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timhauke
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feat: Introduce comprehensive observability and configuration options
This commit significantly expands the bot's configuration capabilities and introduces new observability features. Key changes include: * **Enhanced `.env.example`**: Added numerous new environment variables for: * Detailed logging configuration (level, format, file rotation, retention). * Sentry integration for error tracking. * Dedicated services: Command Analytics, Queue Telemetry, Lyrics, Scaling, DJ Roles, Chaos, Event Loop Profiling, Search Cache, Shard Supervisor, Metrics, Command Reference, Local Sandbox, Performance, Analytics, Code Coverage, Type Checking. * Fine-grained bot settings: owner ID, prefix, activity, status, intents, sharding, player limits, queue/playlist sizes, track duration, search limits, and command cooldowns. * Updated default values for Lavalink and Redis to `localhost` for easier local development. * Adjusted crossfade defaults. * **Type Checking Integration**: Added `pyrightconfig.json` and `scripts/typecheck.sh` to enable static type analysis. * **Documentation**: Added `docs/development.md` and updated `FURTHER_DEVELOPMENT.md`, `README.md`, and `config.yml` to reflect new features and configuration. * **Core Logic Updates**: * `src/main.py`: Integrated new configuration loading and service initialization based on the expanded settings. * `src/configs/settings.py` and `src/configs/schema.py`: Updated to support the new environment variables and configuration structure. * `src/events/music_events.py`: Added `_telemetry` and `_emit_queue_event` methods, and integrated lyrics fetching. * `src/services/lavalink_service.py`: Updated to use new Lavalink configuration. * `src/services/profile_service.py`: Added event loop profiling. * `src/services/autoplay_service.py`, `src/services/playlist_service.py`: Minor adjustments. * **New Services/Modules (untracked files)**: The diff indicates the addition of many new files and directories related to the services mentioned above (e.g., `src/commands/chaos_commands.py`, `src/services/metrics_service.py`, `docs/analytics.md`, `tests/`). While not part of the diff, their presence in `??` suggests a major feature addition. This commit lays the groundwork for advanced monitoring, debugging, and feature development by centralizing configuration and introducing modular service architecture.
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FURTHER_DEVELOPMENT.md

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<strong>Lyrics Integration</strong> &mdash; Surface synchronised lyrics (Genius, Musixmatch) within now-playing embeds.
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<strong>DJ Permissions Layer</strong> &mdash; Add role-based queue control with an auditable history.
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<strong>Multi-Node Lavalink Failover</strong> &mdash; Provision redundant nodes with automatic reconnect and player migration.
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<strong>Self-Healing Supervisors</strong> &mdash; Watch shard heartbeats and restart or reconnect when anomalies occur.
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<strong>Structured Alerting</strong> &mdash; Export metrics to Prometheus/Alertmanager for proactive paging.
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<strong>Chaos Testing Playbook</strong> &mdash; Run scheduled disconnect, latency, and error-injection drills.
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<strong>Auto Scaling Strategy</strong> &mdash; Integrate with Kubernetes/Nomad to scale shards and nodes based on concurrency dashboards.
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<strong>Grafana Dashboards</strong> &mdash; Publish live dashboards for shard health, node stats, and slash command throughput.
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<strong>Command Analytics Pipeline</strong> &mdash; Stream anonymised command events into a data warehouse for trend analysis.
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<strong>Real-Time Queue Telemetry</strong> &mdash; Emit queue lifecycle events (play, skip, finish) to webhooks or WebSocket consumers.
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<strong>Enhanced Slash Feedback</strong> &mdash; Display progress bars and follow-ups for long-running operations.
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README.md

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<li>Capture <code>stdout</code> for VectoBeat; enable log shipping in production (ELK, CloudWatch, etc.).</li>
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<li>Monitor Lavalink metrics: player count, CPU, memory, frame deficit.</li>
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<li>Import the bundled Grafana dashboards in <code>docs/grafana</code> for shard latency, node health, and slash command throughput visualisations.</li>
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<li>Enable the command analytics pipeline (<code>docs/analytics.md</code>) to push anonymised slash usage into your data warehouse.</li>
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<li>Wire the queue telemetry webhook (<code>docs/queue_telemetry.md</code>) into your status site for real-time “now playing” indicators.</li>
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<li>Long-running slash commands (e.g. playlist loading) now show live progress embeds so users know what’s happening.</li>
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<li>Regularly patch yt-dlp for source compatibility.</li>
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<li>Monitor Redis availability (<code>INFO</code>/<code>PING</code>) if playlist persistence is enabled.</li>
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<li>Fork the repository and clone your fork.</li>
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<li>Create a feature branch <code>git checkout -b feature/amazing-improvement</code>.</li>
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<li>Run <code>python3 -m compileall src</code> before committing.</li>
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<li>Create a feature branch <code>git checkout -b feature/amazing-improvement</code>.</li>
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<li>Run <code>python3 -m compileall src</code> and <code>scripts/typecheck.sh</code> before committing.</li>
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<li>Submit a pull request describing the motivation, approach, and testing performed.</li>
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docs/development.md

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# Development Guide
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## Type Checking
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We require pyright to pass before merging. Install it globally via npm:
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```bash
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npm install -g pyright
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```
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Then run:
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```bash
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scripts/typecheck.sh
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```
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This runs pyright in strict mode using `pyrightconfig.json`.
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## Pre-Commit Checklist
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- `python3 -m compileall src`
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- `scripts/typecheck.sh`
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- `python3 -m pytest` (when tests are added)
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pyrightconfig.json

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{
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"$schema": "https://raw.githubusercontent.com/microsoft/pyright/main/packages/pyright-internal/config.schema.json",
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"include": ["src"],
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"venvPath": ".",
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"venv": null,
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"reportMissingImports": "warning",
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"reportMissingTypeStubs": "warning",
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"reportUntypedClassDecorator": "warning",
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"pythonVersion": "3.11",
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"typeCheckingMode": "strict"
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}

scripts/typecheck.sh

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#!/usr/bin/env bash
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set -euo pipefail
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if ! command -v pyright >/dev/null 2>&1; then
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echo "pyright executable not found. Please npm install -g pyright or add it to PATH." >&2
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exit 127
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fi
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pyright "${@:-src}"

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