dataframe-csv-2.3.1.1: src/DataFrame/IO/CSV/Internal/Options.hs
{-# LANGUAGE OverloadedStrings #-}
-- | Configuration types for the CSV readers.
module DataFrame.IO.CSV.Internal.Options (
HeaderSpec (..),
TypeSpec (..),
RaggedRowPolicy (..),
UnclosedQuotePolicy (..),
ReadOptions (..),
defaultReadOptions,
shouldInferFromSample,
schemaTypeMap,
typeInferenceSampleSize,
resolveSelection,
InvalidReadOptions (..),
readOptionsErrors,
validateReadOptions,
) where
import qualified Data.List as L
import qualified Data.Map.Strict as M
import qualified Data.Text as T
import Control.Exception (Exception, throw, throwIO)
import Control.Monad (unless)
import DataFrame.Errors (DataFrameException (ColumnsNotFoundException))
import DataFrame.Operations.Typing (SafeReadMode (..))
import DataFrame.Schema (SchemaType)
-- | Where a reader's column names come from.
data HeaderSpec
= NoHeader
| -- | Take names from the first row (the default).
UseFirstRow
| -- | Name the leading columns; any beyond the given list are numbered.
ProvideNames [T.Text]
deriving (Eq, Show)
-- | How a reader decides each column's type.
data TypeSpec
= -- | Infer each column's type from the first @n@ rows.
InferFromSample Int
| -- | Pin the listed columns to their given types, with a fallback.
SpecifyTypes [(T.Text, SchemaType)] TypeSpec
| -- | Every column is read as 'Data.Text.Text', no inference at all.
NoInference
-- | How the fast reader treats a row with the wrong field count.
data RaggedRowPolicy
= -- | Fill missing cells with nulls and silently drop extras.
PadWithNull
| -- | Alias of 'PadWithNull' for callers who only care about extras.
Truncate
| -- | Raise a 'CsvParseError' on any row whose field count differs.
RaiseOnRagged
deriving (Eq, Show)
-- | How the fast reader should treat an unclosed quoted field at EOF.
data UnclosedQuotePolicy
= -- | Raise a 'DataFrame.IO.CSV.Fast.CsvParseError'. Default.
RaiseOnUnclosedQuote
| -- | Return the rows parsed before the stray quote; drop the rest.
BestEffort
deriving (Eq, Show)
-- | CSV read parameters.
data ReadOptions = ReadOptions
{ headerSpec :: HeaderSpec
-- ^ Where to get the headers from. (default: UseFirstRow)
, typeSpec :: TypeSpec
-- ^ Whether/how to infer types. (default: InferFromSample 100)
, safeRead :: SafeReadMode
-- ^ Default 'SafeReadMode' for columns without an override.
, safeReadOverrides :: [(T.Text, SafeReadMode)]
-- ^ Per-column 'SafeReadMode' overrides; takes precedence over 'safeRead'.
, dateFormat :: String
-- ^ Format of date fields, as recognized by Data.Time.Format.
, columnSeparator :: Char
-- ^ Character that separates column values.
, numRowsToRead :: Maybe Int
-- ^ Maximum number of data rows to read ('Nothing' = all).
, readColumns :: Maybe [T.Text]
-- ^ Columns to read ('Nothing' = all); unselected ones are never decoded.
, missingIndicators :: [T.Text]
-- ^ Values that should be read as `Nothing`.
, fastCsvOnRaggedRow :: RaggedRowPolicy
-- ^ @dataframe-fastcsv@: how to treat rows with a non-header field count.
, fastCsvOnUnclosedQuote :: UnclosedQuotePolicy
-- ^ @dataframe-fastcsv@: how to treat an unclosed quoted field at EOF.
, fastCsvTrimUnquoted :: Bool
-- ^ @dataframe-fastcsv@: strip whitespace from unquoted fields if True.
}
-- | Whether a 'TypeSpec' still infers types from a sample.
shouldInferFromSample :: TypeSpec -> Bool
shouldInferFromSample (InferFromSample _) = True
shouldInferFromSample (SpecifyTypes _ fallback) = shouldInferFromSample fallback
shouldInferFromSample _ = False
-- | The explicit column/type pairs a 'TypeSpec' declares, if any.
schemaTypeMap :: TypeSpec -> M.Map T.Text SchemaType
schemaTypeMap (SpecifyTypes xs _) = M.fromList xs
schemaTypeMap _ = M.empty
-- | A 'ReadOptions' value that contradicts itself, listing every problem.
newtype InvalidReadOptions = InvalidReadOptions [T.Text]
instance Show InvalidReadOptions where
show (InvalidReadOptions problems) =
T.unpack
(T.intercalate "\n" ("Invalid ReadOptions:" : map (" - " <>) problems))
instance Exception InvalidReadOptions
-- | Everything self-contradictory about @opts@, judged without a file.
readOptionsErrors :: ReadOptions -> [T.Text]
readOptionsErrors opts =
concat
[ [ "readColumns is an empty selection; omit it to read every column"
| Just [] <- [readColumns opts]
]
, [ "readColumns names "
<> T.intercalate ", " dups
<> " more than once"
| not (null dups)
]
, [ "numRowsToRead is negative: " <> T.pack (show n)
| Just n <- [numRowsToRead opts]
, n < 0
]
, [ "headerSpec is ProvideNames with no names"
| ProvideNames [] <- [headerSpec opts]
]
, [ "columnSeparator is " <> T.pack (show sep) <> ", which cannot delimit fields"
| let sep = columnSeparator opts
, sep `elem` ['"', '\n', '\r']
]
]
where
dups = maybe [] (\cs -> L.nub (cs L.\\ L.nub cs)) (readColumns opts)
-- | Throw 'InvalidReadOptions' if @opts@ contradicts itself.
validateReadOptions :: ReadOptions -> IO ()
validateReadOptions opts =
unless (null problems) (throwIO (InvalidReadOptions problems))
where
problems = readOptionsErrors opts
-- | Resolve 'readColumns' against header names to (name, field index) pairs.
resolveSelection :: ReadOptions -> [T.Text] -> [(T.Text, Int)]
resolveSelection opts names = case readColumns opts of
Nothing -> indexed
Just requested -> case filter (`M.notMember` fieldIndex) requested of
[] -> [(n, fieldIndex M.! n) | n <- requested]
missing -> throw (ColumnsNotFoundException missing "readCsvWithOpts" names)
where
indexed = zip names [0 ..]
fieldIndex = M.fromList indexed
-- | The sample size a 'TypeSpec' infers from; 0 if it never infers.
typeInferenceSampleSize :: TypeSpec -> Int
typeInferenceSampleSize (InferFromSample n) = n
typeInferenceSampleSize (SpecifyTypes _ fallback) = typeInferenceSampleSize fallback
typeInferenceSampleSize _ = 0
-- | The default 'ReadOptions': infer from 100 rows, header row, all data.
defaultReadOptions :: ReadOptions
defaultReadOptions =
ReadOptions
{ headerSpec = UseFirstRow
, typeSpec = InferFromSample 100
, safeRead = NoSafeRead
, safeReadOverrides = []
, dateFormat = "%Y-%m-%d"
, columnSeparator = ','
, numRowsToRead = Nothing
, readColumns = Nothing
, missingIndicators =
["Nothing", "NULL", "", " ", "nan", "null", "N/A", "NaN", "NAN", "NA"]
, fastCsvOnRaggedRow = PadWithNull
, fastCsvOnUnclosedQuote = RaiseOnUnclosedQuote
, fastCsvTrimUnquoted = False
}