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* Adding support to upload performance kpi data to opensearch (#1331) * Fixed the environment issue in CI (#1335) * Added metadata with performance kpi data upload (#1363) Signed-off-by: Pavel Macík <[email protected]> Signed-off-by: Pavel Macík <[email protected]> Co-authored-by: Sushanta Das <[email protected]>
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| Original file line number | Diff line number | Diff line change |
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| boto3==1.23.10 | ||
| botocore==1.26.10 | ||
| requests==2.27.1 | ||
| opensearch-py==2.0.1 | ||
| PyYAML==6.0 |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,185 @@ | ||
| """ | ||
| Python Module to interact with aws opensearch instance | ||
| """ | ||
|
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| import os | ||
| import string | ||
| import random | ||
| from datetime import datetime | ||
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| import yaml | ||
| import boto3 | ||
| from opensearchpy import OpenSearch, RequestsHttpConnection, AWSV4SignerAuth | ||
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| def create_index(os_client, index_name, number_of_shards=4): | ||
| """ Method to create index in opensearch instance """ | ||
| index_body = { | ||
| 'settings': { | ||
| 'index': { | ||
| 'number_of_shards': number_of_shards | ||
| } | ||
| } | ||
| } | ||
| response = os_client.indices.create(index_name, body=index_body) | ||
| print('\nCreating index:') | ||
| print(response) | ||
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| def delete_index(os_client, index_name): | ||
| """ Method to delete index from opensearch instance """ | ||
| response = os_client.indices.delete( | ||
| index=index_name | ||
| ) | ||
| print('\nDeleting index:') | ||
| print(response) | ||
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| def add_document_to_index(os_client, index_name, doc_id, document): | ||
| """ Add a document to the index """ | ||
| response = os_client.index( | ||
| index=index_name, | ||
| body=document, | ||
| id=doc_id, | ||
| refresh=True | ||
| ) | ||
| print('\nAdding document:') | ||
| print(response) | ||
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| def delete_a_document(os_client, index_name, doc_id): | ||
| """ Delete a document from index """ | ||
| response = os_client.delete( | ||
| index=index_name, | ||
| id=doc_id | ||
| ) | ||
| print('\nDeleting document:') | ||
| print(response) | ||
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| def search_document(os_client, index_name): | ||
| """ Sample search for the document """ | ||
| qval = 'miller' | ||
| query = { | ||
| 'size': 5, | ||
| 'query': { | ||
| 'multi_match': { | ||
| 'query': qval, | ||
| 'fields': ['title^2', 'director'] | ||
| } | ||
| } | ||
| } | ||
| response = os_client.search( | ||
| body=query, | ||
| index=index_name | ||
| ) | ||
| print('\nSearch results:') | ||
| print(response) | ||
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| def setup_os_client(): | ||
| """ Setup the open search client """ | ||
| host = os.environ['OS_HOST'] # cluster endpoint, for ex: my-domain.us-east-1.es.amazonaws.com | ||
| region = os.environ['OS_REGION'] | ||
| credentials = boto3.Session().get_credentials() | ||
| auth = AWSV4SignerAuth(credentials, region) | ||
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| os_client = OpenSearch( | ||
| hosts=[{'host': host, 'port': 443}], | ||
| http_auth=auth, | ||
| use_ssl=True, | ||
| verify_certs=True, | ||
| connection_class=RequestsHttpConnection | ||
| ) | ||
| return os_client | ||
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| def read_metric_data(file_name): | ||
| """ Read from the metrics file and construct the document """ | ||
| with open(file_name, encoding="utf-8") as file_d: | ||
| content = yaml.load(file_d, Loader=yaml.FullLoader) | ||
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| kpi_data = content['kpi'] | ||
| execution_timestamp = content['execution_timestamp'] | ||
| sbo_version = content['sbo_version'] | ||
| openshift_version = content['openshift_version'] | ||
| openshift_release = content['openshift_release'] | ||
| run_type = content['run_type'] | ||
| pull_number = content['pull_number'] | ||
| commit_id = content['commit_id'] | ||
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| for data in kpi_data: | ||
| if data['name'] == 'usage': | ||
| for metric in data['metrics']: | ||
| if metric['name'] == 'Memory_MiB': | ||
| memory_average = metric['average'] | ||
| memory_maximum = metric['maximum'] | ||
| elif metric['name'] == 'CPU_millicores': | ||
| cpu_average = metric['average'] | ||
| cpu_maximum = metric['maximum'] | ||
| dt_string = datetime.now().strftime("%Y-%m-%d %H:%M:%S") | ||
| return {'upload_date': dt_string, | ||
| 'memory_average': float(memory_average), | ||
| 'memory_maximum': float(memory_maximum), | ||
| 'cpu_average': float(cpu_average), | ||
| 'cpu_maximum': float(cpu_maximum), | ||
| 'memory_average_threshold': get_average_threshold_mem(), | ||
| 'memory_maximum_threshold': get_maximum_threshold_mem(), | ||
| 'cpu_average_threshold': get_average_threshold_cpu(), | ||
| 'cpu_maximum_threshold': get_maximum_threshold_cpu(), | ||
| 'run_type': run_type, | ||
| 'pull_number': pull_number, | ||
| 'commit_id': commit_id, | ||
| 'execution_timestamp': execution_timestamp, | ||
| 'sbo_version': sbo_version, | ||
| 'openshift_version': openshift_version, | ||
| 'openshift_release': openshift_release} | ||
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| def generate_id(): | ||
| """ Generate a random id of length 6 """ | ||
| length = 6 | ||
| return ''.join(random.choices(string.ascii_lowercase + string.digits, k=length)) | ||
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| def get_average_threshold_mem(): | ||
| """ returns current threshold value 150 """ | ||
| return float(os.environ['TEST_PERFORMANCE_AVG_MEMORY']) | ||
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| def get_maximum_threshold_mem(): | ||
| """ returns current threshold value 200 """ | ||
| return float(os.environ['TEST_PERFORMANCE_MAX_MEMORY']) | ||
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| def get_average_threshold_cpu(): | ||
| """ returns current thresholds value 20 """ | ||
| return float(os.environ['TEST_PERFORMANCE_AVG_CPU']) | ||
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| def get_maximum_threshold_cpu(): | ||
| """ returns current thresholds value 100 """ | ||
| return float(os.environ['TEST_PERFORMANCE_MAX_CPU']) | ||
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| if __name__ == '__main__': | ||
| OS_INDEX_NAME = 'sbo-perf-data' | ||
| client = setup_os_client() | ||
| # create_index(client, index_name) | ||
| # delete_index(client, index_name) | ||
| # delete_a_document(client, index_name, id) | ||
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| metric_file_name = os.environ['KPI_YAML_FILE'] | ||
| doc = read_metric_data(metric_file_name) | ||
| # doc = {'upload_date': '2022-12-14 06:30:30', | ||
| # 'memory_average' : 68.2, | ||
| # 'memory_maximum': 98.2, | ||
| # 'cpu_average': 10.5, | ||
| # 'cpu_maximum': 90.2, | ||
| # 'memory_average_threshold': 150, | ||
| # 'memory_maximum_threshold': 200, | ||
| # 'cpu_average_threshold': 20, | ||
| # 'cpu_maximum_threshold': 100} | ||
| RANDOM_DOC_ID = generate_id() | ||
| print(f"Random Generated ID: {RANDOM_DOC_ID}") | ||
| add_document_to_index(client, OS_INDEX_NAME, RANDOM_DOC_ID, doc) |