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# SQLite_DB.py | |
######################################### | |
# SQLite_DB Library | |
# This library is used to perform any/all DB operations related to SQLite. | |
# | |
#### | |
import configparser | |
#################### | |
# 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 hashlib | |
import html | |
import logging | |
import os | |
import queue | |
import re | |
import shutil | |
import sqlite3 | |
import threading | |
import traceback | |
from contextlib import contextmanager | |
from datetime import datetime, timedelta | |
from typing import List, Tuple, Dict, Any, Optional | |
from urllib.parse import quote | |
# Local Libraries | |
from App_Function_Libraries.Utils.Utils import get_project_relative_path, get_database_path, \ | |
get_database_dir | |
from App_Function_Libraries.Chunk_Lib import chunk_options, chunk_text | |
# | |
# Third-Party Libraries | |
import gradio as gr | |
import pandas as pd | |
import yaml | |
# | |
####################################################################################################################### | |
# Function Definitions | |
# | |
def ensure_database_directory(): | |
os.makedirs(get_database_dir(), exist_ok=True) | |
ensure_database_directory() | |
# Set up logging | |
logger = logging.getLogger(__name__) | |
# FIXME - Setup properly and test/add documentation for its existence... | |
# Construct the path to the config file | |
config_path = get_project_relative_path('Config_Files/config.txt') | |
# Read the config file | |
config = configparser.ConfigParser() | |
config.read(config_path) | |
# Get the SQLite path from the config, or use the default if not specified | |
sqlite_path = config.get('Database', 'sqlite_path', fallback=get_database_path('media_summary.db')) | |
# Get the backup path from the config, or use the default if not specified | |
backup_path = config.get('Database', 'backup_path', fallback='database_backups') | |
backup_path = get_project_relative_path(backup_path) | |
# Set the final paths | |
db_path = sqlite_path | |
backup_dir = backup_path | |
print(f"Database path: {db_path}") | |
print(f"Backup directory: {backup_dir}") | |
#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) | |
# | |
# | |
####################################################################################################################### | |
####################################################################################################################### | |
# | |
# 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"media_db_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}") | |
# | |
# | |
####################################################################################################################### | |
####################################################################################################################### | |
# | |
# 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 | |
####################################################################################################################### | |
####################################################################################################################### | |
# | |
# DB Setup Functions | |
class DatabaseError(Exception): | |
pass | |
class InputError(Exception): | |
pass | |
class Database: | |
def __init__(self, db_name='media_summary.db'): | |
self.db_path = get_database_path(db_name) | |
self.timeout = 10.0 | |
self._local = threading.local() | |
def get_connection(self): | |
if not hasattr(self._local, 'connection') or self._local.connection is None: | |
self._local.connection = sqlite3.connect(self.db_path, timeout=self.timeout) | |
self._local.connection.isolation_level = None # This enables autocommit mode | |
yield self._local.connection | |
def close_connection(self): | |
if hasattr(self._local, 'connection') and self._local.connection: | |
self._local.connection.close() | |
self._local.connection = None | |
def transaction(self): | |
with self.get_connection() as conn: | |
try: | |
conn.execute("BEGIN") | |
yield conn | |
conn.execute("COMMIT") | |
except Exception: | |
conn.execute("ROLLBACK") | |
raise | |
def execute_query(self, query: str, params: Tuple = ()) -> Any: | |
with self.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute(query, params) | |
if query.strip().upper().startswith("SELECT"): | |
return cursor.fetchall() | |
else: | |
return cursor.rowcount | |
def execute_many(self, query: str, params_list: List[Tuple]) -> None: | |
with self.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.executemany(query, params_list) | |
def table_exists(self, table_name: str) -> bool: | |
query = 'SELECT name FROM sqlite_master WHERE type="table" AND name=?' | |
result = self.execute_query(query, (table_name,)) | |
return bool(result) | |
db = Database() | |
# Usage example: | |
if db.table_exists('DocumentVersions'): | |
logging.info("DocumentVersions table exists") | |
else: | |
logging.error("DocumentVersions table does not exist") | |
# 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, | |
chunking_status TEXT DEFAULT 'pending' | |
) | |
''', | |
''' | |
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, | |
chunk_id TEXT, | |
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 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) | |
# | |
# End of DB Setup Functions | |
####################################################################################################################### | |
####################################################################################################################### | |
