Add Phases 3-5: State transformation, OccasionLogger, OccasionManager

Phase 3 - State Transformation:
- transform_state() function with alpha/beta parameters
- compute_adaptive_params() for dynamic transformation
- StateTransformer class for state management

Phase 4 - Occasion Logger:
- OccasionLog dataclass for structured logging
- OccasionLogger for JSON file storage
- Profile evolution tracking and statistics

Phase 5 - Occasion Manager:
- Full cycle: Prehension → Concrescence → Satisfaction
- Search integration (thoughts, library)
- State creation and logging orchestration

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
2026-01-31 17:09:36 +01:00
parent 21f5676c7b
commit 6af52866ed
7 changed files with 1489 additions and 1 deletions

View File

@@ -0,0 +1,140 @@
#!/usr/bin/env python3
"""Tests pour Phase 3 - Transformation d'état."""
import numpy as np
import pytest
from ..state_transformation import (
transform_state,
compute_adaptive_params,
StateTransformer
)
class TestTransformState:
"""Tests de la fonction de transformation."""
def test_transform_preserves_norm(self):
"""Le vecteur transformé doit rester normalisé."""
s_prev = np.random.randn(1024)
s_prev = s_prev / np.linalg.norm(s_prev)
occasion = np.random.randn(1024)
occasion = occasion / np.linalg.norm(occasion)
s_new = transform_state(s_prev, occasion)
assert abs(np.linalg.norm(s_new) - 1.0) < 0.001
def test_high_alpha_preserves_identity(self):
"""Alpha élevé = peu de changement."""
s_prev = np.random.randn(1024)
s_prev = s_prev / np.linalg.norm(s_prev)
occasion = np.random.randn(1024)
occasion = occasion / np.linalg.norm(occasion)
s_new = transform_state(s_prev, occasion, alpha=0.99, beta=0.01)
similarity = np.dot(s_prev, s_new)
assert similarity > 0.98, f"Trop de changement: similarity={similarity}"
def test_low_alpha_allows_change(self):
"""Alpha bas = plus de changement."""
s_prev = np.random.randn(1024)
s_prev = s_prev / np.linalg.norm(s_prev)
# Occasion très différente
occasion = -s_prev + 0.1 * np.random.randn(1024)
occasion = occasion / np.linalg.norm(occasion)
s_new = transform_state(s_prev, occasion, alpha=0.5, beta=0.5)
similarity = np.dot(s_prev, s_new)
assert similarity < 0.9, f"Pas assez de changement: similarity={similarity}"
def test_identical_occasion_increases_identity(self):
"""Si l'occasion est identique à l'état, l'identité est renforcée."""
s_prev = np.random.randn(1024)
s_prev = s_prev / np.linalg.norm(s_prev)
s_new = transform_state(s_prev, s_prev.copy(), alpha=0.85, beta=0.15)
# Doit rester très similaire
similarity = np.dot(s_prev, s_new)
assert similarity > 0.99
class TestAdaptiveParams:
"""Tests des paramètres adaptatifs."""
def test_default_params(self):
"""Paramètres par défaut."""
alpha, beta = compute_adaptive_params({})
assert abs(alpha + beta - 1.0) < 0.001
assert 0.8 < alpha < 0.9
assert 0.1 < beta < 0.2
def test_more_thoughts_increases_beta(self):
"""Plus de pensées = plus de beta."""
alpha1, beta1 = compute_adaptive_params({'thoughts_created': 0})
alpha2, beta2 = compute_adaptive_params({'thoughts_created': 5})
assert beta2 > beta1
assert alpha2 < alpha1
def test_timer_reduces_intensity(self):
"""Timer = moins d'intensité."""
alpha_user, beta_user = compute_adaptive_params({
'trigger_type': 'user',
'thoughts_created': 3
})
alpha_timer, beta_timer = compute_adaptive_params({
'trigger_type': 'timer',
'thoughts_created': 3
})
assert beta_timer < beta_user
assert alpha_timer > alpha_user
def test_params_sum_to_one(self):
"""Alpha + beta = 1 toujours."""
test_cases = [
{'thoughts_created': 0},
{'thoughts_created': 10},
{'trigger_type': 'timer'},
{'trigger_type': 'user', 'trigger_content': 'x' * 300},
]
for case in test_cases:
alpha, beta = compute_adaptive_params(case)
assert abs(alpha + beta - 1.0) < 0.001, f"Cas: {case}"
class TestStateTransformer:
"""Tests du StateTransformer (nécessite Weaviate)."""
@pytest.fixture
def transformer(self):
"""Créer un transformer sans modèle (tests unitaires)."""
return StateTransformer(embedding_model=None)
def test_get_current_state_id(self, transformer):
"""Test de récupération de l'ID courant."""
# Ce test nécessite Weaviate
state_id = transformer.get_current_state_id()
assert isinstance(state_id, int)
# -1 si pas d'état, sinon >= 0
assert state_id >= -1
@pytest.mark.skip(reason="Nécessite Weaviate avec S(0)")
def test_get_state_vector(self, transformer):
"""Test de récupération du vecteur d'état."""
vector = transformer.get_state_vector(0)
if vector is not None:
assert len(vector) == 1024
assert abs(np.linalg.norm(vector) - 1.0) < 0.01
if __name__ == "__main__":
pytest.main([__file__, "-v"])

