Merge pull request #35 from UNC-Libraries/bxc-4682

BXC-4682 - Remove html component of segmentation report

create_seg_report.py

@@ -1,4 +1,4 @@
-# Script which generates an HTML report from a CSV document created by segmenter_predict.py
+# Script which generates a CSV report document and preview images from outcome of segmenter_predict.py
 from src.utils.segmentation_report_service import SegmentationReportService
 from src.utils.classifier_config import ClassifierConfig
 from pathlib import Path
@@ -7,7 +7,7 @@
 
 parser = argparse.ArgumentParser()
 parser.add_argument('-f', '--file-path', type=Path, required=True, 
-                    help="Path to csv file that will be used to generate html page.")
+                    help="Path to csv file that will be used to generate report.")
 parser.add_argument('-d', '--output-path', type=Path, default=False, required=False, 
                     help="Path of the directory to write the report out to. Defaults to src/report")
 parser.add_argument('-c', '--config', type=Path,

src/tests/test_segmentation_report_service.py

@@ -27,7 +27,6 @@ def test_generate(self, tmp_path, config):
     service = SegmentationReportService(csv_path, report_path, config)
     service.generate()
 
-    assert (report_path / 'report.html').is_file()
     assert (report_path / 'data.csv').is_file()
     data_wrapper = from_json(report_path / 'data.json')
     data = data_wrapper['data']

src/utils/segmentation_report_service.py

@@ -15,16 +15,13 @@ def __init__(self, csv_path, report_path, config):
     self.report_path = report_path
     self.images_path = report_path / 'images'
     self.config = config
-    # self.norms_relative_path = Path(norms_relative_path).resolve()
     self.original_data = False
     self.output_data = []
     self.normalizer = ImageNormalizer(config)
 
   def generate(self):
     # create output directory and images subdirectory
     self.images_path.mkdir(parents=True, exist_ok=True)
-    # copy html page
-    shutil.copyfile('src/reports/seg_report.html', self.report_path / 'report.html')
     # copy in csv file
     shutil.copyfile(self.csv_path, self.report_path / 'data.csv')
     # begin processing csv file