feat: initial orchestrator service with FastAPI backend and premium GUI

- FastAPI backend with full Proxmox VE API integration
- ISO builder using proxmox-auto-install-assistant
- Premium dark-mode SPA frontend with glassmorphism design
- VM lifecycle management (create, start, stop, destroy)
- Build pipeline tracking with real-time logs
- Deployment automation for custom auto-installer ISOs
- Production deployment script (setup.sh + systemd)
- Comprehensive README with API documentation
This commit is contained in:
2026-06-21 22:57:32 -04:00
parent f2935fa1e1
commit 70c71161f3
4464 changed files with 825937 additions and 2 deletions
@@ -0,0 +1,626 @@
from __future__ import annotations
__all__ = (
"accumulate",
"batched",
"Chain",
"combinations",
"combinations_with_replacement",
"compress",
"count",
"cycle",
"dropwhile",
"filterfalse",
"groupby",
"islice",
"pairwise",
"permutations",
"product",
"repeat",
"starmap",
"tee",
"takewhile",
"zip_longest",
)
import itertools
import operator
import sys
from collections.abc import (
AsyncGenerator,
AsyncIterable,
AsyncIterator,
Awaitable,
Callable,
Iterable,
Iterator,
)
from dataclasses import dataclass, field
from typing import Any, Generic, TypeVar, cast, overload
from ._core._synchronization import Lock
from ._core._tasks import CancelScope
from .lowlevel import cancel_shielded_checkpoint, checkpoint, checkpoint_if_cancelled
T = TypeVar("T")
R = TypeVar("R")
_tee_end = object()
@dataclass(eq=False)
class _IterableAsyncIterator(AsyncIterator[T]):
iterator: Iterator[T]
async def __anext__(self) -> T:
await checkpoint_if_cancelled()
try:
result = next(self.iterator)
except StopIteration:
await cancel_shielded_checkpoint()
raise StopAsyncIteration from None
await cancel_shielded_checkpoint()
return result
def _iterate(iterable: Iterable[T] | AsyncIterable[T]) -> AsyncIterator[T]:
if isinstance(iterable, AsyncIterator):
return iterable
if isinstance(iterable, AsyncIterable):
return iterable.__aiter__()
return _IterableAsyncIterator(iter(iterable))
@dataclass(eq=False)
class _TeeLink(Generic[T]):
value: object | None = None
next: _TeeLink[T] | None = None
filled: bool = False
@dataclass(eq=False)
class _TeeState(Generic[T]):
iterator: AsyncIterator[T]
lock: Lock = field(default_factory=Lock)
async def fill(self, link: _TeeLink[T]) -> bool:
if link.filled:
return False
async with self.lock:
if link.filled:
return True
link.value = await anext(self.iterator, _tee_end)
if link.value is not _tee_end:
link.next = _TeeLink()
link.filled = True
return True
class _TeeAsyncIterator(AsyncIterator[T]):
_state: _TeeState[T]
_link: _TeeLink[T]
_element_yielded: bool
def __init__(
self, iterable: Iterable[T] | AsyncIterable[T] | _TeeAsyncIterator[T]
) -> None:
if isinstance(iterable, _TeeAsyncIterator):
self._state = iterable._state
self._link = iterable._link
else:
self._state = _TeeState(_iterate(iterable))
self._link = _TeeLink()
self._element_yielded = False
async def __anext__(self) -> T:
had_yieldpoint = await self._state.fill(self._link)
if self._link.value is _tee_end:
if not self._element_yielded:
await checkpoint()
raise StopAsyncIteration
if not had_yieldpoint:
await checkpoint_if_cancelled()
self._element_yielded = True
value = cast(T, self._link.value)
next_link = self._link.next
assert next_link is not None
self._link = next_link
if not had_yieldpoint:
await cancel_shielded_checkpoint()
return value
async def _operator_add(x: T, y: T) -> T:
return operator.add(x, y)
async def accumulate(
iterable: Iterable[T] | AsyncIterable[T],
function: Callable[[T, T], Awaitable[T]] = _operator_add,
*,
initial: T | None = None,
) -> AsyncGenerator[T, None]:
iterator = _iterate(iterable)
if initial is None:
try:
total = await anext(iterator)
except StopAsyncIteration:
await checkpoint()
return
else:
await checkpoint_if_cancelled()
total = initial
await cancel_shielded_checkpoint()
yield total
async for element in iterator:
total = await function(total, element)
yield total
async def batched(
iterable: Iterable[T] | AsyncIterable[T], n: int, *, strict: bool = False
) -> AsyncGenerator[tuple[T, ...], None]:
if n < 1:
raise ValueError("n must be at least one")
iterator = _iterate(iterable)
while True:
batch: list[T] = []
for _ in range(n):
try:
batch.append(await anext(iterator))
except StopAsyncIteration:
if not batch:
await checkpoint()
return
if strict:
raise ValueError("batched(): incomplete batch") from None
yield tuple(batch)
return
yield tuple(batch)
class Chain:
def __call__(
