Commit b617c3af authored by Ivan Tyagov's avatar Ivan Tyagov

Coding style changes for the unit tests

See merge request nexedi/wendelin!158
parents 85b18536 60ef2df2
...@@ -560,7 +560,7 @@ prepareData()\n ...@@ -560,7 +560,7 @@ prepareData()\n
</item> </item>
<item> <item>
<key> <string>serial</string> </key> <key> <string>serial</string> </key>
<value> <string>1012.46657.35863.5717</string> </value> <value> <string>1013.42930.28344.22254</string> </value>
</item> </item>
<item> <item>
<key> <string>state</string> </key> <key> <string>state</string> </key>
...@@ -580,7 +580,7 @@ prepareData()\n ...@@ -580,7 +580,7 @@ prepareData()\n
</tuple> </tuple>
<state> <state>
<tuple> <tuple>
<float>1700840040.49</float> <float>1704461947.15</float>
<string>UTC</string> <string>UTC</string>
</tuple> </tuple>
</state> </state>
......
...@@ -28,7 +28,6 @@ import msgpack ...@@ -28,7 +28,6 @@ import msgpack
import random import random
import string import string
import pandas as pd import pandas as pd
import numpy as np
import math import math
from Products.ERP5Type.tests.ERP5TypeTestCase import ERP5TypeTestCase from Products.ERP5Type.tests.ERP5TypeTestCase import ERP5TypeTestCase
...@@ -42,17 +41,17 @@ class Test(ERP5TypeTestCase): ...@@ -42,17 +41,17 @@ class Test(ERP5TypeTestCase):
This is ran before anything, used to set the environment This is ran before anything, used to set the environment
""" """
# here, you can create the categories and objects your test will depend on # here, you can create the categories and objects your test will depend on
self.bucket_data = ["timestamp (ms);latitude (°);longitude (°);AMSL (m);rel altitude (m);yaw (°);ground speed (m/s);climb rate (m/s)\n 16.666666666666668;45.6403;14.264800000000008;660.46;65.668;0;16.666666666666668;0\n 33.333333333333336;45.64030377777778;14.264800000000008;660.46;65.668;3.5083546492674384e-15;16.666666666666668;0\n 50;45.64030720137322;14.264799927891772;660.5773939615947;65.78539396159465;-0.669850845047716;15.10512978394417;7.043637695678324\n 66.66666666666667;45.640310624266725;14.264799783685163;660.6947879231893;65.9027879231893;-1.3397016900954353;15.10512978394417;7.043637695678324\n 83.33333333333334;45.64031404599047;14.264799567399876;660.812181884784;66.02018188478394;-2.0095525351431416;15.105129783944166;7.043637695678324\n 100.00000000000001;45.640317466076766;14.264799279065471;660.9295758463786;66.13757584637858;-2.6794033801908608;15.105129783944168;7.043637695678324\n 116.66666666666669;45.640320884058156;14.264798918721397;661.0469698079733;66.25496980797323;-3.3492542252385813;15.105129783944165;7.043637695678322\n 133.33333333333334;45.64032429946747;14.264798486416822;661.1643637695679;66.37236376956787;-4.019105070286313;15.105129783944168;7.043637695678324\n 150;45.640327711837884;14.26479798221095;661.2817577311625;66.48975773116251;-4.688955915334046;15.105129783944168;7.043637695678324", self.bucket_data = ["timestamp (ms);latitude ();longitude ();AMSL (m);rel altitude (m);yaw ();ground speed (m/s);climb rate (m/s)\n 16.666666666666668;45.6403;14.264800000000008;660.46;65.668;0;16.666666666666668;0\n 33.333333333333336;45.64030377777778;14.264800000000008;660.46;65.668;3.5083546492674384e-15;16.666666666666668;0\n 50;45.64030720137322;14.264799927891772;660.5773939615947;65.78539396159465;-0.669850845047716;15.10512978394417;7.043637695678324\n 66.66666666666667;45.640310624266725;14.264799783685163;660.6947879231893;65.9027879231893;-1.3397016900954353;15.10512978394417;7.043637695678324\n 83.33333333333334;45.64031404599047;14.264799567399876;660.812181884784;66.02018188478394;-2.0095525351431416;15.105129783944166;7.043637695678324\n 100.00000000000001;45.640317466076766;14.264799279065471;660.9295758463786;66.13757584637858;-2.6794033801908608;15.105129783944168;7.043637695678324\n 116.66666666666669;45.640320884058156;14.264798918721397;661.0469698079733;66.25496980797323;-3.3492542252385813;15.105129783944165;7.043637695678322\n 133.33333333333334;45.64032429946747;14.264798486416822;661.1643637695679;66.37236376956787;-4.019105070286313;15.105129783944168;7.043637695678324\n 150;45.640327711837884;14.26479798221095;661.2817577311625;66.48975773116251;-4.688955915334046;15.105129783944168;7.043637695678324",
