@samchon/openapi/lib/composers/llm/ChatGptSchemaComposer.mjs.map

OpenAPI definitions and converters for 'typia' and 'nestia'.

{"version":3,"file":"ChatGptSchemaComposer.mjs","sources":["../../../src/composers/llm/ChatGptSchemaComposer.ts"],"sourcesContent":["import { OpenApi } from \"../../OpenApi\";\nimport { IChatGptSchema } from \"../../structures/IChatGptSchema\";\nimport { ILlmFunction } from \"../../structures/ILlmFunction\";\nimport { ILlmSchemaV3_1 } from \"../../structures/ILlmSchemaV3_1\";\nimport { IOpenApiSchemaError } from \"../../structures/IOpenApiSchemaError\";\nimport { IResult } from \"../../structures/IResult\";\nimport { ChatGptTypeChecker } from \"../../utils/ChatGptTypeChecker\";\nimport { LlmTypeCheckerV3_1 } from \"../../utils/LlmTypeCheckerV3_1\";\nimport { NamingConvention } from \"../../utils/NamingConvention\";\nimport { OpenApiTypeChecker } from \"../../utils/OpenApiTypeChecker\";\nimport { OpenApiValidator } from \"../../utils/OpenApiValidator\";\nimport { JsonDescriptionUtil } from \"../../utils/internal/JsonDescriptionUtil\";\nimport { LlmDescriptionInverter } from \"./LlmDescriptionInverter\";\nimport { LlmSchemaV3_1Composer } from \"./LlmSchemaV3_1Composer\";\n\nexport namespace ChatGptSchemaComposer {\n  /** @internal */\n  export const IS_DEFS = true;\n\n  export const DEFAULT_CONFIG: IChatGptSchema.IConfig = {\n    reference: true,\n    strict: false,\n  };\n\n  /* -----------------------------------------------------------\n    CONVERTERS\n  ----------------------------------------------------------- */\n  export const parameters = (props: {\n    config: IChatGptSchema.IConfig;\n    components: OpenApi.IComponents;\n    schema: OpenApi.IJsonSchema.IObject | OpenApi.IJsonSchema.IReference;\n    accessor?: string;\n    refAccessor?: string;\n  }): IResult<IChatGptSchema.IParameters, IOpenApiSchemaError> => {\n    // polyfill\n    props.config.strict ??= false;\n\n    // validate\n    const result: IResult<ILlmSchemaV3_1.IParameters, IOpenApiSchemaError> =\n      LlmSchemaV3_1Composer.parameters({\n        ...props,\n        config: {\n          reference: props.config.reference,\n          constraint: false,\n        },\n        validate: props.config.strict === true ? validateStrict : undefined,\n      });\n    if (result.success === false) return result;\n\n    // returns with transformation\n    for (const key of Object.keys(result.value.$defs))\n      result.value.$defs[key] = transform({\n        config: props.config,\n        schema: result.value.$defs[key],\n      });\n    return {\n      success: true,\n      value: transform({\n        config: props.config,\n        schema: result.value,\n      }) as IChatGptSchema.IParameters,\n    };\n  };\n\n  export const schema = (props: {\n    config: IChatGptSchema.IConfig;\n    components: OpenApi.IComponents;\n    $defs: Record<string, IChatGptSchema>;\n    schema: OpenApi.IJsonSchema;\n    accessor?: string;\n    refAccessor?: string;\n  }): IResult<IChatGptSchema, IOpenApiSchemaError> => {\n    // polyfill\n    props.config.strict ??= false;\n\n    // validate\n    const oldbie: Set<string> = new Set(Object.keys(props.$defs));\n    const result: IResult<ILlmSchemaV3_1, IOpenApiSchemaError> =\n      LlmSchemaV3_1Composer.schema({\n        ...props,\n        config: {\n          reference: props.config.reference,\n          constraint: false,\n        },\n        validate: props.config.strict === true ? validateStrict : undefined,\n      });\n    if (result.success === false) return result;\n\n    // returns with transformation\n    for (const key of Object.keys(props.$defs))\n      if (oldbie.has(key) === false)\n        props.$defs[key] = transform({\n          config: props.config,\n          schema: props.$defs[key],\n        });\n    return {\n      success: true,\n      value: transform({\n        config: props.config,\n        schema: result.value,\n      }),\n    };\n  };\n\n  const validateStrict = (\n    schema: OpenApi.IJsonSchema,\n    accessor: string,\n  ): IOpenApiSchemaError.IReason[] => {\n    const reasons: IOpenApiSchemaError.IReason[] = [];\n    if (OpenApiTypeChecker.isObject(schema)) {\n      if (!!schema.additionalProperties)\n        reasons.push({\n          schema: schema,\n          accessor: `${accessor}.additionalProperties`,\n          message:\n            \"ChatGPT does not allow additionalProperties in strict mode, the dynamic key typed object.