feat(rag): lite-generated KB overview in the system prompt — stored single row, regenerated on import, <knowledge_base> section in HIGH+LOW prompts
This commit is contained in:
@@ -19,13 +19,16 @@ from fastapi.testclient import TestClient
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from app.api import chat as chat_api
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from app.config import Settings
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from app.main import app as fastapi_app
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from app.models import Document, QueryLog
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from app.models import Document, KbOverview, QueryLog
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from app.rag.llm import StreamPiece
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from app.rag.retriever import RetrievedChunk, weak_hit_titles
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from app.rag.suggestions import MAX_SUGGESTIONS, derive_suggestions
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ANSWER = "I haven't done anything like that — try one of these instead!"
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#: A small KB outline standing in for the lite-generated one (phase 31).
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KB_OVERVIEW = "- Homelab\n - Kubernetes (k3s)\n- Deployments\n - Borg backups"
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def _settings(threshold: float = 0.30) -> Settings:
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return Settings(
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@@ -236,6 +239,87 @@ def test_no_summary_chunks_yields_zero_summary_hits() -> None:
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assert plan_low.summary_hits == 0
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# ---------- KB overview (phase 31: <knowledge_base> section + kb_chars) ----------
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def test_plan_turn_high_injects_kb_overview() -> None:
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"""HIGH branch: the stored outline lands in the prompt between
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``<relevance>`` and ``<tuning>`` (or the ``<documents>`` body with no
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notes), and ``kb_chars`` records the outline's length."""
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doc = _doc("Kubernetes Homelab Cluster", "TALOS_DOC_CONTENT")
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plan = chat_api.plan_turn(
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[_chunk(doc, 0.90)], _settings(threshold=0.30), kb_overview=KB_OVERVIEW
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)
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assert plan.deflected is False
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assert plan.kb_chars == len(KB_OVERVIEW)
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prompt = plan.system_prompt
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assert "<knowledge_base>" in prompt
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assert KB_OVERVIEW in prompt
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i_rel = prompt.index("<relevance>HIGH</relevance>")
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i_kb = prompt.index("<knowledge_base>")
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i_docs = prompt.index("<documents>")
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assert i_rel < i_kb < i_docs
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def test_plan_turn_high_kb_section_ordered_before_tuning() -> None:
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"""Both sections present: ``<relevance>`` → ``<knowledge_base>`` →
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``<tuning>`` → ``<documents>`` (the locked phase-31 order)."""
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doc = _doc("Kubernetes Homelab Cluster", "TALOS_DOC_CONTENT")
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plan = chat_api.plan_turn(
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[_chunk(doc, 0.90)],
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_settings(threshold=0.30),
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notes=["be concise"],
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kb_overview=KB_OVERVIEW,
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)
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prompt = plan.system_prompt
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i_rel = prompt.index("<relevance>HIGH</relevance>")
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i_kb = prompt.index("<knowledge_base>")
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i_kb_close = prompt.index("</knowledge_base>")
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i_tuning = prompt.index("<tuning>")
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i_docs = prompt.index("<documents>")
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assert i_rel < i_kb < i_kb_close < i_tuning < i_docs
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assert plan.kb_chars == len(KB_OVERVIEW)
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def test_plan_turn_low_injects_kb_overview() -> None:
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"""LOW (deflected) branch: the outline is injected there too, ahead
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of the DEFLECT_MODE body, and document content stays excluded."""
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doc = _doc("Kubernetes Homelab Cluster", "TALOS_DOC_NEVER_SENT")
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plan = chat_api.plan_turn(
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[_chunk(doc, 0.10)], _settings(threshold=0.30), kb_overview=KB_OVERVIEW
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)
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assert plan.deflected is True
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assert plan.kb_chars == len(KB_OVERVIEW)
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prompt = plan.system_prompt
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assert "<knowledge_base>" in prompt
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assert KB_OVERVIEW in prompt
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i_rel = prompt.index("<relevance>LOW</relevance>")
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i_kb = prompt.index("<knowledge_base>")
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i_mode = prompt.index("DEFLECT_MODE")
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assert i_rel < i_kb < i_mode
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assert "TALOS_DOC_NEVER_SENT" not in prompt # titles only, still
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def test_plan_turn_empty_overview_keeps_prompt_and_zero_kb_chars() -> None:
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"""No outline (None/empty/blank) → ``kb_chars == 0`` and a prompt
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byte-identical to the no-overview build in both branches."""
