Find out where the error happened in Clojure - clojure

For the most part I understand what Clojure is telling me with it's error messages. But I am still clueless as to find out where the error happened.
Here is an example of what I mean
(defn extract [m]
(keys m))
(defn multiple [xs]
(map #(* 2 %) xs))
(defn process [xs]
(-> xs
(multiple) ; seq -> seq
(extract))) ; map -> seq ... fails
(process [1 2 3])
Statically typed languages would now tell me that I tried to pass a sequence to a function that expects a map on line X. And Clojure does this in a way:
ClassCastException java.lang.Long cannot be cast to java.util.Map$Entry
But I still have no idea where the error happened. Obviously for this instance it's easy because there are just 3 functions involved, you can easily just read through all of them but as programs grow bigger this gets old very quickly.
Is there a way find out where the errors happened other than just proof reading the code from top to bottom? (which is my current approach)

You can use clojure.spec. It is still in alpha, and there's still a bunch of tooling support coming (hopefully), but instrumenting functions works well.
(ns foo.core
(:require
;; For clojure 1.9.0-alpha16 and higher, it is called spec.alpha
[clojure.spec.alpha :as s]
[clojure.spec.test.alpha :as stest]))
;; Extract takes a map and returns a seq
(s/fdef extract
:args (s/cat :m map?)
:ret seq?)
(defn extract [m]
(keys m))
;; multiple takes a coll of numbers and returns a coll of numbers
(s/fdef multiple
:args (s/cat :xs (s/coll-of number?))
:ret (s/coll-of number?))
(defn multiple [xs]
(map #(* 2 %) xs))
(defn process [xs]
(-> xs
(multiple) ; seq -> seq
(extract))) ; map -> seq ... fails
;; This needs to come after the definition of the specs,
;; but before the call to process.
;; This is something I imagine can be handled automatically
;; by tooling at some point.
(stest/instrument)
;; The println is to force evaluation.
;; If not it wouldn't run because it's lazy and
;; not used for anything.
(println (process [1 2 3]))
Running this file prints (among other info):
Call to #'foo.core/extract did not conform to spec: In: [0] val: (2
4 6) fails at: [:args :m] predicate: map? :clojure.spec.alpha/spec
#object[clojure.spec.alpha$regex_spec_impl$reify__1200 0x2b935f0d
"clojure.spec.alpha$regex_spec_impl$reify__1200#2b935f0d"]
:clojure.spec.alpha/value ((2 4 6)) :clojure.spec.alpha/args ((2 4
6)) :clojure.spec.alpha/failure :instrument
:clojure.spec.test.alpha/caller {:file "core.clj", :line 29,
:var-scope foo.core/process}
Which can be read as: A call to exctract failed because the value passed in (2 4 6) failed the predicate map?. That call happened in the file "core.clj" at line 29.
A caveat that trips people up is that instrument only checks function arguments and not return values. This is a (strange if you ask me) design decision from Rich Hickey. There's a library for that, though.

If you have a REPL session you can print a stack trace:
(clojure.stacktrace/print-stack-trace *e 30)
See http://puredanger.github.io/tech.puredanger.com/2010/02/17/clojure-stack-trace-repl/ for various different ways of printing the stack trace. You will need to have a dependency such as this in your project.clj:
[org.clojure/tools.namespace "0.2.11"]
I didn't get a stack trace using the above method, however just typing *e at the REPL will give you all the available information about the error, which to be honest didn't seem very helpful.
For the rare cases where the stack trace is not helpful I usually debug using a call to a function that returns the single argument it is given, yet has the side effect of printing that argument. I happen to call this function probe. In your case it can be put at multiple places in the threading macro.

