custom_plugins

Custom Plugins Example

Build your own MetricCollector plugins to extend pyqual with custom metrics.

Files

• performance_collector.py — Custom collector that reads benchmark/performance JSON
• code_health_collector.py — Composite collector combining multiple code health signals
• pyqual.yaml — Pipeline config using custom plugin metrics

Quick Start

cd examples/custom_plugins

# Register the plugin (from project root)
python performance_collector.py   # self-test mode
python code_health_collector.py   # self-test mode

How It Works

1. Subclass MetricCollector and implement collect(workdir) -> dict[str, float]
2. Register with PluginRegistry.register(YourCollector)
3. Add gate thresholds to pyqual.yaml using the metric names your collector produces

Plugin Structure

from pyqual.plugins import MetricCollector, PluginRegistry, PluginMetadata

class MyCollector(MetricCollector):
    name = "my-tool"
    metadata = PluginMetadata(
        name="my-tool",
        description="What it does",
        version="1.0.0",
        tags=["custom"],
    )

    def collect(self, workdir: Path) -> dict[str, float]:
        # Read from workdir/.pyqual/<your-file>.json
        # Return dict of metric_name -> float_value
        return {}

PluginRegistry.register(MyCollector)

Metrics Produced

PerformanceCollector (performance)

Metric	Description	Source
perf_p50_ms	Median latency (ms)	.pyqual/performance.json
perf_p99_ms	99th percentile latency (ms)	.pyqual/performance.json
perf_rps	Requests per second	.pyqual/performance.json
perf_error_rate	Error rate (%)	.pyqual/performance.json

CodeHealthCollector (code-health)

Metric	Description	Source
health_score	Weighted composite score (0-100)	computed
health_tech_debt_hours	Estimated tech debt (hours)	.pyqual/code_health.json
health_todo_count	Open TODO count	.pyqual/code_health.json
health_dead_code_pct	Dead code percentage	.pyqual/code_health.json

pyqual.yaml

See pyqual.yaml for complete configuration with custom plugins.