# | |
# Media-related Functions | |
def check_media_exists(title: str, url: str) -> Optional[int]: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
query = 'SELECT id FROM Media WHERE title = ? AND url = ?' | |
cursor.execute(query, (title, url)) | |
result = cursor.fetchone() | |
logging.debug(f"check_media_exists query: {query}") | |
logging.debug(f"check_media_exists params: title={title}, url={url}") | |
logging.debug(f"check_media_exists result: {result}") | |
return result[0] if result else None | |
except Exception as e: | |
logging.error(f"Error checking if media exists: {str(e)}") | |
logging.error(f"Exception details: {traceback.format_exc()}") | |
return 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})" | |
def add_media_chunk(media_id: int, chunk_text: str, start_index: int, end_index: int, chunk_id: str): | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute( | |
"INSERT INTO MediaChunks (media_id, chunk_text, start_index, end_index, chunk_id) VALUES (?, ?, ?, ?, ?)", | |
(media_id, chunk_text, start_index, end_index, chunk_id) | |
) | |
conn.commit() | |
def sqlite_update_fts_for_media(db, media_id: int): | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute("INSERT OR REPLACE INTO media_fts (rowid, title, content) SELECT id, title, content FROM Media WHERE id = ?", (media_id,)) | |
conn.commit() | |
def sqlite_get_unprocessed_media(db): | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute("SELECT id, content, type FROM Media WHERE id NOT IN (SELECT DISTINCT media_id FROM MediaChunks)") | |
return cursor.fetchall() | |
def get_next_media_id(): | |
try: | |
conn = sqlite3.connect(db_path) | |
cursor = conn.cursor() | |
cursor.execute("SELECT MAX(media_id) FROM media") | |
max_id = cursor.fetchone()[0] | |
return (max_id or 0) + 1 | |
finally: | |
conn.close() | |
# | |
# End of Media-related Functions | |
####################################################################################################################### | |
####################################################################################################################### | |
# 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: | |
# Insert into Keywords table | |
cursor.execute('INSERT OR IGNORE INTO Keywords (keyword) VALUES (?)', (keyword,)) | |
# Get the keyword_id (whether it was just inserted or already existed) | |
cursor.execute('SELECT id FROM Keywords WHERE keyword = ?', (keyword,)) | |
keyword_id = cursor.fetchone()[0] | |
# Check if the keyword exists in keyword_fts | |
cursor.execute('SELECT rowid FROM keyword_fts WHERE rowid = ?', (keyword_id,)) | |
if not cursor.fetchone(): | |
# If it doesn't exist in keyword_fts, insert it | |
cursor.execute('INSERT OR IGNORE INTO keyword_fts (rowid, keyword) VALUES (?, ?)', (keyword_id, keyword)) | |
logging.info(f"Keyword '{keyword}' added or updated 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): | |
logging.debug(f"Entering add_media_with_keywords: URL={url}, Title={title}") | |
# Set default values for missing fields | |
if url is None: | |
url = 'localhost' | |
elif url is not None: | |
url = url | |
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') | |
if media_type not in ['article', 'audio', 'document', 'mediawiki_article', 'mediawiki_dump', '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: | |
cursor = conn.cursor() | |
# Check if media already exists using both title and URL | |
existing_media_id = check_media_exists(title, url) | |
logging.debug(f"Existing media ID for {url}: {existing_media_id}") | |
if existing_media_id: | |
media_id = existing_media_id | |
logging.debug(f"Updating existing media with ID: {media_id}") | |
cursor.execute(''' | |
UPDATE Media | |
SET content = ?, transcription_model = ?, type = ?, author = ?, ingestion_date = ? | |
WHERE id = ? | |
''', (content, transcription_model, media_type, author, ingestion_date, media_id)) | |
else: | |
logging.debug("Inserting new media") | |
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.debug(f"New media inserted with ID: {media_id}") | |
cursor.execute(''' | |
INSERT INTO MediaModifications (media_id, prompt, summary, modification_date) | |
VALUES (?, ?, ?, ?) | |
''', (media_id, prompt, summary, ingestion_date)) | |
# Batch insert keywords | |
keyword_params = [(keyword.strip().lower(),) for keyword in keyword_list] | |
cursor.executemany('INSERT OR IGNORE INTO Keywords (keyword) VALUES (?)', keyword_params) | |
# Get keyword IDs | |
placeholder = ','.join(['?'] * len(keyword_list)) | |
cursor.execute(f'SELECT id, keyword FROM Keywords WHERE keyword IN ({placeholder})', keyword_list) | |
keyword_ids = cursor.fetchall() | |
# Batch insert media-keyword associations | |
media_keyword_params = [(media_id, keyword_id) for keyword_id, _ in keyword_ids] | |
cursor.executemany('INSERT OR IGNORE INTO MediaKeywords (media_id, keyword_id) VALUES (?, ?)', media_keyword_params) | |
# Update full-text search index | |
cursor.execute('INSERT OR REPLACE INTO media_fts (rowid, title, content) VALUES (?, ?, ?)', | |
(media_id, title, content)) | |
# Add media version | |
add_media_version(conn, media_id, prompt, summary) | |
conn.commit() | |
logging.info(f"Media '{title}' successfully added/updated with ID: {media_id}") | |
return media_id, f"Media '{title}' added/updated successfully with keywords: {', '.join(keyword_list)}" | |
except sqlite3.Error as e: | |
logging.error(f"SQL Error in add_media_with_keywords: {e}") | |
raise DatabaseError(f"Error adding media with keywords: {e}") | |
except Exception as e: | |
logging.error(f"Unexpected Error in add_media_with_keywords: {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}" | |
