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class BatchCreatorService < Struct.new(:model, :to_insert_attrs) | |
include Service | |
def call | |
raw_connection = get_raw_connection | |
keys = to_insert_attrs.first.keys | |
@types_hash = Hash[Event.column_types.map{|x,y| [x,y.type.to_s] }] | |
raw_connection.exec("COPY #{model.table_name} (#{keys.join(',')}) FROM STDIN WITH CSV DELIMITER ';'") | |
to_insert_attrs.each do |attrs| |
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FROM centos:latest | |
MAINTAINER Mikl Taraskin <example@gmail.com> | |
ADD nginx-build-rpm /tmp/nginx-build-rpm | |
WORKDIR /tmp/nginx-build-rpm | |
RUN rpm -Uvh nginx-build.rpm | |
RUN yum install -y redis | |
RUN mkdir -p /etc/nginx/include.d/rewrites/ | |
ADD example.rb /etc/nginx/include.d/rewrites/example.rb | |
ADD nginx.conf /etc/nginx/nginx.conf |
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# Inspired by: https://stackoverflow.com/questions/1746501/can-someone-give-an-example-of-cosine-similarity-in-a-very-simple-graphical-wa | |
# And: https://github.com/agarie/measurable/blob/8ff8efbab1a0892bdddf6e865dd8864956168a91/lib/measurable/cosine.rb | |
# https://github.com/agarie/measurable/blob/8ff8efbab1a0892bdddf6e865dd8864956168a91/lib/measurable/euclidean.rb | |
# Accept two text adn calcualtes cosine similarity by words of these texts, returns Float, between 0.0(not similat at all) and 1.0(identical) | |
def cosine_similarity(one, two) | |
indexes = [ one, two ].map { |text| text.scan(/[a-zA-Z]{1,}/) }.flatten.uniq | |
counters = [ one, two ].map do |text| | |
counter = text.scan(/[a-zA-Z]{1,}/).reduce(Hash.new(0)) { |x,y| x.tap {|n| n[y] += 1 } } | |
indexes.map { |key| counter[key] } |
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