forked from Rockachopa/Timmy-time-dashboard
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kimi/issue
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kimi/issue
| Author | SHA1 | Date | |
|---|---|---|---|
|
f6100b111d |
@@ -1,178 +0,0 @@
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# ── Token Quest System Configuration ─────────────────────────────────────────
|
||||
#
|
||||
# Quests are special objectives that agents (and humans) can complete for
|
||||
# bonus tokens. Each quest has:
|
||||
# - id: Unique identifier
|
||||
# - name: Display name
|
||||
# - description: What the quest requires
|
||||
# - reward_tokens: Number of tokens awarded on completion
|
||||
# - criteria: Detection rules for completion
|
||||
# - enabled: Whether this quest is active
|
||||
# - repeatable: Whether this quest can be completed multiple times
|
||||
# - cooldown_hours: Minimum hours between completions (if repeatable)
|
||||
#
|
||||
# Quest Types:
|
||||
# - issue_count: Complete when N issues matching criteria are closed
|
||||
# - issue_reduce: Complete when open issue count drops by N
|
||||
# - docs_update: Complete when documentation files are updated
|
||||
# - test_improve: Complete when test coverage/cases improve
|
||||
# - daily_run: Complete Daily Run session objectives
|
||||
# - custom: Special quests with manual completion
|
||||
#
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||||
# ── Active Quests ─────────────────────────────────────────────────────────────
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|
||||
quests:
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# ── Daily Run & Test Improvement Quests ───────────────────────────────────
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|
||||
close_flaky_tests:
|
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id: close_flaky_tests
|
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name: Flaky Test Hunter
|
||||
description: Close 3 issues labeled "flaky-test"
|
||||
reward_tokens: 150
|
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type: issue_count
|
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enabled: true
|
||||
repeatable: true
|
||||
cooldown_hours: 24
|
||||
criteria:
|
||||
issue_labels:
|
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- flaky-test
|
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target_count: 3
|
||||
issue_state: closed
|
||||
lookback_days: 7
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||||
notification_message: "Quest Complete! You closed 3 flaky-test issues and earned {tokens} tokens."
|
||||
|
||||
reduce_p1_issues:
|
||||
id: reduce_p1_issues
|
||||
name: Priority Firefighter
|
||||
description: Reduce open P1 Daily Run issues by 2
|
||||
reward_tokens: 200
|
||||
type: issue_reduce
|
||||
enabled: true
|
||||
repeatable: true
|
||||
cooldown_hours: 48
|
||||
criteria:
|
||||
issue_labels:
|
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- layer:triage
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- P1
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target_reduction: 2
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lookback_days: 3
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||||
notification_message: "Quest Complete! You reduced P1 issues by 2 and earned {tokens} tokens."
|
||||
|
||||
improve_test_coverage:
|
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id: improve_test_coverage
|
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name: Coverage Champion
|
||||
description: Improve test coverage by 5% or add 10 new test cases
|
||||
reward_tokens: 300
|
||||
type: test_improve
|
||||
enabled: true
|
||||
repeatable: false
|
||||
criteria:
|
||||
coverage_increase_percent: 5
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min_new_tests: 10
|
||||
notification_message: "Quest Complete! You improved test coverage and earned {tokens} tokens."
|
||||
|
||||
complete_daily_run_session:
|
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id: complete_daily_run_session
|
||||
name: Daily Runner
|
||||
description: Successfully complete 5 Daily Run sessions in a week
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reward_tokens: 250
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type: daily_run
|
||||
enabled: true
|
||||
repeatable: true
|
||||
cooldown_hours: 168 # 1 week
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||||
criteria:
|
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min_sessions: 5
|
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lookback_days: 7
|
||||
notification_message: "Quest Complete! You completed 5 Daily Run sessions and earned {tokens} tokens."
|
||||
|
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# ── Documentation & Maintenance Quests ────────────────────────────────────
|
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|
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improve_automation_docs:
|
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id: improve_automation_docs
|
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name: Documentation Hero
|
||||
description: Improve documentation for automations (update 3+ doc files)
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||||
reward_tokens: 100
|
||||
type: docs_update
|
||||
enabled: true
|
||||
repeatable: true
|
||||
cooldown_hours: 72
|
||||
criteria:
|
||||
file_patterns:
|
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- "docs/**/*.md"
|
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- "**/README.md"
|
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- "timmy_automations/**/*.md"
|
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min_files_changed: 3
|
||||
lookback_days: 7
|
||||
notification_message: "Quest Complete! You improved automation docs and earned {tokens} tokens."
|
||||
|
||||
close_micro_fixes:
|
||||
id: close_micro_fixes
|
||||
name: Micro Fix Master
|
||||
description: Close 5 issues labeled "layer:micro-fix"
|
||||
reward_tokens: 125
|
||||
type: issue_count
|
||||
enabled: true
|
||||
repeatable: true
|
||||
cooldown_hours: 24
|
||||
criteria:
|
||||
issue_labels:
|
||||
- layer:micro-fix
|
||||
target_count: 5
|
||||
issue_state: closed
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||||
lookback_days: 7
|
||||
notification_message: "Quest Complete! You closed 5 micro-fix issues and earned {tokens} tokens."
|
||||
|
||||
# ── Special Achievements ──────────────────────────────────────────────────
|
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|
||||
first_contribution:
|
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id: first_contribution
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name: First Steps
|
||||
description: Make your first contribution (close any issue)
|
||||
reward_tokens: 50
|
||||
type: issue_count
|
||||
enabled: true
|
||||
repeatable: false
|
||||
criteria:
|
||||
target_count: 1
|
||||
issue_state: closed
|
||||
lookback_days: 30
|
||||
notification_message: "Welcome! You completed your first contribution and earned {tokens} tokens."
|
||||
|
||||
bug_squasher:
|
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id: bug_squasher
|
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name: Bug Squasher
|
||||
description: Close 10 issues labeled "bug"
|
||||
reward_tokens: 500
|
||||
type: issue_count
|
||||
enabled: true
|
||||
repeatable: true
|
||||
cooldown_hours: 168 # 1 week
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||||
criteria:
|
||||
issue_labels:
|
||||
- bug
|
||||
target_count: 10
|
||||
issue_state: closed
|
||||
lookback_days: 7
|
||||
notification_message: "Quest Complete! You squashed 10 bugs and earned {tokens} tokens."
|
||||
|
||||
# ── Quest System Settings ───────────────────────────────────────────────────
|
||||
|
||||
settings:
|
||||
# Enable/disable quest notifications
|
||||
notifications_enabled: true
|
||||
|
||||
# Maximum number of concurrent active quests per agent
|
||||
max_concurrent_quests: 5
|
||||
|
||||
# Auto-detect quest completions on Daily Run metrics update
|
||||
auto_detect_on_daily_run: true
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||||
|
||||
# Gitea issue labels that indicate quest-related work
|
||||
quest_work_labels:
|
||||
- layer:triage
|
||||
- layer:micro-fix
|
||||
- layer:tests
|
||||
- layer:economy
|
||||
- flaky-test
|
||||
- bug
|
||||
- documentation
|
||||
@@ -1,912 +0,0 @@
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# OpenClaw Architecture, Deployment Modes, and Ollama Integration
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||||
|
||||
## Research Report for Timmy Time Dashboard Project
|
||||
|
||||
**Issue:** #721 — [Kimi Research] OpenClaw architecture, deployment modes, and Ollama integration
|
||||
**Date:** 2026-03-21
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||||
**Author:** Kimi (Moonshot AI)
|
||||
**Status:** Complete
|
||||
|
||||
---
|
||||
|
||||
## Executive Summary
|
||||
|
||||
OpenClaw is an open-source AI agent framework that bridges messaging platforms (WhatsApp, Telegram, Slack, Discord, iMessage) to AI coding agents through a centralized gateway. Originally known as Clawdbot and Moltbot, it was rebranded to OpenClaw in early 2026. This report provides a comprehensive analysis of OpenClaw's architecture, deployment options, Ollama integration capabilities, and suitability for deployment on resource-constrained VPS environments like the Hermes DigitalOcean droplet (2GB RAM / 1 vCPU).
|
||||
|
||||
**Key Finding:** Running OpenClaw with local LLMs on a 2GB RAM VPS is **not recommended**. The absolute minimum for a text-only agent with external API models is 4GB RAM. For local model inference via Ollama, 8-16GB RAM is the practical minimum. A hybrid approach using OpenRouter as the primary provider with Ollama as fallback is the most viable configuration for small VPS deployments.
|
||||
|
||||
---
|
||||
|
||||
## 1. Architecture Overview
|
||||
|
||||
### 1.1 Core Components
|
||||
|
||||
OpenClaw follows a **hub-and-spoke (轴辐式)** architecture optimized for multi-agent task execution:
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────────────────┐
|
||||
│ OPENCLAW ARCHITECTURE │
|
||||
├─────────────────────────────────────────────────────────────────────────┤
|
||||
│ │
|
||||
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
|
||||
│ │ WhatsApp │ │ Telegram │ │ Discord │ │
|
||||
│ │ Channel │ │ Channel │ │ Channel │ │
|
||||
│ └──────┬───────┘ └──────┬───────┘ └──────┬───────┘ │
|
||||
│ │ │ │ │
|
||||
│ └────────────────────┼────────────────────┘ │
|
||||
│ ▼ │
|
||||
│ ┌──────────────────┐ │
|
||||
│ │ Gateway │◄─────── WebSocket/API │
|
||||
│ │ (Port 18789) │ Control Plane │
|
||||
│ └────────┬─────────┘ │
|
||||
│ │ │
|
||||
│ ┌──────────────┼──────────────┐ │
|
||||
│ ▼ ▼ ▼ │
|
||||
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
|
||||
│ │ Agent A │ │ Agent B │ │ Pi Agent│ │
|
||||
│ │ (main) │ │ (coder) │ │(delegate)│ │
|
||||
│ └────┬─────┘ └────┬─────┘ └────┬─────┘ │
|
||||
│ │ │ │ │
|
||||
│ └──────────────┼──────────────┘ │
|
||||
│ ▼ │
|
||||
│ ┌────────────────────────┐ │
|
||||
│ │ LLM Router │ │
|
||||
│ │ (Primary/Fallback) │ │
|
||||
│ └───────────┬────────────┘ │
|
||||
│ │ │
|
||||
│ ┌─────────────────┼─────────────────┐ │
|
||||
│ ▼ ▼ ▼ │
|
||||
│ ┌─────────┐ ┌─────────┐ ┌─────────┐ │
|
||||
│ │ Ollama │ │ OpenAI │ │Anthropic│ │
|
||||
│ │(local) │ │(cloud) │ │(cloud) │ │
|
||||
│ └─────────┘ └─────────┘ └─────────┘ │
|
||||
│ │ ┌─────┐ │
|
||||
│ └────────────────────────────────────────────────────►│ MCP │ │
|
||||
│ │Tools│ │
|
||||
│ └─────┘ │
|
||||
│ │
|
||||
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
|
||||
│ │ Memory │ │ Skills │ │ Workspace │ │
|
||||
│ │ (SOUL.md) │ │ (SKILL.md) │ │ (sessions) │ │
|
||||
│ └──────────────┘ └──────────────┘ └──────────────┘ │
|
||||
│ │
|
||||
└─────────────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
### 1.2 Component Deep Dive
|
||||
|
||||
| Component | Purpose | Configuration File |
|
||||
|-----------|---------|-------------------|
|
||||
| **Gateway** | Central control plane, WebSocket/API server, session management | `gateway` section in `openclaw.json` |
|
||||
| **Pi Agent** | Core agent runner, "指挥中心" - schedules LLM calls, tool execution, error handling | `agents` section in `openclaw.json` |
|
||||
| **Channels** | Messaging platform integrations (Telegram, WhatsApp, Slack, Discord, iMessage) | `channels` section in `openclaw.json` |
|
||||
| **SOUL.md** | Agent persona definition - personality, communication style, behavioral guidelines | `~/.openclaw/workspace/SOUL.md` |
|
||||
| **AGENTS.md** | Multi-agent configuration, routing rules, agent specialization definitions | `~/.openclaw/workspace/AGENTS.md` |
|
||||
| **Workspace** | File system for agent state, session data, temporary files | `~/.openclaw/workspace/` |
|
||||
| **Skills** | Bundled tools, prompts, configurations that teach agents specific tasks | `~/.openclaw/workspace/skills/` |
|
||||
| **Sessions** | Conversation history, context persistence between interactions | `~/.openclaw/agents/<agent>/sessions/` |
|
||||
| **MCP Tools** | Model Context Protocol integration for external tool access | Via `mcporter` or native MCP |
|
||||
|
||||
### 1.3 Agent Runner Execution Flow
|
||||
|
||||
According to OpenClaw documentation, a complete agent run follows these stages:
|
||||
|
||||
1. **Queuing** - Session-level queue (serializes same-session requests) → Global queue (controls total concurrency)
|
||||
2. **Preparation** - Parse workspace, provider/model, thinking level parameters
|
||||
3. **Plugin Loading** - Load relevant skills based on task context
|
||||
4. **Memory Retrieval** - Fetch relevant context from SOUL.md and conversation history
|
||||
5. **LLM Inference** - Send prompt to configured provider with tool definitions
|
||||
6. **Tool Execution** - Execute any tool calls returned by the LLM
|
||||
7. **Response Generation** - Format and return final response to the channel
|
||||
8. **Memory Storage** - Persist conversation and results to session storage
|
||||
|
||||
---
|
||||
|
||||
## 2. Deployment Modes
|
||||
|
||||
### 2.1 Comparison Matrix
|
||||
|
||||
| Deployment Mode | Best For | Setup Complexity | Resource Overhead | Stability |
|
||||
|----------------|----------|------------------|-------------------|-----------|
|
||||
| **npm global** | Development, quick testing | Low | Minimal (~200MB) | Moderate |
|
||||
| **Docker** | Production, isolation, reproducibility | Medium | Higher (~2.5GB base image) | High |
|
||||
| **Docker Compose** | Multi-service stacks, complex setups | Medium-High | Higher | High |
|
||||
| **Bare metal/systemd** | Maximum performance, dedicated hardware | High | Minimal | Moderate |
|
||||
|
||||
### 2.2 NPM Global Installation (Recommended for Quick Start)
|
||||
|
||||
```bash
|
||||
# One-line installer
|
||||
curl -fsSL https://openclaw.ai/install.sh | bash
|
||||
|
||||
# Or manual npm install
|
||||
npm install -g openclaw
|
||||
|
||||
# Initialize configuration
|
||||
openclaw onboard
|
||||
|
||||
# Start gateway
|
||||
openclaw gateway
|
||||
```
|
||||
|
||||
**Pros:**
|
||||
- Fastest setup (~30 seconds)
|
||||
- Direct access to host resources
|
||||
- Easy updates via `npm update -g openclaw`
|
||||
|
||||
**Cons:**
|
||||
- Node.js 22+ dependency required
|
||||
- No process isolation
|
||||
- Manual dependency management
|
||||
|
||||
### 2.3 Docker Deployment (Recommended for Production)
|
||||
|
||||
```bash
|
||||
# Pull and run
|
||||
docker pull openclaw/openclaw:latest
|
||||
docker run -d \
|
||||
--name openclaw \
|
||||
-p 127.0.0.1:18789:18789 \
|
||||
-v ~/.openclaw:/root/.openclaw \
|
||||
-e ANTHROPIC_API_KEY=sk-ant-... \
|
||||
openclaw/openclaw:latest
|
||||
|
||||
# Or with Docker Compose
|
||||
docker compose -f compose.yml --env-file .env up -d --build
|
||||
```
|
||||
|
||||
**Docker Compose Configuration (production-ready):**
|
||||
|
||||
```yaml
|
||||
version: '3.8'
|
||||
services:
|
||||
openclaw:
|
||||
image: openclaw/openclaw:latest
|
||||
container_name: openclaw
|
||||
restart: unless-stopped
|
||||
ports:
|
||||
- "127.0.0.1:18789:18789" # Never expose to 0.0.0.0
|
||||
volumes:
|
||||
- ./openclaw-data:/root/.openclaw
|
||||
- ./workspace:/root/.openclaw/workspace
|
||||
environment:
|
||||
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
|
||||
- OPENROUTER_API_KEY=${OPENROUTER_API_KEY}
|
||||
- OLLAMA_API_KEY=ollama-local
|
||||
networks:
|
||||
- openclaw-net
|
||||
# Resource limits for small VPS
|
||||
deploy:
|
||||
resources:
|
||||
limits:
|
||||
cpus: '1.5'
|
||||
memory: 3G
|
||||
reservations:
|
||||
cpus: '0.5'
|
||||
memory: 1G
|
||||
|
||||
networks:
|
||||
openclaw-net:
|
||||
driver: bridge
|
||||
```
|
||||
|
||||
### 2.4 Bare Metal / Systemd Installation
|
||||
|
||||
For running as a system service on Linux:
|
||||
|
||||
```bash
|
||||
# Create systemd service
|
||||
sudo tee /etc/systemd/system/openclaw.service > /dev/null <<EOF
|
||||
[Unit]
|
||||
Description=OpenClaw Gateway
|
||||
After=network.target
|
||||
|
||||
[Service]
|
||||
Type=simple
|
||||
User=openclaw
|
||||
Group=openclaw
|
||||
WorkingDirectory=/home/openclaw
|
||||
Environment="PATH=/usr/local/bin:/usr/bin:/bin"
|
||||
Environment="NODE_ENV=production"
|
||||
Environment="ANTHROPIC_API_KEY=sk-ant-..."
|
||||
ExecStart=/usr/local/bin/openclaw gateway
|
||||
Restart=always
|
||||
RestartSec=10
|
||||
|
||||
[Install]
|
||||
WantedBy=multi-user.target
|
||||
EOF
|
||||
|
||||
sudo systemctl daemon-reload
|
||||
sudo systemctl enable openclaw
|
||||
sudo systemctl start openclaw
|
||||
```
|
||||
|
||||
### 2.5 Recommended Deployment for 2GB RAM VPS
|
||||
|
||||
**⚠️ Critical Finding:** OpenClaw's official minimum is 4GB RAM. On a 2GB VPS:
|
||||
|
||||
1. **Do NOT run local LLMs** - Use external API providers exclusively
|
||||
2. **Use npm installation** - Docker overhead is too heavy
|
||||
3. **Disable browser automation** - Chromium requires 2-4GB alone
|
||||
4. **Enable swap** - Critical for preventing OOM kills
|
||||
5. **Use OpenRouter** - Cheap/free tier models reduce costs
|
||||
|
||||
**Setup script for 2GB VPS:**
|
||||
|
||||
```bash
|
||||
#!/bin/bash
|
||||
# openclaw-minimal-vps.sh
|
||||
# Setup for 2GB RAM VPS - EXTERNAL API ONLY
|
||||
|
||||
# Create 4GB swap
|
||||
sudo fallocate -l 4G /swapfile
|
||||
sudo chmod 600 /swapfile
|
||||
sudo mkswap /swapfile
|
||||
sudo swapon /swapfile
|
||||
echo '/swapfile none swap sw 0 0' | sudo tee -a /etc/fstab
|
||||
|
||||
# Install Node.js 22
|
||||
curl -fsSL https://deb.nodesource.com/setup_22.x | sudo bash -
|
||||
sudo apt-get install -y nodejs
|
||||
|
||||
# Install OpenClaw
|
||||
npm install -g openclaw
|
||||
|
||||
# Configure for minimal resource usage
|
||||
mkdir -p ~/.openclaw
|
||||
cat > ~/.openclaw/openclaw.json <<'EOF'
|
||||
{
|
||||
"gateway": {
|
||||
"bind": "127.0.0.1",
|
||||
"port": 18789,
|
||||
"mode": "local"
|
||||
},
|
||||
"agents": {
|
||||
"defaults": {
|
||||
"model": {
|
||||
"primary": "openrouter/google/gemma-3-4b-it:free",
|
||||
"fallbacks": [
|
||||
"openrouter/meta/llama-3.1-8b-instruct:free"
|
||||
]
|
||||
},
|
||||
"maxIterations": 15,
|
||||
"timeout": 120
|
||||
}
|
||||
},
|
||||
"channels": {
|
||||
"telegram": {
|
||||
"enabled": true,
|
||||
"dmPolicy": "pairing"
|
||||
}
|
||||
}
|
||||
}
|
||||
EOF
|
||||
|
||||
# Set OpenRouter API key
|
||||
export OPENROUTER_API_KEY="sk-or-v1-..."
|
||||
|
||||
# Start gateway
|
||||
openclaw gateway &
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 3. Ollama Integration
|
||||
|
||||
### 3.1 Architecture
|
||||
|
||||
OpenClaw integrates with Ollama through its native `/api/chat` endpoint, supporting both streaming responses and tool calling simultaneously:
|
||||
|
||||
```
|
||||
┌──────────────┐ HTTP/JSON ┌──────────────┐ GGUF/CPU/GPU ┌──────────┐
|
||||
│ OpenClaw │◄───────────────────►│ Ollama │◄────────────────────►│ Local │
|
||||
│ Gateway │ /api/chat │ Server │ Model inference │ LLM │
|
||||
│ │ Port 11434 │ Port 11434 │ │ │
|
||||
└──────────────┘ └──────────────┘ └──────────┘
|
||||
```
|
||||
|
||||
### 3.2 Configuration
|
||||
|
||||
**Basic Ollama Setup:**
|
||||
|
||||
```bash
|
||||
# Install Ollama
|
||||
curl -fsSL https://ollama.com/install.sh | sh
|
||||
|
||||
# Start server
|
||||
ollama serve
|
||||
|
||||
# Pull a tool-capable model
|
||||
ollama pull qwen2.5-coder:7b
|
||||
ollama pull llama3.1:8b
|
||||
|
||||
# Configure OpenClaw
|
||||
export OLLAMA_API_KEY="ollama-local" # Any non-empty string works
|
||||
```
|
||||
|
||||
**OpenClaw Configuration for Ollama:**
|
||||
|
||||
```json
|
||||
{
|
||||
"models": {
|
||||
"providers": {
|
||||
"ollama": {
|
||||
"baseUrl": "http://localhost:11434",
|
||||
"apiKey": "ollama-local",
|
||||
"api": "ollama",
|
||||
"models": [
|
||||
{
|
||||
"id": "qwen2.5-coder:7b",
|
||||
"name": "Qwen 2.5 Coder 7B",
|
||||
"contextWindow": 32768,
|
||||
"maxTokens": 8192,
|
||||
"cost": { "input": 0, "output": 0 }
|
||||
},
|
||||
{
|
||||
"id": "llama3.1:8b",
|
||||
"name": "Llama 3.1 8B",
|
||||
"contextWindow": 128000,
|
||||
"maxTokens": 8192,
|
||||
"cost": { "input": 0, "output": 0 }
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"agents": {
|
||||
"defaults": {
|
||||
"model": {
|
||||
"primary": "ollama/qwen2.5-coder:7b",
|
||||
"fallbacks": ["ollama/llama3.1:8b"]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 3.3 Context Window Requirements
|
||||
|
||||
**⚠️ Critical Requirement:** OpenClaw requires a minimum **64K token context window** for reliable multi-step task execution.
