Prompt Breeding Two Apps - Will This Work!?!
The prompt below attempts to combine features from two apps and create a third innovative new app. Will it work?
In the program below the cosmos save at end of ai responses and results is not currently saving these. I want you to fix the cosmos save, just create a new empty item in current container and generate an id that is time based and unique my ms, yet have added value of being a DDMMYYYYmmssms so its sequential by time ms. Next in the file saves I want you to create a file interface that is matching my program 2. I will give you the first program: import streamlit as st
from azure.cosmos import CosmosClient, exceptions
import os
import pandas as pd
import traceback
import shutil
from github import Github
from git import Repo
from datetime import datetime
import base64
import json
import uuid # π² For generating unique IDs
from urllib.parse import quote # π For encoding URLs
from gradio_client import Client # π For connecting to Gradio apps
π Welcome to our fun-filled Cosmos DB and GitHub Integration app!
st.set_page_config(layout="wide")
π Cosmos DB configuration
ENDPOINT = "https://acae-afd.documents.azure.com:443/"
DATABASE_NAME = os.environ.get("COSMOS_DATABASE_NAME")
CONTAINER_NAME = os.environ.get("COSMOS_CONTAINER_NAME")
Key = os.environ.get("Key") # π Don't forget your key!
π Your local app URL (Change this to your app's URL)
LOCAL_APP_URL = "https://huggingface.co/spaces/awacke1/AzureCosmosDBUI"
π€ OpenAI configuration
openai.api_key = os.environ.get("OPENAI_API_KEY")
MODEL = "gpt-3.5-turbo" # Replace with your desired model
π GitHub configuration
def download_github_repo(url, local_path):
# π Let's download that GitHub repo!
if os.path.exists(local_path):
shutil.rmtree(local_path)
Repo.clone_from(url, local_path)
def create_zip_file(source_dir, output_filename):
# π¦ Zipping up files like a pro!
shutil.make_archive(output_filename, 'zip', source_dir)
def create_repo(g, repo_name):
# π οΈ Creating a new GitHub repo. Magic!
user = g.get_user()
return user.create_repo(repo_name)
def push_to_github(local_path, repo, github_token):
# π Pushing code to GitHub. Hold on tight!
repo_url = f"https://{github_token}@github.com/{repo.full_name}.git"
local_repo = Repo(local_path)
if 'origin' in [remote.name for remote in local_repo.remotes]:
origin = local_repo.remote('origin')
origin.set_url(repo_url)
else:
origin = local_repo.create_remote('origin', repo_url)
if not local_repo.heads:
local_repo.git.checkout('-b', 'main')
current_branch = 'main'
else:
current_branch = local_repo.active_branch.name
local_repo.git.add(A=True)
if local_repo.is_dirty():
local_repo.git.commit('-m', 'Initial commit')
origin.push(refspec=f'{current_branch}:{current_branch}')
def get_base64_download_link(file_path, file_name):
# π§ββοΈ Generating a magical download link!
with open(file_path, "rb") as file:
contents = file.read()
base64_encoded = base64.b64encode(contents).decode()
return f'β¬οΈ Download {file_name}'
π§ New functions for dynamic sidebar navigation
def get_databases(client):
# π Fetching list of databases. So many options!
return [db['id'] for db in client.list_databases()]
def get_containers(database):
# π Getting containers. Containers within containers!
return [container['id'] for container in database.list_containers()]
def get_documents(container, limit=None):
# π Retrieving documents. Shhh, don't tell anyone!
query = "SELECT * FROM c ORDER BY c._ts DESC"
items = list(container.query_items(query=query, enable_cross_partition_query=True, max_item_count=limit))
return items
π Cosmos DB functions
def insert_record(container, record):
# π₯ Inserting a record into the Cosmosβhope we don't disturb any aliens! π½
try:
container.create_item(body=record)
return True, "Record inserted successfully! π"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
def update_record(container, updated_record):
# π Updating a recordβgiving it a cosmic makeover! β¨
try:
container.upsert_item(body=updated_record)
return True, f"Record with id {updated_record['id']} successfully updated. π οΈ"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {traceback.format_exc()} π±"
def delete_record(container, name, id):
# ποΈ Deleting a recordβsending it into the cosmic void! π
try:
container.delete_item(item=id, partition_key=id)
return True, f"Successfully deleted record with name: {name} and id: {id} ποΈ"
except exceptions.CosmosResourceNotFoundError:
return False, f"Record with id {id} not found. It may have been already deleted. π΅οΈββοΈ"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {traceback.format_exc()} π±"
π² Function to generate a unique UUID
def generate_unique_id():
# π§ββοΈ Generating a unique UUID!
return str(uuid.uuid4())
π¦ Function to archive current container
def archive_current_container(database_name, container_name, client):
# π¦ Archiving the entire containerβtime to pack up the stars! π
try:
base_dir = "./cosmos_archive_current_container"
if os.path.exists(base_dir):
shutil.rmtree(base_dir)
os.makedirs(base_dir)
db_client = client.get_database_client(database_name)
container_client = db_client.get_container_client(container_name)
items = list(container_client.read_all_items())
container_dir = os.path.join(base_dir, container_name)
os.makedirs(container_dir)
for item in items:
item_id = item.get('id', f"unknown_{datetime.now().strftime('%Y%m%d%H%M%S')}")
with open(os.path.join(container_dir, f"{item_id}.json"), 'w') as f:
json.dump(item, f, indent=2)
archive_name = f"{container_name}_archive_{datetime.now().strftime('%Y%m%d%H%M%S')}"
shutil.make_archive(archive_name, 'zip', base_dir)
return get_base64_download_link(f"{archive_name}.zip", f"{archive_name}.zip")
except Exception as e:
return f"An error occurred while archiving data: {str(e)} π’"
π Helper to extract hyperlinks
def extract_hyperlinks(responses):
# π Extracting hyperlinksβconnecting the dots across the universe! πΈοΈ
hyperlinks = []
for response in responses:
parsed_response = json.loads(response)
links = [value for key, value in parsed_response.items() if isinstance(value, str) and value.startswith("http")]
hyperlinks.extend(links)
return hyperlinks
π Helper to format text with line numbers
def format_with_line_numbers(text):
# π Formatting text with line numbersβorganizing the cosmos one line at a time! π
lines = text.splitlines()
formatted_text = '\n'.join(f"{i+1}: {line}" for i, line in enumerate(lines))
return formatted_text
def generate_unique_id():
return str(uuid.uuid4())
def get_databases(client):
return [db['id'] for db in client.list_databases()]
def get_containers(database):
return [container['id'] for container in database.list_containers()]
def get_documents(container, limit=None):
query = "SELECT * FROM c ORDER BY c._ts DESC"
items = list(container.query_items(query=query, enable_cross_partition_query=True, max_item_count=limit))
return items
def save_to_cosmos_db(container, query, response1, response2):
try:
if container:
record = {
"id": generate_unique_id(),
"query": query,
"response1": response1,
"response2": response2
}
try:
container.create_item(body=record)
st.success(f"Record saved successfully with ID: {record['id']}")
# Refresh the documents display
st.session_state.documents = get_documents(container)
except exceptions.CosmosHttpResponseError as e:
st.error(f"Error saving record to Cosmos DB: {e}")
else:
st.error("Cosmos DB container is not initialized.")
except Exception as e:
st.error(f"An unexpected error occurred: {str(e)}")
Add dropdowns for model and database choices
def search_glossary(query):
st.markdown(f"### π Search Glossary for: {query}")
# Dropdown for model selection
model_options = ['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']
model_choice = st.selectbox('π§ Select LLM Model', options=model_options, index=1)
# Dropdown for database selection
database_options = ['Semantic Search', 'Arxiv Search - Latest - (EXPERIMENTAL)']
database_choice = st.selectbox('π Select Database', options=database_options, index=0)
# Run Button with Emoji
#if st.button("π Run"):
# π΅οΈββοΈ Searching the glossary for: query
all_results = ""
st.markdown(f"- {query}")
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM
#database_choice Literal['Semantic Search', 'Arxiv Search - Latest - (EXPERIMENTAL)'] Default: "Semantic Search"
#llm_model_picked Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None'] Default: "mistralai/Mistral-7B-Instruct-v0.2"
client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result = client.predict(
prompt=query,
llm_model_picked="mistralai/Mixtral-8x7B-Instruct-v0.1",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result)
st.code(result, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result2 = client.predict(
prompt=query,
llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result2)
st.code(result2, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result3 = client.predict(
prompt=query,
llm_model_picked="google/gemma-7b-it",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result3)
st.code(result3, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /update_with_rag_md
response2 = client.predict(
message=query, # str in 'parameter_13' Textbox component
llm_results_use=10,
database_choice="Semantic Search",
llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
api_name="/update_with_rag_md"
) # update_with_rag_md Returns tuple of 2 elements [0] str The output value that appears in the "value_14" Markdown component. [1] str
st.markdown(response2[0])
st.code(response2[0], language="python", line_numbers=True, wrap_lines=True)
st.markdown(response2[1])
st.code(response2[1], language="python", line_numbers=True, wrap_lines=True)
# When saving results, pass the container
try:
save_to_cosmos_db(st.session_state.cosmos_container, query, result, result)
save_to_cosmos_db(st.session_state.cosmos_container, query, result2, result2)
save_to_cosmos_db(st.session_state.cosmos_container, query, result3, result3)
save_to_cosmos_db(st.session_state.cosmos_container, query, response2[0], response2[0])
save_to_cosmos_db(st.session_state.cosmos_container, query, response2[1], response2[1])
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
try:
# Aggregate hyperlinks and show with emojis
hyperlinks = extract_hyperlinks([response1, response2])
st.markdown("### π Aggregated Hyperlinks")
for link in hyperlinks:
st.markdown(f"π [{link}]({link})")
# Show responses in a code format with line numbers
st.markdown("### π Response Outputs with Line Numbers")
st.code(f"Response 1: \n{format_with_line_numbers(response1)}\n\nResponse 2: \n{format_with_line_numbers(response2)}", language="json")
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
π€ Function to process text input
def process_text(text_input):
# π€ Processing text inputβtranslating human words into cosmic signals! π‘
if text_input:
if 'messages' not in st.session_state:
st.session_state.messages = []
st.session_state.messages.append({"role": "user", "content": text_input})
with st.chat_message("user"):
st.markdown(text_input)
with st.chat_message("assistant"):
search_glossary(text_input)
π Function to generate a filename
def generate_filename(text, file_type):
# π Generate a filename based on the text input
safe_text = "".join(c if c.isalnum() or c in (' ', '.', '') else '' for c in text)
safe_text = "_".join(safe_text.strip().split())
filename = f"{safe_text}.{file_type}"
return filename
π΅οΈββοΈ Function to extract markdown title
def extract_markdown_title(content):
# π΅οΈββοΈ Extracting markdown titleβfinding the headline in the cosmic news! π°
lines = content.splitlines()
for line in lines:
if line.startswith('#'):
return line.lstrip('#').strip()
return None
πΎ Function to create and save a file
def create_and_save_file(content, file_type="md", prompt=None, is_image=False, should_save=True):
# πΎ Creating and saving a fileβcapturing cosmic wisdom! π
if not should_save:
return None
# Step 1: Generate filename based on the prompt or content
filename = generate_filename(prompt if prompt else content, file_type)
# Step 2: If it's a markdown file, check if it has a title
if file_type == "md":
title_from_content = extract_markdown_title(content)
if title_from_content:
filename = generate_filename(title_from_content, file_type)
# Step 3: Save the file
with open(filename, "w", encoding="utf-8") as f:
if is_image:
f.write(content)
else:
f.write(prompt + "\n\n" + content)
return filename
π€ Function to insert an auto-generated record
def insert_auto_generated_record(container):
# π€ Automatically generating a record and inserting it into Cosmos DB!
try:
# Generate a unique id
new_id = generate_unique_id()
# Create a sample JSON document
new_doc = {
'id': new_id,
'name': f'Sample Name {new_id[:8]}',
'description': 'This is a sample auto-generated description.',
'timestamp': datetime.utcnow().isoformat()
}
# Insert the document
container.create_item(body=new_doc)
return True, f"Record inserted successfully with id: {new_id} π"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
π Main function
def main():
