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{-# LANGUAGE OverloadedStrings #-}
module Y2017.M10.D20.Exercise where
{--
So, yesterday we output our Regroup as a CSV and then showed it as a stacked
chart. The thing is, I wasn't particularly happy with the representation.
Well, in modeling the Regroup off the Archive-type, it got me thinking of
graph theory again, and so: why not graphs?
Why not, indeed!
So, today's Haskell problem is to regroup our data then pick a week (just to
get a slice) to represent the view in the graph.
HOW DO WE DO THIS?
Well, like Shirlock Holmes, it's elementary! Follow the imports, my dear
Dr. Watson!
--}
import Data.Map (Map)
import Data.Time
-- below imports via 1HaskellADay git repository
import Data.Archive
import Data.Relation
import Graph.Query
-- so, from:
import Y2017.M10.D04.Exercise
-- we get our grouping. Turn that grouping into archived articles by topic
-- (by day, of course)
type Articles = Archive (Map Topic ArticleSummary)
articlesByTopic :: Grouping -> Articles
articlesByTopic grp = undefined
-- Cool beans! Now that you have that archive, you see that we can build
-- relations between days of the archive and put that into a graph database.
-- But we don't have that facility for the topicality of articles. So:
artsRels :: Map Topic ArticleSummary -> [Relation a b c]
artsRels topics = undefined
-- that means you have to declare types a, b, and c. See Data.Relation for help
-- Also, we have to define the relations from days to the topics containing
-- the articles:
topicRels :: Day -> Map Topic a -> [Relation Date b c]
topicRels day topics = undefined
-- see what a Date is in Data.Archive
-- With all that, define the relations of the entire archive:
archRels :: Articles -> [Relation a b c]
archRels arts = undefined
-- Again, you have to declare types a, b, and c
-- Hint: You MAY want types a,b,c to be the same throughout. How do you make
-- that work?
{-- BONUS -----------------------------------------------------------------
Upload a slice of these relations to a graph database. View your graph.
How many relations did you upload? What was the topic with the most articles
in one of the days in your graph?
--}
uploadArticles2Graph :: Endpoint -> Articles -> IO ()
uploadArticles2Graph url arts = undefined