Directory rename (git mv, history preserved) plus rewrite of all references: absolute imports in tests, the zero-dep runner, docstrings, comments, and the README. No behavior change. Run: python3 -m pytest v2/tests/ -q ; python3 v2/run_tests.py ; python3 -m v2.examples
71 lines
2.9 KiB
Python
71 lines
2.9 KiB
Python
"""DeploymentCard — what an engine exports to a fleet (design_v3 §14; designv2 Deployment plane).
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> The engine exports a ``DeploymentCard`` and lets a fleet orchestrator route. ... The cost model is
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> the SAME §6 object — one object, two consumers (the scheduler's budget and the fleet's routing input).
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This is the contract our OWN fleet (``deploy/fleet.py``) consumes AND the Dynamo adapter
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(``deploy/dynamo.py``) exports — so we are frontable by Dynamo without depending on it.
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"""
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from __future__ import annotations
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import dataclasses
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from dataclasses import dataclass, field
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from typing import Any
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from .._enums import Capability
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from ..card import CostModel
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@dataclass
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class HealthSchema:
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status: str = "healthy" # "healthy" | "draining" | "unhealthy"
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in_flight: int = 0
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queue_depth: int = 0
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@dataclass
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class SLOSchema:
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slo_class: str = "standard" # "latency" | "throughput" | "cost"
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max_concurrent: int = 8
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@dataclass
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class DeploymentCard:
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engine_id: str
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model_cards: list[str] = field(default_factory=list)
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capabilities: frozenset[Capability] = frozenset()
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role_pools: list = field(default_factory=list) # list[RolePoolSpec]
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supported_programs: list[str] = field(default_factory=list)
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cost_model: CostModel | None = None # the SAME §6 cost model
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health: HealthSchema = field(default_factory=HealthSchema)
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slo: SLOSchema = field(default_factory=SLOSchema)
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def serves(self, model_id: str) -> bool:
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return model_id in self.model_cards
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def build_deployment_card(engine_id: str, model_cards: list, *, max_concurrent: int = 8,
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slo_class: str = "standard", role_pools: list | None = None,
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supported_programs: list[str] | None = None) -> DeploymentCard:
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"""Export a DeploymentCard from the model cards an engine serves (design_v3 §14).
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Picks a representative ``step_cost_model`` so the fleet/Dynamo route on the SAME cost object the
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scheduler budgets with."""
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caps: set = set()
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cost_model = None
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ids: list[str] = []
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for c in model_cards:
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ids.append(c.model_id)
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caps |= set(c.capabilities.capabilities)
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if cost_model is None:
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for lp in c.loops.values():
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if lp.step_cost_model is not None:
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# own copy so online calibration of one card's cost doesn't alias another replica's
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cost_model = dataclasses.replace(lp.step_cost_model,
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coefficients=dict(lp.step_cost_model.coefficients))
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break
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return DeploymentCard(
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engine_id=engine_id, model_cards=ids, capabilities=frozenset(caps),
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role_pools=role_pools or [], supported_programs=supported_programs or [],
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cost_model=cost_model, slo=SLOSchema(slo_class=slo_class, max_concurrent=max_concurrent))
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