# π Let's modify the main app to be more fun!
st.title("πGitπCosmosπ« - Azure Cosmos DB and Github Agent")
# π¦ Initialize session state
if 'logged_in' not in st.session_state:
st.session_state.logged_in = False
if 'selected_records' not in st.session_state:
st.session_state.selected_records = []
if 'client' not in st.session_state:
st.session_state.client = None
if 'selected_database' not in st.session_state:
st.session_state.selected_database = None
if 'selected_container' not in st.session_state:
st.session_state.selected_container = None
if 'selected_document_id' not in st.session_state:
st.session_state.selected_document_id = None
if 'current_index' not in st.session_state:
st.session_state.current_index = 0
if 'cloned_doc' not in st.session_state:
st.session_state.cloned_doc = None
# βοΈ q= Run ArXiv search from query parameters
try:
query_params = st.query_params
query = query_params.get('q') or query_params.get('query') or ''
if query:
# π΅οΈββοΈ We have a query! Let's process it!
process_text(query)
st.stop() # Stop further execution
except Exception as e:
st.markdown(' ')
# π Automatic Login
if Key:
st.session_state.primary_key = Key
st.session_state.logged_in = True
else:
st.error("Cosmos DB Key is not set in environment variables. πβ")
return # Can't proceed without a key
if st.session_state.logged_in:
# π Initialize Cosmos DB client
try:
if st.session_state.client is None:
st.session_state.client = CosmosClient(ENDPOINT, credential=st.session_state.primary_key)
# ποΈ Sidebar for database, container, and document selection
st.sidebar.title("πGitπCosmosπ«ποΈNavigator")
databases = get_databases(st.session_state.client)
selected_db = st.sidebar.selectbox("ποΈ Select Database", databases)
if selected_db != st.session_state.selected_database:
st.session_state.selected_database = selected_db
st.session_state.selected_container = None
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if st.session_state.selected_database:
database = st.session_state.client.get_database_client(st.session_state.selected_database)
containers = get_containers(database)
selected_container = st.sidebar.selectbox("π Select Container", containers)
if selected_container != st.session_state.selected_container:
st.session_state.selected_container = selected_container
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if st.session_state.selected_container:
container = database.get_container_client(st.session_state.selected_container)
# π¦ Add Export button
if st.button("π¦ Export Container Data"):
download_link = archive_current_container(st.session_state.selected_database, st.session_state.selected_container, st.session_state.client)
if download_link.startswith('<a'):
st.markdown(download_link, unsafe_allow_html=True)
else:
st.error(download_link)
# Fetch documents
documents = get_documents(container)
total_docs = len(documents)
if total_docs > 5:
documents_to_display = documents[:5]
st.info("Showing top 5 most recent documents.")
else:
documents_to_display = documents
st.info(f"Showing all {len(documents_to_display)} documents.")
if documents_to_display:
# π¨ Add Viewer/Editor selection
view_options = ['Show as Markdown', 'Show as Code Editor', 'Show as Edit and Save', 'Clone Document', 'New Record']
selected_view = st.selectbox("Select Viewer/Editor", view_options, index=2)
if selected_view == 'Show as Markdown':
# ποΈ Show each record as Markdown with navigation
total_docs = len(documents)
doc = documents[st.session_state.current_index]
st.markdown(f"#### Document ID: {doc.get('id', '')}")
# π΅οΈββοΈ Let's extract values from the JSON that have at least one space
values_with_space = []
def extract_values(obj):
if isinstance(obj, dict):
for k, v in obj.items():
extract_values(v)
elif isinstance(obj, list):
for item in obj:
extract_values(item)
elif isinstance(obj, str):
if ' ' in obj:
values_with_space.append(obj)
extract_values(doc)
# π Let's create a list of links for these values
search_urls = {
"ππArXiv": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}",
"πAnalyst": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}-{quote('PromptPrefix')}",
"πPyCoder": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}-{quote('PromptPrefix2')}",
"π¬JSCoder": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}-{quote('PromptPrefix3')}",
"π ": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}",
"π": lambda k: f"https://en.wikipedia.org/wiki/{quote(k)}",
"π": lambda k: f"https://www.google.com/search?q={quote(k)}",
"βΆοΈ": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
"π": lambda k: f"https://www.bing.com/search?q={quote(k)}",
"π₯": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
"π¦": lambda k: f"https://twitter.com/search?q={quote(k)}",
}
st.markdown("#### π Links for Extracted Texts")
for term in values_with_space:
links_md = ' '.join([f"[{emoji}]({url(term)})" for emoji, url in search_urls.items()])
st.markdown(f"**{term}** <small>{links_md}</small>", unsafe_allow_html=True)
# Show the document content as markdown
content = json.dumps(doc, indent=2)
st.markdown(f"
json\n{content}\n
")
# Navigation buttons
col_prev, col_next = st.columns([1, 1])
with col_prev:
if st.button("β¬
οΈ Previous", key='prev_markdown'):
if st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ Next", key='next_markdown'):
if st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
elif selected_view == 'Show as Code Editor':
# π» Show each record in a code editor with navigation
total_docs = len(documents)
doc = documents[st.session_state.current_index]
st.markdown(f"#### Document ID: {doc.get('id', '')}")
doc_str = st.text_area("Edit Document", value=json.dumps(doc, indent=2), height=300, key=f'code_editor_{st.session_state.current_index}')
col_prev, col_next = st.columns([1, 1])
with col_prev:
if st.button("β¬
οΈ Previous", key='prev_code'):
if st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ Next", key='next_code'):
if st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
if st.button("πΎ Save Changes", key=f'save_button_{st.session_state.current_index}'):
try:
updated_doc = json.loads(doc_str)
success, message = update_record(container, updated_doc)
if success:
st.success(f"Document {updated_doc['id']} saved successfully.")
st.session_state.selected_document_id = updated_doc['id']
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
elif selected_view == 'Show as Edit and Save':
# βοΈ Show as Edit and Save in columns
st.markdown("#### Edit the document fields below:")
# Create columns for each document
num_cols = len(documents_to_display)
cols = st.columns(num_cols)
for idx, (col, doc) in enumerate(zip(cols, documents_to_display)):
with col:
st.markdown(f"##### Document ID: {doc.get('id', '')}")
editable_id = st.text_input("ID", value=doc.get('id', ''), key=f'edit_id_{idx}')
# Remove 'id' from the document for editing other fields
editable_doc = doc.copy()
editable_doc.pop('id', None)
doc_str = st.text_area("Document Content (in JSON format)", value=json.dumps(editable_doc, indent=2), height=300, key=f'doc_str_{idx}')
# Add the "Run With AI" button next to "Save Changes"
col_save, col_ai = st.columns(2)
with col_save:
if st.button("πΎ Save Changes", key=f'save_button_{idx}'):
try:
updated_doc = json.loads(doc_str)
updated_doc['id'] = editable_id # Include the possibly edited ID
success, message = update_record(container, updated_doc)
if success:
st.success(f"Document {updated_doc['id']} saved successfully.")
st.session_state.selected_document_id = updated_doc['id']
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
with col_ai:
if st.button("π€ Run With AI", key=f'run_with_ai_button_{idx}'):
# Use the entire document as input
search_glossary(json.dumps(editable_doc, indent=2))
elif selected_view == 'Clone Document':
# 𧬠Clone Document per record
st.markdown("#### Clone a document:")
for idx, doc in enumerate(documents_to_display):
st.markdown(f"##### Document ID: {doc.get('id', '')}")
if st.button("π Clone Document", key=f'clone_button_{idx}'):
cloned_doc = doc.copy()
# Generate a unique ID
cloned_doc['id'] = generate_unique_id()
st.session_state.cloned_doc = cloned_doc
st.session_state.cloned_doc_str = json.dumps(cloned_doc, indent=2)
st.session_state.clone_mode = True
st.rerun()
if st.session_state.get('clone_mode', False):
st.markdown("#### Edit Cloned Document:")
cloned_doc_str = st.text_area("Cloned Document Content (in JSON format)", value=st.session_state.cloned_doc_str, height=300)
if st.button("πΎ Save Cloned Document"):
try:
new_doc = json.loads(cloned_doc_str)
success, message = insert_record(container, new_doc)
if success:
st.success(f"Cloned document saved with id: {new_doc['id']} π")
st.session_state.selected_document_id = new_doc['id']
st.session_state.clone_mode = False
st.session_state.cloned_doc = None
st.session_state.cloned_doc_str = ''
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
elif selected_view == 'New Record':
# π New Record
st.markdown("#### Create a new document:")
if st.button("π€ Insert Auto-Generated Record"):
success, message = insert_auto_generated_record(container)
if success:
st.success(message)
st.rerun()
else:
st.error(message)
else:
new_id = st.text_input("ID", value=generate_unique_id(), key='new_id')
new_doc_str = st.text_area("Document Content (in JSON format)", value='{}', height=300)
if st.button("β Create New Document"):
try:
new_doc = json.loads(new_doc_str)
new_doc['id'] = new_id # Use the provided ID
success, message = insert_record(container, new_doc)
if success:
st.success(f"New document created with id: {new_doc['id']} π")
st.session_state.selected_document_id = new_doc['id']
# Switch to 'Show as Edit and Save' mode
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
else:
st.sidebar.info("No documents found in this container. π")
# π Main content area
st.subheader(f"π Container: {st.session_state.selected_container}")
if st.session_state.selected_container:
if documents_to_display:
df = pd.DataFrame(documents_to_display)
st.dataframe(df)
else:
st.info("No documents to display. π§")
# π GitHub section
st.subheader("π GitHub Operations")
github_token = os.environ.get("GITHUB") # Read GitHub token from environment variable
source_repo = st.text_input("Source GitHub Repository URL", value="https://github.com/AaronCWacker/AIExamples-8-24-Streamlit")
new_repo_name = st.text_input("New Repository Name (for cloning)", value=f"AIExample-Clone-{datetime.now().strftime('%Y%m%d_%H%M%S')}")
col1, col2 = st.columns(2)
with col1:
if st.button("π₯ Clone Repository"):
if github_token and source_repo:
try:
local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d%H%M%S')}"
download_github_repo(source_repo, local_path)
zip_filename = f"{new_repo_name}.zip"
create_zip_file(local_path, zip_filename[:-4])
st.markdown(get_base64_download_link(zip_filename, zip_filename), unsafe_allow_html=True)
st.success("Repository cloned successfully! π")
except Exception as e:
st.error(f"An error occurred: {str(e)} π’")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
if os.path.exists(zip_filename):
os.remove(zip_filename)
else:
st.error("Please ensure GitHub token is set in environment variables and source repository URL is provided. πβ")
with col2:
if st.button("π€ Push to New Repository"):
if github_token and source_repo:
try:
g = Github(github_token)
new_repo = create_repo(g, new_repo_name)
local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d%H%M%S')}"
download_github_repo(source_repo, local_path)
push_to_github(local_path, new_repo, github_token)
st.success(f"Repository pushed successfully to {new_repo.html_url} π")
except Exception as e:
st.error(f"An error occurred: {str(e)} π’")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
else:
st.error("Please ensure GitHub token is set in environment variables and source repository URL is provided. πβ")
except exceptions.CosmosHttpResponseError as e:
st.error(f"Failed to connect to Cosmos DB. HTTP error: {str(e)} π¨")
except Exception as e:
st.error(f"An unexpected error occurred: {str(e)} π±")
# πͺ Logout button
if st.session_state.logged_in and st.sidebar.button("πͺ Logout"):
st.session_state.logged_in = False
st.session_state.selected_records.clear()
st.session_state.client = None
st.session_state.selected_database = None
st.session_state.selected_container = None
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if name == "main":
main() Here is program 2 which has the file logic and sidebar also actions that I like for CRUD on Display file as markdown, and st.code, allow query rerun, etc: import streamlit as st
import anthropic
import os
import base64
import glob
import json
import pytz
from datetime import datetime
from streamlit.components.v1 import html
from PIL import Image
import re
from urllib.parse import quote
1. App Configuration
Site_Name = 'π€π§ Claude35ππ¬'
title="π€π§ Claude35ππ¬"
helpURL='https://huggingface.co/awacke1'
bugURL='https://huggingface.co/spaces/awacke1'
icons='π€π§ π¬π'
st.set_page_config(
page_title=title,
page_icon=icons,
layout="wide",
initial_sidebar_state="auto",
menu_items={
'Get Help': helpURL,
'Report a bug': bugURL,
'About': title
}
)
Set up the Anthropic client
client = anthropic.Anthropic(api_key=os.environ.get("ANTHROPIC_API_KEY"))
Initialize session state
