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HAIM Test Suite — Configuration Tests
"""
import os
import tempfile
from pathlib import Path
import pytest
import yaml
from mnemocore.core.config import (
HAIMConfig,
load_config,
get_config,
reset_config,
TierConfig,
LTPConfig,
)
from mnemocore.core.exceptions import ConfigurationError
@pytest.fixture(autouse=True)
def clean_config():
"""Reset global config singleton between tests."""
reset_config()
yield
reset_config()
@pytest.fixture
def sample_config_path(tmp_path):
"""Create a temporary config.yaml."""
config_data = {
"haim": {
"version": "3.0-test",
"dimensionality": 1024, # Small for tests
"encoding": {"mode": "binary", "token_method": "bundle"},
"tiers": {
"hot": {"max_memories": 100, "ltp_threshold_min": 0.7},
"warm": {
"max_memories": 1000,
"ltp_threshold_min": 0.3,
"consolidation_interval_hours": 1,
"storage_backend": "mmap",
},
"cold": {
"max_memories": 0,
"ltp_threshold_min": 0.0,
"storage_backend": "filesystem",
},
},
"ltp": {
"initial_importance": 0.5,
"decay_lambda": 0.01,
"permanence_threshold": 0.95,
"half_life_days": 30.0,
},
"hysteresis": {"promote_delta": 0.15, "demote_delta": 0.10},
"redis": {"url": "redis://localhost:6379/0"},
"qdrant": {"url": "http://localhost:6333"},
"gpu": {"enabled": False},
"observability": {"log_level": "DEBUG"},
"paths": {"data_dir": str(tmp_path / "data")},
}
}
config_path = tmp_path / "config.yaml"
with open(config_path, "w") as f:
yaml.dump(config_data, f)
return config_path
class TestLoadConfig:
def test_load_from_yaml(self, sample_config_path):
config = load_config(sample_config_path)
assert config.version == "3.0-test"
assert config.dimensionality == 1024
def test_default_values_when_no_file(self, tmp_path):
missing_path = tmp_path / "nonexistent.yaml"
config = load_config(missing_path)
assert config.dimensionality == 16384
assert config.version == "4.5"
def test_dimensionality_must_be_multiple_of_64(self, tmp_path):
bad_config = {"haim": {"dimensionality": 100}}
path = tmp_path / "bad.yaml"
with open(path, "w") as f:
yaml.dump(bad_config, f)
with pytest.raises(ConfigurationError, match="multiple of 64"):
load_config(path)
def test_encoding_mode(self, sample_config_path):
config = load_config(sample_config_path)
assert config.encoding.mode == "binary"
assert config.encoding.token_method == "bundle"
def test_tier_config(self, sample_config_path):
config = load_config(sample_config_path)
assert config.tiers_hot.max_memories == 100
assert config.tiers_hot.ltp_threshold_min == 0.7
assert config.tiers_warm.storage_backend == "mmap"
assert config.tiers_warm.consolidation_interval_hours == 1
def test_ltp_config(self, sample_config_path):
config = load_config(sample_config_path)
assert config.ltp.decay_lambda == 0.01
assert config.ltp.permanence_threshold == 0.95
def test_hysteresis_config(self, sample_config_path):
config = load_config(sample_config_path)
assert config.hysteresis.promote_delta == 0.15
assert config.hysteresis.demote_delta == 0.10
class TestEnvironmentOverrides:
def test_dimensionality_override(self, sample_config_path):
os.environ["HAIM_DIMENSIONALITY"] = "2048"
try:
config = load_config(sample_config_path)
assert config.dimensionality == 2048
finally:
del os.environ["HAIM_DIMENSIONALITY"]
def test_redis_url_override(self, sample_config_path):
os.environ["HAIM_REDIS_URL"] = "redis://custom:6380/1"
try:
config = load_config(sample_config_path)
assert config.redis.url == "redis://custom:6380/1"
finally:
del os.environ["HAIM_REDIS_URL"]
def test_gpu_enabled_override(self, sample_config_path):
os.environ["HAIM_GPU_ENABLED"] = "true"
try:
config = load_config(sample_config_path)
assert config.gpu.enabled is True
finally:
del os.environ["HAIM_GPU_ENABLED"]
