Extract incident details from Service Now in Excel - vba

I am trying to extract ticket details from Service Now. Is there a way to extract the details without ODBC ? I have also tried the solution mentioned in [1]: https://community.servicenow.com/docs/DOC-3844, but I am receiving an error 9 -subscript out of range.
Is there a better way to extract details efficiently? I tried asking this in the service now forum but I thought I might get other opinions from here.

It's been a while since this question is asked. Hopefully following is still useful.
I am extracting change data (not incident) , but the process still should be same. You will need to gather incident table and column information. Then there are couple of ways to approach the problem.
1) If the data you are extracting has fixed parameters , such as fixed period or fixed column or group etc., then you can create a report within servicenow and then use REST/SOAP API to get the data in text/csv format. You can use different python modules to convert from csv to xls or xlsx depending on you need. I used openpyXL ,csv , xlsreader ,xlswriter etc.
See here for a example
ServiceNow - How to use SOAP to download reports
2) If the data has dynmaic parameters where you need to change columns, dates or filter etc, you can still use soap / REST API but form query within python scripts instead of having static report. This way you can change it based on your requirement on the fly.
Here is an example query for DB. you can use example for above. Just switch url with following.
table_name = 'u_change_table_name' #SN DB holding change/INCIDENT info
table_limit = 800
table_query = 'active=true&sysparm_display_value=true&planned_start_date=today'
date_query = 'chg_start_date>=javascript:gs.daysAgoStart(1)^active=true^chg_type=normal'
table_fields = 'chg_number,chg_start_date,chg_duration,chg_end_date' #Actual column names from DB and not from SN report.
url= (
'https://yourcompany.service-now.com/api/now/table/' +table_name +\
'?sysparm_query=' + date_query + '&sysparm_fields=' \
+ table_fields + '&sysparm_limit=' + str(table_limit)
)

Related

BigQuery: Convert a text column to UTF-8

I want to start a Vertex AI AutoML Text Entity Extraction Batch Prediction Job, but in my own experience, texts ("content" field in the JSONL structure), must also accomplish the following two features:
Every text's size in bytes, must be between 10 and 10000 bytes: DONE
Every text encoding must be UTF-8: UNKNOWN
My original data is stored in BigQuery, so I'll have to export it to Google Cloud Storage for later batch prediction. To take advantage of BigQuery optimization, I want to accomplish the 2 previous tasks in the BigQuery data source table itself. I have checked Google's official documentation, and the closest I have got to some related information, is this; however not accurate VS what I want. BTW, the query looks as follows:
WITH mydata AS (
SELECT
CASE
WHEN BYTE_LENGTH(posting)>10000 THEN LEFT(posting, 9950)
WHEN BYTE_LENGTH(posting)<10 THEN CONCAT(posting, " is possibly an skill")
ELSE posting
END AS posting
FROM `my-project.Machine_Learning_Datasets.sample-data-source` -- Modified for data protection
)
SELECT
posting as content, -- Something needs to be done here
"text" as mimeType
FROM mydata
And my-project.Machine_Learning_Datasets.sample-data-source schema looks as follows:
Field name
Type
Mode
Records
posting
STRING
NULLABLE
100M
Any ideas?
The following answer did the job, FYI:
WITH
mydata AS (
SELECT
CASE
WHEN BYTE_LENGTH(posting)>10000 THEN LEFT(posting, 9950)
WHEN BYTE_LENGTH(posting)<10 THEN CONCAT(posting, " is possibly an skill")
ELSE
posting
END
AS posting
FROM
`my-project.Machine_Learning_Datasets.sample-data-source` )
SELECT
REGEXP_REPLACE(posting, r'[^\x00-\x7F]+', '') AS content,
"text/plain" AS mimeType
FROM
mydata
UPDATE: This case has been considered, for an improved workaround.
Thanks!