if "chat_history" not in st.session_state:
st.session_state.chat_history = []
Helper Functions: All Your Essentials π
Function to get a file download link (because you deserve easy downloads π)
def get_download_link(file_path):
with open(file_path, "rb") as file:
contents = file.read()
b64 = base64.b64encode(contents).decode()
file_name = os.path.basename(file_path)
return f'Download {file_name}π'
Function to generate a filename based on prompt and time (because names matter π)
def generate_filename(prompt, file_type):
central = pytz.timezone('US/Central')
safe_date_time = datetime.now(central).strftime("%m%d_%H%M")
safe_prompt = re.sub(r'\W+', '', prompt)[:90]
return f"{safe_date_time}{safe_prompt}.{file_type}"
Function to create and save a file (and avoid the black hole of lost data π³)
def create_file(filename, prompt, response, should_save=True):
if not should_save:
return
with open(filename, 'w', encoding='utf-8') as file:
file.write(prompt + "\n\n" + response)
Function to load file content (for revisiting the past π)
def load_file(file_name):
with open(file_name, "r", encoding='utf-8') as file:
content = file.read()
return content
Function to display handy glossary entity links (search like a pro π)
def display_glossary_entity(k):
search_urls = {
"ππArXiv": lambda k: f"/?q={quote(k)}",
"π": lambda k: f"https://en.wikipedia.org/wiki/{quote(k)}",
"π": lambda k: f"https://www.google.com/search?q={quote(k)}",
"π₯": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
}
links_md = ' '.join([f"{emoji}" for emoji, url in search_urls.items()])
st.markdown(f"{k} {links_md}", unsafe_allow_html=True)
Function to create zip of files (because more is more π§³)
def create_zip_of_files(files):
import zipfile
zip_name = "all_files.zip"
with zipfile.ZipFile(zip_name, 'w') as zipf:
for file in files:
zipf.write(file)
return zip_name
Function to create HTML for autoplaying and looping video (for the full cinematic effect π₯)
def get_video_html(video_path, width="100%"):
video_url = f"data:video/mp4;base64,{base64.b64encode(open(video_path, 'rb').read()).decode()}"
return f'''
'''
Function to create HTML for audio player (when life needs a soundtrack πΆ)
def get_audio_html(audio_path, width="100%"):
audio_url = f"data:audio/mpeg;base64,{base64.b64encode(open(audio_path, 'rb').read()).decode()}"
return f'''
'''
Streamlit App Layout (like a house with better flow π‘)
def main():
# Sidebar with Useful Controls (All the VIP actions π)
st.sidebar.title("π§ Claudeπ")
all_files = glob.glob("*.md")
all_files.sort(reverse=True)
if st.sidebar.button("π Delete All"):
for file in all_files:
os.remove(file)
st.rerun()
if st.sidebar.button("β¬οΈ Download All"):
zip_file = create_zip_of_files(all_files)
st.sidebar.markdown(get_download_link(zip_file), unsafe_allow_html=True)
for file in all_files:
col1, col2, col3, col4 = st.sidebar.columns([1,3,1,1])
with col1:
if st.button("π", key="view_"+file):
st.session_state.current_file = file
st.session_state.file_content = load_file(file)
with col2:
st.markdown(get_download_link(file), unsafe_allow_html=True)
with col3:
if st.button("π", key="edit_"+file):
st.session_state.current_file = file
st.session_state.file_content = load_file(file)
with col4:
if st.button("π", key="delete_"+file):
os.remove(file)
st.rerun()
# Main Area: Chat with Claude (Heβs a good listener π¬)
user_input = st.text_area("Message π¨:", height=100)
if st.button("Send π¨"):
if user_input:
response = client.messages.create(
model="claude-3-sonnet-20240229",
max_tokens=1000,
messages=[
{"role": "user", "content": user_input}
]
)
st.write("Claude's reply π§ :")
st.write(response.content[0].text)
filename = generate_filename(user_input, "md")
create_file(filename, user_input, response.content[0].text)
st.session_state.chat_history.append({"user": user_input, "claude": response.content[0].text})
# Display Chat History (Never forget a good chat π)
st.subheader("Past Conversations π")
for chat in st.session_state.chat_history:
st.text_area("You said π¬:", chat["user"], height=100, disabled=True)
st.text_area("Claude replied π€:", chat["claude"], height=200, disabled=True)
st.markdown("---")
# File Editor (When you need to tweak things βοΈ)
if hasattr(st.session_state, 'current_file'):
st.subheader(f"Editing: {st.session_state.current_file} π ")
new_content = st.text_area("File Content βοΈ:", st.session_state.file_content, height=300)
if st.button("Save Changes πΎ"):
with open(st.session_state.current_file, 'w', encoding='utf-8') as file:
file.write(new_content)
st.success("File updated successfully! π")
# Image Gallery (For your viewing pleasure πΈ)
st.subheader("Image Gallery πΌ")
image_files = glob.glob("*.png") + glob.glob("*.jpg") + glob.glob("*.jpeg")
image_cols = st.slider("Gallery Columns πΌ", min_value=1, max_value=15, value=5)
cols = st.columns(image_cols)
for idx, image_file in enumerate(image_files):
with cols[idx % image_cols]:
img = Image.open(image_file)
#st.image(img, caption=image_file, use_column_width=True)
st.image(img, use_column_width=True)
display_glossary_entity(os.path.splitext(image_file)[0])
# Video Gallery (Letβs roll the tapes π¬)
st.subheader("Video Gallery π₯")
video_files = glob.glob("*.mp4")
video_cols = st.slider("Gallery Columns π¬", min_value=1, max_value=5, value=3)
cols = st.columns(video_cols)
for idx, video_file in enumerate(video_files):
with cols[idx % video_cols]:
st.markdown(get_video_html(video_file, width="100%"), unsafe_allow_html=True)
display_glossary_entity(os.path.splitext(video_file)[0])
# Audio Gallery (Tunes for the mood πΆ)
st.subheader("Audio Gallery π§")
audio_files = glob.glob("*.mp3") + glob.glob("*.wav")
audio_cols = st.slider("Gallery Columns πΆ", min_value=1, max_value=15, value=5)
cols = st.columns(audio_cols)
for idx, audio_file in enumerate(audio_files):
with cols[idx % audio_cols]:
st.markdown(get_audio_html(audio_file, width="100%"), unsafe_allow_html=True)
display_glossary_entity(os.path.splitext(audio_file)[0])
if name == "main":
main()
Next chapter is the GPT4o model is shinging as long as you tell it to use memory, like this: Memory updated
The program you provided has a total of 1,047 lines of code. I'm ready for the major addition you mentioned!
Here is my prompt.
Use this program and keep all code. We are going to integrate a major new feature. I will send the Major addition next once you have this. count lines of code and repeat it back to me so I know you are legit. import streamlit as st
from azure.cosmos import CosmosClient, exceptions
import os
import pandas as pd
import traceback
import shutil
from github import Github
from git import Repo
from datetime import datetime
import base64
import json
import uuid # π² For generating unique IDs
from urllib.parse import quote # π For encoding URLs
from gradio_client import Client # π For connecting to Gradio apps
π Welcome to our fun-filled Cosmos DB and GitHub Integration app!
st.set_page_config(layout="wide")
π Cosmos DB configuration
ENDPOINT = "https://acae-afd.documents.azure.com:443/"
DATABASE_NAME = os.environ.get("COSMOS_DATABASE_NAME")
CONTAINER_NAME = os.environ.get("COSMOS_CONTAINER_NAME")
Key = os.environ.get("Key") # π Don't forget your key!
π Your local app URL (Change this to your app's URL)
LOCAL_APP_URL = "https://huggingface.co/spaces/awacke1/AzureCosmosDBUI"
π€ OpenAI configuration
openai.api_key = os.environ.get("OPENAI_API_KEY")
MODEL = "gpt-3.5-turbo" # Replace with your desired model
π GitHub configuration
def download_github_repo(url, local_path):
# π Let's download that GitHub repo!
if os.path.exists(local_path):
shutil.rmtree(local_path)
Repo.clone_from(url, local_path)
def create_zip_file(source_dir, output_filename):
# π¦ Zipping up files like a pro!
shutil.make_archive(output_filename, 'zip', source_dir)
def create_repo(g, repo_name):
# π οΈ Creating a new GitHub repo. Magic!
user = g.get_user()
return user.create_repo(repo_name)
def push_to_github(local_path, repo, github_token):
# π Pushing code to GitHub. Hold on tight!
repo_url = f"https://{github_token}@github.com/{repo.full_name}.git"
local_repo = Repo(local_path)
if 'origin' in [remote.name for remote in local_repo.remotes]:
origin = local_repo.remote('origin')
origin.set_url(repo_url)
else:
origin = local_repo.create_remote('origin', repo_url)
if not local_repo.heads:
local_repo.git.checkout('-b', 'main')
current_branch = 'main'
else:
current_branch = local_repo.active_branch.name
local_repo.git.add(A=True)
if local_repo.is_dirty():
local_repo.git.commit('-m', 'Initial commit')
origin.push(refspec=f'{current_branch}:{current_branch}')
def get_base64_download_link(file_path, file_name):
# π§ββοΈ Generating a magical download link!
with open(file_path, "rb") as file:
contents = file.read()
base64_encoded = base64.b64encode(contents).decode()
return f'β¬οΈ Download {file_name}'
π§ New functions for dynamic sidebar navigation
def get_databases(client):
# π Fetching list of databases. So many options!
return [db['id'] for db in client.list_databases()]
def get_containers(database):
# π Getting containers. Containers within containers!
return [container['id'] for container in database.list_containers()]
def get_documents(container, limit=None):
# π Retrieving documents. Shhh, don't tell anyone!
query = "SELECT * FROM c ORDER BY c._ts DESC"
items = list(container.query_items(query=query, enable_cross_partition_query=True, max_item_count=limit))
return items
π Cosmos DB functions
def insert_record(container, record):
# π₯ Inserting a record into the Cosmosβhope we don't disturb any aliens! π½
try:
container.create_item(body=record)
return True, "Record inserted successfully! π"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
def update_record(container, updated_record):
# π Updating a recordβgiving it a cosmic makeover! β¨
try:
container.upsert_item(body=updated_record)
return True, f"Record with id {updated_record['id']} successfully updated. π οΈ"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {traceback.format_exc()} π±"
def delete_record(container, name, id):
# ποΈ Deleting a recordβsending it into the cosmic void! π
try:
container.delete_item(item=id, partition_key=id)
return True, f"Successfully deleted record with name: {name} and id: {id} ποΈ"
except exceptions.CosmosResourceNotFoundError:
return False, f"Record with id {id} not found. It may have been already deleted. π΅οΈββοΈ"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {traceback.format_exc()} π±"
π² Function to generate a unique UUID
def generate_unique_id():
# π§ββοΈ Generating a unique UUID!
return str(uuid.uuid4())
π¦ Function to archive current container
def archive_current_container(database_name, container_name, client):
# π¦ Archiving the entire containerβtime to pack up the stars! π
try:
base_dir = "./cosmos_archive_current_container"
if os.path.exists(base_dir):
shutil.rmtree(base_dir)
os.makedirs(base_dir)
db_client = client.get_database_client(database_name)
container_client = db_client.get_container_client(container_name)
items = list(container_client.read_all_items())
container_dir = os.path.join(base_dir, container_name)
os.makedirs(container_dir)
for item in items:
item_id = item.get('id', f"unknown_{datetime.now().strftime('%Y%m%d%H%M%S')}")
with open(os.path.join(container_dir, f"{item_id}.json"), 'w') as f:
json.dump(item, f, indent=2)
archive_name = f"{container_name}_archive_{datetime.now().strftime('%Y%m%d%H%M%S')}"
shutil.make_archive(archive_name, 'zip', base_dir)
return get_base64_download_link(f"{archive_name}.zip", f"{archive_name}.zip")
except Exception as e:
return f"An error occurred while archiving data: {str(e)} π’"
π Helper to extract hyperlinks
def extract_hyperlinks(responses):
# π Extracting hyperlinksβconnecting the dots across the universe! πΈοΈ
hyperlinks = []
for response in responses:
parsed_response = json.loads(response)
links = [value for key, value in parsed_response.items() if isinstance(value, str) and value.startswith("http")]
hyperlinks.extend(links)
return hyperlinks
π Helper to format text with line numbers
def format_with_line_numbers(text):
# π Formatting text with line numbersβorganizing the cosmos one line at a time! π
lines = text.splitlines()
formatted_text = '\n'.join(f"{i+1}: {line}" for i, line in enumerate(lines))
return formatted_text
def generate_unique_id():
return str(uuid.uuid4())
def get_databases(client):
return [db['id'] for db in client.list_databases()]
def get_containers(database):
return [container['id'] for container in database.list_containers()]
def get_documents(container, limit=None):
query = "SELECT * FROM c ORDER BY c._ts DESC"
items = list(container.query_items(query=query, enable_cross_partition_query=True, max_item_count=limit))
return items
def save_to_cosmos_db(container, query, response1, response2):
try:
if container:
record = {
"id": generate_unique_id(),
"query": query,
"response1": response1,
"response2": response2
}
try:
container.create_item(body=record)
st.success(f"Record saved successfully with ID: {record['id']}")
# Refresh the documents display
st.session_state.documents = get_documents(container)
except exceptions.CosmosHttpResponseError as e:
st.error(f"Error saving record to Cosmos DB: {e}")
else:
st.error("Cosmos DB container is not initialized.")
