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| # SQLite_DB.py | |
| ######################################### | |
| # SQLite_DB Library | |
| # This library is used to perform any/all DB operations related to SQLite. | |
| # | |
| #### | |
| #################### | |
| # Function List | |
| # FIXME - UPDATE Function Arguments | |
| # 1. get_connection(self) | |
| # 2. execute_query(self, query: str, params: Tuple = ()) | |
| # 3. create_tables() | |
| # 4. add_keyword(keyword: str) | |
| # 5. delete_keyword(keyword: str) | |
| # 6. add_media_with_keywords(url, title, media_type, content, keywords, prompt, summary, transcription_model, author, ingestion_date) | |
| # 7. fetch_all_keywords() | |
| # 8. keywords_browser_interface() | |
| # 9. display_keywords() | |
| # 10. export_keywords_to_csv() | |
| # 11. browse_items(search_query, search_type) | |
| # 12. fetch_item_details(media_id: int) | |
| # 13. add_media_version(media_id: int, prompt: str, summary: str) | |
| # 14. search_db(search_query: str, search_fields: List[str], keywords: str, page: int = 1, results_per_page: int = 10) | |
| # 15. search_and_display(search_query, search_fields, keywords, page) | |
| # 16. display_details(index, results) | |
| # 17. get_details(index, dataframe) | |
| # 18. format_results(results) | |
| # 19. export_to_csv(search_query: str, search_fields: List[str], keyword: str, page: int = 1, results_per_file: int = 1000) | |
| # 20. is_valid_url(url: str) -> bool | |
| # 21. is_valid_date(date_string: str) -> bool | |
| # 22. add_media_to_database(url, info_dict, segments, summary, keywords, custom_prompt_input, whisper_model) | |
| # 23. create_prompts_db() | |
| # 24. add_prompt(name, details, system, user=None) | |
| # 25. fetch_prompt_details(name) | |
| # 26. list_prompts() | |
| # 27. insert_prompt_to_db(title, description, system_prompt, user_prompt) | |
| # 28. update_media_content(media_id: int, content: str, prompt: str, summary: str) | |
| # 29. search_media_database(query: str) -> List[Tuple[int, str, str]] | |
| # 30. load_media_content(media_id: int) | |
| # 31. | |
| # 32. | |
| # | |
| # | |
| ##################### | |
| # | |
| # Import necessary libraries | |
| import csv | |
| import html | |
| import logging | |
| import os | |
| import re | |
| import shutil | |
| import sqlite3 | |
| import time | |
| import traceback | |
| from contextlib import contextmanager | |
| from datetime import datetime, timedelta | |
| from typing import List, Tuple, Dict, Any | |
| # Local Libraries | |
| #from App_Function_Libraries.ChromaDB_Library import auto_update_chroma_embeddings | |
| from App_Function_Libraries.Utils import is_valid_url | |
| # Third-Party Libraries | |
| import gradio as gr | |
| import pandas as pd | |
| import yaml | |
| # Import Local Libraries | |
| # | |
| ####################################################################################################################### | |
| # Function Definitions | |
| # | |
| # Set up logging | |
| #logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') | |
| #logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s') | |
| logger = logging.getLogger(__name__) | |
| # | |
| # Backup-related functions | |
| def create_incremental_backup(db_path, backup_dir): | |
| conn = sqlite3.connect(db_path) | |
| cursor = conn.cursor() | |
| # Get the page count of the database | |
| cursor.execute("PRAGMA page_count") | |
| page_count = cursor.fetchone()[0] | |
| # Create a new backup file | |
| timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") | |
| backup_file = os.path.join(backup_dir, f"incremental_backup_{timestamp}.sqlib") | |
| # Perform the incremental backup | |
| conn.execute(f"VACUUM INTO '{backup_file}'") | |
| conn.close() | |
| print(f"Incremental backup created: {backup_file}") | |
| return backup_file | |
| def create_automated_backup(db_path, backup_dir): | |
| # Ensure backup directory exists | |
| os.makedirs(backup_dir, exist_ok=True) | |
| # Create a timestamped backup file name | |
| timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") | |
| backup_file = os.path.join(backup_dir, f"backup_{timestamp}.db") | |
| # Copy the database file | |
| shutil.copy2(db_path, backup_file) | |
| print(f"Backup created: {backup_file}") | |
| return backup_file | |
| # FIXME - boto3 aint getting installed by default.... | |
| # def upload_to_s3(file_path, bucket_name, s3_key): | |
| # import boto3 | |
| # s3 = boto3.client('s3') | |
| # try: | |
| # s3.upload_file(file_path, bucket_name, s3_key) | |
| # print(f"File uploaded to S3: {s3_key}") | |
| # except Exception as e: | |
| # print(f"Error uploading to S3: {str(e)}") | |
| def rotate_backups(backup_dir, max_backups=10): | |
| backups = sorted( | |
| [f for f in os.listdir(backup_dir) if f.endswith('.db')], | |
| key=lambda x: os.path.getmtime(os.path.join(backup_dir, x)), | |
| reverse=True | |
| ) | |
| while len(backups) > max_backups: | |
| old_backup = backups.pop() | |
| os.remove(os.path.join(backup_dir, old_backup)) | |
| print(f"Removed old backup: {old_backup}") | |
| # FIXME - Setup properly and test/add documentation for its existence... | |
| db_path = "path/to/your/database.db" | |
| backup_dir = "path/to/backup/directory" | |
| #create_automated_backup(db_path, backup_dir) | |
| # FIXME - Setup properly and test/add documentation for its existence... | |
| #backup_file = create_automated_backup(db_path, backup_dir) | |
| #upload_to_s3(backup_file, 'your-s3-bucket-name', f"database_backups/{os.path.basename(backup_file)}") | |
| # FIXME - Setup properly and test/add documentation for its existence... | |
| #create_incremental_backup(db_path, backup_dir) | |
| # FIXME - Setup properly and test/add documentation for its existence... | |
| #rotate_backups(backup_dir) | |
| # | |
| # | |
| ####################################################################################################################### | |
| # | |
| # DB-Integrity Check Functions | |
| def check_database_integrity(db_path): | |
| conn = sqlite3.connect(db_path) | |
| cursor = conn.cursor() | |
| cursor.execute("PRAGMA integrity_check") | |
| result = cursor.fetchone() | |
| conn.close() | |
| if result[0] == "ok": | |
| print("Database integrity check passed.") | |
| return True | |
| else: | |
| print("Database integrity check failed:", result[0]) | |
| return False | |
| #check_database_integrity(db_path) | |
| # | |
| # End of DB-Integrity Check functions | |
| ####################################################################################################################### | |
| # | |
| # Media-related Functions | |
| # Custom exceptions | |
| class DatabaseError(Exception): | |
| pass | |
| class InputError(Exception): | |
| pass | |
| # Database connection function with connection pooling | |
| class Database: | |
| def __init__(self, db_name=None): | |
| self.db_name = db_name or os.getenv('DB_NAME', 'media_summary.db') | |
| self.pool = [] | |
| self.pool_size = 10 | |
| def get_connection(self): | |
| retry_count = 5 | |
| retry_delay = 1 | |
| conn = None | |
| while retry_count > 0: | |
| try: | |
| conn = self.pool.pop() if self.pool else sqlite3.connect(self.db_name, check_same_thread=False) | |
| yield conn | |
| self.pool.append(conn) | |
| return | |
| except sqlite3.OperationalError as e: | |
| if 'database is locked' in str(e): | |
| logging.warning(f"Database is locked, retrying in {retry_delay} seconds...") | |
| retry_count -= 1 | |
| time.sleep(retry_delay) | |
| else: | |
| raise DatabaseError(f"Database error: {e}") | |
| except Exception as e: | |
| raise DatabaseError(f"Unexpected error: {e}") | |
| finally: | |
| # Ensure the connection is returned to the pool even on failure | |
| if conn: | |
| self.pool.append(conn) | |
| raise DatabaseError("Database is locked and retries have been exhausted") | |
| def execute_query(self, query: str, params: Tuple = ()) -> None: | |
| with self.get_connection() as conn: | |
| try: | |
| cursor = conn.cursor() | |
| cursor.execute(query, params) | |
| conn.commit() | |
| except sqlite3.Error as e: | |
| raise DatabaseError(f"Database error: {e}, Query: {query}") | |
| db = Database() | |
| def instantiate_SQLite_db(): | |
| global sqlite_db | |
| sqlite_db = Database() | |
| # Function to create tables with the new media schema | |
| def create_tables(db) -> None: | |
| table_queries = [ | |
| # CREATE TABLE statements | |
| ''' | |
| CREATE TABLE IF NOT EXISTS Media ( | |
| id INTEGER PRIMARY KEY AUTOINCREMENT, | |
| url TEXT, | |
| title TEXT NOT NULL, | |
| type TEXT NOT NULL, | |
| content TEXT, | |
| author TEXT, | |
| ingestion_date TEXT, | |
| prompt TEXT, | |
| summary TEXT, | |
| transcription_model TEXT, | |
| is_trash BOOLEAN DEFAULT 0, | |
| trash_date DATETIME, | |
| vector_embedding BLOB | |
| ) | |
| ''', | |
| ''' | |
| CREATE TABLE IF NOT EXISTS Keywords ( | |
| id INTEGER PRIMARY KEY AUTOINCREMENT, | |
| keyword TEXT NOT NULL UNIQUE | |
| ) | |
| ''', | |
| ''' | |
| CREATE TABLE IF NOT EXISTS MediaKeywords ( | |
| id INTEGER PRIMARY KEY AUTOINCREMENT, | |