Is there a way to execute text gremlin query with PartitionStrategy

I'm looking for an implementation to run text query ex: "g.V().limit(1).toList()" while using the PatitionStrategy in Apache TinkerPop.
I'm attempting to build a REST interface to run queries on selected graph paritions only. I know how to run a raw query using Client, but I'm looking for an implementation where I can create a multi-tenant graph (https://tinkerpop.apache.org/docs/current/reference/#partitionstrategy) and query only selected tenants using raw text query instead of a GLV. Im able to query only selected partitions using pythongremlin, but there is no reference implementation I could find to run a text query on a tenant.
Here is tenant query implementation
connection = DriverRemoteConnection('ws://megamind-ws:8182/gremlin', 'g')
g = traversal().withRemote(connection)
partition = PartitionStrategy(partition_key="partition_key",
write_partition="tenant_a",
read_partitions=["tenant_a"])
partitioned_g = g.withStrategies(partition)
x = partitioned_g.V.limit(1).next() <---- query on partition only
Here is how I execute raw query on entire graph, but Im looking for implementation to run text based queries on only selected partitions.
from gremlin_python.driver import client
client = client.Client('ws://megamind-ws:8182/gremlin', 'g')
results = client.submitAsync("g.V().limit(1).toList()").result().one() <-- runs on entire graph.
print(results)
client.close()
Any suggestions appreciated? TIA
It depends on how the backend store handles text mode queries, but for the query itself, essentially you just need to use the Groovy/Java style formulation. This will work with GremlinServer and Amazon Neptune. For other backends you will need to make sure that this syntax is supported. So from Python you would use something like:
client.submit('
g.withStrategies(new PartitionStrategy(partitionKey: "_partition",
writePartition: "b",
readPartitions: ["b"])).V().count()')

karate - how to read individual values from database query instead of hardcoding [duplicate]

This question already has an answer here:
Error using DBUtils in first scenario [duplicate]
(1 answer)
Closed 1 year ago.
In karate, I am trying to read database query
* def AccountDetails = db.readRow('select * from ')
From this I am trying to read individual values from this query and set this to one value
* set oimattrDetails $.User Login = AccountDetails.UD_BLR_USR_USER_LOGIN
Here, UD_BLR_USR_USER_LOGIN - is of the attribute present in the particular database
I do not want to hard code this value at this point. Instead assign this to some reference value and call it
*def USER_LOGIN = UD_BLR_USR_USER_LOGIN
Now use USER_LOGIN
* set oimattrDetails $.User Login = AccountDetails.USER_LOGIN
Something like this..But this is not working
Can any one help me here with exact syntax to use
A lot depends on what is the type of object returned by this code:
db.readRow()
That code is not part of Karate and you should provide more details here on that part - otherwise no one can help you. If it is not written by you, talk to the person or team who has written it - there is no point in talking about database "attributes". Maybe a simple solution is to add some Java code to the db object (I am assuming this is a Java utility) - to solve for your specific use case.
In short, your question sounds to me that it has nothing to do with Karate.

How to create a view against a table that has record fields?

We have a weekly backup process which exports our production Google Appengine Datastore onto Google Cloud Storage, and then into Google BigQuery. Each week, we create a new dataset named like YYYY_MM_DD that contains a copy of the production tables on that day. Over time, we have collected many datasets, like 2014_05_10, 2014_05_17, etc. I want to create a data set Latest_Production_Data that contains a view for each of the tables in the most recent YYYY_MM_DD dataset. This will make it easier for downstream reports to write their query once and always retrieve the most recent data.
To do this, I have code that gets the most recent dataset and the names of all the tables that dataset contains from the BigQuery API. Then, for each of these tables, I fire a tables.insert call to create a view that is a SELECT * from the table I am looking to create a reference to.
This fails for tables that contain a RECORD field, from what looks to be a pretty benign column-naming rule.
For example, I have this table:
For which I issue this API call:
{
'tableReference': {
'projectId': 'redacted',
'tableId': u'AccountDeletionRequest',
'datasetId': 'Latest_Production_Data'
}
'view': {
'query': u'SELECT * FROM [2014_05_17.AccountDeletionRequest]'
},
}
This results in the following error:
HttpError: https://www.googleapis.com/bigquery/v2/projects//datasets/Latest_Production_Data/tables?alt=json returned "Invalid field name "__key__.namespace". Fields must contain only letters, numbers, and underscores, start with a letter or underscore, and be at most 128 characters long.">
When I execute this query in the BigQuery web console, the columns are renamed to translate the . to an _. I kind of expected the same thing to happen when I issued the create view API call.
Is there an easy way I can programmatically create a view for each of the tables in my dataset, regardless of their underlying schema? The problem I'm encountering now is for record columns, but another problem I anticipate is for tables that have repeated fields. Is there some magic alternative to SELECT * that will take care of all these intricacies for me?
Another idea I had was doing a table copy, but I would prefer not to duplicate the data if I can at all avoid it.
Here is the workaround code I wrote to dynamically generate a SELECT statement for each of the tables:
def get_leaf_column_selectors(dataset, table):
schema = table_service.get(
projectId=BQ_PROJECT_ID,
datasetId=dataset,
tableId=table
).execute()['schema']
return ",\n".join([
_get_leaf_selectors("", top_field)
for top_field in schema["fields"]
])
def _get_leaf_selectors(prefix, field):
if prefix:
format = prefix + ".%s"
else:
format = "%s"
if 'fields' not in field:
# Base case
actual_name = format % field["name"]
safe_name = actual_name.replace(".", "_")
return "%s as %s" % (actual_name, safe_name)
else:
# Recursive case
return ",\n".join([
_get_leaf_selectors(format % field["name"], sub_field)
for sub_field in field["fields"]
])
We had a bug where you needed to need to select out the individual fields in the view and use an 'as' to rename the fields to something legal (i.e they don't have '.' in the name).
The bug is now fixed, so you shouldn't see this issue any more. Please ping this thread or start a new question if you see it again.

