StarPunk/docs/architecture/v1.1.0-validation-report.md

StarPunk v1.1.0 Implementation Validation & Search UI Design

Date: 2025-11-25 Architect: Claude (StarPunk Architect Agent) Status: Review Complete

Executive Summary

The v1.1.0 implementation by the developer is APPROVED with minor suggestions. All four completed components meet architectural requirements and maintain backward compatibility. The deferred Search UI components have been fully specified below for implementation.

Part 1: Implementation Validation

1. RSS Feed Fix

Status: ✅ Approved

Review Findings:

• Line 97 in starpunk/feed.py correctly applies reversed() to compensate for feedgen's internal ordering
• Regression test test_generate_feed_newest_first() adequately verifies correct ordering
• Test creates 3 notes with distinct timestamps and verifies both database and feed ordering
• Clear comment explains the feedgen behavior requiring the fix

Code Quality:

• Minimal change (single line with reversed())
• Well-documented with explanatory comment
• Comprehensive regression test prevents future issues

Approval: Ready as-is. The fix is elegant and properly tested.

2. Migration System Redesign

Status: ✅ Approved

Review Findings:

• SCHEMA_SQL renamed to INITIAL_SCHEMA_SQL in database.py (line 13)
• Clear documentation: "DO NOT MODIFY - This represents the v1.0.0 schema state"
• Comment properly directs future changes to migration files
• No functional changes, purely documentation improvement

Architecture Alignment:

• Follows ADR-033's philosophy of frozen baseline schema
• Makes intent clear for future developers
• Prevents accidental modifications to baseline

Approval: Ready as-is. The rename clarifies intent without breaking changes.

3. Full-Text Search (Core)

Status: ✅ Approved with minor suggestions

Review Findings:

Migration (005_add_fts5_search.sql):

• FTS5 virtual table schema is correct
• Porter stemming and Unicode61 tokenizer appropriate for international support
• DELETE trigger correctly handles cleanup
• Good documentation explaining why INSERT/UPDATE triggers aren't used

Search Module (search.py):

• Well-structured with clear separation of concerns
• check_fts5_support(): Properly tests FTS5 availability
• update_fts_index(): Correctly extracts title and updates index
• search_notes(): Implements ranking and snippet generation
• rebuild_fts_index(): Provides recovery mechanism
• Graceful degradation implemented throughout

Integration (notes.py):

• Lines 299-307: FTS update after create with proper error handling
• Lines 699-708: FTS update after content change with proper error handling
• Graceful degradation ensures note operations succeed even if FTS fails

Minor Suggestions:

1. Consider adding a config flag ENABLE_FTS to allow disabling FTS entirely
2. The 100-character title truncation (line 94 in search.py) could be configurable
3. Consider logging FTS rebuild progress for large datasets

Approval: Approved. Core functionality is solid with excellent error handling.

4. Custom Slugs

Status: ✅ Approved

Review Findings:

Slug Utils Module (slug_utils.py):

• Comprehensive RESERVED_SLUGS list protects application routes
• sanitize_slug(): Properly converts to valid format
• validate_slug(): Strong validation with regex pattern
• make_slug_unique_with_suffix(): Sequential numbering is predictable and clean
• validate_and_sanitize_custom_slug(): Full validation pipeline

Security:

• Path traversal prevented by rejecting / in slugs
• Reserved slugs protect application routes
• Max length enforced (200 chars)
• Proper sanitization prevents injection attacks

Integration:

• Notes.py (lines 217-223): Proper custom slug handling
• Micropub.py (lines 300-304): Correct mp-slug extraction
• Error messages are clear and actionable

Architecture Alignment:

• Sequential suffixes (-2, -3) are predictable for users
• Hierarchical slugs properly deferred to v1.2.0
• Maintains backward compatibility with auto-generation

Approval: Ready as-is. Implementation is secure and well-designed.

5. Testing & Overall Quality

Test Coverage: 556 tests passing (1 flaky timing test unrelated to v1.1.0)

Version Management:

• Version correctly bumped to 1.1.0 in __init__.py
• CHANGELOG.md properly documents all changes
• Semantic versioning followed correctly

Backward Compatibility: 100% maintained

• Existing notes work unchanged
• Micropub clients need no modifications
• Database migrations handle all upgrade paths

Part 2: Search UI Design Specification

A. Search API Endpoint

File: Create new starpunk/routes/search.py

# Route Definition
@app.route('/api/search', methods=['GET'])
def api_search():
    """
    Search API endpoint

    Query Parameters:
        q (required): Search query string
        limit (optional): Results limit, default 20, max 100
        offset (optional): Pagination offset, default 0

    Returns:
        JSON response with search results

    Status Codes:
        200: Success (even with 0 results)
        400: Bad request (empty query)
        503: Service unavailable (FTS5 not available)
    """

Request Validation:

# Extract and validate parameters
query = request.args.get('q', '').strip()
if not query:
    return jsonify({
        'error': 'Missing required parameter: q',
        'message': 'Search query cannot be empty'
    }), 400

# Parse limit with bounds checking
try:
    limit = min(int(request.args.get('limit', 20)), 100)
    if limit < 1:
        limit = 20
except ValueError:
    limit = 20

# Parse offset
try:
    offset = max(int(request.args.get('offset', 0)), 0)
except ValueError:
    offset = 0

Authentication Consideration:

# Check if user is authenticated (for unpublished notes)
from starpunk.auth import get_current_user
user = get_current_user()
published_only = (user is None)  # Anonymous users see only published

Search Execution:

from starpunk.search import search_notes, has_fts_table
from pathlib import Path

db_path = Path(app.config['DATABASE_PATH'])

# Check FTS availability
if not has_fts_table(db_path):
    return jsonify({
        'error': 'Search unavailable',
        'message': 'Full-text search is not configured on this server'
    }), 503

try:
    results = search_notes(
        query=query,
        db_path=db_path,
        published_only=published_only,
        limit=limit,
        offset=offset
    )
except Exception as e:
    app.logger.error(f"Search failed: {e}")
    return jsonify({
        'error': 'Search failed',
        'message': 'An error occurred during search'
    }), 500

Response Format:

# Format response
response = {
    'query': query,
    'count': len(results),
    'limit': limit,
    'offset': offset,
    'results': [
        {
            'slug': r['slug'],
            'title': r['title'] or f"Note from {r['created_at'][:10]}",
            'excerpt': r['snippet'],  # Already has <mark> tags
            'published_at': r['created_at'],
            'url': f"/notes/{r['slug']}"
        }
        for r in results
    ]
}

return jsonify(response), 200

B. Search Box UI Component

File to Modify: templates/base.html

Location: In the navigation bar, after the existing nav links

HTML Structure:

<!-- Add to navbar after existing nav items, before auth section -->
<form class="d-flex ms-auto me-3" action="/search" method="get" role="search">
    <input
        class="form-control form-control-sm me-2"
        type="search"
        name="q"
        placeholder="Search notes..."
        aria-label="Search"
        value="{{ request.args.get('q', '') }}"
        minlength="2"
        maxlength="100"
        required
    >
    <button class="btn btn-outline-secondary btn-sm" type="submit">
        <i class="bi bi-search"></i>
    </button>
</form>

Behavior:

• Form submission (full page load, no AJAX for v1.1.0)
• Minimum query length: 2 characters (HTML5 validation)
• Maximum query length: 100 characters
• Preserves query in search box when on search results page

C. Search Results Page

File: Create new templates/search.html

{% extends "base.html" %}

{% block title %}Search{% if query %}: {{ query }}{% endif %} - {{ config.SITE_NAME }}{% endblock %}

