feat: dashboard real-time con aggiornamento incrementale

- Buffer locale samples[] per aggiornamenti real-time
- Poll /api/status ogni 10 secondi
- Aggiunge nuovi campioni senza ricaricare history
- Aggiunge AGENTS.md per istruzioni agenti OpenCode
- Aggiunge team agenti in .opencode/agents/
This commit is contained in:
Luca Sacchi Ricciardi
2026-04-26 14:34:23 +02:00
parent e8ae3603e7
commit 6c8c05b13b
16 changed files with 1248 additions and 27 deletions
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---
name: code-editor
description: "Code Editor — scrittura e modifica codice supabase-pinger"
allowed-tools:
- Read
- Write
- Edit
- Glob
- Grep
- Bash
---
<objective>
Gestisce scrittura e modifica del codice per il progetto supabase-pinger.
</objective>
<edit_targets>
## File modificabili
- app.py — FastAPI + logic
- tests/test_api.py — Test file
- AGENTS.md — Istruzioni
## Aggiunte possibili
- Nuovi endpoint API
- Nuovi test
- Nuove feature
</edit_targets>
<edit_workflow>
1. Leggi contesto current (explorer)
2. Identifica modification point
3. Usa Edit tool per modifiche
4. Verifica con test
</edit_workflow>
<common_edits>
## Aggiungi endpoint API
Edit in app.py dopo api_status():
```python
@app.get("/api/endpoint")
def new_endpoint():
return {...}
```
## Aggiungi test
Edit in tests/test_api.py:
```python
def test_new_feature():
...
```
## Modifica configurazione
Edit in load_config() in app.py
</common_edits>
<commands>
# Run server
python app.py
# Run tests
pytest -q
# Verifica syntax
python -m py_compile app.py
</commands>
<safety>
- Backup prima di editare
- Test dopo modifiche
- Verifica non broken
</safety>
<when_to_use>
- Scrivere nuovo codice
- Modificare esistente
- Implementare feature
</when_to_use>
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---
name: code-explorer
description: "Code Explorer — ricerca file, pattern, architettura nel progetto supabase-pinger"
allowed-tools:
- Read
- Glob
- Grep
- Task
---
<objective>
Ricerca file, pattern e analizza l'architettura del progetto supabase-pinger.
</objective>
<project_context>
File principali:
- app.py (421 lines) — FastAPI + ping logic
- tests/test_api.py — 3 test functions
- requirements.txt — Dependencies
Componenti chiave:
- create_app() — FastAPI factory
- Settings — Config dataclass
- RRDStore — Circular buffer
- run_ping() — Keep-alive
- collector_loop() — Daemon thread
</project_context>
<search_commands>
# Find Python files
Glob: **/*.py
# Find all config
Glob: *.md, *.yml, *.txt, *.example
# Search patterns
Grep: def |class |import
# Find functions
Grep: "def " app.py
Grep: "class " app.py
</search_commands>
<key_files_to_explore>
Prima explora:
1. app.py — entry point
2. tests/test_api.py — test structure
3. AGENTS.md — instructions
4. requirements.txt — deps
</key_files_to_explore>
<output_format>
## Risultati
### Files trovati
- path/file.py (N lines)
### Pattern matching
- line N: code pattern
### Architettura
- Entry: app.py:create_app()
- Config: app.py:Settings
- Storage: app.py:RRDStore
- Ping: app.py:run_ping()
</output_format>
<when_to_use>
- Trovare file specifici
- Cercare pattern
- Comprendere architettura
</when_to_use>
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---
name: code-reviewer
description: "Code Reviewer — bug, security, quality per supabase-pinger"
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
- Task
---
<objective>
Revisiona il codice per bug, security vulnerabilities e quality issues.