except Exception as e:
st.error(f"An unexpected error occurred: {str(e)}")
Add dropdowns for model and database choices
def search_glossary(query):
st.markdown(f"### π Search Glossary for: {query}")
# Dropdown for model selection
model_options = ['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']
model_choice = st.selectbox('π§ Select LLM Model', options=model_options, index=1)
# Dropdown for database selection
database_options = ['Semantic Search', 'Arxiv Search - Latest - (EXPERIMENTAL)']
database_choice = st.selectbox('π Select Database', options=database_options, index=0)
# Run Button with Emoji
#if st.button("π Run"):
# π΅οΈββοΈ Searching the glossary for: query
all_results = ""
st.markdown(f"- {query}")
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM
#database_choice Literal['Semantic Search', 'Arxiv Search - Latest - (EXPERIMENTAL)'] Default: "Semantic Search"
#llm_model_picked Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None'] Default: "mistralai/Mistral-7B-Instruct-v0.2"
client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result = client.predict(
prompt=query,
llm_model_picked="mistralai/Mixtral-8x7B-Instruct-v0.1",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result)
st.code(result, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result2 = client.predict(
prompt=query,
llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result2)
st.code(result2, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result3 = client.predict(
prompt=query,
llm_model_picked="google/gemma-7b-it",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result3)
st.code(result3, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /update_with_rag_md
response2 = client.predict(
message=query, # str in 'parameter_13' Textbox component
llm_results_use=10,
database_choice="Semantic Search",
llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
api_name="/update_with_rag_md"
) # update_with_rag_md Returns tuple of 2 elements [0] str The output value that appears in the "value_14" Markdown component. [1] str
st.markdown(response2[0])
st.code(response2[0], language="python", line_numbers=True, wrap_lines=True)
st.markdown(response2[1])
st.code(response2[1], language="python", line_numbers=True, wrap_lines=True)
# When saving results, pass the container
try:
save_to_cosmos_db(st.session_state.cosmos_container, query, result, result)
save_to_cosmos_db(st.session_state.cosmos_container, query, result2, result2)
save_to_cosmos_db(st.session_state.cosmos_container, query, result3, result3)
save_to_cosmos_db(st.session_state.cosmos_container, query, response2[0], response2[0])
save_to_cosmos_db(st.session_state.cosmos_container, query, response2[1], response2[1])
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
try:
# Aggregate hyperlinks and show with emojis
hyperlinks = extract_hyperlinks([response1, response2])
st.markdown("### π Aggregated Hyperlinks")
for link in hyperlinks:
st.markdown(f"π [{link}]({link})")
# Show responses in a code format with line numbers
st.markdown("### π Response Outputs with Line Numbers")
st.code(f"Response 1: \n{format_with_line_numbers(response1)}\n\nResponse 2: \n{format_with_line_numbers(response2)}", language="json")
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
π€ Function to process text input
def process_text(text_input):
# π€ Processing text inputβtranslating human words into cosmic signals! π‘
if text_input:
if 'messages' not in st.session_state:
st.session_state.messages = []
st.session_state.messages.append({"role": "user", "content": text_input})
with st.chat_message("user"):
st.markdown(text_input)
with st.chat_message("assistant"):
search_glossary(text_input)
π Function to generate a filename
def generate_filename(text, file_type):
# π Generate a filename based on the text input
safe_text = "".join(c if c.isalnum() or c in (' ', '.', '') else '' for c in text)
safe_text = "_".join(safe_text.strip().split())
filename = f"{safe_text}.{file_type}"
return filename
π΅οΈββοΈ Function to extract markdown title
def extract_markdown_title(content):
# π΅οΈββοΈ Extracting markdown titleβfinding the headline in the cosmic news! π°
lines = content.splitlines()
for line in lines:
if line.startswith('#'):
return line.lstrip('#').strip()
return None
πΎ Function to create and save a file
def create_and_save_file(content, file_type="md", prompt=None, is_image=False, should_save=True):
# πΎ Creating and saving a fileβcapturing cosmic wisdom! π
if not should_save:
return None
# Step 1: Generate filename based on the prompt or content
filename = generate_filename(prompt if prompt else content, file_type)
# Step 2: If it's a markdown file, check if it has a title
if file_type == "md":
title_from_content = extract_markdown_title(content)
if title_from_content:
filename = generate_filename(title_from_content, file_type)
# Step 3: Save the file
with open(filename, "w", encoding="utf-8") as f:
if is_image:
f.write(content)
else:
f.write(prompt + "\n\n" + content)
return filename
π€ Function to insert an auto-generated record
def insert_auto_generated_record(container):
# π€ Automatically generating a record and inserting it into Cosmos DB!
try:
# Generate a unique id
new_id = generate_unique_id()
# Create a sample JSON document
new_doc = {
'id': new_id,
'name': f'Sample Name {new_id[:8]}',
'description': 'This is a sample auto-generated description.',
'timestamp': datetime.utcnow().isoformat()
}
# Insert the document
container.create_item(body=new_doc)
return True, f"Record inserted successfully with id: {new_id} π"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
π Main function
def main():
# π Let's modify the main app to be more fun!
st.title("πGitπCosmosπ« - Azure Cosmos DB and Github Agent")
# π¦ Initialize session state
if 'logged_in' not in st.session_state:
st.session_state.logged_in = False
if 'selected_records' not in st.session_state:
st.session_state.selected_records = []
if 'client' not in st.session_state:
st.session_state.client = None
if 'selected_database' not in st.session_state:
st.session_state.selected_database = None
if 'selected_container' not in st.session_state:
st.session_state.selected_container = None
if 'selected_document_id' not in st.session_state:
st.session_state.selected_document_id = None
if 'current_index' not in st.session_state:
st.session_state.current_index = 0
if 'cloned_doc' not in st.session_state:
st.session_state.cloned_doc = None
# βοΈ q= Run ArXiv search from query parameters
try:
query_params = st.query_params
query = query_params.get('q') or query_params.get('query') or ''
if query:
# π΅οΈββοΈ We have a query! Let's process it!
process_text(query)
st.stop() # Stop further execution
except Exception as e:
st.markdown(' ')
# π Automatic Login
if Key:
st.session_state.primary_key = Key
st.session_state.logged_in = True
else:
st.error("Cosmos DB Key is not set in environment variables. πβ")
return # Can't proceed without a key
if st.session_state.logged_in:
# π Initialize Cosmos DB client
try:
if st.session_state.client is None:
st.session_state.client = CosmosClient(ENDPOINT, credential=st.session_state.primary_key)
# ποΈ Sidebar for database, container, and document selection
st.sidebar.title("πGitπCosmosπ«ποΈNavigator")
databases = get_databases(st.session_state.client)
selected_db = st.sidebar.selectbox("ποΈ Select Database", databases)
if selected_db != st.session_state.selected_database:
st.session_state.selected_database = selected_db
st.session_state.selected_container = None
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if st.session_state.selected_database:
database = st.session_state.client.get_database_client(st.session_state.selected_database)
containers = get_containers(database)
selected_container = st.sidebar.selectbox("π Select Container", containers)
if selected_container != st.session_state.selected_container:
st.session_state.selected_container = selected_container
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if st.session_state.selected_container:
container = database.get_container_client(st.session_state.selected_container)
# π¦ Add Export button
if st.button("π¦ Export Container Data"):
download_link = archive_current_container(st.session_state.selected_database, st.session_state.selected_container, st.session_state.client)
if download_link.startswith('<a'):
st.markdown(download_link, unsafe_allow_html=True)
else:
st.error(download_link)
# Fetch documents
documents = get_documents(container)
total_docs = len(documents)
if total_docs > 5:
documents_to_display = documents[:5]
st.info("Showing top 5 most recent documents.")
else:
documents_to_display = documents
st.info(f"Showing all {len(documents_to_display)} documents.")
if documents_to_display:
# π¨ Add Viewer/Editor selection
view_options = ['Show as Markdown', 'Show as Code Editor', 'Show as Edit and Save', 'Clone Document', 'New Record']
selected_view = st.selectbox("Select Viewer/Editor", view_options, index=2)
if selected_view == 'Show as Markdown':
# ποΈ Show each record as Markdown with navigation
total_docs = len(documents)
doc = documents[st.session_state.current_index]
st.markdown(f"#### Document ID: {doc.get('id', '')}")
# π΅οΈββοΈ Let's extract values from the JSON that have at least one space
values_with_space = []
def extract_values(obj):
if isinstance(obj, dict):
for k, v in obj.items():
extract_values(v)
elif isinstance(obj, list):
for item in obj:
extract_values(item)
elif isinstance(obj, str):
if ' ' in obj:
values_with_space.append(obj)
extract_values(doc)
# π Let's create a list of links for these values
search_urls = {
"ππArXiv": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}",
"πAnalyst": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}-{quote('PromptPrefix')}",
"πPyCoder": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}-{quote('PromptPrefix2')}",
"π¬JSCoder": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}-{quote('PromptPrefix3')}",
"π ": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}",
"π": lambda k: f"https://en.wikipedia.org/wiki/{quote(k)}",
"π": lambda k: f"https://www.google.com/search?q={quote(k)}",
"βΆοΈ": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
"π": lambda k: f"https://www.bing.com/search?q={quote(k)}",
"π₯": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
"π¦": lambda k: f"https://twitter.com/search?q={quote(k)}",
}
st.markdown("#### π Links for Extracted Texts")
for term in values_with_space:
links_md = ' '.join([f"[{emoji}]({url(term)})" for emoji, url in search_urls.items()])
st.markdown(f"**{term}** <small>{links_md}</small>", unsafe_allow_html=True)
# Show the document content as markdown
content = json.dumps(doc, indent=2)
st.markdown(f"
json\n{content}\n
")
# Navigation buttons
col_prev, col_next = st.columns([1, 1])
with col_prev:
if st.button("β¬
οΈ Previous", key='prev_markdown'):
if st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ Next", key='next_markdown'):
if st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
elif selected_view == 'Show as Code Editor':
# π» Show each record in a code editor with navigation
total_docs = len(documents)
doc = documents[st.session_state.current_index]
st.markdown(f"#### Document ID: {doc.get('id', '')}")
doc_str = st.text_area("Edit Document", value=json.dumps(doc, indent=2), height=300, key=f'code_editor_{st.session_state.current_index}')
col_prev, col_next = st.columns([1, 1])
with col_prev:
if st.button("β¬
οΈ Previous", key='prev_code'):
if st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ Next", key='next_code'):
if st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
if st.button("πΎ Save Changes", key=f'save_button_{st.session_state.current_index}'):
try:
updated_doc = json.loads(doc_str)
success, message = update_record(container, updated_doc)
if success:
st.success(f"Document {updated_doc['id']} saved successfully.")
st.session_state.selected_document_id = updated_doc['id']
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
elif selected_view == 'Show as Edit and Save':
# βοΈ Show as Edit and Save in columns
st.markdown("#### Edit the document fields below:")
# Create columns for each document
num_cols = len(documents_to_display)
cols = st.columns(num_cols)
for idx, (col, doc) in enumerate(zip(cols, documents_to_display)):
with col:
st.markdown(f"##### Document ID: {doc.get('id', '')}")
editable_id = st.text_input("ID", value=doc.get('id', ''), key=f'edit_id_{idx}')
# Remove 'id' from the document for editing other fields
editable_doc = doc.copy()
editable_doc.pop('id', None)
doc_str = st.text_area("Document Content (in JSON format)", value=json.dumps(editable_doc, indent=2), height=300, key=f'doc_str_{idx}')
# Add the "Run With AI" button next to "Save Changes"
col_save, col_ai = st.columns(2)
with col_save:
if st.button("πΎ Save Changes", key=f'save_button_{idx}'):
try:
updated_doc = json.loads(doc_str)
updated_doc['id'] = editable_id # Include the possibly edited ID
success, message = update_record(container, updated_doc)
if success:
st.success(f"Document {updated_doc['id']} saved successfully.")