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high_doc = _doc("Kubernetes Homelab Cluster", "TALOS_DOC_CONTENT")
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low_doc = _doc("Backup Strategy", "BACKUP_DOC_CONTENT")
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for chunks, kb in (
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([_chunk(high_doc, 0.90)], None),
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([_chunk(high_doc, 0.90)], ""),
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([_chunk(high_doc, 0.90)], " \n\t "),
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([_chunk(low_doc, 0.10)], None),
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([_chunk(low_doc, 0.10)], ""),
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):
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plan = chat_api.plan_turn(chunks, _settings(threshold=0.30), kb_overview=kb)
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baseline = chat_api.plan_turn(chunks, _settings(threshold=0.30))
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assert plan.kb_chars == 0
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assert baseline.kb_chars == 0
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assert plan.system_prompt == baseline.system_prompt # byte-identical
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assert "<knowledge_base>" not in plan.system_prompt
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# ---------- prompt content (LOW vs HIGH) ----------
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@@ -360,12 +444,15 @@ class _FakeSession:
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"""Stands in for the DB session: records the QueryLog row it is given.
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``scalars`` always yields no steering notes (phase 15) so the chat
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turn's ``load_steering_notes`` call stays a no-op here.
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turn's ``load_steering_notes`` call stays a no-op here, and ``get``
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returns the single ``kb_overview`` row when one is configured
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(phase 31) — ``None`` by default, i.e. no stored outline.
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"""
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def __init__(self) -> None:
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def __init__(self, kb_overview: str = "") -> None:
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self.added: list[Any] = []
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self.commits = 0
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self.kb_overview = kb_overview
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def add(self, obj: Any) -> None:
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self.added.append(obj)
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@@ -376,6 +463,11 @@ class _FakeSession:
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def scalars(self, _stmt: Any) -> _FakeSteeringResult:
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return _FakeSteeringResult()
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def get(self, model: Any, pk: Any) -> Any:
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if model is KbOverview and self.kb_overview:
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return KbOverview(id=1, content=self.kb_overview)
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return None
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@pytest.fixture()
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def gate_env(monkeypatch: pytest.MonkeyPatch) -> Iterator[tuple[_FakeSession, _CannedLLM]]:
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@@ -479,3 +571,55 @@ def test_endpoint_score_at_threshold_answers(
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assert isinstance(row, QueryLog)
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assert row.deflected is False
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assert row.top_score == pytest.approx(0.30)
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# ---------- endpoint: KB overview row (phase 31) ----------
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def test_endpoint_stored_kb_row_injected_into_system_prompt(
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client: TestClient,
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gate_env: tuple[_FakeSession, _CannedLLM],
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monkeypatch: pytest.MonkeyPatch,
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caplog: pytest.LogCaptureFixture,
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) -> None:
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"""A non-empty ``kb_overview`` row (read via one PK lookup) reaches
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the LLM's system prompt in both modes, and the per-turn log line
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records ``kb_chars=N`` (PLAN §9)."""
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session, llm = gate_env
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doc = _doc("Kubernetes Homelab Cluster", "TALOS_DOC_SENT")
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monkeypatch.setattr(chat_api, "retrieve", _fake_retriever([_chunk(doc, 0.30)]))
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session.kb_overview = f" {KB_OVERVIEW} " # the loader trims it
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with caplog.at_level("INFO", logger="app.chat"):
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_ask(client, "How is my Kubernetes cluster set up?")
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(system, _user) = llm.seen[0][0], llm.seen[0][1]
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assert "<knowledge_base>" in system["content"]
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assert KB_OVERVIEW in system["content"]
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assert system["content"].index("<relevance>HIGH</relevance>") < system["content"].index(
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"<knowledge_base>"
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) < system["content"].index("<documents>")
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log_lines = [r.getMessage() for r in caplog.records if "question=" in r.getMessage()]
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assert log_lines and f"kb_chars={len(KB_OVERVIEW)}" in log_lines[-1]
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def test_endpoint_no_kb_row_prompt_unchanged(
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client: TestClient,
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gate_env: tuple[_FakeSession, _CannedLLM],
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monkeypatch: pytest.MonkeyPatch,
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caplog: pytest.LogCaptureFixture,
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) -> None:
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"""No ``kb_overview`` row → the section is absent (byte-identical to
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the pre-phase prompt) and the log line records ``kb_chars=0``."""
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session, llm = gate_env
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assert session.kb_overview == "" # fixture default: no stored row
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doc = _doc("Kubernetes Homelab Cluster", "TALOS_DOC_SENT")
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monkeypatch.setattr(chat_api, "retrieve", _fake_retriever([_chunk(doc, 0.30)]))
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with caplog.at_level("INFO", logger="app.chat"):
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_ask(client, "How is my Kubernetes cluster set up?")
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(system, _user) = llm.seen[0][0], llm.seen[0][1]
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assert "<knowledge_base>" not in system["content"]
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log_lines = [r.getMessage() for r in caplog.records if "question=" in r.getMessage()]
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assert log_lines and "kb_chars=0" in log_lines[-1]
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@@ -0,0 +1,387 @@
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"""Unit: KB overview generator (phase 31, task 02).
