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test_stats.rs
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test_stats.rs
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use std::{borrow::ToOwned, cmp, process};
use newline_converter::dos2unix;
use crate::workdir::Workdir;
macro_rules! stats_tests {
($name:ident, $field:expr, $rows:expr, $expect:expr) => {
stats_tests!($name, $field, $rows, $expect, false, true);
};
($name:ident, $field:expr, $rows:expr, $expect:expr, $nulls:expr, $infer_dates:expr) => {
mod $name {
use super::test_stats;
stats_test_headers!($name, $field, $rows, $expect, $nulls, $infer_dates);
stats_test_no_headers!($name, $field, $rows, $expect, $nulls, $infer_dates);
}
};
}
macro_rules! stats_no_infer_dates_tests {
($name:ident, $field:expr, $rows:expr, $expect:expr) => {
stats_tests!($name, $field, $rows, $expect, false, false);
};
($name:ident, $field:expr, $rows:expr, $expect:expr, $nulls:expr, $infer_dates:expr) => {
mod $name {
use super::test_stats;
stats_test_headers!($name, $field, $rows, $expect, $nulls, $infer_dates);
stats_test_no_headers!($name, $field, $rows, $expect, $nulls, $infer_dates);
}
};
}
macro_rules! stats_test_headers {
($name:ident, $field:expr, $rows:expr, $expect:expr) => {
stats_test_headers!($name, $field, $rows, $expect, false, true);
};
($name:ident, $field:expr, $rows:expr, $expect:expr, $nulls:expr, $infer_dates:expr) => {
#[test]
fn headers_no_index() {
let name = concat!(stringify!($name), "_headers_no_index");
test_stats(
name,
$field,
$rows,
$expect,
true,
false,
$nulls,
$infer_dates,
);
}
#[test]
fn headers_index() {
let name = concat!(stringify!($name), "_headers_index");
test_stats(
name,
$field,
$rows,
$expect,
true,
true,
$nulls,
$infer_dates,
);
}
};
}
macro_rules! stats_test_no_headers {
($name:ident, $field:expr, $rows:expr, $expect:expr) => {
stats_test_no_headers!($name, $field, $rows, $expect, false, true);
};
($name:ident, $field:expr, $rows:expr, $expect:expr, $nulls:expr, $infer_dates:expr) => {
#[test]
fn no_headers_no_index() {
let name = concat!(stringify!($name), "_no_headers_no_index");
test_stats(
name,
$field,
$rows,
$expect,
false,
false,
$nulls,
$infer_dates,
);
}
#[test]
fn no_headers_index() {
let name = concat!(stringify!($name), "_no_headers_index");
test_stats(
name,
$field,
$rows,
$expect,
false,
true,
$nulls,
$infer_dates,
);
}
};
}
#[allow(clippy::too_many_arguments)]
fn test_stats<S>(
name: S,
field: &str,
rows: &[&str],
expected: &str,
headers: bool,
use_index: bool,
nulls: bool,
infer_dates: bool,
) where
S: ::std::ops::Deref<Target = str>,
{
let (wrk, mut cmd) = setup(name, rows, headers, use_index, nulls, infer_dates);
let field_val = get_field_value(&wrk, &mut cmd, field);
// Only compare the first few bytes since floating point arithmetic
// can mess with exact comparisons.