self, *iterables: Iterable[T] | AsyncIterable[T]
) -> AsyncGenerator[T, None]:
return self.from_iterable(iterables)
async def from_iterable(
self,
iterables: (
Iterable[Iterable[T] | AsyncIterable[T]]
| AsyncIterable[Iterable[T] | AsyncIterable[T]]
),
) -> AsyncGenerator[T, None]:
element_yielded = False
outer_iter = _iterate(iterables)
try:
async for iterable in outer_iter:
async for element in _iterate(iterable):
element_yielded = True
yield element
finally:
aclose = getattr(outer_iter, "aclose", None)
if aclose is not None:
with CancelScope(shield=True):
await aclose()
if not element_yielded:
await checkpoint()
chain: Chain = Chain()
async def combinations(
iterable: Iterable[T] | AsyncIterable[T], r: int
) -> AsyncGenerator[tuple[T, ...], None]:
pool: list[T] = [element async for element in _iterate(iterable)]
async for combination in _iterate(itertools.combinations(pool, r)):
yield combination
async def combinations_with_replacement(
iterable: Iterable[T] | AsyncIterable[T], r: int
) -> AsyncGenerator[tuple[T, ...], None]:
pool: list[T] = [element async for element in _iterate(iterable)]
async for combination in _iterate(itertools.combinations_with_replacement(pool, r)):
yield combination
async def compress(
data: Iterable[T] | AsyncIterable[T],
selectors: Iterable[object] | AsyncIterable[object],
) -> AsyncGenerator[T, None]:
data_iterator = _iterate(data)
selector_iterator = _iterate(selectors)
element_yielded = False
while True:
try:
datum = await anext(data_iterator)
selector = await anext(selector_iterator)
except StopAsyncIteration:
if not element_yielded:
await checkpoint()
return
if selector:
element_yielded = True
yield datum
async def count(start: int = 0, step: int = 1) -> AsyncGenerator[int, None]:
n = start
while True:
await checkpoint_if_cancelled()
value = n
n += step
await cancel_shielded_checkpoint()
yield value
async def cycle(
iterable: Iterable[T] | AsyncIterable[T],
) -> AsyncGenerator[T, None]:
saved: list[T] = []
async for element in _iterate(iterable):
saved.append(element)
yield element
if not saved:
await checkpoint()
return
while True:
for element in saved:
await checkpoint()
yield element
async def dropwhile(
predicate: Callable[[T], Awaitable[object]],
iterable: Iterable[T] | AsyncIterable[T],
) -> AsyncGenerator[T, None]:
element_yielded = False
dropping = True
async for element in _iterate(iterable):
if dropping and await predicate(element):
continue
dropping = False
element_yielded = True
yield element
if not element_yielded:
await checkpoint()
async def filterfalse(
predicate: Callable[[T], Awaitable[object]],
iterable: Iterable[T] | AsyncIterable[T],
) -> AsyncGenerator[T, None]:
element_yielded = False
async for element in _iterate(iterable):
if not await predicate(element):
element_yielded = True
yield element
if not element_yielded:
await checkpoint()
@overload
def groupby(
iterable: Iterable[T] | AsyncIterable[T],
) -> AsyncGenerator[tuple[T, list[T]], None]: ...
@overload
def groupby(
iterable: Iterable[T] | AsyncIterable[T],
key: Callable[[T], Awaitable[R]],
) -> AsyncGenerator[tuple[R, list[T]], None]: ...
async def groupby(
iterable: Iterable[T] | AsyncIterable[T],
key: Callable[[T], Awaitable[object]] | None = None,
) -> AsyncGenerator[tuple[object, list[T]], None]:
iterator = _iterate(iterable)
try:
element = await anext(iterator)
except StopAsyncIteration:
await checkpoint()
return
group_key = element if key is None else await key(element)
values = [element]
async for element in iterator:
next_key = element if key is None else await key(element)
if next_key != group_key:
completed_group = group_key, values
group_key = next_key
values = [element]
yield completed_group
else:
values.append(element)
yield group_key, values
@overload
def islice(
iterable: Iterable[T] | AsyncIterable[T],
stop: int | None,
/,
) -> AsyncGenerator[T, None]: ...
@overload
def islice(
iterable: Iterable[T] | AsyncIterable[T],
start: int | None,
stop: int | None,
step: int | None = 1,
/,
) -> AsyncGenerator[T, None]: ...
async def islice(
iterable: Iterable[T] | AsyncIterable[T],
*args: int | None,
) -> AsyncGenerator[T, None]:
if not args:
raise TypeError("islice expected at least 2 arguments, got 1")
if len(args) > 3:
raise TypeError(f"islice expected at most 4 arguments, got {len(args) + 1}")
slice_args = slice(*args)
start_message = (
"Indices for islice() must be None or an integer: 0 <= x <= sys.maxsize."
)
stop_message = (
"Stop argument for islice() must be None or an integer: 0 <= x <= sys.maxsize."
