Files
windmill/typescript-client/sqlUtils.ts
Diego Imbert fda68a72e5 feat: Support .ducklake() and .datatable() in agent workers (#8697)
* Update clients to check for agent workers

* fixes

* typescript uses 127.0.0.1

* Refresh system prompts

* fix: check both localhost and 127.0.0.1 in workerHasInternalServer detection

Both Python and TypeScript clients now check for both hostnames to avoid
silent breakage if BASE_INTERNAL_URL uses one or the other. Also adds
return type annotation to the Python method.

Co-authored-by: Diego Imbert <diegoimbert@users.noreply.github.com>

* refresh system prompts

* nit localhost regex boundary

* fix: use provider.language instead of undefined bare language in sqlUtils

The language variable was referenced as a bare identifier in the fetch
calls, resolving to undefined at runtime instead of reading from
provider.language.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: Diego Imbert <diegoimbert@users.noreply.github.com>
Co-authored-by: Ruben Fiszel <ruben@windmill.dev>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-03 22:34:34 +00:00

391 lines
12 KiB
TypeScript

import { getWorkspace, workerHasInternalServer } from "./client";
import { JobService } from "./services.gen";
type ResultCollection =
| "last_statement_all_rows"
| "last_statement_first_row"
| "last_statement_all_rows_scalar"
| "last_statement_first_row_scalar"
| "all_statements_all_rows"
| "all_statements_first_row"
| "all_statements_all_rows_scalar"
| "all_statements_first_row_scalar"
| "legacy";
type FetchParams<ResultCollectionT extends ResultCollection> = {
resultCollection?: ResultCollectionT;
};
type SqlResult<
T,
ResultCollectionT extends ResultCollection
> = ResultCollectionT extends "last_statement_first_row"
? T | null
: ResultCollectionT extends "all_statements_first_row"
? T[]
: ResultCollectionT extends "last_statement_all_rows"
? T[]
: ResultCollectionT extends "all_statements_all_rows"
? T[][]
: ResultCollectionT extends "last_statement_all_rows_scalar"
? T[keyof T][]
: ResultCollectionT extends "all_statements_all_rows_scalar"
? T[keyof T][][]
: ResultCollectionT extends "last_statement_first_row_scalar"
? T[keyof T] | null
: ResultCollectionT extends "all_statements_first_row_scalar"
? T[keyof T][]
: unknown;
/**
* SQL statement object with query content, arguments, and execution methods
*/
export type SqlStatement<T> = {
/** Raw SQL content with formatted arguments */
content: string;
/** Argument values keyed by parameter name */
args: Record<string, any>;
/**
* Execute the SQL query and return results
* @param params - Optional parameters including result collection mode
* @returns Query results based on the result collection mode
*/
fetch<ResultCollectionT extends ResultCollection = "last_statement_all_rows">(
params?: FetchParams<ResultCollectionT | ResultCollection> // The union is for auto-completion
): Promise<SqlResult<T, ResultCollectionT>>;
/**
* Execute the SQL query and return only the first row
* @param params - Optional parameters
* @returns First row of the query result
*/
fetchOne(
params?: Omit<FetchParams<"last_statement_first_row">, "resultCollection">
): Promise<SqlResult<T, "last_statement_first_row">>;
/**
* Execute the SQL query and return only the first row as a scalar value
* @param params - Optional parameters
* @returns First row of the query result
*/
fetchOneScalar(
params?: Omit<
FetchParams<"last_statement_first_row_scalar">,
"resultCollection"
>
): Promise<SqlResult<T, "last_statement_first_row_scalar">>;
/**
* Execute the SQL query without fetching rows
* @param params - Optional parameters
*/
execute(
params?: Omit<FetchParams<"last_statement_first_row">, "resultCollection">
): Promise<void>;
};
/**
* Wrapper for raw SQL fragments that should be inlined without parameterization.
* Created via `sql.raw(value)`.
*/
export class RawSql {
readonly __brand = "RawSql" as const;
constructor(public readonly value: string) { }
}
/**
* Template tag function for creating SQL statements with parameterized values
*/
export interface SqlTemplateFunction {
<T = any>(strings: TemplateStringsArray, ...values: any[]): SqlStatement<T>;