// when field = skewness, we're comparing a long sequence of the quartile columns,
// that's why we use 40, if not, its a single column, and we need to compare only
// the first 15 characters just in case its a float
let len = cmp::min(
if field == "skewness" { 40 } else { 15 },
cmp::min(field_val.len(), expected.len()),
);
assert_eq!(&field_val[0..len], &expected[0..len]);
}
fn setup<S>(
name: S,
rows: &[&str],
headers: bool,
use_index: bool,
nulls: bool,
infer_dates: bool,
) -> (Workdir, process::Command)
where
S: ::std::ops::Deref<Target = str>,
{
let wrk = Workdir::new(&name);
let mut data: Vec<Vec<String>> = rows.iter().map(|&s| vec![s.to_owned()]).collect();
if headers {
data.insert(0, svec!["header"]);
}
if use_index {
wrk.create_indexed("in.csv", data);
} else {
wrk.create("in.csv", data);
}
let mut cmd = wrk.command("stats");
cmd.arg("in.csv");
if !headers {
cmd.arg("--no-headers");
}
if nulls {
cmd.arg("--nulls");
}
if infer_dates {
cmd.arg("--infer-dates").arg("--dates-whitelist").arg("all");
}
(wrk, cmd)
}
fn get_field_value(wrk: &Workdir, cmd: &mut process::Command, field: &str) -> String {
if field == "median" {
cmd.arg("--median");
}
if field == "quartiles" {
cmd.arg("--quartiles");
}
if field == "cardinality" {
cmd.arg("--cardinality");
}
if field == "mode" || field == "antimode" {
cmd.arg("--mode");
}
if field == "infer_dates" {
cmd.arg("--infer-dates");
}
let mut rows: Vec<Vec<String>> = wrk.read_stdout(cmd);
let headers = rows.remove(0);
let mut sequence: Vec<&str> = vec![];
for row in &rows {
for (h, val) in headers.iter().zip(row.iter()) {
match field {
"quartiles" => match &**h {
"lower_outer_fence" | "lower_inner_fence" | "q1" | "q2_median" | "q3"
| "iqr" | "upper_inner_fence" | "upper_outer_fence" => {
sequence.push(val);
},
"skewness" => {
sequence.push(val);
return sequence.join(",");
},
_ => {},
},
_ => {
if &**h == field {
return val.clone();
}
},
}
}
}
panic!("BUG: Could not find field '{field}' in headers '{headers:?}' for command '{cmd:?}'.");
}
stats_tests!(stats_infer_string, "type", &["a"], "String");
stats_tests!(stats_infer_int, "type", &["1"], "Integer");
stats_tests!(stats_infer_float, "type", &["1.2"], "Float");
stats_tests!(stats_infer_null, "type", &[""], "NULL");
stats_tests!(stats_infer_date, "type", &["1968-06-27"], "Date");
stats_no_infer_dates_tests!(stats_infer_nodate, "type", &["1968-06-27"], "String");
stats_tests!(
stats_infer_datetime,
"type",
&["1968-06-27 12:30:01"],
"DateTime"
);
stats_no_infer_dates_tests!(
stats_infer_nodatetime,
"type",
&["1968-06-27 12:30:01"],
"String"
);
stats_tests!(stats_infer_string_null, "type", &["a", ""], "String");
stats_tests!(stats_infer_int_null, "type", &["1", ""], "Integer");
stats_tests!(stats_infer_float_null, "type", &["1.2", ""], "Float");
stats_tests!(
stats_infer_date_null,
"type",
&["June 27, 1968", ""],
"Date"
);
stats_no_infer_dates_tests!(
stats_infer_no_infer_dates_null,
"type",
&["June 27, 1968", ""],
"String"
);
stats_tests!(
stats_infer_datetime_null,
"type",
&["June 27, 1968 12:30:00 UTC", ""],
"DateTime"
);
stats_no_infer_dates_tests!(
stats_infer_nodatetime_null,
"type",
&["June 27, 1968 12:30:00 UTC", ""],
"String"
);
stats_tests!(stats_infer_null_string, "type", &["", "a"], "String");
stats_tests!(stats_infer_null_int, "type", &["", "1"], "Integer");
stats_tests!(stats_infer_null_float, "type", &["", "1.2"], "Float");
stats_tests!(
stats_infer_null_date,
"type",
&["", "September 17, 2012 at 10:09am PST"],
"Date"
);
stats_no_infer_dates_tests!(
stats_infer_null_nodate,
"type",
&["", "September 17, 2012 at 10:09am PST"],
"String"
