I have an angular app using the mongodb sdk for js.
I would like to suggest some words on a input field for the user from my words collection, so I did:
getSuggestions(term: string) {
var regex = new stitch.BSON.BSONRegExp('^' +term , 'i');
return from(this.words.find({ 'Noun': { $regex: regex } }).execute());
}
The problem is that if the user type for example Bie, the query returns a lot of documents but the most accurated are the last ones, for example Bier, first it returns the bigger words, like Bieberbach'sche Vermutung. How can I deal to return the closests documents first?
A regular-expression is probably not enough to do what you are intending to do here. They can only do what they're meant to do – match a string. They might be used to give you a candidate entry to present to the user, but can't judge or weigh them. You're going to have to devise that logic yourself.
Related
I want to use arrayformula for my custom function if possible because I want to input a range of values
I also get this error: TypeError: Cannot read property "0" from null.
Also, this: Service invoked too many times in a short time: exec qps. Try Utilities.sleep(1000) between calls
var regExp = new RegExp("Item: ([^:]+)(?=\n)");
var matches=new regExp(input);
return matches[0];
}
Really appreciated some help
Edit:
Based on the second picture, I also try using this regex formula to find word start with "Billing address"
But for the first picture, I used regex formula to find word start with "Item"
The error appears the same for both custom function.
If you want to use a custom function which finds all the strings that start with Item or item and extracts the contents from after the finding, you can use the code provided below. The regular expression is checked by using the match() function and returns the desired result; otherwise, it will return null.
function ITEM(input) {
var regEx = /(?:I|i)tem\s*(.*)$/;
var matches = input.match(regEx);
if (matches && matches.length > 1) {
return matches[1];
} else {
return null;
}
}
If you want to use the RegExp like you did in the code you have shared, you should use \\ instead of \.
For checking and verifying the regular expressions you can use this site.
The Service invoked too many times in a short time: exec qps. Try Utilities.sleep(1000) between calls. error message you are getting is due to the fact that you are trying to call the custom function on too many cells - for example dragging the custom function on too many cells at once. You can check more about this error message here.
I am querying the adwords api via the following AWQL-Query (which works fine):
SELECT AccountDescriptiveName, CampaignId, CampaignName, AdGroupId, AdGroupName, KeywordText, KeywordMatchType, MaxCpc, Impressions, Clicks, Cost, Conversions, ConversionsManyPerClick, ConversionValue
FROM KEYWORDS_PERFORMANCE_REPORT
WHERE CampaignStatus IN ['ACTIVE', 'PAUSED']
AND AdGroupStatus IN ['ENABLED', 'PAUSED']
AND Status IN ['ACTIVE', 'PAUSED']
AND AdNetworkType1 IN ['SEARCH'] AND Impressions > 0
DURING 20140501,20140531
Now i want to exclude some campaigns:
we have a convention for our new campaigns that the campaign name begins with three numbers followed by an underscore, eg. "100_brand_all"
So i want to get only these new campaigns..
I tried lots of different variations for STARTS_WITH but only exact strings are working - but i need a pattern to match!
I already read https://developers.google.com/adwords/api/docs/guides/awql?hl=en and following its content it should be possible to use a WHERE expression like this:
CampaignName STARTS_WITH ['0','1','2','3']
But that doesn't work!
Any other ideas how i can achieve this?
Well, why don't you run a campaign performance report first, then process that ( get the campaign ids you want or don't want) the use those in the "CampaignId IN [campaign ids here] . or CampaignID NOT_IN [campaign ids]
I have two databases that store phone numbers. The first one stores them with a country code in the format 15555555555 (a US number), and the other can store them in many different formats (ex. (555) 555-5555, 5555555555, 555-555-5555, 555-5555, etc.). When a phone number unsubscribes in one database, I need to unsubscribe all references to it in the other database.
What is the best way to find all instances of phone numbers in the second database that match the number in the first database? I'm using the entity framework. My code right now looks like this:
using (FusionEntities db = new FusionEntities())
{
var communications = db.Communications.Where(x => x.ValueType == 105);
foreach (var com in communications)
{
string sRegexCompare = Regex.Replace(com.Value, "[^0-9]", "");
if (sMobileNumber.Contains(sRegexCompare) && sRegexCompare.Length > 6)
{
var contact = db.Contacts.Where(x => x.ContactID == com.ContactID).FirstOrDefault();
contact.SMSOptOutDate = DateTime.Now;
}
}
}
Right now, my comparison checks to see if the first database contains at least 7 digits from the second database after all non-numeric characters are removed.
