apply: add gender_guess operation

Cargo.toml

@@ -106,6 +106,7 @@ flexi_logger = { version = "0.27", features = [
 ], default-features = false }
 futures = "0.3"
 futures-util = "0.3"
+gender_guesser = { version = "0.2", optional = true }
 geosuggest-core = { version = "0.6", optional = true }
 geosuggest-utils = { version = "0.6", optional = true }
 governor = { version = "0.6", optional = true }
@@ -235,6 +236,7 @@ serial_test = { version = "3.0", features = ["file_locks"] }
 dynfmt    = { git = "https://github.com/jqnatividad/dynfmt", branch = "2021-clippy_ptr_as_ptr-bumpdeps" }
 grex      = { git = "https://github.com/pemistahl/grex", rev = "8f6b35cee5f911311c2e0ef6e56f333e4c896112" }
 halfbrown = { git = "https://github.com/licenser/halfbrown", rev = "7cecc29422ae2775abe35a2e430f1678b4f1aa76" }
+gender_guesser = { git = "https://github.com/jqnatividad/gender_guesser", branch = "bundle_namdict_txt"}
 
 [features]
 default = ["mimalloc"]
@@ -256,6 +258,7 @@ apply = [
     "cpc",
     "data-encoding",
     "eudex",
+    "gender_guesser",
     "hashbrown",
     "qsv_currency",
     "strsim",

src/cmd/apply.rs

@@ -3,7 +3,7 @@ Apply a series of transformation functions to given CSV column/s. This can be us
 perform typical data-wrangling tasks and/or to harmonize some values, etc.
 
 It has five subcommands:
- 1. operations*   - 36 string, format, currency, regex & NLP operators.
+ 1. operations*   - 37 string, format, currency, regex & NLP operators.
  2. emptyreplace* - replace empty cells with <--replacement> string.
  3. datefmt*      - Formats recognized date/s (19 formats recognized) to
                     a specified date format using <--formatstr>.
@@ -73,6 +73,7 @@ It has 36 supported operations:
       with --comparand. Automatically rounds values to two decimal places. Specify
       "euro" formatting (e.g. 1.000,00 instead of 1,000.00 ) by setting --formatstr to "euro".
       Specify conversion rate by setting --replacement to a number.
+  * gender_guess: Guess the gender of a name.
   * copy: Mark a column for copying
   * simdl: Damerau-Levenshtein similarity to --comparand
   * simdln: Normalized Damerau-Levenshtein similarity to --comparand (between 0.0 & 1.0)
@@ -358,6 +359,7 @@ use cpc::{eval, units::Unit};
 use data_encoding::BASE64;
 use dynfmt::Format;
 use eudex::Hash;
+use gender_guesser::Gender;
 use indicatif::{ProgressBar, ProgressDrawTarget};
 use log::debug;
 use qsv_currency::Currency;
@@ -402,6 +404,7 @@ enum Operations {
     Encode,
     Escape,
     Eudex,
+    Gender_Guess,
     Len,
     Lower,
     Ltrim,
@@ -999,6 +1002,13 @@ fn validate_operations(
                 }
                 whatlang_invokes = whatlang_invokes.saturating_add(1);
             },
+            Operations::Gender_Guess => {
+                if flag_new_column.is_none() {
+                    return fail_incorrectusage_clierror!(
+                        "--new_column (-c) is required for Gender_Guess"
+                    );
+                }
+            },
             _ => {},
         }
         ops_vec.push(operation);
@@ -1083,6 +1093,18 @@ fn apply_operations(
                     Err(e) => format!("decoding error: {e:?}"),
                 };
             },
+            Operations::Gender_Guess => {
+                let gender_detector = gender_guesser::Detector::new();
+                *cell = match gender_detector.get_gender(cell) {
+                    Gender::Male => "Male".to_string(),
+                    Gender::Female => "Female".to_string(),
+                    Gender::MayBeMale => "MayBeMale".to_string(),
+                    Gender::MayBeFemale => "MayBeFemale".to_string(),
+                    Gender::BothMaleFemale => "BothMaleFemale".to_string(),
+                    Gender::NotSure => "NotSure".to_string(),
+                    Gender::NotFound => "NotFound".to_string(),
+                };
+            },
             Operations::Escape => {
                 *cell = cell.escape_default().to_string();
             },

tests/test_apply.rs

@@ -47,6 +47,61 @@ fn apply_ops_upper() {
     assert_eq!(got, expected);
 }
 
+#[test]
+fn apply_ops_gender_guess() {
+    let wrk = Workdir::new("apply");
+    wrk.create(
+        "data.csv",
+        vec![
+            svec!["name"],
+            svec!["Peter"],
+            svec!["Michael"],
+            svec!["Joel"],
+            svec!["Hussein"],
+            svec!["Ian"],
+            svec!["Enrique"],
+            svec!["Ana"],
+            svec!["Olivia"],
+            svec!["Mackenzie"],
+            svec!["Adair"],
+            svec!["Aaf"],
+            svec!["Voldemort"],
+            svec!["Sami"],
+            svec!["Minhaj"],
+            svec!["Abdurrahman"],
+            svec!["Abbe"],
+        ],
+    );
+    let mut cmd = wrk.command("apply");
+    cmd.arg("operations")
+        .arg("gender_guess")
+        .arg("name")
+        .args(["--new-column", "Gender"])
+        .arg("data.csv");
+
+    let got: Vec<Vec<String>> = wrk.read_stdout(&mut cmd);
+    let expected = vec![
+        svec!["name", "Gender"],
+        svec!["Peter", "Male"],
+        svec!["Michael", "Male"],
+        svec!["Joel", "Male"],
+        svec!["Hussein", "Male"],
+        svec!["Ian", "Male"],
+        svec!["Enrique", "Male"],
+        svec!["Ana", "Female"],
+        svec!["Olivia", "Female"],
+        svec!["Mackenzie", "NotSure"],
+        svec!["Adair", "MayBeMale"],
+        svec!["Aaf", "MayBeFemale"],
+        svec!["Voldemort", "NotFound"],
+        svec!["Sami", "Male"],
+        svec!["Minhaj", "NotFound"],
+        svec!["Abdurrahman", "Male"],
+        svec!["Abbe", "NotSure"],
+    ];
+    assert_eq!(got, expected);
+}
+
 #[test]
 fn apply_ops_escape() {
     let wrk = Workdir::new("apply");