);
stats_tests!(
stats_infer_date_datetime,
"type",
&["September 11, 2001", "September 17, 2012 at 10:09am PST"],
"DateTime"
);
stats_no_infer_dates_tests!(
stats_infer_nodate_nodatetime,
"type",
&["September 11, 2001", "September 17, 2012 at 10:09am PST"],
"String"
);
stats_tests!(stats_infer_int_string, "type", &["1", "a"], "String");
stats_tests!(stats_infer_string_int, "type", &["a", "1"], "String");
stats_tests!(stats_infer_int_float, "type", &["1", "1.2"], "Float");
stats_tests!(stats_infer_float_int, "type", &["1.2", "1"], "Float");
stats_tests!(
stats_infer_null_int_float_string,
"type",
&["", "1", "1.2", "a"],
"String"
);
stats_tests!(
stats_infer_date_string,
"type",
&["1968-06-27", "abcde"],
"String"
);
stats_tests!(
stats_infer_string_date,
"type",
&["wxyz", "1968-06-27"],
"String"
);
stats_tests!(stats_no_mean, "mean", &["a"], "");
stats_tests!(stats_no_stddev, "stddev", &["a"], "");
stats_tests!(stats_no_variance, "variance", &["a"], "");
stats_tests!(stats_no_median, "median", &["a"], "");
stats_tests!(stats_no_quartiles, "quartiles", &["a"], ",,,,,");
stats_tests!(stats_no_mode, "mode", &["a", "b"], "N/A");
stats_tests!(
stats_multiple_modes,
"mode",
&["a", "a", "b", "b", "c", "d", "e", "e"],
"a,b,e,3,1"
);
stats_tests!(
stats_multiple_modes_num,
"mode",
&["5", "5", "33", "33", "42", "17", "99", "99"],
"33,5,99,3,1"
);
stats_tests!(
stats_multiple_antimodes,
"antimode",
&["a", "a", "b", "b", "c", "d", "e", "e"],
"c,d,2,1"
);
stats_tests!(
stats_multiple_antimodes_num,
"antimode",
&["5", "5", "33", "33", "42", "17", "98", "99", "99"],
"17,42,98,3,1"
);
stats_tests!(
stats_range,
"range",
&["a", "a", "b", "b", "c", "d", "e", "e"],
""
);
stats_tests!(
stats_range_num,
"range",
&["5", "5", "33", "33", "42", "17", "98", "99", "99"],
"94"
);
stats_tests!(
stats_sparsity,
"sparsity",
&["5", "5", "33", "33", "42", "17", "98", "99", "99", ""],
"0.1"
);
stats_tests!(stats_null_mean, "mean", &[""], "");
stats_tests!(stats_null_stddev, "stddev", &[""], "");
stats_tests!(stats_null_variance, "variance", &[""], "");
stats_tests!(stats_null_median, "median", &[""], "");
stats_tests!(stats_null_quartiles, "quartiles", &[""], ",,,,,");
stats_tests!(stats_null_mode, "mode", &[""], "N/A");
stats_tests!(stats_null_antimode, "antimode", &[""], "*ALL");
stats_tests!(stats_null_range, "range", &[""], "N/A");
stats_tests!(stats_null_sparsity, "sparsity", &[""], "1.0");
stats_tests!(stats_includenulls_null_mean, "mean", &[""], "", true, false);
stats_tests!(
stats_includenulls_null_stddev,
"stddev",
&[""],
"",
true,
false
);
stats_tests!(
stats_includenulls_null_variance,
"variance",
&[""],
"",
true,
false
);
stats_tests!(
stats_includenulls_null_median,
"median",
&[""],
"",
true,
false
);
stats_tests!(
stats_includenulls_null_quartiles,
"quartiles",
&[""],
",,,,,",
true,
false
);
stats_tests!(
stats_includenulls_null_mode,
"mode",
&[""],
"N/A",
true,
false
);
stats_tests!(
stats_includenulls_null_antimode,
"antimode",
&[""],
"*ALL",
true,
false
);
stats_tests!(
stats_includenulls_null_range,
"range",
&[""],
"N/A",
true,
false
);
stats_tests!(
stats_includenulls_null_sparsity,
"sparsity",
&[""],
"1.0",
true,
false
);
stats_tests!(
stats_includenulls_mean,
"mean",
&["5", "", "15", "10"],
"7.5",
true,
false
);
stats_tests!(stats_sum_integers, "sum", &["1", "2"], "3");
stats_tests!(stats_sum_floats, "sum", &["1.5", "2.8"], "4.3");
stats_tests!(stats_sum_mixed1, "sum", &["1.5", "2"], "3.5");
stats_tests!(stats_sum_mixed2, "sum", &["2", "1.5"], "3.5");
stats_tests!(stats_sum_mixed3, "sum", &["1.5", "hi", "2.8"], "4.3");