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The prompt tests are pure (no DB): ``KB_OVERVIEW_MODE`` system prompt,
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per-document user lines (source/path/title/first summary line), and the
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input cap with the shared ``[…truncated…]`` marker. The loader and
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regenerator tests run against the local compose Postgres (preferred —
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real single-row upsert), skipping with clear instructions when the stack
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is not up — same pattern as ``test_importer.py``.
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"""
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from __future__ import annotations
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import asyncio
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import logging
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import uuid
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from datetime import UTC, datetime
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import pytest
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from sqlalchemy import text
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from sqlalchemy.orm import Session
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from app.config import Settings, get_settings
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from app.models import Document, KbOverview
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from app.rag.llm import LLMError
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from app.rag.overview import (
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KB_OVERVIEW_MODE,
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OVERVIEW_INSTRUCTION,
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SYSTEM_PROMPT,
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build_overview_prompt,
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load_kb_overview,
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regenerate_overview,
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)
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from app.rag.retriever import TRUNCATION_MARKER
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REPLY = "- Homelab\n - Kubernetes (k3s)\n- Deployments\n - Borg backups"
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class _FakeLLM:
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"""Duck-typed stand-in for ``LLMClient`` (``chat`` + ``settings``).
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Records the messages and the ``model`` kwarg it was called with;
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returns a canned reply or raises (e.g. :class:`LLMError`).
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"""
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def __init__(self, reply: str = REPLY, fail: Exception | None = None) -> None:
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self._reply = reply
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self._fail = fail
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self.settings = Settings(_env_file=None) # pyright: ignore[reportCallIssue]
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self.messages: list[dict[str, str]] = []
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self.model: str | None = None
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self.calls = 0
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async def chat(
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self, messages: list[dict[str, str]], model: str | None = None
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) -> str:
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self.calls += 1
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self.messages = list(messages)
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self.model = model
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if self._fail is not None:
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raise self._fail
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return self._reply
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# ---------- build_overview_prompt: system ----------
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def test_system_prompt_has_marker_and_locked_instruction() -> None:
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assert SYSTEM_PROMPT.startswith(KB_OVERVIEW_MODE)
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assert OVERVIEW_INSTRUCTION in SYSTEM_PROMPT
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for fragment in (
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"compact plain-text outline",
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"basic categories and topics",
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"Group by source",
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"use `-` bullet lines",
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"~1500 characters",
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"no markdown headings",
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"no topics not present in the list",
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):
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assert fragment in SYSTEM_PROMPT
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system, _ = build_overview_prompt([])
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assert system == SYSTEM_PROMPT
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assert KB_OVERVIEW_MODE in system # the marker the E2E mock keys on
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# ---------- build_overview_prompt: user lines ----------
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def test_user_lines_carry_source_path_title_and_first_summary_line() -> None:
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rows = [
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("Homelab", "kubernetes/k3s.md", "K3s Cluster", None),
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(
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"Deployments",
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"backups/borg.yaml",
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"Borg Backups",
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"Backups run nightly via the borg schedule.\nSource: Deployments/backups/borg.yaml",
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),
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]
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system, user = build_overview_prompt(rows)
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assert system == SYSTEM_PROMPT
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assert user == (
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"Homelab — kubernetes/k3s.md — K3s Cluster\n"
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"Deployments — backups/borg.yaml — Borg Backups — "
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"Backups run nightly via the borg schedule."
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)
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def test_user_line_omits_summary_field_when_absent() -> None:
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_, user = build_overview_prompt([("Homelab", "a.md", "Title A", None)])
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assert user == "Homelab — a.md — Title A"
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assert not user.endswith(" — ") # no dangling dash
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def test_user_line_omits_summary_field_when_blank() -> None:
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_, user = build_overview_prompt([("Homelab", "a.md", "Title A", " \n\t ")])
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assert user == "Homelab — a.md — Title A"
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def test_user_line_uses_only_first_summary_line() -> None:
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"""Multi-line summaries contribute their first line only (the
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model-written lead sentence; the ``Source: …`` pointer is last)."""
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_, user = build_overview_prompt(
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[
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(
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"Homelab",
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"a.yaml",
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"Title A",
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"First line.\nSecond line.\nSource: Homelab/a.yaml",
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)
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]
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)
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assert user == "Homelab — a.yaml — Title A — First line."
