Benjamin_Boenisch/breakpilot-lehrer
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fix(ocr-pipeline): avoid backslash in f-string for Python 3.11 compat

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Use format() instead of nested f-strings with escaped quotes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-02-27 20:06:20 +01:00
parent 4f37afa222
commit 1040729874
1 changed files with 6 additions and 6 deletions
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12
klausur-service/backend/cv_vocab_pipeline.py
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@@ -987,9 +987,9 @@ def detect_column_geometry(ocr_img: np.ndarray, dewarped_bgr: np.ndarray) -> Opt
'y_coverage': y_coverage,
})
_ci_summary = [(ci['mean_x']+left_x, ci['count'], format(ci['y_coverage'], '.0%')) for ci in cluster_infos[:12]]
logger.info(f"ColumnGeometry: {len(cluster_infos)} clusters with >=2 words "
f"(from {len(clusters)} total), y_coverage: "
f"{[(ci['mean_x']+left_x, ci['count'], f\"{ci['y_coverage']:.0%}\") for ci in cluster_infos[:12]]}")
f"(from {len(clusters)} total), y_coverage: {_ci_summary}")
# Primary: good vertical coverage
primary = [c for c in cluster_infos if c['y_coverage'] >= MIN_Y_COVERAGE_PRIMARY]
@@ -1002,9 +1002,9 @@ def detect_column_geometry(ocr_img: np.ndarray, dewarped_bgr: np.ndarray) -> Opt
significant = sorted(primary + secondary, key=lambda c: c['mean_x'])
_sig_summary = [(s['mean_x']+left_x, s['count'], format(s['y_coverage'], '.0%')) for s in significant[:10]]
logger.info(f"ColumnGeometry: {len(significant)} significant clusters "
f"(primary={len(primary)}, secondary={len(secondary)}): "
f"{[(s['mean_x']+left_x, s['count'], f\"{s['y_coverage']:.0%}\") for s in significant[:10]]}")
f"(primary={len(primary)}, secondary={len(secondary)}): {_sig_summary}")
if len(significant) < 3:
logger.info("ColumnGeometry: < 3 clusters after verticality filter, signaling fallback")
@@ -1028,8 +1028,8 @@ def detect_column_geometry(ocr_img: np.ndarray, dewarped_bgr: np.ndarray) -> Opt
else:
merged.append(s.copy())
logger.info(f"ColumnGeometry: {len(merged)} clusters after merging (dist={merge_distance}px): "
f"{[(m['mean_x']+left_x, m['count'], f\"{m['y_coverage']:.0%}\") for m in merged]}")
_merged_summary = [(m['mean_x']+left_x, m['count'], format(m['y_coverage'], '.0%')) for m in merged]
logger.info(f"ColumnGeometry: {len(merged)} clusters after merging (dist={merge_distance}px): {_merged_summary}")
if len(merged) < 3:
logger.info("ColumnGeometry: < 3 merged clusters, signaling fallback")