Files
StarPunk/docs/design/v1.1.1/v1.1.0-feature-architecture.md
Phil Skentelbery f10d0679da feat(tags): Add database schema and tags module (v1.3.0 Phase 1)
Implements tag/category system backend following microformats2 p-category specification.

Database changes:
- Migration 008: Add tags and note_tags tables
- Normalized tag storage (case-insensitive lookup, display name preserved)
- Indexes for performance

New module:
- starpunk/tags.py: Tag management functions
  - normalize_tag: Normalize tag strings
  - get_or_create_tag: Get or create tag records
  - add_tags_to_note: Associate tags with notes (replaces existing)
  - get_note_tags: Retrieve note tags (alphabetically ordered)
  - get_tag_by_name: Lookup tag by normalized name
  - get_notes_by_tag: Get all notes with specific tag
  - parse_tag_input: Parse comma-separated tag input

Model updates:
- Note.tags property (lazy-loaded, prefer pre-loading in routes)
- Note.to_dict() add include_tags parameter

CRUD updates:
- create_note() accepts tags parameter
- update_note() accepts tags parameter (None = no change, [] = remove all)

Micropub integration:
- Pass tags to create_note() (tags already extracted by extract_tags())
- Return tags in q=source response

Per design doc: docs/design/v1.3.0/microformats-tags-design.md

Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-10 11:24:23 -07:00

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Markdown

# StarPunk v1.1.0 Feature Architecture
## Overview
This document defines the architectural design for the three major features in v1.1.0: Migration System Redesign, Full-Text Search, and Custom Slugs. Each component has been designed following our core principle of minimal, elegant solutions.
## System Architecture Diagram
```
┌─────────────────────────────────────────────────────────────┐
│ StarPunk CMS v1.1.0 │
├─────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────┐ ┌──────────────┐ ┌──────────────────┐ │
│ │ Micropub │ │ Web UI │ │ Search API │ │
│ │ Endpoint │ │ │ │ /api/search │ │
│ └──────┬──────┘ └──────┬───────┘ └────────┬─────────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌──────────────────────────────────────────────────────┐ │
│ │ Application Layer │ │
│ │ ┌────────────┐ ┌────────────┐ ┌────────────────┐ │ │
│ │ │ Custom │ │ Note │ │ Search │ │ │
│ │ │ Slugs │ │ CRUD │ │ Engine │ │ │
│ │ └────────────┘ └────────────┘ └────────────────┘ │ │
│ └──────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌──────────────────────────────────────────────────────┐ │
│ │ Data Layer (SQLite) │ │
│ │ ┌────────────┐ ┌────────────┐ ┌────────────────┐ │ │
│ │ │ notes │ │ notes_fts │ │ migrations │ │ │
│ │ │ table │◄─┤ (FTS5) │ │ table │ │ │
│ │ └────────────┘ └────────────┘ └────────────────┘ │ │
│ │ │ ▲ │ │ │
│ │ └──────────────┴───────────────────┘ │ │
│ │ Triggers keep FTS in sync │ │
│ └──────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌──────────────────────────────────────────────────────┐ │
│ │ File System Layer │ │
│ │ data/notes/YYYY/MM/[slug].md │ │
│ └──────────────────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────┘
```
## Component Architecture
### 1. Migration System Redesign
#### Current Problem
```
[Fresh Install] [Upgrade Path]
│ │
▼ ▼
SCHEMA_SQL Migration Files
(full schema) (partial schema)
│ │
└────────┬───────────────┘
DUPLICATION!
```
#### New Architecture
```
[Fresh Install] [Upgrade Path]
│ │
▼ ▼
INITIAL_SCHEMA_SQL ──────► Migrations
(v1.0.0 only) (changes only)
│ │
└────────┬───────────────┘
Single Source
```
#### Key Components
- **INITIAL_SCHEMA_SQL**: Frozen v1.0.0 schema
- **Migration Files**: Only incremental changes
- **Migration Runner**: Handles both paths intelligently
### 2. Full-Text Search Architecture
#### Data Flow
```
1. User Query
2. Query Parser
3. FTS5 Engine ───► SQLite Query Planner
│ │
▼ ▼
4. BM25 Ranking Index Lookup
│ │
└──────────┬───────────┘
5. Results + Snippets
```
#### Database Schema
```sql
notes (main table) notes_fts (virtual table)
id (PK) rowid (FK)
slug slug (UNINDEXED)
content trigger title
published content
```
#### Synchronization Strategy
- **INSERT Trigger**: Automatically indexes new notes
- **UPDATE Trigger**: Re-indexes modified notes
- **DELETE Trigger**: Removes deleted notes from index
- **Initial Build**: One-time indexing of existing notes
### 3. Custom Slugs Architecture
#### Request Flow
```
Micropub Request
Extract mp-slug ──► No mp-slug ──► Auto-generate
│ │
▼ │
Validate Format │
│ │
▼ │
Check Uniqueness │
│ │
├─► Unique ────────────────────┤
│ │
└─► Duplicate │
│ │
▼ ▼
Add suffix Create Note
(my-slug-2)
```
#### Validation Pipeline
```
Input: "My/Cool/../Post!"
1. Lowercase: "my/cool/../post!"
2. Remove Invalid: "my/cool/post"
3. Security Check: Reject "../"
4. Pattern Match: ^[a-z0-9-/]+$
5. Reserved Check: Not in blocklist
Output: "my-cool-post"
```
## Data Models
### Migration Record
```python