|
||||
|
||||
| Model | Parameters | Context Window | Tool Support | OpenClaw Compatible |
|
||||
|-------|-----------|----------------|--------------|---------------------|
|
||||
| **llama3.1** | 8B | 128K | ✅ Yes | ✅ Yes |
|
||||
| **qwen2.5-coder** | 7B | 32K | ✅ Yes | ⚠️ Below minimum |
|
||||
| **qwen2.5-coder** | 32B | 128K | ✅ Yes | ✅ Yes |
|
||||
| **gpt-oss** | 20B | 128K | ✅ Yes | ✅ Yes |
|
||||
| **glm-4.7-flash** | - | 128K | ✅ Yes | ✅ Yes |
|
||||
| **deepseek-coder-v2** | 33B | 128K | ✅ Yes | ✅ Yes |
|
||||
| **mistral-small3.1** | - | 128K | ✅ Yes | ✅ Yes |
|
||||
|
||||
**Context Window Configuration:**
|
||||
|
||||
For models that don't report context window via Ollama's API:
|
||||
|
||||
```bash
|
||||
# Create custom Modelfile with extended context
|
||||
cat > ~/qwen-custom.modelfile <<EOF
|
||||
FROM qwen2.5-coder:7b
|
||||
PARAMETER num_ctx 65536
|
||||
PARAMETER temperature 0.7
|
||||
EOF
|
||||
|
||||
# Create custom model
|
||||
ollama create qwen2.5-coder-64k -f ~/qwen-custom.modelfile
|
||||
```
|
||||
|
||||
### 3.4 Models for Small VPS (≤8B Parameters)
|
||||
|
||||
For resource-constrained environments (2-4GB RAM):
|
||||
|
||||
| Model | Quantization | RAM Required | VRAM Required | Performance |
|
||||
|-------|-------------|--------------|---------------|-------------|
|
||||
| **Llama 3.1 8B** | Q4_K_M | ~5GB | ~6GB | Good |
|
||||
| **Llama 3.2 3B** | Q4_K_M | ~2.5GB | ~3GB | Basic |
|
||||
| **Qwen 2.5 7B** | Q4_K_M | ~5GB | ~6GB | Good |
|
||||
| **Qwen 2.5 3B** | Q4_K_M | ~2.5GB | ~3GB | Basic |
|
||||
| **DeepSeek 7B** | Q4_K_M | ~5GB | ~6GB | Good |
|
||||
| **Phi-4 4B** | Q4_K_M | ~3GB | ~4GB | Moderate |
|
||||
|
||||
**⚠️ Verdict for 2GB VPS:** Running local LLMs is **NOT viable**. Use external APIs only.
|
||||
|
||||
---
|
||||
|
||||
## 4. OpenRouter Integration (Fallback Strategy)
|
||||
|
||||
### 4.1 Overview
|
||||
|
||||
OpenRouter provides a unified API gateway to multiple LLM providers, enabling:
|
||||
- Single API key access to 200+ models
|
||||
- Automatic failover between providers
|
||||
- Free tier models for cost-conscious deployments
|
||||
- Unified billing and usage tracking
|
||||
|
||||
### 4.2 Configuration
|
||||
|
||||
**Environment Variable Setup:**
|
||||
|
||||
```bash
|
||||
export OPENROUTER_API_KEY="sk-or-v1-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
|
||||
```
|
||||
|
||||
**OpenClaw Configuration:**
|
||||
|
||||
```json
|
||||
{
|
||||
"models": {
|
||||
"providers": {
|
||||
"openrouter": {
|
||||
"apiKey": "${OPENROUTER_API_KEY}",
|
||||
"baseUrl": "https://openrouter.ai/api/v1"
|
||||
}
|
||||
}
|
||||
},
|
||||
"agents": {
|
||||
"defaults": {
|
||||
"model": {
|
||||
"primary": "openrouter/anthropic/claude-sonnet-4-6",
|
||||
"fallbacks": [
|
||||
"openrouter/google/gemini-3.1-pro",
|
||||
"openrouter/meta/llama-3.3-70b-instruct",
|
||||
"openrouter/google/gemma-3-4b-it:free"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 4.3 Recommended Free/Cheap Models on OpenRouter
|
||||
|
||||
For cost-conscious VPS deployments:
|
||||
|
||||
| Model | Cost | Context | Best For |
|
||||
|-------|------|---------|----------|
|
||||
| **google/gemma-3-4b-it:free** | Free | 128K | General tasks, simple automation |
|
||||
| **meta/llama-3.1-8b-instruct:free** | Free | 128K | General tasks, longer contexts |
|
||||
| **deepseek/deepseek-chat-v3.2** | $0.53/M | 64K | Code generation, reasoning |
|
||||
| **xiaomi/mimo-v2-flash** | $0.40/M | 128K | Fast responses, basic tasks |
|
||||
| **qwen/qwen3-coder-next** | $1.20/M | 128K | Code-focused tasks |
|
||||
|
||||
### 4.4 Hybrid Configuration (Recommended for Timmy)
|
||||
|
||||
A production-ready configuration for the Hermes VPS:
|
||||
|
||||
```json
|
||||
{
|
||||
"models": {
|
||||
"providers": {
|
||||
"openrouter": {
|
||||
"apiKey": "${OPENROUTER_API_KEY}",
|
||||
"models": [
|
||||
{
|
||||
"id": "google/gemma-3-4b-it:free",
|
||||
"name": "Gemma 3 4B (Free)",
|
||||
"contextWindow": 131072,
|
||||
"maxTokens": 8192,
|
||||
"cost": { "input": 0, "output": 0 }
|
||||
},
|
||||
{
|
||||
"id": "deepseek/deepseek-chat-v3.2",
|
||||
"name": "DeepSeek V3.2",
|
||||
"contextWindow": 64000,
|
||||
"maxTokens": 8192,
|
||||
"cost": { "input": 0.00053, "output": 0.00053 }
|
||||
}
|
||||
]
|
||||
},
|
||||
"ollama": {
|
||||
"baseUrl": "http://localhost:11434",
|
||||
"apiKey": "ollama-local",
|
||||
"models": [
|
||||
{
|
||||
"id": "llama3.2:3b",
|
||||
"name": "Llama 3.2 3B (Local Fallback)",
|
||||
"contextWindow": 128000,
|
||||
"maxTokens": 4096,
|
||||
"cost": { "input": 0, "output": 0 }
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"agents": {
|
||||
"defaults": {
|
||||
"model": {
|
||||
"primary": "openrouter/google/gemma-3-4b-it:free",
|
||||
"fallbacks": [
|
||||
"openrouter/deepseek/deepseek-chat-v3.2",
|
||||
"ollama/llama3.2:3b"
|
||||
]
|
||||
},
|
||||
"maxIterations": 10,
|
||||
"timeout": 90
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 5. Hardware Constraints & VPS Viability
|
||||
|
||||
### 5.1 System Requirements Summary
|
||||
|
||||
| Component | Minimum | Recommended | Notes |
|
||||
|-----------|---------|-------------|-------|
|
||||
| **CPU** | 2 vCPU | 4 vCPU | Dedicated preferred over shared |
|
||||
| **RAM** | 4 GB | 8 GB | 2GB causes OOM with external APIs |
|
||||
| **Storage** | 40 GB SSD | 80 GB NVMe | Docker images are ~10-15GB |
|
||||
| **Network** | 100 Mbps | 1 Gbps | For API calls and model downloads |
|
||||
| **OS** | Ubuntu 22.04/Debian 12 | Ubuntu 24.04 LTS | Linux required for production |
|
||||
|
||||
### 5.2 2GB RAM VPS Analysis
|
||||
|
||||
**Can it work?** Yes, with severe limitations:
|
||||
|
||||
✅ **What works:**
|
||||
- Text-only agents with external API providers
|
||||
- Single Telegram/Discord channel
|
||||
- Basic file operations and shell commands
|
||||
- No browser automation
|
||||
|
||||
❌ **What doesn't work:**
|
||||
- Local LLM inference via Ollama
|
||||
- Browser automation (Chromium needs 2-4GB)
|
||||
- Multiple concurrent channels
|
||||
- Python environment-heavy skills
|
||||
|
||||
**Required mitigations for 2GB VPS:**
|
||||
|
||||
```bash
|
||||
# 1. Create substantial swap
|
||||
sudo fallocate -l 4G /swapfile
|
||||
sudo chmod 600 /swapfile
|
||||
sudo mkswap /swapfile
|
||||
sudo swapon /swapfile
|
||||
|
||||
# 2. Configure swappiness
|
||||
echo 'vm.swappiness=60' | sudo tee -a /etc/sysctl.conf
|
||||
sudo sysctl -p
|
||||
|
||||
# 3. Limit Node.js memory
|
||||
export NODE_OPTIONS="--max-old-space-size=1536"
|
||||
|
||||
# 4. Use external APIs only - NO OLLAMA
|
||||
# 5. Disable browser skills
|
||||
# 6. Set conservative concurrency limits
|
||||
```
|
||||
|
||||
### 5.3 4-bit Quantization Viability
|
||||
|
||||
**Qwen 2.5 7B Q4_K_M on 2GB VPS:**
|
||||
- Model size: ~4.5GB
|
||||
- RAM required at runtime: ~5-6GB
|
||||
- **Verdict:** Will cause immediate OOM on 2GB VPS
|
||||
- **Even with 4GB VPS:** Marginal, heavy swap usage, poor performance
|
||||
|
||||
**Viable models for 4GB VPS with Ollama:**
|
||||
- Llama 3.2 3B Q4_K_M (~2.5GB RAM)
|
||||
- Qwen 2.5 3B Q4_K_M (~2.5GB RAM)
|
||||
- Phi-4 4B Q4_K_M (~3GB RAM)
|
||||
|
||||
---
|
||||
|
||||
## 6. Security Configuration
|
||||
|
||||
### 6.1 Network Ports
|
||||
|
||||
| Port | Purpose | Exposure |
|
||||
|------|---------|----------|
|
||||
| **18789/tcp** | OpenClaw Gateway (WebSocket/HTTP) | **NEVER expose to internet** |
|
||||
| **11434/tcp** | Ollama API (if running locally) | Localhost only |
|
||||
| **22/tcp** | SSH | Restrict to known IPs |
|
||||
|
||||
**⚠️ CRITICAL:** Never expose port 18789 to the public internet. Use Tailscale or SSH tunnels for remote access.
|
||||
|
||||
### 6.2 Tailscale Integration
|
||||
|
||||
Tailscale provides zero-configuration VPN mesh for secure remote access:
|
||||
|
||||
```bash
|
||||
# Install Tailscale
|
||||
curl -fsSL https://tailscale.com/install.sh | sh
|
||||
sudo tailscale up
|
||||
|
||||
# Get Tailscale IP
|
||||
tailscale ip
|
||||
# Returns: 100.x.y.z
|
||||
|
||||
# Configure OpenClaw to bind to Tailscale
|
||||
cat > ~/.openclaw/openclaw.json <<EOF
|
||||
{
|
||||
"gateway": {
|
||||
"bind": "tailnet",
|
||||
"port": 18789
|
||||
},
|
||||
"tailscale": {
|
||||
"mode": "on",
|
||||
"resetOnExit": false
|
||||
}
|
||||
}
|
||||
EOF
|
||||
```
|
||||
|
||||
**Tailscale vs SSH Tunnel:**
|
||||
|
||||
| Feature | Tailscale | SSH Tunnel |
|
||||
|---------|-----------|------------|
|
||||
| Setup | Very easy | Moderate |
|
||||
| Persistence | Automatic | Requires autossh |
|
||||
| Multiple devices | Built-in | One tunnel per connection |
|
||||
| NAT traversal | Works | Requires exposed SSH |
|
||||
| Access control | Tailscale ACL | SSH keys |
|
||||
|
||||
### 6.3 Firewall Configuration (UFW)
|
||||
|
||||
```bash
|
||||
# Default deny
|
||||
sudo ufw default deny incoming
|
||||
sudo ufw default allow outgoing
|
||||
|
||||
# Allow SSH
|
||||
sudo ufw allow 22/tcp
|
||||
|
||||
# Allow Tailscale only (if using)
|
||||
sudo ufw allow in on tailscale0 to any port 18789
|
||||
|
||||
# Block public access to OpenClaw
|
||||
# (bind is 127.0.0.1, so this is defense in depth)
|
||||
|
||||
sudo ufw enable
|
||||
```
|
||||
|
||||
### 6.4 Authentication Configuration
|
||||
|
||||
```json
|
||||
{
|
||||
"gateway": {
|
||||
"bind": "127.0.0.1",
|
||||
"port": 18789,
|
||||
"auth": {
|
||||
"mode": "token",
|
||||
"token": "your-64-char-hex-token-here"
|
||||
},
|
||||
"controlUi": {
|
||||
"allowedOrigins": [
|
||||
"http://localhost:18789",
|
||||
"https://your-domain.tailnet-name.ts.net"
|
||||
],
|
||||
"allowInsecureAuth": false,
|
||||
"dangerouslyDisableDeviceAuth": false
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Generate secure token:**
|
||||
|
||||
```bash
|
||||
openssl rand -hex 32
|
||||
```
|
||||
|
||||
### 6.5 Sandboxing Considerations
|
||||
|
||||
OpenClaw executes arbitrary shell commands and file operations by default. For production:
|
||||
|
||||
1. **Run as non-root user:**
|
||||
```bash
|
||||
sudo useradd -r -s /bin/false openclaw
|
||||
sudo mkdir -p /home/openclaw/.openclaw
|
||||
sudo chown -R openclaw:openclaw /home/openclaw
|
||||
```
|
||||
|
||||
2. **Use Docker for isolation:**
|
||||
```bash
|
||||
docker run --security-opt=no-new-privileges \
|
||||
--cap-drop=ALL \
|
||||
--read-only \
|
||||
--tmpfs /tmp:noexec,nosuid,size=100m \
|
||||
openclaw/openclaw:latest
|
||||
```
|
||||
|
||||
3. **Enable dmPolicy for channels:**
|
||||
```json
|
||||
{
|
||||
"channels": {
|
||||
"telegram": {
|
||||
"dmPolicy": "pairing" // Require one-time code for new contacts
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 7. MCP (Model Context Protocol) Tools
|
||||
|
||||
### 7.1 Overview
|
||||
|
||||
MCP is an open standard created by Anthropic (donated to Linux Foundation in Dec 2025) that lets AI applications connect to external tools through a universal interface. Think of it as "USB-C for AI."
|
||||
|
||||
### 7.2 MCP vs OpenClaw Skills
|
||||
|
||||
| Aspect | MCP | OpenClaw Skills |
|
||||
|--------|-----|-----------------|
|
||||
| **Protocol** | Standardized (Anthropic) | OpenClaw-specific |
|
||||
| **Isolation** | Process-isolated | Runs in agent context |
|
||||
| **Security** | Higher (sandboxed) | Lower (full system access) |
|
||||
| **Discovery** | Automatic via protocol | Manual via SKILL.md |
|
||||
| **Ecosystem** | 10,000+ servers | 5400+ skills |
|
||||
|
||||
**Note:** OpenClaw currently has limited native MCP support. Use `mcporter` tool for MCP integration.
|
||||
|
||||
### 7.3 Using MCPorter (MCP Bridge)
|
||||
|
||||
```bash
|
||||
# Install mcporter
|
||||
clawhub install mcporter
|
||||
|
||||
# Configure MCP server
|
||||
mcporter config add github \
|
||||
--url "https://api.github.com/mcp" \
|
||||
--token "ghp_..."
|
||||
|
||||
# List available tools
|
||||
mcporter list
|
||||
|
||||
# Call MCP tool
|
||||
mcporter call github.list_repos --owner "rockachopa"
|
||||
```
|
||||
|
||||
### 7.4 Popular MCP Servers
|
||||
|
||||
| Server | Purpose | Integration |
|
||||
|--------|---------|-------------|
|
||||
| **GitHub** | Repo management, PRs, issues | `mcp-github` |
|
||||
| **Slack** | Messaging, channel management | `mcp-slack` |
|
||||
| **PostgreSQL** | Database queries | `mcp-postgres` |
|
||||
| **Filesystem** | File operations (sandboxed) | `mcp-filesystem` |
|
||||
| **Brave Search** | Web search | `mcp-brave` |
|
||||
|
||||
---
|
||||
|
||||
## 8. Recommendations for Timmy Time Dashboard
|
||||
|
||||
### 8.1 Deployment Strategy for Hermes VPS (2GB RAM)
|
||||
|
||||
Given the hardware constraints, here's the recommended approach:
|
||||
|
||||
**Option A: External API Only (Recommended)**
|
||||
```
|
||||
┌─────────────────────────────────────────┐
|
||||
│ Hermes VPS (2GB RAM) │
|
||||
│ ┌─────────────────────────────────┐ │
|
||||
│ │ OpenClaw Gateway │ │
|
||||
│ │ (npm global install) │ │
|
||||
│ └─────────────┬───────────────────┘ │
|
||||
│ │ │
|
||||
│ ▼ │
|
||||
│ ┌─────────────────────────────────┐ │
|
||||
│ │ OpenRouter API (Free Tier) │ │
|
||||
│ │ google/gemma-3-4b-it:free │ │
|
||||
│ └─────────────────────────────────┘ │
|
||||
│ │
|
||||
│ NO OLLAMA - insufficient RAM │
|
||||
└─────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
**Option B: Hybrid with External Ollama**
|
||||
```
|
||||
┌──────────────────────┐ ┌──────────────────────────┐
|
||||
│ Hermes VPS (2GB) │ │ Separate Ollama Host │
|
||||
│ ┌────────────────┐ │ │ ┌────────────────────┐ │
|
||||
│ │ OpenClaw │ │◄────►│ │ Ollama Server │ │
|
||||
│ │ (external API) │ │ │ │ (8GB+ RAM required)│ │
|
||||
│ └────────────────┘ │ │ └────────────────────┘ │
|
||||
└──────────────────────┘ └──────────────────────────┘
|
||||
```
|
||||
|
||||
### 8.2 Configuration Summary
|
||||
|
||||
```json
|
||||
{
|
||||
"gateway": {
|
||||
"bind": "127.0.0.1",
|
||||
"port": 18789,
|
||||
"auth": {
|
||||
"mode": "token",
|
||||
"token": "GENERATE_WITH_OPENSSL_RAND"
|
||||
}
|
||||
},
|
||||
"models": {
|
||||
"providers": {
|
||||
"openrouter": {
|
||||
"apiKey": "${OPENROUTER_API_KEY}",
|
||||
"models": [
|
||||
{
|
||||
"id": "google/gemma-3-4b-it:free",
|
||||
"contextWindow": 131072,
|
||||
"maxTokens": 4096
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"agents": {
|
||||
"defaults": {
|
||||
"model": {
|
||||
"primary": "openrouter/google/gemma-3-4b-it:free"
|
||||
},
|
||||
"maxIterations": 10,
|
||||
"timeout": 90,
|
||||
"maxConcurrent": 2
|
||||
}
|
||||
},
|
||||
"channels": {
|
||||
"telegram": {
|
||||
"enabled": true,
|
||||
"dmPolicy": "pairing"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 8.3 Migration Path (Future)
|
||||
|
||||
When upgrading to a larger VPS (4-8GB RAM):
|
||||
|
||||
1. **Phase 1:** Enable Ollama with Llama 3.2 3B as fallback
|
||||
2. **Phase 2:** Add browser automation skills (requires 4GB+ RAM)
|
||||
3. **Phase 3:** Enable multi-agent routing with specialized agents
|
||||
4. **Phase 4:** Add MCP server integration for external tools
|
||||
|
||||
---
|
||||
|
||||
## 9. References
|
||||
|
||||
1. OpenClaw Official Documentation: https://docs.openclaw.ai
|
||||
2. Ollama Integration Guide: https://docs.ollama.com/integrations/openclaw
|
||||
3. OpenRouter Documentation: https://openrouter.ai/docs
|
||||
4. MCP Specification: https://modelcontextprotocol.io
|
||||
5. OpenClaw Community Discord: https://discord.gg/openclaw
|
||||
6. GitHub Repository: https://github.com/openclaw/openclaw
|
||||
|
||||
---
|
||||
|
||||
## 10. Appendix: Quick Command Reference
|
||||
|
||||
```bash
|
||||
# Installation
|
||||
curl -fsSL https://openclaw.ai/install.sh | bash
|
||||
|
||||
# Configuration
|
||||
openclaw onboard # Interactive setup
|
||||
openclaw configure # Edit config
|
||||
openclaw config set <key> <value> # Set specific value
|
||||
|
||||
# Gateway management
|
||||
openclaw gateway # Start gateway
|
||||
openclaw gateway --verbose # Start with logs
|
||||
openclaw gateway status # Check status
|
||||
openclaw gateway restart # Restart gateway
|
||||
openclaw gateway stop # Stop gateway
|
||||
|
||||
# Model management
|
||||
openclaw models list # List available models
|
||||
openclaw models set <model> # Set default model
|
||||
openclaw models status # Check model status
|
||||
|
||||
# Diagnostics
|
||||
openclaw doctor # System health check
|
||||
openclaw doctor --repair # Auto-fix issues
|
||||
openclaw security audit # Security check
|
||||
|
||||
# Dashboard
|
||||
openclaw dashboard # Open web UI
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
*End of Research Report*
|
||||
@@ -43,8 +43,6 @@ from dashboard.routes.memory import router as memory_router
|
||||
from dashboard.routes.mobile import router as mobile_router
|
||||
from dashboard.routes.models import api_router as models_api_router
|
||||
from dashboard.routes.models import router as models_router
|
||||
from dashboard.routes.quests import router as quests_router
|
||||
from dashboard.routes.scorecards import router as scorecards_router
|
||||
from dashboard.routes.spark import router as spark_router
|
||||
from dashboard.routes.system import router as system_router
|
||||
from dashboard.routes.tasks import router as tasks_router
|
||||
@@ -629,8 +627,6 @@ app.include_router(world_router)
|
||||
app.include_router(matrix_router)
|
||||
app.include_router(tower_router)
|
||||
app.include_router(daily_run_router)
|
||||
app.include_router(quests_router)
|
||||
app.include_router(scorecards_router)
|
||||
|
||||
|
||||
@app.websocket("/ws")
|
||||
|
||||
@@ -365,15 +365,6 @@ async def daily_run_metrics_api(lookback_days: int = 7):
|
||||
status_code=503,
|
||||
)
|
||||
|
||||
# Check for quest completions based on Daily Run metrics
|
||||
quest_rewards = []
|
||||
try:
|
||||
from dashboard.routes.quests import check_daily_run_quests
|
||||
|
||||
quest_rewards = await check_daily_run_quests(agent_id="system")
|
||||
except Exception as exc:
|
||||
logger.debug("Quest checking failed: %s", exc)
|
||||
|
||||
return JSONResponse(
|
||||
{
|
||||
"status": "ok",
|
||||
@@ -398,7 +389,6 @@ async def daily_run_metrics_api(lookback_days: int = 7):
|
||||
"previous": metrics.total_touched_previous,
|
||||
},
|
||||
"generated_at": metrics.generated_at,
|
||||
"quest_rewards": quest_rewards,
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
@@ -1,377 +0,0 @@
|
||||
"""Quest system routes for agent token rewards.
