#dZddlmZddlmZddlmZddlmZddlmZddlm Z dZ d Z dd Z dd Z dd Zd ZdZddZdZdZy)z1Code for making shared messages between commands.)absolute_import)division)print_function)unicode_literals) k8s_object)logcdj|j|}|D]K}d|z}||jvr|j|jdnd}|dj||z }M|S)zReturns a user message for a successful synchronous deploy. Args: service: googlecloudsdk.api_lib.run.service.Service, Deployed service for which to build a success message. regions: list of regions that we deployed to. zmMulti-Region Service [{{bold}}{s}{{reset}}] has been deployed to regions {{bold}}{r}{{reset}}. Regional URLs:)srzMultiRegionReady/messagez. {{bold}}{url}{{reset}} ({{bold}}{r}{{reset}}))r url)formatname conditionsget)serviceregionsmsgregion conditionrs 3lib/googlecloudsdk/command_lib/run/messages_util.py0GetSuccessMessageForMultiRegionSynchronousDeployrs F   f#f,I ** * 9%)))4   < C C c D C *c.|jj}|jj}|rdn |j}d}|r|dz }|j}d}|rdj |}|j |j |r|n||j||zS)a Returns a user message for a successful synchronous deploy. Args: service: googlecloudsdk.api_lib.run.service.Service, Deployed service for which to build a success message. no_traffic: bool, whether the service was deployed with --no-traffic flag. rzService [{{bold}}{serv}{{reset}}] revision [{{bold}}{rev}{{reset}}] has been deployed and is serving {{bold}}{latest_percent_traffic}{{reset}} percent of traffic.z$ Service URL: {{bold}}{url}{{reset}}r z+ The revision can be reached directly at {})servrevrlatest_percent_traffic)statuslatestReadyRevisionNamelatestCreatedRevisionNamer latest_urlrrdomain)r no_traffic latest_readylatest_createdrrr"tag_url_messages r%GetSuccessMessageForSynchronousDeployr(7s77,>>;;. *10N0NF  22C!!*/DKKO jj|| *n nn!7   rcd}||jz }|dk(r |jn|jj}|j ||j ||j |j|S)aReturns a user mesage for starting a deploy. Args: conn_context: connection_context.ConnectionInfo, Metadata for the run API client. resource_ref: protorpc.messages.Message, A resource reference object for the resource. See googlecloudsdk.core.resources.Registry.ParseResourceId for details. operation: str, what deploy action is being done. resource_kind_lower: str, resource kind being deployed, e.g. "service" zj{operation} {operator} {resource_kind} [{{bold}}{resource}{{reset}}] in {ns_label} [{{bold}}{ns}{{reset}}]z worker pool) operationoperator resource_kindns_labelresourcens)location_label projectsIdParentNamerr+r-) conn_context resource_refr*resource_kind_lowerrr/s rGetStartDeployMessager7^s$L $ $$#  -    % % ' $$'$$  "  rcd}|j||j|j|jj|jS)azReturns a user mesage for resource not found. Args: conn_context: connection_context.ConnectionInfo, Metadata for the run API client. resource_ref: protorpc.messages.Message, A resource reference object for the resource. See googlecloudsdk.core.resources.Registry.ParseResourceId for details. resource_kind: str, resource kind, e.g. "Service" zW{resource_kind} [{resource}] could not be found in {ns_label} [{ns}] region [{region}].)r,r.r-r/r)rr3r-r2r)r4r5r,rs rGetNotFoundMessager9sZ1 !  "$$     # # %   rcdj|rdnd|j!dj|j|Sd|S)z,Returns a user message for how to run a job.zT To execute this job{repeat}, use: gcloud{release_track} run jobs execute {job_name}z againr  {})repeat release_trackjob_name)rprefix)r=r>r<s rGetRunJobMessager@sb::@&#%%1ll=//0;A; ;A; rcdj|jdj|jnd|j}|jr'|jjr|dt |zz }|S)zAReturns a user message with execution details when running a job.zr View details about this execution by running: gcloud{release_track} run jobs executions describe {execution_name}r;r )r=execution_namez Or visit )rr?rrlogUri_GetExecutionUiLink)r= executionrs rGetExecutionCreatedMessagerFs{L F ! ! - ,,}++ ,^^  )**11?0; ;;C *rcfdj|j|j|jS)Nzhhttps://console.cloud.google.com/run/jobs/executions/details/{region}/{execution_name}?project={project})rrBproject)rrr namespace)rEs rrDrDs4< F   ^^!! rc<|rdnd}d}|j||||S)awReturns a user message for equivalent gcloud commands for source deploy. Args: name: name of the source target, which is either a service, a job or a worker pack: the pack arguments used to build the container image source: the location of the source subgroup: subgroup name for this command. Either 'jobs ', 'workers ' or empty for services z--pack image=[IMAGE]z --tag [IMAGE]zThis command is equivalent to running `gcloud builds submit {build_flag} {source}` and `gcloud run {subgroup}deploy {name} --image [IMAGE]` )r build_flagsourcesubgroup)r)rpackrLrMrKrs r%GetBuildEquivalentForSourceRunMessagerOs9*.%?*?  Jv  rcd|vxr |j}d|vxr |j}d|vrB|jr6|jjD]\}}d|vs |jsd}|xrY|jxrK|jj xr3|jj j tj}|r&|s#|s tjjdyyyyzELogs a user message for GPU type default value if it is not provided.gpugpu_type containersTzYNo GPU type is provided, defaulting to nvidia-l4. To specify the GPU type use --gpu-type.N) rRrSrTitemstemplate node_selectorrrGPU_TYPE_NODE_SELECTORrrPrintargsr.gpu_set gpu_type_set_container_args has_gpu_types rMaybeLogDefaultGpuTypeMessageras TM &dhh't#5 ,Tdoo!__224> . ^%7%75Q   Q    ) )Q    ) ) - -j.O.O P   \,JJ $+7\Wrcd|vxr |j}d|vxr |j}d|vrB|jr6|jjD]\}}d|vs |jsd}|xrF|jxr8|jj xr |jj j }|r&|s#|s tjjdyyyyrQ) rRrSrTrUrVrW acceleratorrrrYrZs r*MaybeLogDefaultGpuTypeMessageForV2Resourcerds TM &dhh't#5 ,Tdoo!__224> . ^%7%756   6    ) )6    ) ) 5 5   \,JJ $+7\WrN)zDeploying container tor)Service)F)r )__doc__ __future__rrrrgooglecloudsdk.api_lib.runrgooglecloudsdk.corerrr(r7r9r@rFrDrOrardrrrksX8&%'1# :$T'! $N2   $,*r