Finding string around pattern of Strings - regex

Regular expression(May be) to find the word/string surrounded by other words.
===========================================================================
For example I have below sentences
1.I’m setting up a new server, The key is ABC and want to support UTF-8 fully in my web application. Where do I need to set the encoding/charsets?”
2.XYZ is the key for the new server I am setting and it is located at address 111 abc
3.key as of the date is WWW for the new server I am setting at 111, ABC London
4.The key for server is LMN and it is being setup at location 111, abc London.
key will be finite and will only have around 10 values. The value for key itself can be any form though. I have used ACB, XYZ, WWW, LMN as example above
I should be able to identify that Key exists in the sentence and extract value(ACB, XYZ, WWW, LMN) from all the above examples.
I have basically tried finding using if then else which is very cumbersome and dont have very good code to show yet. But will update when I can
I have basically tried finding using if then else which is very cumbersome and dont have very good code to show yet. But will update when I can
I should be able to identify that Key exists in the sentence and extract value(ACB, XYZ, WWW, LMN) from all the above examples.
Another option could be to use Spacy with dependency parsing
Any help will be greatly appreciated

This expression is likely to return the desired output, not sure though:
^(?=.*\b(ABC|XYZ|WWW|LMN)\b).*$
DEMO
Test
import re
regex = r"^(?=.*\b(ABC|XYZ|WWW|LMN)\b).*$"
test_str = """
1.I’m setting up a new server, The key is ABC and want to support UTF-8 fully in my web application. Where do I need to set the encoding/charsets?”
2.XYZ is the key for the new server I am setting and it is located at address 111 abc
3.Key as of the date is WWW for the new server I am setting at 111, ABC London
4.The key for server is LMN and it is being setup at location 111, abc London.
"""
print(re.findall(regex, test_str,re.M))
Output
['ABC', 'XYZ', 'ABC', 'LMN']
The expression is explained on the top right panel of regex101.com, if you wish to explore/simplify/modify it, and in this link, you can watch how it would match against some sample inputs, if you like.

Related

Telegraf: How to extract from field using regex processor?

I would like to extract the values for connections, upstream and downstream using telegraf regex processor plugin from this input:
2022/11/16 22:38:48 In the last 1h0m0s, there were 10 connections. Traffic Relayed ↑ 60 MB, ↓ 4 MB.
Using this configuration the result key "upstream" is a copy of the initial message but without a part of the 'regexed' stuff.
[[processors.regex]]
tagpass = ["snowflake-proxy"]
[[processors.regex.fields]]
## Field to change
key = "message"
## All the power of the Go regular expressions available here
## For example, named subgroups
pattern = 'Relayed.{3}(?P<UPSTREAM>\d{1,4}\W.B),'
replacement = "${UPSTREAM}"
## If result_key is present, a new field will be created
## instead of changing existing field
result_key = "upstream"
Current output:
2022/11/17 10:38:48 In the last 1h0m0s, there were 1 connections. Traffic 3 MB ↓ 5 MB.
How do I get the decimals?
I'm quite a bit confused how to use the regex here, because on several examples in the web it should work like this. See for example: http://wiki.webperfect.ch/index.php?title=Telegraf:_Processor_Plugins
The replacement config option specifies what you want to replace in for any matches.
I think you want something closer to this:
[[processors.regex.fields]]
key = "message"
pattern = '.*Relayed.{3}(?P<UPSTREAM>\d{1,4}\W.B),.*$'
replacement = "${1}"
result_key = "upstream"
to get:
upstream="60 MB"

How to format first 7 rows in this txt file using Regex

I have a text file with data formatted as below. Figured out how to format the second part of the file to format it for upload into a db table. Hitting a wall trying to get the just the first 7 lines to format in the same way.
If it wasn't obvious, I'm trying to get it pipe delimited with the exact same number of columns, so I can easily upload it to the db.
Year: 2019 Period: 03
Office: NY
Dept: Sales
Acct: 111222333
SubAcct: 11122234-8
blahblahblahblahblahblahblah
Status: Pending
1000
AAAAAAAAAA
100,000.00
2000
BBBBBBBBBB
200,000.00
3000
CCCCCCCCCC
300,000.00
4000
DDDDDDDDDD
400,000.00
some kind folks answered my question about the bottom part, using the following code I can format that to look like so -
(.*)\r?\n(.*)\r?\n(.*)(?:\r?\n|$)
substitute with |||||||$1|$2|$3\n
|||||||1000|AAAAAAAAAA|100,000.00
|||||||2000|BBBBBBBBBB|200,000.00
|||||||3000|CCCCCCCCCC|300,000.00
|||||||4000|DDDDDDDDDD|400,000.00
just need help formatting the top part - to look like this, so the entire file matches with the exact same number of columns.
Year: 2019|Period: 03|Office: NY|Dept: Sales|Acct: 111222333|SubAcct: 11122234-8|blahblahblahblahblahblahblah|Status: Pending|||
I'm ok with having multiple passes on the file to get the desired end result.
I've helped you on your previous question, so I will focus now on the first part of your file.
You can use this regex:
\n|\b(?=Period)
Working demo
And use | as the replacement string
If you don't want the previous space before Period, then you can use:
\n|\s(?=Period)