|
||||
|
||||
Provides API endpoints for:
|
||||
- Listing quests and their status
|
||||
- Claiming quest rewards
|
||||
- Getting quest leaderboard
|
||||
- Quest progress tracking
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from typing import Any
|
||||
|
||||
from fastapi import APIRouter, Request
|
||||
from fastapi.responses import HTMLResponse, JSONResponse
|
||||
from pydantic import BaseModel
|
||||
|
||||
from dashboard.templating import templates
|
||||
from timmy.quest_system import (
|
||||
QuestStatus,
|
||||
auto_evaluate_all_quests,
|
||||
claim_quest_reward,
|
||||
evaluate_quest_progress,
|
||||
get_active_quests,
|
||||
get_agent_quests_status,
|
||||
get_quest_definition,
|
||||
get_quest_leaderboard,
|
||||
load_quest_config,
|
||||
)
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
router = APIRouter(prefix="/quests", tags=["quests"])
|
||||
|
||||
|
||||
class ClaimQuestRequest(BaseModel):
|
||||
"""Request to claim a quest reward."""
|
||||
|
||||
agent_id: str
|
||||
quest_id: str
|
||||
|
||||
|
||||
class EvaluateQuestRequest(BaseModel):
|
||||
"""Request to manually evaluate quest progress."""
|
||||
|
||||
agent_id: str
|
||||
quest_id: str
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# API Endpoints
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@router.get("/api/definitions")
|
||||
async def get_quest_definitions_api() -> JSONResponse:
|
||||
"""Get all quest definitions.
|
||||
|
||||
Returns:
|
||||
JSON list of all quest definitions with their criteria.
|
||||
"""
|
||||
definitions = get_active_quests()
|
||||
return JSONResponse(
|
||||
{
|
||||
"quests": [
|
||||
{
|
||||
"id": q.id,
|
||||
"name": q.name,
|
||||
"description": q.description,
|
||||
"reward_tokens": q.reward_tokens,
|
||||
"type": q.quest_type.value,
|
||||
"repeatable": q.repeatable,
|
||||
"cooldown_hours": q.cooldown_hours,
|
||||
"criteria": q.criteria,
|
||||
}
|
||||
for q in definitions
|
||||
]
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
@router.get("/api/status/{agent_id}")
|
||||
async def get_agent_quest_status(agent_id: str) -> JSONResponse:
|
||||
"""Get quest status for a specific agent.
|
||||
|
||||
Returns:
|
||||
Complete quest status including progress, completion counts,
|
||||
and tokens earned.
|
||||
"""
|
||||
status = get_agent_quests_status(agent_id)
|
||||
return JSONResponse(status)
|
||||
|
||||
|
||||
@router.post("/api/claim")
|
||||
async def claim_quest_reward_api(request: ClaimQuestRequest) -> JSONResponse:
|
||||
"""Claim a quest reward for an agent.
|
||||
|
||||
The quest must be completed but not yet claimed.
|
||||
"""
|
||||
reward = claim_quest_reward(request.quest_id, request.agent_id)
|
||||
|
||||
if not reward:
|
||||
return JSONResponse(
|
||||
{
|
||||
"success": False,
|
||||
"error": "Quest not completed, already claimed, or on cooldown",
|
||||
},
|
||||
status_code=400,
|
||||
)
|
||||
|
||||
return JSONResponse(
|
||||
{
|
||||
"success": True,
|
||||
"reward": reward,
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
@router.post("/api/evaluate")
|
||||
async def evaluate_quest_api(request: EvaluateQuestRequest) -> JSONResponse:
|
||||
"""Manually evaluate quest progress with provided context.
|
||||
|
||||
This is useful for testing or when the quest completion
|
||||
needs to be triggered manually.
|
||||
"""
|
||||
quest = get_quest_definition(request.quest_id)
|
||||
if not quest:
|
||||
return JSONResponse(
|
||||
{"success": False, "error": "Quest not found"},
|
||||
status_code=404,
|
||||
)
|
||||
|
||||
# Build evaluation context based on quest type
|
||||
context = await _build_evaluation_context(quest)
|
||||
|
||||
progress = evaluate_quest_progress(request.quest_id, request.agent_id, context)
|
||||
|
||||
if not progress:
|
||||
return JSONResponse(
|
||||
{"success": False, "error": "Failed to evaluate quest"},
|
||||
status_code=500,
|
||||
)
|
||||
|
||||
# Auto-claim if completed
|
||||
reward = None
|
||||
if progress.status == QuestStatus.COMPLETED:
|
||||
reward = claim_quest_reward(request.quest_id, request.agent_id)
|
||||
|
||||
return JSONResponse(
|
||||
{
|
||||
"success": True,
|
||||
"progress": progress.to_dict(),
|
||||
"reward": reward,
|
||||
"completed": progress.status == QuestStatus.COMPLETED,
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
@router.get("/api/leaderboard")
|
||||
async def get_leaderboard_api() -> JSONResponse:
|
||||
"""Get the quest completion leaderboard.
|
||||
|
||||
Returns agents sorted by total tokens earned.
|
||||
"""
|
||||
leaderboard = get_quest_leaderboard()
|
||||
return JSONResponse(
|
||||
{
|
||||
"leaderboard": leaderboard,
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
@router.post("/api/reload")
|
||||
async def reload_quest_config_api() -> JSONResponse:
|
||||
"""Reload quest configuration from quests.yaml.
|
||||
|
||||
Useful for applying quest changes without restarting.
|
||||
"""
|
||||
definitions, quest_settings = load_quest_config()
|
||||
return JSONResponse(
|
||||
{
|
||||
"success": True,
|
||||
"quests_loaded": len(definitions),
|
||||
"settings": quest_settings,
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Dashboard UI Endpoints
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@router.get("", response_class=HTMLResponse)
|
||||
async def quests_dashboard(request: Request) -> HTMLResponse:
|
||||
"""Main quests dashboard page."""
|
||||
return templates.TemplateResponse(
|
||||
request,
|
||||
"quests.html",
|
||||
{"agent_id": "current_user"},
|
||||
)
|
||||
|
||||
|
||||
@router.get("/panel/{agent_id}", response_class=HTMLResponse)
|
||||
async def quests_panel(request: Request, agent_id: str) -> HTMLResponse:
|
||||
"""Quest panel for HTMX partial updates."""
|
||||
status = get_agent_quests_status(agent_id)
|
||||
return templates.TemplateResponse(
|
||||
request,
|
||||
"partials/quests_panel.html",
|
||||
{
|
||||
"agent_id": agent_id,
|
||||
"quests": status["quests"],
|
||||
"total_tokens": status["total_tokens_earned"],
|
||||
"completed_count": status["total_quests_completed"],
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Internal Functions
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
async def _build_evaluation_context(quest) -> dict[str, Any]:
|
||||
"""Build evaluation context for a quest based on its type."""
|
||||
context: dict[str, Any] = {}
|
||||
|
||||
if quest.quest_type.value == "issue_count":
|
||||
# Fetch closed issues with relevant labels
|
||||
context["closed_issues"] = await _fetch_closed_issues(
|
||||
quest.criteria.get("issue_labels", [])
|
||||
)
|
||||
|
||||
elif quest.quest_type.value == "issue_reduce":
|
||||
# Fetch current and previous issue counts
|
||||
labels = quest.criteria.get("issue_labels", [])
|
||||
context["current_issue_count"] = await _fetch_open_issue_count(labels)
|
||||
context["previous_issue_count"] = await _fetch_previous_issue_count(
|
||||
labels, quest.criteria.get("lookback_days", 7)
|
||||
)
|
||||
|
||||
elif quest.quest_type.value == "daily_run":
|
||||
# Fetch Daily Run metrics
|
||||
metrics = await _fetch_daily_run_metrics()
|
||||
context["sessions_completed"] = metrics.get("sessions_completed", 0)
|
||||
|
||||
return context
|
||||
|
||||
|
||||
async def _fetch_closed_issues(labels: list[str]) -> list[dict]:
|
||||
"""Fetch closed issues matching the given labels."""
|
||||
try:
|
||||
from dashboard.routes.daily_run import GiteaClient, _load_config
|
||||
|
||||
config = _load_config()
|
||||
token = _get_gitea_token(config)
|
||||
client = GiteaClient(config, token)
|
||||
|
||||
if not client.is_available():
|
||||
return []
|
||||
|
||||
# Build label filter
|
||||
label_filter = ",".join(labels) if labels else ""
|
||||
|
||||
issues = client.get_paginated(
|
||||
"issues",
|
||||
{"state": "closed", "labels": label_filter, "limit": 100},
|
||||
)
|
||||
|
||||
return issues
|
||||
except Exception as exc:
|
||||
logger.debug("Failed to fetch closed issues: %s", exc)
|
||||
return []
|
||||
|
||||
|
||||
async def _fetch_open_issue_count(labels: list[str]) -> int:
|
||||
"""Fetch count of open issues with given labels."""
|
||||
try:
|
||||
from dashboard.routes.daily_run import GiteaClient, _load_config
|
||||
|
||||
config = _load_config()
|
||||
token = _get_gitea_token(config)
|
||||
client = GiteaClient(config, token)
|
||||
|
||||
if not client.is_available():
|
||||
return 0
|
||||
|
||||
label_filter = ",".join(labels) if labels else ""
|
||||
|
||||
issues = client.get_paginated(
|
||||
"issues",
|
||||
{"state": "open", "labels": label_filter, "limit": 100},
|
||||
)
|
||||
|
||||
return len(issues)
|
||||
except Exception as exc:
|
||||
logger.debug("Failed to fetch open issue count: %s", exc)
|
||||
return 0
|
||||
|
||||
|
||||
async def _fetch_previous_issue_count(labels: list[str], lookback_days: int) -> int:
|
||||
"""Fetch previous issue count (simplified - uses current for now)."""
|
||||
# This is a simplified implementation
|
||||
# In production, you'd query historical data
|
||||
return await _fetch_open_issue_count(labels)
|
||||
|
||||
|
||||
async def _fetch_daily_run_metrics() -> dict[str, Any]:
|
||||
"""Fetch Daily Run metrics."""
|
||||
try:
|
||||
from dashboard.routes.daily_run import _get_metrics
|
||||
|
||||
metrics = _get_metrics(lookback_days=7)
|
||||
if metrics:
|
||||
return {
|
||||
"sessions_completed": metrics.sessions_completed,
|
||||
"sessions_previous": metrics.sessions_previous,
|
||||
}
|
||||
except Exception as exc:
|
||||
logger.debug("Failed to fetch Daily Run metrics: %s", exc)
|
||||
|
||||
return {"sessions_completed": 0, "sessions_previous": 0}
|
||||
|
||||
|
||||
def _get_gitea_token(config: dict) -> str | None:
|
||||
"""Get Gitea token from config."""
|
||||
if "token" in config:
|
||||
return config["token"]
|
||||
|
||||
from pathlib import Path
|
||||
|
||||
token_file = Path(config.get("token_file", "~/.hermes/gitea_token")).expanduser()
|
||||
if token_file.exists():
|
||||
return token_file.read_text().strip()
|
||||
|
||||
return None
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Daily Run Integration
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
async def check_daily_run_quests(agent_id: str = "system") -> list[dict]:
|
||||
"""Check and award Daily Run related quests.
|
||||
|
||||
Called by the Daily Run system when metrics are updated.
|
||||
|
||||
Returns:
|
||||
List of rewards awarded
|
||||
"""
|
||||
# Check if auto-detect is enabled
|
||||
_, quest_settings = load_quest_config()
|
||||
if not quest_settings.get("auto_detect_on_daily_run", True):
|
||||
return []
|
||||
|
||||
# Build context from Daily Run metrics
|
||||
metrics = await _fetch_daily_run_metrics()
|
||||
context = {
|
||||
"sessions_completed": metrics.get("sessions_completed", 0),
|
||||
"sessions_previous": metrics.get("sessions_previous", 0),
|
||||
}
|
||||
|
||||
# Add closed issues for issue_count quests
|
||||
active_quests = get_active_quests()
|
||||
for quest in active_quests:
|
||||
if quest.quest_type.value == "issue_count":
|
||||
labels = quest.criteria.get("issue_labels", [])
|
||||
context["closed_issues"] = await _fetch_closed_issues(labels)
|
||||
break # Only need to fetch once
|
||||
|
||||
# Evaluate all quests
|
||||
rewards = auto_evaluate_all_quests(agent_id, context)
|
||||
|
||||
return rewards
|
||||
@@ -1,353 +0,0 @@
|
||||
"""Agent scorecard routes — API endpoints for generating and viewing scorecards."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from datetime import datetime
|
||||
|
||||
from fastapi import APIRouter, Query, Request
|
||||
from fastapi.responses import HTMLResponse, JSONResponse
|
||||
|
||||
from dashboard.services.scorecard_service import (
|
||||
PeriodType,
|
||||
generate_all_scorecards,
|
||||
generate_scorecard,
|
||||
get_tracked_agents,
|
||||
)
|
||||
from dashboard.templating import templates
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
router = APIRouter(prefix="/scorecards", tags=["scorecards"])
|
||||
|
||||
|
||||
def _format_period_label(period_type: PeriodType) -> str:
|
||||
"""Format a period type for display."""
|
||||
return "Daily" if period_type == PeriodType.daily else "Weekly"
|
||||
|
||||
|
||||
@router.get("/api/agents")
|
||||
async def list_tracked_agents() -> dict[str, list[str]]:
|
||||
"""Return the list of tracked agent IDs.
|
||||
|
||||
Returns:
|
||||
Dict with "agents" key containing list of agent IDs
|
||||
"""
|
||||
return {"agents": get_tracked_agents()}
|
||||
|
||||
|
||||
@router.get("/api/{agent_id}")
|
||||
async def get_agent_scorecard(
|
||||
agent_id: str,
|
||||
period: str = Query(default="daily", description="Period type: 'daily' or 'weekly'"),
|
||||
) -> JSONResponse:
|
||||
"""Generate a scorecard for a specific agent.
|
||||
|
||||
Args:
|
||||
agent_id: The agent ID (e.g., 'kimi', 'claude')
|
||||
period: 'daily' or 'weekly' (default: daily)
|
||||
|
||||
Returns:
|
||||
JSON response with scorecard data
|
||||
"""
|
||||
try:
|
||||
period_type = PeriodType(period.lower())
|
||||
except ValueError:
|
||||
return JSONResponse(
|
||||
status_code=400,
|
||||
content={"error": f"Invalid period '{period}'. Use 'daily' or 'weekly'."},
|
||||
)
|
||||
|
||||
try:
|
||||
scorecard = generate_scorecard(agent_id, period_type)
|
||||
|
||||
if scorecard is None:
|
||||
return JSONResponse(
|
||||
status_code=404,
|
||||
content={"error": f"No scorecard found for agent '{agent_id}'"},
|
||||
)
|
||||
|
||||
return JSONResponse(content=scorecard.to_dict())
|
||||
|
||||
except Exception as exc:
|
||||
logger.error("Failed to generate scorecard for %s: %s", agent_id, exc)
|
||||
return JSONResponse(
|
||||
status_code=500,
|
||||
content={"error": f"Failed to generate scorecard: {str(exc)}"},
|
||||
)
|
||||
|
||||
|
||||
@router.get("/api")
|
||||
async def get_all_scorecards(
|
||||
period: str = Query(default="daily", description="Period type: 'daily' or 'weekly'"),
|
||||
) -> JSONResponse:
|
||||
"""Generate scorecards for all tracked agents.
|
||||
|
||||
Args:
|
||||
period: 'daily' or 'weekly' (default: daily)
|
||||
|
||||
Returns:
|
||||
JSON response with list of scorecard data
|
||||
"""
|
||||
try:
|
||||
period_type = PeriodType(period.lower())
|
||||
except ValueError:
|
||||
return JSONResponse(
|
||||
status_code=400,
|
||||
content={"error": f"Invalid period '{period}'. Use 'daily' or 'weekly'."},
|
||||
)
|
||||
|
||||
try:
|
||||
scorecards = generate_all_scorecards(period_type)
|
||||
return JSONResponse(
|
||||
content={
|
||||
"period": period_type.value,
|
||||
"scorecards": [s.to_dict() for s in scorecards],
|
||||
"count": len(scorecards),
|
||||
}
|
||||
)
|
||||
|
||||
except Exception as exc:
|
||||
logger.error("Failed to generate scorecards: %s", exc)
|
||||
return JSONResponse(
|
||||
status_code=500,
|
||||
content={"error": f"Failed to generate scorecards: {str(exc)}"},
|
||||
)
|
||||
|
||||
|
||||
@router.get("", response_class=HTMLResponse)
|
||||
async def scorecards_page(request: Request) -> HTMLResponse:
|
||||
"""Render the scorecards dashboard page.
|
||||
|
||||
Returns:
|
||||
HTML page with scorecard interface
|
||||
"""
|
||||
agents = get_tracked_agents()
|
||||
return templates.TemplateResponse(
|
||||
request,
|
||||
"scorecards.html",
|
||||
{
|
||||
"agents": agents,
|
||||
"periods": ["daily", "weekly"],
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
@router.get("/panel/{agent_id}", response_class=HTMLResponse)
|
||||
async def agent_scorecard_panel(
|
||||
request: Request,
|
||||
agent_id: str,
|
||||
period: str = Query(default="daily"),
|
||||
) -> HTMLResponse:
|
||||
"""Render an individual agent scorecard panel (for HTMX).
|
||||
|
||||
Args:
|
||||
request: The request object
|
||||
agent_id: The agent ID
|
||||
period: 'daily' or 'weekly'
|
||||
|
||||
Returns:
|
||||
HTML panel with scorecard content
|
||||
"""
|
||||
try:
|
||||
period_type = PeriodType(period.lower())
|
||||
except ValueError:
|
||||
period_type = PeriodType.daily
|
||||
|
||||
try:
|
||||
scorecard = generate_scorecard(agent_id, period_type)
|
||||
|
||||
if scorecard is None:
|
||||
return HTMLResponse(
|
||||
content=f"""
|
||||
<div class="card mc-panel">
|
||||
<h5 class="card-title">{agent_id.title()}</h5>
|
||||
<p class="text-muted">No activity recorded for this period.</p>
|
||||
</div>
|
||||
""",
|
||||
status_code=200,
|
||||
)
|
||||
|
||||
data = scorecard.to_dict()
|
||||
|
||||
# Build patterns HTML
|
||||
patterns_html = ""
|
||||
if data["patterns"]:
|
||||
patterns_list = "".join([f"<li>{p}</li>" for p in data["patterns"]])
|
||||
patterns_html = f"""
|
||||
<div class="mt-3">
|
||||
<h6>Patterns</h6>
|
||||
<ul class="list-unstyled text-info">
|
||||
{patterns_list}
|
||||
</ul>
|
||||
</div>
|
||||
"""
|
||||
|
||||
# Build bullets HTML
|
||||
bullets_html = "".join([f"<li>{b}</li>" for b in data["narrative_bullets"]])
|
||||
|
||||
# Build metrics summary
|
||||
metrics = data["metrics"]
|
||||
|
||||
html_content = f"""
|
||||
<div class="card mc-panel">
|
||||
<div class="card-header d-flex justify-content-between align-items-center">
|
||||
<h5 class="card-title mb-0">{agent_id.title()}</h5>
|
||||
<span class="badge bg-secondary">{_format_period_label(period_type)}</span>
|
||||
</div>
|
||||
<div class="card-body">
|
||||
<ul class="list-unstyled mb-3">
|
||||
{bullets_html}
|
||||
</ul>
|
||||
|
||||
<div class="row text-center small">
|
||||
<div class="col">
|
||||
<div class="text-muted">PRs</div>
|
||||
<div class="fw-bold">{metrics["prs_opened"]}/{metrics["prs_merged"]}</div>
|
||||
<div class="text-muted" style="font-size: 0.75rem;">
|
||||
{int(metrics["pr_merge_rate"] * 100)}% merged
|
||||
</div>
|
||||
</div>
|
||||
<div class="col">
|
||||
<div class="text-muted">Issues</div>
|
||||
<div class="fw-bold">{metrics["issues_touched"]}</div>
|
||||
</div>
|
||||
<div class="col">
|
||||
<div class="text-muted">Tests</div>
|
||||
<div class="fw-bold">{metrics["tests_affected"]}</div>
|
||||
</div>
|
||||
<div class="col">
|
||||
<div class="text-muted">Tokens</div>
|
||||
<div class="fw-bold {"text-success" if metrics["token_net"] >= 0 else "text-danger"}">
|
||||
{"+" if metrics["token_net"] > 0 else ""}{metrics["token_net"]}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{patterns_html}
|
||||
</div>
|
||||
</div>
|
||||
"""
|
||||
|
||||
return HTMLResponse(content=html_content)
|
||||
|
||||
except Exception as exc:
|
||||
logger.error("Failed to render scorecard panel for %s: %s", agent_id, exc)
|
||||
return HTMLResponse(
|
||||
content=f"""
|
||||
<div class="card mc-panel border-danger">
|
||||
<h5 class="card-title">{agent_id.title()}</h5>
|
||||
<p class="text-danger">Error loading scorecard: {str(exc)}</p>
|
||||
</div>
|
||||
""",
|
||||
status_code=200,
|
||||
)
|
||||
|
||||
|
||||
@router.get("/all/panels", response_class=HTMLResponse)
|
||||
async def all_scorecard_panels(
|
||||
request: Request,
|
||||
period: str = Query(default="daily"),
|
||||
) -> HTMLResponse:
|
||||
"""Render all agent scorecard panels (for HTMX).
