fix: 修复遗漏的 backend-single 引用(Java源码/前端注释/配置文件/IDE配置)

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type: "always_apply"
---
# 项目开发规则
## 基础设置
1. 保持对话语言为中文
2. 不允许在未经允许的情况下删除代码和文件,不允许破坏已经正常的业务代码
3. 执行终端命令时要关注执行情况,避免无效等待
## 代码规范
4. 生成代码时必须添加类级和函数级注释
5. 使用import导包,禁止使用全限定名称引用类
6. 禁止使用枚举类型作为entity、request、response、dto对象的字段类型,禁止以枚举类作为方法的入参,确保接口的通用性和可扩展性
7. 新增数据的id使用已存在的雪花算法生成器生成
## 架构规范
8. 所有开发必须遵循当前项目规范
9. Controller层禁止添加业务逻辑
10. 使用全局异常处理,禁止使用try-catch
11. 前端接口访问尽可能走网关调用
## 接口设计规范
12. Controller层接口定义要完整:
- 入参使用request封装传递到service层
- service层的方法命名与controller层定义的接口的方法名称保持一致
- 出参使用response封装由service层传递到controller层
- 禁止在controller层做entity/domain对象与request/response的转换
- 使用项目已有的Result做接口返回
13. 接口和方法参数不允许超过两个,超过时使用request或DTO对象封装
14. Controller层路由禁止添加/api前缀
15. Controller层接口的Mapping注解value属性值不允许重复且不允许为空,必须明确指定value属性值且使用驼峰结构命名,避免使用下划线分隔符。所有接口注解必须显式指定value属性,如@GetMapping(value = "/page")、@PostMapping(value = "/create")等,禁止使用@GetMapping()或@PostMapping等空注解形式
16. 用户相关接口禁止直接传递用户id,需要后端根据token获取当前登录用户信息
17. 禁止使用/{param}格式的路径参数,避免网关路由冲突和分发错误
18. 路径参数统一使用@RequestParam而非@PathVariable,确保网关分发准确性
19. 接口路径命名应具有明确的语义,避免使用通用词汇如/get、/list等
20. 批量操作接口应使用专门的Request对象封装参数,而非直接传递List
21. 接口路径应避免层级过深,建议不超过3级路径结构
22. 更新操作应直接使用封装了ID和其他数据的Request对象,而不是单独传递ID参数。Service层方法应保持参数简洁,业务逻辑所需数据应全部包含在Request对象中
23. Controller层接口应保持简洁,避免为特定字段创建独立的更新方法(如updateStatus等),应只保留一个通用的update方法,具体的业务逻辑在Service层实现
24. Service层在执行更新操作时,应对每个字段进行空值检查,只更新非空字段,避免空字段覆盖原有值,确保数据完整性
25. Controller层应避免创建多个特定条件的查询接口,只保留一个分页查询方法,通过在请求对象中包含所有可查询字段来支持不同的查询需求
26. 分页查询接口应支持模糊查询和精确查询,通过在Service层根据字段类型和业务需求判断查询方式
## 环境配置
27. 为不同环境(local、dev、prod)创建单独配置文件,部署时通过参数选择
28. 启动服务时禁止擅自修改端口号,使用配置文件中的端口设置
## 数据库规范
29. 所有数据表必须包含创建时间(create_time)和更新时间(update_time)字段
30. 删除操作优先使用逻辑删除,添加deleted字段标识
31. 数据库字段命名使用下划线分隔,Java实体类使用驼峰命名
32. 优先使用LambdaQueryWrapper构造条件查询,避免硬编码字段名
33. 使用Lambda表达式引用实体类属性,提高代码可维护性和类型安全
34. 复杂查询条件应使用LambdaQueryWrapper的链式调用,保持代码清晰
35. 避免在查询条件中使用字符串字段名,防止字段名变更导致的运行时错误
## 安全规范
36. 所有外部输入必须进行参数校验
37. 敏感信息不得在日志中输出
38. 数据库操作必须使用参数化查询,防止SQL注入
## 性能规范
39. 避免N+1查询问题,合理使用批量查询
40. 大数据量查询必须分页处理
41. 缓存策略要考虑数据一致性问题
## 日志规范
42. 关键业务操作必须记录操作日志
43. 异常信息要包含足够的上下文信息
44. 生产环境禁止输出debug级别日志
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---
description: Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
---
## User Input
```text
$ARGUMENTS
```
You **MUST** consider the user input before proceeding (if not empty).
## Goal
Identify inconsistencies, duplications, ambiguities, and underspecified items across the three core artifacts (`spec.md`, `plan.md`, `tasks.md`) before implementation. This command MUST run only after `/speckit.tasks` has successfully produced a complete `tasks.md`.
## Operating Constraints
**STRICTLY READ-ONLY**: Do **not** modify any files. Output a structured analysis report. Offer an optional remediation plan (user must explicitly approve before any follow-up editing commands would be invoked manually).
**Constitution Authority**: The project constitution (`.specify/memory/constitution.md`) is **non-negotiable** within this analysis scope. Constitution conflicts are automatically CRITICAL and require adjustment of the spec, plan, or tasks—not dilution, reinterpretation, or silent ignoring of the principle. If a principle itself needs to change, that must occur in a separate, explicit constitution update outside `/speckit.analyze`.
## Execution Steps
### 1. Initialize Analysis Context
Run `.specify/scripts/bash/check-prerequisites.sh --json --require-tasks --include-tasks` once from repo root and parse JSON for FEATURE_DIR and AVAILABLE_DOCS. Derive absolute paths:
- SPEC = FEATURE_DIR/spec.md
- PLAN = FEATURE_DIR/plan.md
- TASKS = FEATURE_DIR/tasks.md
Abort with an error message if any required file is missing (instruct the user to run missing prerequisite command).
For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot").
### 2. Load Artifacts (Progressive Disclosure)
Load only the minimal necessary context from each artifact:
**From spec.md:**
- Overview/Context
- Functional Requirements
- Non-Functional Requirements
- User Stories
- Edge Cases (if present)
**From plan.md:**
- Architecture/stack choices
- Data Model references
- Phases
- Technical constraints
**From tasks.md:**
- Task IDs
- Descriptions
- Phase grouping
- Parallel markers [P]
- Referenced file paths
**From constitution:**
- Load `.specify/memory/constitution.md` for principle validation
### 3. Build Semantic Models
Create internal representations (do not include raw artifacts in output):
- **Requirements inventory**: Each functional + non-functional requirement with a stable key (derive slug based on imperative phrase; e.g., "User can upload file" → `user-can-upload-file`)
- **User story/action inventory**: Discrete user actions with acceptance criteria
- **Task coverage mapping**: Map each task to one or more requirements or stories (inference by keyword / explicit reference patterns like IDs or key phrases)
- **Constitution rule set**: Extract principle names and MUST/SHOULD normative statements
### 4. Detection Passes (Token-Efficient Analysis)
Focus on high-signal findings. Limit to 50 findings total; aggregate remainder in overflow summary.
#### A. Duplication Detection
- Identify near-duplicate requirements
- Mark lower-quality phrasing for consolidation
#### B. Ambiguity Detection
- Flag vague adjectives (fast, scalable, secure, intuitive, robust) lacking measurable criteria
- Flag unresolved placeholders (TODO, TKTK, ???, `<placeholder>`, etc.)
#### C. Underspecification
- Requirements with verbs but missing object or measurable outcome
- User stories missing acceptance criteria alignment
- Tasks referencing files or components not defined in spec/plan
#### D. Constitution Alignment
- Any requirement or plan element conflicting with a MUST principle
- Missing mandated sections or quality gates from constitution
#### E. Coverage Gaps
- Requirements with zero associated tasks
- Tasks with no mapped requirement/story
- Non-functional requirements not reflected in tasks (e.g., performance, security)
#### F. Inconsistency
- Terminology drift (same concept named differently across files)
- Data entities referenced in plan but absent in spec (or vice versa)
- Task ordering contradictions (e.g., integration tasks before foundational setup tasks without dependency note)
- Conflicting requirements (e.g., one requires Next.js while other specifies Vue)
### 5. Severity Assignment
Use this heuristic to prioritize findings:
- **CRITICAL**: Violates constitution MUST, missing core spec artifact, or requirement with zero coverage that blocks baseline functionality
- **HIGH**: Duplicate or conflicting requirement, ambiguous security/performance attribute, untestable acceptance criterion
- **MEDIUM**: Terminology drift, missing non-functional task coverage, underspecified edge case
- **LOW**: Style/wording improvements, minor redundancy not affecting execution order
### 6. Produce Compact Analysis Report
Output a Markdown report (no file writes) with the following structure:
## Specification Analysis Report
| ID | Category | Severity | Location(s) | Summary | Recommendation |
|----|----------|----------|-------------|---------|----------------|
| A1 | Duplication | HIGH | spec.md:L120-134 | Two similar requirements ... | Merge phrasing; keep clearer version |
(Add one row per finding; generate stable IDs prefixed by category initial.)
**Coverage Summary Table:**
| Requirement Key | Has Task? | Task IDs | Notes |
|-----------------|-----------|----------|-------|
**Constitution Alignment Issues:** (if any)
**Unmapped Tasks:** (if any)
**Metrics:**
- Total Requirements
- Total Tasks
- Coverage % (requirements with >=1 task)
- Ambiguity Count
- Duplication Count
- Critical Issues Count
### 7. Provide Next Actions
At end of report, output a concise Next Actions block:
- If CRITICAL issues exist: Recommend resolving before `/speckit.implement`
- If only LOW/MEDIUM: User may proceed, but provide improvement suggestions
- Provide explicit command suggestions: e.g., "Run /speckit.specify with refinement", "Run /speckit.plan to adjust architecture", "Manually edit tasks.md to add coverage for 'performance-metrics'"
### 8. Offer Remediation
Ask the user: "Would you like me to suggest concrete remediation edits for the top N issues?" (Do NOT apply them automatically.)
## Operating Principles
### Context Efficiency
- **Minimal high-signal tokens**: Focus on actionable findings, not exhaustive documentation
- **Progressive disclosure**: Load artifacts incrementally; don't dump all content into analysis
- **Token-efficient output**: Limit findings table to 50 rows; summarize overflow
- **Deterministic results**: Rerunning without changes should produce consistent IDs and counts
### Analysis Guidelines
- **NEVER modify files** (this is read-only analysis)
- **NEVER hallucinate missing sections** (if absent, report them accurately)
- **Prioritize constitution violations** (these are always CRITICAL)
- **Use examples over exhaustive rules** (cite specific instances, not generic patterns)
- **Report zero issues gracefully** (emit success report with coverage statistics)
## Context
$ARGUMENTS
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---
description: Generate a custom checklist for the current feature based on user requirements.
---
## Checklist Purpose: "Unit Tests for English"
**CRITICAL CONCEPT**: Checklists are **UNIT TESTS FOR REQUIREMENTS WRITING** - they validate the quality, clarity, and completeness of requirements in a given domain.
