-
Notifications
You must be signed in to change notification settings - Fork 0
/
check_timeliness.py
71 lines (56 loc) · 2.03 KB
/
check_timeliness.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
# -*- coding: utf-8 -*-
"""
[Martinez-Gil2023d] Framework to Automatically Determine the Quality of Open Data Catalogs, arXiv preprint arXiv:2307.15464, 2023
@author: Jorge Martinez-Gil
"""
import sys
from datetime import datetime, timedelta
from rdflib import Graph, RDF, Namespace
import pytz
# Define some RDF prefixes
dcat = Namespace("http://www.w3.org/ns/dcat#")
foaf = Namespace("http://xmlns.com/foaf/0.1/")
rdf = Namespace("http://www.w3.org/1999/02/22-rdf-syntax-ns#")
dcterms = Namespace("http://purl.org/dc/terms/")
def check_timeliness(rdf_data):
"""
Checks the timeliness of an RDF data file containing a DCAT catalog.
Args:
rdf_data (str): The RDF data as a string.
Returns:
bool: True if the catalog is timely, False otherwise.
"""
graph = Graph()
graph.parse(data=rdf_data, format="turtle")
# Get the modified date of the catalog
modified_date = None
for s, p, o in graph.triples((None, RDF.type, dcat.Catalog)):
for s2, p2, o2 in graph.triples((s, dcterms.modified, None)):
modified_date = o2
break
break
# Check if the modified date is within the last year
if modified_date:
modified_date_str = str(modified_date)
modified_date = datetime.strptime(modified_date_str, '%Y-%m-%dT%H:%M:%S%z')
one_year_ago = datetime.now(pytz.UTC) - timedelta(days=365)
if modified_date > one_year_ago:
return True
return False
"""
Program that checks the timeliness of a DCAT catalog.
Usage: python check_timeliness.py filepath
"""
def main():
# Get path to RDF data file from command line argument
if len(sys.argv) < 2:
print("Usage: python check_timeliness.py filepath")
sys.exit(1)
rdf_data_path = sys.argv[1]
# Load RDF data from file
with open(rdf_data_path, "r", encoding="utf-8") as f:
rdf_data = f.read()
result = check_timeliness(rdf_data)
print(f"The timeliness {rdf_data_path} is {result}.")
if __name__ == "__main__":
main()