config/address_book.yaml

@@ -1,18 +0,0 @@
-# RECON Address Book — saved locations for navigation shortcuts.
-# Entries are matched by name and aliases (case-insensitive).
-# Add new entries by appending to the list below.
-
-entries:
-  - id: home
-    name: Home
-    aliases:
-      - home
-      - matt's house
-      - 214 north st
-      - 214 north street
-    address: "214 North St, Filer, ID 83328"
-    lat: 42.5735833
-    lon: -114.6066389
-    tags:
-      - residence
-      - primary

config/profiles/home.yaml

@@ -1,67 +0,0 @@
-# Deployment profile: Home (VM 1130)
-# Active on the main Echo6 deployment. Full stack with planet-scale NA tiles.
-# Override via RECON_PROFILE env var in /etc/systemd/system/recon.service
-
-profile: home
-region_name: "North America"
-
-tileset:
-  url: "/tiles/planet/current.pmtiles"
-  bounds: [-168, 14, -52, 72]
-  max_zoom: 15
-  attribution: "Protomaps © OSM"
-
-tileset_hillshade:
-  url: "/tiles/planet-dem.pmtiles"
-  encoding: "terrarium"
-  max_zoom: 12
-
-traffic:
-  provider: "tomtom"
-  proxy_url: "/api/traffic/flow/{z}/{x}/{y}.png"
-
-place_details:
-  local_source: "nominatim"
-  local_bbox: [-125.0, 31.3, -104.0, 49.0]
-  fallback_source: "overpass"
-
-services:
-  geocode: "/api/geocode"
-  reverse: "/api/reverse"
-  address_book: "/api/address_book"
-  valhalla: "/valhalla"
-
-auth:
-  login_url: "/outpost.goauthentik.io/start?rd=%2F"
-  logout_url: "https://auth.echo6.co/if/flow/default-invalidation-flow/?next=https://navi.echo6.co/"
-
-features:
-  has_nominatim_details: true
-  has_kiwix_wiki: true
-  has_hillshade: true
-  has_3d_terrain: false
-  has_traffic_overlay: true
-  has_landclass: true
-  has_public_lands_layer: true
-  has_contours: true
-  has_contours_test: false
-  has_contours_test_10ft: false
-  has_address_book_write: false
-  has_overture_enrichment: true
-  has_google_places_enrichment: true
-  has_contacts: true
-  has_wiki_rewriting: true
-  has_wiki_discovery: false
-  has_usfs_trails: true
-  has_blm_trails: true
-
-defaults:
-  center: [42.5736, -114.6066]
-  zoom: 10
-
-# Offroute wilderness routing
-offroute:
-  osm_pbf_path: "/mnt/nav/sources/idaho-latest.osm.pbf"
-  densify_interval_m: 100
-  postgis_dsn: "dbname=padus"
-

config/profiles/minimal_pi.yaml

@@ -1,51 +0,0 @@
-# Deployment profile: Minimal Pi (single-state pocket deployment)
-# Template for the lightest possible field kit — Idaho only.
-# Override via RECON_PROFILE env var.
-
-profile: minimal_pi
-region_name: "Idaho"
-
-tileset:
-  url: "/tiles/idaho.pmtiles"
-  bounds: [-117.5, 42.0, -111.0, 49.0]
-  max_zoom: 15
-  attribution: "Protomaps © OSM"
-
-tileset_hillshade:
-  url: "/tiles/hillshade-idaho.pmtiles"
-  encoding: "terrarium"
-  max_zoom: 12
-
-traffic:
-  provider: "tomtom"
-  proxy_url: "/api/traffic/flow/{z}/{x}/{y}.png"
-
-services:
-  geocode: "/api/geocode"
-  reverse: "/api/reverse"
-  address_book: "/api/address_book"
-  valhalla: "/valhalla"
-
-# TODO(matt): confirm logout next= host for this profile
-auth:
-  login_url: "/outpost.goauthentik.io/start?rd=%2F"
-  logout_url: "https://auth.echo6.co/if/flow/default-invalidation-flow/?next=https://navi.echo6.co/"
-
-features:
-  has_nominatim_details: false
-  has_kiwix_wiki: false
-  has_hillshade: false
-  has_3d_terrain: false
-  has_traffic_overlay: false
-  has_landclass: false
-  has_public_lands_layer: false
-  has_address_book_write: true
-  has_overture_enrichment: false
-  has_google_places_enrichment: false
-  has_contacts: false
-  has_wiki_rewriting: false
-  has_wiki_discovery: false
-
-defaults:
-  center: [44.0, -114.0]
-  zoom: 7

