def test_read_metadata():
"""Tests reading metadata yaml file."""
nb_md, docs = read_mod_metadata(host_summary.__file__,
host_summary.__name__)
check.is_instance(nb_md, NBMetadata)
check.is_instance(docs, dict)
opts = nb_md.get_options("all")
check.is_in("heartbeat", [opt[0] for opt in opts])
check.is_in("alerts", [opt[0] for opt in opts])
for item in ("Default Options", "alerts", "azure_api"):
check.is_in(item, nb_md.options_doc)
for item in ("Default Options", "alerts", "azure_api"):
check.is_in(item, nb_md.options_doc)
import pandas as pd
from msticpy.nbtools import entities
from msticpy.common.timespan import TimeSpan
from msticnb.common import nb_print, set_text
from msticnb.notebooklet import Notebooklet, NotebookletResult, NBMetadata
from msticnb import nb_metadata
from msticnb._version import VERSION
__version__ = VERSION
__author__ = "Ian Hellen"
_CLS_METADATA: NBMetadata
_CELL_DOCS: Dict[str, Any]
_CLS_METADATA, _CELL_DOCS = nb_metadata.read_mod_metadata(__file__, __name__)
# pylint: disable=too-few-public-methods
class TstSummaryResult(NotebookletResult):
"""Test Results."""
def __init__(
self,
description: Optional[str] = None,
timespan: Optional[TimeSpan] = None,
notebooklet: Optional["Notebooklet"] = None,
):
"""
Create new Notebooklet result instance.