Re-typing your example I have:
(defn extract [m]
(keys m))
(defn multiply [xs]
(mapv #(* 2 %) xs))
(defn process [xs]
(-> xs
(multiply) ; seq -> seq
(extract))) ; map -> seq ... fails ***line 21***
(println (process [1 2 3]))
;=> java.lang.ClassCastException: java.lang.Long cannot be cast
to java.util.Map$Entry, compiling:(tst/clj/core.clj:21:21)
So we get a good clue in the exception where is says the file and line/col number tst.clj.core.clj:21:21 that the extract method is the problem.
Another indispensible tool I use is Plumatic Schema to inject "gradual" type checking into clojure. The code becomes:
(ns tst.clj.core
(:use clj.core tupelo.test)
(:require
[tupelo.core :as t]
[tupelo.schema :as tsk]
[schema.core :as s]))
(t/refer-tupelo)
(t/print-versions)
(s/defn extract :- [s/Any]
[m :- tsk/Map]
(keys m))
(s/defn multiply :- [s/Num]
[xs :- [s/Num]]
(mapv #(* 2 %) xs))
(s/defn process :- s/Any
[xs :- [s/Num]]
(-> xs
(multiply) ; seq -> seq
(extract))) ; map -> seq ... fails
(println (process [1 2 3]))
clojure.lang.ExceptionInfo: Input to extract does not match schema:
[(named (not (map? [2 4 6])) m)] {:type :schema.core/error, :schema [#schema.core.One{:schema {Any Any},
:optional? false, :name m}],
:value [[2 4 6]], :error [(named (not (map? [2 4 6])) m)]},
compiling:(tst/clj/core.clj:23:17)
So, while the format of the error message is a bit lengthy, it tells right away that we passed a parameter of the wrong type and/or shape into the method extract.
Note that you need a line like this:
(s/set-fn-validation! true) ; enforce fn schemas
I create a special file test/tst/clj/_bootstrap.clj so it is always in the same place.
For more information on Plumatic Schema please see:
https://github.com/plumatic/schema
https://youtu.be/o_jtwIs2Ot8
https://github.com/plumatic/schema/wiki/Basics-Examples
https://github.com/plumatic/schema/wiki/Defining-New-Schema-Types-1.0

Related

How do you use an existing vector of predicates with :post conditions in Clojure?

Given that :post takes a form that gets evaluated later (e.g. {:post [(= 10 %)]}). How could one dynamically pass a 'pre-made' vector of functions to :post?
For example:
(def my-post-validator
[prediate1 predicate2 predicate3])
(defn foo [x]
{:post my-post-validator}
x)
this throws a syntax error
Don't know how to create ISeq from: clojure.lang.Symbol
With my fuzzy understanding, it's because defn is a macro, and the thing that allows the % syntax in :post is that it's quoted internally..?
I thought maybe I then use a macro to pass a 'literal' of what I wanted evaluated
(defmacro my-post-cond [spec]
'[(assert spec %) (predicate2 %) (predicate n)])
example:
(defn foo [x]
{:post (my-post-cond :what/ever)}
x)
However, this attempt gives the error:
Can't take value of a macro
Is there a way to pass a vector of things to :post rather than having to define it inline?
You can't pass a vector of predefined predicates, but you can combine multiple predicates under a single name and use that name in :post:
(defn my-post-cond [spec val]
(and
;; Not sure if this is exactly what you want,
;; given that `val` becomes an assert message.
(assert spec val)
(predicate2 val)
;; You used `n` - I assume it was supposed to be `%`.
(predicate val)))
(defn foo [x]
{:post [(my-post-cond :what/ever %)]}
x)
I started off as a fan of pre- and post-conditions, but I've changed over the years.
For simple things, I prefer to use Plumatic Schema to not only test inputs & outputs, but to document them as well.
For more complicated tests & verifications, I just put in an explicit assert or similar. I also wrote a helper function in the Tupelo library to reduce repetition, etc when debugging or verifying return values:
(ns tst.demo.core
(:use tupelo.core tupelo.test))
(defn oddly
"Transforms its input. Throws if result is not odd"
[x]
(let [answer (-> x (* 3) (+ 2))]
(with-result answer
(newline)
(println :given x)
(assert (odd? answer))
(println :returning answer))))
(dotest
(is= 5 (oddly 1))
(throws? (oddly 2)))
with result
------------------------------------
Clojure 1.10.3 Java 11.0.11
------------------------------------
Testing tst.demo.core
:given 1
:returning 5
:given 2
Ran 2 tests containing 2 assertions.
0 failures, 0 errors.
Passed all tests
So with either the println or assert, the returned value is easy to see. If it fails the assert, an Exception is thrown as normal.

