
There's a pattern that arises fairly often: catching every exception thrown by code. The naive approach is to do something like: result <- try someCode case result of Left (e :: SomeException) -> putStrLn $ "It failed: " ++ show e Right realValue -> useRealValue This seems perfectly valid, except that it catches a number of exceptions which seemingly should *not* be caught. In particular, it catches the async exceptions used by both killThread and timeout. I think it's fair to say that there's not going to be a single function that solves all cases correctly, but it is a common enough situation that people need to write code that resumes work in the case of an exception that I think we need to either have some guidelines for the right approach here, or perhaps even a utility function along the lines of: shouldBeCaught :: SomeException -> Bool One first stab at such a function would be to return `False` for AsyncException and Timeout, and `True` for everything else, but I'm not convinced that this is sufficient. Are there any thoughts on the right approach to take here?

Michael Snoyman
shouldBeCaught :: SomeException -> Bool
One first stab at such a function would be to return `False` for AsyncException and Timeout, and `True` for everything else, but I'm not convinced that this is sufficient. Are there any thoughts on the right approach to take here?
I think there is no one right approach. However, if you add such a function to the exception library, it really belongs into the Exception type class with the following type: shouldBeCaught :: (Exception e) => e -> Bool However, a better approach is to have exception tags. In most cases you don't want to catch killThread's or timeout's exception, but you do want to catch all error exceptions: data Tag = Error | Abort | TryAgain | {- ... -} | Other String deriving (Data, Eq, Ord, Read, Show, Typeable) instance IsString Tag where fromString t = Other t This could then manifest in the following two functions in the Exception type class: hasTag :: (Exception e) => Tag -> e -> Bool tagsOf :: (Exception e) => e -> [Tag] Then exception catchers (functions that risk swallowing important exceptions) could filter by type and tag. Greets, Ertugrul -- Not to be or to be and (not to be or to be and (not to be or to be and (not to be or to be and ... that is the list monad.

I think 'shouldBeCaught' is more often than not the wrong thing. A
whitelist of exceptions you're prepared to handle makes much more sense
than excluding certain operations. Some common whitelists, e.g. filesystem
exceptions or network exceptions, might be useful to have.
I like Ertugrul's suggestion a lot, however it seems a bit more invasive.
If we want to do that work, we could also restructure the wired-in
exceptions so they're more hierarchical. There are some top-level
exceptions we can get by type, such as ArithException, but sadly many
interesting and useful exceptions are lumped together under IOException.
On Wed, Jul 10, 2013 at 4:29 PM, Ertugrul Söylemez
Michael Snoyman
wrote: shouldBeCaught :: SomeException -> Bool
One first stab at such a function would be to return `False` for AsyncException and Timeout, and `True` for everything else, but I'm not convinced that this is sufficient. Are there any thoughts on the right approach to take here?
I think there is no one right approach. However, if you add such a function to the exception library, it really belongs into the Exception type class with the following type:
shouldBeCaught :: (Exception e) => e -> Bool
However, a better approach is to have exception tags. In most cases you don't want to catch killThread's or timeout's exception, but you do want to catch all error exceptions:
data Tag = Error | Abort | TryAgain | {- ... -} | Other String deriving (Data, Eq, Ord, Read, Show, Typeable)
instance IsString Tag where fromString t = Other t
This could then manifest in the following two functions in the Exception type class:
hasTag :: (Exception e) => Tag -> e -> Bool tagsOf :: (Exception e) => e -> [Tag]
Then exception catchers (functions that risk swallowing important exceptions) could filter by type and tag.
Greets, Ertugrul
-- Not to be or to be and (not to be or to be and (not to be or to be and (not to be or to be and ... that is the list monad.
_______________________________________________ Haskell-Cafe mailing list Haskell-Cafe@haskell.org http://www.haskell.org/mailman/listinfo/haskell-cafe

On Wed, Jul 10, 2013 at 10:39 AM, John Lato
I think 'shouldBeCaught' is more often than not the wrong thing. A whitelist of exceptions you're prepared to handle makes much more sense than excluding certain operations. Some common whitelists, e.g. filesystem exceptions or network exceptions, might be useful to have.
You'd think that, but there are common use cases. For example, if you have a queue of work items, and a thread (or threads) processing them, it is useful to catch all exceptions of these threads. You can then log the exception, remove the item from the queue and put it in some error bucket, and continue on to the next item. The same goes for e.g. socket listening threads etc. The thing here is that you are *not* actually handling the specific exception, but instead failing gracefully. But you still want to be able to kill the worker threads, and you don't want to handle exceptions that you cannot recover from even by moving on to the next work item. Erik

