159 lines
5.6 KiB
Python
159 lines
5.6 KiB
Python
"""按完整目录读取当前稿用于回看；疑点交回逐章改稿入口。"""
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from uuid import NAMESPACE_URL, uuid5
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from muse.交付连载.文字校对 import 文字疑点
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from muse.交付连载.模型 import 交付错误, 全书修订
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from muse.作品规划.接口 import 读取作品范围
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from muse.正式变更.接口 import 作者动作, 固定哈希, 审阅内容, 提交计划
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from muse.正文写作.接口 import (
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准备派生候选,
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可见文本,
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应用选段,
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批量读取当前正文依据,
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段落哈希,
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段落文本,
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读取正文依据,
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)
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def 读取全书数据(连, author, work_id):
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"""同事务批量获取目录与全书当前正文依据。"""
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directory = 读取作品范围(连, author, work_id)
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chapter_ids = [c["chapter_id"] for c in directory["chapters"]]
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body_map = 批量读取当前正文依据(连, author, work_id, chapter_ids)
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return directory, body_map
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def 整理全书工作面(work_id, directory, body_map, *, names=None, exceptions=()):
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"""纯内存整理工作面结构、段落偏移与文字疑点，不占用数据库连接。"""
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chapters, problems = [], []
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for chapter in directory["chapters"]:
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body = body_map.get(chapter["chapter_id"])
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if body is None:
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chapters.append({**chapter, "state": "missing", "revision": None})
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problems.append({"chapter_id": chapter["chapter_id"], "kind": "missing_body"})
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continue
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text = 可见文本(body["document"])
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state = "ready" if text.strip() else "empty"
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paragraphs, offset = [], 0
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for p in body["document"].paragraphs:
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value = 段落文本(p)
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paragraphs.append(
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{
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"paragraph_id": p.paragraph_id,
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"paragraph_hash": 段落哈希(p),
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"text": value,
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"start": offset,
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"end": offset + len(value),
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}
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)
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offset += len(value) + 1
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chapters.append(
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{
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**chapter,
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"state": state,
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"branch_id": "main",
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"revision": body["revision"],
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"document_hash": body["document_hash"],
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"text": text,
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"paragraph_locations": paragraphs,
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}
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)
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if state == "empty":
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problems.append({"chapter_id": chapter["chapter_id"], "kind": "empty_body"})
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findings = 文字疑点([c for c in chapters if c["revision"] is not None], names, exceptions)
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return {
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"work_id": work_id,
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"directory_revision": directory["revision"],
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"chapters": chapters,
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"problems": problems,
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"copyedit": findings,
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"can_freeze": bool(chapters) and not problems,
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"literary_status": "not_assessed",
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"review_scope": ["directory", "body_presence", "copyedit"],
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}
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def 全书工作面(连, author, work_id, *, names=None, exceptions=()):
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directory, body_map = 读取全书数据(连, author, work_id)
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return 整理全书工作面(work_id, directory, body_map, names=names, exceptions=exceptions)
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def 跨章候选身份(author, req, chapter):
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return str(
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uuid5(
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NAMESPACE_URL,
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"muse:B08:book-revision:"
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+ 固定哈希(
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[
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author,
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req.batch_id,
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chapter.chapter_id,
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chapter.branch_id,
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]
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),
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)
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)
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def _准备跨章(连, 身份, req):
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读取作品范围(连, 身份.作者, req.work_id)
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dependencies, operations = {}, []
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for selected in req.chapters:
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if not selected.patches:
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raise 交付错误("BOOK_REVISION_INVALID", "每个入选章须点名原文与修改")
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body = 读取正文依据(
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连,
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身份.作者,
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selected.chapter_id,
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selected.revision,
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分支=selected.branch_id,
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)
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if body["work_id"] != req.work_id or body["document_hash"] != selected.document_hash:
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raise 交付错误("SOURCE_STALE", "跨章修改的作品、原文或版本不一致")
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changed = 应用选段(body["document"], selected.patches)
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current, plan = 准备派生候选(
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连,
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身份,
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跨章候选身份(身份.作者, req, selected),
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selected.chapter_id,
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selected.branch_id,
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selected.revision,
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changed,
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)
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for ref in current.依赖:
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dependencies[(ref.种类, ref.对象ID)] = ref
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operations.extend(plan.操作)
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return tuple(dependencies.values()), tuple(operations)
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class 跨章修订入口:
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身份 = "B08.book_revision"
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请求类型 = 全书修订
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def 查看(self, 连, 身份, 命令):
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req = 命令.业务请求
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refs, _ = _准备跨章(连, 身份, req)
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target = 跨章候选身份(身份.作者, req, req.chapters[0])
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digest = 固定哈希(req)
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return 审阅内容(
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target,
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0,
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None,
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None,
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None,
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digest,
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None,
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None,
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digest,
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("candidates",),
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refs,
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)
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def 准备(self, 连, 身份, 命令, 当前):
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if 命令.动作 is not 作者动作.人工保存:
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raise 交付错误("BOOK_REVISION_INVALID", "跨章修改只生成作者可审候选")
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_, operations = _准备跨章(连, 身份, 命令.业务请求)
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return 提交计划(operations)
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