|
||||
|
||||
Args:
|
||||
request: The request object
|
||||
period: 'daily' or 'weekly'
|
||||
|
||||
Returns:
|
||||
HTML with all scorecard panels
|
||||
"""
|
||||
try:
|
||||
period_type = PeriodType(period.lower())
|
||||
except ValueError:
|
||||
period_type = PeriodType.daily
|
||||
|
||||
try:
|
||||
scorecards = generate_all_scorecards(period_type)
|
||||
|
||||
panels: list[str] = []
|
||||
for scorecard in scorecards:
|
||||
data = scorecard.to_dict()
|
||||
|
||||
# Build patterns HTML
|
||||
patterns_html = ""
|
||||
if data["patterns"]:
|
||||
patterns_list = "".join([f"<li>{p}</li>" for p in data["patterns"]])
|
||||
patterns_html = f"""
|
||||
<div class="mt-3">
|
||||
<h6>Patterns</h6>
|
||||
<ul class="list-unstyled text-info">
|
||||
{patterns_list}
|
||||
</ul>
|
||||
</div>
|
||||
"""
|
||||
|
||||
# Build bullets HTML
|
||||
bullets_html = "".join([f"<li>{b}</li>" for b in data["narrative_bullets"]])
|
||||
metrics = data["metrics"]
|
||||
|
||||
panel_html = f"""
|
||||
<div class="col-md-6 col-lg-4 mb-3">
|
||||
<div class="card mc-panel">
|
||||
<div class="card-header d-flex justify-content-between align-items-center">
|
||||
<h5 class="card-title mb-0">{scorecard.agent_id.title()}</h5>
|
||||
<span class="badge bg-secondary">{_format_period_label(period_type)}</span>
|
||||
</div>
|
||||
<div class="card-body">
|
||||
<ul class="list-unstyled mb-3">
|
||||
{bullets_html}
|
||||
</ul>
|
||||
|
||||
<div class="row text-center small">
|
||||
<div class="col">
|
||||
<div class="text-muted">PRs</div>
|
||||
<div class="fw-bold">{metrics["prs_opened"]}/{metrics["prs_merged"]}</div>
|
||||
<div class="text-muted" style="font-size: 0.75rem;">
|
||||
{int(metrics["pr_merge_rate"] * 100)}% merged
|
||||
</div>
|
||||
</div>
|
||||
<div class="col">
|
||||
<div class="text-muted">Issues</div>
|
||||
<div class="fw-bold">{metrics["issues_touched"]}</div>
|
||||
</div>
|
||||
<div class="col">
|
||||
<div class="text-muted">Tests</div>
|
||||
<div class="fw-bold">{metrics["tests_affected"]}</div>
|
||||
</div>
|
||||
<div class="col">
|
||||
<div class="text-muted">Tokens</div>
|
||||
<div class="fw-bold {"text-success" if metrics["token_net"] >= 0 else "text-danger"}">
|
||||
{"+" if metrics["token_net"] > 0 else ""}{metrics["token_net"]}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{patterns_html}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
"""
|
||||
panels.append(panel_html)
|
||||
|
||||
html_content = f"""
|
||||
<div class="row">
|
||||
{"".join(panels)}
|
||||
</div>
|
||||
<div class="text-muted small mt-2">
|
||||
Generated: {datetime.now().strftime("%Y-%m-%d %H:%M:%S UTC")}
|
||||
</div>
|
||||
"""
|
||||
|
||||
return HTMLResponse(content=html_content)
|
||||
|
||||
except Exception as exc:
|
||||
logger.error("Failed to render all scorecard panels: %s", exc)
|
||||
return HTMLResponse(
|
||||
content=f"""
|
||||
<div class="alert alert-danger">
|
||||
Error loading scorecards: {str(exc)}
|
||||
</div>
|
||||
""",
|
||||
status_code=200,
|
||||
)
|
||||
@@ -1,17 +0,0 @@
|
||||
"""Dashboard services for business logic."""
|
||||
|
||||
from dashboard.services.scorecard_service import (
|
||||
PeriodType,
|
||||
ScorecardSummary,
|
||||
generate_all_scorecards,
|
||||
generate_scorecard,
|
||||
get_tracked_agents,
|
||||
)
|
||||
|
||||
__all__ = [
|
||||
"PeriodType",
|
||||
"ScorecardSummary",
|
||||
"generate_all_scorecards",
|
||||
"generate_scorecard",
|
||||
"get_tracked_agents",
|
||||
]
|
||||
@@ -1,515 +0,0 @@
|
||||
"""Agent scorecard service — track and summarize agent performance.
|
||||
|
||||
Generates daily/weekly scorecards showing:
|
||||
- Issues touched, PRs opened/merged
|
||||
- Tests affected, tokens earned/spent
|
||||
- Pattern highlights (merge rate, activity quality)
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from dataclasses import dataclass, field
|
||||
from datetime import UTC, datetime, timedelta
|
||||
from enum import StrEnum
|
||||
from typing import Any
|
||||
|
||||
from infrastructure.events.bus import Event, get_event_bus
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Bot/agent usernames to track
|
||||
TRACKED_AGENTS = frozenset({"hermes", "kimi", "manus", "claude", "gemini"})
|
||||
|
||||
|
||||
class PeriodType(StrEnum):
|
||||
daily = "daily"
|
||||
weekly = "weekly"
|
||||
|
||||
|
||||
@dataclass
|
||||
class AgentMetrics:
|
||||
"""Raw metrics collected for an agent over a period."""
|
||||
|
||||
agent_id: str
|
||||
issues_touched: set[int] = field(default_factory=set)
|
||||
prs_opened: set[int] = field(default_factory=set)
|
||||
prs_merged: set[int] = field(default_factory=set)
|
||||
tests_affected: set[str] = field(default_factory=set)
|
||||
tokens_earned: int = 0
|
||||
tokens_spent: int = 0
|
||||
commits: int = 0
|
||||
comments: int = 0
|
||||
|
||||
@property
|
||||
def pr_merge_rate(self) -> float:
|
||||
"""Calculate PR merge rate (0.0 - 1.0)."""
|
||||
opened = len(self.prs_opened)
|
||||
if opened == 0:
|
||||
return 0.0
|
||||
return len(self.prs_merged) / opened
|
||||
|
||||
|
||||
@dataclass
|
||||
class ScorecardSummary:
|
||||
"""A generated scorecard with narrative summary."""
|
||||
|
||||
agent_id: str
|
||||
period_type: PeriodType
|
||||
period_start: datetime
|
||||
period_end: datetime
|
||||
metrics: AgentMetrics
|
||||
narrative_bullets: list[str] = field(default_factory=list)
|
||||
patterns: list[str] = field(default_factory=list)
|
||||
|
||||
def to_dict(self) -> dict[str, Any]:
|
||||
"""Convert scorecard to dictionary for JSON serialization."""
|
||||
return {
|
||||
"agent_id": self.agent_id,
|
||||
"period_type": self.period_type.value,
|
||||
"period_start": self.period_start.isoformat(),
|
||||
"period_end": self.period_end.isoformat(),
|
||||
"metrics": {
|
||||
"issues_touched": len(self.metrics.issues_touched),
|
||||
"prs_opened": len(self.metrics.prs_opened),
|
||||
"prs_merged": len(self.metrics.prs_merged),
|
||||
"pr_merge_rate": round(self.metrics.pr_merge_rate, 2),
|
||||
"tests_affected": len(self.tests_affected),
|
||||
"commits": self.metrics.commits,
|
||||
"comments": self.metrics.comments,
|
||||
"tokens_earned": self.metrics.tokens_earned,
|
||||
"tokens_spent": self.metrics.tokens_spent,
|
||||
"token_net": self.metrics.tokens_earned - self.metrics.tokens_spent,
|
||||
},
|
||||
"narrative_bullets": self.narrative_bullets,
|
||||
"patterns": self.patterns,
|
||||
}
|
||||
|
||||
@property
|
||||
def tests_affected(self) -> set[str]:
|
||||
"""Alias for metrics.tests_affected."""
|
||||
return self.metrics.tests_affected
|
||||
|
||||
|
||||
def _get_period_bounds(
|
||||
period_type: PeriodType, reference_date: datetime | None = None
|
||||
) -> tuple[datetime, datetime]:
|
||||
"""Calculate start and end timestamps for a period.
|
||||
|
||||
Args:
|
||||
period_type: daily or weekly
|
||||
reference_date: The date to calculate from (defaults to now)
|
||||
|
||||
Returns:
|
||||
Tuple of (period_start, period_end) in UTC
|
||||
"""
|
||||
if reference_date is None:
|
||||
reference_date = datetime.now(UTC)
|
||||
|
||||
# Normalize to start of day
|
||||
end = reference_date.replace(hour=0, minute=0, second=0, microsecond=0)
|
||||
|
||||
if period_type == PeriodType.daily:
|
||||
start = end - timedelta(days=1)
|
||||
else: # weekly
|
||||
start = end - timedelta(days=7)
|
||||
|
||||
return start, end
|
||||
|
||||
|
||||
def _collect_events_for_period(
|
||||
start: datetime, end: datetime, agent_id: str | None = None
|
||||
) -> list[Event]:
|
||||
"""Collect events from the event bus for a time period.
|
||||
|
||||
Args:
|
||||
start: Period start time
|
||||
end: Period end time
|
||||
agent_id: Optional agent filter
|
||||
|
||||
Returns:
|
||||
List of matching events
|
||||
"""
|
||||
bus = get_event_bus()
|
||||
events: list[Event] = []
|
||||
|
||||
# Query persisted events for relevant types
|
||||
event_types = [
|
||||
"gitea.push",
|
||||
"gitea.issue.opened",
|
||||
"gitea.issue.comment",
|
||||
"gitea.pull_request",
|
||||
"agent.task.completed",
|
||||
"test.execution",
|
||||
]
|
||||
|
||||
for event_type in event_types:
|
||||
try:
|
||||
type_events = bus.replay(
|
||||
event_type=event_type,
|
||||
source=agent_id,
|
||||
limit=1000,
|
||||
)
|
||||
events.extend(type_events)
|
||||
except Exception as exc:
|
||||
logger.debug("Failed to replay events for %s: %s", event_type, exc)
|
||||
|
||||
# Filter by timestamp
|
||||
filtered = []
|
||||
for event in events:
|
||||
try:
|
||||
event_time = datetime.fromisoformat(event.timestamp.replace("Z", "+00:00"))
|
||||
if start <= event_time < end:
|
||||
filtered.append(event)
|
||||
except (ValueError, AttributeError):
|
||||
continue
|
||||
|
||||
return filtered
|
||||
|
||||
|
||||
def _extract_actor_from_event(event: Event) -> str:
|
||||
"""Extract the actor/agent from an event."""
|
||||
# Try data fields first
|
||||
if "actor" in event.data:
|
||||
return event.data["actor"]
|
||||
if "agent_id" in event.data:
|
||||
return event.data["agent_id"]
|
||||
# Fall back to source
|
||||
return event.source
|
||||
|
||||
|
||||
def _is_tracked_agent(actor: str) -> bool:
|
||||
"""Check if an actor is a tracked agent."""
|
||||
return actor.lower() in TRACKED_AGENTS
|
||||
|
||||
|
||||
def _aggregate_metrics(events: list[Event]) -> dict[str, AgentMetrics]:
|
||||
"""Aggregate metrics from events grouped by agent.
|
||||
|
||||
Args:
|
||||
events: List of events to process
|
||||
|
||||
Returns:
|
||||
Dict mapping agent_id -> AgentMetrics
|
||||
"""
|
||||
metrics_by_agent: dict[str, AgentMetrics] = {}
|
||||
|
||||
for event in events:
|
||||
actor = _extract_actor_from_event(event)
|
||||
|
||||
# Skip non-agent events unless they explicitly have an agent_id
|
||||
if not _is_tracked_agent(actor) and "agent_id" not in event.data:
|
||||
continue
|
||||
|
||||
if actor not in metrics_by_agent:
|
||||
metrics_by_agent[actor] = AgentMetrics(agent_id=actor)
|
||||
|
||||
metrics = metrics_by_agent[actor]
|
||||
|
||||
# Process based on event type
|
||||
event_type = event.type
|
||||
|
||||
if event_type == "gitea.push":
|
||||
metrics.commits += event.data.get("num_commits", 1)
|
||||
|
||||
elif event_type == "gitea.issue.opened":
|
||||
issue_num = event.data.get("issue_number", 0)
|
||||
if issue_num:
|
||||
metrics.issues_touched.add(issue_num)
|
||||
|
||||
elif event_type == "gitea.issue.comment":
|
||||
metrics.comments += 1
|
||||
issue_num = event.data.get("issue_number", 0)
|
||||
if issue_num:
|
||||
metrics.issues_touched.add(issue_num)
|
||||
|
||||
elif event_type == "gitea.pull_request":
|
||||
pr_num = event.data.get("pr_number", 0)
|
||||
action = event.data.get("action", "")
|
||||
merged = event.data.get("merged", False)
|
||||
|
||||
if pr_num:
|
||||
if action == "opened":
|
||||
metrics.prs_opened.add(pr_num)
|
||||
elif action == "closed" and merged:
|
||||
metrics.prs_merged.add(pr_num)
|
||||
# Also count as touched issue for tracking
|
||||
metrics.issues_touched.add(pr_num)
|
||||
|
||||
elif event_type == "agent.task.completed":
|
||||
# Extract test files from task data
|
||||
affected = event.data.get("tests_affected", [])
|
||||
for test in affected:
|
||||
metrics.tests_affected.add(test)
|
||||
|
||||
# Token rewards from task completion
|
||||
reward = event.data.get("token_reward", 0)
|
||||
if reward:
|
||||
metrics.tokens_earned += reward
|
||||
|
||||
elif event_type == "test.execution":
|
||||
# Track test files that were executed
|
||||
test_files = event.data.get("test_files", [])
|
||||
for test in test_files:
|
||||
metrics.tests_affected.add(test)
|
||||
|
||||
return metrics_by_agent
|
||||
|
||||
|
||||
def _query_token_transactions(agent_id: str, start: datetime, end: datetime) -> tuple[int, int]:
|
||||
"""Query the lightning ledger for token transactions.
|
||||
|
||||
Args:
|
||||
agent_id: The agent to query for
|
||||
start: Period start
|
||||
end: Period end
|
||||
|
||||
Returns:
|
||||
Tuple of (tokens_earned, tokens_spent)
|
||||
"""
|
||||
try:
|
||||
from lightning.ledger import get_transactions
|
||||
|
||||
transactions = get_transactions(limit=1000)
|
||||
|
||||
earned = 0
|
||||
spent = 0
|
||||
|
||||
for tx in transactions:
|
||||
# Filter by agent if specified
|
||||
if tx.agent_id and tx.agent_id != agent_id:
|
||||
continue
|
||||
|
||||
# Filter by timestamp
|
||||
try:
|
||||
tx_time = datetime.fromisoformat(tx.created_at.replace("Z", "+00:00"))
|
||||
if not (start <= tx_time < end):
|
||||
continue
|
||||
except (ValueError, AttributeError):
|
||||
continue
|
||||
|
||||
if tx.tx_type.value == "incoming":
|
||||
earned += tx.amount_sats
|
||||
else:
|
||||
spent += tx.amount_sats
|
||||
|
||||
return earned, spent
|
||||
|
||||
except Exception as exc:
|
||||
logger.debug("Failed to query token transactions: %s", exc)
|
||||
return 0, 0
|
||||
|
||||
|
||||
def _generate_narrative_bullets(metrics: AgentMetrics, period_type: PeriodType) -> list[str]:
|
||||
"""Generate narrative summary bullets for a scorecard.
|
||||
|
||||
Args:
|
||||
metrics: The agent's metrics
|
||||
period_type: daily or weekly
|
||||
|
||||
Returns:
|
||||
List of narrative bullet points
|
||||
"""
|
||||
bullets: list[str] = []
|
||||
period_label = "day" if period_type == PeriodType.daily else "week"
|
||||
|
||||
# Activity summary
|
||||
activities = []
|
||||
if metrics.commits:
|
||||
activities.append(f"{metrics.commits} commit{'s' if metrics.commits != 1 else ''}")
|
||||
if len(metrics.prs_opened):
|
||||
activities.append(
|
||||
f"{len(metrics.prs_opened)} PR{'s' if len(metrics.prs_opened) != 1 else ''} opened"
|
||||
)
|
||||
if len(metrics.prs_merged):
|
||||
activities.append(
|
||||
f"{len(metrics.prs_merged)} PR{'s' if len(metrics.prs_merged) != 1 else ''} merged"
|
||||
)
|
||||
if len(metrics.issues_touched):
|
||||
activities.append(
|
||||
f"{len(metrics.issues_touched)} issue{'s' if len(metrics.issues_touched) != 1 else ''} touched"
|
||||
)
|
||||
if metrics.comments:
|
||||
activities.append(f"{metrics.comments} comment{'s' if metrics.comments != 1 else ''}")
|
||||
|
||||
if activities:
|
||||
bullets.append(f"Active across {', '.join(activities)} this {period_label}.")
|
||||
|
||||
# Test activity
|
||||
if len(metrics.tests_affected):
|
||||
bullets.append(
|
||||
f"Affected {len(metrics.tests_affected)} test file{'s' if len(metrics.tests_affected) != 1 else ''}."
|
||||
)
|
||||
|
||||
# Token summary
|
||||
net_tokens = metrics.tokens_earned - metrics.tokens_spent
|
||||
if metrics.tokens_earned or metrics.tokens_spent:
|
||||
if net_tokens > 0:
|
||||
bullets.append(
|
||||
f"Net earned {net_tokens} tokens ({metrics.tokens_earned} earned, {metrics.tokens_spent} spent)."
|
||||
)
|
||||
elif net_tokens < 0:
|
||||
bullets.append(
|
||||
f"Net spent {abs(net_tokens)} tokens ({metrics.tokens_earned} earned, {metrics.tokens_spent} spent)."
|
||||
)
|
||||
else:
|
||||
bullets.append(
|
||||
f"Balanced token flow ({metrics.tokens_earned} earned, {metrics.tokens_spent} spent)."
|
||||
)
|
||||
|
||||
# Handle empty case
|
||||
if not bullets:
|
||||
bullets.append(f"No recorded activity this {period_label}.")
|
||||
|
||||
return bullets
|
||||
|
||||
|
||||
def _detect_patterns(metrics: AgentMetrics) -> list[str]:
|
||||
"""Detect interesting patterns in agent behavior.
|
||||
|
||||
Args:
|
||||
metrics: The agent's metrics
|
||||
|
||||
Returns:
|
||||
List of pattern descriptions
|
||||
"""
|
||||
patterns: list[str] = []
|
||||
|
||||
pr_opened = len(metrics.prs_opened)
|
||||
merge_rate = metrics.pr_merge_rate
|
||||
|
||||
# Merge rate patterns
|
||||
if pr_opened >= 3:
|
||||
if merge_rate >= 0.8:
|
||||
patterns.append("High merge rate with few failures — code quality focus.")
|
||||
elif merge_rate <= 0.3:
|
||||
patterns.append("Lots of noisy PRs, low merge rate — may need review support.")
|
||||
|
||||
# Activity patterns
|
||||
if metrics.commits > 10 and pr_opened == 0:
|
||||
patterns.append("High commit volume without PRs — working directly on main?")
|
||||
|
||||
if len(metrics.issues_touched) > 5 and metrics.comments == 0:
|
||||
patterns.append("Touching many issues but low comment volume — silent worker.")
|
||||
|
||||
if metrics.comments > len(metrics.issues_touched) * 2:
|
||||
patterns.append("Highly communicative — lots of discussion relative to work items.")
|
||||
|
||||
# Token patterns
|
||||
net_tokens = metrics.tokens_earned - metrics.tokens_spent
|
||||
if net_tokens > 100:
|
||||
patterns.append("Strong token accumulation — high value delivery.")
|
||||
elif net_tokens < -50:
|
||||
patterns.append("High token spend — may be in experimentation phase.")
|
||||
|
||||
return patterns
|
||||
|
||||
|
||||
def generate_scorecard(
|
||||
agent_id: str,
|
||||
period_type: PeriodType = PeriodType.daily,
|
||||
reference_date: datetime | None = None,
|
||||
) -> ScorecardSummary | None:
|
||||
"""Generate a scorecard for a single agent.
|
||||
|
||||
Args:
|
||||
agent_id: The agent to generate scorecard for
|
||||
period_type: daily or weekly
|
||||
reference_date: The date to calculate from (defaults to now)
|
||||
|
||||
Returns:
|
||||
ScorecardSummary or None if agent has no activity
|
||||
"""
|
||||
start, end = _get_period_bounds(period_type, reference_date)
|
||||
|
||||
# Collect events
|
||||
events = _collect_events_for_period(start, end, agent_id)
|
||||
|
||||
# Aggregate metrics
|
||||
all_metrics = _aggregate_metrics(events)
|
||||
|
||||
# Get metrics for this specific agent
|
||||
if agent_id not in all_metrics:
|
||||
# Create empty metrics - still generate a scorecard
|
||||
metrics = AgentMetrics(agent_id=agent_id)
|
||||
else:
|
||||
metrics = all_metrics[agent_id]
|
||||
|
||||
# Augment with token data from ledger
|
||||
tokens_earned, tokens_spent = _query_token_transactions(agent_id, start, end)
|
||||
metrics.tokens_earned = max(metrics.tokens_earned, tokens_earned)
|
||||
metrics.tokens_spent = max(metrics.tokens_spent, tokens_spent)
|
||||
|
||||
# Generate narrative and patterns
|
||||
narrative = _generate_narrative_bullets(metrics, period_type)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
return ScorecardSummary(
|
||||
agent_id=agent_id,
|
||||
period_type=period_type,
|
||||
period_start=start,
|
||||
period_end=end,
|
||||
metrics=metrics,
|
||||
narrative_bullets=narrative,
|
||||
patterns=patterns,
|
||||
)
|
||||
|
||||
|
||||
def generate_all_scorecards(
|
||||
period_type: PeriodType = PeriodType.daily,
|
||||
reference_date: datetime | None = None,
|
||||
) -> list[ScorecardSummary]:
|
||||
"""Generate scorecards for all tracked agents.
|
||||
|
||||
Args:
|
||||
period_type: daily or weekly
|
||||
reference_date: The date to calculate from (defaults to now)
|
||||
|
||||
Returns:
|
||||
List of ScorecardSummary for all agents with activity
|
||||
"""
|
||||
start, end = _get_period_bounds(period_type, reference_date)
|
||||
|
||||
# Collect all events
|
||||
events = _collect_events_for_period(start, end)
|
||||
|
||||
# Aggregate metrics for all agents
|
||||
all_metrics = _aggregate_metrics(events)
|
||||
|
||||
# Include tracked agents even if no activity
|
||||
for agent_id in TRACKED_AGENTS:
|
||||
if agent_id not in all_metrics:
|
||||
all_metrics[agent_id] = AgentMetrics(agent_id=agent_id)
|
||||
|
||||
# Generate scorecards
|
||||
scorecards: list[ScorecardSummary] = []
|
||||
|
||||
for agent_id, metrics in all_metrics.items():
|
||||
# Augment with token data
|
||||
tokens_earned, tokens_spent = _query_token_transactions(agent_id, start, end)
|
||||
metrics.tokens_earned = max(metrics.tokens_earned, tokens_earned)
|
||||
metrics.tokens_spent = max(metrics.tokens_spent, tokens_spent)
|
||||
|
||||
narrative = _generate_narrative_bullets(metrics, period_type)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
scorecard = ScorecardSummary(
|
||||
agent_id=agent_id,
|
||||
period_type=period_type,
|
||||
period_start=start,
|
||||
period_end=end,
|
||||
metrics=metrics,
|
||||
narrative_bullets=narrative,
|
||||
patterns=patterns,
|
||||
)
|
||||
scorecards.append(scorecard)
|
||||
|
||||
# Sort by agent_id for consistent ordering
|
||||
scorecards.sort(key=lambda s: s.agent_id)
|
||||
|
||||
return scorecards
|
||||
|
||||
|
||||
def get_tracked_agents() -> list[str]:
|
||||
"""Return the list of tracked agent IDs."""