On Wed, Jul 10, 2013 at 5:02 PM, Erik Hesselink
I think 'shouldBeCaught' is more often than not the wrong thing. A whitelist of exceptions you're prepared to handle makes much more sense
On Wed, Jul 10, 2013 at 10:39 AM, John Lato
wrote: than excluding certain operations. Some common whitelists, e.g. filesystem exceptions or network exceptions, might be useful to have.
You'd think that, but there are common use cases. For example, if you have a queue of work items, and a thread (or threads) processing them, it is useful to catch all exceptions of these threads. You can then log the exception, remove the item from the queue and put it in some error bucket, and continue on to the next item. The same goes for e.g. socket listening threads etc.
The thing here is that you are *not* actually handling the specific exception, but instead failing gracefully. But you still want to be able to kill the worker threads, and you don't want to handle exceptions that you cannot recover from even by moving on to the next work item.
I think that's a particularly niche use case. We have some similar code, and our approach is to have the thread re-throw (or terminate) after logging the exception. There's a separate thread that monitors the thread pool, and when threads die new ones are spawned to take their place (unless the thread pool is shutting down, of course). Spawning a new thread only happens on an exception and it's cheap anyway, so there's no performance issue. As Haskell currently stands trying to sort out thread-control and fatal-for-real exceptions from other exceptions seems rather fiddly, unreliable, and prone to change between versions, so I think it's best avoided. If there were a standard library function to do it I might use it, but I wouldn't want to maintain it.

On Wed, Jul 10, 2013 at 1:01 PM, John Lato
On Wed, Jul 10, 2013 at 5:02 PM, Erik Hesselink
wrote: I think 'shouldBeCaught' is more often than not the wrong thing. A whitelist of exceptions you're prepared to handle makes much more sense
On Wed, Jul 10, 2013 at 10:39 AM, John Lato
wrote: than excluding certain operations. Some common whitelists, e.g. filesystem exceptions or network exceptions, might be useful to have.
You'd think that, but there are common use cases. For example, if you have a queue of work items, and a thread (or threads) processing them, it is useful to catch all exceptions of these threads. You can then log the exception, remove the item from the queue and put it in some error bucket, and continue on to the next item. The same goes for e.g. socket listening threads etc.
The thing here is that you are *not* actually handling the specific exception, but instead failing gracefully. But you still want to be able to kill the worker threads, and you don't want to handle exceptions that you cannot recover from even by moving on to the next work item.
I think that's a particularly niche use case. We have some similar code, and our approach is to have the thread re-throw (or terminate) after logging the exception. There's a separate thread that monitors the thread pool, and when threads die new ones are spawned to take their place (unless the thread pool is shutting down, of course). Spawning a new thread only happens on an exception and it's cheap anyway, so there's no performance issue.
As Haskell currently stands trying to sort out thread-control and fatal-for-real exceptions from other exceptions seems rather fiddly, unreliable, and prone to change between versions, so I think it's best avoided. If there were a standard library function to do it I might use it, but I wouldn't want to maintain it.
Maybe I'm just always working on niche cases then, because I run into this problem fairly regularly. Almost any time you want to write a library that will run code it doesn't entirely trust, this situation arises. Examples include: - Writing a web server (like Warp) which can run arbitrary user code. Warp must fail gracefully if the user code throws an exception, without bringing down the entire server thread. - Writing some kind of batch processing job which uses any library which may throw an exception. A white list approach would not be sufficient here, since we want to be certain that any custom exception types have been caught. - A system which uses worker threads to do much of its work. You want to make certain the worker threads don't unexpectedly die because some exception was thrown that you were not aware could be thrown. I use this technique extensively in Keter, and in fact some work I'm doing on that code base now is what triggered this email. I think that, overall, Ertugrul's suggestion is probably the right one: we should be including richer information in the `Exception` typeclass so that there's no guessing involved, and any custom exception types can explicitly state what their recovery preference is. In the meanwhile, I think we could get pretty far by hard-coding some rules about standard exception types, and making an assumption about all custom exception types (e.g., they * should* be caught by a "catch all exceptions" call). If we combine these two ideas, we could have a new package on Hackage which defines the right set of tags and provides a `tagsOf` function which works on any instance of Exception, which uses the assumptions I mentioned in the previous paragraph. If it's then decided that this is generally useful enough to be included in the Exception typeclass, we have a straightforward migration path: 1. Add the new method to the Exception typeclass, with a default implementation that conforms with our assumptions. 2. For any of the special standard exception types (e.g., AsyncException), override that default implementation. 3. Modify the external package to simply re-export the new method when using newer versions of base, using conditional compilation. 4. Any code written against that external package would work with both current and future versions of base. 5. The only incompatibility would be if someone writes code which overrides the typeclass method; that code would only work with newer bases, not current ones. Any thoughts on this? I'm not sure exactly what would be the right method to add to the Exception typeclass, but if we can come to consensus on that and there are no major objections to my separate package proposal, I think this would be something moving forward on, including a library proposal. Michael

