Difference between revisions of "Snapquery"
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| http://www.wikidata.org/entity/Q1371145 || Socks | | http://www.wikidata.org/entity/Q1371145 || Socks | ||
|} | |} | ||
+ | === Mass Import Queries == | ||
+ | <source lang='bash' highlight='1'> | ||
+ | snapquery --import samples/scholia.json | ||
+ | Importing Named Queries: 100%|████████████| 372/372 [00:00<00:00, 226127.69it/s] | ||
+ | Imported 372 named queries from samples/scholia.json. | ||
+ | </source> | ||
{{pip|snapquery}} | {{pip|snapquery}} | ||
= Links = | = Links = | ||
* https://etherpad.wikimedia.org/p/wmh2024-Wikimedia_Hackathon_2024_Closing | * https://etherpad.wikimedia.org/p/wmh2024-Wikimedia_Hackathon_2024_Closing |
Revision as of 05:17, 6 May 2024
OsProject
OsProject | |
---|---|
id | snapquery |
state | active |
owner | WolfgangFahl |
title | snapquery |
url | https://github.com/WolfgangFahl/snapquery |
version | 0.0.5 |
description | Frontend to Introduce Named Queries and Named Query Middleware to wikidata |
date | 2024-05-05 |
since | 2024-05-03 |
until |
Motivation
Querying Knowledge Graphs such as wikidata that are based on SPARQL is too complex for mere mortals. A simple
snapquery cats
should work. See https://snapquery.bitplan.com/query/wikidata-examples/cats for an example
Demos
Usage
RESTFul API
query
curl -X 'GET' \
'https://snapquery.bitplan.com/api/query/wikidata-examples/cats.mediawiki?limit=5'
cats
query
SELECT ?item ?itemLabel
WHERE {
?item wdt:P31 wd:Q146. # Must be a cat
SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". }
}
LIMIT 5
result
item | itemLabel |
---|---|
http://www.wikidata.org/entity/Q378619 | CC |
http://www.wikidata.org/entity/Q498787 | Muezza |
http://www.wikidata.org/entity/Q677525 | Orangey |
http://www.wikidata.org/entity/Q851190 | Mrs. Chippy |
http://www.wikidata.org/entity/Q893453 | Unsinkable Sam |
Commandline
Help
snapquery -h
usage: snapquery [-h] [-a] [--apache APACHE] [-c] [-d]
[--debugServer DEBUGSERVER] [--debugPort DEBUGPORT]
[--debugRemotePath DEBUGREMOTEPATH]
[--debugLocalPath DEBUGLOCALPATH] [-l] [-i INPUT] [-rol]
[--host HOST] [--port PORT] [-s] [-V] [-ep ENDPOINTPATH]
[-en ENDPOINTNAME] [-le]
Introduce Named Queries and Named Query Middleware to wikidata
options:
-h, --help show this help message and exit
-a, --about show about info [default: False]
--apache APACHE create an apache configuration file for the given
domain
-c, --client start client [default: False]
-d, --debug show debug info [default: False]
--debugServer DEBUGSERVER
remote debug Server
--debugPort DEBUGPORT
remote debug Port
--debugRemotePath DEBUGREMOTEPATH
remote debug Server path mapping - remotePath - path
on debug server
--debugLocalPath DEBUGLOCALPATH
remote debug Server path mapping - localPath - path on
machine where python runs
-l, --local run with local file system access [default: False]
-i INPUT, --input INPUT
input file
-rol, --render_on_load
render on load [default: False]
--host HOST the host to serve / listen from [default: localhost]
--port PORT the port to serve from [default: 9862]
-s, --serve start webserver [default: False]
-V, --version show program's version number and exit
-ep ENDPOINTPATH, --endpointPath ENDPOINTPATH
path to yaml file to configure endpoints to use for
queries
-en ENDPOINTNAME, --endpointName ENDPOINTNAME
Name of the endpoint to use for queries - use
--listEndpoints to list available endpoints
-le, --listEndpoints show the list of available endpoints
List Endpoints
snapquery --listEndpoints
wikidata:https://query.wikidata.org:https://query.wikidata.org/sparql(POST)
qlever-wikidata:https://qlever.cs.uni-freiburg.de/wikidata:https://qlever.cs.uni-freiburg.de/api/wikidata(POST)
Run Query
snapquery -qn cats --limit 10 -f mediawiki
cats
query
SELECT ?item ?itemLabel
WHERE {
?item wdt:P31 wd:Q146. # Must be a cat
SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". }
}
result
item | itemLabel |
---|---|
http://www.wikidata.org/entity/Q378619 | CC |
http://www.wikidata.org/entity/Q498787 | Muezza |
http://www.wikidata.org/entity/Q677525 | Orangey |
http://www.wikidata.org/entity/Q851190 | Mrs. Chippy |
http://www.wikidata.org/entity/Q893453 | Unsinkable Sam |
http://www.wikidata.org/entity/Q1050083 | Catmando |
http://www.wikidata.org/entity/Q1185550 | Oscar |
http://www.wikidata.org/entity/Q1201902 | Tama |
http://www.wikidata.org/entity/Q1207136 | Dewey Readmore Books |
http://www.wikidata.org/entity/Q1371145 | Socks |
= Mass Import Queries
snapquery --import samples/scholia.json
Importing Named Queries: 100%|████████████| 372/372 [00:00<00:00, 226127.69it/s]
Imported 372 named queries from samples/scholia.json.
Installation
pip install snapquery
# alternatively if your pip is not a python3 pip
pip3 install snapquery
# local install from source directory of snapquery
pip install .
upgrade
pip install snapquery -U
# alternatively if your pip is not a python3 pip
pip3 install snapquery -U