319 lines
13 KiB
Haskell
319 lines
13 KiB
Haskell
module Handler.Graph where
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import Import
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import Handler.Tables
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import Handler.Dashboard (indicatorToEntry, prettyIndicatorEntry, formatTarget, IndicatorEntry(..))
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import Handler.Shared (formatParameter, formatScore, getMainTest, compareFun)
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import Data.Maybe
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import Data.List ((!!))
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import Database.Persist.Sql
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import GEval.Core (MetricValue, getMetricOrdering)
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import qualified Data.Map as M
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import qualified Data.Text as T
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import Data.Aeson (KeyValue)
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import Data.SubmissionConditions (parseCondition, checkCondition, VariantEntry(..))
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-- graphs for parameters
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getChallengeGraphDataR :: Text -> Handler Value
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getChallengeGraphDataR challengeName = submissionsToJSON (\_ -> True) challengeName
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data ParamGraphItem = ParamGraphItem TableEntry Text Text MetricValue
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data ParamGraphSeries = ParamGraphSeries Text [(TableEntry, Text, MetricValue)]
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getChallengeParamGraphDataR :: Text -> (Key Test) -> Text -> Handler Value
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getChallengeParamGraphDataR challengeName testId paramName = do
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(Entity challengeId _) <- runDB $ getBy404 $ UniqueName challengeName
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test <- runDB $ get404 testId
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(entries, _) <- getChallengeSubmissionInfos (const True) challengeId
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let values = map (findParamValue paramName) entries
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let items = Data.Maybe.catMaybes $ map (toParamGraphItem testId paramName) $ zip entries values
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let series = map (\(label, rs) -> ParamGraphSeries label rs)
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$ organizeBy
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$ map (\(ParamGraphItem entry label x y) -> (label, (entry, x, y))) items
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return $ object [
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"xs" .= object (map (\(ParamGraphSeries seriesName _) -> (seriesName .= (xSeriesName seriesName))) series),
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"columns" .= ((map (toYColumn $ testPrecision test) series) ++ (map toXColumn series))
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]
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toYColumn :: Maybe Int -> ParamGraphSeries -> [Text]
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toYColumn mPrecision (ParamGraphSeries seriesName items) =
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seriesName : (map (\(_,_,v) -> formatScore mPrecision v) items)
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toXColumn :: ParamGraphSeries -> [Text]
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toXColumn (ParamGraphSeries seriesName items) =
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(xSeriesName seriesName) : (map (\(_,x,_) -> x) items)
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xSeriesName :: Text -> Text
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xSeriesName = (++ "_x")
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organizeBy :: (Eq a, Ord a) => [(a, b)] -> [(a, [b])]
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organizeBy pList = M.toList $ M.fromListWith (++) $ map (\(x, y) -> (x, [y])) pList
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toParamGraphItem :: TestId -> Text -> (TableEntry, Maybe Text) -> Maybe ParamGraphItem
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toParamGraphItem _ _ (_, Nothing) = Nothing
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toParamGraphItem tid paramName (entry, Just val) = (ParamGraphItem entry label val) <$> join y
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where label = unwords (tagsFormatted ++ paramsFormatted)
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tagsFormatted =
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map (tagName . entityVal . fst)
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$ tableEntryTagsInfo entry
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paramsFormatted =
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map formatParameter
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$ filter (\pe -> parameterName pe /= paramName)
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$ map entityVal $ tableEntryParams entry
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y = evaluationScore <$> lookup tid (tableEntryMapping entry)
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findParamValue :: Text -> TableEntry -> Maybe Text
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findParamValue paramName entry =
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(parameterValue . entityVal) <$> (find (\e -> parameterName (entityVal e) == paramName) $ tableEntryParams entry)
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submissionsToJSON :: ((Entity Submission) -> Bool) -> Text -> Handler Value
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submissionsToJSON condition challengeName = do
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(Entity challengeId _) <- runDB $ getBy404 $ UniqueName challengeName
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(entries, _) <- getLeaderboardEntriesByCriterion challengeId
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condition
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(\(TableEntry (Entity submissionId _) _ _ _ _ _) -> [submissionId])
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tests <- runDB $ selectList [TestChallenge ==. challengeId] []
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let mainTestId = entityKey $ getMainTest tests
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let naturalRange = getNaturalRange mainTestId entries
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let submissionIds = map leaderboardBestSubmissionId entries
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forks <- runDB $ selectList [ForkSource <-. submissionIds, ForkTarget <-. submissionIds] []
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return $ object [ "nodes" .= (Data.Maybe.catMaybes
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$ map (auxSubmissionToNode mainTestId naturalRange)
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$ entries),
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"edges" .= map forkToEdge forks ]
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getNaturalRange :: TestId -> [LeaderboardEntry] -> Double
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getNaturalRange testId entries = 2.0 * (interQuantile
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$ Data.Maybe.catMaybes
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$ map (\entry -> evaluationScore $ ((leaderboardEvaluationMap entry) M.! testId)) entries)
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auxSubmissionToNode :: TestId -> Double -> LeaderboardEntry -> Maybe Value
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auxSubmissionToNode testId naturalRange entry = case evaluationScore $ ((leaderboardEvaluationMap entry) M.! testId) of
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Just score -> Just $ object [
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"id" .= (nodeId $ leaderboardBestSubmissionId entry),
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"x" .= (stampToX $ submissionStamp $ leaderboardBestSubmission entry),
