Remove .py extension from commands

src/report

@@ -0,0 +1,129 @@
+#!/usr/bin/env python
+import argparse
+import numpy as np
+from Experiments import Datasets
+from Results import Report, Excel, SQL, ReportBest
+from Utils import Files, TextColor, EnvDefault
+
+
+"""Build report on screen of a result file, optionally generate excel and sql
+file, and can compare results of report with best results obtained by model
+If no argument is set, displays the datasets and its characteristics
+"""
+
+
+def parse_arguments():
+    ap = argparse.ArgumentParser()
+    ap.add_argument(
+        "-f",
+        "--file",
+        type=str,
+        required=False,
+        help="Result file",
+    )
+    ap.add_argument(
+        "-x",
+        "--excel",
+        type=bool,
+        required=False,
+        help="Generate Excel file",
+    )
+    ap.add_argument(
+        "-q",
+        "--sql",
+        type=bool,
+        required=False,
+        help="Generate sql file",
+    )
+    ap.add_argument(
+        "-c",
+        "--compare",
+        type=bool,
+        required=False,
+        help="Compare accuracy with best results",
+    )
+    ap.add_argument(
+        "-b",
+        "--best",
+        type=str,
+        required=False,
+        help="best results of models",
+    )
+    ap.add_argument(
+        "-g",
+        "--grid",
+        type=str,
+        required=False,
+        help="grid results of model",
+    )
+    ap.add_argument(
+        "-m",
+        "--model",
+        action=EnvDefault,
+        envvar="model",
+        type=str,
+        required=True,
+        help="model name",
+    )
+    ap.add_argument(
+        "-s",
+        "--score",
+        action=EnvDefault,
+        envvar="score",
+        type=str,
+        required=True,
+        help="score name {accuracy, f1_macro, ...}",
+    )
+    args = ap.parse_args()
+
+    return (
+        args.file,
+        args.excel,
+        args.sql,
+        args.compare,
+        args.best,
+        args.grid,
+        args.score,
+        args.model,
+    )
+
+
+def default_report():
+    sets = Datasets()
+    color_line = TextColor.LINE1
+    print(color_line, end="")
+    print(f"{'Dataset':30s} Samp. Feat Cls")
+    print("=" * 30 + " ===== ==== ===")
+    for line in sets:
+        X, y = sets.load(line)
+        color_line = (
+            TextColor.LINE2
+            if color_line == TextColor.LINE1
+            else TextColor.LINE1
+        )
+        print(color_line, end="")
+        print(
+            f"{line:30s} {X.shape[0]:5,d} {X.shape[1]:4d} "
+            f"{len(np.unique(y)):3d}"
+        )
+
+
+(file, excel, sql, compare, best, grid, score, model) = parse_arguments()
+if grid:
+    best = False
+if file is None and best is None:
+    default_report()
+else:
+    if best is not None or grid is not None:
+        report = ReportBest(score, model, best, grid)
+        report.report()
+    else:
+        report = Report(file, compare)
+        report.report()
+        if excel:
+            excel = Excel(file, compare)
+            excel.report()
+            Files.open(excel.get_file_name())
+        if sql:
+            sql = SQL(file)
+            sql.report()