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|
# -*- coding: utf-8 -*-
"""
unit tests for misc module
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from .client_test import _mocked_session
import unittest
import json
import requests_mock
from nose.tools import raises
from datetime import timedelta
from influxdb.tests import skipIfPYpy, using_pypy
import warnings
if not using_pypy:
import pandas as pd
from pandas.util.testing import assert_frame_equal
from influxdb import DataFrameClient
@skipIfPYpy
class TestDataFrameClient(unittest.TestCase):
def setUp(self):
# By default, raise exceptions on warnings
warnings.simplefilter('error', FutureWarning)
def test_write_points_from_dataframe(self):
now = pd.Timestamp('1970-01-01 00:00+00:00')
dataframe = pd.DataFrame(data=[["1", 1, 1.0], ["2", 2, 2.0]],
index=[now, now + timedelta(hours=1)],
columns=["column_one", "column_two",
"column_three"])
expected = (
b"foo column_one=\"1\",column_three=1.0,column_two=1i 0\n"
b"foo column_one=\"2\",column_three=2.0,column_two=2i "
b"3600000000000\n"
)
with requests_mock.Mocker() as m:
m.register_uri(requests_mock.POST,
"http://localhost:8086/write",
status_code=204)
cli = DataFrameClient(database='db')
cli.write_points(dataframe, 'foo')
self.assertEqual(m.last_request.body, expected)
cli.write_points(dataframe, 'foo', tags=None)
self.assertEqual(m.last_request.body, expected)
def test_write_points_from_dataframe_in_batches(self):
now = pd.Timestamp('1970-01-01 00:00+00:00')
dataframe = pd.DataFrame(data=[["1", 1, 1.0], ["2", 2, 2.0]],
index=[now, now + timedelta(hours=1)],
columns=["column_one", "column_two",
"column_three"])
with requests_mock.Mocker() as m:
m.register_uri(requests_mock.POST,
"http://localhost:8086/write",
status_code=204)
cli = DataFrameClient(database='db')
self.assertTrue(cli.write_points(dataframe, "foo", batch_size=1))
def test_write_points_from_dataframe_with_numeric_column_names(self):
now = pd.Timestamp('1970-01-01 00:00+00:00')
# df with numeric column names
dataframe = pd.DataFrame(data=[["1", 1, 1.0], ["2", 2, 2.0]],
index=[now, now + timedelta(hours=1)])
expected = (
b'foo,hello=there 0=\"1\",1=1i,2=1.0 0\n'
b'foo,hello=there 0=\"2\",1=2i,2=2.0 3600000000000\n'
)
with requests_mock.Mocker() as m:
m.register_uri(requests_mock.POST,
"http://localhost:8086/write",
status_code=204)
cli = DataFrameClient(database='db')
cli.write_points(dataframe, "foo", {"hello": "there"})
self.assertEqual(m.last_request.body, expected)
def test_write_points_from_dataframe_with_period_index(self):
dataframe = pd.DataFrame(data=[["1", 1, 1.0], ["2", 2, 2.0]],
index=[pd.Period('1970-01-01'),
pd.Period('1970-01-02')],
columns=["column_one", "column_two",
"column_three"])
expected = (
b"foo column_one=\"1\",column_three=1.0,column_two=1i 0\n"
b"foo column_one=\"2\",column_three=2.0,column_two=2i "
b"86400000000000\n"
)
with requests_mock.Mocker() as m:
m.register_uri(requests_mock.POST,
"http://localhost:8086/write",
status_code=204)
cli = DataFrameClient(database='db')
cli.write_points(dataframe, "foo")
self.assertEqual(m.last_request.body, expected)
def test_write_points_from_dataframe_with_time_precision(self):
now = pd.Timestamp('1970-01-01 00:00+00:00')
