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ragflow/rag/prompts/assign_toc_levels.md
Jack f0cb7a544b Refactor: Task Executor (#15154)
### What problem does this PR solve?

1. Break huge function into smaller pieces
2. Add unit test for the smaller pieces function
3. Layer-ed design
a. infra layer - task_context.py, recording_context.py,
write_operation_interceptor.py, ...
    b. service layer - *_service.py
    c. business layer - task_handler.py
4. Default behavior: use "refactor-ed version" - can switch to original
version by change env variable

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
- [x] Performance Improvement

---------

Co-authored-by: Liu An <asiro@qq.com>
Co-authored-by: Zhichang Yu <yuzhichang@gmail.com>
2026-05-27 21:54:17 +08:00

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2.0 KiB
Markdown

You are given a JSON array of TOC(table of contents) items. Each item has at least {"title": string} and may include an existing title hierarchical level.
Task
- For each item, assign a depth label using Arabic numerals only: top-level = 1, second-level = 2, third-level = 3, etc.
- Multiple items may share the same depth (e.g., many 1s, many 2s).
- Do not use dotted numbering (no 1.1/1.2). Use a single digit string per item indicating its depth only.
- Preserve the original item order exactly. Do not insert, delete, or reorder.
- Decide levels yourself to keep a coherent hierarchy. Keep peers at the same depth.
Output
- Return a valid JSON array only (no extra text, no markdown code blocks).
- Each element MUST be a JSON object with exactly this structure: {"level": "1", "title": "some title"}.
- title must be the original title string exactly.
- DO NOT return arrays of arrays like [["1", "title"]] or other formats.
- The output must be parseable by json.loads() directly.
Examples
Example A (chapters with sections)
Input:
["Chapter 1 Methods", "Section 1 Definition", "Section 2 Process", "Chapter 2 Experiment"]
Output:
[
{"level":"1","title":"Chapter 1 Methods"},
{"level":"2","title":"Section 1 Definition"},
{"level":"2","title":"Section 2 Process"},
{"level":"1","title":"Chapter 2 Experiment"}
]
Example B (parts with chapters)
Input:
["Part I Theory", "Chapter 1 Basics", "Chapter 2 Methods", "Part II Applications", "Chapter 3 Case Studies"]
Output:
[
{"level":"1","title":"Part I Theory"},
{"level":"2","title":"Chapter 1 Basics"},
{"level":"2","title":"Chapter 2 Methods"},
{"level":"1","title":"Part II Applications"},
{"level":"2","title":"Chapter 3 Case Studies"}
]
Example C (plain headings)
Input:
["Introduction", "Background and Motivation", "Related Work", "Methodology", "Evaluation"]
Output:
[
{"level":"1","title":"Introduction"},
{"level":"2","title":"Background and Motivation"},
{"level":"2","title":"Related Work"},
{"level":"1","title":"Methodology"},
{"level":"1","title":"Evaluation"}
]