def tested(context):
data = c19api.metadata("tested")
total = data.get("total")
last_data = file_open("tested")
tested_diff = total - int(last_data)
if tested_diff > 0:
messagetext = get_messagetext("tested", tested_diff)
ret_str = f"🔬 <b>{tested_diff:,}</b> {messagetext}"
if datetime.now().hour in range(0, 2):
newYesterday = data.get("newYesterday")
ret_str += (
f"\nTotalt: <b>{total:,}</b> (Nye siste døgn: <b>{newYesterday:,}</b>)"
)
else:
newToday = data.get("newToday")
ret_str += f"\nTotalt: <b>{total:,}</b> (Nye i dag: <b>{newToday:,}</b>)"
file_write("tested", total)
ret_str = ret_str.replace(",", " ")
print(ret_str, "\n")
context.bot.send_message(chat_id=bot["autopost"]["chatid"],
text=ret_str,
parse_mode=ParseMode.HTML)
else:
return None
def check_files_exist():
filenames = ["tested", "confirmed", "dead", "admissions", "respiratory"]
for filename in filenames:
if os.path.isfile(f"./data/{filename}.txt"):
pass
else:
print(
f"datafile for {filename} missing. Creating file with latest data."
)
currentData = c19api.metadata(filename, "total")
file_write(filename, currentData)
def stats(update, context):
today = date.today().strftime("%d.%m.%Y")
# metadata
population = 5391369
tested = c19api.metadata("tested")
confirmed = c19api.metadata("confirmed")
dead = c19api.metadata("dead")
admissions = c19api.metadata("admissions")
respiratory = c19api.metadata("respiratory")
vaccine_doses = c19api.timeseries("vaccine_doses")
# totals
tested_total = tested.get("total")
confirmed_total = confirmed.get("total")
dead_total = dead.get("total")
admissions_total = admissions.get("total")
respiratory_total = respiratory.get("total")
# newToday
tested_newToday = tested.get("newToday", 0)
confirmed_newToday = confirmed.get("newToday", 0)
dead_newToday = dead.get("newToday", 0)
# newSince
confirmed_newSince_d7 = confirmed.get("newSince_d7", 0)
confirmed_newSince_d14 = confirmed.get("newSince_d14", 0)
# percentages
dead_pct = round(dead_total / confirmed_total * 100, 1)
respiratory_pct = round(respiratory_total / admissions_total * 100, 1)
# vaccine data
vaccine_data = list(
filter(lambda x: x["granularity_geo"] == "nation", vaccine_doses)
)[-1]
vacc_total_dose_1 = vaccine_data.get("total_dose_1")
vacc_total_dose_2 = vaccine_data.get("total_dose_2")
vacc_total_dose_1_pct = vacc_total_dose_1 / population
vacc_total_dose_2_pct = vacc_total_dose_2 / population
ret_str = f"🔢 <b>Nøkkeltall - {today}</b>"
ret_str += f"\n\n🦠 Smittetilfeller i dag: <b>{confirmed_newToday:,}</b>"
ret_str += f"\nSiste 7d: <b>{confirmed_newSince_d7:,}</b>"
ret_str += f"\nSiste 14d: <b>{confirmed_newSince_d14:,}</b>"
ret_str += f"\nTotalt: <b>{confirmed_total:,}</b>"
ret_str += f"\n\n❗ Dødsfall i dag: <b>{dead_newToday:,}</b>"
ret_str += f"\nTotalt: <b>{dead_total:,}</b> ({dead_pct}% av smittede)"
ret_str += f"\n\n🔬 Testede i dag: <b>{tested_newToday:,}</b>"
ret_str += f"\nTotalt: <b>{tested_total:,}</b>"
ret_str += f"\n\n🏥 Innlagt på sykehus: <b>{admissions_total:,}</b>"
ret_str += f"\n😷 Tilkoblet respirator: <b>{respiratory_total:,}</b> ({respiratory_pct}% av innlagte)"
ret_str += "\n\n💉 Andel av befolkningen vaksinert"
ret_str += f"\n<b>{vacc_total_dose_1_pct:,.02%}</b> har fått minst én dose (<b>{vacc_total_dose_1:,}</b> personer)"
ret_str += f"\n<b>{vacc_total_dose_2_pct:,.02%}</b> er fullvaksinert (<b>{vacc_total_dose_2:,}</b> personer)"
ret_str = ret_str.replace(",", " ")
context.bot.send_message(
chat_id=update.message.chat_id, text=ret_str, parse_mode=ParseMode.HTML
)