| media_id INTEGER NOT NULL, | |
| keyword_id INTEGER NOT NULL, | |
| FOREIGN KEY (media_id) REFERENCES Media(id), | |
| FOREIGN KEY (keyword_id) REFERENCES Keywords(id) | |
| ) | |
| ''', | |
| ''' | |
| CREATE TABLE IF NOT EXISTS MediaVersion ( | |
| id INTEGER PRIMARY KEY AUTOINCREMENT, | |
| media_id INTEGER NOT NULL, | |
| version INTEGER NOT NULL, | |
| prompt TEXT, | |
| summary TEXT, | |
| created_at TEXT NOT NULL, | |
| FOREIGN KEY (media_id) REFERENCES Media(id) | |
| ) | |
| ''', | |
| ''' | |
| CREATE TABLE IF NOT EXISTS MediaModifications ( | |
| id INTEGER PRIMARY KEY AUTOINCREMENT, | |
| media_id INTEGER NOT NULL, | |
| prompt TEXT, | |
| summary TEXT, | |
| modification_date TEXT, | |
| FOREIGN KEY (media_id) REFERENCES Media(id) | |
| ) | |
| ''', | |
| ''' | |
| CREATE TABLE IF NOT EXISTS ChatConversations ( | |
| id INTEGER PRIMARY KEY AUTOINCREMENT, | |
| media_id INTEGER, | |
| media_name TEXT, | |
| conversation_name TEXT, | |
| created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, | |
| updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, | |
| FOREIGN KEY (media_id) REFERENCES Media(id) | |
| ) | |
| ''', | |
| ''' | |
| CREATE TABLE IF NOT EXISTS ChatMessages ( | |
| id INTEGER PRIMARY KEY AUTOINCREMENT, | |
| conversation_id INTEGER, | |
| sender TEXT, | |
| message TEXT, | |
| timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP, | |
| FOREIGN KEY (conversation_id) REFERENCES ChatConversations(id) | |
| ) | |
| ''', | |
| ''' | |
| CREATE TABLE IF NOT EXISTS Transcripts ( | |
| id INTEGER PRIMARY KEY AUTOINCREMENT, | |
| media_id INTEGER, | |
| whisper_model TEXT, | |
| transcription TEXT, | |
| created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, | |
| FOREIGN KEY (media_id) REFERENCES Media(id) | |
| ) | |
| ''', | |
| ''' | |
| CREATE TABLE IF NOT EXISTS MediaChunks ( | |
| id INTEGER PRIMARY KEY AUTOINCREMENT, | |
| media_id INTEGER, | |
| chunk_text TEXT, | |
| start_index INTEGER, | |
| end_index INTEGER, | |
| vector_embedding BLOB, | |
| FOREIGN KEY (media_id) REFERENCES Media(id) | |
| ) | |
| ''', | |
| ''' | |
| CREATE TABLE IF NOT EXISTS UnvectorizedMediaChunks ( | |
| id INTEGER PRIMARY KEY AUTOINCREMENT, | |
| media_id INTEGER NOT NULL, | |
| chunk_text TEXT NOT NULL, | |
| chunk_index INTEGER NOT NULL, | |
| start_char INTEGER NOT NULL, | |
| end_char INTEGER NOT NULL, | |
| chunk_type TEXT, | |
| creation_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP, | |
| last_modified TIMESTAMP DEFAULT CURRENT_TIMESTAMP, | |
| is_processed BOOLEAN DEFAULT FALSE, | |
| metadata TEXT, | |
| FOREIGN KEY (media_id) REFERENCES Media(id) | |
| ) | |
| ''' | |
| ] | |
| index_queries = [ | |
| # CREATE INDEX statements | |
| 'CREATE INDEX IF NOT EXISTS idx_media_title ON Media(title)', | |
| 'CREATE INDEX IF NOT EXISTS idx_media_type ON Media(type)', | |
| 'CREATE INDEX IF NOT EXISTS idx_media_author ON Media(author)', | |
| 'CREATE INDEX IF NOT EXISTS idx_media_ingestion_date ON Media(ingestion_date)', | |
| 'CREATE INDEX IF NOT EXISTS idx_keywords_keyword ON Keywords(keyword)', | |
| 'CREATE INDEX IF NOT EXISTS idx_mediakeywords_media_id ON MediaKeywords(media_id)', | |
| 'CREATE INDEX IF NOT EXISTS idx_mediakeywords_keyword_id ON MediaKeywords(keyword_id)', | |
| 'CREATE INDEX IF NOT EXISTS idx_media_version_media_id ON MediaVersion(media_id)', | |
| 'CREATE INDEX IF NOT EXISTS idx_mediamodifications_media_id ON MediaModifications(media_id)', | |
| 'CREATE INDEX IF NOT EXISTS idx_chatconversations_media_id ON ChatConversations(media_id)', | |
| 'CREATE INDEX IF NOT EXISTS idx_chatmessages_conversation_id ON ChatMessages(conversation_id)', | |
| 'CREATE INDEX IF NOT EXISTS idx_media_is_trash ON Media(is_trash)', | |
| 'CREATE INDEX IF NOT EXISTS idx_mediachunks_media_id ON MediaChunks(media_id)', | |
| 'CREATE INDEX IF NOT EXISTS idx_unvectorized_media_chunks_media_id ON UnvectorizedMediaChunks(media_id)', | |
| 'CREATE INDEX IF NOT EXISTS idx_unvectorized_media_chunks_is_processed ON UnvectorizedMediaChunks(is_processed)', | |
| 'CREATE INDEX IF NOT EXISTS idx_unvectorized_media_chunks_chunk_type ON UnvectorizedMediaChunks(chunk_type)', | |
| # CREATE UNIQUE INDEX statements | |
| 'CREATE UNIQUE INDEX IF NOT EXISTS idx_unique_media_url ON Media(url)', | |
| 'CREATE UNIQUE INDEX IF NOT EXISTS idx_unique_media_keyword ON MediaKeywords(media_id, keyword_id)' | |
| ] | |
| virtual_table_queries = [ | |
| # CREATE VIRTUAL TABLE statements | |
| 'CREATE VIRTUAL TABLE IF NOT EXISTS media_fts USING fts5(title, content)', | |
| 'CREATE VIRTUAL TABLE IF NOT EXISTS keyword_fts USING fts5(keyword)' | |
| ] | |
| all_queries = table_queries + index_queries + virtual_table_queries | |
| for query in all_queries: | |
| try: | |
| db.execute_query(query) | |
| except Exception as e: | |
| logging.error(f"Error executing query: {query}") | |
| logging.error(f"Error details: {str(e)}") | |
| raise | |
| logging.info("All tables, indexes, and virtual tables created successfully.") | |
| create_tables(db) | |
| def check_media_exists(title, url): | |
| """Check if media with the given title or URL exists in the database.""" | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute("SELECT id FROM Media WHERE title = ? OR url = ?", (title, url)) | |
| result = cursor.fetchone() | |
| return result is not None | |
| def check_media_and_whisper_model(title=None, url=None, current_whisper_model=None): | |
| """ | |
| Check if media exists in the database and compare the whisper model used. | |
| :param title: Title of the media (optional) | |
| :param url: URL of the media (optional) | |
| :param current_whisper_model: The whisper model currently selected for use | |
| :return: Tuple (bool, str) - (should_download, reason) | |
| """ | |
| if not title and not url: | |
| return True, "No title or URL provided" | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| # First, find the media_id | |
| query = "SELECT id FROM Media WHERE " | |
| params = [] | |
| if title: | |
| query += "title = ?" | |
| params.append(title) | |
| if url: | |
| if params: | |
| query += " OR " | |
| query += "url = ?" | |
| params.append(url) | |
| cursor.execute(query, tuple(params)) | |
| result = cursor.fetchone() | |
| if not result: | |
| return True, "Media not found in database" | |
| media_id = result[0] | |
| # Now, get the latest transcript for this media | |
| cursor.execute(""" | |
| SELECT transcription | |
| FROM Transcripts | |
| WHERE media_id = ? | |
| ORDER BY created_at DESC | |
| LIMIT 1 | |
| """, (media_id,)) | |
| transcript_result = cursor.fetchone() | |
| if not transcript_result: | |
| return True, f"No transcript found for media (ID: {media_id})" | |
| transcription = transcript_result[0] | |
| # Extract the whisper model from the transcription | |
| match = re.search(r"This text was transcribed using whisper model: (.+)$", transcription, re.MULTILINE) | |
| if not match: | |
| return True, f"Whisper model information not found in transcript (Media ID: {media_id})" | |
| db_whisper_model = match.group(1).strip() | |
| if not current_whisper_model: | |
| return False, f"Media found in database (ID: {media_id})" | |
| if db_whisper_model != current_whisper_model: | |
| return True, f"Different whisper model (DB: {db_whisper_model}, Current: {current_whisper_model})" | |
| return False, f"Media found with same whisper model (ID: {media_id})" | |
| ####################################################################################################################### | |
| # Keyword-related Functions | |
| # | |
| # Function to add a keyword | |
| def add_keyword(keyword: str) -> int: | |
| keyword = keyword.strip().lower() | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| try: | |
| cursor.execute('INSERT OR IGNORE INTO Keywords (keyword) VALUES (?)', (keyword,)) | |
| cursor.execute('SELECT id FROM Keywords WHERE keyword = ?', (keyword,)) | |
| keyword_id = cursor.fetchone()[0] | |
| cursor.execute('INSERT OR IGNORE INTO keyword_fts (rowid, keyword) VALUES (?, ?)', (keyword_id, keyword)) | |
| logging.info(f"Keyword '{keyword}' added to keyword_fts with ID: {keyword_id}") | |
| conn.commit() | |
| return keyword_id | |
| except sqlite3.IntegrityError as e: | |
| logging.error(f"Integrity error adding keyword: {e}") | |
| raise DatabaseError(f"Integrity error adding keyword: {e}") | |
| except sqlite3.Error as e: | |
| logging.error(f"Error adding keyword: {e}") | |
| raise DatabaseError(f"Error adding keyword: {e}") | |
| # Function to delete a keyword | |
| def delete_keyword(keyword: str) -> str: | |
| keyword = keyword.strip().lower() | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| try: | |
| cursor.execute('SELECT id FROM Keywords WHERE keyword = ?', (keyword,)) | |
| keyword_id = cursor.fetchone() | |
| if keyword_id: | |
| cursor.execute('DELETE FROM Keywords WHERE keyword = ?', (keyword,)) | |
| cursor.execute('DELETE FROM keyword_fts WHERE rowid = ?', (keyword_id[0],)) | |
| conn.commit() | |
| return f"Keyword '{keyword}' deleted successfully." | |
| else: | |
| return f"Keyword '{keyword}' not found." | |
