0c8a5a49b4
- use python-on-whale to use docker cli api directly, creating docker stack for each crawl or profile browser - configure storages via storages.yaml secret - add crawl_job, profile_job, splitting into base and k8s/swarm implementations - split manager into base crawlmanager and k8s/swarm implementations - swarm: load initial scale from db to avoid modifying fixed configs, in k8s, load from configmap - swarm: support scheduled jobs via swarm-cronjob service - remove docker dependencies (aiodocker, apscheduler, scheduling) - swarm: when using local minio, expose via /data/ route in nginx via extra include (in k8s, include dir is empty and routing handled via ingress) - k8s: cleanup minio chart: move init containers to minio.yaml - swarm: stateful set implementation to be consistent with k8s scaling: - don't use service replicas, - create a unique service with '-N' appended and allocate unique volume for each replica - allows crawl containers to be restarted w/o losing data - add volume pruning background service, as volumes can be deleted only after service shuts down fully - watch: fully simplify routing, route via replica index instead of ip for both k8s and swarm - rename network btrix-cloud-net -> btrix-net to avoid conflict with compose network
23 lines
672 B
Python
23 lines
672 B
Python
""" K8S API Access """
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from kubernetes_asyncio import client, config
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from kubernetes_asyncio.stream import WsApiClient
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from kubernetes_asyncio.client.api_client import ApiClient
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# pylint: disable=too-few-public-methods
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class K8sAPI:
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""" K8S API accessors """
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def __init__(self):
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super().__init__()
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config.load_incluster_config()
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self.client = client
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self.api_client = ApiClient()
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self.core_api = client.CoreV1Api(self.api_client)
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self.core_api_ws = client.CoreV1Api(api_client=WsApiClient())
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self.batch_api = client.BatchV1Api(self.api_client)
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self.apps_api = client.AppsV1Api(self.api_client)
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