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# Single source of truth for per-endpoint example calls. Each row's `call` is
# a thunk taking `fetch_args`, so the same table drives:
# - request-URL snapshot tests (test-endpoint-urls.R, dry_run, no network)
# - live fetch + parse checks (test-live.R, real requests)
# Rows with `live = FALSE` are URL-snapshot only (the cast API already has
# dedicated live coverage in test-live.R's cast_queries loop).
#
# To cover a new endpoint, add a row here: it gets URL and live coverage.
endpoint_calls <- function(auth = "test-auth-key") {
row <- function(name, call, live = TRUE) {
list(name = name, call = call, live = live)
}
list(
row("pvt_cdc", function(fa) {
pvt_cdc(
auth = auth,
locations = "fl,ca",
epiweeks = epirange(201501, 201601),
fetch_args = fa
)
}),
row("pvt_cdc wildcard", function(fa) {
pvt_cdc(auth = auth, locations = "fl,ca", epiweeks = "*", fetch_args = fa)
}),
row("pub_covid_hosp_facility_lookup", function(fa) {
pub_covid_hosp_facility_lookup(state = "fl", fetch_args = fa)
}),
row("pub_covid_hosp_facility", function(fa) {
pub_covid_hosp_facility(
hospital_pks = "100075",
collection_weeks = epirange(20200101, 20200501),
fetch_args = fa
)
}),
row("pub_covid_hosp_facility wildcard", function(fa) {
pub_covid_hosp_facility(
hospital_pks = "100075",
collection_weeks = "*",
fetch_args = fa
)
}),
row("pub_covid_hosp_state_timeseries", function(fa) {
pub_covid_hosp_state_timeseries(
states = "fl",
dates = epirange(20200101, 20200501),
fetch_args = fa
)
}),
row("pub_covid_hosp_state_timeseries wildcard", function(fa) {
pub_covid_hosp_state_timeseries(
states = "fl",
dates = "*",
fetch_args = fa
)
}),
row("pub_covidcast_meta", function(fa) {
pub_covidcast_meta(fetch_args = fa)
}),
row("pub_covidcast", function(fa) {
pub_covidcast(
source = "jhu-csse",
signals = "confirmed_7dav_incidence_prop",
geo_type = "state",
time_type = "day",
geo_values = c("ca", "fl"),
time_values = epirange(20200601, 20200801),
fetch_args = fa
)
}),
row("pub_covidcast wildcard", function(fa) {
pub_covidcast(
source = "jhu-csse",
signals = "confirmed_7dav_incidence_prop",
geo_type = "state",
time_type = "day",
geo_values = "ca,fl",
time_values = "*",
fetch_args = fa
)
}),
row("pub_delphi", function(fa) {
pub_delphi(system = "ec", epiweek = 201501, fetch_args = fa)
}),
row("pub_dengue_nowcast", function(fa) {
pub_dengue_nowcast(
locations = "pr",
epiweeks = epirange(201401, 202301),
fetch_args = fa
)
}),
row("pub_dengue_nowcast wildcard", function(fa) {
pub_dengue_nowcast(locations = "ca", epiweeks = "*", fetch_args = fa)
}),
row("pvt_dengue_sensors", function(fa) {
pvt_dengue_sensors(
auth = auth,
names = "ght",
locations = "ag",
epiweeks = epirange(201501, 202001),
fetch_args = fa
)
}),
row("pvt_dengue_sensors wildcard", function(fa) {
pvt_dengue_sensors(
auth = auth,
names = "ght",
locations = "ag",
epiweeks = "*",
fetch_args = fa
)
}),
row("pub_ecdc_ili", function(fa) {
pub_ecdc_ili(
regions = "austria",
epiweeks = epirange(201901, 202001),
fetch_args = fa
)
}),
row("pub_ecdc_ili wildcard", function(fa) {
pub_ecdc_ili(regions = "austria", epiweeks = "*", fetch_args = fa)
}),
row("pub_flusurv", function(fa) {
pub_flusurv(
locations = "ca",
