From b1d8737a7148fd1dc2b922de06288b1c75d45d59 Mon Sep 17 00:00:00 2001 From: StTysh Date: Tue, 29 Oct 2024 14:16:46 +0000 Subject: [PATCH] Refactor test methods in test_main/index.rst and main.py --- .pre-commit-config.yaml | 12 +- .../jasmin_metrics_client/main/index.rst | 19 +- .../tests/unit_tests/test_main/index.rst | 6 +- jasmin_metrics_client/main.py | 73 ++--- .../tests/unit_tests/test_main.py | 190 ++++++++--- poetry.lock | 298 ++++++++++++++++-- 6 files changed, 455 insertions(+), 143 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index fa5ac00..ca05f55 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -12,7 +12,6 @@ repos: entry: poetry run black language: system types: [ file, python ] - exclude: '/workspaces/Jasmin-Metrics-Client/jasmin-metrics-client/docs/autoapi/jasmin_metrics_client/tests/unit_tests/test_main/index\.rst' - id: isort name: isort entry: poetry run isort @@ -27,21 +26,20 @@ repos: name: bandit entry: poetry run bandit -c pyproject.toml -r . language: system - types: [ file, python, toml ] + types: [ file ] - id: xenon name: xenon entry: bash -c "poetry run xenon -a $(poetry run python -c \"import tomllib; f = open('pyproject.toml','rb') ; data = tomllib.load(f); f.close(); print(data['tool']['quality']['mccabe']['average'])\") -b $(poetry run python -c \"import tomllib; f = open('pyproject.toml','rb') ; data = tomllib.load(f); f.close(); print(data['tool']['quality']['mccabe']['block'])\") -m $(poetry run python -c \"import tomllib; f = open('pyproject.toml','rb') ; data = tomllib.load(f); f.close(); print(data['tool']['quality']['mccabe']['module'])\") . " language: system - types: [ file, python, toml ] + types: [ file] - id: mypy name: mypy # entry: poetry run mypy --no-namespace-packages --exclude Jasmin Metrics Client/models/__init__.py entry: poetry run mypy --no-namespace-packages language: system - types: [ file, python, toml ] + types: [python] - id: docs name: docs - entry: bash -c "poetry run sphinx-build -M dummy ./docs ./docs/_build -q -a -D exclude_patterns=docs/autoapi/jasmin_metrics_client/tests/unit_tests/test_main/index.rst" + entry: bash -c "poetry run sphinx-build -M dummy ./docs ./docs/_build -q -a" language: system - types_or: [ file, python, rst, toml, markdown ] - exclude: '/workspaces/Jasmin-Metrics-Client/jasmin-metrics-client/docs/autoapi/jasmin_metrics_client/tests/unit_tests/test_main/index\.rst' \ No newline at end of file + types_or: [ file, python, rst, toml, markdown ] \ No newline at end of file diff --git a/docs/autoapi/jasmin_metrics_client/main/index.rst b/docs/autoapi/jasmin_metrics_client/main/index.rst index f74ba27..442ab9a 100644 --- a/docs/autoapi/jasmin_metrics_client/main/index.rst +++ b/docs/autoapi/jasmin_metrics_client/main/index.rst @@ -4,14 +4,6 @@ jasmin_metrics_client.main .. py:module:: jasmin_metrics_client.main -Attributes ----------- - -.. autoapisummary:: - - jasmin_metrics_client.main.metrics_client - - Classes ------- @@ -23,16 +15,17 @@ Classes Module Contents --------------- -.. py:class:: MetricsClient(token=None, hosts=None) +.. py:class:: MetricsClient(token: Optional[str] = None) + + .. py:attribute:: kwargs - .. py:method:: get_all_metrics() + .. py:method:: get_all_metrics() -> Optional[List[str]] - .. py:method:: get_metric_labels(metric_name) + .. py:method:: get_metric_labels(metric_name: str) -> Optional[List[str]] - .. py:method:: get_metric(metric_name, filters=None) + .. py:method:: get_metric(metric_name: str, filters: Optional[Dict[str, Any]] = None, size: int = 10000) -> Optional[pandas.DataFrame] -.. py:data:: metrics_client diff --git a/docs/autoapi/jasmin_metrics_client/tests/unit_tests/test_main/index.rst