route-map-visualizer

Visualizes pre-ordered routes and location maps via scripts/map_generator.py. Fully offline Python engine — no outbound HTTP from Python. Road geometry rendered directly when provided by a connector; OSRM used browser-side as a fallback when it is not.

Steps

1. Choose kind

Value	Use when
"map"	Plot locations only — no path (weather, CRM records, site lists)
"route"	Ordered stops + path
"auto"	Default — infers map unless stops key or round_trip hint

2. Resolve coordinates — per point, in order:

1. lat/lon already present — from user, connector result, Dataverse, CRM, CSV, etc. Never overwrite.
2. Alias match in assets/place_lookup.json
3. Web-search the place's lat/lon, then add to payload

Never call external geocoding APIs from the script. Never invent coordinates.

3. Pass connector route data (when available)

If an upstream connector (Azure Maps, Bing Maps, etc.) returned routing data, pass it directly — the visualizer will use it for accurate distances and the actual road polyline in PNG and HTML:

Field	Source	Effect
route_geometry	Connector road polyline	Draw actual road path in PNG + HTML
legs	Connector leg breakdown	Show per-leg distance/time table
route_source	e.g. "azure_maps"	Attribution badge on map and outputs
total_distance_m	Connector total distance	Accurate distance in header + exports
total_duration_s	Connector total time	Accurate time in header + exports

Without these, the PNG uses straight lines (labeled schematic) and the HTML calls OSRM browser-side for road routing.

4. Point fields

Field	Notes
lat, lon	Required (or place_lookup match)
name	Display label
value	Metric — "24 C", "$1.2M", CRM field, etc.
icon	See icon list below
color	Hex (validated — invalid values fall back to default)
order	Optional sequence number (connector-assigned)

5. Call generate()

import sys; sys.path.insert(0, "scripts")
from map_generator import generate

# Minimal — stops in provided order, schematic PNG, OSRM HTML
result = generate({
    "kind": "route",
    "title": "Delivery run",
    "stops": [
        {"name": "Depot",  "lat": -33.86, "lon": 151.21},
        {"name": "Stop A", "lat": -33.90, "lon": 151.18},
        {"name": "Stop B", "lat": -33.88, "lon": 151.15},
    ],
    # Optional exports (all off by default):
    # "html": True   "csv": True   "geojson": True   "kml": True
    # "map_links": True   "qr_codes": True
})

# With connector road data — produces accurate PNG + no OSRM needed
result = generate({
    "kind": "route",
    "title": "Delivery run — Azure Maps",
    "stops": [...],
    "route_geometry": [              # connector road polyline
        {"lat": -33.860, "lon": 151.210},
        {"lat": -33.865, "lon": 151.208},
        ...
    ],
    "legs": [                        # per-leg breakdown
        {"from": "Depot", "to": "Stop A", "distance_m": 5200,
         "duration_s": 420, "summary": "via Parramatta Rd"},
        {"from": "Stop A", "to": "Stop B", "distance_m": 3100,
         "duration_s": 280, "summary": "via Church St"},
    ],
    "route_source": "azure_maps",
    "total_distance_m": 8300,
    "total_duration_s": 700,
    "html": True,
})
print(result["markdown"])

Key result keys: chart_path (PNG, always), html_path, csv_path, geojson_path, kml_path, map_links_path, qr_sheet_path, google_maps_url, apple_maps_url, bing_maps_url, has_road_geometry, route_source, generated_exports.

6. Reply — paste result["markdown"]. It always ends with an Optional exports hint. Clarify:

• PNG = road route when route_geometry provided, else straight-line schematic
• HTML = connector polyline embedded (no OSRM) when geometry provided, else OSRM browser-side
• schematic_order: true — opt-in offline stop ordering (NN + 2-opt, straight-line estimate); always prefer a connector for real road order