The Trial Data Structure is a Either-like structure that keeps events history inside. The data type allows to keep track of the Fatality level of each such event entry (Warning or Error).
Project Structure🔗
This is a multi-package project that has the following packages inside:
| Package | Description |
|---|---|
trial |
The main package that contains the Trial data structure, instances and useful functions to work with the structure. |
trial-optparse-applicative |
Trial structure integration with the optparse-applicative library for Command Line Interface. |
trial-tomland |
Trial structure integration with the tomland library for TOML configurations. |
trial-example |
Example project with the usage example of the Trial data structure. |
How to use trial🔗
trial is compatible with the latest GHC versions starting from 8.6.5.
In order to start using trial in your project, you will need to set it up with the three easy steps:
Add the dependency on
trialin your project’s.cabalfile. For this, you should modify thebuild-dependssection by adding the name of this library. After the adjustment, this section could look like this:build-depends: base ^>= 4.14 , trial ^>= 0.0In the module where you plan to use
Trial, you should add the import:import Trial (Trial (..), fiasco, prettyPrintTrial)Now you can use the types and functions from the library:
main :: IO () main = putStrLn $ prettyPrintTrial $ fiasco "This is fiasco, bro!"
Trial Data Structure🔗
Let’s have a closer look at the Trial data structure. Trial is a sum type that has two constructors:
Fiasco— represents the unsuccessful state similar to theLeftconstructor ofEither. However, unlikeLeft,Fiascoholds a list of allerror-like items that happened along the way. Each such item has a notion ofFatality(the severity of the error). The following cases coverFatality:Error— fatal error that led to the final fatalFiasco.Warning— non-essential error, which didn’t affect the result.
Result— represents the successful state similar to theRightconstructor ofEither. However, unlikeRight,Resultkeeps the list of allerror-like items that happened along the way. All error items are warnings as the final result was found anyway.
Schematically, Trial has the following internal representation:
data Trial e a
│ │
│ ╰╴Resulting type
│
╰╴An error item type
-- | Unsuccessful case
= Fiasco (DList (Fatality, e))
│ │ │
│ │ ╰╴One error item
│ │
│ ╰╴Level of damage
│
╰╴Efficient list-container for error type items
-- | Successful case
| Result (DList e) a
│ │ │
│ │ ╰╴Result
│ │
│ ╰╴One warning item
│
╰╴Efficient list-container for warning type itemsTrial instances🔗
In order to follow the basis idea of the data type, Trial uses smart constructors and different instances to make the structure work the way it works.
Here are the main points:
- All
Fiascos can be created only with theErrorFatalitylevel. - The
Fatalitylevel can be eased only through theSemigroupappends of differentTrials. - All error items in
Resultshould have onlyWarningFatalitylevel. This is guaranteed by theTrialSemigroupandApplicativeinstances. Semigroupis responsible for the correct collection of history events, theirFatalitylevel and the final result decision.Semigroupchooses the latest ‘Result’ and combines all events.- Think of
Semigroupinstance as of high-level combinator of your result. Applicativeis responsible for the correct combination ofTrials.ApplicativereturnsFiasco, if at least one value ifFiasco, combine all events.- Think of
Applicativeinstance as of low-level combinator of your result on the record fields level. Alternativeinstance could help when you want to stop on the firstResultand get the history of all failures before it.Alternative: return firstResult, also combine all events for allTrials before thisResult.
Tagged Trial🔗
Additionally, there is a Trial-like data type that has a notion of the tag inside.
The main difference from Trial is that the resulting type contains additional information of the tag (or source it came from). The type looks like this:
type TaggedTrial tag a = Trial tag (tag, a)Due to the described instances implementation, the tag will always be aligned with the final source it came from.
The library provides different ways to add the tag: * Manual with the withTag function * Using OverloadedLabelsand the provided IsLabel instance for TaggedTrial.
You can choose the one that is more suitable for your use-case.
Usage Examples🔗
One of the use cases when one could consider using Trial is the configurations in the application.
If you need to collect configurations from different places, combine the results into a single configuration, you can find the Trial data structure quite handy. With trial you can get the event history for free and also you can keep track of where the final result for each component of your configurations type comes from (by using tag functionality).
The complete example in the trial-example package. It combines CLI, TOML configuration and the default options provided in the source code.
| Executable | Description |
|---|---|
trial-example |
The basic example of config problem with the usage of TaggedTrial |
trial-example-advanced |
The basic example of config problem with the usage of TaggedTrial with the Phase based approach. |
To run it you can use the following command:
$ cabal run trial-example
$ cabal run trial-example-advanced
For the successful result you can use the CLI and provide necessary information in order to have the complete configurations:
$ cabal run trial-example -- --host="abc"
$ cabal run trial-example-advanced -- --host="abc"