mmzk-env
mmzk-env is a library for reading environment variables into a user-defined data
type. It provides a type-safe way to parse and validate environment variables,
ensuring that they conform to the expected types.
Contents
Quick Start
Full example →
{-# LANGUAGE DeriveAnyClass #-}
{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE TypeApplications #-}
import Data.Env
import GHC.Generics
-- | Example: Define an environment schema
data Config = Config
{ port :: Int
, name :: String
, mainHost :: String
, debug :: Maybe Bool }
deriving (Show, Generic, EnvSchema)
-- | Run the validation
main :: IO ()
main = do
errOrEnv <- validateEnv @Config
case errOrEnv of
Left err -> putStrLn $ "Validation failed:\n" ++ renderParseError err
Right cfg -> putStrLn $ "Config loaded successfully: " ++ show cfg
With this setup, it requires the environment variables PORT, NAME, MAIN_HOST, and DEBUG to be set according to the types defined in the Config data type. The library will automatically parse these variables and validate them against the schema.
If any variable is missing or has an incorrect type, the validation will fail, and an error message will be printed.
Custom Environment Variable Mapping
Full example →
By default, the library converts camelCase field names to UPPER_SNAKE_CASE (e.g., mainHost → MAIN_HOST).
If you want to use uppercase environment variable names without underscores (like MAINHOST instead of MAIN_HOST), you can use validateEnvWith (or validateEnvWWith for witness types) with a custom mapping function:
data Config = Config
{ port :: Int
, name :: String
, main_host :: String -- Will map to "MAINHOST" with custom mapping
, debug :: Maybe Bool }
deriving (Show, Generic, EnvSchema)
main :: IO ()
main = do
errOrEnv <- validateEnvWith @Config (map toUpper)
case errOrEnv of
Left err -> putStrLn $ "Validation failed:\n" ++ renderParseError err
Right cfg -> putStrLn $ "Config loaded successfully: " ++ show cfg
With validateEnvWith (map toUpper), the field main_host will look for the environment variable MAINHOST instead of MAIN_HOST.
You can provide any custom mapping function to validateEnvWith to transform field names to environment variable names according to your needs.
Error Handling
validateEnv (and its variants) returns Either ParseError a. Unlike a simple Either String approach, ParseError collects all field failures in a single pass — so every invalid field is reported at once, not just the first one.
Use renderParseError to format the error for display:
case errOrEnv of
Left err -> putStrLn $ "Validation failed:\n" ++ renderParseError err
Right cfg -> ...
A single-field failure shows the field name, then the detail indented below:
port: invalid field
(line 1, column 1):
unexpected "n"
expected an integer
>not-a-number
^
A missing required field gives a clear message instead of a parser error:
name: invalid field
missing required environment variable
Multiple failures are numbered in field-declaration order:
2 fields failed to parse:
1. port: invalid field
(line 1, column 1):
unexpected "n"
expected an integer
>not-a-number
^
2. name: invalid field
missing required environment variable
ParseError and FieldError are both exported from Data.Env, so you can also inspect them programmatically:
import Data.Env (ParseError(..), FieldError(..))
case errOrEnv of
Right cfg -> ...
Left (ParseError errs) ->
mapM_ (\fe -> putStrLn $ fe.errField ++ " is invalid") errs
Enum Support
Full example →
The library also supports automatic parsing of enumerated types. You can define an enum and derive the TypeParser instance using the helper type EnumParser.
The extension DerivingVia is required for this feature.
{-# LANGUAGE DerivingVia #-}
{-# LANGUAGE TypeApplications #-}
data Gender = Male | Female
deriving (Show, Eq, Enum, Bounded)
deriving TypeParser via (EnumParser Gender)
parseType @Gender "Male" -- Right Male
parseType @Gender "Female" -- Right Female
parseType @Gender "male" -- Left "invalid value \"male\"; expected one of: Male, Female"
Enum parsing is case-sensitive and the error message lists all valid constructors.
Schema Types: Value-Level Parsing with Defaults
The library provides a schema pattern that keeps your final data type clean (no newtype wrappers, no unpacking) while allowing defaults, validation, and custom parsing to be specified as plain Haskell values.
