Does anyone know how I get Django Filter build an OR statement? I'm not sure if I have to use the Q object or not, I thought I need some type of OR pipe but this doesn't seem right:
filter_mfr_method = request.GET.getlist('filter_mfr_method')
for m in filter_mfr_method:
designs = designs.filter(Q(mfr_method = m) | m if m else '')
# Or should I do it this way?
#designs = designs.filter(mfr_method = m | m if m else '')
I would like this to be:
SELECT * FROM table WHERE mfr_method = 1 OR mfr_method = 2 OR mfr_method = 3
EDIT: Here is what Worked
filter_mfr_method = request.GET.getlist('filter_mfr_method')
list = []
for m in filter_mfr_method:
list.append(Q(mfr_method = m))
designs = designs.filter(reduce(operator.or_, list))
What about:
import operator
filter_mfr_method = request.GET.getlist('filter_mfr_method')
filter_params = reduce(operator.or_, filter_mfr_method, Q())
designs = designs.filter(filter_params)
Something I used before:
qry = None
for val in request.GET.getlist('filter_mfr_method'):
v = {'mfr_method': val}
q = Q(**v)
if qry:
qry = qry | q
else:
qry = q
designs = designs.filter(qry)
That is taken from one of my query builders.
Related
text = "hellovision hey creator yoyo b creator great publisher"
I want to extract creator's name and publisher's name from text.
The result will be,
creator = hellovision hey, yoyo
publisher = great
How can I get text using regular expression?
Do I need to use span()..?
This is my code.
def preprocess2(text):
text_list = test.split(' ')
lyricist = []
composer = []
music_arranger = []
temp = []
lyricist.clear()
composer.clear()
music_arranger.clear()
for i in range(0, len(text_list)):
if text_list[i] == 'creator':
print(len(text_list))
for a in range(0, i-1):
temp.append(text_list[a])
lyricist.append(''.join(temp))
temp.clear()
for b in range(0, i+1):
print(b)
text_list.pop(b)
print(len(text_list))
break
elif text_list[i] == 'pulisher':
for a in range(0, i-1):
temp.append(text_list[a])
composer.append(''.join(temp))
temp.clear()
for b in range(0, i+1):
text_list.pop(b)
break
i = i +1
return text_list
If you split your array using regex with a capture group, the value that you split on will also be passed into the output array.
You can then loop through looking for 'creator' or 'publisher' and in each case, pass the previous entry into the proper collection.
const text = "hellovision hey creator yoyo b creator great publisher"
const splitArr = text.split(/(creator|publisher)/)
const creators = [], publishers = []
let i = -1, len = splitArr.length
while(++i < len){
if(splitArr[i] == "creator") creators.push(splitArr[i-1].trim())
else if(splitArr[i] == "publisher") publishers.push(splitArr[i-1].trim())
}
console.log("creators: ", creators)
console.log("publishers: ", publishers)
The below script i have to compare Test1 vs Test2.Test1 and Test2 data is mentioned in the bottom .I tried to make it a generic one so that it will work for different devices also.The below script i have to compare Test1 vs Test2.Test1 and Test2 data is mentioned in the bottom .I tried to make it a generic one so that it will work for different devices also
import re
data_cleaned = {}
current_key = ''
action_flag = False
data_group = []
if_found_vlan = True
output = open('./output.txt','r').read()
switch_red = re.findall(r'(\w*-RED\d{0,1})', output)[0]
switch_blue = re.findall(r'(\w*-BLUE\d{0,1})', output)[0]
for line in open('./output.txt'):
m = re.match(r'(\w*-RED\d{0,1}|\w*-BLUE\d{0,1})# sh run vlan \d+', line)
if m:
if not if_found_vlan:
data_cleaned[current_key].append([])
if_found_vlan = False
current_key = m.group(1)
if not data_cleaned.has_key(current_key):
data_cleaned[current_key] = []
continue
mm = re.match(r'vlan \d+', line)
if mm:
if_found_vlan = True
action_flag = True
data_group = []
if action_flag and '' == line.strip():
action_flag = False
data_cleaned[current_key].append(data_group)
if action_flag:
data_group.append(line.replace('\r', '').replace('\n', ''))
if not if_found_vlan:
data_cleaned[current_key].append([])
#print ("+++++++++++++++++ The missing configuration ++++++++++++++\n")
print switch_blue + "#" + " has below missing VLAN config\n "
p = [item for index, item in enumerate(data_cleaned[switch_blue]) if [] != [it for it in item if it not in data_cleaned[switch_red][index]]]
print('\n'.join(['\n'.join(item) for item in p]))
print ("+++++++++++++++++++++++++++++++\n")
print switch_red + "#" + " has below missing VLAN config\n "
q = [item for index, item in enumerate(data_cleaned[switch_red]) if [] != [it for it in item if it not in data_cleaned[switch_blue][index]]]
print('\n'.join(['\n'.join(item) for item in q]))
Update with your raw output, I think use a one-dimensional list to represent your output is not a good way for further handling.
