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310 lines (279 loc) · 10.6 KB
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// this file generates the GraphQL filter types for most of our fields.
// generating them from the prisma information isn't really about time or convenience.
// it's about clearly showing what the rules for getting the filters are and what the exceptions are.
import { deepStrictEqual } from 'assert';
import { isDeepStrictEqual } from 'util';
import fs from 'fs-extra';
import { DMMF } from '@prisma/generator-helper';
import { getDMMF } from '@prisma/internals';
import { format, resolveConfig } from 'prettier';
const providers = ['postgresql', 'sqlite', 'mysql'] as const;
type Provider = typeof providers[number];
// https://www.prisma.io/docs/reference/api-reference/prisma-schema-reference#model-field-scalar-types
// only the prisma scalars that we currently use are here because adding one requires choosing a graphql scalar
// we can add them when we want field types for those scalars
// the missing ones are:
// - Bytes
// - Json
// - Unsupported (this one can't be interacted with in the prisma client (and therefore cannot be filtered) so it's irrelevant here)
const scalarTypes = ['String', 'Boolean', 'Int', 'Float', 'DateTime', 'Decimal', 'BigInt'] as const;
const getSchemaForProvider = (provider: Provider) => {
return `datasource ${provider} {
url = env("DATABASE_URL")
provider = "${provider}"
}
generator client {
provider = "prisma-client-js"
}
model Optional {
id Int @id @default(autoincrement())
${scalarTypes.map(scalarType => `${scalarType} ${scalarType}?`).join('\n')}
}
model Required {
id Int @id @default(autoincrement())
${scalarTypes.map(scalarType => `${scalarType} ${scalarType}`).join('\n')}
}
${
provider === 'postgresql'
? `model Many {
id Int @id @default(autoincrement())
${scalarTypes.map(scalarType => `${scalarType} ${scalarType}[]`).join('\n')}
}`
: ''
}
`;
};
(async () => {
const prettierConfig = await resolveConfig(`${__dirname}/index.ts`);
assert(prettierConfig !== null);
for (const provider of providers) {
const schema = getSchemaForProvider(provider);
const dmmf = await getDMMF({ datamodel: schema });
await fs.outputFile(
`${__dirname}/generated/${provider}.json`,
JSON.stringify(dmmf.schema.inputObjectTypes, null, 2)
);
const types = getInputTypesByName(dmmf.schema.inputObjectTypes.prisma);
const rootTypes = scalarTypes.flatMap((scalar: string) => {
if (scalar === 'Boolean') {
scalar = 'Bool';
}
if (scalar === 'SomeEnum') {
// the filter types have to be generic over the enum so it's just easier to write it out manually
// but we still want this here to snapshot what the filters look like for a given prisma version & provider combination
return [];
}
let types = [`${scalar}NullableFilter`, `${scalar}Filter`];
if (provider === 'postgresql') {
// i'm not sure this is says nullable when they're not nullable?
// i don't think there is a nullable and non-nullable list?
types.push(`${scalar}NullableListFilter`);
}
return types;
});
for (const typeName of Object.keys(types)) {
replaceNestedNotFilterTypes(types, typeName);
}
const referencedTypes = new Set<string>();
for (const typeName of rootTypes) {
collectReferencedTypes(types, typeName, referencedTypes);
}
if (provider === 'postgresql') {
deepStrictEqual(
dmmf.schema.enumTypes.prisma.find(x => x.name === 'QueryMode'),
{ name: 'QueryMode', values: ['default', 'insensitive'] }
);
}
await fs.outputFile(
`${__dirname}/generated/only-filters/${provider}.json`,
JSON.stringify(
Object.fromEntries([...referencedTypes].map(typeName => [typeName, types[typeName]])),
null,
2
)
);
const filepath = `${__dirname}/../../packages/core/src/types/filters/providers/${provider}.ts`;
const newContent = format(
`// Do not manually modify this file, it is automatically generated by the package at /prisma-utils in this repo.
