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# Export_Functionality.py
# Functionality for exporting items as markdown files
import os
import json
import math
import logging
import shutil
import tempfile
from typing import List, Dict, Optional, Tuple, Any
import gradio as gr
from App_Function_Libraries.DB.DB_Manager import DatabaseError, fetch_all_notes, fetch_all_conversations, \
get_keywords_for_note, fetch_notes_by_ids, fetch_conversations_by_ids
from App_Function_Libraries.DB.RAG_QA_Chat_DB import get_keywords_for_conversation
from App_Function_Libraries.Gradio_UI.Gradio_Shared import fetch_item_details, fetch_items_by_keyword, browse_items
logger = logging.getLogger(__name__)
def export_item_as_markdown(media_id: int) -> Tuple[Optional[str], str]:
try:
content, prompt, summary = fetch_item_details(media_id)
title = f"Item {media_id}" # You might want to fetch the actual title
markdown_content = f"# {title}\n\n## Prompt\n{prompt}\n\n## Summary\n{summary}\n\n## Content\n{content}"
filename = f"export_item_{media_id}.md"
with open(filename, "w", encoding='utf-8') as f:
f.write(markdown_content)
logger.info(f"Successfully exported item {media_id} to {filename}")
return filename, f"Successfully exported item {media_id} to {filename}"
except Exception as e:
error_message = f"Error exporting item {media_id}: {str(e)}"
logger.error(error_message)
return None, error_message
def export_items_by_keyword(keyword: str) -> str:
try:
items = fetch_items_by_keyword(keyword)
if not items:
logger.warning(f"No items found for keyword: {keyword}")
return f"No items found for keyword: {keyword}"
# Create a temporary directory to store individual markdown files
with tempfile.TemporaryDirectory() as temp_dir:
folder_name = f"export_keyword_{keyword}"
export_folder = os.path.join(temp_dir, folder_name)
os.makedirs(export_folder)
for item in items:
content, prompt, summary = fetch_item_details(item['id'])
markdown_content = f"# {item['title']}\n\n## Prompt\n{prompt}\n\n## Summary\n{summary}\n\n## Content\n{content}"
# Create individual markdown file for each item
file_name = f"{item['id']}_{item['title'][:50]}.md" # Limit filename length
file_path = os.path.join(export_folder, file_name)
with open(file_path, "w", encoding='utf-8') as f:
f.write(markdown_content)
# Create a zip file containing all markdown files
zip_filename = f"{folder_name}.zip"
shutil.make_archive(os.path.join(temp_dir, folder_name), 'zip', export_folder)
# Move the zip file to a location accessible by Gradio
final_zip_path = os.path.join(os.getcwd(), zip_filename)
shutil.move(os.path.join(temp_dir, zip_filename), final_zip_path)
logger.info(f"Successfully exported {len(items)} items for keyword '{keyword}' to {zip_filename}")
return final_zip_path
except Exception as e:
logger.error(f"Error exporting items for keyword '{keyword}': {str(e)}")
return f"Error exporting items for keyword '{keyword}': {str(e)}"
def export_selected_items(selected_items: List[Dict]) -> Tuple[Optional[str], str]:
try:
logger.debug(f"Received selected_items: {selected_items}")
if not selected_items:
logger.warning("No items selected for export")
return None, "No items selected for export"
markdown_content = "# Selected Items\n\n"
for item in selected_items:
logger.debug(f"Processing item: {item}")
try:
# Check if 'value' is a string (JSON) or already a dictionary
if isinstance(item, str):
item_data = json.loads(item)
elif isinstance(item, dict) and 'value' in item:
item_data = item['value'] if isinstance(item['value'], dict) else json.loads(item['value'])
else:
item_data = item
logger.debug(f"Item data after processing: {item_data}")
if 'id' not in item_data:
logger.error(f"'id' not found in item data: {item_data}")
continue
content, prompt, summary = fetch_item_details(item_data['id'])
markdown_content += f"## {item_data.get('title', 'Item {}'.format(item_data['id']))}\n\n### Prompt\n{prompt}\n\n### Summary\n{summary}\n\n### Content\n{content}\n\n---\n\n"
