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A Python module for performing bulk imports of GIS data into SimpleGeo

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Octocat-spinner-32 README.rst
Octocat-spinner-32 bulk_import.py
Octocat-spinner-32 dump_record.py
Octocat-spinner-32 import_tiger_lm.py
README.rst

bulk_import.py performs a bulk import of a CSV file containing latitudes and longitudes, or a GIS point dataset into the SimpleGeo database.

If available, bulk_import.py uses the Python bindings to the OGR library (http://gdal.org/ogr) to read dozens of GIS vector formats, including ESRI Shapefiles, GML, KML, GeoRSS, GeoJSON, GPX, and more.

http://www.gdal.org/ogr/ogr_formats.html

The library uses the python-simplegeo library to write to the SimpleGeo API.

http://github.com/simplegeo/python-simplegeo

You can set your SimpleGeo credentials in one of two ways: Either set them in the script at the very top, or create environment variables in your shell named SIMPLEGEO_TOKEN and SIMPLEGEO_SECRET that contain your credentials.

You can use bulk_import.py in one of two ways: First, as a command line script:

$ python bulk_import.py <SimpleGeo layer> <GIS dataset> [<ID column>]

e.g.:

$ python bulk_import.py net.nocat.cities cities.gml name

IMPORTANT NOTE FOR CSV FILES: The CSV file must begin with a header line, and the columns containing the latitude and longitude must be called "latitude" and "longitude", respectively. This requirement may be relaxed in a future version.

SimpleGeo records require a unique ID. If your dataset has a unique ID column, you can provide it. If you leave out the ID column, IDs will be assigned to records from the dataset sequentially.

If a simple bulk upload isn't sophisticated enough, you can use bulk_import.py as a library, using a callback from your own script to mutate or reject records before they are added to your SimpleGeo layer. An example is given in import_tiger_lm.py, where we want to reject records that lack a "fullname" attribute:

from bulk_import import create_client, add_records
import sys

def skip_unnamed_landmarks(id, point, attrs):
    if not attrs["fullname"]: return None
    return attrs["pointid"], point, attrs

client = create_client()
for input_file in sys.argv[1:]:
    add_records(client, "net.nocat.tigerlm", input_file, skip_unnamed_landmarks)

As you can see, we create a callback that takes a sequential ID, a (lat, lon) tuple, and a dict of attributes. The callback returns None if we don't want to store a record from the dataset; otherwise, it returns a tuple (ID, (lat, lon), attrs) that is used to create the SimpleGeo record. We then call add_records() from bulk_import.py with a client object, the name of an OGR-readable dataset, the name of the SimpleGeo layer, and the callback.

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