app.py

import os
import time
from datetime import datetime

import folium
import pandas as pd
import streamlit as st
from huggingface_hub import HfApi
from streamlit_folium import st_folium

from src.text_content import (
    COLOR_MAPPING,
    ICON_MAPPING,
    REVIEW_TEXT,
)
from src.utils import add_latlng_col, init_map, parse_gg_sheet, is_request_in_list, marker_request


import os
os.environ['STREAMLIT_UI_HIDE_SIDEBAR_NAV'] = 'True'
os.environ['STREAMLIT_UI_HIDE_TOP_BAR'] = 'True'


TOKEN = os.environ.get("HF_TOKEN", None)
REQUESTS_URL = "https://docs.google.com/spreadsheets/d/1gYoBBiBo1L18IVakHkf3t1fOGvHWb23loadyFZUeHJs/edit#gid=966953708"
INTERVENTIONS_URL = "https://docs.google.com/spreadsheets/d/1eXOTqunOWWP8FRdENPs4cU9ulISm4XZWYJJNR1-SrwY/edit#gid=2089222765"
api = HfApi(TOKEN)


# Initialize Streamlit Config
st.set_page_config(
    layout="wide",
    initial_sidebar_state="collapsed",
    page_icon="🤝",
    page_title="Nt3awnou Map نتعاونو",
)

hide_menu_style = """
        <style>
        #MainMenu {visibility: hidden;}
        </style>
        """
st.markdown(hide_menu_style, unsafe_allow_html=True)

st.markdown(
    """
<style>
    .block-container {
        padding-top: 0rem;
        padding-bottom: 0rem;
        padding-left: 0rem;
        padding-right: 0rem;
    }

    .awesome-marker i {
        font-size: 11px;
        margin-top: 8px;
    }
</style>
""",
    unsafe_allow_html=True,
)

def display_interventions(interventions_df):
    """Display NGO interventions on the map"""
    for index, row in interventions_df.iterrows():
        village_status = row[interventions_df.columns[7]]
        if pd.isna(village_status):
            continue
        if (
            row[interventions_df.columns[5]]
            == "Intervention prévue dans le futur / Planned future intervention"
        ):
            # future intervention
            color_mk = "pink"
            status = "Planned ⌛"
        elif (
            row[interventions_df.columns[5]]
            != "Intervention prévue dans le futur / Planned future intervention"
            and village_status
            != "Critique, Besoin d'aide en urgence / Critical, in urgent need of help"
        ):
            # past intervention  and village not in a critical condition
            color_mk = "green"
            status = "Done ✅"

        else:
            color_mk = "darkgreen"
            status = "Partial ⚠️"

        intervention_type = row[interventions_df.columns[6]].split("/")[0].strip()
        org = row[interventions_df.columns[1]]
        city = row[interventions_df.columns[9]]
        date = row[interventions_df.columns[4]]
        population = row[interventions_df.columns[11]]
        intervention_info = f"<b>Intervention Status:</b> {status}<br><b>Village Status:</b> {village_status.split('/')[0]}<br><b>Org:</b> {org}<br><b>Intervention:</b> {intervention_type}<br><b>Population:</b> {population}<br><b>📅 Date:</b> {date}"
        if row["latlng"] is None:
            continue
        
        fg.add_child(folium.Marker(
            location=row["latlng"],
            tooltip=city,
            popup=folium.Popup(intervention_info, max_width=300),
            icon=folium.Icon(color=color_mk),
        ))


def show_requests(filtered_df):
    """Display victim requests on the map"""
    for index, row in filtered_df.iterrows():
        request_type = row["ما هي احتياجاتك؟ (أضفها إذا لم يتم ذكرها)"]
        displayed_request = marker_request(request_type)
        if pd.isna(request_type):
            continue
        long_lat = row[
            "هل يمكنك تقديم الإحداثيات الدقيقة للموقع؟ (ادا كنت لا توجد بعين المكان) متلاً \n31.01837503440344, -6.781405948842175"
        ]
        maps_url = f"https://maps.google.com/?q={long_lat}"
        # we display all requests in popup text and use the first one for the icon/color
        display_text = f'<b>Request Type:</b> {request_type}<br><b>Id:</b> {row["id"]}<br><a href="{maps_url}" target="_blank" rel="noopener noreferrer"><b>Google Maps</b></a>'
        icon_name = ICON_MAPPING.get(displayed_request, None)
        if row["latlng"] is None:
            continue

        fg.add_child(folium.Marker(
            location=row["latlng"],
            tooltip=row["  لأي  جماعة / قيادة / دوار تنتمون ؟"]
            if not pd.isna(row["  لأي  جماعة / قيادة / دوار تنتمون ؟"])
            else None,
            popup=folium.Popup(display_text, max_width=300),
            icon=folium.Icon(
                color=COLOR_MAPPING.get(displayed_request, "blue"), icon=icon_name
            ),
        ))


def display_google_sheet_tables(data_url):
    """Display the google sheet tables for requests and interventions"""
    st.markdown(
        f"""<iframe src="{data_url}" width="100%" height="600px"></iframe>""",
        unsafe_allow_html=True,
    )


