ai.vespa.schemals.lsp.schema.completion.provider.EmptyFileCompletion Maven / Gradle / Ivy
package ai.vespa.schemals.lsp.schema.completion.provider;
import java.util.ArrayList;
import java.util.List;
import org.eclipse.lsp4j.CompletionItem;
import ai.vespa.schemals.common.FileUtils;
import ai.vespa.schemals.parser.ast.NL;
import ai.vespa.schemals.context.EventCompletionContext;
import ai.vespa.schemals.lsp.schema.completion.utils.CompletionUtils;
import ai.vespa.schemals.schemadocument.DocumentManager;
import ai.vespa.schemals.tree.Node;
import ai.vespa.schemals.tree.SchemaNode;
/**
* EmptyFileProvider
*/
public class EmptyFileCompletion implements CompletionProvider {
private boolean match(EventCompletionContext context) {
DocumentManager document = context.document;
if (document.getCurrentContent() == null || document.getCurrentContent().isBlank()) return true;
SchemaNode rootNode = document.getRootNode();
if (rootNode == null) return true;
for (Node child : rootNode) {
if (!child.isASTInstance(NL.class)) return false;
}
return true;
}
@Override
public List getCompletionItems(EventCompletionContext context) {
if (!match(context)) return List.of();
String fileName = FileUtils.schemaNameFromPath(context.document.getFileURI()); // without extension
if (fileName == null) return List.of();
if (context.document.getFileURI().endsWith(".profile")) {
return new ArrayList<>() {{
add(CompletionUtils.constructSnippet("rank-profile", "rank-profile " + fileName + " {\n\t$0\n}"));
}};
} else {
return new ArrayList<>() {{
add(CompletionUtils.constructSnippet("schema", "schema " + fileName + " {\n\tdocument " + fileName + " {\n\t\t$0\n\t}\n}", "simple schema"));
add(CompletionUtils.constructSnippet("document", "document " + fileName + " {\n\t$0\n}"));
// TODO: move to separate file?
add(CompletionUtils.constructSnippet("schema",
"# https://docs.vespa.ai/en/tutorials/news-1-getting-started.html\n"
+ "schema " + fileName + " {\n"
+ "\tdocument " + fileName + " {\n"
+ "\t\tfield title type string {\n\t\t\tindexing: index | summary\n\t\t}\n"
+ "\t\t\n"
+ "\t\tfield date type int {\n\t\t\tindexing: summary | attribute\n\t\t}\n"
+ "\t\t\n"
+ "\t\tfield body type string {\n"
+ "\t\t\tindexing: index | summary\n"
+ "\t\t\tindex: enable-bm25\n"
+ "\t\t}\n"
+ "\t\t$0\n" // cursor position somewhat in the center
+ "\t\t# https://docs.vespa.ai/en/tensor-user-guide.html\n"
+ "\t\tfield embedding type tensor(d0[50]) {\n"
+ "\t\t\tindexing: attribute\n"
+ "\t\t\tattribute {\n"
+ "\t\t\t\tdistance-metric: dotproduct\n"
+ "\t\t\t}\n"
+ "\t\t}\n"
+ "\t}\n"
+ "\t\n"
+ "\tfieldset default {\n"
+ "\t\tfields: title, body\n"
+ "\t}\n"
+ "\t\n"
+ "\trank-profile recommendation inherits default {\n"
+ "\t\tfunction nearest_neighbor() {\n"
+ "\t\t\texpression: closeness(field, embedding)\n"
+ "\t\t}\n"
+ "\t\t\n"
+ "\t\tfirst-phase {\n"
+ "\t\t\texpression: nearest_neighbor\n"
+ "\t\t}\n"
+ "\t\t\n"
+ "\t\tsummary-features {\n"
+ "\t\t\tnearest_neighbor # this can be useful to debug ranking features\n"
+ "\t\t}\n"
+ "\t}\n"
+ "}", "example schema"));
}};
}
}
}
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