-
Notifications
You must be signed in to change notification settings - Fork 37
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
1 changed file
with
92 additions
and
74 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,94 +1,112 @@ | ||
import strax | ||
import pandas as pd | ||
import mongomock | ||
import numpy as np | ||
from datetime import datetime | ||
from pandas._testing import assert_frame_equal | ||
import pytz | ||
import pymongo | ||
import pytest | ||
import unittest | ||
from .test_mongo_frontend import _can_test | ||
import os | ||
|
||
@mongomock.patch() | ||
def corrections(): | ||
dummy_client = pymongo.MongoClient() | ||
cmt = strax.CorrectionsInterface(client=dummy_client) | ||
return cmt | ||
|
||
def make_dummy_df(): | ||
@unittest.skipIf(not _can_test, 'No test-database is configured') | ||
class TestCMT(unittest.TestCase): | ||
""" | ||
Make a dummy pandas.dataframe() | ||
Test the saving behavior of the context with the strax.MongoFrontend | ||
Requires write access to some pymongo server, the URI of witch is to be set | ||
as an environment variable under: | ||
TEST_MONGO_URI | ||
At the moment this is just an empty database but you can also use some free | ||
ATLAS mongo server. | ||
""" | ||
dates = [datetime(2017, 1, 1), datetime(2021, 1, 1), datetime(2021, 9, 23)] | ||
df = pd.DataFrame({'ONLINE' : [10.,10., 8.], | ||
'v1' : [12., 12., 14.], | ||
'v2' : [13., 14., np.nan], | ||
'time': dates}) | ||
|
||
df['time'] = pd.to_datetime(df['time'], utc=True) | ||
df = df.set_index('time') | ||
def setUp(self): | ||
uri = os.environ.get('TEST_MONGO_URI') | ||
db_name = 'test_mongosf_database_cmt' | ||
database_name = 'corrections' | ||
client = pymongo.MongoClient(uri) | ||
self.collection = client[db_name][database_name] | ||
self.cmt = strax.CorrectionsInterface(client=client, database_name=db_name) | ||
|
||
@staticmethod | ||
def make_dummy_df(): | ||
""" | ||
Make a dummy pandas.dataframe() | ||
""" | ||
dates = [datetime(2017, 1, 1), datetime(2021, 1, 1), datetime(2021, 9, 23)] | ||
df = pd.DataFrame({'ONLINE': [10., 10., 8.], | ||
'v1': [12., 12., 14.], | ||
'v2': [13., 14., np.nan], | ||
'time': dates}) | ||
|
||
df['time'] = pd.to_datetime(df['time'], utc=True) | ||
df = df.set_index('time') | ||
|
||
return df | ||
return df | ||
|
||
def test_db(): | ||
cmt = corrections() | ||
df = make_dummy_df() | ||
# write to the DB | ||
cmt.write('test_db', df) | ||
# read from the DB | ||
df2 = cmt.read('test_db') | ||
# pandas.DataFrame should be identical | ||
assert_frame_equal(df, df2) | ||
def test_db(self): | ||
cmt = self.cmt | ||
df = self.make_dummy_df() | ||
# write to the DB | ||
cmt.write('test_db', df) | ||
# read from the DB | ||
df2 = cmt.read('test_db') | ||
# pandas.DataFrame should be identical | ||
assert_frame_equal(df, df2) | ||
|
||
def test_change_future(): | ||
# add a new value in the future | ||
cmt = corrections() | ||
df = make_dummy_df() | ||
cmt.write('test_change_future', df) | ||
df2 = cmt.read('test_change_future') | ||
df2.loc[pd.to_datetime(datetime(2029, 12, 1, 0, 0, 0, 0, tzinfo=pytz.utc))] = [15.0, 13.0, np.nan] | ||
df2 = df2.sort_index() | ||
cmt.write('test_change_future', df2) | ||
def test_change_future(self): | ||
# add a new value in the future | ||
cmt = self.cmt | ||
df = self.make_dummy_df() | ||
cmt.write('test_change_future', df) | ||
df2 = cmt.read('test_change_future') | ||