When we handle a data, we first need to clean the data & setup a model easy to handle for further program processing, so I use a dict with a two-dimensional list inside it to model your output, and finally easier to process.
import re
data_cleaned = {}
current_key = ''
action_flag = False
data_group = []
if_found_vlan = True
for line in open('./output.txt'):
m = re.match(r'(Test\d+)# sh run vlan \d+', line)
if m:
if not if_found_vlan:
data_cleaned[current_key].append([])
if_found_vlan = False
current_key = m.group(1)
if not data_cleaned.has_key(current_key):
data_cleaned[current_key] = []
continue
mm = re.match(r'vlan \d+', line)
if mm:
if_found_vlan = True
action_flag = True
data_group = []
if action_flag and '' == line.strip():
action_flag = False
data_cleaned[current_key].append(data_group)
if action_flag:
data_group.append(line.replace('\r', '').replace('\n', ''))
if not if_found_vlan:
data_cleaned[current_key].append([])
print ("+++++++++++++++++ The missing configuration is++++++++++++++\n")
p = [item for index, item in enumerate(data_cleaned['Test2']) if [] != [it for it in item if it not in data_cleaned['Test1'][index]]]
print('\n'.join(['\n'.join(item) for item in p]))
print ("+++++++++++++++++ The missing configuration is++++++++++++++\n")
q = [item for index, item in enumerate(data_cleaned['Test1']) if [] != [it for it in item if it not in data_cleaned['Test2'][index]]]
print('\n'.join(['\n'.join(item) for item in q]))
I am having trouble storing the ID to keys, like a sub (parent-child) kind of thing. I spent hours on it and could not figure a way to accomplish this. What output I am expecting is at the end of this post. Any help would be great.
import sys
import collections
dict = collections.OrderedDict()
dict["A.1"] = {"parent_child":0}
dict["A.1.1"] = {"parent_child":1}
dict["A.1.1.1"] = {"parent_child":2}
dict["A.1.1.2"] = {"parent_child":2}
dict["A.1.1.3"] = {"parent_child":2}
dict["A.1.2"] = {"parent_child":1}
dict["A.1.2.1"] = {"parent_child":2}
dict["A.1.2.2"] = {"parent_child":2}
dict["A.1.2.2.1"] = {"parent_child":3}
dict["A.1.2.2.2"] = {"parent_child":3}
dict["A.1.2.3"] = {"parent_child":2}
dict["A.1.3"] = {"parent_child":1}
dict["A.1.4"] = {"parent_child":1}
print(dict)
new_dict = {}
p = 0 # previous index
i = 0 # current
n = 1 # next index
current_PC = 0 # current parent_child
next_PC = 0 # next parent_child
previous_id = ""
current_id = ""
next_id = ""
change_current = True
change = True
lst = []
while(True):
if change_current:
current_id = dict.keys()[i]
current_PC = dict.values()[i]["parent_child"]
change_current = False
try:
next_id = dict.keys()[n]
next_PC = dict.values()[n]["parent_child"]
except:
pass # it will go out of index
print("KEY {0}".format(current_id))
if next_PC > current_PC:
if next_PC - current_PC == 1:
lst.append(next_PC)