b/docs/autoapi/jasmin_metrics_client/tests/unit_tests/test_main/index.rst index a4b7f80..e610e77 100644 --- a/docs/autoapi/jasmin_metrics_client/tests/unit_tests/test_main/index.rst +++ b/docs/autoapi/jasmin_metrics_client/tests/unit_tests/test_main/index.rst @@ -52,12 +52,12 @@ Module Contents attribute so can be configured by individual tests if required. - .. py:method:: test_get_all_metrics(mock_es_client) + .. py:method:: test_get_all_metrics(mock_search: Any) -> None - .. py:method:: test_get_metric_labels(mock_es_client) + .. py:method:: test_get_metric_labels(mock_search: Any) -> None - .. py:method:: test_get_metric(mock_es_client) + .. py:method:: test_get_metric(mock_search: Any) -> None diff --git a/jasmin_metrics_client/main.py b/jasmin_metrics_client/main.py index ab439c1..0fe7ee3 100644 --- a/jasmin_metrics_client/main.py +++ b/jasmin_metrics_client/main.py @@ -1,4 +1,5 @@ import logging +from typing import Any, Dict, List, Optional, Union import pandas as pd from ceda_elasticsearch_tools import CEDAElasticsearchClient @@ -6,17 +7,18 @@ class MetricsClient: - def __init__(self, token=None, hosts=None): + def __init__(self, token: Optional[str] = None) -> None: + kwargs = {} + if token: + kwargs["headers"] = {"Authorization": f"Bearer {token}"} try: - self.es = CEDAElasticsearchClient( - headers={"x-api-key": token} if token else {}, hosts=hosts - ) + self.es = CEDAElasticsearchClient(**kwargs) logging.info("Elasticsearch client initialized successfully.") except ElasticsearchException as e: logging.error(f"Error initializing Elasticsearch client: {str(e)}") raise e - def get_all_metrics(self): + def get_all_metrics(self) -> Optional[List[str]]: try: query = { "aggs": { @@ -29,7 +31,7 @@ def get_all_metrics(self): }, "size": 0, } - response = self.es.search(index="jasmin-metrics-production", body=query) + response = self.es.search(index="jasmin-metrics-production", query=query) return [ bucket["key"] for bucket in response["aggregations"]["unique_metrics"]["buckets"] @@ -38,19 +40,19 @@ def get_all_metrics(self): logging.error(f"Error fetching all metrics: {str(e)}") return None - def get_metric_labels(self, metric_name): + def get_metric_labels(self, metric_name: str) -> Optional[List[str]]: try: - # Get labels for a specific metric query = { "query": { "match": {"prometheus.labels.metric_name.keyword": metric_name} - } + }, + "size": 1, } - response = self.es.search(index="jasmin-metrics-production", body=query) + response = self.es.search(index="jasmin-metrics-production", query=query) if not response["hits"]["hits"]: logging.info(f"No labels found for metric: {metric_name}") return [] - # Extract unique labels from the hits + labels = set() for hit in response["hits"]["hits"]: labels.update(hit["_source"]["prometheus"]["labels"].keys()) @@ -59,10 +61,16 @@ def get_metric_labels(self, metric_name): logging.error(f"Error fetching metric labels for {metric_name}: {str(e)}") return None - def get_metric(self, metric_name, filters=None): + def get_metric( + self, + metric_name: str, + filters: Optional[Dict[str, Any]] = None, + size: int = 10000, + ) -> Optional[pd.DataFrame]: try: - # Construct the base query - query = { + + query: Dict[str, Any] = { + "size": size, "query": { "bool": { "must": [ @@ -73,10 +81,9 @@ def get_metric(self, metric_name, filters=None): } ] } - } + }, } - # Apply filters if provided if filters: if "labels" in filters: for key, value in filters["labels"].items(): @@ -96,10 +103,9 @@ def get_metric(self, metric_name, filters=None): } ] - response = self.es.search(index="jasmin-metrics-production", body=query) + response = self.es.search(index="jasmin-metrics-production", query=query) - # Convert the response to a Pandas DataFrame - data = [] + data: List[Dict[str, Union[str, float]]] = [] for hit in response["hits"]["hits"]: timestamp = hit["_source"]["@timestamp"] value = hit["_source"]["prometheus"]["metrics"].get(metric_name) @@ -109,32 +115,3 @@ def get_metric(self, metric_name, filters=None): except ElasticsearchException as e: logging.error(f"Error fetching metric {metric_name}: {str(e)}") return None - - -# Example usage (just for demonstration, not part of the client): -if __name__ == "__main__": - # Setup logging - logging.basicConfig(level=logging.INFO) - - metrics_client = MetricsClient(token="your_api_key") - - # Get all metrics - metrics = metrics_client.get_all_metrics() - if metrics: - print("Available Metrics:", metrics) - - # Get labels for a specific metric - labels = metrics_client.get_metric_labels("storage_tape_provisioned") - if labels: - print("Labels for storage_tape_provisioned:", labels) - - # Get metric data with filters - df = metrics_client.get_metric( - "storage_tape_provisioned", - filters={ - "labels": {"consortium": "atmos"}, - "time": {"start": "2024-09-01T00:00:00Z", "end": "latest"}, - }, - ) - if df is not None: - print(df) diff --git a/jasmin_metrics_client/tests/unit_tests/test_main.py b/jasmin_metrics_client/tests/unit_tests/test_main.py index d01e85a..bd11a53 100644 --- a/jasmin_metrics_client/tests/unit_tests/test_main.py +++ b/jasmin_metrics_client/tests/unit_tests/test_main.py @@ -1,4 +1,5 @@ import unittest +from typing import Any, List from unittest.mock import patch import pandas as pd @@ -7,13 +8,19 @@ class TestMetricsClient(unittest.TestCase): - - @patch("ceda_elasticsearch_tools.CEDAElasticsearchClient") - def test_get_all_metrics(self, mock_es_client): - mock_es_client().search.return_value = { + @patch("ceda_elasticsearch_tools.CEDAElasticsearchClient.search") + def test_get_all_metrics(self, mock_search: Any) -> None: + mock_search.return_value = { "aggregations": { "unique_metrics": { - "buckets": [{"key": "metric_1"}, {"key": "metric_2"}] + "doc_count_error_upper_bound": 0, + "sum_other_doc_count": 0, + "buckets": [ + {"key": "power_total_inst", "doc_count": 2931142}, + {"key": "power_total_hour_avg", "doc_count": 2930399}, + {"key": "storage_SOF_provisioned", "doc_count": 147355}, + {"key": "storage_SOF_used", "doc_count": 146829}, + ], } } } @@ -21,68 +28,173 @@ def test_get_all_metrics(self, mock_es_client): client = MetricsClient() metrics = client.get_all_metrics() + metrics = metrics or [] self.assertIsInstance(metrics, list) - self.assertIn("metric_1", metrics) - self.assertIn("metric_2", metrics) - @patch("ceda_elasticsearch_tools.CEDAElasticsearchClient") - def test_get_metric_labels(self, mock_es_client): - mock_es_client().search.return_value = { + self.assertIn("power_total_inst", metrics) + self.assertIn("power_total_hour_avg", metrics) + self.assertIn("storage_SOF_provisioned", metrics) + self.assertIn("storage_SOF_used", metrics) + mock_search.assert_called_once_with( + index="jasmin-metrics-production", + query={ + "aggs": { + "unique_metrics": { + "terms": { + "field": "prometheus.labels.metric_name.keyword", + "size": 1000, + } + } + }, + "size": 0, + }, + ) + + @patch("ceda_elasticsearch_tools.CEDAElasticsearchClient.search") + def test_get_metric_labels(self, mock_search: Any) -> None: + mock_search.return_value = { "hits": { + "total": {"value": 10000, "relation": "gte"}, + "max_score": 0.84420943, "hits": [ { + "_index": "jasmin-metrics-production", + "_type": "_doc", + "_id": "D_BKzpIBbfepjNJtMfZ5", + "_score": 0.84420943, "_source": { + "@timestamp": "2024-10-27T14:03:13Z", "prometheus": { - "labels": {"label_1": "val_1", "label_2": "val_2"} - } - } - }, - {"_source": {"prometheus": {"labels": {"label_3": "val_3"}}}}, - ] + "metrics": {"power_total_inst": 