2017-01-06 11:05:37 +00:00
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Building transactions
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2016-11-28 13:39:34 +00:00
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=====================
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Introduction
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------------
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Understanding and implementing transactions in Corda is key to building
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and implementing real world smart contracts. It is only through
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construction of valid Corda transactions containing appropriate data
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that nodes on the ledger can map real world business objects into a
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shared digital view of the data in the Corda ledger. More importantly as
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the developer of new smart contracts it is the code which determines
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what data is well formed and what data should be rejected as mistakes,
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or to prevent malicious activity. This document details some of the
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considerations and APIs used to when constructing transactions as part
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of a flow.
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The Basic Lifecycle Of Transactions
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-----------------------------------
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Transactions in Corda are constructed in stages and contain a number of
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elements. In particular a transaction’s core data structure is the
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``net.corda.core.transactions.WireTransaction``, which is usually
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manipulated via a
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``net.corda.core.contracts.General.TransactionBuilder`` and contains:
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1. A set of Input state references that will be consumed by the final
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accepted transaction.
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2. A set of Output states to create/replace the consumed states and thus
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become the new latest versions of data on the ledger.
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3. A set of ``Attachment`` items which can contain legal documents, contract
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code, or private encrypted sections as an extension beyond the native
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contract states.
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4. A set of ``Command`` items which give a context to the type of ledger
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transition that is encoded in the transaction. Also each command has an
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associated set of signer keys, which will be required to sign the
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transaction.
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5. A signers list, which is populated by the ``TransactionBuilder`` to
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be the union of the signers on the individual Command objects.
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6. A notary identity to specify the Notary node which is tracking the
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state consumption. (If the input states are registered with different
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notary nodes the flow will have to insert additional ``NotaryChange``
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transactions to migrate the states across to a consistent notary node,
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before being allowed to mutate any states.)
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7. Optionally a timestamp that can used in the Notary to time bound the
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period in which the proposed transaction stays valid.
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Typically, the ``WireTransaction`` should be regarded as a proposal and
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may need to be exchanged back and forth between parties before it can be
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fully populated. This is an immediate consequence of the Corda privacy
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model, which means that the input states are likely to be unknown to the
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other node.
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Once the proposed data is fully populated the flow code should freeze
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the ``WireTransaction`` and form a ``SignedTransaction``. This is key to
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the ledger agreement process, as once a flow has attached a node’s
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signature it has stated that all details of the transaction are
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acceptable to it. A flow should take care not to attach signatures to
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intermediate data, which might be maliciously used to construct a
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different ``SignedTransaction``. For instance in a foreign exchange
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scenario we shouldn't send a ``SignedTransaction`` with only our sell
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side populated as that could be used to take the money without the
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expected return of the other currency. Also, it is best practice for
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flows to receive back the ``DigitalSignature.WithKey`` of other parties
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rather than a full ``SignedTransaction`` objects, because otherwise we
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have to separately check that this is still the same
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``SignedTransaction`` and not a malicious substitute.
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The final stage of committing the transaction to the ledger is to
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notarise the ``SignedTransaction``, distribute this to all appropriate
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parties and record the data into the ledger. These actions are best
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2017-01-06 11:05:37 +00:00
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delegated to the ``FinalityFlow``, rather than calling the individual
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2016-11-28 13:39:34 +00:00
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steps manually. However, do note that the final broadcast to the other
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nodes is asynchronous, so care must be used in unit testing to
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correctly await the Vault updates.
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Gathering Inputs
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----------------
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One of the first steps to forming a transaction is gathering the set of
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input references. This process will clearly vary according to the nature
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of the business process being captured by the smart contract and the
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parameterised details of the request. However, it will generally involve
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searching the Vault via the ``VaultService`` interface on the
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``ServiceHub`` to locate the input states.
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To give a few more specific details consider two simplified real world
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scenarios. First, a basic foreign exchange Cash transaction. This
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transaction needs to locate a set of funds to exchange. A flow
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modelling this is implemented in ``FxTransactionBuildTutorial.kt``.
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Second, a simple business model in which parties manually accept, or
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reject each other's trade proposals which is implemented in
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``WorkflowTransactionBuildTutorial.kt``. To run and explore these
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examples using the IntelliJ IDE one can run/step the respective unit
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tests in ``FxTransactionBuildTutorialTest.kt`` and
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``WorkflowTransactionBuildTutorialTest.kt``, which drive the flows as
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part of a simulated in-memory network of nodes. When creating the
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IntelliJ run configuration for these unit test set the workspace
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points to the root ``r3prototyping`` folder and add
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``-javaagent:lib/quasar.jar`` to the VM options, so that the ``Quasar``
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instrumentation is correctly configured.
