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# app.py
# =============================================================================
# βββββββββββββ IMPORTS βββββββββββββ
# =============================================================================
import base64
import glob
import hashlib
import json
import os
import pandas as pd
import pytz
import random
import re
import shutil
import streamlit as st
import time
import traceback
import uuid
import zipfile
from PIL import Image
from azure.cosmos import CosmosClient, PartitionKey, exceptions
from datetime import datetime
from git import Repo
from github import Github
from gradio_client import Client, handle_file
import tempfile
import io
import requests
import numpy as np
from urllib.parse import quote
# =============================================================================
# βββββββββββββ EXTERNAL HELP LINKS (Always visible in sidebar) βββββββββββββ
# =============================================================================
external_links = [
{"title": "MergeKit Official GitHub", "url": "https://github.com/arcee-ai/MergeKit", "emoji": "π»"},
{"title": "MergeKit arXiv Paper", "url": "https://arxiv.org/abs/xxxx.xxxxx", "emoji": "π"},
{"title": "MergeKit Tutorial", "url": "https://huggingface.co/blog/mergekit-tutorial", "emoji": "βοΈ"},
{"title": "MergeKit Sample Usage", "url": "https://github.com/arcee-ai/MergeKit#examples", "emoji": "π"},
{"title": "DistillKit Official GitHub", "url": "https://github.com/arcee-ai/DistillKit", "emoji": "π»"},
{"title": "DistillKit Announcing Blog Post", "url": "https://arcee.ai/blog/distillkit-announcement", "emoji": "βοΈ"},
{"title": "DistillKit Sample Usage", "url": "https://github.com/arcee-ai/DistillKit#usage", "emoji": "π"},
{"title": "Spectrum Hugging Face Blog Post", "url": "https://huggingface.co/blog/spectrum", "emoji": "βοΈ"},
{"title": "Hugging Face Model Merging Docs", "url": "https://huggingface.co/docs/peft/model_merging", "emoji": "π"},
{"title": "arcee.ai Official Website", "url": "https://arcee.ai", "emoji": "π"},
]
# =============================================================================
# βββββββββββββ APP CONFIGURATION βββββββββββββ
# =============================================================================
Site_Name = 'π GitCosmos'
title = "π GitCosmos"
helpURL = 'https://huggingface.co/awacke1'
bugURL = 'https://huggingface.co/spaces/awacke1/AzureCosmosDBUI/'
icons = 'πππ«'
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
}
)
# Cosmos DB & App URLs
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")
LOCAL_APP_URL = "https://huggingface.co/spaces/awacke1/AzureCosmosDBUI"
CosmosDBUrl = 'https://portal.azure.com/#@AaronCWackergmail.onmicrosoft.com/resource/subscriptions/003fba60-5b3f-48f4-ab36-3ed11bc40816/resourceGroups/datasets/providers/Microsoft.DocumentDB/databaseAccounts/acae-afd/dataExplorer'
# =============================================================================
# βββββββββββββ HELPER FUNCTIONS βββββββββββββ
# =============================================================================
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'<a href="data:file/txt;base64,{b64}" download="{file_name}">Download {file_name} π</a>'
def generate_unique_id():
timestamp = datetime.utcnow().strftime('%Y%m%d%H%M%S%f')
unique_uuid = str(uuid.uuid4())
return_value = f"{timestamp}-{unique_uuid}"
st.write('New ID: ' + return_value)
return return_value
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
def display_glossary_entity(k):
search_urls = {
"π": lambda k: f"/?q={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"<a href='{url(k)}' target='_blank'>{emoji}</a>" for emoji, url in search_urls.items()])
st.markdown(f"{k} {links_md}", unsafe_allow_html=True)
def create_zip_of_files(files):
zip_name = "all_files.zip"
with zipfile.ZipFile(zip_name, 'w') as zipf:
for file in files:
zipf.write(file)
return zip_name
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'''
<video width="{width}" controls autoplay loop>
<source src="{video_url}" type="video/mp4">
Your browser does not support video.
</video>
'''
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'''
<audio controls style="width:{width}">
<source src="{audio_url}" type="audio/mpeg">
Your browser does not support audio.
