Edits history of script submission #343 for ' Create Index (pinecone)'

• deno

  Ap­pro­ved version

  Edit in Windmill

  Embed

  import { removeObjectEmptyFields } from "https://deno.land/x/windmill_helpers@v1.1.1/mod.ts";
  import { PineconeClient } from "npm:@pinecone-database/pinecone";
  
  /**
   * @param name The name of the index to be created. The maximum length is 45 characters.
   *
   * @param dimension The dimensions of the vectors to be inserted in the index.
   *
   * @param metric _(Optional)_ The distance metric to be used for similarity search.
   *
   * @param pods _(Optional)_ The number of pods for the index to use, including replicas.
   *
   * @param replicas _(Optional)_ The number of replicas.
   *
   * @param pod_type _(Optional)_ The pod type for the index.
   * `s1`: Best storage capacity.
   * `p1`: Faster queries.
   * `p2`: Lowest latency and highest throughput.
   *
   * @param pod_size _(Optional)_ The size of the pod. You can increase (but not decrease) the pod size on running indexes.
   * If `pod_type` is not set, this will be ignored.
   *
   * @param metadata_config _(Optional)_ Configuration for the behavior of Pinecone's internal metadata index.
   * By default, all metadata is indexed; when `metadata_config` is present, only specified metadata fields are indexed.
   *
   * @param source_collection _(Optional)_ The name of the collection to create an index from.
   */
  type Pinecone = {
    apiKey: string;
    environment: string;
  };
  export async function main(
    auth: Pinecone,
    name: string,
    dimension: number,
    metric?: "" | "euclidean" | "cosine" | "dotproduct",
    pods?: number,
    replicas?: number,
    pod_type?: "" | "s1" | "p1" | "p2",
    pod_size?: "" | "x1" | "x2" | "x4" | "x8",
    metadata_config?: Record<string, string>,
    source_collection?: number,
  ) {
    const client = new PineconeClient();
    await client.init(auth);
  
    const createRequest = removeObjectEmptyFields({
      name,
      dimension,
      metric,
      pods,
      replicas,
      pod_type: pod_type ? `${pod_type}.${pod_size || "x1"}` : undefined,
      metadata_config,
      source_collection,
    });
    return await client.createIndex({ createRequest });
  }
  

  Submitted by admin 521 days ago

• deno

  Edit in Windmill

  Embed

  import { removeObjectEmptyFields } from "https://deno.land/x/windmill_helpers@v1.1.1/mod.ts";
  import { PineconeClient } from "npm:@pinecone-database/pinecone";
  
  /**
   * @param name The name of the index to be created. The maximum length is 45 characters.
   * 
   * @param dimension The dimensions of the vectors to be inserted in the index.
   * 
   * @param metric _(Optional)_ The distance metric to be used for similarity search.
   * 
   * @param pods _(Optional)_ The number of pods for the index to use, including replicas.
   * 
   * @param replicas _(Optional)_ The number of replicas.
   * 
   * @param pod_type _(Optional)_ The pod type for the index.
   * `s1`: Best storage capacity.
   * `p1`: Faster queries.
   * `p2`: Lowest latency and highest throughput.
   * 
   * @param pod_size _(Optional)_ The size of the pod. You can increase (but not decrease) the pod size on running indexes.
   * If `pod_type` is not set, this will be ignored.
   * 
   * @param metadata_config _(Optional)_ Configuration for the behavior of Pinecone's internal metadata index.
   * By default, all metadata is indexed; when `metadata_config` is present, only specified metadata fields are indexed.
   * 
   * @param source_collection _(Optional)_ The name of the collection to create an index from.
   */
  type Pinecone = {
    apiKey: string;
    environment: string;
  };
  export async function main(
    auth: Pinecone,
    name: string,
    dimension: number,
    metric?: '' | 'euclidean' | 'cosine' | 'dotproduct',
    pods?: number,
    replicas?: number,
    pod_type?: '' | 's1' | 'p1' | 'p2',
    pod_size?: '' | 'x1' | 'x2' | 'x4' | 'x8',
    metadata_config?: Record<string, string>,
    source_collection?: number,
  ) {
    const client = new PineconeClient();
    await client.init(auth);
  
    const createRequest = removeObjectEmptyFields({
      name,
      dimension,
      metric,
      pods,
      replicas,
      pod_type: pod_type ? `${pod_type}.${pod_size || 'x1'}` : undefined,
      metadata_config,
      source_collection
    })
    return await client.createIndex({ createRequest });
  }
  

  Submitted by admin 524 days ago

• deno

  Edit in Windmill

  Embed

  import { Resource } from "https://deno.land/x/windmill@v1.88.1/mod.ts";
  import { removeObjectEmptyFields } from "https://deno.land/x/windmill_helpers@v1.1.1/mod.ts";
  import { PineconeClient } from "npm:@pinecone-database/pinecone";
  
  /**
   * @param name The name of the index to be created. The maximum length is 45 characters.
   * 
   * @param dimension The dimensions of the vectors to be inserted in the index.
   * 
   * @param metric _(Optional)_ The distance metric to be used for similarity search.
   * 
   * @param pods _(Optional)_ The number of pods for the index to use, including replicas.
   * 
   * @param replicas _(Optional)_ The number of replicas.
   * 
   * @param pod_type _(Optional)_ The pod type for the index.
   * `s1`: Best storage capacity.
   * `p1`: Faster queries.
   * `p2`: Lowest latency and highest throughput.
   * 
   * @param pod_size _(Optional)_ The size of the pod. You can increase (but not decrease) the pod size on running indexes.
   * If `pod_type` is not set, this will be ignored.
   * 
   * @param metadata_config _(Optional)_ Configuration for the behavior of Pinecone's internal metadata index.
   * By default, all metadata is indexed; when `metadata_config` is present, only specified metadata fields are indexed.
   * 
   * @param source_collection _(Optional)_ The name of the collection to create an index from.
   */
  export async function main(
    auth: Resource<"pinecone">,
    name: string,
    dimension: number,
    metric?: '' | 'euclidean' | 'cosine' | 'dotproduct',
    pods?: number,
    replicas?: number,
    pod_type?: '' | 's1' | 'p1' | 'p2',
    pod_size?: '' | 'x1' | 'x2' | 'x4' | 'x8',
    metadata_config?: Record<string, string>,
    source_collection?: number,
  ) {
    const client = new PineconeClient();
    await client.init(auth);
  
    const createRequest = removeObjectEmptyFields({
      name,
      dimension,
      metric,
      pods,
      replicas,
      pod_type: pod_type ? `${pod_type}.${pod_size || 'x1'}` : undefined,
      metadata_config,
      source_collection
    })
    return await client.createIndex({ createRequest });
  }
  

  Submitted by adam186 639 days ago