use {
crate::{
config::{
context::Context,
extractor::{bol, fltorint, opt, recover, str, val, Extractor, ExtractorError},
parser::{DataType, ParseResult, Parser, UnexpectedDataType},
parsers::{
input_match::{InputMatchParser, InputMatchParserError},
keymap::KeymapParser,
},
Input,
},
toml::{
toml_span::{DespanExt, Span, Spanned, SpannedExt},
toml_value::Value,
},
},
indexmap::IndexMap,
jay_config::input::acceleration::{ACCEL_PROFILE_ADAPTIVE, ACCEL_PROFILE_FLAT},
thiserror::Error,
};
#[derive(Debug, Error)]
pub enum InputParserError {
#[error(transparent)]
Expected(#[from] UnexpectedDataType),
#[error(transparent)]
Extract(#[from] ExtractorError),
#[error(transparent)]
Match(#[from] InputMatchParserError),
#[error("Transform matrix must have exactly two rows")]
TwoRows,
#[error("Transform matrix must have exactly two columns")]
TwoColumns,
#[error("Transform matrix entries must be floats")]
Float,
}
pub struct InputParser<'a> {
pub cx: &'a Context<'a>,
pub tag_ok: bool,
}
impl<'a> Parser for InputParser<'a> {
type Value = Input;
type Error = InputParserError;
const EXPECTED: &'static [DataType] = &[DataType::Table];
fn parse_table(
&mut self,
span: Span,
table: &IndexMap<Spanned<String>, Spanned<Value>>,
) -> ParseResult<Self> {
let mut ext = Extractor::new(self.cx, span, table);
let (
(
tag,
match_val,
accel_profile,
accel_speed,
tap_enabled,
tap_drag_enabled,
tap_drag_lock_enabled,
left_handed,
natural_scrolling,
px_per_wheel_scroll,
),
(transform_matrix, keymap),
) = ext.extract((
(
opt(str("tag")),
val("match"),
recover(opt(str("accel-profile"))),
recover(opt(fltorint("accel-speed"))),
recover(opt(bol("tap-enabled"))),
recover(opt(bol("tap-drag-enabled"))),
recover(opt(bol("tap-drag-lock-enabled"))),
recover(opt(bol("left-handed"))),
recover(opt(bol("natural-scrolling"))),
recover(opt(fltorint("px-per-wheel-scroll"))),
),
(recover(opt(val("transform-matrix"))), opt(val("keymap"))),
))?;
let accel_profile = match accel_profile {
None => None,
Some(p) => match p.value.to_ascii_lowercase().as_str() {
"flat" => Some(ACCEL_PROFILE_FLAT),
"adaptive" => Some(ACCEL_PROFILE_ADAPTIVE),
v => {
log::warn!("Unknown accel-profile {v}: {}", self.cx.error3(p.span));
None
}
},
};
let transform_matrix = match transform_matrix {
None => None,
Some(matrix) => match matrix.parse(&mut TransformMatrixParser) {
Ok(v) => Some(v),
Err(e) => {
log::warn!("Could not parse transform matrix: {}", self.cx.error(e));
None
}
},
};
if let Some(tag) = tag {
if self.tag_ok {
self.cx.used.borrow_mut().defined_inputs.insert(tag.into());
} else {
log::warn!(
"Input tags have no effect in this position (did you mean match.tag?): {}",
self.cx.error3(tag.span)
);
}
}
let keymap = match keymap {
None => None,
Some(map) => match map.parse(&mut KeymapParser {
cx: self.cx,
definition: false,
}) {
Ok(v) => Some(v),
Err(e) => {
log::warn!("Could not parse keymap: {}", self.cx.error(e));
None
}
},
};
Ok(Input {
tag: tag.despan_into(),
match_: match_val.parse_map(&mut InputMatchParser(self.cx))?,
accel_profile,
accel_speed: accel_speed.despan(),
tap_enabled: tap_enabled.despan(),
tap_drag_enabled: tap_drag_enabled.despan(),
tap_drag_lock_enabled: tap_drag_lock_enabled.despan(),
left_handed: left_handed.despan(),
natural_scrolling: natural_scrolling.despan(),
px_per_wheel_scroll: px_per_wheel_scroll.despan(),
transform_matrix,
keymap,
})
}
}
pub struct InputsParser<'a>(pub &'a Context<'a>);
impl<'a> Parser for InputsParser<'a> {
type Value = Vec<Input>;
type Error = InputParserError;
const EXPECTED: &'static [DataType] = &[DataType::Table, DataType::Array];
fn parse_array(&mut self, _span: Span, array: &[Spanned<Value>]) -> ParseResult<Self> {
let mut res = vec![];
for el in array {
match el.parse(&mut InputParser {
cx: self.0,
tag_ok: true,
}) {
Ok(o) => res.push(o),
Err(e) => {
log::warn!("Could not parse output: {}", self.0.error(e));
}
}
}
Ok(res)
}
fn parse_table(
&mut self,
span: Span,
table: &IndexMap<Spanned<String>, Spanned<Value>>,
) -> ParseResult<Self> {
log::warn!(
"`outputs` value should be an array: {}",
self.0.error3(span)
);
InputParser {
cx: self.0,
tag_ok: true,
}
.parse_table(span, table)
.map(|v| vec![v])
}
}
struct TransformMatrixParser;
impl Parser for TransformMatrixParser {
type Value = [[f64; 2]; 2];
type Error = InputParserError;
const EXPECTED: &'static [DataType] = &[DataType::Array];
fn parse_array(&mut self, span: Span, array: &[Spanned<Value>]) -> ParseResult<Self> {
if array.len() != 2 {
return Err(InputParserError::TwoRows.spanned(span));
}
Ok([
array[0].parse(&mut TransformMatrixRowParser)?,
array[1].parse(&mut TransformMatrixRowParser)?,
])
}
}
struct TransformMatrixRowParser;
impl Parser for TransformMatrixRowParser {
type Value = [f64; 2];
type Error = InputParserError;
const EXPECTED: &'static [DataType] = &[DataType::Array];
fn parse_array(&mut self, span: Span, array: &[Spanned<Value>]) -> ParseResult<Self> {
if array.len() != 2 {
return Err(InputParserError::TwoColumns.spanned(span));
}
let extract = |v: &Spanned<Value>| match v.value {
Value::Float(f) => Ok(f),
Value::Integer(f) => Ok(f as _),
_ => Err(InputParserError::Float.spanned(v.span)),
};
Ok([extract(&array[0])?, extract(&array[1])?])
}
}