Merge pull request #28 from AlexanderWhitestone/claude/discord-bot-setup-exwPO

This commit is contained in:
Alexander Whitestone
2026-02-24 22:05:48 -05:00
committed by GitHub
3 changed files with 271 additions and 2 deletions

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@@ -62,6 +62,12 @@ test-cov-html:
$(PYTEST) tests/ --cov=src --cov-report=term-missing --cov-report=html -q
@echo "✓ HTML coverage report: open htmlcov/index.html"
# Full-stack functional test: spins up Ollama (CPU, qwen2.5:0.5b) + dashboard
# in Docker and verifies real LLM chat end-to-end.
# Override model: make test-ollama OLLAMA_TEST_MODEL=tinyllama
test-ollama:
FUNCTIONAL_DOCKER=1 $(PYTEST) tests/functional/test_ollama_chat.py -v --tb=long -x
# ── Code quality ──────────────────────────────────────────────────────────────
lint:

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@@ -3,9 +3,18 @@
# Lightweight compose for functional tests. Runs the dashboard on port 18000
# and optional agent workers on the swarm-test-net network.
#
# Profiles:
# (default) dashboard only (Ollama on host via host.docker.internal)
# ollama adds a containerised Ollama instance + auto model pull
# agents adds scalable agent workers
#
# Usage:
# # Swarm tests (no LLM needed):
# FUNCTIONAL_DOCKER=1 pytest tests/functional/test_docker_swarm.py -v
#
# # Full-stack with Ollama (pulls qwen2.5:0.5b automatically):
# FUNCTIONAL_DOCKER=1 pytest tests/functional/test_ollama_chat.py -v
#
# Or manually:
# docker compose -f docker-compose.test.yml -p timmy-test up -d --build --wait
# curl http://localhost:18000/health
@@ -13,6 +22,23 @@
services:
# ── Ollama — local LLM for functional tests ───────────────────────────────
# Activated with: --profile ollama
# Uses a tiny model (qwen2.5:0.5b, ~400 MB) so it runs on CPU-only CI.
ollama:
image: ollama/ollama:latest
container_name: timmy-test-ollama
profiles:
- ollama
networks:
- swarm-test-net
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:11434/api/tags"]
interval: 5s
timeout: 5s
retries: 20
start_period: 10s
dashboard:
build: .
image: timmy-time:test
@@ -26,7 +52,8 @@ services:
environment:
DEBUG: "true"
TIMMY_TEST_MODE: "1"
OLLAMA_URL: "http://host.docker.internal:11434"
OLLAMA_URL: "${OLLAMA_URL:-http://host.docker.internal:11434}"
OLLAMA_MODEL: "${OLLAMA_MODEL:-llama3.2}"
LIGHTNING_BACKEND: "mock"
extra_hosts:
- "host.docker.internal:host-gateway"
@@ -49,7 +76,8 @@ services:
- ./src:/app/src
environment:
COORDINATOR_URL: "http://dashboard:8000"
OLLAMA_URL: "http://host.docker.internal:11434"
OLLAMA_URL: "${OLLAMA_URL:-http://host.docker.internal:11434}"
OLLAMA_MODEL: "${OLLAMA_MODEL:-llama3.2}"
AGENT_NAME: "${AGENT_NAME:-TestWorker}"
AGENT_CAPABILITIES: "${AGENT_CAPABILITIES:-general}"
TIMMY_TEST_MODE: "1"