Ideally, I want to be able to apply the regex formatting to the point in the code where I get the data from the database. Initially I tried this, but I can't use replace in a LINQ query:
var communications = db.Communications.Where(x => x.ValueType == 105 && sMobileNumber.Contains(Regex.Replace(x.Value, "[^0-9]", "")));
Comparing phone numbers is a bit beyond the capability of regex by design. As you've discovered there are many ways to represent a phone number with and without things like area codes and formatting. Regex is for pattern matching so as you've found using the regex to strip out all formatting and then comparing strings is doable but putting logic into regex which is not what it's for.
I would suggest the first and biggest thing to do is sort out the representation of phone numbers. Since you have database access you might want to look at creating a new field or table to represent a phone number object. Then put your comparison logic in the model.
Yes it's more work but it keeps the code more understandable going forward and helps cleanup crap data.
I'm about to break this down into two operations since I can't seem to figure out the regular expression to do it in one. However, I thought I would ask the brain trust here to see if anyone can do it (which I'm sure someone can).
Essentially I have a string containing a recipients field from an email in Exchange. I want to parse it out into individual recipients. I don't need to validate emails or anything. Essentially the data is comma separated except if the comma is in between a set of quotes. That's the part that's messing me up.
Right now I'm using: (?"[^"\r\n]*")
Which gives me the quoted names, and ([a-zA-Z0-9_-.]+)#(([[0-9]{1,3}.[0-9]{1,3}.[0-9]{1,3}.)|(([a-zA-Z0-9-]+.)+))([a-zA-Z]{2,4}|[0-9]{1,3})
which gives me the email addresses
Here's what I have..
Data:
"George Washington" <gwashington#government.net>, "Abraham Lincoln" <alincoln#government.net>, "Carter, Jimmy" <jimmy.carter#presidents.com>, "Nixon, Richard M." <tricky.dick#presidents.com>
What I'd like to get back is this:
"George Washington" <gwashington#government.net>
"Abraham Lincoln" <alincoln#government.net>
"Carter, Jimmy" <jimmy.carter#presidents.com>
"Nixon, Richard M." <tricky.dick#presidents.com>
I dont know enough about the exchange to get the pattern that will match for any exchange recipients entries.
But based on information past for you as an example. I give you this:
["][^"]+["][^",]+(?=[,]?)
This match all for entries that you post.
And know a simple example in C# how to use:
var input = "\"George Washington\" <gwashington#government.net>, \"Abraham Lincoln\" <alincoln#government.net>, \"Carter, Jimmy\" <jimmy.carter#presidents.com>, \"Nixon, Richard M.\" <tricky.dick#presidents.com>";
var pattern = "[\"][^\"]+[\"][^\",]+(?=[,]?)";
var items = Regex.Matches(input, pattern)
.Cast<Match>()
.Select(s => s.Value)
.ToList();
If there is a input text that this pattern dont work please post the input here.
Regex.Match(input, #"\"[^\"]*\"\s\<[^>]*>");
Is there a way to validate a Salesforce ID, maybe using RegEx? They are normally 15 chars or 18 chars but do they follow a pattern that we can use to check that it's a valid id.
There are two levels of validating salesforce id:
check format using regular expression [a-zA-Z0-9]{15}|[a-zA-Z0-9]{18}
for 18-characted ids you can check the the 3-character checksum:
Code examples provided in comments:
C#
Go
Javascript
Ruby
Something like this should work:
[a-zA-Z0-9]{15,18}
It was suggested that this may be more correct because it prevents Ids with lengths of 16 and 17 characters to be rejected, also we try to match against 18 char length first with 15 length as a fallback:
[a-zA-Z0-9]{18}|[a-zA-Z0-9]{15}
Just use instanceOf to check if the string is an instance of Id.
String s = '1234';
if (s instanceOf Id) System.debug('valid id');
else System.debug('invalid id');
The easiest way I've come across, is to create a new ID variable and assign a String to it.
ID MyTestID = null;
try {
MyTestID = MyTestString; }
catch(Exception ex) { }
If MyTestID is null after trying to assign it, the ID was invalid.
This regex has given me the optimal results so far.