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For the Cash transaction let’s assume the cash resources are using the
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standard ``CashState`` in the ``:financial`` Gradle module. The Cash
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contract uses ``FungibleAsset`` states to model holdings of
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interchangeable assets and allow the split/merge and summing of
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states to meet a contractual obligation. We would normally use the
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``generateSpend`` method on the ``VaultService`` to gather the required
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amount of cash into a ``TransactionBuilder``, set the outputs and move
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command. However, to elucidate more clearly example flow code is shown
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here that will manually carry out the inputs queries using the lower
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level ``VaultService``.
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.. literalinclude:: example-code/src/main/kotlin/net/corda/docs/FxTransactionBuildTutorial.kt
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:language: kotlin
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:start-after: DOCSTART 1
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:end-before: DOCEND 1
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As a foreign exchange transaction we expect an exchange of two
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currencies, so we will also require a set of input states from the other
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counterparty. However, the Corda privacy model means we do not know the
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other node’s states. Our flow must therefore negotiate with the other
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node for them to carry out a similar query and populate the inputs (See
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the ``ForeignExchangeFlow`` for more details of the exchange). Having
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identified a set of Input ``StateRef`` items we can then create the
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output as discussed below.
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For the trade approval flow we need to implement a simple workflow
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pattern. We start by recording the unconfirmed trade details in a state
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object implementing the ``LinearState`` interface. One field of this
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record is used to map the business workflow to an enumerated state.
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Initially the initiator creates a new state object which receives a new
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``UniqueIdentifier`` in its ``linearId`` property and a starting
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workflow state of ``NEW``. The ``Contract.verify`` method is written to
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allow the initiator to sign this initial transaction and send it to the
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other party. This pattern ensures that a permanent copy is recorded on
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both ledgers for audit purposes, but the state is prevented from being
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maliciously put in an approved state. The subsequent workflow steps then
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follow with transactions that consume the state as inputs on one side
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and output a new version with whatever state updates, or amendments
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match to the business process, the ``linearId`` being preserved across
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the changes. Attached ``Command`` objects help the verify method
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restrict changes to appropriate fields and signers at each step in the
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workflow. In this it is typical to have both parties sign the change
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transactions, but it can be valid to allow unilateral signing, if for instance
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one side could block a rejection. Commonly the manual initiator of these
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workflows will query the Vault for states of the right contract type and
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in the right workflow state over the RPC interface. The RPC will then
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initiate the relevant flow using ``StateRef``, or ``linearId`` values as
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parameters to the flow to identify the states being operated upon. Thus
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code to gather the latest input state would be:
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.. literalinclude:: example-code/src/main/kotlin/net/corda/docs/WorkflowTransactionBuildTutorial.kt
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:language: kotlin
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:start-after: DOCSTART 1
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:end-before: DOCEND 1
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.. container:: codeset
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.. sourcecode:: kotlin
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// Pull in the latest Vault version of the StateRef as a full StateAndRef
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val latestRecord = serviceHub.latest<TradeApprovalContract.State>(ref)
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Generating Commands
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-------------------
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For the commands that will be added to the transaction, these will need
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to correctly reflect the task at hand. These must match because inside
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the ``Contract.verify`` method the command will be used to select the
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validation code path. The ``Contract.verify`` method will then restrict
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the allowed contents of the transaction to reflect this context. Typical
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restrictions might include that the input cash amount must equal the
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output cash amount, or that a workflow step is only allowed to change
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the status field. Sometimes, the command may capture some data too e.g.
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the foreign exchange rate, or the identity of one party, or the StateRef
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of the specific input that originates the command in a bulk operation.
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This data will be used to further aid the ``Contract.verify``, because
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to ensure consistent, secure and reproducible behaviour in a distributed
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environment the ``Contract.verify``, transaction is the only allowed to
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use the content of the transaction to decide validity.
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Another essential requirement for commands is that the correct set of
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``CompositeKeys`` are added to the Command on the builder, which will be
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used to form the set of required signers on the final validated
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transaction. These must correctly align with the expectations of the
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``Contract.verify`` method, which should be written to defensively check
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this. In particular, it is expected that at minimum the owner of an
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asset would have to be signing to permission transfer of that asset. In
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addition, other signatories will often be required e.g. an Oracle
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identity for an Oracle command, or both parties when there is an
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exchange of assets.
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Generating Outputs
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------------------
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Having located a set of ``StateAndRefs`` as the transaction inputs, the
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flow has to generate the output states. Typically, this is a simple call
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to the Kotlin ``copy`` method to modify the few fields that will
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transitioned in the transaction. The contract code may provide a
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``generateXXX`` method to help with this process if the task is more
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complicated. With a workflow state a slightly modified copy state is
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usually sufficient, especially as it is expected that we wish to preserve
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the ``linearId`` between state revisions, so that Vault queries can find
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the latest revision.
