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https://github.com/vale981/ray
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14dee5f6a3
This is the first PR of #25963 : 1. Moved the agent information from `internal KV to `GCSNodeInfo`, 2. raylet registers itself after the agent process finished register. Motivation: Storing agent information in `internal KV` and registering nodes in GCS (write node information to `GCSNodeInfo`) are two asynchronous operations, which will bring some complex timing problems, especially after `raylet` failover
52 lines
2.2 KiB
Python
52 lines
2.2 KiB
Python
from ray._private.ray_constants import env_integer
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DASHBOARD_LOG_FILENAME = "dashboard.log"
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DASHBOARD_AGENT_LOG_FILENAME = "dashboard_agent.log"
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DASHBOARD_AGENT_CHECK_PARENT_INTERVAL_SECONDS = 2
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RAY_STATE_SERVER_MAX_HTTP_REQUEST_ENV_NAME = "RAY_STATE_SERVER_MAX_HTTP_REQUEST"
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# Default number of in-progress requests to the state api server.
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RAY_STATE_SERVER_MAX_HTTP_REQUEST = env_integer(
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RAY_STATE_SERVER_MAX_HTTP_REQUEST_ENV_NAME, 100
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)
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# Max allowed number of in-progress requests could be configured.
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RAY_STATE_SERVER_MAX_HTTP_REQUEST_ALLOWED = 1000
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RETRY_REDIS_CONNECTION_TIMES = 10
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CONNECT_REDIS_INTERNAL_SECONDS = 2
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PURGE_DATA_INTERVAL_SECONDS = 60 * 10
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ORGANIZE_DATA_INTERVAL_SECONDS = 2
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DASHBOARD_RPC_ADDRESS = "dashboard_rpc"
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GCS_SERVER_ADDRESS = "GcsServerAddress"
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# GCS check alive
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GCS_CHECK_ALIVE_MAX_COUNT_OF_RPC_ERROR = env_integer(
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"GCS_CHECK_ALIVE_MAX_COUNT_OF_RPC_ERROR", 10
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)
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GCS_CHECK_ALIVE_INTERVAL_SECONDS = env_integer("GCS_CHECK_ALIVE_INTERVAL_SECONDS", 5)
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GCS_CHECK_ALIVE_RPC_TIMEOUT = env_integer("GCS_CHECK_ALIVE_RPC_TIMEOUT", 10)
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GCS_RETRY_CONNECT_INTERVAL_SECONDS = env_integer(
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"GCS_RETRY_CONNECT_INTERVAL_SECONDS", 2
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)
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# aiohttp_cache
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AIOHTTP_CACHE_TTL_SECONDS = 2
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AIOHTTP_CACHE_MAX_SIZE = 128
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AIOHTTP_CACHE_DISABLE_ENVIRONMENT_KEY = "RAY_DASHBOARD_NO_CACHE"
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# Named signals
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SIGNAL_NODE_INFO_FETCHED = "node_info_fetched"
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SIGNAL_NODE_SUMMARY_FETCHED = "node_summary_fetched"
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SIGNAL_JOB_INFO_FETCHED = "job_info_fetched"
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SIGNAL_WORKER_INFO_FETCHED = "worker_info_fetched"
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# Default value for datacenter (the default value in protobuf)
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DEFAULT_LANGUAGE = "PYTHON"
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DEFAULT_JOB_ID = "ffff"
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# Cache TTL for bad runtime env. After this time, delete the cache and retry to create
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# runtime env if needed.
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BAD_RUNTIME_ENV_CACHE_TTL_SECONDS = env_integer(
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"BAD_RUNTIME_ENV_CACHE_TTL_SECONDS", 60 * 10
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)
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# Hook that is invoked on the dashboard `/api/component_activities` endpoint.
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# Environment variable stored here should be a callable that does not
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# take any arguments and should return a dictionary mapping
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# activity component type (str) to
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# ray.dashboard.modules.snapshot.snapshot_head.RayActivityResponse.
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# Example: "your.module.ray_cluster_activity_hook".
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RAY_CLUSTER_ACTIVITY_HOOK = "RAY_CLUSTER_ACTIVITY_HOOK"
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