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nouamanetazi HF staff
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from datetime import datetime
import folium
import pandas as pd
COLOR_MAPPING = {
"إغاثة": "red",
"مساعدة طبية": "orange",
"مأوى": "beige",
"طعام وماء": "blue",
"مخاطر (تسرب الغاز، تلف في الخدمات العامة...)": "gray",
}
ICON_MAPPING = {
"إغاثة": "bell", # life ring icon for rescue
"مساعدة طبية": "heart", # medical kit for medical assistance
"مأوى": "home", # home icon for shelter
"طعام وماء": "cutlery", # cutlery (fork and knife) for food & water
"مخاطر (تسرب الغاز، تلف في الخدمات العامة...)": "Warning" # warning triangle for dangers
}
def numcol(x):
return ord(x) - ord("A")
def marker_request(request):
# in case of multiple requests we use the first one for the marker's icon
# requests are already sorted by priority from the form
try:
displayed_request = request.split(',')[0]
except:
displayed_request = request
return displayed_request
## Interventions
def display_interventions(interventions_df, selected_statuses, map_obj, intervention_fgs):
"""Display NGO interventions on the map"""
for index, row in interventions_df.iterrows():
village_status = row[interventions_df.columns[numcol("K")]]
is_future_intervention = (
row[interventions_df.columns[numcol("H")]] == "Intervention prévue dans le futur / Planned future intervention"
)
if pd.isna(village_status) and not is_future_intervention:
village_status = "Partiellement satisfait / Partially Served"
if village_status not in selected_statuses:
continue
if is_future_intervention:
color_mk = "pink"
status = "Planned ⌛"
elif 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 📝"
# ['Horodateur', 'Organization Name', 'Association ID', 'Speciality',
# 'Phone 1', 'Phone 2', 'Email', 'Intervention status',
# 'Intervention date', 'Types of Help Provided',
# 'Current situation of the area', 'Future help type', 'Douar name',
# 'Commune', 'Caidat', ' Google Maps Link',
# 'Accessibility to the targeted douar', 'Type of accessibility',
# 'Population of the douar if available', 'Intervention Additional Info',
# 'Any Additional info is welcome', 'Automatic Extracted Coordinates',
# 'Unnamed: 22'],
org = row[interventions_df.columns[numcol("B")]]
association_id = row[interventions_df.columns[numcol("C")]]
speciality = row[interventions_df.columns[numcol("D")]]
phone_1 = row[interventions_df.columns[numcol("E")]]
phone_2 = row[interventions_df.columns[numcol("F")]]
email = row[interventions_df.columns[numcol("G")]]
intervention_status = row[interventions_df.columns[numcol("H")]]
intervention_date = row[interventions_df.columns[numcol("I")]]
help_type = row[interventions_df.columns[numcol("J")]]
current_situation = row[interventions_df.columns[numcol("K")]]
future_help_type = row[interventions_df.columns[numcol("L")]]
douar_name = row[interventions_df.columns[numcol("M")]]
commune = row[interventions_df.columns[numcol("N")]]
caidat = row[interventions_df.columns[numcol("O")]]
row[interventions_df.columns[numcol("P")]]
accessibility_to_douar = row[interventions_df.columns[numcol("Q")]]
type_of_accessibility = row[interventions_df.columns[numcol("R")]]
population = row[interventions_df.columns[numcol("S")]]
intervention_additional_info = row[interventions_df.columns[numcol("T")]]
any_additional_info = row[interventions_df.columns[numcol("U")]]
full_douar_name = ", ".join([x for x in [douar_name, commune, caidat] if not pd.isna(x)])
intervention_info = f"""
<b>Org:</b> {org}<br>
<b>Association ID:</b> {association_id}<br>
<b>Speciality:</b> {speciality}<br>
<b>Phone 1:</b> {phone_1}<br>
<b>Phone 2:</b> {phone_2}<br>
<b>Email:</b> {email}<br>
<b>Intervention Date:</b> {intervention_date}<br>
<b>Intervention Status:</b> {intervention_status}<br>
<b>Help Type:</b> {help_type}<br>
<b>Current Situation:</b> {current_situation}<br>
<b>Future Help Type:</b> {future_help_type}<br>
<b>Douar Name:</b> {full_douar_name}<br>
<b>Accessibility to Douar:</b> {accessibility_to_douar}<br>
<b>Type of Accessibility:</b> {type_of_accessibility}<br>
<b>Population:</b> {population}<br>
<b>Intervention Additional Info:</b> {intervention_additional_info}<br>
<b>Any Additional Info:</b> {any_additional_info}<br>
""" #TODO: filter nans
if row["latlng"] is None:
continue
fg = intervention_fgs[status]
fg.add_child(
folium.Marker(
location=row["latlng"],
tooltip=full_douar_name,
popup=folium.Popup(intervention_info, max_width=300),
