Build Status Coverage Status

The HDX Scraper Geonode Library enables easy building of scrapers for extracting data from geonode servers.

Usage

The library has detailed API documentation which can be found here: http://ocha-dap.github.io/hdx-scraper-geonode/. The code for the library is here: https://github.com/ocha-dap/hdx-scraper-geonode.

GeoNodeToHDX Class

You should create an object of the GeoNodeToHDX class:

geonodetohdx = GeoNodeToHDX('https://geonode.wfp.org', downloader)
geonodetohdx = GeoNodeToHDX('https://geonode.themimu.info', downloader)

It has high level methods generate_datasets_and_showcases and delete_other_datasets:

# generate datasets and showcases reading country and layer information from the GeoNode
datasets = generate_datasets_and_showcases('maintainerid', 'orgid', 'orgname', updatefreq='Adhoc', 
                                           subnational=True)
# generate datasets and showcases reading layer information ignoring region (country) in layers call
countrydata = {'iso3': 'MMR', 'name': 'Myanmar', 'layers': None}
datasets = generate_datasets_and_showcases('maintainerid', 'orgid', 'orgname', updatefreq='Adhoc', 
                                           subnational=True, countrydata=countrydata)
# delete any datasets and associated showcases from HDX that are not in the list datasets
# (assuming matching organisation id, maintainer id and geonode url in the resource url)
delete_other_datasets(datasets)

If you need more fine grained control, it has low level methods get_locationsdata, get_layersdata, generate_dataset_and_showcase:

# get countries where count > 0
countries = geonodetohdx.get_countries(use_count=True)
# get layers for country with ISO 3 code SDN
layers = geonodetohdx.get_layers(countryiso='SDN')
# get layers for all countries
layers = get_layers(countryiso=None)

There are default terms to be ignored and mapped. These can be overridden by creating a YAML configuration with the new configuration in this format:

ignore_data:
  - deprecated

category_mapping:
  Elevation: 'elevation - topography - altitude'
  'Inland Waters': river

titleabstract_mapping:
  bridges:
    - bridges
    - transportation
    - 'facilities and infrastructure'
  idp:
    camp:
      - 'displaced persons locations - camps - shelters'
      - 'internally displaced persons - idp'
    else:
      - 'internally displaced persons - idp'

ignore_data are any terms in the abstract that mean that the dataset should not be added to HDX.

category_mapping are mappings from the category field category__gn_description to HDX metadata tags.

titleabstract_mapping are mappings from terms in the title or abstract to HDX metadata tags.

For more fine grained tuning of these, you retrieve the dictionaries and manipulate them directly:

geonodetohdx = GeoNodeToHDX('https://geonode.wfp.org', downloader)
ignore_data = geonodetohdx.get_ignore_data() 
category_mapping = geonodetohdx.get_category_mapping() 
titleabstract_mapping = geonodetohdx.get_titleabstract_mapping()

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.5.9)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for mcarans from gravatar.com mcarans

Credits

Author: Michael Rans

License

MIT License (MIT)

Tags

HDX scraper geonode

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hdx-scraper-geonode-1.2.6.tar.gz (19.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hdx_scraper_geonode-1.2.6-py2.py3-none-any.whl (9.5 kB view details)

Uploaded Python 2Python 3

File details

Details for the file hdx-scraper-geonode-1.2.6.tar.gz.

File metadata

  • Download URL: hdx-scraper-geonode-1.2.6.tar.gz
  • Upload date:
  • Size: 19.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.8

File hashes

Hashes for hdx-scraper-geonode-1.2.6.tar.gz
Algorithm Hash digest
SHA256 a0a88def26be52cd17d6801f605c7d37707075b3c39e4c3d161fb37751c76e4e
MD5 3ff0d2b145b2a45d08717976b6905c42
BLAKE2b-256 229514decf694f9fee51cfd0f664884615df45bca7c0f399a952abe31b9a8ab1

See more details on using hashes here.

File details

Details for the file hdx_scraper_geonode-1.2.6-py2.py3-none-any.whl.

File metadata

  • Download URL: hdx_scraper_geonode-1.2.6-py2.py3-none-any.whl
  • Upload date:
  • Size: 9.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.8

File hashes

Hashes for hdx_scraper_geonode-1.2.6-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 23f85a38c85958f8584906ccead436c9ed346c0470fe350b8a48ecc90b3455ff
MD5 348b9c8f604965cdf66e8ea9373b0755
BLAKE2b-256 383a406b708ff1183a3984c04efde26bcadb4fdbc2283c2f4c27f01f9dc50d7a

See more details on using hashes here.

Release history Release notifications | RSS feed

1.5.9

2 files

1.5.8

2 files

1.5.7

2 files

1.5.6

2 files

1.5.5

2 files

1.5.4

2 files

1.5.3

2 files

1.5.2

2 files

1.5.1

2 files

1.5.0

2 files

1.4.9

1 file

1.4.8

1 file

1.4.7

1 file

1.4.6

1 file

1.4.5

1 file

1.4.4

1 file

1.4.3

1 file

1.4.2

1 file

1.4.1

2 files

1.4.0

2 files

1.3.6

2 files

1.3.5

2 files

1.3.4

2 files

1.3.3

2 files

1.3.2

2 files

1.3.1

2 files

1.3.0

2 files

1.2.9

2 files

1.2.8

2 files

1.2.7

2 files

This release

1.2.6 This release

2 files

1.2.5

2 files

1.2.4

2 files

1.2.3

2 files

1.2.2

2 files

1.2.1

2 files

1.2.0

2 files

1.1.9

2 files

1.1.8

2 files

1.1.7

2 files

1.1.6

2 files

1.1.5

2 files

1.1.4

2 files

1.1.3

2 files

1.1.2

2 files

1.1.1

2 files

1.1.0

2 files

1.0.9

2 files

1.0.8

2 files

1.0.7

2 files

1.0.6

2 files

1.0.5

2 files

1.0.4

2 files

1.0.3

2 files

1.0.2

2 files

1.0.1

2 files

1.0.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page