|
||||
return sorted(TRACKED_AGENTS)
|
||||
@@ -51,7 +51,6 @@
|
||||
<a href="/thinking" class="mc-test-link mc-link-thinking">THINKING</a>
|
||||
<a href="/swarm/mission-control" class="mc-test-link">MISSION CTRL</a>
|
||||
<a href="/swarm/live" class="mc-test-link">SWARM</a>
|
||||
<a href="/scorecards" class="mc-test-link">SCORECARDS</a>
|
||||
<a href="/bugs" class="mc-test-link mc-link-bugs">BUGS</a>
|
||||
</div>
|
||||
</div>
|
||||
@@ -124,7 +123,6 @@
|
||||
<a href="/thinking" class="mc-mobile-link">THINKING</a>
|
||||
<a href="/swarm/mission-control" class="mc-mobile-link">MISSION CONTROL</a>
|
||||
<a href="/swarm/live" class="mc-mobile-link">SWARM</a>
|
||||
<a href="/scorecards" class="mc-mobile-link">SCORECARDS</a>
|
||||
<a href="/bugs" class="mc-mobile-link">BUGS</a>
|
||||
<div class="mc-mobile-section-label">INTELLIGENCE</div>
|
||||
<a href="/spark/ui" class="mc-mobile-link">SPARK</a>
|
||||
|
||||
@@ -1,80 +0,0 @@
|
||||
{% from "macros.html" import panel %}
|
||||
|
||||
<div class="quests-summary mb-4">
|
||||
<div class="row">
|
||||
<div class="col-md-4">
|
||||
<div class="stat-card">
|
||||
<div class="stat-value">{{ total_tokens }}</div>
|
||||
<div class="stat-label">Tokens Earned</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="col-md-4">
|
||||
<div class="stat-card">
|
||||
<div class="stat-value">{{ completed_count }}</div>
|
||||
<div class="stat-label">Quests Completed</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="col-md-4">
|
||||
<div class="stat-card">
|
||||
<div class="stat-value">{{ quests|selectattr('enabled', 'equalto', true)|list|length }}</div>
|
||||
<div class="stat-label">Active Quests</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="quests-list">
|
||||
{% for quest in quests %}
|
||||
{% if quest.enabled %}
|
||||
<div class="quest-card quest-status-{{ quest.status }}">
|
||||
<div class="quest-header">
|
||||
<h5 class="quest-name">{{ quest.name }}</h5>
|
||||
<span class="quest-reward">+{{ quest.reward_tokens }} ⚡</span>
|
||||
</div>
|
||||
<p class="quest-description">{{ quest.description }}</p>
|
||||
|
||||
<div class="quest-progress">
|
||||
{% if quest.status == 'completed' %}
|
||||
<div class="progress">
|
||||
<div class="progress-bar bg-success" style="width: 100%"></div>
|
||||
</div>
|
||||
<span class="quest-status-badge completed">Completed</span>
|
||||
{% elif quest.status == 'claimed' %}
|
||||
<div class="progress">
|
||||
<div class="progress-bar bg-success" style="width: 100%"></div>
|
||||
</div>
|
||||
<span class="quest-status-badge claimed">Reward Claimed</span>
|
||||
{% elif quest.on_cooldown %}
|
||||
<div class="progress">
|
||||
<div class="progress-bar bg-secondary" style="width: 100%"></div>
|
||||
</div>
|
||||
<span class="quest-status-badge cooldown">
|
||||
Cooldown: {{ quest.cooldown_hours_remaining }}h remaining
|
||||
</span>
|
||||
{% else %}
|
||||
<div class="progress">
|
||||
<div class="progress-bar" style="width: {{ (quest.current_value / quest.target_value * 100)|int }}%"></div>
|
||||
</div>
|
||||
<span class="quest-progress-text">{{ quest.current_value }} / {{ quest.target_value }}</span>
|
||||
{% endif %}
|
||||
</div>
|
||||
|
||||
<div class="quest-meta">
|
||||
<span class="quest-type">{{ quest.type }}</span>
|
||||
{% if quest.repeatable %}
|
||||
<span class="quest-repeatable">↻ Repeatable</span>
|
||||
{% endif %}
|
||||
{% if quest.completion_count > 0 %}
|
||||
<span class="quest-completions">Completed {{ quest.completion_count }} time{% if quest.completion_count != 1 %}s{% endif %}</span>
|
||||
{% endif %}
|
||||
</div>
|
||||
</div>
|
||||
{% endif %}
|
||||
{% endfor %}
|
||||
</div>
|
||||
|
||||
{% if not quests|selectattr('enabled', 'equalto', true)|list|length %}
|
||||
<div class="alert alert-info">
|
||||
No active quests available. Check back later or contact an administrator.
|
||||
</div>
|
||||
{% endif %}
|
||||
@@ -1,50 +0,0 @@
|
||||
{% extends "base.html" %}
|
||||
|
||||
{% block title %}Quests — Mission Control{% endblock %}
|
||||
|
||||
{% block content %}
|
||||
<div class="container-fluid">
|
||||
<div class="row">
|
||||
<div class="col-12">
|
||||
<h1 class="mc-title">Token Quests</h1>
|
||||
<p class="mc-subtitle">Complete quests to earn bonus tokens</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="row mt-4">
|
||||
<div class="col-md-8">
|
||||
<div id="quests-panel" hx-get="/quests/panel/{{ agent_id }}" hx-trigger="load, every 30s">
|
||||
<div class="mc-loading">Loading quests...</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="col-md-4">
|
||||
<div class="card mc-panel">
|
||||
<div class="card-header">
|
||||
<h5 class="mb-0">Leaderboard</h5>
|
||||
</div>
|
||||
<div class="card-body">
|
||||
<div id="leaderboard" hx-get="/quests/api/leaderboard" hx-trigger="load, every 60s">
|
||||
<div class="mc-loading">Loading leaderboard...</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="card mc-panel mt-4">
|
||||
<div class="card-header">
|
||||
<h5 class="mb-0">About Quests</h5>
|
||||
</div>
|
||||
<div class="card-body">
|
||||
<p class="mb-2">Quests are special objectives that reward tokens upon completion.</p>
|
||||
<ul class="mc-list mb-0">
|
||||
<li>Complete Daily Run sessions</li>
|
||||
<li>Close flaky-test issues</li>
|
||||
<li>Reduce P1 issue backlog</li>
|
||||
<li>Improve documentation</li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{% endblock %}
|
||||
@@ -1,113 +0,0 @@
|
||||
{% extends "base.html" %}
|
||||
|
||||
{% block title %}Agent Scorecards - Timmy Time{% endblock %}
|
||||
|
||||
{% block extra_styles %}{% endblock %}
|
||||
|
||||
{% block content %}
|
||||
<div class="container-fluid py-4">
|
||||
<!-- Header -->
|
||||
<div class="d-flex justify-content-between align-items-center mb-4">
|
||||
<div>
|
||||
<h1 class="h3 mb-0">AGENT SCORECARDS</h1>
|
||||
<p class="text-muted small mb-0">Track agent performance across issues, PRs, tests, and tokens</p>
|
||||
</div>
|
||||
<div class="d-flex gap-2">
|
||||
<select id="period-select" class="form-select form-select-sm" style="width: auto;">
|
||||
<option value="daily" selected>Daily</option>
|
||||
<option value="weekly">Weekly</option>
|
||||
</select>
|
||||
<button class="btn btn-sm btn-primary" onclick="refreshScorecards()">
|
||||
<span>Refresh</span>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Scorecards Grid -->
|
||||
<div id="scorecards-container"
|
||||
hx-get="/scorecards/all/panels?period=daily"
|
||||
hx-trigger="load"
|
||||
hx-swap="innerHTML">
|
||||
<div class="text-center py-5">
|
||||
<div class="spinner-border text-secondary" role="status">
|
||||
<span class="visually-hidden">Loading...</span>
|
||||
</div>
|
||||
<p class="text-muted mt-2">Loading scorecards...</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- API Reference -->
|
||||
<div class="mt-5 pt-4 border-top">
|
||||
<h5 class="text-muted">API Reference</h5>
|
||||
<div class="row g-3">
|
||||
<div class="col-md-6">
|
||||
<div class="card mc-panel">
|
||||
<div class="card-body">
|
||||
<h6 class="card-title">List Tracked Agents</h6>
|
||||
<code>GET /scorecards/api/agents</code>
|
||||
<p class="small text-muted mt-2">Returns all tracked agent IDs</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="col-md-6">
|
||||
<div class="card mc-panel">
|
||||
<div class="card-body">
|
||||
<h6 class="card-title">Get All Scorecards</h6>
|
||||
<code>GET /scorecards/api?period=daily|weekly</code>
|
||||
<p class="small text-muted mt-2">Returns scorecards for all agents</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="col-md-6">
|
||||
<div class="card mc-panel">
|
||||
<div class="card-body">
|
||||
<h6 class="card-title">Get Agent Scorecard</h6>
|
||||
<code>GET /scorecards/api/{agent_id}?period=daily|weekly</code>
|
||||
<p class="small text-muted mt-2">Returns scorecard for a specific agent</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="col-md-6">
|
||||
<div class="card mc-panel">
|
||||
<div class="card-body">
|
||||
<h6 class="card-title">HTML Panel (HTMX)</h6>
|
||||
<code>GET /scorecards/panel/{agent_id}?period=daily|weekly</code>
|
||||
<p class="small text-muted mt-2">Returns HTML panel for embedding</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<script>
|
||||
// Period selector change handler
|
||||
document.getElementById('period-select').addEventListener('change', function() {
|
||||
refreshScorecards();
|
||||
});
|
||||
|
||||
function refreshScorecards() {
|
||||
var period = document.getElementById('period-select').value;
|
||||
var container = document.getElementById('scorecards-container');
|
||||
|
||||
// Show loading state
|
||||
container.innerHTML = `
|
||||
<div class="text-center py-5">
|
||||
<div class="spinner-border text-secondary" role="status">
|
||||
<span class="visually-hidden">Loading...</span>
|
||||
</div>
|
||||
<p class="text-muted mt-2">Loading scorecards...</p>
|
||||
</div>
|
||||
`;
|
||||
|
||||
// Trigger HTMX request
|
||||
htmx.ajax('GET', '/scorecards/all/panels?period=' + period, {
|
||||
target: '#scorecards-container',
|
||||
swap: 'innerHTML'
|
||||
});
|
||||
}
|
||||
|
||||
// Auto-refresh every 5 minutes
|
||||
setInterval(refreshScorecards, 300000);
|
||||
</script>
|
||||
{% endblock %}
|
||||
@@ -1,581 +0,0 @@
|
||||
"""Token Quest System for agent rewards.
|
||||
|
||||
Provides quest definitions, progress tracking, completion detection,
|
||||
and token awards for agent accomplishments.
|
||||
|
||||
Quests are defined in config/quests.yaml and loaded at runtime.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
import time
|
||||
from dataclasses import dataclass, field
|
||||
from datetime import UTC, datetime, timedelta
|
||||
from enum import StrEnum
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
import yaml
|
||||
|
||||
from config import settings
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Path to quest configuration
|
||||
QUEST_CONFIG_PATH = Path(settings.repo_root) / "config" / "quests.yaml"
|
||||
|
||||
|
||||
class QuestType(StrEnum):
|
||||
"""Types of quests supported by the system."""
|
||||
|
||||
ISSUE_COUNT = "issue_count"
|
||||
ISSUE_REDUCE = "issue_reduce"
|
||||
DOCS_UPDATE = "docs_update"
|
||||
TEST_IMPROVE = "test_improve"
|
||||
DAILY_RUN = "daily_run"
|
||||
CUSTOM = "custom"
|
||||
|
||||
|
||||
class QuestStatus(StrEnum):
|
||||
"""Status of a quest for an agent."""
|
||||
|
||||
NOT_STARTED = "not_started"
|
||||
IN_PROGRESS = "in_progress"
|
||||
COMPLETED = "completed"
|
||||
CLAIMED = "claimed"
|
||||
EXPIRED = "expired"
|
||||
|
||||
|
||||
@dataclass
|
||||
class QuestDefinition:
|
||||
"""Definition of a quest from configuration."""
|
||||
|
||||
id: str
|
||||
name: str
|
||||
description: str
|
||||
reward_tokens: int
|
||||
quest_type: QuestType
|
||||
enabled: bool
|
||||
repeatable: bool
|
||||
cooldown_hours: int
|
||||
criteria: dict[str, Any]
|
||||
notification_message: str
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, data: dict[str, Any]) -> QuestDefinition:
|
||||
"""Create a QuestDefinition from a dictionary."""
|
||||
return cls(
|
||||
id=data["id"],
|
||||
name=data.get("name", "Unnamed Quest"),
|
||||
description=data.get("description", ""),
|
||||
reward_tokens=data.get("reward_tokens", 0),
|
||||
quest_type=QuestType(data.get("type", "custom")),
|
||||
enabled=data.get("enabled", True),
|
||||
repeatable=data.get("repeatable", False),
|
||||
cooldown_hours=data.get("cooldown_hours", 0),
|
||||
criteria=data.get("criteria", {}),
|
||||
notification_message=data.get(
|
||||
"notification_message", "Quest Complete! You earned {tokens} tokens."
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
@dataclass
|
||||
class QuestProgress:
|
||||
"""Progress of a quest for a specific agent."""
|
||||
|
||||
quest_id: str
|
||||
agent_id: str
|
||||
status: QuestStatus
|
||||
current_value: int = 0
|
||||
target_value: int = 0
|
||||
started_at: str = ""
|
||||
completed_at: str = ""
|
||||
claimed_at: str = ""
|
||||
completion_count: int = 0
|
||||
last_completed_at: str = ""
|
||||
metadata: dict[str, Any] = field(default_factory=dict)
|
||||
|
||||
def to_dict(self) -> dict[str, Any]:
|
||||
"""Convert to dictionary for serialization."""
|
||||
return {
|
||||
"quest_id": self.quest_id,
|
||||
"agent_id": self.agent_id,
|
||||
"status": self.status.value,
|
||||
"current_value": self.current_value,
|
||||
"target_value": self.target_value,
|
||||
"started_at": self.started_at,
|
||||
"completed_at": self.completed_at,
|
||||
"claimed_at": self.claimed_at,
|
||||
"completion_count": self.completion_count,
|
||||
"last_completed_at": self.last_completed_at,
|
||||
"metadata": self.metadata,
|
||||
}
|
||||
|
||||
|
||||
# In-memory storage for quest progress
|
||||
_quest_progress: dict[str, QuestProgress] = {}
|
||||
_quest_definitions: dict[str, QuestDefinition] = {}
|
||||
_quest_settings: dict[str, Any] = {}
|
||||
|
||||
|
||||
def _get_progress_key(quest_id: str, agent_id: str) -> str:
|
||||
"""Generate a unique key for quest progress."""
|
||||
return f"{agent_id}:{quest_id}"
|
||||
|
||||
|
||||
def load_quest_config() -> tuple[dict[str, QuestDefinition], dict[str, Any]]:
|
||||
"""Load quest definitions from quests.yaml.
|
||||
|
||||
Returns:
|
||||
Tuple of (quest definitions dict, settings dict)
|
||||
"""
|
||||
global _quest_definitions, _quest_settings
|
||||
|
||||
if not QUEST_CONFIG_PATH.exists():
|
||||
logger.warning("Quest config not found at %s", QUEST_CONFIG_PATH)
|
||||
return {}, {}
|
||||
|
||||
try:
|
||||
raw = QUEST_CONFIG_PATH.read_text()
|
||||
config = yaml.safe_load(raw)
|
||||
|
||||
if not isinstance(config, dict):
|
||||
logger.warning("Invalid quest config format")
|
||||
return {}, {}
|
||||
|
||||
# Load quest definitions
|
||||
quests_data = config.get("quests", {})
|
||||
definitions = {}
|
||||
for quest_id, quest_data in quests_data.items():
|
||||
quest_data["id"] = quest_id
|
||||
try:
|
||||
definition = QuestDefinition.from_dict(quest_data)
|
||||
definitions[quest_id] = definition
|
||||
except (ValueError, KeyError) as exc:
|
||||
logger.warning("Failed to load quest %s: %s", quest_id, exc)
|
||||
|
||||
# Load settings
|
||||
_quest_settings = config.get("settings", {})
|
||||
_quest_definitions = definitions
|
||||
|
||||
logger.debug("Loaded %d quest definitions", len(definitions))
|
||||
return definitions, _quest_settings
|
||||
|
||||
except (OSError, yaml.YAMLError) as exc:
|
||||
logger.warning("Failed to load quest config: %s", exc)
|
||||
return {}, {}
|
||||
|
||||
|
||||
def get_quest_definitions() -> dict[str, QuestDefinition]:
|
||||
"""Get all quest definitions, loading if necessary."""
|
||||
global _quest_definitions
|
||||
if not _quest_definitions:
|
||||
_quest_definitions, _ = load_quest_config()
|
||||
return _quest_definitions
|
||||
|
||||
|
||||
def get_quest_definition(quest_id: str) -> QuestDefinition | None:
|
||||
"""Get a specific quest definition by ID."""
|
||||
definitions = get_quest_definitions()
|
||||
return definitions.get(quest_id)
|
||||
|
||||
|
||||
def get_active_quests() -> list[QuestDefinition]:
|
||||
"""Get all enabled quest definitions."""
|
||||
definitions = get_quest_definitions()
|
||||
return [q for q in definitions.values() if q.enabled]
|
||||
|
||||
|
||||
def get_quest_progress(quest_id: str, agent_id: str) -> QuestProgress | None:
|
||||
"""Get progress for a specific quest and agent."""
|
||||
key = _get_progress_key(quest_id, agent_id)
|
||||
return _quest_progress.get(key)
|
||||
|
||||
|
||||
def get_or_create_progress(quest_id: str, agent_id: str) -> QuestProgress:
|
||||
"""Get existing progress or create new for quest/agent."""
|
||||
key = _get_progress_key(quest_id, agent_id)
|
||||
if key not in _quest_progress:
|
||||
quest = get_quest_definition(quest_id)
|
||||
if not quest:
|
||||
raise ValueError(f"Quest {quest_id} not found")
|
||||
|
||||
target = _get_target_value(quest)
|
||||
_quest_progress[key] = QuestProgress(
|
||||
quest_id=quest_id,
|
||||
agent_id=agent_id,
|
||||
status=QuestStatus.NOT_STARTED,
|
||||
current_value=0,
|
||||
target_value=target,
|
||||
started_at=datetime.now(UTC).isoformat(),
|
||||
)
|
||||
return _quest_progress[key]
|
||||
|
||||
|
||||
def _get_target_value(quest: QuestDefinition) -> int:
|
||||
"""Extract target value from quest criteria."""
|
||||
criteria = quest.criteria
|
||||
if quest.quest_type == QuestType.ISSUE_COUNT:
|
||||
return criteria.get("target_count", 1)
|
||||
elif quest.quest_type == QuestType.ISSUE_REDUCE:
|
||||
return criteria.get("target_reduction", 1)
|
||||
elif quest.quest_type == QuestType.DAILY_RUN:
|
||||
return criteria.get("min_sessions", 1)
|
||||
elif quest.quest_type == QuestType.DOCS_UPDATE:
|
||||
return criteria.get("min_files_changed", 1)
|
||||
elif quest.quest_type == QuestType.TEST_IMPROVE:
|
||||
return criteria.get("min_new_tests", 1)
|
||||
return 1
|
||||
|
||||
|
||||
def update_quest_progress(
|
||||
quest_id: str,
|
||||
agent_id: str,
|
||||
current_value: int,
|
||||
metadata: dict[str, Any] | None = None,
|
||||
) -> QuestProgress:
|
||||
"""Update progress for a quest."""
|
||||
progress = get_or_create_progress(quest_id, agent_id)
|
||||
progress.current_value = current_value
|
||||
|
||||
if metadata:
|
||||
progress.metadata.update(metadata)
|
||||
|
||||
# Check if quest is now complete
|
||||
if progress.current_value >= progress.target_value:
|
||||
if progress.status not in (QuestStatus.COMPLETED, QuestStatus.CLAIMED):
|
||||
progress.status = QuestStatus.COMPLETED
|
||||
progress.completed_at = datetime.now(UTC).isoformat()
|
||||
logger.info("Quest %s completed for agent %s", quest_id, agent_id)
|
||||
|
||||
return progress
|
||||
|
||||
|
||||
def _is_on_cooldown(progress: QuestProgress, quest: QuestDefinition) -> bool:
|
||||
"""Check if a repeatable quest is on cooldown."""
|
||||
if not quest.repeatable or not progress.last_completed_at:
|
||||
return False
|
||||
|
||||
if quest.cooldown_hours <= 0:
|
||||
return False
|
||||
|
||||
try:
|
||||
last_completed = datetime.fromisoformat(progress.last_completed_at)
|
||||
cooldown_end = last_completed + timedelta(hours=quest.cooldown_hours)
|
||||
return datetime.now(UTC) < cooldown_end
|
||||
except (ValueError, TypeError):
|
||||
return False
|
||||
|
||||
|
||||
def claim_quest_reward(quest_id: str, agent_id: str) -> dict[str, Any] | None:
|
||||
"""Claim the token reward for a completed quest.
|
||||
|
||||
Returns:
|
||||
Reward info dict if successful, None if not claimable
|
||||
"""
|
||||
progress = get_quest_progress(quest_id, agent_id)
|
||||
if not progress:
|
||||
return None
|
||||
|
||||
quest = get_quest_definition(quest_id)
|
||||
if not quest:
|
||||
return None
|
||||
|
||||
# Check if quest is completed but not yet claimed
|
||||
if progress.status != QuestStatus.COMPLETED:
|
||||
return None
|
||||
|
||||
# Check cooldown for repeatable quests
|
||||
if _is_on_cooldown(progress, quest):
|
||||
return None
|
||||
|
||||
try:
|
||||
# Award tokens via ledger
|
||||
from lightning.ledger import create_invoice_entry, mark_settled
|
||||
|
||||
# Create a mock invoice for the reward
|
||||
invoice_entry = create_invoice_entry(
|
||||
payment_hash=f"quest_{quest_id}_{agent_id}_{int(time.time())}",
|
||||
amount_sats=quest.reward_tokens,
|
||||
memo=f"Quest reward: {quest.name}",
|
||||
source="quest_reward",
|
||||
agent_id=agent_id,
|
||||
)
|
||||
|
||||
# Mark as settled immediately (quest rewards are auto-settled)
|
||||
mark_settled(invoice_entry.payment_hash, preimage=f"quest_{quest_id}")
|
||||
|
||||
# Update progress
|
||||
progress.status = QuestStatus.CLAIMED
|
||||
progress.claimed_at = datetime.now(UTC).isoformat()
|
||||
progress.completion_count += 1
|
||||
progress.last_completed_at = progress.claimed_at
|
||||
|
||||
# Reset for repeatable quests
|
||||
if quest.repeatable:
|
||||
progress.status = QuestStatus.NOT_STARTED
|
||||
progress.current_value = 0
|
||||
progress.completed_at = ""
|
||||
progress.claimed_at = ""
|
||||
|
||||
notification = quest.notification_message.format(tokens=quest.reward_tokens)
|
||||
|
||||
return {
|
||||
"quest_id": quest_id,
|
||||
"agent_id": agent_id,
|
||||
"tokens_awarded": quest.reward_tokens,
|
||||
"notification": notification,
|
||||
"completion_count": progress.completion_count,
|
||||
}
|
||||
|
||||
except Exception as exc:
|
||||
logger.error("Failed to award quest reward: %s", exc)
|
||||
return None
|
||||
|
||||
|
||||
def check_issue_count_quest(
|
||||
quest: QuestDefinition,
|
||||
agent_id: str,
|
||||
closed_issues: list[dict],
|
||||
) -> QuestProgress | None:
|
||||
"""Check progress for issue_count type quest."""
