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import streamlit as st | |
import json | |
import pandas as pd | |
import requests | |
def get_coordinates(address: str, api_key: str) -> list: | |
""" | |
Get the coordinates (latitude and longitude) of an address using the OpenCage Data Geocoding API. | |
Parameters: | |
address (str): The address to geocode. | |
api_key (str): Your OpenCage Data API key. | |
Returns: | |
list: A list containing the latitude and longitude of the address. | |
""" | |
# Encode the address for the URL | |
encoded_address = requests.utils.quote(address) | |
# Construct the API URL | |
url = f"https://api.opencagedata.com/geocode/v1/json?q={encoded_address}&key={api_key}" | |
# Make the API request | |
response = requests.get(url) | |
if response.status_code == 200: | |
# Parse the JSON response | |
data = response.json() | |
# Check if there are any results | |
if data['results']: | |
# Extract the latitude and longitude from the first result | |
latitude = data['results'][0]['geometry']['lat'] | |
longitude = data['results'][0]['geometry']['lng'] | |
return [latitude, longitude] | |
else: | |
raise ValueError("No results found for the given address.") | |
else: | |
raise Exception(f"API request failed with status code {response.status_code}") | |
def haversine(lat1, lon1, lat2, lon2): | |
R = 6371 # Earth radius in kilometers. Use 3956 for miles. | |
dlat = math.radians(lat2 - lat1) | |
dlon = math.radians(lon2 - lon1) | |
a = math.sin(dlat / 2) ** 2 + math.cos(math.radians(lat1)) * math.cos(math.radians(lat2)) * math.sin(dlon / 2) ** 2 | |
c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a)) | |
distance = R * c | |
return distance | |
def validate_zipcode(zipcode): | |
try: | |
if len(zipcode) == 5 and zipcode.isdigit(): | |
return True | |
else: | |
return False | |
except: | |
return False | |
# Function to handle form submission | |
def form_dialog(): | |
city = st.radio("City", ("San Fransisco", "Oakland", "Berkeley")) | |
sex = st.radio("Sex", ("Male", "Female", "Other")) | |
lgbtq = st.radio("Do you identify as LGBTQ+ (some shelters serve specifically this community", ("Yes", "No")) | |
domestic_violence = st.radio("Are you experiencing domestic violence (some shelters serve these individuals specifically", ("Yes", "No")) | |
zipcode = st.text_input("Zipcode (Optional)", value="") | |
urgency = st.radio("How quickly do you need help?", ("Today", "In the next few days", "In a week or more")) | |
duration = st.radio("How long do you need a place to stay?", ("Overnight", "A month of less", "A couple of months", "A year or more")) | |
needs = st.text_area("Needs (Optional - tell us what you need and how we can help)", value="") | |
if st.button("Submit"): | |
if zipcode and not validate_zipcode(zipcode): | |
st.error("Please enter a valid 5-digit zipcode.") | |
else: | |
data = { | |
"City": city, | |
"Sex": sex, | |
"LGBTQ": lgbtq, | |
"Domestic Violence": domestic_violence, | |
"Zipcode": zipcode, | |
"Urgency": urgency, | |
"Duration": duration, | |
"Needs": needs | |
} | |
with open('data.json', 'w') as f: | |
json.dump(data, f) | |
st.session_state.form_submitted = True | |
st.session_state.data = data | |
st.rerun() | |
# Initialize session state | |
if 'form_submitted' not in st.session_state: | |
st.session_state.form_submitted = False | |
if 'shelter_index' not in st.session_state: | |
st.session_state.shelter_index = 0 | |
shelters_def = [ | |
{"title": "Shelter 1", "description": "This is the 1st shelter",}, | |
{"title": "Shelter 2", "description": "This is the 2nd shelter.",}, | |
{"title": "Shelter 3", "description": "This is the 3rd shelter.",} | |
] | |
# Page config | |
st.set_page_config( | |
page_title="ShelterSearch", | |
layout="wide", | |
) | |
st.title("ShelterSearch") | |
if not st.session_state.form_submitted: | |
if st.button("Open Form"): | |
form_dialog() | |
else: | |
with open('data.json', 'r') as f: | |
data = json.load(f) | |
# Display | |
st.json(data) | |
shelters = pd.read_csv("database.csv") | |
# filter sex | |
shelters = shelters[(shelters['Sex'] == data['Sex']) | (shelters['Sex'] == 'All')] | |
# filter city | |
shelters = shelters[(shelters['City'] == data['City'])] | |
# filter lgbtq | |
if data['LGBTQ'] == 'No': | |
shelters = shelters[(shelters['LGBTQ'] == "No")] | |
# filter domestic violence | |
if data['Domestic Violence'] == 'No': | |
shelters = shelters[(shelters['Domestic Violence'] == "No")] | |
# calculate distances between zipcodes | |
api_key = os.environ['OpenCage_API_KEY'] | |
shelters_coordinates = shelters.apply(lambda row: get_coordinates(row['Zip Code'], api_key), axis=1).tolist() | |
user_coordinates = get_coordinates(data['Zip Code']) | |
distances = [] | |
for coordinates in shelters_coordinates: | |
distances.append(haversine(coordinates[0], coordinates[1], user_coordinates[0], user_coordinates[1])) | |
shelters['zipcode_score'] = distances | |
# urgency | |
# duration | |
# services | |
st.table(shelters) | |
# Display the current shelter information | |
shelter = shelters_def[st.session_state.shelter_index] | |
st.write(shelter["description"]) | |
# Create two columns | |
col1, col2 = st.columns([1,1]) | |
# Add buttons to each column | |
with col1: | |
if st.button("Previous"): | |
if st.session_state.shelter_index > 0: | |
st.session_state.shelter_index -= 1 | |
st.experimental_rerun() | |
with col2: | |
if st.button("Next"): | |
if st.session_state.shelter_index < len(shelters_def) - 1: | |
st.session_state.shelter_index += 1 | |
st.experimental_rerun() |