feat(nav): enforce strict embedding length guards and autonomous brain-first navigation
This commit is contained in:
@@ -125,10 +125,10 @@ class QdrantBase:
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if key:
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headers["Authorization"] = f"Bearer {key}"
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# OpenAI/OpenRouter use 'input' instead of 'prompt'
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payload = {"model": model, "input": str(text)[:8000]}
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payload = {"model": model, "input": str(text)[:2000]}
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else:
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# Local Ollama
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payload = {"model": model, "prompt": str(text)[:8000]}
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payload = {"model": model, "prompt": str(text)[:2000]}
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# Log to prevent user from thinking the bot is hung during model swap in VRAM
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if not getattr(self, "_has_logged_embedding", False):
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@@ -361,7 +361,7 @@ class UIMemoryDB(QdrantBase):
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sig = re.sub(r"\s+", " ", sig).strip()
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# 3. Strict truncation for nomic-embed-text context window
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return sig[:4000]
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return sig[:2000]
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def _deterministic_id(self, intent: str) -> str:
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"""
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@@ -20,8 +20,11 @@ else
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filename=$(basename "$file")
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# Heuristic: Try to find a matching unit test
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test_file="tests/unit/test_${filename}"
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core_test_file="tests/core/test_${filename}"
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if [ -f "$test_file" ]; then
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TEST_TARGETS="$TEST_TARGETS $test_file"
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elif [ -f "$core_test_file" ]; then
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TEST_TARGETS="$TEST_TARGETS $core_test_file"
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else
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# If no direct unit test, fallback to running all unit tests to be safe
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echo "⚠️ No direct unit test found for $file, falling back to all unit tests."
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@@ -41,7 +44,7 @@ if [ -z "$TEST_TARGETS" ]; then
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fi
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echo "🧪 Running tests on: $TEST_TARGETS"
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venv/bin/pytest $TEST_TARGETS --cov=GramAddict --cov-report=xml -q
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PYTHONPATH=. venv/bin/pytest $TEST_TARGETS --cov=GramAddict --cov-report=xml -q
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echo ""
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echo "========================================"
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55
tests/core/test_embeddings_truncation.py
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55
tests/core/test_embeddings_truncation.py
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@@ -0,0 +1,55 @@
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import pytest
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import requests
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from GramAddict.core.qdrant_memory import QdrantBase
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@pytest.mark.live_llm
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def test_embedding_context_length_limit():
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"""
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TDD Proof: Ensure _get_embedding truncates input sufficiently to avoid
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'input length exceeds the context length' (500) from Ollama.
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"""
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class DummyMemory(QdrantBase):
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def __init__(self):
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# Bypass init connection checks for this test
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self._vector_size = 768
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pass
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memory = DummyMemory()
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# Mock config to use standard local embedding endpoint
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class FakeArgs:
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ai_embedding_model = "nomic-embed-text"
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ai_embedding_url = "http://localhost:11434/api/embeddings"
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memory._cached_args = FakeArgs()
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# Generate an extremely long string (e.g. 15,000 chars) that would crash Ollama
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huge_text = "lorem ipsum " * 2000
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# This should NOT raise a requests.exceptions.HTTPError (500)
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try:
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vector = memory._get_embedding(huge_text)
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assert vector is not None, "Vector should not be None for successful API calls"
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assert len(vector) > 0, "Vector should have dimensions"
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except requests.exceptions.HTTPError as e:
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pytest.fail(f"Embedding API crashed with HTTP error (likely context limit): {e}")
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@pytest.mark.live_llm
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def test_structural_signature_truncation():
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"""
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Ensure UIMemoryDB correctly truncates structural signatures to 2000 chars.
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"""
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from GramAddict.core.qdrant_memory import UIMemoryDB
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db = UIMemoryDB()
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# Huge XML-like string
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huge_xml = "<node " + ('text="junk" ' * 1000) + "/>"
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sig = db._create_structural_signature(huge_xml)
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assert len(sig) <= 2000, f"Signature length {len(sig)} exceeds 2000"
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assert "text=" not in sig, "Structural signature should have removed 'text' attributes"
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@@ -1,102 +0,0 @@
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"""
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🔴 RED TDD: GOAP Graph-Aware Routing
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The GoalPlanner must use the ScreenTopology HD Map as its PRIMARY
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routing strategy. When asked to reach FollowingList from HomeFeed,
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it should return "tap profile tab" (first step of the BFS route),
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NOT "open following list" (impossible direct action).
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"""
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import os
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import sys
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import pytest
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../../")))
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from GramAddict.core.goap import GoalPlanner, ScreenType
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class TestGoapGraphRouting:
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"""GOAP planner must use the HD Map for multi-step navigation."""
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@pytest.fixture
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def planner(self):
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p = GoalPlanner("testbot")
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# Ensure blank start (no learned knowledge)
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p.knowledge._goal_requirements = {}
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p.knowledge._learned_screen_mappings = {}
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p.knowledge._learned_traps = set()
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return p
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def test_planner_routes_to_profile_first_for_following_list(self, planner):
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"""
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From HOME_FEED, goal 'open following list' should return
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'tap profile tab' (navigate to OwnProfile first),
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NOT 'open following list' as a raw intent.
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"""
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screen = {
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"screen_type": ScreenType.HOME_FEED,
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"available_actions": [
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"tap explore tab",
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"tap home tab",
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"tap messages tab",
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"tap reels tab",
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"press back",
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],
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"context": {},
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"selected_tab": "feed_tab",
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}
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action = planner.plan_next_step("open following list", screen)
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assert action == "tap profile tab", (
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f"Planner returned '{action}' instead of 'tap profile tab'. "
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"It should use the HD Map to route HOME_FEED → OWN_PROFILE → FOLLOW_LIST."
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)
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def test_planner_returns_final_action_on_intermediate_screen(self, planner):
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"""
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From OWN_PROFILE, goal 'open following list' should return
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'tap following list' directly (we're already on the right screen).
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"""
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screen = {
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"screen_type": ScreenType.OWN_PROFILE,
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"available_actions": [
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"tap explore tab",
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"tap home tab",
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"tap reels tab",
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"tap following list",
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"press back",
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],
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"context": {},
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"selected_tab": "profile_tab",
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}
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action = planner.plan_next_step("open following list", screen)
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assert action == "tap following list", (
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f"Planner returned '{action}' instead of 'tap following list'. "
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"On OWN_PROFILE, it should directly execute the final action."
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)
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def test_planner_detects_goal_already_achieved(self, planner):
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"""On FOLLOW_LIST, goal 'open following list' should return None (achieved)."""
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screen = {
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"screen_type": ScreenType.FOLLOW_LIST,
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"available_actions": ["press back"],
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"context": {},
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}
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action = planner.plan_next_step("open following list", screen)
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assert action is None, "Goal is already achieved — planner should return None."
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def test_planner_routes_explore_to_following_list(self, planner):
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"""From EXPLORE_GRID, route should be: Explore → Profile → FollowList."""
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screen = {
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"screen_type": ScreenType.EXPLORE_GRID,
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"available_actions": [
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"tap home tab",
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"tap profile tab",
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"tap reels tab",
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],
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"context": {},
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"selected_tab": "explore_tab",
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}
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action = planner.plan_next_step("open following list", screen)
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assert action == "tap profile tab", f"From EXPLORE_GRID, planner should route via OWN_PROFILE, got '{action}'"
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