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},{"message":"timestamp (ms);latitude (°);longitude (°);AMSL (m);rel altitude (m);yaw (°);ground speed (m/s);climb rate (m/s)\n 16.666666666666668;45.6403;14.264800000000008;660.46;65.668;0;16.666666666666668;0\n 33.333333333333336;45.64030377777778;14.264800000000008;660.46;65.668;3.5083546492674384e-15;16.666666666666668;0\n 50;45.64030720137322;14.264799927891772;660.5773939615947;65.78539396159465;-0.669850845047716;15.10512978394417;7.043637695678324\n 66.66666666666667;45.640310624266725;14.264799783685163;660.6947879231893;65.9027879231893;-1.3397016900954353;15.10512978394417;7.043637695678324\n 83.33333333333334;45.64031404599047;14.264799567399876;660.812181884784;66.02018188478394;-2.0095525351431416;15.105129783944166;7.043637695678324\n 100.00000000000001;45.640317466076766;14.264799279065471;660.9295758463786;66.13757584637858;-2.6794033801908608;15.105129783944168;7.043637695678324\n 116.66666666666669;45.640320884058156;14.264798918721397;661.0469698079733;66.25496980797323;-3.3492542252385813;15.105129783944165;7.043637695678322\n 133.33333333333334;45.64032429946747;14.264798486416822;661.1643637695679;66.37236376956787;-4.019105070286313;15.105129783944168;7.043637695678324\n 150;45.640327711837884;14.26479798221095;661.2817577311625;66.48975773116251;-4.688955915334046;15.105129783944168;7.043637695678324", "Not a real key":"" },{"message":"timestamp (ms);latitude ();longitude ();AMSL (m);rel altitude (m);yaw ();ground speed (m/s);climb rate (m/s)\n 16.666666666666668;45.6403;14.264800000000008;660.46;65.668;0;16.666666666666668;0\n 33.333333333333336;45.64030377777778;14.264800000000008;660.46;65.668;3.5083546492674384e-15;16.666666666666668;0\n 50;45.64030720137322;14.264799927891772;660.5773939615947;65.78539396159465;-0.669850845047716;15.10512978394417;7.043637695678324\n 66.66666666666667;45.640310624266725;14.264799783685163;660.6947879231893;65.9027879231893;-1.3397016900954353;15.10512978394417;7.043637695678324\n 83.33333333333334;45.64031404599047;14.264799567399876;660.812181884784;66.02018188478394;-2.0095525351431416;15.105129783944166;7.043637695678324\n 100.00000000000001;45.640317466076766;14.264799279065471;660.9295758463786;66.13757584637858;-2.6794033801908608;15.105129783944168;7.043637695678324\n 116.66666666666669;45.640320884058156;14.264798918721397;661.0469698079733;66.25496980797323;-3.3492542252385813;15.105129783944165;7.043637695678322\n 133.33333333333334;45.64032429946747;14.264798486416822;661.1643637695679;66.37236376956787;-4.019105070286313;15.105129783944168;7.043637695678324\n 150;45.640327711837884;14.26479798221095;661.2817577311625;66.48975773116251;-4.688955915334046;15.105129783944168;7.043637695678324", "Not a real key":""
}, },
