# Leaflet cluster map of talk locations # # Run this from the _talks/ directory, which contains .md files of all your # talks. This scrapes the location YAML field from each .md file, geolocates it # with geopy/Nominatim, and uses the getorg library to output data, HTML, and # Javascript for a standalone cluster map. This is functionally the same as the # #talkmap Jupyter notebook. import frontmatter import glob import getorg from geopy import Nominatim from geopy.exc import GeocoderTimedOut # Set the default timeout, in seconds TIMEOUT = 5 # Collect the Markdown files g = glob.glob("_talks/*.md") # Prepare to geolocate geocoder = Nominatim(user_agent="academicpages.github.io") location_dict = {} location = "" permalink = "" title = "" # Perform geolocation for file in g: # Read the file data = frontmatter.load(file) data = data.to_dict() # Press on if the location is not present if 'location' not in data: continue # Prepare the description title = data['title'].strip() venue = data['venue'].strip() location = data['location'].strip() description = f"{title}
{venue}; {location}" # Geocode the location and report the status try: location_dict[description] = geocoder.geocode(location, timeout=TIMEOUT) print(description, location_dict[description]) except ValueError as ex: print(f"Error: geocode failed on input {location} with message {ex}") except GeocoderTimedOut as ex: print(f"Error: geocode timed out on input {location} with message {ex}") except Exception as ex: print(f"An unhandled exception occurred while processing input {location} with message {ex}") # Save the map m = getorg.orgmap.create_map_obj() getorg.orgmap.output_html_cluster_map(location_dict, folder_name="talkmap", hashed_usernames=False)