зеркало из https://github.com/mozilla/treeherder.git
merged
This commit is contained in:
Коммит
1de79d9a2a
|
@ -4,14 +4,16 @@ import sys
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from django.core.management import call_command
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import pytest
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from django.conf import settings
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from django.core.management import call_command
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def pytest_sessionstart(session):
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"""
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Set up the test environment.
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Set up the test environment.
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Set DJANGO_SETTINGS_MODULE and sets up a test database.
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Set DJANGO_SETTINGS_MODULE and sets up a test database.
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"""
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"""
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sys.path.append(dirname(dirname(__file__)))
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os.environ.setdefault("DJANGO_SETTINGS_MODULE", "treeherder.settings")
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from django.conf import settings
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@ -43,14 +45,14 @@ def pytest_sessionfinish(session):
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def pytest_runtest_setup(item):
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"""
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Per-test setup.
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Per-test setup.
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Start a transaction and disable transaction methods for the duration of the
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test. The transaction will be rolled back after the test. This prevents any
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database changes made to Django ORM models from persisting between tests,
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providing test isolation.
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Start a transaction and disable transaction methods for the duration of the
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test. The transaction will be rolled back after the test. This prevents any
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database changes made to Django ORM models from persisting between tests,
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providing test isolation.
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"""
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"""
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from django.test.testcases import disable_transaction_methods
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from django.db import transaction
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@ -63,11 +65,12 @@ providing test isolation.
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def pytest_runtest_teardown(item):
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"""
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Per-test teardown.
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Per-test teardown.
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Roll back the Django ORM transaction and delete all the dbs created between tests
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Roll back the Django ORM transaction and delete all the dbs created
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between tests
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"""
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"""
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from django.test.testcases import restore_transaction_methods
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from django.db import transaction
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from treeherder.model.models import Datasource
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@ -93,11 +96,57 @@ def increment_cache_key_prefix():
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cache.set(prefix_counter_cache_key, key_prefix_counter)
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cache.key_prefix = "t{0}".format(key_prefix_counter)
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@pytest.fixture(scope='session')
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def sample_data():
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"""Returns a SampleData() object"""
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from sampledata import SampleData
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return SampleData()
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@pytest.fixture()
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def jm():
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""" Give a test access to a JobsModel instance. """
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from django.conf import settings
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from treeherder.model.derived.jobs import JobsModel
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# return JobsModel.create(settings.DATABASES["default"]["TEST_NAME"])
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from treeherder.model.models import Datasource
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jds = Datasource.objects.create(
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project=settings.DATABASES["default"]["TEST_NAME"],
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dataset=1,
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contenttype="jobs",
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host=settings.DATABASES['default']['HOST'],
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)
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objstore = Datasource.objects.create(
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project=settings.DATABASES["default"]["TEST_NAME"],
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dataset=1,
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contenttype="objectstore",
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host=settings.DATABASES['default']['HOST'],
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)
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model = JobsModel(settings.DATABASES["default"]["TEST_NAME"])
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# patch in additional test-only procs on the datasources
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test_proc_file = os.path.join(
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os.path.abspath(os.path.dirname(__file__)),
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"objectstore_test.json",
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)
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add_test_procs_file(
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model.get_dhub("objectstore"),
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objstore.key,
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"objectstore_test.json",
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)
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add_test_procs_file(
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model.get_dhub("jobs"),
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jds.key,
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"jobs_test.json",
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)
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return model
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def add_test_procs_file(dhub, key, filename):
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"""Add an extra procs file in for testing purposes."""
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test_proc_file = os.path.join(
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os.path.abspath(os.path.dirname(__file__)),
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filename,
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)
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del dhub.procs[key]
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proclist = dhub.data_sources[key]["procs"]
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if not test_proc_file in proclist:
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proclist.append(test_proc_file)
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dhub.data_sources[key]["procs"] = proclist
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dhub.load_procs(key)
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@pytest.fixture()
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def jobs_ds():
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@ -121,3 +170,9 @@ def objectstore_ds():
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contenttype="objectstore",
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host="localhost",
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)
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@pytest.fixture(scope='session')
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def sample_data():
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"""Returns a SampleData() object"""
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from sampledata import SampleData
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return SampleData()
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|
|
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@ -0,0 +1,12 @@
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{
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"selects": {
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"job": {
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"sql": "SELECT * FROM `job` WHERE id = ?",
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"host": "master_host"
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},
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"jobs": {
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"sql": "SELECT * FROM `job`",
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"host": "master_host"
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}
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}
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}
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@ -147,22 +147,8 @@ def test_refdata_manager(refdata, params):
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for k, v in params['expected'][i].items():
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assert row[k] == v
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# some tests just don't fit into the standard layout
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# def test_repository_version_creation(refdata, repository_id):
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# id = refdata.get_or_create_repository_version(
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# repository_id,
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# 'v1',
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# 1366290144.07455)
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# row_data = refdata.dhub.execute(
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# proc=params[refdata_test.selects.test_repository_version],
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# placeholders=[id]
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# )[0]
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# assert row[repository_id] == 1
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# assert row[version] == 'v1'
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# assert row[version_timestamp] == 1366290144
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# assert row[active_status] == 'active'
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assert row_data["symbol"] == 'fill me'
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assert row_data["name"] == 'mygroup'
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assert row_data["description"] == 'fill me'
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assert row_data["active_status"] == 'active'
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@ -0,0 +1,227 @@
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"""
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Functions for flexible generation of sample input job JSON.
