import json from tests.sampledata import SampleData from treeherder.client import TreeherderClient from treeherder.model import models def post_collection(project, th_collection): client = TreeherderClient(server_url='http://localhost') return client.post_collection(project, th_collection) def do_job_ingestion(jm, job_data, sample_resultset, verify_data=True): """ Ingest ``job_data`` which will be JSON job blobs. ``verify_data`` - whether or not to run the ingested jobs through the verifier. """ jm.store_result_set_data(sample_resultset) max_index = len(sample_resultset) - 1 resultset_index = 0 # Structures to test if we stored everything build_platforms_ref = set() machine_platforms_ref = set() machines_ref = set() options_ref = set() job_types_ref = set() products_ref = set() result_sets_ref = set() log_urls_ref = set() coalesced_job_guids = {} coalesced_replacements = [] artifacts_ref = {} blobs = [] for index, blob in enumerate(job_data): if resultset_index > max_index: resultset_index = 0 # Modify job structure to sync with the resultset sample data if 'sources' in blob: del blob['sources'] blob['revision'] = sample_resultset[resultset_index]['revision'] blobs.append(blob) resultset_index += 1 # Build data structures to confirm everything is stored # as expected if verify_data: job_guid = blob['job']['job_guid'] job = blob['job'] build_platforms_ref.add( "-".join([ job.get('build_platform', {}).get('os_name', 'unknown'), job.get('build_platform', {}).get('platform', 'unknown'), job.get('build_platform', {}).get('architecture', 'unknown') ])) machine_platforms_ref.add( "-".join([ job.get('machine_platform', {}).get('os_name', 'unknown'), job.get('machine_platform', {}).get('platform', 'unknown'), job.get('machine_platform', {}).get('architecture', 'unknown') ])) machines_ref.add(job.get('machine', 'unknown')) options_ref = options_ref.union(job.get('option_collection', []).keys()) job_types_ref.add(job.get('name', 'unknown')) products_ref.add(job.get('product_name', 'unknown')) result_sets_ref.add(blob['revision']) log_url_list = job.get('log_references', []) for log_data in log_url_list: log_urls_ref.add(log_data['url']) artifact_name = job.get('artifact', {}).get('name') if artifact_name: artifacts_ref[artifact_name] = job.get('artifact') coalesced = blob.get('coalesced', []) if coalesced: coalesced_job_guids[job_guid] = coalesced coalesced_replacements.append('%s') # Store the modified json blobs jm.store_job_data(blobs) if verify_data: # Confirms stored data matches whats in the reference data structs verify_build_platforms(build_platforms_ref) verify_machine_platforms(machine_platforms_ref) verify_machines(machines_ref) verify_options(options_ref) verify_job_types(job_types_ref) verify_products(products_ref) verify_result_sets(jm, result_sets_ref) verify_log_urls(jm, log_urls_ref) verify_artifacts(jm, artifacts_ref) verify_coalesced(jm, coalesced_job_guids, coalesced_replacements) def verify_build_platforms(build_platforms_ref): build_platforms_set = set() for build_platform in models.BuildPlatform.objects.all(): build_platforms_set.add( "-".join([ build_platform.os_name, build_platform.platform, build_platform.architecture ])) assert build_platforms_ref.issubset(build_platforms_set) def verify_machine_platforms(machine_platforms_ref): machine_platforms_set = set() for machine_platform in models.MachinePlatform.objects.all(): machine_platforms_set.add( "-".join([ machine_platform.os_name, machine_platform.platform, machine_platform.architecture ])) assert machine_platforms_ref.issubset(machine_platforms_set) def verify_machines(machines_ref): machines = models.Machine.objects.all().values_list('name', flat=True) assert machines_ref.issubset(machines) def verify_options(options_ref): options = models.Option.objects.all().values_list('name', flat=True) assert options_ref.issubset(options) def verify_job_types(job_types_ref): job_types = models.JobType.objects.all().values_list('name', flat=True) assert job_types_ref.issubset(job_types) def verify_products(products_ref): products = models.Product.objects.all().values_list('name', flat=True) assert products_ref.issubset(products) def verify_result_sets(jm, result_sets_ref): revisions = jm.get_dhub().execute( proc='jobs.selects.get_all_result_set_revisions', key_column='long_revision', return_type='set' ) assert result_sets_ref.issubset(revisions) def verify_log_urls(jm, log_urls_ref): log_urls = set(models.JobLog.objects.values_list('url', flat=True)) assert log_urls_ref.issubset(log_urls) def verify_artifacts(jm, artifacts_ref): artifacts = jm.get_dhub().execute( proc='jobs.selects.get_all_artifacts', key_column='name', return_type='dict' ) for key in artifacts.keys(): assert artifacts[key]['name'] == artifacts_ref[key]['name'] assert artifacts[key]['type'] == artifacts_ref[key]['type'] assert json.loads(artifacts[key]['blob']) == artifacts_ref[key]['blob'] def verify_coalesced(jm, coalesced_job_guids, coalesced_replacements): coalesced_job_guid_list = coalesced_job_guids.keys() if coalesced_job_guid_list: rep_str = ','.join(coalesced_replacements) data = jm.get_dhub().execute( proc='jobs.selects.get_jobs_by_coalesced_guids', replace=[rep_str], placeholders=coalesced_job_guid_list ) coalesced_job_guids_stored = {} for datum in data: if datum['job_coalesced_to_guid'] not in coalesced_job_guids_stored: coalesced_job_guids_stored[datum['job_coalesced_to_guid']] = [] coalesced_job_guids_stored[datum['job_coalesced_to_guid']].append( datum['job_guid'] ) assert coalesced_job_guids_stored == coalesced_job_guids def load_exp(filename): """ Load in an expected result json and return as an obj. If the file doesn't exist, it will be created, but the test will fail, due to no content. This is to make it easier during test development. """ path = SampleData().get_log_path(filename) with open(path, "a+") as f: try: return json.load(f) except ValueError: # if it's not parse-able, return an empty dict return {}