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c1feb60 e4a41fa c1feb60 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 | """Tests for CCR feedback loop and pattern learning."""
import time
import pytest
from headroom.cache.compression_feedback import (
CompressionFeedback,
LocalToolPattern,
get_compression_feedback,
reset_compression_feedback,
)
from headroom.cache.compression_store import (
CompressionStore,
RetrievalEvent,
reset_compression_store,
)
@pytest.fixture(autouse=True)
def reset_globals():
"""Reset global state before each test."""
reset_compression_feedback()
reset_compression_store()
yield
reset_compression_feedback()
reset_compression_store()
class TestCompressionFeedback:
"""Test CompressionFeedback analyzer."""
def test_record_compression(self):
"""Recording compression events updates tool patterns."""
feedback = CompressionFeedback()
feedback.record_compression("test_tool", 100, 10)
feedback.record_compression("test_tool", 200, 20)
patterns = feedback.get_all_patterns()
assert "test_tool" in patterns
assert patterns["test_tool"].total_compressions == 2
def test_record_retrieval(self):
"""Recording retrieval events updates patterns."""
feedback = CompressionFeedback()
feedback.record_compression("test_tool", 100, 10)
event = RetrievalEvent(
hash="abc123",
query="find errors",
items_retrieved=50,
total_items=100,
tool_name="test_tool",
timestamp=time.time(),
retrieval_type="search",
)
feedback.record_retrieval(event)
patterns = feedback.get_all_patterns()
assert patterns["test_tool"].total_retrievals == 1
assert patterns["test_tool"].search_retrievals == 1
def test_retrieval_rate_calculation(self):
"""Retrieval rate is calculated correctly."""
feedback = CompressionFeedback()
# 10 compressions
for _ in range(10):
feedback.record_compression("test_tool", 100, 10)
# 5 retrievals (50% retrieval rate)
for _ in range(5):
event = RetrievalEvent(
hash="abc123",
query=None,
items_retrieved=100,
total_items=100,
tool_name="test_tool",
timestamp=time.time(),
retrieval_type="full",
)
feedback.record_retrieval(event)
pattern = feedback.get_all_patterns()["test_tool"]
assert pattern.retrieval_rate == 0.5
assert pattern.full_retrieval_rate == 1.0 # All were full retrievals
def test_hints_default_with_no_data(self):
"""Default hints returned when no data exists."""
feedback = CompressionFeedback()
hints = feedback.get_compression_hints("unknown_tool")
assert hints.max_items == 15 # Default
assert hints.skip_compression is False
assert "No pattern data" in hints.reason
def test_hints_insufficient_samples(self):
"""Default hints returned with insufficient samples."""
feedback = CompressionFeedback()
# Only 3 compressions (need 5 for hints)
for _ in range(3):
feedback.record_compression("test_tool", 100, 10)
hints = feedback.get_compression_hints("test_tool")
assert hints.max_items == 15 # Default
assert "Insufficient data" in hints.reason
def test_hints_high_retrieval_rate_less_aggressive(self):
"""High retrieval rate results in less aggressive compression."""
feedback = CompressionFeedback()
# 10 compressions
for _ in range(10):
feedback.record_compression("test_tool", 100, 10)
# 6 retrievals (60% retrieval rate - HIGH)
for _ in range(6):
event = RetrievalEvent(
hash="abc123",
query="search query",
items_retrieved=50,
total_items=100,
tool_name="test_tool",
timestamp=time.time(),
retrieval_type="search",
)
feedback.record_retrieval(event)
hints = feedback.get_compression_hints("test_tool")
assert hints.max_items > 15 # Should be more than default
assert hints.aggressiveness < 0.7 # Less aggressive
assert "High retrieval rate" in hints.reason or "less aggressive" in hints.reason.lower()
def test_hints_very_high_full_retrieval_skips_compression(self):
"""Very high full retrieval rate recommends skipping compression."""
feedback = CompressionFeedback()
# 10 compressions
for _ in range(10):
feedback.record_compression("test_tool", 100, 10)
# 9 FULL retrievals (90% retrieval rate, all full)
for _ in range(9):
event = RetrievalEvent(
hash="abc123",
query=None,
items_retrieved=100,
total_items=100,
tool_name="test_tool",
timestamp=time.time(),
retrieval_type="full",
)
feedback.record_retrieval(event)
hints = feedback.get_compression_hints("test_tool")
assert hints.skip_compression is True
assert "skip compression" in hints.reason.lower()
def test_hints_low_retrieval_rate_aggressive(self):
"""Low retrieval rate means current compression is effective."""
feedback = CompressionFeedback()
# 10 compressions
for _ in range(10):
feedback.record_compression("test_tool", 100, 10)
# Only 1 retrieval (10% - LOW)
event = RetrievalEvent(
hash="abc123",
query=None,
items_retrieved=100,
total_items=100,
tool_name="test_tool",
timestamp=time.time(),
retrieval_type="full",
)
feedback.record_retrieval(event)
hints = feedback.get_compression_hints("test_tool")
assert hints.max_items == 15 # Default/aggressive
assert "effective" in hints.reason.lower() or "Low retrieval" in hints.reason
def test_common_queries_tracked(self):
"""Common search queries are tracked per tool."""