epiweeks = epirange(201701, 201801),
fetch_args = fa
)
}),
row("pub_flusurv wildcard", function(fa) {
pub_flusurv(locations = "CA", epiweeks = "*", fetch_args = fa)
}),
row("pub_fluview_clinical", function(fa) {
pub_fluview_clinical(
regions = "nat",
epiweeks = epirange(201601, 201701),
fetch_args = fa
)
}),
row("pub_fluview_clinical wildcard", function(fa) {
pub_fluview_clinical(regions = "nat", epiweeks = "*", fetch_args = fa)
}),
row("pub_fluview_meta", function(fa) {
pub_fluview_meta(fetch_args = fa)
}),
row("pub_fluview", function(fa) {
pub_fluview(
regions = "nat",
epiweeks = epirange(201201, 202005),
fetch_args = fa
)
}),
row("pub_fluview wildcard", function(fa) {
pub_fluview(regions = "nat", epiweeks = "*", fetch_args = fa)
}),
row("pub_gft", function(fa) {
pub_gft(
locations = "hhs1",
epiweeks = epirange(201201, 202001),
fetch_args = fa
)
}),
row("pub_gft wildcard", function(fa) {
pub_gft(locations = "hhs1", epiweeks = "*", fetch_args = fa)
}),
row("pvt_ght", function(fa) {
pvt_ght(
auth = auth,
locations = "ma",
epiweeks = epirange(199301, 202304),
query = "how to get over the flu",
fetch_args = fa
)
}),
row("pvt_ght wildcard", function(fa) {
pvt_ght(
auth = auth,
locations = "ca",
epiweeks = "*",
query = "how to get over the flu",
fetch_args = fa
)
}),
row("pub_kcdc_ili", function(fa) {
pub_kcdc_ili(regions = "ROK", epiweeks = 200436, fetch_args = fa)
}),
row("pub_kcdc_ili wildcard", function(fa) {
pub_kcdc_ili(regions = "ROK", epiweeks = "*", fetch_args = fa)
}),
row("pvt_meta_norostat", function(fa) {
pvt_meta_norostat(auth = auth, fetch_args = fa)
}),
row("pub_meta", function(fa) {
pub_meta(fetch_args = fa)
}),
row("pub_nidss_dengue", function(fa) {
pub_nidss_dengue(
locations = "taipei",
epiweeks = epirange(201201, 201301),
fetch_args = fa
)
}),
row("pub_nidss_dengue wildcard", function(fa) {
pub_nidss_dengue(locations = "taipei", epiweeks = "*", fetch_args = fa)
}),
row("pub_nidss_flu", function(fa) {
pub_nidss_flu(
regions = "taipei",
epiweeks = epirange(201501, 201601),
fetch_args = fa
)
}),
row("pub_nidss_flu wildcard", function(fa) {
pub_nidss_flu(regions = "taipei", epiweeks = "*", fetch_args = fa)
}),
row("pvt_norostat", function(fa) {
pvt_norostat(
auth = auth,
locations = "Minnesota, Ohio, Oregon, Tennessee, and Wisconsin",
epiweeks = 201233,
fetch_args = fa
)
}),
row("pvt_norostat wildcard", function(fa) {
pvt_norostat(
auth = auth,
locations = "Minnesota, Ohio, Oregon, Tennessee, and Wisconsin",
epiweeks = "*",
fetch_args = fa
)
}),
row("pub_nowcast", function(fa) {
pub_nowcast(
locations = "ca",
epiweeks = epirange(201201, 201301),
fetch_args = fa
)
}),
row("pub_nowcast wildcard", function(fa) {
pub_nowcast(locations = "ca", epiweeks = "*", fetch_args = fa)
}),
row("pub_paho_dengue", function(fa) {
pub_paho_dengue(
regions = "ca",
epiweeks = epirange(201401, 201501),
fetch_args = fa
)
}),
row("pub_paho_dengue wildcard", function(fa) {
pub_paho_dengue(regions = "ca", epiweeks = "*", fetch_args = fa)
}),
row("pvt_quidel", function(fa) {
pvt_quidel(
auth = auth,
epiweeks = epirange(201201, 202001),
locations = "hhs1",
fetch_args = fa
)
}),
row("pvt_quidel wildcard", function(fa) {
pvt_quidel(
auth = auth,
epiweeks = "*",
locations = "hhs1",
