content-find-agent-new/tests/test_query_effect_aggregation.py

from __future__ import annotations

from content_agent.business_modules.run_record import recorder
from content_agent.integrations.policy_json import JsonPolicyBundleStore
from content_agent.run_service import RunService
from content_agent.schemas import RunStartRequest
from tests.p1_helpers import FakeQueryVariantClient, REAL_SOURCE_FIXTURE


def test_search_clues_aggregate_query_effect_status_from_decisions(tmp_path):
    service = RunService(
        runtime_root=tmp_path / "runtime" / "v1",
        query_variant_client=FakeQueryVariantClient(),
    )
    state = service.start_run(
        RunStartRequest(platform_mode="mock", source=str(REAL_SOURCE_FIXTURE))
    )

    clues = {
        clue["search_query_id"]: clue
        for clue in service.read_jsonl(state["run_id"], "search_clues.jsonl")
    }

    # M3 受控变化: mock content scores relevance 60 + zero platform_heat = 60, so both
    # of q_001's contents land in the review band → query aggregates to pending.
    assert clues["q_001"]["search_query_effect_status"] == "pending"
    assert clues["q_001"]["effect_status_counts"] == {"pending": 2}
    assert clues["q_001"]["query_aggregation_id"] == "agg_query_pending"
    assert clues["q_001"]["raw_payload"]["query_aggregation_id"] == "agg_query_pending"
    assert clues["q_001"]["walk_next_step"] == "review_later_or_small_budget"
    assert clues["q_002"]["search_query_effect_status"] == "pending"
    assert clues["q_002"]["effect_status_counts"] == {"pending": 1}
    assert clues["q_002"]["query_aggregation_id"] == "agg_query_pending"
    assert clues["q_002"]["walk_next_step"] == "review_later_or_small_budget"


def test_rule_blocked_only_query_aggregates_to_rule_blocked():
    runtime = _RecordingRuntime()
    policy_bundle = JsonPolicyBundleStore().load_policy_bundle("V1")

    recorder.run(
        run_id="run_001",
        policy_run_id="policy_run_001",
        search_queries=[
            {
                "search_query_id": "q_001",
                "search_query": "爱国情感",
                "discovery_start_source": "pattern_seed",
                "previous_discovery_step": "search_query_generated",
            }
        ],
        discovered_content_items=[
            {
                "platform_content_id": "content_rule_blocked",
                "search_query_id": "q_001",
            }
        ],
        decisions=[
            {
                "decision_target_id": "content_rule_blocked",
                "decision_action": "REJECT_CONTENT",
                "search_query_effect_status": "rule_blocked",
            }
        ],
        source_path_record_basis=[],
        policy_bundle=policy_bundle,
        runtime=runtime,
    )

    clue = runtime.rows["search_clues.jsonl"][0]
    assert clue["search_query_effect_status"] == "rule_blocked"
    assert clue["query_aggregation_id"] == "agg_query_rule_blocked"
    assert clue["raw_payload"]["query_aggregation_id"] == "agg_query_rule_blocked"
    assert clue["walk_next_step"] == "stop_search_query"


def test_platform_query_failure_stays_failed(tmp_path):
    service = RunService(
        runtime_root=tmp_path / "runtime" / "v1",
        query_variant_client=FakeQueryVariantClient(),
    )
    service._platform_client = lambda platform, platform_mode: _PartialFailurePlatformClient()
    state = service.start_run(
        RunStartRequest(platform_mode="real", source=str(REAL_SOURCE_FIXTURE))
    )

    failed_clue = next(
        clue for clue in service.read_jsonl(state["run_id"], "search_clues.jsonl")
        if clue["search_query_id"] == "q_002"
    )
    assert failed_clue["search_query_effect_status"] == "failed"
    assert failed_clue["query_aggregation_id"] == "platform_query_failure"
    assert failed_clue["walk_next_step"] == "stop_search_query"


class _PartialFailurePlatformClient:
    def search(self, query):
        if query["search_query_id"] == "q_002":
            raise RuntimeError("platform unavailable")
        return []


class _RecordingRuntime:
    def __init__(self):
        self.rows = {}

    def append_jsonl(self, _run_id, filename, rows):
        self.rows[filename] = rows