import streamlit as st import requests import pandas as pd import json from datetime import datetime import time import os import functools # Set page configuration st.set_page_config( page_title="PetMatch - Find Your Perfect Pet", page_icon="🐾", layout="centered" ) # Custom CSS st.markdown(""" """, unsafe_allow_html=True) # Initialize session state variables if 'access_token' not in st.session_state: st.session_state.access_token = None if 'token_expires' not in st.session_state: st.session_state.token_expires = 0 if 'search_results' not in st.session_state: st.session_state.search_results = None if 'selected_pet' not in st.session_state: st.session_state.selected_pet = None if 'page' not in st.session_state: st.session_state.page = 1 if 'favorites' not in st.session_state: st.session_state.favorites = [] # Function to get access token def get_access_token(): # Check if token is still valid if st.session_state.access_token and time.time() < st.session_state.token_expires: return st.session_state.access_token # Get API credentials from environment variables or secrets api_key = os.environ.get('PETFINDER_API_KEY') or st.secrets.get('PETFINDER_API_KEY') api_secret = os.environ.get('PETFINDER_API_SECRET') or st.secrets.get('PETFINDER_API_SECRET') if not api_key or not api_secret: st.error("⚠️ Petfinder API credentials are missing. Please set them in your environment variables or Streamlit secrets.") return None # Get new token url = "https://api.petfinder.com/v2/oauth2/token" data = { "grant_type": "client_credentials", "client_id": api_key, "client_secret": api_secret } try: response = requests.post(url, data=data) response.raise_for_status() token_data = response.json() st.session_state.access_token = token_data['access_token'] st.session_state.token_expires = time.time() + token_data['expires_in'] - 60 # Buffer of 60 seconds return st.session_state.access_token except requests.exceptions.RequestException as e: st.error(f"⚠️ Error getting access token: {str(e)}") return None # Function to search pets def search_pets(params): token = get_access_token() if not token: return None url = "https://api.petfinder.com/v2/animals" headers = {"Authorization": f"Bearer {token}"} try: response = requests.get(url, headers=headers, params=params) response.raise_for_status() return response.json() except requests.exceptions.RequestException as e: st.error(f"⚠️ Error searching pets: {str(e)}") return None # Function to get breeds def get_breeds(animal_type): token = get_access_token() if not token: return [] url = f"https://api.petfinder.com/v2/types/{animal_type}/breeds" headers = {"Authorization": f"Bearer {token}"} try: response = requests.get(url, headers=headers) response.raise_for_status() return [breed['name'] for breed in response.json()['breeds']] except requests.exceptions.RequestException as e: st.error(f"⚠️ Error getting breeds: {str(e)}") return [] # Function to get organizations def get_organizations(location): token = get_access_token() if not token: return [] url = "https://api.petfinder.com/v2/organizations" headers = {"Authorization": f"Bearer {token}"} params = {"location": location, "distance": 100, "limit": 100} try: response = requests.get(url, headers=headers, params=params) response.raise_for_status() return [(org['id'], org['name']) for org in response.json()['organizations']] except requests.exceptions.RequestException as e: st.error(f"⚠️ Error getting organizations: {str(e)}") return [] # Function to get pet details def get_pet_details(pet_id): token = get_access_token() if not token: return None url = f"https://api.petfinder.com/v2/animals/{pet_id}" headers = {"Authorization": f"Bearer {token}"} try: response = requests.get(url, headers=headers) response.raise_for_status() return response.json()['animal'] except requests.exceptions.RequestException as e: st.error(f"⚠️ Error getting pet details: {str(e)}") return None # Function to format pet card def display_pet_card(pet, is_favorite=False, context="search"): col1, col2 = st.columns([1, 2]) with col1: if pet['photos'] and len(pet['photos']) > 0: st.image(pet['photos'][0]['medium'], use_container_width=True) else: st.image("https://via.placeholder.com/300x300?text=No+Image", use_container_width=True) with col2: st.markdown(f"
{pet['name']}
", unsafe_allow_html=True) # Tags tags_html = "" if pet['status'] == 'adoptable': tags_html += "Adoptable " else: tags_html += f"{pet['status'].title()} " if pet['age']: tags_html += f"{pet['age']} " if pet['gender']: tags_html += f"{pet['gender']} " if pet['size']: tags_html += f"{pet['size']} " st.markdown(f"