stats_tests!(stats_sum_nulls1, "sum", &["1", "", "2"], "3");
stats_tests!(stats_sum_nulls2, "sum", &["", "1", "2"], "3");
stats_tests!(
stats_sum_overflow,
"sum",
&[
{
let i = i64::MAX;
&i.to_string()
},
"1",
"2"
],
"*OVERFLOW*"
);
stats_tests!(
stats_sum_negative_overflow,
"sum",
&[
{
let i = i64::MIN;
&i.to_string()
},
"-1",
"-2"
],
"*UNDERFLOW*"
);
stats_tests!(stats_min, "min", &["2", "1.1"], "1.1");
stats_tests!(stats_max, "max", &["2", "1.1"], "2");
stats_tests!(stats_min_mix, "min", &["2", "a", "1.1"], "1.1");
stats_tests!(stats_max_mix, "max", &["2", "a", "1.1"], "a");
stats_tests!(stats_min_null, "min", &["", "2", "1.1"], "1.1");
stats_tests!(stats_max_null, "max", &["2", "1.1", ""], "2");
stats_tests!(stats_len_min, "min_length", &["aa", "a"], "1");
stats_tests!(stats_len_max, "max_length", &["a", "aa"], "2");
stats_tests!(stats_len_min_null, "min_length", &["", "aa", "a"], "0");
stats_tests!(stats_len_max_null, "max_length", &["a", "aa", ""], "2");
stats_tests!(stats_mean, "mean", &["5", "15", "10"], "10");
stats_tests!(stats_stddev, "stddev", &["1", "2", "3"], "0.8165");
stats_tests!(stats_variance, "variance", &["3", "5", "7", "9", "11"], "8");
stats_tests!(stats_mean_null, "mean", &["", "5", "15", "10"], "10");
stats_tests!(stats_stddev_null, "stddev", &["1", "2", "3", ""], "0.8165");
stats_tests!(
stats_variance_null,
"variance",
&["3", "5", "7", "9", "", "10"],
"6"
);
stats_tests!(stats_mean_mix, "mean", &["5", "15.1", "9.9"], "10");
stats_tests!(stats_stddev_mix, "stddev", &["1", "2.1", "2.9"], "0.7789");
stats_tests!(
stats_variance_mix,
"variance",
&["1.5", "2", "2.5", "3"],
"0.3125"
);
stats_tests!(stats_cardinality, "cardinality", &["a", "b", "a"], "2");
stats_tests!(stats_mode, "mode", &["a", "b", "a"], "a,1,2");
stats_tests!(stats_mode_null, "mode", &["", "a", "b", "a"], "a,1,2");
stats_tests!(stats_antimode, "antimode", &["a", "b", "a"], "b,1,1");
stats_tests!(
stats_antimode_null,
"antimode",
&["", "a", "b", "a"],
"NULL,b,2,1"
);
stats_tests!(stats_median, "median", &["1", "2", "3"], "2");
stats_tests!(stats_median_null, "median", &["", "1", "2", "3"], "2");
stats_tests!(stats_median_even, "median", &["1", "2", "3", "4"], "2.5");
stats_tests!(
stats_median_even_null,
"median",
&["", "1", "2", "3", "4"],
"2.5"
);
stats_tests!(stats_median_mix, "median", &["1", "2.5", "3"], "2.5");
stats_tests!(
stats_quartiles,
"quartiles",
&["1", "2", "3"],
"-5,-2,1,2,3,2,6,9"
);
stats_tests!(
stats_quartiles_null,
"quartiles",
&["", "1", "2", "3"],
"-5,-2,1,2,3,2,6,9"
);
stats_tests!(
stats_quartiles_even,
"quartiles",
&["1", "2", "3", "4"],
"-4.5,-1.5,1.5,2.5,3.5,2,6.5,9.5"
);
stats_tests!(
stats_quartiles_even_null,
"quartiles",
&["", "1", "2", "3", "4"],
"-4.5,-1.5,1.5,2.5,3.5,2,6.5,9.5"
);
stats_tests!(
stats_quartiles_mix,
"quartiles",
&["1", "2.0", "3", "4"],
"-4.5,-1.5,1.5,2.5,3.5,2,6.5,9.5"
);
stats_tests!(stats_quartiles_null_empty, "quartiles", &[""], "");
stats_tests!(stats_nullcount, "nullcount", &["", "1", "2"], "1");
stats_tests!(stats_nullcount_none, "nullcount", &["a", "1", "2"], "0");
stats_tests!(
stats_nullcount_spacenotnull,
"nullcount",
&[" ", "1", "2"],
"0"
);
stats_tests!(stats_nullcount_all, "nullcount", &["", "", ""], "3");
stats_no_infer_dates_tests!(
stats_noinfer_null_nodate2,
"type",
&["", "September 17, 2012 at 10:09am PST"],
"String",
true,
false
);
stats_no_infer_dates_tests!(
stats_infer_null_nodate2,
"type",
&["", "September 17, 2012 at 10:09am PST"],
"DateTime",
true,
true
);
stats_tests!(
stats_infer_date_datetime2,
"type",
&["September 11, 2001", "September 17, 2012 at 10:09am PST"],
"DateTime",
false,
true
);
