from dynatrace import Dynatrace
from dynatrace import TOO_MANY_REQUESTS_WAIT
from dynatrace.environment_v2.tokens_api import SCOPE_METRICS_READ, SCOPE_METRICS_INGEST

from datetime import datetime, timedelta

# Create a Dynatrace client
dt = Dynatrace("environment_url", "api_token")

# Create a client that handles too many requests (429)
# dt = Dynatrace("environment_url", "api_token", too_many_requests_strategy=TOO_MANY_REQUESTS_WAIT )

# Create a client that automatically retries on errors, up to 5 times, with a 1 second delay between retries
# dt = Dynatrace("environment_url", "api_token", retries=5, retry_delay_ms=1000 )


# Get all hosts and some properties
for entity in dt.entities.list('type("HOST")', fields="properties.memoryTotal,properties.monitoringMode"):
    print(entity.entity_id, entity.display_name, entity.properties)

# Get idle CPU for all hosts
for metric in dt.metrics.query("builtin:host.cpu.idle", resolution="Inf"):
    print(metric)

# Print dimensions, timestamp and values for the AWS Billing Metric
for metric in dt.metrics.query("ext:cloud.aws.billing.estimatedChargesByRegionCurrency"):
    for data in metric.data:
        for timestamp, value in zip(data.timestamps, data.values):
            print(data.dimensions, timestamp, value)

# Get all ActiveGates
for ag in dt.activegates.list():
    print(ag)

# Get metric descriptions for all host metrics
for m in dt.metrics.list("builtin:host.*"):
    print(m)

# Delete endpoints that contain the word test
for plugin in dt.plugins.list():

    # This could also be dt.get_endpoints(plugin.id)
    for endpoint in plugin.endpoints:
        if "test" in endpoint.name:
            endpoint.delete(plugin.id)

# Prints dashboard ID, owner and number of tiles
for dashboard in dt.dashboards.list():
    full_dashboard = dashboard.get_full_dashboard()
    print(full_dashboard.id, dashboard.owner, len(full_dashboard.tiles))

# Delete API Tokens that haven't been used for more than 3 months
for token in dt.tokens.list(fields="+lastUsedDate,+scopes"):
    if token.last_used_date and token.last_used_date < datetime.now() - timedelta(days=90):
        print(f"Deleting token! {token}, last used date: {token.last_used_date}")

# Create an API Token that can read and ingest metrics
new_token = dt.tokens.create("metrics_token", scopes=[SCOPE_METRICS_READ, SCOPE_METRICS_INGEST])
print(new_token.token)