{tags_html}
", unsafe_allow_html=True) st.markdown("
", unsafe_allow_html=True) if pet['breeds']['primary']: breed_text = pet['breeds']['primary'] if pet['breeds']['secondary']: breed_text += f" & {pet['breeds']['secondary']}" if pet['breeds']['mixed']: breed_text += " (Mixed)" st.markdown(f"Breed: {breed_text}", unsafe_allow_html=True) if pet['colors']['primary'] or pet['colors']['secondary'] or pet['colors']['tertiary']: colors = [c for c in [pet['colors']['primary'], pet['colors']['secondary'], pet['colors']['tertiary']] if c] st.markdown(f"Colors: {', '.join(colors)}", unsafe_allow_html=True) if 'location' in pet and pet['contact']['address']['city'] and pet['contact']['address']['state']: st.markdown(f"Location: {pet['contact']['address']['city']}, {pet['contact']['address']['state']}", unsafe_allow_html=True) st.markdown("
", unsafe_allow_html=True) if pet['description']: st.markdown(f"
{pet['description'][:500]}{'...' if len(pet['description']) > 500 else ''}
", unsafe_allow_html=True) col1, col2 = st.columns(2) with col1: if st.button("View Details", key=f"details_{context}_{pet['id']}"): st.session_state.selected_pet = pet['id'] st.rerun() with col2: if not is_favorite: if st.button("Add to Favorites", key=f"fav_{context}_{pet['id']}"): if pet['id'] not in [p['id'] for p in st.session_state.favorites]: st.session_state.favorites.append(pet) st.success(f"Added {pet['name']} to favorites!") st.rerun() else: if st.button("Remove from Favorites", key=f"unfav_{context}_{pet['id']}"): st.session_state.favorites = [p for p in st.session_state.favorites if p['id'] != pet['id']] st.success(f"Removed {pet['name']} from favorites!") st.rerun() # Function to generate pet compatibility message def get_compatibility_message(pet): messages = [] # Check for kids if 'children' in pet['environment'] and pet['environment']['children'] is not None: if pet['environment']['children']: messages.append("✅ Good with children") else: messages.append("❌ Not recommended for homes with children") # Check for dogs if 'dogs' in pet['environment'] and pet['environment']['dogs'] is not None: if pet['environment']['dogs']: messages.append("✅ Good with dogs") else: messages.append("❌ Not recommended for homes with dogs") # Check for cats if 'cats' in pet['environment'] and pet['environment']['cats'] is not None: if pet['environment']['cats']: messages.append("✅ Good with cats") else: messages.append("❌ Not recommended for homes with cats") # Handling care needs if pet['attributes']: if 'special_needs' in pet['attributes'] and pet['attributes']['special_needs']: messages.append("⚠️ Has special needs") if 'house_trained' in pet['attributes'] and pet['attributes']['house_trained']: messages.append("✅ House-trained") elif 'house_trained' in pet['attributes']: messages.append("❌ Not house-trained") if 'shots_current' in pet['attributes'] and pet['attributes']['shots_current']: messages.append("✅ Vaccinations up to date") if 'spayed_neutered' in pet['attributes'] and pet['attributes']['spayed_neutered']: messages.append("✅ Spayed/neutered") return messages # Function to display pet details page # Changes to make keys unique across different tabs # Function to display pet details page with unique tab identifier def display_pet_details(pet_id, context="search", tab_id="tab1"): pet = get_pet_details(pet_id) if not pet: st.error("Unable to retrieve pet details. Please try again.") return # Back button with unique key that includes tab identifier if st.button("← Back to Search Results", key=f"back_{tab_id}_{context}_{pet_id}"): st.session_state.selected_pet = None st.rerun() # Force immediate rerun # Pet name and status st.markdown(f"

{pet['name']}

", unsafe_allow_html=True) status_color = "#c8e6c9" if pet['status'] == 'adoptable' else "#ffcdd2" st.markdown(f"
{pet['status'].title()}
", unsafe_allow_html=True) # Pet photos if pet['photos'] and len(pet['photos']) > 0: photo_cols = st.columns(min(3, len(pet['photos']))) for i, col in enumerate(photo_cols): if i < len(pet['photos']): col.image(pet['photos'][i]['large'], use_container_width=True) else: st.image("https://via.placeholder.com/500x300?text=No+Image", use_container_width=True) # Pet details col1, col2 = st.columns(2) with col1: st.markdown("### Details") # Fix the breed line breed_text = pet['breeds']['primary'] if pet['breeds']['secondary']: breed_text += f" & {pet['breeds']['secondary']}" if pet['breeds']['mixed']: breed_text += " (Mixed)" details = [ f"**Type:** {pet['type']}", f"**Breed:** {breed_text}", f"**Age:** {pet['age']}", f"**Gender:** {pet['gender']}", f"**Size:** {pet['size']}" ] # Fix the colors line as well, to be safe colors = [c for c in [pet['colors']['primary'], pet['colors']['secondary'], pet['colors']['tertiary']] if c] if colors: details.append(f"**Colors:** {', '.join(colors)}") for detail in details: st.markdown(detail) with col2: st.markdown("### Compatibility") compatibility = get_compatibility_message(pet) for msg in compatibility: st.markdown(msg) # Description if pet['description']: if pet['description']: st.markdown("### About") #st.markdown(pet['description']) st.markdown(f"