|
||||
criteria = quest.criteria
|
||||
target_labels = set(criteria.get("issue_labels", []))
|
||||
# target_count is available in criteria but not used directly here
|
||||
|
||||
# Count matching issues
|
||||
matching_count = 0
|
||||
for issue in closed_issues:
|
||||
issue_labels = {label.get("name", "") for label in issue.get("labels", [])}
|
||||
if target_labels.issubset(issue_labels) or (not target_labels and issue_labels):
|
||||
matching_count += 1
|
||||
|
||||
progress = update_quest_progress(
|
||||
quest.id, agent_id, matching_count, {"matching_issues": matching_count}
|
||||
)
|
||||
|
||||
return progress
|
||||
|
||||
|
||||
def check_issue_reduce_quest(
|
||||
quest: QuestDefinition,
|
||||
agent_id: str,
|
||||
previous_count: int,
|
||||
current_count: int,
|
||||
) -> QuestProgress | None:
|
||||
"""Check progress for issue_reduce type quest."""
|
||||
# target_reduction available in quest.criteria but we track actual reduction
|
||||
reduction = max(0, previous_count - current_count)
|
||||
|
||||
progress = update_quest_progress(quest.id, agent_id, reduction, {"reduction": reduction})
|
||||
|
||||
return progress
|
||||
|
||||
|
||||
def check_daily_run_quest(
|
||||
quest: QuestDefinition,
|
||||
agent_id: str,
|
||||
sessions_completed: int,
|
||||
) -> QuestProgress | None:
|
||||
"""Check progress for daily_run type quest."""
|
||||
# min_sessions available in quest.criteria but we track actual sessions
|
||||
progress = update_quest_progress(
|
||||
quest.id, agent_id, sessions_completed, {"sessions": sessions_completed}
|
||||
)
|
||||
|
||||
return progress
|
||||
|
||||
|
||||
def evaluate_quest_progress(
|
||||
quest_id: str,
|
||||
agent_id: str,
|
||||
context: dict[str, Any],
|
||||
) -> QuestProgress | None:
|
||||
"""Evaluate quest progress based on quest type and context.
|
||||
|
||||
Args:
|
||||
quest_id: The quest to evaluate
|
||||
agent_id: The agent to evaluate for
|
||||
context: Context data for evaluation (issues, metrics, etc.)
|
||||
|
||||
Returns:
|
||||
Updated QuestProgress or None if evaluation failed
|
||||
"""
|
||||
quest = get_quest_definition(quest_id)
|
||||
if not quest or not quest.enabled:
|
||||
return None
|
||||
|
||||
progress = get_quest_progress(quest_id, agent_id)
|
||||
|
||||
# Check cooldown for repeatable quests
|
||||
if progress and _is_on_cooldown(progress, quest):
|
||||
return progress
|
||||
|
||||
try:
|
||||
if quest.quest_type == QuestType.ISSUE_COUNT:
|
||||
closed_issues = context.get("closed_issues", [])
|
||||
return check_issue_count_quest(quest, agent_id, closed_issues)
|
||||
|
||||
elif quest.quest_type == QuestType.ISSUE_REDUCE:
|
||||
prev_count = context.get("previous_issue_count", 0)
|
||||
curr_count = context.get("current_issue_count", 0)
|
||||
return check_issue_reduce_quest(quest, agent_id, prev_count, curr_count)
|
||||
|
||||
elif quest.quest_type == QuestType.DAILY_RUN:
|
||||
sessions = context.get("sessions_completed", 0)
|
||||
return check_daily_run_quest(quest, agent_id, sessions)
|
||||
|
||||
elif quest.quest_type == QuestType.CUSTOM:
|
||||
# Custom quests require manual completion
|
||||
return progress
|
||||
|
||||
else:
|
||||
logger.debug("Quest type %s not yet implemented", quest.quest_type)
|
||||
return progress
|
||||
|
||||
except Exception as exc:
|
||||
logger.warning("Quest evaluation failed for %s: %s", quest_id, exc)
|
||||
return progress
|
||||
|
||||
|
||||
def auto_evaluate_all_quests(agent_id: str, context: dict[str, Any]) -> list[dict]:
|
||||
"""Evaluate all active quests for an agent and award rewards.
|
||||
|
||||
Returns:
|
||||
List of reward info for newly completed quests
|
||||
"""
|
||||
rewards = []
|
||||
active_quests = get_active_quests()
|
||||
|
||||
for quest in active_quests:
|
||||
progress = evaluate_quest_progress(quest.id, agent_id, context)
|
||||
if progress and progress.status == QuestStatus.COMPLETED:
|
||||
# Auto-claim the reward
|
||||
reward = claim_quest_reward(quest.id, agent_id)
|
||||
if reward:
|
||||
rewards.append(reward)
|
||||
|
||||
return rewards
|
||||
|
||||
|
||||
def get_agent_quests_status(agent_id: str) -> dict[str, Any]:
|
||||
"""Get complete quest status for an agent."""
|
||||
definitions = get_quest_definitions()
|
||||
quests_status = []
|
||||
total_rewards = 0
|
||||
completed_count = 0
|
||||
|
||||
for quest_id, quest in definitions.items():
|
||||
progress = get_quest_progress(quest_id, agent_id)
|
||||
if not progress:
|
||||
progress = get_or_create_progress(quest_id, agent_id)
|
||||
|
||||
is_on_cooldown = _is_on_cooldown(progress, quest) if quest.repeatable else False
|
||||
|
||||
quest_info = {
|
||||
"quest_id": quest_id,
|
||||
"name": quest.name,
|
||||
"description": quest.description,
|
||||
"reward_tokens": quest.reward_tokens,
|
||||
"type": quest.quest_type.value,
|
||||
"enabled": quest.enabled,
|
||||
"repeatable": quest.repeatable,
|
||||
"status": progress.status.value,
|
||||
"current_value": progress.current_value,
|
||||
"target_value": progress.target_value,
|
||||
"completion_count": progress.completion_count,
|
||||
"on_cooldown": is_on_cooldown,
|
||||
"cooldown_hours_remaining": 0,
|
||||
}
|
||||
|
||||
if is_on_cooldown and progress.last_completed_at:
|
||||
try:
|
||||
last = datetime.fromisoformat(progress.last_completed_at)
|
||||
cooldown_end = last + timedelta(hours=quest.cooldown_hours)
|
||||
hours_remaining = (cooldown_end - datetime.now(UTC)).total_seconds() / 3600
|
||||
quest_info["cooldown_hours_remaining"] = round(max(0, hours_remaining), 1)
|
||||
except (ValueError, TypeError):
|
||||
pass
|
||||
|
||||
quests_status.append(quest_info)
|
||||
total_rewards += progress.completion_count * quest.reward_tokens
|
||||
completed_count += progress.completion_count
|
||||
|
||||
return {
|
||||
"agent_id": agent_id,
|
||||
"quests": quests_status,
|
||||
"total_tokens_earned": total_rewards,
|
||||
"total_quests_completed": completed_count,
|
||||
"active_quests_count": len([q for q in quests_status if q["enabled"]]),
|
||||
}
|
||||
|
||||
|
||||
def reset_quest_progress(quest_id: str | None = None, agent_id: str | None = None) -> int:
|
||||
"""Reset quest progress. Useful for testing.
|
||||
|
||||
Args:
|
||||
quest_id: Specific quest to reset, or None for all
|
||||
agent_id: Specific agent to reset, or None for all
|
||||
|
||||
Returns:
|
||||
Number of progress entries reset
|
||||
"""
|
||||
global _quest_progress
|
||||
count = 0
|
||||
|
||||
keys_to_reset = []
|
||||
for key, _progress in _quest_progress.items():
|
||||
key_agent, key_quest = key.split(":", 1)
|
||||
if (quest_id is None or key_quest == quest_id) and (
|
||||
agent_id is None or key_agent == agent_id
|
||||
):
|
||||
keys_to_reset.append(key)
|
||||
|
||||
for key in keys_to_reset:
|
||||
del _quest_progress[key]
|
||||
count += 1
|
||||
|
||||
return count
|
||||
|
||||
|
||||
def get_quest_leaderboard() -> list[dict[str, Any]]:
|
||||
"""Get a leaderboard of agents by quest completion."""
|
||||
agent_stats: dict[str, dict[str, Any]] = {}
|
||||
|
||||
for _key, progress in _quest_progress.items():
|
||||
agent_id = progress.agent_id
|
||||
if agent_id not in agent_stats:
|
||||
agent_stats[agent_id] = {
|
||||
"agent_id": agent_id,
|
||||
"total_completions": 0,
|
||||
"total_tokens": 0,
|
||||
"quests_completed": set(),
|
||||
}
|
||||
|
||||
quest = get_quest_definition(progress.quest_id)
|
||||
if quest:
|
||||
agent_stats[agent_id]["total_completions"] += progress.completion_count
|
||||
agent_stats[agent_id]["total_tokens"] += progress.completion_count * quest.reward_tokens
|
||||
if progress.completion_count > 0:
|
||||
agent_stats[agent_id]["quests_completed"].add(quest.id)
|
||||
|
||||
leaderboard = []
|
||||
for stats in agent_stats.values():
|
||||
leaderboard.append(
|
||||
{
|
||||
"agent_id": stats["agent_id"],
|
||||
"total_completions": stats["total_completions"],
|
||||
"total_tokens": stats["total_tokens"],
|
||||
"unique_quests_completed": len(stats["quests_completed"]),
|
||||
}
|
||||
)
|
||||
|
||||
# Sort by total tokens (descending)
|
||||
leaderboard.sort(key=lambda x: x["total_tokens"], reverse=True)
|
||||
return leaderboard
|
||||
|
||||
|
||||
# Initialize on module load
|
||||
load_quest_config()
|
||||
@@ -1,680 +0,0 @@
|
||||
"""Tests for agent scorecard functionality."""
|
||||
|
||||
from datetime import UTC, datetime, timedelta
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
from dashboard.services.scorecard_service import (
|
||||
AgentMetrics,
|
||||
PeriodType,
|
||||
ScorecardSummary,
|
||||
_aggregate_metrics,
|
||||
_detect_patterns,
|
||||
_extract_actor_from_event,
|
||||
_generate_narrative_bullets,
|
||||
_get_period_bounds,
|
||||
_is_tracked_agent,
|
||||
_query_token_transactions,
|
||||
generate_all_scorecards,
|
||||
generate_scorecard,
|
||||
get_tracked_agents,
|
||||
)
|
||||
from infrastructure.events.bus import Event
|
||||
|
||||
|
||||
class TestPeriodBounds:
|
||||
"""Test period boundary calculations."""
|
||||
|
||||
def test_daily_period_bounds(self):
|
||||
"""Test daily period returns correct 24-hour window."""
|
||||
reference = datetime(2026, 3, 21, 12, 30, 45, tzinfo=UTC)
|
||||
start, end = _get_period_bounds(PeriodType.daily, reference)
|
||||
|
||||
assert end == datetime(2026, 3, 21, 0, 0, 0, tzinfo=UTC)
|
||||
assert start == datetime(2026, 3, 20, 0, 0, 0, tzinfo=UTC)
|
||||
assert (end - start) == timedelta(days=1)
|
||||
|
||||
def test_weekly_period_bounds(self):
|
||||
"""Test weekly period returns correct 7-day window."""
|
||||
reference = datetime(2026, 3, 21, 12, 30, 45, tzinfo=UTC)
|
||||
start, end = _get_period_bounds(PeriodType.weekly, reference)
|
||||
|
||||
assert end == datetime(2026, 3, 21, 0, 0, 0, tzinfo=UTC)
|
||||
assert start == datetime(2026, 3, 14, 0, 0, 0, tzinfo=UTC)
|
||||
assert (end - start) == timedelta(days=7)
|
||||
|
||||
def test_default_reference_date(self):
|
||||
"""Test default reference date uses current time."""
|
||||
start, end = _get_period_bounds(PeriodType.daily)
|
||||
now = datetime.now(UTC)
|
||||
|
||||
# End should be start of current day (midnight)
|
||||
expected_end = now.replace(hour=0, minute=0, second=0, microsecond=0)
|
||||
assert end == expected_end
|
||||
# Start should be 24 hours before end
|
||||
assert (end - start) == timedelta(days=1)
|
||||
|
||||
|
||||
class TestTrackedAgents:
|
||||
"""Test agent tracking functions."""
|
||||
|
||||
def test_get_tracked_agents(self):
|
||||
"""Test get_tracked_agents returns sorted list."""
|
||||
agents = get_tracked_agents()
|
||||
assert isinstance(agents, list)
|
||||
assert "kimi" in agents
|
||||
assert "claude" in agents
|
||||
assert "gemini" in agents
|
||||
assert "hermes" in agents
|
||||
assert "manus" in agents
|
||||
assert agents == sorted(agents)
|
||||
|
||||
def test_is_tracked_agent_true(self):
|
||||
"""Test _is_tracked_agent returns True for tracked agents."""
|
||||
assert _is_tracked_agent("kimi") is True
|
||||
assert _is_tracked_agent("KIMI") is True # case insensitive
|
||||
assert _is_tracked_agent("claude") is True
|
||||
assert _is_tracked_agent("hermes") is True
|
||||
|
||||
def test_is_tracked_agent_false(self):
|
||||
"""Test _is_tracked_agent returns False for untracked agents."""
|
||||
assert _is_tracked_agent("unknown") is False
|
||||
assert _is_tracked_agent("rockachopa") is False
|
||||
assert _is_tracked_agent("") is False
|
||||
|
||||
|
||||
class TestExtractActor:
|
||||
"""Test actor extraction from events."""
|
||||
|
||||
def test_extract_from_actor_field(self):
|
||||
"""Test extraction from data.actor field."""
|
||||
event = Event(type="test", source="system", data={"actor": "kimi"})
|
||||
assert _extract_actor_from_event(event) == "kimi"
|
||||
|
||||
def test_extract_from_agent_id_field(self):
|
||||
"""Test extraction from data.agent_id field."""
|
||||
event = Event(type="test", source="system", data={"agent_id": "claude"})
|
||||
assert _extract_actor_from_event(event) == "claude"
|
||||
|
||||
def test_extract_from_source_fallback(self):
|
||||
"""Test fallback to event.source."""
|
||||
event = Event(type="test", source="gemini", data={})
|
||||
assert _extract_actor_from_event(event) == "gemini"
|
||||
|
||||
def test_actor_priority_over_agent_id(self):
|
||||
"""Test actor field takes priority over agent_id."""
|
||||
event = Event(type="test", source="system", data={"actor": "kimi", "agent_id": "claude"})
|
||||
assert _extract_actor_from_event(event) == "kimi"
|
||||
|
||||
|
||||
class TestAggregateMetrics:
|
||||
"""Test metrics aggregation from events."""
|
||||
|
||||
def test_empty_events(self):
|
||||
"""Test aggregation with no events returns empty dict."""
|
||||
result = _aggregate_metrics([])
|
||||
assert result == {}
|
||||
|
||||
def test_push_event_aggregation(self):
|
||||
"""Test push events aggregate commits correctly."""
|
||||
events = [
|
||||
Event(type="gitea.push", source="gitea", data={"actor": "kimi", "num_commits": 3}),
|
||||
Event(type="gitea.push", source="gitea", data={"actor": "kimi", "num_commits": 2}),
|
||||
]
|
||||
result = _aggregate_metrics(events)
|
||||
|
||||
assert "kimi" in result
|
||||
assert result["kimi"].commits == 5
|
||||
|
||||
def test_issue_opened_aggregation(self):
|
||||
"""Test issue opened events aggregate correctly."""
|
||||
events = [
|
||||
Event(
|
||||
type="gitea.issue.opened",
|
||||
source="gitea",
|
||||
data={"actor": "claude", "issue_number": 100},
|
||||
),
|
||||
Event(
|
||||
type="gitea.issue.opened",
|
||||
source="gitea",
|
||||
data={"actor": "claude", "issue_number": 101},
|
||||
),
|
||||
]
|
||||
result = _aggregate_metrics(events)
|
||||
|
||||
assert "claude" in result
|
||||
assert len(result["claude"].issues_touched) == 2
|
||||
assert 100 in result["claude"].issues_touched
|
||||
assert 101 in result["claude"].issues_touched
|
||||
|
||||
def test_comment_aggregation(self):
|
||||
"""Test comment events aggregate correctly."""
|
||||
events = [
|
||||
Event(
|
||||
type="gitea.issue.comment",
|
||||
source="gitea",
|
||||
data={"actor": "gemini", "issue_number": 100},
|
||||
),
|
||||
Event(
|
||||
type="gitea.issue.comment",
|
||||
source="gitea",
|
||||
data={"actor": "gemini", "issue_number": 101},
|
||||
),
|
||||
]
|
||||
result = _aggregate_metrics(events)
|
||||
|
||||
assert "gemini" in result
|
||||
assert result["gemini"].comments == 2
|
||||
assert len(result["gemini"].issues_touched) == 2 # Comments touch issues too
|
||||
|
||||
def test_pr_events_aggregation(self):
|
||||
"""Test PR open and merge events aggregate correctly."""
|
||||
events = [
|
||||
Event(
|
||||
type="gitea.pull_request",
|
||||
source="gitea",
|
||||
data={"actor": "kimi", "pr_number": 50, "action": "opened"},
|
||||
),
|
||||
Event(
|
||||
type="gitea.pull_request",
|
||||
source="gitea",
|
||||
data={"actor": "kimi", "pr_number": 50, "action": "closed", "merged": True},
|
||||
),
|
||||
Event(
|
||||
type="gitea.pull_request",
|
||||
source="gitea",
|
||||
data={"actor": "kimi", "pr_number": 51, "action": "opened"},
|
||||
),
|
||||
]
|
||||
result = _aggregate_metrics(events)
|
||||
|
||||
assert "kimi" in result
|
||||
assert len(result["kimi"].prs_opened) == 2
|
||||
assert len(result["kimi"].prs_merged) == 1
|
||||
assert 50 in result["kimi"].prs_merged
|
||||
|
||||
def test_untracked_agent_filtered(self):
|
||||
"""Test events from untracked agents are filtered out."""
|
||||
events = [
|
||||
Event(
|
||||
type="gitea.push", source="gitea", data={"actor": "rockachopa", "num_commits": 5}
|
||||
),
|
||||
]
|
||||
result = _aggregate_metrics(events)
|
||||
|
||||
assert "rockachopa" not in result
|
||||
|
||||
def test_task_completion_aggregation(self):
|
||||
"""Test task completion events aggregate test files."""
|
||||
events = [
|
||||
Event(
|
||||
type="agent.task.completed",
|
||||
source="gitea",
|
||||
data={
|
||||
"agent_id": "kimi",
|
||||
"tests_affected": ["test_foo.py", "test_bar.py"],
|
||||
"token_reward": 10,
|
||||
},
|
||||
),
|
||||
]
|
||||
result = _aggregate_metrics(events)
|
||||
|
||||
assert "kimi" in result
|
||||
assert len(result["kimi"].tests_affected) == 2
|
||||
assert "test_foo.py" in result["kimi"].tests_affected
|
||||
assert result["kimi"].tokens_earned == 10
|
||||
|
||||
|
||||
class TestAgentMetrics:
|
||||
"""Test AgentMetrics class."""
|
||||
|
||||
def test_merge_rate_zero_prs(self):
|
||||
"""Test merge rate is 0 when no PRs opened."""
|
||||
metrics = AgentMetrics(agent_id="kimi")
|
||||
assert metrics.pr_merge_rate == 0.0
|
||||
|
||||
def test_merge_rate_perfect(self):
|
||||
"""Test 100% merge rate calculation."""
|
||||
metrics = AgentMetrics(agent_id="kimi", prs_opened={1, 2, 3}, prs_merged={1, 2, 3})
|
||||
assert metrics.pr_merge_rate == 1.0
|
||||
|
||||
def test_merge_rate_partial(self):
|
||||
"""Test partial merge rate calculation."""
|
||||
metrics = AgentMetrics(agent_id="kimi", prs_opened={1, 2, 3, 4}, prs_merged={1, 2})
|
||||
assert metrics.pr_merge_rate == 0.5
|
||||
|
||||
|
||||
class TestDetectPatterns:
|
||||
"""Test pattern detection logic."""
|
||||
|
||||
def test_high_merge_rate_pattern(self):
|
||||
"""Test detection of high merge rate pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
prs_opened={1, 2, 3, 4, 5},
|
||||
prs_merged={1, 2, 3, 4}, # 80% merge rate
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("High merge rate" in p for p in patterns)
|
||||
|
||||
def test_low_merge_rate_pattern(self):
|
||||
"""Test detection of low merge rate pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
prs_opened={1, 2, 3, 4, 5},
|
||||
prs_merged={1}, # 20% merge rate
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("low merge rate" in p for p in patterns)
|
||||
|
||||
def test_high_commits_no_prs_pattern(self):
|
||||
"""Test detection of direct-to-main commits pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
commits=15,
|
||||
prs_opened=set(),
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("High commit volume without PRs" in p for p in patterns)
|
||||
|
||||
def test_silent_worker_pattern(self):
|
||||
"""Test detection of silent worker pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
issues_touched={1, 2, 3, 4, 5, 6},
|
||||
comments=0,
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("silent worker" in p for p in patterns)
|
||||
|
||||
def test_communicative_pattern(self):
|
||||
"""Test detection of highly communicative pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
issues_touched={1, 2}, # 2 issues
|
||||
comments=10, # 5x comments per issue
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("Highly communicative" in p for p in patterns)
|
||||
|
||||
def test_token_accumulation_pattern(self):
|
||||
"""Test detection of token accumulation pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
tokens_earned=150,
|
||||
tokens_spent=10,
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("Strong token accumulation" in p for p in patterns)
|
||||
|
||||
def test_token_spend_pattern(self):
|
||||
"""Test detection of high token spend pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
tokens_earned=10,
|
||||
tokens_spent=100,
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("High token spend" in p for p in patterns)
|
||||
|
||||
|
||||
class TestGenerateNarrative:
|
||||
"""Test narrative bullet generation."""
|
||||
|
||||
def test_empty_metrics_narrative(self):
|
||||
"""Test narrative for empty metrics mentions no activity."""