st.session_state.selected_document_id = updated_doc['id']
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
with col_ai:
if st.button("π€ Run With AI", key=f'run_with_ai_button_{idx}'):
# Use the entire document as input
search_glossary(json.dumps(editable_doc, indent=2))
elif selected_view == 'Clone Document':
# 𧬠Clone Document per record
st.markdown("#### Clone a document:")
for idx, doc in enumerate(documents_to_display):
st.markdown(f"##### Document ID: {doc.get('id', '')}")
if st.button("π Clone Document", key=f'clone_button_{idx}'):
cloned_doc = doc.copy()
# Generate a unique ID
cloned_doc['id'] = generate_unique_id()
st.session_state.cloned_doc = cloned_doc
st.session_state.cloned_doc_str = json.dumps(cloned_doc, indent=2)
st.session_state.clone_mode = True
st.rerun()
if st.session_state.get('clone_mode', False):
st.markdown("#### Edit Cloned Document:")
cloned_doc_str = st.text_area("Cloned Document Content (in JSON format)", value=st.session_state.cloned_doc_str, height=300)
if st.button("πΎ Save Cloned Document"):
try:
new_doc = json.loads(cloned_doc_str)
success, message = insert_record(container, new_doc)
if success:
st.success(f"Cloned document saved with id: {new_doc['id']} π")
st.session_state.selected_document_id = new_doc['id']
st.session_state.clone_mode = False
st.session_state.cloned_doc = None
st.session_state.cloned_doc_str = ''
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
elif selected_view == 'New Record':
# π New Record
st.markdown("#### Create a new document:")
if st.button("π€ Insert Auto-Generated Record"):
success, message = insert_auto_generated_record(container)
if success:
st.success(message)
st.rerun()
else:
st.error(message)
else:
new_id = st.text_input("ID", value=generate_unique_id(), key='new_id')
new_doc_str = st.text_area("Document Content (in JSON format)", value='{}', height=300)
if st.button("β Create New Document"):
try:
new_doc = json.loads(new_doc_str)
new_doc['id'] = new_id # Use the provided ID
success, message = insert_record(container, new_doc)
if success:
st.success(f"New document created with id: {new_doc['id']} π")
st.session_state.selected_document_id = new_doc['id']
# Switch to 'Show as Edit and Save' mode
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
else:
st.sidebar.info("No documents found in this container. π")
# π Main content area
st.subheader(f"π Container: {st.session_state.selected_container}")
if st.session_state.selected_container:
if documents_to_display:
df = pd.DataFrame(documents_to_display)
st.dataframe(df)
else:
st.info("No documents to display. π§")
# π GitHub section
st.subheader("π GitHub Operations")
github_token = os.environ.get("GITHUB") # Read GitHub token from environment variable
source_repo = st.text_input("Source GitHub Repository URL", value="https://github.com/AaronCWacker/AIExamples-8-24-Streamlit")
new_repo_name = st.text_input("New Repository Name (for cloning)", value=f"AIExample-Clone-{datetime.now().strftime('%Y%m%d_%H%M%S')}")
col1, col2 = st.columns(2)
with col1:
if st.button("π₯ Clone Repository"):
if github_token and source_repo:
try:
local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d%H%M%S')}"
download_github_repo(source_repo, local_path)
zip_filename = f"{new_repo_name}.zip"
create_zip_file(local_path, zip_filename[:-4])
st.markdown(get_base64_download_link(zip_filename, zip_filename), unsafe_allow_html=True)
st.success("Repository cloned successfully! π")
except Exception as e:
st.error(f"An error occurred: {str(e)} π’")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
if os.path.exists(zip_filename):
os.remove(zip_filename)
else:
st.error("Please ensure GitHub token is set in environment variables and source repository URL is provided. πβ")
with col2:
if st.button("π€ Push to New Repository"):
if github_token and source_repo:
try:
g = Github(github_token)
new_repo = create_repo(g, new_repo_name)
local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d%H%M%S')}"
download_github_repo(source_repo, local_path)
push_to_github(local_path, new_repo, github_token)
st.success(f"Repository pushed successfully to {new_repo.html_url} π")
except Exception as e:
st.error(f"An error occurred: {str(e)} π’")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
else:
st.error("Please ensure GitHub token is set in environment variables and source repository URL is provided. πβ")
except exceptions.CosmosHttpResponseError as e:
st.error(f"Failed to connect to Cosmos DB. HTTP error: {str(e)} π¨")
except Exception as e:
st.error(f"An unexpected error occurred: {str(e)} π±")
# πͺ Logout button
if st.session_state.logged_in and st.sidebar.button("πͺ Logout"):
st.session_state.logged_in = False
st.session_state.selected_records.clear()
st.session_state.client = None
st.session_state.selected_database = None
st.session_state.selected_container = None
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if name == "main":
main()
One Prompt again! This app has coding errors and needs function reorganization. Label each function with witty emoji bylines introducing it as a character, then add the main parts together in one area to get the best of both app features in main () this is python streamlit application. import streamlit as st
from azure.cosmos import CosmosClient, exceptions
import os
import pandas as pd
import traceback
import shutil
from github import Github
from git import Repo
from datetime import datetime
import base64
import json
import uuid # π² For generating unique IDs
from urllib.parse import quote # π For encoding URLs
from gradio_client import Client # π For connecting to Gradio apps
π Welcome to our fun-filled Cosmos DB and GitHub Integration app!
st.set_page_config(layout="wide")
π Cosmos DB configuration
ENDPOINT = "https://acae-afd.documents.azure.com:443/"
DATABASE_NAME = os.environ.get("COSMOS_DATABASE_NAME")
CONTAINER_NAME = os.environ.get("COSMOS_CONTAINER_NAME")
Key = os.environ.get("Key") # π Don't forget your key!
π Your local app URL (Change this to your app's URL)
LOCAL_APP_URL = "https://huggingface.co/spaces/awacke1/AzureCosmosDBUI"
π€ OpenAI configuration
openai.api_key = os.environ.get("OPENAI_API_KEY")
MODEL = "gpt-3.5-turbo" # Replace with your desired model
π GitHub configuration
def download_github_repo(url, local_path):
# π Let's download that GitHub repo!
if os.path.exists(local_path):
shutil.rmtree(local_path)
Repo.clone_from(url, local_path)
def create_zip_file(source_dir, output_filename):
# π¦ Zipping up files like a pro!
shutil.make_archive(output_filename, 'zip', source_dir)
def create_repo(g, repo_name):
# π οΈ Creating a new GitHub repo. Magic!
user = g.get_user()
return user.create_repo(repo_name)
def push_to_github(local_path, repo, github_token):
# π Pushing code to GitHub. Hold on tight!
repo_url = f"https://{github_token}@github.com/{repo.full_name}.git"
local_repo = Repo(local_path)
if 'origin' in [remote.name for remote in local_repo.remotes]:
origin = local_repo.remote('origin')
origin.set_url(repo_url)
else:
origin = local_repo.create_remote('origin', repo_url)
if not local_repo.heads:
local_repo.git.checkout('-b', 'main')
current_branch = 'main'
else:
current_branch = local_repo.active_branch.name
local_repo.git.add(A=True)
if local_repo.is_dirty():
local_repo.git.commit('-m', 'Initial commit')
origin.push(refspec=f'{current_branch}:{current_branch}')
def get_base64_download_link(file_path, file_name):
# π§ββοΈ Generating a magical download link!
with open(file_path, "rb") as file:
contents = file.read()
base64_encoded = base64.b64encode(contents).decode()
return f'β¬οΈ Download {file_name}'
π§ New functions for dynamic sidebar navigation
def get_databases(client):
# π Fetching list of databases. So many options!
return [db['id'] for db in client.list_databases()]
def get_containers(database):
# π Getting containers. Containers within containers!
return [container['id'] for container in database.list_containers()]
def get_documents(container, limit=None):
# π Retrieving documents. Shhh, don't tell anyone!
query = "SELECT * FROM c ORDER BY c._ts DESC"
items = list(container.query_items(query=query, enable_cross_partition_query=True, max_item_count=limit))
return items
π Cosmos DB functions
def insert_record(container, record):
# π₯ Inserting a record into the Cosmosβhope we don't disturb any aliens! π½
try:
container.create_item(body=record)
return True, "Record inserted successfully! π"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
def update_record(container, updated_record):
# π Updating a recordβgiving it a cosmic makeover! β¨
try:
container.upsert_item(body=updated_record)
return True, f"Record with id {updated_record['id']} successfully updated. π οΈ"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {traceback.format_exc()} π±"
def delete_record(container, name, id):
# ποΈ Deleting a recordβsending it into the cosmic void! π
try:
container.delete_item(item=id, partition_key=id)
return True, f"Successfully deleted record with name: {name} and id: {id} ποΈ"
except exceptions.CosmosResourceNotFoundError:
return False, f"Record with id {id} not found. It may have been already deleted. π΅οΈββοΈ"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {traceback.format_exc()} π±"
π² Function to generate a unique UUID
def generate_unique_id():
# π§ββοΈ Generating a unique UUID!
return str(uuid.uuid4())
π¦ Function to archive current container
def archive_current_container(database_name, container_name, client):
# π¦ Archiving the entire containerβtime to pack up the stars! π
try:
base_dir = "./cosmos_archive_current_container"
if os.path.exists(base_dir):
shutil.rmtree(base_dir)
os.makedirs(base_dir)
db_client = client.get_database_client(database_name)
container_client = db_client.get_container_client(container_name)
items = list(container_client.read_all_items())
container_dir = os.path.join(base_dir, container_name)
os.makedirs(container_dir)
for item in items:
item_id = item.get('id', f"unknown_{datetime.now().strftime('%Y%m%d%H%M%S')}")
with open(os.path.join(container_dir, f"{item_id}.json"), 'w') as f:
json.dump(item, f, indent=2)
archive_name = f"{container_name}_archive_{datetime.now().strftime('%Y%m%d%H%M%S')}"
shutil.make_archive(archive_name, 'zip', base_dir)
return get_base64_download_link(f"{archive_name}.zip", f"{archive_name}.zip")
except Exception as e:
return f"An error occurred while archiving data: {str(e)} π’"
π Helper to extract hyperlinks
def extract_hyperlinks(responses):
# π Extracting hyperlinksβconnecting the dots across the universe! πΈοΈ
hyperlinks = []
for response in responses:
parsed_response = json.loads(response)
links = [value for key, value in parsed_response.items() if isinstance(value, str) and value.startswith("http")]
hyperlinks.extend(links)
return hyperlinks
π Helper to format text with line numbers
def format_with_line_numbers(text):
# π Formatting text with line numbersβorganizing the cosmos one line at a time! π
lines = text.splitlines()
formatted_text = '\n'.join(f"{i+1}: {line}" for i, line in enumerate(lines))
return formatted_text
def generate_unique_id():
return str(uuid.uuid4())
def get_databases(client):
return [db['id'] for db in client.list_databases()]
def get_containers(database):
return [container['id'] for container in database.list_containers()]
def get_documents(container, limit=None):
query = "SELECT * FROM c ORDER BY c._ts DESC"
items = list(container.query_items(query=query, enable_cross_partition_query=True, max_item_count=limit))
return items
def save_to_cosmos_db(container, query, response1, response2):
try:
if container:
record = {
"id": generate_unique_id(),
"query": query,
"response1": response1,
"response2": response2
}
try:
container.create_item(body=record)
st.success(f"Record saved successfully with ID: {record['id']}")
# Refresh the documents display
st.session_state.documents = get_documents(container)
except exceptions.CosmosHttpResponseError as e:
st.error(f"Error saving record to Cosmos DB: {e}")
else:
st.error("Cosmos DB container is not initialized.")
