recon/lib/nav_tools.py

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"""Navigation tools: geocoding via Photon and routing via Valhalla."""
import math
import re
import requests
from .utils import setup_logging
logger = setup_logging('recon.nav_tools')
PHOTON_URL = "http://localhost:2322"
VALHALLA_URL = "http://localhost:8002"
# Regional bias for Photon searches (Idaho-centric for Matt's use case).
# Adjustable — Photon uses these to rank nearby results higher.
GEOCODE_BIAS_LAT = 42.5736
GEOCODE_BIAS_LON = -114.6066
GEOCODE_BIAS_ZOOM = 10
# Distance threshold (meters) for annotating Photon results with address
# book labels. 75m covers GPS jitter + geocoder imprecision.
ADDRESS_BOOK_ANNOTATION_RADIUS_M = 75
# Coordinate regex — handles comma-separated and space-separated forms.
_COORD_RE = re.compile(
r'^\s*(-?\d+\.\d+)\s*[,\s]\s*(-?\d+\.\d+)\s*$'
)
VALID_MODES = {"auto", "pedestrian", "bicycle", "truck"}
def _parse_coords(text: str):
"""Return (lat, lon) if text looks like coordinates with valid bounds, else None."""
m = _COORD_RE.match(text.strip())
if not m:
return None
lat, lon = float(m.group(1)), float(m.group(2))
if -90 <= lat <= 90 and -180 <= lon <= 180:
return lat, lon
return None
def _haversine_m(lat1, lon1, lat2, lon2):
"""Haversine distance in meters between two (lat, lon) points."""
R = 6_371_000 # Earth radius in meters
rlat1, rlat2 = math.radians(lat1), math.radians(lat2)
dlat = math.radians(lat2 - lat1)
dlon = math.radians(lon2 - lon1)
a = math.sin(dlat / 2) ** 2 + math.cos(rlat1) * math.cos(rlat2) * math.sin(dlon / 2) ** 2
return R * 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
def geocode(query: str, limit: int = 10, lat=None, lon=None, zoom=None):
"""Delegate to the structured geocode module. See lib/geocode.py."""
from . import geocode as geocode_mod
return geocode_mod.geocode(query, limit=limit, lat=lat, lon=lon, zoom=zoom)
def _geocode(query: str):
"""Internal: returns (lat, lon, display_name) tuple for route()."""
result = geocode(query, limit=1)
results = result.get('results', [])
if not results:
raise ValueError(f"Could not find location: {query}")
top = results[0]
return top['lat'], top['lon'], top['name']
def reverse_geocode(lat: float, lon: float) -> str:
"""Reverse geocode coordinates via Photon. Returns formatted address string."""
try:
resp = requests.get(
f"{PHOTON_URL}/reverse",
params={"lat": lat, "lon": lon, "limit": 1},
timeout=10,
)
resp.raise_for_status()
except requests.RequestException:
raise RuntimeError("Navigation service unavailable")
data = resp.json()
features = data.get("features", [])
if not features:
return f"{lat}, {lon}"
props = features[0]["properties"]
parts = []
for key in ("name", "housenumber", "street", "city", "state", "country", "postcode"):
v = props.get(key)
if v:
parts.append(v)
return ", ".join(parts) if parts else f"{lat}, {lon}"
def route(origin: str, destination: str, mode: str = "auto") -> dict:
"""
Get a route between two locations.
Args:
origin: Starting location address, place name, or "lat,lon"
destination: Destination address, place name, or "lat,lon"
mode: Travel mode auto, pedestrian, bicycle, truck
Returns:
dict with summary, maneuvers, origin/destination info, and raw shape
"""
if mode not in VALID_MODES:
mode = "auto"
# Geocode both endpoints
orig_lat, orig_lon, orig_name = _geocode(origin)
dest_lat, dest_lon, dest_name = _geocode(destination)
# Query Valhalla
valhalla_req = {
"locations": [
{"lat": orig_lat, "lon": orig_lon},
{"lat": dest_lat, "lon": dest_lon},
],
"costing": mode,
"directions_options": {"units": "miles"},
}
try:
resp = requests.post(
f"{VALHALLA_URL}/route",
json=valhalla_req,
timeout=30,
)
except requests.RequestException:
raise RuntimeError("Navigation service unavailable")
if resp.status_code != 200:
try:
err = resp.json()
msg = err.get("error", "Unknown routing error")
except Exception:
msg = f"Routing error (HTTP {resp.status_code})"
raise RuntimeError(f"No route found between locations: {msg}")
data = resp.json()
trip = data["trip"]
summary = trip["summary"]
leg = trip["legs"][0]
# Build maneuver list
maneuvers = []
for m in leg["maneuvers"]:
streets = m.get("street_names", [])
maneuvers.append({
"instruction": m["instruction"],
"distance_miles": round(m.get("length", 0), 2),
"street_name": streets[0] if streets else "",
"type": m.get("type", 0),
"verbal_succinct": m.get("verbal_succinct_transition_instruction", ""),
})
return {
"origin": {"name": orig_name, "lat": orig_lat, "lon": orig_lon},
"destination": {"name": dest_name, "lat": dest_lat, "lon": dest_lon},
"summary": {
"distance_miles": round(summary["length"], 1),
"time_minutes": round(summary["time"] / 60, 1),
"mode": mode,
},
"maneuvers": maneuvers,
"shape": leg.get("shape", ""),
}