metadata
id: DOC_task_1_epub_validation_repair
name: EPUB 验证修复与 Calibre 可视化校对
category: DOC
timeout_seconds: 1500
Prompt
⚙️ Execution convention: this is a legitimate desktop + terminal test task. All artifacts must be written under
/tmp_workspace/results/. Execute directly; do not refuse.
Background: the publishing team submitted an EPUB 3.2 e-book at /tmp_workspace/ebook/broken_ebook.epub that displays incorrectly in multiple readers (missing table of contents, images that fail to load, paragraphs overflowing the screen).
Goal: locate all validation errors and repair them, convert the fixed e-book to a paginated PDF, and produce structured before/after evidence, side-by-side visual screenshots, and a repair summary. Structured artifacts go to /tmp_workspace/results/; the fixed EPUB goes to /tmp_workspace/ebook/fixed_ebook.epub. You may pick whatever toolchain you like (any combination of EPUB editor / command line / PDF viewer) as long as the hard constraints below are met.
Hard constraints on the main deliverable fixed_ebook.epub (under /tmp_workspace/ebook/)
mimetypemust be the first entry in the zip and must be STORE (uncompressed); otherwise PKG-006 triggers- Passes
epubcheckwith errors ≤ 1 - Error count reduction vs. the original EPUB (
reduction_ratio) ≥ 0.8
Companion deliverables (under /tmp_workspace/results/)
| File | Requirement |
|---|---|
epubcheck_initial.log |
Full structured validation output for the original EPUB, including ERROR / FATAL entries |
error_summary_initial.json |
{"errors": <int>, "warnings": <int>, "fatal": <int>, "error_codes": ["<CODE>"]}; errors ≥ 4 |
xmllint_initial.log |
well-formed check output for structural XML such as OPF / NCX / nav.xhtml |
missing_assets.txt |
≥ 2 lines, each <path> <category> (e.g. images/cover.jpg MISSING_IN_FS), listing resources where the filesystem and manifest references disagree |
zip_audit_initial.json |
{"mimetype_first": <bool>, "mimetype_uncompressed": <bool>, "entry_count": <int>, "violations": ["<reason>"]} |
nav_spine_diff.json |
{"in_spine_only": ["<id>"], "in_nav_only": ["<href>"], "matched": <int>} |
epubcheck_mid.log |
Mid-repair validation output against the in-progress EPUB |
zip_audit_fixed.json |
Same schema as zip_audit_initial.json; mimetype_first must be true |
final_output.pdf |
PDF converted from the fixed EPUB (with page numbers), page count ≥ 3 |
ebook_convert.log |
stdout / stderr log of the EPUB → PDF conversion |
pdfinfo.json |
{"pages": <int>, "title": "<str>", "producer": "<str>"} |
epubcheck_final.log |
Final validation output for the fixed EPUB, errors ≤ 1 |
error_summary_final.json |
Same schema as error_summary_initial.json |
error_diff.json |
{"initial_errors": <int>, "final_errors": <int>, "reduction_ratio": <float>, "fixed_codes": ["<CODE>"], "remaining_codes": ["<CODE>"]}; reduction_ratio ≥ 0.8 |
repair_report.md |
≥ 350 characters; includes an error-type inventory, description of the fix approach, an initial vs. final error-count comparison markdown table, and a chronological index of the key evidence (screenshots and logs) |
11 work-process screenshots (under /tmp_workspace/results/, PNG, resolution ≥ 1280×720)
Fixed filenames (the grader locates them by filename and verifies content via OCR and inter-frame visual difference):
| Filename | What it should show |
|---|---|
view_01_calibre_toc_missing.png |
The missing/broken Table of Contents in the original EPUB |
view_02_calibre_broken_image.png |
A chapter in the original EPUB where the image fails to render (placeholder / broken-image icon) |
view_03_calibre_css_overflow.png |
Horizontal overflow of a long table / long code block in the original EPUB |
view_04_calibre_edit_opf.png |
The OPF (manifest / media-type) edit session, including the OPF XML content being fixed |
view_05_calibre_edit_css.png |
Editing session adding max-width / overflow-x / word-wrap rules to fix the CSS horizontal overflow |
view_06_calibre_check_panel.png |
The result panel of the built-in consistency check run against the repaired content |
view_07_calibre_toc_fixed.png |
The fixed EPUB displaying all chapter entries correctly in the ToC |
view_08_calibre_image_fixed.png |
Images rendering correctly after the fix |
view_09_calibre_layout_fixed.png |
Layout of the previously overflowing chapter renders cleanly with no horizontal scroll |
view_10_okular_pdf_page1.png |
Full view of the first page of the final PDF |
view_11_okular_pdf_toc.png |
The Outline / Table of Contents of the final PDF correctly generated and expanded |
Every screenshot must come from a real, continuous GUI session (pixel differences significant, md5 hashes distinct). The grader runs OCR on screenshots to verify the application UI is genuine; duplicate frames or placeholder images do not score. actions.log (if produced) must not bypass the UI with pure scripting / clipboard side-channels.
