insomnia/packages/insomnia-app/app/network/grpc/proto-loader.js
2020-11-10 13:30:27 +13:00

45 lines
1.7 KiB
JavaScript

// @flow
import type { GrpcMethodDefinition } from './method';
import * as protoLoader from '@grpc/proto-loader';
import * as models from '../../models';
import writeProtoFile from './write-proto-file';
const GRPC_LOADER_OPTIONS = {
keepCase: true,
longs: String,
enums: String,
defaults: true,
oneofs: true,
};
const isTypeOrEnumDefinition = (obj: Object) => 'format' in obj; // same check exists internally in the grpc library
const isServiceDefinition = (obj: Object) => !isTypeOrEnumDefinition(obj);
// TODO: instead of writing to a temp file and loading the protoFile every time methods are required,
// add an in-memory caching strategy, indexed by the protoFile._id - INS-272
// TODO: The file path for protoLoader.load can also be a URL, so we can avoid
// writing to a file in those cases, but it becomes more important to cache
// We also need to think about how to store a reference to a proto file and it's
// implications on import/export/sync - INS-271
export const loadMethods = async (protoFile: ProtoFile): Promise<Array<GrpcMethodDefinition>> => {
const tempProtoFile = await writeProtoFile(protoFile.protoText);
const definition = await protoLoader.load(tempProtoFile, GRPC_LOADER_OPTIONS);
return Object.values(definition)
.filter(isServiceDefinition)
.flatMap(Object.values);
};
// TODO: instead of reloading the methods from the protoFile,
// just get it from what has already been loaded in the react component,
// or from the cache
export const getSelectedMethod = async (request: GrpcRequest): GrpcMethodDefinition | undefined => {
const protoFile = await models.protoFile.getById(request.protoFileId);
const methods = await loadMethods(protoFile);
return methods.find(c => c.path === request.protoMethodName);
};