jstreams 1.0.11

A package providing streams and optional functionality similar to Java streams and optionals.

jstreams

jstreams is a Python library aiming to replicate the Java Streams and Optional functionality. The library is implemented with type safety in mind.

Installation

Use the package manager pip to install jstream.

pip install jstreams

Usage

Streams

from jstreams import Stream

# Applies a mapping function on each element then produces a new string
print(Stream(["Test", "Best", "Lest"]).map(str.upper).collect())
# will output ["TEST", "BEST", "LEST"]

# Filter the stream elements
print(Stream(["Test", "Best", "Lest"])
            .filter(lambda s: s.startswith("T"))
            .collect())
# Will output ['Test']

# isNotEmpty checks if the stream is empty
print(Stream(["Test", "Best", "Lest"])
            .filter(lambda s: s.startswith("T"))
            .isNotEmpty())
# Will output True

# Checks if all elements match a given condition
print(Stream(["Test", "Best", "Lest"]).allMatch(lambda s: s.endswith("est")))
# Will output True

print(Stream(["Test", "Best", "Lest"]).allMatch(lambda s: s.startswith("T")))
# Will output False

# Checks if any element matches a given condition
print(Stream(["Test", "Best", "Lest"]).anyMatch(lambda s: s.startswith("T")))
# Will output True

# Checks if no elements match the given condition
print(Stream(["Test", "Best", "Lest"]).noneMatch(lambda s: s.startswith("T")))
# Will output False

# Gets the first value of the stream as an Opt (optional object)
print(Stream(["Test", "Best", "Lest"])
            .findFirst(lambda s: s.startswith("L"))
            .getActual())
# Will output "Lest"

# Returns the first element in the stream
print(Stream(["Test", "Best", "Lest"]).first())
# Will output "Test"

# cast casts the elements to a different type. Useful if you have a stream
# of base objects and want to get only those of a super class
print(Stream(["Test1", "Test2", 1, 2])
            .filter(lambda el: el == "Test1")
            # Casts the filtered elements to the given type
            .cast(str)
            .first())
# Will output "Test1"

# If the stream elements are Iterables, flatMap will produce a list of all contained items
print(Stream([["a", "b"], ["c", "d"]]).flatMap(list).toList())
# Will output ["a", "b", "c", "d"]

# reduce will produce a single value, my applying the comparator function given as parameter
# in order to decide which value is higher. The comparator function is applied on subsequent elements
# and only the 'highest' one will be kept
print(Stream([1, 2, 3, 4, 20, 5, 6]).reduce(max).getActual())
# Will output 20

# notNull returns a new stream containing only non null elements
print(Stream(["A", None, "B", None, None, "C", None, None]).nonNull().toList())
# Will output ["A", "B", "C"]

Opt

from jstreams import Opt

# Checks if the value given is present
Opt(None).isPresent() # Will return False
Opt("test").isPresent() # Will return True


# There are two ways of getting the value from the Opt object. The get returns a non optional
# value and  will raise a value error if the object is None. On the other hand, getActual returns
# an optional object and does not raise a value error
Opt("test").get() # Does not fail, and returns the string "test"
Opt(None).get() # Raises ValueError since None cannot be casted to any type
Opt(None).getActual() # Returns None, does not raise value error

# The ifPresent method will execute a lambda function if the object is present
Opt("test").ifPresent(lambda s: print(s)) # Will print "test"
Opt(None).ifPresent(lambda s: print(s)) # Does nothing, since the object is None

# The getOrElse method will return the value of the Opt if not None, otherwise the given parameter
Opt("test").getOrElse("test1") # Will return "test", since the value is not None
Opt(None).getOrElse("test1") # Will return "test1", since the value is  None

# The getOrElseGet method will return the value of the Opt if not None, otherwise it will execute 
# the given function and return its value
Opt("test").getOrElseGet(lambda: "test1") # Will return "test", since the value is not None
Opt(None).getOrElseGet(lambda: "test1") # Will return "test1", since the value is  None

# stream will convert the object into a stream.
Opt("test").stream() # Is equivalent with Stream(["test"])
Opt(["test"]).stream() # Is equivalent with Stream([["test"]]). Notice the list stacking

# flatStream will convert the object into a stream, with the advantage that it can
# detect whether the object is a list and avoids stacking lists of lists.
Opt("test").flatStream() # Is equivalent with Stream(["test"])
Opt(["test", "test1", "test2"]).flatStream() # Is equivalent with Stream(["test", "test1", "test2"])

Try

# The Try class handles a chain of function calls with error handling

def throwErr() -> None:
    raise ValueError("Test")

def returnStr() -> str:
    return "test"

# It is important to call the get method, as this method actually triggers the entire chain
Try(throwErr).onFailure(lambda e: print(e)).get() # The onFailure is called

Try(returnStr).andThen(lambda s: print(s)).get() # Will print out "test"

# The of method can actually be used as a method to inject a value into a Try without
# actually calling a method or lambda
Try.of("test").andThen(lambda s: print(s)).get() # Will print out "test"

License

MIT