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"""
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import json
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import os
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import time
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from datetime import timedelta
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from treeherder.model import utils
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def ref_data_json():
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"""Return reference data json structure"""
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filename = os.path.join(
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os.path.abspath(os.path.dirname(__file__)),
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"ref_data.json",
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)
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json_data = ""
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with open(filename) as f:
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json_data = f.read()
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return json_data
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def job_json(**kwargs):
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return json.dumps(job_data(**kwargs))
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def job_data(**kwargs):
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jobs_obj = {
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"sources": [
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{
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"commit_timestamp": 1365732271,
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"push_timestamp": 1365732271,
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"comments": "Bug 854583 - Use _pointer_ instead of...",
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"repository": "mozilla-aurora",
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"revision": "c91ee0e8a980"
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}
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],
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"revision_hash": "24fd64b8251fac5cf60b54a915bffa7e51f636b5",
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"jobs": [{
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'build_platform': build_platform(**kwargs.pop("build_platform", {})),
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'submit_timestamp': kwargs.pop("submit_timestamp", submit_timestamp()),
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'start_timestamp': kwargs.pop("start_timestamp", start_timestamp()),
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'name': kwargs.pop("name", u'mochitest-5'),
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'option_collection': option_collection(
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**kwargs.pop("build_platform", {})),
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'log_references': log_references(kwargs.pop("log_references", [])),
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'who': kwargs.pop("who", u'sendchange-unittest'),
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'reason': kwargs.pop("reason", u'scheduler'),
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'artifact': kwargs.pop("artifact", {}),
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'machine_platform': machine_platform(
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**kwargs.pop("machine_platform", {})),
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'machine': kwargs.pop("machine", u'talos-r3-xp-088'),
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'state': kwargs.pop("state", 'TODO'),
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'result': kwargs.pop("result", 0),
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'job_guid': kwargs.pop(
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"job_guid", "f3e3a9e6526881c39a3b2b6ff98510f213b3d4ed"),
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'product_name': kwargs.pop("product_name", u'firefox'),
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'end_timestamp': kwargs.pop("end_timestamp", end_timestamp()),
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}]
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}
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# defaults.update(kwargs)
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return jobs_obj
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def to_seconds(td):
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return (td.microseconds +
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(td.seconds + td.days * 24 * 3600) * 10 ** 6
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) / 10 ** 6
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def get_timestamp_days_ago(days_ago):
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now = int(time.time())
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return now - to_seconds(timedelta(int(days_ago)))
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def submit_timestamp():
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"""3 days ago"""
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return get_timestamp_days_ago(3)
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def start_timestamp():
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"""2 days ago"""
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return get_timestamp_days_ago(2)
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def end_timestamp():
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"""1 day ago"""
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return get_timestamp_days_ago(1)
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def option_collection(**kwargs):
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"""
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Return a sample data structure, with default values.
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"""
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defaults = {
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'debug': True
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}
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defaults.update(kwargs)
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return defaults
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def log_references(log_refs=None):
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if not log_refs:
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log_refs = [
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{
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"url": "http://ftp.mozilla.org/pub/...",
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"name": "unittest"
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}
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]
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return log_refs
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def build_platform(**kwargs):
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"""
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Return a sample data structure, with default values.
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"""
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defaults = {
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'platform': 'WINNT5.1',
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'os_name': 'win',
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'architecture': 'x86',
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'vm': False
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}
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defaults.update(kwargs)
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return defaults
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def machine_platform(**kwargs):
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"""
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Return a sample data structure, with default values.
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"""
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defaults = {
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'platform': 'WINNT5.1',
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'os_name': 'win',
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'architecture': 'x86',
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'vm': False
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}
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defaults.update(kwargs)
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return defaults
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def create_date_based_data(jm, monkeypatch, dates=None):
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"""Store and process some good and some error blobs on specified dates"""
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if not dates:
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dates = [
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get_timestamp_days_ago(5),
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get_timestamp_days_ago(4),
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get_timestamp_days_ago(3),
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]
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# 5 days ago
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mocknow = dates[0]
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def mock_now():
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return mocknow
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monkeypatch.setattr(utils, 'get_now_timestamp', mock_now)
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# store the error blob
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blob = job_json(
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testrun={"date": dates[0]},
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test_build={"name": "one"},
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)
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badblob = "{0}fooo".format(blob)
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jm.store_test_data(badblob, error="badness")
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# 4 days ago
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mocknow = dates[1]
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# store the good blobs
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blobs = [
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job_json(
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testrun={"date": dates[1]},
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name="one",
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),
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job_json(
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testrun={"date": dates[1]},
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name="three",
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),
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]
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# 3 days ago
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mocknow = dates[2]
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|
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# store another error blob
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blob = job_json(
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testrun={"date": dates[2]},
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name="four",
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)
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badblob = "{0}fooo".format(blob)
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jm.store_test_data(badblob, error="Malformed JSON")
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|
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for blob in blobs:
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jm.store_test_data(blob)
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# now process all of them
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jm.process_objects(4)
|
|
@ -0,0 +1,174 @@
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import json
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|
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|
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from .sample_data_generator import job_json
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|
||||
|
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def test_unicode(jm):
|
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"""Unicode representation of a ``JobModel`` is the project name."""
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assert unicode(jm) == unicode(jm.project)
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|
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|
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def xtest_disconnect(jm):
|
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"""test that your model disconnects"""
|
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|
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# establish the connection to jobs.
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jm._get_last_insert_id()
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# establish the connection to objectstore
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jm.retrieve_job_data(limit=1)
|
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|
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jm.disconnect()
|
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for src in jm.sources.itervalues():
|
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assert src.dhub.connection["master_host"]["con_obj"].open is False
|
||||
|
||||
|
||||
def test_claim_objects(jm):
|
||||
"""``claim_objects`` claims & returns unclaimed rows up to a limit."""
|
||||
|
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blobs = [
|
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job_json(testrun={"date": "1330454755"}),
|
||||
job_json(testrun={"date": "1330454756"}),
|
||||
job_json(testrun={"date": "1330454757"}),
|
||||
]
|
||||
# import time
|
||||
# time.sleep(30)
|
||||
|
||||
for blob in blobs:
|
||||
jm.store_job_data(blob)
|
||||
|
||||
rows1 = jm.claim_objects(2)
|
||||
|
||||
# a separate worker with a separate connection
|
||||
from treeherder.model.derived.jobs import JobsModel
|
||||
jm2 = JobsModel(jm.project)
|
||||
|
||||
rows2 = jm2.claim_objects(2)
|
||||
|
||||
loading_rows = jm.get_dhub(jm.CT_OBJECTSTORE).execute(
|
||||
proc="objectstore_test.counts.loading")[0]["loading_count"]
|
||||
|
||||
assert len(rows1) == 2
|
||||
# second worker asked for two rows but only got one that was left
|
||||
assert len(rows2) == 1
|
||||
|
||||
# all three blobs were fetched by one of the workers
|
||||
assert set([r["json_blob"] for r in rows1 + rows2]) == set(blobs)
|
||||
|
||||
# the blobs are all marked as "loading" in the database
|
||||
assert loading_rows == 3
|
||||
|
||||
|
||||
def test_mark_object_complete(jm):
|
||||
"""Marks claimed row complete and records run id."""
|
||||
jm.store_job_data(job_json())
|
||||
row_id = jm.claim_objects(1)[0]["id"]
|
||||
job_id = 7 # any arbitrary number; no cross-db constraint checks
|
||||
|
||||
jm.mark_object_complete(row_id, job_id)
|
||||
|
||||
row_data = jm.get_dhub(jm.CT_OBJECTSTORE).execute(
|
||||
proc="objectstore_test.selects.row", placeholders=[row_id])[0]
|
||||
|
||||
assert row_data["job_id"] == job_id
|
||||
assert row_data["processed_state"] == "complete"
|
||||
|
||||
|
||||
def test_process_objects(jm):
|
||||
"""Claims and processes a chunk of unprocessed JSON jobs data blobs."""