| except sqlite3.Error as e: | |
| raise DatabaseError(f"Error deleting keyword: {e}") | |
| # Function to add media with keywords | |
| def add_media_with_keywords(url, title, media_type, content, keywords, prompt, summary, transcription_model, author, | |
| ingestion_date): | |
| # Set default values for missing fields | |
| url = url or 'Unknown' | |
| title = title or 'Untitled' | |
| media_type = media_type or 'Unknown' | |
| content = content or 'No content available' | |
| keywords = keywords or 'default' | |
| prompt = prompt or 'No prompt available' | |
| summary = summary or 'No summary available' | |
| transcription_model = transcription_model or 'Unknown' | |
| author = author or 'Unknown' | |
| ingestion_date = ingestion_date or datetime.now().strftime('%Y-%m-%d') | |
| # Ensure URL is valid | |
| if not is_valid_url(url): | |
| url = 'localhost' | |
| if media_type not in ['article', 'audio', 'document', 'obsidian_note', 'podcast', 'text', 'video', 'unknown']: | |
| raise InputError("Invalid media type. Allowed types: article, audio file, document, obsidian_note podcast, text, video, unknown.") | |
| if ingestion_date and not is_valid_date(ingestion_date): | |
| raise InputError("Invalid ingestion date format. Use YYYY-MM-DD.") | |
| # Handle keywords as either string or list | |
| if isinstance(keywords, str): | |
| keyword_list = [keyword.strip().lower() for keyword in keywords.split(',')] | |
| elif isinstance(keywords, list): | |
| keyword_list = [keyword.strip().lower() for keyword in keywords] | |
| else: | |
| keyword_list = ['default'] | |
| logging.info(f"Adding/updating media: URL={url}, Title={title}, Type={media_type}") | |
| logging.debug(f"Content (first 500 chars): {content[:500]}...") | |
| logging.debug(f"Keywords: {keyword_list}") | |
| logging.info(f"Prompt: {prompt}") | |
| logging.info(f"Summary: {summary}") | |
| logging.info(f"Author: {author}") | |
| logging.info(f"Ingestion Date: {ingestion_date}") | |
| logging.info(f"Transcription Model: {transcription_model}") | |
| try: | |
| with db.get_connection() as conn: | |
| conn.execute("BEGIN TRANSACTION") | |
| cursor = conn.cursor() | |
| # Check if media already exists | |
| cursor.execute('SELECT id FROM Media WHERE url = ?', (url,)) | |
| existing_media = cursor.fetchone() | |
| if existing_media: | |
| media_id = existing_media[0] | |
| logging.info(f"Updating existing media with ID: {media_id}") | |
| cursor.execute(''' | |
| UPDATE Media | |
| SET content = ?, transcription_model = ?, title = ?, type = ?, author = ?, ingestion_date = ? | |
| WHERE id = ? | |
| ''', (content, transcription_model, title, media_type, author, ingestion_date, media_id)) | |
| else: | |
| logging.info("Creating new media entry") | |
| cursor.execute(''' | |
| INSERT INTO Media (url, title, type, content, author, ingestion_date, transcription_model) | |
| VALUES (?, ?, ?, ?, ?, ?, ?) | |
| ''', (url, title, media_type, content, author, ingestion_date, transcription_model)) | |
| media_id = cursor.lastrowid | |
| logging.info(f"Adding new modification to MediaModifications for media ID: {media_id}") | |
| cursor.execute(''' | |
| INSERT INTO MediaModifications (media_id, prompt, summary, modification_date) | |
| VALUES (?, ?, ?, ?) | |
| ''', (media_id, prompt, summary, ingestion_date)) | |
| logger.info("New modification added to MediaModifications") | |
| # Insert keywords and associate with media item | |
| logging.info("Processing keywords") | |
| for keyword in keyword_list: | |
| keyword = keyword.strip().lower() | |
| cursor.execute('INSERT OR IGNORE INTO Keywords (keyword) VALUES (?)', (keyword,)) | |
| cursor.execute('SELECT id FROM Keywords WHERE keyword = ?', (keyword,)) | |
| keyword_id = cursor.fetchone()[0] | |
| cursor.execute('INSERT OR IGNORE INTO MediaKeywords (media_id, keyword_id) VALUES (?, ?)', | |
| (media_id, keyword_id)) | |
| # Update full-text search index | |
| logging.info("Updating full-text search index") | |
| cursor.execute('INSERT OR REPLACE INTO media_fts (rowid, title, content) VALUES (?, ?, ?)', | |
| (media_id, title, content)) | |
| logging.info("Adding new media version") | |
| add_media_version(media_id, prompt, summary) | |
| conn.commit() | |
| logging.info(f"Media '{title}' successfully added/updated with ID: {media_id}") | |
| return f"Media '{title}' added/updated successfully with keywords: {', '.join(keyword_list)}" | |
| except sqlite3.Error as e: | |
| conn.rollback() | |
| logging.error(f"SQL Error: {e}") | |
| raise DatabaseError(f"Error adding media with keywords: {e}") | |
| except Exception as e: | |
| conn.rollback() | |
| logging.error(f"Unexpected Error: {e}") | |
| raise DatabaseError(f"Unexpected error: {e}") | |
| def ingest_article_to_db(url, title, author, content, keywords, summary, ingestion_date, custom_prompt): | |
| try: | |
| # Check if content is not empty or whitespace | |
| if not content.strip(): | |
| raise ValueError("Content is empty.") | |
| keyword_list = keywords.split(',') if keywords else ["default"] | |
| keyword_str = ', '.join(keyword_list) | |
| # Set default values for missing fields | |
| url = url or 'Unknown' | |
| title = title or 'Unknown' | |
| author = author or 'Unknown' | |
| keywords = keywords or 'default' | |
| summary = summary or 'No summary available' | |
| ingestion_date = ingestion_date or datetime.now().strftime('%Y-%m-%d') | |
| # Log the values of all fields before calling add_media_with_keywords | |
| logging.debug(f"URL: {url}") | |
| logging.debug(f"Title: {title}") | |
| logging.debug(f"Author: {author}") | |
| logging.debug(f"Content: {content[:50]}... (length: {len(content)})") # Log first 50 characters of content | |
| logging.debug(f"Keywords: {keywords}") | |
| logging.debug(f"Summary: {summary}") | |
| logging.debug(f"Ingestion Date: {ingestion_date}") | |
| logging.debug(f"Custom Prompt: {custom_prompt}") | |
| # Check if any required field is empty and log the specific missing field | |
| if not url: | |
| logging.error("URL is missing.") | |
| raise ValueError("URL is missing.") | |
| if not title: | |
| logging.error("Title is missing.") | |
| raise ValueError("Title is missing.") | |
| if not content: | |
| logging.error("Content is missing.") | |
| raise ValueError("Content is missing.") | |
| if not keywords: | |
| logging.error("Keywords are missing.") | |
| raise ValueError("Keywords are missing.") | |
| if not summary: | |
| logging.error("Summary is missing.") | |
| raise ValueError("Summary is missing.") | |
| if not ingestion_date: | |
| logging.error("Ingestion date is missing.") | |
| raise ValueError("Ingestion date is missing.") | |
| if not custom_prompt: | |
| logging.error("Custom prompt is missing.") | |
| raise ValueError("Custom prompt is missing.") | |
| # Add media with keywords to the database | |
| result = add_media_with_keywords( | |
| url=url, | |
| title=title, | |
| media_type='article', | |
| content=content, | |
| keywords=keyword_str or "article_default", | |
| prompt=custom_prompt or None, | |
| summary=summary or "No summary generated", | |
| transcription_model=None, # or some default value if applicable | |
| author=author or 'Unknown', | |
| ingestion_date=ingestion_date | |
| ) | |
| return result | |
| except Exception as e: | |
| logging.error(f"Failed to ingest article to the database: {e}") | |
| return str(e) | |
| def fetch_all_keywords() -> List[str]: | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute('SELECT keyword FROM Keywords') | |
| keywords = [row[0] for row in cursor.fetchall()] | |
| return keywords | |
| except sqlite3.Error as e: | |
| raise DatabaseError(f"Error fetching keywords: {e}") | |
| def keywords_browser_interface(): | |
| keywords = fetch_all_keywords() | |
| return gr.Markdown("\n".join(f"- {keyword}" for keyword in keywords)) | |
| def display_keywords(): | |
| try: | |
| keywords = fetch_all_keywords() | |
| return "\n".join(keywords) if keywords else "No keywords found." | |
| except DatabaseError as e: | |
| return str(e) | |
| def export_keywords_to_csv(): | |
| try: | |
| keywords = fetch_all_keywords() | |
| if not keywords: | |
| return None, "No keywords found in the database." | |
| filename = "keywords.csv" | |
| with open(filename, 'w', newline='', encoding='utf-8') as file: | |
| writer = csv.writer(file) | |
| writer.writerow(["Keyword"]) | |
| for keyword in keywords: | |
| writer.writerow([keyword]) | |
| return filename, f"Keywords exported to {filename}" | |
| except Exception as e: | |
| logger.error(f"Error exporting keywords to CSV: {e}") | |
| return None, f"Error exporting keywords: {e}" | |
| # Function to fetch items based on search query and type | |
| def browse_items(search_query, search_type): | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| if search_type == 'Title': | |
| cursor.execute("SELECT id, title, url FROM Media WHERE title LIKE ?", (f'%{search_query}%',)) | |
| elif search_type == 'URL': | |
| cursor.execute("SELECT id, title, url FROM Media WHERE url LIKE ?", (f'%{search_query}%',)) | |
| elif search_type == 'Keyword': | |