|
||||
metrics = AgentMetrics(agent_id="kimi")
|
||||
bullets = _generate_narrative_bullets(metrics, PeriodType.daily)
|
||||
|
||||
assert len(bullets) == 1
|
||||
assert "No recorded activity" in bullets[0]
|
||||
|
||||
def test_activity_summary_narrative(self):
|
||||
"""Test narrative includes activity summary."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
commits=5,
|
||||
prs_opened={1, 2},
|
||||
prs_merged={1},
|
||||
)
|
||||
bullets = _generate_narrative_bullets(metrics, PeriodType.daily)
|
||||
|
||||
activity_bullet = next((b for b in bullets if "Active across" in b), None)
|
||||
assert activity_bullet is not None
|
||||
assert "5 commits" in activity_bullet
|
||||
assert "2 PRs opened" in activity_bullet
|
||||
assert "1 PR merged" in activity_bullet
|
||||
|
||||
def test_tests_affected_narrative(self):
|
||||
"""Test narrative includes tests affected."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
tests_affected={"test_a.py", "test_b.py"},
|
||||
)
|
||||
bullets = _generate_narrative_bullets(metrics, PeriodType.daily)
|
||||
|
||||
assert any("2 test files" in b for b in bullets)
|
||||
|
||||
def test_tokens_earned_narrative(self):
|
||||
"""Test narrative includes token earnings."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
tokens_earned=100,
|
||||
tokens_spent=20,
|
||||
)
|
||||
bullets = _generate_narrative_bullets(metrics, PeriodType.daily)
|
||||
|
||||
assert any("Net earned 80 tokens" in b for b in bullets)
|
||||
|
||||
def test_tokens_spent_narrative(self):
|
||||
"""Test narrative includes token spending."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
tokens_earned=20,
|
||||
tokens_spent=100,
|
||||
)
|
||||
bullets = _generate_narrative_bullets(metrics, PeriodType.daily)
|
||||
|
||||
assert any("Net spent 80 tokens" in b for b in bullets)
|
||||
|
||||
def test_balanced_tokens_narrative(self):
|
||||
"""Test narrative for balanced token flow."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
tokens_earned=100,
|
||||
tokens_spent=100,
|
||||
)
|
||||
bullets = _generate_narrative_bullets(metrics, PeriodType.daily)
|
||||
|
||||
assert any("Balanced token flow" in b for b in bullets)
|
||||
|
||||
|
||||
class TestScorecardSummary:
|
||||
"""Test ScorecardSummary dataclass."""
|
||||
|
||||
def test_to_dict_structure(self):
|
||||
"""Test to_dict returns expected structure."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
issues_touched={1, 2},
|
||||
prs_opened={10, 11},
|
||||
prs_merged={10},
|
||||
tokens_earned=100,
|
||||
tokens_spent=20,
|
||||
)
|
||||
summary = ScorecardSummary(
|
||||
agent_id="kimi",
|
||||
period_type=PeriodType.daily,
|
||||
period_start=datetime.now(UTC),
|
||||
period_end=datetime.now(UTC),
|
||||
metrics=metrics,
|
||||
narrative_bullets=["Test bullet"],
|
||||
patterns=["Test pattern"],
|
||||
)
|
||||
data = summary.to_dict()
|
||||
|
||||
assert data["agent_id"] == "kimi"
|
||||
assert data["period_type"] == "daily"
|
||||
assert "metrics" in data
|
||||
assert data["metrics"]["issues_touched"] == 2
|
||||
assert data["metrics"]["prs_opened"] == 2
|
||||
assert data["metrics"]["prs_merged"] == 1
|
||||
assert data["metrics"]["pr_merge_rate"] == 0.5
|
||||
assert data["metrics"]["tokens_earned"] == 100
|
||||
assert data["metrics"]["token_net"] == 80
|
||||
assert data["narrative_bullets"] == ["Test bullet"]
|
||||
assert data["patterns"] == ["Test pattern"]
|
||||
|
||||
|
||||
class TestQueryTokenTransactions:
|
||||
"""Test token transaction querying."""
|
||||
|
||||
def test_empty_ledger(self):
|
||||
"""Test empty ledger returns zero values."""
|
||||
with patch("lightning.ledger.get_transactions", return_value=[]):
|
||||
earned, spent = _query_token_transactions("kimi", datetime.now(UTC), datetime.now(UTC))
|
||||
assert earned == 0
|
||||
assert spent == 0
|
||||
|
||||
def test_ledger_with_transactions(self):
|
||||
"""Test ledger aggregation of transactions."""
|
||||
now = datetime.now(UTC)
|
||||
mock_tx = [
|
||||
MagicMock(
|
||||
agent_id="kimi",
|
||||
tx_type=MagicMock(value="incoming"),
|
||||
amount_sats=100,
|
||||
created_at=now.isoformat(),
|
||||
),
|
||||
MagicMock(
|
||||
agent_id="kimi",
|
||||
tx_type=MagicMock(value="outgoing"),
|
||||
amount_sats=30,
|
||||
created_at=now.isoformat(),
|
||||
),
|
||||
]
|
||||
with patch("lightning.ledger.get_transactions", return_value=mock_tx):
|
||||
earned, spent = _query_token_transactions(
|
||||
"kimi", now - timedelta(hours=1), now + timedelta(hours=1)
|
||||
)
|
||||
assert earned == 100
|
||||
assert spent == 30
|
||||
|
||||
def test_ledger_filters_by_agent(self):
|
||||
"""Test ledger filters transactions by agent_id."""
|
||||
now = datetime.now(UTC)
|
||||
mock_tx = [
|
||||
MagicMock(
|
||||
agent_id="claude",
|
||||
tx_type=MagicMock(value="incoming"),
|
||||
amount_sats=100,
|
||||
created_at=now.isoformat(),
|
||||
),
|
||||
]
|
||||
with patch("lightning.ledger.get_transactions", return_value=mock_tx):
|
||||
earned, spent = _query_token_transactions(
|
||||
"kimi", now - timedelta(hours=1), now + timedelta(hours=1)
|
||||
)
|
||||
assert earned == 0 # Transaction was for claude, not kimi
|
||||
|
||||
def test_ledger_filters_by_time(self):
|
||||
"""Test ledger filters transactions by time range."""
|
||||
now = datetime.now(UTC)
|
||||
old_time = now - timedelta(days=2)
|
||||
mock_tx = [
|
||||
MagicMock(
|
||||
agent_id="kimi",
|
||||
tx_type=MagicMock(value="incoming"),
|
||||
amount_sats=100,
|
||||
created_at=old_time.isoformat(),
|
||||
),
|
||||
]
|
||||
with patch("lightning.ledger.get_transactions", return_value=mock_tx):
|
||||
# Query for today only
|
||||
earned, spent = _query_token_transactions(
|
||||
"kimi", now - timedelta(hours=1), now + timedelta(hours=1)
|
||||
)
|
||||
assert earned == 0 # Transaction was 2 days ago
|
||||
|
||||
|
||||
class TestGenerateScorecard:
|
||||
"""Test scorecard generation."""
|
||||
|
||||
def test_generate_scorecard_no_activity(self):
|
||||
"""Test scorecard generation for agent with no activity."""
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._collect_events_for_period", return_value=[]
|
||||
):
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._query_token_transactions",
|
||||
return_value=(0, 0),
|
||||
):
|
||||
scorecard = generate_scorecard("kimi", PeriodType.daily)
|
||||
|
||||
assert scorecard is not None
|
||||
assert scorecard.agent_id == "kimi"
|
||||
assert scorecard.period_type == PeriodType.daily
|
||||
assert len(scorecard.narrative_bullets) == 1
|
||||
assert "No recorded activity" in scorecard.narrative_bullets[0]
|
||||
|
||||
def test_generate_scorecard_with_activity(self):
|
||||
"""Test scorecard generation includes activity."""
|
||||
events = [
|
||||
Event(type="gitea.push", source="gitea", data={"actor": "kimi", "num_commits": 5}),
|
||||
]
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._collect_events_for_period", return_value=events
|
||||
):
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._query_token_transactions",
|
||||
return_value=(100, 20),
|
||||
):
|
||||
scorecard = generate_scorecard("kimi", PeriodType.daily)
|
||||
|
||||
assert scorecard is not None
|
||||
assert scorecard.metrics.commits == 5
|
||||
assert scorecard.metrics.tokens_earned == 100
|
||||
assert scorecard.metrics.tokens_spent == 20
|
||||
|
||||
|
||||
class TestGenerateAllScorecards:
|
||||
"""Test generating scorecards for all agents."""
|
||||
|
||||
def test_generates_for_all_tracked_agents(self):
|
||||
"""Test all tracked agents get scorecards even with no activity."""
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._collect_events_for_period", return_value=[]
|
||||
):
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._query_token_transactions",
|
||||
return_value=(0, 0),
|
||||
):
|
||||
scorecards = generate_all_scorecards(PeriodType.daily)
|
||||
|
||||
agent_ids = {s.agent_id for s in scorecards}
|
||||
expected = {"kimi", "claude", "gemini", "hermes", "manus"}
|
||||
assert expected.issubset(agent_ids)
|
||||
|
||||
def test_scorecards_sorted(self):
|
||||
"""Test scorecards are sorted by agent_id."""
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._collect_events_for_period", return_value=[]
|
||||
):
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._query_token_transactions",
|
||||
return_value=(0, 0),
|
||||
):
|
||||
scorecards = generate_all_scorecards(PeriodType.daily)
|
||||
|
||||
agent_ids = [s.agent_id for s in scorecards]
|
||||
assert agent_ids == sorted(agent_ids)
|
||||
|
||||
|
||||
class TestScorecardRoutes:
|
||||
"""Test scorecard API routes."""
|
||||
|
||||
def test_list_agents_endpoint(self, client):
|
||||
"""Test GET /scorecards/api/agents returns tracked agents."""
|
||||
response = client.get("/scorecards/api/agents")
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
assert "agents" in data
|
||||
assert "kimi" in data["agents"]
|
||||
assert "claude" in data["agents"]
|
||||
|
||||
def test_get_scorecard_endpoint(self, client):
|
||||
"""Test GET /scorecards/api/{agent_id} returns scorecard."""
|
||||
with patch("dashboard.routes.scorecards.generate_scorecard") as mock_generate:
|
||||
mock_generate.return_value = ScorecardSummary(
|
||||
agent_id="kimi",
|
||||
period_type=PeriodType.daily,
|
||||
period_start=datetime.now(UTC),
|
||||
period_end=datetime.now(UTC),
|
||||
metrics=AgentMetrics(agent_id="kimi"),
|
||||
narrative_bullets=["Test bullet"],
|
||||
patterns=[],
|
||||
)
|
||||
response = client.get("/scorecards/api/kimi?period=daily")
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
assert data["agent_id"] == "kimi"
|
||||
assert data["period_type"] == "daily"
|
||||
|
||||
def test_get_scorecard_invalid_period(self, client):
|
||||
"""Test GET with invalid period returns 400."""
|
||||
response = client.get("/scorecards/api/kimi?period=invalid")
|
||||
assert response.status_code == 400
|
||||
assert "error" in response.json()
|
||||
|
||||
def test_get_all_scorecards_endpoint(self, client):
|
||||
"""Test GET /scorecards/api returns all scorecards."""
|
||||
with patch("dashboard.routes.scorecards.generate_all_scorecards") as mock_generate:
|
||||
mock_generate.return_value = [
|
||||
ScorecardSummary(
|
||||
agent_id="kimi",
|
||||
period_type=PeriodType.daily,
|
||||
period_start=datetime.now(UTC),
|
||||
period_end=datetime.now(UTC),
|
||||
metrics=AgentMetrics(agent_id="kimi"),
|
||||
narrative_bullets=[],
|
||||
patterns=[],
|
||||
),
|
||||
]
|
||||
response = client.get("/scorecards/api?period=daily")
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
assert data["period"] == "daily"
|
||||
assert "scorecards" in data
|
||||
assert len(data["scorecards"]) == 1
|
||||
|
||||
def test_scorecards_page_renders(self, client):
|
||||
"""Test GET /scorecards returns HTML page."""
|
||||
response = client.get("/scorecards")
|
||||
assert response.status_code == 200
|
||||
assert "text/html" in response.headers.get("content-type", "")
|
||||
assert "AGENT SCORECARDS" in response.text
|
||||
|
||||
def test_scorecard_panel_renders(self, client):
|
||||
"""Test GET /scorecards/panel/{agent_id} returns HTML."""
|
||||
with patch("dashboard.routes.scorecards.generate_scorecard") as mock_generate:
|
||||
mock_generate.return_value = ScorecardSummary(
|
||||
agent_id="kimi",
|
||||
period_type=PeriodType.daily,
|
||||
period_start=datetime.now(UTC),
|
||||
period_end=datetime.now(UTC),
|
||||
metrics=AgentMetrics(agent_id="kimi", commits=5),
|
||||
narrative_bullets=["Active across 5 commits this day."],
|
||||
patterns=["High activity"],
|
||||
)
|
||||
response = client.get("/scorecards/panel/kimi?period=daily")
|
||||
|
||||
assert response.status_code == 200
|
||||
assert "text/html" in response.headers.get("content-type", "")
|
||||
assert "Kimi" in response.text
|
||||
|
||||
def test_all_panels_renders(self, client):
|
||||
"""Test GET /scorecards/all/panels returns HTML with all panels."""
|
||||
with patch("dashboard.routes.scorecards.generate_all_scorecards") as mock_generate:
|
||||
mock_generate.return_value = [
|
||||
ScorecardSummary(
|
||||
agent_id="kimi",
|
||||
period_type=PeriodType.daily,
|
||||
period_start=datetime.now(UTC),
|
||||
period_end=datetime.now(UTC),
|
||||
metrics=AgentMetrics(agent_id="kimi"),
|
||||
narrative_bullets=[],
|
||||
patterns=[],
|
||||
),
|
||||
]
|
||||
response = client.get("/scorecards/all/panels?period=daily")
|
||||
|
||||
assert response.status_code == 200
|
||||
assert "text/html" in response.headers.get("content-type", "")
|
||||
@@ -1,489 +0,0 @@
|
||||
"""Unit tests for the quest system.
|
||||
|
||||
Tests quest definitions, progress tracking, completion detection,
|
||||
and token rewards.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import pytest
|
||||
|
||||
from timmy.quest_system import (
|
||||
QuestDefinition,
|
||||
QuestProgress,
|
||||
QuestStatus,
|
||||
QuestType,
|
||||
_is_on_cooldown,
|
||||
claim_quest_reward,
|
||||
evaluate_quest_progress,
|
||||
get_or_create_progress,
|
||||
get_quest_definition,
|
||||
get_quest_leaderboard,
|
||||
load_quest_config,
|
||||
reset_quest_progress,
|
||||
update_quest_progress,
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def clean_quest_state():
|
||||
"""Reset quest progress between tests."""
|
||||
reset_quest_progress()
|
||||
yield
|
||||
reset_quest_progress()
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_issue_count_quest():
|
||||
"""Create a sample issue_count quest definition."""
|
||||
return QuestDefinition(
|
||||
id="test_close_issues",
|
||||
name="Test Issue Closer",
|
||||
description="Close 3 test issues",
|
||||
reward_tokens=100,
|
||||
quest_type=QuestType.ISSUE_COUNT,
|
||||
enabled=True,
|
||||
repeatable=False,
|
||||
cooldown_hours=0,
|
||||
criteria={"target_count": 3, "issue_labels": ["test"]},
|
||||
notification_message="Test quest complete! Earned {tokens} tokens.",
|
||||
)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_daily_run_quest():
|
||||
"""Create a sample daily_run quest definition."""
|
||||
return QuestDefinition(
|
||||
id="test_daily_run",
|
||||
name="Test Daily Runner",
|
||||
description="Complete 5 sessions",
|
||||
reward_tokens=250,
|
||||
quest_type=QuestType.DAILY_RUN,
|
||||
enabled=True,
|
||||
repeatable=True,
|
||||
cooldown_hours=24,
|
||||
criteria={"min_sessions": 5},
|
||||
notification_message="Daily run quest complete! Earned {tokens} tokens.",
|
||||
)
|
||||
|
||||
|
||||
# ── Quest Definition Tests ───────────────────────────────────────────────
|
||||
|
||||
|
||||
class TestQuestDefinition:
|
||||
def test_from_dict_minimal(self):
|
||||
data = {"id": "test_quest", "name": "Test Quest"}
|
||||
quest = QuestDefinition.from_dict(data)
|
||||
assert quest.id == "test_quest"
|
||||
assert quest.name == "Test Quest"
|
||||
assert quest.quest_type == QuestType.CUSTOM
|
||||
assert quest.enabled is True
|
||||
|
||||
def test_from_dict_full(self):
|
||||
data = {
|
||||
"id": "full_quest",
|
||||
"name": "Full Quest",
|
||||
"description": "A test quest",
|
||||
"reward_tokens": 500,
|
||||
"type": "issue_count",
|
||||
"enabled": False,
|
||||
"repeatable": True,
|
||||
"cooldown_hours": 12,
|
||||
"criteria": {"target_count": 5},
|
||||
"notification_message": "Done!",
|
||||
}
|
||||
quest = QuestDefinition.from_dict(data)
|
||||
assert quest.id == "full_quest"
|
||||
assert quest.reward_tokens == 500
|
||||
assert quest.quest_type == QuestType.ISSUE_COUNT
|
||||
assert quest.enabled is False
|
||||
assert quest.repeatable is True
|
||||
assert quest.cooldown_hours == 12
|
||||
|
||||
|
||||
# ── Quest Progress Tests ─────────────────────────────────────────────────
|
||||
|
||||
|
||||
class TestQuestProgress:
|
||||
def test_progress_creation(self):
|
||||
progress = QuestProgress(
|
||||
quest_id="test_quest",
|
||||
agent_id="test_agent",
|
||||
status=QuestStatus.NOT_STARTED,
|
||||
)
|
||||
assert progress.quest_id == "test_quest"
|
||||
assert progress.agent_id == "test_agent"
|
||||
assert progress.current_value == 0
|
||||
|
||||
def test_progress_to_dict(self):
|
||||
progress = QuestProgress(
|
||||
quest_id="test_quest",
|
||||
agent_id="test_agent",
|
||||
status=QuestStatus.IN_PROGRESS,
|
||||
current_value=2,
|
||||
target_value=5,
|
||||
)
|
||||
data = progress.to_dict()
|
||||
assert data["quest_id"] == "test_quest"
|
||||
assert data["status"] == "in_progress"
|
||||
assert data["current_value"] == 2
|
||||
|
||||
|
||||
# ── Quest Loading Tests ──────────────────────────────────────────────────
|
||||
|
||||
|
||||
class TestQuestLoading:
|
||||
def test_load_quest_config(self):
|
||||
definitions, settings = load_quest_config()
|
||||
assert isinstance(definitions, dict)
|
||||
assert isinstance(settings, dict)
|
||||
|
||||
def test_get_quest_definition_exists(self):
|
||||
# Should return None for non-existent quest in fresh state
|
||||
quest = get_quest_definition("nonexistent")
|
||||
# The function returns from loaded config, which may have quests
|
||||
# or be empty if config doesn't exist
|
||||
assert quest is None or isinstance(quest, QuestDefinition)
|
||||
|
||||
def test_get_quest_definition_not_found(self):
|
||||
quest = get_quest_definition("definitely_not_a_real_quest_12345")
|
||||
assert quest is None
|
||||
|
||||
|
||||
# ── Quest Progress Management Tests ─────────────────────────────────────
|
||||
|
||||
|
||||
class TestQuestProgressManagement:
|
||||
def test_get_or_create_progress_new(self):
|
||||
# First create a quest definition
|
||||
quest = QuestDefinition(
|
||||
id="progress_test",
|
||||
name="Progress Test",
|
||||
description="Test quest",
|
||||
reward_tokens=100,
|
||||
quest_type=QuestType.ISSUE_COUNT,
|
||||
enabled=True,
|
||||
repeatable=False,
|
||||
cooldown_hours=0,
|
||||
criteria={"target_count": 3},
|
||||
notification_message="Done!",
|
||||
)
|
||||
|
||||
# Need to inject into the definitions dict
|
||||
from timmy.quest_system import _quest_definitions
|
||||
|
||||
_quest_definitions["progress_test"] = quest
|
||||
|
||||
progress = get_or_create_progress("progress_test", "agent1")
|
||||
assert progress.quest_id == "progress_test"
|
||||
assert progress.agent_id == "agent1"
|
||||
assert progress.status == QuestStatus.NOT_STARTED
|
||||
assert progress.target_value == 3
|
||||
|
||||
del _quest_definitions["progress_test"]
|
||||
|
||||
def test_update_quest_progress(self):
|
||||
quest = QuestDefinition(
|
||||
id="update_test",
|
||||
name="Update Test",
|
||||
description="Test quest",
|
||||
reward_tokens=100,
|
||||
quest_type=QuestType.ISSUE_COUNT,
|
||||
enabled=True,
|
||||
repeatable=False,
|
||||
cooldown_hours=0,
|
||||
criteria={"target_count": 3},
|
||||
notification_message="Done!",
|
||||
)
|
||||
|
||||
from timmy.quest_system import _quest_definitions
|
||||
|
||||
_quest_definitions["update_test"] = quest
|
||||
|
||||
# Create initial progress
|
||||
progress = get_or_create_progress("update_test", "agent1")
|
||||
assert progress.current_value == 0
|
||||
|
||||
# Update progress
|
||||
updated = update_quest_progress("update_test", "agent1", 2)
|
||||
assert updated.current_value == 2
|
||||
assert updated.status == QuestStatus.NOT_STARTED
|
||||
|
||||
# Complete the quest
|
||||
completed = update_quest_progress("update_test", "agent1", 3)
|
||||
assert completed.current_value == 3
|
||||
assert completed.status == QuestStatus.COMPLETED
|
||||
assert completed.completed_at != ""
|
||||
|
||||
del _quest_definitions["update_test"]
|
||||
|
||||
|
||||
# ── Quest Evaluation Tests ───────────────────────────────────────────────
|
||||
|
||||
|
||||
class TestQuestEvaluation:
|
||||
def test_evaluate_issue_count_quest(self):
|
||||
quest = QuestDefinition(
|
||||
id="eval_test",
|
||||
name="Eval Test",
|
||||
description="Test quest",
|
||||
reward_tokens=100,
|
||||
quest_type=QuestType.ISSUE_COUNT,
|
||||
enabled=True,
|
||||
repeatable=False,
|
||||
cooldown_hours=0,
|
||||
criteria={"target_count": 2, "issue_labels": ["test"]},
|
||||
notification_message="Done!",
|
||||
)
|
||||
|
||||
from timmy.quest_system import _quest_definitions
|
||||
|
||||
_quest_definitions["eval_test"] = quest
|
||||
|
||||
# Simulate closed issues
|
||||
closed_issues = [
|
||||
{"id": 1, "labels": [{"name": "test"}]},
|
||||
{"id": 2, "labels": [{"name": "test"}, {"name": "bug"}]},
|
||||
{"id": 3, "labels": [{"name": "other"}]},
|
||||
]
|
||||
|
||||
context = {"closed_issues": closed_issues}
|
||||
