#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from DatabaseClient import DatabaseClient
client = DatabaseClient(hostname=None)
cmd_list = [
'DROP PTABLE dha_demo;',
'CREATE PTABLE dha_demo FROM /home/sgeadmin/tabular_predDB/Examples/dha.csv;',
'IMPORT SAMPLES dha_samples.pkl.gz INTO dha_demo;',
'SELECT name, qual_score, ami_score, pymt_p_visit_ratio, ttl_mdcr_spnd, hosp_reimb_ratio, hosp_reimb_p_dcd, md_copay_p_dcd, ttl_copay_p_dcd FROM dha_demo LIMIT 10;',
'ESTIMATE DEPENDENCE PROBABILITIES FROM dha_demo SAVE TO dha_z_matrix.png;',
'ESTIMATE DEPENDENCE PROBABILITIES FROM dha_demo REFERENCING qual_score LIMIT 6;',
'ESTIMATE DEPENDENCE PROBABILITIES FROM dha_demo REFERENCING qual_score WITH CONFIDENCE 0.9;',
'ESTIMATE DEPENDENCE PROBABILITIES FROM dha_demo REFERENCING pymt_p_md_visit LIMIT 6;',
# 'SELECT name, qual_score, ami_score, pymt_p_visit_ratio, ttl_mdcr_spnd, hosp_reimb_ratio, hosp_reimb_p_dcd, md_copay_p_dcd, ttl_copay_p_dcd FROM dha_demo ORDER BY similarity_to(name=\'Albany NY\') LIMIT 10;',
'SELECT name, qual_score, ami_score, pymt_p_visit_ratio, ttl_mdcr_spnd, hosp_reimb_ratio, hosp_reimb_p_dcd, md_copay_p_dcd, ttl_copay_p_dcd FROM dha_demo ORDER BY similarity_to(name=\'Albany NY\', qual_score), ami_score LIMIT 10;',
'SELECT name, qual_score, ami_score, pymt_p_visit_ratio, ttl_mdcr_spnd, hosp_reimb_ratio, hosp_reimb_p_dcd, md_copay_p_dcd, ttl_copay_p_dcd FROM dha_demo ORDER BY similarity_to(name=\'Albany NY\', pymt_p_visit_ratio), ttl_mdcr_spnd LIMIT 10;',
'SIMULATE name, qual_score, ami_score, pymt_p_visit_ratio, ttl_mdcr_spnd, hosp_reimb_ratio, hosp_reimb_p_dcd, md_copay_p_dcd, ttl_copay_p_dcd FROM dha_demo WHERE ami_score=95.0 TIMES 10;',
'SIMULATE name, qual_score, ami_score, pymt_p_visit_ratio, ttl_mdcr_spnd, hosp_reimb_ratio, hosp_reimb_p_dcd, md_copay_p_dcd, ttl_copay_p_dcd FROM dha_demo WHERE ttl_mdcr_spnd=50000 TIMES 10;',
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from DatabaseClient import DatabaseClient
client = DatabaseClient(hostname=None)
client('drop btable dan_kiva;')
client('create btable dan_kiva from data/kiva.csv;')
client(
'import samples data/kiva_flat_table_model_500.pkl.gz into dan_kiva iterations 500;'
)
print client('select * from dan_kiva limit 5;')
fields_of_interest = [
'partner_status',
'partner_rating',
'delinquent',
'default_rate',
'loan_amount',
'gender_ratio',
]
from DatabaseClient import DatabaseClient
client = DatabaseClient(hostname=None)
#print client.execute('start from scratch;')
cmds = []
#cmds.append('drop ptable dha;')
'''
cmds.append('create ptable dha from /home/sgeadmin/tabular_predDB/Examples/dha.csv;')
cmds.append('create 10 models for dha;')
cmds.append('analyze dha for 10 iterations;')
cmds.append('analyze dha for 10 iterations;')
cmds.append('analyze dha for 30 iterations;')
cmds.append('analyze dha for 50 iterations;')
cmds.append('analyze dha for 100 iterations;')
cmds.append('analyze dha for 100 iterations;')
cmds.append('analyze dha for 100 iterations;')
cmds.append('analyze dha for 100 iterations;')
'''
'''
cmds.append('select * from dha limit 5;')
cmds.append('export from dha to dha_samples;')
cmds.append('create ptable dha_loaded from /home/sgeadmin/tabular_predDB/Examples/dha.csv;')
cmds.append('import samples dha_samples.pkl.gz into dha_loaded;')
cmds.append('select * from dha limit 5;')
'''
cmds.append('drop ptable dha_big')
#cmds.append('create ptable dha_big from /home/sgeadmin/tabular_predDB/Examples/demo_data/DHA/DAP_Hosp.dat;')
cmds.append('create ptable dha_big from /home/sgeadmin/tabular_predDB/Examples/dha.csv;')
cmds.append('import samples dha_samples.pkl.gz INTO dha_big;')
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from DatabaseClient import DatabaseClient
