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# RAG_QA_Chat_DB.py | |
# Description: This file contains the database operations for the RAG QA Chat + Notes system. | |
# | |
# Imports | |
import logging | |
import re | |
import sqlite3 | |
from contextlib import contextmanager | |
from datetime import datetime | |
# | |
# External Imports | |
# | |
# Local Imports | |
# | |
######################################################################################################################## | |
# | |
# Functions: | |
# Set up logging | |
logging.basicConfig(level=logging.INFO) | |
logger = logging.getLogger(__name__) | |
# Database schema | |
SCHEMA_SQL = ''' | |
-- Table for storing chat messages | |
CREATE TABLE IF NOT EXISTS rag_qa_chats ( | |
id INTEGER PRIMARY KEY AUTOINCREMENT, | |
conversation_id TEXT NOT NULL, | |
timestamp DATETIME NOT NULL, | |
role TEXT NOT NULL, | |
content TEXT NOT NULL | |
); | |
-- Table for storing conversation metadata | |
CREATE TABLE IF NOT EXISTS conversation_metadata ( | |
conversation_id TEXT PRIMARY KEY, | |
created_at DATETIME NOT NULL, | |
last_updated DATETIME NOT NULL, | |
title TEXT NOT NULL | |
); | |
-- Table for storing keywords | |
CREATE TABLE IF NOT EXISTS rag_qa_keywords ( | |
id INTEGER PRIMARY KEY AUTOINCREMENT, | |
keyword TEXT NOT NULL UNIQUE | |
); | |
-- Table for linking keywords to conversations | |
CREATE TABLE IF NOT EXISTS rag_qa_conversation_keywords ( | |
id INTEGER PRIMARY KEY AUTOINCREMENT, | |
conversation_id TEXT NOT NULL, | |
keyword_id INTEGER NOT NULL, | |
FOREIGN KEY (conversation_id) REFERENCES conversation_metadata(conversation_id), | |
FOREIGN KEY (keyword_id) REFERENCES rag_qa_keywords(id) | |
); | |
-- Table for storing keyword collections | |
CREATE TABLE IF NOT EXISTS rag_qa_keyword_collections ( | |
id INTEGER PRIMARY KEY AUTOINCREMENT, | |
name TEXT NOT NULL UNIQUE, | |
parent_id INTEGER, | |
FOREIGN KEY (parent_id) REFERENCES rag_qa_keyword_collections(id) | |
); | |
-- Table for linking keywords to collections | |
CREATE TABLE IF NOT EXISTS rag_qa_collection_keywords ( | |
id INTEGER PRIMARY KEY AUTOINCREMENT, | |
collection_id INTEGER NOT NULL, | |
keyword_id INTEGER NOT NULL, | |
FOREIGN KEY (collection_id) REFERENCES rag_qa_keyword_collections(id), | |
FOREIGN KEY (keyword_id) REFERENCES rag_qa_keywords(id) | |
); | |
-- Table for storing notes | |
CREATE TABLE IF NOT EXISTS rag_qa_notes ( | |
id INTEGER PRIMARY KEY AUTOINCREMENT, | |
conversation_id TEXT NOT NULL, | |
content TEXT NOT NULL, | |
timestamp DATETIME NOT NULL, | |
FOREIGN KEY (conversation_id) REFERENCES conversation_metadata(conversation_id) | |
); | |
-- Table for linking notes to keywords | |
CREATE TABLE IF NOT EXISTS rag_qa_note_keywords ( | |
id INTEGER PRIMARY KEY AUTOINCREMENT, | |
note_id INTEGER NOT NULL, | |
keyword_id INTEGER NOT NULL, | |
FOREIGN KEY (note_id) REFERENCES rag_qa_notes(id), | |
FOREIGN KEY (keyword_id) REFERENCES rag_qa_keywords(id) | |
); | |
-- Indexes for improved query performance | |
CREATE INDEX IF NOT EXISTS idx_rag_qa_chats_conversation_id ON rag_qa_chats(conversation_id); | |
CREATE INDEX IF NOT EXISTS idx_rag_qa_chats_timestamp ON rag_qa_chats(timestamp); | |
CREATE INDEX IF NOT EXISTS idx_rag_qa_keywords_keyword ON rag_qa_keywords(keyword); | |
CREATE INDEX IF NOT EXISTS idx_rag_qa_conversation_keywords_conversation_id ON rag_qa_conversation_keywords(conversation_id); | |
CREATE INDEX IF NOT EXISTS idx_rag_qa_conversation_keywords_keyword_id ON rag_qa_conversation_keywords(keyword_id); | |
