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        "description": "\n<p align=\"center\">\n  <h1 align=\"center\">cardano-nft-vending-machine</h1>\n  <p align=\"center\">A simple CNFT mint-and-vend machine Python library that leverages cardano-cli and Blockfrost.io</p>\n  <p align=\"center\">\n    <a href=\"https://github.com/thaddeusdiamond/cardano-nft-vending-machine\">\n      <img src=\"https://img.shields.io/github/commit-activity/m/thaddeusdiamond/cardano-vending-machine?style=for-the-badge\" />\n    </a>\n    <a href=\"https://pypi.org/project/cardano-nft-vending-machine\">\n      <img src=\"https://img.shields.io/pypi/v/cardano-nft-vending-machine?style=for-the-badge\" />\n    </a>\n    <a href=\"https://pypi.org/project/cardano-nft-vending-machine\">\n      <img src=\"https://img.shields.io/pypi/dw/cardano-nft-vending-machine?style=for-the-badge\" />\n    </a>\n    <img src=\"https://img.shields.io/pypi/l/cardano-nft-vending-machine?style=for-the-badge\" />\n    <a href=\"https://twitter.com/wildtangz\">\n      <img src=\"https://img.shields.io/twitter/follow/wildtangz?style=for-the-badge&logo=twitter\" />\n    </a>\n  </p>\n</p>\n\n## :warning: **IMPORTANT**\nInteractions on the Cardano blockchain involve **REAL CURRENCY AND SHOULD NOT BE TREATED LIGHTLY**.  Some principles:\n* Never send money to an address you don't know and can't validate\n* Keys should be stored on servers that have as little attack surface (e.g., [iptables blacklists](https://www.cyberciti.biz/tips/linux-iptables-4-block-all-incoming-traffic-but-allow-ssh.html)) as possible\n* Open source software should always be audited independently -- UTSL!\n* There are **NO WARRANTIES WHATSOEVER WITH THIS PACKAGE** -- use at your own risk\n## Quickstart\nThis project contains Library bindings that can be installed using the standard [wheel](https://pypi.org/project/wheel/) mechanism.  See the [script quickstart section](#cardano_vending_machinepy) for how to run from CLI.\n### Library Usage\nThe library consists of several Python objects representing the mint process.  The sample below shows how one could run an infinite CNFT vending machine on mainnet for a 10\u20b3 mint (gross of fees and rebates) with their NFT:\n\n    # There are several sample whitelist implementations in cardano.wt.whitelist or you can implement your own\n    whitelist = SingleUseWhitelist('/path/to/whitelisted/assets/directory')\n\n    # The Mint object below represents your Mint and specifies price, and developer fee in Lovelace (both can be 0)\n    price = Balance(10000000, Balance.LOVELACE_POLICY)\n    mint = Mint([price], 1000000, 'addr1_developer', '/path/to/nft/json/metadata', '/path/to/mint/script', '/path/to/mint.skey', whitelist)\n\n    # Blockfrost is used in the code to validate where the UTXO sent to the payment address came from\n    blockfrost_api = BlockfrostApi('<BLOCKFROST_PROJ_ID>', mainnet=True)\n\n    # CardanoCli is a wrapper around the cardano-cli command (used as a utility without any interaction with the network)\n    cardano_cli = CardanoCli(protocol_params='/path/to/protocol.json')\n\n    # NftVendingMachine vends NFTs and needs to be called repeatedly (with a 25-vend max) so long as the mint period is open\n    nft_vending_machine = NftVendingMachine('addr_payment', '/path/to/payment.skey', 'addr_profit', 25, mint, blockfrost_api, cardano_cli, mainnet=True)\n\n    # The following simple loop carries the state of already-completed UTXOs to avoid double spending errors and uses a do-wait-check loop\n    already_completed = set()\n    while _program_is_running:\n        nft_vending_machine.vend('/path/to/output/dir', 'locking_subdir_name', 'metadata_subdir_name', already_completed)\n        time.sleep(WAIT_TIMEOUT)\n\n### ``main.py``\nThere is a sample vending machine script that is included in the ``src/`` directory to show how to invoke the library components.  