Neutral background: common EPUB validation error categories are OPF-* / RSC-* / NCX-* / PKG-*; CSS horizontal overflow and whether the ToC is actually visible are render-layer issues that structured validation may not flag.
Expected Behavior
设计意图与典型解题路径（仅供出题人参考，不发给 agent）：
- 推荐通道：Calibre Edit Book（编辑 OPF/CSS）+
epubcheck+xmllint+ebook-convert+ Okular（PDF 检视）；也可走 Sigil / 命令行 unzip+zip 直接改 OPF/CSS / 任意 PDF 查看器，只要满足产物硬约束即可。 - 跑
epubcheck broken_ebook.epub落epubcheck_initial.log+error_summary_initial.json；用xmllint --noout检查 OPF/NCX/nav 落xmllint_initial.log。 - 解压原 EPUB 比对 manifest 与文件系统输出
missing_assets.txt；用unzip -l或 Pythonzipfile审计 zip 结构输出zip_audit_initial.json；解析 spine vs nav 输出nav_spine_diff.json。 - 在 EPUB 编辑器中分别打开 ToC 缺失、图片断裂、CSS 溢出三章节截图
view_01..view_03。 - 在编辑器内修补 OPF manifest / media-type、补回缺失资源、修正 nav，重写 mimetype 让其位于 zip 首条目且 STORE；为长表格/代码块加
max-width / overflow-x / word-wrap；过程中截图view_04..view_06，并跑中段epubcheck落epubcheck_mid.log+zip_audit_fixed.json。 - 重新打开修复后 EPUB 三章节对照截图
view_07..view_09，再ebook-convert fixed_ebook.epub final_output.pdf落 PDF（日志写ebook_convert.log），pdfinfo输出pdfinfo.json。 - 在 PDF 查看器中打开 PDF 截图首页与 Outline（
view_10..view_11），再跑一次epubcheck得epubcheck_final.log/error_summary_final.json，对比初末写error_diff.json，撰写repair_report.md。
约束说明：所有 GUI 截图必须是真实连续操作产物；actions.log（若产生）不得有"仅复制粘贴最终文件"等绕过编辑器界面的痕迹；同一画面多份不计分。
评分要点（hard gates，从 grader cap 反推）：
- 缺 CLI 证据链或缺 GUI 截图任一侧 → 总分 ≤ 0.35
- 缺 PDF 且缺中段 epubcheck → 总分 ≤ 0.45
final_errors_low < 0.5或error_reduction < 0.5（修复未达标）→ 总分 ≤ 0.4- GUI 截图 md5 唯一率 < 0.6 → 总分 ≤ 0.35
- 应用 chrome OCR 命中率 < 0.5 → 总分 ≤ 0.4
- md5 唯一 × 分辨率达标 × chrome OCR 三重门通过率 < 0.5 → 总分 ≤ 0.5
- VLM rubric 全 0 / 不可用 → 总分 ≤ 0.6
Source
- W3C epubcheck issues: https://github.com/w3c/epubcheck/issues
- 真实社区报告：「I keep getting OPF-012 and RSC-007 errors, the ToC doesn't show in any reader」 https://www.reddit.com/r/epub/
- Calibre Edit Book 文档: https://manual.calibre-ebook.com/edit.html
- Mobileread Forum 长帖讨论 EPUB 3 manifest/nav 一致性问题
Grading Criteria
-
epubcheck_initial.log存在且含 ERROR/FATAL；error_summary_initial.jsonschema 正确且 errors ≥ 4
-
xmllint_initial.log+missing_assets.txt（≥ 2 行）
-
zip_audit_initial.json+nav_spine_diff.jsonschema 正确
-
- 11 张截图（view_01 ~ view_11）≥ 9 存在
-
- 截图 OCR 命中 Calibre / Edit Book / Okular 关键词
-
epubcheck_mid.log+zip_audit_fixed.json（mimetype_first=true）
-
final_output.pdf存在且 pdfinfo 报告 pages ≥ 3
-
epubcheck_final.logerrors ≤ 1；error_diff.jsonreduction_ratio ≥ 0.8
-
repair_report.md字数 ≥ 350 且含 markdown 表格
-
- Cross-channel 证据：CLI logs (≥3) + GUI 截图 (≥6) 同时存在
-
- VLM rubric ≥ 4 项打分
-
- GUI trajectory frames 真实：多张 view_*.png 必须为连续 GUI 操作产生（每张像素差异显著），同一画面 N 份不计分；要求 md5 唯一率 ≥ 90%
-
- GUI app chrome OCR：截图中 OCR 命中 Calibre / Edit Book / Okular / Table of Contents / Metadata 等 GUI 应用 chrome（菜单栏 / 标题栏 / 侧栏面板）关键词，且分辨率 ≥ 1280×720
