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import streamlit as st
from pymongo import MongoClient
import os
from dotenv import load_dotenv
from datetime import datetime
# Load environment variables
load_dotenv()
MONGO_URI = os.getenv("MONGO_URI")
DB_NAME = os.getenv("DB_NAME")
COLLECTION_NAME = os.getenv("COLLECTION_NAME")
mongo_client = MongoClient(MONGO_URI)
db = mongo_client[DB_NAME]
collection = db[COLLECTION_NAME]
def format_date(timestamp):
"""Convert timestamp to a readable date format."""
return datetime.fromtimestamp(timestamp).strftime("%B %d, %Y")
# Custom CSS to control image and expander container width and styling
def view_excel():
if st.button("Back"):
st.session_state.page = "home"
st.rerun()
st.title("Your Uploaded Images")
# Fetch all uploaded images from MongoDB
images = list(collection.find({"filetype": {"$in": ["excel", "csv"]},"status":"processed"}))
if not images:
st.write("You have not uploaded any Excel yet.")
return
# Display images in a grid (4 images per row)
cols = st.columns(4)
for idx, image in enumerate(images):
col = cols[idx % 4]
with col:
# Container for each image and its expander
# Expander for image details
with st.expander("View Excel Details"):
st.write(f"**File Name:** {image.get('name', 'N/A')}")
st.write(f"**Date Uploaded:** {format_date(image.get('upload_date', datetime.now().timestamp()))}")
st.markdown(
f"<a href='{image['object_url']}' class='download-link' download>Download File</a>",
unsafe_allow_html=True
)
if st.button("View Table Analysis",key=f"image_analysis_{idx}"):
st.session_state.page="view_excel_analysis"
st.session_state.excel_url=image['object_url']
st.rerun()
# Move to a new row after every 4 images
if (idx + 1) % 4 == 0:
st.write("") # Line break to move to the next row
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