config/profiles/regional_pi.yaml

@@ -1,59 +0,0 @@
-# Deployment profile: Regional Pi (multi-state field kit)
-# Template for a Raspberry Pi covering Idaho + surrounding states.
-# Override via RECON_PROFILE env var.
-
-profile: regional_pi
-region_name: "Idaho + Neighbors"
-
-tileset:
-  url: "/tiles/regional.pmtiles"
-  bounds: [-125, 40, -104, 49]
-  max_zoom: 15
-  attribution: "Protomaps © OSM"
-
-tileset_hillshade:
-  url: "/tiles/hillshade-regional.pmtiles"
-  encoding: "terrarium"
-  max_zoom: 12
-
-traffic:
-  provider: "tomtom"
-  proxy_url: "/api/traffic/flow/{z}/{x}/{y}.png"
-
-place_details:
-  local_source: "nominatim"
-  local_bbox: [-125.0, 40.0, -104.0, 49.0]
-  fallback_source: "overpass"
-
-services:
-  geocode: "/api/geocode"
-  reverse: "/api/reverse"
-  address_book: "/api/address_book"
-  valhalla: "/valhalla"
-
-# TODO(matt): confirm logout next= host for this profile
-auth:
-  login_url: "/outpost.goauthentik.io/start?rd=%2F"
-  logout_url: "https://auth.echo6.co/if/flow/default-invalidation-flow/?next=https://navi.echo6.co/"
-
-features:
-  has_nominatim_details: true
-  has_kiwix_wiki: false
-  has_hillshade: true
-  has_3d_terrain: false
-  has_traffic_overlay: true
-  has_landclass: true
-  has_public_lands_layer: true
-  has_contours: true
-  has_contours_test: true
-  has_contours_test_10ft: true
-  has_address_book_write: true
-  has_overture_enrichment: false
-  has_google_places_enrichment: false
-  has_contacts: false
-  has_wiki_rewriting: true
-  has_wiki_discovery: false
-
-defaults:
-  center: [44.0, -114.0]
-  zoom: 7

lib/api.py

@@ -57,10 +57,6 @@ class _LargeZimRequest(_FlaskRequest):
         return super()._get_file_stream(total_content_length, content_type, filename, content_length)
 
 app.request_class = _LargeZimRequest
-# ── Netsyms Blueprint ──
-from .netsyms_api import netsyms_bp
-app.register_blueprint(netsyms_bp)
-
 
 # ── Navigation Constants ──
 
@@ -1319,9 +1315,6 @@ def api_keys_reload():
     return jsonify({'count': count})
 
 
-
-
-
 # ── YouTube Cookie Management ──
 
 PEERTUBE_HOST = '192.168.1.170'

lib/aurora_nav_tool.py

@@ -1,117 +0,0 @@
-"""
-title: Navigation
-author: Echo6
-version: 1.1.0
-description: Turn-by-turn directions and geocoding via Photon + Valhalla on recon-vm. Supports driving, walking, cycling, and truck routing with worldwide coverage (281M places).
-"""
-
-import re
-import json
-import requests
-from pydantic import BaseModel, Field
-
-_COORD_RE = re.compile(r'^(-?\d+\.?\d*)\s*,\s*(-?\d+\.?\d*)$')
-
-
-class Tools:
-    class Valves(BaseModel):
-        photon_url: str = Field(
-            default="http://100.64.0.24:2322",
-            description="Photon geocoding service URL (recon-vm)",
-        )
-        valhalla_url: str = Field(
-            default="http://100.64.0.24:8002",
-            description="Valhalla routing service URL (recon-vm)",
-        )
-
-    def __init__(self):
-        self.valves = self.Valves()
-
-    def _geocode(self, query: str):
-        m = _COORD_RE.match(query.strip())
-        if m:
-            lat, lon = float(m.group(1)), float(m.group(2))
-            return lat, lon, query
-        resp = requests.get(
-            f"{self.valves.photon_url}/api",
-            params={"q": query, "limit": 1},
-            timeout=10,
-        )
-        resp.raise_for_status()
-        features = resp.json().get("features", [])
-        if not features:
-            return None, None, None
-        props = features[0]["properties"]
-        coords = features[0]["geometry"]["coordinates"]
-        parts = [props.get("name", "")]
-        for key in ("city", "state", "country"):
-            v = props.get(key)
-            if v and v != parts[-1]:
-                parts.append(v)
-        return coords[1], coords[0], ", ".join(p for p in parts if p)
-
-    def get_directions(
-        self,
-        origin: str,
-        destination: str,
-        mode: str = "auto",
-    ) -> str:
-        """
-        Get turn-by-turn directions between two locations. When this tool returns results, present the directions exactly as returned — do not summarize or rephrase. Include all steps.
-
-        :param origin: Starting location — address, place name, or lat,lon coordinates
-        :param destination: Destination — address, place name, or lat,lon coordinates
-        :param mode: Travel mode: auto, pedestrian, bicycle, or truck (default: auto)
-        :return: Formatted turn-by-turn directions
-        """
-        if mode not in ("auto", "pedestrian", "bicycle", "truck"):
-            mode = "auto"
-
-        orig_lat, orig_lon, orig_name = self._geocode(origin)
-        if orig_lat is None:
-            return f"Could not find location: {origin}"
-
-        dest_lat, dest_lon, dest_name = self._geocode(destination)
-        if dest_lat is None:
-            return f"Could not find location: {destination}"
-
-        try:
-            resp = requests.post(
-                f"{self.valves.valhalla_url}/route",
-                json={
-                    "locations": [
-                        {"lat": orig_lat, "lon": orig_lon},
-                        {"lat": dest_lat, "lon": dest_lon},
-                    ],
-                    "costing": mode,
-                    "directions_options": {"units": "miles"},
-                },
-                timeout=30,
-            )
-        except requests.RequestException:
-            return "Navigation service unavailable"
-
-        if resp.status_code != 200:
-            return "No route found between locations"
-
-        trip = resp.json()["trip"]
-        summary = trip["summary"]
-        legs = trip["legs"][0]["maneuvers"]
-
-        miles = round(summary["length"], 1)
-        minutes = round(summary["time"] / 60, 1)
-
-        lines = [
-            f"Directions from {orig_name} to {dest_name} ({mode}):",
-            f"Distance: {miles} miles | Time: {minutes} minutes",
-            "",
-        ]
-        for i, m in enumerate(legs, 1):
-            inst = m["instruction"]
-            dist = m.get("length", 0)
-            if dist > 0:
-                lines.append(f"{i}. {inst} — {round(dist, 1)} mi")
-            else:
-                lines.append(f"{i}. {inst}")
-
-        return "\n".join(lines)

