33 lines
1002 B
Bash
Executable File
33 lines
1002 B
Bash
Executable File
#!/bin/bash
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# The first pass of this was LLM generated for expediency
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# scan the src directory for *.newt files
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# match lines like `import Foo.Bar.Baz`
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# use graphviz to create a dependency graph in a pdf file
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SRC_DIR="/Users/dunham/prj/newt/src"
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OUTPUT_FILE="/Users/dunham/prj/newt/dependency_graph.pdf"
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TEMP_FILE=$(mktemp)
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trap 'rm -f "$TEMP_FILE"' EXIT
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echo "digraph dependencies {" > "$TEMP_FILE"
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# GPT4 did the first version of this, I wasn't familiar with "read"
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find "$SRC_DIR" -name "*.newt" | while read -r file; do
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grep -Eo '^import [A-Za-z0-9.]+' "$file" | egrep -v 'Prelude|Data' | while read -r line; do
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module=$(echo "$file" | sed "s|$SRC_DIR/||; s|/|.|g; s|.newt$||")
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imported_module=$(echo "$line" | awk '{print $2}')
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echo " \"$module\" -> \"$imported_module\";" >> "$TEMP_FILE"
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done
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done
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# End the graphviz dot file
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echo "}" >> "$TEMP_FILE"
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# Generate the PDF using dot
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dot -Tpdf "$TEMP_FILE" -o "$OUTPUT_FILE"
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echo "Dependency graph created at $OUTPUT_FILE"
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