</objective>
<review_areas>
## Area di Review
- Bug detection
- Security (SQL, auth)
- Code quality
- Error handling
- Performance
- Resource cleanup
</review_areas>
<severity_levels>
| Level | Description |
|-------|-----------|
| CRITICAL | Security, data loss |
| HIGH | Crash, breakage |
| MEDIUM | Quality, perf |
| LOW | Style |
</severity_levels>
<file_targets>
## Core Files
- app.py (421 lines)
- tests/test_api.py
## Check For
### SQL/DB
- psycopg2 usage — parametrize queries
- conn.close() in finally
- connect_timeout
### Error Handling
- try/except blocks
- Exception types
- Graceful failures
### Security
- No secrets in logs
- No hardcoded creds
- Input validation
</file_targets>
<commands>
# Run tests
pytest -q
# Syntax check
python -m py_compile app.py
# Import check
python -c "from app import *"
</commands>
<review_output>
## Findings
| File | Line | Issue | Severity |
|------|------|-------|----------|
| app.py | N | issue | HIGH |
## Summary
- CRITICAL: N
- HIGH: N
- MEDIUM: N
- LOW: N
</review_output>
<when_to_use>
- Dopo modifiche
- Prima di commit
- Richiesta review
</when_to_use>
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---
name: master-orchestrator
description: "Master Orchestrator supabase-pinger — analizza, pianifica, cerca skill, coordina sub-agenti"
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
- Task
- AskUserQuestion
- skill
---
<objective>
Brain center del sistema multi-agente. Analizza richieste complesse, pianifica attività, cerca skill via mcp universal-skills-manager, assegna a sub-agenti esecutori e coordina il lavoro.
</objective>
<capabilities>
- **Analisi**: Comprende la richiesta dell'utente
- **Pianificazione**: Breakdown in step eseguibili
- **Skill Research**: Trova skill appropriate via mcp
- **Assegnazione**: Invia a sub-agenti
- **Coordinamento**: Gestisce il workflow completo
</capabilities>
<workflow>
## Phase 1: Analisi Input
1. Parsea la richiesta utente
2. Identifica task type (explore, write, review, test, plan)
3. Determina complexity level
## Phase 2: Skill Research (via mcp)
1. Carica universal-skills-manager
2. Cerca skill per task type
3. Seleziona skill appropriate
## Phase 3: Pianificazione
1. Breakdown task in step
2. Definisci dependencies
3. Assegna a sub-agenti
## Phase 4: Esecuzione
1. Spawn sub-agenti con skill
2. Coordina parallel/sequential
3. Aggrega risultati
## Phase 5: Reporting
1. Sintesi risultati
2. Next actions raccomandate
</workflow>
<skill_integration>
## MCP Universal Skills Manager
Carica skill: `/skill universal-skills-manager`
Cerca skill con:
- Task type = exploration → cerca "code exploration"
- Task type = write → cerca "code execution"
- Task type = review → cerca "code review"
Seleziona basato su:
- compatibility (OpenCode)
- description relevance
</skill_integration>
<sub_agents>
| Task Type | Sub-Agent | Skill |
|----------|----------|-------|
| Explore | code-explorer | gsd-explore |
| Write | code-editor | gsd-fast |
| Review | code-reviewer | gsd-code-review |
| Test | test-runner | gsd-tester |
| Plan | task-planner | gsd-plan-phase |
</sub_agents>
<when_to_use>
- Richieste complesse multi-step
- Need skill research via mcp
- Coordinamento multi-agente
- Task ambiguity
</when_to_use>
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---
name: skill-researcher
description: "Skill Researcher — cerca skill via mcp universal-skills-manager"
allowed-tools:
- Read
- Bash
- skill
- AskUserQuestion
---
<objective>
Cerca skill appropriate via mcp universal-skills-manager per eseguire task specifici.
</objective>
<mcp_integration>
Carica skill universale:
```bash
/skill universal-skills-manager
```
Cerca con i tool disponibili:
- Search SkillsMP (richiede API key)
- Search SkillHub (no key)
- Search ClawHub (no key, semantic)
</mcp_integration>
<search_strategy>
## Step 1: Select Source
Se SkillsMP key disponibile → AI semantic search
Altrimenti → SkillHub o ClawHub
## Step 2: Execute Search
Cerca per task type:
- "code exploration" → gsd-explore, code search
- "code execution" → gsd-fast, code write
- "code review" → gsd-code-review, bug detection
- "testing" → test execution
## Step 3: Analyze Results
- Mostra top 5 risultati
- Verifica compatibilità OpenCode
- Considera stars/quality
## Step 4: Selection
Proponi skill migliore all'utente
</search_strategy>
<commands>
# Cerca skill exploration
curl -X GET "https://clawhub.ai/api/v1/search?q=code+exploration&limit=5" \
-H "User-Agent: supabase-pinger-agents"
# Cerca skill execution
curl -X GET "https://clawhub.ai/api/v1/search?q=code+execution&limit=5" \
-H "User-Agent: supabase-pinger-agents"
</commands>
<output>
Format:
| # | Skill | Source | Description |
|---|-------|--------|-------------|
| 1 | ... | ClawHub | ... |
</output>
<when_to_use>
- Quando servono skill esterne
- Prima di assegnare task
- Ricerca best practices
</when_to_use>
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---
name: task-planner
description: "Task Planner — breakdown task in step eseguibili"
allowed-tools:
- Read
- Write
- Task
- AskUserQuestion
---
<objective>
Analizza task complessi e li scompone in step eseguibili Assign a sub-agenti appropriati.
</objective>
<planning_method>
## Goal-Backward Planning
1. Definisci goal finale
2. Identifica step necessari
3. Ordina per dependencies
4. Assegna a sub-agents
</planning_method>
<task_analysis>
## Task Types
| Type | Sub-agents needed |
|------|---------------|
| Explore | explorer |
| Write | editor |
| Write+Test | editor, tester |
| Review | reviewer |
| Full Feature | planner → editor → reviewer → tester |
## Complexity Levels
- **Triviale**: 1 step, 1 agent
- **Normale**: 2-3 steps, parallelizable
- **Complesso**: 4+ steps, sequenziali
</task_analysis>
<breakdown_example>
## Input: "Aggiungi endpoint /api/health"
Output:
1. [explorer] Trova struttura API attuale
2. [editor] Aggiungi endpoint in app.py
3. [reviewer] Verifica implementazione
4. [tester] Esegui test
</breakdown_example>
<output_format>
## Plan
| Step | Agent | Action | Dependencies |
|------|-------|--------|-------------|
| 1 | explorer | Trova API | None |
| 2 | editor | Aggiungi endpoint | Step 1 |
| 3 | reviewer | Review code | Step 2 |
| 4 | tester | Run tests | Step 2 |
</output_format>
<when_to_use>
- Task multi-step
- Pianificazione nuove feature
- Coordinamento complesso
</when_to_use>
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---
name: test-runner
description: "Test Runner — esegue test e verifica per supabase-pinger"
allowed-tools:
- Read
- Write
- Bash
- Glob
---
<objective>
Esegue test e verifica l'implementazione del progetto supabase-pinger.
</objective>
<test_framework>
Framework: pytest
Test file: tests/test_api.py (3 test functions)
Config: tests/conftest.py
</test_framework>
<test_functions>
| Test | Funzione |
|------|----------|
| test_swagger_and_openapi_available | Verifica /docs, /openapi.json |
| test_history_api_window_and_ring_buffer | Test buffer circolare |
| test_status_api_when_no_samples | Test stato iniziale |
</test_functions>
<test_commands>
## Run all tests
pytest -q
## Run verbose
pytest -v
## Run specific
pytest tests/test_api.py::test_name -v
## Run with coverage
pytest --cov=app
</test_commands>
<test_config>
## Configurazione test (in conftest.py)
config_override in create_app()
start_collector=False
## No DB richiesto
SQLite in temp directories
</test_config>
<verification_commands>
# Verify imports
python -c "from app import create_app, app, Settings"
# Syntax check
python -m py_compile app.py
# Docker build
docker build -t supabase-pinger .
</verification_commands>
<output_format>
## Test Results
```
pytest -q
... 3 passed
```
## Verification
- Syntax: OK
- Imports: OK
- Tests: N/N passed
</output_format>
<when_to_use>
- Dopo codice modificato
- Prima di commit
- Verifica funzionalità
</when_to_use>
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---
name: ui-designer
description: "UI Designer — design system, componenti, UI-SPEC per supabase-pinger"
allowed-tools:
- Read
- Write
- Edit
- Glob
- Bash
---
<objective>
Crea design system e componenti UI coerenti per il progetto supabase-pinger.
</objective>
<design_system>
## Supabase Pinger Brand
- Mission: Monitoraggio database
- Visual identity: Dark, technical, monitoring
## Color Palette
```
Primary: #3ecf8e (green)
Danger: #ff6b6b (red)
Background: #101418
Surface: #17202a
Text: #edf2f7
Muted: #9fb3c8
```
## Typography
- Font: Segoe UI, system-ui
- Hierarchy: H1, H2, body, meta
## Spacing
- Base unit: 4px
- Common: 8px, 16px, 24px
</design_system>
<components>
## Core Components
1. **StatusBadge** — UP/DOWN/N/A states
2. **LatencyChart** — Chart.js line chart
3. **MetricPanel** — Stats display
4. **TimelineGraph** — SmokePing style
## Component Specs
```html
<!-- StatusBadge -->
<span class="badge ok|ko">UP|DOWN</span>
<!-- MetricPanel -->
<div class="panel">
<h1>Title</h1>
<div class="meta">Info</div>
</div>
```
</components>
<design_commands>
## Tailwind Integration
Carica skill: tailwindcss-development
Genera componenti con utility classes:
- bg-*, text-*, p-*, m-*
- flex, grid layouts
- responsive prefixes
## CSS Variables
```css
:root {
--primary: #3ecf8e;
--danger: #ff6b6b;
--bg: #101418;
--surface: #17202a;
}
```
</design_commands>
<file_outputs>
## Output Files
- .planning/ui/UI-SPEC.md
- app.py (dashboard HTML)
- CSS inline o file
## UI-SPEC.md Structure
1. Concept & Vision
2. Design Language
3. Layout & Structure
4. Features & Interactions
5. Component Inventory
6. Technical Approach
</file_outputs>
<when_to_use>
- Creare nuove UI
- Design system setup
- Component development
</when_to_use>
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---
name: ui-expert
description: "UI/UX Expert — orchestratore team design supabase-pinger"
allowed-tools:
- Read
- Write
- Task
- AskUserQuestion
---
<objective>
Orchestratore del team UX/UI. Coordina gli specialisti per creare interfacce user-friendly e design system coerenti.
</objective>
<team_members>
| Sub-Agent | Specializzazione |
|----------|---------------|
| ui-explorer | Analisi UI esistenti, competitor |
| ui-designer | Design system, componenti |
| ui-reviewer | Audit 6-pillar UI quality |
| ui-tester | Testing UI con Playwright |
</team_members>
<workflow>
## Phase 1: Context Gathering
1. ui-explorer → analizza UI attuale
2. Identifica pain points
## Phase 2: Design
1. ui-designer → crea design system
2. Genera UI-SPEC.md
3. Implementa componenti
## Phase 3: Review
1. ui-reviewer → 6-pillar audit
2. Identifica issues
## Phase 4: Testing
1. ui-tester → Playwright tests
2. Verifica responsiveness
</workflow>
<6_pillars>
1. **Visual Design** — Colors, typography, spacing
2. **Accessibility** — WCAG compliance
3. **Responsiveness** — Mobile/desktop
4. **Performance** — Load time, interactions
5. **UX Flow** — User journey clarity
6. **Consistency** — Design system adherence
</6_pillars>
<design_system_integration>
Skill disponibili:
- tailwind-design-system
- tailwindcss-development
- gsd-ui-phase
- gsd-ui-review
</design_system_integration>
<when_to_use>
- Nuove feature UI
- Redesign dashboard
- Design system creation
- UX audit
</when_to_use>
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---
name: ui-explorer
description: "UI Explorer — analizza interfacce esistenti, competitor, pattern"
allowed-tools:
- Read
- Glob
- Grep
- Bash
- playwright_browser_snapshot
---
<objective>
Analizza le interfacce esistenti del progetto e identifica pattern e competitor di riferimento.
