Source code for tests.system.providers.influxdb.example_influxdb

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from __future__ import annotations

import os
from datetime import datetime

from airflow.decorators import task
from airflow.models.dag import DAG
from airflow.providers.influxdb.hooks.influxdb import InfluxDBHook


@task(task_id="influxdb_task")

[docs]def test_influxdb_hook():
    bucket_name = "test-influx"
    influxdb_hook = InfluxDBHook()
    client = influxdb_hook.get_conn()
    print(client)
    print(f"Organization name {influxdb_hook.org_name}")

    # Make sure enough permissions to create bucket.
    influxdb_hook.create_bucket(bucket_name, "Bucket to test influxdb connection", influxdb_hook.org_name)
    influxdb_hook.write(bucket_name, "test_point", "location", "Prague", "temperature", 25.3, True)

    tables = influxdb_hook.query('from(bucket:"test-influx") |> range(start: -10m)')

    for table in tables:
        print(table)
        for record in table.records:
            print(record.values)

    bucket_id = influxdb_hook.find_bucket_id_by_name(bucket_name)
    print(bucket_id)
    # Delete bucket takes bucket id.
    influxdb_hook.delete_bucket(bucket_name)




[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")


[docs]DAG_ID = "influxdb_example_dag"


with DAG(
    dag_id=DAG_ID,
    schedule=None,
    start_date=datetime(2021, 1, 1),
    max_active_runs=1,
    tags=["example"],
) as dag:
    test_influxdb_hook()

    from tests.system.utils.watcher import watcher

    # This test needs watcher in order to properly mark success/failure
    # when "tearDown" task with trigger rule is part of the DAG
    list(dag.tasks) >> watcher()

from tests.system.utils import get_test_run  # noqa: E402

# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)

[docs]test_run = get_test_run(dag)

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