> AI assistant guidance for the Fess Suggest project - a Java library providing intelligent search suggestions built on OpenSearch.

## Project Overview

**Fess Suggest** delivers auto-completion, search suggestions, and popular word analytics with multi-language support.

**Technology Stack:**
- Java 21+, Maven
- OpenSearch (provided dependency)
- Apache Lucene (query parsing, text analysis)
- ICU4J (Unicode text processing)

# Seed value for popular word suggestion.
suggest.popular.word.seed=0
# Tags for popular word suggestion.
suggest.popular.word.tags=
# Fields for popular word suggestion.
suggest.popular.word.fields=
# Excluded words for popular word suggestion.
suggest.popular.word.excludes=
# Number of popular words to suggest.
suggest.popular.word.size=10
# Window size for popular word suggestion.

     */
    public static CrawlingInfoHelper getCrawlingInfoHelper() {
        return getComponent(CRAWLING_INFO_HELPER);
    }

    /**
     * Gets the popular word helper component.
     * @return The popular word helper.
     */
    public static PopularWordHelper getPopularWordHelper() {
        return getComponent(POPULAR_WORD_HELPER);
    }

    /**

However, this would limit the ability of the Gradle ecosystem plugin authors to take advantage of new Java features and improvements.

One example is when one of the most popular plugins started requiring Java 17 because the underlying framework behind the plugin began requiring 17, and code from the framework was used in the plugin itself.
What would have happened if Gradle was limited to _only Java 11_ at the time?

## Design { #design }

Then I spent some time designing the developer "API" I wanted to have as a user (as a developer using FastAPI).

I tested several ideas in the most popular Python editors: PyCharm, VS Code, Jedi based editors.

By the last [Python Developer Survey](https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools), that covers about 80% of the users.

## Previous tools { #previous-tools }

### [Django](https://www.djangoproject.com/) { #django }

It's the most popular Python framework and is widely trusted. It is used to build systems like Instagram.

labels.failureCountThreshold=Failure Count
labels.fileConfigName=File Crawl Config Name
labels.fileName=File Name
labels.handlerName=Handler Name
labels.handlerParameter=Parameter
labels.handlerScript=Script
labels.popularWord=Popular Word
labels.ignoreFailureType=Ignored Failure Type
labels.lastAccessTime=Last Access Time
labels.notificationTo=Notification To
labels.num=Num
labels.pn=Page Number
labels.protocolScheme=Scheme

labels.failureCountThreshold=Failure Count
labels.fileConfigName=File Crawl Config Name
labels.fileName=File Name
labels.handlerName=Handler Name
labels.handlerParameter=Parameter
labels.handlerScript=Script
labels.popularWord=Popular Word
labels.ignoreFailureType=Ignored Failure Type
labels.lastAccessTime=Last Access Time
labels.notificationTo=Notification To
labels.num=Num
labels.pn=Page Number
labels.protocolScheme=Scheme

                return FormatType.SCROLL;
            }
            return FormatType.SEARCH;
        }
        if ("labels".equals(type)) {
            return FormatType.LABEL;
        }
        if ("popular-words".equals(type)) {
            return FormatType.POPULARWORD;
        }
        if ("favorites".equals(type)) {
            return FormatType.FAVORITES;
        }
        if ("health".equals(type)) {

    /** The key of the configuration. e.g. 10 */
    String SUGGEST_POPULAR_WORD_SIZE = "suggest.popular.word.size";

    /** The key of the configuration. e.g. 30 */
    String SUGGEST_POPULAR_WORD_WINDOW_SIZE = "suggest.popular.word.window.size";

    /** The key of the configuration. e.g. 10 */
    String SUGGEST_POPULAR_WORD_QUERY_FREQ = "suggest.popular.word.query.freq";