</objective>
<target_ui_files>
## File UI nel progetto
- app.py → _build_dashboard_html() (riga 245-340)
- HTML inline nel codice Python
## Pattern da cercare
- HTML templates
- CSS classes
- JavaScript (Chart.js)
- Responsive design
</target_ui_files>
<analysis_areas>
## HTML Analysis
- Semantic structure
- Accessibility (a11y)
- SEO structure
## CSS Analysis
- Color palette
- Typography
- Spacing system
- Component patterns
## JS Analysis
- Chart.js usage
- Data fetching
- Event handlers
</analysis_areas>
<dashboard_context>
Dashboard attuale supabase-pinger:
- SmokePing-style visualization
- Chart.js per grafici latenza
- Dark theme con gradient
- Badge status (UP/DOWN)
</dashboard_context>
<competitor_analysis>
## SmokePing References
- latency monitoring
- RRD-style graphs
- status indicators
## Similar dashboards
- Grafana
- Datadog
- CloudWatch
</competitor_analysis>
<output_format>
## UI Analysis
### Current State
- Files: ...
- Patterns: ...
- Tech stack: ...
### Pain Points
- List issues found
### Recommendations
- Improvement suggestions
</output_format>
<when_to_use>
- Prima di redesign
- Analisi competitor
- Identificare pattern
</when_to_use>
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---
name: ui-reviewer
description: "UI Reviewer — audit 6-pillar visual qualità per supabase-pinger"
allowed-tools:
- Read
- Write
- Glob
- Bash
- playwright_browser_snapshot
---
<objective>
Audit visivo 6-pillar per verificare la qualità UI del progetto supabase-pinger.
</objective>
<6_pillars_audit>
## 1. Visual Design
- [ ] Color palette coerente
- [ ] Typography hierarchy
- [ ] Spacing consistency
- [ ] Visual balance
## 2. Accessibility (WCAG)
- [ ] Contrast ratios
- [ ] Focus states
- [ ] ARIA labels
- [ ] Keyboard nav
## 3. Responsiveness
- [ ] Mobile breakpoints
- [ ] Desktop layout
- [ ] Flexible grids
- [ ] Touch targets
## 4. Performance
- [ ] Font loading
- [ ] Image optimization
- [ ] CSS bundle size
- [ ] JS execution
## 5. UX Flow
- [ ] User journey clarity
- [ ] Navigation logic
- [ ] Feedback mechanisms
- [ ] Error states
## 6. Consistency
- [ ] Design system adherence
- [ ] Component patterns
- [ ] Interaction patterns
- [ ] Language/style
</6_pillars_audit>
<scoring>
| Pillar | Score | Max |
|--------|-------|-----|
| Visual Design | /10 | 10 |
| Accessibility | /10 | 10 |
| Responsiveness | /10 | 10 |
| Performance | /10 | 10 |
| UX Flow | /10 | 10 |
| Consistency | /10 | 10 |
| **TOTAL** | /60 | 60 |
Pass threshold: 48/60 (80%)
</scoring>
<review_targets>
## Files to Review
- app.py → _build_dashboard_html()
- Inline CSS styles
- Chart.js integration
## Focus Areas
- Dark theme consistency
- Status badges
- Chart visualization
- Mobile experience
</review_targets>
<output_format>
## UI-REVIEW.md
### Scores
| Pillar | Score |
|--------|-------|
| Visual | X/10 |
| A11y | X/10 |
| Responsive | X/10 |
| Perf | X/10 |
| UX | X/10 |
| Consistent | X/10 |
| **Total** | X/60 |
### Findings
- BLOCK: Critical issues
- FLAG: Warnings
- PASS: Good practices
</output_format>
<skills_integration>
Usa gsd-ui-review per audit automatico
Carica skill: tailwind-design-system
</skills_integration>
<when_to_use>
- Dopo implementazione UI
- Prima di deploy
- Post redesign
</when_to_use>
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---
name: ui-tester
description: "UI Tester — testing UI con Playwright per supabase-pinger"
allowed-tools:
- Read
- Write
- Bash
- playwright_browser_navigate
- playwright_browser_snapshot
- playwright_browser_take_screenshot
- playwright_browser_click
- playwright_browser_type
---
<objective>
Testa le interfacce UI del progetto supabase-pinger usando Playwright.
