[ES|QL] Update function metadata (#189857)

This PR updates the function definitions and inline docs based on the
latest metadata from Elasticsearch.

---------

Co-authored-by: Quynh Nguyen <quynh.nguyen@elastic.co>

packages/kbn-esql-validation-autocomplete/scripts/generate_function_definitions.ts

@@ -61,7 +61,7 @@ const validateLogFunctions = `(fnDef: ESQLFunction) => {
   // do not really care here about the base and field
   // just need to check both values are not negative
   for (const arg of fnDef.args) {
-    if (isLiteralItem(arg) && arg.value < 0) {
+    if (isLiteralItem(arg) && Number(arg.value) < 0) {
       messages.push({
         type: 'warning' as const,
         code: 'logOfNegativeValue',
@@ -213,12 +213,14 @@ const functionEnrichments: Record<string, RecursivePartial<FunctionDefinition>>
     ],
   },
   mv_sort: {
-    signatures: new Array(6).fill({
+    signatures: new Array(9).fill({
       params: [{}, { literalOptions: ['asc', 'desc'] }],
     }),
   },
 };
 
+const convertDateTime = (s: string) => (s === 'datetime' ? 'date' : s);
+
 /**
  * Builds a function definition object from a row of the "meta functions" table
  * @param {Array<any>} value — the row of the "meta functions" table, corresponding to a single function definition
@@ -239,10 +241,10 @@ function getFunctionDefinition(ESFunctionDefinition: Record<string, any>): Funct
         ...signature,
         params: signature.params.map((param: any) => ({
           ...param,
-          type: param.type,
+          type: convertDateTime(param.type),
           description: undefined,
         })),
-        returnType: signature.returnType,
+        returnType: convertDateTime(signature.returnType),
         variadic: undefined, // we don't support variadic property
         minParams: signature.variadic
           ? signature.params.filter((param: any) => !param.optional).length

packages/kbn-esql-validation-autocomplete/src/definitions/functions.ts

@@ -1559,6 +1559,36 @@ const endsWithDefinition: FunctionDefinition = {
       ],
       returnType: 'boolean',
     },
+    {
+      params: [
+        {
+          name: 'str',
+          type: 'keyword',
+          optional: false,
+        },
+        {
+          name: 'suffix',
+          type: 'text',
+          optional: false,
+        },
+      ],
+      returnType: 'boolean',
+    },
+    {
+      params: [
+        {
+          name: 'str',
+          type: 'text',
+          optional: false,
+        },
+        {
+          name: 'suffix',
+          type: 'keyword',
+          optional: false,
+        },
+      ],
+      returnType: 'boolean',
+    },
     {
       params: [
         {
@@ -4115,6 +4145,43 @@ const mvMinDefinition: FunctionDefinition = {
   ],
 };
 
+// Do not edit this manually... generated by scripts/generate_function_definitions.ts
+const mvPseriesWeightedSumDefinition: FunctionDefinition = {
+  type: 'eval',
+  name: 'mv_pseries_weighted_sum',
+  description: i18n.translate(
+    'kbn-esql-validation-autocomplete.esql.definitions.mv_pseries_weighted_sum',
+    {
+      defaultMessage:
+        'Converts a multivalued expression into a single-valued column by multiplying every element on the input list by its corresponding term in P-Series and computing the sum.',
+    }
+  ),
+  alias: undefined,
+  signatures: [
+    {
+      params: [
+        {
+          name: 'number',
+          type: 'double',
+          optional: false,
+        },
+        {
+          name: 'p',
+          type: 'double',
+          optional: false,
+        },
+      ],
+      returnType: 'double',
+    },
+  ],
+  supportedCommands: ['stats', 'metrics', 'eval', 'where', 'row', 'sort'],
+  supportedOptions: ['by'],
+  validate: undefined,
+  examples: [
+    'ROW a = [70.0, 45.0, 21.0, 21.0, 21.0]\n| EVAL sum = MV_PSERIES_WEIGHTED_SUM(a, 1.5)\n| KEEP sum',
+  ],
+};
+
 // Do not edit this manually... generated by scripts/generate_function_definitions.ts
 const mvSliceDefinition: FunctionDefinition = {
   type: 'eval',
@@ -6575,6 +6642,36 @@ const startsWithDefinition: FunctionDefinition = {
       ],
       returnType: 'boolean',
     },
+    {
+      params: [
+        {
+          name: 'str',
+          type: 'keyword',
+          optional: false,
+        },
+        {
+          name: 'prefix',
+          type: 'text',
+          optional: false,
+        },
+      ],
+      returnType: 'boolean',
+    },
+    {
+      params: [
+        {
+          name: 'str',
+          type: 'text',
+          optional: false,
+        },
+        {
+          name: 'prefix',
+          type: 'keyword',
+          optional: false,
+        },
+      ],
+      returnType: 'boolean',
+    },
     {
       params: [
         {
@@ -8226,6 +8323,7 @@ export const evalFunctionDefinitions = [
   mvMaxDefinition,
   mvMedianDefinition,
   mvMinDefinition,
+  mvPseriesWeightedSumDefinition,
   mvSliceDefinition,
   mvSortDefinition,
   mvSumDefinition,

packages/kbn-text-based-editor/src/esql_documentation_sections.tsx

@@ -2176,6 +2176,40 @@ export const functions = {
   ROW a=[2, 1]
   | EVAL min_a = MV_MIN(a)
   \`\`\`
+  `,
+              description:
+                'Text is in markdown. Do not translate function names, special characters, or field names like sum(bytes)',
+              ignoreTag: true,
+            }
+          )}
+        />
+      ),
+    },
+    // Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
+    {
+      label: i18n.translate(
+        'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_pseries_weighted_sum',
+        {
+          defaultMessage: 'MV_PSERIES_WEIGHTED_SUM',
+        }
+      ),
+      description: (
+        <Markdown
+          markdownContent={i18n.translate(
+            'textBasedEditor.query.textBasedLanguagesEditor.documentationESQL.mv_pseries_weighted_sum.markdown',
+            {
+              defaultMessage: `<!--
+  This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.
+  -->
+
+  ### MV_PSERIES_WEIGHTED_SUM
+  Converts a multivalued expression into a single-valued column by multiplying every element on the input list by its corresponding term in P-Series and computing the sum.
+
+  \`\`\`
+  ROW a = [70.0, 45.0, 21.0, 21.0, 21.0]
+  | EVAL sum = MV_PSERIES_WEIGHTED_SUM(a, 1.5)
+  | KEEP sum
+  \`\`\`
   `,
               description:
                 'Text is in markdown. Do not translate function names, special characters, or field names like sum(bytes)',