Can an echo program in Clojure be built with lazy infinite sequences?

Take the following program as an example:
(defn echo-ints []
(doseq [i (->> (BufferedReader. *in*)
(line-seq)
(map read-string)
(take-while integer?))]
(println i)))
The idea is to prompt the user for input and then echo it back if it's an integer. However, in this particular program almost every second input won't be echoed immediately. Instead the program will wait for additional input before processing two inputs at once.
Presumably this a consequence of some performance tweaks happening behind the scenes. However in this instance I'd really like to have an immediate feedback loop. Is there an easy way to accomplish this, or does the logic of the program have to be significantly altered?
(The main motivation here is to pass the infinite sequence of user inputs to another function f that transforms lazy sequences to other lazy sequences. If I wrote some kind of while-loop, I wouldn't be able to use f.)
It is generally not good to mix lazyness with side-effect (printing in this case), since most sequence functions have built-in optimizations that cause unintended effects while still being functionally correct.
Here's a good write up: https://stuartsierra.com/2015/08/25/clojure-donts-lazy-effects
What you are trying to do seems like a good fit for core.async channels. I would think as the problem as 'a stream of user input' instead of 'infinite sequence of user inputs', and 'f transforms lazy sequences to lazy sequences' becomes 'f transform a stream into another stream'. This will allow you to write f as transducers which you can arbitrarily compose.
I would do it like the following. Note we use spyx and spyxx from the Tupelo library to display some results.
First, write a simple version with canned test data:
(ns tst.demo.core
(:use tupelo.test)
(:require
[tupelo.core :as t] )
(:import [java.io BufferedReader StringReader]))
(t/refer-tupelo)
(def user-input
"hello
there
and
a
1
and-a
2
and
a
3.14159
and-a
4
bye" )
(defn echo-ints
[str]
(let [lines (line-seq (BufferedReader. (StringReader. str)))
data (map read-string lines)
nums (filter integer? data) ]
(doseq [it data]
(spyxx it))
(spyx nums)))
(newline)
(echo-ints user-input)
This gives us the results:
it => <#clojure.lang.Symbol hello>
it => <#clojure.lang.Symbol there>
it => <#clojure.lang.Symbol and>
it => <#clojure.lang.Symbol a>
it => <#java.lang.Long 1>
it => <#clojure.lang.Symbol and-a>
it => <#java.lang.Long 2>
it => <#clojure.lang.Symbol and>
it => <#clojure.lang.Symbol a>
it => <#java.lang.Double 3.14159>
it => <#clojure.lang.Symbol and-a>
it => <#java.lang.Long 4>
it => <#clojure.lang.Symbol bye>
nums => (1 2 4)
So, we see that it works and gives us the numbers we want.
Next, write a looping version. We make it terminate gracefully when our test data runs out.
(defn echo-ints-loop
[str]
(loop [lines (line-seq (BufferedReader. (StringReader. str)))]
(let [line (first lines)
remaining (rest lines)
data (read-string line)]
(when (integer? data)
(println "found:" data))
(when (not-empty? remaining)
(recur remaining)))))
(newline)
(echo-ints-loop user-input)
found: 1
found: 2
found: 4
Next, we write an infinite loop to read the keyboard. You need to terminate this one with CRTL-C at the keyboard:
(ns demo.core
(:require [tupelo.core :as t])
(:import [java.io BufferedReader StringReader]))
(t/refer-tupelo)
(defn echo-ints-inf
[]
(loop [lines (line-seq (BufferedReader. *in*))]
(let [line (first lines)
remaining (rest lines)
data (read-string line)]
(when (integer? data)
(println "found:" data))
(when (not-empty? remaining)
(recur remaining)))))
(defn -main []
(println "main - enter")
(newline)
(echo-ints-inf))
And we run it manually:
~/clj > lein run
main - enter
hello
there
1
found: 1
and
a
2
found: 2
and-a
3
found: 3
further more
4
found: 4
^C
~/clj >
~/clj >

For loop not working inside midje test?