{% block content %}
<div class="container py-4">
    <div class="row">
        <div class="col-lg-8 mx-auto">
            <!-- Search Header -->
            <div class="mb-4">
                <h1 class="h3">Search Results</h1>
                {% if query %}
                <p class="text-muted">
                    Found {{ results|length }} result{{ 's' if results|length != 1 else '' }}
                    for "<strong>{{ query }}</strong>"
                </p>
                {% endif %}
            </div>

            <!-- Search Form (for new searches) -->
            <div class="card mb-4">
                <div class="card-body">
                    <form action="/search" method="get" role="search">
                        <div class="input-group">
                            <input
                                type="search"
                                class="form-control"
                                name="q"
                                placeholder="Enter search terms..."
                                value="{{ query }}"
                                minlength="2"
                                maxlength="100"
                                required
                                autofocus
                            >
                            <button class="btn btn-primary" type="submit">
                                Search
                            </button>
                        </div>
                    </form>
                </div>
            </div>

            <!-- Results -->
            {% if query %}
                {% if results %}
                    <div class="search-results">
                        {% for result in results %}
                        <article class="card mb-3">
                            <div class="card-body">
                                <h2 class="h5 card-title">
                                    <a href="{{ result.url }}" class="text-decoration-none">
                                        {{ result.title }}
                                    </a>
                                </h2>
                                <div class="card-text">
                                    <!-- Excerpt with highlighted terms (safe because we control the <mark> tags) -->
                                    <p class="mb-2">{{ result.excerpt|safe }}</p>
                                    <small class="text-muted">
                                        <time datetime="{{ result.published_at }}">
                                            {{ result.published_at|format_date }}
                                        </time>
                                    </small>
                                </div>
                            </div>
                        </article>
                        {% endfor %}
                    </div>

                    <!-- Pagination (if more than limit results possible) -->
                    {% if results|length == limit %}
                    <nav aria-label="Search pagination">
                        <ul class="pagination justify-content-center">
                            {% if offset > 0 %}
                            <li class="page-item">
                                <a class="page-link" href="/search?q={{ query|urlencode }}&offset={{ max(0, offset - limit) }}">
                                    Previous
                                </a>
                            </li>
                            {% endif %}
                            <li class="page-item">
                                <a class="page-link" href="/search?q={{ query|urlencode }}&offset={{ offset + limit }}">
                                    Next
                                </a>
                            </li>
                        </ul>
                    </nav>
                    {% endif %}
                {% else %}
                    <!-- No results -->
                    <div class="alert alert-info" role="alert">
                        <h4 class="alert-heading">No results found</h4>
                        <p>Your search for "<strong>{{ query }}</strong>" didn't match any notes.</p>
                        <hr>
                        <p class="mb-0">Try different keywords or check your spelling.</p>
                    </div>
                {% endif %}
            {% else %}
                <!-- No query yet -->
                <div class="text-center text-muted py-5">
                    <i class="bi bi-search" style="font-size: 3rem;"></i>
                    <p class="mt-3">Enter search terms above to find notes</p>
                </div>
            {% endif %}

            <!-- Error state (if search unavailable) -->
            {% if error %}
            <div class="alert alert-warning" role="alert">
                <h4 class="alert-heading">Search Unavailable</h4>
                <p>{{ error }}</p>
                <hr>
                <p class="mb-0">Full-text search is temporarily unavailable. Please try again later.</p>
            </div>
            {% endif %}
        </div>
    </div>
</div>
{% endblock %}

Route Handler: Add to starpunk/routes/search.py

@app.route('/search')
def search_page():
    """
    Search results HTML page
    """
    query = request.args.get('q', '').strip()
    limit = 20  # Fixed for HTML view
    offset = 0

    try:
        offset = max(int(request.args.get('offset', 0)), 0)
    except ValueError:
        offset = 0

