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# -*- coding: utf-8 -*-
"""Unit tests for misc module."""
from datetime import timedelta
import copy
import json
import unittest
import warnings
import requests_mock
from functools import wraps
def raises(*exceptions):
valid = ' or '.join([e.__name__ for e in exceptions])
def decorate(func):
name = func.__name__
def newfunc(*arg, **kw):
try:
func(*arg, **kw)
except exceptions:
pass
except:
raise
else:
message = "%s() did not raise %s" % (name, valid)
raise AssertionError(message)
newfunc = wraps(func)(newfunc)
return newfunc
return decorate
from influxdb.tests import skip_if_pypy, using_pypy
from .client_test import _mocked_session
if not using_pypy:
import pandas as pd
from pandas.testing import assert_frame_equal
from influxdb.influxdb08 import DataFrameClient
@skip_if_pypy
class TestDataFrameClient(unittest.TestCase):
"""Define the DataFramClient test object."""
def setUp(self):
"""Set up an instance of TestDataFrameClient object."""
# By default, raise exceptions on warnings
warnings.simplefilter('error', FutureWarning)
def test_write_points_from_dataframe(self):
"""Test write points from dataframe."""
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"])
points = [
{
"points": [
["1", 1, 1.0, 0],
["2", 2, 2.0, 3600]
],
"name": "foo",
"columns": ["column_one", "column_two", "column_three", "time"]
}
]
with requests_mock.Mocker() as m:
m.register_uri(requests_mock.POST,
"http://localhost:8086/db/db/series")
cli = DataFrameClient(database='db')
cli.write_points({"foo": dataframe})
self.assertListEqual(json.loads(m.last_request.body), points)
def test_write_points_from_dataframe_with_float_nan(self):
"""Test write points from dataframe with NaN float."""
now = pd.Timestamp('1970-01-01 00:00+00:00')
dataframe = pd.DataFrame(data=[[1, float("NaN"), 1.0], [2, 2, 2.0]],
index=[now, now + timedelta(hours=1)],
columns=["column_one", "column_two",
"column_three"])
points = [
{
"points": [
[1, None, 1.0, 0],
[2, 2, 2.0, 3600]
],
"name": "foo",
"columns": ["column_one", "column_two", "column_three", "time"]
}
]
with requests_mock.Mocker() as m:
m.register_uri(requests_mock.POST,
"http://localhost:8086/db/db/series")
cli = DataFrameClient(database='db')
cli.write_points({"foo": dataframe})
self.assertListEqual(json.loads(m.last_request.body), points)
def test_write_points_from_dataframe_in_batches(self):
"""Test write points from dataframe in batches."""
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/db/db/series")
cli = DataFrameClient(database='db')
self.assertTrue(cli.write_points({"foo": dataframe}, batch_size=1))
def test_write_points_from_dataframe_with_numeric_column_names(self):
"""Test write points from dataframe with numeric columns."""
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)])
points = [
{
"points": [
["1", 1, 1.0, 0],
["2", 2, 2.0, 3600]
],
"name": "foo",
"columns": ['0', '1', '2', "time"]
}
]
with requests_mock.Mocker() as m:
m.register_uri(requests_mock.POST,
"http://localhost:8086/db/db/series")
cli = DataFrameClient(database='db')
cli.write_points({"foo": dataframe})
self.assertListEqual(json.loads(m.last_request.body), points)
def test_write_points_from_dataframe_with_period_index(self):
"""Test write points from dataframe with period index."""
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"])
points = [
{
"points": [
["1", 1, 1.0, 0],
["2", 2, 2.0, 86400]
],
"name": "foo",
"columns": ["column_one", "column_two", "column_three", "time"]
}
]
with requests_mock.Mocker() as m:
m.register_uri(requests_mock.POST,
"http://localhost:8086/db/db/series")
cli = DataFrameClient(database='db')
cli.write_points({"foo": dataframe})
self.assertListEqual(json.loads(m.last_request.body), points)
def test_write_points_from_dataframe_with_time_precision(self):
"""Test write points from dataframe with time precision."""