def fetch_keywords_for_media(media_id): | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute(''' | |
SELECT k.keyword | |
FROM Keywords k | |
JOIN MediaKeywords mk ON k.id = mk.keyword_id | |
WHERE mk.media_id = ? | |
''', (media_id,)) | |
keywords = [row[0] for row in cursor.fetchall()] | |
return keywords | |
except sqlite3.Error as e: | |
logging.error(f"Error fetching keywords: {e}") | |
return [] | |
def update_keywords_for_media(media_id, keyword_list): | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
# Remove old keywords | |
cursor.execute('DELETE FROM MediaKeywords WHERE media_id = ?', (media_id,)) | |
# Add new 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 INTO MediaKeywords (media_id, keyword_id) VALUES (?, ?)', (media_id, keyword_id)) | |
conn.commit() | |
return "Keywords updated successfully." | |
except sqlite3.Error as e: | |
logging.error(f"Error updating keywords: {e}") | |
return "Error updating keywords." | |
# | |
# End of Keyword-related functions | |
####################################################################################################################### | |
####################################################################################################################### | |
# | |
# Media-related Functions | |
# 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() | |
# Fetch the latest prompt and summary from MediaModifications | |
cursor.execute(""" | |
SELECT prompt, summary | |
FROM MediaModifications | |
WHERE media_id = ? | |
ORDER BY modification_date DESC | |
LIMIT 1 | |
""", (media_id,)) | |
prompt_summary_result = cursor.fetchone() | |
# Fetch the latest transcription | |
cursor.execute("SELECT content FROM Media WHERE id = ?", (media_id,)) | |
content_result = cursor.fetchone() | |
prompt = prompt_summary_result[0] if prompt_summary_result else "No prompt available." | |
summary = prompt_summary_result[1] if prompt_summary_result else "No summary available." | |
content = content_result[0] if content_result else "No content available." | |
return prompt, summary, content | |
except sqlite3.Error as e: | |
logging.error(f"Error fetching item details: {e}") | |
return "Error fetching prompt.", "Error fetching summary.", "Error fetching media." | |
# | |
# End of Media-related Functions | |
####################################################################################################################### | |
####################################################################################################################### | |
# | |
# Media-related Functions | |
# Function to add a version of a prompt and summary | |
def add_media_version(conn, media_id: int, prompt: str, summary: str) -> None: | |
try: | |
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'))) | |
except DatabaseError as e: | |
logging.error(f"Error adding media version: {e}") | |
raise | |
# Function to search the database with advanced options, including keyword search and full-text search | |
def sqlite_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 = sqlite_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 = sqlite_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 | |
def add_media_to_database(url, info_dict, segments, summary, keywords, custom_prompt_input, whisper_model, media_type='video', overwrite=False): | |
db = Database() | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
# Generate URL if not provided | |
if not url: | |
title = info_dict.get('title', 'Untitled') | |
url_hash = hashlib.md5(f"{title}{media_type}".encode()).hexdigest() | |
url = f"https://No-URL-Submitted.com/{media_type}/{quote(title)}-{url_hash}" | |
# 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) | |
# 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'] | |
# Check if media already exists | |
cursor.execute('SELECT id FROM Media WHERE url = ?', (url,)) | |
existing_media = cursor.fetchone() | |
if existing_media: | |
if overwrite: | |
media_id = existing_media[0] | |
cursor.execute(''' | |
UPDATE Media | |
SET content = ?, transcription_model = ?, title = ?, type = ?, author = ?, ingestion_date = ?, chunking_status = ? | |
WHERE id = ? | |
''', (content, whisper_model, info_dict.get('title', 'Untitled'), media_type, | |
info_dict.get('uploader', 'Unknown'), datetime.now().strftime('%Y-%m-%d'), 'pending', media_id)) | |
else: | |
cursor.execute(''' | |
INSERT INTO Media (url, title, type, content, author, ingestion_date, transcription_model, chunking_status) | |
VALUES (?, ?, ?, ?, ?, ?, ?, ?) | |
''', (url, info_dict.get('title', 'Untitled'), media_type, content, | |
info_dict.get('uploader', 'Unknown'), datetime.now().strftime('%Y-%m-%d'), whisper_model, 'pending')) | |
media_id = cursor.lastrowid | |
# Add modification | |
cursor.execute(''' | |
INSERT INTO MediaModifications (media_id, prompt, summary, modification_date) | |
VALUES (?, ?, ?, ?) | |
''', (media_id, custom_prompt_input, summary, datetime.now().strftime('%Y-%m-%d'))) | |
# Process 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 | |
cursor.execute('INSERT OR REPLACE INTO media_fts (rowid, title, content) VALUES (?, ?, ?)', | |
(media_id, info_dict.get('title', 'Untitled'), content)) | |
# Add media version | |
cursor.execute('SELECT MAX(version) FROM MediaVersion WHERE media_id = ?', (media_id,)) | |
current_version = cursor.fetchone()[0] or 0 | |
cursor.execute(''' | |
INSERT INTO MediaVersion (media_id, version, prompt, summary, created_at) | |
VALUES (?, ?, ?, ?, ?) | |
''', (media_id, current_version + 1, custom_prompt_input, summary, datetime.now().strftime('%Y-%m-%d %H:%M:%S'))) | |
