fix(classifier): atomic embed assignment, logging on orch failure, guard double load
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2 changed files with 46 additions and 6 deletions
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@ -7,6 +7,8 @@ from __future__ import annotations
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import abc
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from collections import defaultdict
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import httpx
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import logging
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from pathlib import Path
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from typing import Any
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@ -23,6 +25,8 @@ __all__ = [
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"EmbeddingKNNAdapter",
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]
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_logger = logging.getLogger(__name__)
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LABELS: list[str] = [
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"interview_scheduled",
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"offer_received",
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@ -447,7 +451,6 @@ class EmbeddingKNNAdapter(ClassifierAdapter):
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return cforch.get("coordinator_url", ""), cforch.get("ollama_url", "")
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def _embed(self, node_url: str, texts: list[str]) -> list[list[float]]:
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import httpx # noqa: PLC0415
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resp = httpx.post(
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f"{node_url}/v1/embeddings",
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json={"model": self._model_id, "input": texts},
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@ -457,7 +460,10 @@ class EmbeddingKNNAdapter(ClassifierAdapter):
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return [item["embedding"] for item in resp.json()["data"]]
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def load(self) -> None:
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import httpx # noqa: PLC0415
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if self._allocation_id or self._exemplar_embeddings:
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raise RuntimeError(
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"EmbeddingKNNAdapter.load() called while already loaded — call unload() first"
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)
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orch_url, ollama_url = self._resolve_urls()
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node_url = ""
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orch_url_used = ""
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@ -473,21 +479,24 @@ class EmbeddingKNNAdapter(ClassifierAdapter):
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node_url = data["url"]
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self._allocation_id = data["allocation_id"]
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orch_url_used = orch_url
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except Exception:
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pass
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except Exception as exc:
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_logger.warning(
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"cf-orch allocation failed, falling back to direct ollama_url: %s", exc
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)
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if not node_url:
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node_url = ollama_url
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self._allocation_id = ""
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orch_url_used = ""
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self._node_url = node_url
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self._orch_url_used = orch_url_used
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embeddings: dict[str, list[list[float]]] = {}
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for label, texts in self._exemplar_texts.items():
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self._exemplar_embeddings[label] = self._embed(node_url, texts)
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embeddings[label] = self._embed(node_url, texts)
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self._exemplar_embeddings = embeddings
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def unload(self) -> None:
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if self._allocation_id and self._orch_url_used:
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try:
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import httpx # noqa: PLC0415
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httpx.request(
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"DELETE",
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f"{self._orch_url_used}/api/services/ollama/allocations/{self._allocation_id}",
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@ -418,6 +418,8 @@ def test_load_calls_allocate_then_embeds_each_label():
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assert "hired" in adapter._exemplar_embeddings
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assert len(adapter._exemplar_embeddings["rejected"]) == 1
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assert len(adapter._exemplar_embeddings["hired"]) == 2
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assert adapter._exemplar_embeddings["rejected"][0] == [0.1, 0.2, 0.3]
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assert adapter._exemplar_embeddings["hired"][0] == [0.1, 0.2, 0.3]
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def test_load_falls_back_to_ollama_when_allocate_fails():
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@ -450,6 +452,35 @@ def test_load_falls_back_to_ollama_when_allocate_fails():
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assert "rejected" in adapter._exemplar_embeddings
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def test_load_falls_back_to_ollama_when_allocate_raises():
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from unittest.mock import patch, MagicMock
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import httpx as _httpx
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from scripts.classifier_adapters import EmbeddingKNNAdapter
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exemplars = {"rejected": ["We went with others"]}
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adapter = EmbeddingKNNAdapter(
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"test", "nomic-embed-text", k=3,
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orch_url="http://orch:7700", ollama_url="http://ollama:11434",
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exemplar_texts=exemplars,
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)
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def raising_mock(url, *, json=None, timeout=None, **kwargs):
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if "/allocate" in url:
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raise _httpx.ConnectError("connection refused")
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resp = MagicMock()
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resp.raise_for_status.return_value = None
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resp.json.return_value = {"data": [{"embedding": [0.1, 0.2, 0.3]}]}
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return resp
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with patch("httpx.post", side_effect=raising_mock):
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adapter.load()
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assert adapter._allocation_id == ""
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assert adapter._orch_url_used == ""
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assert adapter._node_url == "http://ollama:11434"
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assert "rejected" in adapter._exemplar_embeddings
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# ---- EmbeddingKNNAdapter.unload() tests ----
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def test_unload_releases_orch_allocation_and_clears_state():
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