    # Check authentication for unpublished notes
    from starpunk.auth import get_current_user
    user = get_current_user()
    published_only = (user is None)

    results = []
    error = None

    if query:
        from starpunk.search import search_notes, has_fts_table
        from pathlib import Path

        db_path = Path(app.config['DATABASE_PATH'])

        if not has_fts_table(db_path):
            error = "Full-text search is not configured on this server"
        else:
            try:
                results = search_notes(
                    query=query,
                    db_path=db_path,
                    published_only=published_only,
                    limit=limit,
                    offset=offset
                )
            except Exception as e:
                app.logger.error(f"Search failed: {e}")
                error = "An error occurred during search"

    return render_template(
        'search.html',
        query=query,
        results=results,
        error=error,
        limit=limit,
        offset=offset
    )

D. Integration Points

1. Route Registration: In starpunk/routes/__init__.py, add:

from starpunk.routes.search import register_search_routes
register_search_routes(app)

2. Template Filter: Add to starpunk/app.py or template filters:

@app.template_filter('format_date')
def format_date(date_string):
    """Format ISO date for display"""
    from datetime import datetime
    try:
        dt = datetime.fromisoformat(date_string.replace('Z', '+00:00'))
        return dt.strftime('%B %d, %Y')
    except:
        return date_string

3. App Startup FTS Index: Add to create_app() after database init:

# Initialize FTS index if needed
from starpunk.search import has_fts_table, rebuild_fts_index
from pathlib import Path

db_path = Path(app.config['DATABASE_PATH'])
data_path = Path(app.config['DATA_PATH'])

if has_fts_table(db_path):
    # Check if index is empty (fresh migration)
    import sqlite3
    conn = sqlite3.connect(db_path)
    count = conn.execute("SELECT COUNT(*) FROM notes_fts").fetchone()[0]
    conn.close()

    if count == 0:
        app.logger.info("Populating FTS index on first run...")
        try:
            rebuild_fts_index(db_path, data_path)
        except Exception as e:
            app.logger.error(f"Failed to populate FTS index: {e}")

E. Testing Requirements

Unit Tests (tests/test_search_api.py):

def test_search_api_requires_query()
def test_search_api_validates_limit()
def test_search_api_returns_results()
def test_search_api_handles_no_results()
def test_search_api_respects_authentication()
def test_search_api_handles_fts_unavailable()

Integration Tests (tests/test_search_integration.py):

def test_search_page_renders()
def test_search_page_displays_results()
def test_search_page_handles_no_results()
def test_search_page_pagination()
def test_search_box_in_navigation()

Security Tests:

def test_search_prevents_xss_in_query()
def test_search_prevents_sql_injection()
def test_search_escapes_html_in_results()
def test_search_respects_published_status()

Implementation Recommendations

Priority Order

1. Implement /api/search endpoint first (enables programmatic access)
2. Add search box to base.html navigation
3. Create search results page template
4. Add FTS index population on startup
5. Write comprehensive tests

Estimated Effort

• API Endpoint: 1 hour
• Search UI (box + results page): 1.5 hours
• FTS startup population: 0.5 hours
• Testing: 1 hour
• Total: 4 hours

Performance Considerations

1. FTS5 queries are fast but consider caching frequent searches
2. Limit default results to 20 for HTML view
3. Add index on notes_fts(rank) if performance issues arise
4. Consider async FTS index updates for large notes

Security Notes

1. Always escape user input in templates
2. Use |safe filter only for our controlled <mark> tags
3. Validate query length to prevent DoS
4. Rate limiting recommended for production (not required for v1.1.0)

Conclusion

The v1.1.0 implementation is APPROVED for release pending Search UI completion. The developer has delivered high-quality, well-tested code that maintains architectural principles and backward compatibility.

The Search UI specifications provided above are complete and ready for implementation. Following these specifications will result in a fully functional search feature that integrates seamlessly with the existing FTS5 implementation.

Next Steps

1. Developer implements Search UI per specifications (4 hours)
2. Run full test suite including new search tests
3. Update version and CHANGELOG if needed
4. Create v1.1.0-rc.1 release candidate
5. Deploy and test in staging environment
6. Release v1.1.0

---

Architect Sign-off: ✅ Approved Date: 2025-11-25 StarPunk Architect Agent