fetching name and age from a text file

I have a .txt file from which I have to fetch name and age.
The .txt file has data in the format like:
Age: 71 . John is 47 years old. Sam; Born: 05/04/1989(29).
Kenner is a patient Age: 36 yrs Height: 5 feet 1 inch; weight is 56 kgs.
This medical record is 10 years old.
Output 1: John, Sam, Kenner
Output_2: 47, 29, 36
I am using the regular expression to extract data. For example, for age, I am using the below regular expressions:
re.compile(r'age:\s*\d{1,3}',re.I)
re.compile(r'(age:|is|age|a|) \s*\d{1,3}(\s|y)',re.I)
re.compile(r'.* Age\s*:*\s*[0-9]+.*',re.I)
re.compile(r'.* [0-9]+ (?:year|years|yrs|yr) \s*',re.I)
I will apply another regular expression to the output of these regular expressions to extract the numbers. The problem is with these regular expressions, I am also getting the data which I do not want. For example
This medical record is 10 years old.
I am getting '10' from the above sentence which I do not want.
I only want to extract the names of people and their age. I want to know what should be the approach? I would appreciate any kind of help.
Please take a look at the Cloud Data Loss Prevention API. Here is a GitHub repo with examples. This is what you'll likely want.
def inspect_string(project, content_string, info_types,
min_likelihood=None, max_findings=None, include_quote=True):
"""Uses the Data Loss Prevention API to analyze strings for protected data.
Args:
project: The Google Cloud project id to use as a parent resource.
content_string: The string to inspect.
info_types: A list of strings representing info types to look for.
A full list of info type categories can be fetched from the API.
min_likelihood: A string representing the minimum likelihood threshold
that constitutes a match. One of: 'LIKELIHOOD_UNSPECIFIED',
'VERY_UNLIKELY', 'UNLIKELY', 'POSSIBLE', 'LIKELY', 'VERY_LIKELY'.
max_findings: The maximum number of findings to report; 0 = no maximum.
include_quote: Boolean for whether to display a quote of the detected
information in the results.
Returns:
None; the response from the API is printed to the terminal.
"""
# Import the client library.
import google.cloud.dlp
# Instantiate a client.
dlp = google.cloud.dlp.DlpServiceClient()
# Prepare info_types by converting the list of strings into a list of
# dictionaries (protos are also accepted).
info_types = [{'name': info_type} for info_type in info_types]
# Construct the configuration dictionary. Keys which are None may
# optionally be omitted entirely.
inspect_config = {
'info_types': info_types,
'min_likelihood': min_likelihood,
'include_quote': include_quote,
'limits': {'max_findings_per_request': max_findings},
}
# Construct the `item`.
item = {'value': content_string}
# Convert the project id into a full resource id.
parent = dlp.project_path(project)
# Call the API.
response = dlp.inspect_content(parent, inspect_config, item)
# Print out the results.
if response.result.findings:
for finding in response.result.findings:
try:
if finding.quote:
print('Quote: {}'.format(finding.quote))
except AttributeError:
pass
print('Info type: {}'.format(finding.info_type.name))
print('Likelihood: {}'.format(finding.likelihood))
else:
print('No findings.')

Get a string after a specific word, using a program that has limited regex features?

