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Merge pull request #1 from casework/ci-workflows
Workflows
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‎.github/workflows/build.yml

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name: Build Jobs
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on: [ push ]
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# Build all of the projects and run them against the CASE graph
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jobs:
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dotnet:
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runs-on: ubuntu-latest
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steps:
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# Get the code from the repository
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- name: Get Repo
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uses: actions/checkout@v3
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# Install the .NET SDK
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- name: Setup .NET
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uses: actions/[email protected]
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with:
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dotnet-version: 6.x
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# Build the project
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- name: Build
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run: dotnet build
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working-directory: ./dotnet/
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# Run the built CASE conversion example
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- name: Run CASE Conversion
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run: |
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dotnet run ../data/geo.json ../output/dotnet.geojson
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cat ../output/dotnet.geojson
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working-directory: ./dotnet/
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python:
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runs-on: ubuntu-latest
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steps:
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# Get the code from the repository
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- name: Get Repo
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uses: actions/checkout@v3
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# Install Python
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- name: Setup Python
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uses: actions/[email protected]
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with:
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python-version: 3.9
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# Install the rdflib dependency
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- name: Install Dependencies
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run: pip3 install rdflib
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# Run the Python CASE conversion example
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- name: Run CASE Conversion
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run: |
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ls
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python3 CASE2GeoJSON.py ../data/geo.json ../output/python.geojson
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cat ../output/python.geojson
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working-directory: ./python/
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java:
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runs-on: ubuntu-latest
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steps:
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# Get the code from the repository
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- name: Get Repo
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uses: actions/checkout@v3
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# Install Java
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- name: Setup Java
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uses: actions/[email protected]
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with:
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distribution: 'temurin'
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java-version: '18'
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cache: 'maven'
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# Build the project
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- name: Build Project
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run: mvn compile assembly:single
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working-directory: ./java/case2geo/
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# Run the Java CASE conversion example
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- name: Run CASE Conversion
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run: |
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java -jar ./target/case2geo-0.1.0.jar ../../data/geo.json ../../output/java.geojson
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cat ../../output/java.geojson
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working-directory: ./java/case2geo/

‎.github/workflows/case_validate.yml

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name: CASE Validate
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on: [ push ]
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# Ensure all of the files in /data/ are valid CASE graphs.
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jobs:
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validate:
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runs-on: ubuntu-latest
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steps:
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# Get the code from the repository to be packaged
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- name: Get Repo
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uses: actions/checkout@v3
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# Validate the CASE graphs in the /data/ directory
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- name: CASE Validate
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uses: kchason/[email protected]
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with:
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case-path: "./data/"
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case-version: "case-1.2.0"
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extension-filter: "json"

‎.github/workflows/lint.yml

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name: Lint
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on: [ push ]
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# Build all of the projects and run them against the CASE graph
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jobs:
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lint:
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runs-on: ubuntu-latest
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steps:
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# Get the code from the repository
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- name: Get Repo
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uses: actions/checkout@v3
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# Install pre-commit and run it
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- name: Pre-commit Checks
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run: |
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pip -q install pre-commit
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pre-commit run --all-files

‎.pre-commit-config.yaml

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- id: end-of-file-fixer
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- id: check-yaml
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- id: check-added-large-files
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- id: check-case-conflict
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- id: check-merge-conflict
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- id: check-json
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- id: check-xml

‎java/case2geo/pom.xml

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<properties>
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<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
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<maven.compiler.source>1.18</maven.compiler.source>
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<maven.compiler.target>1.18</maven.compiler.target>
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<maven.compiler.source>18</maven.compiler.source>
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<maven.compiler.target>18</maven.compiler.target>
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<exec.mainClass>org.caseontology.examples.CASE2Geo</exec.mainClass>
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</properties>
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‎python/CASE2GeoJSON.py

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import json
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import sys
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from os.path import exists, isdir, isfile
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from geotypes import GeoRecord
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from geoutilities import records_to_geojson, remove_nulls
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from rdflib import Graph
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# Parse the arguments from the CLI to get the input and output filenames
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if len(sys.argv) != 3:
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print("Usage: python case2geojson.py <input-file> <output-file>")
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sys.exit(1)
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input_filename: str = sys.argv[1]
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output_filename: str = sys.argv[2]
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# Ensure the input file exists
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if not exists(input_filename) and not isfile(input_filename):
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print(f"File not found: {input_filename}")
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sys.exit(1)
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# Ensure the output directory exists
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output_directory: str = output_filename[: output_filename.rfind("/")]
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if not exists(output_directory) and not isdir(output_directory):
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print(f"Directory not found: {output_directory}")
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sys.exit(1)
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# Build the rdflib graph from the input file
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graph: Graph = Graph()
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graph.parse(input_filename)
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# Write the SPARQL query to get the data from the graph
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query: str = """
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SELECT ?lLatitude ?lLongitude ?lAddressType ?lCountry ?lLocality ?lPostalCode ?lRegion ?lStreet
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WHERE
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{
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?nLocation a uco-location:Location .
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OPTIONAL
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{
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?nLocation uco-core:hasFacet ?nLatLongFacet .
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?nLatLongFacet a uco-location:LatLongCoordinatesFacet .
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OPTIONAL { ?nLatLongFacet uco-location:latitude ?lLatitude . }
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OPTIONAL { ?nLatLongFacet uco-location:longitude ?lLongitude . }
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}
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OPTIONAL {
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?nLocation uco-core:hasFacet ?nSimpleAddressFacet .
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?nSimpleAddressFacet a uco-location:SimpleAddressFacet .
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OPTIONAL { ?nSimpleAddressFacet uco-location:addressType ?lAddressType . }
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OPTIONAL { ?nSimpleAddressFacet uco-location:country ?lCountry . }
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OPTIONAL { ?nSimpleAddressFacet uco-location:locality ?lLocality . }
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OPTIONAL { ?nSimpleAddressFacet uco-location:postalCode ?lPostalCode . }
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OPTIONAL { ?nSimpleAddressFacet uco-location:region ?lRegion . }
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OPTIONAL { ?nSimpleAddressFacet uco-location:street ?lStreet . }
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}
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}
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"""
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results = graph.query(query)
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# Define the list of GeoRecords
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records: list[GeoRecord] = []
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# Loop through the results and add them to the list of GeoRecords if the latitude and longitude are present
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for row in results:
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geo_record: GeoRecord = GeoRecord()
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geo_record.Latitude = row.lLatitude
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geo_record.Longitude = row.lLongitude
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geo_record.AddressType = row.lAddressType
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geo_record.Country = row.lCountry
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geo_record.Locality = row.lLocality
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geo_record.PostalCode = row.lPostalCode
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geo_record.Region = row.lRegion
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geo_record.Street = row.lStreet
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records.append(geo_record)
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# Convert the data to a GeoJSON structured object
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geoJSON = records_to_geojson(records)
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# Remove null values from the GeoJSON object
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geoDict: dict = geoJSON.reprJSON()
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geoDict = remove_nulls(geoDict)
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# Write the GeoJSON object to the output file
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with open(output_filename, "w") as output_file:
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output_file.write(json.dumps(geoDict, indent=4))

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