orangeqs.juice.client.logging#

Client definitions for juice logging.

Module Contents#

Functions#

build_dataframe

Build a styled pandas dataframe from a list of log event dictionaries.

query_service_logs

Retrieve OrangeQS Juice service logs from influxdb.

Data#

LOG_HEADER

API#

orangeqs.juice.client.logging.LOG_HEADER#

‘compile(…)’

orangeqs.juice.client.logging.build_dataframe(data: list[Any]) → pandas.io.formats.style.Styler#

Build a styled pandas dataframe from a list of log event dictionaries.

orangeqs.juice.client.logging.query_service_logs(services: str | list[str] | None = None, max_count: int = 10, start: int = 3600, stop: int = 0, level: Literal[DEBUG, INFO, WARNING, ERROR, CRITICAL] = 'WARNING') → list[orangeqs.juice.schemas.logging.LogEvent]#

Retrieve OrangeQS Juice service logs from influxdb.

Parameters#

  • services: The OrangeQS Juice Services to filter

  • max_count: The number of logs counting back from the most recent entry

  • start: The start time for logs to look up, in seconds from now, default is 3600 , i.e. one hour ago

  • stop: The stop time for logs to look up, in seconds from now, default is 0 , i.e. now

  • level: The minimum log level to filter, default is “WARNING”

Returns#

  • (list[LogEvent]): List of the retrieved log entries.