# cloudcoil-models-prometheus-operator
Versioned prometheus-operator models for cloudcoil.
## 🔧 Installation
Using [uv](https://github.com/astral-sh/uv) (recommended):
```bash
# Install with Prometheus Operator support
uv add cloudcoil.models.prometheus-operator
```
Using pip:
```bash
pip install cloudcoil.models.prometheus-operator
```
## 💡 Examples
### Using Prometheus Operator Models
```python
from cloudcoil import apimachinery
import cloudcoil.models.prometheus_operator.v1 as prometheus_operator
# Create a Prometheus instance
prometheus = prometheus_operator.Prometheus(
metadata=apimachinery.ObjectMeta(name="main"),
spec=prometheus_operator.PrometheusSpec(
external_url="http://monitoring.my.systems/prometheus",
resources=apimachinery.ResourceRequirements(
requests={
"memory": "400Mi"
}
)
)
).create()
# Create an Alertmanager instance
alert_manager = prometheus_operator.Alertmanager(
metadata=apimachinery.ObjectMeta(name="main"),
spec=prometheus_operator.AlertmanagerSpec(
replicas=3,
external_url="http://monitoring.my.systems/alertmanager",
resources=apimachinery.ResourceRequirements(
requests={
"memory": "400Mi"
}
)
)
).create()
# List Prometheus instances
for prom in prometheus_operator.Prometheus.list():
print(f"Found Prometheus: {prom.metadata.name}")
```
### Using the Fluent Builder API
Cloudcoil provides a powerful fluent builder API for Prometheus Operator resources:
```python
from cloudcoil.models.prometheus_operator.v1 import Prometheus, Alertmanager
# Create a Prometheus using the builder
prometheus = (
Prometheus.builder()
.metadata(lambda m: m
.name("main")
)
.spec(lambda s: s
.external_url("http://monitoring.my.systems/prometheus")
.resources(lambda r: r
.requests({
"memory": "400Mi"
})
)
)
.build()
)
# Create an Alertmanager using the builder
alert_manager = (
Alertmanager.builder()
.metadata(lambda m: m
.name("main")
)
.spec(lambda s: s
.replicas(3)
.external_url("http://monitoring.my.systems/alertmanager")
.resources(lambda r: r
.requests({
"memory": "400Mi"
})
)
)
.build()
)
```
### Using the Context Manager Builder API
For complex monitoring configurations, you can use the context manager-based builder:
```python
from cloudcoil.models.prometheus_operator.v1 import Prometheus
# Create a Prometheus instance using context managers
with Prometheus.new() as prometheus:
with prometheus.metadata() as metadata:
metadata.name("main")
with prometheus.spec() as spec:
spec.external_url("http://monitoring.my.systems/prometheus")
with spec.resources() as resources:
resources.requests({
"memory": "400Mi"
})
final_prometheus = prometheus.build()
```
### Mixing Builder Styles
You can mix different builder styles based on your needs:
```python
from cloudcoil.models.prometheus_operator.v1 import Alertmanager
from cloudcoil import apimachinery
# Create an Alertmanager using mixed styles
with Alertmanager.new() as alert_manager:
# Direct object initialization
alert_manager.metadata(apimachinery.ObjectMeta(
name="main"
))
# Fluent style for spec
alert_manager.spec(lambda s: s
.replicas(3)
.external_url("http://monitoring.my.systems/alertmanager")
.resources(lambda r: r
.requests({
"memory": "400Mi"
})
)
)
final_alert_manager = alert_manager.build()
```
## 📚 Documentation
For complete documentation, visit [cloudcoil.github.io/cloudcoil](https://cloudcoil.github.io/cloudcoil)
## 📜 License
Apache License, Version 2.0 - see [LICENSE](LICENSE)
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