class Migration:
version: str # "001", "002", etc.
description: str # Human-readable
applied_at: datetime
checksum: str # Verify integrity
```
### Search Result
```python
class SearchResult:
slug: str
title: str
snippet: str # With <mark> highlights
rank: float # BM25 score
published: bool
created_at: datetime
```
### Slug Validation
```python
class SlugValidator:
pattern: regex = r'^[a-z0-9-/]+$'
max_length: int = 200
reserved: set = {'api', 'admin', 'auth', 'feed'}
def validate(slug: str) -> bool
def sanitize(slug: str) -> str
def ensure_unique(slug: str) -> str
```
## Interface Specifications
### Search API Contract
```yaml
endpoint: GET /api/search
parameters:
q: string (required) - Search query
limit: int (optional, default: 20, max: 100)
offset: int (optional, default: 0)
published_only: bool (optional, default: true)
response:
200 OK:
content-type: application/json
schema:
query: string
total: integer
results: array[SearchResult]
400 Bad Request:
error: "invalid_query"
description: string
```
### Micropub Slug Extension
```yaml
property: mp-slug
type: string
required: false
validation:
- URL-safe characters only
- Maximum 200 characters
- Not in reserved list
- Unique (or auto-incremented)
example:
properties:
content: ["My post"]
mp-slug: ["my-custom-url"]
```
## Performance Characteristics
### Migration System
- Fresh install: ~100ms (schema + migrations)
- Upgrade: ~50ms per migration
- Rollback: Not supported (forward-only)
### Full-Text Search
- Index build: 1ms per note
- Query latency: <10ms for 10K notes
- Index size: ~30% of text
- Memory usage: Negligible (SQLite managed)
### Custom Slugs
- Validation: <1ms
- Uniqueness check: <5ms
- Conflict resolution: <10ms
- No performance impact on existing flows
## Security Architecture
### Search Security
1. **Input Sanitization**: FTS5 handles SQL injection
2. **Output Escaping**: HTML escaped in snippets
3. **Rate Limiting**: 100 requests/minute per IP
4. **Access Control**: Unpublished notes require auth
### Slug Security
1. **Path Traversal Prevention**: Reject `..` patterns
2. **Reserved Routes**: Block system endpoints
3. **Length Limits**: Prevent DoS via long slugs
4. **Character Whitelist**: Only allow safe chars
### Migration Security
1. **Checksum Verification**: Detect tampering
2. **Transaction Safety**: All-or-nothing execution
3. **No User Input**: Migrations are code-only
4. **Audit Trail**: Track all applied migrations
## Deployment Considerations
### Database Upgrade Path
```bash
# v1.0.x → v1.1.0
1. Backup database
2. Apply migration 002 (FTS5 tables)
3. Build initial search index
4. Verify functionality
5. Remove backup after confirmation
```
### Rollback Strategy
```bash
# Emergency rollback (data preserved)
1. Stop application
2. Restore v1.0.x code
3. Database remains compatible
4. FTS tables ignored by old code
5. Custom slugs work as regular slugs
```
### Container Deployment
```dockerfile
# No changes to container required
# SQLite FTS5 included by default
# No new dependencies added
```
## Testing Strategy
### Unit Test Coverage
- Migration path logic: 100%
- Slug validation: 100%
- Search query parsing: 100%
- Trigger behavior: 100%
### Integration Test Scenarios
1. Fresh installation flow
2. Upgrade from each version
3. Search with special characters
4. Micropub with various slugs
5. Concurrent note operations
### Performance Benchmarks
- 1,000 notes: <5ms search
- 10,000 notes: <10ms search
- 100,000 notes: <50ms search
- Index size: Confirm ~30% ratio
## Monitoring & Observability
### Key Metrics
1. Search query latency (p50, p95, p99)
2. Index size growth rate
3. Slug conflict frequency
4. Migration execution time
### Log Events
```python
# Search
INFO: "Search query: {query}, results: {count}, latency: {ms}"
# Slugs
WARN: "Slug conflict resolved: {original}{final}"
# Migrations
INFO: "Migration {version} applied in {ms}ms"
ERROR: "Migration {version} failed: {error}"
```
## Future Considerations
### Potential Enhancements
1. **Search Filters**: by date, author, tags
2. **Hierarchical Slugs**: `/2024/11/25/post`
3. **Migration Rollback**: Bi-directional migrations
4. **Search Suggestions**: Auto-complete support
### Scaling Considerations
1. **Search Index Sharding**: If >1M notes
2. **External Search**: Meilisearch for multi-user
3. **Slug Namespaces**: Per-user slug spaces
4. **Migration Parallelization**: For large datasets
## Conclusion
The v1.1.0 architecture maintains StarPunk's commitment to minimalism while adding essential features. Each component:
- Solves a specific user need
- Uses standard, proven technologies
- Avoids external dependencies
- Maintains backward compatibility
- Follows the principle: "Every line of code must justify its existence"
The architecture is designed to be understood, maintained, and extended by a single developer, staying true to the IndieWeb philosophy of personal publishing platforms.