feedback = CompressionFeedback()
feedback.record_compression("test_tool", 100, 10)
queries = ["find errors", "find errors", "status:failed", "error"]
for q in queries:
event = RetrievalEvent(
hash="abc123",
query=q,
items_retrieved=10,
total_items=100,
tool_name="test_tool",
timestamp=time.time(),
retrieval_type="search",
)
feedback.record_retrieval(event)
pattern = feedback.get_all_patterns()["test_tool"]
assert "find errors" in pattern.common_queries
assert pattern.common_queries["find errors"] == 2
def test_queried_fields_extracted(self):
"""Field names are extracted from queries."""
feedback = CompressionFeedback()
feedback.record_compression("test_tool", 100, 10)
# Query with field:value patterns
event = RetrievalEvent(
hash="abc123",
query="status:error id=12345",
items_retrieved=10,
total_items=100,
tool_name="test_tool",
timestamp=time.time(),
retrieval_type="search",
)
feedback.record_retrieval(event)
pattern = feedback.get_all_patterns()["test_tool"]
assert "status" in pattern.queried_fields
assert "id" in pattern.queried_fields
def test_preserve_fields_in_hints(self):
"""Frequently queried fields appear in hints."""
feedback = CompressionFeedback()
# Multiple compressions
for _ in range(10):
feedback.record_compression("test_tool", 100, 10)
# Multiple queries with same fields
for _ in range(5):
event = RetrievalEvent(
hash="abc123",
query="status:error code:500",
items_retrieved=10,
total_items=100,
tool_name="test_tool",
timestamp=time.time(),
retrieval_type="search",
)
feedback.record_retrieval(event)
hints = feedback.get_compression_hints("test_tool")
# Even if retrieval rate triggers hints, preserve_fields should be populated
assert len(hints.preserve_fields) > 0
def test_stats_returns_overview(self):
"""get_stats returns comprehensive overview."""
feedback = CompressionFeedback()
feedback.record_compression("tool_a", 100, 10)
feedback.record_compression("tool_b", 200, 20)
stats = feedback.get_stats()
assert stats["total_compressions"] == 2
assert stats["tools_tracked"] == 2
assert "tool_a" in stats["tool_patterns"]
assert "tool_b" in stats["tool_patterns"]
def test_clear_resets_state(self):
"""clear() removes all learned patterns."""
feedback = CompressionFeedback()
feedback.record_compression("test_tool", 100, 10)
feedback.clear()
assert len(feedback.get_all_patterns()) == 0
stats = feedback.get_stats()
assert stats["total_compressions"] == 0
class TestLocalToolPattern:
"""Test LocalToolPattern dataclass."""
def test_retrieval_rate_zero_compressions(self):
"""Retrieval rate is 0 when no compressions."""
pattern = LocalToolPattern(tool_name="test")
assert pattern.retrieval_rate == 0.0
def test_full_retrieval_rate_zero_retrievals(self):
"""Full retrieval rate is 0 when no retrievals."""
pattern = LocalToolPattern(tool_name="test")
assert pattern.full_retrieval_rate == 0.0
def test_search_rate_calculation(self):
"""Search rate is calculated correctly."""
pattern = LocalToolPattern(
tool_name="test",
total_retrievals=10,
full_retrievals=3,
search_retrievals=7,
)
assert pattern.search_rate == 0.7
class TestGlobalFeedback:
"""Test global feedback singleton."""
def test_singleton_returns_same_instance(self):
"""get_compression_feedback returns same instance."""
fb1 = get_compression_feedback()
fb2 = get_compression_feedback()
assert fb1 is fb2
def test_reset_clears_singleton(self):
"""reset_compression_feedback creates new instance."""
fb1 = get_compression_feedback()
fb1.record_compression("test", 100, 10)
reset_compression_feedback()
fb2 = get_compression_feedback()
assert len(fb2.get_all_patterns()) == 0
class TestFeedbackIntegrationWithStore:
"""Test feedback integration with CompressionStore."""
def test_store_notifies_feedback_on_retrieval(self):
"""CompressionStore adds events to pending for feedback processing."""
store = CompressionStore()
# Store content
hash_key = store.store(
original='[{"id": 1}, {"id": 2}]',
compressed='[{"id": 1}]',
original_item_count=2,
compressed_item_count=1,
tool_name="test_tool",
)
# Retrieve (should log event)
store.retrieve(hash_key)
# Process pending events (uses global feedback)
store.process_pending_feedback()
# Now global feedback should have the retrieval
feedback = get_compression_feedback()
patterns = feedback.get_all_patterns()
assert "test_tool" in patterns
assert patterns["test_tool"].total_retrievals == 1
def test_search_retrieval_tracked_separately(self):
"""Search retrievals are tracked as search type."""
store = CompressionStore()
hash_key = store.store(
original='[{"id": 1, "name": "alice"}, {"id": 2, "name": "bob"}]',
compressed='[{"id": 1}]',
original_item_count=2,
compressed_item_count=1,
tool_name="test_tool",
)
# Search (should log as search type)
store.search(hash_key, "alice")
# Check events
events = store.get_retrieval_events()
assert len(events) > 0
assert events[0].retrieval_type == "search"
assert events[0].query == "alice"
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