def now(config=None):
# Import cases
df = get_states_cases.now(config, "br")
df["last_updated"] = pd.to_datetime(df["last_updated"])
return get_rt(df, "state_num_id", config)
def now(config):
"""Data & states' indicators for FarolCovid app, keeping past records."""
# adapted from endpoints.get_states_farolcovid_main.now()
# NOTE: this version do not include health resources and capacity data,
# as these indicators come from a source that do not track historical data
df = pd.DataFrame()
# get full record of case counts for brazilian states
cases_latest = get_states_cases.now(config)
cases_latest["last_updated"] = pd.to_datetime(cases_latest["last_updated"])
# population by state (fixed)
population_df = _get_population_by_state(config)
# iterate over each date since the first case (Feb. 25th, 2020)
for date in _daterange(pd.Timestamp(2020, 2, 25), pd.Timestamp.today()):
cases_until_then = (
cases_latest.loc[cases_latest["last_updated"] <= date, :])
df_partial = get_situation_indicators(
population_df,
data=cases_until_then,
place_id="state_num_id",
rules=config["br"]["farolcovid"]["rules"],
classify="situation_classification",
)
try:
df_partial = get_control_indicators(
df_partial,
data=get_rt(cases_until_then, "state_num_id", config),
place_id="state_num_id",
rules=config["br"]["farolcovid"]["rules"],
classify="control_classification",
)
except ValueError:
# raised when at least one of the states have no record in the last
# ten days (specially in the beginning of the epidemics)
pass
df_partial = get_trust_indicators(
df_partial,
data=cases_until_then,
place_id="state_num_id",
rules=config["br"]["farolcovid"]["rules"],
classify="trust_classification",
)
# alert classification
cols = [col for col in df_partial.columns if "classification" in col]
df_partial["overall_alert"] = df_partial.apply(
lambda row: get_overall_alert(row[cols]), axis=1)
# add to historical data
df = pd.concat([df, df_partial], ignore_index=True)
return df_partial
def now(config=None):
# Import cases
df = get_health_region_cases.now(config, "br")
df["last_updated"] = pd.to_datetime(df["last_updated"])
return get_rt(df, "health_region_id", config)
def now(config=None):
# TODO: mudar para get_[cities/region/states]_cases quando tiver as tabelas
return get_cities_rt.get_rt(get_states_cases.now(),
place_id="state_num_id")
def now(config=None):
return get_cities_rt.get_rt(get_health_region_cases.now(),
place_id="health_region_id")