def display_dataframe(df, drop_cols, data_url, search_id=True, status=False, for_help_requests=False):
    """Display the dataframe in a table"""
    col_1, col_2 = st.columns([1, 1])

    with col_1:
        query = st.text_input(
            "🔍 Search for information / بحث عن المعلومات",
            key=f"search_requests_{int(search_id)}",
        )
    with col_2:
        if search_id:
            id_number = st.number_input(
                "🔍 Search for an id / بحث عن رقم",
                min_value=0,
                max_value=len(filtered_df),
                value=0,
                step=1,
            )
        if status:
            selected_status = st.selectbox(
                "🗓️ Status / حالة",
                ["all / الكل", "Done / تم", "Planned / مخطط لها"],
                key="status",
            )

    if query:
        # Filtering the dataframe based on the query
        mask = df.apply(lambda row: row.astype(str).str.contains(query).any(), axis=1)
        display_df = df[mask]
    else:
        display_df = df

    display_df = display_df.drop(drop_cols, axis=1)

    if search_id and id_number:
        display_df = display_df[display_df["id"] == id_number]

    if status:
        target = "Pouvez-vous nous préciser si vous êtes déjà intervenus ou si vous prévoyez de le faire | Tell us if you already made the intervention, or if you're planning to do it"
        if selected_status == "Done / تم":
            display_df = display_df[
                display_df[target] == "Intervention déjà passée / Past intevention"
            ]

        elif selected_status == "Planned / مخطط لها":
            display_df = display_df[
                display_df[target] != "Intervention déjà passée / Past intevention"
            ]

    st.dataframe(display_df, height=500)
    st.markdown(
        f"To view the full Google Sheet for advanced filtering go to: {data_url} **لعرض الورقة كاملة، اذهب إلى**"
    )
    # if we want to check hidden contact information
    if for_help_requests:
        st.markdown(
            "We are hiding contact information to protect the privacy of the victims. If you are an NGO and want to contact the victims, please contact us at [email protected]",
        )
        st.markdown(
            """
                    <div style="text-align: left;">
                    <a href="mailto:[email protected]">[email protected]</a> نحن نخفي معلومات الاتصال لحماية خصوصية الضحايا. إذا كنت جمعية وتريد الاتصال بالضحايا، يرجى الاتصال بنا على 
                    </div>
                    """,
            unsafe_allow_html=True,
        )


def id_review_submission():
    """Id review submission form"""
    st.subheader("🔍 Review of requests")
    st.markdown(REVIEW_TEXT)

    id_to_review = st.number_input(
        "Enter id / أدخل الرقم", min_value=0, max_value=len(df), value=0, step=1
    )
    reason_for_review = st.text_area("Explain why / أدخل سبب المراجعة")
    if st.button("Submit / أرسل"):
        if reason_for_review == "":
            st.error("Please enter a reason / الرجاء إدخال سبب")
        else:
            filename = f"review_id_{id_to_review}_{datetime.now().strftime('%Y-%m-%d_%H-%M-%S')}.txt"
            with open(filename, "w") as f:
                f.write(f"id: {id_to_review}, explanation: {reason_for_review}\n")
            api.upload_file(
                path_or_fileobj=filename,
                path_in_repo=filename,
                repo_id="nt3awnou/review_requests",
                repo_type="dataset",
            )
            st.success(
                "Submitted at https://huggingface.co/datasets/nt3awnou/review_requests/ تم الإرسال"
            )


# # Logo and Title
# st.markdown(LOGO, unsafe_allow_html=True)
# # st.title("Nt3awnou نتعاونو")
# st.markdown(SLOGAN, unsafe_allow_html=True)

# Load data and initialize map with plugins
df = parse_gg_sheet(REQUESTS_URL)
df = add_latlng_col(df, process_column=15)
interventions_df = parse_gg_sheet(INTERVENTIONS_URL)
interventions_df = add_latlng_col(interventions_df, process_column=12)
m = init_map()
fg = folium.FeatureGroup(name="Markers")

# Selection of requests
options = [
    "إغاثة",
    "مساعدة طبية",
    "مأوى",
    "طعام وماء",
    "مخاطر (تسرب الغاز، تلف في الخدمات العامة...)",
]
selected_options = []



# st.markdown(
#     "👉 **Choose request type | Choissisez le type de demande | اختر نوع الطلب**"
# )
# col1, col2, col3, col4, col5 = st.columns([2, 3, 2, 3, 4])
# cols = [col1, col2, col3, col4, col5]

# for i, option in enumerate(options):
#     checked = cols[i].checkbox(HEADERS_MAPPING[option], value=True)
#     if checked:
#         selected_options.append(option)


df["id"] = df.index
# keep rows with at least one request in selected_options
filtered_df = df[df["ما هي احتياجاتك؟ (أضفها إذا لم يتم ذكرها)"].apply(
    lambda x: is_request_in_list(x, selected_options)
)]

# # keep rows with at least one request in selected_options
# filtered_df = df[df["ما هي احتياجاتك؟ (أضفها إذا لم يتم ذكرها)"].apply(
#     lambda x: is_request_in_list(x, selected_options)
# )]

display_interventions(interventions_df)

# # Show requests
show_requests(df)

st_folium(m, use_container_width=True, returned_objects=[], feature_group_to_add=fg, key="map")