ankn
a5f8fb49ab
Bahn: aisupport, Analyse-O2C-C2S, awesome-bahn-mcp-servers, beam-mcp,
Confluence_Bot, db-planet-mcp-server, O2C-Harness, project-audit,
Projekt-KIQ-HP, teamlandkarte-mcp
Dhive: Jury-Voting
Privat: CV, NoteGraph (NOTE: NoteGraph needs complete redo after consolidation)
Shared: AI-Orchestrator, OrgMyLife, power_skills_and_more
Shared/references: symphony (read-only)
Bahn repos remain available as independent remotes - this monorepo
pulls them in via subtree, the originals are untouched.
119 lines
3.0 KiB
Python
119 lines
3.0 KiB
Python
"""Unit tests for ``MatchingConfig.default_method`` validation in ``load_config``.
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Covers the three cases from spec task 5.3:
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* ``default_method`` missing -> default ``"score"``.
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* ``default_method = "llm_fulltext"`` -> accepted as-is.
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* ``default_method = "irgendwas"`` -> ``ConfigError`` with helpful message.
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Validates: Requirements 12.3, 12.4
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"""
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from __future__ import annotations
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import pytest
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from teamlandkarte_mcp.config import ConfigError, load_config
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def _write_config(tmp_path, *, default_method_line: str = ""):
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"""Write a minimal valid ``config.toml`` for ``load_config`` tests.
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``default_method_line`` is inserted into the ``[matching]`` section as a
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raw TOML line (e.g. ``'default_method = "llm_fulltext"'``) or left empty
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to omit the key entirely.
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"""
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content = f"""\
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[database]
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backend = "trino"
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host = "trino.example"
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port = 443
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http_scheme = "https"
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verify_ssl = true
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catalog = "hive"
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schema = "tier1_open_lake"
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connect_timeout = 10
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pool_size = 4
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[matching]
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competence_weight = 0.8
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role_weight = 0.2
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require_confirmation = true
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{default_method_line}
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[matching.thresholds]
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top = 0.8
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good = 0.65
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partial = 0.5
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low = 0.3
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[matching.fuzzy]
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min_similarity = 0.7
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[cache]
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db_ttl_hours = 12
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search_ttl_minutes = 60
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max_size = 100
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[azure_openai]
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endpoint = "https://example.openai.azure.com"
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api_version = "2024-02-15-preview"
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chat_deployment = "gpt-4"
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show_costs_in_output = false
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"""
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p = tmp_path / "config.toml"
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p.write_text(content)
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return p
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@pytest.fixture(autouse=True)
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def _set_env(monkeypatch):
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"""Provide the credentials required by ``load_config``."""
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monkeypatch.setenv("DATA_LAKE_USERNAME", "u")
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monkeypatch.setenv("DATA_LAKE_PASSWORD", "p")
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monkeypatch.setenv("AZURE_OPENAI_LLM_API_KEY", "k")
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def test_default_method_missing_falls_back_to_score(tmp_path):
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path = _write_config(tmp_path)
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cfg = load_config(path)
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assert cfg.matching.default_method == "score"
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def test_default_method_llm_fulltext_is_accepted(tmp_path):
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path = _write_config(
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tmp_path, default_method_line='default_method = "llm_fulltext"'
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)
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cfg = load_config(path)
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assert cfg.matching.default_method == "llm_fulltext"
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def test_default_method_score_is_accepted_explicit(tmp_path):
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path = _write_config(
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tmp_path, default_method_line='default_method = "score"'
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)
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cfg = load_config(path)
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assert cfg.matching.default_method == "score"
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def test_default_method_case_insensitive(tmp_path):
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path = _write_config(
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tmp_path, default_method_line='default_method = "LLM_FULLTEXT"'
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)
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cfg = load_config(path)
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assert cfg.matching.default_method == "llm_fulltext"
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def test_default_method_invalid_raises_config_error(tmp_path):
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path = _write_config(
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tmp_path, default_method_line='default_method = "irgendwas"'
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)
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with pytest.raises(ConfigError) as exc:
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load_config(path)
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msg = str(exc.value)
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assert "default_method" in msg
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assert "score" in msg
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assert "llm_fulltext" in msg
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