except Exception as e:
logger.error(f"Error processing item {item}: {str(e)}")
markdown_content += f"## Error\n\nUnable to process this item.\n\n---\n\n"
filename = "export_selected_items.md"
with open(filename, "w", encoding='utf-8') as f:
f.write(markdown_content)
logger.info(f"Successfully exported {len(selected_items)} selected items to {filename}")
return filename, f"Successfully exported {len(selected_items)} items to {filename}"
except Exception as e:
error_message = f"Error exporting selected items: {str(e)}"
logger.error(error_message)
return None, error_message
def display_search_results_export_tab(search_query: str, search_type: str, page: int = 1, items_per_page: int = 10):
logger.info(f"Searching with query: '{search_query}', type: '{search_type}', page: {page}")
try:
results = browse_items(search_query, search_type)
logger.info(f"browse_items returned {len(results)} results")
if not results:
return [], f"No results found for query: '{search_query}'", 1, 1
total_pages = math.ceil(len(results) / items_per_page)
start_index = (page - 1) * items_per_page
end_index = start_index + items_per_page
paginated_results = results[start_index:end_index]
checkbox_data = [
{
"name": f"Name: {item[1]}\nURL: {item[2]}",
"value": {"id": item[0], "title": item[1], "url": item[2]}
}
for item in paginated_results
]
logger.info(f"Returning {len(checkbox_data)} items for checkbox (page {page} of {total_pages})")
return checkbox_data, f"Found {len(results)} results (showing page {page} of {total_pages})", page, total_pages
except DatabaseError as e:
error_message = f"Error in display_search_results_export_tab: {str(e)}"
logger.error(error_message)
return [], error_message, 1, 1
except Exception as e:
error_message = f"Unexpected error in display_search_results_export_tab: {str(e)}"
logger.error(error_message)
return [], error_message, 1, 1
#
# End of Media DB Export functionality
################################################################
################################################################
#
# Functions for RAG Chat DB Export functionality
def export_rag_conversations_as_json(
selected_conversations: Optional[List[Dict[str, Any]]] = None
) -> Tuple[Optional[str], str]:
"""
Export conversations to a JSON file.
Args:
selected_conversations: Optional list of conversation dictionaries
Returns:
Tuple of (filename or None, status message)
"""
try:
if selected_conversations:
# Extract conversation IDs from selected items
conversation_ids = []
for item in selected_conversations:
if isinstance(item, str):
item_data = json.loads(item)
elif isinstance(item, dict) and 'value' in item:
item_data = item['value'] if isinstance(item['value'], dict) else json.loads(item['value'])
else:
item_data = item
conversation_ids.append(item_data['conversation_id'])
conversations = fetch_conversations_by_ids(conversation_ids)
else:
conversations = fetch_all_conversations()
export_data = []
for conversation_id, title, messages in conversations:
# Get keywords for the conversation
keywords = get_keywords_for_conversation(conversation_id)
conversation_data = {
"conversation_id": conversation_id,
"title": title,
"keywords": keywords,
"messages": [
{"role": role, "content": content}
for role, content in messages
]
}
export_data.append(conversation_data)
filename = "rag_conversations_export.json"
with open(filename, "w", encoding='utf-8') as f:
json.dump(export_data, f, indent=2, ensure_ascii=False)
logger.info(f"Successfully exported {len(export_data)} conversations to {filename}")
return filename, f"Successfully exported {len(export_data)} conversations to {filename}"
except Exception as e:
error_message = f"Error exporting conversations: {str(e)}"
logger.error(error_message)
return None, error_message
def export_rag_notes_as_json(
selected_notes: Optional[List[Dict[str, Any]]] = None
) -> Tuple[Optional[str], str]:
"""
Export notes to a JSON file.