|
||||
# Load some rows into the objectstore
|
||||
blobs = [
|
||||
job_json(submit_timestamp="1330454755"),
|
||||
job_json(submit_timestamp="1330454756"),
|
||||
job_json(submit_timestamp="1330454757"),
|
||||
]
|
||||
|
||||
for blob in blobs:
|
||||
jm.store_job_data(blob)
|
||||
|
||||
# just process two rows
|
||||
jm.process_objects(2)
|
||||
|
||||
test_run_rows = jm.get_dhub(jm.CT_JOBS).execute(
|
||||
proc="jobs_test.selects.jobs")
|
||||
date_set = set([r['submit_timestamp'] for r in test_run_rows])
|
||||
expected_dates = set([1330454755, 1330454756, 1330454757])
|
||||
|
||||
complete_count = jm.get_dhub(jm.CT_OBJECTSTORE).execute(
|
||||
proc="objectstore_test.counts.complete")[0]["complete_count"]
|
||||
loading_count = jm.get_dhub(jm.CT_OBJECTSTORE).execute(
|
||||
proc="objectstore_test.counts.loading")[0]["loading_count"]
|
||||
|
||||
assert complete_count == 2
|
||||
assert loading_count == 0
|
||||
assert date_set.issubset(expected_dates)
|
||||
assert len(date_set) == 2
|
||||
|
||||
|
||||
def test_process_objects_invalid_json(jm):
|
||||
"""process_objects fail for invalid json"""
|
||||
jm.store_job_data("invalid json")
|
||||
row_id = jm._get_last_insert_id("objectstore")
|
||||
|
||||
jm.process_objects(1)
|
||||
|
||||
row_data = jm.get_dhub(jm.CT_OBJECTSTORE).execute(
|
||||
proc="objectstore_test.selects.row", placeholders=[row_id])[0]
|
||||
|
||||
expected_error = "Malformed JSON: No JSON object could be decoded"
|
||||
|
||||
assert row_data['error'] == 'Y'
|
||||
assert row_data['error_msg'] == expected_error
|
||||
assert row_data['processed_state'] == 'ready'
|
||||
|
||||
|
||||
def test_process_objects_unknown_error(jm, monkeypatch):
|
||||
"""process_objects fail for unknown reason"""
|
||||
jm.store_job_data("{}")
|
||||
row_id = jm._get_last_insert_id("objectstore")
|
||||
|
||||
# force an unexpected error to occur
|
||||
def raise_error(*args, **kwargs):
|
||||
raise ValueError("Something blew up!")
|
||||
monkeypatch.setattr(jm, "load_job_data", raise_error)
|
||||
|
||||
jm.process_objects(1)
|
||||
|
||||
row_data = jm.get_dhub(jm.CT_OBJECTSTORE).execute(
|
||||
proc="objectstore_test.selects.row", placeholders=[row_id])[0]
|
||||
|
||||
expected_error_msg = "Unknown error: ValueError: Something blew up!"
|
||||
|
||||
assert row_data['error'] == 'Y'
|
||||
assert row_data['error_msg'] == expected_error_msg
|
||||
assert row_data['processed_state'] == 'ready'
|
||||
|
||||
|
||||
def test_ingest_sample_data(jm, sample_data):
|
||||
"""Process all job structures in the job_data.txt file"""
|
||||
print "start test_ingest_sample_data"
|
||||
for blob in sample_data.job_data[:250]:
|
||||
# print blob
|
||||
jm.store_job_data(json.dumps(blob))
|
||||
|
||||
#data_length = len(sample_data.job_data)
|
||||
data_length = 250
|
||||
|
||||
# process 10 rows at a time
|
||||
remaining = data_length
|
||||
while remaining:
|
||||
jm.process_objects(10)
|
||||
remaining -= 10
|
||||
|
||||
job_rows = jm.get_jobs_dhub().execute(
|
||||
proc="jobs_test.selects.jobs")
|
||||
|
||||
complete_count = jm.get_os_dhub().execute(
|
||||
proc="objectstore_test.counts.complete")[0]["complete_count"]
|
||||
loading_count = jm.get_os_dhub().execute(
|
||||
proc="objectstore_test.counts.loading")[0]["loading_count"]
|
||||
|
||||
print "start test_ingest_sample_data"
|
||||
|
||||
assert complete_count == data_length
|
||||
assert loading_count == 0
|
||||
assert len(job_rows) == data_length
|
|
@ -0,0 +1,28 @@
|
|||
{
|
||||
"counts": {
|
||||
"loading": {
|
||||
"sql": "SELECT COUNT(`id`) AS loading_count
|
||||
FROM `objectstore`
|
||||
WHERE processed_state = 'loading'
|
||||
",
|
||||
"host": "master_host"
|
||||
},
|
||||
"complete": {
|
||||
"sql": "SELECT COUNT(`id`) AS complete_count
|
||||
FROM `objectstore`
|
||||
WHERE processed_state = 'complete'
|
||||
",
|
||||
"host": "master_host"
|
||||
}
|
||||
},
|
||||
"selects": {
|
||||
"all": {
|
||||
"sql": "SELECT * FROM `objectstore`",
|
||||
"host": "master_host"
|
||||
},
|
||||
"row": {
|
||||
"sql": "SELECT * FROM `objectstore` WHERE id = ?",
|
||||
"host": "master_host"
|
||||
}
|
||||
}
|
||||
}
|
|
@ -5,29 +5,69 @@ access.
|
|||
"""
|
||||
from django.conf import settings
|
||||
|
||||
from treeherder.model.sql.datasource import SQLDataSource
|
||||
from treeherder.model.models import Datasource
|
||||
from treeherder.model.derived.refdata import RefDataManager
|
||||
|
||||
|
||||
class TreeherderModelBase(object):
|
||||
"""Base model class for all TreeHerder models"""
|
||||
"""
|
||||
Base model class for all derived models
|
||||
|
||||
"""
|
||||
|
||||
def __init__(self, project):
|
||||
"""Encapsulate the dataset access for this ``project`` """
|
||||
|
||||
self.project = project
|
||||
|
||||
self.sources = {}
|
||||
for ct in self.CONTENT_TYPES:
|
||||
self.sources[ct] = SQLDataSource(project, ct)
|
||||
|
||||
self.dhubs = {}
|
||||
self.DEBUG = settings.DEBUG
|
||||
self.refdata_model = RefDataManager()
|
||||
|
||||
def __unicode__(self):
|
||||
"""Unicode representation is project name."""
|
||||
return self.project
|
||||
|
||||
def disconnect(self):
|
||||
"""Iterate over and disconnect all data sources."""
|
||||
for src in self.sources.itervalues():
|
||||
src.disconnect()
|
||||
def get_dhub(self, contenttype, procs_file_name=None):
|
||||
"""
|
||||
The configured datahub for the given contenttype
|
||||
|
||||
def get_project_cache_key(self, str_data):
|
||||
return "{0}_{1}".format(self.project, str_data)
|
||||
"""
|
||||
if not procs_file_name:
|
||||
procs_file_name = "{0}.json".format(contenttype)
|
||||
|
||||
if not contenttype in self.dhubs.keys():
|
||||
self.dhubs[contenttype] = self.get_datasource(
|
||||
contenttype).dhub(procs_file_name)
|
||||
|
||||
return self.dhubs[contenttype]
|
||||
|
||||
def get_datasource(self, contenttype):
|
||||
"""The datasource for this contenttype of the project."""
