# Quickstart: Marketplace Flow This batteries-included flow includes metadata, multiple services for one datatoken, and compute-to-data. It focuses on Alice's experience as a publisher, and Bob's experience as a buyer & consumer. The rest are services used by Alice and Bob. Here's the steps. 1. Initialize services 1. Alice publishes assets for data services (= publishes a datatoken contract and metadata) 1. Alice mints 100 tokens 1. Alice allows marketplace to sell her datatokens 1. Marketplace posts asset for sale 1. Value swap: Bob buys datatokens from marketplace 1. Bob uses a service he just purchased (download) Let's go through each step. ## 0. Installation If you haven't installed yet: ```console pip install ocean-lib ``` ## 1. Initialize services This quickstart treats the publisher service, metadata store, and marketplace as externally-run services. For convenience, we run them locally in default settings. ``` docker run @oceanprotocol/provider-py:latest docker run @oceanprotocol/metadatastore:latest docker run @oceanprotocol/marketplace:latest ``` ## 2. Alice publishes assets for data services (= publishes a datatoken contract) ```python from ocean_lib import Ocean from ocean_lib.web3_internal.utils import get_account #Alice's config config = { 'network' : 'rinkeby', 'privateKey' :'8da4ef21b864d2cc526dbdb2a120bd2874c36c9d0a1fb7f8c63d7f7a8b41de8f', 'metadataStoreUri' : 'localhost:5000', 'providerUri' : 'localhost:8030' } ocean = Ocean(config) account = get_account(0) data_token = ocean.create_data_token(ocean.config.metadata_store_url, account) token_address = data_token.address metadata = {"main": { "type": "dataset", "name": "10 Monkey Species Small", "author": "Mario", "license": "CC0: Public Domain", "dateCreated": "2012-02-01T10:55:11Z", "files": [{ "index": 0, "contentType": "application/zip", "url": "https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/assets/training.zip"}, { "index": 1, "contentType": "text/text", "url": "https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/assets/monkey_labels.txt"}, { "index": 2, "contentType": "application/zip", "url": "https://s3.amazonaws.com/datacommons-seeding-us-east/10_Monkey_Species_Small/assets/validation.zip"}]}} asset = ocean.assets.create(metadata, account, data_token_address=token_address) assert token_address == asset._other_values['dataTokenAddress'] did = asset.did ``` ## 3. Alice mints 100 tokens ```python data_token.mint(account.address, 100, account) ``` ## 4. Alice allows marketplace to sell her datatokens ```python marketplace_address = '0x068ed00cf0441e4829d9784fcbe7b9e26d4bd8d0' data_token.approve(marketplace_address, 20) ``` ## 5. Marketplace posts asset for sale Now, you're the marketplace:) ```python from ocean_lib import Ocean #Market's config config = { 'network': 'rinkeby', 'privateKey':'1234ef21b864d2cc526dbdb2a120bd2874c36c9d0a1fb7f8c63d7f7a8b41de8f', } market_ocean = Ocean(config) asset = ocean.assets.resolve(did) service1 = asset.get_service('download') service2 = asset.get_service('access') price = 10.0 #marketplace-set price of 10 USD / datatoken #Display key asset information, such as the cost of each service print(f"Service 1 costs {service1.get_num_dt_needed() * price} USD") # 1.5 * 10 = 15 print(f"Service 2 costs {service2.get_num_dt_needed() * price} USD") # 2.5 * 10 = 25 ``` ## 6. Value swap: Bob buys datatokens from marketplace ```python #Not shown: in marketplace GUI, Bob uses Stripe to send USD to marketplace (or other methods / currencies). market_token = market_ocean.get_data_token(token_address) market_token.transfer(dst_address=bob_address, 1.0) ``` ## 7. Bob uses a service he just purchased (download) Now, you're Bob:) ```python #Bob's config config = { 'network': 'rinkeby', 'privateKey':'1234ef21b864d2cc526dbdb2a120bd2874c36c9d0a1fb7f8c63d7f7a8b41de8o', } market_ocean = Ocean(config) service = asset.get_service('access') file_path = bob_ocean.assets.download(asset.did, service.index, bob_account, '~/my-datasets') ```