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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,298 @@ | ||
| import datetime | ||
|
|
||
| try: | ||
| import elasticsearch.serializer | ||
|
|
||
| import uuid | ||
| from datetime import date, datetime | ||
| from decimal import Decimal | ||
|
|
||
| class SaveElasticsearchJSONSerializer(elasticsearch.serializer.JSONSerializer): | ||
| def default(self, data): | ||
| if isinstance(data, (date, datetime)): | ||
| return data.isoformat() | ||
| elif isinstance(data, Decimal): | ||
| return float(data) | ||
| elif isinstance(data, uuid.UUID): | ||
| return str(data) | ||
| else: | ||
| return "UNSERIALIZABLE[%r]" % data | ||
|
|
||
| except ImportError as exc: | ||
| SaveElasticsearchJSONSerializer = None | ||
|
|
||
|
|
||
| class ElasticsearchStorage(object): | ||
| def __init__(self, elasticsearch_hosts, elasticsearch_index, elasticsearch_doctype, logger, | ||
| default_machine_id=None): | ||
| try: | ||
| import elasticsearch | ||
| except ImportError as exc: | ||
| raise ImportError(exc.args, "Please install elasticsearch or pytest-benchmark[elasticsearch]") | ||
| self._elasticsearch_hosts = elasticsearch_hosts | ||
| self._elasticsearch_index = elasticsearch_index | ||
| self._elasticsearch_doctype = elasticsearch_doctype | ||
| self._elasticsearch = elasticsearch.Elasticsearch(self._elasticsearch_hosts, serializer=SaveElasticsearchJSONSerializer()) | ||
| self.default_machine_id = default_machine_id | ||
| self.logger = logger | ||
| self._cache = {} | ||
| self._create_index() | ||
|
|
||
| def __str__(self): | ||
| return str(self._elasticsearch_hosts) | ||
|
|
||
| @property | ||
| def location(self): | ||
| return str(self._elasticsearch_hosts) | ||
|
|
||
| def query(self, project): | ||
| """ | ||
| Returns sorted records names (ids) that corresponds with project. | ||
| """ | ||
| return [commit_and_time for commit_and_time, _ in self.load(project)] | ||
|
|
||
| def load(self, project, id_prefix=None): | ||
| """ | ||
| Yield key and content of records that corresponds with project name. | ||
| """ | ||
| r = self._search(project, id_prefix) | ||
| groupped_data = self._group_by_commit_and_time(r["hits"]["hits"]) | ||
| result = [(key, value) for key, value in groupped_data.items()] | ||
| result.sort(key=lambda x: datetime.datetime.strptime(x[1]["datetime"], "%Y-%m-%dT%H:%M:%S.%f")) | ||
| for key, data in result: | ||
| yield key, data | ||
|
|
||
| def _search(self, project, id_prefix=None): | ||
| body = { | ||
| "size": 1000, | ||
| "sort": [ | ||
| { | ||
| "datetime": { | ||
| "order": "desc" | ||
| } | ||
| } | ||
| ], | ||
| "query": { | ||
| "bool": { | ||
| "filter": { | ||
| "term": { | ||
| "commit_info.project": project | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| if id_prefix: | ||
| body["query"]["bool"]["must"] = { | ||
| "prefix": { | ||
| "_id": id_prefix | ||
| } | ||
| } | ||
|
|
||
| return self._elasticsearch.search(index=self._elasticsearch_index, | ||
| doc_type=self._elasticsearch_doctype, | ||
| body=body) | ||
|
|
||
| @staticmethod | ||
| def _benchmark_from_es_record(source_es_record): | ||
| result = {} | ||
| for benchmark_key in ("group", "stats", "options", "param", "name", "params", "fullname"): | ||
| result[benchmark_key] = source_es_record[benchmark_key] | ||
| return result | ||
|
|
||
| @staticmethod | ||
| def _run_info_from_es_record(source_es_record): | ||
| result = {} | ||
| for run_key in ("machine_info", "commit_info", "datetime", "version"): | ||
| result[run_key] = source_es_record[run_key] | ||
| return result | ||
|
|
||
| def _group_by_commit_and_time(self, hits): | ||
| result = {} | ||
| for hit in hits: | ||
| source_hit = hit["_source"] | ||
| key = "%s_%s" % (source_hit["commit_info"]["id"], source_hit["datetime"]) | ||
| benchmark = self._benchmark_from_es_record(source_hit) | ||