|
||||
|
||||
if not contenttype in self.sources.keys():
|
||||
self.sources[contenttype] = self._get_datasource(contenttype)
|
||||
|
||||
return self.sources[contenttype]
|
||||
|
||||
def _get_datasource(self, contenttype):
|
||||
"""Find the datasource for this contenttype in the cache."""
|
||||
candidate_sources = []
|
||||
for source in Datasource.objects.cached():
|
||||
if (source.project == self.project and
|
||||
source.contenttype == contenttype):
|
||||
candidate_sources.append(source)
|
||||
|
||||
if not candidate_sources:
|
||||
raise DatasetNotFoundError(
|
||||
"No dataset found for project %r, contenttype %r."
|
||||
% (self.project, contenttype)
|
||||
)
|
||||
|
||||
candidate_sources.sort(key=lambda s: s.dataset, reverse=True)
|
||||
|
||||
return candidate_sources[0]
|
||||
|
||||
|
||||
class DatasetNotFoundError(ValueError):
|
||||
pass
|
||||
|
|
|
@ -0,0 +1,518 @@
|
|||
import json
|
||||
import MySQLdb
|
||||
|
||||
from warnings import filterwarnings, resetwarnings
|
||||
from django.conf import settings
|
||||
|
||||
from treeherder.model.models import Datasource
|
||||
from treeherder.model import utils
|
||||
|
||||
from .refdata import RefDataManager
|
||||
from .base import TreeherderModelBase
|
||||
|
||||
|
||||
class JobsModel(TreeherderModelBase):
|
||||
"""
|
||||
Represent a job repository with objectstore
|
||||
|
||||
content-types:
|
||||
jobs
|
||||
objectstore
|
||||
|
||||
"""
|
||||
|
||||
# content types that every project will have
|
||||
CT_JOBS = "jobs"
|
||||
CT_OBJECTSTORE = "objectstore"
|
||||
CONTENT_TYPES = [CT_JOBS, CT_OBJECTSTORE]
|
||||
|
||||
|
||||
@classmethod
|
||||
def create(cls, project, hosts=None, types=None):
|
||||
"""
|
||||
Create all the datasource tables for this project.
|
||||
|
||||
"""
|
||||
|
||||
for ct in [cls.CT_JOBS, cls.CT_OBJECTSTORE]:
|
||||
dataset = Datasource.get_latest_dataset(project, ct)
|
||||
source = Datasource(
|
||||
project=project,
|
||||
contenttype=ct,
|
||||
dataset=dataset or 1,
|
||||
)
|
||||
source.save()
|
||||
|
||||
return cls(project=project)
|
||||
|
||||
def get_jobs_dhub(self):
|
||||
"""Get the dhub for jobs"""
|
||||
return self.get_dhub(self.CT_JOBS)
|
||||
|
||||
def get_os_dhub(self):
|
||||
"""Get the dhub for the objectstore"""
|
||||
return self.get_dhub(self.CT_OBJECTSTORE)
|
||||
|
||||
##################
|
||||
#
|
||||
# Objectstore functionality
|
||||
#
|
||||
##################
|
||||
|
||||
def get_oauth_consumer_secret(self, key):
|
||||
"""Consumer secret for oauth"""
|
||||
ds = self.get_datasource(self.CT_OBJECTSTORE)
|
||||
secret = ds.get_oauth_consumer_secret(key)
|
||||
return secret
|
||||
|
||||
def _get_last_insert_id(self, contenttype=None):
|
||||
"""Return last-inserted ID."""
|
||||
if not contenttype:
|
||||
contenttype = self.CT_JOBS
|
||||
return self.get_dhub(contenttype).execute(
|
||||
proc='generic.selects.get_last_insert_id',
|
||||
debug_show=self.DEBUG,
|
||||
return_type='iter',
|
||||
).get_column_data('id')
|
||||
|
||||
def store_job_data(self, json_data, error=None):
|
||||
"""Write the JSON to the objectstore to be queued for processing."""
|
||||
|
||||
loaded_timestamp = utils.get_now_timestamp()
|
||||
error = "N" if error is None else "Y"
|
||||
error_msg = error or ""
|
||||
|
||||
self.get_os_dhub().execute(
|
||||
proc='objectstore.inserts.store_json',
|
||||
placeholders=[loaded_timestamp, json_data, error, error_msg],
|
||||
debug_show=self.DEBUG
|
||||
)
|
||||
|
||||
return self._get_last_insert_id()
|
||||
|
||||
def retrieve_job_data(self, limit):
|
||||
"""
|
||||
Retrieve JSON blobs from the objectstore.
|
||||
|
||||
Does not claim rows for processing; should not be used for actually
|
||||
processing JSON blobs into jobs schema.
|
||||
|
||||
Used only by the `transfer_data` management command.
|
||||
|
||||
"""
|
||||
proc = "objectstore.selects.get_unprocessed"
|
||||
json_blobs = self.get_os_dhub().execute(
|
||||
proc=proc,
|
||||
placeholders=[limit],
|
||||
debug_show=self.DEBUG,
|
||||
return_type='tuple'
|
||||
)
|
||||
|
||||
return json_blobs
|
||||
|
||||
def load_job_data(self, data):
|
||||
"""
|
||||
Load JobData instance into jobs db, return job_id.
|
||||
|
||||
@@@: should I return the job_guid instead?
