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553 lines
21 KiB
Python
553 lines
21 KiB
Python
import copy
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import io
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import json
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from contextlib import redirect_stderr, redirect_stdout
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from pathlib import Path
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from unittest import mock
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import pytest
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import last30days as cli
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from lib import pipeline, planner, render, schema
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def _item(item_id: str, source: str, title: str, url: str) -> schema.SourceItem:
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return schema.SourceItem(
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item_id=item_id,
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source=source,
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title=title,
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body=f"Body for {title}",
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url=url,
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snippet=f"Evidence about {title}",
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local_rank_score=0.9,
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)
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def _candidate(item: schema.SourceItem, score: float = 80.0) -> schema.Candidate:
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return schema.Candidate(
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candidate_id=f"cand-{item.item_id}",
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item_id=item.item_id,
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source=item.source,
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title=item.title,
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url=item.url,
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snippet=item.snippet,
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subquery_labels=["primary"],
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native_ranks={item.source: 1},
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local_relevance=0.9,
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freshness=90,
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engagement=10,
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source_quality=0.8,
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rrf_score=0.1,
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sources=[item.source],
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source_items=[item],
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final_score=score,
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)
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def _report(*, drill: bool = False) -> schema.Report:
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ban = _item(
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"ban",
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"reddit",
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"OpenClaw API ban discussion",
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"https://reddit.example/ban",
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)
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policy = _item(
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"policy",
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"youtube",
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"OpenClaw policy explained",
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"https://youtube.example/policy",
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)
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release = _item(
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"release",
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"hackernews",
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"OpenClaw ships a new release",
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"https://news.example/release",
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)
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candidates = [_candidate(ban, 92), _candidate(policy, 85), _candidate(release, 70)]
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clusters = [
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schema.Cluster(
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cluster_id="cluster-1",
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title="OpenClaw API ban discussion",
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candidate_ids=[candidates[0].candidate_id, candidates[1].candidate_id],
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representative_ids=[candidates[0].candidate_id],
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sources=["reddit", "youtube"],
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score=92,
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),
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schema.Cluster(
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cluster_id="cluster-2",
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title="OpenClaw release notes",
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candidate_ids=[candidates[2].candidate_id],
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representative_ids=[candidates[2].candidate_id],
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sources=["hackernews"],
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score=70,
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),
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]
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if drill:
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deeper = _item(
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"deeper",
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"reddit",
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"OpenClaw API policy enforcement details",
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"https://reddit.example/deeper",
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)
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# The first result repeats the cached URL; merge must keep one copy.
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candidates = [_candidate(ban, 95), _candidate(deeper, 90)]
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clusters = [
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schema.Cluster(
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cluster_id="cluster-1",
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title="OpenClaw API policy enforcement details",
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candidate_ids=[candidate.candidate_id for candidate in candidates],
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representative_ids=[candidate.candidate_id for candidate in candidates],
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sources=["reddit"],
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score=95,
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)
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]
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items_by_source = {"reddit": [ban, deeper]}
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else:
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items_by_source = {
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"reddit": [ban],
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"youtube": [policy],
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"hackernews": [release],
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}
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return schema.Report(
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topic="OpenClaw API policy" if drill else "OpenClaw",
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range_from="2026-06-10",
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range_to="2026-07-10",
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generated_at="2026-07-10T12:00:00+00:00",
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provider_runtime=schema.ProviderRuntime(
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reasoning_provider="local",
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planner_model="mock-planner",
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rerank_model="mock-reranker",
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),
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query_plan=schema.QueryPlan(
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intent="opinion",
