# 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.Utils.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 @contextmanager 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) ) ''', ''' CREATE TABLE IF NOT EXISTS DocumentVersions ( id INTEGER PRIMARY KEY AUTOINCREMENT, media_id INTEGER NOT NULL, version_number INTEGER NOT NULL, content TEXT, created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, 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)', 'CREATE INDEX IF NOT EXISTS idx_document_versions_media_id ON DocumentVersions(media_id)', 'CREATE INDEX IF NOT EXISTS idx_document_versions_version_number ON DocumentVersions(version_number)', ] 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"""
URL: {selected_row.get('URL', 'No URL')}
Type: {selected_row.get('Type', 'No Type')}
Author: {selected_row.get('Author', 'No Author')}
Ingestion Date: {selected_row.get('Ingestion Date', 'No Date')}
Prompt: {selected_row.get('Prompt', 'No Prompt')}
Summary: {selected_row.get('Summary', 'No Summary')}
Content: {selected_row.get('Content', 'No Content')}
""" 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"""URL: {row['URL']}
Type: {row['Type']}
Author: {row['Author']}
Ingestion Date: {row['Ingestion Date']}
Prompt: {row['Prompt']}
Summary: {row['Summary']}
Content:
{row['Content']}""" 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) # Create initial document version create_document_version(media_id, content) 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}") # # 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)) # Create new document version new_version = create_document_version(media_id, content_input) conn.commit() return f"Content updated successfully for media ID: {media_id}. New version: {new_version}" 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 = "
ID | Title | URL |
---|---|---|
{row[0]} | {row[1]} | {row[2]} |
{content}
{summary}
Error searching items: {e}
", "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 ####################################################################################################################### # # Functions to manage document versions def create_document_version(media_id: int, content: str) -> int: try: with db.get_connection() as conn: cursor = conn.cursor() # Get the latest version number cursor.execute(''' SELECT MAX(version_number) FROM DocumentVersions WHERE media_id = ? ''', (media_id,)) latest_version = cursor.fetchone()[0] or 0 new_version = latest_version + 1 # Insert new version cursor.execute(''' INSERT INTO DocumentVersions (media_id, version_number, content) VALUES (?, ?, ?) ''', (media_id, new_version, content)) conn.commit() return new_version except sqlite3.Error as e: logging.error(f"Error creating document version: {e}") raise DatabaseError(f"Error creating document version: {e}") def get_document_version(media_id: int, version_number: int = None) -> Dict[str, Any]: try: with db.get_connection() as conn: cursor = conn.cursor() if version_number is None: # Get the latest version cursor.execute(''' SELECT id, version_number, content, created_at FROM DocumentVersions WHERE media_id = ? ORDER BY version_number DESC LIMIT 1 ''', (media_id,)) else: cursor.execute(''' SELECT id, version_number, content, created_at FROM DocumentVersions WHERE media_id = ? AND version_number = ? ''', (media_id, version_number)) result = cursor.fetchone() if result: return { 'id': result[0], 'version_number': result[1], 'content': result[2], 'created_at': result[3] } else: return None except sqlite3.Error as e: logging.error(f"Error retrieving document version: {e}") raise DatabaseError(f"Error retrieving document version: {e}") # # End of Functions to manage document versions #######################################################################################################################