conn.commit() | |
# Schedule chunking | |
schedule_chunking(media_id, content, info_dict.get('title', 'Untitled')) | |
action = "updated" if existing_media and overwrite else "added" | |
return f"Media '{info_dict.get('title', 'Untitled')}' {action} successfully with URL: {url} and keywords: {', '.join(keyword_list)}. Chunking scheduled." | |
except DatabaseError as e: | |
logging.error(f"Database error: {e}") | |
raise | |
except Exception as e: | |
logging.error(f"Unexpected error: {e}") | |
raise DatabaseError(f"Unexpected error: {e}") | |
def check_existing_media(url): | |
db = Database() | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute('SELECT id FROM Media WHERE url = ?', (url,)) | |
result = cursor.fetchone() | |
return {'id': result[0]} if result else None | |
except Exception as e: | |
logging.error(f"Error checking existing media: {e}") | |
return None | |
# Modified update_media_content function to create a new version | |
def update_media_content_with_version(media_id, info_dict, content_input, prompt_input, summary_input, whisper_model): | |
db = Database() | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
# Create new document version | |
cursor.execute('SELECT MAX(version) FROM MediaVersion WHERE media_id = ?', (media_id,)) | |
current_version = cursor.fetchone()[0] or 0 | |
new_version = current_version + 1 | |
# Insert new version | |
cursor.execute(''' | |
INSERT INTO MediaVersion (media_id, version, prompt, summary, created_at) | |
VALUES (?, ?, ?, ?, ?) | |
''', (media_id, new_version, prompt_input, summary_input, datetime.now().strftime('%Y-%m-%d %H:%M:%S'))) | |
# Update the main content in the Media table | |
cursor.execute(''' | |
UPDATE Media | |
SET content = ?, transcription_model = ?, title = ?, author = ?, ingestion_date = ?, chunking_status = ? | |
WHERE id = ? | |
''', (content_input, whisper_model, info_dict.get('title', 'Untitled'), | |
info_dict.get('uploader', 'Unknown'), datetime.now().strftime('%Y-%m-%d'), 'pending', media_id)) | |
# Update or insert into MediaModifications | |
cursor.execute(''' | |
INSERT OR REPLACE INTO MediaModifications (media_id, prompt, summary, modification_date) | |
VALUES (?, ?, ?, ?) | |
''', (media_id, prompt_input, summary_input, datetime.now().strftime('%Y-%m-%d'))) | |
# Update full-text search index | |
cursor.execute('INSERT OR REPLACE INTO media_fts (rowid, title, content) VALUES (?, ?, ?)', | |
(media_id, info_dict.get('title', 'Untitled'), content_input)) | |
conn.commit() | |
# Schedule chunking | |
schedule_chunking(media_id, content_input, info_dict.get('title', 'Untitled')) | |
return f"Content updated successfully for media ID: {media_id}. New version: {new_version}" | |
except Exception as e: | |
logging.error(f"Error updating media content: {e}") | |
return f"Error updating content: {str(e)}" | |
# FIXME: This function is not complete and needs to be implemented | |
def schedule_chunking(media_id: int, content: str, media_name: str): | |
try: | |
chunks = chunk_text(content, chunk_options['method'], chunk_options['max_size'], chunk_options['overlap']) | |
db = Database() | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
for i, chunk in enumerate(chunks): | |
cursor.execute(''' | |
INSERT INTO MediaChunks (media_id, chunk_text, start_index, end_index, chunk_id) | |
VALUES (?, ?, ?, ?, ?) | |
''', (media_id, chunk, i * chunk_options['max_size'], | |
min((i + 1) * chunk_options['max_size'], len(content)), | |
f"{media_id}_chunk_{i}")) | |
conn.commit() | |
# Update chunking status | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute("UPDATE Media SET chunking_status = 'completed' WHERE id = ?", (media_id,)) | |
conn.commit() | |
except Exception as e: | |
logging.error(f"Error scheduling chunking for media_id {media_id}: {str(e)}") | |
# You might want to update the chunking_status to 'failed' here | |
# | |
# End of .... | |
####################################################################################################################### | |
####################################################################################################################### | |
# | |
# Functions to manage prompts DB | |
def create_prompts_db(): | |
with sqlite3.connect(get_database_path('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(get_database_path('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(get_database_path('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(get_database_path('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(get_database_path('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 get_prompt_db_connection(): | |
prompt_db_path = get_database_path('prompts.db') | |
return sqlite3.connect(prompt_db_path) | |
def search_prompts(query): | |
try: | |
with get_prompt_db_connection() 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 LIKE ? OR p.details LIKE ? OR p.system LIKE ? OR p.user LIKE ? OR k.keyword LIKE ? | |
GROUP BY p.id | |
ORDER BY p.name | |
""", (f'%{query}%', f'%{query}%', f'%{query}%', f'%{query}%', f'%{query}%')) | |
return cursor.fetchall() | |
except sqlite3.Error as e: | |
logging.error(f"Error searching prompts: {e}") | |
return [] | |
def search_prompts_by_keyword(keyword, page=1, per_page=10): | |
normalized_keyword = normalize_keyword(keyword) | |
offset = (page - 1) * per_page | |
with sqlite3.connect(get_database_path('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(get_database_path('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(get_database_path('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(get_database_path('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 "No prompt available." | |