\b[a-z0-9]\w{4}0\w{12}|[a-z0-9]\w{4}0\w{9}\b
You can also check for 15 chars, and then add an extra 3 chars optional, with an expression similar to:
^[a-z0-9]{15}(?:[a-z0-9]{3})?$
on i mode, or not:
^[A-Za-z0-9]{15}(?:[A-Za-z0-9]{3})?$
Demo
If you wish to simplify/modify/explore the expression, it's been explained on the top right panel of regex101.com. If you'd like, you can also watch in this link, how it would match against some sample inputs.
RegEx Circuit
jex.im visualizes regular expressions:
Javascript: /^(?=.*?\d)(?=.*?[a-z])[a-z\d]{18}$/i
These were the Salesforce Id validation requirements for me.
18 characters only
At least one digit
At least one alphabet
Case insensitive
Test cases
Should fail
1
a
1234
abgcde
1234aDcde
12345678901234567*
123456789012345678
abcDefghijabcdefgh
Should pass
1234567890abcDeFgh
1234abcd1234abcd12
abcd1234abcd1234ab
1abcDefhijabcdefgf
abcDefghijabcdefg1
12345678901234567a
a12345678901234567
For understanding the regex, please refer this thread
The regex provided by Daniel Sokolowski works perfectly to verify if the id is in the correct format.
If you want to verify if an id corresponds to an actual record in the database, you'll need to first find the object type from the first three characters (commonly known as prefix) and then query the object type:
boolean isValidAndExists(String key) {
Map<String, Schema.SObjectType> objTypes = Schema.getGlobalDescribe();
for (Schema.SObjectType objType : objTypes.values()) {
Schema.DescribeSObjectResult objDesc = objType.getDescribe();
if (objDesc.getKeyPrefix() == key.substring(0,3)) {
String objName = objDesc.getName();
String query = 'SELECT Id FROM ' + objName + ' WHERE Id = \'' + key + '\'';
SObject[] objs = Database.query(query);
return !objs.isEmpty();
}
}
return false;
}
Be aware that Schema.getGlobalDescribe can be an expensive operation and degrade the performance of your application if you use that often.
If you need to check that often, I recommend creating a Custom Setting or Custom Metadata to store the relation between prefixes and object types.
Assuming you want to validate Ids in Apex, there are a few approaches discussed in the other answers. Here is an alternative, with notes on the various approaches.
The try-catch method (credit to #matt_k) certainly works, but some folks worry about overhead, especially if testing many Ids.
I used instanceof Id for a long time (credit to #melani_s), until I discovered that it sometimes gives the wrong answer (e.g., '481D0B74-41CF-47E9').
Multiple answers suggest regexen. As the accepted answer correctly points out (credit to #zacheusz), 18 character Ids are only valid if their checksums are correct, which means the regex solutions can be wrong. That answer also helpfully provides code in several languages to test Id checksums. But not in Apex.
I was going to implement the checksum code in Apex, but then I realized the Salesforce had already done the work, so instead I just convert 18 digit Ids to 15 digit Ids (via .to15() which uses the checksum to fix capitalization, as opposed to truncating the string) and then back to 18 digits to let SF do the checksum calc, then I compare the original checksum and the new one. This is my method:
static Pattern ID_REGEX = Pattern.compile('[a-zA-Z0-9]{15}(?:[A-Z0-5]{3})?');
/**
* #description Determines if a string is a valid SalesforceId. Confirms checksum of 18 digit Ids.
* Works for cases where `x instanceof id` returns the wrong answer, like '481D0B74-41CF-47E9'.
* Does NOT check for the existence of a record with the given Id.
* #param s a string to validate
*
* #return true if the string `s` is a valid Salesforce Id.
*/
public static Boolean isValidId(String s) {
Matcher m = ID_REGEX.matcher(s);
if (m.matches() == false) return false; // if it doesn't match the regex it cannot be valid
if (s.length() == 15) return true; // if 15 char string matches the regex, assume it must be valid
String check = (Id)((Id)s).to15(); // Convert to 15 char Id, then to Id and back to string, giving correct 18-char Id
return s.right(3) == check.right(3); // if 18 char string matches the regex, valid if checksum correct
}
Additionally checking getSObjectType() != null would be perfect if we are dealing with Salesforce records
public static boolean isRecordId(string recordId){
try{
return string.isNotBlank(recordId) && ((Id)recordId.trim()).getSObjectType() != null;
}catch(Exception ex){
return false;
}
}