**NOT for verification/testing**:
- ❌ NOT "Verify the button clicks correctly"
- ❌ NOT "Test error handling works"
- ❌ NOT "Confirm the API returns 200"
- ❌ NOT checking if code/implementation matches the spec
**FOR requirements quality validation**:
- ✅ "Are visual hierarchy requirements defined for all card types?" (completeness)
- ✅ "Is 'prominent display' quantified with specific sizing/positioning?" (clarity)
- ✅ "Are hover state requirements consistent across all interactive elements?" (consistency)
- ✅ "Are accessibility requirements defined for keyboard navigation?" (coverage)
- ✅ "Does the spec define what happens when logo image fails to load?" (edge cases)
**Metaphor**: If your spec is code written in English, the checklist is its unit test suite. You're testing whether the requirements are well-written, complete, unambiguous, and ready for implementation - NOT whether the implementation works.
## User Input
```text
$ARGUMENTS
```
You **MUST** consider the user input before proceeding (if not empty).
## Execution Steps
1. **Setup**: Run `.specify/scripts/bash/check-prerequisites.sh --json` from repo root and parse JSON for FEATURE_DIR and AVAILABLE_DOCS list.
- All file paths must be absolute.
- For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot").
2. **Clarify intent (dynamic)**: Derive up to THREE initial contextual clarifying questions (no pre-baked catalog). They MUST:
- Be generated from the user's phrasing + extracted signals from spec/plan/tasks
- Only ask about information that materially changes checklist content
- Be skipped individually if already unambiguous in `$ARGUMENTS`
- Prefer precision over breadth
Generation algorithm:
1. Extract signals: feature domain keywords (e.g., auth, latency, UX, API), risk indicators ("critical", "must", "compliance"), stakeholder hints ("QA", "review", "security team"), and explicit deliverables ("a11y", "rollback", "contracts").
2. Cluster signals into candidate focus areas (max 4) ranked by relevance.
3. Identify probable audience & timing (author, reviewer, QA, release) if not explicit.
4. Detect missing dimensions: scope breadth, depth/rigor, risk emphasis, exclusion boundaries, measurable acceptance criteria.
5. Formulate questions chosen from these archetypes:
- Scope refinement (e.g., "Should this include integration touchpoints with X and Y or stay limited to local module correctness?")
- Risk prioritization (e.g., "Which of these potential risk areas should receive mandatory gating checks?")
- Depth calibration (e.g., "Is this a lightweight pre-commit sanity list or a formal release gate?")
- Audience framing (e.g., "Will this be used by the author only or peers during PR review?")
- Boundary exclusion (e.g., "Should we explicitly exclude performance tuning items this round?")
- Scenario class gap (e.g., "No recovery flows detected—are rollback / partial failure paths in scope?")
Question formatting rules:
- If presenting options, generate a compact table with columns: Option | Candidate | Why It Matters
- Limit to AE options maximum; omit table if a free-form answer is clearer
- Never ask the user to restate what they already said
- Avoid speculative categories (no hallucination). If uncertain, ask explicitly: "Confirm whether X belongs in scope."
Defaults when interaction impossible:
- Depth: Standard
- Audience: Reviewer (PR) if code-related; Author otherwise
- Focus: Top 2 relevance clusters
Output the questions (label Q1/Q2/Q3). After answers: if ≥2 scenario classes (Alternate / Exception / Recovery / Non-Functional domain) remain unclear, you MAY ask up to TWO more targeted followups (Q4/Q5) with a one-line justification each (e.g., "Unresolved recovery path risk"). Do not exceed five total questions. Skip escalation if user explicitly declines more.
3. **Understand user request**: Combine `$ARGUMENTS` + clarifying answers:
- Derive checklist theme (e.g., security, review, deploy, ux)
- Consolidate explicit must-have items mentioned by user
- Map focus selections to category scaffolding
- Infer any missing context from spec/plan/tasks (do NOT hallucinate)
4. **Load feature context**: Read from FEATURE_DIR:
- spec.md: Feature requirements and scope
- plan.md (if exists): Technical details, dependencies
- tasks.md (if exists): Implementation tasks
**Context Loading Strategy**:
- Load only necessary portions relevant to active focus areas (avoid full-file dumping)
- Prefer summarizing long sections into concise scenario/requirement bullets
- Use progressive disclosure: add follow-on retrieval only if gaps detected
- If source docs are large, generate interim summary items instead of embedding raw text
5. **Generate checklist** - Create "Unit Tests for Requirements":
- Create `FEATURE_DIR/checklists/` directory if it doesn't exist
- Generate unique checklist filename:
- Use short, descriptive name based on domain (e.g., `ux.md`, `api.md`, `security.md`)
- Format: `[domain].md`
- If file exists, append to existing file
- Number items sequentially starting from CHK001
- Each `/speckit.checklist` run creates a NEW file (never overwrites existing checklists)
**CORE PRINCIPLE - Test the Requirements, Not the Implementation**:
Every checklist item MUST evaluate the REQUIREMENTS THEMSELVES for:
- **Completeness**: Are all necessary requirements present?
- **Clarity**: Are requirements unambiguous and specific?
- **Consistency**: Do requirements align with each other?
- **Measurability**: Can requirements be objectively verified?
- **Coverage**: Are all scenarios/edge cases addressed?
**Category Structure** - Group items by requirement quality dimensions:
- **Requirement Completeness** (Are all necessary requirements documented?)
- **Requirement Clarity** (Are requirements specific and unambiguous?)
- **Requirement Consistency** (Do requirements align without conflicts?)
- **Acceptance Criteria Quality** (Are success criteria measurable?)
- **Scenario Coverage** (Are all flows/cases addressed?)
- **Edge Case Coverage** (Are boundary conditions defined?)
- **Non-Functional Requirements** (Performance, Security, Accessibility, etc. - are they specified?)
- **Dependencies & Assumptions** (Are they documented and validated?)
- **Ambiguities & Conflicts** (What needs clarification?)
**HOW TO WRITE CHECKLIST ITEMS - "Unit Tests for English"**:
**WRONG** (Testing implementation):
- "Verify landing page displays 3 episode cards"
- "Test hover states work on desktop"
- "Confirm logo click navigates home"
**CORRECT** (Testing requirements quality):
- "Are the exact number and layout of featured episodes specified?" [Completeness]
- "Is 'prominent display' quantified with specific sizing/positioning?" [Clarity]
- "Are hover state requirements consistent across all interactive elements?" [Consistency]
- "Are keyboard navigation requirements defined for all interactive UI?" [Coverage]
- "Is the fallback behavior specified when logo image fails to load?" [Edge Cases]
- "Are loading states defined for asynchronous episode data?" [Completeness]
- "Does the spec define visual hierarchy for competing UI elements?" [Clarity]
**ITEM STRUCTURE**:
Each item should follow this pattern:
- Question format asking about requirement quality
- Focus on what's WRITTEN (or not written) in the spec/plan
- Include quality dimension in brackets [Completeness/Clarity/Consistency/etc.]
- Reference spec section `[Spec §X.Y]` when checking existing requirements
- Use `[Gap]` marker when checking for missing requirements
**EXAMPLES BY QUALITY DIMENSION**:
Completeness:
- "Are error handling requirements defined for all API failure modes? [Gap]"
- "Are accessibility requirements specified for all interactive elements? [Completeness]"
- "Are mobile breakpoint requirements defined for responsive layouts? [Gap]"
Clarity:
- "Is 'fast loading' quantified with specific timing thresholds? [Clarity, Spec §NFR-2]"
- "Are 'related episodes' selection criteria explicitly defined? [Clarity, Spec §FR-5]"
- "Is 'prominent' defined with measurable visual properties? [Ambiguity, Spec §FR-4]"
Consistency:
- "Do navigation requirements align across all pages? [Consistency, Spec §FR-10]"
- "Are card component requirements consistent between landing and detail pages? [Consistency]"
Coverage:
- "Are requirements defined for zero-state scenarios (no episodes)? [Coverage, Edge Case]"
- "Are concurrent user interaction scenarios addressed? [Coverage, Gap]"
- "Are requirements specified for partial data loading failures? [Coverage, Exception Flow]"
Measurability:
- "Are visual hierarchy requirements measurable/testable? [Acceptance Criteria, Spec §FR-1]"
- "Can 'balanced visual weight' be objectively verified? [Measurability, Spec §FR-2]"
**Scenario Classification & Coverage** (Requirements Quality Focus):
- Check if requirements exist for: Primary, Alternate, Exception/Error, Recovery, Non-Functional scenarios
- For each scenario class, ask: "Are [scenario type] requirements complete, clear, and consistent?"
- If scenario class missing: "Are [scenario type] requirements intentionally excluded or missing? [Gap]"
- Include resilience/rollback when state mutation occurs: "Are rollback requirements defined for migration failures? [Gap]"
**Traceability Requirements**:
- MINIMUM: ≥80% of items MUST include at least one traceability reference
- Each item should reference: spec section `[Spec §X.Y]`, or use markers: `[Gap]`, `[Ambiguity]`, `[Conflict]`, `[Assumption]`
- If no ID system exists: "Is a requirement & acceptance criteria ID scheme established? [Traceability]"
**Surface & Resolve Issues** (Requirements Quality Problems):
Ask questions about the requirements themselves:
- Ambiguities: "Is the term 'fast' quantified with specific metrics? [Ambiguity, Spec §NFR-1]"
- Conflicts: "Do navigation requirements conflict between §FR-10 and §FR-10a? [Conflict]"
- Assumptions: "Is the assumption of 'always available podcast API' validated? [Assumption]"
- Dependencies: "Are external podcast API requirements documented? [Dependency, Gap]"
- Missing definitions: "Is 'visual hierarchy' defined with measurable criteria? [Gap]"
**Content Consolidation**:
- Soft cap: If raw candidate items > 40, prioritize by risk/impact
- Merge near-duplicates checking the same requirement aspect
- If >5 low-impact edge cases, create one item: "Are edge cases X, Y, Z addressed in requirements? [Coverage]"
**🚫 ABSOLUTELY PROHIBITED** - These make it an implementation test, not a requirements test:
- ❌ Any item starting with "Verify", "Test", "Confirm", "Check" + implementation behavior
- ❌ References to code execution, user actions, system behavior
- ❌ "Displays correctly", "works properly", "functions as expected"
- ❌ "Click", "navigate", "render", "load", "execute"
- ❌ Test cases, test plans, QA procedures
- ❌ Implementation details (frameworks, APIs, algorithms)
**✅ REQUIRED PATTERNS** - These test requirements quality:
- ✅ "Are [requirement type] defined/specified/documented for [scenario]?"
- ✅ "Is [vague term] quantified/clarified with specific criteria?"
- ✅ "Are requirements consistent between [section A] and [section B]?"
- ✅ "Can [requirement] be objectively measured/verified?"
- ✅ "Are [edge cases/scenarios] addressed in requirements?"
- ✅ "Does the spec define [missing aspect]?"
6. **Structure Reference**: Generate the checklist following the canonical template in `.specify/templates/checklist-template.md` for title, meta section, category headings, and ID formatting. If template is unavailable, use: H1 title, purpose/created meta lines, `##` category sections containing `- [ ] CHK### <requirement item>` lines with globally incrementing IDs starting at CHK001.
7. **Report**: Output full path to created checklist, item count, and remind user that each run creates a new file. Summarize:
- Focus areas selected
- Depth level
- Actor/timing
- Any explicit user-specified must-have items incorporated
**Important**: Each `/speckit.checklist` command invocation creates a checklist file using short, descriptive names unless file already exists. This allows:
- Multiple checklists of different types (e.g., `ux.md`, `test.md`, `security.md`)
- Simple, memorable filenames that indicate checklist purpose
- Easy identification and navigation in the `checklists/` folder
To avoid clutter, use descriptive types and clean up obsolete checklists when done.
