42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
import csv
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from rdflib import Graph, URIRef, Literal, Namespace
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from rdflib.namespace import RDF, RDFS, XSD
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# Define namespaces
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SINCERE = Namespace("http://sincere.org/s1#")
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graph = Graph()
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graph.bind("sincere", SINCERE)
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graph.bind("xsd", XSD)
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# Create initial triples for the station
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station_uri = URIRef(SINCERE + "davis2")
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# Read the CSV file and generate barometer triples
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csv_file = 'outside_humidity.csv' # Replace with your CSV file path
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with open(csv_file, newline='') as csvfile:
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reader = csv.DictReader(csvfile)
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# Print the headers to check what's inside
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print("CSV Headers:", reader.fieldnames)
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for i, row in enumerate(reader, start=1):
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# Normalize column names by stripping spaces and lowercasing them
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row = {key.strip().lower(): value.strip() for key, value in row.items()}
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print(row)
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humidity_uri = URIRef(SINCERE + f"davis2/humidity/{i}")
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# Add the barometer triples
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graph.add((station_uri, SINCERE.hasHumidity, humidity_uri))
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graph.add((humidity_uri, RDF.type, SINCERE.Humidity))
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graph.add((humidity_uri, SINCERE.value, Literal(row["outsidehumidity"], datatype=XSD.integer)))
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graph.add((humidity_uri, SINCERE.timestamp, Literal(row["ο»ώtime"], datatype=XSD.string)))
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# Save the RDF triples to a Turtle file
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output_file = 'humidity-translated.ttl'
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graph.serialize(destination=output_file, format='turtle')
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print(f"RDF triples saved to {output_file}")
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