lib/auth.py

@@ -1,22 +0,0 @@
-"""
-RECON Auth Helper — extract user identity from Authentik forward-auth headers.
-"""
-from functools import wraps
-from flask import request, jsonify
-
-
-def get_user_id():
-    """Return X-Authentik-Username or None."""
-    return request.headers.get('X-Authentik-Username')
-
-
-def require_auth(f):
-    """Decorator: 401 if no Authentik auth header."""
-    @wraps(f)
-    def wrapper(*args, **kwargs):
-        user_id = get_user_id()
-        if not user_id:
-            return jsonify({'error': 'Authentication required'}), 401
-        request.user_id = user_id
-        return f(*args, **kwargs)
-    return wrapper

lib/deployment_config.py

@@ -1,54 +0,0 @@
-"""
-Deployment profile loader.
-
-Reads RECON_PROFILE env var (default: "home"), loads the matching YAML
-from config/profiles/<profile>.yaml, and caches the parsed dict in memory.
-
-Exposes get_deployment_config() as the in-process accessor for the profile.
-
-Note: its former consumers (the /api/landclass gate, google_places,
-place_detail, offroute/router) were all extracted to navi-* services or removed
-across cleanups #4–#6/#27 — recon has no remaining caller of
-get_deployment_config() today; the module is retained per cleanup #1.
-(The former /api/config HTTP endpoint that served this dict to the frontend was
-removed once navi-config (:8422) took over that route.)
-"""
-import os
-import yaml
-from .utils import setup_logging
-
-logger = setup_logging('recon.deployment_config')
-
-_config_cache = None
-
-
-def load_deployment_config():
-    """Load and cache the deployment profile. Called once at import time."""
-    global _config_cache
-
-    profile = os.environ.get('RECON_PROFILE', 'home')
-    config_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), 'config', 'profiles')
-    config_path = os.path.join(config_dir, f'{profile}.yaml')
-
-    if not os.path.exists(config_path):
-        raise FileNotFoundError(
-            f"Deployment profile '{profile}' not found at {config_path}. "
-            f"Available profiles: {', '.join(f.replace('.yaml','') for f in os.listdir(config_dir) if f.endswith('.yaml'))}"
-        )
-
-    with open(config_path, 'r') as f:
-        _config_cache = yaml.safe_load(f)
-
-    logger.info(f"Loaded deployment profile: {profile} ({_config_cache.get('region_name', 'unknown')})")
-    return _config_cache
-
-
-def get_deployment_config():
-    """Return the cached deployment config dict."""
-    if _config_cache is None:
-        load_deployment_config()
-    return _config_cache
-
-
-# Load on import so startup fails fast if profile is missing
-load_deployment_config()

lib/extractor.py

@@ -21,7 +21,6 @@ Config: processing.extract_workers, processing.max_pdf_size_mb,
         processing.extract_timeout, processing.page_timeout
 """
 import base64
-import re
 import json
 import os
 import random
@@ -100,40 +99,6 @@ def _is_transient(error_str):
     return any(sig in s for sig in transient_signals)
 
 
-def _text_quality_ok(text, min_length=50):
-    """Check if extracted text meets quality thresholds.
-
-    Beyond the basic length check, validates:
-    - Word-boundary ratio: at least 60% of tokens should be real words (2+ alpha chars)
-    - Concatenation ratio: lowercase-immediately-followed-by-uppercase shouldn't exceed 10% of word count
-
-    Returns True if text passes all checks.
-    """
-    text = text.strip()
-    if len(text) < min_length:
-        return False
-
-    words = text.split()
-    if not words:
-        return False
-
-    # Word-like ratio: tokens with 2+ alphabetic characters
-    word_like = sum(1 for w in words if len(re.findall(r'[a-zA-Z]', w)) >= 2)
-    word_ratio = word_like / len(words)
-    if word_ratio < 0.60:
-        return False
-
-    # Concatenation detector: lowercase immediately followed by uppercase
-    # Filter out common camelCase patterns in code (short tokens)
-    concat_hits = len(re.findall(r'[a-z][A-Z]', text))
-    concat_ratio = concat_hits / len(words) if words else 0
-    if concat_ratio > 0.10:
-        return False
-
-    return True
-
-
-
 def _render_page_to_png(pdf_path, page_num_1indexed, dpi=200, timeout=30):
     """Render a single PDF page to PNG bytes using pdftoppm.
 