Args:
selected_notes: Optional list of note dictionaries
Returns:
Tuple of (filename or None, status message)
"""
try:
if selected_notes:
# Extract note IDs from selected items
note_ids = []
for item in selected_notes:
if isinstance(item, str):
item_data = json.loads(item)
elif isinstance(item, dict) and 'value' in item:
item_data = item['value'] if isinstance(item['value'], dict) else json.loads(item['value'])
else:
item_data = item
note_ids.append(item_data['id'])
notes = fetch_notes_by_ids(note_ids)
else:
notes = fetch_all_notes()
export_data = []
for note_id, title, content in notes:
# Get keywords for the note
keywords = get_keywords_for_note(note_id)
note_data = {
"note_id": note_id,
"title": title,
"content": content,
"keywords": keywords
}
export_data.append(note_data)
filename = "rag_notes_export.json"
with open(filename, "w", encoding='utf-8') as f:
json.dump(export_data, f, indent=2, ensure_ascii=False)
logger.info(f"Successfully exported {len(export_data)} notes to {filename}")
return filename, f"Successfully exported {len(export_data)} notes to {filename}"
except Exception as e:
error_message = f"Error exporting notes: {str(e)}"
logger.error(error_message)
return None, error_message
def display_rag_conversations(search_query: str = "", page: int = 1, items_per_page: int = 10):
"""Display conversations for selection in the export tab."""
try:
conversations = fetch_all_conversations()
if search_query:
# Simple search implementation - can be enhanced based on needs
conversations = [
conv for conv in conversations
if search_query.lower() in conv[1].lower() # Search in title
]
# Implement pagination
start_idx = (page - 1) * items_per_page
end_idx = start_idx + items_per_page
paginated_conversations = conversations[start_idx:end_idx]
total_pages = (len(conversations) + items_per_page - 1) // items_per_page
# Format for checkbox group
checkbox_data = [
{
"name": f"Title: {title}\nMessages: {len(messages)}",
"value": {"conversation_id": conv_id, "title": title}
}
for conv_id, title, messages in paginated_conversations
]
return (
checkbox_data,
f"Found {len(conversations)} conversations (showing page {page} of {total_pages})",
page,
total_pages
)
except Exception as e:
error_message = f"Error displaying conversations: {str(e)}"
logger.error(error_message)
return [], error_message, 1, 1
def display_rag_notes(search_query: str = "", page: int = 1, items_per_page: int = 10):
"""Display notes for selection in the export tab."""
try:
notes = fetch_all_notes()
if search_query:
# Simple search implementation - can be enhanced based on needs
notes = [
note for note in notes
if search_query.lower() in note[1].lower() # Search in title
or search_query.lower() in note[2].lower() # Search in content
]
# Implement pagination
start_idx = (page - 1) * items_per_page
end_idx = start_idx + items_per_page
paginated_notes = notes[start_idx:end_idx]
total_pages = (len(notes) + items_per_page - 1) // items_per_page
# Format for checkbox group
checkbox_data = [
{
"name": f"Title: {title}\nContent preview: {content[:100]}...",
"value": {"id": note_id, "title": title}
}
for note_id, title, content in paginated_notes
]
return (
checkbox_data,
f"Found {len(notes)} notes (showing page {page} of {total_pages})",
page,
total_pages
)
except Exception as e:
error_message = f"Error displaying notes: {str(e)}"
logger.error(error_message)
return [], error_message, 1, 1
def create_rag_export_tab():
"""Create the RAG QA Chat export tab interface."""
