Eve Freeman freeeve

I have been trying to fix my dad's washing machine for more than a week--it originally got stuck last Thursday with an error message that came on the screen and the door locked (it's a front loading washing machine).

I read up about the error, which is E01 -> F09, which means generally something like "problem in the draining process"-- could be a clog or a busted pump, or apparently even too much soap can cause it.

I managed to break the handle of this drain plug cap because I was using the metal part of the pliers to turn it, like I saw in some youtube video, and it cracked and started leaking, so I ordered a new piece for that, which came wednesday. Oops!

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Here’s an updated gist.

Here are some changes.

	#!/bin/python3

	import requests

	latest_json = requests.get('https://launchermeta.mojang.com/mc/game/version_manifest.json').json().get('versions')[0].get('url')
	latest_server_url = requests.get(latest_json).json().get('downloads').get('server').get('url')
	print(latest_server_url)

	// merge movies
	LOAD CSV WITH HEADERS FROM 'http://data.neo4j.com.s3.amazonaws.com/advanced/movies/new_movies.csv' AS row
	with toFloat(row.avgVote) as avgVote, toInteger(row.releaseYear) as releaseYear, split(row.genres, ":") as genres, toInteger(row.movieId) as id,
	row.title as title
	merge (m:Movie {id:id})
	set m.title = title,m.avgVote = avgVote,m.releaseYear=releaseYear,m.genres = genres
	return count(1)

	// merge people
	LOAD CSV WITH HEADERS FROM 'http://data.neo4j.com.s3.amazonaws.com/advanced/movies/people.csv' as row

	id,name
	1,"Eve"
	2,"Thomas"
	3,"Ryan"

	// get an idea of schema for node properties
	match (n)
	with n, keys(n) as ks
	limit 100000
	unwind ks as k
	with n, k
	order by k
	return distinct labels(n), collect(distinct k)

	// query to get actors/directors

	create constraint ON ( movie:Movie ) ASSERT movie.id IS UNIQUE;
	create constraint ON ( person:Person ) ASSERT person.id IS UNIQUE;

	create index ON :Movie(title);
	create index ON :Person(name);

	// migrate genres to nodes
	match (m:Movie)
	unwind m.genres as genre
	merge (g:Genre {name:genre})

	create index on :Movie(movieId);

	create index on :Person(personId);

	load csv with headers from 'file:///people.csv' as record
	merge (p:Person {personId:record.personId})
	set p = record;

	load csv with headers from 'file:///movies.csv' as record
	merge (m:Movie {movieId:record.movieId})

	match (n)
	with n, keys(n) as keys
	limit 100000
	unwind keys as key
	with n, key
	order by id(n), key
	with n, collect(key) as keys
	return distinct labels(n), keys, count(1)