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"y" .= (- ((score / naturalRange) * 100.0)),
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"size" .= (2 :: Int),
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"label" .= descriptionToBeShown (leaderboardBestSubmission entry) (leaderboardBestVariant entry) (leaderboardParams entry) ]
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Nothing -> Nothing
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forkToEdge :: Entity Fork -> Value
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forkToEdge (Entity forkId fork) = object [
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"source" .= nodeId (forkSource fork),
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"target" .= nodeId (forkTarget fork),
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"id" .= edgeId forkId,
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"type" .= ["arrow" :: String]
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]
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nodeId :: Key Submission -> String
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nodeId = ("n" ++) . show . fromSqlKey
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edgeId :: Key Fork -> String
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edgeId = ("e" ++) . show . fromSqlKey
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stampToX :: UTCTime -> Integer
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stampToX = toModifiedJulianDay . utctDay
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-- Indicator graph
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-- Reduce a list to item which are larger than the largest item encountered so far.
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-- (Needed to plot a step graph.)
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monotonicBy :: (a -> b) -> (b -> b -> Ordering) -> [a] -> [a]
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monotonicBy _ _ [] = []
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monotonicBy extractor comparator (theFirst:theRest) = (theFirst : (monotonicBy' theFirst theRest))
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where monotonicBy' _ [] = []
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monotonicBy' theBest (h:t) = if extractor h `comparator` extractor theBest == GT
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then
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(h:(monotonicBy' h t))
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else
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monotonicBy' theBest t
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getIndicatorGraphDataR :: IndicatorId -> Handler Value
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getIndicatorGraphDataR indicatorId = do
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indicator <- runDB $ get404 indicatorId
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indicatorEntry <- indicatorToEntry (Entity indicatorId indicator)
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let label = prettyIndicatorEntry indicatorEntry
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let testId = indicatorTest indicator
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test <- runDB $ get404 testId
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let mPrecision = testPrecision test
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(entries, _) <- getChallengeSubmissionInfos (const True) (testChallenge test)
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theNow <- liftIO $ getCurrentTime -- needed to draw the "now" vertical line
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-- first we apply the "filter condition"
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let filteredEntries =
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filterEntries (indicatorFilterCondition indicator)
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$ sortBy (\a b -> (tableEntryStamp a) `compare` (tableEntryStamp b)) entries
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-- ... all the entires that passed the "filter condition" are split according
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-- to whether the main "target condition" is fulfilled or not,
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-- "other..." will mean items for which "target condition" is not fulfilled
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-- (but the "filter condition" was), they are also going to be used to draw
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-- an auxilliary graph
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let (targetEntries, otherEntries) =
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partitionEntries (indicatorTargetCondition indicator) filteredEntries
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let (scores, timePoints) = addNow theNow $ entriesToPoints (Entity testId test) targetEntries
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let (otherScores, otherTimePoints) = addNow theNow $ entriesToPoints (Entity testId test) otherEntries
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let otherLabel = label <> " (other filtered)"
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-- grid lines for targets would not be taken into account when determining y range,
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-- that's why we need to enforce y range manually if needed
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-- (x range are not modified this way)
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let targetValues = map (targetValue . entityVal) $ indicatorEntryTargets indicatorEntry
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let maxRange = getBound compare scores targetValues
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let minRange = getBound (flip compare) scores targetValues
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-- we return a JSON object required by the C3 library
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return $ object [
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"bindto" .= ("#indicator-chart-" ++ (show $ unSqlBackendKey $ unIndicatorKey indicatorId)),
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"data" .= object [
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"xs" .= object ([
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label .= ("xt" :: String)
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] ++ (listIf (not $ null otherScores) [otherLabel .= ("xo" :: String)])),
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"columns" .= ([
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("xt" : timePoints),
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(label : (map (formatScore mPrecision) scores))]
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++ (listIf (not $ null otherScores) [
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("xo" : otherTimePoints),
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(otherLabel : (map (formatScore mPrecision) otherScores))])),
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"types" .= object [
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label .= ("area-step" :: String),
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otherLabel .= ("step" :: String)
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]
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],
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"axis" .= object [
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"x" .= object [
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"type" .= ("timeseries" :: String),
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"tick" .= object [
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"format" .= ("%Y-%m-%d" :: String)
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]
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],
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"y" .= object ((getBoundAttr "max" maxRange) ++ (getBoundAttr "min" minRange))
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],
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"line" .= object [
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"step" .= object [
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"type" .= ("step-after" :: String)
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]
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],