{pet['description'][:500]}{'...' if len(pet['description']) > 500 else ''}
", unsafe_allow_html=True) # Contact information st.markdown("### Adoption Information") # Organization info if pet['organization_id']: st.markdown(f"**Organization:** {pet['organization_id']}") # Contact details contact_info = [] if pet['contact']['email']: contact_info.append(f"**Email:** {pet['contact']['email']}") if pet['contact']['phone']: contact_info.append(f"**Phone:** {pet['contact']['phone']}") if pet['contact']['address']['city'] and pet['contact']['address']['state']: contact_info.append(f"**Location:** {pet['contact']['address']['city']}, {pet['contact']['address']['state']} {pet['contact']['address']['postcode'] or ''}") for info in contact_info: st.markdown(info) # URL to pet on Petfinder if pet['url']: st.markdown(f"[View on Petfinder]({pet['url']})") # Add to favorites with unique key is_favorite = pet['id'] in [p['id'] for p in st.session_state.favorites] if not is_favorite: if st.button("Add to Favorites", key=f"add_fav_{tab_id}_{context}_{pet_id}"): st.session_state.favorites.append(pet) st.success(f"Added {pet['name']} to favorites!") st.rerun() else: if st.button("Remove from Favorites", key=f"rem_fav_{tab_id}_{context}_{pet_id}"): st.session_state.favorites = [p for p in st.session_state.favorites if p['id'] != pet['id']] st.success(f"Removed {pet['name']} from favorites!") st.rerun() # Function to format pet card with unique tab identifier def display_pet_card(pet, is_favorite=False, context="search", tab_id="tab1"): col1, col2 = st.columns([1, 2]) with col1: if pet['photos'] and len(pet['photos']) > 0: st.image(pet['photos'][0]['medium'], use_container_width=True) else: st.image("https://via.placeholder.com/300x300?text=No+Image", use_container_width=True) with col2: st.markdown(f"
{pet['name']}
", unsafe_allow_html=True) # Tags tags_html = "" if pet['status'] == 'adoptable': tags_html += "Adoptable " else: tags_html += f"{pet['status'].title()} " if pet['age']: tags_html += f"{pet['age']} " if pet['gender']: tags_html += f"{pet['gender']} " if pet['size']: tags_html += f"{pet['size']} " st.markdown(f"
{tags_html}
", unsafe_allow_html=True) st.markdown("
", unsafe_allow_html=True) if pet['breeds']['primary']: breed_text = pet['breeds']['primary'] if pet['breeds']['secondary']: breed_text += f" & {pet['breeds']['secondary']}" if pet['breeds']['mixed']: breed_text += " (Mixed)" st.markdown(f"Breed: {breed_text}", unsafe_allow_html=True) if pet['colors']['primary'] or pet['colors']['secondary'] or pet['colors']['tertiary']: colors = [c for c in [pet['colors']['primary'], pet['colors']['secondary'], pet['colors']['tertiary']] if c] st.markdown(f"Colors: {', '.join(colors)}", unsafe_allow_html=True) if 'location' in pet and pet['contact']['address']['city'] and pet['contact']['address']['state']: st.markdown(f"Location: {pet['contact']['address']['city']}, {pet['contact']['address']['state']}", unsafe_allow_html=True) st.markdown("
", unsafe_allow_html=True) if pet['description']: st.markdown(f"
{pet['description'][:300]}{'...' if len(pet['description']) > 300 else ''}
", unsafe_allow_html=True) col1, col2 = st.columns(2) with col1: if st.button("View Details", key=f"details_{tab_id}_{context}_{pet['id']}"): st.session_state.selected_pet = pet['id'] st.rerun() with col2: if not is_favorite: if st.button("Add to Favorites", key=f"fav_{tab_id}_{context}_{pet['id']}"): if pet['id'] not in [p['id'] for p in st.session_state.favorites]: st.session_state.favorites.append(pet) st.success(f"Added {pet['name']} to favorites!") st.rerun() else: if st.button("Remove from Favorites", key=f"unfav_{tab_id}_{context}_{pet['id']}"): st.session_state.favorites = [p for p in st.session_state.favorites if p['id'] != pet['id']] st.success(f"Removed {pet['name']} from favorites!") st.rerun() # Main app with updated function calls def main(): # Title st.markdown("

