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74 lines
2.9 KiB
Python
74 lines
2.9 KiB
Python
from __future__ import annotations
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import json
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from pathlib import Path
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from paperforge.commands import retrieve as retrieve_command
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from paperforge.commands import search as search_command
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class _Args:
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def __init__(self, vault_path: Path) -> None:
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self.vault_path = vault_path
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self.query = "Lin 2024 Electrical Stimulation"
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self.json = True
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self.limit = 10
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self.domain = None
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self.year_from = None
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self.year_to = None
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self.ocr = None
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self.deep = None
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self.lifecycle = None
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self.next_step = None
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self.expand = True
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class _Conn:
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def close(self) -> None:
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return None
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def test_search_zero_results_emits_query_diagnostic(monkeypatch, tmp_path: Path, capsys) -> None:
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db_path = tmp_path / "paperforge.db"
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db_path.write_text("", encoding="utf-8")
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monkeypatch.setattr(search_command, "get_memory_db_path", lambda vault: db_path)
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monkeypatch.setattr(search_command, "get_connection", lambda db_path, read_only=True: _Conn())
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monkeypatch.setattr(search_command, "search_papers", lambda *args, **kwargs: [])
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args = _Args(tmp_path)
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assert search_command.run(args) == 0
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payload = json.loads(capsys.readouterr().out)
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assert payload["ok"] is True
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assert payload["data"]["count"] == 0
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assert "query_diagnostic" in payload["data"]
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assert payload["warnings"]
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def test_retrieve_unavailable_emits_suggested_modes(monkeypatch, tmp_path: Path, capsys) -> None:
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monkeypatch.setattr("paperforge.embedding.get_embed_status", lambda vault: {"healthy": True, "chunk_count": 0, "db_exists": False, "error": ""})
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args = _Args(tmp_path)
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args.query = "galvanotaxis"
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assert retrieve_command.run(args) == 1
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payload = json.loads(capsys.readouterr().out)
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assert payload["ok"] is False
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assert payload["data"]["interactive_fallback_required"] is True
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assert payload["data"]["suggested_modes"]
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def test_retrieve_low_confidence_hits_emit_warning(monkeypatch, tmp_path: Path, capsys) -> None:
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monkeypatch.setattr("paperforge.embedding.get_embed_status", lambda vault: {"healthy": True, "chunk_count": 5, "db_exists": True, "error": ""})
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monkeypatch.setattr(retrieve_command, "retrieve_chunks", lambda vault, query, limit=5, expand=True: [
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{"paper_id": "AAA11111", "chunk_text": "[Figure]", "score": 0.58},
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{"paper_id": "AAA11111", "chunk_text": "### Keywords", "score": 0.57},
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{"paper_id": "AAA11111", "chunk_text": "None.", "score": 0.56},
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])
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monkeypatch.setattr(retrieve_command, "get_memory_db_path", lambda vault: tmp_path / "missing.db")
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args = _Args(tmp_path)
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args.query = "unlikelynonexistenttermxyz"
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assert retrieve_command.run(args) == 0
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payload = json.loads(capsys.readouterr().out)
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assert payload["ok"] is True
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assert payload["warnings"]
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assert payload["data"]["query_diagnostic"]["interactive_fallback_required"] is True
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