Found some odd behavior in midje, not sure if it's midje related, or due to my misunderstanding of some clojure constructs, but it's puzzling:
Inside a facts statement, a for loop is not getting called:
(ns t1
(:require [midje.sweet :refer :all ] )
)
(facts
(println "ok") ; -- this prints fine
(for [val '(1 2 3)] (println val)) ; this does not
(fact "junk"
(> (.length "aaaaha") 3) => true ))
Thought maybe it had something to do with the for being overwritten in the ns but calling clojure.core/for behaves similarly.
clojure.core/for "...yields a lazy sequence..."
You need to realize the sequence to see its side effects.
(doall (for [val '(1 2 3)] (println val)))
I'd suggest using something more appropriate like clojure.core/doseq:
(doseq [val '(1 2 3)] (println val))

DSL syntax with optional parameters

I'm trying to handle following DSL:
(simple-query
(is :category "car/audi/80")
(is :price 15000))
that went quite smooth, so I added one more thing - options passed to the query:
(simple-query {:page 1 :limit 100}
(is :category "car/audi/80")
(is :price 15000))
and now I have a problem how to handle this case in most civilized way. as you can see simple-query may get hash-map as a first element (followed by long list of criteria) or may have no hash-mapped options at all. moreover, I would like to have defaults as a default set of options in case when some (or all) of them are not provided explicite in query.
this is what I figured out:
(def ^{:dynamic true} *defaults* {:page 1
:limit 50})
(defn simple-query [& body]
(let [opts (first body)
[params criteria] (if (map? opts)
[(merge *defaults* opts) (rest body)]
[*defaults* body])]
(execute-query params criteria)))
I feel it's kind of messy. any idea how to simplify this construction?
To solve this problem in my own code, I have a handy function I'd like you to meet... take-when.
user> (defn take-when [pred [x & more :as fail]]
(if (pred x) [x more] [nil fail]))
#'user/take-when
user> (take-when map? [{:foo :bar} 1 2 3])
[{:foo :bar} (1 2 3)]
user> (take-when map? [1 2 3])
[nil [1 2 3]]
So we can use this to implement a parser for your optional map first argument...
user> (defn maybe-first-map [& args]
(let [defaults {:foo :bar}
[maybe-map args] (take-when map? args)
options (merge defaults maybe-map)]
... ;; do work
))
So as far as I'm concerned, your proposed solution is more or less spot on, I would just clean it up by factoring out parser for grabbing the options map (here into my take-when helper) and by factoring out the merging of defaults into its own binding statement.
As a general matter, using a dynamic var for storing configurations is an antipattern due to potential missbehavior when evaluated lazily.
What about something like this?
(defn simple-query
[& body]
(if (map? (first body))
(execute-query (merge *defaults* (first body)) (rest body))
(execute-query *defaults* body)))

What is the difference between the reader monad and a partial function in Clojure?