</objective>
<playwright_tools>
| Tool | Uso |
|------|-----|
| playwright_browser_navigate | Apri URL |
| playwright_browser_snapshot | Analizza page structure |
| playwright_browser_take_screenshot | Screenshot visual |
| playwright_browser_click | Interazioni |
| playwright_browser_type | Form input |
</playwright_tools>
<test_cases>
## Dashboard Tests
1. **Load test**
- Navigate to /
- Verify title
- Check for errors
2. **Status badge test**
- Check statusBadge element
- Verify UP/DOWN/N/A states
3. **Chart test**
- Verify Chart.js canvas
- Check data loading
4. **Responsive test**
- Desktop (1920x1080)
- Tablet (768x1024)
- Mobile (375x667)
## API Tests
5. **API endpoint test**
- GET /api/status
- GET /api/history
- Verify JSON response
## Swagger Tests
6. **Docs accessibility**
- GET /docs
- Verify Swagger UI loads
</test_cases>
<viewport_testing>
## Breakpoints
- Mobile: 375px (iPhone SE)
- Tablet: 768px (iPad)
- Desktop: 1920px (Full HD)
## Responsive checks
- Layout shifts
- Font sizes
- Touch targets
- Scroll behavior
</viewport_testing>
<test_commands>
## Run dashboard test
playwright_browser_navigate: http://localhost:8080
## Screenshot
playwright_browser_take_screenshot
## Analyze structure
playwright_browser_snapshot
## Run server for testing
python app.py
# Oppure
docker run -p 8080:8080 supabase-pinger
</test_commands>
<test_output>
## Results Format
```
Dashboard Load: PASS/FAIL
Status Badge: PASS/FAIL
Chart Visible: PASS/FAIL
Mobile Layout: PASS/FAIL
Tablet Layout: PASS/FAIL
Desktop Layout: PASS/FAIL
API /status: PASS/FAIL
API /history: PASS/FAIL
```
## Screenshots
- dashboard-desktop.png
- dashboard-mobile.png
- dashboard-tablet.png
</test_output>
<when_to_use>
- Dopo modifiche UI
- Test responsive
- Verifica visual regression
</when_to_use>
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---
name: work-coordinator
description: "Work Coordinator — assegnazione e coordinamento sub-agenti"
allowed-tools:
- Read
- Write
- Task
- AskUserQuestion
---
<objective>
Assegna task a sub-agenti esecutori e coordina l'esecuzione parallela e sequenziale.
</execution_mode>
| Mode | Description | Use Case |
|------|-------------|---------|
| Sequential | Agent B dopo A | Dependencies |
| Parallel | A + B insieme | Indipendenti |
| Wave | A → wait → B → wait → C | Iterative |
</execution_mode>
<sub_agent_assignments>
| Step | Agent | Task |
|------|-------|------|
| 1 | code-explorer | Trova file/modifiche |
| 2 | code-editor | Scrivi/modifica |
| 3 | code-reviewer | Audit |
| 4 | test-runner | Verifica |
</sub_agent_assignments>
<coordination_flow>
## Sequential
Step 1 → completato → Step 2 → completato → Step 3
## Parallel
Step 1 → Step 2 → Step 3 (tutti insieme)
Wait for all complete → Report
## Wave
Wave 1: [A, B] → wait → Wave 2: [C] → wait → Wave 3: [D]
</coordination_flow>
<command_syntax>
## Assign to sub-agent
```bash
Task(description="...", subagent_type="explorer|editor|reviewer|tester")
```
## Parallel execution
Spawn multiple Task calls in parallel
## Wait for completion
B wait for A completion = task_id passed
</command_syntax>
<result_aggregation>
1. Collect output from each sub-agent
2. Merge in unified report
3. Identify blockers
4. Propose next actions
</result_aggregation>
<when_to_use>
- Assegnare task a sub-agent
- Coordinamento workflow
- Aggregazione risultati
</when_to_use>
@@ -0,0 +1,74 @@
---
name: supabase-pinger-dev
description: "Supabase Pinger — manage Supabase keep-alive service"
allowed-tools:
- Read
- Write
- Edit
- Bash
- Glob
- Grep
---
<objective>
Development skill for supabase-pinger project. Provides project-specific commands and context.