## Example Checklist Types & Sample Items
**UX Requirements Quality:** `ux.md`
Sample items (testing the requirements, NOT the implementation):
- "Are visual hierarchy requirements defined with measurable criteria? [Clarity, Spec §FR-1]"
- "Is the number and positioning of UI elements explicitly specified? [Completeness, Spec §FR-1]"
- "Are interaction state requirements (hover, focus, active) consistently defined? [Consistency]"
- "Are accessibility requirements specified for all interactive elements? [Coverage, Gap]"
- "Is fallback behavior defined when images fail to load? [Edge Case, Gap]"
- "Can 'prominent display' be objectively measured? [Measurability, Spec §FR-4]"
**API Requirements Quality:** `api.md`
Sample items:
- "Are error response formats specified for all failure scenarios? [Completeness]"
- "Are rate limiting requirements quantified with specific thresholds? [Clarity]"
- "Are authentication requirements consistent across all endpoints? [Consistency]"
- "Are retry/timeout requirements defined for external dependencies? [Coverage, Gap]"
- "Is versioning strategy documented in requirements? [Gap]"
**Performance Requirements Quality:** `performance.md`
Sample items:
- "Are performance requirements quantified with specific metrics? [Clarity]"
- "Are performance targets defined for all critical user journeys? [Coverage]"
- "Are performance requirements under different load conditions specified? [Completeness]"
- "Can performance requirements be objectively measured? [Measurability]"
- "Are degradation requirements defined for high-load scenarios? [Edge Case, Gap]"
**Security Requirements Quality:** `security.md`
Sample items:
- "Are authentication requirements specified for all protected resources? [Coverage]"
- "Are data protection requirements defined for sensitive information? [Completeness]"
- "Is the threat model documented and requirements aligned to it? [Traceability]"
- "Are security requirements consistent with compliance obligations? [Consistency]"
- "Are security failure/breach response requirements defined? [Gap, Exception Flow]"
## Anti-Examples: What NOT To Do
**❌ WRONG - These test implementation, not requirements:**
```markdown
- [ ] CHK001 - Verify landing page displays 3 episode cards [Spec §FR-001]
- [ ] CHK002 - Test hover states work correctly on desktop [Spec §FR-003]
- [ ] CHK003 - Confirm logo click navigates to home page [Spec §FR-010]
- [ ] CHK004 - Check that related episodes section shows 3-5 items [Spec §FR-005]
```
**✅ CORRECT - These test requirements quality:**
```markdown
- [ ] CHK001 - Are the number and layout of featured episodes explicitly specified? [Completeness, Spec §FR-001]
- [ ] CHK002 - Are hover state requirements consistently defined for all interactive elements? [Consistency, Spec §FR-003]
- [ ] CHK003 - Are navigation requirements clear for all clickable brand elements? [Clarity, Spec §FR-010]
- [ ] CHK004 - Is the selection criteria for related episodes documented? [Gap, Spec §FR-005]
- [ ] CHK005 - Are loading state requirements defined for asynchronous episode data? [Gap]
- [ ] CHK006 - Can "visual hierarchy" requirements be objectively measured? [Measurability, Spec §FR-001]
```
**Key Differences:**
- Wrong: Tests if the system works correctly
- Correct: Tests if the requirements are written correctly
- Wrong: Verification of behavior
- Correct: Validation of requirement quality
- Wrong: "Does it do X?"
- Correct: "Is X clearly specified?"
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---
description: Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
handoffs:
- label: Build Technical Plan
agent: speckit.plan
prompt: Create a plan for the spec. I am building with...
---
## User Input
```text
$ARGUMENTS
```
You **MUST** consider the user input before proceeding (if not empty).
## Outline
Goal: Detect and reduce ambiguity or missing decision points in the active feature specification and record the clarifications directly in the spec file.
Note: This clarification workflow is expected to run (and be completed) BEFORE invoking `/speckit.plan`. If the user explicitly states they are skipping clarification (e.g., exploratory spike), you may proceed, but must warn that downstream rework risk increases.
Execution steps:
1. Run `.specify/scripts/bash/check-prerequisites.sh --json --paths-only` from repo root **once** (combined `--json --paths-only` mode / `-Json -PathsOnly`). Parse minimal JSON payload fields:
- `FEATURE_DIR`
- `FEATURE_SPEC`
- (Optionally capture `IMPL_PLAN`, `TASKS` for future chained flows.)
- If JSON parsing fails, abort and instruct user to re-run `/speckit.specify` or verify feature branch environment.
- For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot").
2. Load the current spec file. Perform a structured ambiguity & coverage scan using this taxonomy. For each category, mark status: Clear / Partial / Missing. Produce an internal coverage map used for prioritization (do not output raw map unless no questions will be asked).
Functional Scope & Behavior:
- Core user goals & success criteria
- Explicit out-of-scope declarations
- User roles / personas differentiation
Domain & Data Model:
- Entities, attributes, relationships
- Identity & uniqueness rules
- Lifecycle/state transitions
- Data volume / scale assumptions
Interaction & UX Flow:
- Critical user journeys / sequences
- Error/empty/loading states
- Accessibility or localization notes
Non-Functional Quality Attributes:
- Performance (latency, throughput targets)
- Scalability (horizontal/vertical, limits)
- Reliability & availability (uptime, recovery expectations)
- Observability (logging, metrics, tracing signals)
- Security & privacy (authN/Z, data protection, threat assumptions)
- Compliance / regulatory constraints (if any)
Integration & External Dependencies:
- External services/APIs and failure modes
- Data import/export formats
- Protocol/versioning assumptions
Edge Cases & Failure Handling:
- Negative scenarios
- Rate limiting / throttling
- Conflict resolution (e.g., concurrent edits)
Constraints & Tradeoffs:
- Technical constraints (language, storage, hosting)
- Explicit tradeoffs or rejected alternatives
Terminology & Consistency:
- Canonical glossary terms
- Avoided synonyms / deprecated terms
Completion Signals:
- Acceptance criteria testability
- Measurable Definition of Done style indicators
Misc / Placeholders:
- TODO markers / unresolved decisions
- Ambiguous adjectives ("robust", "intuitive") lacking quantification
For each category with Partial or Missing status, add a candidate question opportunity unless:
- Clarification would not materially change implementation or validation strategy
- Information is better deferred to planning phase (note internally)
3. Generate (internally) a prioritized queue of candidate clarification questions (maximum 5). Do NOT output them all at once. Apply these constraints:
- Maximum of 10 total questions across the whole session.
- Each question must be answerable with EITHER:
- A short multiplechoice selection (25 distinct, mutually exclusive options), OR
- A one-word / shortphrase answer (explicitly constrain: "Answer in <=5 words").
- Only include questions whose answers materially impact architecture, data modeling, task decomposition, test design, UX behavior, operational readiness, or compliance validation.
- Ensure category coverage balance: attempt to cover the highest impact unresolved categories first; avoid asking two low-impact questions when a single high-impact area (e.g., security posture) is unresolved.
- Exclude questions already answered, trivial stylistic preferences, or plan-level execution details (unless blocking correctness).
- Favor clarifications that reduce downstream rework risk or prevent misaligned acceptance tests.
- If more than 5 categories remain unresolved, select the top 5 by (Impact * Uncertainty) heuristic.
4. Sequential questioning loop (interactive):
- Present EXACTLY ONE question at a time.
- For multiplechoice questions:
- **Analyze all options** and determine the **most suitable option** based on:
- Best practices for the project type
- Common patterns in similar implementations
- Risk reduction (security, performance, maintainability)
- Alignment with any explicit project goals or constraints visible in the spec
- Present your **recommended option prominently** at the top with clear reasoning (1-2 sentences explaining why this is the best choice).
- Format as: `**Recommended:** Option [X] - <reasoning>`
- Then render all options as a Markdown table:
| Option | Description |
|--------|-------------|
| A | <Option A description> |
| B | <Option B description> |
| C | <Option C description> (add D/E as needed up to 5) |
| Short | Provide a different short answer (<=5 words) (Include only if free-form alternative is appropriate) |
- After the table, add: `You can reply with the option letter (e.g., "A"), accept the recommendation by saying "yes" or "recommended", or provide your own short answer.`
- For shortanswer style (no meaningful discrete options):
- Provide your **suggested answer** based on best practices and context.
- Format as: `**Suggested:** <your proposed answer> - <brief reasoning>`
- Then output: `Format: Short answer (<=5 words). You can accept the suggestion by saying "yes" or "suggested", or provide your own answer.`
- After the user answers:
- If the user replies with "yes", "recommended", or "suggested", use your previously stated recommendation/suggestion as the answer.
- Otherwise, validate the answer maps to one option or fits the <=5 word constraint.
- If ambiguous, ask for a quick disambiguation (count still belongs to same question; do not advance).
- Once satisfactory, record it in working memory (do not yet write to disk) and move to the next queued question.
- Stop asking further questions when:
- All critical ambiguities resolved early (remaining queued items become unnecessary), OR
- User signals completion ("done", "good", "no more"), OR
- You reach 5 asked questions.
- Never reveal future queued questions in advance.
- If no valid questions exist at start, immediately report no critical ambiguities.
5. Integration after EACH accepted answer (incremental update approach):
- Maintain in-memory representation of the spec (loaded once at start) plus the raw file contents.
- For the first integrated answer in this session:
- Ensure a `## Clarifications` section exists (create it just after the highest-level contextual/overview section per the spec template if missing).
- Under it, create (if not present) a `### Session YYYY-MM-DD` subheading for today.
- Append a bullet line immediately after acceptance: `- Q: <question> → A: <final answer>`.
- Then immediately apply the clarification to the most appropriate section(s):
- Functional ambiguity → Update or add a bullet in Functional Requirements.
- User interaction / actor distinction → Update User Stories or Actors subsection (if present) with clarified role, constraint, or scenario.
- Data shape / entities → Update Data Model (add fields, types, relationships) preserving ordering; note added constraints succinctly.
- Non-functional constraint → Add/modify measurable criteria in Non-Functional / Quality Attributes section (convert vague adjective to metric or explicit target).
- Edge case / negative flow → Add a new bullet under Edge Cases / Error Handling (or create such subsection if template provides placeholder for it).
- Terminology conflict → Normalize term across spec; retain original only if necessary by adding `(formerly referred to as "X")` once.
- If the clarification invalidates an earlier ambiguous statement, replace that statement instead of duplicating; leave no obsolete contradictory text.
- Save the spec file AFTER each integration to minimize risk of context loss (atomic overwrite).
- Preserve formatting: do not reorder unrelated sections; keep heading hierarchy intact.
- Keep each inserted clarification minimal and testable (avoid narrative drift).
6. Validation (performed after EACH write plus final pass):
- Clarifications session contains exactly one bullet per accepted answer (no duplicates).
- Total asked (accepted) questions ≤ 5.
- Updated sections contain no lingering vague placeholders the new answer was meant to resolve.
- No contradictory earlier statement remains (scan for now-invalid alternative choices removed).
