Claude
5c7dcf57cc
- common/logging.py: improve format to timestamp|LEVEL|module:func:line - message - core/ layer: DEBUG log every subprocess invocation (cmd, rc, byte counts), JSON load/dump events, parsed application_id. ERROR log on failures. - tools/ layer: DEBUG log every public tool entry with key parameters, INFO log on business outcomes (saved/submitted/killed/...). - New tests/unit/test_logging.py: capture loguru output via in-memory sink and assert DEBUG + INFO messages are emitted for representative flows.
53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
# coding=utf-8
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"""
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@Time :2026/6/24
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@Author :tao.chen
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"""
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from common.logging import logger
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from spark_executor.core.connection_store import ConnectionStore, store
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from spark_executor.models import Connection
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def save_connection(
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*,
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name: str,
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master: str,
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deploy_mode: str = "cluster",
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yarn_rm_url: str | None = None,
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spark_conf: dict[str, str] | None = None,
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) -> dict[str, str]:
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logger.debug(
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f"save_connection enter name={name} master={master} deploy_mode={deploy_mode} "
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f"yarn_rm_url={yarn_rm_url} spark_conf_keys={list((spark_conf or {}).keys())}"
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)
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conn = Connection(
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name=name,
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master=master,
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deploy_mode=deploy_mode,
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yarn_rm_url=yarn_rm_url,
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spark_conf=spark_conf or {},
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)
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store.save(conn)
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return {"name": name, "status": "SAVED"}
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def list_connections() -> list[dict[str, object]]:
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logger.debug("list_connections enter")
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return [c.model_dump() for c in store.list_all()]
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def get_connection(name: str) -> dict[str, object]:
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logger.debug(f"get_connection enter name={name}")
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conn = store.get(name)
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if conn is None:
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raise KeyError(f"Unknown connection: {name}")
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return conn.model_dump()
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def delete_connection(name: str) -> dict[str, str]:
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logger.debug(f"delete_connection enter name={name}")
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removed = store.delete(name)
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if not removed:
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raise KeyError(f"Unknown connection: {name}")
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return {"name": name, "status": "DELETED"}
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