with gr.Tab("RAG QA Chat Export"):
with gr.Tabs():
# Conversations Export Tab
with gr.Tab("Export Conversations"):
with gr.Row():
with gr.Column():
gr.Markdown("## Export RAG QA Chat Conversations")
conversation_search = gr.Textbox(label="Search Conversations")
conversation_search_button = gr.Button("Search")
with gr.Column():
conversation_prev_button = gr.Button("Previous Page")
conversation_next_button = gr.Button("Next Page")
conversation_current_page = gr.State(1)
conversation_total_pages = gr.State(1)
conversation_results = gr.CheckboxGroup(label="Select Conversations to Export")
export_selected_conversations_button = gr.Button("Export Selected Conversations")
export_all_conversations_button = gr.Button("Export All Conversations")
conversation_export_output = gr.File(label="Download Exported Conversations")
conversation_status = gr.Textbox(label="Status", interactive=False)
# Notes Export Tab
with gr.Tab("Export Notes"):
with gr.Row():
with gr.Column():
gr.Markdown("## Export RAG QA Chat Notes")
notes_search = gr.Textbox(label="Search Notes")
notes_search_button = gr.Button("Search")
with gr.Column():
notes_prev_button = gr.Button("Previous Page")
notes_next_button = gr.Button("Next Page")
notes_current_page = gr.State(1)
notes_total_pages = gr.State(1)
notes_results = gr.CheckboxGroup(label="Select Notes to Export")
export_selected_notes_button = gr.Button("Export Selected Notes")
export_all_notes_button = gr.Button("Export All Notes")
notes_export_output = gr.File(label="Download Exported Notes")
notes_status = gr.Textbox(label="Status", interactive=False)
# Event handlers for conversations
def search_conversations(query, page):
return display_rag_conversations(query, page)
conversation_search_button.click(
fn=search_conversations,
inputs=[conversation_search, conversation_current_page],
outputs=[conversation_results, conversation_status, conversation_current_page, conversation_total_pages]
)
def update_conversation_page(current, total, direction):
new_page = max(1, min(total, current + direction))
return new_page
conversation_prev_button.click(
fn=update_conversation_page,
inputs=[conversation_current_page, conversation_total_pages, gr.State(-1)],
outputs=[conversation_current_page]
).then(
fn=search_conversations,
inputs=[conversation_search, conversation_current_page],
outputs=[conversation_results, conversation_status, conversation_current_page, conversation_total_pages]
)
conversation_next_button.click(
fn=update_conversation_page,
inputs=[conversation_current_page, conversation_total_pages, gr.State(1)],
outputs=[conversation_current_page]
).then(
fn=search_conversations,
inputs=[conversation_search, conversation_current_page],
outputs=[conversation_results, conversation_status, conversation_current_page, conversation_total_pages]
)
export_selected_conversations_button.click(
fn=export_rag_conversations_as_json,
inputs=[conversation_results],
outputs=[conversation_export_output, conversation_status]
)
export_all_conversations_button.click(
fn=lambda: export_rag_conversations_as_json(),
outputs=[conversation_export_output, conversation_status]
)
# Event handlers for notes
def search_notes(query, page):
return display_rag_notes(query, page)
notes_search_button.click(
fn=search_notes,
inputs=[notes_search, notes_current_page],
outputs=[notes_results, notes_status, notes_current_page, notes_total_pages]
)
def update_notes_page(current, total, direction):
new_page = max(1, min(total, current + direction))
return new_page
notes_prev_button.click(
fn=update_notes_page,
inputs=[notes_current_page, notes_total_pages, gr.State(-1)],
outputs=[notes_current_page]
).then(
fn=search_notes,
inputs=[notes_search, notes_current_page],
outputs=[notes_results, notes_status, notes_current_page, notes_total_pages]
)
notes_next_button.click(
fn=update_notes_page,
inputs=[notes_current_page, notes_total_pages, gr.State(1)],
outputs=[notes_current_page]
).then(
fn=search_notes,
inputs=[notes_search, notes_current_page],
outputs=[notes_results, notes_status, notes_current_page, notes_total_pages]
)
export_selected_notes_button.click(
fn=export_rag_notes_as_json,
inputs=[notes_results],
outputs=[notes_export_output, notes_status]
)
export_all_notes_button.click(
fn=lambda: export_rag_notes_as_json(),
outputs=[notes_export_output, notes_status]
)
#
# End of RAG Chat DB Export functionality
#####################################################
def create_export_tabs():
"""Create the unified export interface with all export tabs."""
