Install dweather_client:
pip3 install dweather_client
Get valid dataset names and associated hashes:
http_client.get_heads()
Get the metadata for a given dataset name:
http_client.get_metadata('chirps_05-daily')
Get a rainfall dict for a gridded dataset:
http_client.get_rainfall_dict(41.175, -75.125, 'chirps_05-daily')
Get a rainfall dataframe:
df_loader.get_rainfall_df(41.125, -75.125, 'chirps_05-daily')
Get a station dataframe:
df_loader.get_station_rainfall_df('USW00024285')
df_loader.get_station_temperature_df('USW00024285')
df_loader.get_station_snow_df('USW00024285')
See further examples in tests
cd dweather-python-client
python3 -m venv .
bin/pip3 install -r requirements.txt
bin/python3 -m pytest dweather_clieht/tests
Some dweather_client features require an ipfs daemon to work.
See Assets list at the bottom of this page: https://github.com/ipfs/go-ipfs/releases/tag/v0.6.0 Download the build appropriate for your machine, or just download the source tar if you're not sure.
Unzip the file that you downloaded.
tar xvfz {filename}.tar.gz
Move the binary into your path. sudo may be required for this.
mv go-ipfs/ipfs /usr/local/bin/ipfs
Initialize a ~/.ipfs directory. This is where your files and config will be saved.
ipfs init
Remove default peers for performance.
ipfs bootstrap rm --all
Add the dWeather server as a peer.
ipfs bootstrap add "/ip4/198.211.104.50/tcp/4001/p2p/QmWsAFSDajELyneR7LkMsgfaRk2ib1y3SEU7nQuXSNPsQV"
Start the IPFS daemon. You will need to have the daemon running to use some functionality of the dWeather client.
ipfs daemon
In a new window, confirm that you can pull content.
ipfs cat QmVsy2HZCi39ePJRpNqXEJvHgRMqjcyu1FLqgiFkPTMknq/USW00014704.csv.gz
Confirm that the dWeather server is a peer.
ipfs swarm peers
Create an isolated Python installation and install the dependencies.
git clone https://github.com/Arbol-Project/dWeather-Python-Client.git
cd dWeather-Python-Client
python3 -m venv .
bin/pip3 install -r requirements.txt
Run the tests, if you want.
bin/python3 -m pytest -s --log-cli-level=20 dweather_client/tests
Certain dweather functions will try to save query results locally to disk for faster performance on subsequent loads. This can be overridden by passing pin=False in these function calls.
Load the ipfs UI to browse what files are stored locally. Paste the following into a web browser. http://127.0.0.1:5001/webui
Navigate to Files, then click "pins." Content can be unpinned via the UI.
If you just want to remove everything, delete ~/.ipfs and rerun the installation and configuration from ipfs init.
rm -rf ~/.ipfs
See tests directory for example usage. Documented examples of usage should appear in a docs repository or in product-dev-notebook.
FAQs
Python client for interacting with weather data on IPFS.
We found that dweather-client demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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