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cloudburst_graph_etl.py
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cloudburst_graph_etl.py
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import json
from neohelper import nh
from slugify import slugify
def create_beers(tx, file: str):
""" Load from the results of cloudburst site scraper """
with open(file, 'r') as f:
beer_hops = json.load(f)
beers = beer_hops['beers']
# Slugify beer descriptions to better
# string match with hop names, otherwise
# we won't match hop names followed by
# punctuation.
for beer in beers:
beer['slug_description'] = \
slugify(beer['description'], separator=' ').title()
query = """
UNWIND $beers as beer
MERGE (b:Beer {name : beer.beer_name,
abv : beer.abv,
style : beer.beer_style,
description : beer.description
})
SET b.tmp_slug = beer.slug_description
RETURN count(b) as c
"""
records = tx.run(query, beers=beers)
print(
'Merged {} Beer nodes'
.format(records.single()['c']))
def remove_beers_tmp_slug(tx):
query = """
MATCH (b:Beer)
REMOVE b.tmp_slug
"""
tx.run(query)
def create_hops(tx):
""" Hops are loaded into the DB from multiple sources
First is a hand-curated hop list to get better coverage
of the cloudburst beer descriptions. Contains names only.
We also load from Yakima Chief, which makes nodes with
additional data on aroma profiles and a useful description
of the hop.
"""
with open('data/hopnames.txt') as f:
hoplist = f.read().splitlines()
hoplist = [h.title() for h in hoplist if len(h) > 0]
with open('data/yakimachiefhopdata.json', 'r') as f:
ych = json.load(f)
# This query is fast but definitely not idempotent
query_params = []
for i, hop in enumerate(ych['hops']):
query_params.append([i, hop])
query = """
UNWIND $query_params as params
MERGE (h:Hop { idx : params[0]})
SET h += params[1]
SET h.data_source = 'Yakima Chief'
SET h.data_file = 'yakimachiefhopdata.json'
"""
tx.run(query, query_params=query_params)
query = """
with $hoplist as hoplist
UNWIND hoplist as name
OPTIONAL MATCH (h:Hop {name:name})
with h,name where h is NULL
MERGE (new:Hop {name : name})
SET new.data_source = 'Curated List'
SET new.data_file = 'hopnames.txt'
"""
tx.run(query, hoplist=hoplist)
query = """
match (n:Hop)
return count(n) as c
"""
records = tx.run(query)
print("Merged {} Hop nodes".format(records.single()['c']))
def create_beer_contains_hop_edges(tx):
query = """
match (b:Beer)
match (h:Hop)
where b.tmp_slug contains h.name
merge (b)-[e:CONTAINS]-(h)
return count(e) as c
"""
records = tx.run(query)
print(
'Merged {} (:Beer)-[:CONTAINS]-(:Hop) relationships'
.format(records.single()['c']))
def create_styles(tx):
query = """
match (b:Beer)
with distinct b.style as styles
MERGE (s:Style {style : styles})
with s
match (b:Beer) where b.style = s.style
MERGE (b)-[e:STYLE]->(s)
return count(e) as c
"""
records = tx.run(query)
print(
"Merged {} (:Beer)-[:STYLE]-(:Style) relationships"
.format(records.single()['c']))
def create_hop_aromas(tx):
query = """
match (h:Hop)
UNWIND h.aroma_profile as aromas
with distinct aromas as aroma
MERGE (a:Aroma {aroma : aroma})
with a
match (h:Hop) where a.aroma in h.aroma_profile
MERGE (h)-[e:HAS_AROMA]-(a)
return count(e) as c
"""
records = tx.run(query)
print(
"Merged {} (:Hop)-[:HAS_AROMA]-(:Aroma) relationships"
.format(records.single()['c']))
def style_abv_stats(tx):
query = """
match (s:Style)-[:STYLE]-(b:Beer)
with s, avg(b.abv) as abv_mean, stDevP(b.abv) as abv_std
set s.abv_mean = abv_mean
set s.abv_std = abv_std
"""
tx.run(query)
print("Computed style mean/std abv.")
query = """
match (b:Beer)-[:STYLE]-(s:Style)
set b.style_abv_z_score = (b.abv - s.abv_mean) / s.abv_std
"""
tx.run(query)
print("Computed beer style_abv_z_score")
if __name__ == '__main__':
# Instantiate driver using evironmental variables
nh.init_neo4j_driver("NEO4J_USER", "NEO4J_PW", "NEO4J_URI")
driver = nh.get_driver()
with driver.session() as session:
swt = session.write_transaction
swt(create_beers, 'data/beers.json')
swt(create_hops)
swt(create_beer_contains_hop_edges)
swt(create_hop_aromas)
swt(create_styles)
swt(style_abv_stats)
swt(remove_beers_tmp_slug)
driver.close()