| return fetch_items_by_keyword(search_query) | |
| elif search_type == 'Content': | |
| cursor.execute("SELECT id, title, url FROM Media WHERE content LIKE ?", (f'%{search_query}%',)) | |
| else: | |
| raise ValueError(f"Invalid search type: {search_type}") | |
| results = cursor.fetchall() | |
| return results | |
| except sqlite3.Error as e: | |
| logger.error(f"Error fetching items by {search_type}: {e}") | |
| raise DatabaseError(f"Error fetching items by {search_type}: {e}") | |
| # Function to fetch item details | |
| def fetch_item_details(media_id: int): | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(""" | |
| SELECT prompt, summary | |
| FROM MediaModifications | |
| WHERE media_id = ? | |
| ORDER BY modification_date DESC | |
| LIMIT 1 | |
| """, (media_id,)) | |
| prompt_summary_result = cursor.fetchone() | |
| cursor.execute("SELECT content FROM Media WHERE id = ?", (media_id,)) | |
| content_result = cursor.fetchone() | |
| prompt = prompt_summary_result[0] if prompt_summary_result else "" | |
| summary = prompt_summary_result[1] if prompt_summary_result else "" | |
| content = content_result[0] if content_result else "" | |
| return content, prompt, summary | |
| except sqlite3.Error as e: | |
| logging.error(f"Error fetching item details: {e}") | |
| # Return empty strings if there's an error | |
| return "", "", "" | |
| # | |
| # | |
| ####################################################################################################################### | |
| # | |
| # Media-related Functions | |
| # Function to add a version of a prompt and summary | |
| def add_media_version(media_id: int, prompt: str, summary: str) -> None: | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| # Get the current version number | |
| cursor.execute('SELECT MAX(version) FROM MediaVersion WHERE media_id = ?', (media_id,)) | |
| current_version = cursor.fetchone()[0] or 0 | |
| # Insert the new version | |
| cursor.execute(''' | |
| INSERT INTO MediaVersion (media_id, version, prompt, summary, created_at) | |
| VALUES (?, ?, ?, ?, ?) | |
| ''', (media_id, current_version + 1, prompt, summary, datetime.now().strftime('%Y-%m-%d %H:%M:%S'))) | |
| conn.commit() | |
| except sqlite3.Error as e: | |
| raise DatabaseError(f"Error adding media version: {e}") | |
| # Function to search the database with advanced options, including keyword search and full-text search | |
| def search_db(search_query: str, search_fields: List[str], keywords: str, page: int = 1, results_per_page: int = 10): | |
| if page < 1: | |
| raise ValueError("Page number must be 1 or greater.") | |
| # Prepare keywords by splitting and trimming | |
| keywords = [keyword.strip().lower() for keyword in keywords.split(',') if keyword.strip()] | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| offset = (page - 1) * results_per_page | |
| # Prepare the search conditions for general fields | |
| search_conditions = [] | |
| params = [] | |
| for field in search_fields: | |
| if search_query: # Ensure there's a search query before adding this condition | |
| search_conditions.append(f"Media.{field} LIKE ?") | |
| params.append(f'%{search_query}%') | |
| # Prepare the conditions for keywords filtering | |
| keyword_conditions = [] | |
| for keyword in keywords: | |
| keyword_conditions.append( | |
| f"EXISTS (SELECT 1 FROM MediaKeywords mk JOIN Keywords k ON mk.keyword_id = k.id WHERE mk.media_id = Media.id AND k.keyword LIKE ?)") | |
| params.append(f'%{keyword}%') | |
| # Combine all conditions | |
| where_clause = " AND ".join( | |
| search_conditions + keyword_conditions) if search_conditions or keyword_conditions else "1=1" | |
| # Complete the query | |
| query = f''' | |
| SELECT DISTINCT Media.id, Media.url, Media.title, Media.type, Media.content, Media.author, Media.ingestion_date, | |
| MediaModifications.prompt, MediaModifications.summary | |
| FROM Media | |
| LEFT JOIN MediaModifications ON Media.id = MediaModifications.media_id | |
| WHERE {where_clause} | |
| ORDER BY Media.ingestion_date DESC | |
| LIMIT ? OFFSET ? | |
| ''' | |
| params.extend([results_per_page, offset]) | |
| cursor.execute(query, params) | |
| results = cursor.fetchall() | |
| return results | |
| # Gradio function to handle user input and display results with pagination, with better feedback | |
| def search_and_display(search_query, search_fields, keywords, page): | |
| results = search_db(search_query, search_fields, keywords, page) | |
| if isinstance(results, pd.DataFrame): | |
| # Convert DataFrame to a list of tuples or lists | |
| processed_results = results.values.tolist() # This converts DataFrame rows to lists | |
| elif isinstance(results, list): | |
| # Ensure that each element in the list is itself a list or tuple (not a dictionary) | |
| processed_results = [list(item.values()) if isinstance(item, dict) else item for item in results] | |
| else: | |
| raise TypeError("Unsupported data type for results") | |
| return processed_results | |
| def display_details(index, results): | |
| if index is None or results is None: | |
| return "Please select a result to view details." | |
| try: | |
| # Ensure the index is an integer and access the row properly | |
| index = int(index) | |
| if isinstance(results, pd.DataFrame): | |
| if index >= len(results): | |
| return "Index out of range. Please select a valid index." | |
| selected_row = results.iloc[index] | |
| else: | |
| # If results is not a DataFrame, but a list (assuming list of dicts) | |
| selected_row = results[index] | |
| except ValueError: | |
| return "Index must be an integer." | |
| except IndexError: | |
| return "Index out of range. Please select a valid index." | |
| # Build HTML output safely | |
| details_html = f""" | |
| <h3>{selected_row.get('Title', 'No Title')}</h3> | |
| <p><strong>URL:</strong> {selected_row.get('URL', 'No URL')}</p> | |
| <p><strong>Type:</strong> {selected_row.get('Type', 'No Type')}</p> | |
| <p><strong>Author:</strong> {selected_row.get('Author', 'No Author')}</p> | |
| <p><strong>Ingestion Date:</strong> {selected_row.get('Ingestion Date', 'No Date')}</p> | |
| <p><strong>Prompt:</strong> {selected_row.get('Prompt', 'No Prompt')}</p> | |
| <p><strong>Summary:</strong> {selected_row.get('Summary', 'No Summary')}</p> | |
| <p><strong>Content:</strong> {selected_row.get('Content', 'No Content')}</p> | |
| """ | |
| return details_html | |
| def get_details(index, dataframe): | |
| if index is None or dataframe is None or index >= len(dataframe): | |
| return "Please select a result to view details." | |
| row = dataframe.iloc[index] | |
| details = f""" | |
| <h3>{row['Title']}</h3> | |
| <p><strong>URL:</strong> {row['URL']}</p> | |
| <p><strong>Type:</strong> {row['Type']}</p> | |
| <p><strong>Author:</strong> {row['Author']}</p> | |
| <p><strong>Ingestion Date:</strong> {row['Ingestion Date']}</p> | |
| <p><strong>Prompt:</strong> {row['Prompt']}</p> | |
| <p><strong>Summary:</strong> {row['Summary']}</p> | |
| <p><strong>Content:</strong></p> | |
| <pre>{row['Content']}</pre> | |
| """ | |
| return details | |
| def format_results(results): | |
| if not results: | |
| return pd.DataFrame(columns=['URL', 'Title', 'Type', 'Content', 'Author', 'Ingestion Date', 'Prompt', 'Summary']) | |
| df = pd.DataFrame(results, columns=['URL', 'Title', 'Type', 'Content', 'Author', 'Ingestion Date', 'Prompt', 'Summary']) | |
| logging.debug(f"Formatted DataFrame: {df}") | |
| return df | |
| # Function to export search results to CSV or markdown with pagination | |
| def export_to_file(search_query: str, search_fields: List[str], keyword: str, page: int = 1, results_per_file: int = 1000, export_format: str = 'csv'): | |
| try: | |
| results = search_db(search_query, search_fields, keyword, page, results_per_file) | |
| if not results: | |
| return "No results found to export." | |
| # Create an 'exports' directory if it doesn't exist | |
| if not os.path.exists('exports'): | |
| os.makedirs('exports') | |
| if export_format == 'csv': | |
| filename = f'exports/search_results_page_{page}.csv' | |
| with open(filename, 'w', newline='', encoding='utf-8') as file: | |
| writer = csv.writer(file) | |
| writer.writerow(['URL', 'Title', 'Type', 'Content', 'Author', 'Ingestion Date', 'Prompt', 'Summary']) | |
| for row in results: | |
| writer.writerow(row) | |
| elif export_format == 'markdown': | |
| filename = f'exports/search_results_page_{page}.md' | |
| with open(filename, 'w', encoding='utf-8') as file: | |
| for item in results: | |
| markdown_content = convert_to_markdown({ | |
| 'title': item[1], | |
| 'url': item[0], | |
| 'type': item[2], | |
| 'content': item[3], | |
| 'author': item[4], | |
| 'ingestion_date': item[5], | |
| 'summary': item[7], | |
| 'keywords': item[8].split(',') if item[8] else [] | |
| }) | |
| file.write(markdown_content) | |
| file.write("\n---\n\n") # Separator between items | |
| else: | |
| return f"Unsupported export format: {export_format}" | |
| return f"Results exported to {filename}" | |
| except (DatabaseError, InputError) as e: | |
| return str(e) | |
| # Helper function to validate date format | |
