xan 0.56.0

The CSV magician
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use std::borrow::ToOwned;
use std::cmp;
use std::process;

use crate::workdir::Workdir;

macro_rules! stats_tests {
    ($name:ident, $field:expr, $rows:expr, $expect:expr) => {
        stats_tests!($name, $field, $rows, $expect, false);
    };
    ($name:ident, $field:expr, $rows:expr, $expect:expr, $nulls:expr) => {
        mod $name {
            use super::test_stats;

            stats_test_headers!($name, $field, $rows, $expect, $nulls);
            stats_test_no_headers!($name, $field, $rows, $expect, $nulls);
        }
    };
}

macro_rules! stats_test_headers {
    ($name:ident, $field:expr, $rows:expr, $expect:expr) => {
        stats_test_headers!($name, $field, $rows, $expect, false);
    };
    ($name:ident, $field:expr, $rows:expr, $expect:expr, $nulls:expr) => {
        #[test]
        fn headers() {
            let name = concat!(stringify!($name), "_headers");
            test_stats(name, $field, $rows, $expect, true, $nulls);
        }
    };
}

macro_rules! stats_test_no_headers {
    ($name:ident, $field:expr, $rows:expr, $expect:expr) => {
        stats_test_no_headers!($name, $field, $rows, $expect, false);
    };
    ($name:ident, $field:expr, $rows:expr, $expect:expr, $nulls:expr) => {
        #[test]
        fn no_headers() {
            let name = concat!(stringify!($name), "_no_headers");
            test_stats(name, $field, $rows, $expect, false, $nulls);
        }
    };
}

fn test_stats<S>(name: S, field: &str, rows: &[&str], expected: &str, headers: bool, nulls: bool)
where
    S: ::std::ops::Deref<Target = str>,
{
    let (wrk, mut cmd) = setup(name, rows, headers, nulls);
    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.
    let len = cmp::min(10, 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, nulls: 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"]);
    }

    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");
    }

    (wrk, cmd)
}

fn get_field_value(wrk: &Workdir, cmd: &mut process::Command, field: &str) -> String {
    if field == "median" {
        cmd.arg("--quartiles");
    }
    if field == "cardinality" {
        cmd.arg("--cardinality");
    }
    if field == "mode" {
        cmd.arg("--cardinality");
    }

    let mut rows: Vec<Vec<String>> = wrk.read_stdout(cmd);
    let headers = rows.remove(0);
    for row in rows.iter() {
        for (h, val) in headers.iter().zip(row.iter()) {
            if &**h == field {
                return val.clone();
            }
        }
    }
    panic!(
        "BUG: Could not find field '{}' in headers '{:?}' \
            for command '{:?}'.",
        field, headers, cmd
    );
}

stats_tests!(stats_infer_unicode, "type", &["a"], "string");
stats_tests!(stats_infer_int, "type", &["1"], "int");
stats_tests!(stats_infer_float, "type", &["1.2"], "float");
stats_tests!(stats_infer_null, "type", &[""], "empty");
stats_tests!(stats_infer_unicode_null, "type", &["a", ""], "string");
stats_tests!(stats_infer_int_null, "type", &["1", ""], "int");
stats_tests!(stats_infer_float_null, "type", &["1.2", ""], "float");
stats_tests!(stats_infer_null_unicode, "type", &["", "a"], "string");
stats_tests!(stats_infer_null_int, "type", &["", "1"], "int");
stats_tests!(stats_infer_null_float, "type", &["", "1.2"], "float");
stats_tests!(stats_infer_int_unicode, "type", &["1", "a"], "string");
stats_tests!(stats_infer_unicode_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_unicode,
    "type",
    &["", "1", "1.2", "a"],
    "string"
);

stats_tests!(stats_no_mean, "mean", &["a"], "");
stats_tests!(stats_no_stddev, "stddev", &["a"], "");
stats_tests!(stats_no_median, "median", &["a"], "");

stats_tests!(stats_null_mean, "mean", &[""], "");
stats_tests!(stats_null_stddev, "stddev", &[""], "");
stats_tests!(stats_null_median, "median", &[""], "");

stats_tests!(stats_includenulls_null_mean, "mean", &[""], "", true);
stats_tests!(stats_includenulls_null_stddev, "stddev", &[""], "", true);
stats_tests!(stats_includenulls_null_median, "median", &[""], "", true);

stats_tests!(
    stats_includenulls_mean,
    "mean",
    &["5", "", "15", "10"],
    "7.5",
    true
);

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_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_lex_last_mix, "lex_last", &["2", "a", "1.1"], "a");
stats_tests!(
    stats_lex_first_mix,
    "lex_first",
    &["2", "a", "1.1", "1"],
    "1"
);
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"],
    "0.816496580927726"
);
stats_tests!(stats_mean_null, "mean", &["", "5", "15", "10"], "10");
stats_tests!(
    stats_stddev_null,
    "stddev",
    &["1", "2", "3", ""],
    "0.816496580927726"
);
stats_tests!(stats_mean_mix, "mean", &["5", "15.1", "9.9"], "10");
stats_tests!(
    stats_stddev_mix,
    "stddev",
    &["1", "2.1", "2.9"],
    "0.7788880963698614"
);

stats_tests!(stats_cardinality, "cardinality", &["a", "b", "a"], "2");
stats_tests!(stats_mode, "mode", &["a", "b", "a"], "a");
stats_tests!(stats_mode_null, "mode", &["", "a", "b", "a"], "a");
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");

mod stats_infer_nothing {
    // Only test CSV data with headers.
    // Empty CSV data with no headers won't produce any statistical analysis.
    use super::test_stats;
    stats_test_headers!(stats_infer_nothing, "type", &[], "NULL");
}

mod stats_zero_cardinality {
    use super::test_stats;
    stats_test_headers!(stats_zero_cardinality, "cardinality", &[], "0");
}

mod stats_zero_mode {
    use super::test_stats;
    stats_test_headers!(stats_zero_mode, "mode", &[], "N/A");
}

mod stats_zero_mean {
    use super::test_stats;
    stats_test_headers!(stats_zero_mean, "mean", &[], "");
}

mod stats_zero_median {
    use super::test_stats;
    stats_test_headers!(stats_zero_median, "median", &[], "");
}

mod stats_header_fields {
    use super::test_stats;
    stats_test_headers!(stats_header_field_name, "field", &["a"], "header");
    stats_test_no_headers!(stats_header_no_field_name, "field", &["a"], "0");
}