# templates.py

LOCATIONS = [
    "Marikina", "Quezon City", "Manila", "Pasig", "Cainta", "Antipolo", 
    "Batangas", "Tagaytay", "Davao", "Cebu", "Bicol", "Albay", 
    "Pampanga", "Bulacan", "Laguna", "Cavite", "Tacloban", "Iligan",
    "Navotas", "Malabon", "San Mateo", "Rizal", "Valenzuela", "Muntinlupa",
    "Las Pinas", "Makati", "Mandaluyong", "San Juan", "Catanduanes",
    "Isabela", "Cagayan", "Iloilo", "Samar", "Leyte", "Mindoro",
    "General Trias", "Dasmarinas", "Bacoor", "Imus", "Tondo"
]

DISASTERS = [
    "baha", "flood", "flooding", "flash flood", "taas ng tubig",
    "lindol", "earthquake", "quake", "aftershock", "yanig", "uga",
    "bagyo", "typhoon", "storm", "winds", "malakas na hangin",
    "sunog", "fire", "nasusunog", "apoy", "fire alert",
    "landslide", "guho", "mudslide", "falling rocks",
    "volcano", "ashfall", "eruption", "asupre", "smog"
]

NEEDS = [
    "rescue", "tulong", "help", "saklolo", "assist", "save us",
    "food", "pagkain", "water", "tubig", "relief goods", "makakain",
    "medical", "gamot", "medic", "doctor", "ambulance", "oxygen", "first aid",
    "shelter", "evacuation", "matutuluyan", "tents", "bubong", "trapal",
    "boat", "bangka", "firetruck", "bumbero", "rescuers"
]

# POSITIVE FRAGMENTS
POS_INTROS = ["EMERGENCY!", "HELP!", "S.O.S.", "URGENT:", "Please help,", "Tulong po,", "Saklolo,", "Rescue needed!"]
POS_SITUATIONS = ["trapped kami sa loob", "stuck sa bubong", "water is rising fast", "nasusunog ang bahay", "injured ang kasama ko", "stranded kami", "collapsed ang pader", "lubog na ang first floor"]
POS_REQUESTS = ["we need {need} immediately", "send {need} ASAP", "paki-dala ng {need}", "kailangan namin ng {need}", "need {need} now!"]

# NEGATIVE FRAGMENTS
NEG_NEWS_INTROS = ["BREAKING:", "Just in:", "News Update:", "Report:", "FYI:", "Advisory:", "Headlines:", "According to news,"]
NEG_NEWS_BODIES = ["{disaster} hits {loc}", "death toll in {loc} rises", "classes suspended in {loc}", "state of calamity declared in {loc}"]

NEG_ACT_INTROS = ["I want to donate", "Looking for volunteers", "Donation drive for", "Salute to", "Praying for", "Condolence to"]
NEG_ACT_BODIES = ["victims of {disaster} in {loc}", "our heroes in {loc}", "the brave rescuers in {loc}", "{disaster} survivors in {loc}"]

NEG_DISCUSS_INTROS = ["Why is the mayor", "The corruption in", "Remembering the", "Throwback to", "Discussion:", "Opinion:", "Is it safe in"]
NEG_DISCUSS_BODIES = ["response to {disaster} in {loc} is slow", "1990 {disaster} in {loc}", "{loc} politicians are useless", "road to {loc} is passable"]