- Markdown structure valid; only allowed new headings: `## Clarifications`, `### Session YYYY-MM-DD`.
- Terminology consistency: same canonical term used across all updated sections.
7. Write the updated spec back to `FEATURE_SPEC`.
8. Report completion (after questioning loop ends or early termination):
- Number of questions asked & answered.
- Path to updated spec.
- Sections touched (list names).
- Coverage summary table listing each taxonomy category with Status: Resolved (was Partial/Missing and addressed), Deferred (exceeds question quota or better suited for planning), Clear (already sufficient), Outstanding (still Partial/Missing but low impact).
- If any Outstanding or Deferred remain, recommend whether to proceed to `/speckit.plan` or run `/speckit.clarify` again later post-plan.
- Suggested next command.
Behavior rules:
- If no meaningful ambiguities found (or all potential questions would be low-impact), respond: "No critical ambiguities detected worth formal clarification." and suggest proceeding.
- If spec file missing, instruct user to run `/speckit.specify` first (do not create a new spec here).
- Never exceed 5 total asked questions (clarification retries for a single question do not count as new questions).
- Avoid speculative tech stack questions unless the absence blocks functional clarity.
- Respect user early termination signals ("stop", "done", "proceed").
- If no questions asked due to full coverage, output a compact coverage summary (all categories Clear) then suggest advancing.
- If quota reached with unresolved high-impact categories remaining, explicitly flag them under Deferred with rationale.
Context for prioritization: $ARGUMENTS
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---
description: Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.
handoffs:
- label: Build Specification
agent: speckit.specify
prompt: Implement the feature specification based on the updated constitution. I want to build...
---
## User Input
```text
$ARGUMENTS
```
You **MUST** consider the user input before proceeding (if not empty).
## Outline
You are updating the project constitution at `.specify/memory/constitution.md`. This file is a TEMPLATE containing placeholder tokens in square brackets (e.g. `[PROJECT_NAME]`, `[PRINCIPLE_1_NAME]`). Your job is to (a) collect/derive concrete values, (b) fill the template precisely, and (c) propagate any amendments across dependent artifacts.
**Note**: If `.specify/memory/constitution.md` does not exist yet, it should have been initialized from `.specify/templates/constitution-template.md` during project setup. If it's missing, copy the template first.
Follow this execution flow:
1. Load the existing constitution at `.specify/memory/constitution.md`.
- Identify every placeholder token of the form `[ALL_CAPS_IDENTIFIER]`.
**IMPORTANT**: The user might require less or more principles than the ones used in the template. If a number is specified, respect that - follow the general template. You will update the doc accordingly.
2. Collect/derive values for placeholders:
- If user input (conversation) supplies a value, use it.
- Otherwise infer from existing repo context (README, docs, prior constitution versions if embedded).
- For governance dates: `RATIFICATION_DATE` is the original adoption date (if unknown ask or mark TODO), `LAST_AMENDED_DATE` is today if changes are made, otherwise keep previous.
- `CONSTITUTION_VERSION` must increment according to semantic versioning rules:
- MAJOR: Backward incompatible governance/principle removals or redefinitions.
- MINOR: New principle/section added or materially expanded guidance.
- PATCH: Clarifications, wording, typo fixes, non-semantic refinements.
- If version bump type ambiguous, propose reasoning before finalizing.
3. Draft the updated constitution content:
- Replace every placeholder with concrete text (no bracketed tokens left except intentionally retained template slots that the project has chosen not to define yet—explicitly justify any left).
- Preserve heading hierarchy and comments can be removed once replaced unless they still add clarifying guidance.
- Ensure each Principle section: succinct name line, paragraph (or bullet list) capturing nonnegotiable rules, explicit rationale if not obvious.
- Ensure Governance section lists amendment procedure, versioning policy, and compliance review expectations.
4. Consistency propagation checklist (convert prior checklist into active validations):
- Read `.specify/templates/plan-template.md` and ensure any "Constitution Check" or rules align with updated principles.
- Read `.specify/templates/spec-template.md` for scope/requirements alignment—update if constitution adds/removes mandatory sections or constraints.
- Read `.specify/templates/tasks-template.md` and ensure task categorization reflects new or removed principle-driven task types (e.g., observability, versioning, testing discipline).
- Read each command file in `.specify/templates/commands/*.md` (including this one) to verify no outdated references (agent-specific names like CLAUDE only) remain when generic guidance is required.
- Read any runtime guidance docs (e.g., `README.md`, `docs/quickstart.md`, or agent-specific guidance files if present). Update references to principles changed.
5. Produce a Sync Impact Report (prepend as an HTML comment at top of the constitution file after update):
- Version change: old → new
- List of modified principles (old title → new title if renamed)
- Added sections
- Removed sections
- Templates requiring updates (✅ updated / ⚠ pending) with file paths
- Follow-up TODOs if any placeholders intentionally deferred.
6. Validation before final output:
- No remaining unexplained bracket tokens.
- Version line matches report.
- Dates ISO format YYYY-MM-DD.
- Principles are declarative, testable, and free of vague language ("should" → replace with MUST/SHOULD rationale where appropriate).
7. Write the completed constitution back to `.specify/memory/constitution.md` (overwrite).
8. Output a final summary to the user with:
- New version and bump rationale.
- Any files flagged for manual follow-up.
- Suggested commit message (e.g., `docs: amend constitution to vX.Y.Z (principle additions + governance update)`).
Formatting & Style Requirements:
- Use Markdown headings exactly as in the template (do not demote/promote levels).
- Wrap long rationale lines to keep readability (<100 chars ideally) but do not hard enforce with awkward breaks.
- Keep a single blank line between sections.
- Avoid trailing whitespace.
If the user supplies partial updates (e.g., only one principle revision), still perform validation and version decision steps.
If critical info missing (e.g., ratification date truly unknown), insert `TODO(<FIELD_NAME>): explanation` and include in the Sync Impact Report under deferred items.
Do not create a new template; always operate on the existing `.specify/memory/constitution.md` file.
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---
description: Execute the implementation plan by processing and executing all tasks defined in tasks.md
---
## User Input
```text
$ARGUMENTS
```
You **MUST** consider the user input before proceeding (if not empty).
## Outline
1. Run `.specify/scripts/bash/check-prerequisites.sh --json --require-tasks --include-tasks` from repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot").
2. **Check checklists status** (if FEATURE_DIR/checklists/ exists):
- Scan all checklist files in the checklists/ directory
- For each checklist, count:
- Total items: All lines matching `- [ ]` or `- [X]` or `- [x]`
- Completed items: Lines matching `- [X]` or `- [x]`
- Incomplete items: Lines matching `- [ ]`
- Create a status table:
```text
| Checklist | Total | Completed | Incomplete | Status |
|-----------|-------|-----------|------------|--------|
| ux.md | 12 | 12 | 0 | ✓ PASS |
| test.md | 8 | 5 | 3 | ✗ FAIL |
| security.md | 6 | 6 | 0 | ✓ PASS |
```
- Calculate overall status:
- **PASS**: All checklists have 0 incomplete items
- **FAIL**: One or more checklists have incomplete items
- **If any checklist is incomplete**:
- Display the table with incomplete item counts
- **STOP** and ask: "Some checklists are incomplete. Do you want to proceed with implementation anyway? (yes/no)"
- Wait for user response before continuing
- If user says "no" or "wait" or "stop", halt execution
- If user says "yes" or "proceed" or "continue", proceed to step 3
- **If all checklists are complete**:
- Display the table showing all checklists passed
- Automatically proceed to step 3
3. Load and analyze the implementation context:
- **REQUIRED**: Read tasks.md for the complete task list and execution plan
- **REQUIRED**: Read plan.md for tech stack, architecture, and file structure
- **IF EXISTS**: Read data-model.md for entities and relationships
- **IF EXISTS**: Read contracts/ for API specifications and test requirements
- **IF EXISTS**: Read research.md for technical decisions and constraints
- **IF EXISTS**: Read quickstart.md for integration scenarios
4. **Project Setup Verification**:
- **REQUIRED**: Create/verify ignore files based on actual project setup:
**Detection & Creation Logic**:
- Check if the following command succeeds to determine if the repository is a git repo (create/verify .gitignore if so):
```sh
git rev-parse --git-dir 2>/dev/null
```
- Check if Dockerfile* exists or Docker in plan.md → create/verify .dockerignore
- Check if .eslintrc* exists → create/verify .eslintignore
- Check if eslint.config.* exists → ensure the config's `ignores` entries cover required patterns
- Check if .prettierrc* exists → create/verify .prettierignore
- Check if .npmrc or package.json exists → create/verify .npmignore (if publishing)
- Check if terraform files (*.tf) exist → create/verify .terraformignore
- Check if .helmignore needed (helm charts present) → create/verify .helmignore
**If ignore file already exists**: Verify it contains essential patterns, append missing critical patterns only
**If ignore file missing**: Create with full pattern set for detected technology
**Common Patterns by Technology** (from plan.md tech stack):
- **Node.js/JavaScript/TypeScript**: `node_modules/`, `dist/`, `build/`, `*.log`, `.env*`
- **Python**: `__pycache__/`, `*.pyc`, `.venv/`, `venv/`, `dist/`, `*.egg-info/`
- **Java**: `target/`, `*.class`, `*.jar`, `.gradle/`, `build/`
- **C#/.NET**: `bin/`, `obj/`, `*.user`, `*.suo`, `packages/`
- **Go**: `*.exe`, `*.test`, `vendor/`, `*.out`
- **Ruby**: `.bundle/`, `log/`, `tmp/`, `*.gem`, `vendor/bundle/`
- **PHP**: `vendor/`, `*.log`, `*.cache`, `*.env`
- **Rust**: `target/`, `debug/`, `release/`, `*.rs.bk`, `*.rlib`, `*.prof*`, `.idea/`, `*.log`, `.env*`
- **Kotlin**: `build/`, `out/`, `.gradle/`, `.idea/`, `*.class`, `*.jar`, `*.iml`, `*.log`, `.env*`
- **C++**: `build/`, `bin/`, `obj/`, `out/`, `*.o`, `*.so`, `*.a`, `*.exe`, `*.dll`, `.idea/`, `*.log`, `.env*`
- **C**: `build/`, `bin/`, `obj/`, `out/`, `*.o`, `*.a`, `*.so`, `*.exe`, `Makefile`, `config.log`, `.idea/`, `*.log`, `.env*`
- **Swift**: `.build/`, `DerivedData/`, `*.swiftpm/`, `Packages/`
- **R**: `.Rproj.user/`, `.Rhistory`, `.RData`, `.Ruserdata`, `*.Rproj`, `packrat/`, `renv/`
- **Universal**: `.DS_Store`, `Thumbs.db`, `*.tmp`, `*.swp`, `.vscode/`, `.idea/`
**Tool-Specific Patterns**:
- **Docker**: `node_modules/`, `.git/`, `Dockerfile*`, `.dockerignore`, `*.log*`, `.env*`, `coverage/`
- **ESLint**: `node_modules/`, `dist/`, `build/`, `coverage/`, `*.min.js`
- **Prettier**: `node_modules/`, `dist/`, `build/`, `coverage/`, `package-lock.json`, `yarn.lock`, `pnpm-lock.yaml`
- **Terraform**: `.terraform/`, `*.tfstate*`, `*.tfvars`, `.terraform.lock.hcl`
- **Kubernetes/k8s**: `*.secret.yaml`, `secrets/`, `.kube/`, `kubeconfig*`, `*.key`, `*.crt`
5. Parse tasks.md structure and extract:
- **Task phases**: Setup, Tests, Core, Integration, Polish
- **Task dependencies**: Sequential vs parallel execution rules
- **Task details**: ID, description, file paths, parallel markers [P]
- **Execution flow**: Order and dependency requirements
6. Execute implementation following the task plan:
- **Phase-by-phase execution**: Complete each phase before moving to the next
- **Respect dependencies**: Run sequential tasks in order, parallel tasks [P] can run together
- **Follow TDD approach**: Execute test tasks before their corresponding implementation tasks
- **File-based coordination**: Tasks affecting the same files must run sequentially
- **Validation checkpoints**: Verify each phase completion before proceeding
7. Implementation execution rules:
- **Setup first**: Initialize project structure, dependencies, configuration
- **Tests before code**: If you need to write tests for contracts, entities, and integration scenarios
- **Core development**: Implement models, services, CLI commands, endpoints
- **Integration work**: Database connections, middleware, logging, external services
- **Polish and validation**: Unit tests, performance optimization, documentation
8. Progress tracking and error handling:
- Report progress after each completed task
- Halt execution if any non-parallel task fails
- For parallel tasks [P], continue with successful tasks, report failed ones
- Provide clear error messages with context for debugging
- Suggest next steps if implementation cannot proceed
- **IMPORTANT** For completed tasks, make sure to mark the task off as [X] in the tasks file.