next_PC += 1
print("next_PC: {0}".format(next_PC))
if next_PC == current_PC:
new_dict[current_id] = lst
lst = []
break
print(new_dict)
Trying to make output looks like this (at in similar way), the new_dict should look like:
new_dict["A.1"] = ["A.1.1", "A.1.2", "A.1.3", "A.1.4"]
new_dict["A.1.1"] = ["A.1.1.1", "A.1.1.2", "A.1.1.3"]
new_dict["A.1.1.1"] = []
new_dict["A.1.1.2"] = []
new_dict["A.1.1.3"] = []
new_dict["A.1.2"] = ["A.1.2.1", "A.1.2.2", "A.1.2.3"]
new_dict["A.1.2.1"] = []
new_dict["A.1.2.2"] = ["A.1.2.2.1", "A.1.2.2.2"]
new_dict["A.1.2.2.1"] = []
new_dict["A.1.2.2.2"] = []
new_dict["A.1.2.3"] = []
new_dict["A.1.3"] = []
new_dict["A.1.4"] = []
This gives you the output you are asking for. Since i did not see a {"parent_child":...} in you desired output i did not proceed with anything else.
options = ["A.1","A.1.1","A.1.1.1","A.1.1.2","A.1.1.3","A.1.2","A.1.2.1","A.1.2.2","A.1.2.2.1","A.1.2.2.2","A.1.2.3","A.1.3","A.1.4"]
new_dict = {}
for i, key in enumerate(options):
new_dict[key] = []
ls = []
for j, opt in enumerate(options):
if (key in opt) and (len(opt)-len(key)==2):
new_dict[key].append(opt)
print(new_dict)
EDIT
Using the comment of #Ranbir Aulakh
options = ["A.1","A.1.1","A.1.1.1","A.1.1.2","A.1.1.3","A.1.2","A.1.2.1","A.1.2.2","A.1.2.2.1","A.1.2.2.2","A.1.2.3","A.1.3","A.1.4"]
new_dict = {}
for i, key in enumerate(options):
new_dict[key] = []
ls = []
for j, opt in enumerate(options):
if (key in opt) and (len(opt.split("."))-len(key.split("."))==1):#(len(opt)-len(key)==2):
new_dict[key].append(opt)
print(new_dict)
I am working with ExactTarget FUEL SDK to retrieve data from the SalesForce Marketing Cloud. More specifically I working on calling "Unsub Events"(https://github.com/salesforce-marketingcloud/FuelSDK-Python/blob/master/objsamples/sample_unsubevent.py#L15) but the structure of the SOAP response has couple of deeper nested dictionary objects, which I need to iterate over and place into dataframes. Here is what the response looks like and I need to place each of the variables into seperate dataframe.
(UnsubEvent){
Client =
(ClientID){
ID = 11111111
}
PartnerKey = None
CreatedDate = 2016-07-13 13:37:46.000663
ModifiedDate = 2016-07-13 13:37:46.000663
ID = 11111111
ObjectID = "11111111"
SendID = 11111111
SubscriberKey = "aaa#aaa.com"
EventDate = 2016-07-13 13:37:46.000663
EventType = "Unsubscribe"
TriggeredSendDefinitionObjectID = None
BatchID = 1
List =
(List){
PartnerKey = None
ID = 11111111
ObjectID = None
Type = "aaaa"
ListClassification = "aaa"
}
IsMasterUnsubscribed = False
}]
I have successfully placed all variables in data frames except one "ListClassification". I am getting the error "List instance has no attribute 'ListClassification', my question is why is this happening if I can see the attribute in the response? and is there a fix for the issue?
