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meraKB / brain.py

Asankhaya Sharma

add user authentication

8a70a7b 9 months ago

No virus

1.8 kB

	import numpy as np
	import streamlit as st


	def brain(supabase):
	## List all documents
	response = supabase.table("documents").select("name:metadata->>file_name, size:metadata->>file_size", count="exact").filter('metadata->>user', 'eq', st.session_state["username"]).execute()

	documents = response.data # Access the data from the response

	# Convert each dictionary to a tuple of items, then to a set to remove duplicates, and then back to a dictionary
	unique_data = [dict(t) for t in set(tuple(d.items()) for d in documents)]

	# Sort the list of documents by size in decreasing order
	unique_data.sort(key=lambda x: int(x['size']), reverse=True)

	# Display some metrics at the top of the page
	col1, col2 = st.columns(2)
	col1.metric(label="Total Documents", value=len(unique_data))
	col2.metric(label="Total Size (bytes)", value=sum(int(doc['size']) for doc in unique_data))

	for document in unique_data:
	# Create a unique key for each button by using the document name
	button_key = f"delete_{document['name']}"

	# Display the document name, size and the delete button on the same line
	col1, col2, col3 = st.columns([3, 1, 1])
	col1.markdown(f"{document['name']} ({document['size']} bytes)")

	if col2.button('❌', key=button_key):
	delete_document(supabase, document['name'])

	def delete_document(supabase, document_name):
	# Delete the document from the database
	response = supabase.table("documents").delete().match({"metadata->>file_name": document_name}).execute()
	# Check if the deletion was successful
	if len(response.data) > 0:
	st.write(f"✂️ {document_name} was deleted.")
	else:
	st.write(f"❌ {document_name} was not deleted.")