def test_log_level_override(self, sample_config_path):
os.environ["HAIM_LOG_LEVEL"] = "WARNING"
try:
config = load_config(sample_config_path)
assert config.observability.log_level == "WARNING"
finally:
del os.environ["HAIM_LOG_LEVEL"]
def test_mcp_enabled_override(self, sample_config_path):
os.environ["HAIM_MCP_ENABLED"] = "true"
try:
config = load_config(sample_config_path)
assert config.mcp.enabled is True
finally:
del os.environ["HAIM_MCP_ENABLED"]
def test_mcp_api_base_url_override(self, sample_config_path):
os.environ["HAIM_MCP_API_BASE_URL"] = "http://localhost:8200"
try:
config = load_config(sample_config_path)
assert config.mcp.api_base_url == "http://localhost:8200"
finally:
del os.environ["HAIM_MCP_API_BASE_URL"]
class TestConfigSingleton:
def test_get_config_returns_same_instance(self):
config_a = get_config()
config_b = get_config()
assert config_a is config_b
def test_reset_clears_singleton(self):
config_a = get_config()
reset_config()
config_b = get_config()
# New instance after reset (they're equal but not same object)
assert config_a is not config_b
def test_config_is_frozen(self):
config = get_config()
with pytest.raises(AttributeError):
config.dimensionality = 9999
class TestConfigValidation:
def test_valid_dimensionalities(self, tmp_path):
for dim in [64, 128, 1024, 16384]:
data = {"haim": {"dimensionality": dim}}
path = tmp_path / f"config_{dim}.yaml"
with open(path, "w") as f:
yaml.dump(data, f)
config = load_config(path)
assert config.dimensionality == dim
def test_invalid_dimensionalities(self, tmp_path):
for dim in [100, 1000, 10000, 15000]:
data = {"haim": {"dimensionality": dim}}
path = tmp_path / f"config_{dim}.yaml"
with open(path, "w") as f:
yaml.dump(data, f)
with pytest.raises(ConfigurationError):
load_config(path)
class TestSecurityOverrides:
def test_redis_password_override(self, sample_config_path):
os.environ["HAIM_REDIS_PASSWORD"] = "secret_password"
try:
config = load_config(sample_config_path)
assert config.redis.password == "secret_password"
finally:
del os.environ["HAIM_REDIS_PASSWORD"]
def test_qdrant_api_key_override(self, sample_config_path):
os.environ["HAIM_QDRANT_API_KEY"] = "secret_api_key"
try:
config = load_config(sample_config_path)
assert config.qdrant.api_key == "secret_api_key"
finally:
del os.environ["HAIM_QDRANT_API_KEY"]
def test_config_file_values(self, tmp_path):
"""Test that values can also be loaded from yaml directly."""
config_data = {
"haim": {
"dimensionality": 1024,
"redis": {
"url": "redis://localhost:6379/0",
"password": "yaml_password"
},
"qdrant": {
"url": "http://localhost:6333",
"api_key": "yaml_api_key"
}
}
}
config_path = tmp_path / "config_security.yaml"
with open(config_path, "w") as f:
yaml.dump(config_data, f)
config = load_config(config_path)
assert config.redis.password == "yaml_password"
assert config.qdrant.api_key == "yaml_api_key"
class TestMCPConfig:
def test_mcp_defaults(self, sample_config_path):
config = load_config(sample_config_path)
assert config.mcp.enabled is False
assert config.mcp.transport == "stdio"
assert "memory_health" in config.mcp.allow_tools
def test_mcp_config_file_values(self, tmp_path):
config_data = {
"haim": {
"dimensionality": 1024,
"mcp": {
"enabled": True,
"transport": "sse",
"host": "0.0.0.0",
"port": 8123,
"api_base_url": "http://localhost:8100",
"timeout_seconds": 20,
"allow_tools": ["memory_health", "memory_stats"],
},
}
}
config_path = tmp_path / "config_mcp.yaml"
with open(config_path, "w") as f:
yaml.dump(config_data, f)
config = load_config(config_path)
assert config.mcp.enabled is True
assert config.mcp.transport == "sse"
assert config.mcp.port == 8123
assert config.mcp.allow_tools == ["memory_health", "memory_stats"]
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