CREATE INDEX IF NOT EXISTS idx_rag_qa_keyword_collections_parent_id ON rag_qa_keyword_collections(parent_id); | |
CREATE INDEX IF NOT EXISTS idx_rag_qa_collection_keywords_collection_id ON rag_qa_collection_keywords(collection_id); | |
CREATE INDEX IF NOT EXISTS idx_rag_qa_collection_keywords_keyword_id ON rag_qa_collection_keywords(keyword_id); | |
-- Full-text search virtual table for chat content | |
CREATE VIRTUAL TABLE IF NOT EXISTS rag_qa_chats_fts USING fts5(conversation_id, timestamp, role, content); | |
-- Trigger to keep the FTS table up to date | |
CREATE TRIGGER IF NOT EXISTS rag_qa_chats_ai AFTER INSERT ON rag_qa_chats BEGIN | |
INSERT INTO rag_qa_chats_fts(conversation_id, timestamp, role, content) VALUES (new.conversation_id, new.timestamp, new.role, new.content); | |
END; | |
''' | |
# Database connection management | |
def get_db_connection(): | |
conn = sqlite3.connect('rag_qa_chat.db') | |
try: | |
yield conn | |
finally: | |
conn.close() | |
def transaction(): | |
with get_db_connection() as conn: | |
try: | |
conn.execute('BEGIN TRANSACTION') | |
yield conn | |
conn.commit() | |
except Exception: | |
conn.rollback() | |
raise | |
def execute_query(query, params=None, transaction_conn=None): | |
if transaction_conn: | |
cursor = transaction_conn.cursor() | |
if params: | |
cursor.execute(query, params) | |
else: | |
cursor.execute(query) | |
return cursor.fetchall() | |
else: | |
with get_db_connection() as conn: | |
cursor = conn.cursor() | |
if params: | |
cursor.execute(query, params) | |
else: | |
cursor.execute(query) | |
conn.commit() | |
return cursor.fetchall() | |
def create_tables(): | |
with get_db_connection() as conn: | |
conn.executescript(SCHEMA_SQL) | |
logger.info("All RAG QA Chat tables created successfully") | |
# Initialize the database | |
create_tables() | |
# Input validation | |
def validate_keyword(keyword): | |
if not isinstance(keyword, str): | |
raise ValueError("Keyword must be a string") | |
if not keyword.strip(): | |
raise ValueError("Keyword cannot be empty or just whitespace") | |
if len(keyword) > 100: | |
raise ValueError("Keyword is too long (max 100 characters)") | |
if not re.match(r'^[a-zA-Z0-9\s\-_]+$', keyword): | |
raise ValueError("Keyword contains invalid characters") | |
return keyword.strip() | |
def validate_collection_name(name): | |
if not isinstance(name, str): | |
raise ValueError("Collection name must be a string") | |
if not name.strip(): | |
raise ValueError("Collection name cannot be empty or just whitespace") | |
if len(name) > 100: | |
raise ValueError("Collection name is too long (max 100 characters)") | |
if not re.match(r'^[a-zA-Z0-9\s\-_]+$', name): | |
raise ValueError("Collection name contains invalid characters") | |
return name.strip() | |
# Core functions | |
def add_keyword(keyword): | |
try: | |
validated_keyword = validate_keyword(keyword) | |
query = "INSERT OR IGNORE INTO rag_qa_keywords (keyword) VALUES (?)" | |
execute_query(query, (validated_keyword,)) | |
logger.info(f"Keyword '{validated_keyword}' added successfully") | |
except ValueError as e: | |
logger.error(f"Invalid keyword: {e}") | |
raise | |
except Exception as e: | |
logger.error(f"Error adding keyword '{keyword}': {e}") | |
raise | |
def create_keyword_collection(name, parent_id=None): | |
try: | |
validated_name = validate_collection_name(name) | |
query = "INSERT INTO rag_qa_keyword_collections (name, parent_id) VALUES (?, ?)" | |
