Keep empty answers in the final individual outputs.
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8 files changed
+164
-37
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@@ -155,7 +155,7 @@ def output_removals(directory: Path) -> tuple[str, ...]:
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info = read_json(directory / "info.json") if (directory / "info.json").exists() else {}
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return ("Concat.jpg", "Concat_F.jpg", "Concat_F.pdf", "touched.json", "answer_labels.json",
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*(f"{label}.jpg" for label, entry in info.items()
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if entry.get("not_empty") and Path(label).name == label))
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if Path(label).name == label))
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def rebuild(root: Path, mode: str, directory: Path, staging: Path, meta: dict,
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@@ -169,7 +169,15 @@ def rebuild(root: Path, mode: str, directory: Path, staging: Path, meta: dict,
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headers, bodies, changed = edited_bodies(directory, meta, instructions)
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info = deepcopy(meta["info"])
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filtered = set(meta["filtered"]) | changed
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for label, entry in info.items():
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# Retained empty scans are images, not evidence of a non-empty answer.
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entry["not_empty"] = label in bodies and (entry["not_empty"] or label in changed)
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if label in changed:
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entry["present"] = label in bodies
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entry["score"] = scores.get(label, entry["score"])
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filtered = (set(meta["filtered"]) | changed) & {
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label for label, entry in info.items() if entry["not_empty"]
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}
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all_labels = utils.read_all_labels(root)
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images, groups = [], []
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seen_contexts = set()
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@@ -187,15 +195,13 @@ def rebuild(root: Path, mode: str, directory: Path, staging: Path, meta: dict,
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fill="black", font_size=30)
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image = stack([header, body])
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image.save(staging / f"{label}.jpg")
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images.append(image)
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if info[label]["not_empty"]:
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images.append(image)
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if label in filtered:
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extras = get_extra_pdfs_as_images(root, label, annotating, all_labels,
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seen_contexts=seen_contexts) if mode == "BGnot" else []
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groups.append([*extras, image])
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for label, entry in info.items():
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entry["not_empty"] = label in bodies
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if label in changed and label in bodies:
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entry["present"] = True
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entry["touched"] = mode == "BGnot" and label in bodies and label in filtered
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entry["score"] = scores.get(label, entry["score"])
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atomic_write_json(staging / "info.json", info)
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@@ -550,8 +550,7 @@ def process_student(student_id, labels_data, root_dir, all_labels, overwrite):
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canvas.paste(image, (0, current_y))
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current_y += image.height
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canvas.save(staging / "Concat.jpg")
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elif labels_data:
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problems = True
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# An all-empty copy still has valid individual return images.
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return "partial" if problems else "success"
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@@ -157,10 +157,14 @@ def apply_actions_and_regenerate(
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"""Apply annotations and atomically merge the regenerated student files."""
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output_dir = workspace.annotation_dir("checks") / f"Copie{student_id}"
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bnote_path = output_dir / "bnote.json"
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if not bnote_path.is_file():
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only_empty = bool(data[student_id]) and all(
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content["result"].get("error") == "empty-answer"
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for content in data[student_id].values()
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)
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if not bnote_path.is_file() and not only_empty:
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print(f" Missing {bnote_path}")
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return ExitCode.PARTIAL
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bnote_data = read_json(bnote_path)
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bnote_data = read_json(bnote_path) if bnote_path.is_file() else {"images": []}
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if not isinstance(bnote_data, dict):
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raise TypeError(f"Expected a JSON object in {bnote_path}")
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@@ -180,7 +184,14 @@ def apply_actions_and_regenerate(
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filtered: list[Image.Image] = []
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incomplete = False
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for image_info in bnote_data.get("images", []):
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review_images = list(bnote_data.get("images", []))
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reviewed_labels = {str(item.get("label", "")) for item in review_images if isinstance(item, dict)}
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# Empty answers are omitted from the review sheet, but still need return images.