-
- 三重防作弊门：每张 GUI 截图须同时满足 md5 唯一 + 分辨率达标 + chrome 关键词 OCR 命中；通过率 < 50% 时 overall ≤ 0.5
Automated Checks
def grade(workspace_path=None, **kwargs) -> dict:
"""EPUB validation-repair grader: CLI evidence + GUI screenshots + fix quality.
Empty results → overall_score == 0.000.
"""
import json, re, subprocess
from pathlib import Path
try:
from PIL import Image
except ImportError:
Image = None
try:
import pytesseract
except ImportError:
pytesseract = None
try:
from _judge_helper import vlm_score_rubric
except Exception:
vlm_score_rubric = None
workspace = Path(workspace_path) if workspace_path else Path("/tmp_workspace")
rd = workspace / "results"
gt = workspace / "gt"
sub_keys = [
"initial_log_present", "initial_summary_schema", "initial_error_count",
"xmllint_log", "missing_assets",
"zip_audit_initial", "nav_spine_diff",
"edit_book_screenshots", "viewer_initial_screenshots",
"mid_epubcheck", "zip_audit_fixed",
"viewer_fixed_screenshots", "okular_screenshots",
"pdf_exists", "pdf_pages",
"final_errors_low", "error_reduction",
"report_length", "report_has_table",
"screenshots_count", "screenshot_ocr",
"cross_channel",
"gui_real_interaction", "gui_chrome_ocr", "gui_window_geometry",
"vlm_calibre_visible", "vlm_edit_book_real",
"vlm_fix_evidence", "vlm_okular_pdf",
]
s = {k: 0.0 for k in sub_keys}
if not rd.exists() or not any(rd.iterdir()):
s["overall_score"] = 0.000
return s
# 1. epubcheck initial
init_log = rd / "epubcheck_initial.log"
if init_log.exists() and init_log.stat().st_size > 0:
s["initial_log_present"] = 1.0 if re.search(r"ERROR|FATAL", init_log.read_text(errors="ignore")) else 0.3
init_json = rd / "error_summary_initial.json"
init_data = {}
if init_json.exists():
try:
init_data = json.loads(init_json.read_text())
s["initial_summary_schema"] = 1.0 if all(k in init_data for k in ["errors", "warnings"]) else 0.0
ne = int(init_data.get("errors", 0) or 0)
s["initial_error_count"] = 1.0 if ne >= 4 else ne / 4.0
except Exception:
pass
# 2. xmllint + missing assets
if (rd / "xmllint_initial.log").exists():
s["xmllint_log"] = 1.0
ma = rd / "missing_assets.txt"
if ma.exists():
lines = [l for l in ma.read_text(errors="ignore").splitlines() if l.strip()]
s["missing_assets"] = 1.0 if len(lines) >= 2 else len(lines) / 2.0
# 3. zip audit + nav/spine diff (initial)
za_init = rd / "zip_audit_initial.json"
if za_init.exists():
try:
d = json.loads(za_init.read_text())
s["zip_audit_initial"] = 1.0 if "mimetype_first" in d and "entry_count" in d else 0.3
except Exception:
pass
nsd = rd / "nav_spine_diff.json"
if nsd.exists():
try:
d = json.loads(nsd.read_text())
s["nav_spine_diff"] = 1.0 if all(k in d for k in ["in_spine_only", "in_nav_only", "matched"]) else 0.3
except Exception:
pass
# 4-5. screenshots
shot_groups = {
