mindnet/tests/test_WP22_intelligence.py

"""
FILE: tests/test_WP22_integration.py
DESCRIPTION: Integrationstest für WP-22 (Graph Intelligence).
             FIX: Nutzt IsolatedAsyncioTestCase und importiert asyncio korrekt.
"""
import unittest
import os
import shutil
import json
import yaml
import asyncio
from unittest.mock import MagicMock, patch, AsyncMock

# --- Imports der App-Module ---
from app.models.dto import ChatRequest, QueryRequest, QueryHit
from app.services.edge_registry import EdgeRegistry
from app.core.retriever import _compute_total_score, _get_status_multiplier
from app.routers.chat import _classify_intent, get_decision_strategy, chat_endpoint

# --- Test Suite ---
class TestWP22Integration(unittest.IsolatedAsyncioTestCase):

    def setUp(self):
        """Bereitet eine isolierte Test-Umgebung vor."""
        self.test_dir = "tests/temp_integration"
        # Environment Patching: Hier simulieren wir Ihre .env
        self.os_env_patch = patch.dict(os.environ, {
            "MINDNET_VAULT_ROOT": self.test_dir,
            "MINDNET_DECISION_CONFIG": os.path.join(self.test_dir, "config", "decision_engine.yaml"),
            "MINDNET_TYPES_FILE": os.path.join(self.test_dir, "config", "types.yaml")
        })
        self.os_env_patch.start()

        # Verzeichnisse erstellen
        os.makedirs(os.path.join(self.test_dir, "config"), exist_ok=True)
        os.makedirs(os.path.join(self.test_dir, "01_User_Manual"), exist_ok=True)
        os.makedirs(os.path.join(self.test_dir, "data", "logs"), exist_ok=True)

        # 1. Config: decision_engine.yaml (mit Boosts)
        self.decision_config = {
            "strategies": {
                "FACT": {
                    "trigger_keywords": ["was ist"],
                    "edge_boosts": {"part_of": 2.0}
                },
                "CAUSAL": {
                    "trigger_keywords": ["warum", "weshalb"],
                    "edge_boosts": {"caused_by": 3.0, "related_to": 0.5}
                }
            }
        }
        with open(os.environ["MINDNET_DECISION_CONFIG"], "w") as f:
            yaml.dump(self.decision_config, f)

        # 2. Config: Edge Vocabulary (für Registry)
        # Wir platzieren die Datei genau dort, wo die Registry sie relativ zu MINDNET_VAULT_ROOT erwartet
        vocab_path = os.path.join(self.test_dir, "01_User_Manual", "01_edge_vocabulary.md")
        with open(vocab_path, "w") as f:
            f.write("| **caused_by** | ursache_ist, wegen |\n| **part_of** | teil_von |")

        # 3. Registry Reset
        # Wir zwingen das Singleton zum Neustart, damit es die neuen ENV-Variablen liest
        EdgeRegistry._instance = None
        self.registry = EdgeRegistry(vault_root=self.test_dir)

    def tearDown(self):
        self.os_env_patch.stop()
        if os.path.exists(self.test_dir):
            shutil.rmtree(self.test_dir)
        EdgeRegistry._instance = None

    # ------------------------------------------------------------------------
    # TEST 1: Edge Registry & Validation (WP-22 B)
    # ------------------------------------------------------------------------
    def test_edge_registry_aliases(self):
        print("\n🔵 TEST 1: Edge Registry Resolution")
        
        # Prüfung: Hat er die Datei gefunden?
        # Wenn die Registry leer ist, hat das Laden nicht geklappt.
        self.assertTrue(len(self.registry.valid_types) > 0, 
                        f"Registry ist leer! Pfad war: {self.registry.vault_root}")

        # Test: Alias Auflösung
        resolved = self.registry.resolve("ursache_ist")
        self.assertEqual(resolved, "caused_by", "Alias 'ursache_ist' sollte zu 'caused_by' werden.")
        
        # Test: Unknown Logging
        unknown = self.registry.resolve("foobar_link")
        self.assertEqual(unknown, "foobar_link", "Unbekannte Kanten sollen durchgereicht werden.")
        
        log_path = self.registry.unknown_log_path
        self.assertTrue(os.path.exists(log_path), "Logfile für unbekannte Kanten fehlt.")
        with open(log_path, "r") as f:
            self.assertIn("foobar_link", f.read())
        print("✅ Registry funktioniert (Datei gefunden & Alias gelöst).")