Michael Snoyman
Any thoughts on this? I'm not sure exactly what would be the right method to add to the Exception typeclass, but if we can come to consensus on that and there are no major objections to my separate package proposal, I think this would be something moving forward on, including a library proposal.
Just a minor note: Add both `hasTag` and `tagsOf` to the type class,
because `hasTag` may use something much more efficient than `elem` like
pattern matching or `Data.Set.member`. I'm not even sure we really need
`tagsOf`.
Greets,
Ertugrul
--
Key-ID: E5DD8D11 "Ertugrul Soeylemez

Hi Michael,
I don't think those are particularly niche cases, but I still think this is
a bad approach to solving the problem. My reply to Erik explicitly covers
the worker thread case, and for running arbitrary user code (as in your top
line) it's even simpler: just fork a new thread for the user code. You can
use the async package or similar to wrap this, so it doesn't even add any
LOCs.
What I think is particularly niche is not being able to afford the cost of
another fork, but I strongly doubt that's the case for Warp.
The reason I think this is a bad design is twofold: first maintaining a
list of exclusions like this (whether it's consolidated in a function or
part of the exception instance) seems rather error-prone and increases the
maintenance burden for very little benefit IMHO.
Besides, it's still not correct. What if you're running arbitrary user
code that forks its own threads? Then that code's main thread could get a
BlockedIndefinitelyOnMVar exception that really shouldn't escape the user
code, but with this approach it'll kill your worker thread anyway. Or even
malicious/brain-damaged code that does myThreadId >>= killThread?
I like Ertugrul's suggestion though. It wouldn't fix this issue, but it
would add a lot more flexibility to exceptions.
On Wed, Jul 10, 2013 at 6:44 PM, Michael Snoyman
On Wed, Jul 10, 2013 at 1:01 PM, John Lato
wrote: On Wed, Jul 10, 2013 at 5:02 PM, Erik Hesselink
wrote: On Wed, Jul 10, 2013 at 10:39 AM, John Lato
wrote: I think 'shouldBeCaught' is more often than not the wrong thing. A whitelist of exceptions you're prepared to handle makes much more sense than excluding certain operations. Some common whitelists, e.g. filesystem exceptions or network exceptions, might be useful to have.
You'd think that, but there are common use cases. For example, if you have a queue of work items, and a thread (or threads) processing them, it is useful to catch all exceptions of these threads. You can then log the exception, remove the item from the queue and put it in some error bucket, and continue on to the next item. The same goes for e.g. socket listening threads etc.
The thing here is that you are *not* actually handling the specific exception, but instead failing gracefully. But you still want to be able to kill the worker threads, and you don't want to handle exceptions that you cannot recover from even by moving on to the next work item.
I think that's a particularly niche use case. We have some similar code, and our approach is to have the thread re-throw (or terminate) after logging the exception. There's a separate thread that monitors the thread pool, and when threads die new ones are spawned to take their place (unless the thread pool is shutting down, of course). Spawning a new thread only happens on an exception and it's cheap anyway, so there's no performance issue.
As Haskell currently stands trying to sort out thread-control and fatal-for-real exceptions from other exceptions seems rather fiddly, unreliable, and prone to change between versions, so I think it's best avoided. If there were a standard library function to do it I might use it, but I wouldn't want to maintain it.
Maybe I'm just always working on niche cases then, because I run into this problem fairly regularly. Almost any time you want to write a library that will run code it doesn't entirely trust, this situation arises. Examples include:
- Writing a web server (like Warp) which can run arbitrary user code. Warp must fail gracefully if the user code throws an exception, without bringing down the entire server thread. - Writing some kind of batch processing job which uses any library which may throw an exception. A white list approach would not be sufficient here, since we want to be certain that any custom exception types have been caught. - A system which uses worker threads to do much of its work. You want to make certain the worker threads don't unexpectedly die because some exception was thrown that you were not aware could be thrown. I use this technique extensively in Keter, and in fact some work I'm doing on that code base now is what triggered this email.
I think that, overall, Ertugrul's suggestion is probably the right one: we should be including richer information in the `Exception` typeclass so that there's no guessing involved, and any custom exception types can explicitly state what their recovery preference is. In the meanwhile, I think we could get pretty far by hard-coding some rules about standard exception types, and making an assumption about all custom exception types (e.g., they * should* be caught by a "catch all exceptions" call).
If we combine these two ideas, we could have a new package on Hackage which defines the right set of tags and provides a `tagsOf` function which works on any instance of Exception, which uses the assumptions I mentioned in the previous paragraph. If it's then decided that this is generally useful enough to be included in the Exception typeclass, we have a straightforward migration path:
1. Add the new method to the Exception typeclass, with a default implementation that conforms with our assumptions. 2. For any of the special standard exception types (e.g., AsyncException), override that default implementation. 3. Modify the external package to simply re-export the new method when using newer versions of base, using conditional compilation. 4. Any code written against that external package would work with both current and future versions of base. 5. The only incompatibility would be if someone writes code which overrides the typeclass method; that code would only work with newer bases, not current ones.
Any thoughts on this? I'm not sure exactly what would be the right method to add to the Exception typeclass, but if we can come to consensus on that and there are no major objections to my separate package proposal, I think this would be something moving forward on, including a library proposal.
Michael