\",\n        });\n      for (const key of Object.keys(schema.properties ?? {}))\n        if (schema.required?.includes(key) === false)\n          reasons.push({\n            schema: schema,\n            accessor: `${accessor}.properties.${key}`,\n            message:\n              \"ChatGPT does not allow optional properties in strict mode.\",\n          });\n    }\n    return reasons;\n  };\n\n  const transform = (props: {\n    config: IChatGptSchema.IConfig;\n    schema: ILlmSchemaV3_1;\n  }): IChatGptSchema => {\n    const union: Array<IChatGptSchema> = [];\n    const attribute: IChatGptSchema.__IAttribute = {\n      title: props.schema.title,\n      description: props.schema.description,\n      example: props.schema.example,\n      examples: props.schema.examples,\n      ...Object.fromEntries(\n        Object.entries(schema).filter(\n          ([key, value]) => key.startsWith(\"x-\") && value !== undefined,\n        ),\n      ),\n    };\n    const visit = (input: ILlmSchemaV3_1): void => {\n      if (LlmTypeCheckerV3_1.isOneOf(input)) input.oneOf.forEach(visit);\n      else if (LlmTypeCheckerV3_1.isArray(input))\n        union.push({\n          ...input,\n          items: transform({\n            config: props.config,\n            schema: input.items,\n          }),\n        });\n      else if (LlmTypeCheckerV3_1.isObject(input))\n        union.push({\n          ...input,\n          properties: Object.fromEntries(\n            Object.entries(input.properties).map(([key, value]) => [\n              key,\n              transform({\n                config: props.config,\n                schema: value,\n              }),\n            ]),\n          ),\n          additionalProperties:\n            props.config.strict === true\n              ? false\n              : typeof input.additionalProperties === \"object\" &&\n                  input.additionalProperties !== null\n                ? transform({\n                    config: props.config,\n                    schema: input.additionalProperties,\n                  })\n                : input.additionalProperties,\n          description: JsonDescriptionUtil.take(input),\n        });\n      else if (LlmTypeCheckerV3_1.isConstant(input) === false)\n        union.push(input);\n    };\n    const visitConstant = (input: ILlmSchemaV3_1): void => {\n      const insert = (value: any): void => {\n        const matched: IChatGptSchema.IString | undefined = union.find(\n          (u) =>\n            (u as IChatGptSchema.__ISignificant<any> | undefined)?.type ===\n            typeof value,\n        ) as IChatGptSchema.IString | undefined;\n        if (matched !== undefined) {\n          matched.enum ??= [];\n          matched.enum.push(value);\n        } else\n          union.push({\n            type: typeof value as \"number\",\n            enum: [value],\n          });\n      };\n      if (OpenApiTypeChecker.isConstant(input)) insert(input.const);\n      else if (OpenApiTypeChecker.isOneOf(input))\n        input.oneOf.forEach((s) => visitConstant(s as ILlmSchemaV3_1));\n    };\n    visit(props.schema);\n    visitConstant(props.schema);\n    if (union.length === 0)\n      return {\n        ...attribute,\n        type: undefined,\n      };\n    else if (union.length === 1)\n      return {\n        ...attribute,\n        ...union[0],\n        description: ChatGptTypeChecker.isReference(union[0]!)\n          ? undefined\n          : (union[0].description ?? attribute.description),\n      };\n    return {\n      ...attribute,\n      anyOf: union.map((u) => ({\n        ...u,\n        description: ChatGptTypeChecker.isReference(u)\n          ? undefined\n          : u.description,\n      })),\n      \"x-discriminator\":\n        LlmTypeCheckerV3_1.isOneOf(props.schema) &&\n        props.schema.discriminator !== undefined &&\n        props.schema.oneOf.length === union.length &&\n        union.every(\n          (e) =>\n            ChatGptTypeChecker.isReference(e) || ChatGptTypeChecker.isNull(e),\n        )\n          ? props.schema.discriminator\n          : undefined,\n    };\n  };\n\n  /* -----------------------------------------------------------\n    SEPARATORS\n  ----------------------------------------------------------- */\n  export const separateParameters = (props: {\n    parameters: IChatGptSchema.IParameters;\n    predicate: (schema: IChatGptSchema) => boolean;\n    convention?: (key: string, type: \"llm\" | \"human\") => string;\n    equals?: boolean;\n  }): ILlmFunction.ISeparated<\"chatgpt\"> => {\n    const convention =\n      props.convention ??