stats_no_infer_dates_tests!(
stats_infer_date_datetime3,
"type",
&["9-11", "September 17, 2012 at 10:09am PST"],
"String",
false,
true
);
#[test]
fn stats_prefer_dmy() {
let wrk = Workdir::new("stats_prefer_dmy");
let test_file = wrk.load_test_file("boston311-dmy-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--infer-dates")
.arg("--prefer-dmy")
.arg("--dates-whitelist")
.arg("_dT")
.arg(test_file);
let got: Vec<Vec<String>> = wrk.read_stdout(&mut cmd);
wrk.create("in2.csv", got);
// removed variance, stddev, sem & cv columns as its causing flaky CI test for float values
let mut cmd = wrk.command("select");
cmd.arg("!/variance|stddev|sem|cv/").arg("in2.csv");
let got2: String = wrk.stdout(&mut cmd);
let expected2 = wrk.load_test_resource("boston311-100-stats.csv");
assert_eq!(dos2unix(&got2), dos2unix(&expected2).trim_end());
}
#[test]
fn stats_prefer_mdy() {
let wrk = Workdir::new("stats_prefer_mdy");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--infer-dates")
.arg("--dates-whitelist")
.arg("_dt")
.arg(test_file);
let got: Vec<Vec<String>> = wrk.read_stdout(&mut cmd);
wrk.create("in2.csv", got);
// removed variance, stddev, sem & cv columns as its causing flaky CI test for float values
let mut cmd = wrk.command("select");
cmd.arg("!/variance|stddev|sem|cv/").arg("in2.csv");
let got2: String = wrk.stdout(&mut cmd);
let expected2 = wrk.load_test_resource("boston311-100-stats.csv");
assert_eq!(dos2unix(&got2), dos2unix(&expected2).trim_end());
}
#[test]
fn stats_rounding() {
let wrk = Workdir::new("stats_rounding");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--everything")
.args(["--round", "8"])
.arg(test_file);
let got: Vec<Vec<String>> = wrk.read_stdout(&mut cmd);
wrk.create("in2.csv", got);
// removed variance, stddev, sem & cv columns as its causing flaky CI test for float values
let mut cmd = wrk.command("select");
cmd.arg("!/variance|stddev|sem|cv/").arg("in2.csv");
let got2: String = wrk.stdout(&mut cmd);
let expected2 = wrk.load_test_resource("boston311-100-everything-8places-stats.csv");
assert_eq!(dos2unix(&got2), dos2unix(&expected2).trim_end());
}
#[test]
fn stats_no_rounding() {
let wrk = Workdir::new("stats_no_rounding");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--everything")
.args(["--round", "9999"])
.arg(test_file);
let got: Vec<Vec<String>> = wrk.read_stdout(&mut cmd);
wrk.create("in2.csv", got);
let got2: String = wrk.stdout(&mut cmd);
let expected2 = wrk.load_test_resource("boston311-100-everything-norounding-stats.csv");
// this should NOT BE EQUAL as floats are not rounded, and comparing floats is not reliable
assert_ne!(dos2unix(&got2), dos2unix(&expected2).trim_end());
}
#[test]
fn stats_no_date_inference() {
let wrk = Workdir::new("stats_no_date_inference");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--everything").arg(test_file);
let got: Vec<Vec<String>> = wrk.read_stdout(&mut cmd);
wrk.create("in2.csv", got);
// removed variance, stddev, sem & cv columns as its causing flaky CI test for float values
let mut cmd = wrk.command("select");
cmd.arg("!/variance|stddev|sem|cv/").arg("in2.csv");
let got2: String = wrk.stdout(&mut cmd);
let expected2 = wrk.load_test_resource("boston311-100-everything-nodate-stats.csv");
assert_eq!(dos2unix(&got2), dos2unix(&expected2).trim_end());
}
#[test]
fn stats_with_date_inference() {
let wrk = Workdir::new("stats_with_date_inference");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--everything")
.arg(test_file)
.arg("--infer-dates")
.arg("--dates-whitelist")
.arg("all");
let got: Vec<Vec<String>> = wrk.read_stdout(&mut cmd);