@@ -259,7 +224,7 @@ def _extract_page_without_reader(pdf_path, page_num_0indexed, page_timeout=30):
     # Method 1: pdftotext (poppler)
     try:
         result = subprocess.run(
-            ['pdftotext', '-layout', '-f', str(page_num_0indexed + 1),
+            ['pdftotext', '-f', str(page_num_0indexed + 1),
              '-l', str(page_num_0indexed + 1), pdf_path, '-'],
             capture_output=True, text=True, timeout=page_timeout
         )
@@ -268,7 +233,7 @@ def _extract_page_without_reader(pdf_path, page_num_0indexed, page_timeout=30):
     except Exception:
         pass
 
-    if _text_quality_ok(text):
+    if len(text.strip()) >= 50:
         return text, 'pdftotext'
 
     # Method 2: pdftoppm + Tesseract OCR
@@ -293,7 +258,7 @@ def _extract_page_without_reader(pdf_path, page_num_0indexed, page_timeout=30):
     except Exception:
         pass
 
-    if _text_quality_ok(text):
+    if len(text.strip()) >= 50:
         return text, 'tesseract'
 
     # Method 3: Gemini Vision (last resort)
@@ -311,26 +276,8 @@ def _extract_page_without_reader(pdf_path, page_num_0indexed, page_timeout=30):
 # ── Core extraction functions ──
 
 def _pypdf2_extract(reader, page_num):
-    """Extract text from a PyPDF2 page object. Runs inside a thread for timeout.
+    """Extract text from a PyPDF2 page object. Runs inside a thread for timeout."""
-
+    return reader.pages[page_num].extract_text() or ''
-    Tries default extraction first (space_width=200). If quality check fails,
-    retries with space_width=100 which better detects word boundaries in
-    tightly-kerned PDFs (common in Haynes/workshop manuals).
-
-    Note: PyPDF2 3.0.1 does not support layout=True. The space_width parameter
-    controls word-boundary detection tolerance. Lower values = more aggressive
-    space insertion between characters.
-    """
-    text = reader.pages[page_num].extract_text() or ''
-    if _text_quality_ok(text):
-        return text
-
-    # Retry with tighter word-boundary detection
-    text_tight = reader.pages[page_num].extract_text(space_width=100.0) or ''
-    if len(text_tight.strip()) >= len(text.strip()):
-        return text_tight
-
-    return text
 
 
 def extract_text_from_page(reader, page_num, pdf_path, page_timeout=30):
@@ -355,13 +302,13 @@ def extract_text_from_page(reader, page_num, pdf_path, page_timeout=30):
     except Exception:
         text = ''
 
-    if _text_quality_ok(text):
+    if len(text.strip()) >= 50:
         return text, 'pypdf2'
 
     # Method 2: pdftotext via subprocess (inherently timeout-safe)
     try:
         result = subprocess.run(
-            ['pdftotext', '-layout', '-f', str(page_num + 1), '-l', str(page_num + 1), pdf_path, '-'],
+            ['pdftotext', '-f', str(page_num + 1), '-l', str(page_num + 1), pdf_path, '-'],
             capture_output=True, text=True, timeout=page_timeout
         )
         if result.returncode == 0 and len(result.stdout.strip()) > len(text.strip()):
@@ -369,7 +316,7 @@ def extract_text_from_page(reader, page_num, pdf_path, page_timeout=30):
     except Exception:
         pass
 
-    if _text_quality_ok(text):
+    if len(text.strip()) >= 50:
         return text, 'pdftotext'
 
     # Method 3: pdftoppm + Tesseract OCR
@@ -393,7 +340,7 @@ def extract_text_from_page(reader, page_num, pdf_path, page_timeout=30):
     except Exception:
         pass
 
-    if _text_quality_ok(text):
+    if len(text.strip()) >= 50:
         return text, 'tesseract'
 
