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
15 lines
377 B
Python
15 lines
377 B
Python
""" entry point for K8S browser job (eg. for profile creation) """
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from .base_job import K8SJobMixin
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from ..profile_job import ProfileJob
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# =============================================================================
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class K8SProfileJob(K8SJobMixin, ProfileJob):
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""" Browser run job """
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if __name__ == "__main__":
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job = K8SProfileJob()
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job.loop.run_forever()
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