app.py

import streamlit as st
from dlisio import dlis
import tempfile
import base64

import info
import data
import export

st.set_page_config(layout="wide", page_title='DLIS Data Explorer')

def get_base64_image(image_path):
    with open(image_path, "rb") as img_file:
        return base64.b64encode(img_file.read()).decode('utf-8')

qr_code_base64 = get_base64_image("QR-CODE_PIX.png")

def dlis_load(uploaded_file):
    if uploaded_file is not None:
        st.session_state.uploaded_file_name = uploaded_file.name
        try:
            with tempfile.NamedTemporaryFile(delete=False) as tmp_file:
                tmp_file.write(uploaded_file.read())
                tmp_file_path = tmp_file.name
            dlis_file = dlis.load(tmp_file_path)
            
            if dlis_file:
                st.sidebar.success('File Loaded Successfully!')
                st.sidebar.write(f"Number of Logical Files: {len(dlis_file)}")
            else:
                st.sidebar.error('Failed to load DLIS file.')
            
            return dlis_file
        except Exception as e:
            st.error(f"Error loading DLIS file: {e}")
            return None
    else:
        st.warning("Please, select a DLIS file.")
        return None

def home_page():
    st.title("Welcome to DLIS Data Explorer")
    st.write("""
    **DLIS Data Explorer** is a Streamlit-based application designed to help you explore and analyze DLIS files, 
    which are commonly used in the oil and gas industry for storing well log data. 
    With this app, you can:
    - View general information about the DLIS file.
    - Explore the data contained in the file.
    - Visualize geophysical well log curves.
    - Export the data to LAS format.
    """)
    
    st.markdown("### How to use:")
    st.write("""
    1. Upload a DLIS file using the file upload option in the sidebar.
    2. Navigate to the desired page in the menu.
    3. Select the curve(s) you want to visualize and export (LAS).
    4. Have fun!
    """)
    
    st.markdown("### About the Developer")
    st.write("""
    Hi, I'm Rodrigo Brunetta, a geologist, geophysicist and data scientist with experience in petroleum research
    and exploration. My passion for these three fields has led me to discover how programming can enhance our knowledge of the geosciences.
    Feel free to contact me or check out my other projects:
    """)
    
    col_left, col_center, col_right = st.columns([1, 3, 1])
    
    with col_center:
        st.markdown("""
            <div style="display: flex; justify-content: center; align-items: center; gap: 20px; margin-top: 20px;">
                <!-- Email -->
                <a href="mailto:rbrunetta@gmail.com" target="_blank">
                    <img src="https://img.icons8.com/ios-filled/50/ffffff/email.png" alt="Email" width="40" height="40" />
                </a>
                <!-- GitHub -->
                <a href="https://github.com/rbrunetta" target="_blank">
                    <img src="https://img.icons8.com/ios-filled/50/ffffff/github.png" alt="GitHub" width="40" height="40" />
                </a>
                <!-- Medium -->
                <a href="https://medium.com/@rbrunetta" target="_blank">
                    <img src="https://img.icons8.com/ios-filled/50/ffffff/medium-monogram.png" alt="Medium" width="40" height="40" />
                </a>
                <!-- LinkedIn -->
                <a href="https://linkedin.com/in/rodrigo-brunetta" target="_blank">
                    <img src="https://img.icons8.com/ios-filled/50/ffffff/linkedin.png" alt="LinkedIn" width="40" height="40" />
                </a>
                <!-- Lattes -->
                <a href="http://lattes.cnpq.br/1976460566524791" target="_blank">
                    <img src="https://www.gov.br/observatorio/pt-br/assuntos/programas-academicos/imagens/Lattes.png/@@images/image" alt="Lattes" width="40" height="40" style="filter: invert(100%);" />
                </a>
                <!-- YouTube -->
                <a href="https://www.youtube.com/@GeoDataScience-br" target="_blank">
                    <img src="https://img.icons8.com/ios-filled/50/ffffff/youtube-play.png" alt="YouTube" width="40" height="40" />
                </a>
            </div>
        """, unsafe_allow_html=True)
    
    st.markdown("### Support the Project")
    st.markdown("""
        <div style="margin-bottom: 50px;">
            If you find this app useful, consider supporting its development through PayPal or PIX:
        </div>
    """, unsafe_allow_html=True)
    
    col_left, col_center, col_right = st.columns([1, 3, 1])
    
    with col_center:
        col_paypal, col_pix = st.columns(2)
        
        with col_paypal:
            st.markdown("""
                <div style="display: flex; flex-direction: column; justify-content: center; align-items: center; height: 250px;">
                    <h4 style="margin-bottom: 10px;">Donate via PayPal</h4>
                    <a href="https://www.paypal.com/donate?hosted_button_id=8X72NWMWHVWAN" target="_blank">
                        <img src="https://www.paypalobjects.com/en_US/i/btn/btn_donate_LG.gif" alt="Donate with PayPal button" title="PayPal - The safer, easier way to pay online!" />
                    </a>
                </div>
            """, unsafe_allow_html=True)
        
        with col_pix:
            st.markdown(f"""
                <div style="display: flex; flex-direction: column; justify-content: center; align-items: center; height: 250px;">
                    <h4 style="margin-bottom: 10px;">Donate via PIX</h4>
                    <img src="data:image/png;base64,{qr_code_base64}" width="200" alt="PIX QR Code" />
                    <p style="margin-top: 10px;">Scan the QR Code to donate.</p>
                </div>
            """, unsafe_allow_html=True)

st.sidebar.title('DLIS Data Explorer')
st.sidebar.write('Load your DLIS file using the file upload option below')

uploaded_file = st.sidebar.file_uploader('DLIS File', type=['.dlis'], help='DLIS File is a binary file format for well logs, developed by Schlumberger in the late 80s and published by the American Petroleum Institute (API) in 1991.')

if uploaded_file:
    dlis_file = dlis_load(uploaded_file)
else:
    dlis_file = None
    
st.sidebar.title('Menu')
options = st.sidebar.radio('Pages', options=['Home', 'General Information', 'Data Visualization', 'Export'])

if options == 'Home':
    home_page()
elif dlis_file:
    if options == 'General Information':
        info.info(dlis_file)
    elif options == 'Data Visualization':
        data.data(dlis_file)
    elif options == 'Export':
        export.export()
else:
    if options != 'Home':
        st.warning("Please, upload a DLIS file to access this page.")