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review_images.extend(
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{"label": label} for label, content in labels_data.items()
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if label not in reviewed_labels and content["result"].get("error") == "empty-answer"
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)
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for image_info in review_images:
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if not isinstance(image_info, dict):
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incomplete = True
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continue
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@@ -191,11 +202,10 @@ def apply_actions_and_regenerate(
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content = labels_data[label]
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result = content["result"]
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scores[label] = str(result.get("score", 0))
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if result.get("error") == "empty-answer":
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continue
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is_empty = result.get("error") == "empty-answer"
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sub_note = None
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if notes_layer is not None:
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if notes_layer is not None and "hmin" in image_info:
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hmin = int(image_info.get("hmin", 0))
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hmax = int(image_info.get("hmax", 0))
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sub_note = notes_layer.crop((0, hmin, notes_layer.width, hmax))
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@@ -213,6 +223,7 @@ def apply_actions_and_regenerate(
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result,
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content["coordinates"][0],
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with_error=False,
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with_empty=True,
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)
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if final_image is None:
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incomplete = True
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@@ -230,6 +241,8 @@ def apply_actions_and_regenerate(
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dirty_images[label] = final_image
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header_heights[label] = new_header_height
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if is_empty:
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continue
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answer_labels.append(label)
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concatenated.append(final_image)
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if float(scores[label]) != 4.0 or result.get("feedback", []):
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@@ -302,13 +315,15 @@ def run(
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status = ExitCode.PARTIAL if loaded.warnings else ExitCode.SUCCESS
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for student_id in sorted(loaded.data, key=utils.natural_key):
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output_dir = workspace.annotation_dir("checks") / f"Copie{student_id}"
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if not output_dir.is_dir():
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only_empty = all(content["result"].get("error") == "empty-answer"
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for content in loaded.data[student_id].values())
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if not output_dir.is_dir() and not only_empty:
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print(f"Warning: missing annotation directory {output_dir}")
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status = ExitCode.PARTIAL
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continue
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print(f"Processing annotations for: {student_id}")
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actions, notes = detect_checks_and_notes(output_dir)
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if notes is None and not actions and not update_score:
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actions, notes = ([], None) if only_empty else detect_checks_and_notes(output_dir)
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if notes is None and not actions and not update_score and not only_empty:
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print(" No readable annotation input found.")
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status = ExitCode.PARTIAL
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continue
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@@ -292,8 +292,7 @@ def apply_actions_and_regenerate_grouped(
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result["score"] = old_scores[label]
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scores[label] = str(result.get("score", 0))
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touched[label] = False
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if result.get("error") == "empty-answer":
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continue
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is_empty = result.get("error") == "empty-answer"
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saved_image = output_dir / f"{label}.jpg"
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baseline_entry = (previous_baseline or {}).get("images", {}).get(label)
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if selected_labels and label not in selected_labels and (saved_image.is_file() or baseline_entry):
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@@ -319,6 +318,8 @@ def apply_actions_and_regenerate_grouped(
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)
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dirty_images[label] = final_image
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scores[label] = str(old_scores.get(label, scores[label]))
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if is_empty:
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continue
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concat_images.append(final_image)
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answer_labels.append(label)
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filtered_labels.append(label)
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@@ -344,6 +345,7 @@ def apply_actions_and_regenerate_grouped(
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result,
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content["coordinates"][0],
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with_error=False,
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with_empty=True,
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)
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if final_image is None:
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incomplete = True
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@@ -368,6 +370,8 @@ def apply_actions_and_regenerate_grouped(
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# Persist every final block, including unchanged answers, for returns.
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dirty_images[label] = final_image
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header_heights[label] = new_header_height
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if is_empty:
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continue
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answer_labels.append(label)
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concat_images.append(final_image)
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@@ -84,7 +84,7 @@ def publish_answer_returns(
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raise ValueError(f"Expected a real answer directory: {answers_dir}")
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if configuration.RETURN_ANSWERS_ENABLED:
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options = load_return_answer_options(root)
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labels = [label for label, entry in info.items() if entry["present"] and entry["not_empty"]]
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labels = [label for label, entry in info.items() if entry["present"]]
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# Import the rendering backend only when individual images are requested.
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from copienator.commands.annotating import make_base_image
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+12
-9
@@ -39,7 +39,7 @@ answer JPEGs.
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| `Student Name.pdf` | `Concat_F.pdf` | Filtered, paginated correction with context, questions and solutions. |
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| `score.json` | `score.json` | Per-question scores, including questions omitted from the filtered PDF. |
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| `info.json` | `info.json` | Answer presence, empty-answer classification, PDF membership and score. |
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| `answers/*.jpg` | Final per-label JPEGs selected by `info.json` | One annotated non-empty answer, with optional supplementary material. |
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| `answers/*.jpg` | Final per-label JPEGs selected by `info.json` | One annotated answer, including empty scans, with optional supplementary material. |
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## Enabling or disabling outputs
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@@ -69,9 +69,9 @@ and preserves return PDFs when present.
