Support evaluation-local configuration and names overrides

copienator/commands/add_final_score.py

@@ -10,21 +10,11 @@ import pandas as pd
 from PIL import Image, ImageDraw, ImageFont
 
 from copienator import atomic_write_json, read_json
-from copienator.configuration import (
-    FINAL_SCORE_FONT_PATH,
-    FINAL_SCORE_HISTOGRAM_PATH,
-    FINAL_SCORE_ODS_PATH,
-    FINAL_SCORE_OUTPUT_DIR,
-)
-
-# Configuration constants
-ODS_PATH = Path(FINAL_SCORE_ODS_PATH).expanduser()
-OUTPUT_DIR = Path(FINAL_SCORE_OUTPUT_DIR).expanduser()
-HISTOGRAM_PATH = Path(FINAL_SCORE_HISTOGRAM_PATH).expanduser()
+from copienator import configuration
 
 
 def score_font(size):
-    candidates = [FINAL_SCORE_FONT_PATH, "DejaVuSans-Bold.ttf", "arial.ttf"]
+    candidates = [configuration.FINAL_SCORE_FONT_PATH, "DejaVuSans-Bold.ttf", "arial.ttf"]
     for candidate in candidates:
         if not candidate:
             continue
@@ -64,9 +54,10 @@ def copy_return_artifacts(source_dir: Path, destination_dir: Path) -> None:
 
 def copy_histogram(output_dir: Path, *, copy_merged_histogramme: bool = False) -> None:
     """Copy the score histogram beside the per-student output folders."""
-    sources = [(HISTOGRAM_PATH, "histogramme.pdf")]
+    histogram_path = Path(configuration.FINAL_SCORE_HISTOGRAM_PATH).expanduser()
+    sources = [(histogram_path, "histogramme.pdf")]
     if copy_merged_histogramme:
-        sources.append((HISTOGRAM_PATH.with_name("merged_histogramme.pdf"), "merged_histogramme.pdf"))
+        sources.append((histogram_path.with_name("merged_histogramme.pdf"), "merged_histogramme.pdf"))
     for source, filename in sources:
         if not source.is_file():
             print(f"Warning: Missing histogram '{source}'.")
@@ -113,7 +104,7 @@ def process_images(base_dir, output_dir, *, copy_merged_histogramme=False):
     try:
         # header=None assumes the file starts directly with data.
         # If row 0 is a header, change to header=0
-        df = pd.read_excel(ODS_PATH, engine="odf", header=None)
+        df = pd.read_excel(Path(configuration.FINAL_SCORE_ODS_PATH).expanduser(), engine="odf", header=None)
         # Create a lookup dictionary: {Name: Score}
         score_db = dict(zip(df[0], df[1]))
     except Exception as e:
@@ -209,7 +200,8 @@ def main(argv=None):
     args = parser.parse_args(argv)
 
     base_dir = args.dir.expanduser().resolve()
-    output_dir = OUTPUT_DIR / base_dir.name
+    configuration.use_evaluation(base_dir)
+    output_dir = Path(configuration.FINAL_SCORE_OUTPUT_DIR).expanduser() / base_dir.name
     output_dir.mkdir(parents=True, exist_ok=True)
     process_images(base_dir, output_dir, copy_merged_histogramme=args.copy_merged_histogramme)
     return 0