\n      ((key, type) => `${key}.${NamingConvention.capitalize(type)}`);\n    const [llm, human] = separateObject({\n      predicate: props.predicate,\n      convention,\n      $defs: props.parameters.$defs,\n      schema: props.parameters,\n    });\n    if (llm === null || human === null)\n      return {\n        llm: (llm as IChatGptSchema.IParameters | null) ?? {\n          type: \"object\",\n          properties: {} as Record<string, IChatGptSchema>,\n          required: [],\n          additionalProperties: false,\n          $defs: {},\n        },\n        human: human as IChatGptSchema.IParameters | null,\n      };\n    const output: ILlmFunction.ISeparated<\"chatgpt\"> = {\n      llm: {\n        ...llm,\n        $defs: Object.fromEntries(\n          Object.entries(props.parameters.$defs).filter(([key]) =>\n            key.endsWith(\".Llm\"),\n          ),\n        ),\n        additionalProperties: false,\n      },\n      human: {\n        ...human,\n        $defs: Object.fromEntries(\n          Object.entries(props.parameters.$defs).filter(([key]) =>\n            key.endsWith(\".Human\"),\n          ),\n        ),\n        additionalProperties: false,\n      },\n    };\n    for (const key of Object.keys(props.parameters.$defs))\n      if (key.endsWith(\".Llm\") === false && key.endsWith(\".Human\") === false)\n        delete props.parameters.$defs[key];\n    if (Object.keys(output.llm.properties).length !== 0) {\n      const components: OpenApi.IComponents = {};\n      output.validate = OpenApiValidator.create({\n        components,\n        schema: invert({\n          components,\n          schema: output.llm,\n          $defs: output.llm.$defs,\n        }),\n        required: true,\n        equals: props.equals,\n      });\n    }\n    return output;\n  };\n\n  const separateStation = (props: {\n    predicate: (schema: IChatGptSchema) => boolean;\n    convention: (key: string, type: \"llm\" | \"human\") => string;\n    $defs: Record<string, IChatGptSchema>;\n    schema: IChatGptSchema;\n  }): [IChatGptSchema | null, IChatGptSchema | null] => {\n    if (props.predicate(props.schema) === true) return [null, props.schema];\n    else if (\n      ChatGptTypeChecker.isUnknown(props.schema) ||\n      ChatGptTypeChecker.isAnyOf(props.schema)\n    )\n      return [props.schema, null];\n    else if (ChatGptTypeChecker.isObject(props.schema))\n      return separateObject({\n        predicate: props.predicate,\n        convention: props.convention,\n        $defs: props.$defs,\n        schema: props.schema,\n      });\n    else if (ChatGptTypeChecker.isArray(props.schema))\n      return separateArray({\n        predicate: props.predicate,\n        convention: props.convention,\n        $defs: props.$defs,\n        schema: props.schema,\n      });\n    else if (ChatGptTypeChecker.isReference(props.schema))\n      return separateReference({\n        predicate: props.predicate,\n        convention: props.convention,\n        $defs: props.$defs,\n        schema: props.schema,\n      });\n    return [props.schema, null];\n  };\n\n  const separateArray = (props: {\n    predicate: (schema: IChatGptSchema) => boolean;\n    convention: (key: string, type: \"llm\" | \"human\") => string;\n    $defs: Record<string, IChatGptSchema>;\n    schema: IChatGptSchema.IArray;\n  }): [IChatGptSchema.IArray | null, IChatGptSchema.IArray | null] => {\n    const [x, y] = separateStation({\n      predicate: props.predicate,\n      convention: props.convention,\n      $defs: props.$defs,\n      schema: props.schema.items,\n    });\n    return [\n      x !== null\n        ? {\n            ...props.schema,\n            items: x,\n          }\n        : null,\n      y !