progress = evaluate_quest_progress("eval_test", "agent1", context)
|
||||
|
||||
assert progress is not None
|
||||
assert progress.current_value == 2 # Two issues with 'test' label
|
||||
|
||||
del _quest_definitions["eval_test"]
|
||||
|
||||
def test_evaluate_issue_reduce_quest(self):
|
||||
quest = QuestDefinition(
|
||||
id="reduce_test",
|
||||
name="Reduce Test",
|
||||
description="Test quest",
|
||||
reward_tokens=200,
|
||||
quest_type=QuestType.ISSUE_REDUCE,
|
||||
enabled=True,
|
||||
repeatable=False,
|
||||
cooldown_hours=0,
|
||||
criteria={"target_reduction": 2},
|
||||
notification_message="Done!",
|
||||
)
|
||||
|
||||
from timmy.quest_system import _quest_definitions
|
||||
|
||||
_quest_definitions["reduce_test"] = quest
|
||||
|
||||
context = {"previous_issue_count": 10, "current_issue_count": 7}
|
||||
progress = evaluate_quest_progress("reduce_test", "agent1", context)
|
||||
|
||||
assert progress is not None
|
||||
assert progress.current_value == 3 # Reduced by 3
|
||||
|
||||
del _quest_definitions["reduce_test"]
|
||||
|
||||
def test_evaluate_daily_run_quest(self):
|
||||
quest = QuestDefinition(
|
||||
id="daily_test",
|
||||
name="Daily Test",
|
||||
description="Test quest",
|
||||
reward_tokens=250,
|
||||
quest_type=QuestType.DAILY_RUN,
|
||||
enabled=True,
|
||||
repeatable=True,
|
||||
cooldown_hours=24,
|
||||
criteria={"min_sessions": 5},
|
||||
notification_message="Done!",
|
||||
)
|
||||
|
||||
from timmy.quest_system import _quest_definitions
|
||||
|
||||
_quest_definitions["daily_test"] = quest
|
||||
|
||||
context = {"sessions_completed": 5}
|
||||
progress = evaluate_quest_progress("daily_test", "agent1", context)
|
||||
|
||||
assert progress is not None
|
||||
assert progress.current_value == 5
|
||||
assert progress.status == QuestStatus.COMPLETED
|
||||
|
||||
del _quest_definitions["daily_test"]
|
||||
|
||||
|
||||
# ── Quest Cooldown Tests ─────────────────────────────────────────────────
|
||||
|
||||
|
||||
class TestQuestCooldown:
|
||||
def test_is_on_cooldown_no_cooldown(self):
|
||||
quest = QuestDefinition(
|
||||
id="cooldown_test",
|
||||
name="Cooldown Test",
|
||||
description="Test quest",
|
||||
reward_tokens=100,
|
||||
quest_type=QuestType.ISSUE_COUNT,
|
||||
enabled=True,
|
||||
repeatable=True,
|
||||
cooldown_hours=24,
|
||||
criteria={},
|
||||
notification_message="Done!",
|
||||
)
|
||||
|
||||
progress = QuestProgress(
|
||||
quest_id="cooldown_test",
|
||||
agent_id="agent1",
|
||||
status=QuestStatus.CLAIMED,
|
||||
)
|
||||
|
||||
# No last_completed_at means no cooldown
|
||||
assert _is_on_cooldown(progress, quest) is False
|
||||
|
||||
|
||||
# ── Quest Reward Tests ───────────────────────────────────────────────────
|
||||
|
||||
|
||||
class TestQuestReward:
|
||||
def test_claim_quest_reward_not_completed(self):
|
||||
quest = QuestDefinition(
|
||||
id="reward_test",
|
||||
name="Reward Test",
|
||||
description="Test quest",
|
||||
reward_tokens=100,
|
||||
quest_type=QuestType.ISSUE_COUNT,
|
||||
enabled=True,
|
||||
repeatable=False,
|
||||
cooldown_hours=0,
|
||||
criteria={"target_count": 3},
|
||||
notification_message="Done!",
|
||||
)
|
||||
|
||||
from timmy.quest_system import _quest_definitions, _quest_progress
|
||||
|
||||
_quest_definitions["reward_test"] = quest
|
||||
|
||||
# Create progress but don't complete
|
||||
progress = get_or_create_progress("reward_test", "agent1")
|
||||
_quest_progress["agent1:reward_test"] = progress
|
||||
|
||||
# Try to claim - should fail
|
||||
reward = claim_quest_reward("reward_test", "agent1")
|
||||
assert reward is None
|
||||
|
||||
del _quest_definitions["reward_test"]
|
||||
|
||||
|
||||
# ── Leaderboard Tests ────────────────────────────────────────────────────
|
||||
|
||||
|
||||
class TestQuestLeaderboard:
|
||||
def test_get_quest_leaderboard_empty(self):
|
||||
reset_quest_progress()
|
||||
leaderboard = get_quest_leaderboard()
|
||||
assert leaderboard == []
|
||||
|
||||
def test_get_quest_leaderboard_with_data(self):
|
||||
# Create and complete a quest for two agents
|
||||
quest = QuestDefinition(
|
||||
id="leaderboard_test",
|
||||
name="Leaderboard Test",
|
||||
description="Test quest",
|
||||
reward_tokens=100,
|
||||
quest_type=QuestType.ISSUE_COUNT,
|
||||
enabled=True,
|
||||
repeatable=True,
|
||||
cooldown_hours=0,
|
||||
criteria={"target_count": 1},
|
||||
notification_message="Done!",
|
||||
)
|
||||
|
||||
from timmy.quest_system import _quest_definitions, _quest_progress
|
||||
|
||||
_quest_definitions["leaderboard_test"] = quest
|
||||
|
||||
# Create progress for agent1 with 2 completions
|
||||
progress1 = QuestProgress(
|
||||
quest_id="leaderboard_test",
|
||||
agent_id="agent1",
|
||||
status=QuestStatus.NOT_STARTED,
|
||||
completion_count=2,
|
||||
)
|
||||
_quest_progress["agent1:leaderboard_test"] = progress1
|
||||
|
||||
# Create progress for agent2 with 1 completion
|
||||
progress2 = QuestProgress(
|
||||
quest_id="leaderboard_test",
|
||||
agent_id="agent2",
|
||||
status=QuestStatus.NOT_STARTED,
|
||||
completion_count=1,
|
||||
)
|
||||
_quest_progress["agent2:leaderboard_test"] = progress2
|
||||
|
||||
leaderboard = get_quest_leaderboard()
|
||||
|
||||
assert len(leaderboard) == 2
|
||||
# agent1 should be first (more tokens)
|
||||
assert leaderboard[0]["agent_id"] == "agent1"
|
||||
assert leaderboard[0]["total_tokens"] == 200
|
||||
assert leaderboard[1]["agent_id"] == "agent2"
|
||||
assert leaderboard[1]["total_tokens"] == 100
|
||||
|
||||
del _quest_definitions["leaderboard_test"]
|
||||
|
||||
|
||||
# ── Quest Reset Tests ─────────────────────────────────────────────────────
|
||||
|
||||
|
||||
class TestQuestReset:
|
||||
def test_reset_quest_progress_all(self):
|
||||
# Create some progress entries
|
||||
progress1 = QuestProgress(
|
||||
quest_id="quest1", agent_id="agent1", status=QuestStatus.NOT_STARTED
|
||||
)
|
||||
progress2 = QuestProgress(
|
||||
quest_id="quest2", agent_id="agent2", status=QuestStatus.NOT_STARTED
|
||||
)
|
||||
|
||||
from timmy.quest_system import _quest_progress
|
||||
|
||||
_quest_progress["agent1:quest1"] = progress1
|
||||
_quest_progress["agent2:quest2"] = progress2
|
||||
|
||||
assert len(_quest_progress) == 2
|
||||
|
||||
count = reset_quest_progress()
|
||||
assert count == 2
|
||||
assert len(_quest_progress) == 0
|
||||
|
||||
def test_reset_quest_progress_specific_quest(self):
|
||||
progress1 = QuestProgress(
|
||||
quest_id="quest1", agent_id="agent1", status=QuestStatus.NOT_STARTED
|
||||
)
|
||||
progress2 = QuestProgress(
|
||||
quest_id="quest2", agent_id="agent1", status=QuestStatus.NOT_STARTED
|
||||
)
|
||||
|
||||
from timmy.quest_system import _quest_progress
|
||||
|
||||
_quest_progress["agent1:quest1"] = progress1
|
||||
_quest_progress["agent1:quest2"] = progress2
|
||||
|
||||
count = reset_quest_progress(quest_id="quest1")
|
||||
assert count == 1
|
||||
assert "agent1:quest1" not in _quest_progress
|
||||
assert "agent1:quest2" in _quest_progress
|
||||
|
||||
def test_reset_quest_progress_specific_agent(self):
|
||||
progress1 = QuestProgress(
|
||||
quest_id="quest1", agent_id="agent1", status=QuestStatus.NOT_STARTED
|
||||
)
|
||||
progress2 = QuestProgress(
|
||||
quest_id="quest1", agent_id="agent2", status=QuestStatus.NOT_STARTED
|
||||
)
|
||||
|
||||
from timmy.quest_system import _quest_progress
|
||||
|
||||
_quest_progress["agent1:quest1"] = progress1
|
||||
_quest_progress["agent2:quest1"] = progress2
|
||||
|
||||
count = reset_quest_progress(agent_id="agent1")
|
||||
assert count == 1
|
||||
assert "agent1:quest1" not in _quest_progress
|
||||
assert "agent2:quest1" in _quest_progress
|
||||
232
timmy_automations/BACKLOG_ORGANIZATION.md
Normal file
232
timmy_automations/BACKLOG_ORGANIZATION.md
Normal file
@@ -0,0 +1,232 @@
|
||||
# Timmy Automations Backlog Organization
|
||||
|
||||
**Date:** 2026-03-21
|
||||
**Issue:** #720 - Refine and group Timmy Automations backlog
|
||||
**Organized by:** Kimi agent
|
||||
|
||||
---
|
||||
|
||||
## Summary
|
||||
|
||||
The Timmy Automations backlog has been organized into **10 milestones** grouping related work into coherent iterations. This document serves as the authoritative reference for milestone purposes and issue assignments.
|
||||
|
||||
---
|
||||
|
||||
## Milestones Overview
|
||||
|
||||
| Milestone | Issues | Due Date | Description |
|
||||
|-----------|--------|----------|-------------|
|
||||
| **Automation Hub v1** | 2 open | 2026-04-10 | Core automation infrastructure - Timmy Automations module, orchestration, and workflow management |
|
||||
| **Daily Run v1** | 8 open | 2026-04-15 | First iteration of the Daily Run automation system - 10-minute ritual, agenda generation, and focus presets |
|
||||
| **Infrastructure** | 3 open | 2026-04-15 | Infrastructure and deployment tasks - DNS, SSL, VPS, and DevOps |
|
||||
| **Dashboard v1** | 0 open | 2026-04-20 | Mission Control dashboard enhancements - Daily Run metrics, triage visibility, and agent scorecards |
|
||||
| **Inbox & Focus v1** | 1 open | 2026-04-25 | Unified inbox view for Timmy - issue triage, focus management, and work selection |
|
||||
| **Token Economy v1** | 4 open | 2026-04-30 | Token-based reward system for agents - rules, scorecards, quests, and adaptive rewards |
|
||||
| **Code Hygiene** | 14 open | 2026-04-30 | Code quality improvements - tests, docstrings, refactoring, and hardcoded value extraction |
|
||||
| **Matrix Staging** | 19 open | 2026-04-05 | The Matrix 3D world staging deployment - UI fixes, WebSocket, Workshop integration |
|
||||
| **OpenClaw Sovereignty** | 11 open | 2026-05-15 | Deploy sovereign AI agent on Hermes VPS - Ollama, OpenClaw, and Matrix portal integration |
|
||||
|
||||
---
|
||||
|
||||
## Detailed Breakdown
|
||||
|
||||
### Automation Hub v1 (Due: 2026-04-10)
|
||||
Core automation infrastructure - the foundation for all other automation work.
|
||||
|
||||
| Issue | Title | Status |
|
||||
|-------|-------|--------|
|
||||
| #720 | Refine and group Timmy Automations backlog | **In Progress** |
|
||||
| #719 | Generate weekly narrative summary of work and vibes | Open |
|
||||
|
||||
**Recommendation:** Complete #719 first to establish the narrative logging pattern before other milestones.
|
||||
|
||||
---
|
||||
|
||||
### Daily Run v1 (Due: 2026-04-15)
|
||||
The 10-minute ritual that starts Timmy's day - agenda generation, focus presets, and health checks.
|
||||
|
||||
| Issue | Title | Status |
|
||||
|-------|-------|--------|
|
||||
| #716 | Add focus-day presets for Daily Run and work selection | Open |
|
||||
| #704 | Enrich Daily Run agenda with classifications and suggestions | Open |
|
||||
| #705 | Add helper to log Daily Run sessions to a logbook issue | Open |
|
||||
| #706 | Capture Daily Run feels notes and surface nudges | Open |
|
||||
| #707 | Integrate Deep Triage outputs into Daily Run agenda | Open |
|
||||
| #708 | Map flakiness and risky areas for test tightening | Open |
|
||||
| #709 | Add a library of test-tightening recipes for Daily Run | Open |
|
||||
| #710 | Implement quick health snapshot before coding | Open |
|
||||
|
||||
**Recommendation:** Start with #710 (health snapshot) as it provides immediate value and informs other Daily Run features. Then #716 (focus presets) to establish the work selection pattern.
|
||||
|
||||
---
|
||||
|
||||
### Infrastructure (Due: 2026-04-15)
|
||||
DevOps and deployment tasks required for production stability.
|
||||
|
||||
| Issue | Title | Status |
|
||||
|-------|-------|--------|
|
||||
| #687 | Pre-commit and pre-push hooks fail on main due to 256 ModuleNotFoundErrors | Open |
|
||||
| #688 | Point all 4 domains to Hermes VPS in GoDaddy DNS | Open |
|
||||
| #689 | Run SSL provisioning after DNS is pointed | Open |
|
||||
|
||||
**Recommendation:** These are sequential - #687 blocks commits, #688 blocks #689. Prioritize #687 for code hygiene.
|
||||
|
||||
---
|
||||
|
||||
### Dashboard v1 (Due: 2026-04-20)
|
||||
Mission Control dashboard for automation visibility. Currently empty as related work is in Token Economy (#712).
|
||||
|
||||
**Note:** Issue #718 (dashboard card for Daily Run) is already closed. Issue #712 (agent scorecards) spans both Token Economy and Dashboard milestones.
|
||||
|
||||
---
|
||||
|
||||
### Inbox & Focus v1 (Due: 2026-04-25)
|
||||
Unified view for issue triage and work selection.
|
||||
|
||||
| Issue | Title | Status |
|
||||
|-------|-------|--------|
|
||||
| #715 | Implement Timmy Inbox unified view | Open |
|
||||
|
||||
**Note:** This is a significant feature that may need to be broken down further once work begins.
|
||||
|
||||
---
|
||||
|
||||
### Token Economy v1 (Due: 2026-04-30)
|
||||
Reward system for agent participation and quality work.
|
||||
|
||||
| Issue | Title | Status |
|
||||
|-------|-------|--------|
|
||||
| #711 | Centralize agent token rules and hooks for automations | Open |
|
||||
| #712 | Generate daily/weekly agent scorecards | Open |
|
||||
| #713 | Implement token quest system for agents | Open |
|
||||
| #714 | Adapt token rewards based on system stress signals | Open |
|
||||
|
||||
**Recommendation:** Start with #711 to establish the token infrastructure, then #712 for visibility. #713 and #714 are enhancements that build on the base system.
|
||||
|
||||
---
|
||||
|
||||
### Code Hygiene (Due: 2026-04-30)
|
||||
Ongoing code quality improvements. These are good "filler" tasks between larger features.
|
||||
|
||||
| Issue | Title | Status |
|
||||
|-------|-------|--------|
|
||||
| #769 | Add unit tests for src/infrastructure/db_pool.py | Open |
|
||||
| #770 | Add unit tests for src/dashboard/routes/health.py | Open |
|
||||
| #771 | Refactor run_agentic_loop() — 120 lines, extract helpers | Open |
|
||||
| #772 | Refactor produce_system_status() — 88 lines, split into sections | Open |
|
||||
| #773 | Add docstrings to public functions in src/dashboard/routes/tasks.py | Open |
|
||||
| #774 | Add docstrings to VoiceTTS.set_rate(), set_volume(), set_voice() | Open |
|
||||
| #775 | Add docstrings to system route functions in src/dashboard/routes/system.py | Open |
|
||||
| #776 | Extract hardcoded PRAGMA busy_timeout=5000 to config | Open |
|
||||
| #777 | DRY up tasks_pending/active/completed — extract shared helper | Open |
|
||||
| #778 | Remove bare `pass` after logged exceptions in src/timmy/tools.py | Open |
|
||||
| #779 | Add unit tests for src/timmy/conversation.py | Open |
|
||||
| #780 | Add unit tests for src/timmy/interview.py | Open |
|
||||
| #781 | Add error handling for missing DB in src/dashboard/routes/tasks.py | Open |
|
||||
| #782 | Extract hardcoded sats limit in consult_grok() to config | Open |
|
||||
|
||||
**Recommendation:** These are independent and can be picked up in any order. Good candidates for when blocked on larger features.
|
||||
|
||||
---
|
||||
|
||||
### Matrix Staging (Due: 2026-04-05)
|
||||
The Matrix 3D world - UI fixes and WebSocket integration for the Workshop.
|
||||
|
||||
**QA Issues:**
|
||||
| Issue | Title |
|
||||
|-------|-------|
|
||||
| #733 | The Matrix staging deployment — 3 issues to fix |
|
||||
| #757 | No landing page or enter button — site loads directly into 3D world |
|
||||
| #758 | WebSocket never connects — VITE_WS_URL is empty in production build |
|
||||
| #759 | Missing Submit Job and Fund Session UI buttons |
|
||||
| #760 | Chat messages silently dropped when WebSocket is offline |
|
||||
| #761 | All routes serve identical content — no client-side router |
|
||||
| #762 | All 5 agents permanently show IDLE state |
|
||||
| #763 | Chat clear button overlaps connection status on small viewports |
|
||||
| #764 | Mobile: status panel overlaps HUD agent count on narrow viewports |
|
||||
|
||||
**UI Enhancement Issues:**
|
||||
| Issue | Title |
|
||||
|-------|-------|
|
||||
| #747 | Add graceful offline mode — show demo mode instead of hanging |
|
||||
| #748 | Add loading spinner/progress bar while 3D scene initializes |
|
||||
| #749 | Add keyboard shortcuts — Escape to close modals, Enter to submit chat |
|
||||
| #750 | Chat input should auto-focus when Workshop panel opens |
|
||||
| #751 | Add connection status indicator with color coding |
|
||||
| #752 | Add dark/light theme toggle |
|
||||
| #753 | Fund Session modal should show explanatory text about what sats do |
|
||||
| #754 | Submit Job modal should validate input before submission |
|
||||
| #755 | Add About/Info panel explaining what The Matrix/Workshop is |
|
||||
| #756 | Add FPS counter visibility toggle — debug-only by default |
|
||||
|
||||
**Note:** This milestone has the earliest due date (2026-04-05) and most issues. Consider splitting into "Matrix Critical" (QA blockers) and "Matrix Polish" (UI enhancements).
|
||||
|
||||
---
|
||||
|
||||
### OpenClaw Sovereignty (Due: 2026-05-15)
|
||||
Deploy a sovereign AI agent on Hermes VPS - the long-term goal of Timmy's independence from cloud APIs.
|
||||
|
||||
| Issue | Title | Status |
|
||||
|-------|-------|--------|
|
||||
| #721 | Research: OpenClaw architecture, deployment modes, and Ollama integration | Open |
|
||||
| #722 | Research: Best small LLMs for agentic tool-calling on constrained hardware | Open |
|
||||
| #723 | Research: OpenClaw SOUL.md and AGENTS.md patterns | Open |
|
||||
| #724 | [1/8] Audit Hermes VPS resources and prepare for OpenClaw deployment | Open |
|
||||
| #725 | [2/8] Install and configure Ollama on Hermes VPS | Open |
|
||||
| #726 | [3/8] Install OpenClaw on Hermes VPS and complete onboarding | Open |
|
||||
| #727 | [4/8] Expose OpenClaw gateway via Tailscale for Matrix portal access | Open |
|
||||
| #728 | [5/8] Create Timmy's SOUL.md and AGENTS.md — sovereign agent persona | Open |
|
||||
| #729 | [6/8] Integrate OpenClaw chat as a portal/scroll in The Matrix frontend | Open |
|
||||
| #730 | [7/8] Create openclaw-tools Gitea repo — Timmy's sovereign toolbox | Open |
|
||||
| #731 | [8/8] Write sovereignty migration plan — offload tasks from Anthropic to OpenClaw | Open |
|
||||
|
||||
**Note:** This is a research-heavy, sequential milestone. Issues #721-#723 should be completed before implementation begins. Consider creating a research summary document as output from the research issues.
|
||||
|
||||
---
|
||||
|
||||
## Issues Intentionally Left Unassigned
|
||||
|
||||
The following issues remain without milestone assignment by design:
|
||||
|
||||
### Philosophy Issues
|
||||
Ongoing discussion threads that don't fit a milestone structure:
|
||||
- #502, #511, #521, #528, #536, #543, #548, #556, #566, #571, #583, #588, #596, #602, #608, #613, #623, #630, #642
|
||||
|
||||
### Feature Ideas / Future Work
|
||||
Ideas that need more definition before milestone assignment:
|
||||
- #654, #653, #652, #651, #650 (ASCII Video showcase)
|
||||
- #664 (Chain Memory song)
|
||||
- #578, #577, #579 (Autonomous action, identity evolution, contextual mastery)
|
||||
|
||||
### Completed Issues
|
||||
Already closed issues remain in their original state without milestone assignment.
|
||||
|
||||
---
|
||||
|
||||
## Recommended Execution Order
|
||||
|
||||
Based on priority and dependencies:
|
||||
|
||||
1. **Automation Hub v1** (April 10) - Foundation for all automation work
|
||||
2. **Daily Run v1** (April 15) - Core developer experience improvement
|
||||
3. **Infrastructure** (April 15) - Unblocks production deployments
|
||||
4. **Matrix Staging** (April 5) - *Parallel track* - UI team work
|
||||
5. **Inbox & Focus v1** (April 25) - Builds on Daily Run patterns
|
||||
6. **Dashboard v1** (April 20) - Visualizes Token Economy data
|
||||
7. **Token Economy v1** (April 30) - Gamification layer
|
||||
8. **Code Hygiene** (April 30) - *Ongoing* - Fill gaps between features
|
||||
9. **OpenClaw Sovereignty** (May 15) - Long-term research and deployment
|
||||
|
||||
---
|
||||
|
||||
## Notes for Future Triage
|
||||
|
||||
- Issues should be assigned to milestones at creation time
|
||||
- Each milestone should have a "Definition of Done" documented
|
||||
- Consider creating epic issues for large milestones (OpenClaw, Matrix)
|
||||
- Weekly triage should review unassigned issues and new arrivals
|
||||
- Milestone due dates should be adjusted based on velocity
|
||||
|
||||
---
|
||||
|
||||
*This document is maintained as part of the Timmy Automations subsystem. Update it when milestone structure changes.*
|
||||
Reference in New Issue
Block a user