Documentation Index
Fetch the complete documentation index at: https://docs.canton.network/llms.txt
Use this file to discover all available pages before exploring further.
How To Implement Time Constraints
Contract time constraints may be implemented using either:-
ledger time primitives (i.e. isLedgerTimeLT, isLedgerTimeLE, isLedgerTimeGT and isLedgerTimeGE) or assertions (i.e. assertWithinDeadline and assertDeadlineExceeded)
- the use of ledger time primitives and assertions do not constrain the time bound between transaction preparation and submission - e.g. they are suitable for workflows using external parties to sign transactions
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or, by calling getTime
- calls to getTime constrain transaction preparation and submission workflows to be (by default) within 1 minute.
- the 1 minute value is the default value for the ledger time record time tolerance parameter (a dynamic synchronizer parameter).
How to check that a deadline is valid
This design pattern demonstrates how to limit choices so that they must occur by a given deadline.Motivation
When parties need to perform ledger writes by a given deadline.Implementation
Transfer proposals can be accepted at any point in time. To restrict this behaviour so that acceptance must occur by a fixed time, a guard for AcceptTransfer choice execution can be added. TransferProposal contract In the TransferProposal contract, the body of the AcceptTransfer choice is modified to assert that the contract deadline is valid.How to check that a deadline has passed
This design pattern demonstrates how to ensure choices only occur after a given deadline.Motivation
When parties need to perform ledger writes after a fixed time delay.Implementation
Transfer proposals can be accepted at any point in time. To restrict this behaviour so that acceptance can only occur after a fixed delay, a guard for AcceptTransfer choice execution can be added. TransferProposal contract In the TransferProposal contract, the body of the AcceptTransfer choice is modified to assert that the contract deadline has been exceeded or passed.Grant time-limited writes to parties
This design pattern demonstrates how to grant time-limited writes to parties.Motivation
When parties need to be able to perform ledger writes, but writes need to only be granted for a specific time window.Implementation
Transfer proposals can be accepted at any point in time. To restrict this behaviour so that acceptance can only occur within a given time window, a guard for AcceptTransfer choice execution can be added. TransferProposal contract In the TransferProposal contract, the body of the AcceptTransfer choice is modified to assert that the contract deadline has been exceeded or passed.Where to use getTime
For workflows that prepare and submit transactions, care needs to be taken when using calls to getTime. This is because calls to getTime cause transactions to be bound to the ledger time, and in turn constrain how sequencers may re-order transactions. Global Synchronizers are configured such that the transaction prepare and submit time window is one minute, so any workflow using getTime must prepare and submit transactions within that one-minute time window. For workflows where this constraint can not be met (e.g. workflows that sign transactions using external parties), it is recommended that workflows are designed to use the ledger time primitives and assertions.Motivation
When parties need to perform ledger writes by a given deadline, but are able to prepare and submit a transaction within 1 minute.Implementation
Transfer proposals can be accepted at any point in time. To require acceptance by a fixed time, you can add a guard for AcceptTransfer choice execution. Here you determine the current ledger time by calling getTime. TransferProposal contract In the TransferProposal contract, the body of the AcceptTransfer choice is modified to assert that the contract deadline is valid relative to the ledger time returned by calling getTime.Add constraints to a contract
You will often want to constrain the data stored or the allowed data transformations in your contract models. In this section, you will learn about the two main mechanisms provided in Daml:- The
ensurekeyword. - The
assert,abortand,errorkeywords.
Update and Script types, and do blocks, which will be good preparation for compose, where you will use do blocks to compose choices into complex transactions.
Lastly, you will learn about time on the ledger and in Daml Script.
Template preconditions
The first kind of restriction you may want to put on the contract model are called template pre-conditions. These are simply restrictions on the data that can be stored on a contract from that template. Suppose, for example, that theSimpleIou contract from simple_iou should only be able to store positive amounts. You can enforce this using the ensure keyword:
ensure keyword takes a single expression of type Bool. If you want to add more restrictions, use logical operators &&, ||, and not to build up expressions. The below shows the additional restriction that currencies are three capital letters:
Assertions
A second common kind of restriction is one on data transformations. For example, the simple Iou insimple_iou allowed the no-op where the owner transfers to themselves. You can prevent that using an assert statement, which you have already encountered in the context of scripts.
assert does not return an informative error so often it’s better to use the function assertMsg, which takes a custom error message:
Redeem choice, which allows the owner to redeem an Iou during business hours on weekdays. The Redeem choice implementation below confirms that getTime returns a value that is during business hours on weekdays. If all those checks pass, the choice does not do anything other than archive the SimpleIou. (This assumes that actual cash changes hands off-ledger:)
DA.Date and DA.Time. The hour of the day is checked to be in the range from 8 to 18. The day of week is checked to not be Saturday or Sunday.
