fetching name and age from a text file - regex

Question

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.

Answer 1

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.')