| if key in result: | ||
| result[key]["benchmarks"].append(benchmark) | ||
| else: | ||
| run_info = self._run_info_from_es_record(source_hit) | ||
| run_info["benchmarks"] = [benchmark] | ||
| result[key] = run_info | ||
| return result | ||
|
|
||
| def load_benchmarks(self, project): | ||
| """ | ||
| Yield benchmarks that corresponds with project. Put path and | ||
| source (uncommon part of path) to benchmark dict. | ||
| """ | ||
| r = self._search(project) | ||
| for hit in r["hits"]["hits"]: | ||
| yield self._benchmark_from_es_record(hit["_source"]) | ||
|
|
||
| def save(self, document, document_id): | ||
| self._elasticsearch.index( | ||
| index=self._elasticsearch_index, | ||
| doc_type=self._elasticsearch_doctype, | ||
| body=document, | ||
| id=document_id, | ||
| ) | ||
|
|
||
| def _create_index(self): | ||
| mapping = { | ||
| "mappings": { | ||
| "benchmark": { | ||
| "properties": { | ||
| "commit_info": { | ||
| "properties": { | ||
| "dirty": { | ||
| "type": "boolean" | ||
| }, | ||
| "id": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
|
|
||
| }, | ||
| "project": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| } | ||
| } | ||
| }, | ||
| "datetime": { | ||
| "type": "date", | ||
| "format": "strict_date_optional_time||epoch_millis" | ||
| }, | ||
| "name": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| }, | ||
| "fullname": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| }, | ||
| "version": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| }, | ||
| "machine_info": { | ||
| "properties": { | ||
| "machine": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| }, | ||
| "node": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| }, | ||
| "processor": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| }, | ||
| "python_build": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| }, | ||
| "python_compiler": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| }, | ||
| "python_implementation": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| }, | ||
| "python_implementation_version": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| }, | ||
| "python_version": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| }, | ||
| "release": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| }, | ||
| "system": { | ||
| "type": "string", | ||
| "index": "not_analyzed" | ||
| } | ||
| } | ||
| }, | ||
| "options": { | ||
| "properties": { | ||
| "disable_gc": { | ||
| "type": "boolean" | ||
| }, | ||
| "max_time": { | ||
| "type": "double" | ||
| }, | ||
| "min_rounds": { | ||
| "type": "long" | ||
| }, | ||
| "min_time": { | ||
| "type": "double" | ||
| }, | ||
| "timer": { | ||
| "type": "string" | ||
| }, | ||
| "warmup": { | ||
| "type": "boolean" | ||
| } | ||
| } | ||
| }, | ||
| "stats": { | ||
| "properties": { | ||
| "hd15iqr": { | ||
| "type": "double" | ||
| }, | ||
| "iqr": { | ||
| "type": "double" | ||
| }, | ||
| "iqr_outliers": { | ||
| "type": "long" | ||
| }, | ||
| "iterations": { | ||
| "type": "long" | ||
| }, | ||
| "ld15iqr": { | ||
| "type": "double" | ||
| }, | ||
| "max": { | ||
| "type": "double" | ||
| }, | ||
| "mean": { | ||
| "type": "double" | ||
| }, | ||
| "median": { | ||
| "type": "double" | ||
| }, | ||
| "min": { | ||
| "type": "double" | ||
| }, | ||
| "outliers": { | ||
| "type": "string" | ||
| }, | ||
| "q1": { | ||
| "type": "double" | ||
| }, | ||
| "q3": { | ||
| "type": "double" | ||
| }, | ||
| "rounds": { | ||
| "type": "long" | ||
| }, | ||
| "stddev": { | ||
| "type": "double" | ||
| }, | ||
| "stddev_outliers": { | ||
| "type": "long" | ||
| } | ||
| } | ||
| }, | ||
| } | ||
| } | ||
| } | ||
| } | ||
| self._elasticsearch.indices.create(index=self._elasticsearch_index, ignore=400, body=mapping) | ||
|
|
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