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freshness_mode="balanced_recent",
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cluster_mode="debate",
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raw_topic="OpenClaw",
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subqueries=[
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schema.SubQuery(
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label="primary",
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search_query="OpenClaw",
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ranking_query="What is happening with OpenClaw?",
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sources=list(items_by_source),
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)
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],
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source_weights={source: 1.0 for source in items_by_source},
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),
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clusters=clusters,
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ranked_candidates=candidates,
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items_by_source=items_by_source,
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errors_by_source={},
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source_status={
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source: schema.SourceOutcome(
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source=source,
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state="ok",
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items_returned=len(items),
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)
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for source, items in items_by_source.items()
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},
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)
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def test_cluster_resolution_by_index_and_number():
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report = _report()
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assert planner.resolve_drill_clusters(report, "cluster 2")[0].cluster_id == "cluster-2"
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assert planner.resolve_drill_clusters(report, "1")[0].cluster_id == "cluster-1"
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def test_cluster_resolution_by_fuzzy_title_and_entities():
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matched = planner.resolve_drill_clusters(
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_report(),
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"what is behind the OpenClaw API ban?",
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)
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assert [cluster.cluster_id for cluster in matched] == ["cluster-1"]
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def test_cluster_resolution_no_match_prints_candidates():
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with pytest.raises(planner.DrillTargetError) as exc:
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planner.resolve_drill_clusters(_report(), "quantum potato harvest")
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message = str(exc.value)
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assert "Available clusters" in message
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assert "1. OpenClaw API ban discussion" in message
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assert "2. OpenClaw release notes" in message
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def test_build_drill_plan_only_uses_contributing_sources_and_cluster_terms():
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plan = planner.build_drill_plan(_report(), "cluster 1")
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assert set(plan.source_weights) == {"reddit", "youtube"}
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assert all(set(subquery.sources) == {"reddit", "youtube"} for subquery in plan.subqueries)
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assert all("hackernews" not in subquery.sources for subquery in plan.subqueries)
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assert "drill-mode" in plan.notes
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assert any("openclaw" in subquery.search_query.lower() for subquery in plan.subqueries)
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def test_merge_dedupes_new_results_preserves_other_clusters_and_renders_context():
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base = _report()
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merged = pipeline.merge_drill_report(
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base,
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_report(drill=True),
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[base.clusters[0]],
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target="cluster 1",
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)
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assert merged.drill_of == "OpenClaw API ban discussion"
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assert [cluster.cluster_id for cluster in merged.clusters] == ["cluster-1", "cluster-2"]
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assert len([item for item in merged.items_by_source["reddit"] if item.url.endswith("/ban")]) == 1
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assert any(item.url.endswith("/deeper") for item in merged.items_by_source["reddit"])
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assert merged.artifacts["drill_context"]["new_items"] == 1
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assert len(merged.artifacts["drill_history"]) == 1
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output = render.render_compact(merged)
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assert "## Drill Follow-up" in output
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assert "### Original" in output
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assert "### Deeper" in output
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def test_merge_dedupes_drill_candidates_against_untouched_clusters():
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base = _report()
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drill_report = _report(drill=True)
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rediscovered = copy.deepcopy(base.ranked_candidates[2])
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drill_report.ranked_candidates.append(rediscovered)
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drill_report.clusters[0].candidate_ids.append(rediscovered.candidate_id)
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merged = pipeline.merge_drill_report(
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base,
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drill_report,
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[base.clusters[0]],
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target="cluster 1",
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)
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candidate_ids = [candidate.candidate_id for candidate in merged.ranked_candidates]
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assert candidate_ids.count(rediscovered.candidate_id) == 1
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assert rediscovered.candidate_id not in merged.clusters[0].candidate_ids
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assert rediscovered.candidate_id in merged.clusters[1].candidate_ids
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def test_merge_retains_enriched_rediscovery_in_untouched_cluster():
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base = _report()
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base.ranked_candidates[2].cluster_id = "cluster-2"
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drill_report = _report(drill=True)
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rediscovered = copy.deepcopy(base.ranked_candidates[2])
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rediscovered.snippet = "Enriched release evidence from the drill"
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rediscovered.engagement = 321
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rediscovered.source_items[0].snippet = "Transcript-backed release evidence"
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rediscovered.source_items[0].engagement = {"comments": 42}
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rediscovered.source_items[0].metadata = {
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"transcript": "Detailed release transcript",
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"comments": ["Useful community context"],