</audio>
'''
def preprocess_text(text):
text = text.replace('\r\n', '\\n').replace('\r', '\\n').replace('\n', '\\n')
text = text.replace('"', '\\"')
text = re.sub(r'[\t]', ' ', text)
text = re.sub(r'[^\x00-\x7F]+', '', text)
return text.strip()
# =============================================================================
# βββββββββββββ COSMOS DB FUNCTIONS βββββββββββββ
# =============================================================================
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 insert_record(container, record):
try:
container.create_item(body=record)
return True, "Inserted! π"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error: {str(e)} π¨"
except Exception as e:
return False, f"Error: {str(e)} π±"
def update_record(container, updated_record):
try:
container.upsert_item(body=updated_record)
return True, f"Updated {updated_record['id']} π οΈ"
except exceptions.CosmosHttpResponseError as e:
return False, f"HTTP error: {str(e)} π¨"
except Exception as e:
return False, f"Error: {traceback.format_exc()} π±"
def delete_record(container, record):
try:
if "id" not in record:
return False, "Record must contain an 'id' field. π"
doc_id = record["id"]
if "delete_log" not in st.session_state:
st.session_state.delete_log = []
st.session_state.delete_log.append(f"Attempting to delete document: {json.dumps(record, indent=2)}")
partition_key_value = record.get("pk", doc_id)
st.session_state.delete_log.append(f"Using ID and Partition Key: {partition_key_value}")
container.delete_item(item=doc_id, partition_key=partition_key_value)
success_msg = f"Record {doc_id} successfully deleted from Cosmos DB. ποΈ"
st.session_state.delete_log.append(success_msg)
return True, success_msg
except exceptions.CosmosResourceNotFoundError:
success_msg = f"Record {doc_id} not found in Cosmos DB (already deleted or never existed). ποΈ"
st.session_state.delete_log.append(success_msg)
return True, success_msg
except exceptions.CosmosHttpResponseError as e:
error_msg = f"HTTP error deleting {doc_id}: {str(e)}. π¨"
st.session_state.delete_log.append(error_msg)
return False, error_msg
except Exception as e:
error_msg = f"Unexpected error deleting {doc_id}: {str(traceback.format_exc())}. π±"
st.session_state.delete_log.append(error_msg)
return False, error_msg
def save_to_cosmos_db(container, query, response1, response2):
try:
if container:
timestamp = datetime.utcnow().strftime('%Y%m%d%H%M%S%f')
unique_uuid = str(uuid.uuid4())
new_id = f"{timestamp}-{unique_uuid}"
record = {
"id": new_id,
"pk": new_id,
"name": new_id,
"query": query,
"response1": response1,
"response2": response2,
"timestamp": datetime.utcnow().isoformat(),
"type": "ai_response",
"version": "1.0"
}
container.create_item(body=record)
st.success(f"Saved: {record['id']}")
st.session_state.documents = get_documents(container)
else:
st.error("Cosmos container not initialized.")
except Exception as e:
st.error(f"Save error: {str(e)}")
def archive_current_container(database_name, container_name, client):
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_download_link(f"{archive_name}.zip")
except Exception as e:
return f"Archive error: {str(e)} π’"
# =============================================================================
# βββββββββββββ ADVANCED COSMOS FUNCTIONS βββββββββββββ
# =============================================================================
def create_new_container(database, container_id, partition_key_path,
analytical_storage_ttl=None, indexing_policy=None, vector_embedding_policy=None):
try:
if analytical_storage_ttl is not None:
container = database.create_container(
id=container_id,
partition_key=PartitionKey(path=partition_key_path),
analytical_storage_ttl=analytical_storage_ttl,
indexing_policy=indexing_policy,
vector_embedding_policy=vector_embedding_policy
)
else:
container = database.create_container(
id=container_id,
partition_key=PartitionKey(path=partition_key_path),
indexing_policy=indexing_policy,
vector_embedding_policy=vector_embedding_policy
)
except exceptions.CosmosHttpResponseError as e:
if analytical_storage_ttl is not None and "analyticalStorageTtl" in str(e):
try:
container = database.create_container(
id=container_id,
partition_key=PartitionKey(path=partition_key_path),
indexing_policy=indexing_policy,
vector_embedding_policy=vector_embedding_policy
)
except Exception as e2:
st.error(f"Error creating container without analytical_storage_ttl: {str(e2)}")
return None
elif isinstance(e, exceptions.CosmosResourceExistsError):
container = database.get_container_client(container_id)
else:
st.error(f"Error creating container: {str(e)}")
return None
return container
