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Indexing gap: reference

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评估

难度
4/5
预计耗时
3-5 天
新手友好度
25/100
Issue 类型
缺陷
描述清晰度
基本清楚
活跃度
活跃
技术栈
c, css, html, markdown

调研方向

The payload names only index_status and its parse_partial ranges, so start by reproducing the three constructs in a small HTML, CSS and markdown file and checking which ranges get flagged. The bare & and > in <title> and <p> text, the trailing comma in a CSS selector list, and the unbalanced markdown table pipes are the cases to test. Done means these inputs index without recovery, or the remaining gaps are explained and covered by tests.

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描述

editor/integration

codebase-memory-mcp reports a best-effort indexing gap for the project Users-gautamparab-Documents-antigravity-decisionnew. index_status lists 32 files with parse_partial ranges. 27 are HTML files under one reference folder, 2 are markdown files, and 1 is a CSS file. No code is included; the failing constructs are described below.

Three kinds of construct fail to parse:

  1. Bare & and > in HTML text and titles. Examples: a <title> containing Benchmarks & ..., <div class="eyebrow"> text containing &, and <text> or <p> content containing >3 times?, S×O > 40. The flagged lines are title, eyebrow, heading and paragraph text, not attributes.
  2. A CSS selector list with a trailing comma before the closing brace, e.g. .x span:not(:first-child), }. This is invalid CSS, so the parser recovers at that point.
  3. Markdown table rows with unbalanced pipes, including two rows joined on one line and cells containing |. The parser recovers mid-table.

Impact: the flagged lines may be missing from the graph; the rest of each file is indexed. The affected files are mostly reference examples, so the impact on code search is small. The coverage note says the signal is best-effort, which matches this output.

Environment: codebase-memory-mcp version as installed on macOS (Darwin 25.6.0). Index status shows status: ready with 453,028 nodes and 470,027 edges.

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C
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3 天 16 小时
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从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

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