dtamind-components
Version:
DTAmindai Components
149 lines • 5.89 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const lodash_1 = require("lodash");
const searchapi_1 = require("@langchain/community/document_loaders/web/searchapi");
const src_1 = require("../../../src");
// Provides access to multiple search engines using the SearchApi.
// For available parameters & engines, refer to: https://www.searchapi.io/docs/google
class SearchAPI_DocumentLoaders {
constructor() {
this.label = 'SearchApi For Web Search';
this.name = 'searchApi';
this.version = 2.0;
this.type = 'Document';
this.icon = 'searchapi.svg';
this.category = 'Document Loaders';
this.description = 'Load data from real-time search results';
this.baseClasses = [this.type];
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
optional: false,
credentialNames: ['searchApi']
};
this.inputs = [
{
label: 'Query',
name: 'query',
type: 'string',
optional: true
},
{
label: 'Custom Parameters',
name: 'customParameters',
type: 'json',
optional: true,
additionalParams: true
},
{
label: 'Text Splitter',
name: 'textSplitter',
type: 'TextSplitter',
optional: true
},
{
label: 'Additional Metadata',
name: 'metadata',
type: 'json',
description: 'Additional metadata to be added to the extracted documents',
optional: true,
additionalParams: true
},
{
label: 'Omit Metadata Keys',
name: 'omitMetadataKeys',
type: 'string',
rows: 4,
description: 'Each document loader comes with a default set of metadata keys that are extracted from the document. You can use this field to omit some of the default metadata keys. The value should be a list of keys, seperated by comma. Use * to omit all metadata keys execept the ones you specify in the Additional Metadata field',
placeholder: 'key1, key2, key3.nestedKey1',
optional: true,
additionalParams: true
}
];
this.outputs = [
{
label: 'Document',
name: 'document',
description: 'Array of document objects containing metadata and pageContent',
baseClasses: [...this.baseClasses, 'json']
},
{
label: 'Text',
name: 'text',
description: 'Concatenated string from pageContent of documents',
baseClasses: ['string', 'json']
}
];
}
async init(nodeData, _, options) {
const textSplitter = nodeData.inputs?.textSplitter;
const query = nodeData.inputs?.query;
const customParameters = nodeData.inputs?.customParameters;
const metadata = nodeData.inputs?.metadata;
const _omitMetadataKeys = nodeData.inputs?.omitMetadataKeys;
const output = nodeData.outputs?.output;
let omitMetadataKeys = [];
if (_omitMetadataKeys) {
omitMetadataKeys = _omitMetadataKeys.split(',').map((key) => key.trim());
}
// Fetch the API credentials for this node
const credentialData = await (0, src_1.getCredentialData)(nodeData.credential ?? '', options);
const searchApiKey = (0, src_1.getCredentialParam)('searchApiKey', credentialData, nodeData);
// Check and parse custom parameters (should be JSON or object)
const parsedParameters = typeof customParameters === 'object' ? customParameters : JSON.parse(customParameters || '{}');
// Prepare the configuration for the SearchApiLoader
const loaderConfig = {
q: query,
apiKey: searchApiKey,
...parsedParameters
};
// Initialize the loader with the given configuration
const loader = new searchapi_1.SearchApiLoader(loaderConfig);
// Fetch documents, split if a text splitter is provided
let docs = [];
if (textSplitter) {
docs = await loader.load();
docs = await textSplitter.splitDocuments(docs);
}
else {
docs = await loader.load();
}
if (metadata) {
const parsedMetadata = typeof metadata === 'object' ? metadata : JSON.parse(metadata);
docs = docs.map((doc) => ({
...doc,
metadata: _omitMetadataKeys === '*'
? {
...parsedMetadata
}
: (0, lodash_1.omit)({
...doc.metadata,
...parsedMetadata
}, omitMetadataKeys)
}));
}
else {
docs = docs.map((doc) => ({
...doc,
metadata: _omitMetadataKeys === '*'
? {}
: (0, lodash_1.omit)({
...doc.metadata
}, omitMetadataKeys)
}));
}
if (output === 'document') {
return docs;
}
else {
let finaltext = '';
for (const doc of docs) {
finaltext += `${doc.pageContent}\n`;
}
return (0, src_1.handleEscapeCharacters)(finaltext, false);
}
}
}
module.exports = { nodeClass: SearchAPI_DocumentLoaders };
//# sourceMappingURL=SearchAPI.js.map