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https://github.com/vale981/ray
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7091a32fe1
This adds "environments" to the release package that can be used to configure some environment variables. These variables will be loaded either by an `--env` argument or a `env` definition in the test definition and can be used to e.g. run release tests on staging.
122 lines
4.4 KiB
Python
122 lines
4.4 KiB
Python
import datetime
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import json
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from typing import Optional
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import boto3
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from ray_release.aws import (
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RELEASE_AWS_DB_NAME,
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RELEASE_AWS_DB_RESOURCE_ARN,
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RELEASE_AWS_DB_SECRET_ARN,
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RELEASE_AWS_DB_TABLE,
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)
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from ray_release.config import Test
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from ray_release.logger import logger
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from ray_release.reporter.reporter import Reporter
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from ray_release.result import Result
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from ray_release.template import get_test_env_var
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from ray_release.util import exponential_backoff_retry
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DEFAULT_LEGACY_DB_TABLE = "release_test_result"
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class LegacyRDSReporter(Reporter):
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def __init__(
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self, database: Optional[str] = None, database_table: Optional[str] = None
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):
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self.database = database or str(RELEASE_AWS_DB_NAME)
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self.database_table = database_table or str(RELEASE_AWS_DB_TABLE)
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def report_result(self, test: Test, result: Result):
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logger.info("Persisting results to database...")
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result_dict = {
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"_runtime": result.runtime,
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# Keep session url for legacy support
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"_session_url": result.cluster_url,
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"_cluster_url": result.cluster_url,
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"_commit_url": result.wheels_url,
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"_stable": result.stable,
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}
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now = datetime.datetime.utcnow()
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rds_data_client = boto3.client("rds-data", region_name="us-west-2")
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if "legacy" in test:
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test_name = test["legacy"]["test_name"]
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test_suite = test["legacy"]["test_suite"]
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else:
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test_name = test["name"]
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test_suite = ""
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team = test["team"] or ""
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# Branch name
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category = get_test_env_var("RAY_BRANCH", "")
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status = result.status or "invalid"
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last_logs = result.last_logs or ""
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if result.results:
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result_dict.update(result.results)
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artifacts = {}
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parameters = [
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{
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"name": "created_on",
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"typeHint": "TIMESTAMP",
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"value": {"stringValue": now.strftime("%Y-%m-%d %H:%M:%S")},
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},
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{"name": "test_suite", "value": {"stringValue": test_suite}},
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{"name": "test_name", "value": {"stringValue": test_name}},
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{"name": "status", "value": {"stringValue": status}},
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{"name": "last_logs", "value": {"stringValue": last_logs}},
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{
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"name": "results",
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"typeHint": "JSON",
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"value": {"stringValue": json.dumps(result_dict)},
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},
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{
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"name": "artifacts",
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"typeHint": "JSON",
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"value": {"stringValue": json.dumps(artifacts)},
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},
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{"name": "category", "value": {"stringValue": category}},
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{"name": "team", "value": {"stringValue": team}},
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{"name": "session_url", "value": {"stringValue": result.cluster_url or ""}},
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{"name": "commit_url", "value": {"stringValue": result.wheels_url or ""}},
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{"name": "runtime", "value": {"doubleValue": result.runtime or -1.0}},
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{"name": "stable", "value": {"booleanValue": result.stable}},
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{"name": "frequency", "value": {"stringValue": test.get("frequency", "")}},
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{"name": "return_code", "value": {"longValue": result.return_code}},
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]
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columns = [param["name"] for param in parameters]
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values = [f":{param['name']}" for param in parameters]
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column_str = ", ".join(columns).strip(", ")
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value_str = ", ".join(values).strip(", ")
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sql = (
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f"INSERT INTO {self.database_table} "
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f"({column_str}) "
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f"VALUES ({value_str})"
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)
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logger.debug(f"SQL query: {sql}")
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# Default boto3 call timeout is 45 seconds.
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retry_delay_s = 64
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MAX_RDS_RETRY = 3
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exponential_backoff_retry(
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lambda: rds_data_client.execute_statement(
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database=self.database,
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parameters=parameters,
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secretArn=str(RELEASE_AWS_DB_SECRET_ARN),
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resourceArn=str(RELEASE_AWS_DB_RESOURCE_ARN),
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schema=self.database_table,
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sql=sql,
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),
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retry_exceptions=rds_data_client.exceptions.StatementTimeoutException,
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initial_retry_delay_s=retry_delay_s,
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max_retries=MAX_RDS_RETRY,
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)
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logger.info("Result has been persisted to the database")
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