_time
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if results:
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st.subheader(f"Top Results (Search completed in {search_duration:.2f}s)")
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for res in results:
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with st.expander(f"{res.get('title', 'Untitled')}"):
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col1, col2 = st.columns([3, 1])
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with col1:
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+
st.markdown(f"**Summary:** {res.get('summary', '')}")
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with col2:
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st.markdown(
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f"<div class='similarity-badge'>"
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+
f"Confidence: {res.get('similarity', 0):.1%}"
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f"</div>",
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unsafe_allow_html=True
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)
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+
st.progress(float(res.get("similarity", 0)))
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+
if res.get("source"):
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+
# Validate URL before displaying.
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+
if is_valid_url(res["source"]):
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+
st.markdown(f"<a class='source-link' href='{res['source']}' target='_blank'>Source Link</a>", unsafe_allow_html=True)
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else:
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st.warning("Invalid source URL")
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else:
|
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- Check your spelling
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- Avoid special characters
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""")
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except Exception as e:
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logger.error(f"Search failed: {str(e)}")
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st.error("Search operation failed. Please try again.")
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+
# Sidebar: System monitoring and diagnostics.
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with st.sidebar:
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st.subheader("π System Status")
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col1, col2 = st.columns(2)
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with col1:
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st.metric("Total Documents",
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+
f"{search_system.metadata_mgr.total_docs:,}",
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help="Total indexed documents in the system")
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with col2:
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+
if hasattr(search_system, 'index'):
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+
st.metric("FAISS Vectors",
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f"{search_system.index.ntotal:,}",
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help="Number of vectors in the FAISS index")
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st.metric("Active Memory",
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f"{psutil.Process().memory_info().rss // 1024 ** 2} MB",
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+
help="Current memory usage by the application")
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|
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if diagnostics_available:
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add_diagnostics_ui(search_system)
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else:
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st.warning("Diagnostics module not available")
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|
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if st.button("π©Ί Run Health Check"):
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try:
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system_stats = {
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+
"shards_loaded": 1 if hasattr(search_system, 'index') else 0,
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"metadata_records": search_system.metadata_mgr.total_docs,
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"memory_usage": f"{psutil.Process().memory_info().rss // 1024 ** 2} MB",
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"active_threads": threading.active_count(),
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except Exception as e:
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st.error(f"Health check failed: {str(e)}")
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|
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if st.button("β»οΈ Clear Cache"):
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| 232 |
try:
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st.cache_resource.clear()
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+
st.experimental_rerun()
|
| 235 |
except Exception as e:
|
| 236 |
st.error(f"Cache clearance failed: {str(e)}")
|
| 237 |
|
| 238 |
if __name__ == "__main__":
|
| 239 |
+
main()
|