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For fungible contract states such as ``Cash`` it is common to distribute
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and split the total amount e.g. to produce a remaining balance output
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state for the original owner when breaking up a large amount input
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state. Remember that the result of a successful transaction is always to
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fully consume/spend the input states, so this is required to conserve
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the total cash. For example from the demo code:
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.. literalinclude:: example-code/src/main/kotlin/net/corda/docs/FxTransactionBuildTutorial.kt
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:language: kotlin
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:start-after: DOCSTART 2
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:end-before: DOCEND 2
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Building the WireTransaction
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----------------------------
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Having gathered all the ingredients for the transaction we now need to
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use a ``TransactionBuilder`` to construct the full ``WireTransaction``.
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The initial ``TransactionBuilder`` should be created by calling the
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``TransactionType.General.Builder`` method. (The other
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``TransactionBuilder`` implementation is only used for the ``NotaryChange`` flow where
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``ContractStates`` need moving to a different Notary.) At this point the
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Notary to associate with the states should be recorded. Then we keep
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adding inputs, outputs, commands and attachments to fill the
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transaction. Examples of this process are:
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.. literalinclude:: example-code/src/main/kotlin/net/corda/docs/WorkflowTransactionBuildTutorial.kt
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:language: kotlin
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:start-after: DOCSTART 2
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:end-before: DOCEND 2
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.. literalinclude:: example-code/src/main/kotlin/net/corda/docs/FxTransactionBuildTutorial.kt
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:language: kotlin
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:start-after: DOCSTART 3
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:end-before: DOCEND 3
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Completing the SignedTransaction
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--------------------------------
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Having created an initial ``WireTransaction`` and converted this to an
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initial ``SignedTransaction`` the process of verifying and forming a
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full ``SignedTransaction`` begins and then completes with the
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notarisation. In practice this is a relatively stereotypical process,
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because assuming the ``WireTransaction`` is correctly constructed the
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verification should be immediate. However, it is also important to
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recheck the business details of any data received back from an external
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node, because a malicious party could always modify the contents before
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returning the transaction. Each remote flow should therefore check as
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much as possible of the initial ``SignedTransaction`` inside the ``unwrap`` of
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the receive before agreeing to sign. Any issues should immediately throw
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an exception to abort the flow. Similarly the originator, should always
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apply any new signatures to its original proposal to ensure the contents
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of the transaction has not been altered by the remote parties.
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The typical code therefore checks the received ``SignedTransaction``
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using the ``verifySignatures`` method, but excluding itself, the notary
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and any other parties yet to apply their signature. The contents of the
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``WireTransaction`` inside the ``SignedTransaction`` should be fully
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verified further by expanding with ``toLedgerTransaction`` and calling
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``verify``. Further context specific and business checks should then be
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made, because the ``Contract.verify`` is not allowed to access external
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context. For example the flow may need to check that the parties are the
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right ones, or that the ``Command`` present on the transaction is as
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expected for this specific flow. An example of this from the demo code is:
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.. literalinclude:: example-code/src/main/kotlin/net/corda/docs/WorkflowTransactionBuildTutorial.kt
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:language: kotlin
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:start-after: DOCSTART 3
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:end-before: DOCEND 3
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After verification the remote flow will return its signature to the
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originator. The originator should apply that signature to the starting
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``SignedTransaction`` and recheck the signatures match.
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Committing the Transaction
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--------------------------
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Once all the party signatures are applied to the SignedTransaction the
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final step is notarisation. This involves calling ``NotaryFlow.Client``
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to confirm the transaction, consume the inputs and return its confirming
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signature. Then the flow should ensure that all nodes end with all
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signatures and that they call ``ServiceHub.recordTransactions``. The
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2017-01-06 11:05:37 +00:00
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code for this is standardised in the ``FinalityFlow``, or more explicitly
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an example is:
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.. literalinclude:: example-code/src/main/kotlin/net/corda/docs/WorkflowTransactionBuildTutorial.kt
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:language: kotlin
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:start-after: DOCSTART 4
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:end-before: DOCEND 4
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Partially Visible Transactions
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------------------------------
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The discussion so far has assumed that the parties need full visibility
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of the transaction to sign. However, there may be situations where each
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party needs to store private data for audit purposes, or for evidence to
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a regulator, but does not wish to share that with the other trading
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partner. The tear-off/Merkle tree support in Corda allows flows to send
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portions of the full transaction to restrict visibility to remote
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parties. To do this one can use the
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``WireTransaction.buildFilteredTransaction`` extension method to produce
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a ``FilteredTransaction``. The elements of the ``SignedTransaction``
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which we wish to be hide will be replaced with their secure hash. The
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overall transaction txid is still provable from the
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``FilteredTransaction`` preventing change of the private data, but we do
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not expose that data to the other node directly. A full example of this
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can be found in the ``NodeInterestRates`` Oracle code from the
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``irs-demo`` project which interacts with the ``RatesFixFlow`` flow.
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Also, refer to the :doc:`merkle-trees` documentation.
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