Looking for help on building a regex that captures a 1-line string after a specific word.
The challenge I'm running into is that the program where I need to build this regex uses a single line format, in other words dot matches new line. So the formula I created isn't working. See more details below. Any advice or tips?
More specific regex task:
I'm trying to grab the line that comes after the word Details from entries like below. The goal is pull out 100% Silk, or 100% Velvet. This is the material of the product that always comes after Details.
Raw data:
<p>Loose fitted blouse green/yellow lily print.
V-neck opening with a closure string.
Small tie string on left side of top.</p>
<h3>Details</h3> <p>100% Silk.</p>
<p>Made in Portugal.</p> <h3>Fit</h3>
<p>Model is 5‰Ûª10,‰Û size 2 wearing size 34.</p> <p>Size 34 measurements</p>
OR
<p>The velvet version of this dress. High waist fit with hook and zipper closure.
Seams run along edges of pants to create a box-like.</p>
<h3>Details</h3> <p>100% Velvet.</p>
<p>Made in the United States.</p>
<h3>Fit</h3> <p>Model is 5‰Ûª10‰Û, size 2 and wearing size M pants.</p> <p>Size M measurements Length: 37.5"åÊ</p>
<p>These pants run small. We recommend sizing up.</p>
Here is the current formula I created that's not working:
Replace (.)(\bDetails\s+(.)) with $3
The output gives the below:
<p>100% Silk.</p>
<p>Made in Portugal.</p>
<h3>Fit</h3>
<p>Model is 5‰Ûª10,‰Û size 2 wearing size 34.</p>
<p>Size 34 measurements</p>
OR
<p>100% Velvet.</p>
<p>Made in the United States.</p>
<h3>Fit</h3> <p>Model is 5‰Ûª10‰Û, size 2 and wearing size M pants.</p> <p>Size M measurements Length: 37.5"åÊ</p>
<p>These pants run small. We recommend sizing up.</p>
`
How do I capture just the desired string? Let me know if you have any tips! Thank you!
Difficult to provide a working solution in your situation as you mention your program has "limited regex features" but don't explain what limitations.
Here is a Regex you can try to work with to capture the target string
^(?:<h3>Details<\/h3>)(.*)$
I would personally use BeautifulSoup for something like this, but here are two solutions you could use:
Match the line after "Details", then pull out the data.
matches = re.findall('(?<=Details<).*$', text)
matches = [i.strip('<>') for i in matches]
matches = [i.split('<')[0] for i in [j.split('>')[-1] for j in matches]]
Replace "Details<...>data" with "Detailsdata", then find the data.
text = re.sub('Details<.*?<.*>', '', text)
matches = re.findall('(?<=Details).*?(?=<)', text)

Spacy to Conll format without using Spacy's sentence splitter

This post shows how to get dependencies of a block of text in Conll format with Spacy's taggers. This is the solution posted:
import spacy
nlp_en = spacy.load('en')
doc = nlp_en(u'Bob bought the pizza to Alice')
for sent in doc.sents:
for i, word in enumerate(sent):
if word.head == word:
head_idx = 0
else:
head_idx = word.head.i - sent[0].i + 1
print("%d\t%s\t%s\t%s\t%s\t%s\t%s"%(
i+1, # There's a word.i attr that's position in *doc*
word,
word.lemma_,
word.tag_, # Fine-grained tag
word.ent_type_,
str(head_idx),
word.dep_ # Relation
))
It outputs this block:
1 Bob bob NNP PERSON 2 nsubj
2 bought buy VBD 0 ROOT
3 the the DT 4 det
4 pizza pizza NN 2 dobj
5 to to IN 2 dative
6 Alice alice NNP PERSON 5 pobj
I would like to get the same output WITHOUT using doc.sents.
Indeed, I have my own sentence-splitter. I would like to use it, and then give Spacy one sentence at a time to get POS, NER, and dependencies.
How can I get POS, NER, and dependencies of one sentence in Conll format with Spacy without having to use Spacy's sentence splitter ?
A Document in sPacy is iterable, and in the documentation is states that it iterates over Tokens
| __iter__(...)
| Iterate over `Token` objects, from which the annotations can be
| easily accessed. This is the main way of accessing `Token` objects,
| which are the main way annotations are accessed from Python. If faster-
| than-Python speeds are required, you can instead access the annotations
| as a numpy array, or access the underlying C data directly from Cython.
|
| EXAMPLE:
| >>> for token in doc
Therefore I believe you would just have to make a Document for each of your sentences that are split, then do something like the following:
def printConll(split_sentence_text):
doc = nlp(split_sentence_text)
for i, word in enumerate(doc):
if word.head == word:
head_idx = 0
else:
head_idx = word.head.i - sent[0].i + 1
print("%d\t%s\t%s\t%s\t%s\t%s\t%s"%(
i+1, # There's a word.i attr that's position in *doc*
word,
word.lemma_,
word.tag_, # Fine-grained tag
word.ent_type_,
str(head_idx),
word.dep_ # Relation
))
Of course, following the CoNLL format you would have to print a newline after each sentence.
This post is about a user facing unexpected sentence breaks from using the spacy sentence boundary detection. One of the solutions proposed by the developers at Spacy (as on the post) is to add flexibility to add ones own sentence boundary detection rules. This problem is solved in conjunction with dependency parsing by Spacy, not before it. Therefore, I don't think what you're looking for is supported at all by Spacy at the moment, though it might be in the near future.
#ashu 's answer is partly right: dependency parsing and sentence boundary detection are tightly coupled by design in spaCy. Though there is a simple sentencizer.
https://spacy.io/api/sentencizer
It seems the sentecizer just uses punctuation (not the perfect way). But if such sentencizer exists then you can create a custom one using your rules and it will affect sentence boundaries for sure.