Files
hao-ai-lab-FastVideo/v2/loop/driver.py
T
SolitaryThinker 4e331eb7ff [refactor] v2: use absolute imports (v2.*) everywhere instead of relative
Mechanical conversion of every relative import under v2/ to an absolute v2.* path
(from .x / ..x / ...x -> from v2.<pkg>.x) so imports are unambiguous, grep-able, and
stable when code is copied/moved between entrypoints (VideoGenerator, CLI, server).

Surgical prefix-only rewrite: only the 'from <dots><module>' prefix changed — import
names, parentheses, multi-line formatting, comments, and ordering are byte-for-byte
preserved (no collapsing, no reorder, no unrelated reformatting).

- 471 imports across 125 files; v2/tests/ was already absolute (untouched).
- Validated: all 125 files compile, every 'from v2.* import' target resolves to a real
  module/package, zero relative imports remain (full sweep), CPU mini suite green
  (202 passed, 2 skipped).
2026-07-04 17:15:34 +00:00

69 lines
2.5 KiB
Python

"""LoopRunner — the only place iteration lives (design_v3 §5.1).
This is the runtime's driver, factored so the engine can either run it to completion
(``run``) or advance it one step at a time (``peek`` + ``step``) to **interleave** the steps
of concurrent requests. Per-request state is entirely in ``LoopState``; the runner holds no
hidden iteration state beyond a cached pending plan, so interleaving is safe by construction
(the property the §9.3 interleave gate verifies).
"""
from __future__ import annotations
from typing import Any
from v2.loop.contracts import Done, LoopContext, LoopResult, LoopState, WorkPlan
class LoopRunner:
def __init__(self, loop: Any, ctx: LoopContext, request: Any, model: Any):
self.loop = loop
self.ctx = ctx
self.state: LoopState = loop.init(request, model, ctx)
self._done = False
self._result: LoopResult | None = None
self._pending: WorkPlan | None = None
@property
def done(self) -> bool:
return self._done
@property
def result(self) -> LoopResult | None:
return self._result
def peek(self) -> WorkPlan | None:
"""Compute (and cache) the next WorkPlan. ``next`` is kernel-free, so this is cheap.
Returns None when the loop is finished (and runs ``finalize`` exactly once)."""
if self._done:
return None
if self._pending is None:
self.ctx.check_cancel()
nxt = self.loop.next(self.state)
if isinstance(nxt, Done):
self._result = self.loop.finalize(self.state)
self._done = True
return None
self._pending = nxt
return self._pending
def step(self) -> bool:
"""Execute the pending plan (the inversion point) and fold the result in.
Returns True when the loop has just finished."""
plan = self.peek()
if self._done or plan is None:
return True
# the engine binds the current state onto ctx so interceptors see per-request state
if hasattr(self.ctx, "bind_state"):
self.ctx.bind_state(self.state)
result = self.ctx.execute(plan)
for chunk in plan.emits:
self.ctx.emit(chunk)
self.state = self.loop.advance(self.state, result)
self._pending = None
return self._done
def run(self) -> LoopResult:
while not self._done:
self.step()
assert self._result is not None
return self._result