dataframe = pd.DataFrame(data=[["1", 1, 1.0], ["2", 2, 2.0]],
index=[now, now + timedelta(hours=1)],
columns=["column_one", "column_two",
"column_three"])
with requests_mock.Mocker() as m:
m.register_uri(requests_mock.POST,
"http://localhost:8086/write",
status_code=204)
cli = DataFrameClient(database='db')
measurement = "foo"
cli.write_points(dataframe, measurement, time_precision='h')
self.assertEqual(m.last_request.qs['precision'], ['h'])
self.assertEqual(
b'foo column_one="1",column_three=1.0,column_two=1i 0\nfoo '
b'column_one="2",column_three=2.0,column_two=2i 1\n',
m.last_request.body,
)
cli.write_points(dataframe, measurement, time_precision='m')
self.assertEqual(m.last_request.qs['precision'], ['m'])
self.assertEqual(
b'foo column_one="1",column_three=1.0,column_two=1i 0\nfoo '
b'column_one="2",column_three=2.0,column_two=2i 60\n',
m.last_request.body,
)
cli.write_points(dataframe, measurement, time_precision='s')
self.assertEqual(m.last_request.qs['precision'], ['s'])
self.assertEqual(
b'foo column_one="1",column_three=1.0,column_two=1i 0\nfoo '
b'column_one="2",column_three=2.0,column_two=2i 3600\n',
m.last_request.body,
)
cli.write_points(dataframe, measurement, time_precision='ms')
self.assertEqual(m.last_request.qs['precision'], ['ms'])
self.assertEqual(
b'foo column_one="1",column_three=1.0,column_two=1i 0\nfoo '
b'column_one="2",column_three=2.0,column_two=2i 3600000\n',
m.last_request.body,
)
cli.write_points(dataframe, measurement, time_precision='u')
self.assertEqual(m.last_request.qs['precision'], ['u'])
self.assertEqual(
b'foo column_one="1",column_three=1.0,column_two=1i 0\nfoo '
b'column_one="2",column_three=2.0,column_two=2i 3600000000\n',
m.last_request.body,
)
cli.write_points(dataframe, measurement, time_precision='n')
self.assertEqual(m.last_request.qs['precision'], ['n'])
self.assertEqual(
b'foo column_one="1",column_three=1.0,column_two=1i 0\n'
b'foo column_one="2",column_three=2.0,column_two=2i '
b'3600000000000\n',
m.last_request.body,
)
@raises(TypeError)
def test_write_points_from_dataframe_fails_without_time_index(self):
dataframe = pd.DataFrame(data=[["1", 1, 1.0], ["2", 2, 2.0]],
columns=["column_one", "column_two",
"column_three"])
with requests_mock.Mocker() as m:
m.register_uri(requests_mock.POST,
"http://localhost:8086/db/db/series",
status_code=204)
cli = DataFrameClient(database='db')
cli.write_points(dataframe, "foo")
@raises(TypeError)
def test_write_points_from_dataframe_fails_with_series(self):
now = pd.Timestamp('1970-01-01 00:00+00:00')
dataframe = pd.Series(data=[1.0, 2.0],
index=[now, now + timedelta(hours=1)])
with requests_mock.Mocker() as m:
m.register_uri(requests_mock.POST,
"http://localhost:8086/db/db/series",
status_code=204)
cli = DataFrameClient(database='db')
cli.write_points(dataframe, "foo")
def test_query_into_dataframe(self):
data = {
"results": [{
"series": [
{"measurement": "network",
"tags": {"direction": ""},
"columns": ["time", "value"],
"values":[["2009-11-10T23:00:00Z", 23422]]
},
{"measurement": "network",
"tags": {"direction": "in"},
"columns": ["time", "value"],
"values": [["2009-11-10T23:00:00Z", 23422],
["2009-11-10T23:00:00Z", 23422],
["2009-11-10T23:00:00Z", 23422]]
}
]
}]
}
pd1 = pd.DataFrame(