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assert "Second line" not in user
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assert "Source:" not in user
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def test_zero_rows_yield_empty_user() -> None:
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_, user = build_overview_prompt([])
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assert user == ""
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# ---------- build_overview_prompt: input cap ----------
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def test_user_prompt_truncated_with_marker_when_over_custom_cap() -> None:
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rows = [("S", f"p{i}.md", f"T{i}", None) for i in range(10)]
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_, full = build_overview_prompt(rows, max_chars=10_000)
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cap = 25
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_, user = build_overview_prompt(rows, max_chars=cap)
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assert user == full[:cap] + "\n" + TRUNCATION_MARKER
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assert user.endswith(TRUNCATION_MARKER)
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assert len(user) > cap # the marker makes the cut visible past the cap
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def test_user_prompt_at_exact_cap_not_truncated() -> None:
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rows = [("S", "p.md", "T", None)] # "S — p.md — T" = 12 chars
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_, user = build_overview_prompt(rows, max_chars=12)
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assert user == "S — p.md — T"
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assert TRUNCATION_MARKER not in user
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def test_user_prompt_truncated_at_default_cap() -> None:
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"""No explicit cap → ``BOR_OVERVIEW_INPUT_MAX_CHARS`` (read from the
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live settings, so the test holds for any configured value)."""
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cap = get_settings().overview_input_max_chars
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rows = [("S", f"p{i}.md", "T", None) for i in range(3_000)]
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_, user = build_overview_prompt(rows)
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assert user.endswith(TRUNCATION_MARKER)
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body = user.removesuffix("\n" + TRUNCATION_MARKER)
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assert len(body) == cap # cut exactly at the cap, marker on its own line
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assert "p2999.md" not in body # the overflow never reaches the model
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# ---------- load_kb_overview ----------
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def test_load_kb_overview_no_row_empty(db: Session) -> None:
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db.execute(text("DELETE FROM kb_overview"))
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db.commit()
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assert load_kb_overview(db) == ""
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def test_load_kb_overview_returns_trimmed_content(db: Session) -> None:
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db.execute(text("DELETE FROM kb_overview"))
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db.add(KbOverview(id=1, content=f" {REPLY} \n"))
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db.commit()
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assert load_kb_overview(db) == REPLY
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def test_load_kb_overview_whitespace_only_row_empty(db: Session) -> None:
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db.execute(text("DELETE FROM kb_overview"))
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db.add(KbOverview(id=1, content=" \n\t "))
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db.commit()
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assert load_kb_overview(db) == ""
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# ---------- regenerate_overview ----------
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def _add_doc(
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db: Session, source: str, path: str, title: str, summary: str | None = None
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) -> Document:
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doc = Document(
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id=uuid.uuid4(),
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source=source,
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path=path,
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full_path=f"/tmp/{path}",
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title=title,
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content="body",
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content_hash="0" * 64,
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summary=summary,
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)
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db.add(doc)
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db.commit()
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return doc
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def _truncate_documents(db: Session) -> None:
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db.execute(text("TRUNCATE chunks, documents"))
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db.commit()
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def _overview_row(db: Session) -> KbOverview | None:
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return db.get(KbOverview, 1)
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@pytest.fixture()
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def clean_overview(db: Session):
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db.execute(text("DELETE FROM kb_overview"))
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db.commit()
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yield
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db.execute(text("DELETE FROM kb_overview"))
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db.commit()
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def test_regenerate_happy_path_creates_single_row_id_1(
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db: Session, clean_overview, caplog: pytest.LogCaptureFixture
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) -> None:
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_truncate_documents(db)
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try:
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_add_doc(db, "Homelab", "b.md", "B")
|
||||
_add_doc(db, "Homelab", "a.md", "A", "A summary.\nSource: Homelab/a.md")
|
||||
llm = _FakeLLM()
|
||||
with caplog.at_level(logging.INFO, logger="app.rag.overview"):
|
||||
ok = asyncio.run(regenerate_overview(llm, db))
|
||||
assert ok is True
|
||||
assert llm.calls == 1
|
||||
row = db.get(KbOverview, 1)
|
||||
assert row is not None, "the single row must be upserted"
|
||||
assert row.id == 1
|
||||
assert row.content == REPLY
|
||||
assert row.updated_at is not None
|
||||
age = datetime.now(UTC) - row.updated_at
|
||||
assert age.total_seconds() < 300, "updated_at must be a fresh UTC timestamp"
|
||||
assert f"overview: regenerated docs=2 chars={len(REPLY)}" in caplog.text
|
||||
finally:
|
||||
_truncate_documents(db)
|
||||
|
||||
|
||||
def test_regenerate_updates_existing_row_in_place(db: Session, clean_overview) -> None:
|
||||
_truncate_documents(db)
|
||||
past = datetime(2020, 1, 1, 12, 0, 0, tzinfo=UTC)
|
||||
db.add(KbOverview(id=1, content="old outline", updated_at=past))
|
||||
db.commit()
|
||||
try:
|
||||
_add_doc(db, "Homelab", "a.md", "A")
|
||||
ok = asyncio.run(regenerate_overview(_FakeLLM(), db))
|
||||
assert ok is True
|
||||
count = db.scalar(text("SELECT count(*) FROM kb_overview"))
|
||||
assert count == 1, "still exactly one row after the re-generation"
|
||||
row = db.get(KbOverview, 1)
|
||||
assert row is not None
|
||||
assert row.content == REPLY # replaced, not appended
|
||||
assert row.updated_at is not None and row.updated_at > past
|
||||
finally:
|
||||
_truncate_documents(db)
|
||||
|
||||
|
||||
def test_regenerate_orders_documents_by_source_path(db: Session, clean_overview) -> None:
|
||||
_truncate_documents(db)
|
||||
try:
|
||||
# Inserted out of order — the model must see a deterministic order.
|
||||
_add_doc(db, "Deployments", "z.md", "Z")
|
||||
_add_doc(db, "Homelab", "b.md", "B")
|
||||
_add_doc(db, "Homelab", "a.md", "A")
|
||||
llm = _FakeLLM()
|
||||
assert asyncio.run(regenerate_overview(llm, db)) is True
|
||||
finally:
|
||||
_truncate_documents(db)
|
||||
|
||||
user = next(m["content"] for m in llm.messages if m["role"] == "user")
|
||||
assert user == (
|
||||
"Deployments — z.md — Z\nHomelab — a.md — A\nHomelab — b.md — B"
|
||||
)
|
||||
|
||||
|
||||
def test_regenerate_calls_the_configured_summary_model(
|
||||
db: Session, clean_overview
|
||||
) -> None:
|
||||
_truncate_documents(db)
|
||||
try:
|
||||
_add_doc(db, "Homelab", "a.md", "A")
|
||||
llm = _FakeLLM()
|
||||
assert asyncio.run(regenerate_overview(llm, db)) is True
|
||||
finally:
|
||||
_truncate_documents(db)
|
||||
|
||||
assert llm.model == llm.settings.llm_summary_model # the ``lite`` default
|
||||
assert llm.model == "lite"
|
||||
assert [m["role"] for m in llm.messages] == ["system", "user"]
|
||||
assert KB_OVERVIEW_MODE in llm.messages[0]["content"]
|
||||
assert "A" in llm.messages[1]["content"]
|
||||
|
||||
|
||||
def test_regenerate_zero_docs_leaves_existing_row_untouched(
|
||||
db: Session, clean_overview
|
||||
) -> None:
|
||||
db.execute(text("DELETE FROM kb_overview"))
|
||||
db.add(KbOverview(id=1, content="old outline"))
|
||||
db.commit()
|
||||
_truncate_documents(db)
|
||||
llm = _FakeLLM()
|
||||
ok = asyncio.run(regenerate_overview(llm, db))
|
||||
assert ok is False
|
||||
assert llm.calls == 0, "no KB → no wasted lite-model call"
|
||||
row = db.get(KbOverview, 1)
|
||||
assert row is not None and row.content == "old outline" # untouched
|
||||
|
||||
|
||||
def test_regenerate_zero_docs_without_row_creates_nothing(db: Session, clean_overview) -> None:
|
||||
_truncate_documents(db)
|
||||
llm = _FakeLLM()
|
||||
ok = asyncio.run(regenerate_overview(llm, db))
|
||||
assert ok is False
|
||||
assert llm.calls == 0
|
||||
assert _overview_row(db) is None, "no row must be invented for an empty KB"
|
||||
|
||||
|
||||
def test_regenerate_llm_error_leaves_previous_row_intact(
|
||||
db: Session, clean_overview, caplog: pytest.LogCaptureFixture
|
||||
) -> None:
|
||||
db.execute(text("DELETE FROM kb_overview"))
|
||||
db.add(KbOverview(id=1, content="old outline"))
|
||||
db.commit()
|
||||
_truncate_documents(db)
|
||||
try:
|
||||
_add_doc(db, "Homelab", "a.md", "A")
|
||||
llm = _FakeLLM(fail=LLMError("simulated lite-model failure"))
|
||||
with caplog.at_level(logging.ERROR, logger="app.rag.overview"):
|
||||
ok = asyncio.run(regenerate_overview(llm, db))
|
||||
assert ok is False, "fail-soft: the import must not be dragged down"
|
||||
row = db.get(KbOverview, 1)
|
||||
assert row is not None and row.content == "old outline", (
|
||||
"the previous outline stays — an old outline is better than none"
|
||||
)
|
||||
assert "overview: regeneration failed —" in caplog.text
|
||||
assert "simulated lite-model failure" in caplog.text
|
||||
finally:
|
||||
_truncate_documents(db)
|
||||
|
||||
|
||||
def test_regenerate_llm_error_without_row_creates_nothing(
|
||||
db: Session, clean_overview
|
||||
) -> None:
|
||||
_truncate_documents(db)
|
||||
try:
|
||||
_add_doc(db, "Homelab", "a.md", "A")
|
||||
llm = _FakeLLM(fail=LLMError("simulated lite-model failure"))
|
||||
ok = asyncio.run(regenerate_overview(llm, db))
|
||||
finally:
|
||||
_truncate_documents(db)
|
||||
|
||||
assert ok is False
|
||||
assert _overview_row(db) is None
|
||||
|
||||
|
||||
def test_regenerate_opens_own_session_when_none(db: Session, clean_overview) -> None:
|
||||
"""``session=None`` → a private ``SessionLocal`` session is opened,
|
||||
committed, and closed (the import-script call path)."""