     # Method 4: Gemini Vision (last resort — costs API calls but handles scanned docs)

lib/netsyms.py

@@ -1,228 +0,0 @@
-"""
-RECON Netsyms AddressDatabase2025 — SQLite-backed US+CA address lookup.
-
-Provides 159.78M geocoded addresses as tier-2 between address book
-(exact named locations) and Photon (full-text global geocoding).
-
-Database: /mnt/nav/addresses/AddressDatabase2025.sqlite (read-only)
-"""
-
-import os
-import re
-import sqlite3
-import threading
-
-from .utils import setup_logging
-
-logger = setup_logging('recon.netsyms')
-
-_DB_PATH = '/mnt/nav/addresses/AddressDatabase2025.sqlite'
-
-_conn = None
-_lock = threading.Lock()
-_cached_row_count = None
-
-# US states + DC + territories, CA provinces, for free-text parsing
-_STATE_CODES = {
-    'AL', 'AK', 'AZ', 'AR', 'CA', 'CO', 'CT', 'DE', 'FL', 'GA',
-    'HI', 'ID', 'IL', 'IN', 'IA', 'KS', 'KY', 'LA', 'ME', 'MD',
-    'MA', 'MI', 'MN', 'MS', 'MO', 'MT', 'NE', 'NV', 'NH', 'NJ',
-    'NM', 'NY', 'NC', 'ND', 'OH', 'OK', 'OR', 'PA', 'RI', 'SC',
-    'SD', 'TN', 'TX', 'UT', 'VT', 'VA', 'WA', 'WV', 'WI', 'WY',
-    'DC', 'PR', 'VI', 'GU', 'AS', 'MP',
-    # Canadian provinces
-    'AB', 'BC', 'MB', 'NB', 'NL', 'NS', 'NT', 'NU', 'ON', 'PE',
-    'QC', 'SK', 'YT',
-}
-
-_NUMBER_RE = re.compile(r'^(\d+[\w-]*)(.*)$')
-
-
-def _get_conn():
-    """Lazy-open a read-only SQLite connection."""
-    global _conn
-    if _conn is not None:
-        return _conn
-    with _lock:
-        if _conn is not None:
-            return _conn
-        uri = f'file:{_DB_PATH}?mode=ro'
-        _conn = sqlite3.connect(uri, uri=True, check_same_thread=False)
-        _conn.row_factory = sqlite3.Row
-        logger.info("Netsyms DB opened: %s", _DB_PATH)
-        return _conn
-
-
-def _row_to_dict(row):
-    """Convert a sqlite3.Row to a plain dict with lat/lon keys."""
-    return {
-        'zipcode': row['zipcode'],
-        'number': row['number'],
-        'street': row['street'],
-        'street2': row['street2'],
-        'city': row['city'],
-        'state': row['state'],
-        'plus4': row['plus4'],
-        'country': row['country'],
-        'lat': float(row['latitude']),
-        'lon': float(row['longitude']),
-        'source': row['source'],
-    }
-
-
-def lookup_by_street(number, street, city=None, state=None,
-                     zipcode=None, country=None, limit=20):
-    """Match on number + street, with optional qualifiers."""
-    conn = _get_conn()
-    clauses = ['number = ?', 'street = ?']
-    params = [str(number).strip().upper(), street.strip().upper()]
-
-    if city:
-        clauses.append('city = ?')
-        params.append(city.strip().upper())
-    if state:
-        clauses.append('state = ?')
-        params.append(state.strip().upper())
-    if zipcode:
-        clauses.append('zipcode = ?')
-        params.append(zipcode.strip())
-    if country:
-        clauses.append('country = ?')
-        params.append(country.strip().upper())
-
-    sql = f"SELECT * FROM addresses WHERE {' AND '.join(clauses)} LIMIT ?"
-    params.append(limit)
-
-    with _lock:
-        try:
-            rows = conn.execute(sql, params).fetchall()
-        except sqlite3.Error as e:
-            logger.warning("Netsyms lookup_by_street error: %s", e)
-            return []
-
-    results = [_row_to_dict(r) for r in rows]
-    logger.debug("lookup_by_street(%s, %s, city=%s, state=%s) → %d results",
-                 number, street, city, state, len(results))
-    return results
-
-
-def lookup_free_text(query, country_hint=None):
-    """Parse a free-text address and look it up."""
-    q = query.strip()
-    if not q:
-        return []
-
-    # Strip trailing zipcode if present
-    zipcode = None
-    zip_match = re.search(r'\b(\d{5})\s*$', q)
-    if zip_match:
-        zipcode = zip_match.group(1)
-        q = q[:zip_match.start()].strip().rstrip(',').strip()
-
-    # Strip trailing state
-    tokens = re.split(r'[,\s]+', q)
-    tokens = [t for t in tokens if t]
-    if not tokens:
-        return []
-
-    state = None
-    if len(tokens) >= 2 and tokens[-1].upper() in _STATE_CODES:
-        state = tokens[-1].upper()
-        tokens = tokens[:-1]
-
-    # Leading digits → number
-    number = None
-    if tokens and re.match(r'^\d', tokens[0]):
-        number = tokens[0]
-        tokens = tokens[1:]
-
-    if not tokens:
-        # Only a number, or empty — try zipcode if we have one
-        if zipcode:
-            return lookup_by_zipcode(zipcode, limit=20)
-        return []
-
-    # If state was found and we have 2+ tokens remaining, last token is city
-    city = None
-    if state and len(tokens) >= 2:
-        city = tokens[-1]
-        tokens = tokens[:-1]
-
-    street = ' '.join(tokens)
-
-    if number:
-        results = lookup_by_street(number, street, city=city, state=state,
-                                   zipcode=zipcode, country=country_hint)
-        if results:
-            logger.debug("lookup_free_text(%r) → %d results via street match",
-                         query, len(results))
-            return results
-
-    # Fallback: try zipcode only if available
-    if zipcode:
-        return lookup_by_zipcode(zipcode, limit=20)
-
-    logger.debug("lookup_free_text(%r) → 0 results", query)
-    return []
-
-
-def lookup_by_zipcode(zipcode, limit=100):
-    """Direct zipcode lookup."""
-    conn = _get_conn()
-    sql = "SELECT * FROM addresses WHERE zipcode = ? LIMIT ?"
-    params = [zipcode.strip(), limit]
-
-    with _lock:
-        try:
-            rows = conn.execute(sql, params).fetchall()
-        except sqlite3.Error as e:
-            logger.warning("Netsyms lookup_by_zipcode error: %s", e)
-            return []
-
-    results = [_row_to_dict(r) for r in rows]
-    logger.debug("lookup_by_zipcode(%s) → %d results", zipcode, len(results))
-    return results
-
-
-def health():
-    """Health check with cached row count."""
-    global _cached_row_count
-
-    try:
-        file_size = os.path.getsize(_DB_PATH)
-    except OSError:
-        return {'ok': False, 'row_count': 0, 'file_size_bytes': 0,
-                'indexed_countries': []}
-
-    try:
-        conn = _get_conn()
-    except Exception:
-        return {'ok': False, 'row_count': 0, 'file_size_bytes': file_size,
-                'indexed_countries': []}
-
-    if _cached_row_count is None:
-        with _lock:
-            if _cached_row_count is None:
-                try:
-                    row = conn.execute(
-                        "SELECT COUNT(*) AS cnt FROM addresses"
-                    ).fetchone()
-                    _cached_row_count = row['cnt']
-                except sqlite3.Error:
-                    _cached_row_count = 0
-
-    with _lock:
-        try:
-            rows = conn.execute(
-                "SELECT DISTINCT country FROM addresses"
-            ).fetchall()
-            countries = sorted(r['country'] for r in rows)
-        except sqlite3.Error:
-            countries = []
-
-    return {
-        'ok': True,
-        'row_count': _cached_row_count,
-        'file_size_bytes': file_size,
-        'indexed_countries': countries,
-    }

