Metadata-Version: 2.4
Name: iomete_sdk
Version: 3.1.0
Summary: IOMETE SDK for Python.
Home-page: https://github.com/iomete/iomete-sdk
Author: IOMETE
Author-email: vusal@iomete.com
License: Apache License 2.0
Keywords: iomete,sdk,spark-job,data-security-api
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: requests==2.32.5
Requires-Dist: dataclasses-json==0.6.7
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
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Dynamic: classifier
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# IOMETE SDK

This is the IOMETE SDK for Python.
It provides convenient access to the IOMETE API from applications written in the Python language.

## Installation

Install the package with:

```bash
pip install iomete-sdk
```

## Usage - Spark Job API

### Import and initialize the client
```python
from iomete_sdk.spark import SparkJobApiClient
from iomete_sdk.spark.spark_job import Flow, Priority

HOST = "<DATAPLANE_HOST>" # https://dataplane-endpoint.example.com
API_KEY = "<IOMETE_API_KEY>"
DOMAIN = "<IOMETE_DOMAIN>"

job_client = SparkJobApiClient(
    host=HOST,
    api_key=API_KEY,
    domain=DOMAIN
)
```

### Enums

The SDK provides strict enum validation for `flow` and `priority` fields:

- **Flow**: `Flow.LEGACY` (`"LEGACY"`), `Flow.PRIORITY` (`"PRIORITY"`)
- **Priority**: `Priority.NORMAL` (`"NORMAL"`), `Priority.HIGH` (`"HIGH"`)

### Create a new job
```python
response = job_client.create_job(payload={
        "name": "job-name",
        "bundleId": "bundle-id",
        "flow": Flow.LEGACY.value,
        "priority": Priority.NORMAL.value,
        "namespace": "k8s-namespace",
        "jobUser": "job-user",
        "jobType": "MANUAL/SCHEDULED/STREAMING",
        "template": {
            "applicationType": "python",
            "image": f"iomete/spark-py:3.5.3-v1",
            "mainApplicationFile": "path/to/job.py",
            "configMaps": [{
                "key": "application.conf",
                "content": "[SELECT 1]",
                "mountPath": "/etc/configs"
            }],
            "deps": {
                "pyFiles": ["path/to/dependencies.zip"]
            },
            "instanceConfig": {
                "singleNodeDeployment": False, "driverType": "driver-x-small",
                "executorType": "exec-x-small", "executorCount": 1
            },
            "restartPolicy": {"type": "Never"},
            "maxExecutionDurationSeconds": "max-execution-duration",
            "volumeId": "volume-id",
        }
    })

job_id = response["id"]
```

**Note:** `bundleId` is required. `flow` and `priority` are optional but validated against enum values if provided.

### Get jobs
```python
response = job_client.get_jobs()
```

### Get job by ID
```python
response = job_client.get_job_by_id(job_id=job_id)
```

### Get job by name
```python
response = job_client.get_job_by_name(job_name="job-name")
```

### Update job
```python
response = job_client.update_job(job_id=job_id, payload=updated_payload)
```

### Delete job
```python
response = job_client.delete_job_by_id(job_id=job_id)
```


### Submit job run
```python
response = job_client.submit_job_run(job_id=job_id, payload={})
```

### Cancel job run
```python
response = job_client.cancel_job_run(job_id=job_id, run_id=run_id)
```

### Get Job Runs
```python
response = job_client.get_job_runs(job_id=job_id)
```

### Get Job Run
```python
response = job_client.get_job_run_by_id(job_id=job_id, run_id=run_id)
```

### Get Job Run Logs
```python
response = job_client.get_job_run_logs(job_id=job_id, run_id=run_id, time_range="5m")
```
**Supported Time Range:** 5m, 15m, 30m, 1h, 3h, 6h, 12h, 24h, 2d, 7d, 14d, 30d

### Get Job Run Metrics
```python
response = job_client.get_job_run_metrics(job_id=job_id, run_id=run_id)
```