/** Create a raw SQL fragment that will be inlined without parameterization */
raw(value: string): RawSql;
}
export interface DatatableSqlTemplateFunction extends SqlTemplateFunction {
query<T = any>(sql: string, ...params: any[]): SqlStatement<T>;
}
// ---------------------------------------------------------------------------
// Provider interface — captures what differs between datatable and ducklake
// ---------------------------------------------------------------------------
interface SqlProvider {
formatArgDecl(argNum: number, argType: string): string;
formatArgUsage(
argNum: number,
explicitType: string | undefined,
inferredType: string
): string;
preamble(): string;
language: "postgresql" | "duckdb";
extraArgs: Record<string, any>;
providerName: string;
}
function datatableProvider(name: string, schema?: string): SqlProvider {
return {
providerName: "datatable",
language: "postgresql",
extraArgs: { database: `datatable://${name}` },
formatArgDecl: (argNum) => `-- $${argNum} arg${argNum}`,
formatArgUsage: (argNum, explicitType, inferredType) =>
explicitType !== undefined
? `$${argNum}`
: `$${argNum}::${inferredType}`,
preamble: () => (schema ? `SET search_path TO "${schema}";\n` : ""),
};
}
function ducklakeProvider(name: string): SqlProvider {
return {
providerName: "ducklake",
language: "duckdb",
extraArgs: {},
formatArgDecl: (argNum, argType) => `-- $arg${argNum} (${argType})`,
formatArgUsage: (argNum) => `$arg${argNum}`,
preamble: () => `ATTACH 'ducklake://${name}' AS dl;USE dl;\n`,
};
}
// ---------------------------------------------------------------------------
// Shared template function builder
// ---------------------------------------------------------------------------
function buildSqlTemplateFunction(provider: SqlProvider): SqlTemplateFunction {
let sqlFn = ((strings: TemplateStringsArray, ...values: any[]) => {
// Separate raw vs parameterized values, assigning arg indices only to params
let argIndex = 0;
const valueInfos = values.map((v, i) => {
if (v instanceof RawSql)
return { raw: true as const, value: v.value, originalIndex: i };
argIndex++;
return {
raw: false as const,
value: v,
originalIndex: i,
argNum: argIndex,
};
});
// Arg declarations (SQL comments consumed by the executor)
let argDecls = valueInfos
.filter((info): info is Extract<(typeof valueInfos)[number], { raw: false }> => !info.raw)
.map((info) => {
let argType =
parseTypeAnnotation(
strings[info.originalIndex],
strings[info.originalIndex + 1]
) || inferSqlType(info.value);
return provider.formatArgDecl(info.argNum, argType);
});
let content = argDecls.length ? argDecls.join("\n") + "\n" : "";
content += provider.preamble();
// SQL body — inline raw values, reference params via provider syntax
let contentBody = "";
for (let i = 0; i < strings.length; i++) {
contentBody += strings[i];
if (i < valueInfos.length) {
let info = valueInfos[i];
if (info.raw) {
contentBody += info.value;
} else {
let explicitType = parseTypeAnnotation(
strings[info.originalIndex],
strings[info.originalIndex + 1]
);
let inferredType = inferSqlType(info.value);
contentBody += provider.formatArgUsage(
info.argNum,
explicitType,
inferredType
);
}
}
}
content += contentBody;
const args = {
...Object.fromEntries(
valueInfos
.filter((info): info is Extract<(typeof valueInfos)[number], { raw: false }> => !info.raw)
.map((info) => [`arg${info.argNum}`, info.value])
),
...provider.extraArgs,
};
async function fetch<ResultCollectionT extends ResultCollection>({
resultCollection,
}: FetchParams<ResultCollectionT> = {}) {
if (resultCollection)
content = `-- result_collection=${resultCollection}\n${content}`;
try {
let result;
if (workerHasInternalServer()) {
result = await JobService.runScriptPreviewInline({
workspace: getWorkspace(),
requestBody: { args, content, language: provider.language },
});
} else {
result = await JobService.runScriptPreviewAndWaitResult({
workspace: getWorkspace(),
requestBody: { args, content, language: provider.language },
});
}
return result as SqlResult<any, ResultCollectionT>;
} catch (e: any) {
let err = e;
if (
e &&
typeof e.body == "string" &&
e.statusText == "Internal Server Error"
) {
let body = e.body;
