for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
import itertools
import string
import urllib.request
from collections.abc import Iterable
import graphinate
def word_model(title: str, words: Iterable[str]) -> graphinate.GraphModel:
graph_model = graphinate.model(name=title)
@graph_model.edge()
def edge():
for w1, w2 in itertools.pairwise(words):
yield {'source': w1, 'target': w2}
return graph_model
def words(url: str):
data = urllib.request.urlopen(url)
for line in data: # files are iterable
for w in line.decode().strip().split():
word = w.strip().lower().translate(str.maketrans('', '', string.punctuation))
yield word
if __name__ == '__main__':
great_expectations = 'https://www.gutenberg.org/cache/epub/1400/pg1400.txt'
moby_dick = 'https://www.gutenberg.org/cache/epub/2701/pg2701.txt'
alice_in_wonderland = 'https://www.gutenberg.org/cache/epub/11/pg11.txt'
model = word_model('alice_in_wonderland', itertools.islice(words(alice_in_wonderland), 5000))
builder = graphinate.builders.GraphQLBuilder(model)
# to create a Strawberry GraphQL schema
schema = builder.build()
# and serve it using Uvicorn web server
graphinate.graphql.server(schema)
erivlis /
graphinate