summary = prompt_summary_result[1] if prompt_summary_result else "No summary available." | |
content = content_result[0] if content_result else "No content available." | |
return prompt, summary, content | |
except sqlite3.Error as e: | |
logging.error(f"Error fetching item details: {e}") | |
return "Error fetching prompt.", "Error fetching summary.", "Error fetching content." | |
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('./Databases/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 [] | |
def get_latest_transcription(media_id: int): | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute(""" | |
SELECT transcription | |
FROM Transcripts | |
WHERE media_id = ? | |
ORDER BY created_at DESC | |
LIMIT 1 | |
""", (media_id,)) | |
result = cursor.fetchone() | |
return result[0] if result else "No transcription available." | |
except sqlite3.Error as e: | |
logging.error(f"Error fetching latest transcription: {e}") | |
return "Error fetching transcription." | |
# | |
# 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." | |
def get_chunk_text(media_id: int, chunk_index: int) -> str: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute("SELECT content FROM MediaChunks WHERE media_id = ? AND chunk_index = ?", | |
(media_id, chunk_index)) | |
result = cursor.fetchone() | |
return result[0] if result else None | |
def get_full_document(media_id: int) -> str: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute("SELECT content FROM Media WHERE id = ?", (media_id,)) | |
result = cursor.fetchone() | |
return result[0] if result else None | |
def get_all_content_from_database() -> List[Dict[str, Any]]: | |
""" | |
Retrieve all media content from the database that requires embedding. | |
Returns: | |
List[Dict[str, Any]]: A list of dictionaries, each containing the media ID, content, title, and other relevant fields. | |
""" | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute(""" | |
SELECT id, content, title, author, type | |
FROM Media | |
WHERE is_trash = 0 -- Exclude items marked as trash | |
""") | |
media_items = cursor.fetchall() | |
all_content = [ | |
{ | |
'id': item[0], | |
'content': item[1], | |
'title': item[2], | |
'author': item[3], | |
'type': item[4] | |
} | |
for item in media_items | |
] | |
return all_content | |
except sqlite3.Error as e: | |
logger.error(f"Error retrieving all content from database: {e}") | |
raise DatabaseError(f"Error retrieving all content from database: {e}") | |
def get_media_content(media_id: int) -> str: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute("SELECT content FROM Media WHERE id = ?", (media_id,)) | |
result = cursor.fetchone() | |
if result is None: | |
raise ValueError(f"No media found with id {media_id}") | |
return result[0] | |
except sqlite3.Error as e: | |
logging.error(f"Database error in get_media_content: {e}") | |
raise DatabaseError(f"Failed to retrieve media content: {e}") | |
except Exception as e: | |
logging.error(f"Unexpected error in get_media_content: {e}") | |
raise | |
def get_media_title(media_id: int) -> str: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute("SELECT title FROM Media WHERE id = ?", (media_id,)) | |
result = cursor.fetchone() | |
return result[0] if result else f"Unknown Source (ID: {media_id})" | |
except sqlite3.Error as e: | |
logging.error(f"Database error in get_media_title: {e}") | |
return f"Unknown Source (ID: {media_id})" | |
def get_media_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,)) | |
results = cursor.fetchall() | |
return [ | |
{ | |
'id': row[0], | |
'whisper_model': row[1], | |
'content': row[2], | |
'created_at': row[3] | |
} | |
for row in results | |
] | |
except Exception as e: | |
logging.error(f"Error in get_media_transcripts: {str(e)}") | |
return [] | |
def get_specific_transcript(transcript_id: int) -> Dict: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute(''' | |
SELECT id, whisper_model, transcription, created_at | |
FROM Transcripts | |
WHERE id = ? | |
''', (transcript_id,)) | |
result = cursor.fetchone() | |
if result: | |
return { | |
'id': result[0], | |
'whisper_model': result[1], | |
'content': result[2], | |
'created_at': result[3] | |
} | |
return {'error': f"No transcript found with ID {transcript_id}"} | |
except Exception as e: | |
logging.error(f"Error in get_specific_transcript: {str(e)}") | |
return {'error': f"Error retrieving transcript: {str(e)}"} | |
def get_media_summaries(media_id: int) -> List[Dict]: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute(''' | |
SELECT id, summary, modification_date | |
FROM MediaModifications | |
WHERE media_id = ? AND summary IS NOT NULL | |
ORDER BY modification_date DESC | |
''', (media_id,)) | |
results = cursor.fetchall() | |
return [ | |
{ | |
'id': row[0], | |
'content': row[1], | |
'created_at': row[2] | |
} | |
for row in results | |
] | |
except Exception as e: | |
logging.error(f"Error in get_media_summaries: {str(e)}") | |
def get_specific_summary(summary_id: int) -> Dict: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute(''' | |
SELECT id, summary, modification_date | |
FROM MediaModifications | |
WHERE id = ? | |
''', (summary_id,)) | |
result = cursor.fetchone() | |
if result: | |
return { | |
'id': result[0], | |
'content': result[1], | |
'created_at': result[2] | |
} | |
return {'error': f"No summary found with ID {summary_id}"} | |
except Exception as e: | |
logging.error(f"Error in get_specific_summary: {str(e)}") | |
return {'error': f"Error retrieving summary: {str(e)}"} | |
def get_media_prompts(media_id: int) -> List[Dict]: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute(''' | |