== null\n        ? {\n            ...props.schema,\n            items: y,\n          }\n        : null,\n    ];\n  };\n\n  const separateObject = (props: {\n    $defs: Record<string, IChatGptSchema>;\n    predicate: (schema: IChatGptSchema) => boolean;\n    convention: (key: string, type: \"llm\" | \"human\") => string;\n    schema: IChatGptSchema.IObject;\n  }): [IChatGptSchema.IObject | null, IChatGptSchema.IObject | null] => {\n    // EMPTY OBJECT\n    if (\n      Object.keys(props.schema.properties ?? {}).length === 0 &&\n      !!props.schema.additionalProperties === false\n    )\n      return [props.schema, null];\n\n    const llm = {\n      ...props.schema,\n      properties: {} as Record<string, IChatGptSchema>,\n      additionalProperties: props.schema.additionalProperties,\n    } satisfies IChatGptSchema.IObject;\n    const human = {\n      ...props.schema,\n      properties: {} as Record<string, IChatGptSchema>,\n    } satisfies IChatGptSchema.IObject;\n\n    for (const [key, value] of Object.entries(props.schema.properties ?? {})) {\n      const [x, y] = separateStation({\n        predicate: props.predicate,\n        convention: props.convention,\n        $defs: props.$defs,\n        schema: value,\n      });\n      if (x !== null) llm.properties[key] = x;\n      if (y !== null) human.properties[key] = y;\n    }\n    if (\n      typeof props.schema.additionalProperties === \"object\" &&\n      props.schema.additionalProperties !== null\n    ) {\n      const [dx, dy] = separateStation({\n        predicate: props.predicate,\n        convention: props.convention,\n        $defs: props.$defs,\n        schema: props.schema.additionalProperties,\n      });\n      llm.additionalProperties = dx ?? false;\n      human.additionalProperties = dy ?? false;\n    }\n    return [\n      !!Object.keys(llm.properties).length || !!llm.additionalProperties\n        ? shrinkRequired(llm)\n        : null,\n      !!Object.keys(human.properties).length || human.additionalProperties\n        ? shrinkRequired(human)\n        : null,\n    ];\n  };\n\n  const separateReference = (props: {\n    predicate: (schema: IChatGptSchema) => boolean;\n    convention: (key: string, type: \"llm\" | \"human\") => string;\n    $defs: Record<string, IChatGptSchema>;\n    schema: IChatGptSchema.IReference;\n  }): [IChatGptSchema.IReference | null, IChatGptSchema.IReference | null] => {\n    const key: string = props.schema.$ref.split(\"#/$defs/\")[1];\n    const humanKey: string = props.convention(key, \"human\");\n    const llmKey: string = props.convention(key, \"llm\");\n\n    // FIND EXISTING\n    if (props.$defs?.[humanKey] || props.$defs?.[llmKey])\n      return [\n        props.$defs?.[llmKey]\n          ? {\n              ...props.schema,\n              $ref: `#/$defs/${llmKey}`,\n            }\n          : null,\n        props.$defs?.[humanKey]\n          ? {\n              ...props.schema,\n              $ref: `#/$defs/${humanKey}`,\n            }\n          : null,\n      ];\n\n    // PRE-ASSIGNMENT\n    props.$defs![llmKey] = {};\n    props.$defs![humanKey] = {};\n\n    // DO COMPOSE\n    const schema: IChatGptSchema = props.$defs?.[key]!;\n    const [llm, human] = separateStation({\n      predicate: props.predicate,\n      convention: props.convention,\n      $defs: props.$defs,\n      schema,\n    });\n    if (llm !== null) Object.assign(props.$defs[llmKey], llm);\n    if (human !== null) Object.assign(props.$defs[humanKey], human);\n\n    // ONLY ONE\n    if (llm === null || human === null) {\n      delete props.$defs[llmKey];\n      delete props.$defs[humanKey];\n      return llm === null ? [null, props.schema] : [props.schema, null];\n    }\n\n    // BOTH OF THEM\n    return [\n      llm !== null\n        ? {\n            ...props.schema,\n            $ref: `#/$defs/${llmKey}`,\n          }\n        : null,\n      human !== null\n        ? {\n            ...props.schema,\n            $ref: `#/$defs/${humanKey}`,\n          }\n        : null,\n    ];\n  };\n\n  const shrinkRequired = (\n    s: IChatGptSchema.IObject,\n  ): IChatGptSchema.IObject => {\n    s.required = s.required.filter((key) => s.properties?.[key] !== undefined);\n    return s;\n  };\n\n  /* -----------------------------------------------------------\n    INVERTERS\n  ----------------------------------------------------------- */\n  export const invert = (props: {\n    components: OpenApi.IComponents;\n    schema: IChatGptSchema;\n    $defs: Record<string, IChatGptSchema>;\n  }): OpenApi.IJsonSchema => {\n    const union: OpenApi.IJsonSchema[] = [];\n    const attribute: OpenApi.IJsonSchema.