[[23422]], columns=['value'],
index=pd.to_datetime(["2009-11-10T23:00:00Z"]))
pd1.index = pd1.index.tz_localize('UTC')
pd2 = pd.DataFrame(
[[23422], [23422], [23422]], columns=['value'],
index=pd.to_datetime(["2009-11-10T23:00:00Z",
"2009-11-10T23:00:00Z",
"2009-11-10T23:00:00Z"]))
pd2.index = pd2.index.tz_localize('UTC')
expected = {
('network', (('direction', ''),)): pd1,
('network', (('direction', 'in'),)): pd2
}
cli = DataFrameClient('host', 8086, 'username', 'password', 'db')
with _mocked_session(cli, 'GET', 200, data):
result = cli.query('select value from network group by direction;')
for k in expected:
assert_frame_equal(expected[k], result[k])
def test_multiquery_into_dataframe(self):
data = {
"results": [
{
"series": [
{
"name": "cpu_load_short",
"columns": ["time", "value"],
"values": [
["2015-01-29T21:55:43.702900257Z", 0.55],
["2015-01-29T21:55:43.702900257Z", 23422],
["2015-06-11T20:46:02Z", 0.64]
]
}
]
}, {
"series": [
{
"name": "cpu_load_short",
"columns": ["time", "count"],
"values": [
["1970-01-01T00:00:00Z", 3]
]
}
]
}
]
}
pd1 = pd.DataFrame(
[[0.55], [23422.0], [0.64]], columns=['value'],
index=pd.to_datetime([
"2015-01-29 21:55:43.702900257+0000",
"2015-01-29 21:55:43.702900257+0000",
"2015-06-11 20:46:02+0000"])).tz_localize('UTC')
pd2 = pd.DataFrame(
[[3]], columns=['count'],
index=pd.to_datetime(["1970-01-01 00:00:00+00:00"]))\
.tz_localize('UTC')
expected = [{'cpu_load_short': pd1}, {'cpu_load_short': pd2}]
cli = DataFrameClient('host', 8086, 'username', 'password', 'db')
iql = "SELECT value FROM cpu_load_short WHERE region='us-west';"\
"SELECT count(value) FROM cpu_load_short WHERE region='us-west'"
with _mocked_session(cli, 'GET', 200, data):
result = cli.query(iql)
for r, e in zip(result, expected):
for k in e:
assert_frame_equal(e[k], r[k])
def test_query_with_empty_result(self):
cli = DataFrameClient('host', 8086, 'username', 'password', 'db')
with _mocked_session(cli, 'GET', 200, {"results": [{}]}):
result = cli.query('select column_one from foo;')
self.assertEqual(result, {})
def test_get_list_database(self):
data = {'results': [
{'series': [
{'measurement': 'databases',
'values': [
['new_db_1'],
['new_db_2']],
'columns': ['name']}]}
]}
cli = DataFrameClient('host', 8086, 'username', 'password', 'db')
with _mocked_session(cli, 'get', 200, json.dumps(data)):
self.assertListEqual(
cli.get_list_database(),
[{'name': 'new_db_1'}, {'name': 'new_db_2'}]
)
def test_datetime_to_epoch(self):
timestamp = pd.Timestamp('2013-01-01 00:00:00.000+00:00')
cli = DataFrameClient('host', 8086, 'username', 'password', 'db')
self.assertEqual(
cli._datetime_to_epoch(timestamp),
1356998400.0
)
self.assertEqual(
cli._datetime_to_epoch(timestamp, time_precision='h'),
1356998400.0 / 3600
)
self.assertEqual(
cli._datetime_to_epoch(timestamp, time_precision='m'),
1356998400.0 / 60
)
self.assertEqual(
cli._datetime_to_epoch(timestamp, time_precision='s'),
1356998400.0
)
self.assertEqual(
cli._datetime_to_epoch(timestamp, time_precision='ms'),
1356998400000.0
)
self.assertEqual(
cli._datetime_to_epoch(timestamp, time_precision='u'),
1356998400000000.0
)
self.assertEqual(
cli._datetime_to_epoch(timestamp, time_precision='n'),
1356998400000000000.0
)
|
