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https://github.com/bytedance/deer-flow.git
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Major refactoring of deerflow/runtime/: - runs/callbacks/ - new callback system (builder, events, title, tokens) - runs/internal/ - execution internals (executor, supervisor, stream_logic, registry) - runs/internal/execution/ - execution artifacts and events handling - runs/facade.py - high-level run facade - runs/observer.py - run observation protocol - runs/types.py - type definitions - runs/store/ - simplified store interfaces (create, delete, query, event) Refactor stream_bridge/: - Replace old providers with contract.py and exceptions.py - Remove async_provider.py, base.py, memory.py Add documentation: - README.md and README_zh.md for runtime module Remove deprecated: - manager.py moved to internal/ - worker.py, schemas.py - user_context.py Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
"""Execution plan builder for runs domain."""
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from __future__ import annotations
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from copy import deepcopy
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from dataclasses import dataclass
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from typing import Any, Literal
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from ..types import RunRecord, RunSpec
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@dataclass(frozen=True)
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class ExecutionPlan:
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"""Normalized execution inputs derived from a run record and spec."""
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record: RunRecord
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graph_input: dict[str, Any]
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runnable_config: dict[str, Any]
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stream_modes: list[str]
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stream_subgraphs: bool
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interrupt_before: list[str] | Literal["*"] | None
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interrupt_after: list[str] | Literal["*"] | None
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class ExecutionPlanner:
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"""Build executor-ready plans from public run specs."""
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def build(self, record: RunRecord, spec: RunSpec) -> ExecutionPlan:
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return ExecutionPlan(
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record=record,
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graph_input=self._normalize_graph_input(spec.input),
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runnable_config=deepcopy(spec.runnable_config),
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stream_modes=list(spec.stream_modes),
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stream_subgraphs=spec.stream_subgraphs,
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interrupt_before=spec.interrupt_before,
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interrupt_after=spec.interrupt_after,
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)
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def _normalize_graph_input(self, raw_input: dict[str, Any] | None) -> dict[str, Any]:
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if raw_input is None:
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return {}
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return deepcopy(raw_input)
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