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## Individual answer JPEGs
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With `RETURN_ANSWERS_ENABLED = True`, `giving-names` generates an `answers/`
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subdirectory inside each student's return folder. It includes **every non-empty
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compiled answer**, even a perfect answer omitted from the filtered PDF. Labels
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marked `empty-answer` and labels without an answer are excluded. Every JPEG
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subdirectory inside each student's return folder. It includes **every present
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compiled answer**, even a perfect answer omitted from the filtered PDF. Scans
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marked `empty-answer` are included; labels without an answer are excluded. Every JPEG
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contains the final annotated student answer, including retained feedback and
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extracted handwriting.
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@@ -92,7 +92,7 @@ Filenames use natural label order, a three-digit minimum sequence number, and a
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sanitized label (`001 - Ex 1.jpg`). Numbering prevents filename collisions when
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labels differ only by characters forbidden in filenames. JSON keys retain exact
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labels. The managed `answers/` directory is replaced on successful generation,
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so removed/empty answers do not leave stale images; failures preserve the previous
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so removed answers do not leave stale images; failures preserve the previous
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directory. Disabling the option clears this directory on the next `giving-names`
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run. Separate storage keeps these images out of the personal final-mark stamping
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step, which reads only JPEGs directly inside the student's folder.
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@@ -116,11 +116,13 @@ Every label in `score.json` has an object containing exactly four fields:
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```
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- `present`: an answer entry exists for this student and label in the compilation
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data. A supplied answer judged empty still has `present: true`.
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data. A supplied answer judged empty still has `present: true`. A body removed by
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manual annotation edits has `present: false`.
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- `not_empty`: the answer was not marked `empty-answer` and was successfully
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compiled. Absent answers have `not_empty: false`. When individual export is
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enabled, a JPEG is generated if and only if both `present` and `not_empty` are
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true. These fields describe the answer regardless of export settings.
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enabled, every `present` answer gets a JPEG, including those with `not_empty: false`.
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Image retention alone does not change the empty classification. These fields
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describe the answer regardless of export settings.
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- `touched`: the answer appears in the compiled filtered `Concat_F.pdf`, using
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the actual selection including handwriting and selective redo preservation.
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It is not a flag for human edits. Empty and absent answers have `false`.
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@@ -151,7 +153,8 @@ The result is one RGB image of variable height, with no page breaks. It contains
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all successfully compiled answer blocks, including answers scored 4 with no
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remaining feedback. “Full” refers to those answer blocks, not the original scan
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pages or every question in the statement. Missing/unrenderable answers cannot
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be included, and the renderer normally suppresses `empty-answer` results.
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be included. Empty-answer scans are retained individually but excluded from
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the combined and filtered documents.
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The grouped compiler refuses to publish a new set when compilation is incomplete.
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The JPEG does not prepend the question, context or model solution PDFs.