execute_query(query, (validated_name, parent_id)) | |
logger.info(f"Keyword collection '{validated_name}' created successfully") | |
except ValueError as e: | |
logger.error(f"Invalid collection name: {e}") | |
raise | |
except Exception as e: | |
logger.error(f"Error creating keyword collection '{name}': {e}") | |
raise | |
def add_keyword_to_collection(collection_name, keyword): | |
try: | |
validated_collection_name = validate_collection_name(collection_name) | |
validated_keyword = validate_keyword(keyword) | |
with transaction() as conn: | |
add_keyword(validated_keyword) | |
query = ''' | |
INSERT INTO rag_qa_collection_keywords (collection_id, keyword_id) | |
SELECT c.id, k.id | |
FROM rag_qa_keyword_collections c, rag_qa_keywords k | |
WHERE c.name = ? AND k.keyword = ? | |
''' | |
execute_query(query, (validated_collection_name, validated_keyword), conn) | |
logger.info(f"Keyword '{validated_keyword}' added to collection '{validated_collection_name}' successfully") | |
except ValueError as e: | |
logger.error(f"Invalid input: {e}") | |
raise | |
except Exception as e: | |
logger.error(f"Error adding keyword '{keyword}' to collection '{collection_name}': {e}") | |
raise | |
def add_keywords_to_conversation(conversation_id, keywords): | |
if not isinstance(keywords, (list, tuple)): | |
raise ValueError("Keywords must be a list or tuple") | |
try: | |
with transaction() as conn: | |
for keyword in keywords: | |
validated_keyword = validate_keyword(keyword) | |
query = "INSERT OR IGNORE INTO rag_qa_keywords (keyword) VALUES (?)" | |
execute_query(query, (validated_keyword,), conn) | |
query = ''' | |
INSERT INTO rag_qa_conversation_keywords (conversation_id, keyword_id) | |
SELECT ?, id FROM rag_qa_keywords WHERE keyword = ? | |
''' | |
execute_query(query, (conversation_id, validated_keyword), conn) | |
logger.info(f"Keywords added to conversation '{conversation_id}' successfully") | |
except ValueError as e: | |
logger.error(f"Invalid keyword: {e}") | |
raise | |
except Exception as e: | |
logger.error(f"Error adding keywords to conversation '{conversation_id}': {e}") | |
raise | |
def get_keywords_for_conversation(conversation_id): | |
try: | |
query = ''' | |
SELECT k.keyword | |
FROM rag_qa_keywords k | |
JOIN rag_qa_conversation_keywords ck ON k.id = ck.keyword_id | |
WHERE ck.conversation_id = ? | |
''' | |
result = execute_query(query, (conversation_id,)) | |
keywords = [row[0] for row in result] | |
logger.info(f"Retrieved {len(keywords)} keywords for conversation '{conversation_id}'") | |
return keywords | |
except Exception as e: | |
logger.error(f"Error getting keywords for conversation '{conversation_id}': {e}") | |
raise | |
def get_keywords_for_collection(collection_name): | |
try: | |
query = ''' | |
SELECT k.keyword | |
FROM rag_qa_keywords k | |
JOIN rag_qa_collection_keywords ck ON k.id = ck.keyword_id | |
JOIN rag_qa_keyword_collections c ON ck.collection_id = c.id | |
WHERE c.name = ? | |
''' | |
result = execute_query(query, (collection_name,)) | |
keywords = [row[0] for row in result] | |
logger.info(f"Retrieved {len(keywords)} keywords for collection '{collection_name}'") | |
return keywords | |
except Exception as e: | |
logger.error(f"Error getting keywords for collection '{collection_name}': {e}") | |
raise | |
def save_notes(conversation_id, content): | |
"""Save notes to the database.""" | |
try: | |
query = "INSERT INTO rag_qa_notes (conversation_id, content, timestamp) VALUES (?, ?, ?)" | |