// Update the script if you need this file to be different
import { graphql } from '../../schema';
${provider === 'postgresql' ? `import { QueryMode } from '../../next-fields'` : ''}
${[...referencedTypes].map(typeName => printInputTypeForGraphQLTS(typeName, types)).join('\n\n')}
${scalarTypes
.map(scalar => {
const scalarInFilterName = scalar === 'Boolean' ? 'Bool' : scalar;
return `export const ${scalar} = {
optional: ${scalarInFilterName}NullableFilter,
required: ${scalarInFilterName}Filter,
${provider === 'postgresql' ? `many: ${scalarInFilterName}NullableListFilter` : ''}
}`;
})
.join('\n\n')}
export {enumFilters as enum } from '../enum-filter'
`,
{ ...prettierConfig, filepath }
);
if (process.env.VERIFY) {
const contents = await fs.readFile(filepath, 'utf8');
if (contents !== newContent) {
throw new Error(
`The file at ${filepath} is inconsistent with the expected generated contents, please run \`yarn generate-filters\` from the root to update it`
);
}
} else {
await fs.outputFile(filepath, newContent);
}
}
})().catch(x => {
console.error(x);
process.exit(1);
});
function getInputTypesByName(types: DMMF.InputType[]) {
return Object.fromEntries(types.map(x => [x.name, x]));
}
function assert(condition: boolean, message?: string): asserts condition {
if (!condition) {
debugger;
throw new Error(`assertion failed${message === undefined ? '' : `: ${message}`}`);
}
}
function replaceNestedNotFilterTypes(
inputTypesByName: Record<string, DMMF.InputType>,
inputTypeName: string
) {
// we want to not replace the nested filter for strings because we don't replace it on postgresql
// and we want the naming to be the same on SQLite
if (inputTypeName.includes('String')) return;
const inputType = inputTypesByName[inputTypeName];
for (const field of inputType.fields) {
if (field.name === 'not') {
const objectInput = field.inputTypes.find(input => input.namespace === 'prisma');
if (
typeof objectInput?.type === 'string' &&
isDeepStrictEqual(inputType.fields, inputTypesByName[objectInput.type].fields)
) {
objectInput.type = inputTypeName;
}
}
}
}
const expectedScalars = new Set(['Null', 'QueryMode', ...scalarTypes]);
function collectReferencedTypes(
inputTypesByName: Record<string, DMMF.InputType>,
inputTypeName: string,
referencedTypes: Set<string>
) {
referencedTypes.add(inputTypeName);
const inputType = inputTypesByName[inputTypeName];
assert(inputType !== undefined, `could not find input type ${inputTypeName}`);
for (const field of inputType.fields) {
assert(!field.isRequired, 'unexpected required field');
for (const inputType of field.inputTypes) {
assert(typeof inputType.type === 'string', 'unexpected non-type name in input types');
if (inputType.location === 'scalar' || inputType.location === 'enumTypes') {
assert(expectedScalars.has(inputType.type), `unexpected scalar ${inputType.type}`);
continue;
}
assert(inputType.location === 'inputObjectTypes', `unexpected ${inputType.location} type`);
if (!referencedTypes.has(inputType.type)) {
collectReferencedTypes(inputTypesByName, inputType.type, referencedTypes);
}
}
}
}
/**
* Note a field can be both nullable and a list.
*
* Translated into typescript, that means `Array<T> | null`,
* not `Array<T | null>` or `Array<T | null> | null`
*/
type TransformedInputTypeField = {
type: string;
isNullable: boolean;
isList: boolean;
};
functio
87DA
n pickInputTypeForField(field: DMMF.SchemaArg): TransformedInputTypeField {
assert(!field.isRequired, 'unexpected required field');
// null is already represented with field.isNullable
const inputTypesWithoutNull = field.inputTypes.filter(type => {
if (type.type === 'Null') {
assert(!type.isList, 'unexpected null list');
assert(field.isNullable, 'unexpected isNullable false when null type in input types');
return false;
}
return true;
});
assert(
inputTypesWithoutNull.length + Number(field.isNullable) === field.inputTypes.length,
'unexpected isNullable false when null type in input types'
);
const inputType = (() => {
if (inputTypesWithoutNull.length === 1) {
return inputTypesWithoutNull[0];
}
assert(
inputTypesWithoutNull.length === 2,
'unexpected more than two input types excluding null'
);
const inputType = inputTypesWithoutNull.find(x => x.location == 'inputObjectTypes');
assert(
!!inputType,
'could not find input object type when more than one input type excluding null'
);
return inputType;
})();
assert(typeof inputType.type === 'string');
return {
isList: inputType.isList,
isNullable: field.isNullable,
type: scalarsToGqlScalars[inputType.type] ?? inputType.type,
};
}
function printInputTypeForGraphQLTS(
inputTypeName: string,
inputTypesByName: Record<string, DMMF.InputType>
) {
const inputType = inputTypesByName[inputTypeName];
assert(inputType !== undefined, `could not find input type ${inputTypeName}`);
const expectedMaxMinNumFields = inputTypeName.endsWith('NullableListFilter') ? 1 : null;
assert(inputType.constraints.maxNumFields === expectedMaxMinNumFields);
assert(inputType.constraints.minNumFields === expectedMaxMinNumFields);
const nameOfInputObjectTypeType = `${inputTypeName}Type`;
const fields = inputType.fields.map(x => [x.name, pickInputTypeForField(x)] as const);
return `type ${nameOfInputObjectTypeType} = graphql.InputObjectType<{
${fields
.map(([name, field]) => {
return `${field.isNullable ? '// can be null\n' : ''}${name}: graphql.Arg<${
field.isList
? `graphql.ListType<graphql.NonNullType<typeof ${field.type}>>`
: `typeof ${field.type}`
}>`;
})
.join(',\n')}
}>
const ${inputTypeName}: ${nameOfInputObjectTypeType} = graphql.inputObject({
name: '${
// we want to use Boolean instead of Bool because GraphQL calls it Boolean
inputTypeName.replace('Bool', 'Boolean')
}',
fields: () => ({
${fields
.map(([name, field]) => {
return `${field.isNullable ? '// can be null\n' : ''}${name}: graphql.arg({ type: ${
field.isList ? `graphql.list(graphql.nonNull(${field.type}))` : field.type
} })`;
})
.join(',\n')}
})
})`;
}
const scalarsToGqlScalars: Record<string, string> = {
String: 'graphql.String',
Boolean: 'graphql.Boolean',
Int: 'graphql.Int',
Float: 'graphql.Float',
Json: 'graphql.JSON',
DateTime: 'graphql.DateTime',
Decimal: 'graphql.Decimal',
BigInt: 'graphql.BigInt',
};