def advanced_insert_item(container, item):
try:
container.upsert_item(item)
return True, f"Item {item.get('id', '')} inserted. β"
except Exception as e:
return False, str(e)
def advanced_update_item(container, item):
try:
container.upsert_item(item)
return True, f"Item {item.get('id', '')} updated. βοΈ"
except Exception as e:
return False, str(e)
def advanced_delete_item(container, item_id, partition_key_value):
try:
container.delete_item(item=item_id, partition_key=partition_key_value)
return True, f"Item {item_id} deleted. ποΈ"
except Exception as e:
return False, str(e)
def vector_search(container, query_vector, vector_field, top=10, exact_search=False):
query_vector_str = json.dumps(query_vector)
query = f"""SELECT TOP {top} c.id, VectorDistance(c.{vector_field}, {query_vector_str}, {str(exact_search).lower()},
{{'dataType':'float32','distanceFunction':'cosine'}}) AS SimilarityScore
FROM c ORDER BY SimilarityScore"""
results = list(container.query_items(query=query, enable_cross_partition_query=True))
return results
# =============================================================================
# βββββββββββββ GITHUB FUNCTIONS βββββββββββββ
# =============================================================================
def download_github_repo(url, local_path):
if os.path.exists(local_path):
shutil.rmtree(local_path)
Repo.clone_from(url, local_path)
def create_zip_file(source_dir, output_filename):
shutil.make_archive(output_filename, 'zip', source_dir)
def create_repo(g, repo_name):
user = g.get_user()
return user.create_repo(repo_name)
def push_to_github(local_path, repo, github_token):
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}')
# =============================================================================
# βββββββββββββ FILE & MEDIA MANAGEMENT FUNCTIONS βββββββββββββ
# =============================================================================
def display_saved_files_in_sidebar():
all_files = sorted([f for f in glob.glob("*.md") if not f.lower().startswith('readme')], reverse=True)
st.sidebar.markdown("## π Files")
for file in all_files:
col1, col2, col3 = st.sidebar.columns([6, 2, 1])
with col1:
st.markdown(f"π {file}")
with col2:
st.sidebar.download_button(
label="β¬οΈ",
data=open(file, 'rb').read(),
file_name=file
)
with col3:
if st.sidebar.button("π", key=f"delete_{file}"):
os.remove(file)
st.rerun()
def display_file_viewer(file_path):
content = load_file(file_path)
if content:
st.markdown("### π File Viewer")
st.markdown(f"**{file_path}**")
file_stats = os.stat(file_path)
st.markdown(f"**Mod:** {datetime.fromtimestamp(file_stats.st_mtime).strftime('%Y-%m-%d %H:%M:%S')} | **Size:** {file_stats.st_size} bytes")
st.markdown("---")
st.markdown(content)
st.download_button("β¬οΈ", data=content, file_name=os.path.basename(file_path), mime="text/markdown")
def display_file_editor(file_path):
if 'file_content' not in st.session_state:
st.session_state.file_content = {}
if file_path not in st.session_state.file_content:
content = load_file(file_path)
if content is not None:
st.session_state.file_content[file_path] = content
else:
return
st.markdown("### βοΈ Edit File")
st.markdown(f"**Editing:** {file_path}")
md_tab, code_tab = st.tabs(["Markdown", "Code"])
with md_tab:
st.markdown(st.session_state.file_content[file_path])
with code_tab:
new_content = st.text_area("Edit:", value=st.session_state.file_content[file_path], height=400, key=f"editor_{hash(file_path)}")
col1, col2 = st.columns([1, 5])
with col1:
if st.button("πΎ Save"):
if save_file_content(file_path, new_content):
st.session_state.file_content[file_path] = new_content
st.success("Saved! π")
time.sleep(1)
st.rerun()
with col2:
st.download_button("β¬οΈ", data=new_content, file_name=os.path.basename(file_path), mime="text/markdown")
def save_file_content(file_path, content):
try:
with open(file_path, 'w', encoding='utf-8') as file:
file.write(content)
return True
except Exception as e:
st.error(f"Save error: {str(e)}")
return False
def update_file_management_section():
if 'file_view_mode' not in st.session_state:
st.session_state.file_view_mode = None
if 'current_file' not in st.session_state:
st.session_state.current_file = None
if 'file_content' not in st.session_state:
st.session_state.file_content = {}
all_files = sorted(glob.glob("*.md"), reverse=True)
st.sidebar.title("π Files")
if st.sidebar.button("π Delete All"):
for file in all_files:
os.remove(file)
st.session_state.file_content = {}
st.session_state.current_file = None
st.session_state.file_view_mode = None
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=f"view_{file}"):
st.session_state.current_file = file
st.session_state.file_view_mode = 'view'