client = DatabaseClient(hostname=None)
client("drop btable dan_kiva;")
client("create btable dan_kiva from data/kiva.csv;")
client("import samples data/kiva_flat_table_model_500.pkl.gz into dan_kiva iterations 500;")
print client("select * from dan_kiva limit 5;")
fields_of_interest = [
"due_diligence_type",
"delinquency_rate",
"partner_status",
"partner_rating",
"delinquent",
"default_rate",
"loan_amount",
"gender_ratio",
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from DatabaseClient import DatabaseClient
client = DatabaseClient(hostname=None)
client('drop btable dan_kiva;')
client('create btable dan_kiva from data/kiva.csv;')
client('import samples data/kiva_flat_table_model_500.pkl.gz into dan_kiva iterations 500;')
print client('select * from dan_kiva limit 5;')
fields_of_interest = [
'partner_status',
'partner_rating',
'delinquent',
'default_rate',
'loan_amount',
'gender_ratio',
]
fields_str = ', '.join(fields_of_interest)
# distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # print cmd = '>>> from DatabaseClient import DatabaseClient' print cmd raw_input() from DatabaseClient import DatabaseClient # cmd = ">>> client = DatabaseClient(hostname='localhost')" print cmd raw_input() client = DatabaseClient(hostname=None) # ####### New demo ######## # select with ordering by similarity # infer: nans can't be filled in at one confidence level, but can at another # simulate ######################### # # # ORDER BY SIMILARITY # # fields_of_interest = [
#! /Users/jon/anaconda3/bin/python3
"""
This file tests the functionality of the DatabaseClient class
It performs the following actions
"""
import random
from DatabaseClient import DatabaseClient
dbClient = DatabaseClient()
print("Resetting the database")
dbClient.reset_database()
print("Adding some data")
dataDict = dict()
types = ["electric", "gas", "wind", "solar"]
datetime = "12:00 10/21/19",
usages = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
dataDict['type'] = 'electric'
for i in range(100):
print("Uploading random data #{}/100".format(i))
dataDict[i] = dict()
dataDict[i]['type'] = random.choice(types)
dataDict[i]['dt'] = datetime
dataDict[i]['usage'] = random.choice(usages)
dbClient.add_data_from_dict(dataDict[i])
print("Data has been added")
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from DatabaseClient import DatabaseClient
client = DatabaseClient(hostname=None)
client('drop btable dan_kiva;')
client('create btable dan_kiva from data/kiva.csv;')
client(
'import samples data/kiva_flat_table_model_500.pkl.gz into dan_kiva iterations 500;'
)
print client('select * from dan_kiva limit 5;')
fields_of_interest = [
'due_diligence_type',
'delinquency_rate',
'partner_status',
'partner_rating',
'delinquent',
'default_rate',
'loan_amount',
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from DatabaseClient import DatabaseClient
client = DatabaseClient(hostname=None)
cmd_list = [
'DROP PTABLE dha_demo;',
'CREATE PTABLE dha_demo FROM /home/sgeadmin/tabular_predDB/Examples/dha.csv;',
'IMPORT SAMPLES dha_samples.pkl.gz INTO dha_demo;',
'SELECT hosp_reimb_ratio, hosp_reimb_p_dcd, mdcr_spnd_inp, ttl_mdcr_spnd, md_copay_p_dcd, ttl_copay_p_dcd FROM dha_demo LIMIT 10;',
'SELECT hosp_reimb_ratio, hosp_reimb_p_dcd, mdcr_spnd_inp, ttl_mdcr_spnd, md_copay_p_dcd, ttl_copay_p_dcd FROM dha_demo ORDER BY SIMILARITY TO 0 LIMIT 10;',
'ESTIMATE DEPENDENCE PROBABILITIES FROM dha_demo REFERENCING mdcr_spnd_inp LIMIT 6 SAVE TO dha_fz;',
'ESTIMATE DEPENDENCE PROBABILITIES FROM dha_demo REFERENCING mdcr_spnd_inp SAVE TO dha_full_fz;',
'ESTIMATE DEPENDENCE PROBABILITIES FROM dha_demo REFERENCING mdcr_spnd_inp WITH CONFIDENCE 0.9 SAVE TO dha_fz;',
]
import sys
for cmd in cmd_list:
sys.stdout.write('>>> %s' % cmd)