**Input**: Feature specification from `/specs/001-build-an-application/spec.md`
**Note**: This template is filled in by the `/speckit.plan` command. See `.specify/templates/commands/plan.md` for the execution workflow.
## Summary
Build a minimal web application using Flask that enables anonymous feedback submission with AI-powered analysis and translation. The system uses a file-based storage approach with folders for each submission, YAML metadata files, and markdown-formatted AI analysis reports. Product owners access analyzed feedback through an authenticated web dashboard. Design prioritizes simplicity and functionality over aesthetics - plain HTML without CSS frameworks or JavaScript libraries.
**POC Scope Update (2025-10-17)**: User Story 4 (Product/Service Registration and Management) has been **deferred** for the proof-of-concept. Products and users will be managed manually via YAML configuration files (`data/products/{id}/config.yaml` and `data/users.yaml`). This decision removes admin UI complexity while maintaining full functionality for POC validation. User Stories 1-3 (Anonymous Submission, AI Analysis, Dashboard) remain in scope and are **IMPLEMENTED**.
*GATE: Must pass before Phase 0 research. Re-check after Phase 1 design.*
### ✅ I. Specification-First Development
**Status**: PASS
Complete specification exists at `specs/001-build-an-application/spec.md` with prioritized user stories (P1-P4), 64 functional requirements with unique IDs (FR-001 to FR-064), measurable success criteria (SC-001 to SC-014), and comprehensive edge cases. All user stories are independently testable.
### ✅ II. Test-First Discipline
**Status**: PASS (Will be enforced during implementation)
Plan includes pytest as testing framework. Implementation phase will follow mandatory workflow: write tests → verify failures → implement code → refactor. Contract and integration tests prioritized per constitution.
### ✅ III. Independent User Stories
**Status**: PASS
Four user stories explicitly prioritized (P1: Anonymous Submission, P2: AI Analysis, P3: Dashboard, P4: Product Management). Each story is independently deliverable and testable. P1 can function standalone, P2 depends only on P1, P3 on P1+P2, P4 adds multi-product support.
### ✅ IV. Simplicity & Justification
**Status**: PASS
Design explicitly minimizes complexity: plain HTML without CSS frameworks, no JavaScript libraries, file-based storage (no database), Flask for web framework (minimal dependencies). User input emphasizes "designed as simple as possible" and "functionality over design."
**Potential Complexity Point**: File-based storage vs. database
- **Decision**: File-based storage with folder-per-feedback structure
- **Rationale**: Simpler deployment, no database setup/maintenance, natural fit for storing files+metadata together, sufficient for MVP scale (100 products × 10k items)
Specification-driven workflow with all documentation in version control under `/specs/001-build-an-application/`. This plan will generate: research.md, data-model.md, contracts/, quickstart.md per constitution requirements.
### Gate Result: ✅ PASS - Proceed to Phase 0 Research
No constitutional violations detected. Complexity Tracking table remains empty.
## Project Structure
### Documentation (this feature)
```
specs/[###-feature]/
├── plan.md # This file (/speckit.plan command output)
│ │ ├── ai_analyzer.py # AI analysis/translation interface
│ │ └── auth.py # Session management
│ ├── models/
│ │ ├── __init__.py
│ │ ├── feedback.py # Feedback domain model
│ │ ├── product.py # Product domain model
│ │ └── user.py # Product owner/admin model
│ ├── templates/ # Plain HTML templates (Jinja2)
│ │ ├── submission_form.html
│ │ ├── dashboard.html
│ │ ├── feedback_detail.html
│ │ └── admin_products.html
│ └── utils/
│ ├── __init__.py
│ ├── file_validator.py # File upload validation
│ └── rate_limiter.py # Submission rate limiting
│
├── data/ # File-based storage root
│ └── products/
│ └── {product-id}/
│ └── feedback/
│ └── {feedback-id}/
│ ├── metadata.yaml
│ ├── analysis.md
│ └── attachments/
│
├── tests/
│ ├── contract/ # API contract tests
│ │ ├── test_submission_api.py
│ │ ├── test_dashboard_api.py
│ │ └── test_admin_api.py
│ ├── integration/ # User journey tests
│ │ ├── test_feedback_submission_flow.py
│ │ ├── test_ai_analysis_flow.py
│ │ └── test_dashboard_access_flow.py
│ └── unit/ # Optional unit tests for complex logic
│ ├── test_feedback_storage.py
│ └── test_file_validator.py
│
├── config/
│ ├── development.py
│ ├── production.py
│ └── testing.py
│
├── requirements.txt
├── pytest.ini
└── run.py # Application entry point
```
**Structure Decision**: Selected web application structure (Option 2 variant) with backend-focused layout since frontend is minimal (plain HTML templates). Flask follows a single-project structure but organized by layers (routes/services/models). The `data/` directory implements the file-based storage requirement with nested folders per product and feedback item. Templates directory contains plain HTML served by Flask without separate frontend build process.
## Complexity Tracking
*Fill ONLY if Constitution Check has violations that must be justified*
No violations detected. Table remains empty.
---
## Post-Design Constitution Re-Check
*Re-evaluated after Phase 1 design completion*
### ✅ I. Specification-First Development
**Status**: PASS (unchanged)
Design artifacts (research.md, data-model.md, contracts/, quickstart.md) generated from specification. No implementation code written yet.
### ✅ II. Test-First Discipline
**Status**: PASS (unchanged)
API contracts define testable behaviors. Contract tests can be written before implementation. Quickstart guide includes test-first workflow examples.
### ✅ III. Independent User Stories
**Status**: PASS (unchanged)
Data model and API contracts support independent implementation of P1→P2→P3→P4 stories. Each has clear endpoints and data structures.