| def is_valid_date(date_string: str) -> bool: | |
| try: | |
| datetime.strptime(date_string, '%Y-%m-%d') | |
| return True | |
| except ValueError: | |
| return False | |
| # Add ingested media to DB | |
| def add_media_to_database(url, info_dict, segments, summary, keywords, custom_prompt_input, whisper_model, media_type='video'): | |
| try: | |
| # Extract content from segments | |
| if isinstance(segments, list): | |
| content = ' '.join([segment.get('Text', '') for segment in segments if 'Text' in segment]) | |
| elif isinstance(segments, dict): | |
| content = segments.get('text', '') or segments.get('content', '') | |
| else: | |
| content = str(segments) | |
| logging.debug(f"Extracted content (first 500 chars): {content[:500]}") | |
| # Set default custom prompt if not provided | |
| if custom_prompt_input is None: | |
| custom_prompt_input = """No Custom Prompt Provided or Was Used.""" | |
| logging.info(f"Adding media to database: URL={url}, Title={info_dict.get('title', 'Untitled')}, Type={media_type}") | |
| # Process keywords | |
| if isinstance(keywords, str): | |
| keyword_list = [keyword.strip().lower() for keyword in keywords.split(',')] | |
| elif isinstance(keywords, (list, tuple)): | |
| keyword_list = [keyword.strip().lower() for keyword in keywords] | |
| else: | |
| keyword_list = ['default'] | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| # Check if media already exists | |
| cursor.execute('SELECT id FROM Media WHERE url = ?', (url,)) | |
| existing_media = cursor.fetchone() | |
| if existing_media: | |
| media_id = existing_media[0] | |
| logging.info(f"Updating existing media with ID: {media_id}") | |
| cursor.execute(''' | |
| UPDATE Media | |
| SET content = ?, transcription_model = ?, title = ?, type = ?, author = ?, ingestion_date = ? | |
| WHERE id = ? | |
| ''', (content, whisper_model, info_dict.get('title', 'Untitled'), media_type, | |
| info_dict.get('uploader', 'Unknown'), datetime.now().strftime('%Y-%m-%d'), media_id)) | |
| else: | |
| logging.info("Creating new media entry") | |
| cursor.execute(''' | |
| INSERT INTO Media (url, title, type, content, author, ingestion_date, transcription_model) | |
| VALUES (?, ?, ?, ?, ?, ?, ?) | |
| ''', (url, info_dict.get('title', 'Untitled'), media_type, content, | |
| info_dict.get('uploader', 'Unknown'), datetime.now().strftime('%Y-%m-%d'), whisper_model)) | |
| media_id = cursor.lastrowid | |
| logging.info(f"Adding new modification to MediaModifications for media ID: {media_id}") | |
| cursor.execute(''' | |
| INSERT INTO MediaModifications (media_id, prompt, summary, modification_date) | |
| VALUES (?, ?, ?, ?) | |
| ''', (media_id, custom_prompt_input, summary, datetime.now().strftime('%Y-%m-%d'))) | |
| # Insert keywords and associate with media item | |
| logging.info("Processing keywords") | |
| for keyword in keyword_list: | |
| cursor.execute('INSERT OR IGNORE INTO Keywords (keyword) VALUES (?)', (keyword,)) | |
| cursor.execute('SELECT id FROM Keywords WHERE keyword = ?', (keyword,)) | |
| keyword_id = cursor.fetchone()[0] | |
| cursor.execute('INSERT OR IGNORE INTO MediaKeywords (media_id, keyword_id) VALUES (?, ?)', | |
| (media_id, keyword_id)) | |
| # Update full-text search index | |
| logging.info("Updating full-text search index") | |
| cursor.execute('INSERT OR REPLACE INTO media_fts (rowid, title, content) VALUES (?, ?, ?)', | |
| (media_id, info_dict.get('title', 'Untitled'), content)) | |
| logging.info("Adding new media version") | |
| add_media_version(media_id, custom_prompt_input, summary) | |
| conn.commit() | |
| logging.info(f"Media '{info_dict.get('title', 'Untitled')}' successfully added/updated with ID: {media_id}") | |
| return f"Media '{info_dict.get('title', 'Untitled')}' added/updated successfully with keywords: {', '.join(keyword_list)}" | |
| except sqlite3.Error as e: | |
| logging.error(f"SQL Error: {e}") | |
| raise DatabaseError(f"Error adding media with keywords: {e}") | |
| except Exception as e: | |
| logging.error(f"Unexpected Error: {e}") | |
| raise DatabaseError(f"Unexpected error: {e}") | |
| # def add_media_to_database(url, info_dict, segments, summary, keywords, custom_prompt_input, whisper_model, media_type='video'): | |
| # try: | |
| # # Extract content from segments | |
| # if isinstance(segments, list): | |
| # content = ' '.join([segment.get('Text', '') for segment in segments if 'Text' in segment]) | |
| # elif isinstance(segments, dict): | |
| # content = segments.get('text', '') or segments.get('content', '') | |
| # else: | |
| # content = str(segments) | |
| # | |
| # logging.debug(f"Extracted content (first 500 chars): {content[:500]}") | |
| # | |
| # # Set default custom prompt if not provided | |
| # if custom_prompt_input is None: | |
| # custom_prompt_input = """No Custom Prompt Provided or Was Used.""" | |
| # | |
| # logging.info(f"Adding media to database: URL={url}, Title={info_dict.get('title', 'Untitled')}, Type={media_type}") | |
| # | |
| # result = add_media_with_keywords( | |
| # url=url, | |
| # title=info_dict.get('title', 'Untitled'), | |
| # media_type=media_type, | |
| # content=content, | |
| # keywords=','.join(keywords) if isinstance(keywords, list) else keywords, | |
| # prompt=custom_prompt_input or 'No prompt provided', | |
| # summary=summary or 'No summary provided', | |
| # transcription_model=whisper_model, | |
| # author=info_dict.get('uploader', 'Unknown'), | |
| # ingestion_date=datetime.now().strftime('%Y-%m-%d') | |
| # ) | |
| # | |
| # logging.info(f"Media added successfully: {result}") | |
| # return result | |
| # | |
| # except Exception as e: | |
| # logging.error(f"Error in add_media_to_database: {str(e)}") | |
| # raise | |
| # | |
| # End of .... | |
| ####################################################################################################################### | |
| # | |
| # Functions to manage prompts DB | |
| def create_prompts_db(): | |
| with sqlite3.connect('prompts.db') as conn: | |
| cursor = conn.cursor() | |
| cursor.executescript(''' | |
| CREATE TABLE IF NOT EXISTS Prompts ( | |
| id INTEGER PRIMARY KEY AUTOINCREMENT, | |
| name TEXT NOT NULL UNIQUE, | |
| details TEXT, | |
| system TEXT, | |
| user TEXT | |
| ); | |
| CREATE TABLE IF NOT EXISTS Keywords ( | |
| id INTEGER PRIMARY KEY AUTOINCREMENT, | |
| keyword TEXT NOT NULL UNIQUE COLLATE NOCASE | |
| ); | |
| CREATE TABLE IF NOT EXISTS PromptKeywords ( | |
| prompt_id INTEGER, | |
| keyword_id INTEGER, | |
| FOREIGN KEY (prompt_id) REFERENCES Prompts (id), | |
| FOREIGN KEY (keyword_id) REFERENCES Keywords (id), | |
| PRIMARY KEY (prompt_id, keyword_id) | |
| ); | |
| CREATE INDEX IF NOT EXISTS idx_keywords_keyword ON Keywords(keyword); | |
| CREATE INDEX IF NOT EXISTS idx_promptkeywords_prompt_id ON PromptKeywords(prompt_id); | |
| CREATE INDEX IF NOT EXISTS idx_promptkeywords_keyword_id ON PromptKeywords(keyword_id); | |
| ''') | |
| def normalize_keyword(keyword): | |
| return re.sub(r'\s+', ' ', keyword.strip().lower()) | |
| def add_prompt(name, details, system, user=None, keywords=None): | |
| if not name or not system: | |
| return "Name and system prompt are required." | |
| try: | |
| with sqlite3.connect('prompts.db') as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(''' | |
| INSERT INTO Prompts (name, details, system, user) | |
| VALUES (?, ?, ?, ?) | |
| ''', (name, details, system, user)) | |
| prompt_id = cursor.lastrowid | |
| if keywords: | |
| normalized_keywords = [normalize_keyword(k) for k in keywords if k.strip()] | |
| for keyword in set(normalized_keywords): # Use set to remove duplicates | |
| cursor.execute(''' | |
| INSERT OR IGNORE INTO Keywords (keyword) VALUES (?) | |
| ''', (keyword,)) | |
| cursor.execute('SELECT id FROM Keywords WHERE keyword = ?', (keyword,)) | |
| keyword_id = cursor.fetchone()[0] | |
| cursor.execute(''' | |
| INSERT OR IGNORE INTO PromptKeywords (prompt_id, keyword_id) VALUES (?, ?) | |
| ''', (prompt_id, keyword_id)) | |
| return "Prompt added successfully." | |
| except sqlite3.IntegrityError: | |
| return "Prompt with this name already exists." | |
| except sqlite3.Error as e: | |
| return f"Database error: {e}" | |
| def fetch_prompt_details(name): | |
| with sqlite3.connect('prompts.db') as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(''' | |
| SELECT p.name, p.details, p.system, p.user, GROUP_CONCAT(k.keyword, ', ') as keywords | |
| FROM Prompts p | |
| LEFT JOIN PromptKeywords pk ON p.id = pk.prompt_id | |
| LEFT JOIN Keywords k ON pk.keyword_id = k.id | |
| WHERE p.name = ? | |
| GROUP BY p.id | |
| ''', (name,)) | |
| return cursor.fetchone() | |
| def list_prompts(page=1, per_page=10): | |
| offset = (page - 1) * per_page | |
| with sqlite3.connect('prompts.db') as conn: | |
| cursor = conn.cursor() | |
| cursor.execute('SELECT name FROM Prompts LIMIT ? OFFSET ?', (per_page, offset)) | |
| prompts = [row[0] for row in cursor.fetchall()] | |
| # Get total count of prompts | |
| cursor.execute('SELECT COUNT(*) FROM Prompts') | |
| total_count = cursor.fetchone()[0] | |
| total_pages = (total_count + per_page - 1) // per_page | |