View File

@@ -0,0 +1,215 @@
#!/usr/bin/env python3
"""Tests pour Phase 4 - Logging des occasions."""
import tempfile
from datetime import datetime
from pathlib import Path
import pytest
from ..occasion_logger import OccasionLogger, OccasionLog
class TestOccasionLog:
"""Tests de la structure OccasionLog."""
def test_create_occasion_log(self):
"""Créer un OccasionLog basique."""
log = OccasionLog(
occasion_id=1,
timestamp=datetime.now().isoformat(),
trigger_type="user",
trigger_content="Test",
previous_state_id=0,
prehended_thoughts_count=5,
prehended_docs_count=2,
response_summary="Response",
new_state_id=1,
alpha_used=0.85,
beta_used=0.15,
processing_time_ms=1000
)
assert log.occasion_id == 1
assert log.trigger_type == "user"
assert log.alpha_used == 0.85
def test_default_lists(self):
"""Les listes par défaut sont vides."""
log = OccasionLog(
occasion_id=1,
timestamp=datetime.now().isoformat(),
trigger_type="user",
trigger_content="Test",
previous_state_id=0,
prehended_thoughts_count=0,
prehended_docs_count=0,
response_summary="Response",
new_state_id=1,
alpha_used=0.85,
beta_used=0.15
)
assert log.new_thoughts == []
assert log.tools_used == []
assert log.prehended_thoughts == []
class TestOccasionLogger:
"""Tests du logger d'occasions."""
@pytest.fixture
def temp_logger(self):
"""Créer un logger avec répertoire temporaire."""
with tempfile.TemporaryDirectory() as tmpdir:
yield OccasionLogger(tmpdir)
def test_log_and_retrieve(self, temp_logger):
"""Logger et relire une occasion."""
occasion = OccasionLog(
occasion_id=42,
timestamp=datetime.now().isoformat(),
trigger_type="user",
trigger_content="Question test",
previous_state_id=5,
prehended_thoughts_count=3,
prehended_docs_count=1,
response_summary="Réponse test",
new_thoughts=["Nouvelle pensée"],
tools_used=["search_thoughts"],
new_state_id=6,
alpha_used=0.82,
beta_used=0.18,
processing_time_ms=2500
)
# Logger
filepath = temp_logger.log(occasion)
assert filepath.exists()
# Relire
loaded = temp_logger.get_occasion(42)
assert loaded is not None
assert loaded.occasion_id == 42
assert loaded.trigger_content == "Question test"
assert loaded.new_thoughts == ["Nouvelle pensée"]
def test_get_nonexistent(self, temp_logger):
"""Récupérer une occasion inexistante retourne None."""
loaded = temp_logger.get_occasion(99999)
assert loaded is None
def test_get_recent_occasions(self, temp_logger):
"""Récupérer les occasions récentes."""
# Créer plusieurs occasions
for i in range(5):
occasion = OccasionLog(
occasion_id=i,
timestamp=datetime.now().isoformat(),
trigger_type="user",
trigger_content=f"Question {i}",
previous_state_id=max(0, i - 1),
prehended_thoughts_count=i,