__IAttribute = {\n      title: props.schema.title,\n      description: props.schema.description,\n      ...Object.fromEntries(\n        Object.entries(props.schema).filter(\n          ([key, value]) => key.startsWith(\"x-\") && value !== undefined,\n        ),\n      ),\n      example: props.schema.example,\n      examples: props.schema.examples,\n    };\n\n    const next = (schema: IChatGptSchema): OpenApi.IJsonSchema =>\n      invert({\n        components: props.components,\n        $defs: props.$defs,\n        schema,\n      });\n    const visit = (schema: IChatGptSchema): void => {\n      if (ChatGptTypeChecker.isArray(schema))\n        union.push({\n          ...schema,\n          ...LlmDescriptionInverter.array(schema.description),\n          items: next(schema.items),\n        });\n      else if (ChatGptTypeChecker.isObject(schema))\n        union.push({\n          ...schema,\n          properties: Object.fromEntries(\n            Object.entries(schema.properties).map(([key, value]) => [\n              key,\n              next(value),\n            ]),\n          ),\n          additionalProperties:\n            typeof schema.additionalProperties === \"object\" &&\n            schema.additionalProperties !== null\n              ? next(schema.additionalProperties)\n              : schema.additionalProperties,\n        });\n      else if (ChatGptTypeChecker.isAnyOf(schema)) schema.anyOf.forEach(visit);\n      else if (ChatGptTypeChecker.isReference(schema)) {\n        const key: string = schema.$ref.split(\"#/$defs/\")[1];\n        if (props.components.schemas?.[key] === undefined) {\n          props.components.schemas ??= {};\n          props.components.schemas[key] = {};\n          props.components.schemas[key] = next(props.$defs[key] ?? {});\n        }\n        union.push({\n          ...schema,\n          $ref: `#/components/schemas/${key}`,\n        });\n      } else if (ChatGptTypeChecker.isBoolean(schema))\n        if (!!schema.enum?.length)\n          schema.enum.forEach((v) =>\n            union.push({\n              const: v,\n            }),\n          );\n        else union.push(schema);\n      else if (\n        ChatGptTypeChecker.isInteger(schema) ||\n        ChatGptTypeChecker.isNumber(schema)\n      )\n        if (!!schema.enum?.length)\n          schema.enum.forEach((v) =>\n            union.push({\n              const: v,\n            }),\n          );\n        else\n          union.push({\n            ...schema,\n            ...LlmDescriptionInverter.numeric(schema.description),\n            ...{ enum: undefined },\n          });\n      else if (ChatGptTypeChecker.isString(schema))\n        if (!!schema.enum?.length)\n          schema.enum.forEach((v) =>\n            union.push({\n              const: v,\n            }),\n          );\n        else\n          union.push({\n            ...schema,\n            ...LlmDescriptionInverter.string(schema.description),\n            ...{ enum: undefined },\n          });\n      else\n        union.push({\n          ...schema,\n        });\n    };\n    visit(props.schema);\n\n    return {\n      ...attribute,\n      ...(union.length === 0\n        ? { type: undefined }\n        : union.length === 1\n          ? { ...union[0] }\n          : {\n              oneOf: union.map((u) => ({ ...u, nullable: undefined })),\n              discriminator:\n                ChatGptTypeChecker.isAnyOf(props.schema) &&\n                props.schema[\"x-discriminator\"] !== undefined\n                  ? {\n                      property: props.schema[\"x-discriminator\"],\n                      mapping:\n                        props.schema[\"x-discriminator\"].mapping !== undefined\n                          ? Object.fromEntries(\n                              Object.entries(\n                                props.schema[\"x-discriminator\"].mapping,\n                              ).map(([key, value]) => [\n                                key,\n                                `#/components/schemas/${value.split(\"/\").at(-1)}`,\n                              ]),\n                            )\n                          : undefined,\n                    }\n                  : undefined,\n            }),\n    };\n  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