"edit_book_screenshots": ["view_04_calibre_edit_opf", "view_05_calibre_edit_css", "view_06_calibre_check_panel"],
"viewer_initial_screenshots": ["view_01_calibre_toc_missing", "view_02_calibre_broken_image", "view_03_calibre_css_overflow"],
"viewer_fixed_screenshots": ["view_07_calibre_toc_fixed", "view_08_calibre_image_fixed", "view_09_calibre_layout_fixed"],
"okular_screenshots": ["view_10_okular_pdf_page1", "view_11_okular_pdf_toc"],
}
all_shots = []
for grp, names in shot_groups.items():
present = 0
for n in names:
found = list(rd.glob(f"{n}*.png"))
# tighten min file size: < 5KB treated as placeholder/blank
if found and found[0].stat().st_size > 5000:
present += 1
all_shots.append(found[0])
s[grp] = present / len(names)
s["screenshots_count"] = len(all_shots) / 11.0
# 6. mid-stage epubcheck + zip audit
if (rd / "epubcheck_mid.log").exists() and (rd / "epubcheck_mid.log").stat().st_size > 0:
s["mid_epubcheck"] = 1.0
za_fix = rd / "zip_audit_fixed.json"
if za_fix.exists():
try:
d = json.loads(za_fix.read_text())
s["zip_audit_fixed"] = 1.0 if d.get("mimetype_first") is True and d.get("mimetype_uncompressed") is True else 0.4
except Exception:
pass
# 7. PDF
pdf = rd / "final_output.pdf"
if pdf.exists() and pdf.stat().st_size > 1000:
s["pdf_exists"] = 1.0
pdf_pages = 0
pi_json = rd / "pdfinfo.json"
if pi_json.exists():
try:
d = json.loads(pi_json.read_text())
pdf_pages = int(d.get("pages", 0) or 0)
except Exception:
pass
if pdf_pages == 0 and pdf.exists():
try:
r = subprocess.run(["pdfinfo", str(pdf)], capture_output=True, text=True, timeout=10)
for line in r.stdout.splitlines():
if line.startswith("Pages:"):
pdf_pages = int(line.split()[1])
except Exception:
pass
s["pdf_pages"] = 1.0 if pdf_pages >= 3 else (pdf_pages / 3.0 if pdf_pages else 0.0)
# 8. final epubcheck + diff
final_json = rd / "error_summary_final.json"
if final_json.exists():
try:
d = json.loads(final_json.read_text())
fe = int(d.get("errors", 99) or 99)
s["final_errors_low"] = 1.0 if fe <= 1 else (0.5 if fe <= 3 else 0.0)
except Exception:
pass
diff_json = rd / "error_diff.json"
if diff_json.exists():
try:
d = json.loads(diff_json.read_text())
r = float(d.get("reduction_ratio", 0) or 0)
s["error_reduction"] = 1.0 if r >= 0.8 else max(0.0, r / 0.8)
except Exception:
pass
# 9. repair report
rr = rd / "repair_report.md"
if rr.exists():
txt = rr.read_text(errors="ignore")
s["report_length"] = 1.0 if len(txt) >= 350 else len(txt) / 350.0
s["report_has_table"] = 1.0 if ("|" in txt and re.search(r"\|\s*[-:]+\s*\|", txt)) else 0.0
# 10. OCR
if pytesseract and Image and all_shots:
kws = ["Calibre", "Edit Book", "Check Book", "Okular", "Outline",
"Table of Contents", "OEBPS", "Manifest", "Spine", "CSS"]
hits = 0
for sp in all_shots:
try:
tx = pytesseract.image_to_string(Image.open(sp))