My Code:
import ET_Client
import pandas as pd
try:
debug = False
stubObj = ET_Client.ET_Client(False, debug)
print '>>>UnsubEvents'
getUnsubEvent = ET_Client.ET_UnsubEvent()
getUnsubEvent.auth_stub = stubObj
getResponse3 = getUnsubEvent.get()
ResponseResultsUnsubEvent = getResponse3.results
#print ResponseResultsUnsubEvent
ClientIDUnsubEvents = []
partner_keys3 = []
created_dates3 = []
modified_date3 = []
ID3 = []
ObjectID3 = []
SendID3 = []
SubscriberKey3 = []
EventDate3 = []
EventType3 = []
TriggeredSendDefinitionObjectID3 = []
BatchID3 = []
IsMasterUnsubscribed = []
ListPartnerKey = []
ListID = []
ListObjectID = []
ListType = []
ListClassification = []
for UnsubEvent in ResponseResultsUnsubEvent:
ClientIDUnsubEvents.append(str(UnsubEvent['Client']['ID']))
partner_keys3.append(UnsubEvent['PartnerKey'])
created_dates3.append(UnsubEvent['CreatedDate'])
modified_date3.append(UnsubEvent['ModifiedDate'])
ID3.append(UnsubEvent['ID'])
ObjectID3.append(UnsubEvent['ObjectID'])
SendID3.append(UnsubEvent['SendID'])
SubscriberKey3.append(UnsubEvent['SubscriberKey'])
EventDate3.append(UnsubEvent['EventDate'])
EventType3.append(UnsubEvent['EventType'])
TriggeredSendDefinitionObjectID3.append(UnsubEvent['TriggeredSendDefinitionObjectID'])
BatchID3.append(UnsubEvent['BatchID'])
IsMasterUnsubscribed.append(UnsubEvent['IsMasterUnsubscribed'])
ListPartnerKey.append(str(UnsubEvent['List']['PartnerKey']))
ListID.append(str(UnsubEvent['List']['ID']))
ListObjectID.append(str(UnsubEvent['List']['ObjectID']))
ListType.append(str(UnsubEvent['List']['Type']))
ListClassification.append(str(UnsubEvent['List']['ListClassification']))
df3 = pd.DataFrame({'ListPartnerKey':ListPartnerKey,'ListID':ListID,'ListObjectID':ListObjectID,'ListType':ListType,
'ClientID':ClientIDUnsubEvents,'PartnerKey':partner_keys3,'CreatedDate':created_dates3,
'ModifiedDate':modified_date3,'ID':ID3,'ObjectID':ObjectID3,'SendID':SendID3,'SubscriberKey':SubscriberKey3,
'EventDate':EventDate3,'EventType':EventType3,'TriggeredSendDefinitionObjectID':TriggeredSendDefinitionObjectID3,
'BatchID':BatchID3,'ListClassification':ListClassification,'IsMasterUnsubscribed':IsMasterUnsubscribed})
print df3
Literally all other attributes are going into the dataframe but not sure why "ListClassification" is not being picked up on.
Thank you in advance for you help!
I am getting the error need more than 1 value to unpack i am using defaultDict to make my list to dictionary.
def getTabsCols(request):
proj_name = request.GET.get('projname')
cursor = connection.cursor()
proj_details = TProjects.objects.get(
attr_project_name=proj_name, attr_project_type='Structure', attr_is_active=1)
pid = proj_details.project_id
query = 'call SP_Get_TABCOL_NAMES('+str(pid)+')'
cursor.execute(query)
proj_details = TProjects.objects.get(
attr_project_name=proj_name, attr_project_type='Structure', attr_is_active=1)
pid = proj_details.project_id
query = 'call SP_Get_TABCOL_NAMES('+str(pid)+')'
cursor.execute(query)
result = cursor.fetchall()
tab_list = []
tab_col_list = []
prd = {}
res = []
for row in result:
tabs = collections.OrderedDict()
schema_name = row[1]
table_name = row[3]
tab = (schema_name + '.' + table_name).encode('utf8')
tabs[tab] = row[5].encode('utf8')
tab_list.append(tabs)
d = collections.defaultdict(set)
for k, v in tab_list:
d1[k].append(v)
d = dict((k, tuple(v)) for k, v in d1.iteritems())
return HttpResponse(d, content_type="text/html")