Stephan Heunis
ca7af32894
This is an interim solution in the form of shell scripts to fetch datalad-concepts exports (shacl, owl) and to convert example data to rdf, to allow using all of those as the default files for a shacl-vue deployment. The ideal is to rather create a single base schema in yaml, similar to the standard that we have followed in other use cases e.g. trr379, inm7, etc, and to update the make files that generate the schemas and data from there.
40 lines
1.1 KiB
Bash
Executable file
40 lines
1.1 KiB
Bash
Executable file
#!/bin/zsh
|
|
|
|
# Check for input arguments
|
|
if [ $# -ne 2 ]; then
|
|
echo "Usage: $0 <source_directory> <output_file>"
|
|
exit 1
|
|
fi
|
|
|
|
SOURCE_DIR="$1"
|
|
OUTPUT_FILE="$2"
|
|
|
|
# Temporary files
|
|
TMP_ALL_CONTENT=$(mktemp)
|
|
TMP_PREFIXES=$(mktemp)
|
|
TMP_REST=$(mktemp)
|
|
|
|
# Process each .rdf file (excluding .rdf.tmp)
|
|
find "$SOURCE_DIR" -type f -name '*.rdf' ! -name '*.rdf.tmp' | while read -r FILE; do
|
|
if grep -q 'PRINTING N3 GRAPH' "$FILE"; then
|
|
# This deals with files with errors in them; still outputs duplicate statements though; TODO
|
|
awk '/PRINTING N3 GRAPH/ {found=1; next} found' "$FILE" >> "$TMP_ALL_CONTENT"
|
|
else
|
|
# If no error, just concatenate entire file
|
|
cat "$FILE" >> "$TMP_ALL_CONTENT"
|
|
fi
|
|
done
|
|
|
|
# Extract unique @prefix lines
|
|
grep '^@prefix' "$TMP_ALL_CONTENT" | sort | uniq > "$TMP_PREFIXES"
|
|
|
|
# Extract all other lines
|
|
grep -v '^@prefix' "$TMP_ALL_CONTENT" > "$TMP_REST"
|
|
|
|
# Combine and write to output
|
|
cat "$TMP_PREFIXES" "$TMP_REST" > "$OUTPUT_FILE"
|
|
|
|
# Clean up
|
|
rm "$TMP_ALL_CONTENT" "$TMP_PREFIXES" "$TMP_REST"
|
|
|
|
echo "Processed RDF content written to: $OUTPUT_FILE"
|