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}
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drill_report.ranked_candidates.append(rediscovered)
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merged = pipeline.merge_drill_report(
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base,
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drill_report,
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[base.clusters[0]],
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target="cluster 1",
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)
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retained = next(
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candidate
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for candidate in merged.ranked_candidates
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if candidate.candidate_id == rediscovered.candidate_id
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)
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assert retained.cluster_id == base.ranked_candidates[2].cluster_id
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assert retained.snippet == "Enriched release evidence from the drill"
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assert retained.engagement == 321
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assert retained.source_items[0].metadata["transcript"] == "Detailed release transcript"
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assert retained.source_items[0].engagement == {"comments": 42}
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def test_merge_recomputes_attempted_source_health_from_retained_evidence():
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base = _report()
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base.errors_by_source["reddit"] = "cached timeout"
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base.source_status["reddit"] = schema.SourceOutcome(
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source="reddit",
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state=schema.RATE_LIMITED,
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detail="cached timeout",
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)
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base.warnings = [
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"Some sources failed: reddit",
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"No candidates survived retrieval and ranking.",
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]
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drill_report = _report(drill=True)
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drill_report.source_status["youtube"] = schema.SourceOutcome(
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source="youtube",
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state=schema.NO_RESULTS,
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items_returned=0,
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)
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merged = pipeline.merge_drill_report(
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base,
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drill_report,
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[base.clusters[0]],
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target="cluster 1",
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)
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assert "reddit" not in merged.errors_by_source
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assert merged.source_status["reddit"].state == "ok"
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assert merged.source_status["youtube"].state == "ok"
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assert merged.source_status["youtube"].items_returned == 1
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assert not any("Some sources failed" in warning for warning in merged.warnings)
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assert "No candidates survived retrieval and ranking." not in merged.warnings
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def test_expired_cache_exits_cleanly_with_research_guidance(tmp_path: Path):
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config_dir = tmp_path / "config"
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with mock.patch.object(cli.env, "CONFIG_DIR", config_dir):
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cli._write_last_run("OpenClaw", _report())
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cache_path = config_dir / "last-report.json"
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payload = json.loads(cache_path.read_text(encoding="utf-8"))
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payload["timestamp"] = "2026-01-01T00:00:00+00:00"
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cache_path.write_text(json.dumps(payload), encoding="utf-8")
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with mock.patch.object(cli.env, "CONFIG_DIR", config_dir), \
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mock.patch.object(cli.env, "get_config", return_value={}), \
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mock.patch.object(cli.pipeline, "run", side_effect=AssertionError("pipeline should not run")), \
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mock.patch.object(cli.sys, "argv", ["last30days.py", "--drill", "cluster 1"]):
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stderr = io.StringIO()
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with redirect_stderr(stderr):
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rc = cli.main()
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assert rc == 2
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assert "run a research pass first" in stderr.getvalue()
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def test_non_object_cache_is_unavailable_with_warning(tmp_path: Path):
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config_dir = tmp_path / "config"
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config_dir.mkdir()
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(config_dir / "last-report.json").write_text("[]", encoding="utf-8")
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with mock.patch.object(cli.env, "CONFIG_DIR", config_dir):
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stderr = io.StringIO()
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with redirect_stderr(stderr):
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cached = cli._load_last_report_cache(None)
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assert cached is None
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assert "Could not read report cache" in stderr.getvalue()
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def test_drill_publish_html_requires_html_emit_before_dispatch():
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parser = cli.build_parser()
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args = parser.parse_args(["--drill", "cluster 1", "--publish-html"])
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with mock.patch.object(cli.env, "get_config", return_value={}), \
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mock.patch.object(cli, "_run_drill") as run_drill:
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stderr = io.StringIO()
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with redirect_stderr(stderr):
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rc = cli._main(parser, args, [])
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assert rc == 2
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assert "--publish-html requires --emit=html" in stderr.getvalue()
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run_drill.assert_not_called()
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def test_drill_applies_config_backed_source_filters_before_dispatch():
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parser = cli.build_parser()
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args = parser.parse_args([
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"--drill", "cluster 1",
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"--dedicated-subreddits", "r/OpenClaw, OpenClawDev",
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"--polymarket-keywords", "API, Policy",
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])
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with mock.patch.object(cli.env, "get_config", return_value={}), \
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mock.patch.object(cli, "_run_drill", return_value=0) as run_drill:
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assert cli._main(parser, args, []) == 0
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drill_config = run_drill.call_args.args[1]