with gr.Tabs():
# Media DB Export Tab
with gr.Tab("Media DB Export"):
with gr.Row():
with gr.Column():
gr.Markdown("# Search and Export Items")
gr.Markdown("Search for items and export them as markdown files")
gr.Markdown("You can also export items by keyword")
search_query = gr.Textbox(label="Search Query")
search_type = gr.Radio(["Title", "URL", "Keyword", "Content"], label="Search By")
search_button = gr.Button("Search")
with gr.Column():
prev_button = gr.Button("Previous Page")
next_button = gr.Button("Next Page")
current_page = gr.State(1)
total_pages = gr.State(1)
search_results = gr.CheckboxGroup(label="Search Results", choices=[])
export_selected_button = gr.Button("Export Selected Items")
keyword_input = gr.Textbox(label="Enter keyword for export")
export_by_keyword_button = gr.Button("Export items by keyword")
export_output = gr.File(label="Download Exported File")
error_output = gr.Textbox(label="Status/Error Messages", interactive=False)
# Conversations Export Tab
with gr.Tab("RAG Conversations Export"):
with gr.Row():
with gr.Column():
gr.Markdown("## Export RAG QA Chat Conversations")
conversation_search = gr.Textbox(label="Search Conversations")
conversation_search_button = gr.Button("Search")
with gr.Column():
conversation_prev_button = gr.Button("Previous Page")
conversation_next_button = gr.Button("Next Page")
conversation_current_page = gr.State(1)
conversation_total_pages = gr.State(1)
conversation_results = gr.CheckboxGroup(label="Select Conversations to Export")
export_selected_conversations_button = gr.Button("Export Selected Conversations")
export_all_conversations_button = gr.Button("Export All Conversations")
conversation_export_output = gr.File(label="Download Exported Conversations")
conversation_status = gr.Textbox(label="Status", interactive=False)
# Notes Export Tab
with gr.Tab("RAG Notes Export"):
with gr.Row():
with gr.Column():
gr.Markdown("## Export RAG QA Chat Notes")
notes_search = gr.Textbox(label="Search Notes")
notes_search_button = gr.Button("Search")
with gr.Column():
notes_prev_button = gr.Button("Previous Page")
notes_next_button = gr.Button("Next Page")
notes_current_page = gr.State(1)
notes_total_pages = gr.State(1)
notes_results = gr.CheckboxGroup(label="Select Notes to Export")
export_selected_notes_button = gr.Button("Export Selected Notes")
export_all_notes_button = gr.Button("Export All Notes")
notes_export_output = gr.File(label="Download Exported Notes")
notes_status = gr.Textbox(label="Status", interactive=False)
# Event handlers for media DB
def search_and_update(query, search_type, page):
results, message, current, total = display_search_results_export_tab(query, search_type, page)
logger.debug(f"search_and_update results: {results}")
return results, message, current, total, gr.update(choices=results)
def update_page(current, total, direction):
new_page = max(1, min(total, current + direction))
return new_page
def handle_export_selected(selected_items):
logger.debug(f"Exporting selected items: {selected_items}")
return export_selected_items(selected_items)
def handle_item_selection(selected_items):
logger.debug(f"Selected items: {selected_items}")
if not selected_items:
return None, "No item selected"
try:
selected_item = selected_items[0]
logger.debug(f"First selected item: {selected_item}")
if isinstance(selected_item['value'], str):
item_data = json.loads(selected_item['value'])
else:
item_data = selected_item['value']
logger.debug(f"Item data: {item_data}")
item_id = item_data['id']
return export_item_as_markdown(item_id)
except Exception as e:
error_message = f"Error processing selected item: {str(e)}"
logger.error(error_message)
return None, error_message
search_button.click(
fn=search_and_update,
inputs=[search_query, search_type, current_page],
outputs=[search_results, error_output, current_page, total_pages, search_results],
show_progress="full"
)
prev_button.click(
fn=update_page,
inputs=[current_page, total_pages, gr.State(-1)],
outputs=[current_page]
).then(
fn=search_and_update,
