WeaviateTest
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OsProject
| OsProject | |
|---|---|
 edit
| |
| id | WeaviateTest |
| state | |
| owner | Wolfgang Fahl |
| title | WeaviateTest |
| url | https://github.com/WolfgangFahl/pyWeaviateTest |
| version | 0.0.1 |
| description | |
| date | 2021/07/26 |
| since | |
| until | |
This is sample project to test Python based storage with
The motivation for this project was the Choice of a Database storage system for the ProceedingsTitleParser
Installation and test
Prerequisites
- python > version 3.6 - tested with version 3.6/3.7/3.8/3.9
- docker e.g. docker desktop community - tested with e.g. docker desktop 2.3.0.4 Docker version 19.03.12
- Operating system that can run bash scripts e.g. macports, linux - tested on Mac OS 10.13.6 Macports 2.6.2, Ubuntu 18.04 LTS
Installation
https://github.com/WolfgangFahl/pyWeaviateTest
cd pyWeaviateTest
scripts/install
Starting servers
# pull and run weaviate
scripts/weaviate -d -r -w
Test
scripts/test
Sample Data
UML
Python
@staticmethod
def getRoyals():
listOfDicts=[
{'name': 'Elizabeth Alexandra Mary Windsor', 'born': Sample.dob('1926-04-21'), 'numberInLine': 0, 'wikidataurl': 'https://www.wikidata.org/wiki/Q9682' },
{'name': 'Charles, Prince of Wales', 'born': Sample.dob('1948-11-14'), 'numberInLine': 1, 'wikidataurl': 'https://www.wikidata.org/wiki/Q43274' },
{'name': 'George of Cambridge', 'born': Sample.dob('2013-07-22'), 'numberInLine': 3, 'wikidataurl': 'https://www.wikidata.org/wiki/Q1359041'},
{'name': 'Harry Duke of Sussex', 'born': Sample.dob('1984-09-15'), 'numberInLine': 6, 'wikidataurl': 'https://www.wikidata.org/wiki/Q152316'}
]
today=date.today()
for person in listOfDicts:
born=person['born']
age=(today - born).days / 365.2425
person['age']=age
person['ofAge']=age>=18
person['lastmodified']=datetime.now()
return listOfDicts
Weaviate
Weaviate start
scripts/weaviate