df2.loc[pd.to_datetime(datetime(2029, 12, 1, 0, 0, 0, 0, tzinfo=pytz.utc))] = [15.0, 13.0, np.nan] | ||
df2 = df2.sort_index() | ||
cmt.write('test_change_future', df2) | ||
|
||
def test_modify_nan(): | ||
# modify non-physical values (NaN) | ||
cmt = corrections() | ||
df = make_dummy_df() | ||
cmt.write('test_modify_nan', df) | ||
df2 = cmt.read('test_modify_nan') | ||
df2.loc[pd.to_datetime(datetime(2021, 9, 23, 0, 0, 0, 0, tzinfo=pytz.utc))] = [8.0, 14.0, 14.3] | ||
df2 = df2.sort_index() | ||
cmt.write('test_modify_nan', df2) | ||
def test_modify_nan(self): | ||
# modify non-physical values (NaN) | ||
cmt = self.cmt | ||
df = self.make_dummy_df() | ||
cmt.write('test_modify_nan', df) | ||
df2 = cmt.read('test_modify_nan') | ||
df2.loc[pd.to_datetime(datetime(2021, 9, 23, 0, 0, 0, 0, tzinfo=pytz.utc))] = [8.0, 14.0, 14.3] | ||
df2 = df2.sort_index() | ||
cmt.write('test_modify_nan', df2) | ||
|
||
def test_change_past(): | ||
# modify things in the past | ||
# fail unless raises a ValueError | ||
cmt = corrections() | ||
df = make_dummy_df() | ||
cmt.write('test_change_past', df) | ||
df2 = cmt.read('test_change_past') | ||
df2.loc[pd.to_datetime(datetime(2021, 1, 1, 0, 0, 0, 0, tzinfo=pytz.utc))] = [7.0, 24.0, 14.3] | ||
df2 = df2.sort_index() | ||
with unittest.TestCase().assertRaises(ValueError): | ||
cmt.write('test_change_past', df2) | ||
def test_change_past(self): | ||
# modify things in the past | ||
# fail unless raises a ValueError | ||
cmt = self.cmt | ||
df = self.make_dummy_df() | ||
cmt.write('test_change_past', df) | ||
df2 = cmt.read('test_change_past') | ||
df2.loc[pd.to_datetime(datetime(2021, 1, 1, 0, 0, 0, 0, tzinfo=pytz.utc))] = [7.0, 24.0, 14.3] | ||
df2 = df2.sort_index() | ||
with unittest.TestCase().assertRaises(ValueError): | ||
cmt.write('test_change_past', df2) | ||
|
||
def test_add_row(): | ||
# add a new row for a new past date, allowed example | ||
cmt = corrections() | ||
df = make_dummy_df() | ||
cmt.write('test_add_row', df) | ||
df2 = cmt.read('test_add_row') | ||
df2.loc[pd.to_datetime(datetime(2021, 2, 1, 0, 0, 0, 0, tzinfo=pytz.utc))] = [10.0, np.nan, 14.3] | ||
df2 = df2.sort_index() | ||
cmt.write('test_add_row', df2) | ||
def test_add_row(self): | ||
# add a new row for a new past date, allowed example | ||
cmt = self.cmt | ||
df = self.make_dummy_df() | ||
cmt.write('test_add_row', df) | ||
df2 = cmt.read('test_add_row') | ||
df2.loc[pd.to_datetime(datetime(2021, 2, 1, 0, 0, 0, 0, tzinfo=pytz.utc))] = [10.0, np.nan, 14.3] | ||
df2 = df2.sort_index() | ||
cmt.write('test_add_row', df2) | ||
|
||
def test_add_row_2(): | ||
# add a new row for a new past date, not allowed example | ||
cmt = corrections() | ||
df = make_dummy_df() | ||
cmt.write('test_add_row_2', df) | ||
df2 = cmt.read('test_add_row_2') | ||
df2.loc[pd.to_datetime(datetime(2021, 2, 1, 0, 0, 0, 0, tzinfo=pytz.utc))] = [7.0, 24.0, 14.3] | ||
df2 = df2.sort_index() | ||
with unittest.TestCase().assertRaises(ValueError): | ||
cmt.write('test_add_row_2', df2) | ||
def test_add_row_2(self): | ||
# add a new row for a new past date, not allowed example | ||
cmt = self.cmt | ||
df = self.make_dummy_df() | ||
cmt.write('test_add_row_2', df) | ||
df2 = cmt.read('test_add_row_2') | ||
df2.loc[pd.to_datetime(datetime(2021, 2, 1, 0, 0, 0, 0, tzinfo=pytz.utc))] = [7.0, 24.0, 14.3] | ||
df2 = df2.sort_index() | ||
with unittest.TestCase().assertRaises(ValueError): | ||
cmt.write('test_add_row_2', df2) |