mirror of
https://github.com/Doctorado-ML/benchmark.git
synced 2025-08-15 23:45:54 +00:00
Add tests to excel in report datasets
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@@ -580,7 +580,7 @@ class ReportDatasets:
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color2 = "#FDE9D9"
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color3 = "#B1A0C7"
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def __init__(self, excel, book=None):
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def __init__(self, excel=False, book=None):
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self.excel = excel
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self.env = EnvData().load()
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self.close = False
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@@ -589,7 +589,7 @@ class ReportDatasets:
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if excel:
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self.max_length = 0
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if book is None:
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self.excel_file_name = "ReportDatasets.xlsx"
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self.excel_file_name = Files.datasets_report_excel
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self.book = xlsxwriter.Workbook(
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self.excel_file_name, {"nan_inf_to_errors": True}
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)
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@@ -728,6 +728,7 @@ class ReportDatasets:
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self.sheet.write(
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4, 4, f"{self.env['seeds']}", merge_format_subheader_left
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)
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self.update_max_length(len(self.env["seeds"]) + 1)
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header_cols = [
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("Dataset", 30),
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("Samples", 10),
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@@ -775,10 +776,13 @@ class ReportDatasets:
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self.sheet.write(self.row, col + 2, result.features, integer)
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self.sheet.write(self.row, col + 3, result.classes, normal)
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self.sheet.write(self.row, col + 4, result.balance, normal)
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if len(result.balance) > self.max_length:
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self.max_length = len(result.balance)
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self.update_max_length(len(result.balance))
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self.row += 1
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def update_max_length(self, value):
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if value > self.max_length:
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self.max_length = value
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def report(self):
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data_sets = Datasets()
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color_line = TextColor.LINE1
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@@ -789,7 +793,7 @@ class ReportDatasets:
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print(self.header_text)
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print("")
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print(f"{'Dataset':30s} Sampl. Feat. Cls Balance")
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print("=" * 30 + " ===== ====== === " + "=" * 60)
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print("=" * 30 + " ====== ===== === " + "=" * 60)
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for dataset in data_sets:
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attributes = data_sets.get_attributes(dataset)
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attributes.dataset = dataset
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@@ -1255,8 +1259,7 @@ class Benchmark:
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sheet.merge_range(row, 0, row + 1, 0, "Model", merge_format)
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sheet.merge_range(row, 1, row + 1, 5, "File", merge_format)
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sheet.merge_range(row, 6, row + 1, 6, "Score", merge_format)
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sheet.freeze_panes(6, 1)
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sheet.hide_gridlines(2)
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row += 1
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d_name = next(iter(self._datasets))
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for model in self._models:
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file_name = self._report[model][d_name]["file_name"]
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@@ -1280,7 +1283,10 @@ class Benchmark:
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)
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k = Excel(file_name=file_name, book=book)
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k.report()
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sheet.freeze_panes(6, 1)
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sheet.hide_gridlines(2)
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def add_datasets_sheet():
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# Add datasets sheet
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re = ReportDatasets(excel=True, book=book)
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re.report()
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@@ -1311,6 +1317,7 @@ class Benchmark:
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footer()
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models_files()
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exreport_output()
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add_datasets_sheet()
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book.close()
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@@ -27,6 +27,7 @@ class Files:
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exreport_pdf = "Rplots.pdf"
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benchmark_r = "benchmark.r"
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dot_env = ".env"
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datasets_report_excel = "ReportDatasets.xlsx"
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@staticmethod
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def exreport_output(score):
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@@ -6,3 +6,4 @@ stratified=0
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# Source of data Tanveer/Surcov
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source_data=Tanveer
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seeds=[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]
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discretize=0
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1
benchmark/tests/.gitignore
vendored
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1
benchmark/tests/.gitignore
vendored
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@@ -0,0 +1 @@
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ReportDatasets.xlsx
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@@ -89,6 +89,15 @@ class BenchmarkTest(TestBase):
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self.assertTrue(os.path.exists(benchmark.get_tex_file()))
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self.check_file_file(benchmark.get_tex_file(), "exreport_tex")
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@staticmethod
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def generate_excel_sheet(test, sheet, file_name):
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with open(os.path.join("test_files", file_name), "w") as f:
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for row in range(1, sheet.max_row + 1):
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for col in range(1, sheet.max_column + 1):
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value = sheet.cell(row=row, column=col).value
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if value is not None:
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print(f'{row};{col};"{value}"', file=f)
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def test_excel_output(self):
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benchmark = Benchmark("accuracy", visualize=False)
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benchmark.compile_results()
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@@ -101,6 +110,3 @@ class BenchmarkTest(TestBase):
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for sheet_name in book.sheetnames:
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sheet = book[sheet_name]
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self.check_excel_sheet(sheet, f"exreport_excel_{sheet_name}")
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# ExcelTest.generate_excel_sheet(
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# self, sheet, f"exreport_excel_{sheet_name}"
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# )
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@@ -179,6 +179,7 @@ class UtilTest(TestBase):
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"stratified": "0",
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"source_data": "Tanveer",
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"seeds": "[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]",
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"discretize": "0",
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}
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computed = EnvData().load()
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self.assertDictEqual(computed, expected)
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@@ -1,6 +1,6 @@
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import os
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from openpyxl import load_workbook
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from ...Utils import Folders
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from ...Utils import Folders, Files
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from ..TestBase import TestBase
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@@ -43,6 +43,15 @@ class BeReportTest(TestBase):
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self.assertEqual(stderr.getvalue(), "")
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self.check_output_file(stdout, "report_datasets")
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def test_be_report_datasets_excel(self):
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stdout, stderr = self.execute_script("be_report", ["-x", "1"])
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self.assertEqual(stderr.getvalue(), "")
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self.check_output_file(stdout, "report_datasets")
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file_name = os.path.join(os.getcwd(), Files.datasets_report_excel)
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book = load_workbook(file_name)
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sheet = book["Datasets"]
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self.check_excel_sheet(sheet, "exreport_excel_datasets")
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def test_be_report_best(self):
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stdout, stderr = self.execute_script(
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"be_report", ["-s", "accuracy", "-m", "STree", "-b", "1"]
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25
benchmark/tests/test_files/exreport_excel_Datasets.test
Normal file
25
benchmark/tests/test_files/exreport_excel_Datasets.test
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@@ -0,0 +1,25 @@
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1;1;"Datasets used in benchmark ver. 0.2.0"
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2;1;" Default score accuracy"
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2;2;"Cross validation"
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2;5;"5 Folds"
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3;2;"Stratified"
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3;5;"False"
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4;2;"Discretized"
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4;5;"False"
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5;2;"Seeds"
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5;5;"[57, 31, 1714, 17, 23, 79, 83, 97, 7, 1]"
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6;1;"Dataset"
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6;2;"Samples"
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6;3;"Features"
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6;4;"Classes"
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6;5;"Balance"
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7;1;"balance-scale"
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7;2;"625"
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7;3;"4"
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7;4;"3"
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7;5;" 7.84%/ 46.08%/ 46.08%"
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8;1;"balloons"
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8;2;"16"
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8;3;"4"
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8;4;"2"
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8;5;"56.25%/ 43.75%"
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@@ -1,4 +1,6 @@
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[94mDataset Sampl. Feat. Cls Balance
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============================== ===== ====== === ========================================
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[94mDatasets used in benchmark ver. 0.2.0
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Dataset Sampl. Feat. Cls Balance
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============================== ====== ===== === ============================================================
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[96mbalance-scale 625 4 3 7.84%/ 46.08%/ 46.08%
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[94mballoons 16 4 2 56.25%/ 43.75%
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