wrk.create("in2.csv", got);
// removed variance, stddev, sem & cv columns as its causing flaky CI test for float values
let mut cmd = wrk.command("select");
cmd.arg("!/variance|stddev|sem|cv/").arg("in2.csv");
let got2: String = wrk.stdout(&mut cmd);
let expected2 = wrk.load_test_resource("boston311-100-everything-date-stats.csv");
assert_eq!(dos2unix(&got2), dos2unix(&expected2).trim_end());
}
#[test]
fn stats_with_date_inference_default_whitelist() {
let wrk = Workdir::new("stats_with_date_inference_default_whitelist");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--everything").arg(test_file).arg("--infer-dates");
let got: Vec<Vec<String>> = wrk.read_stdout(&mut cmd);
wrk.create("in2.csv", got);
// removed variance, stddev, sem & cv columns as its causing flaky CI test for float values
let mut cmd = wrk.command("select");
cmd.arg("!/variance|stddev|sem|cv/").arg("in2.csv");
let got2: String = wrk.stdout(&mut cmd);
let expected2 =
wrk.load_test_resource("boston311-100-everything-inferdates-defaultwhitelist-stats.csv");
assert_eq!(dos2unix(&got2), dos2unix(&expected2).trim_end());
}
#[test]
fn stats_with_date_inference_variance_stddev() {
let wrk = Workdir::new("stats_with_date_inference_variance_stddev");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--everything")
.arg(test_file)
.arg("--infer-dates")
.arg("--dates-whitelist")
.arg("aLL");
let got: Vec<Vec<String>> = wrk.read_stdout(&mut cmd);
wrk.create("in2.csv", got);
let got2: String = wrk.stdout(&mut cmd);
let expected2 =
wrk.load_test_resource("boston311-100-everything-date-stats-variance-stddev.csv");
assert_eq!(dos2unix(&got2), dos2unix(&expected2).trim_end());
}
#[test]
fn stats_with_date_type() {
let wrk = Workdir::new("stats_with_date_type");
let test_file = wrk.load_test_file("boston311-100-notime.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--everything")
.arg(test_file)
.arg("--infer-dates")
.arg("--dates-whitelist")
.arg("all");
let got: Vec<Vec<String>> = wrk.read_stdout(&mut cmd);
wrk.create("in2.csv", got);
// removed variance, stddev, sem & cv columns as its causing flaky CI test for float values
let mut cmd = wrk.command("select");
cmd.arg("!/variance|stddev|sem|cv/").arg("in2.csv");
let got2: String = wrk.stdout(&mut cmd);
let expected2 = wrk.load_test_resource("boston311-100-everything-datenotime-stats.csv");
assert_eq!(dos2unix(&got2), dos2unix(&expected2).trim_end());
}
#[test]
fn stats_typesonly() {
let wrk = Workdir::new("stats_typesonly");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--typesonly").arg(test_file);
let got: String = wrk.stdout(&mut cmd);
let expected = wrk.load_test_resource("boston311-100-typesonly-stats.csv");
assert_eq!(dos2unix(&got), dos2unix(&expected).trim_end());
}
#[test]
fn stats_typesonly_with_dates() {
let wrk = Workdir::new("stats_typesonly_with_dates");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--typesonly")
.arg("--infer-dates")
.arg("--dates-whitelist")
.arg("all")
.arg(test_file);
let got: String = wrk.stdout(&mut cmd);
let expected = wrk.load_test_resource("boston311-100-typesonly-withdates-stats.csv");
assert_eq!(dos2unix(&got), dos2unix(&expected).trim_end());
}
#[test]
fn stats_typesonly_cache_threshold_zero() {
use std::path::Path;
let wrk = Workdir::new("stats_typesonly_cache_threshold_zero");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--typesonly")
.arg("--infer-dates")
.arg("--dates-whitelist")
.arg("all")
.args(["--cache-threshold", "0"])
.arg(test_file);
let got: String = wrk.stdout(&mut cmd);
let expected = wrk.load_test_resource("boston311-100-typesonly-withdates-stats.csv");