    # ------------------------------------------------------------------------
    # TEST 2: Lifecycle Scoring (WP-22 A)
    # ------------------------------------------------------------------------
    def test_lifecycle_scoring_logic(self):
        print("\n🔵 TEST 2: Lifecycle Scoring (Draft vs. Stable)")
        # Mock Weights: Sem=1.0, Edge=0.5, Cent=0.0
        with patch("app.core.retriever._get_scoring_weights", return_value=(1.0, 0.5, 0.0)):
            base_sem = 0.9
            
            # Case A: Draft (Malus)
            payload_draft = {"status": "draft", "retriever_weight": 1.0}
            mult_draft = _get_status_multiplier(payload_draft)
            self.assertEqual(mult_draft, 0.8, "Draft sollte 0.8 Multiplier haben.")
            
            score_draft, _, _ = _compute_total_score(base_sem, payload_draft)
            
            # Case B: Stable (Bonus)
            payload_stable = {"status": "stable", "retriever_weight": 1.0}
            mult_stable = _get_status_multiplier(payload_stable)
            self.assertEqual(mult_stable, 1.2, "Stable sollte 1.2 Multiplier haben.")
            
            score_stable, _, _ = _compute_total_score(base_sem, payload_stable)

            print(f"   Draft Score: {score_draft:.2f} | Stable Score: {score_stable:.2f}")
            self.assertGreater(score_stable, score_draft)
        print("✅ Lifecycle Scoring korrekt implementiert.")

    # ------------------------------------------------------------------------
    # TEST 3: Semantic Router & Boosting (WP-22 C)
    # ------------------------------------------------------------------------
    async def test_router_integration(self):
        print("\n🔵 TEST 3: Semantic Router Integration")
        
        # Mock LLM Service
        mock_llm = MagicMock()
        mock_llm.prompts = {}
        
        # --- Szenario A: Kausal-Frage ("Warum...") ---
        query_causal = "Warum ist das Projekt gescheitert?"
        
        # 1. Intent Detection prüfen
        intent, source = await _classify_intent(query_causal, mock_llm)
        self.assertEqual(intent, "CAUSAL", "Sollte 'CAUSAL' Intent erkennen via Keywords.")
        
        # 2. Strategy Load prüfen
        strategy = get_decision_strategy(intent)
        boosts = strategy.get("edge_boosts", {})
        self.assertEqual(boosts.get("caused_by"), 3.0, "Sollte 'caused_by' Boost von 3.0 laden.")
        
        print(f"   Intent: {intent} -> Boosts: {boosts}")
        print("✅ Router lädt Config korrekt.")

    # ------------------------------------------------------------------------
    # TEST 4: Full Pipeline (Chat -> Retriever)
    # ------------------------------------------------------------------------
    async def test_full_pipeline_flow(self):
        print("\n🔵 TEST 4: Full Chat Pipeline (Integration)")
        
        # Mocks
        mock_llm = AsyncMock()
        mock_llm.prompts = {}
        mock_llm.generate_raw_response.return_value = "Das ist die Antwort."
        
        mock_retriever = AsyncMock()
        # Mock Search Result
        mock_hit = QueryHit(
            node_id="123", semantic_score=0.9, edge_bonus=0.5, centrality_bonus=0.0, total_score=1.0,
            source={"text": "Inhalt"}, payload={"type": "concept"}
        )
        mock_retriever.search.return_value.results = [mock_hit]

        # Request: "Warum..."
        req = ChatRequest(message="Warum ist das passiert?", top_k=3)
        
        # Cache Reset für Config (wichtig, damit er unsere Test-Config neu lädt)
        import app.routers.chat
        app.routers.chat._DECISION_CONFIG_CACHE = None
        
        response = await chat_endpoint(req, llm=mock_llm, retriever=mock_retriever)
        
        # ASSERTIONS
        
        # 1. Wurde der Retriever mit den Boosts aufgerufen?
        called_query_req = mock_retriever.search.call_args[0][0]
        
        self.assertIsNotNone(called_query_req.boost_edges, "Retriever sollte boost_edges erhalten.")
        self.assertEqual(called_query_req.boost_edges.get("caused_by"), 3.0, "Boost 'caused_by' sollte 3.0 sein.")
        
        # 2. Wurde der Intent korrekt durchgereicht?
        self.assertEqual(response.intent, "CAUSAL")
        
        print(f"   Retriever called with: {called_query_req.boost_edges}")
        print("✅ Pipeline reicht Boosts erfolgreich weiter.")

    # ------------------------------------------------------------------------
    # TEST 5: Regression Check (Fallback behavior)
    # ------------------------------------------------------------------------
    async def test_regression_standard_query(self):
        print("\n🔵 TEST 5: Regression (Standard Query)")
        
        mock_llm = AsyncMock()
        mock_llm.prompts = {}
        mock_llm.generate_raw_response.return_value = "Antwort."
        
        mock_retriever = AsyncMock()
        mock_retriever.search.return_value.results = []
        
        # Cache Reset
        import app.routers.chat
        app.routers.chat._DECISION_CONFIG_CACHE = None

        req = ChatRequest(message="Hallo Welt", top_k=3)
        
        response = await chat_endpoint(req, llm=mock_llm, retriever=mock_retriever)
        
        called_query_req = mock_retriever.search.call_args[0][0]
        
        # FACT strategy hat in unserem Test Setup 'part_of': 2.0
        # Aber keine 'caused_by' boosts.
        self.assertEqual(response.intent, "FACT")
        self.assertNotIn("caused_by", called_query_req.boost_edges or {})
        
        print("✅ Regression Test bestanden (Standard-Flow intakt).")

if __name__ == '__main__':
    unittest.main()