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Connect Monday and Pinecone in our serverless environment

Use this template to Fetch items from Monday board using them to upserts vectors into a Pinecone index.

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Fetch items from Monday board

Used integrations:
class GraphqlSourceMondaySelectItems {
async init() {
// TODO: Create your GraphQL credential with monday information and base url: https://api.monday.com/v2/
// More info at https://yepcode.io/docs/integrations/http/#credential-configuration
// Official docs: https://developer.monday.com/api-reference/docs/authentication
this.monday = yepcode.integration.graphql("your-monday-credential-name");
}

async fetch(publish, done) {
const ids = ["<your-board-id>"];
const queryParams = {
rules: [{
column_id: "your-column-id",
compare_value: ["your-filter-criteria"],
}, ],
};
const variables = {
ids,
queryParams
};

try {
const {
boards
} = await this.getBoards(variables);
const page = boards[0].items_page;
page.items.forEach((item) => publish(item));
variables.cursor = page.cursor;
// It's not allowed to send cursor and query_params in the same request
// Subsequent cursor calls will return the elements on the next page with the criteria defined in the initial queryParams.
variables.queryParams = undefined;

while (variables.cursor) {
const {
boards
} = await this.getBoards(variables);
const page = boards[0].items_page;
page.items.forEach((item) => publish(item));
variables.cursor = page.cursor;
}
} catch (error) {
console.log(`Something wrong has happened: ${error.message}`);
}

done();
}

getBoards(variables) {
// TODO: Customize your GraphQL query
// The max page size is 100.
// IMPORTANT: This example uses the api version "2023-10" recommended by Monday. Some fields could change between versions, so check the official docs for more info.
// Official docs: https://developer.monday.com/api-reference/docs/items_page
return this.monday.request(
gql`
query getBoards(
$limit: Int!
$queryParams: ItemsQuery
$ids: [ID!]
$cursor: String
) {
boards(ids: $ids) {
items_page(
limit: $limit
query_params: $queryParams
cursor: $cursor
) {
cursor
items {
id
name
}
}
}
}
`,
variables
);
}

async close() {}
}

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Upserts vectors into a Pinecone index

Used integrations:
class PineconeTargetUpsertVectors {
async init() {
// TODO: Create your pinecone credential
// More info at https://yepcode.io/docs/integrations/pinecone/#credential-configuration
this.pineconeClient = yepcode.integration.pinecone(
"your-pinecone-credential-name"
);
// TODO: Select the index name you want to recover.
// More info at https://docs.pinecone.io/docs/node-client#index
this.index = await this.pineconeClient.Index("your-index-name");
this.vectors = [];
}

async consume(item) {
// TODO: Save vectors you want to upsert into a namespace.
this.vectors.push({
id: item.id,
values: item.values,
metadata: item.metadata,
});
}

async close() {
// TODO: Write vectors into a namespace.
// More info at https://docs.pinecone.io/docs/node-client#indexupsert
await this.index.upsert({
upsertRequest: {
vectors: this.vectors,
namespace: "your-namespace",
},
});
}
}

Other combinations

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