)
step_message = "Step for islice() must be a positive integer or None."
def normalize_index(value: object, message: str) -> int:
try:
index = operator.index(cast(Any, value))
except TypeError:
raise ValueError(message) from None
if index < 0 or index > sys.maxsize:
raise ValueError(message)
return index
start = (
0
if slice_args.start is None
else normalize_index(slice_args.start, start_message)
)
stop = (
None
if slice_args.stop is None
else normalize_index(slice_args.stop, stop_message)
)
step = (
1 if slice_args.step is None else normalize_index(slice_args.step, step_message)
)
if step <= 0:
raise ValueError(step_message)
if stop == 0 or start == stop:
await checkpoint()
return
iterator = _iterate(iterable)
index = 0
element_yielded = False
while stop is None or index < stop:
try:
element = await anext(iterator)
except StopAsyncIteration:
if not element_yielded:
await checkpoint()
return
if index >= start and (index - start) % step == 0:
index += 1
element_yielded = True
yield element
else:
index += 1
if not element_yielded:
await checkpoint()
async def pairwise(
iterable: Iterable[T] | AsyncIterable[T],
) -> AsyncGenerator[tuple[T, T], None]:
iterator = _iterate(iterable)
try:
previous = await anext(iterator)
except StopAsyncIteration:
await checkpoint()
return
element_yielded = False
async for element in iterator:
element_yielded = True
pair = (previous, element)
previous = element
yield pair
if not element_yielded:
await checkpoint()
async def permutations(
iterable: Iterable[T] | AsyncIterable[T], r: int | None = None
) -> AsyncGenerator[tuple[T, ...], None]:
pool: list[T] = [element async for element in _iterate(iterable)]
n = len(pool)
if r is None:
r = n
elif not isinstance(r, int):
raise TypeError("Expected int as r")
elif r < 0:
raise ValueError("r must be non-negative")
async for permutation in _iterate(itertools.permutations(pool, r)):
yield permutation
async def product(
*iterables: Iterable[T] | AsyncIterable[T], repeat: int = 1
) -> AsyncGenerator[tuple[T, ...], None]:
repeat = operator.index(repeat)
if repeat < 0:
raise ValueError("repeat argument cannot be negative")
pools: list[tuple[T, ...]] = []
for iterable in iterables:
pool: list[T] = [element async for element in _iterate(iterable)]
pools.append(tuple(pool))
async for value in _iterate(itertools.product(*pools, repeat=repeat)):
yield value
async def repeat(element: T, times: int | None = None) -> AsyncGenerator[T, None]:
if times is None:
while True:
await checkpoint()
yield element
remaining = operator.index(cast(Any, times))
if remaining <= 0:
await checkpoint()
return
while remaining > 0:
await checkpoint_if_cancelled()
remaining -= 1
await cancel_shielded_checkpoint()
yield element
async def starmap(
function: Callable[..., Awaitable[R]],
iterable: (
Iterable[Iterable[object] | AsyncIterable[object]]
| AsyncIterable[Iterable[object] | AsyncIterable[object]]
),
) -> AsyncGenerator[R, None]:
result_yielded = False
async for args_iterable in _iterate(iterable):
args = [element async for element in _iterate(args_iterable)]
result_yielded = True
yield await function(*args)
if not result_yielded:
await checkpoint()
def tee(
iterable: Iterable[T] | AsyncIterable[T], n: int = 2
) -> tuple[AsyncIterator[T], ...]:
n = operator.index(cast(Any, n))
if n < 0:
raise ValueError("n must be >= 0")
if n == 0:
return ()
iterator = _TeeAsyncIterator(iterable)
iterators: list[AsyncIterator[T]] = [iterator]
iterators.extend(_TeeAsyncIterator(iterator) for _ in range(n - 1))
return tuple(iterators)
async def takewhile(
predicate: Callable[[T], Awaitable[object]],
iterable: Iterable[T] | AsyncIterable[T],
) -> AsyncGenerator[T, None]:
element_yielded = False
async for element in _iterate(iterable):
if not await predicate(element):
if not element_yielded:
await checkpoint()
return
element_yielded = True
yield element
if not element_yielded:
await checkpoint()
async def zip_longest(
*iterables: Iterable[object] | AsyncIterable[object],
fillvalue: object = None,
) -> AsyncGenerator[tuple[object, ...], None]:
iterators = [_iterate(iterable) for iterable in iterables]
num_active = len(iterators)
if not num_active:
await checkpoint()
return
active = [True] * num_active
tuple_yielded = False
while True:
values: list[object] = []
for index, iterator in enumerate(iterators):
if not active[index]:
values.append(fillvalue)
continue
try:
value = await anext(iterator)
except StopAsyncIteration:
active[index] = False
num_active -= 1
if not num_active:
if not tuple_yielded:
await checkpoint()
return
value = fillvalue
values.append(value)
tuple_yielded = True
yield tuple(values)