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"grid" .= targetsToLines theNow indicatorEntry
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]
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formatTimestamp :: UTCTime -> Text
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formatTimestamp = T.pack . formatTime defaultTimeLocale "%Y-%m-%d"
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-- add fake entry for the current time
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addNow :: UTCTime -> ([Double], [Text]) -> ([Double], [Text])
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addNow _ ([], []) = ([], [])
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addNow theNow (scores, timepoints) = (scores ++ [last $ impureNonNull scores], timepoints ++ [formatTimestamp theNow])
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entriesToPoints :: Entity Test -> [TableEntry] -> ([Double], [Text])
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entriesToPoints (Entity testId test) entries = (scores, timePoints)
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where timePoints = map (formatTimestamp . tableEntryStamp) relevantEntries
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scores = map (\entry -> fromJust $ evaluationScore $ (tableEntryMapping entry) M.! testId) relevantEntries
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relevantEntries =
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monotonicBy (\entry -> fromJust $ evaluationScore $ (tableEntryMapping entry) M.! testId) comparator
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$ filter (\entry -> testId `M.member` (tableEntryMapping entry)
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&& isJust (evaluationScore ((tableEntryMapping entry) M.! testId))) entries
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comparator = compareFun $ getMetricOrdering $ testMetric test
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targetsToLines :: UTCTime -> IndicatorEntry -> Value
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targetsToLines theNow indicator = object [
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"y" .= object [
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"lines" .= map (\target -> object [
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"value" .= (targetValue $ entityVal target),
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"text" .= formatTarget target
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]) targets
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],
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"x" .= object [
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"lines" .= ((map (\target -> object [
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"value" .= (formatTimestamp $ targetDeadline $ entityVal target),
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"text" .= formatTarget target
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]) targets)
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++ [object [
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"value" .= formatTimestamp theNow,
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"text" .= ("now" :: String)
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]])
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]
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]
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where targets = indicatorEntryTargets indicator
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getBound :: (a -> a -> Ordering) -> [a] -> [a] -> Maybe a
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getBound _ [] _ = Nothing
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getBound _ _ [] = Nothing
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getBound comparator mainList extraList =
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let mainMax = maximumBy comparator (impureNonNull mainList)
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extraMax = maximumBy comparator (impureNonNull extraList)
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in case extraMax `comparator` mainMax of
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GT -> Just extraMax
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_ -> Nothing
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getBoundAttr :: KeyValue p => Text -> Maybe Double -> [p]
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getBoundAttr _ Nothing = []
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getBoundAttr label (Just s) = [
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label .= s
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]
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listIf :: Bool -> [a] -> [a]
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listIf True l = l
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listIf False _ = []
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filterEntries :: Maybe Text -> [TableEntry] -> [TableEntry]
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filterEntries Nothing = id
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filterEntries (Just condition) = filter (\entry -> checkCondition conditionParsed (toVariantEntry entry))
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where conditionParsed = parseCondition condition
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toVariantEntry :: TableEntry -> VariantEntry
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toVariantEntry entry = VariantEntry {
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variantEntryTags = map (entityVal . fst) $ tableEntryTagsInfo entry,
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variantEntryParams = map entityVal $ tableEntryParams entry
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}
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partitionEntries :: Maybe Text -> [TableEntry] -> ([TableEntry], [TableEntry])
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partitionEntries Nothing entries = (entries, [])
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partitionEntries (Just condition) entries = partition (\entry -> checkCondition conditionParsed (toVariantEntry entry)) entries
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where conditionParsed = parseCondition condition
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toVariantEntry :: TableEntry -> VariantEntry
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toVariantEntry entry = VariantEntry {
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variantEntryTags = map (entityVal . fst) $ tableEntryTagsInfo entry,
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variantEntryParams = map entityVal $ tableEntryParams entry
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}
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-- auxiliary functions taken from Math.Statistics
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interQuantile :: (Fractional b, Ord b) => [b] -> b
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interQuantile [] = 10.0
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interQuantile xs = (q' - q)
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where q = quantile 0.25 xs
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q' = quantile 0.75 xs
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quantile :: (Fractional b, Ord b) => Double -> [b] -> b
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quantile q = quantileAsc q . sort
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quantileAsc :: (Fractional b, Ord b) => Double -> [b] -> b
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quantileAsc _ [] = error "x"
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quantileAsc q xs
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| q < 0 || q > 1 = error "quantile out of range"
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| otherwise = xs !! (quantIndex (length xs) q)
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where quantIndex :: Int -> Double -> Int
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quantIndex len q' = case round $ q' * (fromIntegral len - 1) of
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idx | idx < 0 -> error "Quantile index too small"
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| idx >= len -> error "Quantile index too large"
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| otherwise -> idx
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