The Problem: Newtype Boilerplate
Full example →
Suppose you want a PostgreSQL port that defaults to 5432. Without the schema pattern you might write a newtype:
newtype PsqlPort = PsqlPort Word16 deriving (Show, Eq)
instance TypeParser PsqlPort where
parseMissing = Right (PsqlPort 5432)
parseType str = PsqlPort <$> parseType str
data Config = Config { psqlPort :: PsqlPort, dbName :: String }
deriving (Show, Generic, EnvSchema)
Now every use site must unwrap PsqlPort:
connectToDatabase cfg = connect defaultConnectInfo
{ connectPort = unpackPort (psqlPort cfg) -- annoying unpacking
, connectDatabase = dbName cfg }
The Solution: Schema Records
Full example →
Define the config with the Col column family. Each field in 'Dec holds a parser function; each field in 'Res holds the resolved value:
{-# LANGUAGE DataKinds #-}
{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE FlexibleInstances #-}
{-# LANGUAGE StandaloneDeriving #-}
{-# LANGUAGE TypeApplications #-}
{-# LANGUAGE TypeFamilies #-}
import Data.Env
import Data.Env.RecordParserW
import Data.Word
import GHC.Generics
data Config c = Config
{ psqlPort :: Col c Word16
, dbName :: Col c String }
deriving (Generic)
instance EnvSchemaW (Config 'Dec)
deriving stock instance Show (Config 'Res)
-- Schema value: psqlPort defaults to 5432, dbName is required.
defaultConfig :: Config 'Dec
defaultConfig = Config
{ psqlPort = typeParser @Word16 `orElse` 5432
, dbName = typeParser @String }
main :: IO ()
main = do
errOrConfig <- validateEnvW defaultConfig
case errOrConfig of
Left err -> putStrLn $ "Validation failed:\n" ++ renderParseError err
Right cfg -> connectToDatabase cfg -- cfg :: Config 'Res
The two column kinds:
Config 'Dec — a real runtime value. Each field is a String -> Either String a parser function. Pass it to validateEnvW; swap individual fields for different defaults or custom logic.
Config 'Res — the result after parsing. Each field is just the plain value.
Col c a — expands to String -> Either String a when c = 'Dec, or a when c = 'Res.
No wrappers in the result:
connectToDatabase :: Config 'Res -> IO Connection
connectToDatabase cfg = connect defaultConnectInfo
{ connectPort = cfg.psqlPort -- direct Word16, no unwrapping
, connectDatabase = cfg.dbName }
Runtime overrides
Because the schema is a value, you can override any field before parsing:
-- Different default for a different environment:
stagingConfig :: Config 'Dec
stagingConfig = defaultConfig { psqlPort = typeParser @Word16 `orElse` 5433 }
-- Custom validation:
strictDbConfig :: Config 'Dec
strictDbConfig = defaultConfig
{ dbName = \s -> do
name <- typeParser @String s
if length name > 32 then Left "DB name too long" else Right name }
Auto-derived schemas
If every field type has a TypeParser instance, defaultSchema derives the whole 'Dec value automatically (all fields required, no defaults):
autoConfig :: Config 'Dec
autoConfig = defaultSchema @Config
-- Or validate directly:
result <- validateEnvWDefault @Config
Helpers
typeParser @T — standard parser for T from its TypeParser instance. Required by default (absent variable → error); Maybe T fields return Right Nothing when absent.
- **
f \orElse` d** — wrap parser fso an absent or empty variable returnsRight d`.
fromTypeParserW @W — build a field parser from a TypeParserW witness W (see below).
Witness bridge
Existing witnesses implement TypeParserW and remain usable via fromTypeParserW:
DefaultNum n a — numeric type with type-level default n.
DefaultString s a — string type with type-level default s.
DefaultBool b Bool — lenient bool parser (accepts true/1/t) with type-level default b.
- Custom witnesses — implement
TypeParserW and pass to fromTypeParserW.
-- Equivalent ways to default psqlPort to 5432:
psqlPort = typeParser @Word16 `orElse` 5432
psqlPort = fromTypeParserW @(DefaultNum 5432 Word16)