9. Completion validation:
- Verify all required tasks are completed
- Check that implemented features match the original specification
- Validate that tests pass and coverage meets requirements
- Confirm the implementation follows the technical plan
- Report final status with summary of completed work
Note: This command assumes a complete task breakdown exists in tasks.md. If tasks are incomplete or missing, suggest running `/speckit.tasks` first to regenerate the task list.
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---
description: Execute the implementation planning workflow using the plan template to generate design artifacts.
handoffs:
- label: Create Tasks
agent: speckit.tasks
prompt: Break the plan into tasks
send: true
- label: Create Checklist
agent: speckit.checklist
prompt: Create a checklist for the following domain...
---
## User Input
```text
$ARGUMENTS
```
You **MUST** consider the user input before proceeding (if not empty).
## Outline
1. **Setup**: Run `.specify/scripts/bash/setup-plan.sh --json` from repo root and parse JSON for FEATURE_SPEC, IMPL_PLAN, SPECS_DIR, BRANCH. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot").
2. **Load context**: Read FEATURE_SPEC and `.specify/memory/constitution.md`. Load IMPL_PLAN template (already copied).
3. **Execute plan workflow**: Follow the structure in IMPL_PLAN template to:
- Fill Technical Context (mark unknowns as "NEEDS CLARIFICATION")
- Fill Constitution Check section from constitution
- Evaluate gates (ERROR if violations unjustified)
- Phase 0: Generate research.md (resolve all NEEDS CLARIFICATION)
- Phase 1: Generate data-model.md, contracts/, quickstart.md
- Phase 1: Update agent context by running the agent script
- Re-evaluate Constitution Check post-design
4. **Stop and report**: Command ends after Phase 2 planning. Report branch, IMPL_PLAN path, and generated artifacts.
## Phases
### Phase 0: Outline & Research
1. **Extract unknowns from Technical Context** above:
- For each NEEDS CLARIFICATION → research task
- For each dependency → best practices task
- For each integration → patterns task
2. **Generate and dispatch research agents**:
```text
For each unknown in Technical Context:
Task: "Research {unknown} for {feature context}"
For each technology choice:
Task: "Find best practices for {tech} in {domain}"
```
3. **Consolidate findings** in `research.md` using format:
- Decision: [what was chosen]
- Rationale: [why chosen]
- Alternatives considered: [what else evaluated]
**Output**: research.md with all NEEDS CLARIFICATION resolved
### Phase 1: Design & Contracts
**Prerequisites:** `research.md` complete
1. **Extract entities from feature spec** → `data-model.md`:
- Entity name, fields, relationships
- Validation rules from requirements
- State transitions if applicable
2. **Generate API contracts** from functional requirements:
- For each user action → endpoint
- Use standard REST/GraphQL patterns
- Output OpenAPI/GraphQL schema to `/contracts/`
3. **Agent context update**:
- Run `.specify/scripts/bash/update-agent-context.sh cursor-agent`
- These scripts detect which AI agent is in use
- Update the appropriate agent-specific context file
- Add only new technology from current plan
- Preserve manual additions between markers
**Output**: data-model.md, /contracts/*, quickstart.md, agent-specific file
## Key rules
- Use absolute paths
- ERROR on gate failures or unresolved clarifications
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---
description: Create or update the feature specification from a natural language feature description.
handoffs:
- label: Build Technical Plan
agent: speckit.plan
prompt: Create a plan for the spec. I am building with...
- label: Clarify Spec Requirements
agent: speckit.clarify
prompt: Clarify specification requirements
send: true
---
## User Input
```text
$ARGUMENTS
```
You **MUST** consider the user input before proceeding (if not empty).
## Outline
The text the user typed after `/speckit.specify` in the triggering message **is** the feature description. Assume you always have it available in this conversation even if `$ARGUMENTS` appears literally below. Do not ask the user to repeat it unless they provided an empty command.
Given that feature description, do this:
1. **Generate a concise short name** (2-4 words) for the branch:
- Analyze the feature description and extract the most meaningful keywords
- Create a 2-4 word short name that captures the essence of the feature
- Use action-noun format when possible (e.g., "add-user-auth", "fix-payment-bug")
- Preserve technical terms and acronyms (OAuth2, API, JWT, etc.)
- Keep it concise but descriptive enough to understand the feature at a glance
- Examples:
- "I want to add user authentication" → "user-auth"
- "Implement OAuth2 integration for the API" → "oauth2-api-integration"
- "Create a dashboard for analytics" → "analytics-dashboard"
- "Fix payment processing timeout bug" → "fix-payment-timeout"
2. **Check for existing branches before creating new one**:
a. First, fetch all remote branches to ensure we have the latest information:
```bash
git fetch --all --prune
```
b. Find the highest feature number across all sources for the short-name:
- Remote branches: `git ls-remote --heads origin | grep -E 'refs/heads/[0-9]+-<short-name>$'`
- Local branches: `git branch | grep -E '^[* ]*[0-9]+-<short-name>$'`
- Specs directories: Check for directories matching `specs/[0-9]+-<short-name>`
c. Determine the next available number:
- Extract all numbers from all three sources
- Find the highest number N
- Use N+1 for the new branch number
d. Run the script `.specify/scripts/bash/create-new-feature.sh --json "$ARGUMENTS"` with the calculated number and short-name:
- Pass `--number N+1` and `--short-name "your-short-name"` along with the feature description
- Bash example: `.specify/scripts/bash/create-new-feature.sh --json "$ARGUMENTS" --json --number 5 --short-name "user-auth" "Add user authentication"`
- PowerShell example: `.specify/scripts/bash/create-new-feature.sh --json "$ARGUMENTS" -Json -Number 5 -ShortName "user-auth" "Add user authentication"`
**IMPORTANT**:
- Check all three sources (remote branches, local branches, specs directories) to find the highest number
- Only match branches/directories with the exact short-name pattern
- If no existing branches/directories found with this short-name, start with number 1
- You must only ever run this script once per feature
- The JSON is provided in the terminal as output - always refer to it to get the actual content you're looking for
- The JSON output will contain BRANCH_NAME and SPEC_FILE paths
- For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot")
3. Load `.specify/templates/spec-template.md` to understand required sections.
4. Follow this execution flow:
1. Parse user description from Input
If empty: ERROR "No feature description provided"
2. Extract key concepts from description
Identify: actors, actions, data, constraints
3. For unclear aspects:
- Make informed guesses based on context and industry standards
- Only mark with [NEEDS CLARIFICATION: specific question] if:
- The choice significantly impacts feature scope or user experience
- Multiple reasonable interpretations exist with different implications
- No reasonable default exists
- **LIMIT: Maximum 3 [NEEDS CLARIFICATION] markers total**
- Prioritize clarifications by impact: scope > security/privacy > user experience > technical details
4. Fill User Scenarios & Testing section
If no clear user flow: ERROR "Cannot determine user scenarios"
5. Generate Functional Requirements
Each requirement must be testable
Use reasonable defaults for unspecified details (document assumptions in Assumptions section)
6. Define Success Criteria
Create measurable, technology-agnostic outcomes
Include both quantitative metrics (time, performance, volume) and qualitative measures (user satisfaction, task completion)
Each criterion must be verifiable without implementation details
7. Identify Key Entities (if data involved)
8. Return: SUCCESS (spec ready for planning)
5. Write the specification to SPEC_FILE using the template structure, replacing placeholders with concrete details derived from the feature description (arguments) while preserving section order and headings.
6. **Specification Quality Validation**: After writing the initial spec, validate it against quality criteria:
a. **Create Spec Quality Checklist**: Generate a checklist file at `FEATURE_DIR/checklists/requirements.md` using the checklist template structure with these validation items:
```markdown
# Specification Quality Checklist: [FEATURE NAME]
**Purpose**: Validate specification completeness and quality before proceeding to planning
**Created**: [DATE]
**Feature**: [Link to spec.md]
## Content Quality
- [ ] No implementation details (languages, frameworks, APIs)
- [ ] Focused on user value and business needs
- [ ] Written for non-technical stakeholders
- [ ] All mandatory sections completed
## Requirement Completeness
- [ ] No [NEEDS CLARIFICATION] markers remain
- [ ] Requirements are testable and unambiguous
- [ ] Success criteria are measurable
- [ ] Success criteria are technology-agnostic (no implementation details)
- [ ] All acceptance scenarios are defined
- [ ] Edge cases are identified
- [ ] Scope is clearly bounded
- [ ] Dependencies and assumptions identified
## Feature Readiness
- [ ] All functional requirements have clear acceptance criteria
- [ ] User scenarios cover primary flows
- [ ] Feature meets measurable outcomes defined in Success Criteria
- [ ] No implementation details leak into specification
## Notes
- Items marked incomplete require spec updates before `/speckit.clarify` or `/speckit.plan`
```
b. **Run Validation Check**: Review the spec against each checklist item:
- For each item, determine if it passes or fails
- Document specific issues found (quote relevant spec sections)
c. **Handle Validation Results**:
- **If all items pass**: Mark checklist complete and proceed to step 6
- **If items fail (excluding [NEEDS CLARIFICATION])**:
1. List the failing items and specific issues
2. Update the spec to address each issue
3. Re-run validation until all items pass (max 3 iterations)
4. If still failing after 3 iterations, document remaining issues in checklist notes and warn user
- **If [NEEDS CLARIFICATION] markers remain**:
1. Extract all [NEEDS CLARIFICATION: ...] markers from the spec
2. **LIMIT CHECK**: If more than 3 markers exist, keep only the 3 most critical (by scope/security/UX impact) and make informed guesses for the rest
3. For each clarification needed (max 3), present options to user in this format:
```markdown
## Question [N]: [Topic]
**Context**: [Quote relevant spec section]
**What we need to know**: [Specific question from NEEDS CLARIFICATION marker]
**Suggested Answers**:
| Option | Answer | Implications |
|--------|--------|--------------|
| A | [First suggested answer] | [What this means for the feature] |
| B | [Second suggested answer] | [What this means for the feature] |
| C | [Third suggested answer] | [What this means for the feature] |
| Custom | Provide your own answer | [Explain how to provide custom input] |
**Your choice**: _[Wait for user response]_
```
4. **CRITICAL - Table Formatting**: Ensure markdown tables are properly formatted:
- Use consistent spacing with pipes aligned
- Each cell should have spaces around content: `| Content |` not `|Content|`
- Header separator must have at least 3 dashes: `|--------|`
- Test that the table renders correctly in markdown preview
5. Number questions sequentially (Q1, Q2, Q3 - max 3 total)
6. Present all questions together before waiting for responses
7. Wait for user to respond with their choices for all questions (e.g., "Q1: A, Q2: Custom - [details], Q3: B")
8. Update the spec by replacing each [NEEDS CLARIFICATION] marker with the user's selected or provided answer
9. Re-run validation after all clarifications are resolved
d. **Update Checklist**: After each validation iteration, update the checklist file with current pass/fail status
7. Report completion with branch name, spec file path, checklist results, and readiness for the next phase (`/speckit.clarify` or `/speckit.plan`).