except Exception as e:
st.error(f"An unexpected error occurred: {str(e)}")
Add dropdowns for model and database choices
def search_glossary(query):
st.markdown(f"### π Search Glossary for: {query}
")
# Dropdown for model selection
model_options = ['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']
model_choice = st.selectbox('π§ Select LLM Model', options=model_options, index=1)
# Dropdown for database selection
database_options = ['Semantic Search', 'Arxiv Search - Latest - (EXPERIMENTAL)']
database_choice = st.selectbox('π Select Database', options=database_options, index=0)
# Run Button with Emoji
#if st.button("π Run"):
# π΅οΈββοΈ Searching the glossary for: query
all_results = ""
st.markdown(f"- {query}")
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM
#database_choice Literal['Semantic Search', 'Arxiv Search - Latest - (EXPERIMENTAL)'] Default: "Semantic Search"
#llm_model_picked Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None'] Default: "mistralai/Mistral-7B-Instruct-v0.2"
client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result = client.predict(
prompt=query,
llm_model_picked="mistralai/Mixtral-8x7B-Instruct-v0.1",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result)
st.code(result, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result2 = client.predict(
prompt=query,
llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result2)
st.code(result2, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /ask_llm
result3 = client.predict(
prompt=query,
llm_model_picked="google/gemma-7b-it",
stream_outputs=True,
api_name="/ask_llm"
)
st.markdown(result3)
st.code(result3, language="python", line_numbers=True)
# π ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM - api_name: /update_with_rag_md
response2 = client.predict(
message=query, # str in 'parameter_13' Textbox component
llm_results_use=10,
database_choice="Semantic Search",
llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
api_name="/update_with_rag_md"
) # update_with_rag_md Returns tuple of 2 elements [0] str The output value that appears in the "value_14" Markdown component. [1] str
st.markdown(response2[0])
st.code(response2[0], language="python", line_numbers=True, wrap_lines=True)
st.markdown(response2[1])
st.code(response2[1], language="python", line_numbers=True, wrap_lines=True)
# When saving results, pass the container
try:
save_to_cosmos_db(st.session_state.cosmos_container, query, result, result)
save_to_cosmos_db(st.session_state.cosmos_container, query, result2, result2)
save_to_cosmos_db(st.session_state.cosmos_container, query, result3, result3)
save_to_cosmos_db(st.session_state.cosmos_container, query, response2[0], response2[0])
save_to_cosmos_db(st.session_state.cosmos_container, query, response2[1], response2[1])
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
try:
# Aggregate hyperlinks and show with emojis
hyperlinks = extract_hyperlinks([response1, response2])
st.markdown("### π Aggregated Hyperlinks")
for link in hyperlinks:
st.markdown(f"π [{link}]({link})")
# Show responses in a code format with line numbers
st.markdown("### π Response Outputs with Line Numbers")
st.code(f"Response 1: \n{format_with_line_numbers(response1)}\n\nResponse 2: \n{format_with_line_numbers(response2)}", language="json")
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
π€ Function to process text input
def process_text(text_input):
# π€ Processing text inputβtranslating human words into cosmic signals! π‘
if text_input:
if 'messages' not in st.session_state:
st.session_state.messages = []
st.session_state.messages.append({"role": "user", "content": text_input})
with st.chat_message("user"):
st.markdown(text_input)
with st.chat_message("assistant"):
search_glossary(text_input)
π Function to generate a filename
def generate_filename(text, file_type):
# π Generate a filename based on the text input
safe_text = "".join(c if c.isalnum() or c in (' ', '.', '') else '' for c in text)
safe_text = "_".join(safe_text.strip().split())
filename = f"{safe_text}.{file_type}"
return filename
π΅οΈββοΈ Function to extract markdown title
def extract_markdown_title(content):
# π΅οΈββοΈ Extracting markdown titleβfinding the headline in the cosmic news! π°
lines = content.splitlines()
for line in lines:
if line.startswith('#'):
return line.lstrip('#').strip()
return None
πΎ Function to create and save a file
def create_and_save_file(content, file_type="md", prompt=None, is_image=False, should_save=True):
# πΎ Creating and saving a fileβcapturing cosmic wisdom! π
if not should_save:
return None
# Step 1: Generate filename based on the prompt or content
filename = generate_filename(prompt if prompt else content, file_type)
# Step 2: If it's a markdown file, check if it has a title
if file_type == "md":
title_from_content = extract_markdown_title(content)
if title_from_content:
filename = generate_filename(title_from_content, file_type)
# Step 3: Save the file
with open(filename, "w", encoding="utf-8") as f:
if is_image:
f.write(content)
else:
f.write(prompt + "\n\n" + content)
return filename
π€ Function to insert an auto-generated record
def insert_auto_generated_record(container):
# π€ Automatically generating a record and inserting it into Cosmos DB!
try:
# Generate a unique id
new_id = generate_unique_id()
# Create a sample JSON document
new_doc = {
'id': new_id,
'name': f'Sample Name {new_id[:8]}',
'description': 'This is a sample auto-generated description.',
'timestamp': datetime.utcnow().isoformat()
}
# Insert the document
container.create_item(body=new_doc)
return True, f"Record inserted successfully with id: {new_id} π"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
π Main function
def main():
# π Let's modify the main app to be more fun!
st.title("πGitπCosmosπ« - Azure Cosmos DB and Github Agent")
# π¦ Initialize session state
if 'logged_in' not in st.session_state:
st.session_state.logged_in = False
if 'selected_records' not in st.session_state:
st.session_state.selected_records = []
if 'client' not in st.session_state:
st.session_state.client = None
if 'selected_database' not in st.session_state:
st.session_state.selected_database = None
if 'selected_container' not in st.session_state:
st.session_state.selected_container = None
if 'selected_document_id' not in st.session_state:
st.session_state.selected_document_id = None
if 'current_index' not in st.session_state:
st.session_state.current_index = 0
if 'cloned_doc' not in st.session_state:
st.session_state.cloned_doc = None
# βοΈ q= Run ArXiv search from query parameters
try:
query_params = st.query_params
query = query_params.get('q') or query_params.get('query') or ''
if query:
# π΅οΈββοΈ We have a query! Let's process it!
process_text(query)
st.stop() # Stop further execution
except Exception as e:
st.markdown(' ')
# π Automatic Login
if Key:
st.session_state.primary_key = Key
st.session_state.logged_in = True
else:
st.error("Cosmos DB Key is not set in environment variables. πβ")
return # Can't proceed without a key
if st.session_state.logged_in:
# π Initialize Cosmos DB client
try:
if st.session_state.client is None:
st.session_state.client = CosmosClient(ENDPOINT, credential=st.session_state.primary_key)
# ποΈ Sidebar for database, container, and document selection
st.sidebar.title("πGitπCosmosπ«ποΈNavigator")
databases = get_databases(st.session_state.client)
selected_db = st.sidebar.selectbox("ποΈ Select Database", databases)
if selected_db != st.session_state.selected_database:
st.session_state.selected_database = selected_db
st.session_state.selected_container = None
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if st.session_state.selected_database:
database = st.session_state.client.get_database_client(st.session_state.selected_database)
containers = get_containers(database)
selected_container = st.sidebar.selectbox("π Select Container", containers)
if selected_container != st.session_state.selected_container:
st.session_state.selected_container = selected_container
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if st.session_state.selected_container:
container = database.get_container_client(st.session_state.selected_container)
# π¦ Add Export button
if st.button("π¦ Export Container Data"):
download_link = archive_current_container(st.session_state.selected_database, st.session_state.selected_container, st.session_state.client)
if download_link.startswith('<a'):
st.markdown(download_link, unsafe_allow_html=True)
else:
st.error(download_link)
# Fetch documents
documents = get_documents(container)
total_docs = len(documents)
if total_docs > 5:
documents_to_display = documents[:5]
st.info("Showing top 5 most recent documents.")
else:
documents_to_display = documents
st.info(f"Showing all {len(documents_to_display)} documents.")
if documents_to_display:
# π¨ Add Viewer/Editor selection
view_options = ['Show as Markdown', 'Show as Code Editor', 'Show as Edit and Save', 'Clone Document', 'New Record']
selected_view = st.selectbox("Select Viewer/Editor", view_options, index=2)
if selected_view == 'Show as Markdown':
# ποΈ Show each record as Markdown with navigation
total_docs = len(documents)
doc = documents[st.session_state.current_index]
st.markdown(f"#### Document ID: {doc.get('id', '')}")
# π΅οΈββοΈ Let's extract values from the JSON that have at least one space
values_with_space = []
def extract_values(obj):
if isinstance(obj, dict):
for k, v in obj.items():
extract_values(v)
elif isinstance(obj, list):
for item in obj:
extract_values(item)
elif isinstance(obj, str):
if ' ' in obj:
values_with_space.append(obj)
extract_values(doc)
# π Let's create a list of links for these values
search_urls = {
"ππArXiv": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}",
"πAnalyst": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}-{quote('PromptPrefix')}",
"πPyCoder": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}-{quote('PromptPrefix2')}",
"π¬JSCoder": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}-{quote('PromptPrefix3')}",
"π ": lambda k: f"{LOCAL_APP_URL}/?q={quote(k)}",
"π": lambda k: f"https://en.wikipedia.org/wiki/{quote(k)}",
"π": lambda k: f"https://www.google.com/search?q={quote(k)}",
"βΆοΈ": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
"π": lambda k: f"https://www.bing.com/search?q={quote(k)}",
"π₯": lambda k: f"https://www.youtube.com/results?search_query={quote(k)}",
"π¦": lambda k: f"https://twitter.com/search?q={quote(k)}",
}
st.markdown("#### π Links for Extracted Texts")
for term in values_with_space:
links_md = ' '.join([f"[{emoji}]({url(term)})" for emoji, url in search_urls.items()])
st.markdown(f"**{term}** <small>{links_md}</small>", unsafe_allow_html=True)
# Show the document content as markdown
content = json.dumps(doc, indent=2)
st.markdown(f"```json\n{content}\n```")
# Navigation buttons
col_prev, col_next = st.columns([1, 1])
with col_prev:
if st.button("β¬
οΈ Previous", key='prev_markdown'):
if st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ Next", key='next_markdown'):
if st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
elif selected_view == 'Show as Code Editor':
# π» Show each record in a code editor with navigation
total_docs = len(documents)
doc = documents[st.session_state.current_index]
st.markdown(f"#### Document ID: {doc.get('id', '')}")
doc_str = st.text_area("Edit Document", value=json.dumps(doc, indent=2), height=300, key=f'code_editor_{st.session_state.current_index}')
col_prev, col_next = st.columns([1, 1])
with col_prev:
if st.button("β¬
οΈ Previous", key='prev_code'):
if st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ Next", key='next_code'):
if st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
if st.button("πΎ Save Changes", key=f'save_button_{st.session_state.current_index}'):
try:
updated_doc = json.loads(doc_str)
success, message = update_record(container, updated_doc)
if success:
st.success(f"Document {updated_doc['id']} saved successfully.")
st.session_state.selected_document_id = updated_doc['id']
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
elif selected_view == 'Show as Edit and Save':
# βοΈ Show as Edit and Save in columns
st.markdown("#### Edit the document fields below:")
# Create columns for each document
num_cols = len(documents_to_display)
cols = st.columns(num_cols)
for idx, (col, doc) in enumerate(zip(cols, documents_to_display)):
with col:
st.markdown(f"##### Document ID: {doc.get('id', '')}")
editable_id = st.text_input("ID", value=doc.get('id', ''), key=f'edit_id_{idx}')
# Remove 'id' from the document for editing other fields
editable_doc = doc.copy()
editable_doc.pop('id', None)
doc_str = st.text_area("Document Content (in JSON format)", value=json.dumps(editable_doc, indent=2), height=300, key=f'doc_str_{idx}')
# Add the "Run With AI" button next to "Save Changes"
col_save, col_ai = st.columns(2)
with col_save:
if st.button("πΎ Save Changes", key=f'save_button_{idx}'):
try:
updated_doc = json.loads(doc_str)
updated_doc['id'] = editable_id # Include the possibly edited ID
success, message = update_record(container, updated_doc)
if success:
st.success(f"Document {updated_doc['id']} saved successfully.")
