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The following commit(s) were added to refs/heads/master by this push:
new c0f0507 WIP Javadoc.
c0f0507 is described below
commit c0f0507aea4e1acedc9bc109b07cb5562885c3e0
Author: Aaron Radzinski <aradzin...@datalingvo.com>
AuthorDate: Thu Mar 24 19:29:50 2022 -0700
WIP Javadoc.
---
.../examples/lightswitch/LightSwitchJavaModel.java | 2 +-
.../main/scala/org/apache/nlpcraft/NCModel.java | 86 +++++++++++++++++++---
2 files changed, 76 insertions(+), 12 deletions(-)
diff --git
a/nlpcraft-examples/lightswitch/src/main/java/org/apache/nlpcraft/examples/lightswitch/LightSwitchJavaModel.java
b/nlpcraft-examples/lightswitch/src/main/java/org/apache/nlpcraft/examples/lightswitch/LightSwitchJavaModel.java
index b8c4a8f..a13b6d6 100644
---
a/nlpcraft-examples/lightswitch/src/main/java/org/apache/nlpcraft/examples/lightswitch/LightSwitchJavaModel.java
+++
b/nlpcraft-examples/lightswitch/src/main/java/org/apache/nlpcraft/examples/lightswitch/LightSwitchJavaModel.java
@@ -32,7 +32,7 @@ import java.util.stream.Collectors;
* You can easily modify intent callbacks to perform the actual light
switching using
* HomeKit or Arduino-based controllers.
* <p>
- * See 'README.md' file in the same folder for running and testing
instructions.
+ * See 'README.md' file in the same folder for running and testing
instructions.
*/
public class LightSwitchJavaModel extends NCModelAdapter {
public LightSwitchJavaModel() {
diff --git a/nlpcraft/src/main/scala/org/apache/nlpcraft/NCModel.java
b/nlpcraft/src/main/scala/org/apache/nlpcraft/NCModel.java
index 43404fc..311d05b 100644
--- a/nlpcraft/src/main/scala/org/apache/nlpcraft/NCModel.java
+++ b/nlpcraft/src/main/scala/org/apache/nlpcraft/NCModel.java
@@ -18,35 +18,99 @@
package org.apache.nlpcraft;
/**
+ * User data model
+ * <p>
+ * Data model is a holder for user-define NLP processing logic that provides
an interface to your data sources like a
+ * database or a SaaS application. NLPCraft employs model-as-a-code approach
where entire data model is an
+ * implementation of this interface which can be developed using any JVM
programming language like Java, Scala,
+ * Kotlin, or Groovy. The instance of this interface is passed to {@link
NCModelClient} class and contains:
+ * <ul>
+ * <li>Model {@link #getConfig() configurfation}.</li>
+ * <li>Model {@link #getPipeline() processing pipeline}.</li>
+ * <li>Life-cycle callbacks.</li>
+ * </ul>
+ * Note that model-as-a-code approach natively supports any software life
cycle tools and frameworks like various
+ * build tools, CI/SCM tools, IDEs, etc. You don't need an additional
web-based tools to manage
+ * some aspects of your data models - your entire model and all of its
components are part of your project's source code.
+ * <p>
+ * In most cases, one would use a convenient {@link NCModelAdapter} adapter to
implement this interface. Here's a snippet
+ * of the user data model from Lighswitch example:
+ * <pre class="brush: java, highlight: [1]">
+ * public class LightSwitchJavaModel extends NCModelAdapter {
+ * public LightSwitchJavaModel() {
+ * super(
+ * new NCModelConfig("nlpcraft.lightswitch.java.ex", "LightSwitch
Example Model", "1.0"),
+ * new NCPipelineBuilder().withSemantic("en",
"lightswitch_model.yaml").build()
+ * );
+ * }
*
+ * @NCIntent("intent=ls term(act)={has(ent_groups, 'act')}
term(loc)={# == 'ls:loc'}*")
+ * NCResult onMatch(
+ * @NCIntentTerm("act") NCEntity actEnt,
+ * @NCIntentTerm("loc") List<NCEntity> locEnts
+ * ) {
+ * String status=actEnt.getId().equals("ls:on")?"on":"off";
+ * String locations=locEnts.isEmpty() ? "entire house":
+ *
locEnts.stream().map(NCEntity::mkText).collect(Collectors.joining(", "));
+ *
+ * return new NCResult(
+ * "Lights are [" + status + "] in [" + locations.toLowerCase() +
"].",
+ * NCResultType.ASK_RESULT
+ * );
+ * }
+ * }
+ * </pre>
+ *
+ * @see NCModelClient
+ * @see NCModelAdapter
*/
public interface NCModel {
/**
+ * Gets model configuration.
*
- * @return
+ * @return Model configuraiton.
*/
NCModelConfig getConfig();
/**
+ * Gets model NLP processing pipeline.
*
- * @return
+ * @return NLP processing pipeline.
*/
NCPipeline getPipeline();
/**
+ * A callback to accept or reject a parsed variant. This callback is
called before any other callbacks at the
+ * beginning of the processing pipeline and it is called for each parsed
variant.
+ * <p>
+ * Note that a given input query can have one or more possible different
parsing variants. Depending on model
+ * configuration an input query can produce hundreds or even thousands of
parsing variants that can significantly
+ * slow down the overall processing. This method allows to filter out
unnecessary parsing variants based on
+ * variety of user-defined factors like number of entities, presence of a
particular entnity in the variant, etc.
+ * <p>
+ * By default, this method accepts all variants (returns {@code true}).
*
- * @param vrn
- * @return
+ * @param vrn A parsing variant to accept or reject.
+ * @return {@code True} to accept variant for further processing, {@code
false} otherwise.
*/
default boolean onVariant(NCVariant vrn) {
return true;
}
/**
+ * A callback that is called when a fully assembled query context is
ready. This callback is called after
+ * all {@link #onVariant(NCVariant)} callbacks are called but before any
{@link #onMatchedIntent(NCIntentMatch)} are
+ * called, i.e. right before the intent matching is performed. It's called
always once per input query processing.
+ * Typical use case for this callback is to perform logging, debugging,
statistic or usage collection, explicit
+ * update or initialization of conversation context, security audit or
validation, etc.
+ * <p>
+ * Default implementation returns {@code null}.
*
- * @param ctx
- * @return
- * @throws NCRejection
+ * @param ctx Input query context.
+ * @return Optional query result to return interrupting the default
workflow. Specifically, if this method
+ * returns a non-{@code null} result, it will be returned to the
caller immediately overriding default behavior.
+ * If the method returns {@code null} - the default processing flow
will continue.
+ * @throws NCRejection This callback can throw the rejection exception to
abort input query processing.
*/
default NCResult onContext(NCContext ctx) throws NCRejection {
return null;
@@ -54,7 +118,7 @@ public interface NCModel {
/**
*
- * @param ctx
+ * @param ctx Input query context.
* @return
* @throws NCRejection
*/
@@ -64,7 +128,7 @@ public interface NCModel {
/**
*
- * @param ctx
+ * @param ctx Input query context.
* @param res
* @return
*/
@@ -74,7 +138,7 @@ public interface NCModel {
/**
*
- * @param ctx
+ * @param ctx Input query context.
* @param e
* @return
*/
@@ -84,7 +148,7 @@ public interface NCModel {
/**
*
- * @param ctx
+ * @param ctx Input query context.
* @param e
* @return
*/