Leonardo Borges has put together a fantastic presentation on Monads in Clojure. In it he describes the reader monad in Clojure using the following code:
;; Reader Monad
(def reader-m
{:return (fn [a]
(fn [_] a))
:bind (fn [m k]
(fn [r]
((k (m r)) r)))})
(defn ask [] identity)
(defn asks [f]
(fn [env]
(f env)))
(defn connect-to-db []
(do-m reader-m
[db-uri (asks :db-uri)]
(prn (format "Connected to db at %s" db-uri))))
(defn connect-to-api []
(do-m reader-m
[api-key (asks :api-key)
env (ask)]
(prn (format "Connected to api with key %s" api-key))))
(defn run-app []
(do-m reader-m
[_ (connect-to-db)
_ (connect-to-api)]
(prn "Done.")))
((run-app) {:db-uri "user:passwd#host/dbname" :api-key "AF167"})
;; "Connected to db at user:passwd#host/dbname"
;; "Connected to api with key AF167"
;; "Done."
The benefit of this is that you're reading values from the environment in a purely functional way.
But this approach looks very similar to the partial function in Clojure. Consider the following code:
user=> (def hundred-times (partial * 100))
#'user/hundred-times
user=> (hundred-times 5)
500
user=> (hundred-times 4 5 6)
12000
My question is: What is the difference between the reader monad and a partial function in Clojure?
The reader monad is a set of rules we can apply to cleanly compose readers. You could use partial to make a reader, but it doesn't really give us a way to put them together.
For example, say you wanted a reader that doubled the value it read. You might use partial to define it:
(def doubler
(partial * 2))
You might also want a reader that added one to whatever value it read:
(def plus-oner
(partial + 1))
Now, suppose you wanted to combine these guys in a single reader that adds their results. You'll probably end up with something like this:
(defn super-reader
[env]
(let [x (doubler env)
y (plus-oner env)]
(+ x y)))
Notice that you have to explicitly forward the environment to those readers. Total bummer, right? Using the rules provided by the reader monad, we can get much cleaner composition:
(def super-reader
(do-m reader-m
[x doubler
y plus-oner]
(+ x y)))
You can use partial to "do" the reader monad. Turn let into a do-reader by doing syntactic transformation on let with partial application of the environment on the right-hand side.
(defmacro do-reader
[bindings & body]
(let [env (gensym 'env_)
partial-env (fn [f] (list `(partial ~f ~env)))
bindings* (mapv #(%1 %2) (cycle [identity partial-env]) bindings)]
`(fn [~env] (let ~bindings* ~#body))))
Then do-reader is to the reader monad as let is to the identity monad (relationship discussed here).
Indeed, since only the "do notation" application of the reader monad was used in Beyamor's answer to your reader monad in Clojure question, the same examples will work as is with m/domonad Reader replaced with do-reader as above.
But, for the sake of variety I'll modify the first example to be just a bit more Clojurish with the environment map and take advantage of the fact that keywords can act as functions.
(def sample-bindings {:count 3, :one 1, :b 2})
(def ask identity)
(def calc-is-count-correct?
(do-reader [binding-count :count
bindings ask]
(= binding-count (count bindings))))
(calc-is-count-correct? sample-bindings)
;=> true
Second example
(defn local [modify reader] (comp reader modify))
(def calc-content-len
(do-reader [content ask]
(count content)))
(def calc-modified-content-len
(local #(str "Prefix " %) calc-content-len))
(calc-content-len "12345")
;=> 5
(calc-modified-content-len "12345")
;=> 12
Note since we built on let, we still have destructing at our disposal. Silly example:
(def example1
(do-reader [a :foo
b :bar]
(+ a b)))
(example1 {:foo 2 :bar 40 :baz 800})
;=> 42
(def example2
(do-reader [[a b] (juxt :foo :bar)]
(+ a b)))
(example2 {:foo 2 :bar 40 :baz 800})
;=> 42
So, in Clojure, you can indeed get the functionality of the do notation of reader monad without introducing monads proper. Analagous to doing a ReaderT transform on the identity monad, we can do a syntactic transformation on let. As you surmised, one way to do so is with partial application of the environment.
Perhaps more Clojurish would be to define a reader-> and reader->> to syntactically insert the environment as the second and last argument respectively. I'll leave those as an exercise for the reader for now.
One take-away from this is that while types and type-classes in Haskell have a lot of benefits and the monad structure is a useful idea, not having the constraints of the type system in Clojure allows us to treat data and programs in the same way and do arbitrary transformations to our programs to implement syntax and control as we see fit.