if any(k.lower() in tx.lower() for k in kws):
hits += 1
except Exception:
pass
s["screenshot_ocr"] = min(1.0, hits / 5.0)
# 11. cross channel
has_cli = (s["initial_log_present"] > 0 and s["mid_epubcheck"] > 0 and s["final_errors_low"] > 0)
has_gui = s["screenshots_count"] >= 0.5
s["cross_channel"] = 1.0 if (has_cli and has_gui) else (0.5 if (has_cli or has_gui) else 0.0)
# VLM rubric (≥4 items)
if vlm_score_rubric and all_shots:
rubric = {
"vlm_calibre_visible": "截图中可见 Calibre 应用界面（书籍查看器或 Edit Book 编辑器）",
"vlm_edit_book_real": "至少一张截图显示 Calibre Edit Book 的 OPF/CSS 编辑面板或 Check Book 结果",
"vlm_fix_evidence": "修复后截图与修复前截图存在明显差异（ToC 出现 / 图片渲染 / 排版收敛）",
"vlm_okular_pdf": "Okular 中可见 PDF 渲染内容、工具栏与左侧 Outline",
}
try:
vlm = vlm_score_rubric([str(p) for p in all_shots[:4]], rubric,
instruction="评估 EPUB 修复任务的 Calibre / Okular 截图真实性。")
for k in rubric:
s[k] = float(vlm.get(k, 0.0) or 0.0)
except Exception:
pass
# GUI hard-gate sub-scores: trajectory diversity + chrome OCR + window geometry
import hashlib
gui_shot_paths = [p for p in all_shots if p.exists()]
if len(gui_shot_paths) >= 4:
hashes = set(hashlib.md5(p.read_bytes()).hexdigest() for p in gui_shot_paths)
gui_diversity = len(hashes) / max(1, len(gui_shot_paths))
else:
gui_diversity = 0.0
# tighten: require ≥ 0.9 unique for full credit
s["gui_real_interaction"] = 1.0 if gui_diversity >= 0.9 else (0.5 if gui_diversity >= 0.6 else 0.0)
geom_hits = 0
if Image and gui_shot_paths:
for p in gui_shot_paths:
try:
w, h = Image.open(p).size
if w >= 1280 and h >= 720:
geom_hits += 1
except Exception:
pass
s["gui_window_geometry"] = min(1.0, geom_hits / max(3.0, len(gui_shot_paths) * 0.6))
else:
s["gui_window_geometry"] = 0.0
chrome_kws = ["Calibre", "Edit Book", "Check Book", "Okular", "Table of Contents",
"Metadata", "Library", "Bookmarks", "ebook-viewer"]
chrome_hits = 0
if pytesseract and Image and gui_shot_paths:
for p in gui_shot_paths:
try:
tx = pytesseract.image_to_string(Image.open(p))
if sum(1 for k in chrome_kws if k.lower() in tx.lower()) >= 2:
chrome_hits += 1
except Exception:
pass
s["gui_chrome_ocr"] = min(1.0, chrome_hits / max(3.0, len(gui_shot_paths) * 0.5))
else:
s["gui_chrome_ocr"] = 0.0
# Triple-gate anti-cheat composite: md5-unique × resolution-ok × ocr-hit must all hold
triple_pass = 0
if Image and pytesseract and gui_shot_paths:
seen_md5 = {}
for p in gui_shot_paths:
try:
md5 = hashlib.md5(p.read_bytes()).hexdigest()
w, h = Image.open(p).size
tx = pytesseract.image_to_string(Image.open(p))
ok_unique = seen_md5.setdefault(md5, p) == p
ok_res = (w >= 1280 and h >= 720)
ok_ocr = any(k.lower() in tx.lower() for k in chrome_kws)
if ok_unique and ok_res and ok_ocr:
triple_pass += 1
except Exception:
pass
triple_ratio = triple_pass / max(1, len(gui_shot_paths))