lib/netsyms_api.py

@@ -1,31 +0,0 @@
-"""
-RECON Netsyms API — Flask Blueprint.
-
-GET /api/netsyms/lookup?q=<free text>&country=<optional>
-GET /api/netsyms/health
-"""
-
-from flask import Blueprint, request, jsonify
-
-from . import netsyms
-from .utils import setup_logging
-
-logger = setup_logging('recon.netsyms_api')
-
-netsyms_bp = Blueprint('netsyms', __name__)
-
-
-@netsyms_bp.route('/api/netsyms/lookup')
-def api_netsyms_lookup():
-    q = request.args.get('q', '').strip()
-    if not q:
-        return jsonify({'error': 'Missing q parameter'}), 400
-
-    country = request.args.get('country', '').strip() or None
-    results = netsyms.lookup_free_text(q, country_hint=country)
-    return jsonify({'results': results, 'count': len(results), 'query': q})
-
-
-@netsyms_bp.route('/api/netsyms/health')
-def api_netsyms_health():
-    return jsonify(netsyms.health())

lib/netsyms_test.py

@@ -1,80 +0,0 @@
-#!/usr/bin/env python3
-"""Tests for Netsyms address database module."""
-
-import sys
-import os
-
-# Ensure the lib directory is importable
-sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-
-from lib import netsyms
-
-
-def test_lookup_by_street_lowercase():
-    results = netsyms.lookup_by_street("214", "North St", city="Filer", state="ID")
-    assert len(results) >= 1, f"Expected at least 1 result, got {len(results)}"
-    r = results[0]
-    assert abs(r['lat'] - 42.5736) < 0.01, f"Lat mismatch: {r['lat']}"
-    assert abs(r['lon'] - (-114.6066)) < 0.01, f"Lon mismatch: {r['lon']}"
-    print("  PASS: lookup_by_street (lowercase)")
-
-
-def test_lookup_by_street_uppercase():
-    results = netsyms.lookup_by_street("214", "NORTH ST", city="FILER", state="ID")
-    assert len(results) >= 1, f"Expected at least 1 result, got {len(results)}"
-    r = results[0]
-    assert abs(r['lat'] - 42.5736) < 0.01, f"Lat mismatch: {r['lat']}"
-    print("  PASS: lookup_by_street (uppercase)")
-
-
-def test_lookup_nonexistent():
-    results = netsyms.lookup_by_street("999999", "Nonexistent Rd",
-                                       city="Filer", state="ID")
-    assert results == [], f"Expected empty list, got {len(results)} results"
-    print("  PASS: lookup_by_street (nonexistent)")
-
-
-def test_free_text_with_commas():
-    results = netsyms.lookup_free_text("214 North St, Filer, ID")
-    assert len(results) >= 1, f"Expected at least 1 result, got {len(results)}"
-    r = results[0]
-    assert r['city'] == 'FILER', f"City mismatch: {r['city']}"
-    assert r['state'] == 'ID', f"State mismatch: {r['state']}"
-    print("  PASS: lookup_free_text (commas)")
-
-
-def test_free_text_no_commas():
-    results = netsyms.lookup_free_text("214 North St Filer ID")
-    assert len(results) >= 1, f"Expected at least 1 result, got {len(results)}"
-    r = results[0]
-    assert r['state'] == 'ID', f"State mismatch: {r['state']}"
-    print("  PASS: lookup_free_text (no commas)")
-
-
-def test_lookup_by_zipcode():
-    results = netsyms.lookup_by_zipcode("83328", limit=5)
-    assert len(results) == 5, f"Expected 5 results, got {len(results)}"
-    for r in results:
-        assert r['zipcode'] == '83328', f"Zipcode mismatch: {r['zipcode']}"
-    print("  PASS: lookup_by_zipcode")
-
-
-def test_health():
-    h = netsyms.health()
-    assert h['ok'] is True, f"Health not OK: {h}"
-    assert h['row_count'] >= 159_000_000, f"Row count too low: {h['row_count']}"
-    assert 'US' in h['indexed_countries'], f"US not in countries: {h['indexed_countries']}"
-    assert 'CA' in h['indexed_countries'], f"CA not in countries: {h['indexed_countries']}"
-    print("  PASS: health")
-
-
-if __name__ == '__main__':
-    print("Running Netsyms tests...")
-    test_lookup_by_street_lowercase()
-    test_lookup_by_street_uppercase()
-    test_lookup_nonexistent()
-    test_free_text_with_commas()
-    test_free_text_no_commas()
-    test_lookup_by_zipcode()
-    test_health()
-    print("All tests passed.")