if file not in st.session_state.file_content:
content = load_file(file)
if content is not None:
st.session_state.file_content[file] = content
st.rerun()
with col2:
st.markdown(get_download_link(file), unsafe_allow_html=True)
with col3:
if st.button("π", key=f"edit_{file}"):
st.session_state.current_file = file
st.session_state.file_view_mode = 'edit'
if file not in st.session_state.file_content:
content = load_file(file)
if content is not None:
st.session_state.file_content[file] = content
st.rerun()
with col4:
if st.button("π", key=f"delete_{file}"):
os.remove(file)
if file in st.session_state.file_content:
del st.session_state.file_content[file]
if st.session_state.current_file == file:
st.session_state.current_file = None
st.session_state.file_view_mode = None
st.rerun()
st.sidebar.markdown("---")
st.sidebar.title("External Help Links")
for link in external_links:
st.sidebar.markdown(f"{link['emoji']} [{link['title']}]({link['url']})", unsafe_allow_html=True)
if st.session_state.current_file:
if st.session_state.file_view_mode == 'view':
display_file_viewer(st.session_state.current_file)
elif st.session_state.file_view_mode == 'edit':
display_file_editor(st.session_state.current_file)
# =============================================================================
# βββββββββββββ VIDEO & AUDIO UI FUNCTIONS βββββββββββββ
# =============================================================================
def validate_and_preprocess_image(file_data, target_size=(576, 1024)):
try:
st.write("Preprocessing image...")
if isinstance(file_data, bytes):
img = Image.open(io.BytesIO(file_data))
elif hasattr(file_data, 'read'):
if hasattr(file_data, 'seek'):
file_data.seek(0)
img = Image.open(file_data)
elif isinstance(file_data, Image.Image):
img = file_data
else:
raise ValueError(f"Unsupported input: {type(file_data)}")
if img.mode != 'RGB':
img = img.convert('RGB')
aspect_ratio = img.size[0] / img.size[1]
if aspect_ratio > target_size[0] / target_size[1]:
new_width = target_size[0]
new_height = int(new_width / aspect_ratio)
else:
new_height = target_size[1]
new_width = int(new_height * aspect_ratio)
new_width = (new_width // 2) * 2
new_height = (new_height // 2) * 2
resized_img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)
final_img = Image.new('RGB', target_size, (255, 255, 255))
paste_x = (target_size[0] - new_width) // 2
paste_y = (target_size[1] - new_height) // 2
final_img.paste(resized_img, (paste_x, paste_y))
return final_img
except Exception as e:
st.error(f"Image error: {str(e)}")
return None
def add_video_generation_ui(container):
st.markdown("### π₯ Video Gen")
col1, col2 = st.columns([2, 1])
with col1:
uploaded_file = st.file_uploader("Upload Image πΌοΈ", type=['png', 'jpg', 'jpeg'])
with col2:
st.markdown("#### Params")
motion = st.slider("π Motion", 1, 255, 127)
fps = st.slider("π¬ FPS", 1, 30, 6)
with st.expander("Advanced"):
use_custom = st.checkbox("Custom Seed")
seed = st.number_input("Seed", value=int(time.time() * 1000)) if use_custom else None
if uploaded_file is not None:
try:
file_data = uploaded_file.read()
preview1, preview2 = st.columns(2)
with preview1:
st.write("Original")
st.image(Image.open(io.BytesIO(file_data)), use_column_width=True)
with preview2:
proc_img = validate_and_preprocess_image(io.BytesIO(file_data))
if proc_img:
st.write("Processed")
st.image(proc_img, use_column_width=True)
else:
st.error("Preprocess failed")
return
if st.button("π₯ Generate"):
with st.spinner("Generating video..."):
with tempfile.NamedTemporaryFile(suffix='.png', delete=False) as temp_file:
proc_img.save(temp_file.name, format='PNG')
try:
client = Client("awacke1/stable-video-diffusion", hf_token=os.environ.get("HUGGINGFACE_TOKEN"))
result = client.predict(
image=temp_file.name,
seed=seed if seed is not None else int(time.time() * 1000),
randomize_seed=seed is None,
motion_bucket_id=motion,
fps_id=fps,
api_name="/video"
)
if result and isinstance(result, tuple) and len(result) >= 1:
video_path = result[0].get('video') if isinstance(result[0], dict) else None
if video_path and os.path.exists(video_path):
video_filename = f"generated_video_{datetime.now().strftime('%Y%m%d_%H%M%S')}.mp4"
shutil.copy(video_path, video_filename)
st.success(f"Video generated! π")
st.video(video_filename)
if container:
video_record = {
"id": generate_unique_id(),
"pk": generate_unique_id(),
"type": "generated_video",
"filename": video_filename,
"seed": seed if seed is not None else "random",
"motion": motion,
"fps": fps,
"timestamp": datetime.now().isoformat()
}
success, message = insert_record(container, video_record)
if success:
st.success("DB record saved!")