5200.0}, + "labels": { + "metric_name": "power_total_inst", + "pdu": "pdu071.jasmin", + "rack": "12", + "rack_phase": "7", + "rack_role": "Storage", + "rack_tag": "['storage_type:sof']", + }, + }, + }, + } + ], } } client = MetricsClient() - labels = client.get_metric_labels("storage_tape_provisioned") - + labels: List[str] = client.get_metric_labels("power_total_inst") or [] + expected_labels = [ + "metric_name", + "pdu", + "rack", + "rack_phase", + "rack_role", + "rack_tag", + ] + self.assertIsNotNone(labels) self.assertIsInstance(labels, list) - self.assertIn("label_1", labels) - self.assertIn("label_2", labels) - self.assertIn("label_3", labels) + for label in expected_labels: + self.assertIn(label, labels) + mock_search.assert_called_once_with( + index="jasmin-metrics-production", + query={ + "query": { + "match": { + "prometheus.labels.metric_name.keyword": "power_total_inst" + } + }, + "size": 1, + }, + ) - @patch("ceda_elasticsearch_tools.CEDAElasticsearchClient") - def test_get_metric(self, mock_es_client): - mock_es_client().search.return_value = { + @patch("ceda_elasticsearch_tools.CEDAElasticsearchClient.search") + def test_get_metric(self, mock_search: Any) -> None: + mock_search.return_value = { "hits": { + "total": {"value": 105, "relation": "eq"}, + "max_score": 4.956992, "hits": [ { "_source": { - "@timestamp": "2024-09-01T00:00:00Z", + "@timestamp": "2024-10-28T05:03:14Z", "prometheus": { - "metrics": {"storage_tape_provisioned": 100} + "metrics": {"power_total_inst": 5100.0}, + "labels": { + "metric_name": "power_total_inst", + "rack": "12", + "pdu": "pdu071.jasmin", + }, }, - } + }, }, { "_source": { - "@timestamp": "2024-09-02T00:00:00Z", + "@timestamp": "2024-10-28T05:03:14Z", "prometheus": { - "metrics": {"storage_tape_provisioned": 200} + "metrics": {"power_total_inst": 2670.0}, + "labels": { + "metric_name": "power_total_inst", + "rack": "12", + "pdu": "pdu072.jasmin", + }, }, - } + }, }, - ] + { + "_source": { + "@timestamp": "2024-10-28T05:03:14Z", + "prometheus": { + "metrics": {"power_total_inst": 200.0}, + "labels": { + "metric_name": "power_total_inst", + "rack": "12", + "pdu": "pdu073.jasmin", + }, + }, + }, + }, + ], } } client = MetricsClient() - df = client.get_metric("storage_tape_provisioned") - - self.assertIsInstance(df, pd.DataFrame) - self.assertEqual(len(df), 2) - self.assertEqual(df["value"].iloc[0], 100) - self.assertEqual(df["value"].iloc[1], 200) + metric_name = "power_total_inst" + filters = { + "labels": {"rack": "12"}, + "time": {"start": "now-1d/d", "end": "now"}, + } + result = client.get_metric(metric_name, filters) + expected_data = pd.DataFrame( + [ + {"timestamp": "2024-10-28T05:03:14Z", "value": 5100.0}, + {"timestamp": "2024-10-28T05:03:14Z", "value": 2670.0}, + {"timestamp": "2024-10-28T05:03:14Z", "value": 200.0}, + ] + ) + self.assertIsNotNone(result) + pd.testing.assert_frame_equal(result, expected_data) + mock_search.assert_called_once_with( + index="jasmin-metrics-production", + query={ + "size": 10000, + "query": { + "bool": { + "must": [ + { + "match": { + "prometheus.labels.metric_name.keyword": "power_total_inst" + } + }, + {"match": {"prometheus.labels.rack.keyword": "12"}}, + ], + "filter": [ + {"range": {"@timestamp": {"gte": "now-1d/d", "lte": "now"}}} + ], + } + }, + }, + ) -if __name__ == "__main__": - unittest.main() + if __name__ == "__main__": + unittest.main() diff --git a/poetry.lock b/poetry.lock index d35899b..1f90a10 100644 --- a/poetry.lock +++ b/poetry.lock @@ -122,24 +122,32 @@ uvloop = ["uvloop (>=0.15.2)"] [[package]] name = "ceda-elasticsearch-tools" -version = "2.3.4" +version = "2.4.0" description = "Extension of the basic elasticsearch python