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https://github.com/zechcodes/tramp
No idea but we have a result type!
https://github.com/zechcodes/tramp
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No idea but we have a result type!
- Host: GitHub
- URL: https://github.com/zechcodes/tramp
- Owner: ZechCodes
- Created: 2024-05-30T23:36:31.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-11-14T20:28:51.000Z (about 2 months ago)
- Last Synced: 2024-11-14T21:27:29.480Z (about 2 months ago)
- Language: Python
- Size: 33.2 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
from tramp.as_completed import AsCompleted
# Tramp
A collection of useful utilities that can be used in any project.
## Installation
```python
pip install tramp
```
## Annotations
A utility for evaluating string annotations with support for forward references when a name cannot be evaluated. Forward references can be evaluated later by calling the forward reference's `evaluate` method. This is a similar API to [PEP 649](https://peps.python.org/pep-0649/), although it is not fully compatible and only emulates the behavior of `Format.FORWARDREF`. Certain things are not possible (at least not without some serious hacking) such as using `ForwardRef` instances as that would break many annotation types from the `typing` module. To help with this limitation the `tramp.annotations.ForwardRefMeta` type overrides the `isinstance` check to return `True` when Tramp's version of the `ForwardRef` class is used in an instance check (`isinstance` or a match/case). The goal is to implement the most essential parts of the PEP to begin reaping the benefits of forward references now with the least necessary refactoring later.
On Python 3.14 Tramp falls through to the PEP 649 implementation.
```python
from tramp.annotations import get_annotations
class Foo:
bar: "Bar"
annotations = get_annotations(Foo) # {'bar': }
class Bar:
pass
annotations["bar"].evaluate() #
```
It supports generic types, metadata, function calls/class instantiation, etc.
```python
class Foo:
bar: "list[int]"
baz: "Callable[[int], str]"
qux: "Annotated[int, Bar('baz')]"
```
## As Completed
The `AsCompleted` type is a wrapper around `asyncio.as_completed` that adds an async iterator over the results from each task. This simplifies iterating over tasks, eliminating the need to await the next result.
```py
from tramp.as_completed import AsCompleted
...
tasks = [...]
async for result in AsCompleted(*tasks):
...
```
Additionally it is possible to use `AsCompleted` in the same way that `as_completed` operates.
```py
for next_result in AsCompleted(*tasks):
result = await next_result
```
## Async Batch Iterators
The `AsyncBatchIterator` type is an async iterator that yields results one at a time from batches. It takes a coroutine that returns batches at a batch index. The coroutine can return either a `Iterable` or an `AsyncIterable`. If the coroutine returns `None` or an empty batch, the batched iterator stops.
```py
async def get_batch(batch_index: int) -> Iterable[int] | None:
if batch_index > 1:
return
return range(batch_index * 2, (batch_index + 1) * 2)
async def main():
async for result in AsyncBatchIterator(get_batch):
print(result)
```
## Containers
A container acts a reference to a changeable value.
```python
from tramp.containers import Container
container = Container[int](0)
container.set(1)
print(container.value) # 1
```
An empty container can also be created. Attempting to access the value raises a `ValueError`. The error can be avoided by using the `value_or` method or by checking the `never_set` boolean property.
## Modules
Helper functions for working with modules
```python
from tramp import modules
from typing import Any
ns: dict[str, Any] = modules.get_module_namespace("some_module")
```
## Optionals
An optional type that can be used with match statements.
```python
from tramp.optionals import Optional
def foo(x: int) -> Optional[int]:
if x > 0:
return Optional.Some(x)
return Optional.Nothing()
result = foo(1)
print(result.value) # 1
result = foo(-1)
print(result.value) # Raises an exception
result = foo(-1)
print(result.value_or(0)) # 0
...
match foo(1):
case Optional.Some(x):
print(x)
case Optional.Nothing():
print("Nothing")
# Output: 1
match foo(-1):
case Optional.Some(x):
print(x)
case Optional.Nothing():
print("Nothing")
# Output: Nothing
```
## Protected Strings
A protected string type that can be used to store sensitive information. The string is redacted when rendered into a string. The value can be accessed using the `value` property.
```python
from tramp.protected_strings import ProtectedString
password = ProtectedString("password", name="password")
print(password) #
print(f"Password: {password}") # Password:
print(f"Password: {password.value}") # Password: password
print(f"Password: {password:***}") # Password: ***
print(f"Password: {password:***$password}") # Password: password
print(f"Password: {password:$password}") # Password: password
```
`ProtectedString`s can be combined with other strings to create a `ProtectedStringBuilder` which can combine and format multiple protected strings with each other and normal strings.
```python
from tramp.protected_strings import ProtectedString
foo = ProtectedString("Hello", name="foo")
bar = ProtectedString("World", name="bar")
builder = foo + " " + bar + "!!!"
print(f"{builder}") # !!!
print(f"{builder:***}") # *** ***!!!
print(f"{builder:$foo}") # Hello !!!
print(f"{builder:***$foo}") # Hello ***!!!
print(f"{builder:$foo,bar}") # Hello World!!!
print(f"{builder:***$foo,bar}") # Hello World!!!
```
## Results
A result type that can be used with match statements. Works the same as Optionals with an added `error` property.
```python
from tramp.results import Result
with Result.build() as result:
result.value = 1
print(result.value) # 1
print(result.error) # None
with Result.build() as result:
raise Execption("Error")
print(result.value) # Raises an exception
print(result.value_or(0)) # 0
print(result.error) # Exception("Error")
```
## Sentinel
A sentinel value that can be used to represent a unique value. Useful for creating `NotSet` types. Instantiating any
sentinel type will always return the same singleton instance of that type allowing for `is` checks.
```python
from tramp.sentinels import sentinel
NotSet = sentinel("NotSet")
def foo(x: int | NotSet = NotSet()) -> int:
if x is NotSet():
return 0
return x
```