The following example shows how the Redeem choice is exercised in a script:
Redeem choice, the above code sets and advances the ledger time with the setTime and passTime functions respectively. Exercising the choice should fail or should not fail depending on the day of week and the time of day. While that is straightforward, the issue of time on a Daml ledger is worthy of more discussion.
Time on Daml ledgers
Each transaction on a Daml ledger has two timestamps: the ledger time (LT) and the record time (RT). Ledger time (LT) is the time associated with a transaction in the ledger model, as determined by the participant. It is the time of a transaction from a business and application perspective. When you call `getTime, it is the LT that is returned. The LT is used when reasoning about related transactions and commits. The LT can be compared with other LTs to guarantee model consistency. For example, LTs are used to enforce that no transaction depends on a contract that does not exist. This is the requirement known as “causal monotonicity.” Record time (RT) is the time assigned by the persistence layer. It represents the time that the transaction is “physically” recorded. For example, “The backing database ledger has assigned the timestamp of such-and-such time to this transaction.” The only purpose of the RT is to ensure that transactions are being recorded in a timely manner. Each Daml ledger has a policy on the allowed difference between LT and RT called the skew. A consistent zero-skew is not feasible because this is a distributed system. If it is too far off, the transaction will be rejected. This is the requirement known as “bounded skew.” The RT is not relevant beyond this determination of skew. Returning to the theme of business hours, consider the following example: Suppose that the ledger had a skew of 10 seconds. At 17:59:55, just before the end of business hours, Alice submits a transaction to redeem an Iou. One second later, the transaction is assigned an LT of 17:59:56. However, there still may be a few seconds before the transaction is persisted to the underlying storage. For example, the transaction might be written in the underlying backing store at 18:00:06, after business hours. Because LT is within business hours and LT - RT .Time in test scripts
For tests, you can set time using the following functions:setTime, which sets the ledger time to the given time.passTime, which takes aRelTime(a relative time) and moves the ledger by that much.
TX2 depends on a transaction TX1, then the ledger enforces that the LT of TX2 is greater than or equal to that of TX1.
The following script illustrates that idea by moving the logical time back by three days and then trying to exercise a choice on a contract that hasn’t been created yet. That fails, as you would hope.
Actions and do blocks
You have come across do blocks and <- notations in two contexts by now: Script and Update. Both of these are examples of an Action, also called a Monad in functional programming. You can construct Actions conveniently using do notation.
Understanding Actions and do blocks is therefore crucial to being able to construct correct contract models and test them, so this section will explain them in some detail.
Pure expressions compared to actions
Expressions in Daml are pure in the sense that they have no side-effects: they neither read nor modify any external state. If you know the value of all variables in scope and write an expression, you can work out the value of that expression on pen and paper. However, the expressions you’ve seen that used the<- notation are not like that. For example, take getTime, which is an Action. Here’s the example we used earlier:
“daml
now syntax for functions later.
Coin and play are deliberately left obscure in the above. All you have is an action getCoin to get your hands on a Coin in a Script context and an action flipCoin which represents the simplest possible game: a single coin flip resulting in a Face.
You can’t play any CoinGame game on pen and paper as you don’t have a coin, but you can write down a script or recipe for a game:
game expression is a CoinGame in which a coin is flipped three times. If all three tosses return Heads, the result is "Win", or else "Loss".
In a Script context you can get a Coin using the getCoin action, which uses the LT to calculate a seed, and play the game.
Somehow the Coin is threaded through the various actions. If you want to look through the looking glass and understand in-depth what’s going on, you can look at the source file to see how the CoinGame action is implemented, though be warned that the implementation uses a lot of Daml features we haven’t introduced yet in this introduction.
More generally, if you want to learn more about Actions (aka Monads), we recommend a general course on functional programming, and Haskell in particular. See haskell-connection for some suggestions.
Errors
Above, you’ve learnt aboutassertMsg and abort, which represent (potentially) failing actions. Actions only have an effect when they are performed, so the following script succeeds or fails depending on the value of abortScript:
pow that takes an integer to the power of another positive integer. How do we handle that the second parameter has to be positive?
One option is to make the function explicitly partial by returning an Optional:
Optional. We can see the impact on convenience in the definition of the above function. In cases, like division by zero or the above function, it can therefore be preferable to fail catastrophically instead:
failingComputation is evaluated:
error should therefore only be used in cases where the error case is unlikely to be encountered, and where explicit partiality would unduly impact usability of the function.
Next up
You can now specify a precise data and data-transformation model for Daml ledgers. Inparties, you will learn how to properly involve multiple parties in contracts, how authority works in Daml, and how to build contract models with strong guarantees in contexts with mutually distrusting entities.