icon=folium.Icon(color=color_mk),
)
)
def display_solved(solved_verified_requests, selected_statuses, feature_group):
for index, row in solved_verified_requests.iterrows():
if row["latlng"] is None:
continue
intervention_status = row[solved_verified_requests.columns[8]]
is_future_intervention = (
intervention_status == "Planned"
)
if is_future_intervention:
status = "Planned ⌛"
icon = folium.Icon(icon="heart", prefix="glyphicon", color="pink", icon_color="red")
else:
status = "Done ✅"
icon = folium.Icon(icon="heart", prefix="glyphicon", color="green", icon_color="red")
# if village_status not in selected_statuses:
# continue # TODO: enable filters
intervention_type = row[solved_verified_requests.columns[2]]
details = row[solved_verified_requests.columns[3]]
contact = row[solved_verified_requests.columns[4]]
location = row[solved_verified_requests.columns[5]]
org = row[solved_verified_requests.columns[9]]
intervention_date = row[solved_verified_requests.columns[10]]
remarks = row[solved_verified_requests.columns[11]]
intervention_info = f"""
<b>Intervention Date:</b> {intervention_date}<br>
<b>Org:</b> {org}<br>
<b>Intervention:</b> {intervention_type}<br>
<b>Invervention Status:</b> {status}<br>
<b>Details:</b> {details}<br>
<b>Location:</b> {location}<br>
<b>Remarks:</b> {remarks}<br>
<b>Contact:</b> {contact}<br>
"""
# golden color
feature_group.add_child(
folium.Marker(
location=row["latlng"],
tooltip=location,
popup=folium.Popup(intervention_info, max_width=300),
icon=icon
)
)
## Requests
def show_requests(filtered_df, feature_group):
"""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) # TODO: the marker should depend on selected_options
long_lat = row["latlng"]
maps_url = f"https://maps.google.com/?q={long_lat}"
douar = row[filtered_df.columns[3]]
person_in_place = row[filtered_df.columns[6]]
douar_info = row[filtered_df.columns[9]]
source = row[filtered_df.columns[10]]
# 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>
<b>Source:</b> {source}<br>
<b>Person in place:</b> {person_in_place}<br>
<b>Douar:</b> {douar}<br>
<b>Douar Info:</b> {douar_info}<br>
<a href="{maps_url}" target="_blank" rel="noopener noreferrer"><b>Google Maps</b></a>
"""
icon_name = ICON_MAPPING.get(request_type, "list")
if long_lat is None:
continue
feature_group.add_child(
folium.Marker(
location=long_lat,
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, "beige"), icon=icon_name, prefix="glyphicon"
),
)
)
def show_verified_requests(filtered_verified_df, emergency_fgs):
"""Display verified victim requests on the map"""
global fg
verified_color_mapping = {
"Low": "beige",
"Medium": "orange",
"High": "red",
}
for index, row in filtered_verified_df.iterrows():
long_lat = row["latlng"]
# we display all requests in popup text and use the first one for the icon/color
display_text = ""
for col, val in zip(filtered_verified_df.columns, row):
if col == "Help Details":
request_type = row["Help Details"]
marker_request(request_type) # TODO: the marker should depend on selected_options
display_text += f"<b>Request Type:</b> {request_type}<br>"
elif col == "Location Details":
display_text += f"<b>Location:</b> {val}<br>"
elif col == "Emergency Degree":
display_text += f"<b>Emergency Degree:</b> {val}<br>"
elif col == "Verification Date":
display_text += f"<b>Verification Date:</b> {val}<br>"
elif col == "id":
display_text = f"<b>Id:</b> {val}<br>" + display_text
elif col == "latlng":
maps_url = f"https://maps.google.com/?q={val}"
display_text += (
f'<a href="{maps_url}" target="_blank" rel="noopener noreferrer"><b>Google Maps</b></a><br>'
)
# mark as solved button
id_in_sheet = row["id"] + 2
display_text += f"<a href='https://docs.google.com/forms/d/e/1FAIpQLSdyAcOAULumk4A1DsfrwUsGdZ-9G5xOUuD3vHdQOp3nGNAZXw/viewform?usp=pp_url&entry.1499427789={id_in_sheet}&entry.1666684596={datetime.now().strftime('%Y-%m-%d')}' target='_blank' rel='noopener noreferrer'><b>Mark as solved</b></a><br>"
icon_name = ICON_MAPPING.get(request_type, "list")
emergency = row.get("Emergency Degree", "Low")
if long_lat is None:
continue
location = row["Location Details"]
# Select the correct feature group
fg_emergency_group = emergency_fgs[emergency]
fg_emergency_group.add_child(
folium.Marker(
location=long_lat,
tooltip=location if not pd.isna(location) else None,
popup=folium.Popup(display_text, max_width=300),
icon=folium.Icon(
color=verified_color_mapping.get(emergency, "beige"), icon=icon_name, prefix="glyphicon"
),
)
)