st.session_state.selected_document_id = updated_doc['id']
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
with col_ai:
if st.button("π€ Run With AI", key=f'run_with_ai_button_{idx}'):
# Use the entire document as input
search_glossary(json.dumps(editable_doc, indent=2))
elif selected_view == 'Clone Document':
# 𧬠Clone Document per record
st.markdown("#### Clone a document:")
for idx, doc in enumerate(documents_to_display):
st.markdown(f"##### Document ID: {doc.get('id', '')}")
if st.button("π Clone Document", key=f'clone_button_{idx}'):
cloned_doc = doc.copy()
# Generate a unique ID
cloned_doc['id'] = generate_unique_id()
st.session_state.cloned_doc = cloned_doc
st.session_state.cloned_doc_str = json.dumps(cloned_doc, indent=2)
st.session_state.clone_mode = True
st.rerun()
if st.session_state.get('clone_mode', False):
st.markdown("#### Edit Cloned Document:")
cloned_doc_str = st.text_area("Cloned Document Content (in JSON format)", value=st.session_state.cloned_doc_str, height=300)
if st.button("πΎ Save Cloned Document"):
try:
new_doc = json.loads(cloned_doc_str)
success, message = insert_record(container, new_doc)
if success:
st.success(f"Cloned document saved with id: {new_doc['id']} π")
st.session_state.selected_document_id = new_doc['id']
st.session_state.clone_mode = False
st.session_state.cloned_doc = None
st.session_state.cloned_doc_str = ''
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
elif selected_view == 'New Record':
# π New Record
st.markdown("#### Create a new document:")
if st.button("π€ Insert Auto-Generated Record"):
success, message = insert_auto_generated_record(container)
if success:
st.success(message)
st.rerun()
else:
st.error(message)
else:
new_id = st.text_input("ID", value=generate_unique_id(), key='new_id')
new_doc_str = st.text_area("Document Content (in JSON format)", value='{}', height=300)
if st.button("β Create New Document"):
try:
new_doc = json.loads(new_doc_str)
new_doc['id'] = new_id # Use the provided ID
success, message = insert_record(container, new_doc)
if success:
st.success(f"New document created with id: {new_doc['id']} π")
st.session_state.selected_document_id = new_doc['id']
# Switch to 'Show as Edit and Save' mode
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
else:
st.sidebar.info("No documents found in this container. π")
# π Main content area
st.subheader(f"π Container: {st.session_state.selected_container}")
if st.session_state.selected_container:
if documents_to_display:
df = pd.DataFrame(documents_to_display)
st.dataframe(df)
else:
st.info("No documents to display. π§")
# π GitHub section
st.subheader("π GitHub Operations")
github_token = os.environ.get("GITHUB") # Read GitHub token from environment variable
source_repo = st.text_input("Source GitHub Repository URL", value="https://github.com/AaronCWacker/AIExamples-8-24-Streamlit")
new_repo_name = st.text_input("New Repository Name (for cloning)", value=f"AIExample-Clone-{datetime.now().strftime('%Y%m%d_%H%M%S')}")
col1, col2 = st.columns(2)
with col1:
if st.button("π₯ Clone Repository"):
if github_token and source_repo:
try:
local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d%H%M%S')}"
download_github_repo(source_repo, local_path)
zip_filename = f"{new_repo_name}.zip"
create_zip_file(local_path, zip_filename[:-4])
st.markdown(get_base64_download_link(zip_filename, zip_filename), unsafe_allow_html=True)
st.success("Repository cloned successfully! π")
except Exception as e:
st.error(f"An error occurred: {str(e)} π’")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
if os.path.exists(zip_filename):
os.remove(zip_filename)
else:
st.error("Please ensure GitHub token is set in environment variables and source repository URL is provided. πβ")
with col2:
if st.button("π€ Push to New Repository"):
if github_token and source_repo:
try:
g = Github(github_token)
new_repo = create_repo(g, new_repo_name)
local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d%H%M%S')}"
download_github_repo(source_repo, local_path)
push_to_github(local_path, new_repo, github_token)
st.success(f"Repository pushed successfully to {new_repo.html_url} π")
except Exception as e:
st.error(f"An error occurred: {str(e)} π’")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
else:
st.error("Please ensure GitHub token is set in environment variables and source repository URL is provided. πβ")
except exceptions.CosmosHttpResponseError as e:
st.error(f"Failed to connect to Cosmos DB. HTTP error: {str(e)} π¨")
except Exception as e:
st.error(f"An unexpected error occurred: {str(e)} π±")
# πͺ Logout button
if st.session_state.logged_in and st.sidebar.button("πͺ Logout"):
st.session_state.logged_in = False
st.session_state.selected_records.clear()
st.session_state.client = None
st.session_state.selected_database = None
st.session_state.selected_container = None
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if name == "main":
main()
import streamlit as st
from azure.cosmos import CosmosClient, exceptions
import os
import pandas as pd
import traceback
import shutil
from github import Github
from git import Repo
from datetime import datetime
import base64
import json
import uuid # π² For generating unique IDs
from urllib.parse import quote # π For encoding URLs
from gradio_client import Client # π For connecting to Gradio apps
import anthropic
import pytz
import re
from PIL import Image
import glob
from streamlit.components.v1 import html
π Welcome to our epic Cosmos DB, GitHub, and Claude App! The universe is at your command π
st.set_page_config(
page_title="π€GitπCosmosπ« & Claudeπ§ ",
page_icon="π€ππ«π",
layout="wide",
initial_sidebar_state="auto",
menu_items={
'Get Help': 'https://huggingface.co/awacke1',
'Report a bug': 'https://huggingface.co/spaces/awacke1',
'About': 'πGitπCosmosπ« - Azure Cosmos DB and GitHub Agent, Now with Claude!'
}
)
π Cosmos DB configuration
ENDPOINT = "https://acae-afd.documents.azure.com:443/"
DATABASE_NAME = os.environ.get("COSMOS_DATABASE_NAME")
CONTAINER_NAME = os.environ.get("COSMOS_CONTAINER_NAME")
Key = os.environ.get("Key") # π Don't forget your key!
Set up the Anthropic client (Claude time π€π§ )
client_anthropic = anthropic.Anthropic(api_key=os.environ.get("ANTHROPIC_API_KEY"))
Set up Gradio client for ArXiv queries (ArXiv, the scholar's playground π)
client_gradio = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
π GitHub configuration
def download_github_repo(url, local_path):
# π Let's download that GitHub repo!
if os.path.exists(local_path):
shutil.rmtree(local_path)
Repo.clone_from(url, local_path)
def create_zip_file(source_dir, output_filename):
# π¦ Zipping up files like a pro!
shutil.make_archive(output_filename, 'zip', source_dir)
def create_repo(g, repo_name):
# π οΈ Creating a new GitHub repo. It's alive!
user = g.get_user()
return user.create_repo(repo_name)
def push_to_github(local_path, repo, github_token):
# π Pushing code to GitHub. Blast off!
repo_url = f"https://{github_token}@github.com/{repo.full_name}.git"
local_repo = Repo(local_path)
if 'origin' in [remote.name for remote in local_repo.remotes]:
#if 'origin' in [remote.name for remote.local_repo.remotes]: --error
origin = local_repo.remote('origin')
origin.set_url(repo_url)
else:
origin = local_repo.create_remote('origin', repo_url)
if not local_repo.heads:
local_repo.git.checkout('-b', 'main')
current_branch = 'main'
else:
current_branch = local_repo.active_branch.name
local_repo.git.add(A=True)
if local_repo.is_dirty():
local_repo.git.commit('-m', 'Initial commit')
origin.push(refspec=f'{current_branch}:{current_branch}')
def get_base64_download_link(file_path, file_name):
# π§ββοΈ Generating a magical download link!
with open(file_path, "rb") as file:
contents = file.read()
base64_encoded = base64.b64encode(contents).decode()
return f'β¬οΈ Download {file_name}'
π Cosmos DB functions
def insert_record(container, record):
try:
container.create_item(body=record)
return True, "Record inserted successfully! π"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
return False, f"An unexpected error occurred: {str(e)} π±"
π² Function to generate a unique UUID
def generate_unique_id():
return str(uuid.uuid4())
Claude π§ Chat handling (Wise responses guaranteed! π€)
def chat_with_claude(user_input):
response = client_anthropic.messages.create(
model="claude-3-sonnet-20240229",
max_tokens=1000,
messages=[
{"role": "user", "content": user_input}
]
)
return response.content[0].text
File handling (Save that wisdom in files! πΎ)
def generate_filename(prompt, file_type):
central = pytz.timezone('US/Central')
safe_date_time = datetime.now(central).strftime("%m%d_%H%M")
safe_prompt = re.sub(r'\W+', '', prompt)[:90]
return f"{safe_date_time}{safe_prompt}.{file_type}"
def create_file(filename, prompt, response, should_save=True):
if not should_save:
return
with open(filename, 'w', encoding='utf-8') as file:
file.write(prompt + "\n\n" + response)
def load_file(file_name):
with open(file_name, "r", encoding='utf-8') as file:
content = file.read()
return content
π¨ Image and media handling (Let's look at some visuals! πΈπ¬πΆ)
def get_video_html(video_path, width="100%"):
video_url = f"data:video/mp4;base64,{base64.b64encode(open(video_path, 'rb').read()).decode()}"
return f'''
'''
def get_audio_html(audio_path, width="100%"):
audio_url = f"data:audio/mpeg;base64,{base64.b64encode(open(audio_path, 'rb').read()).decode()}"
return f'''
'''
Streamlit layout (because a clean UI is key! π )
def main():
st.title("πGitπCosmosπ« & Claudeπ§ - The Ultimate App")
# Sidebar navigation (The command center π§)
st.sidebar.title("π§ Claudeπ & Cosmos Explorer")
# Cosmos DB Section
st.sidebar.header("Cosmos DB Controls")
if Key:
st.session_state.primary_key = Key
st.session_state.logged_in = True
if st.session_state.logged_in:
st.sidebar.write("π Connected to Cosmos DB!")
# Fetch documents
cosmos_client = CosmosClient(ENDPOINT, credential=st.session_state.primary_key)
databases = [db['id'] for db in cosmos_client.list_databases()]
selected_db = st.sidebar.selectbox("Select Database", databases)
if selected_db:
db_client = cosmos_client.get_database_client(selected_db)
containers = [container['id'] for container in db_client.list_containers()]
selected_container = st.sidebar.selectbox("Select Container", containers)
if selected_container:
container = db_client.get_container_client(selected_container)
documents = list(container.read_all_items())
if documents:
st.write("π Document List:")
df = pd.DataFrame(documents)
st.dataframe(df)
else:
st.write("π No documents in this container.")
# Claude Chat Section
st.header("Chat with Claude π€π§ ")
user_input = st.text_area("Ask Claude anything:")
if st.button("Send"):
if user_input:
response = chat_with_claude(user_input)
st.write(f"Claude says: {response}")
filename = generate_filename(user_input, "md")
create_file(filename, user_input, response)
if 'chat_history' not in st.session_state:
st.session_state.chat_history = []
st.session_state.chat_history.append({"user": user_input, "claude": response})
if "chat_history" in st.session_state:
st.subheader("Past Conversations π")
for chat in st.session_state.chat_history:
st.text_area("You said π¬:", chat["user"], height=100, disabled=True)
st.text_area("Claude replied π€:", chat["claude"], height=200, disabled=True)
st.markdown("---")
# Media Galleries (For those who prefer images and videos πΌπ₯πΆ)
st.subheader("Image Gallery πΌ")
image_files = glob.glob("*.png") + glob.glob("*.jpg")
cols = st.columns(3)
for idx, image_file in enumerate(image_files):
with cols[idx % 3]:
img = Image.open(image_file)
st.image(img)
st.subheader("Video Gallery π₯")
video_files = glob.glob("*.mp4")
for video_file in video_files:
st.markdown(get_video_html(video_file), unsafe_allow_html=True)
st.subheader("Audio Gallery πΆ")
audio_files = glob.glob("*.mp3") + glob.glob("*.wav")
for audio_file in audio_files:
st.markdown(get_audio_html(audio_file), unsafe_allow_html=True)
if name == "main":
main()
Finally good output courtesy o GPT-4o - the continue champ! It was tough but much simpler program now reduction of loc by increased 1k lines reduced to around 400 key lines in data patterns. import streamlit as st
from azure.cosmos import CosmosClient, exceptions
import os
import pandas as pd
import traceback
import shutil
from github import Github
from git import Repo
from datetime import datetime
import base64
import json
import uuid # π² For generating unique IDs
from urllib.parse import quote # π For encoding URLs
from gradio_client import Client # π For connecting to Gradio apps
π Welcome to our fun-filled Cosmos DB and GitHub Integration app!
st.set_page_config(layout="wide")
π Cosmos DB configuration
ENDPOINT = "https://acae-afd.documents.azure.com:443/"
DATABASE_NAME = os.environ.get("COSMOS_DATABASE_NAME")
CONTAINER_NAME = os.environ.get("COSMOS_CONTAINER_NAME")
Key = os.environ.get("Key") # π Don't forget your key!