|
||||
_truncate_documents(db)
|
||||
try:
|
||||
_add_doc(db, "Homelab", "a.md", "A")
|
||||
ok = asyncio.run(regenerate_overview(_FakeLLM()))
|
||||
finally:
|
||||
_truncate_documents(db)
|
||||
|
||||
assert ok is True
|
||||
row = db.get(KbOverview, 1) # fresh lookup via the test session
|
||||
assert row is not None and row.content == REPLY
|
||||
+216
-2
@@ -1,12 +1,34 @@
|
||||
"""Unit: locked persona prompt builder (PLAN §6 verbatim + both modes)."""
|
||||
"""Unit: locked persona prompt builder (PLAN §6 verbatim + both modes).
|
||||
|
||||
Also covers the phase-31 ``<knowledge_base>`` section (the stored,
|
||||
lite-generated KB outline): its own builder contract (empty → ``""``,
|
||||
char budget + ``[…truncated…]`` marker, pathological budgets), its
|
||||
placement between ``<relevance>`` and ``<tuning>`` in both modes, and
|
||||
the byte-identical-when-absent convention (phase 15 precedent).
|
||||
"""
|
||||
from __future__ import annotations
|
||||
|
||||
import uuid
|
||||
|
||||
import pytest
|
||||
|
||||
from app.config import Settings
|
||||
from app.models import Document
|
||||
from app.rag.prompts import PERSONA, _base, build_deflect_prompt, build_high_prompt
|
||||
from app.rag.prompts import (
|
||||
PERSONA,
|
||||
_base,
|
||||
build_deflect_prompt,
|
||||
build_high_prompt,
|
||||
build_kb_section,
|
||||
build_steering_section,
|
||||
)
|
||||
from app.rag.retriever import TRUNCATION_MARKER
|
||||
|
||||
#: A small multi-line outline standing in for the lite-generated one.
|
||||
OVERVIEW = "- Homelab\n - Kubernetes (k3s)\n- Deployments\n - Borg backups"
|
||||
|
||||
#: The locked one-line intro of the ``<knowledge_base>`` section.
|
||||
KB_INTRO = "The basic categories of everything in this knowledge base (generated at import time):"
|
||||
|
||||
|
||||
def _doc(path: str, content: str, title: str) -> Document:
|
||||
@@ -116,3 +138,195 @@ def test_zero_note_prompt_is_byte_identical_to_pre_steering() -> None:
|
||||
def test_relevance_placeholder_rejected_for_garbage() -> None:
|
||||
with pytest.raises(ValueError, match="HIGH or LOW"):
|
||||
_base("MEDIUM")
|
||||
|
||||
|
||||
# ---------- <knowledge_base> section (phase 31) ----------
|
||||
|
||||
|
||||
def test_kb_section_empty_when_no_overview() -> None:
|
||||
assert build_kb_section("") == ""
|
||||
assert build_kb_section(" \n\t ") == ""
|
||||
|
||||
|
||||
def test_kb_section_format_intro_and_content() -> None:
|
||||
assert build_kb_section(OVERVIEW) == (
|
||||
f"<knowledge_base>\n{KB_INTRO}\n{OVERVIEW}\n</knowledge_base>"
|
||||
)
|
||||
|
||||
|
||||
def test_kb_section_trims_overview_edges() -> None:
|
||||
assert build_kb_section(f" {OVERVIEW} \n") == build_kb_section(OVERVIEW)
|
||||
|
||||
|
||||
def test_kb_section_fits_budget_exactly_no_marker() -> None:
|
||||
exact = f"<knowledge_base>\n{KB_INTRO}\n{OVERVIEW}\n</knowledge_base>"
|
||||
section = build_kb_section(OVERVIEW, max_chars=len(exact))
|
||||
assert TRUNCATION_MARKER not in section
|
||||
assert section == exact
|
||||
|
||||
|
||||
def test_kb_section_over_budget_capped_with_marker() -> None:
|
||||
text = "- " + "x" * 500
|
||||
# The section frame alone is 121 chars, so the cap must clear it for
|
||||
# any outline prefix to fit (pathological budgets are tested below).
|
||||
cap = 200
|
||||
section = build_kb_section(text, max_chars=cap)
|
||||
assert len(section) <= cap # the budget is never exceeded
|
||||
assert TRUNCATION_MARKER in section
|
||||
assert section.startswith(f"<knowledge_base>\n{KB_INTRO}\n-")
|
||||
assert section.endswith(f"{TRUNCATION_MARKER}\n</knowledge_base>")
|
||||
# The body is the kept prefix + the marker on its own line, and the
|
||||
# kept part must be a true prefix of the outline (longest-fitting).
|
||||
body = section.removeprefix(f"<knowledge_base>\n{KB_INTRO}\n").removesuffix(
|
||||
"\n</knowledge_base>"
|
||||
)
|
||||
kept, marker = body.rsplit("\n", 1)
|
||||
assert marker == TRUNCATION_MARKER
|
||||
assert kept.startswith("- ")
|
||||
assert text.startswith(kept), "the kept part must be a prefix of the outline"
|
||||
# And it is the longest such prefix: one more char would not fit.
|
||||
assert len(section) > cap - 2, "the cut must sit as close to the cap as possible"
|
||||
|
||||
|
||||
def test_kb_section_default_budget_from_settings(monkeypatch: pytest.MonkeyPatch) -> None:
|
||||
from app.rag import prompts as prompts_mod
|
||||
|
||||
monkeypatch.setattr(
|
||||
prompts_mod, "get_settings", lambda: Settings(_env_file=None) # pyright: ignore[reportCallIssue]
|
||||
)
|
||||
text = "y" * 9_000 # > the 4 000-char default
|
||||
section = build_kb_section(text)
|
||||
assert TRUNCATION_MARKER in section
|
||||
assert len(section) <= 4_000
|
||||
|
||||
|
||||
def test_kb_section_nonpositive_budget_is_empty() -> None:
|
||||
assert build_kb_section(OVERVIEW, max_chars=0) == ""
|
||||
assert build_kb_section(OVERVIEW, max_chars=-10) == ""
|
||||
|
||||
|
||||
def test_kb_section_tiny_budget_never_exceeds_cap() -> None:
|
||||
# Pathological budget (steering precedent, phase 15): the section must
|
||||
# never exceed the cap — bare marker when it fits, no section at all
|
||||
# when even that doesn't.
|
||||
assert build_kb_section("a" * 500, max_chars=10) == "" # marker (13) > 10
|
||||
fits_marker = build_kb_section("a" * 500, max_chars=len(TRUNCATION_MARKER))
|
||||
assert fits_marker == TRUNCATION_MARKER
|
||||
|
||||
|
||||
# ---------- <knowledge_base> placement (both modes) ----------
|
||||
|
||||
|
||||
def test_no_overview_prompt_is_byte_identical_to_pre_phase() -> None:
|
||||
"""Phase 31 contract: with no KB overview (None, empty, or blank)
|
||||
every prompt is exactly what it was before the ``<knowledge_base>``
|
||||
section existed — with or without steering notes."""
|
||||
doc = _doc("kubernetes.md", "Talos Linux on three nodes.", "Kubernetes Homelab Cluster")
|
||||
block = (
|
||||
'<document source="Homelab" path="kubernetes.md" title="Kubernetes Homelab Cluster">\n'
|
||||
"Talos Linux on three nodes.\n"
|
||||
"</document>"
|
||||
)
|
||||
docs_block = "\n<documents>\n" + block + "\n</documents>"
|
||||
high_plain = _base("HIGH") + docs_block
|
||||
high_steered = _base("HIGH") + "\n" + build_steering_section(["be concise"]) + docs_block
|
||||
low_plain = (
|
||||
_base("LOW")
|
||||
+ "\nDEFLECT_MODE: retrieval was weak — the titles below are the closest "
|
||||
"your notes come to the question. They are titles only; do not pretend "
|
||||
"they answer it. Use them to propose 2-3 alternative questions.\n"
|
||||
+ "- T1\n- T2"
|
||||
)
|
||||
low_steered = (
|
||||
_base("LOW")
|
||||
+ "\n"
|
||||
+ build_steering_section(["be concise"])
|
||||
+ "\nDEFLECT_MODE: retrieval was weak — the titles below are the closest "
|
||||
"your notes come to the question. They are titles only; do not pretend "
|
||||
"they answer it. Use them to propose 2-3 alternative questions.\n"
|
||||
+ "- T1\n- T2"
|
||||
)
|
||||
for kb in (None, "", " \n\t "):
|
||||
assert build_high_prompt([doc], kb_overview=kb) == high_plain
