import os import time from src.markers import display_interventions, display_solved, show_requests, show_verified_requests from src.filters import show_requests_filters, show_interventions_filters import folium import streamlit as st from huggingface_hub import HfApi from streamlit_folium import st_folium from src.components import show_dataframes_metrics, show_embed_code, id_review_submission, show_donations from src.text_content import ( CREDITS_TEXT, LOGO, SLOGAN, ) from src.utils import init_map from src.map_utils import get_legend_macro from src.dataframes import display_dataframe from src.dataframes import load_data, VERIFIED_REQUESTS_URL, REQUESTS_URL, INTERVENTIONS_URL from src.text_content import set_lang, get_localizator import gettext gettext.install("myapplication") TOKEN = os.environ.get("HF_TOKEN", None) api = HfApi(TOKEN) # Initialize Streamlit Config st.set_page_config( layout="wide", initial_sidebar_state="collapsed", page_icon="🤝", page_title="Nt3awnou نتعاونو", ) # Initialize States if "sleep_time" not in st.session_state: st.session_state.sleep_time = 2 if "auto_refresh" not in st.session_state: st.session_state.auto_refresh = False auto_refresh = st.sidebar.checkbox("Auto Refresh?", st.session_state.auto_refresh) if auto_refresh: number = st.sidebar.number_input("Refresh rate in seconds", value=st.session_state.sleep_time) st.session_state.sleep_time = number # Logo and Title st.markdown(LOGO, unsafe_allow_html=True) # st.title("Nt3awnou نتعاونو") st.markdown(SLOGAN, unsafe_allow_html=True) # Localization lang_options = { "ar": "العربية", "fr": "Français", "en": "English", } # multiple option (NOT in sidebar) lang = st.selectbox("Choose language / اختر اللغة", list(lang_options.keys()), format_func=lambda x: lang_options[x]) if lang == "en": _ = gettext.gettext else: localizator = gettext.translation("messages", localedir="locales", languages=[lang]) localizator.install() # Initialize map m, emergency_fgs, intervention_fgs = init_map() fg = folium.FeatureGroup(name="Markers") # Selection of requests selected_options, options, show_unverified, show_interventions = show_requests_filters() # Load data ( df, filtered_df, interventions_df, verified_df, filtered_verified_df, solved_verified_requests, douar_df, len_requests, len_interventions, len_solved_verified_requests, ) = load_data(show_unverified, selected_options, options) # Selection of interventions selected_statuses = show_interventions_filters() # Add interventions markers to map if show_interventions: display_solved(solved_verified_requests, selected_statuses, fg) display_interventions(interventions_df, selected_statuses, m, intervention_fgs) # Add requests markers to map if show_unverified: show_requests(filtered_df, fg) # Add verified requests markers to map show_verified_requests(filtered_verified_df, emergency_fgs) # Add legend legend_macro = get_legend_macro(show_unverified) # delete old legend for child in m.get_root()._children: pass # TODO: fix this # if child.startswith("macro_element"): # m.get_root()._children.remove(child) m.get_root().add_child(legend_macro) # add_village_names(douar_df, m) st_folium(m, use_container_width=True, returned_objects=[], feature_group_to_add=fg, key="map") # Embed code show_embed_code() # Show metrics show_dataframes_metrics(len_requests, len_interventions, len_solved_verified_requests, lang) # Verified Requests table # st.divider() # st.subheader(_("📝 **Table of verified requests**")) # drop_cols = [ # "Phone Number", # "id", # "Status", # "Intervenant ", # "Intervention Date", # "Any remarks", # "VerificationStatus", # "Automatic Extracted Coordinates", # ] # display_dataframe( # verified_df, drop_cols, VERIFIED_REQUESTS_URL, search_id=True, for_help_requests=True, show_link=False # ) # Requests table # st.divider() # st.subheader("📝 **Table of requests**") # drop_cols = [ # "(عند الامكان) رقم هاتف شخص موجود في عين المكان", # "الرجاء الضغط على الرابط التالي لمعرفة موقعك إذا كان متاحا", # "GeoStamp", # "GeoCode", # "GeoAddress", # "Status", # "id", # ] # display_dataframe(filtered_df, drop_cols, REQUESTS_URL, search_id=True, for_help_requests=True) # # Interventions table # st.divider() # st.subheader("📝 **Table of interventions**") # display_dataframe( # interventions_df, # [], # We show NGOs contact information # INTERVENTIONS_URL, # search_id=False, # status=True, # for_help_requests=False, # ) # Submit an id for review # st.divider() # id_review_submission(api) # Donations can be made to the gouvernmental fund under the name st.divider() show_donations(lang) # Credits st.markdown( CREDITS_TEXT, unsafe_allow_html=True, ) if auto_refresh: time.sleep(number) st.experimental_rerun() if lang == "ar": st.markdown( """ """, unsafe_allow_html=True, )