π Your local app URL (Change this to your app's URL)
LOCAL_APP_URL = "https://huggingface.co/spaces/awacke1/AzureCosmosDBUI"
π Initialize logging system
if 'logs' not in st.session_state:
st.session_state.logs = []
def log_event(message):
"""Adds a log entry to the log session state."""
timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
st.session_state.logs.append(f"[{timestamp}] {message}")
π Add logs to sidebar
st.sidebar.title("π Log Viewer")
st.sidebar.write("\n".join(st.session_state.logs))
π€ OpenAI configuration
openai.api_key = os.environ.get("OPENAI_API_KEY")
MODEL = "gpt-3.5-turbo" # Replace with your desired model
π Cosmos DB functions
def insert_record(container, record):
try:
container.create_item(body=record)
log_event("Record inserted successfully!")
return True, "Record inserted successfully! π"
except exceptions.CosmosHttpResponseError as e:
log_event(f"HTTP error occurred: {str(e)} π¨")
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
log_event(f"An unexpected error occurred: {str(e)} π±")
return False, f"An unexpected error occurred: {str(e)} π±"
def update_record(container, updated_record):
try:
container.upsert_item(body=updated_record)
log_event(f"Record with id {updated_record['id']} successfully updated.")
return True, f"Record with id {updated_record['id']} successfully updated. π οΈ"
except exceptions.CosmosHttpResponseError as e:
log_event(f"HTTP error occurred: {str(e)} π¨")
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
log_event(f"An unexpected error occurred: {traceback.format_exc()} π±")
return False, f"An unexpected error occurred: {traceback.format_exc()} π±"
def delete_record(container, name, id):
try:
container.delete_item(item=id, partition_key=id)
log_event(f"Successfully deleted record with name: {name} and id: {id}")
return True, f"Successfully deleted record with name: {name} and id: {id} ποΈ"
except exceptions.CosmosResourceNotFoundError:
log_event(f"Record with id {id} not found. It may have been already deleted.")
return False, f"Record with id {id} not found. It may have been already deleted. π΅οΈββοΈ"
except exceptions.CosmosHttpResponseError as e:
log_event(f"HTTP error occurred: {str(e)} π¨")
return False, f"HTTP error occurred: {str(e)} π¨"
except Exception as e:
log_event(f"An unexpected error occurred: {traceback.format_exc()} π±")
return False, f"An unexpected error occurred: {traceback.format_exc()} π±"
π² Function to generate a unique UUID
def generate_unique_id():
return str(uuid.uuid4())
def get_databases(client):
return [db['id'] for db in client.list_databases()]
def get_containers(database):
return [container['id'] for container in database.list_containers()]
def get_documents(container, limit=None):
query = "SELECT * FROM c ORDER BY c._ts DESC"
items = list(container.query_items(query=query, enable_cross_partition_query=True, max_item_count=limit))
return items
def save_to_cosmos_db(container, query, response1, response2):
try:
if container:
record = {
"id": generate_unique_id(),
"query": query,
"response1": response1,
"response2": response2
}
try:
container.create_item(body=record)
st.success(f"Record saved successfully with ID: {record['id']}")
log_event(f"Record saved to Cosmos DB with ID: {record['id']}")
# Refresh the documents display
st.session_state.documents = get_documents(container)
except exceptions.CosmosHttpResponseError as e:
st.error(f"Error saving record to Cosmos DB: {e}")
log_event(f"Error saving record to Cosmos DB: {e}")
else:
st.error("Cosmos DB container is not initialized.")
log_event("Error: Cosmos DB container is not initialized.")
except Exception as e:
st.error(f"An unexpected error occurred: {str(e)}")
log_event(f"An unexpected error occurred while saving to Cosmos DB: {str(e)}")
π€ Function to process text input
def process_text(text_input):
if text_input:
if 'messages' not in st.session_state:
st.session_state.messages = []
st.session_state.messages.append({"role": "user", "content": text_input})
with st.chat_message("user"):
st.markdown(text_input)
with st.chat_message("assistant"):
search_glossary(text_input)
π Main function
def main():
st.title("πGitπCosmosπ« - Azure Cosmos DB and Github Agent")
if 'logged_in' not in st.session_state:
st.session_state.logged_in = False
if 'selected_records' not in st.session_state:
st.session_state.selected_records = []
if 'client' not in st.session_state:
st.session_state.client = None
if 'selected_database' not in st.session_state:
st.session_state.selected_database = None
if 'selected_container' not in st.session_state:
st.session_state.selected_container = None
if 'selected_document_id' not in st.session_state:
st.session_state.selected_document_id = None
if 'current_index' not in st.session_state:
st.session_state.current_index = 0
if 'cloned_doc' not in st.session_state:
st.session_state.cloned_doc = None
# βοΈ Check query parameters for any action
try:
query_params = st.query_params
query = query_params.get('q') or query_params.get('query') or ''
if query:
process_text(query)
st.stop()
except Exception as e:
st.markdown(' ')
# π Automatic Login
if Key:
st.session_state.primary_key = Key
st.session_state.logged_in = True
else:
st.error("Cosmos DB Key is not set in environment variables. πβ")
return
if st.session_state.logged_in:
# π Initialize Cosmos DB client
try:
if st.session_state.client is None:
st.session_state.client = CosmosClient(ENDPOINT, credential=st.session_state.primary_key)
st.sidebar.title("πGitπCosmosπ«ποΈNavigator")
databases = get_databases(st.session_state.client)
selected_db = st.sidebar.selectbox("ποΈ Select Database", databases)
if selected_db != st.session_state.selected_database:
st.session_state.selected_database = selected_db
st.session_state.selected_container = None
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if st.session_state.selected_database:
database = st.session_state.client.get_database_client(st.session_state.selected_database)
containers = get_containers(database)
selected_container = st.sidebar.selectbox("π Select Container", containers)
if selected_container != st.session_state.selected_container:
st.session_state.selected_container = selected_container
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if st.session_state.selected_container:
container = database.get_container_client(st.session_state.selected_container)
# π¦ Add Export button
if st.button("π¦ Export Container Data"):
download_link = archive_current_container(st.session_state.selected_database, st.session_state.selected_container, st.session_state.client)
if download_link.startswith('<a'):
st.markdown(download_link, unsafe_allow_html=True)
else:
st.error(download_link)
# Fetch documents
documents = get_documents(container)
total_docs = len(documents)
if total_docs > 5:
documents_to_display = documents[:5]
st.info("Showing top 5 most recent documents.")
else:
documents_to_display = documents
st.info(f"Showing all {len(documents_to_display)} documents.")
if documents_to_display:
# π¨ Add Viewer/Editor selection
view_options = ['Show as Markdown', 'Show as Code Editor', 'Show as Edit and Save', 'Clone Document', 'New Record']
selected_view = st.selectbox("Select Viewer/Editor", view_options, index=2)
if selected_view == 'Show as Markdown':
doc = documents[st.session_state.current_index]
st.markdown(f"#### Document ID: {doc.get('id', '')}")
content = json.dumps(doc, indent=2)
st.markdown(f"```json\n{content}\n```")
col_prev, col_next = st.columns([1, 1])
with col_prev:
if st.button("β¬
οΈ Previous", key='prev_markdown'):
if st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ Next", key='next_markdown'):
if st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
elif selected_view == 'Show as Code Editor':
doc = documents[st.session_state.current_index]
st.markdown(f"#### Document ID: {doc.get('id', '')}")
doc_str = st.text_area("Edit Document", value=json.dumps(doc, indent=2), height=300, key=f'code_editor_{st.session_state.current_index}')
col_prev, col_next = st.columns([1, 1])
with col_prev:
if st.button("β¬
οΈ Previous", key='prev_code'):
if st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ Next", key='next_code'):
if st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
if st.button("πΎ Save Changes", key=f'save_button_{st.session_state.current_index}'):
try:
updated_doc = json.loads(doc_str)
success, message = update_record(container, updated_doc)
if success:
st.success(f"Document {updated_doc['id']} saved successfully.")
st.session_state.selected_document_id = updated_doc['id']
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
elif selected_view == 'Show as Edit and Save':
st.markdown("#### Edit the document fields below:")
num_cols = len(documents_to_display)
cols = st.columns(num_cols)
for idx, (col, doc) in enumerate(zip(cols, documents_to_display)):
with col:
st.markdown(f"##### Document ID: {doc.get('id', '')}")
editable_id = st.text_input("ID", value=doc.get('id', ''), key=f'edit_id_{idx}')
editable_doc = doc.copy()
editable_doc.pop('id', None)
doc_str = st.text_area("Document Content (in JSON format)", value=json.dumps(editable_doc, indent=2), height=300, key=f'doc_str_{idx}')
col_save, col_ai = st.columns(2)
with col_save:
if st.button("πΎ Save Changes", key=f'save_button_{idx}'):
try:
updated_doc = json.loads(doc_str)
updated_doc['id'] = editable_id
success, message = update_record(container, updated_doc)
if success:
st.success(f"Document {updated_doc['id']} saved successfully.")
st.session_state.selected_document_id = updated_doc['id']
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
with col_ai:
if st.button("π€ Run With AI", key=f'run_with_ai_button_{idx}'):
search_glossary(json.dumps(editable_doc, indent=2))
elif selected_view == 'Clone Document':
st.markdown("#### Clone a document:")
for idx, doc in enumerate(documents_to_display):
st.markdown(f"##### Document ID: {doc.get('id', '')}")
if st.button("π Clone Document", key=f'clone_button_{idx}'):
cloned_doc = doc.copy()
cloned_doc['id'] = generate_unique_id()
st.session_state.cloned_doc = cloned_doc
st.session_state.cloned_doc_str = json.dumps(cloned_doc, indent=2)
st.session_state.clone_mode = True
st.rerun()
if st.session_state.get('clone_mode', False):
st.markdown("#### Edit Cloned Document:")
cloned_doc_str = st.text_area("Cloned Document Content (in JSON format)", value=st.session_state.cloned_doc_str, height=300)
if st.button("πΎ Save Cloned Document"):
try:
new_doc = json.loads(cloned_doc_str)
success, message = insert_record(container, new_doc)
if success:
st.success(f"Cloned document saved with id: {new_doc['id']} π")
st.session_state.selected_document_id = new_doc['id']
st.session_state.clone_mode = False
st.session_state.cloned_doc = None
st.session_state.cloned_doc_str = ''
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
elif selected_view == 'New Record':
st.markdown("#### Create a new document:")
if st.button("π€ Insert Auto-Generated Record"):
success, message = insert_auto_generated_record(container)
if success:
st.success(message)
st.rerun()
else:
st.error(message)
else:
new_id = st.text_input("ID", value=generate_unique_id(), key='new_id')
new_doc_str = st.text_area("Document Content (in JSON format)", value='{}', height=300)
if st.button("β Create New Document"):
try:
new_doc = json.loads(new_doc_str)
new_doc['id'] = new_id
success, message = insert_record(container, new_doc)
if success:
st.success(f"New document created with id: {new_doc['id']} π")
st.session_state.selected_document_id = new_doc['id']
st.rerun()
else:
st.error(message)
except json.JSONDecodeError as e:
st.error(f"Invalid JSON: {str(e)} π«")
else:
st.sidebar.info("No documents found in this container. π")
# π Main content area
st.subheader(f"π Container: {st.session_state.selected_container}")
if st.session_state.selected_container:
if documents_to_display:
df = pd.DataFrame(documents_to_display)
st.dataframe(df)
else:
st.info("No documents to display. π§")
# π GitHub section
st.subheader("π GitHub Operations")
github_token = os.environ.get("GITHUB") # Read GitHub token from environment variable
source_repo = st.text_input("Source GitHub Repository URL", value="https://github.com/AaronCWacker/AIExamples-8-24-Streamlit")
new_repo_name = st.text_input("New Repository Name (for cloning)", value=f"AIExample-Clone-{datetime.now().strftime('%Y%m%d_%H%M%S')}")
col1, col2 = st.columns(2)
with col1:
if st.button("π₯ Clone Repository"):
if github_token and source_repo:
try:
local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d%H%M%S')}"
download_github_repo(source_repo, local_path)
zip_filename = f"{new_repo_name}.zip"
create_zip_file(local_path, zip_filename[:-4])
st.markdown(get_base64_download_link(zip_filename, zip_filename), unsafe_allow_html=True)
st.success("Repository cloned successfully! π")
except Exception as e:
st.error(f"An error occurred: {str(e)} π’")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
if os.path.exists(zip_filename):
os.remove(zip_filename)
else:
st.error("Please ensure GitHub token is set in environment variables and source repository URL is provided. πβ")
with col2:
if st.button("π€ Push to New Repository"):
if github_token and source_repo:
try:
g = Github(github_token)
new_repo = create_repo(g, new_repo_name)
local_path = f"./temp_repo_{datetime.now().strftime('%Y%m%d%H%M%S')}"
download_github_repo(source_repo, local_path)
push_to_github(local_path, new_repo, github_token)
st.success(f"Repository pushed successfully to {new_repo.html_url} π")
except Exception as e:
st.error(f"An error occurred: {str(e)} π’")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
else:
st.error("Please ensure GitHub token is set in environment variables and source repository URL is provided. πβ")
except exceptions.CosmosHttpResponseError as e:
st.error(f"Failed to connect to Cosmos DB. HTTP error: {str(e)} π¨")
except Exception as e:
st.error(f"An unexpected error occurred: {str(e)} π±")
# πͺ Logout button
if st.session_state.logged_in and st.sidebar.button("πͺ Logout"):
st.session_state.logged_in = False
st.session_state.selected_records.clear()
st.session_state.client = None
st.session_state.selected_database = None
st.session_state.selected_container = None
st.session_state.selected_document_id = None
st.session_state.current_index = 0
st.rerun()
if name == "main":
main()