**NOTE:** The script creates and checks out the new branch and initializes the spec file before writing.
## General Guidelines
## Quick Guidelines
- Focus on **WHAT** users need and **WHY**.
- Avoid HOW to implement (no tech stack, APIs, code structure).
- Written for business stakeholders, not developers.
- DO NOT create any checklists that are embedded in the spec. That will be a separate command.
### Section Requirements
- **Mandatory sections**: Must be completed for every feature
- **Optional sections**: Include only when relevant to the feature
- When a section doesn't apply, remove it entirely (don't leave as "N/A")
### For AI Generation
When creating this spec from a user prompt:
1. **Make informed guesses**: Use context, industry standards, and common patterns to fill gaps
2. **Document assumptions**: Record reasonable defaults in the Assumptions section
3. **Limit clarifications**: Maximum 3 [NEEDS CLARIFICATION] markers - use only for critical decisions that:
- Significantly impact feature scope or user experience
- Have multiple reasonable interpretations with different implications
- Lack any reasonable default
4. **Prioritize clarifications**: scope > security/privacy > user experience > technical details
5. **Think like a tester**: Every vague requirement should fail the "testable and unambiguous" checklist item
6. **Common areas needing clarification** (only if no reasonable default exists):
- Feature scope and boundaries (include/exclude specific use cases)
- User types and permissions (if multiple conflicting interpretations possible)
- Security/compliance requirements (when legally/financially significant)
**Examples of reasonable defaults** (don't ask about these):
- Data retention: Industry-standard practices for the domain
- Performance targets: Standard web/mobile app expectations unless specified
- Error handling: User-friendly messages with appropriate fallbacks
- Authentication method: Standard session-based or OAuth2 for web apps
- Integration patterns: RESTful APIs unless specified otherwise
### Success Criteria Guidelines
Success criteria must be:
1. **Measurable**: Include specific metrics (time, percentage, count, rate)
2. **Technology-agnostic**: No mention of frameworks, languages, databases, or tools
3. **User-focused**: Describe outcomes from user/business perspective, not system internals
4. **Verifiable**: Can be tested/validated without knowing implementation details
**Good examples**:
- "Users can complete checkout in under 3 minutes"
- "System supports 10,000 concurrent users"
- "95% of searches return results in under 1 second"
- "Task completion rate improves by 40%"
**Bad examples** (implementation-focused):
- "API response time is under 200ms" (too technical, use "Users see results instantly")
- "Database can handle 1000 TPS" (implementation detail, use user-facing metric)
- "React components render efficiently" (framework-specific)
- "Redis cache hit rate above 80%" (technology-specific)
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---
description: Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
handoffs:
- label: Analyze For Consistency
agent: speckit.analyze
prompt: Run a project analysis for consistency
send: true
- label: Implement Project
agent: speckit.implement
prompt: Start the implementation in phases
send: true
---
## User Input
```text
$ARGUMENTS
```
You **MUST** consider the user input before proceeding (if not empty).
## Outline
1. **Setup**: Run `.specify/scripts/bash/check-prerequisites.sh --json` from repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot").
2. **Load design documents**: Read from FEATURE_DIR:
- **Required**: plan.md (tech stack, libraries, structure), spec.md (user stories with priorities)
- **Optional**: data-model.md (entities), contracts/ (API endpoints), research.md (decisions), quickstart.md (test scenarios)
- Note: Not all projects have all documents. Generate tasks based on what's available.
3. **Execute task generation workflow**:
- Load plan.md and extract tech stack, libraries, project structure
- Load spec.md and extract user stories with their priorities (P1, P2, P3, etc.)
- If data-model.md exists: Extract entities and map to user stories
- If contracts/ exists: Map endpoints to user stories
- If research.md exists: Extract decisions for setup tasks
- Generate tasks organized by user story (see Task Generation Rules below)
- Generate dependency graph showing user story completion order
- Create parallel execution examples per user story
- Validate task completeness (each user story has all needed tasks, independently testable)
4. **Generate tasks.md**: Use `.specify/templates/tasks-template.md` as structure, fill with:
- Correct feature name from plan.md
- Phase 1: Setup tasks (project initialization)
- Phase 2: Foundational tasks (blocking prerequisites for all user stories)
- Phase 3+: One phase per user story (in priority order from spec.md)
- Each phase includes: story goal, independent test criteria, tests (if requested), implementation tasks
- Final Phase: Polish & cross-cutting concerns
- All tasks must follow the strict checklist format (see Task Generation Rules below)
- Clear file paths for each task
- Dependencies section showing story completion order
- Parallel execution examples per story
- Implementation strategy section (MVP first, incremental delivery)
5. **Report**: Output path to generated tasks.md and summary:
- Total task count
- Task count per user story
- Parallel opportunities identified
- Independent test criteria for each story
- Suggested MVP scope (typically just User Story 1)
- Format validation: Confirm ALL tasks follow the checklist format (checkbox, ID, labels, file paths)
Context for task generation: $ARGUMENTS
The tasks.md should be immediately executable - each task must be specific enough that an LLM can complete it without additional context.
## Task Generation Rules
**CRITICAL**: Tasks MUST be organized by user story to enable independent implementation and testing.
**Tests are OPTIONAL**: Only generate test tasks if explicitly requested in the feature specification or if user requests TDD approach.
### Checklist Format (REQUIRED)
Every task MUST strictly follow this format:
```text
- [ ] [TaskID] [P?] [Story?] Description with file path
```
**Format Components**:
1. **Checkbox**: ALWAYS start with `- [ ]` (markdown checkbox)
2. **Task ID**: Sequential number (T001, T002, T003...) in execution order
3. **[P] marker**: Include ONLY if task is parallelizable (different files, no dependencies on incomplete tasks)
4. **[Story] label**: REQUIRED for user story phase tasks only
- Format: [US1], [US2], [US3], etc. (maps to user stories from spec.md)
- Setup phase: NO story label
- Foundational phase: NO story label
- User Story phases: MUST have story label
- Polish phase: NO story label
5. **Description**: Clear action with exact file path
**Examples**:
- ✅ CORRECT: `- [ ] T001 Create project structure per implementation plan`
- ✅ CORRECT: `- [ ] T005 [P] Implement authentication middleware in src/middleware/auth.py`
- ✅ CORRECT: `- [ ] T012 [P] [US1] Create User model in src/models/user.py`
- ✅ CORRECT: `- [ ] T014 [US1] Implement UserService in src/services/user_service.py`
- ❌ WRONG: `- [ ] Create User model` (missing ID and Story label)
- ❌ WRONG: `T001 [US1] Create model` (missing checkbox)
- ❌ WRONG: `- [ ] [US1] Create User model` (missing Task ID)
- ❌ WRONG: `- [ ] T001 [US1] Create model` (missing file path)
### Task Organization
1. **From User Stories (spec.md)** - PRIMARY ORGANIZATION:
- Each user story (P1, P2, P3...) gets its own phase
- Map all related components to their story:
- Models needed for that story
- Services needed for that story
- Endpoints/UI needed for that story
- If tests requested: Tests specific to that story
- Mark story dependencies (most stories should be independent)
2. **From Contracts**:
- Map each contract/endpoint → to the user story it serves
- If tests requested: Each contract → contract test task [P] before implementation in that story's phase
3. **From Data Model**:
- Map each entity to the user story(ies) that need it
- If entity serves multiple stories: Put in earliest story or Setup phase
- Relationships → service layer tasks in appropriate story phase
4. **From Setup/Infrastructure**:
- Shared infrastructure → Setup phase (Phase 1)
- Foundational/blocking tasks → Foundational phase (Phase 2)
- Story-specific setup → within that story's phase
### Phase Structure
- **Phase 1**: Setup (project initialization)
- **Phase 2**: Foundational (blocking prerequisites - MUST complete before user stories)
- **Phase 3+**: User Stories in priority order (P1, P2, P3...)
- Within each story: Tests (if requested) → Models → Services → Endpoints → Integration
- Each phase should be a complete, independently testable increment
- **Final Phase**: Polish & Cross-Cutting Concerns
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---
description: Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
tools: ['github/github-mcp-server/issue_write']
---
## User Input
```text
$ARGUMENTS
```
You **MUST** consider the user input before proceeding (if not empty).
## Outline
1. Run `.specify/scripts/bash/check-prerequisites.sh --json --require-tasks --include-tasks` from repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot").
1. From the executed script, extract the path to **tasks**.
1. Get the Git remote by running:
```bash
git config --get remote.origin.url
```
> [!CAUTION]
> ONLY PROCEED TO NEXT STEPS IF THE REMOTE IS A GITHUB URL
1. For each task in the list, use the GitHub MCP server to create a new issue in the repository that is representative of the Git remote.
