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Reference Search Module for Agricultural Analysis
Searches Firestore database for relevant references
"""
import logging
from typing import List, Dict, Any
from datetime import datetime
# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
try:
# Use our configured Firestore client instead of direct import
from utils.firebase_config import get_firestore_client
FIRESTORE_AVAILABLE = True
except ImportError:
FIRESTORE_AVAILABLE = False
logger.warning("Firestore not available. Database search will be disabled.")
class ReferenceSearchEngine:
"""Search engine for finding relevant references from database"""
def __init__(self):
self.firestore_client = None
self._initialize_clients()
def _initialize_clients(self):
"""Initialize Firestore client"""
# Initialize Firestore client
if FIRESTORE_AVAILABLE:
try:
self.firestore_client = get_firestore_client()
if self.firestore_client:
logger.info("Firestore client initialized successfully")
else:
logger.warning("Firestore client returned None - check Firebase configuration")
except Exception as e:
logger.error(f"Failed to initialize Firestore client: {str(e)}")
else:
logger.warning("Firestore not available - database search disabled")
def search_database_references(self, query: str, limit: int = 5) -> List[Dict[str, Any]]:
"""Search for references in Firestore reference_documents collection with enhanced PDF support"""
if not self.firestore_client:
logger.warning("Firestore client not available")
return []
try:
# Search in reference_documents collection
ref = self.firestore_client.collection('reference_documents')
# Get more documents to filter (increased from limit * 3 to limit * 5)
docs = ref.limit(limit * 5).stream()
results = []
for doc in docs:
doc_data = doc.to_dict()
doc_data['id'] = doc.id
# Enhanced content extraction for PDFs
title = self._extract_pdf_title(doc_data)
content = self._extract_pdf_content(doc_data)
file_type = doc_data.get('file_type', '').lower()
file_name = doc_data.get('file_name', '')
# Check if query terms appear in title, content, or tags
searchable_text = f"{title} {content} {doc_data.get('tags', '')}".lower()
query_terms = query.lower().split()
if any(term in searchable_text for term in query_terms):
result = {
'id': doc.id,
'title': title,
'content': content,
'source': 'Database',
'url': doc_data.get('url', ''),
'tags': doc_data.get('tags', []),
'created_at': doc_data.get('created_at', ''),
'relevance_score': self._calculate_relevance_score(query_terms, searchable_text),
'file_type': file_type,
'file_name': file_name
}
# Add PDF-specific information
if file_type == 'pdf' or file_name.lower().endswith('.pdf'):
result.update({
'pdf_title': doc_data.get('pdf_title', title),
'pdf_abstract': doc_data.get('pdf_abstract', ''),
'pdf_keywords': doc_data.get('pdf_keywords', []),
'pdf_authors': doc_data.get('pdf_authors', []),
'pdf_pages': doc_data.get('pdf_pages', 0),
'pdf_language': doc_data.get('pdf_language', 'en')
})
results.append(result)
# Sort by relevance and limit results
results.sort(key=lambda x: x['relevance_score'], reverse=True)
logger.info(f"Found {len(results)} relevant database references for query: {query}")
return results[:limit]
except Exception as e:
logger.error(f"Error searching database references: {str(e)}")
return []
def _extract_pdf_title(self, doc_data: Dict[str, Any]) -> str:
"""Extract PDF title with fallback options"""
# Try different title fields in order of preference
title_fields = ['pdf_title', 'title', 'document_title', 'name']
for field in title_fields:
title = doc_data.get(field, '').strip()
if title and len(title) > 3: # Valid title
return title
# Fallback to filename without extension
file_name = doc_data.get('file_name', '')
if file_name:
name_without_ext = file_name.rsplit('.', 1)[0] if '.' in file_name else file_name
if name_without_ext:
return name_without_ext.replace('_', ' ').replace('-', ' ').title()
return 'Untitled Document'
def _extract_pdf_content(self, doc_data: Dict[str, Any]) -> str:
"""Extract PDF content with fallback options"""
# Try different content fields in order of preference
content_fields = ['pdf_content', 'content', 'text_content', 'extracted_text', 'abstract']
for field in content_fields:
content = doc_data.get(field, '').strip()
if content and len(content) > 50: # Substantial content
# Truncate very long content to avoid token limits
if len(content) > 2000:
content = content[:2000] + "..."