On Thu, Jul 11, 2013 at 3:44 AM, John Lato
Hi Michael,
I don't think those are particularly niche cases, but I still think this is a bad approach to solving the problem. My reply to Erik explicitly covers the worker thread case, and for running arbitrary user code (as in your top line) it's even simpler: just fork a new thread for the user code. You can use the async package or similar to wrap this, so it doesn't even add any LOCs.
What I think is particularly niche is not being able to afford the cost of another fork, but I strongly doubt that's the case for Warp.
The reason I think this is a bad design is twofold: first maintaining a list of exclusions like this (whether it's consolidated in a function or part of the exception instance) seems rather error-prone and increases the maintenance burden for very little benefit IMHO.
Besides, it's still not correct. What if you're running arbitrary user code that forks its own threads? Then that code's main thread could get a BlockedIndefinitelyOnMVar exception that really shouldn't escape the user code, but with this approach it'll kill your worker thread anyway. Or even malicious/brain-damaged code that does myThreadId >>= killThread?
I like Ertugrul's suggestion though. It wouldn't fix this issue, but it would add a lot more flexibility to exceptions.
I've spent some time thinking about this, and I'm beginning to think the separate thread approach is in fact the right way to solve this. I think there's really an important distinction to be made that we've all gotten close to, but not specifically identified: the exception type itself isn't really what we're interested, it's how that exception was thrown which is interesting. I've put together an interesting demonstration[1]. The test I've created is that a worker thread is spawned. In the worker thread, we run an action and wrap it in a "tryAll" function. Meanwhile, in the main thread, we try to read a file and, when it fails, throw that IOException to the worker thread. In this case, we want the worker thread to halt execution immediately. With the naive try implementation (tryAll1) this will clearly not happen, since the async exception will be caught as if the subaction itself threw the exception. The more intelligent tryAll3 does the same thing, since it is viewing the thrown exception as synchronous based on its type, when in reality it was thrown as an async exception.[2] The only approach that handles the situation correctly is John's separate thread approach (tryAll3). The reason is that it is properly differentiating based on how the exception was thrown. I'm going to play around with this a bit more; in particular, I want to see how this works with monad transformer stacks. But I at least feel like I have a slightly better conceptual grasp on what's going on here. Thanks for pointing this out John. Michael [1] https://gist.github.com/snoyberg/5975592 [2] You could also do the reverse: thrown an async exception synchronously, and similarly get misleading results.

