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Original

English
🇨🇳

Translation

Chinese

Query Knowledge

查询知识库

Search the FPF knowledge base and display hypothesis details with assurance information.
搜索FPF知识库并显示带有可信度信息的假设详情。

Action (Run-Time)

运行时操作

  1. Search 
    .fpf/knowledge/
    and 
    .fpf/decisions/
    by user query.
  2. For each found hypothesis, display:
    • Basic info: title, layer (L0/L1/L2), kind, scope
    • If layer >= L1: read audit section for R_eff
    • If has dependencies: show dependency graph
    • Evidence summary if exists
  3. Present results in table format.
  1. 搜索：根据用户查询检索
    .fpf/knowledge/
    和
    .fpf/decisions/
    目录。
  2. 针对每个找到的假设，展示：
    • 基础信息：标题、层级（L0/L1/L2）、类型、适用范围
    • 若层级 >= L1：读取审计部分获取R_eff值
    • 若存在依赖关系：展示依赖图
    • 若存在证据：展示证据摘要
  3. 以表格形式呈现结果。

Search Locations

搜索位置

LocationContents
.fpf/knowledge/L0/
Proposed hypotheses
.fpf/knowledge/L1/
Verified hypotheses
.fpf/knowledge/L2/
Validated hypotheses
.fpf/knowledge/invalid/
Rejected hypotheses
.fpf/decisions/
Design Rationale Records
.fpf/evidence/
Evidence and audit files
位置内容
.fpf/knowledge/L0/
待验证假设
.fpf/knowledge/L1/
已验证假设
.fpf/knowledge/L2/
已确认假设
.fpf/knowledge/invalid/
已否决假设
.fpf/decisions/
设计依据记录（DRR）
.fpf/evidence/
证据与审计文件

Output Format

输出格式

markdown
undefined
markdown
undefined

Search Results for "<query>"

「<query>」的搜索结果

Hypotheses Found

找到的假设

HypothesisLayerKindR_eff
redis-cachingL2system0.85
cdn-edgeL2system0.72
假设ID层级类型R_eff
redis-cachingL2system0.85
cdn-edgeL2system0.72

redis-caching (L2)

redis-caching (L2)

Title: Use Redis for Caching Kind: system Scope: High-load systems, Linux only
R_eff: 0.85 Weakest Link: internal test (0.85)
Dependencies:
[redis-caching R:0.85]
  └── (no dependencies)
Evidence:
  • ev-benchmark-redis-caching-2025-01-15 (internal, PASS)
标题：使用Redis实现缓存 类型：system 适用范围：高负载系统，仅支持Linux
R_eff：0.85 最弱环节：内部测试（0.85）
依赖关系：
[redis-caching R:0.85]
  └── (无依赖)
证据：
  • ev-benchmark-redis-caching-2025-01-15（内部，通过）

cdn-edge (L2)

cdn-edge (L2)

Title: Use CDN Edge Cache Kind: system Scope: Static content delivery
R_eff: 0.72 Weakest Link: external docs (CL1 penalty)
Evidence:
  • ev-research-cdn-2025-01-10 (external, PASS)
undefined
标题：使用CDN边缘缓存 类型：system 适用范围：静态内容分发
R_eff：0.72 最弱环节：外部文档（CL1惩罚）
证据：
  • ev-research-cdn-2025-01-10（外部，通过）
undefined

Search Methods

搜索方式

By Keyword

关键词搜索

Search file contents for matching text:
/fpf:query caching
-> Finds all hypotheses with "caching" in title or content
在文件内容中搜索匹配文本：
/fpf:query caching
-> 查找所有标题或内容包含"caching"的假设

By Specific ID

特定ID查询

Look up a specific hypothesis:
/fpf:query redis-caching
-> Shows full details for redis-caching
-> Displays dependency tree
-> Shows R_eff breakdown
查找特定假设：
/fpf:query redis-caching
-> 展示redis-caching的完整详情
-> 显示依赖树
-> 展示R_eff细分数据

By Layer

按层级筛选

Filter by knowledge layer:
/fpf:query L2
-> Lists all L2 hypotheses with R_eff scores
按知识层级筛选：
/fpf:query L2
-> 列出所有带有R_eff分数的L2假设

By Decision

按决策记录搜索

Search decision records:
/fpf:query DRR
-> Lists all Design Rationale Records
-> Shows what each DRR selected/rejected
搜索决策记录：
/fpf:query DRR
-> 列出所有设计依据记录（DRR）
-> 展示每条DRR选中/否决的内容

R_eff Display

R_eff展示

For L1+ hypotheses, read the audit section and display:
markdown
**R_eff Breakdown**:
- Self Score: 1.00
- Weakest Link: ev-research-redis (0.90)
- Dependency Penalty: none
- **Final R_eff**: 0.85
对于L1及以上层级的假设，读取审计部分并展示：
markdown
**R_eff细分**：
- 自评分：1.00
- 最弱环节：ev-research-redis（0.90）
- 依赖惩罚：无
- **最终R_eff**：0.85

Dependency Tree Display

依赖树展示

If hypothesis has 
depends_on
, show the tree:
[api-gateway R:0.80]
  └──(CL:3)── [auth-module R:0.85]
  └──(CL:2)── [rate-limiter R:0.90]
Legend:
  • R:X.XX
    = R_eff score
  • CL:N
    = Congruence Level (1-3)
若假设包含
depends_on
字段，展示依赖树：
[api-gateway R:0.80]
  └──(CL:3)── [auth-module R:0.85]
  └──(CL:2)── [rate-limiter R:0.90]
图例：
  • R:X.XX
    = R_eff分数
  • CL:N
    = 一致性等级（1-3）

Examples

示例

Search by keyword:
User: /fpf:query caching

Results:
| Hypothesis | Layer | R_eff |
|------------|-------|-------|
| redis-caching | L2 | 0.85 |
| cdn-edge-cache | L2 | 0.72 |
| lru-cache | invalid | N/A |
Query specific hypothesis:
User: /fpf:query redis-caching
关键词搜索：
用户：/fpf:query caching

结果：
| 假设ID | 层级 | R_eff |
|------------|-------|-------|
| redis-caching | L2 | 0.85 |
| cdn-edge-cache | L2 | 0.72 |
| lru-cache | invalid | N/A |
特定假设查询：
用户：/fpf:query redis-caching

redis-caching (L2)

redis-caching (L2)

Title: Use Redis for Caching Kind: system Scope: High-load systems R_eff: 0.85 Evidence: 2 files

**Query decisions:**
User: /fpf:query DRR
标题：使用Redis实现缓存 类型：system 适用范围：高负载系统 R_eff：0.85 证据：2个文件

**决策记录查询：**
用户：/fpf:query DRR

Design Rationale Records

设计依据记录

DRRDateWinnerRejected
DRR-2025-01-15-caching2025-01-15redis-cachingcdn-edge
undefined
DRR编号日期选中方案否决方案
DRR-2025-01-15-caching2025-01-15redis-cachingcdn-edge
undefined