lib/processors/zim_processor.py

@@ -77,73 +77,10 @@ def _text_hash(text):
     return hashlib.md5(text.encode('utf-8')).hexdigest()
 
 
-def _flatten_table(table_el):
-    """Convert a <table> element to pipe-delimited text.
-
-    Each <tr> becomes a row with cells joined by ' | '.
-    Returns the formatted table as a string with blank lines around it.
-    """
-    rows = []
-    for tr in table_el.iter('tr'):
-        cells = []
-        for cell in tr:
-            if cell.tag in ('td', 'th'):
-                cell_text = (cell.text_content() or '').strip()
-                # Collapse internal whitespace in each cell
-                cell_text = re.sub(r'\s+', ' ', cell_text)
-                if cell_text:
-                    cells.append(cell_text)
-        if cells:
-            rows.append(' | '.join(cells))
-    if not rows:
-        return ''
-    return '\n'.join(rows)
-
-
-def _preprocess_tree(doc):
-    """Pre-process HTML tree to add delimiters before text_content() flattens it.
-
-    Handles: <table>, <br>, <li>, <dt>, <dd> -- elements that lxml's
-    text_content() would concatenate without any separators.
-    """
-    from lxml import etree
-
-    # 1. Replace <table> elements with their pipe-delimited text
-    for table in list(doc.iter('table')):
-        formatted = _flatten_table(table)
-        if formatted:
-            replacement = etree.Element('div')
-            replacement.text = '\n\n' + formatted + '\n\n'
-            parent = table.getparent()
-            if parent is not None:
-                parent.replace(table, replacement)
-        else:
-            table.drop_tree()
-
-    # 2. <br> -> inject newline
-    for br in list(doc.iter('br')):
-        br.tail = '\n' + (br.tail or '')
-
-    # 3. <li> -> inject newline + "- " prefix
-    for li in list(doc.iter('li')):
-        li.text = '- ' + (li.text or '')
-        li.tail = '\n' + (li.tail or '')
-
-    # 4. <dt> -> inject newline before
-    for dt in list(doc.iter('dt')):
-        dt.tail = '\n' + (dt.tail or '')
-
-    # 5. <dd> -> inject newline + indent
-    for dd in list(doc.iter('dd')):
-        dd.text = '  ' + (dd.text or '')
-        dd.tail = '\n' + (dd.tail or '')
-
-
 def _html_to_text(html_bytes):
     """Convert HTML bytes to clean text via lxml.
 
     Strips nav, footer, script, style elements. Decodes entities.
-    Pre-processes tables, lists, and line breaks for proper delimiters.
     Normalizes whitespace.
     """
     try:
@@ -156,9 +93,6 @@ def _html_to_text(html_bytes):
         for el in doc.iter(tag):
             el.drop_tree()
 
-    # Pre-process tree: tables -> pipe-delimited, br -> newlines, li -> dashes
-    _preprocess_tree(doc)
-
     # Extract text
     text = doc.text_content()
 