wrapper to perform operations with a given ES index." optional = false -python-versions = "*" +python-versions = ">=3.8,<4.0" files = [] develop = false [package.dependencies] -docopt = "*" -elasticsearch = "<8.0.0" -requests = "*" -tqdm = "*" +certifi = "^2024.8.30" +chardet = "^5.2.0" +docopt = "^0.6.2" +elasticsearch = "^7" +idna = "^3.10" +pytest = "^8.3.3" +requests = "^2.32.3" +setuptools = "^75.2.0" +simplejson = "^3.19.3" +tabulate = "^0.9.0" +tqdm = "^4.66.5" +urllib3 = "^2.2.3" [package.source] type = "git" url = "https://github.com/cedadev/ceda-elasticsearch-tools.git" reference = "HEAD" -resolved_reference = "d365338d7243d1bff2a1266c2129ce72a79b2af1" +resolved_reference = "3aa3dca05632ce05ba8a503b2d49980128354407" [[package]] name = "certifi" @@ -163,6 +171,17 @@ files = [ {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"}, ] +[[package]] +name = "chardet" +version = "5.2.0" +description = "Universal encoding detector for Python 3" +optional = false +python-versions = ">=3.7" +files = [ + {file = "chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970"}, + {file = "chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7"}, +] + [[package]] name = "charset-normalizer" version = "3.4.0" @@ -413,25 +432,39 @@ files = [ [[package]] name = "elasticsearch" -version = "7.17.12" +version = "7.9.1" description = "Python client for Elasticsearch" optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,<4,>=2.7" +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, <4" files = [ - {file = "elasticsearch-7.17.12-py2.py3-none-any.whl", hash = "sha256:468fd5eef703c0d9238e29bcaf3a6fe4d6b092f917959fbf41f48f8fea3df2f8"}, - {file = "elasticsearch-7.17.12.tar.gz", hash = "sha256:a1f5733ae8cf1dbf0a78593389f2503c87dd97429976099832bf0626cdfaac8b"}, + {file = "elasticsearch-7.9.1-py2.py3-none-any.whl", hash = "sha256:8c7e2374f53ee1b891ff2804116e0c7fb517585d6d5788ba668686bbc9d82e2d"}, + {file = "elasticsearch-7.9.1.tar.gz", hash = "sha256:5e08776fbb30c6e92408c7fa8c37d939210d291475ae2f364f0497975918b6fe"}, ] [package.dependencies] certifi = "*" -urllib3 = ">=1.21.1,<2" +urllib3 = ">=1.21.1" [package.extras] -async = ["aiohttp (>=3,<4)"] +async = ["aiohttp (>=3,<4)", "yarl"] develop = ["black", "coverage", "jinja2", "mock", "pytest", "pytest-cov", "pyyaml", "requests (>=2.0.0,<3.0.0)", "sphinx (<1.7)", "sphinx-rtd-theme"] docs = ["sphinx (<1.7)", "sphinx-rtd-theme"] requests = ["requests (>=2.4.0,<3.0.0)"] +[[package]] +name = "exceptiongroup" +version = "1.2.2" +description = "Backport of PEP 654 (exception groups)" +optional = false +python-versions = ">=3.7" +files = [ + {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"}, + {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"}, +] + +[package.extras] +test = ["pytest (>=6)"] + [[package]] name = "filelock" version = "3.16.1" @@ -529,6 +562,17 @@ perf = ["ipython"] test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"] type = ["pytest-mypy"] +[[package]] +name = "iniconfig" +version = "2.0.0" +description = "brain-dead simple config-ini parsing" +optional = false +python-versions = ">=3.7" +files = [ + {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"}, + {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, +] + [[package]] name = "isort" version = "5.13.2" @@ -1030,6 +1074,21 @@ docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.0.2)", "sphinx-a test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"] type = ["mypy (>=1.11.2)"] +[[package]] +name = "pluggy" +version = "1.5.0" +description = "plugin and hook calling mechanisms for python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, +] + +[package.extras] +dev = 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