prehended_docs_count=1,
response_summary=f"Réponse {i}",
new_state_id=i,
alpha_used=0.85,
beta_used=0.15,
processing_time_ms=1000 + i * 100
)
temp_logger.log(occasion)
# Récupérer les 3 dernières
recent = temp_logger.get_recent_occasions(3)
assert len(recent) == 3
# Vérifier l'ordre (plus récent d'abord)
assert recent[0].occasion_id == 4
assert recent[1].occasion_id == 3
assert recent[2].occasion_id == 2
def test_get_last_occasion_id(self, temp_logger):
"""Récupérer l'ID de la dernière occasion."""
# Vide
assert temp_logger.get_last_occasion_id() == -1
# Ajouter une occasion
occasion = OccasionLog(
occasion_id=10,
timestamp=datetime.now().isoformat(),
trigger_type="user",
trigger_content="Test",
previous_state_id=0,
prehended_thoughts_count=0,
prehended_docs_count=0,
response_summary="Response",
new_state_id=1,
alpha_used=0.85,
beta_used=0.15
)
temp_logger.log(occasion)
assert temp_logger.get_last_occasion_id() == 10
def test_profile_evolution(self, temp_logger):
"""Tracer l'évolution d'une composante."""
# Créer des occasions avec évolution de curiosité
for i in range(5):
occasion = OccasionLog(
occasion_id=i,
timestamp=datetime.now().isoformat(),
trigger_type="user",
trigger_content=f"Question {i}",
previous_state_id=max(0, i - 1),
prehended_thoughts_count=0,
prehended_docs_count=0,
response_summary=f"Réponse {i}",
new_state_id=i,
alpha_used=0.85,
beta_used=0.15,
profile_before={"epistemic": {"curiosity": 0.5 + i * 0.05}},
profile_after={"epistemic": {"curiosity": 0.5 + (i + 1) * 0.05}}
)
temp_logger.log(occasion)
evolution = temp_logger.get_profile_evolution("curiosity", last_n=5)
assert len(evolution) == 5
# Vérifier que la curiosité augmente
values = [v for _, v in evolution]
assert values[-1] > values[0]
def test_statistics(self, temp_logger):
"""Calculer des statistiques."""
# Créer quelques occasions
for i in range(3):
occasion = OccasionLog(
occasion_id=i,
timestamp=datetime.now().isoformat(),
trigger_type="user" if i % 2 == 0 else "timer",
trigger_content=f"Question {i}",
previous_state_id=max(0, i - 1),
prehended_thoughts_count=0,
prehended_docs_count=0,
response_summary=f"Réponse {i}",
new_thoughts=["t1"] if i == 0 else [],
tools_used=["tool1", "tool2"],
new_state_id=i,
alpha_used=0.85,
beta_used=0.15,
processing_time_ms=1000 + i * 500
)
temp_logger.log(occasion)
stats = temp_logger.get_statistics()
assert stats["count"] == 3
assert "processing_time" in stats
assert "thoughts_created" in stats
assert "trigger_distribution" in stats
assert stats["trigger_distribution"]["user"] == 2
assert stats["trigger_distribution"]["timer"] == 1
if __name__ == "__main__":
pytest.main([__file__, "-v"])

