55d4aa5a9f
Right now we depend on Kibana to do our comparisons. This will give the user a CLI mechansim to compare two different browbeat runs. + Small fix to browbeat metadata comparsion to not query _all + Changing how the metadata comparsion is displayed Change-Id: I3881486100c91dcf3cc4eeeb4ddfa532ff01a7f1
57 lines
2.0 KiB
Python
57 lines
2.0 KiB
Python
# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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import yaml
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from pykwalify import core as pykwalify_core
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from pykwalify import errors as pykwalify_errors
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from browbeat.path import conf_schema_path
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_logger = logging.getLogger("browbeat.config")
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def load_browbeat_config(path):
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"""Loads and validates an entire Browbeat config per the expected schema.
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:param path: The path to the Browbeat Config file
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"""
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with open(path, "r") as config_file:
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browbeat_config = yaml.safe_load(config_file)
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_logger.debug("Browbeat config {} yaml loaded".format(path))
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# Validate base config for Browbeat format
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_validate_yaml("browbeat", browbeat_config)
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_logger.info("Config {} validated".format(path))
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# Validate per-workloads
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for workload in browbeat_config["workloads"]:
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_validate_yaml(workload["type"], workload)
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_logger.debug("Workload {} validated as {}".format(workload["name"], workload["type"]))
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return browbeat_config
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def _validate_yaml(schema, config):
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"""Raises exception if config is invalid.
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:param schema: The schema to validate with (browbeat, perfkit, rally...)
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:param config: Loaded yaml to validate
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"""
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check = pykwalify_core.Core(
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source_data=config, schema_files=["{}/{}.yml".format(conf_schema_path, schema)])
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try:
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check.validate(raise_exception=True)
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except pykwalify_errors.SchemaError as e:
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_logger.error("Schema validation failed")
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raise Exception("File does not conform to {} schema: {}".format(schema, e))
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