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"])
points = [
{
"points": [
["1", 1, 1.0, 0],
["2", 2, 2.0, 3600]
],
"name": "foo",
"columns": ["column_one", "column_two", "column_three", "time"]
}
]
points_ms = copy.deepcopy(points)
points_ms[0]["points"][1][-1] = 3600 * 1000
points_us = copy.deepcopy(points)
points_us[0]["points"][1][-1] = 3600 * 1000000
with requests_mock.Mocker() as m:
m.register_uri(requests_mock.POST,
"http://localhost:8086/db/db/series")
cli = DataFrameClient(database='db')
cli.write_points({"foo": dataframe}, time_precision='s')
self.assertListEqual(json.loads(m.last_request.body), points)
cli.write_points({"foo": dataframe}, time_precision='m')
self.assertListEqual(json.loads(m.last_request.body), points_ms)
cli.write_points({"foo": dataframe}, time_precision='u')
self.assertListEqual(json.loads(m.last_request.body), points_us)
@raises(TypeError)
def test_write_points_from_dataframe_fails_without_time_index(self):
"""Test write points from dataframe that fails without time index."""
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")
cli = DataFrameClient(database='db')
cli.write_points({"foo": dataframe})
@raises(TypeError)
def test_write_points_from_dataframe_fails_with_series(self):
"""Test failed write points from dataframe with series."""
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")
cli = DataFrameClient(database='db')
cli.write_points({"foo": dataframe})
def test_query_into_dataframe(self):
"""Test query into a dataframe."""
data = [
{
"name": "foo",
"columns": ["time", "sequence_number", "column_one"],
"points": [
[3600, 16, 2], [3600, 15, 1],
[0, 14, 2], [0, 13, 1]
]
}
]
# dataframe sorted ascending by time first, then sequence_number
dataframe = pd.DataFrame(data=[[13, 1], [14, 2], [15, 1], [16, 2]],
index=pd.to_datetime([0, 0,
3600, 3600],
unit='s', utc=True),
columns=['sequence_number', 'column_one'])
with _mocked_session('get', 200, data):
cli = DataFrameClient('host', 8086, 'username', 'password', 'db')
result = cli.query('select column_one from foo;')
assert_frame_equal(dataframe, result)
def test_query_multiple_time_series(self):
"""Test query for multiple time series."""
data = [
{
"name": "series1",
"columns": ["time", "mean", "min", "max", "stddev"],
"points": [[0, 323048, 323048, 323048, 0]]
},
{
"name": "series2",
"columns": ["time", "mean", "min", "max", "stddev"],
"points": [[0, -2.8233, -2.8503, -2.7832, 0.0173]]
},
{
"name": "series3",
"columns": ["time", "mean", "min", "max", "stddev"],
"points": [[0, -0.01220, -0.01220, -0.01220, 0]]
}
]
dataframes = {
'series1': pd.DataFrame(data=[[323048, 323048, 323048, 0]],
index=pd.to_datetime([0], unit='s',
utc=True),
columns=['mean', 'min', 'max', 'stddev']),
'series2': pd.DataFrame(data=[[-2.8233, -2.8503, -2.7832, 0.0173]],
index=pd.to_datetime([0], unit='s',
utc=True),
columns=['mean', 'min', 'max', 'stddev']),
'series3': pd.DataFrame(data=[[-0.01220, -0.01220, -0.01220, 0]],
index=pd.to_datetime([0], unit='s',
utc=True),
columns=['mean', 'min', 'max', 'stddev'])
}
with _mocked_session('get', 200, data):
cli = DataFrameClient('host', 8086, 'username', 'password', 'db')
result = cli.query("""select mean(value), min(value), max(value),
stddev(value) from series1, series2, series3""")
self.assertEqual(dataframes.keys(), result.keys())
for key in dataframes.keys():
assert_frame_equal(dataframes[key], result[key])
def test_query_with_empty_result(self):
"""Test query with empty results."""
with _mocked_session('get', 200, []):
cli = DataFrameClient('host', 8086, 'username', 'password', 'db')
result = cli.query('select column_one from foo;')
self.assertEqual(result, [])
def test_list_series(self):
"""Test list of series for dataframe object."""
response = [
{
'columns': ['time', 'name'],
'name': 'list_series_result',
'points': [[0, 'seriesA'], [0, 'seriesB']]
}
]
with _mocked_session('get', 200, response):
cli = DataFrameClient('host', 8086, 'username', 'password', 'db')
series_list = cli.get_list_series()
self.assertEqual(series_list, ['seriesA', 'seriesB'])
def test_datetime_to_epoch(self):
"""Test convert datetime to epoch."""
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='s'),
1356998400.0
)
self.assertEqual(
cli._datetime_to_epoch(timestamp, time_precision='m'),
1356998400000.0
)
self.assertEqual(
cli._datetime_to_epoch(timestamp, time_precision='ms'),
1356998400000.0
)
self.assertEqual(
cli._datetime_to_epoch(timestamp, time_precision='u'),
1356998400000000.0
)
|
