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| import streamlit as st | |
| import pandas as pd | |
| from datetime import datetime | |
| import glob | |
| import os | |
| # Function to check user credentials | |
| def check_credentials(username, password): | |
| return username == "Josia" and password == "admin" | |
| # Function to save data to CSV | |
| def save_data(form_data, username): | |
| # Convert to DataFrame and append to CSV. Here we assume that all CSV files are stored in the current directory. | |
| df = pd.DataFrame([form_data]) | |
| csv_path = f'collected_data_{username}.csv' | |
| df.to_csv(csv_path, mode='a', header=not os.path.exists(csv_path), index=False) | |
| # Function to list all CSV files created by the users | |
| def list_csv_files(): | |
| # List all CSV files in the current directory | |
| return glob.glob('collected_data_*.csv') | |
| # Main App | |
| def main(): | |
| st.set_page_config(page_title="Frijoles", layout="wide") | |
| st.sidebar.title("Common Bean Data Collection App") | |
| st.sidebar.header("Please Log In") | |
| username = st.sidebar.text_input("Username") | |
| password = st.sidebar.text_input("Password", type="password") | |
| if st.sidebar.button("Login"): | |
| if check_credentials(username, password): | |
| st.session_state['authenticated'] = True | |
| else: | |
| st.session_state['authenticated'] = False | |
| st.sidebar.error("The username or password you entered is incorrect.") | |
| if 'authenticated' not in st.session_state: | |
| st.session_state['authenticated'] = False | |
| if st.session_state['authenticated']: | |
| st.title('Welcome to Common Bean Data Collection App') | |
| # Form for new data collection | |
| st.header("Collect new data") | |
| with st.form("new_data_form"): | |
| # Collect necessary information from user | |
| disease_type = st.selectbox("Select disease type", ['ALS', 'CBB']) | |
| region = st.selectbox("Select region", ['Selian', 'Uyole', 'Maluku']) | |
| genotype = st.selectbox("Select genotype", ['Genotype A', 'Genotype B']) | |
| growth_level = st.selectbox("Select plant growth level", ['First Trifoliate', 'Second Trifoliate']) | |
| plant_number = st.selectbox("Select plant number", list(range(1, 11))) | |
| leaf_number = st.selectbox("Select leaf number", list(range(1, 11))) | |
| scan_number = st.selectbox("Select scan number", list(range(1, 11))) | |
| visual_score = st.slider("Visual Score", 1, 9, 1) | |
| submitted = st.form_submit_button("Save") | |
| if submitted: | |
| # Construct the form data to save | |
| form_data = { | |
| "Date": datetime.now().strftime("%Y-%m-%d"), | |
| "Time": datetime.now().strftime("%H:%M:%S"), | |
| "Disease Type": disease_type, | |
| "Region": region, | |
| "Genotype": genotype, | |
| "Growth Level": growth_level, | |
| "Plant Number": plant_number, | |
| "Leaf Number": leaf_number, | |
| "Scan Number": scan_number, | |
| "Visual Score": visual_score | |
| } | |
| save_data(form_data, username) | |
| st.success("Data saved successfully!") | |
| # Button to open ScanSpectrum app (Placeholder for actual URL scheme) | |
| st.markdown("Please use your mobile device to open the ScanSpectrum app and perform the scan.") | |
| st.markdown("<a href='ScanSpectrum://'><button style='height: 50px; width: 300px; font-size: 20px;'>Open ScanSpectrum App</button></a>", unsafe_allow_html=True) | |
| # Functionality to preview CSV files | |
| st.header("Preview Saved Data") | |
| all_csv_files = list_csv_files() | |
| selected_csv = st.selectbox("Select a CSV file to preview", all_csv_files) | |
| if st.button('Show Selected CSV'): | |
| if selected_csv: | |
| data_to_show = pd.read_csv(selected_csv) | |
| st.write(f"Preview of {selected_csv}:") | |
| st.dataframe(data_to_show) | |
| else: | |
| st.error("No CSV file selected.") | |
| else: | |
| st.warning("You need to login to access the data collection form.") | |
| # Run the main app | |
| if __name__ == "__main__": | |
| main() |