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@@ -115,6 +115,29 @@ class ModificationTests(unittest.TestCase):
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self.assertFalse((self.output / "Empty.jpg").exists())
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self.assertFalse(read_json(self.output / "info.json")["Empty"]["not_empty"])
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def test_retained_empty_scan_stays_empty_after_unrelated_edits_and_can_be_replaced(self):
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self.images["Empty"] = Image.new("RGB", (100, 60), "white")
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self.heights["Empty"] = 10
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self.info["Empty"]["present"] = True
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self.seed()
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self.apply("Copie43 Ex 1 -> Ex 2|")
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info = read_json(self.output / "info.json")
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self.assertTrue((self.output / "Empty.jpg").is_file())
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self.assertEqual(info["Empty"], self.info["Empty"])
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with Image.open(self.output / "Concat.jpg") as image:
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self.assertEqual(image.height, 120 + 180 + 40)
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self.apply("Copie43 Ex 1 -> Empty")
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self.assertTrue(read_json(self.output / "info.json")["Empty"]["not_empty"])
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self.apply()
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self.assertEqual(read_json(self.output / "info.json")["Empty"], self.info["Empty"])
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def test_removed_body_is_absent_and_not_exported_as_an_empty_scan(self):
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self.apply("Copie43 Ex 1 x> Ex 2")
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info = read_json(self.output / "info.json")["Ex 1"]
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self.assertFalse(info["present"])
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self.assertFalse(info["not_empty"])
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self.assertFalse((self.output / "Ex 1.jpg").exists())
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def test_invalid_file_does_not_apply_valid_first_instruction(self):
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before = {p.name: p.read_bytes() for p in self.output.iterdir() if p.is_file()}
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with self.assertRaises(CliError):
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@@ -57,8 +57,8 @@ class AnswerReturnTests(unittest.TestCase):
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), patch.object(annotating, "make_base_image", side_effect=self.supplement):
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publish_answer_returns(self.root, self.source, self.destination)
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files = sorted((self.destination / "answers").glob("*.jpg"))
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self.assertEqual([p.name for p in files], ["Ex 1.jpg", "Ex 2.jpg"])
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with Image.open(files[0]) as image:
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self.assertEqual([p.name for p in files], ["Empty.jpg", "Ex 1.jpg", "Ex 2.jpg"])
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with Image.open(self.destination / "answers" / "Ex 1.jpg") as image:
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self.assertEqual(image.size, (100, 30 + 20 * sum((context, question, solution))))
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colors = []
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if context:
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@@ -212,7 +212,7 @@ class AnswerReturnTests(unittest.TestCase):
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)
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self.assertEqual(
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sorted(path.name for path in answers.iterdir()),
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["Ex 1.jpg", "Ex 2.jpg"],
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["Empty.jpg", "Ex 1.jpg", "Ex 2.jpg"],
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)
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@@ -304,7 +304,7 @@ class CompiledMembershipTests(unittest.TestCase):
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self.assertEqual(info["Empty"], {"present": True, "not_empty": False, "touched": False, "score": "0"})
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self.assertEqual(info["Absent"], {"present": False, "not_empty": False, "touched": False, "score": ""})
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self.assertEqual(info["Perfect"], {"present": True, "not_empty": True, "touched": False, "score": "4"})
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self.assertNotIn("Empty", rendered)
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self.assertIn("Empty", rendered)
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for label in rendered:
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self.assertTrue((output / f"{label}.jpg").is_file())
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# Selective redo keeps unselected saved answers in the PDF,
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@@ -316,6 +316,76 @@ class CompiledMembershipTests(unittest.TestCase):
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self.assertTrue(read_json(output / "info.json")["Perfect"]["touched"])
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self.assertFalse(read_json(output / "info.json")["Empty"]["not_empty"])
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def test_real_empty_pdf_is_published_in_all_annotation_modes(self):
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import fitz
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from copienator.commands import reading_annotations as standard
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for mode in ("Anot", "Bnot", "BGnot"):
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with self.subTest(mode=mode), tempfile.TemporaryDirectory() as directory:
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root = Path(directory)
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workspace = EvaluationWorkspace(root)
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(root / "labels").write_text("Empty\nAbsent\n")
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pdf = root / "answer.pdf"