inputs=[search_query, search_type, current_page],
outputs=[search_results, error_output, current_page, total_pages],
show_progress=True
)
next_button.click(
fn=update_page,
inputs=[current_page, total_pages, gr.State(1)],
outputs=[current_page]
).then(
fn=search_and_update,
inputs=[search_query, search_type, current_page],
outputs=[search_results, error_output, current_page, total_pages],
show_progress=True
)
export_selected_button.click(
fn=handle_export_selected,
inputs=[search_results],
outputs=[export_output, error_output],
show_progress="full"
)
export_by_keyword_button.click(
fn=export_items_by_keyword,
inputs=[keyword_input],
outputs=[export_output, error_output],
show_progress="full"
)
search_results.select(
fn=handle_item_selection,
inputs=[search_results],
outputs=[export_output, error_output],
show_progress="full"
)
# Event handlers for conversations
def search_conversations(query, page):
return display_rag_conversations(query, page)
def update_conversation_page(current, total, direction):
new_page = max(1, min(total, current + direction))
return new_page
conversation_search_button.click(
fn=search_conversations,
inputs=[conversation_search, conversation_current_page],
outputs=[conversation_results, conversation_status, conversation_current_page, conversation_total_pages]
)
conversation_prev_button.click(
fn=update_conversation_page,
inputs=[conversation_current_page, conversation_total_pages, gr.State(-1)],
outputs=[conversation_current_page]
).then(
fn=search_conversations,
inputs=[conversation_search, conversation_current_page],
outputs=[conversation_results, conversation_status, conversation_current_page, conversation_total_pages]
)
conversation_next_button.click(
fn=update_conversation_page,
inputs=[conversation_current_page, conversation_total_pages, gr.State(1)],
outputs=[conversation_current_page]
).then(
fn=search_conversations,
inputs=[conversation_search, conversation_current_page],
outputs=[conversation_results, conversation_status, conversation_current_page, conversation_total_pages]
)
export_selected_conversations_button.click(
fn=export_rag_conversations_as_json,
inputs=[conversation_results],
outputs=[conversation_export_output, conversation_status]
)
export_all_conversations_button.click(
fn=lambda: export_rag_conversations_as_json(),
outputs=[conversation_export_output, conversation_status]
)
# Event handlers for notes
def search_notes(query, page):
return display_rag_notes(query, page)
def update_notes_page(current, total, direction):
new_page = max(1, min(total, current + direction))
return new_page
notes_search_button.click(
fn=search_notes,
inputs=[notes_search, notes_current_page],
outputs=[notes_results, notes_status, notes_current_page, notes_total_pages]
)
notes_prev_button.click(
fn=update_notes_page,
inputs=[notes_current_page, notes_total_pages, gr.State(-1)],
outputs=[notes_current_page]
).then(
fn=search_notes,
inputs=[notes_search, notes_current_page],
outputs=[notes_results, notes_status, notes_current_page, notes_total_pages]
)
notes_next_button.click(
fn=update_notes_page,
inputs=[notes_current_page, notes_total_pages, gr.State(1)],
outputs=[notes_current_page]
).then(
fn=search_notes,
inputs=[notes_search, notes_current_page],
outputs=[notes_results, notes_status, notes_current_page, notes_total_pages]
)
export_selected_notes_button.click(
fn=export_rag_notes_as_json,
inputs=[notes_results],
outputs=[notes_export_output, notes_status]
)
export_all_notes_button.click(
fn=lambda: export_rag_notes_as_json(),
outputs=[notes_export_output, notes_status]
)
with gr.TabItem("Export Prompts", visible=True):
gr.Markdown("# Export Prompts Database Content")
with gr.Row():
with gr.Column():
export_type = gr.Radio(
choices=["All Prompts", "Prompts by Keyword"],
label="Export Type",
value="All Prompts"
)
# Keyword selection for filtered export
with gr.Column(visible=False) as keyword_col:
keyword_input = gr.Textbox(
label="Enter Keywords (comma-separated)",
placeholder="Enter keywords to filter prompts..."
