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dt - Dynatrace Python API Client

dt is a Python client for the Dynatrace Rest API.
It focuses on ease of use and nice type hints, perfect to explore the API and create quick scripts

Install

$ pip install dt

Simple Demo

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 dynatrace.configuration_v1.credential_vault import PublicCertificateCredentials
from dynatrace.environment_v2.settings import SettingsObject, SettingsObjectCreate

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 )

# Create a client with a custom HTTP timeout of 10 seconds
# dt = Dynatrace("environment_url", "api_token", timeout=10 )


# 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)

# Upload a public PEM certificate to the Credential Vault
with open("ca.pem", "r") as f:
    ca_cert = f.read()

my_cred = PublicCertificateCredentials(
    name="my_cred",
    description="my_cred description",
    scope="EXTENSION",
    owner_access_only=False,
    certificate=ca_cert,
    password="",
    credential_type="PUBLIC_CERTIFICATE",
    certificate_format="PEM"
)

r = dt.credentials.post(my_cred)
print(r.id)

# Create a new settings 2.0 object
settings_value = {
    "enabled": True,
    "summary": "DT API TEST 1",
    "queryDefinition": {
        "type": "METRIC_KEY",
        "metricKey": "netapp.ontap.node.fru.state",
        "aggregation": "AVG",
        "entityFilter": {
            "dimensionKey": "dt.entity.netapp_ontap:fru",
            "conditions": [],
        },
        "dimensionFilter": [],
    },
    "modelProperties": {
        "type": "STATIC_THRESHOLD",
        "threshold": 100.0,
        "alertOnNoData": False,
        "alertCondition": "BELOW",
        "violatingSamples": 3,
        "samples": 5,
        "dealertingSamples": 5,
    },
    "eventTemplate": {
        "title": "OnTap {dims:type} {dims:fru_id} is in Error State",
        "description": "OnTap field replaceable unit (FRU) {dims:type} with id {dims:fru_id} on node {dims:node} in cluster {dims:cluster} is in an error state.\n",
        "eventType": "RESOURCE",
        "davisMerge": True,
        "metadata": [],
    },
    "eventEntityDimensionKey": "dt.entity.netapp_ontap:fru",
}

settings_object = SettingsObjectCreate(schema_id="builtin:anomaly-detection.metric-events", value=settings_value, scope="environment")
dt.settings.create_object(validate_only=False, body=settings_object)

Implementation Progress

Environment API V2

API Level Access
Access Tokens - API tokens ✔️ dt.tokens
Access tokens - Tenant tokens ✔️ dt.tenant_tokens
ActiveGates ✔️ dt.activegates
ActiveGates - Auto-update configuration ✔️ dt.activegates_autoupdate_configuration
ActiveGates - Auto-update jobs ✔️ dt.activegates_autoupdate_jobs
Audit Logs ✔️ dt.audit_logs
Events ⚠️ dt.events_v2
Extensions 2.0 ✔️ dt.extensions_v2
Logs ⚠️ dt.logs
Metrics ✔️ dt.metrics
Monitored entities ⚠️ dt.entities
Monitored entities - Custom tags ✔️ dt.custom_tags
Network zones ⚠️ dt.network_zones
Problems ✔️ dt.problems
Security problems
Service-level objectives ✔️ dt.slos
Settings ⚠️ dt.settings

Environment API V1

API Level Access
Anonymization
Cluster time ✔️ dt.cluster_time
Cluster version
Custom devices ✔️ dt.custom_devices
Deployment ✔️ dt.deployment
Events ⚠️ dt.events
JavaScript tag management
Log monitoring - Custom devices
Log monitoring - Hosts
Log monitoring - Process groups
Maintenance window
OneAgent on a host ⚠️ dt.oneagents
Problem
Synthetic - Locations and nodes
Synthetic - Monitors ⚠️ dt.synthetic_monitors
Synthetic - Third party ✔️ dt.third_part_synthetic_tests
Threshold
Timeseries ⚠️ dt.timeseries
Tokens
Topology & Smartscape - Application
Topology & Smartscape - Custom device ⚠️ dt.custom_devices
Topology & Smartscape - Host ⚠️ dt.smartscape_hosts
Topology & Smartscape - Process
Topology & Smartscape - Process group
Topology & Smartscape - Service
User sessions

Configuration API V1

API Level Access
Alerting Profiles ⚠️ dt.alerting_profiles
Anomaly detection - Applications
Anomaly detection - AWS
Anomaly detection - Database services
Anomaly detection - Disk events
Anomaly detection - Hosts
Anomaly detection - Metric events ⚠️ dt.anomaly_detection_metric_events
Anomaly detection - Process groups ⚠️ dt.anomaly_detection_process_groups
Anomaly detection - Services
Anomaly detection - VMware
Automatically applied tags ⚠️ dt.auto_tags
AWS credentials configuration
AWS PrivateLink
Azure credentials configuration
Calculated metrics - Log monitoring
Calculated metrics - Mobile & custom applications
Calculated metrics - Services
Calculated metrics - Synthetic
Calculated metrics - Web applications
Cloud Foundry credentials configuration
Conditional naming
Credential vault
Custom tags ✔️ dt.custom_tags
Dashboards ⚠️ dt.dashboards
Data privacy and security
Extensions ✔️ dt.extensions
Frequent issue detection
Kubernetes credentials configuration
Maintenance windows ⚠️ dt.maintenance_windows
Management zones ⚠️ dt.management_zones
Notifications ⚠️ dt.notifications
OneAgent - Environment-wide configuration ✔️ dt.oneagents_config_environment
OneAgent in a host group ✔️ dt.oneagents_config_hostgroup
OneAgent on a host ✔️ dt.oneagents_config_host
Plugins ⚠️ dt.plugins
Remote environments
Reports
RUM - Allowed beacon origins for CORS
RUM - Application detection rules
RUM - Application detection rules - Host detection
RUM - Content resources
RUM - Geographic regions - custom client IP headers
RUM - Geographic regions - IP address mapping
RUM - Mobile and custom application configuration
RUM - Web application configuration
Service - Custom services
Service - Detection full web request
Service - Detection full web service
Service - Detection opaque and external web request
Service - Detection opaque and external web service
Service - Failure detection parameter sets
Service - Failure detection rules
Service - IBM MQ tracing
Service - Request attributes
Service - Request naming