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38b8db8051
* Carapal react mockup This is really just a mock up written in React to try different components. It could become scaffolding to build a prototype, or not. * Merging in Alanna's theme tweaks for SQL lab * Tweak the display of the alert message in navbar * Sketching the middleware refresh for Queries * Adjustments * Implement timer sync. * CTAS * Refactor the queries to be stored as a dict. (#994) * Download csv endpoint. (#992) * CSV download engdpoint. * Use lower case booleans. * Replcate loop with the object lookup by key. * First changes for the sync * Address comments * Fix query deletions. Update only the queries from the store. * Sync queries using tmp_id. * simplify * Fix the tests in the carapal. (#1023) * Sync queries using tmp_id. * Fix the unit tests * Bux fixes. Pass 2. * Tweakin' & linting * Adding alpha label to the SQL LAb navbar entry * Fixing the python unit tests
130 lines
3.9 KiB
Python
130 lines
3.9 KiB
Python
"""Unit tests for Caravel"""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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from datetime import datetime
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import unittest
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from mock import Mock, patch
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from caravel import db
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from caravel.models import DruidCluster
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from .base_tests import CaravelTestCase
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SEGMENT_METADATA = [{
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"id": "some_id",
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"intervals": ["2013-05-13T00:00:00.000Z/2013-05-14T00:00:00.000Z"],
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"columns": {
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"__time": {
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"type": "LONG", "hasMultipleValues": False,
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"size": 407240380, "cardinality": None, "errorMessage": None},
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"dim1": {
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"type": "STRING", "hasMultipleValues": False,
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"size": 100000, "cardinality": 1944, "errorMessage": None},
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"dim2": {
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"type": "STRING", "hasMultipleValues": True,
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"size": 100000, "cardinality": 1504, "errorMessage": None},
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"metric1": {
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"type": "FLOAT", "hasMultipleValues": False,
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"size": 100000, "cardinality": None, "errorMessage": None}
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},
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"aggregators": {
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"metric1": {
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"type": "longSum",
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"name": "metric1",
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"fieldName": "metric1"}
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},
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"size": 300000,
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"numRows": 5000000
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}]
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GB_RESULT_SET = [
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{
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"version": "v1",
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"timestamp": "2012-01-01T00:00:00.000Z",
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"event": {
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"name": 'Canada',
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"sum__num": 12345678,
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}
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},
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{
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"version": "v1",
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"timestamp": "2012-01-01T00:00:00.000Z",
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"event": {
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"name": 'USA',
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"sum__num": 12345678 / 2,
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}
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},
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]
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class DruidTests(CaravelTestCase):
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"""Testing interactions with Druid"""
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def __init__(self, *args, **kwargs):
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super(DruidTests, self).__init__(*args, **kwargs)
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@patch('caravel.models.PyDruid')
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def test_client(self, PyDruid):
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self.login(username='admin')
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instance = PyDruid.return_value
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instance.time_boundary.return_value = [
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{'result': {'maxTime': '2016-01-01'}}]
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instance.segment_metadata.return_value = SEGMENT_METADATA
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cluster = (
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db.session
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.query(DruidCluster)
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.filter_by(cluster_name='test_cluster')
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.first()
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)
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if cluster:
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db.session.delete(cluster)
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db.session.commit()
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cluster = DruidCluster(
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cluster_name='test_cluster',
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coordinator_host='localhost',
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coordinator_port=7979,
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broker_host='localhost',
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broker_port=7980,
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metadata_last_refreshed=datetime.now())
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db.session.add(cluster)
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cluster.get_datasources = Mock(return_value=['test_datasource'])
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cluster.get_druid_version = Mock(return_value='0.9.1')
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cluster.refresh_datasources()
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datasource_id = cluster.datasources[0].id
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db.session.commit()
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resp = self.client.get('/caravel/explore/druid/{}/'.format(
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datasource_id))
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assert "[test_cluster].[test_datasource]" in resp.data.decode('utf-8')
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nres = [
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list(v['event'].items()) + [('timestamp', v['timestamp'])]
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for v in GB_RESULT_SET]
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nres = [dict(v) for v in nres]
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import pandas as pd
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df = pd.DataFrame(nres)
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instance.export_pandas.return_value = df
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instance.query_dict = {}
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instance.query_builder.last_query.query_dict = {}
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resp = self.client.get(
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'/caravel/explore/druid/{}/?viz_type=table&granularity=one+day&'
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'druid_time_origin=&since=7+days+ago&until=now&row_limit=5000&'
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'include_search=false&metrics=count&groupby=name&flt_col_0=dim1&'
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'flt_op_0=in&flt_eq_0=&slice_id=&slice_name=&collapsed_fieldsets=&'
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'action=&datasource_name=test_datasource&datasource_id={}&'
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'datasource_type=druid&previous_viz_type=table&json=true&'
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'force=true'.format(datasource_id, datasource_id))
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assert "Canada" in resp.data.decode('utf-8')
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if __name__ == '__main__':
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unittest.main()
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