)
# Export format selection
export_format = gr.Radio(
choices=["CSV", "Markdown (ZIP)"],
label="Export Format",
value="CSV"
)
# Export options
include_options = gr.CheckboxGroup(
choices=[
"Include System Prompts",
"Include User Prompts",
"Include Details",
"Include Author",
"Include Keywords"
],
label="Export Options",
value=["Include Keywords", "Include Author"]
)
# Markdown-specific options (only visible when Markdown is selected)
with gr.Column(visible=False) as markdown_options_col:
markdown_template = gr.Radio(
choices=[
"Basic Template",
"Detailed Template",
"Custom Template"
],
label="Markdown Template",
value="Basic Template"
)
custom_template = gr.Textbox(
label="Custom Template",
placeholder="Use {title}, {author}, {details}, {system}, {user}, {keywords} as placeholders",
visible=False
)
export_button = gr.Button("Export Prompts")
with gr.Column():
export_status = gr.Textbox(label="Export Status", interactive=False)
export_file = gr.File(label="Download Export")
def update_ui_visibility(export_type, format_choice, template_choice):
"""Update UI elements visibility based on selections"""
show_keywords = export_type == "Prompts by Keyword"
show_markdown_options = format_choice == "Markdown (ZIP)"
show_custom_template = template_choice == "Custom Template" and show_markdown_options
return [
gr.update(visible=show_keywords), # keyword_col
gr.update(visible=show_markdown_options), # markdown_options_col
gr.update(visible=show_custom_template) # custom_template
]
def handle_export(export_type, keywords, export_format, options, markdown_template, custom_template):
"""Handle the export process based on selected options"""
try:
# Parse options
include_system = "Include System Prompts" in options
include_user = "Include User Prompts" in options
include_details = "Include Details" in options
include_author = "Include Author" in options
include_keywords = "Include Keywords" in options
# Handle keyword filtering
keyword_list = None
if export_type == "Prompts by Keyword" and keywords:
keyword_list = [k.strip() for k in keywords.split(",") if k.strip()]
# Get the appropriate template
template = None
if export_format == "Markdown (ZIP)":
if markdown_template == "Custom Template":
template = custom_template
else:
template = markdown_template
# Perform export
from App_Function_Libraries.DB.Prompts_DB import export_prompts
status, file_path = export_prompts(
export_format=export_format.split()[0].lower(), # 'csv' or 'markdown'
filter_keywords=keyword_list,
include_system=include_system,
include_user=include_user,
include_details=include_details,
include_author=include_author,
include_keywords=include_keywords,
markdown_template=template
)
return status, file_path
except Exception as e:
error_msg = f"Export failed: {str(e)}"
logging.error(error_msg)
return error_msg, None
# Event handlers
export_type.change(
fn=lambda t, f, m: update_ui_visibility(t, f, m),
inputs=[export_type, export_format, markdown_template],
outputs=[keyword_col, markdown_options_col, custom_template]
)
export_format.change(
fn=lambda t, f, m: update_ui_visibility(t, f, m),
inputs=[export_type, export_format, markdown_template],
outputs=[keyword_col, markdown_options_col, custom_template]
)
markdown_template.change(
fn=lambda t, f, m: update_ui_visibility(t, f, m),
inputs=[export_type, export_format, markdown_template],
outputs=[keyword_col, markdown_options_col, custom_template]
)
export_button.click(
fn=handle_export,
inputs=[
export_type,
keyword_input,
export_format,
include_options,
markdown_template,
custom_template
],
outputs=[export_status, export_file]
)
#
# End of Export_Functionality.py
######################################################################################################################
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