else:
st.error(f"DB error: {message}")
else:
st.error("Invalid result format")
else:
st.error("No result returned")
except Exception as e:
st.error(f"Video gen error: {str(e)}")
finally:
try:
os.unlink(temp_file.name)
st.write("Temp file removed")
except Exception as e:
st.warning(f"Cleanup error: {str(e)}")
except Exception as e:
st.error(f"Upload error: {str(e)}")
# =============================================================================
# βββββββββββββ AI SAMPLES SIDEBAR (Processed as a Python List) βββββββββββββ
# =============================================================================
def display_ai_samples():
# Define a list of sample queries
ai_samples = [
{
"name": "FullTextContains",
"description": "Query using FullTextContains",
"query": 'SELECT TOP 10 * FROM c WHERE FullTextContains(c.text, "bicycle")'
},
{
"name": "FullTextContainsAll",
"description": "Query using FullTextContainsAll",
"query": 'SELECT TOP 10 * FROM c WHERE FullTextContainsAll(c.text, "red", "bicycle")'
},
{
"name": "FullTextContainsAny",
"description": "Query using FullTextContainsAny",
"query": 'SELECT TOP 10 * FROM c WHERE FullTextContains(c.text, "red") AND FullTextContainsAny(c.text, "bicycle", "skateboard")'
},
{
"name": "FullTextScore",
"description": "Query using FullTextScore (order by relevance)",
"query": 'SELECT TOP 10 * FROM c ORDER BY RANK FullTextScore(c.text, ["bicycle", "mountain"])'
},
{
"name": "Vector Search with Score",
"description": "Example vector search snippet",
"query": 'results = vector_search.similarity_search_with_score(query="Your query", k=5)\nfor result, score in results:\n print(result.json(), score)'
},
{
"name": "Vector Search with Filtering",
"description": "Example vector search with a filter",
"query": 'pre_filter = {"conditions": [{"property": "metadata.page", "operator": "$eq", "value": 0}]}\nresults = vector_search.similarity_search_with_score(query="Your query", k=5, pre_filter=pre_filter)'
},
{
"name": "Hybrid Search",
"description": "Example hybrid search snippet",
"query": 'results = vector_search.similarity_search_with_score(query="Your query", k=5, query_type=CosmosDBQueryType.HYBRID)'
}
]
st.sidebar.markdown("### π€ AI Samples")
st.sidebar.info("π Get started with our AI samples! Time free access to get started today.")