Use ``-h`` to see detailed help or use a command like below:\n\n        python3 main.py [validate | run] \\\n                --payment-addr <PAYMENT_ADDR> \\\n                --payment-sign-key /FULL/PATH/TO/payment.skey \\\n                --profit-addr <PROFIT_ADDR> \\\n                (--mint-price <PRICE> <POLICY_ID>)+ \\\n                --mint-script /FULL/PATH/TO/policy.script \\\n                --mint-sign-key /FULL/PATH/TO/policy.skey \\\n                --blockfrost-project <BLOCKFROST_PROJECT_ID> \\\n                --metadata-dir metadata/ \\\n                --output-dir output/ \\\n                --single-vend-max <MAX_SINGLE_VEND> \\\n                [--vend-randomly] \\\n                [--no-whitelist | \\\n                  [--single-use-asset-whitelist <WHITELIST_DIR> \\\n                    | --unlimited-asset-whitelist <WHITELIST_DIR> \\\n                    | --wallet-whitelist <WHITELIST_DIR> ] \\\n                [--dev-fee dev_fee --dev-addr dev_addr] \\\n                [--bogo threshold additional] \\\n                [--mainnet]\n## Installation\nThis package is available from [PyPI](https://pypi.org/) and can be installed using ``pip3``.  Python <3.8 is currently unsupported at this time.\n\n\tpip3 install cardano-nft-vending-machine\n### Scripts\nIn the `scripts/` directory there are several scripts that can be used to help operationalize the vending machine.\n#### initialize_whitelist.py\nThis file should be used exactly once to initialize an asset-based whitelist for an existing NFT policy with *ALL* of the assets that are currently minted.  Note that the `CONSUMED_DIR` folder is created but left empty so that the vending machine (e.g., started with `main.py`) can use it during running.\n\n\tusage: initialize_whitelist.py [-h] asset --blockfrost-project BLOCKFROST_PROJECT --consumed-dir CONSUMED_DIR [--mainnet] --policy-id POLICY_ID [--preview] --whitelist-dir WHITELIST_DIR\n\tInitialize an asset-based whitelist for an existing NFT policy\n\toptional arguments:\n\t-h, --help\n\t\tshow this help message and exit\n\t--blockfrost-project BLOCKFROST_PROJECT\n\t\tBlockfrost project ID to use for retrieving chain data\n\t--consumed-dir CONSUMED_DIR\n\t\tLocal folder where consumed whitelist files will go after processing (MUST NOT YET EXIST)\n\t--mainnet\n\t\tRun the initializer against mainnet assets (default is False [preprod])\n\t--policy-id POLICY_ID\n\t\tPolicy ID of the assets to be whitelisted\n\t--preview\n\t\tRun the initializer against preview assets (default is False [preprod])\n\t--whitelist-dir WHITELIST_DIR\n\t\tLocal folder where whitelist files are stored (MUST NOT YET EXIST)\n  --num-mints-per-wl NUMBER\n    How many whitelist spots are available for each asset on the whitelist\n\n#### upload_wl_usage.py\n\nThis file should be run continuously during a whitelist mint to upload changes in the assets used for consumption by external parties.  Note that if there are any performance issues (e.g., IOPS throughput) with the local vending machine filesystem it is recommended you not use this file.  It is kept separate from the main vending machine operation to avoid any synchronization or performance issues as it is not critical.\n\n\tusage: upload_wl_usage.py [-h] --old-wl-file OLD_WL_FILE --out-file OUT_FILE --whitelist-dir WHITELIST_DIR [--credentials CREDENTIALS] [--upload-method UPLOAD_METHOD]\n\tDetermine if a set of whitelist assets have been recently used in the vending machine\n\toptional arguments:\n\t-h, --help  show this help message and exit\n\t--old-wl-file OLD_WL_FILE\n\t\tMost recent run of this program that was uploaded to cloud storage\n\t--out-file OUT_FILE\n\t\tWhere to store the new used whitelist information if any changes (can be same as --old-wl-file)\n\t--whitelist-dir WHITELIST_DIR\n\t\tLocal folder where consumed whitelist files have gone after processing by vending machine\n\t--whitelist-dir WHITELIST_DIR\n\t\tLocal folder where unused whitelist files are stored to be processed by vending machine\n\t--credentials CREDENTIALS\n\t\tJSON-formatted application-specific credentials\n\t--upload-method UPLOAD_METHOD\n\t\tMechanism for uploading changes in whitelist files (e.g., CloudFlare)\n\n## APIs\nAll API documentation is auto-generated from ``pydoc3``-formatted multi-line strings in the source code.  A mirror of ``master`` is hosted on [Github Pages](https://thaddeusdiamond.github.io/cardano-nft-vending-machine/cardano/).\n## Build\nBuilding this project creates a ``.whl`` file for uploading to [PyPI]() or installing locally on a server.  All output is, by default, stored to ``dist/``.  