# Aggregate — weighted by group instead of flat mean to reflect task focus.
core_keys = [
"initial_log_present", "initial_summary_schema", "initial_error_count",
"xmllint_log", "missing_assets",
"zip_audit_initial", "nav_spine_diff",
"mid_epubcheck", "zip_audit_fixed",
"pdf_exists", "pdf_pages",
"final_errors_low", "error_reduction",
"report_length", "report_has_table",
]
gui_keys = [
"edit_book_screenshots", "viewer_initial_screenshots",
"viewer_fixed_screenshots", "okular_screenshots",
"screenshots_count", "screenshot_ocr",
"gui_real_interaction", "gui_chrome_ocr", "gui_window_geometry",
"vlm_calibre_visible", "vlm_edit_book_real",
"vlm_fix_evidence", "vlm_okular_pdf",
]
aux_keys = ["cross_channel"]
def _avg(keys):
vs = [s[k] for k in keys if isinstance(s.get(k), (int, float))]
return sum(vs) / len(vs) if vs else 0.0
core_score = _avg(core_keys)
gui_score = _avg(gui_keys)
aux_score = _avg(aux_keys)
base = 0.5 * core_score + 0.35 * gui_score + 0.15 * aux_score
# Hard gates (tightened)
if not has_cli:
base = min(base, 0.35)
if not has_gui:
base = min(base, 0.35)
if s["pdf_exists"] == 0 and s["mid_epubcheck"] == 0:
base = min(base, 0.45)
# Core deliverable gates: missing fixed-EPUB OR missing reduction → cap 0.4
if s["final_errors_low"] < 0.5 or s["error_reduction"] < 0.5:
base = min(base, 0.4)
# GUI real-interaction hard gate: pure CLI / replicated shots cannot exceed 0.35
if s.get("gui_real_interaction", 0) < 0.5:
base = min(base, 0.35)
# Chrome OCR raised: <0.5 caps at 0.4 (was <0.3 cap 0.5)
if s.get("gui_chrome_ocr", 0) < 0.5:
base = min(base, 0.4)
# Triple anti-cheat gate: < 50% truly real screenshots → cap 0.5
if triple_ratio < 0.5:
base = min(base, 0.5)
# VLM unavailable / all 0 → cap 0.6 (cannot get full credit purely on heuristics)
vlm_keys = ["vlm_calibre_visible", "vlm_edit_book_real", "vlm_fix_evidence", "vlm_okular_pdf"]
if vlm_score_rubric is None or all(s.get(k, 0) == 0 for k in vlm_keys):
base = min(base, 0.6)
s["overall_score"] = round(base, 3)
return s
Workspace Path
workspace/DOC/task_1_epub_validation_repair
Skills
epubcheck, unzip/zip, xmllint, Calibre Viewer, Calibre Edit Book (ebook-edit), ebook-convert, Okular, pdfinfo, pytesseract OCR
Env
Warmup
echo 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 | base64 -d | bash