Update the hatch env selection to act as the tox one

[FlorentClarret]

What does this PR do?

Modify the way we select environments when we are using hatch to mirror what we were doing with tox.

Motivation

• The latest weekly pipeline is all red since we migrated to hatch https://dev.azure.com/datadoghq/integrations-core/_build/results?buildId=123628&view=logs&j=762a2123-1c7c-5bf0-0e62-04885c3ecd74&t=e42a329a-2791-53f4-67fc-ce0c85b45aed
• The select_hatch_envs also returns non-existing envs, which was not the case with the tox version:

  integrations-core/datadog_checks_dev/datadog_checks/dev/tooling/testing.py

  Lines 194 to 237 in 24983f2

  	def select_tox_envs(
  	check,
  	envs_selected,
  	style,
  	format_style,
  	benchmark,
  	every,
  	sort,
  	e2e_tests_only,
  	latest,
  	env_filter_re,
  	):
  	envs_available = get_available_tox_envs(check, sort=sort, e2e_only=latest, e2e_tests_only=e2e_tests_only)
  	if format_style:
  	envs_selected[:] = [e for e in envs_available if 'format_style' in e]
  	elif style:
  	envs_selected[:] = [e for e in envs_available if e in STYLE_CHECK_ENVS]
  	elif benchmark:
  	envs_selected[:] = [e for e in envs_available if 'bench' in e]
  	elif latest:
  	envs_selected[:] = [e for e in envs_available if e == 'latest']
  	else:
  	if every:
  	envs_selected[:] = envs_available
  	elif envs_selected:
  	available = set(envs_selected) & set(envs_available)
  	selected = []
  	# Retain order and remove duplicates
  	for e in envs_selected:
  	# TODO: support globs or regex
  	if e in available:
  	selected.append(e)
  	available.remove(e)
  	envs_selected[:] = selected
  	else:
  	envs_selected[:] = [
  	e for e in envs_available if 'bench' not in e and 'format_style' not in e and e != 'latest'
  	]
  	if env_filter_re:
  	envs_selected[:] = [e for e in envs_selected if not env_filter_re.match(e)]

Additional Notes

• To reproduce, run ddev -v env test --base --new-env --junit --ddtrace datadog_checks_base:latest, it should generate a warn and not an error
• I know we are not going to use tox in the future so we would be able to change the way ddev work in this case, but I think we need to do exactly what we were doing with it for now, and change this after if needed once we know that everything is alright (which is not the case right now)

Review checklist (to be filled by reviewers)

• Feature or bugfix MUST have appropriate tests (unit, integration, e2e)
• PR title must be written as a CHANGELOG entry (see why)
• Files changes must correspond to the primary purpose of the PR as described in the title (small unrelated changes should have their own PR)
• PR must have changelog/ and integration/ labels attached
• If the PR doesn't need to be tested during QA, please add a qa/skip-qa label.

[codecov]

Codecov Report

Merging #13644 (24983f2) into master (c0daa8e) will increase coverage by 0.03%.
The diff coverage is n/a.

Flag	Coverage Δ
activemq_xml	82.31% <ø> (ø)
aerospike	87.17% <ø> (+0.32%)	⬆️
airflow	90.00% <ø> (ø)
amazon_msk	88.67% <ø> (ø)
ambari	85.75% <ø> (ø)
apache	95.08% <ø> (ø)
arangodb	98.21% <ø> (ø)
argocd	88.43% <ø> (ø)
avi_vantage	92.50% <ø> (ø)
azure_iot_edge	82.00% <ø> (ø)
boundary	100.00% <ø> (ø)
btrfs	82.91% <ø> (ø)
cacti	87.90% <ø> (ø)
calico	83.33% <ø> (ø)
cassandra_nodetool	93.16% <ø> (ø)
ceph	91.02% <ø> (ø)
cert_manager	77.41% <ø> (ø)
cilium	75.34% <ø> (+0.93%)	⬆️
cisco_aci	95.27% <ø> (ø)
citrix_hypervisor	87.50% <ø> (ø)
clickhouse	95.31% <ø> (ø)
cloud_foundry_api	95.98% <ø> (ø)
cloudera	99.10% <ø> (ø)
cockroachdb	90.96% <ø> (ø)
consul	91.64% <ø> (ø)
coredns	94.54% <ø> (ø)
couch	95.19% <ø> (+0.24%)	⬆️
couchbase	83.58% <ø> (ø)
crio	89.79% <ø> (ø)
datadog_checks_base	89.52% <ø> (+0.33%)	⬆️
datadog_checks_dev	82.24% <ø> (+0.07%)	⬆️
datadog_checks_downloader	79.73% <ø> (ø)
datadog_cluster_agent	90.00% <ø> (ø)
ddev	98.58% <ø> (ø)
directory	96.50% <ø> (ø)
disk	91.69% <ø> (ø)
dns_check	93.90% <ø> (ø)
druid	97.70% <ø> (ø)
ecs_fargate	80.05% <ø> (ø)
eks_fargate	94.05% <ø> (ø)
elastic	91.61% <ø> (ø)
envoy	94.00% <ø> (ø)
etcd	93.96% <ø> (ø)
external_dns	89.09% <ø> (ø)
fluentd	94.77% <ø> (ø)
foundationdb	78.50% <ø> (-0.30%)	⬇️
gearmand	78.26% <ø> (+1.24%)	⬆️
gitlab_runner	91.94% <ø> (ø)
go_expvar	92.73% <ø> (ø)
gunicorn	92.85% <ø> (+0.75%)	⬆️
haproxy	95.12% <ø> (+0.16%)	⬆️
harbor	80.04% <ø> (ø)
hazelcast	92.39% <ø> (ø)
hdfs_datanode	89.74% <ø> (ø)
hdfs_namenode	86.72% <ø> (ø)
http_check	95.38% <ø> (+2.08%)	⬆️
ibm_ace	91.79% <ø> (ø)
ibm_db2	95.10% <ø> (ø)
ibm_i	81.95% <ø> (ø)
ibm_mq	91.37% <ø> (ø)
ibm_was	96.08% <ø> (ø)
impala	97.97% <ø> (ø)
istio	77.65% <ø> (+0.55%)	⬆️
kafka_consumer	84.06% <ø> (ø)
kong	87.56% <ø> (ø)
kube_apiserver_metrics	97.69% <ø> (ø)
kube_controller_manager	96.00% <ø> (ø)
kube_dns	95.97% <ø> (ø)
kube_metrics_server	94.87% <ø> (ø)
kube_proxy	96.80% <ø> (ø)
kube_scheduler	96.53% <ø> (ø)
kubelet	90.96% <ø> (ø)
kubernetes_state	89.18% <ø> (ø)
kyototycoon	85.96% <ø> (ø)
lighttpd	83.64% <ø> (ø)
linkerd	85.14% <ø> (+1.14%)	⬆️
linux_proc_extras	96.22% <ø> (ø)
mapr	82.70% <ø> (ø)
mapreduce	81.30% <ø> (-0.47%)	⬇️
marathon	83.12% <ø> (ø)
marklogic	96.03% <ø> (ø)
mcache	93.26% <ø> (ø)
mesos_master	89.75% <ø> (ø)
mesos_slave	93.63% <ø> (ø)
mongo	96.51% <ø> (ø)
nagios	89.01% <ø> (ø)
network	93.92% <ø> (+0.95%)	⬆️
nfsstat	95.20% <ø> (ø)
nginx	95.24% <ø> (+0.54%)	⬆️
nginx_ingress_controller	98.36% <ø> (ø)
openldap	96.33% <ø> (ø)
openmetrics	97.90% <ø> (ø)
openstack	51.45% <ø> (ø)
openstack_controller	90.93% <ø> (ø)
oracle	90.44% <ø> (ø)
pgbouncer	91.33% <ø> (ø)
php_fpm	90.25% <ø> (+0.84%)	⬆️
postfix	88.04% <ø> (ø)
powerdns_recursor	96.65% <ø> (ø)
process	85.42% <ø> (+0.28%)	⬆️
prometheus	94.17% <ø> (ø)
proxysql	98.97% <ø> (ø)
pulsar	100.00% <ø> (ø)
rabbitmq	94.45% <ø> (ø)
redisdb	87.50% <ø> (ø)
rethinkdb	97.93% <ø> (ø)
riak	99.22% <ø> (ø)
riakcs	93.61% <ø> (ø)
sap_hana	91.64% <ø> (ø)
scylla	100.00% <ø> (ø)
silk	93.33% <ø> (ø)
singlestore	90.81% <ø> (ø)
snowflake	96.47% <ø> (ø)
spark	93.57% <ø> (-0.29%)	⬇️
squid	100.00% <ø> (ø)
ssh_check	91.58% <ø> (ø)
statsd	87.36% <ø> (+4.21%)	⬆️
supervisord	92.30% <ø> (ø)
system_core	90.90% <ø> (ø)
system_swap	98.30% <ø> (ø)
tcp_check	91.58% <ø> (ø)
teamcity	88.35% <ø> (+2.87%)	⬆️
teradata	94.24% <ø> (ø)
tls	91.82% <ø> (+0.84%)	⬆️
tokumx	58.40% <ø> (?)
traffic_server	96.13% <ø> (ø)
twemproxy	79.45% <ø> (ø)
twistlock	79.62% <ø> (ø)
varnish	84.39% <ø> (+0.26%)	⬆️
vault	95.53% <ø> (+0.57%)	⬆️
vertica	98.50% <ø> (ø)
voltdb	96.84% <ø> (ø)
vsphere	89.91% <ø> (+0.08%)	⬆️
yarn	89.14% <ø> (ø)
zk	86.63% <ø> (+1.11%)	⬆️

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