this.accessType = value;
    }

    public String getClientIp() {
        checkSpecifiedProperty("clientIp");
        return convertEmptyToNull(clientIp);
    }

    public void setClientIp(String value) {
        registerModifiedProperty("clientIp");
        this.clientIp = value;
    }

    public Long getHitCount() {
        checkSpecifiedProperty("hitCount");
        return hitCount;

        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

    public void setClientIp_SpanTerm(String clientIp) {
        setClientIp_SpanTerm("clientIp", null);
    }

    public void setClientIp_SpanTerm(String clientIp, ConditionOptionCall<SpanTermQueryBuilder> opLambda) {
        SpanTermQueryBuilder builder = regSpanTermQ("clientIp", clientIp);

            false, false, "keyword", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnClientIp = cci("clientIp", "clientIp", null, null, String.class, "clientIp", null, false, false,
            false, "keyword", 0, 0, null, null, false, null, null, null, null, null, false);

    public void setClientIp_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda) {
        setClientIp_Terms("clientIp", opLambda, null);
    }

    public void setClientIp_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda, OperatorCall<BsSearchLogCA> aggsLambda) {
        setClientIp_Terms("clientIp", opLambda, aggsLambda);
    }

        return "SearchLog [searchFieldLogList=" + searchFieldLogList + ", headerList=" + headerList + ", userInfo=" + userInfo + ", fields="
                + fields + ", accessType=" + accessType + ", clientIp=" + clientIp + ", hitCount=" + hitCount + ", languages=" + languages
                + ", queryId=" + queryId + ", queryOffset=" + queryOffset + ", queryPageSize=" + queryPageSize + ", queryTime=" + queryTime

            doColumn("_id");
        }

        public void columnAccessType() {
            doColumn("accessType");
        }

        public void columnClientIp() {
            doColumn("clientIp");
        }

        public void columnHitCount() {
            doColumn("hitCount");
        }

        public void columnHitCountRelation() {
            doColumn("hitCountRelation");
        }

        try {
            final RESULT result = entityType.newInstance();
            result.setAccessType(DfTypeUtil.toString(source.get("accessType")));
            result.setClientIp(DfTypeUtil.toString(source.get("clientIp")));
            result.setHitCount(DfTypeUtil.toLong(source.get("hitCount")));
            result.setHitCountRelation(DfTypeUtil.toString(source.get("hitCountRelation")));

$ npm run generate-client

frontend-app@1.0.0 generate-client /home/user/code/frontend-app
> openapi-ts --input http://localhost:8000/openapi.json --output ./src/client --client axios
```

</div>

Esse comando gerará o código em `./src/client` e usará o `axios` (a biblioteca HTTP frontend) internamente.

### Experimente o Código do Cliente

$ npm run generate-client

frontend-app@1.0.0 generate-client /home/user/code/frontend-app
> openapi-ts --input http://localhost:8000/openapi.json --output ./src/client --client axios
```

</div>

Ese comando generará código en `./src/client` y usará `axios` (el paquete HTTP de frontend) internamente.

### Prueba el Código del Cliente

### Generate a TypeScript Client with Tags { #generate-a-typescript-client-with-tags }

If you generate a client for a FastAPI app using tags, it will normally also separate the client code based on the tags.

This way, you will be able to have things ordered and grouped correctly for the client code:

<img src="/img/tutorial/generate-clients/image06.png">

In this case, you have: