meshai/work/tests/test_fire_tracker_phase4.py

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"""v0.7-fire-tracker-4 tests."""
from __future__ import annotations
import asyncio
import time
import uuid
import pytest
@pytest.fixture(autouse=True)
def _isolate_db(tmp_path, monkeypatch):
db_path = str(tmp_path / f"meshai-{uuid.uuid4().hex}.sqlite")
monkeypatch.setenv("MESHAI_DB_PATH", db_path)
from meshai.persistence import db as pdb
pdb.close_thread_connection()
pdb._initialised.discard(db_path)
from meshai.persistence import init_db
init_db(db_path)
yield db_path
pdb.close_thread_connection()
pdb._initialised.discard(db_path)
def _seed_fire(*, irwin_id, name, lat, lon, acres=None,
contained=None, county="Test", state="ID"):
from meshai.persistence import get_db
get_db().execute(
"INSERT INTO fires(irwin_id, incident_name, current_acres, "
"current_contained_pct, lat, lon, county, state, last_event_at) "
"VALUES (?,?,?,?,?,?,?,?,?)",
(irwin_id, name, acres, contained, lat, lon, county, state,
int(time.time())),
)
# ===========================================================================
# Bug A regression: scope_type defined before use
# ===========================================================================
def test_router_scope_type_defined_before_env_check():
"""The env_reporter check at the top of generate_llm_response reads
scope_type. Pre-fix it was UnboundLocalError on every env query."""
import re
from pathlib import Path
src = Path("/opt/meshai/meshai/router.py").read_text()
# Find the "if should_inject_mesh and scope_type" line + the
# nearest preceding `scope_type, scope_value = ` assignment.
env_use_line = None
for i, line in enumerate(src.splitlines(), start=1):
if "should_inject_mesh and scope_type" in line:
env_use_line = i
break
assert env_use_line is not None
# There must be an assignment on or before this line.
preceding = "\n".join(src.splitlines()[: env_use_line - 1])
assert re.search(r"scope_type[, ]+scope_value\s*=", preceding) \
or "scope_type:" in preceding
# ===========================================================================
# Natural-language fire DMs route to the LLM (no ?status fallback)
# ===========================================================================
def test_natural_language_fire_question_routes_to_llm():
"""The LLM DM path is the sole interface for natural-language fire
questions. Pre-revised commit there was a `?status` intent that
rewrote the query in-router; this test confirms the rewrite is gone
and that a plain English question is forwarded verbatim."""
import asyncio
from meshai.router import MessageRouter, RouteType
from meshai.config_loader import load_config
from meshai.history import ConversationHistory
from meshai.commands.dispatcher import create_dispatcher
cfg = load_config()
history = ConversationHistory(cfg.history)
async def _run():
await history.initialize()
dispatcher = create_dispatcher(
prefix=cfg.commands.prefix,
disabled_commands=cfg.commands.disabled_commands,
custom_commands=cfg.commands.custom_commands,
)
class FakeConnector:
my_node_id = "!THIS_BOT"
class FakeMessage:
text = "how's the cache peak fire?"
sender_id = "!T"
sender_name = "t"
is_dm = True
channel = 0
router = MessageRouter(
config=cfg, connector=FakeConnector(),
history=history, dispatcher=dispatcher,
llm_backend=None, # we only inspect the route() decision
)
result = await router.route(FakeMessage())
return result
result = asyncio.run(_run())
assert result.route_type == RouteType.LLM
# Critical: the query must be the verbatim user text, not a rewrite
# synthesized by an in-router intent helper.
assert result.query == "how's the cache peak fire?"
def test_status_helpers_removed_from_router():
"""Hard guard against ?status helpers sneaking back in. If anyone
adds a structured-command path to router.py for fires, this test
fails and the author has to talk to Matt first."""
from pathlib import Path
src = Path("/opt/meshai/meshai/router.py").read_text()
assert "_maybe_rewrite_status_query" not in src
assert "_lookup_fire_fuzzy" not in src
assert "?status" not in src