timestamp = datetime.now().isoformat() | |
execute_query(query, (conversation_id, content, timestamp)) | |
logger.info(f"Notes saved for conversation '{conversation_id}'") | |
except Exception as e: | |
logger.error(f"Error saving notes for conversation '{conversation_id}': {e}") | |
raise | |
def get_notes(conversation_id): | |
"""Retrieve notes for a given conversation.""" | |
try: | |
query = "SELECT content FROM rag_qa_notes WHERE conversation_id = ?" | |
result = execute_query(query, (conversation_id,)) | |
notes = [row[0] for row in result] | |
logger.info(f"Retrieved {len(notes)} notes for conversation '{conversation_id}'") | |
return notes | |
except Exception as e: | |
logger.error(f"Error getting notes for conversation '{conversation_id}': {e}") | |
raise | |
def clear_notes(conversation_id): | |
"""Clear all notes for a given conversation.""" | |
try: | |
query = "DELETE FROM rag_qa_notes WHERE conversation_id = ?" | |
execute_query(query, (conversation_id,)) | |
logger.info(f"Cleared notes for conversation '{conversation_id}'") | |
except Exception as e: | |
logger.error(f"Error clearing notes for conversation '{conversation_id}': {e}") | |
raise | |
def add_keywords_to_note(note_id, keywords): | |
"""Associate keywords with a note.""" | |
try: | |
with transaction() as conn: | |
for keyword in keywords: | |
validated_keyword = validate_keyword(keyword) | |
# Insert the keyword into the rag_qa_keywords table if it doesn't exist | |
query = "INSERT OR IGNORE INTO rag_qa_keywords (keyword) VALUES (?)" | |
execute_query(query, (validated_keyword,), conn) | |
# Retrieve the keyword ID | |
query = "SELECT id FROM rag_qa_keywords WHERE keyword = ?" | |
keyword_id = execute_query(query, (validated_keyword,), conn)[0][0] | |
# Link the note and keyword | |
query = "INSERT INTO rag_qa_note_keywords (note_id, keyword_id) VALUES (?, ?)" | |
execute_query(query, (note_id, keyword_id), conn) | |
logger.info(f"Keywords added to note ID '{note_id}' successfully") | |
except Exception as e: | |
logger.error(f"Error adding keywords to note ID '{note_id}': {e}") | |
raise | |
def get_keywords_for_note(note_id): | |
"""Retrieve keywords associated with a given note.""" | |
try: | |
query = ''' | |
SELECT k.keyword | |
FROM rag_qa_keywords k | |
JOIN rag_qa_note_keywords nk ON k.id = nk.keyword_id | |
WHERE nk.note_id = ? | |
''' | |
result = execute_query(query, (note_id,)) | |
keywords = [row[0] for row in result] | |
logger.info(f"Retrieved {len(keywords)} keywords for note ID '{note_id}'") | |
return keywords | |
except Exception as e: | |
logger.error(f"Error getting keywords for note ID '{note_id}': {e}") | |
raise | |
def clear_keywords_from_note(note_id): | |
"""Clear all keywords from a given note.""" | |
try: | |
query = "DELETE FROM rag_qa_note_keywords WHERE note_id = ?" | |
execute_query(query, (note_id,)) | |
logger.info(f"Cleared keywords for note ID '{note_id}'") | |
except Exception as e: | |
logger.error(f"Error clearing keywords for note ID '{note_id}': {e}") | |
raise | |
def save_message(conversation_id, role, content): | |
try: | |
query = "INSERT INTO rag_qa_chats (conversation_id, timestamp, role, content) VALUES (?, ?, ?, ?)" | |
timestamp = datetime.now().isoformat() | |
execute_query(query, (conversation_id, timestamp, role, content)) | |
logger.info(f"Message saved for conversation '{conversation_id}'") | |
except Exception as e: | |
logger.error(f"Error saving message for conversation '{conversation_id}': {e}") | |
