some errors fixed in production

.gitignore

@@ -65,3 +65,5 @@ target/
 # Cached data:
 *.h5
 
+# Editors
+.vscode/

pyproject.toml

@@ -24,7 +24,8 @@ classifiers = [
 requires = [
     "pandas >=1.0.0",
     "defusedxml >=0.6.0",
-    "tables >=3.6.1"
+    "tables >=3.6.1",
+    "click",
 ]
 
 requires-python = ">=3.7"
@@ -45,6 +46,9 @@ dev = [
     "pre-commit",
 ]
 
+[tool.flit.scripts]
+sensospot_data = "sensospot_data:run"
+
 [tool.black]
 line-length = 79
 target-version = ['py37']

sensospot_data/__init__.py

@@ -8,6 +8,10 @@ __version__ = "0.4.0"
 VERSION_TABLE_NAME = f"v{__version__}".replace(".", "_")
 
 
+from pathlib import Path
+
+import click
+
 from .parser import (  # noqa: F401
     CACHE_FILE_NAME,
     parse_file,
@@ -16,4 +20,29 @@ from .parser import (  # noqa: F401
     parse_multiple_files,
 )
 from .parameters import ExposureInfo  # noqa: F401
-from .normalisation import normalize_channel, split_channels  # noqa: F401
+from .normalisation import split_channels, normalize_channel  # noqa: F401
+
+
+@click.command()
+@click.argument(
+    "source",
+    type=click.Path(
+        exists=True,
+        file_okay=False,
+        dir_okay=True,
+        readable=True,
+        writable=True,
+    ),
+)
+@click.option(
+    "-o",
+    "--outfile",
+    default="raw_data.h5",
+    help="Output file path, relative to source dir",
+)
+def run(source, outfile):
+    source_path = Path(source)
+    # read the raw data of a folder
+    raw_data = parse_folder(source_path)
+    hdf5_path = source_path / outfile
+    raw_data.to_hdf(hdf5_path, key="raw_data", format="table")

sensospot_data/columns.py

@@ -38,6 +38,33 @@ COL_NAME_EXPOSURE_ID = "Exposure.Id"
 COL_NAME_EXPOSURE_CHANNEL = "Exposure.Channel"
 COL_NAME_EXPOSURE_TIME = "Exposure.Time"
 
+RAW_DATA_COLUMN_SET = {
+    COL_NAME_POS_X,
+    COL_NAME_POS_Y,
+    COL_NAME_BKG_MEAN,
+    COL_NAME_SPOT_MEAN,
+    COL_NAME_BKG_MEDIAN,
+    COL_NAME_SPOT_MEDIAN,
+    COL_NAME_BKG_STDDEV,
+    COL_NAME_SPOT_STDDEV,
+    COL_NAME_BKG_SUM,
+    COL_NAME_SPOT_SUM,
+    COL_NAME_BKG_AREA ,
+    COL_NAME_SPOT_AREA,
+    COL_NAME_SPOT_SAT,
+    COL_NAME_POS_NOM_X,
+    COL_NAME_POS_NOM_Y,
+    COL_NAME_POS_ID,
+    COL_NAME_SPOT_FOUND,
+    COL_NAME_SPOT_DIAMETER,
+    COL_NAME_WELL_ROW,
+    COL_NAME_WELL_COLUMN,
+    COL_NAME_PARAMETERS_CHANNEL,
+    COL_NAME_PARAMETERS_TIME,
+    COL_NAME_EXPOSURE_ID
+}
+
+
 # normalized columns
 COL_NAME_NORMALIZED_EXPOSURE_TIME = f"Normalized.{COL_NAME_EXPOSURE_TIME}"
 COL_NAME_NORMALIZED_BKG_MEAN = f"Normalized.{COL_NAME_BKG_MEAN}"

sensospot_data/parameters.py

@@ -43,7 +43,7 @@ def _parse_measurement_params(params_file):
         channel_description = child.attrib["Description"]
         # channel_description == "[Cy3|Cy5] Green"
         channel = channel_description.rsplit(" ", 1)[-1]
-        time = int(child.attrib["ExposureTimeMs"])
+        time = float(child.attrib["ExposureTimeMs"])
         result[exposure] = ExposureInfo(channel.lower(), time)
     return result
 

sensospot_data/parser.py

@@ -16,6 +16,7 @@ from .columns import (
     COL_NAME_EXPOSURE_ID,
     COL_NAME_WELL_COLUMN,
     COL_NAME_SPOT_DIAMETER,
+    RAW_DATA_COLUMN_SET
 )
 from .parameters import add_optional_measurement_parameters
 
@@ -27,7 +28,7 @@ REGEX_WELL = re.compile(
     re.VERBOSE | re.IGNORECASE,
 )
 
-COLUMNS_TO_DROP = ["Rect.", "Contour"]
+COLUMNS_TO_DROP = ["Rect.", "Contour", "Id", "Name", "Foo"]
 COLUMNS_RENAME_MAP = {
     " ID ": COL_NAME_POS_ID,
     "Found": COL_NAME_SPOT_FOUND,
@@ -80,12 +81,16 @@ def _extract_measurement_info(data_file):
 def _cleanup_data_columns(data_frame):
     """ renames some data columns for consistency and drops unused columns """
     renamed = data_frame.rename(columns=COLUMNS_RENAME_MAP)    
-    return renamed.drop(columns=COLUMNS_TO_DROP)
+    surplus_columns = set(renamed.columns) - RAW_DATA_COLUMN_SET
+    return renamed.drop(columns=surplus_columns)
 
 
 def parse_file(data_file):
     """ parses one data file and adds metadata to result """
-    measurement_info = _extract_measurement_info(Path(data_file))
+    try:
+        measurement_info = _extract_measurement_info(Path(data_file))
+    except ValueError as e:
+        return None
     data_frame = _parse_csv(data_file)
     data_frame[COL_NAME_WELL_ROW] = measurement_info.row
     data_frame[COL_NAME_WELL_COLUMN] = measurement_info.column
@@ -98,8 +103,9 @@ def parse_multiple_files(file_list):
     if not file_list:
         raise ValueError("Empty file list provided")
     collection = (parse_file(path) for path in file_list)
-    data_frame = next(collection)
+    filtered = (frame for frame in collection if frame is not None)
-    for next_frame in collection:
+    data_frame = next(filtered)
+    for next_frame in filtered:
         data_frame = data_frame.append(next_frame, ignore_index=True)
     data_frame[COL_NAME_WELL_ROW] = data_frame[COL_NAME_WELL_ROW].astype(
         "category"

tests/test_sensovation_data_parser.py

@@ -7,6 +7,6 @@ def test_import_api():
     from sensospot_data import parse_file  # noqa: F401
     from sensospot_data import parse_folder  # noqa: F401
     from sensospot_data import process_folder  # noqa: F401
-    from sensospot_data import normalize_channel  # noqa: F401
     from sensospot_data import split_channels  # noqa: F401
+    from sensospot_data import normalize_channel  # noqa: F401
     from sensospot_data import parse_multiple_files  # noqa: F401