dtamind-components
Version:
Apps integration for Dtamind. Contain Nodes and Credentials.
95 lines • 3.92 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const openai_1 = require("@langchain/openai");
const utils_1 = require("../../../src/utils");
const serverCredentialsExists = !!process.env.AZURE_OPENAI_API_KEY &&
!!process.env.AZURE_OPENAI_API_INSTANCE_NAME &&
(!!process.env.AZURE_OPENAI_API_EMBEDDINGS_DEPLOYMENT_NAME || !!process.env.AZURE_OPENAI_API_DEPLOYMENT_NAME) &&
!!process.env.AZURE_OPENAI_API_VERSION;
class AzureOpenAIEmbedding_Embeddings {
constructor() {
this.label = 'Azure OpenAI Embeddings';
this.name = 'azureOpenAIEmbeddings';
this.version = 2.0;
this.type = 'AzureOpenAIEmbeddings';
this.icon = 'Azure.svg';
this.category = 'Embeddings';
this.description = 'Azure OpenAI API to generate embeddings for a given text';
this.baseClasses = [this.type, ...(0, utils_1.getBaseClasses)(openai_1.AzureOpenAIEmbeddings)];
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['azureOpenAIApi'],
optional: serverCredentialsExists
};
this.inputs = [
{
label: 'Batch Size',
name: 'batchSize',
type: 'number',
default: '100',
optional: true,
additionalParams: true
},
{
label: 'Timeout',
name: 'timeout',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'BasePath',
name: 'basepath',
type: 'string',
optional: true,
additionalParams: true
},
{
label: 'BaseOptions',
name: 'baseOptions',
type: 'json',
optional: true,
additionalParams: true
}
];
}
async init(nodeData, _, options) {
const batchSize = nodeData.inputs?.batchSize;
const timeout = nodeData.inputs?.timeout;
const basePath = nodeData.inputs?.basepath;
const baseOptions = nodeData.inputs?.baseOptions;
const credentialData = await (0, utils_1.getCredentialData)(nodeData.credential ?? '', options);
const azureOpenAIApiKey = (0, utils_1.getCredentialParam)('azureOpenAIApiKey', credentialData, nodeData);
const azureOpenAIApiInstanceName = (0, utils_1.getCredentialParam)('azureOpenAIApiInstanceName', credentialData, nodeData);
const azureOpenAIApiDeploymentName = (0, utils_1.getCredentialParam)('azureOpenAIApiDeploymentName', credentialData, nodeData);
const azureOpenAIApiVersion = (0, utils_1.getCredentialParam)('azureOpenAIApiVersion', credentialData, nodeData);
const obj = {
azureOpenAIApiKey,
azureOpenAIApiInstanceName,
azureOpenAIApiDeploymentName,
azureOpenAIApiVersion,
azureOpenAIBasePath: basePath || undefined
};
if (batchSize)
obj.batchSize = parseInt(batchSize, 10);
if (timeout)
obj.timeout = parseInt(timeout, 10);
if (baseOptions) {
try {
const parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions);
obj.configuration = {
defaultHeaders: parsedBaseOptions
};
}
catch (exception) {
console.error('Error parsing base options', exception);
}
}
const model = new openai_1.AzureOpenAIEmbeddings(obj);
return model;
}
}
module.exports = { nodeClass: AzureOpenAIEmbedding_Embeddings };
//# sourceMappingURL=AzureOpenAIEmbedding.js.map