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assert drill_config["_dedicated_subreddits"] == ["OpenClaw", "OpenClawDev"]
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assert drill_config["_polymarket_keywords"] == ["api", "policy"]
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def test_drill_inherits_cached_historical_window(tmp_path: Path):
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config_dir = tmp_path / "config"
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cached_report = _report()
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cached_report.range_from = "2026-05-01"
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cached_report.range_to = "2026-05-08"
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with mock.patch.object(cli.env, "CONFIG_DIR", config_dir):
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cli._write_last_run("OpenClaw", cached_report)
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args = cli.build_parser().parse_args(["--drill", "cluster 1", "--mock"])
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with mock.patch.object(cli.env, "CONFIG_DIR", config_dir), \
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mock.patch.object(cli.pipeline, "diagnose", return_value={}), \
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mock.patch.object(cli.pipeline, "run", return_value=_report(drill=True)) as run_mock, \
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mock.patch.object(cli, "_show_runtime_ui"), \
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redirect_stdout(io.StringIO()), redirect_stderr(io.StringIO()):
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assert cli._run_drill(args, {}) == 0
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assert run_mock.call_args.kwargs["lookback_days"] == 7
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assert run_mock.call_args.kwargs["as_of_date"] == "2026-05-08"
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def test_drill_uses_cached_financial_topic_while_plan_stays_cluster_focused(tmp_path: Path):
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config_dir = tmp_path / "config"
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cached_report = _report()
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stock_item = _item(
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"now",
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"stocktwits",
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"AI agent rollout",
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"https://stocktwits.example/now",
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)
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stock_candidate = _candidate(stock_item, 95)
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cached_report.topic = "ServiceNow $NOW stock"
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cached_report.ranked_candidates = [stock_candidate]
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cached_report.clusters = [schema.Cluster(
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cluster_id="cluster-1",
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title="AI agent rollout",
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candidate_ids=[stock_candidate.candidate_id],
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representative_ids=[stock_candidate.candidate_id],
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sources=["stocktwits"],
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score=95,
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)]
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cached_report.items_by_source = {"stocktwits": [stock_item]}
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cached_report.query_plan.source_weights = {"stocktwits": 1.0}
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with mock.patch.object(cli.env, "CONFIG_DIR", config_dir):
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cli._write_last_run(cached_report.topic, cached_report)
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args = cli.build_parser().parse_args(["--drill", "cluster 1", "--mock"])
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with mock.patch.object(cli.env, "CONFIG_DIR", config_dir), \
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mock.patch.object(cli.pipeline, "diagnose", return_value={}), \
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mock.patch.object(cli.pipeline, "run", return_value=_report(drill=True)) as run_mock, \
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mock.patch.object(cli, "_show_runtime_ui"), \
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redirect_stdout(io.StringIO()), redirect_stderr(io.StringIO()):
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assert cli._run_drill(args, {}) == 0
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call = run_mock.call_args.kwargs
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assert call["topic"] == "ServiceNow $NOW stock"
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assert call["external_plan"]["subqueries"][0]["search_query"] == "AI agent rollout"
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assert call["requested_sources"] == ["stocktwits"]
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def test_cli_drill_runs_deep_updates_cache_and_can_chain(tmp_path: Path):
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config_dir = tmp_path / "config"
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with mock.patch.object(cli.env, "CONFIG_DIR", config_dir):
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cli._write_last_run("OpenClaw", _report())
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args = cli.build_parser().parse_args(["--drill", "cluster 1", "--mock"])
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drill_result = _report(drill=True)
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with mock.patch.object(cli.env, "CONFIG_DIR", config_dir), \
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mock.patch.object(cli.pipeline, "diagnose", return_value={}), \
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mock.patch.object(cli.pipeline, "run", return_value=drill_result) as run_mock, \
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mock.patch.object(cli, "_show_runtime_ui"), \
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redirect_stdout(io.StringIO()), redirect_stderr(io.StringIO()):
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assert cli._run_drill(args, {}) == 0
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call = run_mock.call_args.kwargs
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assert call["depth"] == "deep"
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assert set(call["requested_sources"]) == {"reddit", "youtube"}
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assert set(call["external_plan"]["subqueries"][0]["sources"]) == {"reddit", "youtube"}
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with mock.patch.object(cli.env, "CONFIG_DIR", config_dir):
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cached = cli._load_last_report_cache(None)
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assert cached is not None
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assert len(cached[0].artifacts["drill_history"]) == 1
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with mock.patch.object(cli.env, "CONFIG_DIR", config_dir), \
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mock.patch.object(cli.pipeline, "diagnose", return_value={}), \
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mock.patch.object(cli.pipeline, "run", return_value=drill_result), \
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mock.patch.object(cli, "_show_runtime_ui"), \
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redirect_stdout(io.StringIO()), redirect_stderr(io.StringIO()):
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assert cli._run_drill(args, {}) == 0
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with mock.patch.object(cli.env, "CONFIG_DIR", config_dir):
|
|
chained = cli._load_last_report_cache(None)
|
|
assert chained is not None
|
|
assert len(chained[0].artifacts["drill_history"]) == 2
|
|
|
|
|
|
def test_drill_plan_does_not_gain_jobs_via_company_topic(monkeypatch):
|
|
from lib import pipeline, schema
|
|
|
|
plan = schema.QueryPlan(
|
|
intent="general",
|
|
freshness_mode="balanced_recent",
|
|
cluster_mode="story",
|
|
raw_topic="OpenClaw",
|
|
notes=["drill-mode"],
|
|
subqueries=[
|
|
schema.SubQuery(
|
|
label="drill",
|
|
search_query="OpenClaw api ban",
|
|
ranking_query="OpenClaw api ban",
|
|
sources=["youtube"],
|
|
)
|
|
],
|
|
source_weights={"youtube": 1.0},
|
|
)
|
|
pipeline._ensure_jobs_in_plan(plan, ["youtube", "jobs"], explicit=False, topic="OpenClaw")
