Spaces:
Sleeping
Sleeping
Jacksonnavigator7
commited on
Upload 2 files
Browse files- app.py +155 -0
- requirements.txt +2 -0
app.py
ADDED
@@ -0,0 +1,155 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import streamlit as st
|
2 |
+
import pandas as pd
|
3 |
+
import os
|
4 |
+
import hashlib
|
5 |
+
|
6 |
+
# File to store user account data
|
7 |
+
user_file = 'users.csv'
|
8 |
+
# File to store truck registration data
|
9 |
+
data_file = 'truck_data.csv'
|
10 |
+
|
11 |
+
# Initialize user_data and truck_data as empty dictionaries
|
12 |
+
user_data = {}
|
13 |
+
truck_data = {}
|
14 |
+
|
15 |
+
# Function to hash passwords
|
16 |
+
def hash_password(password):
|
17 |
+
return hashlib.sha256(password.encode()).hexdigest()
|
18 |
+
|
19 |
+
# Function to create an empty users.csv file with the correct headers
|
20 |
+
def create_user_file():
|
21 |
+
pd.DataFrame(columns=["Username", "Password"]).to_csv(user_file, index=False)
|
22 |
+
|
23 |
+
# Function to create an empty truck_data.csv file with the correct headers
|
24 |
+
def create_data_file():
|
25 |
+
pd.DataFrame(columns=["Truck Number", "Driver's Name", "Contact Number", "Registration Date", "Username"]).to_csv(data_file, index=False)
|
26 |
+
|
27 |
+
# Check if the user file exists
|
28 |
+
if not os.path.exists(user_file):
|
29 |
+
create_user_file()
|
30 |
+
st.warning(f"{user_file} created successfully.")
|
31 |
+
|
32 |
+
# Load existing user data if available
|
33 |
+
if os.path.exists(user_file):
|
34 |
+
try:
|
35 |
+
user_data = pd.read_csv(user_file).set_index('Username').to_dict(orient='index')
|
36 |
+
except pd.errors.EmptyDataError:
|
37 |
+
st.warning("The user file is empty. Please register an account.")
|
38 |
+
create_user_file()
|
39 |
+
|
40 |
+
# Check if the data file exists
|
41 |
+
if not os.path.exists(data_file):
|
42 |
+
create_data_file()
|
43 |
+
st.warning(f"{data_file} created successfully.")
|
44 |
+
|
45 |
+
# Load existing truck data if available
|
46 |
+
if os.path.exists(data_file):
|
47 |
+
try:
|
48 |
+
truck_data_df = pd.read_csv(data_file)
|
49 |
+
# Ensure the file is not empty and contains the correct columns
|
50 |
+
if not truck_data_df.empty and "Truck Number" in truck_data_df.columns:
|
51 |
+
truck_data = truck_data_df.set_index('Truck Number').to_dict(orient='index')
|
52 |
+
else:
|
53 |
+
st.warning("The truck data file is empty or missing the required columns.")
|
54 |
+
create_data_file()
|
55 |
+
except pd.errors.EmptyDataError:
|
56 |
+
st.warning("The truck data file is empty. Please register some trucks.")
|
57 |
+
create_data_file()
|
58 |
+
|
59 |
+
# Streamlit form for login or registration
|
60 |
+
st.title("Truck Registration and Login System")
|
61 |
+
|
62 |
+
if "logged_in" not in st.session_state:
|
63 |
+
st.session_state.logged_in = False
|
64 |
+
st.session_state.current_user = None
|
65 |
+
|
66 |
+
# Sign Up and Login tabs
|
67 |
+
tab1, tab2 = st.tabs(["Sign Up", "Login"])
|
68 |
+
|
69 |
+
# Sign Up tab
|
70 |
+
with tab1:
|
71 |
+
st.subheader("Register a New Account")
|
72 |
+
|
73 |
+
# Input fields for new user registration
|
74 |
+
new_username = st.text_input("Username", key="register_username")
|
75 |
+
new_password = st.text_input("Password", type="password", key="register_password")
|
76 |
+
|
77 |
+
if st.button("Register", key="register_button"):
|
78 |
+
if new_username in user_data:
|
79 |
+
st.error("Username already exists. Please choose a different username.")