return content
# If no substantial content, try to build from available fields
content_parts = []
# Add abstract if available
abstract = doc_data.get('pdf_abstract', '').strip()
if abstract:
content_parts.append(f"Abstract: {abstract}")
# Add keywords if available
keywords = doc_data.get('pdf_keywords', [])
if keywords:
content_parts.append(f"Keywords: {', '.join(keywords)}")
# Add tags if available
tags = doc_data.get('tags', [])
if tags:
content_parts.append(f"Tags: {', '.join(tags)}")
return ' '.join(content_parts) if content_parts else 'No content available'
def _calculate_relevance_score(self, query_terms: List[str], text: str) -> float:
"""Calculate relevance score based on term frequency"""
score = 0.0
text_lower = text.lower()
for term in query_terms:
if term in text_lower:
# Count occurrences
count = text_lower.count(term)
score += count * 0.1
# Bonus for title matches
if term in text_lower[:100]: # First 100 chars (likely title)
score += 0.5
return min(score, 1.0) # Cap at 1.0
def search_all_references(self, query: str, db_limit: int = 8) -> Dict[str, Any]:
"""Search database for references"""
logger.info(f"Searching database references for query: {query}")
# Search database references only
db_results = self.search_database_references(query, db_limit)
logger.info(f"Found {len(db_results)} database references")
return {
'database_references': db_results,
'web_references': [], # Empty list for compatibility
'total_found': len(db_results),
'search_query': query,
'search_timestamp': datetime.now().isoformat()
}
def format_references_for_display(self, references: Dict[str, List[Dict[str, Any]]]) -> str:
"""Format references for display in results"""
if not references or references.get('total_found', 0) == 0:
return "No relevant references found."
formatted_text = []
formatted_text.append("## 📚 Research References")
formatted_text.append("")
# Database references only
db_refs = references.get('database_references', [])
if db_refs:
formatted_text.append("### 🗄️ Database References")
formatted_text.append("")
for i, ref in enumerate(db_refs, 1):
formatted_text.append(f"**{i}. {ref['title']}**")
formatted_text.append(f" - Source: {ref['source']}")
if ref.get('url'):
formatted_text.append(f" - URL: {ref['url']}")
if ref.get('tags'):
formatted_text.append(f" - Tags: {', '.join(ref['tags'])}")
formatted_text.append(f" - Relevance: {ref.get('relevance_score', 0):.2f}")
formatted_text.append("")
return "\n".join(formatted_text)
def get_reference_summary(self, references: Dict[str, List[Dict[str, Any]]]) -> str:
"""Get a comprehensive summary of references for inclusion in analysis"""
if not references or references.get('total_found', 0) == 0:
return "No relevant references found to support this analysis."
db_count = len(references.get('database_references', []))
summary_parts = []
summary_parts.append(f"Analysis supported by {db_count} database reference(s).")
# Add key insights from top references
all_refs = references.get('database_references', [])
if all_refs:
# Sort by relevance score
sorted_refs = sorted(all_refs, key=lambda x: x.get('relevance_score', 0), reverse=True)
# Add top 3 references
top_refs = sorted_refs[:3]
summary_parts.append("Key references:")
for i, ref in enumerate(top_refs, 1):
title = ref.get('title', 'Untitled')[:100] # Truncate long titles
source = ref.get('source', 'Unknown')
score = ref.get('relevance_score', 0)
summary_parts.append(f"{i}. {title} ({source}, relevance: {score:.2f})")
# Add PDF-specific information if available
pdf_refs = [ref for ref in all_refs if ref.get('file_type') == 'pdf' or ref.get('file_name', '').lower().endswith('.pdf')]
if pdf_refs:
summary_parts.append(f"Found {len(pdf_refs)} PDF research documents with detailed content.")
return " ".join(summary_parts)
# Global instance
reference_search_engine = ReferenceSearchEngine()
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