SELECT id, prompt, modification_date | |
FROM MediaModifications | |
WHERE media_id = ? AND prompt IS NOT NULL | |
ORDER BY modification_date DESC | |
''', (media_id,)) | |
results = cursor.fetchall() | |
return [ | |
{ | |
'id': row[0], | |
'content': row[1], | |
'created_at': row[2] | |
} | |
for row in results | |
] | |
except Exception as e: | |
logging.error(f"Error in get_media_prompts: {str(e)}") | |
return [] | |
def get_specific_prompt(prompt_id: int) -> Dict: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute(''' | |
SELECT id, prompt, modification_date | |
FROM MediaModifications | |
WHERE id = ? | |
''', (prompt_id,)) | |
result = cursor.fetchone() | |
if result: | |
return { | |
'id': result[0], | |
'content': result[1], | |
'created_at': result[2] | |
} | |
return {'error': f"No prompt found with ID {prompt_id}"} | |
except Exception as e: | |
logging.error(f"Error in get_specific_prompt: {str(e)}") | |
return {'error': f"Error retrieving prompt: {str(e)}"} | |
def delete_specific_transcript(transcript_id: int) -> str: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute('DELETE FROM Transcripts WHERE id = ?', (transcript_id,)) | |
conn.commit() | |
if cursor.rowcount > 0: | |
return f"Transcript with ID {transcript_id} has been deleted successfully." | |
else: | |
return f"No transcript found with ID {transcript_id}." | |
except Exception as e: | |
logging.error(f"Error in delete_specific_transcript: {str(e)}") | |
return f"Error deleting transcript: {str(e)}" | |
def delete_specific_summary(summary_id: int) -> str: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute('UPDATE MediaModifications SET summary = NULL WHERE id = ?', (summary_id,)) | |
conn.commit() | |
if cursor.rowcount > 0: | |
return f"Summary with ID {summary_id} has been deleted successfully." | |
else: | |
return f"No summary found with ID {summary_id}." | |
except Exception as e: | |
logging.error(f"Error in delete_specific_summary: {str(e)}") | |
return f"Error deleting summary: {str(e)}" | |
def delete_specific_prompt(prompt_id: int) -> str: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute('UPDATE MediaModifications SET prompt = NULL WHERE id = ?', (prompt_id,)) | |
conn.commit() | |
if cursor.rowcount > 0: | |
return f"Prompt with ID {prompt_id} has been deleted successfully." | |
else: | |
return f"No prompt found with ID {prompt_id}." | |
except Exception as e: | |
logging.error(f"Error in delete_specific_prompt: {str(e)}") | |
return f"Error deleting prompt: {str(e)}" | |
def get_paginated_files(page: int = 1, results_per_page: int = 50) -> Tuple[List[Tuple[int, str]], int, int]: | |
try: | |
offset = (page - 1) * results_per_page | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
# Get total count of media items | |
cursor.execute("SELECT COUNT(*) FROM Media") | |
total_entries = cursor.fetchone()[0] | |
# Fetch paginated results | |
cursor.execute(""" | |
SELECT id, title | |
FROM Media | |
ORDER BY title | |
LIMIT ? OFFSET ? | |
""", (results_per_page, offset)) | |
results = cursor.fetchall() | |
# Calculate total pages | |
total_pages = (total_entries + results_per_page - 1) // results_per_page | |
return results, total_pages, page | |
except sqlite3.Error as e: | |
logging.error(f"Error fetching paginated files: {e}") | |
raise DatabaseError(f"Error fetching paginated files: {e}") | |
# | |
# End of Functions to handle deletion of media items | |
####################################################################################################################### | |
####################################################################################################################### | |
# | |
# Functions to manage document versions | |
def create_document_version(media_id: int, content: str) -> int: | |
logging.info(f"Attempting to create document version for media_id: {media_id}") | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
# Start a transaction | |
cursor.execute("BEGIN EXCLUSIVE TRANSACTION") | |
try: | |
# Verify media_id exists and get the latest version in one query | |
cursor.execute(''' | |
SELECT m.id, COALESCE(MAX(dv.version_number), 0) | |
FROM Media m | |
LEFT JOIN DocumentVersions dv ON m.id = dv.media_id | |
WHERE m.id = ? | |
GROUP BY m.id | |
''', (media_id,)) | |
result = cursor.fetchone() | |
if not result: | |
raise ValueError(f"No Media entry found for id: {media_id}") | |
_, latest_version = result | |
new_version = latest_version + 1 | |
logging.debug(f"Inserting new version {new_version} for media_id: {media_id}") | |
# Insert new version | |
cursor.execute(''' | |
INSERT INTO DocumentVersions (media_id, version_number, content) | |
VALUES (?, ?, ?) | |
''', (media_id, new_version, content)) | |
# Commit the transaction | |
conn.commit() | |
logging.info(f"Successfully created document version {new_version} for media_id: {media_id}") | |
return new_version | |
except Exception as e: | |
# If any error occurs, roll back the transaction | |
conn.rollback() | |
raise e | |
except sqlite3.Error as e: | |
logging.error(f"Database error creating document version: {e}") | |
logging.error(f"Error details - media_id: {media_id}, content length: {len(content)}") | |
raise DatabaseError(f"Failed to create document version: {e}") | |
except Exception as e: | |
logging.error(f"Unexpected error creating document version: {e}") | |
logging.error(f"Error details - media_id: {media_id}, content length: {len(content)}") | |
raise | |
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 {'error': f"No document version found for media_id {media_id}" + (f" and version_number {version_number}" if version_number is not None else "")} | |