# Provide a dropdown to select one sample
sample_names = [sample["name"] for sample in ai_samples]
selected_sample_name = st.sidebar.selectbox("Select an AI Sample", sample_names)
selected_sample = next((s for s in ai_samples if s["name"] == selected_sample_name), None)
if selected_sample:
st.sidebar.markdown(f"**{selected_sample['name']}**: {selected_sample['description']}")
# Use language 'sql' for queries containing FullText, else python
lang = "sql" if "FullText" in selected_sample["name"] else "python"
st.sidebar.code(selected_sample["query"], language=lang)
# =============================================================================
# βββββββββββββ MAIN FUNCTION βββββββββββββ
# =============================================================================
def main():
st.markdown("### π GitCosmos - Cosmos & Git Hub")
if "chat_history" not in st.session_state:
st.session_state.chat_history = []
# Auth & Cosmos client initialization
if Key:
st.session_state.primary_key = Key
st.session_state.logged_in = True
else:
st.error("Missing Cosmos Key πβ")
return
if st.session_state.logged_in:
try:
if st.session_state.get("client") is None:
st.session_state.client = CosmosClient(ENDPOINT, credential=st.session_state.primary_key)
st.sidebar.title("π Navigator")
databases = get_databases(st.session_state.client)
selected_db = st.sidebar.selectbox("ποΈ DB", databases)
st.markdown(CosmosDBUrl)
if selected_db != st.session_state.get("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)
# New Container button under DB menu
if "show_new_container_form" not in st.session_state:
st.session_state.show_new_container_form = False
if st.sidebar.button("π New Container"):
st.session_state.show_new_container_form = True
if st.session_state.show_new_container_form:
with st.sidebar.form("new_container_form"):
new_container_id = st.text_input("Container ID", value="aiml-container")
new_partition_key = st.text_input("Partition Key", value="/pk")
new_analytical = st.checkbox("Enable Analytical Store", value=True)
submitted = st.form_submit_button("Create Container")
if submitted:
analytical_ttl = -1 if new_analytical else None
new_container = create_new_container(
database,
new_container_id,
new_partition_key,
analytical_storage_ttl=analytical_ttl
)
if new_container:
st.success(f"Container '{new_container_id}' created.")
# Insert a default templated item into the new container
default_id = generate_unique_id()
default_item = {
"id": default_id,
"pk": default_id,
"name": "Default Image Prompt",
"prompt": "Enter your image prompt here",
"timestamp": datetime.now().isoformat(),
"type": "image_prompt"
}
insert_success, insert_message = insert_record(new_container, default_item)
if insert_success:
st.info("Default templated item created in new container.")
else:
st.error(f"Default item insertion error: {insert_message}")
st.session_state.show_new_container_form = False
st.session_state.new_container_created = new_container_id
st.rerun()
# Update container list
containers = get_containers(database)
if "new_container_created" in st.session_state and st.session_state.new_container_created not in containers:
containers.append(st.session_state.new_container_created)
selected_container = st.sidebar.selectbox("π Container", containers)
if selected_container != st.session_state.get("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)
if st.sidebar.button("π¦ Export"):
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)
documents = get_documents(container)
total_docs = len(documents)
num_docs = st.slider("Docs", 1, 20, 1)
documents_to_display = documents[:num_docs] if total_docs > num_docs else documents
st.sidebar.info(f"Showing {len(documents_to_display)} docs")
# Document Viewer / Editor
view_options = ['Markdown', 'Code', 'Run AI', 'Clone', 'New']
selected_view = st.sidebar.selectbox("View", view_options, index=1)
if selected_view == 'Markdown':
st.markdown("#### π Markdown")
if documents:
doc = documents[st.session_state.current_index]
content = json.dumps(doc, indent=2)
st.markdown(f"```json\n{content}\n```")
col_prev, col_next = st.columns(2)
with col_prev:
if st.button("β¬
οΈ") and st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ") and st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
elif selected_view == 'Code':
st.markdown("#### π» Code Editor")
if documents:
doc = documents[st.session_state.current_index]
doc_str = st.text_area("Edit JSON", value=json.dumps(doc, indent=2), height=300, key=f'code_{st.session_state.current_index}')
col_prev, col_next = st.columns(2)
with col_prev:
if st.button("β¬
οΈ") and st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ") and st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
col_save, col_delete = st.columns(2)
with col_save:
if st.button("πΎ Save", key=f'save_{st.session_state.current_index}'):
try:
updated_doc = json.loads(doc_str)
container.upsert_item(body=updated_doc)
st.success(f"Saved {updated_doc['id']}")
st.rerun()
except Exception as e:
st.error(f"Save err: {str(e)}")
with col_delete:
if st.button("ποΈ Delete", key=f'delete_{st.session_state.current_index}'):
try:
current_doc = json.loads(doc_str)
success, message = delete_record(container, current_doc)
if success:
st.success(message)
st.rerun()
else:
st.error(message)
except Exception as e:
st.error(f"Delete err: {str(e)}")
if "delete_log" in st.session_state and st.session_state.delete_log:
st.subheader("Delete Log")
for log_entry in st.session_state.delete_log[-5:]:
st.write(log_entry)
elif selected_view == 'Run AI':
st.markdown("#### π€ Run AI (stub)")
st.info("AI functionality not implemented.")