> [!CAUTION]
> UNDER NO CIRCUMSTANCES EVER CREATE ISSUES IN REPOSITORIES THAT DO NOT MATCH THE REMOTE URL
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@@ -1,80 +0,0 @@
---
alwaysApply: true
---
# 项目开发规则
## 基础设置
1. 保持对话语言为中文
2. 不允许在未经允许的情况下删除代码和文件,不允许破坏已经正常的业务代码
3. 执行终端命令时要关注执行情况,避免无效等待
## 代码规范
4. 生成代码时必须添加类级和函数级注释
5. 使用import导包,禁止使用全限定名称引用类
6. 禁止使用枚举类型作为entity、request、response、dto对象的字段类型,禁止以枚举类作为方法的入参,确保接口的通用性和可扩展性
7. 新增数据的id使用已存在的雪花算法生成器生成
## 架构规范
8. 所有开发必须遵循当前项目规范
9. Controller层禁止添加业务逻辑
10. 使用全局异常处理,禁止使用try-catch
11. 前端接口访问尽可能走网关调用
## 接口设计规范
12. Controller层接口定义要完整:
- 入参使用request封装传递到service层
- service层的方法命名与controller层定义的接口的方法名称保持一致
- 出参使用response封装由service层传递到controller层
- 禁止在controller层做entity/domain对象与request/response的转换
- 使用项目已有的Result做接口返回
13. 接口和方法参数不允许超过两个,超过时使用request或DTO对象封装
14. Controller层路由禁止添加/api前缀
15. Controller层接口的Mapping注解value属性值不允许重复且不允许为空,必须明确指定value属性值且使用驼峰结构命名,避免使用下划线分隔符。所有接口注解必须显式指定value属性,如@GetMapping(value = "/page")、@PostMapping(value = "/create")等,禁止使用@GetMapping()或@PostMapping等空注解形式
16. 用户相关接口禁止直接传递用户id,需要后端根据token获取当前登录用户信息
17. 禁止使用/{param}格式的路径参数,避免网关路由冲突和分发错误
18. 路径参数统一使用@RequestParam而非@PathVariable,确保网关分发准确性
19. 接口路径命名应具有明确的语义,避免使用通用词汇如/get、/list等
20. 批量操作接口应使用专门的Request对象封装参数,而非直接传递List
21. 接口路径应避免层级过深,建议不超过3级路径结构
22. 更新操作应直接使用封装了ID和其他数据的Request对象,而不是单独传递ID参数。Service层方法应保持参数简洁,业务逻辑所需数据应全部包含在Request对象中
23. Controller层接口应保持简洁,避免为特定字段创建独立的更新方法(如updateStatus等),应只保留一个通用的update方法,具体的业务逻辑在Service层实现
24. Service层在执行更新操作时,应对每个字段进行空值检查,只更新非空字段,避免空字段覆盖原有值,确保数据完整性
25. Controller层应避免创建多个特定条件的查询接口,只保留一个分页查询方法,通过在请求对象中包含所有可查询字段来支持不同的查询需求
26. 分页查询接口应支持模糊查询和精确查询,通过在Service层根据字段类型和业务需求判断查询方式
## 环境配置
27. 为不同环境(local、dev、prod)创建单独配置文件,部署时通过参数选择
28. 启动服务时禁止擅自修改端口号,使用配置文件中的端口设置
## 数据库规范
29. 所有数据表必须包含创建时间(create_time)和更新时间(update_time)字段
30. 删除操作优先使用逻辑删除,添加deleted字段标识
31. 数据库字段命名使用下划线分隔,Java实体类使用驼峰命名
32. 优先使用LambdaQueryWrapper构造条件查询,避免硬编码字段名
33. 使用Lambda表达式引用实体类属性,提高代码可维护性和类型安全
34. 复杂查询条件应使用LambdaQueryWrapper的链式调用,保持代码清晰
35. 避免在查询条件中使用字符串字段名,防止字段名变更导致的运行时错误
## 安全规范
36. 所有外部输入必须进行参数校验
37. 敏感信息不得在日志中输出
38. 数据库操作必须使用参数化查询,防止SQL注入
## 性能规范
39. 避免N+1查询问题,合理使用批量查询
40. 大数据量查询必须分页处理
41. 缓存策略要考虑数据一致性问题
## 日志规范
42. 关键业务操作必须记录操作日志
43. 异常信息要包含足够的上下文信息
44. 生产环境禁止输出debug级别日志
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@@ -9,7 +9,7 @@
<outputRelativeToContentRoot value="true" /> <outputRelativeToContentRoot value="true" />
<module name="emotion-museum-backend" /> <module name="emotion-museum-backend" />
<module name="emotion-single" /> <module name="emotion-single" />
<module name="backend-single" /> <module name="server" />
</profile> </profile>
<profile name="Annotation profile for emotion-museum-server" enabled="true"> <profile name="Annotation profile for emotion-museum-server" enabled="true">
<sourceOutputDir name="target/generated-sources/annotations" /> <sourceOutputDir name="target/generated-sources/annotations" />
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@@ -32,7 +32,7 @@
<driver-ref>mysql.8</driver-ref> <driver-ref>mysql.8</driver-ref>
<synchronize>true</synchronize> <synchronize>true</synchronize>
<imported>true</imported> <imported>true</imported>
<remarks>$PROJECT_DIR$/backend-single/src/main/resources/application-local.yml</remarks> <remarks>$PROJECT_DIR$/server/src/main/resources/application-local.yml</remarks>
<jdbc-driver>com.mysql.cj.jdbc.Driver</jdbc-driver> <jdbc-driver>com.mysql.cj.jdbc.Driver</jdbc-driver>
<jdbc-url>jdbc:mysql://localhost:3306/?useUnicode=true&amp;characterEncoding=utf8&amp;serverTimezone=Asia/Shanghai&amp;useSSL=false&amp;allowPublicKeyRetrieval=true</jdbc-url> <jdbc-url>jdbc:mysql://localhost:3306/?useUnicode=true&amp;characterEncoding=utf8&amp;serverTimezone=Asia/Shanghai&amp;useSSL=false&amp;allowPublicKeyRetrieval=true</jdbc-url>
<jdbc-additional-properties> <jdbc-additional-properties>
@@ -46,7 +46,7 @@
<driver-ref>mysql.8</driver-ref> <driver-ref>mysql.8</driver-ref>
<synchronize>true</synchronize> <synchronize>true</synchronize>
<imported>true</imported> <imported>true</imported>
<remarks>$PROJECT_DIR$/backend-single/src/main/resources/application-prod.yml</remarks> <remarks>$PROJECT_DIR$/server/src/main/resources/application-prod.yml</remarks>
<jdbc-driver>com.mysql.cj.jdbc.Driver</jdbc-driver> <jdbc-driver>com.mysql.cj.jdbc.Driver</jdbc-driver>
<jdbc-url>jdbc:mysql://101.200.208.45:3306/emotion_museum?useUnicode=true&amp;characterEncoding=utf8&amp;serverTimezone=Asia/Shanghai&amp;useSSL=false&amp;allowPublicKeyRetrieval=true</jdbc-url> <jdbc-url>jdbc:mysql://101.200.208.45:3306/emotion_museum?useUnicode=true&amp;characterEncoding=utf8&amp;serverTimezone=Asia/Shanghai&amp;useSSL=false&amp;allowPublicKeyRetrieval=true</jdbc-url>
<jdbc-additional-properties> <jdbc-additional-properties>
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@@ -1,8 +1,8 @@
<?xml version="1.0" encoding="UTF-8"?> <?xml version="1.0" encoding="UTF-8"?>
<project version="4"> <project version="4">
<component name="Encoding"> <component name="Encoding">
<file url="file://$PROJECT_DIR$/backend-single/src/main/java" charset="UTF-8" /> <file url="file://$PROJECT_DIR$/server/src/main/java" charset="UTF-8" />
<file url="file://$PROJECT_DIR$/backend-single/src/main/resources" charset="UTF-8" /> <file url="file://$PROJECT_DIR$/server/src/main/resources" charset="UTF-8" />
<file url="file://$PROJECT_DIR$/backend/admin/api/src/main/java" charset="UTF-8" /> <file url="file://$PROJECT_DIR$/backend/admin/api/src/main/java" charset="UTF-8" />
<file url="file://$PROJECT_DIR$/backend/admin/api/src/main/resources" charset="UTF-8" /> <file url="file://$PROJECT_DIR$/backend/admin/api/src/main/resources" charset="UTF-8" />
<file url="file://$PROJECT_DIR$/backend/admin/server/src/main/java" charset="UTF-8" /> <file url="file://$PROJECT_DIR$/backend/admin/server/src/main/java" charset="UTF-8" />
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@@ -6,7 +6,6 @@
<list> <list>
<option value="$PROJECT_DIR$/server/pom.xml" /> <option value="$PROJECT_DIR$/server/pom.xml" />
<option value="$PROJECT_DIR$/backend/pom.xml" /> <option value="$PROJECT_DIR$/backend/pom.xml" />
<option value="$PROJECT_DIR$/backend-single/pom.xml" />
</list> </list>
</option> </option>
</component> </component>
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@@ -4,7 +4,7 @@
services: services:
backend: backend:
name: "后端服务" name: "后端服务"
dir: "backend-single" dir: "server"
type: "java" type: "java"
port: 19089 port: 19089
health_check_path: "/actuator/health" health_check_path: "/actuator/health"
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@@ -3035,13 +3035,13 @@ onUnmounted(() => {
} }
.chat-voice-btn { .chat-voice-btn {
width: 86rpx; width: 72rpx;
height: 76rpx; height: 68rpx;
flex-shrink: 0; flex-shrink: 0;
display: flex; display: flex;
align-items: center; align-items: center;
justify-content: center; justify-content: center;
border-radius: 26rpx; border-radius: 22rpx;
color: #e8ccff; color: #e8ccff;
font-size: 24rpx; font-size: 24rpx;
font-weight: 800; font-weight: 800;
@@ -3057,7 +3057,7 @@ onUnmounted(() => {
} }
.voice-icon { .voice-icon {
font-size: 32rpx; font-size: 24rpx;
line-height: 1; line-height: 1;
} }
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@@ -9,25 +9,25 @@
### 1. 实体类和DTO修改 ### 1. 实体类和DTO修改
#### 1.1 AiConfig.java #### 1.1 AiConfig.java
- **文件路径**: `backend-single/src/main/java/com/emotion/entity/AiConfig.java` - **文件路径**: `server/src/main/java/com/emotion/entity/AiConfig.java`
- **修改内容**: 更新 `apiBaseUrl` 字段注释 - **修改内容**: 更新 `apiBaseUrl` 字段注释
- **修改前**: `API基础URL` - **修改前**: `API基础URL`
- **修改后**: `API完整URL(包含完整的接口路径,不需要再拼接任何后缀)例如:https://api.coze.cn/v3/chat` - **修改后**: `API完整URL(包含完整的接口路径,不需要再拼接任何后缀)例如:https://api.coze.cn/v3/chat`
#### 1.2 AiConfigCreateRequest.java #### 1.2 AiConfigCreateRequest.java
- **文件路径**: `backend-single/src/main/java/com/emotion/dto/request/aiconfig/AiConfigCreateRequest.java` - **文件路径**: `server/src/main/java/com/emotion/dto/request/aiconfig/AiConfigCreateRequest.java`
- **修改内容**: 更新 `apiBaseUrl` 字段注释和验证消息 - **修改内容**: 更新 `apiBaseUrl` 字段注释和验证消息
- **修改前**: `API基础URL` / `API基础URL不能为空` - **修改前**: `API基础URL` / `API基础URL不能为空`
- **修改后**: `API完整URL(包含完整的接口路径,不需要再拼接任何后缀)` / `API完整URL不能为空` - **修改后**: `API完整URL(包含完整的接口路径,不需要再拼接任何后缀)` / `API完整URL不能为空`
#### 1.3 AiConfigUpdateRequest.java #### 1.3 AiConfigUpdateRequest.java
- **文件路径**: `backend-single/src/main/java/com/emotion/dto/request/aiconfig/AiConfigUpdateRequest.java` - **文件路径**: `server/src/main/java/com/emotion/dto/request/aiconfig/AiConfigUpdateRequest.java`
- **修改内容**: 更新 `apiBaseUrl` 字段注释 - **修改内容**: 更新 `apiBaseUrl` 字段注释
- **修改前**: `API基础URL` - **修改前**: `API基础URL`
- **修改后**: `API完整URL(包含完整的接口路径,不需要再拼接任何后缀)` - **修改后**: `API完整URL(包含完整的接口路径,不需要再拼接任何后缀)`
#### 1.4 AiConfigResponse.java #### 1.4 AiConfigResponse.java
- **文件路径**: `backend-single/src/main/java/com/emotion/dto/response/aiconfig/AiConfigResponse.java` - **文件路径**: `server/src/main/java/com/emotion/dto/response/aiconfig/AiConfigResponse.java`
- **修改内容**: 更新 `apiBaseUrl` 字段注释 - **修改内容**: 更新 `apiBaseUrl` 字段注释
- **修改前**: `API基础URL` - **修改前**: `API基础URL`
- **修改后**: `API完整URL(包含完整的接口路径,不需要再拼接任何后缀)` - **修改后**: `API完整URL(包含完整的接口路径,不需要再拼接任何后缀)`
@@ -35,7 +35,7 @@
