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copy_db_old.py
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from oms.utils import retrieve_run
from certifier.models import RunReconstruction, TrackerCertification, Dataset
from users.models import User
from django.contrib.auth import get_user_model
from django.utils import formats
from shiftleader.utilities.utilities import to_date
import datetime
from dateutil.parser import parse
import maya
import dateutil.parser
import io
import pandas as pd
import psycopg2
def get_referenceruns():
try:
connection = psycopg2.connect(host="127.0.0.1",
database="mytestdb")
cursor = connection.cursor()
postgreSQL_select_Query = "select reference_run, lower(reco) from certhelper_referencerun"
cursor.execute(postgreSQL_select_Query)
mobile_records = cursor.fetchall()
for row in mobile_records:
try:
run = retrieve_run(row[0])
if not RunReconstruction.objects.filter(run__run_number=row[0],reconstruction=row[1]).exists():
RunReconstruction.objects.create(run=run, reconstruction=row[1], is_reference=True)
except IndexError:
pass
except (Exception, psycopg2.Error) as error :
print ("Error while fetching data from PostgreSQL", error)
finally:
#closing database connection.
if(connection):
cursor.close()
connection.close()
print("PostgreSQL connection is closed")
def get_runs():
try:
connection = psycopg2.connect(host="127.0.0.1",
database="mytestdb")
cursor = connection.cursor()
postgreSQL_select_Query = "select r.run_number, lower(t.reco) from certhelper_runinfo r, certhelper_type t where r.type_id=t.id"
cursor.execute(postgreSQL_select_Query)
mobile_records = cursor.fetchall()
for row in mobile_records:
try:
run = retrieve_run(row[0])
if not RunReconstruction.objects.filter(run__run_number=row[0],reconstruction=row[1]).exists():
RunReconstruction.objects.create(run=run, reconstruction=row[1])
except IndexError:
pass
except (Exception, psycopg2.Error) as error :
print ("Error while fetching data from PostgreSQL", error)
finally:
#closing database connection.
if(connection):
cursor.close()
connection.close()
print("PostgreSQL connection is closed")
def get_users():
try:
connection = psycopg2.connect(host="127.0.0.1",
database="mytestdb")
cursor = connection.cursor()
postgreSQL_select_Query = "select u.*, p.extra_data from auth_user u left join certhelper_userprofile p on u.id=p.user_id"
cursor.execute(postgreSQL_select_Query)
mobile_records = cursor.fetchall()
for row in mobile_records:
if not get_user_model().objects.filter(username=row[4]).exists():
user = get_user_model().objects.create(id=int(row[0]), password=row[1] , last_login=row[2] , is_superuser=row[3] , username=row[4] , first_name=row[5] , last_name=row[6] , email=row[7] , is_staff=row[8] , is_active=row[9] , date_joined=row[10] , extra_data=row[11])
except (Exception, psycopg2.Error) as error :
print ("Error while fetching data from PostgreSQL", error)
finally:
#closing database connection.
if(connection):
cursor.close()
connection.close()
print("PostgreSQL connection is closed")
def get_trackercertification():
try:
connection = psycopg2.connect(host="127.0.0.1",
database="mytestdb")
cursor = connection.cursor()
postgreSQL_select_Query = "select r.run_number, lower(t.reco), lower(r.trackermap), lower(r.pixel), lower(r.sistrip), lower(r.tracking), r.comment, r.date, ref.reference_run, lower(ref.reco), u.username, r.deleted_at, r.created_at, r.updated_at, r.pixel_lowstat, r.sistrip_lowstat, r.tracking_lowstat, t.dataset from certhelper_runinfo r, certhelper_referencerun ref, auth_user u, certhelper_type t where r.userid_id=u.id and r.reference_run_id=ref.id and r.type_id=t.id"
cursor.execute(postgreSQL_select_Query)
print("Selecting rows from mobile table using cursor.fetchall")
mobile_records = cursor.fetchall()
print("Print each row and it's columns values")
for row in mobile_records:
try:
run = RunReconstruction.objects.get(run__run_number=row[0], reconstruction=row[1])
ref_run = RunReconstruction.objects.get(run__run_number=row[8], reconstruction=row[9])
user = get_user_model().objects.get(username=row[10])
if not Dataset.objects.filter(dataset=row[17]).exists():
dataset = Dataset.objects.create(dataset=row[17])
else:
dataset = Dataset.objects.get(dataset=row[17])
if not TrackerCertification.objects.filter(runreconstruction=run).exists():
trackercertification = TrackerCertification.objects.create(user=user, runreconstruction=run, dataset=dataset,reference_runreconstruction=ref_run, trackermap=row[2], pixel=row[3], strip=row[4], tracking=row[5], pixel_lowstat=row[14], strip_lowstat=row[15], tracking_lowstat=row[16], date=row[7], comment=row[6])
except (RunReconstruction.DoesNotExist, get_user_model().DoesNotExist) as e:
print(row[0],row[1],row[8],row[9], row[10], e)
pass
except (Exception, psycopg2.Error) as error :
print ("Error while fetching data from PostgreSQL", error)
finally:
#closing database connection.
if(connection):
cursor.close()
connection.close()
print("PostgreSQL connection is closed")
get_users()
get_referenceruns()
get_runs()
get_trackercertification()