|
||||
|
||||
Example:
|
||||
{
|
||||
"sources": [
|
||||
{
|
||||
"commit_timestamp": 1365732271,
|
||||
"push_timestamp": 1365732271,
|
||||
"comments": "Bug 854583 - Use _pointer_ instead of...",
|
||||
"repository": "mozilla-aurora",
|
||||
"revision": "c91ee0e8a980"
|
||||
}
|
||||
],
|
||||
"revision_hash": "24fd64b8251fac5cf60b54a915bffa7e51f636b5",
|
||||
"jobs": [
|
||||
{
|
||||
"build_platform": {
|
||||
"platform": "Ubuntu VM 12.04",
|
||||
"os_name": "linux",
|
||||
"architecture": "x86_64",
|
||||
"vm": true
|
||||
},
|
||||
"submit_timestamp": 1365732271,
|
||||
"start_timestamp": "20130411165317",
|
||||
"name": "xpcshell",
|
||||
"option_collection": {
|
||||
"opt": true
|
||||
},
|
||||
"log_references": [
|
||||
{
|
||||
"url": "http://ftp.mozilla.org/pub/...",
|
||||
"name": "unittest"
|
||||
}
|
||||
],
|
||||
"who": "sendchange-unittest",
|
||||
"reason": "scheduler",
|
||||
artifact:{
|
||||
type:" json | img | ...",
|
||||
name:"",
|
||||
log_urls:[
|
||||
]
|
||||
blob:""
|
||||
},
|
||||
"machine_platform": {
|
||||
"platform": "Ubuntu VM 12.04",
|
||||
"os_name": "linux",
|
||||
"architecture": "x86_64",
|
||||
"vm": true
|
||||
},
|
||||
"machine": "tst-linux64-ec2-314",
|
||||
"state": "TODO",
|
||||
"result": 0,
|
||||
"job_guid": "d19375ce775f0dc166de01daa5d2e8a73a8e8ebf",
|
||||
"product_name": "firefox",
|
||||
"end_timestamp": "1365733932"
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
"""
|
||||
|
||||
# @@@ sources
|
||||
|
||||
# Get/Set reference info, all inserts use ON DUPLICATE KEY
|
||||
|
||||
rdm = self.refdata_model
|
||||
job_id = -1
|
||||
for job in data["jobs"]:
|
||||
|
||||
build_platform_id = rdm.get_or_create_build_platform(
|
||||
job["build_platform"]["os_name"],
|
||||
job["build_platform"]["platform"],
|
||||
job["build_platform"]["architecture"],
|
||||
)
|
||||
|
||||
machine_platform_id = rdm.get_or_create_machine_platform(
|
||||
job["machine_platform"]["os_name"],
|
||||
job["machine_platform"]["platform"],
|
||||
job["machine_platform"]["architecture"],
|
||||
)
|
||||
|
||||
machine_id = rdm.get_or_create_machine(
|
||||
job["machine"],
|
||||
timestamp=max([
|
||||
job["start_timestamp"],
|
||||
job["submit_timestamp"],
|
||||
job["end_timestamp"],
|
||||
])
|
||||
)
|
||||
|
||||
option_collection_id = rdm.get_or_create_option_collection(
|
||||
[k for k, v in job["option_collection"].items() if v],
|
||||
)
|
||||
|
||||
job_group, sep, job_name = job["name"].partition("-")
|
||||
|
||||
job_type_id = rdm.get_or_create_job_type(
|
||||
job_name, job_group,
|
||||
)
|
||||
|
||||
product_id = rdm.get_or_create_product(
|
||||
job["product_name"],
|
||||
)
|
||||
|
||||
result_set_id = self._set_result_set(data["revision_hash"])
|
||||
|
||||
job_id = self._set_job_data(
|
||||
job,
|
||||
result_set_id,
|
||||
build_platform_id,
|
||||
machine_platform_id,
|
||||
machine_id,
|
||||
option_collection_id,
|
||||
job_type_id,
|
||||
product_id,
|
||||
)
|
||||
|
||||
for log_ref in job["log_references"]:
|
||||
self._insert_job_log_url(
|
||||
job_id,
|
||||
log_ref["name"],
|
||||
log_ref["url"]
|
||||
)
|
||||
|
||||
try:
|
||||
artifact = job["artifact"]
|
||||
self._insert_job_artifact(
|
||||
job_id,
|
||||
artifact["name"],
|
||||
artifact["type"],
|
||||
artifact["blob"],
|
||||
)
|
||||
|
||||
for log_ref in artifact["log_urls"]:
|
||||
self._insert_job_log_url(
|
||||
job_id,
|
||||
log_ref["name"],
|
||||
log_ref["url"]
|
||||
)
|
||||
|
||||
except KeyError:
|
||||
# it is ok to have an empty or missing artifact
|
||||
pass
|
||||
|
||||
return job_id
|
||||
|
||||
def _set_result_set(self, revision_hash):
|
||||
"""Set result set revision hash"""
|
||||
|
||||
result_set_id = self._insert_data_and_get_id(
|
||||
'set_result_set',
|
||||
[
|
||||
revision_hash,
|
||||
]
|
||||
)
|
||||
|
||||
return result_set_id
|
||||
|
||||
def _set_job_data(self, data, result_set_id, build_platform_id,
|
||||
machine_platform_id, machine_id, option_collection_id,
|
||||
job_type_id, product_id):
|
||||
"""Inserts job data into the db and returns job id."""
|
||||
|
||||
try:
|
||||
job_guid = data["job_guid"]
|
||||
|
||||
# @@@ jeads: not sure about job_coalesced_to_guid.
|
||||
# According to the sample data, this could be:
|
||||
#
|
||||
# coalesced: [
|
||||
# "job_guid",
|
||||
# ...
|
||||
# ]
|
||||
#
|
||||
# I think I need an
|
||||
# example of this in job_data.txt
|
||||
|
||||
job_coalesced_to_guid = ""
|
||||
|
||||
who = data["who"]
|
||||
reason = data["reason"]
|
||||
result = int(data["result"])
|
||||
state = data["state"]
|
||||
submit_timestamp = data["submit_timestamp"]
|
||||
start_timestamp = data["start_timestamp"]
|
||||
end_timestamp = data["end_timestamp"]
|
||||
|
||||
except ValueError as e:
|
||||
e.__class__ = JobDataError
|
||||
raise
|
||||
|
||||
job_id = self._insert_data_and_get_id(
|
||||
'set_job_data',
|
||||
[
|
||||
job_guid,
|
||||
job_coalesced_to_guid,
|
||||
result_set_id,
|
||||
build_platform_id,
|
||||
machine_platform_id,
|
||||
machine_id,
|
||||
option_collection_id,
|
||||
job_type_id,
|
||||
product_id,
|
||||
who,
|
||||
reason,
|
||||
result,
|
||||
state,
|
||||
submit_timestamp,
|
||||
start_timestamp,
|
||||
end_timestamp,
|
||||
]
|
||||
)
|
||||
|
||||
return job_id
|
||||
|
||||
def _insert_job_log_url(self, job_id, name, url):
|
||||
"""Insert job log data"""
|
||||
|
||||
self._insert_data(
|
||||
'set_job_log_url',
|
||||
[
|
||||
job_id, name, url
|
||||
]
|
||||
)
|
||||
|
||||
def _insert_job_artifact(self, job_id, name, artifact_type, blob):
|
||||
"""Insert job artifact """
|
||||
|
||||
self._insert_data(
|
||||
'set_job_artifact',
|
||||
[
|
||||
job_id, name, artifact_type, blob
|
||||
]
|
||||
)
|
||||
|
||||
def _insert_data(self, statement, placeholders, executemany=False):
|
||||
"""Insert a set of data using the specified proc ``statement``."""