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@@ -0,0 +1,235 @@
"""End-to-end tests with a real Ollama container.
These tests spin up the full Docker stack **including** an Ollama container
running a tiny model (qwen2.5:0.5b, ~400 MB, CPU-only). They verify that
the dashboard can actually generate LLM responses — not just degrade
gracefully when Ollama is offline.
Run with:
FUNCTIONAL_DOCKER=1 pytest tests/functional/test_ollama_chat.py -v
Requirements:
- Docker daemon running
- ~1 GB free disk (Ollama image + model weights)
- No GPU required — qwen2.5:0.5b runs fine on CPU
The ``ollama_stack`` fixture brings up Ollama + dashboard via docker compose,
pulls the model, and tears everything down after the session.
"""
import os
import subprocess
import time
from pathlib import Path
import pytest
httpx = pytest.importorskip("httpx")
PROJECT_ROOT = Path(__file__).parent.parent.parent
COMPOSE_TEST = PROJECT_ROOT / "docker-compose.test.yml"
# Tiny model that runs on CPU without GPU. ~400 MB download.
TEST_MODEL = os.environ.get("OLLAMA_TEST_MODEL", "qwen2.5:0.5b")
# ── helpers ──────────────────────────────────────────────────────────────────
def _compose(*args, timeout=120):
"""Run a docker compose command against the test compose file."""
cmd = [
"docker", "compose",
"-f", str(COMPOSE_TEST),
"-p", "timmy-test",
*args,
]
return subprocess.run(
cmd, capture_output=True, text=True,
timeout=timeout, cwd=str(PROJECT_ROOT),
)
def _wait_for_healthy(url: str, retries=40, interval=3):
"""Poll *url* until it returns HTTP 200."""
for _ in range(retries):
try:
r = httpx.get(url, timeout=5)
if r.status_code == 200:
return True
except Exception:
pass
time.sleep(interval)
return False
def _pull_model(model: str, retries=3):
"""Ask the containerised Ollama to pull *model*."""
for attempt in range(retries):
result = subprocess.run(
[
"docker", "exec", "timmy-test-ollama",
"ollama", "pull", model,
],
capture_output=True, text=True, timeout=600,
)
if result.returncode == 0:
return True
time.sleep(5 * (attempt + 1))
return False
# ── fixtures ─────────────────────────────────────────────────────────────────
@pytest.fixture(scope="session")
def ollama_stack():
"""Bring up Ollama + dashboard, pull the test model, yield base URL.
Skipped unless ``FUNCTIONAL_DOCKER=1`` is set and Docker is available.
"""
if os.environ.get("FUNCTIONAL_DOCKER") != "1":
pytest.skip("Set FUNCTIONAL_DOCKER=1 to run Docker tests")
if not COMPOSE_TEST.exists():
pytest.skip("docker-compose.test.yml not found")
# Verify Docker daemon
docker_check = subprocess.run(
["docker", "info"], capture_output=True, text=True, timeout=10,
)
if docker_check.returncode != 0:
pytest.skip(f"Docker daemon not available: {docker_check.stderr.strip()}")
# Bring up Ollama + dashboard with the ollama profile.
# OLLAMA_URL tells the dashboard to reach the sibling container.
env = {
**os.environ,
"OLLAMA_URL": "http://ollama:11434",
"OLLAMA_MODEL": TEST_MODEL,
}
result = subprocess.run(
[
"docker", "compose",
"-f", str(COMPOSE_TEST),
"-p", "timmy-test",
"--profile", "ollama",
"up", "-d", "--build", "--wait",
],
capture_output=True, text=True, timeout=300,
cwd=str(PROJECT_ROOT), env=env,
)
if result.returncode != 0:
pytest.fail(f"docker compose up failed:\n{result.stderr}")
# Wait for Ollama to be ready
ollama_ready = _wait_for_healthy("http://localhost:18000/health")
if not ollama_ready:
logs = _compose("logs")
_compose("--profile", "ollama", "down", "-v")
pytest.fail(f"Stack never became healthy:\n{logs.stdout}")
# Pull the tiny test model into the Ollama container
if not _pull_model(TEST_MODEL):
logs = _compose("logs", "ollama")
_compose("--profile", "ollama", "down", "-v")
pytest.fail(f"Failed to pull {TEST_MODEL}:\n{logs.stdout}")
yield "http://localhost:18000"
# Teardown
subprocess.run(
[
"docker", "compose",
"-f", str(COMPOSE_TEST),
"-p", "timmy-test",
"--profile", "ollama",
"down", "-v",
],
capture_output=True, text=True, timeout=60,
cwd=str(PROJECT_ROOT),
)
# ── tests ────────────────────────────────────────────────────────────────────
class TestOllamaHealth:
"""Verify the dashboard can reach the Ollama container."""
def test_health_reports_ollama_up(self, ollama_stack):
"""GET /health should report ollama as 'up'."""
resp = httpx.get(f"{ollama_stack}/health", timeout=10)
assert resp.status_code == 200
data = resp.json()
services = data.get("services", {})
assert services.get("ollama") == "up", (
f"Expected ollama=up, got: {services}"
)
class TestOllamaChat:
"""Send a real prompt through the dashboard and get an LLM response."""
def test_chat_returns_llm_response(self, ollama_stack):
"""POST /agents/timmy/chat with a real message → non-error HTML."""
resp = httpx.post(
f"{ollama_stack}/agents/timmy/chat",
data={"message": "Say hello in exactly three words."},
timeout=120, # first inference can be slow on CPU
)
assert resp.status_code == 200
body = resp.text.lower()
# The response should contain actual content, not an error fallback
assert "error" not in body or "hello" in body, (
f"Expected LLM response, got error:\n{resp.text[:500]}"
)
def test_chat_history_contains_response(self, ollama_stack):
"""After chatting, history should include both user and agent messages."""
# Send a message
httpx.post(
f"{ollama_stack}/agents/timmy/chat",
data={"message": "What is 2+2?"},
timeout=120,
)
# Fetch history
hist = httpx.get(f"{ollama_stack}/agents/timmy/history", timeout=10)
assert hist.status_code == 200
body = hist.text.lower()
assert "2+2" in body or "2 + 2" in body
def test_multiple_turns(self, ollama_stack):
"""Verify the agent handles a second turn without crashing."""
# First turn
r1 = httpx.post(
f"{ollama_stack}/agents/timmy/chat",
data={"message": "Remember the word: pineapple"},
timeout=120,
)
assert r1.status_code == 200
# Second turn
r2 = httpx.post(
f"{ollama_stack}/agents/timmy/chat",
data={"message": "What word did I just ask you to remember?"},
timeout=120,
)
assert r2.status_code == 200
# We don't assert "pineapple" — tiny models have weak memory.
# The point is it doesn't crash on multi-turn.
class TestOllamaDirectAPI:
"""Hit the Ollama container directly to verify the model is loaded."""
def test_ollama_api_tags(self, ollama_stack):
"""Ollama /api/tags should list the pulled test model."""
# Ollama isn't port-mapped, so we exec into the container
result = subprocess.run(
[
"docker", "exec", "timmy-test-ollama",
"curl", "-sf", "http://localhost:11434/api/tags",
],
capture_output=True, text=True, timeout=10,
)
assert result.returncode == 0
assert TEST_MODEL.split(":")[0] in result.stdout