raise | |
def start_new_conversation(title="Untitled Conversation"): | |
try: | |
conversation_id = datetime.now().isoformat() | |
query = "INSERT INTO conversation_metadata (conversation_id, created_at, last_updated, title) VALUES (?, ?, ?, ?)" | |
now = datetime.now() | |
execute_query(query, (conversation_id, now, now, title)) | |
logger.info(f"New conversation '{conversation_id}' started with title '{title}'") | |
return conversation_id | |
except Exception as e: | |
logger.error(f"Error starting new conversation: {e}") | |
raise | |
# Pagination helper function | |
def get_paginated_results(query, params=None, page=1, page_size=20): | |
try: | |
offset = (page - 1) * page_size | |
paginated_query = f"{query} LIMIT ? OFFSET ?" | |
if params: | |
params = tuple(params) + (page_size, offset) | |
else: | |
params = (page_size, offset) | |
result = execute_query(paginated_query, params) | |
count_query = f"SELECT COUNT(*) FROM ({query})" | |
total_count = execute_query(count_query, params[:-2] if params else None)[0][0] | |
total_pages = (total_count + page_size - 1) // page_size | |
logger.info(f"Retrieved page {page} of {total_pages} (total items: {total_count})") | |
return result, total_pages, total_count | |
except Exception as e: | |
logger.error(f"Error retrieving paginated results: {e}") | |
raise | |
def get_all_collections(page=1, page_size=20): | |
try: | |
query = "SELECT name FROM rag_qa_keyword_collections" | |
results, total_pages, total_count = get_paginated_results(query, page=page, page_size=page_size) | |
collections = [row[0] for row in results] | |
logger.info(f"Retrieved {len(collections)} keyword collections (page {page} of {total_pages})") | |
return collections, total_pages, total_count | |
except Exception as e: | |
logger.error(f"Error getting collections: {e}") | |
raise | |
def search_conversations_by_keywords(keywords, page=1, page_size=20): | |
try: | |
placeholders = ','.join(['?' for _ in keywords]) | |
query = f''' | |
SELECT DISTINCT cm.conversation_id, cm.title | |
FROM conversation_metadata cm | |
JOIN rag_qa_conversation_keywords ck ON cm.conversation_id = ck.conversation_id | |
JOIN rag_qa_keywords k ON ck.keyword_id = k.id | |
WHERE k.keyword IN ({placeholders}) | |
''' | |
results, total_pages, total_count = get_paginated_results(query, keywords, page, page_size) | |
logger.info( | |
f"Found {total_count} conversations matching keywords: {', '.join(keywords)} (page {page} of {total_pages})") | |
return results, total_pages, total_count | |
except Exception as e: | |
logger.error(f"Error searching conversations by keywords {keywords}: {e}") | |
raise | |
def load_chat_history(conversation_id, page=1, page_size=50): | |
try: | |
query = "SELECT role, content FROM rag_qa_chats WHERE conversation_id = ? ORDER BY timestamp" | |
results, total_pages, total_count = get_paginated_results(query, (conversation_id,), page, page_size) | |
history = [(msg[1] if msg[0] == 'human' else None, msg[1] if msg[0] == 'ai' else None) for msg in results] | |
logger.info( | |
f"Loaded {len(history)} messages for conversation '{conversation_id}' (page {page} of {total_pages})") | |
return history, total_pages, total_count | |
except Exception as e: | |
logger.error(f"Error loading chat history for conversation '{conversation_id}': {e}") | |
raise | |
# | |
# End of RAG_QA_Chat_DB.py | |
#################################################################################################### | |