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* refractor(proactive): upgrade proactive feature with disentangled job and steps * refactor(proactive): apply audit fixes - rename read-side job 'proactive' -> 'proactive_read' (less confusing vs the refresh pipeline) - drop dedicated agent_wrapper.proactive; extraction reuses the default wrapper - simplify schema: remove unused ProactiveExtractOutput/TopicUpdate, drop resource_paths - extract no longer scans resource/ directly (daily notes already carry resource content) - update tests and docs accordingly * feat(proactive): strict extract-output gate and prompt total budget - parse_extract_reply now requires a contract section (follow_ups/extends/updates as a list); non-empty replies with misspelled section names trigger the existing one-shot retry instead of silently checkpointing changed files - pack_paths gains max_total_chars; extract packs newest daily material first, keeps the first file on overflow, and records omitted files in a trailer (default budget 300000 chars, configurable via max_total_chars) - tests: schema gate unit, schema-error retry e2e, budget unit + e2e * feat(proactive): add scenario-card plan step and generative agenda step * feat(proactive): digest-personal profile personalization and leaner LLM contract - extract/plan/agenda now draw a user profile block from <digest_dir>/personal/*.md (frontmatter description + body excerpt, per-file budget, profile.md fallback) - all daily access honours the configured daily_dir (prompt paths parameterized, config-driven fallbacks) so workspaces using e.g. memory/ work unchanged - schema trim: drop dead fields errors/material_paths, carry_forward_all -> count - shrink LLM output contract: new topics emit title/reason/confidence/paths only; keywords removed end-to-end, evidence derived from paths[0] (updates keep it) * fix(proactive): skip checkpoint when extract reply stays unusable after retry Two consecutive unparseable replies now short-circuit the round without checkpointing, so the same material is retried next round instead of being silently consumed (closes the residual audit #1 gap: the structural gate detected schema-wrong output but a double failure still checkpointed). * fix(proactive): replace running bool with reference-counted job activity tracker for the idle gate * refactor(proactive): remove job activity tracking and idle gate, restore job tree to upstream * fix(proactive): address second audit round (readonly reader, mtime checkpoint, wider fallbacks, profile containment, horizon content, expiry boundary) * refactor(dream): strip interests.yaml ownership from dream, proactive is now the sole writer * refactor(dream): separate proactive topic generation * ci: update renamed auto dream smoke test * fix(proactive): complete refresh migration and docs --------- Co-authored-by: jinli.yl <jinli.yl@alibaba-inc.com>
69 lines
2.7 KiB
Python
69 lines
2.7 KiB
Python
"""Auto-dream schemas."""
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from typing import Literal
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from pydantic import BaseModel, Field
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from ..enumeration import DreamBucketEnum
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# ProactiveResult moved to reme.schema.proactive; re-exported for import compatibility.
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from .proactive import ProactiveResult # noqa: F401 # pylint: disable=unused-import
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class DreamUnit(BaseModel):
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"""One cross-file memory unit emitted by global extract."""
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name: str = Field(description="Short kebab-case handle for the abstraction.")
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bucket: DreamBucketEnum = Field(description="Digest bucket; unknown raw values route to wiki before validation.")
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summary: str = Field(description="Grounded abstraction summary with evidence pointers.")
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paths: list[str] = Field(default_factory=list, description="Workspace-relative source paths.")
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class DreamExtractOutput(BaseModel):
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"""Structured output for ``dream_extract_step``."""
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units: list[DreamUnit] = Field(default_factory=list)
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class IntegrateOutcome(BaseModel):
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"""Structured output for one unit integration."""
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action: Literal["CREATE", "CORROBORATE", "REFINE", "CORRECT"] = Field(description="Write decision.")
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target_path: str = Field(description="Digest path written or edited.")
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note: str = Field(default="", description="Short summary of what landed.")
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class DreamState(BaseModel):
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"""Shared state passed across the dream steps."""
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date: str = ""
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dates: list[str] = Field(default_factory=list)
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scan_days: int = 2
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hint: str = ""
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daily_dir: str = ""
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workspace: str = ""
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files_scanned: int = 0
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files_unchanged: int = 0
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files_changed: int = 0
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files_deleted: int = 0
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changed_paths: list[str] = Field(default_factory=list)
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unchanged_paths: list[str] = Field(default_factory=list)
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deleted_paths: list[str] = Field(default_factory=list)
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existing: dict[str, float] = Field(default_factory=dict)
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indexed: dict[str, float] = Field(default_factory=dict)
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units: list[dict] = Field(default_factory=list)
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extract_summary: str = ""
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integrate_results: list[dict] = Field(default_factory=list)
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skipped_units: list[dict] = Field(default_factory=list)
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nodes_created: list[str] = Field(default_factory=list)
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nodes_updated: list[str] = Field(default_factory=list)
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modified_paths: list[str] = Field(
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default_factory=list,
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description="Durable digest files detected as created or changed during this run.",
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)
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failed_units: list[dict] = Field(default_factory=list)
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failed_paths: list[str] = Field(default_factory=list)
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checkpoint_paths: list[str] = Field(default_factory=list)
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warnings: list[str] = Field(default_factory=list)
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errors: list[str] = Field(default_factory=list)
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summary: str = ""
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