lib/query_router.py

@@ -1,161 +0,0 @@
-"""Semantic query router for Aurora.
-
-Classifies user queries into routes (nav_route, nav_reverse_geocode,
-direct_answer, rag_search) by comparing query embeddings against
-pre-computed route centroids from example queries.
-
-TEI endpoint: http://100.64.0.14:8090/embed (cortex via Tailscale)
-"""
-
-import math
-import threading
-import requests
-
-# ── Route examples ────────────────────────────────────────────────────────────
-ROUTE_EXAMPLES = {
-    "nav_route": [
-        "how do I get to Boise",
-        "directions to Twin Falls",
-        "how do I get from Buhl to Boise",
-        "drive from Jerome to Sun Valley",
-        "route from Boise to McCall",
-        "what's the fastest way to Sun Valley",
-        "how far is it to Twin Falls",
-        "take me to Shoshone",
-        "navigate to the airport",
-        "how do I drive to Salt Lake City",
-        "walking directions to the park",
-        "bike route to downtown",
-    ],
-    "nav_reverse_geocode": [
-        "what town is at 42.5, -114.7",
-        "where am I right now",
-        "what is at coordinates 43.6, -116.2",
-        "what location is 42.574, -114.607",
-        "where is this place 44.0, -114.3",
-        "what city is near 42.7, -114.5",
-        "reverse geocode 43.0, -115.0",
-        "what's at this location 42.9, -114.8",
-    ],
-    "direct_answer": [
-        "hello",
-        "hey aurora",
-        "good morning",
-        "thanks",
-        "thank you",
-        "what's your name",
-        "who are you",
-        "tell me a joke",
-        "how are you",
-        "hi there",
-    ],
-    "rag_search": [
-        "what does the survival manual say about water",
-        "how to purify water in the field",
-        "how to treat a gunshot wound",
-        "what is the ranger handbook chapter on patrolling",
-        "field manual water purification",
-        "how to build a shelter in the wilderness",
-        "tactical combat casualty care procedures",
-        "what does FM 21-76 say about fire starting",
-    ],
-}
-
-# ── Module-level cache ────────────────────────────────────────────────────────
-_ROUTE_CENTROIDS: dict | None = None
-_LOCK = threading.Lock()
-
-
-def _embed_batch(texts: list[str], tei_url: str) -> list[list[float]]:
-    """Embed a batch of texts via TEI."""
-    resp = requests.post(tei_url, json={"inputs": texts}, timeout=30)
-    resp.raise_for_status()
-    return resp.json()
-
-
-def _compute_centroid(vectors: list[list[float]]) -> list[float]:
-    """Element-wise mean of vectors."""
-    n = len(vectors)
-    dim = len(vectors[0])
-    centroid = [0.0] * dim
-    for vec in vectors:
-        for i in range(dim):
-            centroid[i] += vec[i]
-    for i in range(dim):
-        centroid[i] /= n
-    return centroid
-
-
-def _cosine_similarity(a: list[float], b: list[float]) -> float:
-    """Cosine similarity between two vectors (pure Python)."""
-    dot = 0.0
-    norm_a = 0.0
-    norm_b = 0.0
-    for i in range(len(a)):
-        dot += a[i] * b[i]
-        norm_a += a[i] * a[i]
-        norm_b += b[i] * b[i]
-    denom = math.sqrt(norm_a) * math.sqrt(norm_b)
-    if denom == 0:
-        return 0.0
-    return dot / denom
-
-
-def _ensure_centroids(tei_url: str) -> dict[str, list[float]]:
-    """Lazy-init: embed all examples in one batch, compute centroids, cache."""
-    global _ROUTE_CENTROIDS
-    if _ROUTE_CENTROIDS is not None:
-        return _ROUTE_CENTROIDS
-
-    with _LOCK:
-        if _ROUTE_CENTROIDS is not None:
-            return _ROUTE_CENTROIDS
-
-        # Flatten all examples into one batch
-        all_texts = []
-        route_ranges: dict[str, tuple[int, int]] = {}
-        offset = 0
-        for route, examples in ROUTE_EXAMPLES.items():
-            route_ranges[route] = (offset, offset + len(examples))
-            all_texts.extend(examples)
-            offset += len(examples)
-
-        all_vectors = _embed_batch(all_texts, tei_url)
-
-        centroids = {}
-        for route, (start, end) in route_ranges.items():
-            centroids[route] = _compute_centroid(all_vectors[start:end])
-
-        _ROUTE_CENTROIDS = centroids
-        return _ROUTE_CENTROIDS
-
-
-def classify(
-    query: str,
-    tei_url: str = "http://100.64.0.14:8090/embed",
-    threshold: float = 0.45,
-) -> tuple[str, float]:
-    """Classify a query into a route.
-
-    Returns (route_name, confidence). If no route exceeds the threshold,
-    returns ("rag_search", best_score) as the safe default.
-    """
-    centroids = _ensure_centroids(tei_url)
-
-    # Embed the query
-    vecs = _embed_batch([query], tei_url)
-    query_vec = vecs[0]
-
-    # Compare against all centroids
-    best_route = "rag_search"
-    best_score = 0.0
-    for route, centroid in centroids.items():
-        sim = _cosine_similarity(query_vec, centroid)
-        if sim > best_score:
-            best_score = sim
-            best_route = route
-
-    if best_score < threshold:
-        return ("rag_search", best_score)
-
-    return (best_route, best_score)

lib/query_router_test.py

@@ -1,49 +0,0 @@
-#!/usr/bin/env python3
-"""Test suite for the semantic query router."""
-
-import sys
-import os
-
-sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-
-from lib.query_router import classify
-
-TEST_QUERIES = [
-    ("how do I get from Buhl to Boise", "nav_route"),
-    ("what does the survival manual say about water", "rag_search"),
-    ("what town is at 42.5, -114.7", "nav_reverse_geocode"),
-    ("hey aurora", "direct_answer"),
-    ("what's the fastest way to Sun Valley", "nav_route"),
-    ("how to purify water in the field", "rag_search"),
-    ("good morning", "direct_answer"),
-]
-
-
-def main():
-    print("Query Router Test Suite")
-    print("=" * 70)
-
-    passed = 0
-    failed = 0
-
-    for query, expected in TEST_QUERIES:
-        route, confidence = classify(query)
-        status = "PASS" if route == expected else "FAIL"
-        if status == "PASS":
-            passed += 1
-        else:
-            failed += 1
-        print(f"  [{status}] {query!r}")
-        print(f"         → {route} ({confidence:.3f})  expected={expected}")
-
-    print("=" * 70)
-    print(f"Results: {passed}/{passed + failed} passed")
-    if failed:
-        print(f"  {failed} FAILED")
-        sys.exit(1)
-    else:
-        print("  All tests passed!")
-
-
-if __name__ == "__main__":
-    main()

requirements.txt

@@ -3,7 +3,6 @@ anyio==4.12.1
 babel==2.18.0
 beautifulsoup4==4.14.3
 blinker==1.9.0
-cachetools==7.1.3
 certifi==2026.1.4
 cffi==2.0.0
 charset-normalizer==3.4.4