To build, run:\n\n\tpython3 -m build\n## Test\nTo enhance the output of tests, we recommend installing [pytest-clarity](https://pypi.org/project/pytest-clarity/):\n\n\tpip3 install pytest-clarity\nTests are stored in the ``tests`` subdirectory and are run using [pytest](https://docs.pytest.org/en/7.1.x/).  But before invoking the tests you need to create secrets for [blockfrost.io](https://blockfrost.io) and fund a test address (the \"funder\") as below.\n\n### Blockfrost Key Files\nThere are two supported test Cardano networks on Blockfrost as of the time of this writing: preprod and preview.  More information on these two supported test networks can be found on the [Cardano.org testnet documentation](https://docs.cardano.org/cardano-testnet/getting-started).\n\nFor running the testing suite on preprod you will need to create a file at ``tests/secrets/blockfrost-preprod.key`` that contains *just your blockfrost key* for preprod. If you want to run on preview, simply do that same for your preview key at ``tests/secrets/blockfrost-preview.key``.  For more information, see the [full blockfrost.io documentation](https://docs.blockfrost.io/).\n\n### Funder Key Files\nThe test suite assumes that there is a \"funder\" address that is able to pay tADA out (and then receive the entire sum at the end of a successful test less chain fees).  To create a new funder address, run:\n\n\tcardano-cli address key-gen \\\n\t\t--signing-key-file tests/secrets/funder.skey \\\n\t\t--verification-key-file tests/secrets/funder.vkey\n\nThe result will be two files (the signing key and verification/public key) of a \"funder\" address.  This address can be determined at the CLI using:\n\n\tcardano-cli address build \\\n            --payment-verification-key-file tests/secrets/funder.vkey \\\n            --testnet-magic <PREPROD_OR_PREVIEW_MAGIC>\n\nBefore running any tests ensure the funder has adequate tADA by using the [testnets faucet](https://docs.cardano.org/cardano-testnet/tools/faucet) for whichever test network you will be running the test suite against.\n\n### Running the Tests\nFinally, to run the tests:\n\n\tpython3 -m pytest -vv [-s] [-k TEST_SINGLE_PATTERN]\nBy default tests will run on the [preprod Cardano network](https://docs.cardano.org/cardano-testnet/getting-started#late-stagetestingnetworks).  To test against mainnet or the [preview Cardano network](https://docs.cardano.org/cardano-testnet/getting-started#early-stagetestingnetworks) you can use the `TEST_ON_MAINNET` or `TEST_ON_PREVIEW` environment variables as follows:\n\n\tTEST_ON_PREVIEW=true python3 -m pytest -vv\nPull requests to ``master`` require 0 failing tests in order to be merged.\n\n### Scale Testing\nThe file `tests/scale_test.py` contains mechanisms for testing the vending machine at scale which are, by default, skipped during a test run.  To manually invoke these tests, you need to pass several specific parameters.  For example, running:\n\n\tpython3 -m pytest -vv -s -k test_concurrent_wallet_usage \\\n\t\t--available-assets 100\n\t\t--max-nfts 4\n\t\t--min-nfts 0\n\t\t--mint-price 5000000\n\t\t--num-wallets 100\n\nWould run a simulation where 100 wallets would randomly attempt to purchase between 0 and 4 assets (according to a normal distribution), during a 5A mint.  The code would ensure that each recipient received less than or equal to their stated asset count and that in total no more than 100 assets were minted.\n\nNote that currently we have only loaded 100 sample files into `tests/data/scale` but could increase this in the future as needed.  The key here is the concurrent wallet/UTxO creation, not necessarily the asset scale.  Whitelist scale testing is not supported at the moment.\n\n### Code Coverage\nWe use [coverage](https://coverage.readthedocs.io/en/6.4.4/) to measure code coverage from our pytests across the code base.  To run a full test suite with code coverage metrics, invoke:\n\n\tpython3 -m coverage run --source=src/ --branch -m pytest -vv\nNote that you must *separately* generate the report on your CLI using the following:\n\n\tpython3 -m coverage html\nWe aim to maintain 85%+ coverage (lines + branches) if possible.\n\n## Documentation\nDocumentation is stored in multi-line comments inside the source code and should be generated using the ``pdoc3`` package as follows:\n\n    pdoc3 --html -o docs/ src/cardano\n",
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