assert_eq!(dos2unix(&got), dos2unix(&expected).trim_end());
// check that the stats cache files were NOT created
assert!(!Path::new(&wrk.path("boston311-100.stats.csv")).exists());
assert!(!Path::new(&wrk.path("boston311-100.stats.csv.json")).exists());
}
#[test]
fn stats_typesonly_cache() {
use std::path::Path;
let wrk = Workdir::new("stats_typesonly_cache");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--typesonly")
.arg("--infer-dates")
.arg("--dates-whitelist")
.arg("all")
.arg(test_file);
let got: String = wrk.stdout(&mut cmd);
let expected = wrk.load_test_resource("boston311-100-typesonly-withdates-stats.csv");
assert_eq!(dos2unix(&got), dos2unix(&expected).trim_end());
// check that the stats cache files were created
assert!(Path::new(&wrk.path("boston311-100.stats.csv")).exists());
assert!(Path::new(&wrk.path("boston311-100.stats.csv.json")).exists());
}
#[test]
fn stats_cache() {
use std::path::Path;
let wrk = Workdir::new("stats_cache");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--infer-dates")
.arg("--dates-whitelist")
.arg("all")
// set cache threshold to 1 to force cache creation
.args(["--cache-threshold", "1"])
.arg(test_file);
let got: Vec<Vec<String>> = wrk.read_stdout(&mut cmd);
wrk.create("in2.csv", got);
// removed variance, stddev, sem & cv columns as its causing flaky CI test for float values
let mut cmd = wrk.command("select");
cmd.arg("!/variance|stddev|sem|cv/").arg("in2.csv");
let got2: String = wrk.stdout(&mut cmd);
let expected2 = wrk.load_test_resource("boston311-100-stats.csv");
assert_eq!(dos2unix(&got2), dos2unix(&expected2).trim_end());
// check that the stats cache files were created
assert!(Path::new(&wrk.path("boston311-100.stats.csv")).exists());
assert!(Path::new(&wrk.path("boston311-100.stats.csv.json")).exists());
}
#[test]
fn stats_cache_negative_threshold() {
use std::path::Path;
let wrk = Workdir::new("stats_cache_negative_threshold");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--infer-dates")
.arg("--dates-whitelist")
.arg("all")
// set cache threshold to -10240 to set autoindex_size to 10 kb
// and to force cache creation
.args(["-c", "-10240"])
.arg(test_file.clone());
let got: Vec<Vec<String>> = wrk.read_stdout(&mut cmd);
// the index file SHOULD have been created as the input file size > 10 kb
assert!(Path::new(&format!("{test_file}.idx")).exists());
wrk.create("in2.csv", got);
// removed variance, stddev, sem & cv columns as its causing flaky CI test for float values
let mut cmd = wrk.command("select");
cmd.arg("!/variance|stddev|sem|cv/").arg("in2.csv");
let got2: String = wrk.stdout(&mut cmd);
let expected2 = wrk.load_test_resource("boston311-100-stats.csv");
assert_eq!(dos2unix(&got2), dos2unix(&expected2).trim_end());
// check that the stats cache files were created
assert!(Path::new(&wrk.path("boston311-100.stats.csv")).exists());
assert!(Path::new(&wrk.path("boston311-100.stats.csv.json")).exists());
}
#[test]
fn stats_cache_negative_threshold_unmet() {
use std::path::Path;
let wrk = Workdir::new("stats_cache_negative_threshold_unmet");
let test_file = wrk.load_test_file("boston311-100.csv");
let mut cmd = wrk.command("stats");
cmd.arg("--infer-dates")
.arg("--dates-whitelist")
.arg("all")
// set cache threshold to -51200 to set autoindex_size to 50 kb
// and to force cache creation
.args(["--cache-threshold", "-51200"])
.arg(test_file.clone());
let got: Vec<Vec<String>> = wrk.read_stdout(&mut cmd);
// the index file SHOULD NOT have been created as the input file < 50 kb
assert!(!Path::new(&format!("{test_file}.idx")).exists());
wrk.create("in2.csv", got);