On Thu, Jul 11, 2013 at 6:07 PM, Felipe Almeida Lessa < felipe.lessa@gmail.com> wrote:
On Thu, Jul 11, 2013 at 10:56 AM, Michael Snoyman
wrote: The only approach that handles the situation correctly is John's separate thread approach (tryAll3).
I think you meant "tryAll2" here. Got me confused for some time =).
Cheers,
-- Felipe.
Doh, yes, I did, thanks for the clarification. After playing around with this a bit, I was able to get an implementation of try, catch, and handle which work for any non-async exception, in monad transformers which are instances of MonadBaseControl (from monad-control). I'll try to write up my thoughts in something more coherent, likely a blog post. Michael

I agree that how the exception was thrown is more interesting than the
type. I feel like there should be a way to express the necessary
information via the type system, but I'm not convinced it's easy (or even
possible).
Another issue to be aware of is that exceptions can be thrown from pure
code, so if you don't fully evaluate your return value an exception can be
thrown later, outside the catch block. In practice this usually means an
NFData constraint, or some other constraint for which you can guarantee
evaluation.
In the past I've been pretty vocal about my opposition to exceptions. It's
still my opinion that they do not make it easy to reason about exceptional
conditions. Regardless, as Haskell has them and uses them, I'd like to see
improvements if possible. So if anyone is exploring the design space, I'd
be willing to participate.
On Fri, Jul 12, 2013 at 12:57 AM, Michael Snoyman
On Thu, Jul 11, 2013 at 6:07 PM, Felipe Almeida Lessa < felipe.lessa@gmail.com> wrote:
On Thu, Jul 11, 2013 at 10:56 AM, Michael Snoyman
wrote: The only approach that handles the situation correctly is John's separate thread approach (tryAll3).
I think you meant "tryAll2" here. Got me confused for some time =).
Cheers,
-- Felipe.
Doh, yes, I did, thanks for the clarification.
After playing around with this a bit, I was able to get an implementation of try, catch, and handle which work for any non-async exception, in monad transformers which are instances of MonadBaseControl (from monad-control). I'll try to write up my thoughts in something more coherent, likely a blog post.
Michael

When I implemented this stuff yesterday, I included `Deep` variants for
each function which used NFData. I'm debating whether I think the right
recommendation is to, by default, use the `async`/NFData versions of catch,
handle, and try, or to have them as separate functions.
I wrote up the blog post, both on the Yesod blog[1] and School of
Haskell[2]. The latter's a bit easier to use since it includes active code
snippets.
[1] http://www.yesodweb.com/blog/2013/07/catching-all-exceptions
[2]
https://www.fpcomplete.com/user/snoyberg/general-haskell/exceptions/catching...
On Fri, Jul 12, 2013 at 4:03 AM, John Lato
I agree that how the exception was thrown is more interesting than the type. I feel like there should be a way to express the necessary information via the type system, but I'm not convinced it's easy (or even possible).
Another issue to be aware of is that exceptions can be thrown from pure code, so if you don't fully evaluate your return value an exception can be thrown later, outside the catch block. In practice this usually means an NFData constraint, or some other constraint for which you can guarantee evaluation.
In the past I've been pretty vocal about my opposition to exceptions. It's still my opinion that they do not make it easy to reason about exceptional conditions. Regardless, as Haskell has them and uses them, I'd like to see improvements if possible. So if anyone is exploring the design space, I'd be willing to participate.
On Fri, Jul 12, 2013 at 12:57 AM, Michael Snoyman
wrote: On Thu, Jul 11, 2013 at 6:07 PM, Felipe Almeida Lessa < felipe.lessa@gmail.com> wrote:
On Thu, Jul 11, 2013 at 10:56 AM, Michael Snoyman
wrote: The only approach that handles the situation correctly is John's separate thread approach (tryAll3).
I think you meant "tryAll2" here. Got me confused for some time =).
Cheers,
-- Felipe.
Doh, yes, I did, thanks for the clarification.
After playing around with this a bit, I was able to get an implementation of try, catch, and handle which work for any non-async exception, in monad transformers which are instances of MonadBaseControl (from monad-control). I'll try to write up my thoughts in something more coherent, likely a blog post.
Michael

