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types.ts
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274 lines (247 loc) · 5.97 KB
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import {
AnyObject,
Count,
DataObject,
Entity,
Filter,
FilterExcludingWhere,
ModelDefinition,
Where,
} from '@loopback/repository';
import {ModelConstructor} from '@sourceloop/core';
import {SupportedDBs} from '../../types';
import {DatasetActionType} from './constant';
export enum EvaluationResult {
Pass = 'pass',
QueryError = 'query_error',
TableError = 'table_not_found',
}
export enum GenerationError {
Failed = 'failed',
}
export enum DatasetFeedback {
Accepted = 'accept',
QueryIssue = 'query_issue',
OtherIssue = 'other_issue',
}
export enum ChangeType {
Minor = 'minor',
Major = 'major',
Rewrite = 'rewrite',
}
export enum CacheResults {
AsIs = 'as-is',
Similar = 'similar',
NotRelevant = 'not-relevant',
}
export enum Errors {
PermissionError = 'permission_error',
}
export enum RelationType {
BelongsTo = 'belongsTo',
HasMany = 'hasMany',
HasOne = 'hasOne',
HasManyThrough = 'hasManyThrough',
}
export type Status =
| EvaluationResult
| DatasetFeedback
| Errors
| GenerationError;
export type DatasetServiceConfig = {};
export type ColumnSchema = {
type: string;
required: boolean;
description?: string;
id: boolean;
metadata?: Record<string, AnyObject[string]>;
};
export type TableSchema = {
columns: Record<string, ColumnSchema>;
primaryKey: string[];
description: string;
context: (string | Record<string, string>)[];
hash: string;
};
export type ForeignKey = {
table: string;
column: string;
referencedTable: string;
referencedColumn: string;
type: RelationType;
description?: string;
};
export type DatabaseSchema = {
tables: Record<string, TableSchema>;
relations: ForeignKey[];
};
export type IModelConfig = {
model: ModelConstructor<Entity>;
readPermissionKey: string;
};
export type ModelDefinitionWithName = {
name: string;
props: ModelDefinition;
};
export type DbQueryConfig = {
models: IModelConfig[];
db?: {
schema?: string;
dialect: SupportedDBs;
ignoredColumns?: string[];
};
readAccessForAI?: boolean;
maxRowsForAI?: number;
noKnowledgeGraph?: boolean;
knowledgeGraph?: {
// value between 0 and 1 indicating the weight of the knowledge graph in the query evaluation
graphWeight: number;
// value between 0 and 1 indicating the weight of the vector similarity in the query evaluation
vectorWeight: number;
// similarity threshold for considering two tables in same cluster
clusterThreshold?: number;
// concept threshold to consider an LLM recognized concept
conceptThreshold?: number;
// max cluster size
maxClusterSize?: number;
};
nodes?: {
sqlGenerationNode?: {
generateDescription?: boolean;
useSmartLLMForSingleTableQueries?: boolean;
};
getTablesNode?: {
useSmartLLM?: boolean;
};
semanticValidatorNode?: {
useSmartLLM?: boolean;
};
generateChecklistNode?: {
enabled?: boolean;
parallelism?: number;
};
verifyChecklistNode?: {
enabled?: boolean;
evaluation?: boolean;
};
};
columnSelection?: boolean;
};
export type IDatasetAction = {
datasetId: string;
userId: string;
action: DatasetActionType;
comment?: string | null;
};
export type IDataSet = {
tenantId: string;
query: string;
description: string;
tables: string[];
schemaHash: string;
votes: number;
prompt: string;
createdBy?: string;
id?: string;
};
export type IDatasetWithActions = IDataSet & {
actions?: IDatasetAction[];
};
export interface IDataSetStore {
findById(
id: string,
filter?: FilterExcludingWhere<IDataSet>,
): Promise<IDatasetWithActions>;
find(filter?: Filter<IDataSet>): Promise<IDatasetWithActions[]>;
create(data: IDataSet): Promise<IDataSet>;
updateById(id: string, data: DataObject<IDataSet>): Promise<void>;
updateAll(
data: DataObject<IDataSet>,
where?: Where<IDataSet>,
): Promise<Count>;
getData<T extends AnyObject>(
id: string,
limit?: number,
offset?: number,
): Promise<T[]>;
updateLikes(
datasetId: string,
liked: boolean | null,
comment?: string,
): Promise<IDataSet>;
getLikes(datasetId: string): Promise<IDatasetAction | null>;
}
export enum DbQueryStoredTypes {
DataSet = 'dataset',
Table = 'table',
SchemaHash = 'schema_hash',
Context = 'context',
KnowledgeGraph = 'knowledge_graph',
Template = 'template',
}
export type CachedKnowledgeGraph = {
hash: string;
graph: string;
};
export type QueryCacheMetadata = {
datasetId: string;
query: string;
type: DbQueryStoredTypes.DataSet;
description: string;
votes: number;
};
export type PlaceholderType =
| 'string'
| 'number'
| 'boolean'
| 'sql_expression'
| 'template_ref';
export type TemplatePlaceholder = {
name: string;
type: PlaceholderType;
description: string;
templateId?: string;
default?: string;
table?: string;
column?: string;
optional?: boolean;
};
export type QueryTemplate = {
id: string;
tenantId: string;
template: string;
description: string;
placeholders: TemplatePlaceholder[];
tables: string[];
schemaHash: string;
votes: number;
prompt: string;
};
export type QueryTemplateMetadata = {
templateId: string;
template: string;
type: DbQueryStoredTypes.Template;
description: string;
votes: number;
placeholders: string; // JSON-serialized TemplatePlaceholder[]
tables: string; // JSON-serialized string[]
schemaHash: string;
};
export interface IQueryTemplateStore {
findById(id: string): Promise<QueryTemplate>;
find(filter?: {where?: Partial<QueryTemplate>}): Promise<QueryTemplate[]>;
create(data: QueryTemplate): Promise<QueryTemplate>;
updateById(id: string, data: Partial<QueryTemplate>): Promise<void>;
deleteById(id: string): Promise<void>;
}
export type QueryParam = string | number;
export interface IDbConnector {
execute<T>(
query: string,
limit?: number,
offset?: number,
params?: QueryParam[],
): Promise<T[]>;
validate(query: string): Promise<void>;
toDDL(dbSchema: DatabaseSchema): string;
}