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from .base_report_backend import BaseReportBackend |
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from ..elasticsearch_storage import ElasticsearchStorage |
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3
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4
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5
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class ElasticReportBackend(BaseReportBackend): |
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def __init__(self, config): |
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self.elasticsearch_hosts = config.getoption("benchmark_elasticsearch_hosts") |
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8
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self.elasticsearch_index = config.getoption("benchmark_elasticsearch_index") |
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9
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self.elasticsearch_doctype = config.getoption("benchmark_elasticsearch_doctype") |
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self.project_name = config.getoption("benchmark_project_name") |
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super(ElasticReportBackend, self).__init__(config) |
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self.storage = ElasticsearchStorage(self.elasticsearch_hosts, |
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self.elasticsearch_index, |
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self.elasticsearch_doctype, |
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self.logger, |
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default_machine_id=self.machine_id) |
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18
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def _save(self, output_json, save): |
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output_benchmarks = output_json.pop("benchmarks") |
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for bench in output_benchmarks: |
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# add top level info from output_json dict to each record |
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bench.update(output_json) |
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doc_id = "%s_%s" % (save, bench["fullname"]) |
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self.storage.save(bench, doc_id) |
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self.logger.info("Saved benchmark data to %s to index %s as doctype %s" % |
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( |
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self.elasticsearch_hosts, |
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self.elasticsearch_index, |
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self.elasticsearch_doctype |
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) |
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) |
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def _load(self, id_prefix=None): |
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return self.storage.load(self.project_name, id_prefix) |
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ionelmc /
pytest-benchmark