| return prompts, total_pages, page | |
| # This will not scale. For a large number of prompts, use a more efficient method. | |
| # FIXME - see above statement. | |
| def load_preset_prompts(): | |
| try: | |
| with sqlite3.connect('prompts.db') as conn: | |
| cursor = conn.cursor() | |
| cursor.execute('SELECT name FROM Prompts ORDER BY name ASC') | |
| prompts = [row[0] for row in cursor.fetchall()] | |
| return prompts | |
| except sqlite3.Error as e: | |
| print(f"Database error: {e}") | |
| return [] | |
| def insert_prompt_to_db(title, description, system_prompt, user_prompt, keywords=None): | |
| return add_prompt(title, description, system_prompt, user_prompt, keywords) | |
| def search_prompts_by_keyword(keyword, page=1, per_page=10): | |
| normalized_keyword = normalize_keyword(keyword) | |
| offset = (page - 1) * per_page | |
| with sqlite3.connect('prompts.db') as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(''' | |
| SELECT DISTINCT p.name | |
| FROM Prompts p | |
| JOIN PromptKeywords pk ON p.id = pk.prompt_id | |
| JOIN Keywords k ON pk.keyword_id = k.id | |
| WHERE k.keyword LIKE ? | |
| LIMIT ? OFFSET ? | |
| ''', ('%' + normalized_keyword + '%', per_page, offset)) | |
| prompts = [row[0] for row in cursor.fetchall()] | |
| # Get total count of matching prompts | |
| cursor.execute(''' | |
| SELECT COUNT(DISTINCT p.id) | |
| FROM Prompts p | |
| JOIN PromptKeywords pk ON p.id = pk.prompt_id | |
| JOIN Keywords k ON pk.keyword_id = k.id | |
| WHERE k.keyword LIKE ? | |
| ''', ('%' + normalized_keyword + '%',)) | |
| total_count = cursor.fetchone()[0] | |
| total_pages = (total_count + per_page - 1) // per_page | |
| return prompts, total_pages, page | |
| def update_prompt_keywords(prompt_name, new_keywords): | |
| try: | |
| with sqlite3.connect('prompts.db') as conn: | |
| cursor = conn.cursor() | |
| cursor.execute('SELECT id FROM Prompts WHERE name = ?', (prompt_name,)) | |
| prompt_id = cursor.fetchone() | |
| if not prompt_id: | |
| return "Prompt not found." | |
| prompt_id = prompt_id[0] | |
| cursor.execute('DELETE FROM PromptKeywords WHERE prompt_id = ?', (prompt_id,)) | |
| normalized_keywords = [normalize_keyword(k) for k in new_keywords if k.strip()] | |
| for keyword in set(normalized_keywords): # Use set to remove duplicates | |
| cursor.execute('INSERT OR IGNORE INTO Keywords (keyword) VALUES (?)', (keyword,)) | |
| cursor.execute('SELECT id FROM Keywords WHERE keyword = ?', (keyword,)) | |
| keyword_id = cursor.fetchone()[0] | |
| cursor.execute('INSERT INTO PromptKeywords (prompt_id, keyword_id) VALUES (?, ?)', | |
| (prompt_id, keyword_id)) | |
| # Remove unused keywords | |
| cursor.execute(''' | |
| DELETE FROM Keywords | |
| WHERE id NOT IN (SELECT DISTINCT keyword_id FROM PromptKeywords) | |
| ''') | |
| return "Keywords updated successfully." | |
| except sqlite3.Error as e: | |
| return f"Database error: {e}" | |
| def add_or_update_prompt(title, description, system_prompt, user_prompt, keywords=None): | |
| if not title: | |
| return "Error: Title is required." | |
| existing_prompt = fetch_prompt_details(title) | |
| if existing_prompt: | |
| # Update existing prompt | |
| result = update_prompt_in_db(title, description, system_prompt, user_prompt) | |
| if "successfully" in result: | |
| # Update keywords if the prompt update was successful | |
| keyword_result = update_prompt_keywords(title, keywords or []) | |
| result += f" {keyword_result}" | |
| else: | |
| # Insert new prompt | |
| result = insert_prompt_to_db(title, description, system_prompt, user_prompt, keywords) | |
| return result | |
| def load_prompt_details(selected_prompt): | |
| if selected_prompt: | |
| details = fetch_prompt_details(selected_prompt) | |
| if details: | |
| return details[0], details[1], details[2], details[3], details[4] # Include keywords | |
| return "", "", "", "", "" | |
| def update_prompt_in_db(title, description, system_prompt, user_prompt): | |
| try: | |
| with sqlite3.connect('prompts.db') as conn: | |
| cursor = conn.cursor() | |
| cursor.execute( | |
| "UPDATE Prompts SET details = ?, system = ?, user = ? WHERE name = ?", | |
| (description, system_prompt, user_prompt, title) | |
| ) | |
| if cursor.rowcount == 0: | |
| return "No prompt found with the given title." | |
| return "Prompt updated successfully!" | |
| except sqlite3.Error as e: | |
| return f"Error updating prompt: {e}" | |
| create_prompts_db() | |
| def delete_prompt(prompt_id): | |
| try: | |
| with sqlite3.connect('prompts.db') as conn: | |
| cursor = conn.cursor() | |
| # Delete associated keywords | |
| cursor.execute("DELETE FROM PromptKeywords WHERE prompt_id = ?", (prompt_id,)) | |
| # Delete the prompt | |
| cursor.execute("DELETE FROM Prompts WHERE id = ?", (prompt_id,)) | |
| if cursor.rowcount == 0: | |
| return f"No prompt found with ID {prompt_id}" | |
| else: | |
| conn.commit() | |
| return f"Prompt with ID {prompt_id} has been successfully deleted" | |
| except sqlite3.Error as e: | |
| return f"An error occurred: {e}" | |
| # | |
| # | |
| ####################################################################################################################### | |
| # | |
| # Function to fetch/update media content | |
| def update_media_content(selected_item, item_mapping, content_input, prompt_input, summary_input): | |
| try: | |
| if selected_item and item_mapping and selected_item in item_mapping: | |
| media_id = item_mapping[selected_item] | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| # Update the main content in the Media table | |
| cursor.execute("UPDATE Media SET content = ? WHERE id = ?", (content_input, media_id)) | |
| # Check if a row already exists in MediaModifications for this media_id | |
| cursor.execute("SELECT COUNT(*) FROM MediaModifications WHERE media_id = ?", (media_id,)) | |
| exists = cursor.fetchone()[0] > 0 | |
| if exists: | |
| # Update existing row | |
| cursor.execute(""" | |
| UPDATE MediaModifications | |
| SET prompt = ?, summary = ?, modification_date = CURRENT_TIMESTAMP | |
| WHERE media_id = ? | |
| """, (prompt_input, summary_input, media_id)) | |
| else: | |
| # Insert new row | |
| cursor.execute(""" | |
| INSERT INTO MediaModifications (media_id, prompt, summary, modification_date) | |
| VALUES (?, ?, ?, CURRENT_TIMESTAMP) | |
| """, (media_id, prompt_input, summary_input)) | |
| conn.commit() | |
| return f"Content updated successfully for media ID: {media_id}" | |
| else: | |
| return "No item selected or invalid selection" | |
| except Exception as e: | |
| logging.error(f"Error updating media content: {e}") | |
| return f"Error updating content: {str(e)}" | |
| def search_media_database(query: str) -> List[Tuple[int, str, str]]: | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute("SELECT id, title, url FROM Media WHERE title LIKE ?", (f'%{query}%',)) | |
| results = cursor.fetchall() | |
| return results | |
| except sqlite3.Error as e: | |
| raise Exception(f"Error searching media database: {e}") | |
| def load_media_content(media_id: int) -> dict: | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute("SELECT content, prompt, summary FROM Media WHERE id = ?", (media_id,)) | |
| result = cursor.fetchone() | |
| if result: | |
| return { | |
| "content": result[0], | |
| "prompt": result[1], | |
| "summary": result[2] | |
| } | |
| return {"content": "", "prompt": "", "summary": ""} | |
| except sqlite3.Error as e: | |
| raise Exception(f"Error loading media content: {e}") | |
| def fetch_items_by_title_or_url(search_query: str, search_type: str): | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| if search_type == 'Title': | |
| cursor.execute("SELECT id, title, url FROM Media WHERE title LIKE ?", (f'%{search_query}%',)) | |
| elif search_type == 'URL': | |
| cursor.execute("SELECT id, title, url FROM Media WHERE url LIKE ?", (f'%{search_query}%',)) | |
| results = cursor.fetchall() | |
| return results | |
| except sqlite3.Error as e: | |
| raise DatabaseError(f"Error fetching items by {search_type}: {e}") | |
| def fetch_items_by_keyword(search_query: str): | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(""" | |
| SELECT m.id, m.title, m.url | |
| FROM Media m | |
| JOIN MediaKeywords mk ON m.id = mk.media_id | |
| JOIN Keywords k ON mk.keyword_id = k.id | |
| WHERE k.keyword LIKE ? | |
| """, (f'%{search_query}%',)) | |
| results = cursor.fetchall() | |
| return results | |
| except sqlite3.Error as e: | |
| raise DatabaseError(f"Error fetching items by keyword: {e}") | |
| def fetch_items_by_content(search_query: str): | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute("SELECT id, title, url FROM Media WHERE content LIKE ?", (f'%{search_query}%',)) | |
| results = cursor.fetchall() | |
| return results | |
| except sqlite3.Error as e: | |
| raise DatabaseError(f"Error fetching items by content: {e}") | |
| def fetch_item_details_single(media_id: int): | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(""" | |
| SELECT prompt, summary | |
| FROM MediaModifications | |
| WHERE media_id = ? | |
| ORDER BY modification_date DESC | |