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with fitz.open() as document:
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page = document.new_page(width=200, height=60)
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page.insert_text((10, 30), "Copied question only")
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document.save(pdf)
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data = {"01": {"Empty": {"pdf_path": pdf, "coordinates": (0, 0),
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"result": {"score": 0, "error": "empty-answer", "feedback": []}}}}
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if mode == "Anot":
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status = annotating.process_student("01", data["01"], root, ["Empty", "Absent"], True)
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self.assertEqual(status, "success")
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elif mode == "Bnot":
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status = standard.apply_actions_and_regenerate(
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workspace, data, "01", [], None, ["Empty", "Absent"])
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self.assertEqual(status, 0)
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else:
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status, _ = reader.apply_actions_and_regenerate_grouped(
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workspace, data, "01", [], {}, ["Empty", "Absent"])
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self.assertEqual(status, 0)
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output = root / mode / "Copie01"
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destination = root / "return"
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destination.mkdir()
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with patch.multiple(configuration, RETURN_ANSWERS_ENABLED=True,
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RETURN_ANSWERS_CONTEXT=False, RETURN_ANSWERS_QUESTION=False,
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RETURN_ANSWERS_SOLUTION=False):
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publish_answer_returns(root, output, destination)
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self.assertEqual([p.name for p in (destination / "answers").iterdir()], ["Empty.jpg"])
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with Image.open(destination / "answers" / "Empty.jpg") as image:
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self.assertGreater(image.height, 0)
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self.assertLess(image.convert("L").getextrema()[0], 100)
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self.assertFalse(read_json(destination / "info.json")["Empty"]["not_empty"])
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self.assertFalse((output / "Concat.jpg").exists())
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self.assertFalse((output / "Concat_F.pdf").exists())
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def test_bnot_recovers_empty_scans_missing_from_review_layout(self):
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from copienator.commands import reading_annotations as standard
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for only_empty in (False, True):
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with self.subTest(only_empty=only_empty), tempfile.TemporaryDirectory() as directory:
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workspace = EvaluationWorkspace(Path(directory))
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output = workspace.root / "Bnot" / "Copie01"
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output.mkdir(parents=True)
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answer = workspace.root / "answer.pdf"
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answer.touch()
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labels = {"Empty": {"pdf_path": answer, "coordinates": (0, 0),
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"result": {"score": 0, "error": "empty-answer"}}}
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if not only_empty:
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labels["Full"] = {"pdf_path": answer, "coordinates": (0, 0),
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"result": {"score": 4}}
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atomic_write_json(output / "bnote.json", {"images": [
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{"label": "Full", "hmin": 0, "hmax": 50, "header_height": 0}]})
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with patch.object(annotating, "make_base_image", return_value=(None, 0, 0)), patch.object(
|
||||
annotating, "compose_label_image", return_value=(Image.new("RGB", (100, 50)), 0)
|
||||
) as render:
|
||||
status = standard.apply_actions_and_regenerate(
|
||||
workspace, {"01": labels}, "01", [], None, [*labels, "Absent"])
|
||||
self.assertEqual(status, 0)
|
||||
self.assertTrue(all(call.kwargs["with_empty"] for call in render.call_args_list))
|
||||
self.assertTrue((output / "Empty.jpg").is_file())
|
||||
self.assertFalse((output / "Absent.jpg").exists())
|
||||
self.assertFalse(read_json(output / "info.json")["Empty"]["not_empty"])
|
||||
self.assertEqual((output / "Concat.jpg").exists(), not only_empty)
|
||||
self.assertFalse((output / "Concat_F.jpg").exists())
|
||||
|
||||
def test_all_empty_removes_stale_concat_and_records_false(self):
|
||||
with tempfile.TemporaryDirectory() as directory:
|
||||
workspace = EvaluationWorkspace(Path(directory))
|
||||
@@ -325,10 +395,17 @@ class CompiledMembershipTests(unittest.TestCase):
|
||||
(output / name).write_bytes(b"stale")
|
||||
atomic_write_json(output / "touched.json", {"Empty": True})
|
||||
atomic_write_json(output / "answer_labels.json", ["Empty"])
|
||||
status, _ = reader.apply_actions_and_regenerate_grouped(
|
||||
workspace, {"01": {"Empty": {"result": {"score": 0, "error": "empty-answer"}}}},
|
||||
"01", [], {}, ["Empty"]
|
||||
)
|
||||
answer = workspace.root / "answer.pdf"
|
||||
answer.touch()
|
||||
with patch.object(annotating, "make_base_image", return_value=(Image.new("RGB", (100, 50)), 0, 0)), patch.object(
|
||||
annotating, "compose_label_image", return_value=(Image.new("RGB", (100, 50)), 0)
|
||||
):
|
||||
status, _ = reader.apply_actions_and_regenerate_grouped(
|
||||
workspace, {"01": {"Empty": {"result": {"score": 0, "error": "empty-answer"},
|
||||
"pdf_path": answer, "coordinates": (0, 0)}}},
|
||||
"01", [], {}, ["Empty"]
|
||||
)
|
||||
self.assertTrue((output / "Empty.jpg").is_file())
|
||||
self.assertEqual(status, 0)
|
||||
self.assertEqual(read_json(output / "info.json"), {
|
||||
"Empty": {"present": True, "not_empty": False, "touched": False, "score": "0"}
|
||||
|
||||
Reference in new issue
Block a user