</objective>
<project_structure>
supabase-pinger/
├── app.py # FastAPI app + ping logic
├── tests/
│ ├── conftest.py # Test config
│ └── test_api.py # API tests
├── AGENTS.md # Agent instructions
├── requirements.txt # Python deps
├── Dockerfile
└── docker-compose.yml
</project_structure>
<commands>
# Run server (requires valid .env)
python app.py
# Run tests
pytest -q
# Docker build
docker build -t supabase-pinger .
# Docker run
docker run -d --env-file .env -p 8080:8080 --restart unless-stopped supabase-pinger
</commands>
<api_endpoints>
- GET / # Dashboard (SmokePing-style)
- GET /api/status # Latest sample
- GET /api/history # History (hours param)
- GET /docs # Swagger UI
- GET /openapi.json # OpenAPI schema
</api_endpoints>
<key_components>
- create_app() # Main factory
- Settings # Config dataclass
- RRDStore # Circular buffer storage
- run_ping() # Execute keep-alive
- collector_loop() # Daemon thread
</key_components>
<env_vars>
- SUPABASE_DB_HOST
- SUPABASE_DB_PORT
- SUPABASE_DB_NAME
- SUPABASE_DB_USER
- SUPABASE_DB_PASSWORD
- PING_INTERVAL_MINUTES
- PING_QUERY
- WEB_HOST
- WEB_PORT
</env_vars>
<when_to_use>
- Any work on supabase-pinger project
- Development, testing, or deployment
</when_to_use>
+41
View File
@@ -0,0 +1,41 @@
# AGENTS.md
## Quick Commands
```bash
pytest -q # Run all tests
python app.py # Start server (requires valid .env)
```
## Testing
- Tests use `config_override` in `create_app()` to mock settings and skip the collector thread (`start_collector=False`).
- No database connection required for tests—SQLite uses temp directories.
- Test files: `tests/test_api.py` with 3 test functions.
## Required Env Vars
| Variable | Purpose |
|----------|---------|
| `SUPABASE_DB_HOST` | Connection pooler hostname |
| `SUPABASE_DB_PORT` | Pooler port (typically 6543) |
| `SUPABASE_DB_NAME` | Database name |
| `SUPABASE_DB_USER` | User in format `postgres.<project-ref>` |
| `SUPABASE_DB_PASSWORD` | Password |
## App Architecture
- **Entry**: `app.py` exports `create_app()` and `app` (FastAPI instance).
- **Config**: `load_config()` validates required vars, returns `Settings` dataclass.
- **Storage**: `RRDStore` class manages SQLite circular buffer (auto-prunes based on `max_samples`).
- **Ping**: `run_ping()` executes keep-alive query, returns `(success, latency_ms, error_message)`.
- **Collector**: `collector_loop()` runs in daemon thread, interval from `PING_INTERVAL_MINUTES`.