|
||||
assert build_high_prompt([doc], notes=["be concise"], kb_overview=kb) == high_steered
|
||||
assert build_deflect_prompt(["T1", "T2"], kb_overview=kb) == low_plain
|
||||
assert build_deflect_prompt(
|
||||
["T1", "T2"], notes=["be concise"], kb_overview=kb
|
||||
) == low_steered
|
||||
assert "<knowledge_base>" not in build_high_prompt(
|
||||
[doc], notes=["be concise"], kb_overview=kb
|
||||
)
|
||||
assert "<knowledge_base>" not in build_deflect_prompt(
|
||||
["T1"], notes=["be concise"], kb_overview=kb
|
||||
)
|
||||
|
||||
|
||||
def test_high_prompt_kb_section_ordered_between_relevance_and_tuning() -> None:
|
||||
doc = _doc("kubernetes.md", "TALOS_DOC_CONTENT", "Kubernetes Homelab Cluster")
|
||||
prompt = build_high_prompt([doc], notes=["be concise"], kb_overview=OVERVIEW)
|
||||
i_rel = prompt.index("<relevance>HIGH</relevance>")
|
||||
i_kb_open = prompt.index("<knowledge_base>")
|
||||
i_kb_close = prompt.index("</knowledge_base>")
|
||||
i_tuning = prompt.index("<tuning>")
|
||||
i_docs = prompt.index("<documents>")
|
||||
assert i_rel < i_kb_open < i_kb_close < i_tuning < i_docs
|
||||
assert KB_INTRO in prompt
|
||||
assert OVERVIEW in prompt # outline intact within the section
|
||||
assert "1. be concise" in prompt # steering still there
|
||||
assert "TALOS_DOC_CONTENT" in prompt # documents still full
|
||||
|
||||
|
||||
def test_high_prompt_kb_section_without_steering() -> None:
|
||||
doc = _doc("kubernetes.md", "TALOS_DOC_CONTENT", "Kubernetes Homelab Cluster")
|
||||
prompt = build_high_prompt([doc], kb_overview=OVERVIEW)
|
||||
i_rel = prompt.index("<relevance>HIGH</relevance>")
|
||||
i_kb_close = prompt.index("</knowledge_base>")
|
||||
i_docs = prompt.index("<documents>")
|
||||
assert i_rel < i_kb_close < i_docs
|
||||
assert "<tuning>" not in prompt # no notes → no steering section
|
||||
assert build_kb_section(OVERVIEW) in prompt
|
||||
|
||||
|
||||
def test_deflect_prompt_kb_section_ordered_between_relevance_and_tuning() -> None:
|
||||
prompt = build_deflect_prompt(
|
||||
["Title A", "Title B"], notes=["be concise"], kb_overview=OVERVIEW
|
||||
)
|
||||
i_rel = prompt.index("<relevance>LOW</relevance>")
|
||||
i_kb_open = prompt.index("<knowledge_base>")
|
||||
i_kb_close = prompt.index("</knowledge_base>")
|
||||
i_tuning = prompt.index("<tuning>")
|
||||
i_mode = prompt.index("DEFLECT_MODE")
|
||||
assert i_rel < i_kb_open < i_kb_close < i_tuning < i_mode
|
||||
assert KB_INTRO in prompt
|
||||
assert OVERVIEW in prompt
|
||||
assert "1. be concise" in prompt
|
||||
assert "- Title A" in prompt # weak-hit titles still carried
|
||||
|
||||
|
||||
def test_prompt_kb_section_over_settings_budget_capped_with_marker(
|
||||
monkeypatch: pytest.MonkeyPatch,
|
||||
) -> None:
|
||||
"""Prompt-level budget: an overview longer than
|
||||
``kb_overview_max_chars`` is capped with the shared marker — in both
|
||||
modes."""
|
||||
from app.rag import prompts as prompts_mod
|
||||
|
||||
monkeypatch.setattr(
|
||||
prompts_mod,
|
||||
"get_settings",
|
||||
# 200 > the 121-char section frame, so a prefix + marker can fit.
|
||||
lambda: Settings(_env_file=None, kb_overview_max_chars=200), # pyright: ignore[reportCallIssue]
|
||||
)
|
||||
text = "- " + "z" * 500
|
||||
doc = _doc("kubernetes.md", "TALOS_DOC_CONTENT", "Kubernetes Homelab Cluster")
|
||||
for prompt in (
|
||||
build_high_prompt([doc], kb_overview=text),
|
||||
build_deflect_prompt(["Title A"], kb_overview=text),
|
||||
):
|
||||
assert TRUNCATION_MARKER in prompt
|
||||
assert prompt.index("<knowledge_base>") < prompt.index(TRUNCATION_MARKER)
|
||||
# The capped section (open tag through close tag) fits the budget.
|
||||
section = prompt[prompt.index("<knowledge_base>") :]
|
||||
close = section.index("</knowledge_base>")
|
||||
section = section[: close + len("</knowledge_base>")]
|
||||
assert len(section) <= 200
|
||||
|
||||
Reference in New Issue
Block a user