| LIMIT 1 | |
| """, (media_id,)) | |
| prompt_summary_result = cursor.fetchone() | |
| cursor.execute("SELECT content FROM Media WHERE id = ?", (media_id,)) | |
| content_result = cursor.fetchone() | |
| prompt = prompt_summary_result[0] if prompt_summary_result else "" | |
| summary = prompt_summary_result[1] if prompt_summary_result else "" | |
| content = content_result[0] if content_result else "" | |
| return prompt, summary, content | |
| except sqlite3.Error as e: | |
| raise Exception(f"Error fetching item details: {e}") | |
| def convert_to_markdown(item): | |
| markdown = f"# {item['title']}\n\n" | |
| markdown += f"**URL:** {item['url']}\n\n" | |
| markdown += f"**Author:** {item['author']}\n\n" | |
| markdown += f"**Ingestion Date:** {item['ingestion_date']}\n\n" | |
| markdown += f"**Type:** {item['type']}\n\n" | |
| markdown += f"**Keywords:** {', '.join(item['keywords'])}\n\n" | |
| markdown += "## Summary\n\n" | |
| markdown += f"{item['summary']}\n\n" | |
| markdown += "## Content\n\n" | |
| markdown += f"{item['content']}\n\n" | |
| return markdown | |
| # Gradio function to handle user input and display results with pagination for displaying entries in the DB | |
| def fetch_paginated_data(page: int, results_per_page: int) -> Tuple[List[Tuple], int]: | |
| try: | |
| offset = (page - 1) * results_per_page | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute("SELECT COUNT(*) FROM Media") | |
| total_entries = cursor.fetchone()[0] | |
| cursor.execute("SELECT id, title, url FROM Media LIMIT ? OFFSET ?", (results_per_page, offset)) | |
| results = cursor.fetchall() | |
| return results, total_entries | |
| except sqlite3.Error as e: | |
| raise Exception(f"Error fetching paginated data: {e}") | |
| def format_results_as_html(results: List[Tuple]) -> str: | |
| html = "<table class='table table-striped'>" | |
| html += "<tr><th>ID</th><th>Title</th><th>URL</th></tr>" | |
| for row in results: | |
| html += f"<tr><td>{row[0]}</td><td>{row[1]}</td><td>{row[2]}</td></tr>" | |
| html += "</table>" | |
| return html | |
| def view_database(page: int, results_per_page: int) -> Tuple[str, str, int]: | |
| results, total_entries = fetch_paginated_data(page, results_per_page) | |
| formatted_results = format_results_as_html(results) | |
| # Calculate total pages | |
| total_pages = (total_entries + results_per_page - 1) // results_per_page | |
| return formatted_results, f"Page {page} of {total_pages}", total_pages | |
| def search_and_display_items(query, search_type, page, entries_per_page,char_count): | |
| offset = (page - 1) * entries_per_page | |
| try: | |
| with sqlite3.connect('media_summary.db') as conn: | |
| cursor = conn.cursor() | |
| # Adjust the SQL query based on the search type | |
| if search_type == "Title": | |
| where_clause = "WHERE m.title LIKE ?" | |
| elif search_type == "URL": | |
| where_clause = "WHERE m.url LIKE ?" | |
| elif search_type == "Keyword": | |
| where_clause = "WHERE k.keyword LIKE ?" | |
| elif search_type == "Content": | |
| where_clause = "WHERE m.content LIKE ?" | |
| else: | |
| raise ValueError("Invalid search type") | |
| cursor.execute(f''' | |
| SELECT m.id, m.title, m.url, m.content, mm.summary, GROUP_CONCAT(k.keyword, ', ') as keywords | |
| FROM Media m | |
| LEFT JOIN MediaModifications mm ON m.id = mm.media_id | |
| LEFT JOIN MediaKeywords mk ON m.id = mk.media_id | |
| LEFT JOIN Keywords k ON mk.keyword_id = k.id | |
| {where_clause} | |
| GROUP BY m.id | |
| ORDER BY m.ingestion_date DESC | |
| LIMIT ? OFFSET ? | |
| ''', (f'%{query}%', entries_per_page, offset)) | |
| items = cursor.fetchall() | |
| cursor.execute(f''' | |
| SELECT COUNT(DISTINCT m.id) | |
| FROM Media m | |
| LEFT JOIN MediaKeywords mk ON m.id = mk.media_id | |
| LEFT JOIN Keywords k ON mk.keyword_id = k.id | |
| {where_clause} | |
| ''', (f'%{query}%',)) | |
| total_items = cursor.fetchone()[0] | |
| results = "" | |
| for item in items: | |
| title = html.escape(item[1]).replace('\n', '<br>') | |
| url = html.escape(item[2]).replace('\n', '<br>') | |
| # First X amount of characters of the content | |
| content = html.escape(item[3] or '')[:char_count] + '...' | |
| summary = html.escape(item[4] or '').replace('\n', '<br>') | |
| keywords = html.escape(item[5] or '').replace('\n', '<br>') | |
| results += f""" | |
| <div style="border: 1px solid #ddd; padding: 10px; margin-bottom: 20px;"> | |
| <div style="display: grid; grid-template-columns: 1fr 1fr; gap: 10px;"> | |
| <div><strong>Title:</strong> {title}</div> | |
| <div><strong>URL:</strong> {url}</div> | |
| </div> | |
| <div style="margin-top: 10px;"> | |
| <strong>Content (first {char_count} characters):</strong> | |
| <pre style="white-space: pre-wrap; word-wrap: break-word;">{content}</pre> | |
| </div> | |
| <div style="margin-top: 10px;"> | |
| <strong>Summary:</strong> | |
| <pre style="white-space: pre-wrap; word-wrap: break-word;">{summary}</pre> | |
| </div> | |
| <div style="margin-top: 10px;"> | |
| <strong>Keywords:</strong> {keywords} | |
| </div> | |
| </div> | |
| """ | |
| total_pages = (total_items + entries_per_page - 1) // entries_per_page | |
| pagination = f"Page {page} of {total_pages} (Total items: {total_items})" | |
| return results, pagination, total_pages | |
| except sqlite3.Error as e: | |
| return f"<p>Error searching items: {e}</p>", "Error", 0 | |
| # | |
| # End of Functions to manage prompts DB / Fetch and update media content | |
| ####################################################################################################################### | |
| # | |
| # Obsidian-related Functions | |
| def import_obsidian_note_to_db(note_data): | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute("SELECT id FROM Media WHERE title = ? AND type = 'obsidian_note'", (note_data['title'],)) | |
| existing_note = cursor.fetchone() | |
| # Generate a relative path or meaningful identifier instead of using the temporary file path | |
| relative_path = os.path.relpath(note_data['file_path'], start=os.path.dirname(note_data['file_path'])) | |
| if existing_note: | |
| media_id = existing_note[0] | |
| cursor.execute(""" | |
| UPDATE Media | |
| SET content = ?, author = ?, ingestion_date = CURRENT_TIMESTAMP, url = ? | |
| WHERE id = ? | |
| """, (note_data['content'], note_data['frontmatter'].get('author', 'Unknown'), relative_path, media_id)) | |
| cursor.execute("DELETE FROM MediaKeywords WHERE media_id = ?", (media_id,)) | |
| else: | |
| cursor.execute(""" | |
| INSERT INTO Media (title, content, type, author, ingestion_date, url) | |
| VALUES (?, ?, 'obsidian_note', ?, CURRENT_TIMESTAMP, ?) | |
| """, (note_data['title'], note_data['content'], note_data['frontmatter'].get('author', 'Unknown'), | |
| relative_path)) | |
| media_id = cursor.lastrowid | |
| for tag in note_data['tags']: | |
| cursor.execute("INSERT OR IGNORE INTO Keywords (keyword) VALUES (?)", (tag,)) | |
| cursor.execute("SELECT id FROM Keywords WHERE keyword = ?", (tag,)) | |
| keyword_id = cursor.fetchone()[0] | |
| cursor.execute("INSERT OR IGNORE INTO MediaKeywords (media_id, keyword_id) VALUES (?, ?)", | |
| (media_id, keyword_id)) | |
| frontmatter_str = yaml.dump(note_data['frontmatter']) | |
| cursor.execute(""" | |
| INSERT INTO MediaModifications (media_id, prompt, summary, modification_date) | |
| VALUES (?, 'Obsidian Frontmatter', ?, CURRENT_TIMESTAMP) | |
| """, (media_id, frontmatter_str)) | |
| # Update full-text search index | |
| cursor.execute('INSERT OR REPLACE INTO media_fts (rowid, title, content) VALUES (?, ?, ?)', | |
| (media_id, note_data['title'], note_data['content'])) | |
| action = "Updated" if existing_note else "Imported" | |
| logger.info(f"{action} Obsidian note: {note_data['title']}") | |
| return True, None | |
| except sqlite3.Error as e: | |
| error_msg = f"Database error {'updating' if existing_note else 'importing'} note {note_data['title']}: {str(e)}" | |
| logger.error(error_msg) | |
| return False, error_msg | |
| except Exception as e: | |
| error_msg = f"Unexpected error {'updating' if existing_note else 'importing'} note {note_data['title']}: {str(e)}\n{traceback.format_exc()}" | |
| logger.error(error_msg) | |
| return False, error_msg | |
| # | |
| # End of Obsidian-related Functions | |
| ####################################################################################################################### | |
| # | |
| # Chat-related Functions | |
| def create_chat_conversation(media_id, conversation_name): | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(''' | |
| INSERT INTO ChatConversations (media_id, conversation_name, created_at, updated_at) | |
| VALUES (?, ?, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP) | |
| ''', (media_id, conversation_name)) | |
| conn.commit() | |
| return cursor.lastrowid | |
| except sqlite3.Error as e: | |
| logging.error(f"Error creating chat conversation: {e}") | |
| raise DatabaseError(f"Error creating chat conversation: {e}") | |
| def add_chat_message(conversation_id: int, sender: str, message: str) -> int: | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(''' | |