### 2. 后端服务层修改 ### 2. 后端服务层修改
#### 2.1 AiChatServiceImpl.java #### 2.1 AiChatServiceImpl.java
- **文件路径**: `backend-single/src/main/java/com/emotion/service/impl/AiChatServiceImpl.java` - **文件路径**: `server/src/main/java/com/emotion/service/impl/AiChatServiceImpl.java`
##### 修改1: getApiPath方法 ##### 修改1: getApiPath方法
```java ```java
@@ -151,7 +151,7 @@ const initTestData = (config: AiConfig) => {
### 4. 单元测试 ### 4. 单元测试
#### 4.1 AiChatServiceImplTest.java #### 4.1 AiChatServiceImplTest.java
- **文件路径**: `backend-single/src/test/java/com/emotion/service/AiChatServiceImplTest.java` - **文件路径**: `server/src/test/java/com/emotion/service/AiChatServiceImplTest.java`
- **测试内容**: - **测试内容**:
1. `testGetApiPath`: 测试getApiPath方法返回空字符串 1. `testGetApiPath`: 测试getApiPath方法返回空字符串
2. `testExtractBaseUrl`: 测试extractBaseUrl方法提取基础URL 2. `testExtractBaseUrl`: 测试extractBaseUrl方法提取基础URL
@@ -201,7 +201,7 @@ config.setApiBaseUrl("https://api.coze.cn/v3/chat"); // 完整URL
### 后端测试 ### 后端测试
```bash ```bash
cd backend-single cd server
mvn test -Dtest=AiChatServiceImplTest mvn test -Dtest=AiChatServiceImplTest
``` ```
+1 -1
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@@ -9,7 +9,7 @@
### 2. 启动应用 ### 2. 启动应用
```bash ```bash
cd backend-single cd server
mvn spring-boot:run mvn spring-boot:run
``` ```
@@ -23,7 +23,7 @@ public class EmotionSimpleApplication {
System.out.println("========================================"); System.out.println("========================================");
System.out.println("🎉 情感博物馆服务启动成功!"); System.out.println("🎉 情感博物馆服务启动成功!");
System.out.println("📋 服务信息:"); System.out.println("📋 服务信息:");
System.out.println(" - 服务名称: backend-single"); System.out.println(" - 服务名称: server");
System.out.println(" - 服务端口: 19089"); System.out.println(" - 服务端口: 19089");
System.out.println(" - 环境配置: " + System.getProperty("spring.profiles.active")); System.out.println(" - 环境配置: " + System.getProperty("spring.profiles.active"));
System.out.println(" - API文档: http://localhost:19089/api/health"); System.out.println(" - API文档: http://localhost:19089/api/health");
@@ -32,7 +32,7 @@ public class HealthController {
log.info("健康检查请求"); log.info("健康检查请求");
Map<String, Object> response = new HashMap<>(); Map<String, Object> response = new HashMap<>();
response.put("service", "backend-single"); response.put("service", "server");
response.put("message", "情感博物馆单体服务运行正常"); response.put("message", "情感博物馆单体服务运行正常");
response.put("version", "1.0.0"); response.put("version", "1.0.0");
response.put("status", "UP"); response.put("status", "UP");
@@ -50,7 +50,7 @@ public class HealthController {
log.info("服务信息请求"); log.info("服务信息请求");
Map<String, Object> response = new HashMap<>(); Map<String, Object> response = new HashMap<>();
response.put("service", "backend-single"); response.put("service", "server");
response.put("description", "情感博物馆单体服务"); response.put("description", "情感博物馆单体服务");
response.put("version", "1.0.0"); response.put("version", "1.0.0");
response.put("author", "emotion-museum"); response.put("author", "emotion-museum");
+2 -2
View File
@@ -55,7 +55,7 @@ export class AuthService {
* 发送短信验证码(用于登录/注册/找回密码等场景) * 发送短信验证码(用于登录/注册/找回密码等场景)
*/ */
static async sendSmsCode(phone: string) { static async sendSmsCode(phone: string) {
// backend-single: GET /auth/sms-code?phone=xxx // server: GET /auth/sms-code?phone=xxx
const response = await http.get('/auth/sms-code', { params: { phone } }) const response = await http.get('/auth/sms-code', { params: { phone } })
return response.data return response.data
} }
@@ -80,7 +80,7 @@ export class AuthService {
* 获取当前用户信息 * 获取当前用户信息
*/ */
static async getCurrentUserInfo(): Promise<UserInfo> { static async getCurrentUserInfo(): Promise<UserInfo> {
// backend-single: GET /auth/userInfo // server: GET /auth/userInfo
const response = await http.get<UserInfo>('/auth/userInfo') const response = await http.get<UserInfo>('/auth/userInfo')
return response.data return response.data
} }
+4 -4
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@@ -52,7 +52,7 @@ export class ChatApiService {
async createSession(userId: string, title?: string): Promise<ChatSession> { async createSession(userId: string, title?: string): Promise<ChatSession> {
try { try {
console.log('📝 创建会话API调用:', { userId, title }) console.log('📝 创建会话API调用:', { userId, title })
// backend-single: POST /conversation/create // server: POST /conversation/create
const response = await http.post<ConversationResponse>('/conversation/create', { const response = await http.post<ConversationResponse>('/conversation/create', {
userId, userId,
title: title || `对话${Date.now()}` title: title || `对话${Date.now()}`
@@ -89,7 +89,7 @@ export class ChatApiService {
async getUserSessions(userId: string): Promise<ChatSession[]> { async getUserSessions(userId: string): Promise<ChatSession[]> {
try { try {
console.log('📂 获取用户会话API调用:', { userId }) console.log('📂 获取用户会话API调用:', { userId })
// backend-single: GET /conversation/page?userId=xxx // server: GET /conversation/page?userId=xxx
const response = await http.get<any>('/conversation/page', { params: { userId, current: 1, size: 100 } }) const response = await http.get<any>('/conversation/page', { params: { userId, current: 1, size: 100 } })
console.log('📂 获取用户会话API响应:', response) console.log('📂 获取用户会话API响应:', response)
@@ -132,7 +132,7 @@ export class ChatApiService {
async deleteSession(sessionId: string): Promise<void> { async deleteSession(sessionId: string): Promise<void> {
try { try {
console.log('🗑️ 删除会话API调用:', { sessionId }) console.log('🗑️ 删除会话API调用:', { sessionId })
// backend-single: DELETE /conversation/delete?id=xxx // server: DELETE /conversation/delete?id=xxx
await http.delete('/conversation/delete', { params: { id: sessionId } }) await http.delete('/conversation/delete', { params: { id: sessionId } })
console.log('✅ 删除会话成功') console.log('✅ 删除会话成功')
} catch (error) { } catch (error) {
@@ -147,7 +147,7 @@ export class ChatApiService {
async updateSessionTitle(sessionId: string, title: string): Promise<void> { async updateSessionTitle(sessionId: string, title: string): Promise<void> {
try { try {
console.log('✏️ 更新会话标题API调用:', { sessionId, title }) console.log('✏️ 更新会话标题API调用:', { sessionId, title })
// backend-single: PUT /conversation/update 传id和title // server: PUT /conversation/update 传id和title
await http.put('/conversation/update', { id: sessionId, title }) await http.put('/conversation/update', { id: sessionId, title })
console.log('✅ 更新会话标题成功') console.log('✅ 更新会话标题成功')
} catch (error) { } catch (error) {
+4 -4
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@@ -58,7 +58,7 @@ export const messageApi = {
// 获取用户消息分页 // 获取用户消息分页
getUserMessages: async (current: number = 1, size: number = 20) => { getUserMessages: async (current: number = 1, size: number = 20) => {
console.log('📨 调用getUserMessages API:', { current, size }) console.log('📨 调用getUserMessages API:', { current, size })
// backend-single: GET /message/page (后端根据token识别用户) // server: GET /message/page (后端根据token识别用户)
const response = await http.get(`/message/page`, { params: { current, size } }) const response = await http.get(`/message/page`, { params: { current, size } })
console.log('📨 getUserMessages API响应:', response) console.log('📨 getUserMessages API响应:', response)
return response return response
@@ -67,7 +67,7 @@ export const messageApi = {
// 搜索用户消息 // 搜索用户消息
searchUserMessages: async (keyword: string, limit: number = 50) => { searchUserMessages: async (keyword: string, limit: number = 50) => {
console.log('🔍 调用searchUserMessages API:', { keyword, limit }) console.log('🔍 调用searchUserMessages API:', { keyword, limit })
// backend-single: POST /message/search // server: POST /message/search
const resp = await http.post(`/message/search`, { keyword, limit }) const resp = await http.post(`/message/search`, { keyword, limit })
console.log('🔍 searchUserMessages API响应:', resp) console.log('🔍 searchUserMessages API响应:', resp)
// 统一返回数组,兼容控制器返回 PageResult 结构 // 统一返回数组,兼容控制器返回 PageResult 结构
@@ -79,7 +79,7 @@ export const messageApi = {
// 获取用户最近的聊天记录 - 返回数组,兼容后端 PageResult 结构 // 获取用户最近的聊天记录 - 返回数组,兼容后端 PageResult 结构
getRecentMessages: async (limit: number = 10) => { getRecentMessages: async (limit: number = 10) => {
console.log('📝 调用getRecentMessages API:', { limit }) console.log('📝 调用getRecentMessages API:', { limit })
// backend-single: POST /message/recent // server: POST /message/recent
const resp = await http.post(`/message/recent`, { limit }) const resp = await http.post(`/message/recent`, { limit })
console.log('📝 getRecentMessages API响应:', resp) console.log('📝 getRecentMessages API响应:', resp)
const data: any = (resp as any).data || resp const data: any = (resp as any).data || resp
@@ -90,7 +90,7 @@ export const messageApi = {
// 获取消息详情 // 获取消息详情
getMessageById: async (id: string) => { getMessageById: async (id: string) => {
console.log('📄 调用getMessageById API:', { id }) console.log('📄 调用getMessageById API:', { id })
// backend-single: GET /message/detail?id=xxx // server: GET /message/detail?id=xxx
const response = await http.get(`/message/detail`, { params: { id } }) const response = await http.get(`/message/detail`, { params: { id } })
console.log('📄 getMessageById API响应:', response) console.log('📄 getMessageById API响应:', response)
return response return response