|
80 |
+
elif new_username and new_password:
|
81 |
+
user_data[new_username] = {
|
82 |
+
"Password": hash_password(new_password)
|
83 |
+
}
|
84 |
+
pd.DataFrame.from_dict(user_data, orient='index').reset_index().rename(columns={"index": "Username"}).to_csv(user_file, index=False)
|
85 |
+
st.session_state.logged_in = True
|
86 |
+
st.session_state.current_user = new_username
|
87 |
+
st.success("Account registered successfully! You are now logged in.")
|
88 |
+
else:
|
89 |
+
st.error("Please fill out both fields.")
|
90 |
+
|
91 |
+
# Login tab
|
92 |
+
with tab2:
|
93 |
+
st.subheader("Login to Your Account")
|
94 |
+
|
95 |
+
# Input fields for user login
|
96 |
+
username = st.text_input("Username", key="login_username")
|
97 |
+
password = st.text_input("Password", type="password", key="login_password")
|
98 |
+
|
99 |
+
if st.button("Login", key="login_button"):
|
100 |
+
if username in user_data and user_data[username]["Password"] == hash_password(password):
|
101 |
+
st.session_state.logged_in = True
|
102 |
+
st.session_state.current_user = username
|
103 |
+
st.success(f"Welcome, {username}!")
|
104 |
+
else:
|
105 |
+
st.error("Invalid username or password.")
|
106 |
+
|
107 |
+
# If logged in, show the truck registration form
|
108 |
+
if st.session_state.logged_in:
|
109 |
+
st.subheader("Register a new truck")
|
110 |
+
|
111 |
+
# Input fields for truck details
|
112 |
+
truck_number = st.text_input("Truck Number")
|
113 |
+
driver_name = st.text_input("Driver's Name")
|
114 |
+
contact_number = st.text_input("Contact Number")
|
115 |
+
registration_date = st.date_input("Registration Date")
|
116 |
+
|
117 |
+
# Button to submit the form
|
118 |
+
if st.button("Register Truck"):
|
119 |
+
if truck_number and driver_name and contact_number:
|
120 |
+
truck_data[truck_number] = {
|
121 |
+
"Driver's Name": driver_name,
|
122 |
+
"Contact Number": contact_number,
|
123 |
+
"Registration Date": registration_date,
|
124 |
+
"Username": st.session_state.current_user,
|
125 |
+
}
|
126 |
+
# Convert truck_data to DataFrame and save to CSV
|
127 |
+
if truck_data:
|
128 |
+
truck_data_df = pd.DataFrame.from_dict(truck_data, orient='index').reset_index().rename(columns={"index": "Truck Number"})
|
129 |
+
truck_data_df.to_csv(data_file, index=False)
|
130 |
+
st.success(f"Truck {truck_number} registered successfully!")
|
131 |
+
else:
|
132 |
+
st.error("Error saving truck data.")
|
133 |
+
else:
|
134 |
+
st.error("Please fill out all the fields.")
|
135 |
+
|
136 |
+
# Display the registered trucks for the logged-in user
|
137 |
+
st.subheader(f"Registered Trucks for {st.session_state.current_user}")
|
138 |
+
user_trucks = {truck: details for truck, details in truck_data.items() if "Username" in details and details["Username"] == st.session_state.current_user}
|
139 |
+
|
140 |
+
if user_trucks:
|
141 |
+
for truck, details in user_trucks.items():
|
142 |
+
st.write(f"**Truck Number:** {truck}")
|
143 |
+
st.write(f"**Driver's Name:** {details['Driver\'s Name']}")
|
144 |
+
st.write(f"**Contact Number:** {details['Contact Number']}")
|
145 |
+
st.write(f"**Registration Date:** {details['Registration Date']}")
|
146 |
+
st.write("---")
|
147 |
+
else:
|
148 |
+
st.write("No trucks registered yet.")
|
149 |
+
|
150 |
+
# Logout button
|
151 |
+
if st.session_state.logged_in:
|
152 |
+
if st.button("Logout"):
|
153 |
+
st.session_state.logged_in = False
|
154 |
+
st.session_state.current_user = None
|
155 |
+
st.success("Logged out successfully!")
|
requirements.txt
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
streamlit
|
2 |
+
pandas
|