| INSERT INTO ChatMessages (conversation_id, sender, message) | |
| VALUES (?, ?, ?) | |
| ''', (conversation_id, sender, message)) | |
| conn.commit() | |
| return cursor.lastrowid | |
| except sqlite3.Error as e: | |
| logging.error(f"Error adding chat message: {e}") | |
| raise DatabaseError(f"Error adding chat message: {e}") | |
| def get_chat_messages(conversation_id: int) -> List[Dict[str, Any]]: | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(''' | |
| SELECT id, sender, message, timestamp | |
| FROM ChatMessages | |
| WHERE conversation_id = ? | |
| ORDER BY timestamp ASC | |
| ''', (conversation_id,)) | |
| messages = cursor.fetchall() | |
| return [ | |
| { | |
| 'id': msg[0], | |
| 'sender': msg[1], | |
| 'message': msg[2], | |
| 'timestamp': msg[3] | |
| } | |
| for msg in messages | |
| ] | |
| except sqlite3.Error as e: | |
| logging.error(f"Error retrieving chat messages: {e}") | |
| raise DatabaseError(f"Error retrieving chat messages: {e}") | |
| def search_chat_conversations(search_query: str) -> List[Dict[str, Any]]: | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(''' | |
| SELECT cc.id, cc.media_id, cc.conversation_name, cc.created_at, m.title as media_title | |
| FROM ChatConversations cc | |
| LEFT JOIN Media m ON cc.media_id = m.id | |
| WHERE cc.conversation_name LIKE ? OR m.title LIKE ? | |
| ORDER BY cc.updated_at DESC | |
| ''', (f'%{search_query}%', f'%{search_query}%')) | |
| conversations = cursor.fetchall() | |
| return [ | |
| { | |
| 'id': conv[0], | |
| 'media_id': conv[1], | |
| 'conversation_name': conv[2], | |
| 'created_at': conv[3], | |
| 'media_title': conv[4] or "Unknown Media" | |
| } | |
| for conv in conversations | |
| ] | |
| except sqlite3.Error as e: | |
| logging.error(f"Error searching chat conversations: {e}") | |
| return [] | |
| def update_chat_message(message_id: int, new_message: str) -> None: | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(''' | |
| UPDATE ChatMessages | |
| SET message = ?, timestamp = CURRENT_TIMESTAMP | |
| WHERE id = ? | |
| ''', (new_message, message_id)) | |
| conn.commit() | |
| except sqlite3.Error as e: | |
| logging.error(f"Error updating chat message: {e}") | |
| raise DatabaseError(f"Error updating chat message: {e}") | |
| def delete_chat_message(message_id: int) -> None: | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute('DELETE FROM ChatMessages WHERE id = ?', (message_id,)) | |
| conn.commit() | |
| except sqlite3.Error as e: | |
| logging.error(f"Error deleting chat message: {e}") | |
| raise DatabaseError(f"Error deleting chat message: {e}") | |
| def save_chat_history_to_database(chatbot, conversation_id, media_id, media_name, conversation_name): | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| # If conversation_id is None, create a new conversation | |
| if conversation_id is None: | |
| cursor.execute(''' | |
| INSERT INTO ChatConversations (media_id, media_name, conversation_name, created_at, updated_at) | |
| VALUES (?, ?, ?, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP) | |
| ''', (media_id, media_name, conversation_name)) | |
| conversation_id = cursor.lastrowid | |
| else: | |
| # If conversation exists, update the media_name | |
| cursor.execute(''' | |
| UPDATE ChatConversations | |
| SET media_name = ?, updated_at = CURRENT_TIMESTAMP | |
| WHERE id = ? | |
| ''', (media_name, conversation_id)) | |
| # Save each message in the chatbot history | |
| for i, (user_msg, ai_msg) in enumerate(chatbot): | |
| cursor.execute(''' | |
| INSERT INTO ChatMessages (conversation_id, sender, message, timestamp) | |
| VALUES (?, ?, ?, CURRENT_TIMESTAMP) | |
| ''', (conversation_id, 'user', user_msg)) | |
| cursor.execute(''' | |
| INSERT INTO ChatMessages (conversation_id, sender, message, timestamp) | |
| VALUES (?, ?, ?, CURRENT_TIMESTAMP) | |
| ''', (conversation_id, 'ai', ai_msg)) | |
| # Update the conversation's updated_at timestamp | |
| cursor.execute(''' | |
| UPDATE ChatConversations | |
| SET updated_at = CURRENT_TIMESTAMP | |
| WHERE id = ? | |
| ''', (conversation_id,)) | |
| conn.commit() | |
| return conversation_id | |
| except Exception as e: | |
| logging.error(f"Error saving chat history to database: {str(e)}") | |
| raise | |
| def get_conversation_name(conversation_id): | |
| if conversation_id is None: | |
| return None | |
| try: | |
| with sqlite3.connect('media_summary.db') as conn: # Replace with your actual database name | |
| cursor = conn.cursor() | |
| query = """ | |
| SELECT conversation_name, media_name | |
| FROM ChatConversations | |
| WHERE id = ? | |
| """ | |
| cursor.execute(query, (conversation_id,)) | |
| result = cursor.fetchone() | |
| if result: | |
| conversation_name, media_name = result | |
| if conversation_name: | |
| return conversation_name | |
| elif media_name: | |
| return f"{media_name}-chat" | |
| return None # Return None if no result found | |
| except sqlite3.Error as e: | |
| logging.error(f"Database error in get_conversation_name: {e}") | |
| return None | |
| except Exception as e: | |
| logging.error(f"Unexpected error in get_conversation_name: {e}") | |
| return None | |
| # | |
| # End of Chat-related Functions | |
| ####################################################################################################################### | |
| ####################################################################################################################### | |
| # | |
| # Functions to Compare Transcripts | |
| # Fetch Transcripts | |
| def get_transcripts(media_id): | |
| try: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(''' | |
| SELECT id, whisper_model, transcription, created_at | |
| FROM Transcripts | |
| WHERE media_id = ? | |
| ORDER BY created_at DESC | |
| ''', (media_id,)) | |
| return cursor.fetchall() | |
| except Exception as e: | |
| logging.error(f"Error in get_transcripts: {str(e)}") | |
| return [] | |
| # | |
| # End of Functions to Compare Transcripts | |
| ####################################################################################################################### | |
| ####################################################################################################################### | |
| # | |
| # Functions to handle deletion of media items | |
| def mark_as_trash(media_id: int) -> None: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(""" | |
| UPDATE Media | |
| SET is_trash = 1, trash_date = ? | |
| WHERE id = ? | |
| """, (datetime.now(), media_id)) | |
| conn.commit() | |
| def restore_from_trash(media_id: int) -> None: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(""" | |
| UPDATE Media | |
| SET is_trash = 0, trash_date = NULL | |
| WHERE id = ? | |
| """, (media_id,)) | |
| conn.commit() | |
| def get_trashed_items() -> List[Dict]: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(""" | |
| SELECT id, title, trash_date | |
| FROM Media | |
| WHERE is_trash = 1 | |
| ORDER BY trash_date DESC | |
| """) | |
| return [{'id': row[0], 'title': row[1], 'trash_date': row[2]} for row in cursor.fetchall()] | |
| def permanently_delete_item(media_id: int) -> None: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute("DELETE FROM Media WHERE id = ?", (media_id,)) | |
| cursor.execute("DELETE FROM MediaKeywords WHERE media_id = ?", (media_id,)) | |
| cursor.execute("DELETE FROM MediaVersion WHERE media_id = ?", (media_id,)) | |
| cursor.execute("DELETE FROM MediaModifications WHERE media_id = ?", (media_id,)) | |
| cursor.execute("DELETE FROM media_fts WHERE rowid = ?", (media_id,)) | |
| conn.commit() | |
| def empty_trash(days_threshold: int) -> Tuple[int, int]: | |
| threshold_date = datetime.now() - timedelta(days=days_threshold) | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute(""" | |
| SELECT id FROM Media | |
| WHERE is_trash = 1 AND trash_date <= ? | |
| """, (threshold_date,)) | |
| old_items = cursor.fetchall() | |
| for item in old_items: | |
| permanently_delete_item(item[0]) | |
| cursor.execute(""" | |
| SELECT COUNT(*) FROM Media | |
| WHERE is_trash = 1 AND trash_date > ? | |
| """, (threshold_date,)) | |
| remaining_items = cursor.fetchone()[0] | |
| return len(old_items), remaining_items | |
| def user_delete_item(media_id: int, force: bool = False) -> str: | |
| with db.get_connection() as conn: | |
| cursor = conn.cursor() | |
| cursor.execute("SELECT is_trash, trash_date FROM Media WHERE id = ?", (media_id,)) | |
| result = cursor.fetchone() | |
| if not result: | |
| return "Item not found." | |
| is_trash, trash_date = result | |
| if not is_trash: | |
| mark_as_trash(media_id) | |
| return "Item moved to trash." | |
| if force or (trash_date and (datetime.now() - trash_date).days >= 30): | |
| permanently_delete_item(media_id) | |
| return "Item permanently deleted." | |
| else: | |
| return "Item is already in trash. Use force=True to delete permanently before 30 days." | |
| # | |
| # End of Functions to handle deletion of media items | |
| ####################################################################################################################### | |