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Merge pull request #2100 from prisma/parser-db/native-types
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96 changes: 96 additions & 0 deletions
96
libs/datamodel/core/src/transform/ast_to_dml/db/attributes/native_types.rs
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,96 @@ | ||
| use crate::{ | ||
| ast, | ||
| diagnostics::DatamodelError, | ||
| transform::{ | ||
| ast_to_dml::db::{context::Context, types::ScalarField}, | ||
| helpers::ValueValidator, | ||
| }, | ||
| }; | ||
| use datamodel_connector::connector_error::{ConnectorError, ErrorKind}; | ||
| use dml::scalars::ScalarType; | ||
| use itertools::Itertools; | ||
|
|
||
| pub(super) fn visit_native_type_attribute<'ast>( | ||
| type_name: &'ast str, | ||
| attr: &'ast ast::Attribute, | ||
| scalar_type: ScalarType, | ||
| scalar_field: &mut ScalarField<'ast>, | ||
| ctx: &mut Context<'ast>, | ||
| ) { | ||
| let args = &attr.arguments; | ||
| let diagnostics = &mut ctx.diagnostics; | ||
|
|
||
| // convert arguments to string if possible | ||
| let args: Vec<String> = args.iter().map(|arg| ValueValidator::new(&arg.value).raw()).collect(); | ||
|
|
||
| let constructor = if let Some(cons) = ctx.db.active_connector().find_native_type_constructor(type_name) { | ||
| cons | ||
| } else { | ||
| diagnostics.push_error(DatamodelError::new_connector_error( | ||
| &ConnectorError::from_kind(ErrorKind::NativeTypeNameUnknown { | ||
| native_type: type_name.to_owned(), | ||
| connector_name: ctx | ||
| .db | ||
| .datasource() | ||
| .map(|ds| ds.active_provider.clone()) | ||
| .unwrap_or_else(|| "Default".to_owned()), | ||
| }) | ||
| .to_string(), | ||
| attr.span, | ||
| )); | ||
| return; | ||
| }; | ||
|
|
||
| let number_of_args = args.len(); | ||
|
|
||
| if number_of_args < constructor._number_of_args | ||
| || ((number_of_args > constructor._number_of_args) && constructor._number_of_optional_args == 0) | ||
| { | ||
| diagnostics.push_error(DatamodelError::new_argument_count_missmatch_error( | ||
| type_name, | ||
| constructor._number_of_args, | ||
| number_of_args, | ||
| attr.span, | ||
| )); | ||
| return; | ||
| } | ||
|
|
||
| if number_of_args > constructor._number_of_args + constructor._number_of_optional_args | ||
| && constructor._number_of_optional_args > 0 | ||
| { | ||
| diagnostics.push_error(DatamodelError::new_connector_error( | ||
| &ConnectorError::from_kind(ErrorKind::OptionalArgumentCountMismatchError { | ||
| native_type: type_name.to_owned(), | ||
| optional_count: constructor._number_of_optional_args, | ||
| given_count: number_of_args, | ||
| }) | ||
| .to_string(), | ||
| attr.span, | ||
| )); | ||
| return; | ||
| } | ||
|
|
||
| // check for compatibility with scalar type | ||
| if !constructor.prisma_types.contains(&scalar_type) { | ||
| diagnostics.push_error(DatamodelError::new_connector_error( | ||
| &ConnectorError::from_kind(ErrorKind::IncompatibleNativeType { | ||
| native_type: type_name.to_owned(), | ||
| field_type: scalar_type.to_string(), | ||
| expected_types: constructor.prisma_types.iter().map(|s| s.to_string()).join(" or "), | ||
| }) | ||
| .to_string(), | ||
| attr.span, | ||
| )); | ||
| return; | ||
| } | ||
|
|
||
| if let Err(connector_error) = ctx.db.active_connector().parse_native_type(type_name, args.clone()) { | ||
| diagnostics.push_error(DatamodelError::new_connector_error( | ||
| &connector_error.to_string(), | ||
| attr.span, | ||
| )); | ||
| return; | ||
| }; | ||
|
|
||
| scalar_field.native_type = Some((type_name, args)) | ||
| } |
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