## API Endpoints
- `GET /` — Dashboard (SmokePing-style)
- `GET /api/status` — Latest sample
- `GET /api/history?hours=48` — Sample history (max 48h)
- `GET /docs` — Swagger UI
- `GET /openapi.json` — OpenAPI schema
## Docker
```bash
docker build -t supabase-pinger .
docker run -d --env-file .env -p 8080:8080 --restart unless-stopped supabase-pinger
```
+69 -27
View File
@@ -288,6 +288,11 @@ def _build_dashboard_html() -> str:
const badge = document.getElementById('statusBadge');
const meta = document.getElementById('meta');
const ctx = document.getElementById('latencyChart').getContext('2d');
// Buffer locale per campioni - mantiene solo i dati nel grafico
let samples = [];
const MAX_VISIBLE_SAMPLES = 100; // Limite visualizzazione per performance
const chart = new Chart(ctx, {
type: 'line',
data: { labels: [], datasets: [
@@ -303,37 +308,74 @@ def _build_dashboard_html() -> str:
}
});
async function load() {
const [statusRes, historyRes] = await Promise.all([
fetch('/api/status'),
fetch('/api/history?hours=48')
]);
const status = await statusRes.json();
async function loadHistory() {
// Carica history iniziale una sola volta
const historyRes = await fetch('/api/history?hours=48');
const history = await historyRes.json();
if (status.success === true) {
badge.textContent = 'UP';
badge.className = 'badge ok';
} else if (status.success === false) {
badge.textContent = 'DOWN';
badge.className = 'badge ko';
} else {
badge.textContent = 'N/A';
badge.className = 'badge';
}
meta.textContent = `Campioni 48h: ${history.count} | Ultimo campione: ${status.timestamp ? new Date(status.timestamp * 1000).toLocaleString() : 'n/a'}`;
chart.data.labels = history.samples.map(s => new Date(s.timestamp * 1000).toLocaleTimeString());
chart.data.datasets[0].data = history.samples.map(s => s.latency_ms);
chart.data.datasets[1].data = history.samples.map(s => s.success ? 0 : 1);
chart.update();
samples = history.samples || [];
updateChart();
}
load().catch((err) => {
meta.textContent = `Errore caricamento dashboard: ${err}`;
function updateChart() {
// Limita i campioni visibili per performance
const visibleSamples = samples.slice(-MAX_VISIBLE_SAMPLES);
chart.data.labels = visibleSamples.map(s => {
const d = new Date(s.timestamp * 1000);
return d.toLocaleTimeString([], { hour: '2-digit', minute: '2-digit' });
});
chart.data.datasets[0].data = visibleSamples.map(s => s.latency_ms);
chart.data.datasets[1].data = visibleSamples.map(s => s.success ? 0 : 1);
chart.update('none'); // update senza animazione per performance
}
async function pollStatus() {
try {
const statusRes = await fetch('/api/status');
const status = await statusRes.json();
// Aggiorna badge
if (status.success === true) {
badge.textContent = 'UP';
badge.className = 'badge ok';
} else if (status.success === false) {
badge.textContent = 'DOWN';
badge.className = 'badge ko';
} else {
badge.textContent = 'N/A';
badge.className = 'badge';
}
// Aggiorna meta con timestamp corrente
meta.textContent = 'Ultimo aggiornamento: ' + new Date().toLocaleTimeString() + ' | Campioni: ' + samples.length;
// Aggiunge nuovo sample se non gia presente
if (status.timestamp && !samples.find(s => s.timestamp === status.timestamp)) {
samples.push({
timestamp: status.timestamp,
success: status.success,
latency_ms: status.latency_ms,
error_message: status.error_message
});
// Rimuove campioni piu vecchi di 48h
const cutoff = Math.floor(Date.now() / 1000) - (48 * 3600);
samples = samples.filter(s => s.timestamp >= cutoff);
updateChart();
}
} catch (err) {
meta.textContent = 'Errore: ' + err.message;
}
}
// Inizializzazione
loadHistory().catch((err) => {
meta.textContent = 'Errore caricamento history: ' + err;
});
setInterval(() => load().catch(() => {}), 30000);
// Poll ogni 10 secondi per aggiornamenti real-time
setInterval(pollStatus, 10000);
</script>
</body>
</html>