Hi Michael,
We do this as well. In addition to AsyncException, we ignore
BlockedIndefinitelyOnSTM, BlockedIndefinitelyOnMVar and Deadlock. I'm
not sure you can ignore Timeout, since the type is not exported from
System.Timeout. I'm not sure how to classify these, though. They are
in some sense non-recoverable: restarting whatever the thread was
doing is not the right thing to do.
Erik
On Wed, Jul 10, 2013 at 8:28 AM, Michael Snoyman
There's a pattern that arises fairly often: catching every exception thrown by code. The naive approach is to do something like:
result <- try someCode case result of Left (e :: SomeException) -> putStrLn $ "It failed: " ++ show e Right realValue -> useRealValue
This seems perfectly valid, except that it catches a number of exceptions which seemingly should not be caught. In particular, it catches the async exceptions used by both killThread and timeout.
I think it's fair to say that there's not going to be a single function that solves all cases correctly, but it is a common enough situation that people need to write code that resumes work in the case of an exception that I think we need to either have some guidelines for the right approach here, or perhaps even a utility function along the lines of:
shouldBeCaught :: SomeException -> Bool
One first stab at such a function would be to return `False` for AsyncException and Timeout, and `True` for everything else, but I'm not convinced that this is sufficient. Are there any thoughts on the right approach to take here?
_______________________________________________ Haskell-Cafe mailing list Haskell-Cafe@haskell.org http://www.haskell.org/mailman/listinfo/haskell-cafe

Don´t tried it and probably it does not even compile, but a possibility
could be along these lines:
catchExcept excepts handle e= do
if not . null $ filter ( \(SomeException e') -> typeOf e= typeOf e')
excepts
then throw e
else handle e
use:
u= undefined
excluded= [SomeException (u :: AsyncException), SomeException (u
::ArithException)]
sample= expr `catchExcept` excluded $ do
....
....
2013/7/10 Erik Hesselink
Hi Michael,
We do this as well. In addition to AsyncException, we ignore BlockedIndefinitelyOnSTM, BlockedIndefinitelyOnMVar and Deadlock. I'm not sure you can ignore Timeout, since the type is not exported from System.Timeout. I'm not sure how to classify these, though. They are in some sense non-recoverable: restarting whatever the thread was doing is not the right thing to do.
Erik
There's a pattern that arises fairly often: catching every exception
by code. The naive approach is to do something like:
result <- try someCode case result of Left (e :: SomeException) -> putStrLn $ "It failed: " ++ show e Right realValue -> useRealValue
This seems perfectly valid, except that it catches a number of exceptions which seemingly should not be caught. In particular, it catches the async exceptions used by both killThread and timeout.
I think it's fair to say that there's not going to be a single function
solves all cases correctly, but it is a common enough situation that
On Wed, Jul 10, 2013 at 8:28 AM, Michael Snoyman
wrote: thrown that people need to write code that resumes work in the case of an exception that I think we need to either have some guidelines for the right approach here, or perhaps even a utility function along the lines of:
shouldBeCaught :: SomeException -> Bool
One first stab at such a function would be to return `False` for AsyncException and Timeout, and `True` for everything else, but I'm not convinced that this is sufficient. Are there any thoughts on the right approach to take here?
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-- Alberto.

I think that new SomeAsyncException type in base is supposed to make
it possible to ignore all asynchronous exceptions.
https://github.com/ghc/packages-base/blob/master/GHC/IO/Exception.hs#L113
On Wed, 10 Jul 2013 09:28:12 +0300 Michael Snoyman
There's a pattern that arises fairly often: catching every exception thrown by code. The naive approach is to do something like:
result <- try someCode case result of Left (e :: SomeException) -> putStrLn $ "It failed: " ++ show e Right realValue -> useRealValue
This seems perfectly valid, except that it catches a number of exceptions which seemingly should *not* be caught. In particular, it catches the async exceptions used by both killThread and timeout.
I think it's fair to say that there's not going to be a single function that solves all cases correctly, but it is a common enough situation that people need to write code that resumes work in the case of an exception that I think we need to either have some guidelines for the right approach here, or perhaps even a utility function along the lines of:
shouldBeCaught :: SomeException -> Bool
One first stab at such a function would be to return `False` for AsyncException and Timeout, and `True` for everything else, but I'm not convinced that this is sufficient. Are there any thoughts on the right approach to take here?
participants (7)
-
Alberto G. Corona
-
Erik Hesselink
-
Ertugrul Söylemez
-
Felipe Almeida Lessa
-
John Lato
-
kudah
-
Michael Snoyman