🐾 PetMatch

", unsafe_allow_html=True) st.markdown("

Find your perfect pet companion

", unsafe_allow_html=True) # Create tabs tab1, tab2, tab3 = st.tabs(["Search", "Favorites", "About"]) with tab1: # If a pet is selected, show details if st.session_state.selected_pet: display_pet_details(st.session_state.selected_pet, context="search", tab_id="tab1") else: # Search form with st.expander("Search Options", expanded=True): with st.form("pet_search_form"): col1, col2 = st.columns(2) with col1: animal_type = st.selectbox( "Animal Type", ["Dog", "Cat", "Rabbit", "Small & Furry", "Horse", "Bird", "Scales, Fins & Other", "Barnyard"] ) location = st.text_input("Location (ZIP code or City, State)", "") distance = st.slider("Distance (miles)", min_value=10, max_value=500, value=50, step=10) with col2: age_options = ["Doesn't Matter", "Baby", "Young", "Adult", "Senior"] age = st.selectbox("Age", age_options) size_options = ["Doesn't Matter", "Small", "Medium", "Large", "XLarge"] size = st.selectbox("Size", size_options) gender_options = ["Doesn't Matter", "Male", "Female"] gender = st.selectbox("Gender", gender_options) good_with_children = st.checkbox("Good with children") good_with_dogs = st.checkbox("Good with dogs") good_with_cats = st.checkbox("Good with cats") house_trained = st.checkbox("House-trained") special_needs = st.checkbox("Special needs") submitted = st.form_submit_button("Search") if submitted: # Build search parameters params = { "type": animal_type.split(" ")[0], # Take first word for types like "Small & Furry" "location": location, "distance": distance, "status": "adoptable", "sort": "distance", "limit": 100 } if age != "Doesn't Matter": params["age"] = age if size != "Doesn't Matter": params["size"] = size if gender != "Doesn't Matter": params["gender"] = gender # Add advanced filters if good_with_children: params["good_with_children"] = 1 if good_with_dogs: params["good_with_dogs"] = 1 if good_with_cats: params["good_with_cats"] = 1 if house_trained: params["house_trained"] = 1 if special_needs: params["special_needs"] = 1 # Perform search results = search_pets(params) if results and 'animals' in results: st.session_state.search_results = results st.session_state.page = 1 st.success(f"Found {len(results['animals'])} pets!") else: st.error("No pets found with those criteria. Try expanding your search.") # Display search results if st.session_state.search_results and 'animals' in st.session_state.search_results: st.markdown("### Search Results") # Pagination results = st.session_state.search_results['animals'] total_pages = (len(results) + 9) // 10 # 10 items per page # Display page selector if total_pages > 1: col1, col2, col3 = st.columns([1, 3, 1]) with col2: page = st.slider("Page", 1, total_pages, st.session_state.page) if page != st.session_state.page: st.session_state.page = page # Display pets for current page start_idx = (st.session_state.page - 1) * 10 end_idx = min(start_idx + 10, len(results)) for pet in results[start_idx:end_idx]: st.markdown("---") display_pet_card(pet, tab_id="tab1") with tab2: st.markdown("### Your Favorite Pets") if not st.session_state.favorites: st.info("You haven't added any pets to your favorites yet. Start searching to find your perfect match!") else: # Check if a pet is selected from favorites if st.session_state.selected_pet: display_pet_details(st.session_state.selected_pet, context="favorites", tab_id="tab2") else: for pet in st.session_state.favorites: st.markdown("---") display_pet_card(pet, is_favorite=True, context="favorites", tab_id="tab2") with tab3: st.markdown("### About PetMatch") st.markdown(""" PetMatch helps you find your perfect pet companion from thousands of adoptable animals across the country. **How to use PetMatch:** 1. Search for pets based on your preferences and location 2. Browse through the results and click "View Details" to learn more about each pet 3. Add pets to your favorites to keep track of the ones you're interested in 4. Contact the shelter or rescue organization directly using the provided information **Data Source:** PetMatch uses the Petfinder API to provide up-to-date information on adoptable pets. Petfinder is North America's largest adoption website with hundreds of thousands of adoptable pets listed by more than 11,500 animal shelters and rescue organizations. **Privacy:** PetMatch does not store any personal information or search history. Your favorites are stored locally in your browser and are not shared with any third parties. """) if __name__ == "__main__": main()