{"message":"timestamp (ms);latitude (°);longitude (°);AMSL (m);rel altitude (m);yaw (°);ground speed (m/s);climb rate (m/s)\n 16.666666666666668;45.6403;14.264800000000008;660.46;65.668;0;16.666666666666668;0\n 33.333333333333336;45.64030377777778;14.264800000000008;660.46;65.668;3.5083546492674384e-15;16.666666666666668;0\n 50;45.64030720137322;14.264799927891772;660.5773939615947;65.78539396159465;-0.669850845047716;15.10512978394417;7.043637695678324\n 66.66666666666667;45.640310624266725;14.264799783685163;660.6947879231893;65.9027879231893;-1.3397016900954353;15.10512978394417;7.043637695678324\n 83.33333333333334;45.64031404599047;14.264799567399876;660.812181884784;66.02018188478394;-2.0095525351431416;15.105129783944166;7.043637695678324\n 100.00000000000001;45.640317466076766;14.264799279065471;660.9295758463786;66.13757584637858;-2.6794033801908608;15.105129783944168;7.043637695678324\n 116.66666666666669;45.640320884058156;14.264798918721397;661.0469698079733;66.25496980797323;-3.3492542252385813;15.105129783944165;7.043637695678322\n 133.33333333333334;45.64032429946747;14.264798486416822;661.1643637695679;66.37236376956787;-4.019105070286313;15.105129783944168;7.043637695678324\n 150;45.640327711837884;14.26479798221095;661.2817577311625;66.48975773116251;-4.688955915334046;15.105129783944168;7.043637695678324", "filepath":"simulation_log_D0_(14.0, 10.0).log"}] {"message":"timestamp (ms);latitude ();longitude ();AMSL (m);rel altitude (m);yaw ();ground speed (m/s);climb rate (m/s)\n 16.666666666666668;45.6403;14.264800000000008;660.46;65.668;0;16.666666666666668;0\n 33.333333333333336;45.64030377777778;14.264800000000008;660.46;65.668;3.5083546492674384e-15;16.666666666666668;0\n 50;45.64030720137322;14.264799927891772;660.5773939615947;65.78539396159465;-0.669850845047716;15.10512978394417;7.043637695678324\n 66.66666666666667;45.640310624266725;14.264799783685163;660.6947879231893;65.9027879231893;-1.3397016900954353;15.10512978394417;7.043637695678324\n 83.33333333333334;45.64031404599047;14.264799567399876;660.812181884784;66.02018188478394;-2.0095525351431416;15.105129783944166;7.043637695678324\n 100.00000000000001;45.640317466076766;14.264799279065471;660.9295758463786;66.13757584637858;-2.6794033801908608;15.105129783944168;7.043637695678324\n 116.66666666666669;45.640320884058156;14.264798918721397;661.0469698079733;66.25496980797323;-3.3492542252385813;15.105129783944165;7.043637695678322\n 133.33333333333334;45.64032429946747;14.264798486416822;661.1643637695679;66.37236376956787;-4.019105070286313;15.105129783944168;7.043637695678324\n 150;45.640327711837884;14.26479798221095;661.2817577311625;66.48975773116251;-4.688955915334046;15.105129783944168;7.043637695678324", "filepath":"simulation_log_D0_(14.0, 10.0).log"}]
portal = self.getPortalObject() self.portal = self.getPortalObject()
self.column_names = ["timestamp (ms)","latitude (°)","longitude (°)","AMSL (m)","rel altitude (m)","yaw (°)","ground speed (m/s)","climb rate (m/s)"] self.column_names = ["timestamp (ms)","latitude ()","longitude ()","AMSL (m)","rel altitude (m)","yaw ()","ground speed (m/s)","climb rate (m/s)"]
self.wrong_column_names = ["timestamp (ms)","latit(°)",","AL (m)","rel alie (m)","ya ()","ground speed ()"] self.wrong_column_names = ["timestamp (ms)","latit()","","AL (m)","rel alie (m)","ya ()","ground speed ()"]
def create_random_name(self): def create_random_name(self):
return "simulation_log_D0_"+str((random.uniform(5,20), random.uniform(5,20)))+".log" return "simulation_log_D0_"+str((random.uniform(5,20), random.uniform(5,20)))+".log"
...@@ -81,7 +80,6 @@ class Test(ERP5TypeTestCase): ...@@ -81,7 +80,6 @@ class Test(ERP5TypeTestCase):
def create_random_wrong_dataframe(self, column_names): def create_random_wrong_dataframe(self, column_names):
l = [] l = []
nr_lines = random.randint(10,100) # We have files with somewhere like 18k lines. But we could also reduce them here, just to save space nr_lines = random.randint(10,100) # We have files with somewhere like 18k lines. But we could also reduce them here, just to save space
timestamp = sorted([random.uniform(1,100) for _ in range(nr_lines)]) #We only go up to 100, because otherwise it is possible that the smallest timestamp in the mock simulation is larger than the largest timestamp in the mock real data.