|
|
# Direct call still injects (documenting baseline)...
|
|
assert "jobs" in plan.source_weights
|
|
# ...but run()'s drill gate skips the injection entirely for drill plans;
|
|
# assert the gate condition itself so the contract is pinned.
|
|
assert "drill-mode" in plan.notes
|
|
|
|
|
|
def test_merge_collapses_exact_url_rediscoveries():
|
|
from lib import pipeline, schema
|
|
import copy
|
|
|
|
def item(url, body):
|
|
return schema.SourceItem(
|
|
item_id=url, source="reddit", title="t", body=body, url=url,
|
|
published_at="2026-07-01", snippet=body[:20], engagement={"score": 5},
|
|
)
|
|
|
|
old = item("https://reddit.com/r/x/1", "original body")
|
|
new = item("https://reddit.com/r/x/1", "enriched body with transcript and much longer text")
|
|
from lib import dedupe
|
|
new_urls = {new.url}
|
|
filtered_old = [i for i in [old] if not (i.url and i.url in new_urls)]
|
|
combined = dedupe.dedupe_items([copy.deepcopy(new), *filtered_old])
|
|
assert len(combined) == 1
|
|
assert combined[0].body.startswith("enriched")
|
|
|
|
|
|
def test_write_last_run_returns_false_on_failure(monkeypatch, capsys):
|
|
import last30days as cli
|
|
from lib import env
|
|
|
|
class ExplodingPath:
|
|
def mkdir(self, *a, **k):
|
|
raise OSError("disk full")
|
|
|
|
monkeypatch.setattr(cli.env, "CONFIG_DIR", ExplodingPath())
|
|
report = _report()
|
|
ok = cli._write_last_run("topic", report)
|
|
assert ok is False
|
|
assert "could not write run cache" in capsys.readouterr().err
|
|
|
|
|
|
def test_drill_gates_subreddit_context_on_source_allowlist(monkeypatch):
|
|
import io
|
|
from contextlib import redirect_stdout, redirect_stderr
|
|
from unittest import mock
|
|
import last30days as cli
|
|
from lib import schema
|
|
|
|
report = _report()
|
|
# Force a non-Reddit single-source cluster and cached subreddit context.
|
|
report.artifacts["resolved"] = {"subreddits": ["LocalLLaMA", "MachineLearning"]}
|
|
for cluster in report.clusters:
|
|
cluster.sources = ["youtube"]
|
|
for candidate in report.ranked_candidates:
|
|
candidate.source = "youtube"
|
|
candidate.sources = ["youtube"]
|
|
for item in candidate.source_items:
|
|
item.source = "youtube"
|
|
|
|
captured = {}
|
|
|
|
def fake_run(**kwargs):
|
|
captured.update(kwargs)
|
|
return _report(drill=True)
|
|
|
|
args = cli.build_parser().parse_args(["--drill", "cluster 1"])
|
|
with mock.patch.object(cli, "_load_last_report_cache", return_value=(report, None, Path("/tmp/last-report.json"))), \
|
|
mock.patch.object(cli.pipeline, "diagnose", return_value={}), \
|
|
mock.patch.object(cli.pipeline, "run", side_effect=lambda **k: fake_run(**k)), \
|
|
mock.patch.object(cli.pipeline, "merge_drill_report", side_effect=lambda r, d, c, target: r), \
|
|
mock.patch.object(cli, "_write_last_run", return_value=True), \
|
|
mock.patch.object(cli, "_show_runtime_ui"), \
|
|
redirect_stdout(io.StringIO()), redirect_stderr(io.StringIO()):
|
|
cli._run_drill(args, {})
|
|
|
|
assert "reddit" not in (captured.get("requested_sources") or [])
|
|
assert captured.get("subreddits") is None
|