if (body.startsWith("Internal:")) body = body.slice(9).trim();
if (body.startsWith("Error:")) body = body.slice(6).trim();
if (body.startsWith("datatable")) body = body.slice(9).trim();
err = Error(`${provider.providerName} ${body}`);
err.query = contentBody;
err.request = e.request;
}
throw err;
}
}
return {
content,
args,
fetch,
fetchOne: (params) =>
fetch({ ...params, resultCollection: "last_statement_first_row" }),
fetchOneScalar: (params) =>
fetch({
...params,
resultCollection: "last_statement_first_row_scalar",
}),
execute: (params) => fetch(params),
} satisfies SqlStatement<any>;
}) as SqlTemplateFunction;
sqlFn.raw = (value: string) => new RawSql(value);
return sqlFn;
}
// ---------------------------------------------------------------------------
// Public API
// ---------------------------------------------------------------------------
/**
* Create a SQL template function for PostgreSQL/datatable queries
* @param name - Database/datatable name (default: "main")
* @returns SQL template function for building parameterized queries
* @example
* let sql = wmill.datatable()
* let name = 'Robin'
* let age = 21
* await sql`
* SELECT * FROM friends
* WHERE name = ${name} AND age = ${age}::int
* `.fetch()
*/
export function datatable(name: string = "main"): DatatableSqlTemplateFunction {
let { name: n, schema } = parseName(name);
let sqlFn = buildSqlTemplateFunction(
datatableProvider(n, schema)
) as DatatableSqlTemplateFunction;
sqlFn.query = (sqlString: string, ...params: any[]) => {
let arr = Object.assign([sqlString], { raw: [sqlString] });
return sqlFn(arr, ...params);
};
return sqlFn;
}
/**
* Create a SQL template function for DuckDB/ducklake queries
* @param name - DuckDB database name (default: "main")
* @returns SQL template function for building parameterized queries
* @example
* let sql = wmill.ducklake()
* let name = 'Robin'
* let age = 21
* await sql`
* SELECT * FROM friends
* WHERE name = ${name} AND age = ${age}
* `.fetch()
*/
export function ducklake(name: string = "main"): SqlTemplateFunction {
return buildSqlTemplateFunction(ducklakeProvider(name));
}
// ---------------------------------------------------------------------------
// Utilities
// ---------------------------------------------------------------------------
// DuckDB executor requires explicit argument types at declaration
// And postgres at argument usage.
// These types exist in both DuckDB and Postgres
// Check that the types exist if you plan to extend this function for other SQL engines.
function inferSqlType(value: any): string {
if (typeof value === "number" || typeof value === "bigint") {
if (Number.isInteger(value)) return "BIGINT";
return "DOUBLE PRECISION";
} else if (value === null || value === undefined) {
return "TEXT";
} else if (typeof value === "string") {
return "TEXT";
} else if (typeof value === "object") {
return "JSON";
} else if (typeof value === "boolean") {
return "BOOLEAN";
} else {
return "TEXT";
}
}
// The goal is to detect if the user added a type annotation manually
//
// untyped : sql`SELECT ${x} = 0` => ['SELECT ', ' = 0']
// typed : sql`SELECT ${x}::int = 0` => ['SELECT ', '::int = 0']
// typed : sql`SELECT CAST ( ${x} AS int ) = 0` => ['SELECT CAST ( ', ' AS int ) = 0']
function parseTypeAnnotation(
prevTemplateString: string | undefined,
nextTemplateString: string | undefined
): string | undefined {
if (!nextTemplateString) return;
nextTemplateString = nextTemplateString.trimStart();
if (nextTemplateString.startsWith("::")) {
return nextTemplateString.substring(2).trimStart().split(/\s+/)[0];
}
prevTemplateString = prevTemplateString?.trimEnd();
if (
prevTemplateString?.endsWith("(") &&
prevTemplateString
.substring(0, prevTemplateString.length - 1)
.trim()
.toUpperCase()
.endsWith("CAST") &&
nextTemplateString.toUpperCase().startsWith("AS ")
) {
return nextTemplateString.substring(2).trimStart().split(/\s+/)[0];
}
}
function parseName(name: string | undefined): {
name: string;
schema?: string;
} {
if (!name) return { name: "main" };
let [assetName, schemaName] = name.split(":");
if (schemaName) {
return {
name: assetName || "main",
schema: schemaName,
};
} else {
return { name };
}
}