|
||||
self.get_jobs_dhub().execute(
|
||||
proc='jobs.inserts.' + statement,
|
||||
debug_show=self.DEBUG,
|
||||
placeholders=placeholders,
|
||||
executemany=executemany,
|
||||
)
|
||||
|
||||
def _insert_data_and_get_id(self, statement, placeholders):
|
||||
"""Execute given insert statement, returning inserted ID."""
|
||||
self._insert_data(statement, placeholders)
|
||||
return self._get_last_insert_id()
|
||||
|
||||
def _get_last_insert_id(self, source="jobs"):
|
||||
"""Return last-inserted ID."""
|
||||
return self.get_dhub(source).execute(
|
||||
proc='generic.selects.get_last_insert_id',
|
||||
debug_show=self.DEBUG,
|
||||
return_type='iter',
|
||||
).get_column_data('id')
|
||||
|
||||
def process_objects(self, loadlimit):
|
||||
"""Processes JSON blobs from the objectstore into jobs schema."""
|
||||
rows = self.claim_objects(loadlimit)
|
||||
job_ids_loaded = []
|
||||
|
||||
for row in rows:
|
||||
row_id = int(row['id'])
|
||||
try:
|
||||
data = JobData.from_json(row['json_blob'])
|
||||
job_id = self.load_job_data(data)
|
||||
except JobDataError as e:
|
||||
self.mark_object_error(row_id, str(e))
|
||||
except Exception as e:
|
||||
self.mark_object_error(
|
||||
row_id,
|
||||
u"Unknown error: {0}: {1}".format(
|
||||
e.__class__.__name__, unicode(e))
|
||||
)
|
||||
else:
|
||||
self.mark_object_complete(row_id, job_id)
|
||||
job_ids_loaded.append(job_id)
|
||||
|
||||
return job_ids_loaded
|
||||
|
||||
def claim_objects(self, limit):
|
||||
"""
|
||||
Claim & return up to ``limit`` unprocessed blobs from the objectstore.
|
||||
|
||||
Returns a tuple of dictionaries with "json_blob" and "id" keys.
|
||||
|
||||
May return more than ``limit`` rows if there are existing orphaned rows
|
||||
that were claimed by an earlier connection with the same connection ID
|
||||
but never completed.
|
||||
|
||||
"""
|
||||
proc_mark = 'objectstore.updates.mark_loading'
|
||||
proc_get = 'objectstore.selects.get_claimed'
|
||||
|
||||
# Note: There is a bug in MySQL http://bugs.mysql.com/bug.php?id=42415
|
||||
# that causes the following warning to be generated in the production
|
||||
# environment:
|
||||
#
|
||||
# _mysql_exceptions.Warning: Unsafe statement written to the binary
|
||||
# log using statement format since BINLOG_FORMAT = STATEMENT. The
|
||||
# statement is unsafe because it uses a LIMIT clause. This is
|
||||
# unsafe because the set of rows included cannot be predicted.
|
||||
#
|
||||
# I have been unable to generate the warning in the development
|
||||
# environment because the warning is specific to the master/slave
|
||||
# replication environment which only exists in production.In the
|
||||
# production environment the generation of this warning is causing
|
||||
# the program to exit.
|
||||
#
|
||||
# The mark_loading SQL statement does execute an UPDATE/LIMIT but now
|
||||
# implements an "ORDER BY id" clause making the UPDATE
|
||||
# deterministic/safe. I've been unsuccessfull capturing the specific
|
||||
# warning generated without redirecting program flow control. To
|
||||
# ressolve the problem in production, we're disabling MySQLdb.Warnings
|
||||
# before executing mark_loading and then re-enabling warnings
|
||||
# immediately after. If this bug is ever fixed in mysql this handling
|
||||
# should be removed. Holy Hackery! -Jeads
|
||||
filterwarnings('ignore', category=MySQLdb.Warning)
|
||||
|
||||
# Note: this claims rows for processing. Failure to call load_job_data
|
||||
# on this data will result in some json blobs being stuck in limbo
|
||||
# until another worker comes along with the same connection ID.
|
||||
self.get_os_dhub().execute(
|
||||
proc=proc_mark,
|
||||
placeholders=[limit],
|
||||
debug_show=self.DEBUG,
|
||||
)
|
||||
|
||||
resetwarnings()
|
||||
|
||||
# Return all JSON blobs claimed by this connection ID (could possibly
|
||||
# include orphaned rows from a previous run).
|
||||
json_blobs = self.get_os_dhub().execute(
|
||||
proc=proc_get,
|
||||
debug_show=self.DEBUG,
|
||||
return_type='tuple'
|
||||
)
|
||||
|
||||
return json_blobs
|
||||
|
||||
def mark_object_complete(self, object_id, job_id):
|
||||
""" Call to database to mark the task completed """
|
||||
self.get_os_dhub().execute(
|
||||
proc="objectstore.updates.mark_complete",
|
||||
placeholders=[job_id, object_id],
|
||||
debug_show=self.DEBUG
|
||||
)
|
||||
|
||||
def mark_object_error(self, object_id, error):
|
||||
""" Call to database to mark the task completed """
|
||||
self.get_os_dhub().execute(
|
||||
proc="objectstore.updates.mark_error",
|
||||
placeholders=[error, object_id],
|
||||
debug_show=self.DEBUG
|
||||
)
|
||||
|
||||
|
||||
class JobDataError(ValueError):
|
||||
pass
|
||||
|
||||
|
||||
class JobData(dict):
|
||||
"""
|
||||
Encapsulates data access from incoming test data structure.
|
||||
|
||||
All missing-data errors raise ``JobDataError`` with a useful
|
||||
message. Unlike regular nested dictionaries, ``JobData`` keeps track of
|
||||
context, so errors contain not only the name of the immediately-missing
|
||||
key, but the full parent-key context as well.
|
||||
|
||||
"""
|
||||
def __init__(self, data, context=None):
|
||||
"""Initialize ``JobData`` with a data dict and a context list."""
|
||||
self.context = context or []
|
||||
super(JobData, self).__init__(data)
|
||||
|
||||
@classmethod
|
||||
def from_json(cls, json_blob):
|
||||
"""Create ``JobData`` from a JSON string."""
|
||||
try:
|
||||
data = json.loads(json_blob)
|
||||
except ValueError as e:
|
||||
raise JobDataError("Malformed JSON: {0}".format(e))
|
||||
|
||||
return cls(data)
|
||||
|
||||
def __getitem__(self, name):
|
||||
"""Get a data value, raising ``JobDataError`` if missing."""
|
||||
full_context = list(self.context) + [name]
|
||||
|
||||
try:
|
||||
value = super(JobData, self).__getitem__(name)
|
||||
except KeyError:
|
||||
raise JobDataError("Missing data: {0}.".format(
|
||||
"".join(["['{0}']".format(c) for c in full_context])))
|
||||
|
||||
# Provide the same behavior recursively to nested dictionaries.
|
||||
if isinstance(value, dict):
|
||||
value = self.__class__(value, full_context)
|
||||
|
||||
return value
|
|
@ -2,7 +2,6 @@ import os
|
|||
from django.conf import settings
|
||||
from datasource.bases.BaseHub import BaseHub
|
||||
from datasource.DataHub import DataHub
|
||||
from .base import TreeherderModelBase
|
||||
|
||||
|
||||
class RefDataManager(object):
|
||||
|
|
|
@ -38,10 +38,11 @@ Are you sure you want to do this?
