library-desk/tests/test_consolidation_repair.py

"""
Offline regression tests for the consolidation-loop repair (Phase C item 4).

Production failure mode being locked in:
- The generation LLM was unavailable (OLLAMA_MODEL env collision made every
  /api/generate call 400), classification returned empty, and the loop
  STILL marked every SearchQuery processed - permanently draining the queue
  with zero output. Every subsequent 30-minute run then logged
  'No unprocessed searches found'.

The repaired behavior:
- LLM-infrastructure failure raises ConsolidationLLMUnavailableError, the
  affected searches stay UNPROCESSED (retried next run), and the run reports
  searches_deferred.
- Successful classification still consumes searches.
- Every run logs searches_processed and duration_ms.

All clients are mocked - no shared services are contacted.
"""

import json
from unittest.mock import AsyncMock, MagicMock

import pytest

from src.services.consolidation_service import (
    ConsolidationLLMUnavailableError,
    ConsolidationService,
)

TEST_USER = "llm_tester"


def _search_row(search_id: str, query: str = "test query", web_count: int = 3):
    return {
        "id": search_id,
        "query": query,
        "user": TEST_USER,
        "timestamp": "2026-07-14T00:00:00Z",
        "total_results": web_count,
        "web_count": web_count,
        "keywords": ["test"],
    }


def _web_result_row(url: str = "https://example.com/a"):
    return {
        "url": url,
        "title": "Example",
        "content": "Example content about the query.",
        "rank": 1,
        "rrf_score": 0.5,
    }


def _make_service(searches, ollama_response):
    """ConsolidationService with a scripted Neo4j and Ollama."""
    neo4j = AsyncMock()
    executed = []

    async def fake_query(cypher, params=None):
        executed.append((cypher, params or {}))
        if "processed: false" in cypher:
            return searches
        if "FOUND]->(wr:WebResult)" in cypher:
            return [_web_result_row()]
        return []

    neo4j.execute_query = AsyncMock(side_effect=fake_query)

    ollama = AsyncMock()
    ollama.generate_text = AsyncMock(return_value=ollama_response)

    wiki = AsyncMock()
    wiki.get_taxonomy_structure = AsyncMock(return_value={})

    settings = MagicMock()
    settings.ollama_llm_model = "gemma4:e2b"

    service = ConsolidationService(
        neo4j=neo4j, ollama=ollama, wiki=wiki, settings=settings
    )
    return service, executed


def _mark_processed_calls(executed):
    return [(c, p) for c, p in executed if "SET sq.processed = true" in c]


class TestLLMUnavailableDoesNotConsumeSearches:
    @pytest.mark.asyncio
    async def test_searches_stay_unprocessed_when_llm_returns_none(self):
        """generate_text -> None (transport/HTTP failure): defer, don't consume."""
        searches = [_search_row("aaaa1111"), _search_row("bbbb2222")]
        service, executed = _make_service(searches, ollama_response=None)

        response = await service.consolidate_knowledge()

        assert response.total_found == 2
        assert response.processed_count == 0
        assert response.searches_deferred == 2
        assert response.errors and "unavailable" in response.errors[0].lower()
        # THE regression guard: no search was marked processed
        assert _mark_processed_calls(executed) == []

    @pytest.mark.asyncio
    async def test_searches_stay_unprocessed_when_llm_returns_empty(self):
        """An empty completion is an infra anomaly, not 'nothing to route'."""
        service, executed = _make_service([_search_row("cccc3333")], "")

        response = await service.consolidate_knowledge()

        assert response.searches_deferred == 1
        assert _mark_processed_calls(executed) == []

    @pytest.mark.asyncio
    async def test_classification_raises_on_no_output(self):
        service, _ = _make_service([], None)
        with pytest.raises(ConsolidationLLMUnavailableError):
            await service._classify_web_results_unified(
                query="q", web_results=[_web_result_row()], keywords=[], user=TEST_USER
            )

    @pytest.mark.asyncio
    async def test_batch_aborts_after_first_llm_failure(self):
        """When the LLM is down it is down for all searches: one probe, then stop."""
        searches = [_search_row(f"id{i}", web_count=5) for i in range(5)]
        service, executed = _make_service(searches, ollama_response=None)

        response = await service.consolidate_knowledge()

        assert response.searches_deferred == 5
        # Only the first search's classification was attempted
        assert service.ollama.generate_text.await_count == 1


class TestSuccessfulRunsStillConsume:
    @pytest.mark.asyncio
    async def test_valid_classification_marks_processed(self):
        classification = json.dumps([{
            "url": "https://example.com/a",
            "title": "Example",
            "route_type": "skip",
            "confidence": 0.9,
            "reason": "low value",
        }])
        service, executed = _make_service([_search_row("dddd4444")], classification)

        response = await service.consolidate_knowledge()

        assert response.total_found == 1
        assert response.processed_count == 1
        assert response.searches_deferred == 0
        marked = _mark_processed_calls(executed)
        assert len(marked) == 1
        assert marked[0][1]["search_id"] == "dddd4444"

    @pytest.mark.asyncio
    async def test_unparseable_output_still_consumes_search(self):
        """Model responded with junk: consume (avoid retrying a bad prompt forever)."""
        service, executed = _make_service(
            [_search_row("eeee5555")], "not json at all"
        )

        response = await service.consolidate_knowledge()

        assert response.searches_deferred == 0
        assert len(_mark_processed_calls(executed)) == 1

    @pytest.mark.asyncio
    async def test_skipped_low_web_search_still_consumed(self):
        """Insufficient web results: intentionally consumed (existing behavior)."""
        service, executed = _make_service(
            [_search_row("ffff6666", web_count=0)], None
        )

        response = await service.consolidate_knowledge()

        assert response.searches_deferred == 0
        assert len(_mark_processed_calls(executed)) == 1
        # LLM never called for a skipped search
        service.ollama.generate_text.assert_not_awaited()


class TestRunLogging:
    @pytest.mark.asyncio
    async def test_logs_searches_processed_and_duration(self, caplog):
        service, _ = _make_service([], None)

        with caplog.at_level("INFO"):
            response = await service.consolidate_knowledge()

        assert response.duration_ms >= 0
        run_logs = [r.message for r in caplog.records
                    if "Consolidation run complete" in r.message]
        assert run_logs, "every run must emit the run-complete log line"
        assert "searches_processed=0" in run_logs[0]
        assert "duration_ms=" in run_logs[0]

    @pytest.mark.asyncio
    async def test_logs_on_deferred_run(self, caplog):
        service, _ = _make_service([_search_row("gggg7777")], None)

        with caplog.at_level("INFO"):
            response = await service.consolidate_knowledge()

        assert response.duration_ms >= 0
        run_logs = [r.message for r in caplog.records
                    if "Consolidation run complete" in r.message]
        assert run_logs
        assert "searches_deferred=1" in run_logs[0]

    @pytest.mark.asyncio
    async def test_lookback_parameter_is_utc_aware(self):
        """The lookback boundary must be timezone-aware UTC (Neo4j datetime()
        interprets naive strings as UTC, shifting the window on CET hosts)."""
        service, executed = _make_service([], None)

        await service.consolidate_knowledge(lookback_days=7)

        find_calls = [(c, p) for c, p in executed if "processed: false" in c]
        assert find_calls
        lookback = find_calls[0][1]["lookback_date"]
        assert "+00:00" in lookback or lookback.endswith("Z")