Time to complete: 20 minutes

In this guide we’ll walk you through how to store media using the Sequence Collections API with Cloudflare Workers, as well as read from the Metadata API to render images

This can be accomplished with 8 steps

  1. Obtain a Secret API Key from the Sequence Builder Console
  2. Create Collection from a cURL request one time
  3. Create Token create a token using a tokenID
  4. Create Asset create an assetID
  5. Store an Image process and store an image
  6. Update to Non-private update an asset to be non-private
  7. Publish Collection from a cURL request one time
  8. Render Asset from API from a cURL request one time

First follow this section of the Collectible Minting Service Guide guide to create a cloudflare worker

​
1. Obtain a Secret API Key

In order to use the backend service, a Secret API Key must be obtained to authenticate requests to your project

First start by accessing settings, and selecting the API Keys from the Sequence Builder Console

Scroll down and select + Add Service Account

Then change the access to write and confirm

Finally copy the key and store it in your wrangler.toml as JWT_ACCESS_KEY, as you will not have access to this in the future from the Sequence Builder Console.

​
2. Create Collection from a cURL Request

As a one time requirement to uploading media to the service, a collection has to be first made. By using the Secret API Key and projectID retrieved from the Builder Console

We call the service to retrieve a collectionID

curl --location 'https://metadata.sequence.app/rpc/Collections/CreateCollection' \

--header 'Content-Type: application/json' \

--header 'Authorization: Bearer <secret_API_key or jwt_access_key>' \

--data '{

    "projectId": <project_id>,

    "collection": {

        "metadata": {

            "name": "<collection_name>",

            "description": "<description>",

            "external_link" : "<https://link>"

        },

        "image": "",

        "decimals": <decimals_typically_as_0>,

        "properties": null,

        "attributes": null

    }

}'

We then set the collectionID from the returned response in the wrangler.toml as COLLECTION_ID

​
3. Create Token using TokenID

If using a Clouflare worker, ensure to add node_compat = true to your wrangler.toml to allow the window object to be available to the @0xsequence/metadata package

Install the metadata package to use the SequenceCollections with pnpm install @0xsequence/metadata

import { SequenceCollections } from '@0xsequence/metadata'

import { ethers } from 'ethers'

...

const METADATA_URL = 'https://metadata.sequence.app'

const collectionsService = new SequenceCollections(METADATA_URL, JWT_ACCESS_KEY)



const randomTokenIDSpace = ethers.BigNumber.from(ethers.hexlify(ethers.randomBytes(20)))



const res1 = await collectionsService.createToken({

	projectId: projectID,

	collectionId: collectionID,

	token: {

		tokenId: String(randomTokenIDSpace),

		name: name,

		description: description,

		decimals: 0,

		attributes: attributes // can leave blank

	}

})

​
4. Create Asset using TokenID

In the request, set the metadadaField (assetType) to image, with the other necessary fields completed to return an asset response to be used in the next step

const jsonCreateAsset = await collectionsService.createAsset({

	projectId: projectID,

	asset: {

		id: Number(String(randomTokenIDSpace).slice(0,10)),

		collectionId: collectionID,

		tokenId: String(randomTokenIDSpace),

		metadataField: "image"

	}

})

​
5. Store Image Asset

With the passed in asset.id from the previous jsonCreateAsset object

	...

	const uploadAsset = async (env: Env, projectID: any, collectionID: any, assetID: any, tokenID: any, url: any) => {

		const response = await fetch(url);

		if (!response.ok) throw new Error(`Failed to fetch file from ${url}: ${response.statusText}`);

		const arrayBuffer = await response.arrayBuffer();

		const blob = new Blob([arrayBuffer]);



		const formData = new FormData();

		

		formData.append('file', blob, `image.png`); // You might want to dynamically determine the filename

		

		let METADATA_URL = 'https://metadata.sequence.app'



		// Construct the endpoint URL

		const endpointURL = `${METADATA_URL}/projects/${projectID}/collections/${collectionID}/tokens/${tokenID}/upload/${assetID}`;



		try {

			// Use fetch to make the request

			const fetchResponse = await fetch(endpointURL, {

				method: 'PUT',

				body: formData,

				headers: {

					'X-Access-Key': env.PROJECT_ACCESS_KEY,

					'Authorization': `Bearer ${env.JWT_ACCESS_KEY}`, // Put your token here

				},

			});

		

			// Assuming the response is JSON

			const data = await fetchResponse.json();



			return data;

		}catch(err){

			console.log(err)

		}

	}

	...

	const uploadAssetRes = await uploadAsset(env, projectID, collectionID, jsonCreateAsset.asset.id, String(randomTokenIDSpace), imageUrl)

	...

Where the returned uploadAssetRes.url is the media file url living on Sequence servers

​
6. Update Non-private Token

Now, we make the token non-private by setting a private boolean to false

const res3 = await collectionsService.updateToken({

	projectId: projectID,

	collectionId: collectionID,

	private: false,

	tokenId: String(randomTokenIDSpace),

	token: {

		name: name,

		attributes: attributes,

		tokenId: String(randomTokenIDSpace),

	}

})

​
7. Publish Collection From A cURL Request

Finally, also as a one time request, we publish the collection based on the projectID and collectionID by running the following command

curl --location 'https://metadata.sequence.app/rpc/Collections/PublishCollection' \

--header 'Content-Type: application/json' \

--header 'Authorization: Bearer <secrect_API_key or jwt_access_key> \

--data '{

    "projectId": <project_id>,

    "collectionId": <collection_id>

}'

This would make the collection and all the tokens with the private flag set as false accessible publicly, while others remain hidden until changed

​
8. Render Asset from API Publicly

You can test your prior work, by calling this cURL request with the updated variables, which will download the file to your local terminal.

Or, you can copy and paste into a browser and see the image

Where if you used the same code, the <file_name> will be image.png

[cURL]
curl --location 'https://metadata.sequence.app/projects/<project_id>/collections/<collection_id>/tokens/<token_id>/<file_name>' --output stored_file.png

And if you were using the collection for the baseURI of an ERC721 or ERC1155 you would write to a smart contract setBaseMetadataURI the following URI

https://metadata.sequence.app/projects/<project_id>/collections/<collection_id>/tokens/

And the smart contract will automatically append the tokenID to the end

Give it a try

[cURL]
curl https://metadata.sequence.app/projects/1229/collections/40/tokens/457657099779485875855215293997335918990635014431

Or in a browser

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Render Asset from API Privately

Alternatively, you can decide to keep your assets stored private, but still render the data with a header secret api key passed in with the parameters completed, and for this guide the metadata_field is set to image

[cURL]
curl --location 'https://metadata.sequence.app/projects/<project_id>/collections/<collection_id>/tokens/<token_id>/asset/<metadada_field>' \

--header 'Authorization: Bearer <secret_api_key or jwt_access_key>' \

--output stored_file.png

Full code for this guide can be found here

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