style: apply ruff's automatic fixes and formatter
Mechanical only, and separated from the judgment calls that follow so the reviewable changes are not buried in a 98-file whitespace diff. 227 automatic fixes: 60 blank lines carrying whitespace, 60 unsorted import blocks, 34 Optional[X] to X | None, 28 unused imports, 16 deprecated typing imports, 12 datetime.timezone.utc to datetime.UTC, and assorted smaller modernisations. Then `ruff format` over src and tests: 98 files reformatted, 35 already conforming. No file among the unused-import findings defines __all__ or is an __init__.py, so nothing here removes a re-export. `make test`: 658 passed, unchanged from HEAD. Two things observed while verifying, neither addressed here: `pytest tests/` cannot collect — tests/e2e/test_orchestration_e2e.py uses an `e2e` marker that is not registered, and the config is strict about markers. This fails identically at HEAD, so it predates this change; `make test` passes because it ignores tests/e2e, tests/integration and tests/contracts. test_tatlock_tool_call_logging_calculator is flaky. It failed once in a full run with these changes and passed on the next, passes in isolation with them, and fails in isolation at HEAD. It is order- or timing-dependent, not a regression from this commit — established by running the full suite both ways rather than by reasoning about which change could have caused it. Co-Authored-By: Claude <noreply@anthropic.com>
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+15
-13
@@ -21,14 +21,14 @@ Usage:
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# Get session context
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ctx = await memory_service.get_session_context(conversation_id)
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"""
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from datetime import datetime, timezone
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from datetime import UTC, datetime
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from enum import Enum
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from typing import Any
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from pydantic import BaseModel, Field
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from .config import config
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from .context import get_user, get_conversation_id
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from .context import get_conversation_id, get_user
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from .embeddings import get_embedding_client
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from .logging_config import get_logger
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from .memory_cache import get_memory_cache
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@@ -40,22 +40,24 @@ logger = get_logger(__name__)
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class MemoryType(str, Enum):
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"""Types of memories stored in Qdrant."""
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USER_PROFILE = "user_profile" # Name, location, timezone
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PREFERENCE = "preference" # Units, language, theme
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LEARNED_FACT = "learned_fact" # "My car is a Tesla"
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USER_PROFILE = "user_profile" # Name, location, timezone
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PREFERENCE = "preference" # Units, language, theme
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LEARNED_FACT = "learned_fact" # "My car is a Tesla"
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class MemoryRecord(BaseModel):
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"""A memory record stored in Qdrant."""
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id: str
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type: MemoryType
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key: str # e.g., "location", "timezone", "car"
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value: str # The actual content
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key: str # e.g., "location", "timezone", "car"
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value: str # The actual content
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keywords: list[str] = Field(default_factory=list)
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importance: float = 0.5 # 0.0 - 1.0
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source: str = "explicit" # "explicit" | "inferred" | "conversation"
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created_at: str = Field(default_factory=lambda: datetime.now(timezone.utc).isoformat())
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updated_at: str = Field(default_factory=lambda: datetime.now(timezone.utc).isoformat())
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importance: float = 0.5 # 0.0 - 1.0
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source: str = "explicit" # "explicit" | "inferred" | "conversation"
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created_at: str = Field(default_factory=lambda: datetime.now(UTC).isoformat())
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updated_at: str = Field(default_factory=lambda: datetime.now(UTC).isoformat())
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class MemoryService:
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@@ -528,7 +530,7 @@ class MemoryService:
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"keywords": keywords,
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"importance": importance,
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"source": source,
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"updated_at": datetime.now(timezone.utc).isoformat(),
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"updated_at": datetime.now(UTC).isoformat(),
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}
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result = await self.qdrant.upsert_memory(
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