|
|||
Type 'yes' to continue, or 'no' to cancel: """ % connection.settings_dict['NAME'])
|
||||
else:
|
||||
confirm = 'yes'
|
||||
|
||||
|
||||
if confirm == 'yes':
|
||||
for sql_file in ('treeherder.sql.tmpl',
|
||||
'treeherder_reference_1.sql.tmpl'):
|
||||
'treeherder_reference_1.sql.tmpl',
|
||||
):
|
||||
|
||||
sql = open(os.path.join(options['template_path'], sql_file)).read()
|
||||
cursor = connection.cursor()
|
||||
|
|
|
@ -1,12 +1,16 @@
|
|||
from __future__ import unicode_literals
|
||||
|
||||
import uuid
|
||||
import subprocess
|
||||
import os
|
||||
from django.core.cache import cache
|
||||
from django.db import models
|
||||
from django.conf import settings
|
||||
|
||||
from datasource.bases.BaseHub import BaseHub
|
||||
from datasource.hubs.MySQL import MySQL
|
||||
from django.conf import settings
|
||||
from django.core.cache import cache
|
||||
from django.db import models
|
||||
from django.db.models import Max
|
||||
|
||||
from treeherder import path
|
||||
|
||||
|
||||
|
@ -154,13 +158,26 @@ class MachineNote(models.Model):
|
|||
|
||||
class DatasourceManager(models.Manager):
|
||||
def cached(self):
|
||||
"""Return all datasources, caching the results."""
|
||||
"""
|
||||
Return all datasources, caching the results.
|
||||
|
||||
"""
|
||||
sources = cache.get(SOURCES_CACHE_KEY)
|
||||
if not sources:
|
||||
sources = list(self.all())
|
||||
cache.set(SOURCES_CACHE_KEY, sources)
|
||||
return sources
|
||||
|
||||
def latest(self, project, contenttype):
|
||||
"""
|
||||
@@@ TODO: this needs to use the cache, probably
|
||||
"""
|
||||
ds = Datasource.get_latest_dataset(project, contenttype)
|
||||
return self.get(
|
||||
project=project,
|
||||
contenttype=contenttype,
|
||||
dataset=ds)
|
||||
|
||||
|
||||
class Datasource(models.Model):
|
||||
id = models.IntegerField(primary_key=True)
|
||||
|
@ -189,6 +206,14 @@ class Datasource(models.Model):
|
|||
cache.delete(SOURCES_CACHE_KEY)
|
||||
cls.objects.cached()
|
||||
|
||||
@classmethod
|
||||
def get_latest_dataset(cls, project, contenttype):
|
||||
"""get the latest dataset"""
|
||||
return cls.objects.filter(
|
||||
project=project,
|
||||
contenttype=contenttype,
|
||||
).aggregate(Max("dataset"))["dataset__max"]
|
||||
|
||||
@property
|
||||
def key(self):
|
||||
"""Unique key for a data source is the project, contenttype, dataset."""
|
||||
|
@ -199,6 +224,31 @@ class Datasource(models.Model):
|
|||
"""Unicode representation is the project's unique key."""
|
||||
return unicode(self.key)
|
||||
|
||||
def create_next_dataset(self, schema_file=None):
|
||||
"""
|
||||
Create and return the next dataset for this project/contenttype.
|
||||
|
||||
The database for the new dataset will be located on the same host.
|
||||
|
||||
"""
|
||||
dataset = Datasource.objects.filter(
|
||||
project=self.project,
|
||||
contenttype=self.contenttype
|
||||
).order_by("-dataset")[0].dataset + 1
|
||||
|
||||
# @@@ should we store the schema file name used for the previous
|
||||
# dataset in the db and use the same one again automatically? or should
|
||||
# we actually copy the schema of an existing dataset rather than using
|
||||
# a schema file at all?
|
||||
return Datasource.objects.create(
|
||||
project=self.project,
|
||||
contenttype=self.contenttype,
|
||||
dataset=dataset,
|
||||
host=self.datasource.host,
|
||||
db_type=self.datasource.type,
|
||||
schema_file=schema_file,
|
||||
)
|
||||
|
||||
def save(self, *args, **kwargs):
|
||||
inserting = not self.pk
|
||||
# in case you want to add a new datasource and provide
|
||||
|
|
|
@ -0,0 +1,21 @@
|
|||
{
|
||||
"selects":{
|
||||
"get_last_insert_id":{
|
||||
|
||||
"sql":"SELECT LAST_INSERT_ID() AS `id`",
|
||||
|
||||
"host":"master_host"
|
||||
},
|
||||
|
||||
"get_db_size":{
|
||||
"sql":"SELECT table_schema as db_name,
|
||||
round(sum( data_length + index_length ) / 1024 / 1024, 2) as size_mb
|
||||
FROM information_schema.TABLES
|
||||
WHERE TABLE_SCHEMA like ?
|
||||
GROUP BY TABLE_SCHEMA
|
||||
",
|
||||
|
||||
"host":"read_host"
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,64 @@
|
|||
{
|
||||
"views":{
|
||||
|
||||
},
|
||||
"inserts":{
|
||||
"set_job_data":{
|
||||
|
||||
"sql":"INSERT INTO `job` (
|
||||
`job_guid`,
|
||||
`job_coalesced_to_guid`,
|
||||
`result_set_id`,
|
||||
`build_platform_id`,
|
||||
`machine_platform_id`,
|
||||
`machine_id`,
|
||||
`option_collection_id`,
|
||||
`job_type_id`,
|
||||
`product_id`,
|
||||
`who`,
|
||||
`reason`,
|
||||
`result`,
|
||||
`state`,
|
||||
`submit_timestamp`,
|
||||
`start_timestamp`,
|
||||
`end_timestamp`)
|
||||
VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)",
|
||||
|
||||
"host":"master_host"
|
||||
},
|
||||
"set_result_set":{
|
||||
|
||||
"sql":"INSERT INTO `result_set` (
|
||||
`revision_hash`)
|
||||
VALUES (?)",
|
||||
|
||||
"host":"master_host"
|
||||
},
|
||||
"set_job_log_url":{
|
||||
|
||||
"sql":"INSERT INTO `job_log_url` (
|
||||
`job_id`,
|
||||
`name`,
|
||||
`url`)
|
||||
VALUES (?,?,?)",
|
||||
|
||||
"host":"master_host"
|
||||
},
|
||||
"set_job_artifact":{
|
||||
|
||||
"sql":"INSERT INTO `job_artifact` (
|
||||
`job_id`,
|
||||
`name`,
|
||||
`type`,
|
||||
`blob`)
|
||||
VALUES (?,?,?)",
|
||||
|
||||
"host":"master_host"
|
||||
}
|
||||
|
||||
},
|
||||
"selects":{
|
||||
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,145 @@
|
|||
{
|
||||
"inserts":{
|
||||
"store_json":{
|
||||
|
||||
"sql":"INSERT INTO `objectstore` (`loaded_timestamp`,
|
||||
`json_blob`,
|
||||
`error`,
|
||||
`error_msg`)
|
||||
VALUES (?, ?, ?, ?)