x = [[self.randomword(5) if name !="timestamp (ms)" else self.randomword(5) for name in column_names] for _ in range(nr_lines)] x = [[self.randomword(5) if name !="timestamp (ms)" else self.randomword(5) for name in column_names] for _ in range(nr_lines)]
x.insert(0, column_names) x.insert(0, column_names)
for line in x: for line in x:
...@@ -107,7 +105,6 @@ class Test(ERP5TypeTestCase): ...@@ -107,7 +105,6 @@ class Test(ERP5TypeTestCase):
""" """
Ingest some data Ingest some data
""" """
document_to_delete_list = []
data_ingestion = self.portal.portal_catalog.getResultValue( data_ingestion = self.portal.portal_catalog.getResultValue(
portal_type = "Data Array") portal_type = "Data Array")
...@@ -254,7 +251,7 @@ class Test(ERP5TypeTestCase): ...@@ -254,7 +251,7 @@ class Test(ERP5TypeTestCase):
if bin_chunk["filepath"] != "Wrong Filepath Name but correct data": if bin_chunk["filepath"] != "Wrong Filepath Name but correct data":
try: try:
_ = destination_data_stream_bucket.getBucketByKey(bin_chunk["filepath"]) _ = destination_data_stream_bucket.getBucketByKey(bin_chunk["filepath"])
except: except KeyError:
continue continue
self.assertNotEquals(destination_data_stream_bucket.getBucketByKey(bin_chunk["filepath"]), None) self.assertNotEquals(destination_data_stream_bucket.getBucketByKey(bin_chunk["filepath"]), None)
self.assertIn(bin_chunk["message"], destination_data_stream_bucket.getBucketByKey(bin_chunk["filepath"])) self.assertIn(bin_chunk["message"], destination_data_stream_bucket.getBucketByKey(bin_chunk["filepath"]))
...@@ -362,17 +359,11 @@ class Test(ERP5TypeTestCase): ...@@ -362,17 +359,11 @@ class Test(ERP5TypeTestCase):
specialise_uid = data_transformation_sim_flight.getUid(), specialise_uid = data_transformation_sim_flight.getUid(),
simulation_state = 'started') simulation_state = 'started')
zarray_sim_flight = None
for data_analysis_line in data_analysis_sim_flight.objectValues(): for data_analysis_line in data_analysis_sim_flight.objectValues():
reference = data_analysis_line.getReference() reference = data_analysis_line.getReference()
if reference == 'out_array':
data_array_sim_flight = data_analysis_line.getAggregateValueList(portal_type = 'Data Array')[0]
zarray_sim_flight = data_array_sim_flight
data_array_line_names_sim_flight_list = list(zarray_sim_flight)
test_sim_data = zarray_sim_flight.get("simulation_log_D0_(14.0, 10.0).log").getArray()
test_sim_dataframe = pd.DataFrame(data=test_sim_data, columns=["timestamp (ms)","latitude ()","longitude ()","AMSL (m)","rel altitude (m)","yaw ()","ground speed (m/s)","climb rate (m/s)"])
# Sim flights after score # Sim flights after score
...@@ -393,7 +384,6 @@ class Test(ERP5TypeTestCase): ...@@ -393,7 +384,6 @@ class Test(ERP5TypeTestCase):
if reference == 'out_array_scores': if reference == 'out_array_scores':
data_array_sim_flight_score = data_analysis_line.getAggregateValueList(portal_type = 'Data Array')[0] data_array_sim_flight_score = data_analysis_line.getAggregateValueList(portal_type = 'Data Array')[0]
