Upload files to "meteorogical_data"

meteorogical_data/helper_meteo.py

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+import json
+from rdflib import Graph, Literal, Namespace, RDF, URIRef, XSD
+import os
+
+# Define the namespaces
+SINCERE = Namespace("http://sincere.org/s1#")
+
+
+# Function to convert JSON to RDF
+def json_to_rdf(json_data, rdf_file_path):
+    # Create an RDF graph
+    g = Graph()
+
+    # Bind the SINCERE namespace
+    g.bind("sincere", SINCERE)
+
+    # Process each entry in the data
+    for i, entry in enumerate(json_data['data'], start=1):
+        channel_id = entry['channel_id']
+        data_value = entry['data_value']
+        measurement = entry['measurement']
+        time = entry['time']
+
+        channel_uri = URIRef(f"http://sincere.org/s1/resource/channel_{channel_id}")
+        measurement_uri = URIRef(f"http://sincere.org/s1/resource/measurement_{channel_id}_{i}")
+
+        g.add((channel_uri, RDF.type, SINCERE.Channel))
+        g.add((channel_uri, SINCERE.hasMeasurement, measurement_uri))
+
+        g.add((measurement_uri, RDF.type, SINCERE.Measurement))
+        g.add((measurement_uri, SINCERE.measurement, Literal(measurement, datatype=XSD.string)))
+        g.add((measurement_uri, SINCERE.time, Literal(time, datatype=XSD.string)))
+        g.add((measurement_uri, SINCERE.value, Literal(data_value, datatype=XSD.float)))
+
+    # Serialize the graph in Turtle format and save to a file
+    g.serialize(destination=rdf_file_path, format="turtle")
+
+
+# Function to read all JSON files from a folder and process each one
+def process_json_files(input_dir, output_dir):
+    # Ensure the output directory exists
+    os.makedirs(output_dir, exist_ok=True)
+
+    # Iterate over all files in the input directory
+    count = 1
+    for file_name in os.listdir(input_dir):
+        file_path = os.path.join(input_dir, file_name)
+
+        if os.path.isfile(file_path) and file_path.endswith('.json'):
+            try:
+                # Read JSON data from the file
+                with open(file_path, 'r') as file:
+                    json_data = json.load(file)
+
+                # Generate an RDF file path based on the file name
+                rdf_file_name = "output_channel_" + str(count) + ".ttl"
+                rdf_file_path = os.path.join(output_dir, rdf_file_name)
+
+                # Convert JSON to RDF and save to file
+                json_to_rdf(json_data, rdf_file_path)
+                print(f"Processed {file_name} -> {rdf_file_path}")
+                count += 1
+            except json.JSONDecodeError as e:
+                print(f"Error decoding JSON in file {file_name}: {e}")
+            except PermissionError:
+                print(f"Permission denied for file {file_name}")
+
+
+# Example usage
+input_dir = 'C:/Users/USER/PycharmProjects/sincere/meteorogical_data/input_json_file'  # Replace with your input directory containing JSON files
+output_dir = 'C:/Users/USER/PycharmProjects/sincere/meteorogical_data/output_json_file'  # Replace with your desired output directory for RDF files
+
+process_json_files(input_dir, output_dir)