except sqlite3.Error as e: | |
error_message = f"Error retrieving document version: {e}" | |
logging.error(error_message) | |
return {'error': error_message} | |
def get_all_document_versions(media_id: int) -> List[Dict[str, Any]]: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute(''' | |
SELECT id, version_number, content, created_at | |
FROM DocumentVersions | |
WHERE media_id = ? | |
ORDER BY version_number DESC | |
''', (media_id,)) | |
results = cursor.fetchall() | |
if results: | |
return [ | |
{ | |
'id': row[0], | |
'version_number': row[1], | |
'content': row[2], | |
'created_at': row[3] | |
} | |
for row in results | |
] | |
else: | |
return [] | |
except sqlite3.Error as e: | |
error_message = f"Error retrieving all document versions: {e}" | |
logging.error(error_message) | |
return [{'error': error_message}] | |
def delete_document_version(media_id: int, version_number: int) -> Dict[str, Any]: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute(''' | |
DELETE FROM DocumentVersions | |
WHERE media_id = ? AND version_number = ? | |
''', (media_id, version_number)) | |
conn.commit() | |
if cursor.rowcount > 0: | |
return {'success': f"Document version {version_number} for media_id {media_id} deleted successfully"} | |
else: | |
return {'error': f"No document version found for media_id {media_id} and version_number {version_number}"} | |
except sqlite3.Error as e: | |
error_message = f"Error deleting document version: {e}" | |
logging.error(error_message) | |
return {'error': error_message} | |
def rollback_to_version(media_id: int, version_number: int) -> Dict[str, Any]: | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
# Get the content of the version to rollback to | |
cursor.execute(''' | |
SELECT content | |
FROM DocumentVersions | |
WHERE media_id = ? AND version_number = ? | |
''', (media_id, version_number)) | |
result = cursor.fetchone() | |
if not result: | |
return {'error': f"No document version found for media_id {media_id} and version_number {version_number}"} | |
rollback_content = result[0] | |
# Create a new version with the content of the version to rollback to | |
cursor.execute(''' | |
INSERT INTO DocumentVersions (media_id, version_number, content) | |
VALUES (?, (SELECT COALESCE(MAX(version_number), 0) + 1 FROM DocumentVersions WHERE media_id = ?), ?) | |
''', (media_id, media_id, rollback_content)) | |
new_version_number = cursor.lastrowid | |
conn.commit() | |
return { | |
'success': f"Rolled back to version {version_number} for media_id {media_id}", | |
'new_version_number': new_version_number | |
} | |
except sqlite3.Error as e: | |
error_message = f"Error rolling back to document version: {e}" | |
logging.error(error_message) | |
return {'error': error_message} | |
# | |
# End of Functions to manage document versions | |
####################################################################################################################### | |
####################################################################################################################### | |
# | |
# Functions to manage media chunks | |
def process_chunks(database, chunks: List[Dict], media_id: int, batch_size: int = 100): | |
""" | |
Process chunks in batches and insert them into the database. | |
:param database: Database instance to use for inserting chunks | |
:param chunks: List of chunk dictionaries | |
:param media_id: ID of the media these chunks belong to | |
:param batch_size: Number of chunks to process in each batch | |
""" | |
total_chunks = len(chunks) | |
processed_chunks = 0 | |
for i in range(0, total_chunks, batch_size): | |
batch = chunks[i:i + batch_size] | |
chunk_data = [ | |
(media_id, chunk['text'], chunk['start_index'], chunk['end_index']) | |
for chunk in batch | |
] | |
try: | |
database.execute_many( | |
"INSERT INTO MediaChunks (media_id, chunk_text, start_index, end_index) VALUES (?, ?, ?, ?)", | |
chunk_data | |
) | |
processed_chunks += len(batch) | |
logging.info(f"Processed {processed_chunks}/{total_chunks} chunks for media_id {media_id}") | |
except Exception as e: | |
logging.error(f"Error inserting chunk batch for media_id {media_id}: {e}") | |
# Optionally, you could raise an exception here to stop processing | |
# raise | |
logging.info(f"Finished processing all {total_chunks} chunks for media_id {media_id}") | |
# Usage example: | |
# chunks = [{'text': 'chunk1', 'start_index': 0, 'end_index': 10}, ...] | |
# process_chunks(db, chunks, media_id=1, batch_size=100) | |
def batch_insert_chunks(conn, chunks, media_id): | |
cursor = conn.cursor() | |
chunk_data = [( | |
media_id, | |
chunk['text'], | |
chunk['metadata']['start_index'], | |
chunk['metadata']['end_index'], | |
f"{media_id}_chunk_{i}" | |
) for i, chunk in enumerate(chunks, 1)] | |
cursor.executemany(''' | |
INSERT INTO MediaChunks (media_id, chunk_text, start_index, end_index, chunk_id) | |
VALUES (?, ?, ?, ?, ?) | |
''', chunk_data) | |
chunk_queue = queue.Queue() | |
def chunk_processor(): | |
while True: | |
chunk_batch = chunk_queue.get() | |
if chunk_batch is None: | |
break | |
try: | |
with db.get_connection() as conn: | |
conn.execute("BEGIN TRANSACTION") | |
try: | |
batch_insert_chunks(conn, chunk_batch['chunks'], chunk_batch['media_id']) | |
conn.commit() | |
except Exception as e: | |
conn.rollback() | |
logging.error(f"Error in batch insert: {str(e)}") | |
except Exception as e: | |
logging.error(f"Error processing chunk batch: {str(e)}") | |
finally: | |
chunk_queue.task_done() | |
# Start the chunk processor thread | |
#chunk_processor_thread = threading.Thread(target=chunk_processor) | |