MOSS 2007: What is the source of "Directories"?

I'm trying to generate a new SharePoint list item directly using SQL server. What's stopping me is damn tp_DirName column. I have no ideas how to create this value.
Just for instance, I have selected all tasks from AllUserData, and there are possible values for the column: 'MySite/Lists/Task', 'Lists/Task' and even 'MySite/Lists/List2'.
MySite is the FullUrl value from Webs table. I can obtain it. But what about 'Lists/Task' and '/Lists/List2'? Where they are stored?
If try to avoid SQL context, I can formulate it the following way: what is the object, that has such attribute as '/Lists/List2'? Where can I set it up in GUI?
Just a FYI. It is VERY not supported to try and write directly to SharePoint's SQL Tables. You should really try and write something that utilizes the SharePoint Object Model. Writing to the SharePoint database directly mean Microsoft will not support the environment.
I've discovered, that [AllDocs] table, in contrast to its title, contains information about "directories", that can be used to generate tp_DirName. At least, I've found "List2" and "Task" entries in [AllDocs].[tp_Leaf] column.
So the solution looks like this -- concatenate the following 2 components to get tp_DirName:
[Webs].[FullUrl] for the web, containing list, containing item.
[AllDocs].[tp_Leaf] for the list, containing item.
Concatenate the following 2 components to get tp_Leaf for an item:
(Item count in the list) + 1
'_.000'
Regards,
Well, my previous answer was not very useful, though it had a key to the magic. Now I have a really useful one.
Whatever they said, M$ is very liberal to the MOSS DB hackers. At least they provide the following documents:
http://msdn.microsoft.com/en-us/library/dd304112(PROT.13).aspx
http://msdn.microsoft.com/en-us/library/dd358577(v=PROT.13).aspx
Read? Then, you know that all folders are listed in the [AllDocs] table with '1' in the 'Type' column.
Now, let's look at 'tp_RootFolder' column in AllLists. It looks like a folder id, doesn't it? So, just SELECT the single row from the [AllDocs], where Id = tp_RootFolder and Type = 1. Then, concatenate DirName + LeafName, and you will know, what the 'tp_DirName' value for a newly generated item in the list should be. That looks like a solid rock solution.
Now about tp_LeafName for the new items. Before, I wrote that the answer is (Item count in the list) + 1 + '_.000', that corresponds to the following query:
DECLARE #itemscount int;
SELECT #itemscount = COUNT(*) FROM [dbo].[AllUserData] WHERE [tp_ListId] = '...my list id...';
INSERT INTO [AllUserData] (tp_LeafName, ...) VALUES(CAST(#itemscount + 1 AS NVARCHAR(255)) + '_.000', ...)
Thus, I have to say I'm not sure that it works always. For items - yes, but for docs... I'll inquire into the question. Leave a comment if you want to read a report.
Hehe, there is a stored procedure named proc_AddListItem. I was almost right. MS people do the same, but instead of (count + 1) they use just... tp_ID :)
Anyway, now I know THE SINGLE RIGHT answer: I have to call proc_AddListItem.
UPDATE: Don't forget to present the data from the [AllUserData] table as a new item in [AllDocs] (just insert id and leafname, see how SP does it itself).