|
||||
",
|
||||
|
||||
"host":"master_host"
|
||||
}
|
||||
},
|
||||
|
||||
"selects":{
|
||||
"get_claimed":{
|
||||
|
||||
"sql":"SELECT `json_blob`, `id`
|
||||
FROM `objectstore`
|
||||
WHERE `worker_id` = CONNECTION_ID()
|
||||
AND `processed_state` = 'loading'
|
||||
AND `error` = 'N'",
|
||||
|
||||
"host":"master_host"
|
||||
},
|
||||
|
||||
"get_unprocessed":{
|
||||
|
||||
"sql":"SELECT `json_blob`, `id`
|
||||
FROM `objectstore`
|
||||
WHERE `processed_state` = 'ready'
|
||||
AND `error` = 'N'
|
||||
LIMIT ?",
|
||||
|
||||
"host":"master_host"
|
||||
},
|
||||
|
||||
"get_all_errors":{
|
||||
|
||||
"sql":"SELECT `json_blob`, `id`
|
||||
FROM `objectstore`
|
||||
WHERE `error` = 'Y'
|
||||
AND loaded_timestamp BETWEEN ? AND ?",
|
||||
|
||||
"host":"read_host"
|
||||
},
|
||||
|
||||
"get_error_metadata":{
|
||||
|
||||
"sql":"SELECT `id`, job_id, loaded_timestamp, processed_state, error_msg, worker_id
|
||||
FROM `objectstore`
|
||||
WHERE `error` = 'Y'
|
||||
AND loaded_timestamp BETWEEN ? AND ?",
|
||||
|
||||
"host":"read_host"
|
||||
},
|
||||
|
||||
"get_json_blob":{
|
||||
|
||||
"sql":"SELECT json_blob,
|
||||
error_msg,
|
||||
error,
|
||||
processed_state,
|
||||
loaded_timestamp,
|
||||
job_id
|
||||
FROM `objectstore` WHERE `id` = ?",
|
||||
|
||||
"host":"read_host"
|
||||
},
|
||||
|
||||
"get_json_blob_for_test_run":{
|
||||
|
||||
"sql":"SELECT json_blob, error_msg, error
|
||||
FROM `objectstore`
|
||||
WHERE `job_id` IN (REP0)",
|
||||
|
||||
"host":"read_host"
|
||||
},
|
||||
|
||||
"get_error_counts":{
|
||||
|
||||
"sql":"SELECT
|
||||
(CASE
|
||||
WHEN error_msg LIKE 'Malformed JSON%'
|
||||
THEN 'Malformed JSON'
|
||||
ELSE 'Other'
|
||||
END) AS message, count(id) AS count
|
||||
FROM `objectstore`
|
||||
WHERE `error` = 'Y'
|
||||
AND loaded_timestamp BETWEEN REP0 AND REP1
|
||||
GROUP BY message",
|
||||
|
||||
"host":"read_host"
|
||||
}
|
||||
|
||||
},
|
||||
|
||||
"updates":{
|
||||
"mark_loading":{
|
||||
|
||||
"sql":"UPDATE `objectstore`
|
||||
SET `processed_state` = 'loading',
|
||||
`worker_id` = CONNECTION_ID()
|
||||
WHERE `processed_state` = 'ready'
|
||||
AND `error` = 'N'
|
||||
ORDER BY `id`
|
||||
LIMIT ?
|
||||
",
|
||||
|
||||
"host":"master_host"
|
||||
|
||||
},
|
||||
|
||||
"mark_complete":{
|
||||
|
||||
"sql":"UPDATE `objectstore`
|
||||
SET `processed_state` = 'complete', `job_id` = ?
|
||||
WHERE `processed_state` = 'loading'
|
||||
AND `id` = ?
|
||||
AND `worker_id` = CONNECTION_ID()
|
||||
",
|
||||
|
||||
"host":"master_host"
|
||||
|
||||
},
|
||||
|
||||
"mark_error":{
|
||||
|
||||
"sql":"UPDATE `objectstore`
|
||||
SET `processed_state` = 'ready',
|
||||
`worker_id` = NULL,
|
||||
`error` = 'Y',
|
||||
`error_msg` = ?
|
||||
WHERE `processed_state` = 'loading'
|
||||
AND `id` = ?
|
||||
AND `worker_id` = CONNECTION_ID()
|
||||
",
|
||||
|
||||
"host":"master_host"
|
||||
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -46,7 +46,11 @@ class SQLDataSource(object):
|
|||
def datasource(self):
|
||||
"""The DataSource model object backing this SQLDataSource."""
|
||||
if self._datasource is None:
|
||||
self._datasource = self._get_datasource()
|
||||
self._datasource = Datasource(
|
||||
project=self.project,
|
||||
contenttype=self.contenttype,
|
||||
)
|
||||
# self._datasource = self._get_datasource()
|
||||
return self._datasource
|
||||
|
||||
@property
|
||||
|
@ -90,7 +94,7 @@ class SQLDataSource(object):
|
|||
The database for the new dataset will be located on the same host.
|
||||
|
||||
"""
|
||||
dataset = DataSource.objects.filter(
|
||||
dataset = Datasource.objects.filter(
|
||||
project=self.project,
|
||||
contenttype=self.contenttype
|
||||
).order_by("-dataset")[0].dataset + 1
|
||||
|
@ -156,7 +160,7 @@ class SQLDataSource(object):
|
|||
oauth_consumer_key = uuid.uuid4()
|
||||
oauth_consumer_secret = uuid.uuid4()
|
||||
|
||||
ds = DataSource.objects.create(
|
||||
ds = Datasource.objects.create(
|
||||
host=host,
|
||||
project=project,
|
||||
contenttype=contenttype,
|
|
@ -0,0 +1,14 @@
|
|||
import time
|
||||
import datetime
|
||||
import sys
|
||||
|
||||
|
||||
def get_now_timestamp():
|
||||
"""
|
||||
Return a unix timestamp for the current time.
|
||||
|
||||
This is useful because it can be mocked out in unit tests.
|
||||
"""
|
||||
return int(time.time())
|
||||
|
||||
|
Загрузка…
Ссылка в новой задаче