View File

@@ -0,0 +1,167 @@
#!/usr/bin/env python3
"""Tests pour Phase 5 - OccasionManager."""
import tempfile
import pytest
from ..occasion_manager import OccasionManager, get_state_profile
class TestGetStateProfile:
"""Tests de la fonction get_state_profile."""
@pytest.mark.skip(reason="Nécessite Weaviate avec S(0) et directions")
def test_get_profile_s0(self):
"""Récupérer le profil de S(0)."""
profile = get_state_profile(0)
assert isinstance(profile, dict)
# Devrait avoir des catégories
assert len(profile) > 0
# Les valeurs doivent être dans [-1, 1]
for category, components in profile.items():
for name, value in components.items():
assert -1 <= value <= 1, f"{name} = {value} hors limites"
class TestOccasionManager:
"""Tests de l'OccasionManager."""
@pytest.fixture
def manager(self):
"""Créer un manager avec répertoire temporaire."""
with tempfile.TemporaryDirectory() as tmpdir:
yield OccasionManager(log_dir=tmpdir, embedding_model=None)
def test_manager_initialization(self, manager):
"""Test d'initialisation du manager."""
assert manager.current_occasion_id >= 0
assert manager.logger is not None
assert manager.transformer is not None
def test_prehend_structure(self, manager):
"""Test de la structure de préhension."""
trigger = {
"type": "user",
"content": "Test question",
"metadata": {}
}
prehension = manager._prehend(trigger)
assert "previous_state_id" in prehension
assert "thoughts" in prehension
assert "documents" in prehension
assert isinstance(prehension["thoughts"], list)
assert isinstance(prehension["documents"], list)
def test_concresce_simulation(self, manager):
"""Test de la concrescence (simulation)."""
trigger = {
"type": "user",
"content": "Test question sur Whitehead",
"metadata": {}
}
prehension = {
"previous_state_id": 0,
"previous_state_vector": None,
"thoughts": [{"content": "Pensée 1"}],
"documents": []
}
concrescence = manager._concresce(trigger, prehension)
assert "response" in concrescence
assert "new_thoughts" in concrescence
assert "tools_used" in concrescence
assert "[Simulation]" in concrescence["response"]
@pytest.mark.skip(reason="Nécessite Weaviate avec S(0)")
def test_run_occasion_full(self, manager):
"""Test d'un cycle complet d'occasion."""
trigger = {
"type": "user",
"content": "Qu'est-ce que le processus selon Whitehead ?",
"metadata": {}
}
result = manager.run_occasion(trigger)
assert "occasion_id" in result
assert "response" in result
assert "new_state_id" in result
assert "profile" in result
assert "processing_time_ms" in result
assert result["processing_time_ms"] > 0
@pytest.mark.skip(reason="Nécessite Weaviate avec S(0)")
def test_state_evolution_after_occasion(self, manager):
"""Vérifier que l'état évolue après une occasion."""
initial_state_id = manager.transformer.get_current_state_id()
trigger = {
"type": "user",
"content": "Je suis très curieux à propos de la philosophie",
"metadata": {}
}
result = manager.run_occasion(trigger)
assert result["new_state_id"] == initial_state_id + 1
@pytest.mark.skip(reason="Nécessite Weaviate")
def test_occasion_logged(self, manager):
"""Vérifier que l'occasion est loggée."""
trigger = {
"type": "user",
"content": "Test logging",
"metadata": {}
}
result = manager.run_occasion(trigger)
logged = manager.logger.get_occasion(result["occasion_id"])
assert logged is not None
assert logged.trigger_content == "Test logging"
class TestOccasionManagerTriggerTypes:
"""Tests des différents types de triggers."""
@pytest.fixture
def manager(self):
with tempfile.TemporaryDirectory() as tmpdir:
yield OccasionManager(log_dir=tmpdir, embedding_model=None)
def test_user_trigger(self, manager):
"""Test trigger utilisateur."""
trigger = {
"type": "user",
"content": "Question utilisateur",
"metadata": {}
}
prehension = manager._prehend(trigger)
concrescence = manager._concresce(trigger, prehension)
assert "Question utilisateur" in concrescence["response"]
def test_timer_trigger(self, manager):
"""Test trigger timer (auto-réflexion)."""
trigger = {
"type": "timer",
"content": "Moment d'auto-réflexion",
"metadata": {"auto": True}
}
prehension = manager._prehend(trigger)
concrescence = manager._concresce(trigger, prehension)
assert concrescence["response"] is not None
if __name__ == "__main__":
pytest.main([__file__, "-v"])