fetch_args = fa
)
}),
row("pvt_sensors", function(fa) {
pvt_sensors(
auth = auth,
names = "sar3",
locations = "nat",
epiweeks = epirange(201501, 202001),
fetch_args = fa
)
}),
row("pvt_sensors wildcard", function(fa) {
pvt_sensors(
auth = auth,
names = "sar3",
locations = "nat",
epiweeks = "*",
fetch_args = fa
)
}),
row("pvt_twitter week", function(fa) {
pvt_twitter(
auth = auth,
locations = "CA",
time_type = "week",
time_values = epirange(201501, 202001),
fetch_args = fa
)
}),
row("pvt_twitter week wildcard", function(fa) {
pvt_twitter(
auth = auth,
locations = "CA",
time_type = "week",
time_values = "*",
fetch_args = fa
)
}),
row("pvt_twitter day", function(fa) {
pvt_twitter(
auth = auth,
locations = "CA",
time_type = "day",
time_values = epirange(20150101, 20200101),
fetch_args = fa
)
}),
row("pvt_twitter day wildcard", function(fa) {
pvt_twitter(
auth = auth,
locations = "CA",
time_type = "day",
time_values = "*",
fetch_args = fa
)
}),
row("pub_wiki week", function(fa) {
pub_wiki(
articles = "avian_influenza",
time_type = "week",
time_values = epirange(201501, 201601),
fetch_args = fa
)
}),
row("pub_wiki week wildcard", function(fa) {
pub_wiki(
articles = "avian_influenza",
time_type = "week",
time_values = "*",
fetch_args = fa
)
}),
row("pub_wiki day", function(fa) {
pub_wiki(
articles = "avian_influenza",
time_type = "day",
time_values = epirange(20150101, 20200101),
fetch_args = fa
)
}),
row("pub_wiki day wildcard", function(fa) {
pub_wiki(
articles = "avian_influenza",
time_type = "day",
time_values = "*",
fetch_args = fa
)
}),
row(
"epidata_snapshot",
function(fa) {
epidata_snapshot(
source = "nssp",
signals = "pct_ed_visits_influenza",
geo_type = "state",
geo_values = "pa",
snapshot_date = "2025-01-01",
fetch_args = fa
)
},
live = FALSE
),
row(
"epidata_archive",
function(fa) {
epidata_archive(
source = "nssp",
signals = "pct_ed_visits_influenza",
geo_type = "state",
geo_values = "pa",
report_time = "<2025-06-01",
fetch_args = fa
)
},
live = FALSE
),
row(
"epidata_aux",
function(fa) {
epidata_aux(
"nwss",
report_time = "<2025-06-01",
pcr_target = "sars-cov-2",
columns = c("geo_value", "population_served"),
fetch_args = fa
)
},
live = FALSE
),
row(
"epidata dispatcher",
function(fa) {
epidata(
source = "nssp",
signals = "pct_ed_visits_influenza",
geo_type = "state",
geo_values = "pa",
report_time = "*",
fetch_args = fa
)
},
live = FALSE
)
)
}
# The R class each EpidataFieldInfo type should parse to.
meta_type_classes <- c(
date = "Date",
epiweek = "Date",
timestamp = "POSIXct",
datetimetz = "POSIXct",
int = "numeric",
float = "numeric",
bool = "logical",
categorical = "factor",
text = "character"
)
# Assert that a fetched data frame's columns have the classes promised by the
# endpoint's field metadata (from a dry_run call).
expect_meta_classes <- function(result, meta) {
for (info in meta) {
if (!info$name %in% names(result)) {
next
}
expected <- meta_type_classes[[info$type]]
testthat::expect_true(
inherits(result[[info$name]], expected),
label = sprintf(
"column `%s` has class %s (expected %s for type '%s')",
info$name,
paste(class(result[[info$name]]), collapse = "/"),
expected,
info$type
)
)
}
}
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