elif selected_view == 'Clone':
st.markdown("#### π Clone")
if documents:
doc = documents[st.session_state.current_index]
st.markdown(f"Original ID: {doc.get('id', '')}")
new_id = st.text_input("New ID", value=generate_unique_id(), key='new_clone_id')
new_name = st.text_input("New Name", value=f"Clone_{new_id[:8]}", key='new_clone_name')
new_doc = {'id': new_id, 'pk': new_id, 'name': new_name, **{k: v for k, v in doc.items() if k not in ['id', 'name', 'pk', '_rid', '_self', '_etag', '_attachments', '_ts']}}
doc_str = st.text_area("Edit JSON", value=json.dumps(new_doc, indent=2), height=300, key='clone_preview')
col1, col2 = st.columns(2)
with col1:
if st.button("π Regenerate"):
new_id = generate_unique_id()
st.session_state.new_clone_id = new_id
st.rerun()
with col2:
if st.button("πΎ Save Clone"):
try:
final_doc = json.loads(doc_str)
for field in ['_rid', '_self', '_etag', '_attachments', '_ts']:
final_doc.pop(field, None)
container.create_item(body=final_doc)
st.success(f"Cloned {final_doc['id']}")
st.rerun()
except Exception as e:
st.error(f"Clone err: {str(e)}")
col_prev, col_next = st.columns(2)
with col_prev:
if st.button("β¬
οΈ") and st.session_state.current_index > 0:
st.session_state.current_index -= 1
st.rerun()
with col_next:
if st.button("β‘οΈ") and st.session_state.current_index < total_docs - 1:
st.session_state.current_index += 1
st.rerun()
elif selected_view == 'New':
st.markdown("#### β New Doc")
if st.button("π€ Auto-Gen"):
auto_doc = {
"id": generate_unique_id(),
"pk": generate_unique_id(),
"name": f"Auto {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}",
"content": "Auto-generated record.",
"timestamp": datetime.now().isoformat()
}
success, message = insert_record(container, auto_doc)
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')
default_doc = {
"id": new_id,
"pk": new_id,
"name": "New Doc",
"content": "",
"timestamp": datetime.now().isoformat()
}
new_doc_str = st.text_area("JSON", value=json.dumps(default_doc, indent=2), height=300)
if st.button("β Create"):
try:
cleaned = preprocess_text(new_doc_str)
new_doc = json.loads(cleaned)
new_doc['id'] = new_id
new_doc['pk'] = new_id
success, message = insert_record(container, new_doc)
if success:
st.success(f"Created {new_doc['id']}")
st.rerun()
else:
st.error(message)
except Exception as e:
st.error(f"Create err: {str(e)}")
st.subheader(f"π {st.session_state.selected_container}")
if documents_to_display:
df = pd.DataFrame(documents_to_display)
st.dataframe(df)
else:
st.info("No docs.")
# GitHub Ops section
st.subheader("π GitHub Ops")
github_token = os.environ.get("GITHUB")
source_repo = st.text_input("Source Repo URL", value="https://github.com/AaronCWacker/AIExamples-8-24-Streamlit")
new_repo_name = st.text_input("New Repo Name", value=f"Clone-{datetime.now().strftime('%Y%m%d_%H%M%S')}")
col_g1, col_g2 = st.columns(2)
with col_g1:
if st.button("π₯ Clone Repo"):
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_download_link(zip_filename), unsafe_allow_html=True)
st.success("Cloned! π")
except Exception as e:
st.error(f"Clone err: {str(e)}")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
if os.path.exists(zip_filename):
os.remove(zip_filename)
else:
st.error("Missing token or URL πβ")
with col_g2:
if st.button("π€ Push Repo"):
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"Pushed to {new_repo.html_url} π")
except Exception as e:
st.error(f"Push err: {str(e)}")
finally:
if os.path.exists(local_path):
shutil.rmtree(local_path)
else:
st.error("Missing token or URL πβ")
# Display AI Samples sidebar UI (processed from Python list)
display_ai_samples()
update_file_management_section()
except exceptions.CosmosHttpResponseError as e:
st.error(f"Cosmos error: {str(e)} π¨")
except Exception as e:
st.error(f"Error: {str(e)} π±")
if st.session_state.logged_in and st.sidebar.button("πͺ Logout"):
st.markdown("#### πͺ Logout")
st.session_state.logged_in = False
st.session_state.selected_records = []
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()
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