zarray_sim_flight_score = data_array_sim_flight_score zarray_sim_flight_score = data_array_sim_flight_score
data_array_line_names_sim_flight_score_list = list(zarray_sim_flight_score)
test_sim_score_data = zarray_sim_flight_score.getArray() test_sim_score_data = zarray_sim_flight_score.getArray()
...@@ -440,7 +430,6 @@ class Test(ERP5TypeTestCase): ...@@ -440,7 +430,6 @@ class Test(ERP5TypeTestCase):
if reference == 'out_array_scores': if reference == 'out_array_scores':
data_array = data_analysis_line.getAggregateValueList(portal_type = 'Data Array')[0] data_array = data_analysis_line.getAggregateValueList(portal_type = 'Data Array')[0]
zarray = data_array zarray = data_array
data_array_line_names_sim_flight_score_list = list(zarray)
self.assertNotEqual(zarray.getArray(), None) self.assertNotEqual(zarray.getArray(), None)
recalculated_scores = pd.DataFrame.from_records(zarray.getArray()[:].copy()) recalculated_scores = pd.DataFrame.from_records(zarray.getArray()[:].copy())
......
...@@ -35,25 +35,7 @@ ...@@ -35,25 +35,7 @@
<item> <item>
<key> <string>text_content_warning_message</string> </key> <key> <string>text_content_warning_message</string> </key>
<value> <value>
<tuple> <tuple/>
<string>W: 45, 0: Cannot decode using encoding "ascii", unexpected byte at position 50 (invalid-encoded-data)</string>
<string>W: 46, 0: Cannot decode using encoding "ascii", unexpected byte at position 61 (invalid-encoded-data)</string>
<string>W: 47, 0: Cannot decode using encoding "ascii", unexpected byte at position 55 (invalid-encoded-data)</string>
<string>W: 48, 0: Cannot decode using encoding "ascii", unexpected byte at position 55 (invalid-encoded-data)</string>
<string>W: 49, 0: Cannot decode using encoding "ascii", unexpected byte at position 55 (invalid-encoded-data)</string>
<string>W: 51, 0: Cannot decode using encoding "ascii", unexpected byte at position 55 (invalid-encoded-data)</string>
<string>W: 54, 0: Cannot decode using encoding "ascii", unexpected byte at position 53 (invalid-encoded-data)</string>
<string>W: 55, 0: Cannot decode using encoding "ascii", unexpected byte at position 55 (invalid-encoded-data)</string>
<string>W: 52, 4: Unused variable \'portal\' (unused-variable)</string>
<string>W: 84, 4: Unused variable \'timestamp\' (unused-variable)</string>
<string>W:110, 4: Unused variable \'document_to_delete_list\' (unused-variable)</string>
<string>W:257, 8: No exception type(s) specified (bare-except)</string>
<string>W:375, 4: Unused variable \'test_sim_dataframe\' (unused-variable)</string>
<string>W:372, 8: Unused variable \'data_array_line_names_sim_flight_list\' (unused-variable)</string>
<string>W:396, 8: Unused variable \'data_array_line_names_sim_flight_score_list\' (unused-variable)</string>
<string>W:443, 8: Unused variable \'data_array_line_names_sim_flight_score_list\' (unused-variable)</string>
<string>W: 31, 0: Unused numpy imported as np (unused-import)</string>
</tuple>
</value> </value>
</item> </item>
<item> <item>
......
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