#chunk_processor_thread.start() | |
# Make sure to properly shut down the chunk processor when your application exits | |
# def shutdown_chunk_processor(): | |
# chunk_queue.put(None) | |
# chunk_processor_thread.join() | |
#FIXME - add into main db creation code | |
def update_media_chunks_table(): | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
cursor.execute(''' | |
CREATE TABLE IF NOT EXISTS MediaChunks_new ( | |
id INTEGER PRIMARY KEY AUTOINCREMENT, | |
media_id INTEGER, | |
chunk_text TEXT, | |
start_index INTEGER, | |
end_index INTEGER, | |
chunk_id TEXT, | |
FOREIGN KEY (media_id) REFERENCES Media(id) | |
) | |
''') | |
cursor.execute(''' | |
INSERT INTO MediaChunks_new (media_id, chunk_text, start_index, end_index) | |
SELECT media_id, chunk_text, start_index, end_index FROM MediaChunks | |
''') | |
cursor.execute('DROP TABLE MediaChunks') | |
cursor.execute('ALTER TABLE MediaChunks_new RENAME TO MediaChunks') | |
logger.info("Updated MediaChunks table schema") | |
update_media_chunks_table() | |
# Above function is a dirty hack that should be merged into the initial DB creation statement. This is a placeholder | |
# FIXME | |
# This is backwards compatibility for older setups. | |
# Function to add a missing column to the Media table | |
def add_missing_column_if_not_exists(db, table_name, column_name, column_definition): | |
try: | |
# Check if the column already exists in the table | |
cursor = db.cursor() | |
cursor.execute(f"PRAGMA table_info({table_name})") | |
columns = [column[1] for column in cursor.fetchall()] | |
# If the column is not found, add it | |
if column_name not in columns: | |
logging.info(f"Adding missing column '{column_name}' to table '{table_name}'") | |
cursor.execute(f"ALTER TABLE {table_name} ADD COLUMN {column_definition}") | |
db.commit() | |
logging.info(f"Column '{column_name}' added successfully.") | |
else: | |
logging.info(f"Column '{column_name}' already exists in table '{table_name}'") | |
except sqlite3.Error as e: | |
logging.error(f"Error checking or adding column '{column_name}' in table '{table_name}': {e}") | |
raise | |
# Example usage of the function | |
def update_media_table(db): | |
# Add chunking_status column if it doesn't exist | |
add_missing_column_if_not_exists(db, 'Media', 'chunking_status', "TEXT DEFAULT 'pending'") | |
# | |
# End of Functions to manage media chunks | |
####################################################################################################################### | |
####################################################################################################################### | |
# | |
# Workflow Functions | |
def save_workflow_chat_to_db(chat_history, workflow_name, conversation_id=None): | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
if conversation_id is None: | |
# Create a new conversation | |
conversation_name = f"{workflow_name}_Workflow_{datetime.now().strftime('%Y%m%d_%H%M%S')}" | |
cursor.execute(''' | |
INSERT INTO ChatConversations (media_id, media_name, conversation_name, created_at, updated_at) | |
VALUES (NULL, ?, ?, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP) | |
''', (workflow_name, conversation_name)) | |
conversation_id = cursor.lastrowid | |
else: | |
# Update existing conversation | |
cursor.execute(''' | |
UPDATE ChatConversations | |
SET updated_at = CURRENT_TIMESTAMP | |
WHERE id = ? | |
''', (conversation_id,)) | |
# Save messages | |
for user_msg, ai_msg in chat_history: | |
if user_msg: | |
cursor.execute(''' | |
INSERT INTO ChatMessages (conversation_id, sender, message, timestamp) | |
VALUES (?, 'user', ?, CURRENT_TIMESTAMP) | |
''', (conversation_id, user_msg)) | |
if ai_msg: | |
cursor.execute(''' | |
INSERT INTO ChatMessages (conversation_id, sender, message, timestamp) | |
VALUES (?, 'ai', ?, CURRENT_TIMESTAMP) | |
''', (conversation_id, ai_msg)) | |
conn.commit() | |
return conversation_id, f"Chat saved successfully! Conversation ID: {conversation_id}" | |
except Exception as e: | |
logging.error(f"Error saving workflow chat to database: {str(e)}") | |
return None, f"Error saving chat to database: {str(e)}" | |
def get_workflow_chat(conversation_id): | |
""" | |
Retrieve a workflow chat from the database. | |
Args: | |
conversation_id: ID of the conversation to retrieve | |
Returns: | |
tuple: (chat_history, workflow_name, status_message) | |
""" | |
try: | |
with db.get_connection() as conn: | |
cursor = conn.cursor() | |
# Get conversation details | |
cursor.execute(''' | |
SELECT media_name, conversation_name FROM ChatConversations | |
WHERE id = ? | |
''', (conversation_id,)) | |
result = cursor.fetchone() | |
if not result: | |
return None, None, "Conversation not found" | |
workflow_name, conversation_name = result | |
# Get chat messages | |
cursor.execute(''' | |
SELECT sender, message FROM ChatMessages | |
WHERE conversation_id = ? | |
ORDER BY timestamp | |
''', (conversation_id,)) | |
messages = cursor.fetchall() | |
chat_history = [] | |
for sender, message in messages: | |
if sender == 'user': | |
chat_history.append((message, None)) | |
else: | |
if chat_history and chat_history[-1][1] is None: | |
chat_history[-1] = (chat_history[-1][0], message) | |
else: | |
chat_history.append((None, message)) | |
return chat_history, workflow_name, f"Chat retrieved successfully" | |
except Exception as e: | |
logging.error(f"Error retrieving workflow chat from database: {str(e)}") | |
return None, None, f"Error retrieving chat from database: {str(e)}" | |
# | |
# End of Workflow Functions | |
####################################################################################################################### | |