import { AutoBeDatabase } from "@autobe/interface";
import { IAutoBePreliminaryGetAnalysisSections } from "../../common/structures/IAutoBePreliminaryGetAnalysisSections";
import { IAutoBePreliminaryGetDatabaseSchemas } from "../../common/structures/IAutoBePreliminaryGetDatabaseSchemas";
import { IAutoBePreliminaryGetPreviousAnalysisSections } from "../../common/structures/IAutoBePreliminaryGetPreviousAnalysisSections";
import { IAutoBePreliminaryGetPreviousDatabaseSchemas } from "../../common/structures/IAutoBePreliminaryGetPreviousDatabaseSchemas";
export interface IAutoBeDatabaseCorrectApplication {
    /**
     * Process schema correction task or preliminary data requests.
     *
     * Workflow:
     *
     * 1. Request preliminary context if needed (getAnalysisSections, etc.)
     * 2. Submit corrected models via `write`
     *
     * @param props Request containing preliminary data request or write
     *   submission
     */
    process(props: IAutoBeDatabaseCorrectApplication.IProps): void;
}
export declare namespace IAutoBeDatabaseCorrectApplication {
    interface IProps {
        /**
         * Think before you act.
         *
         * For preliminary requests: what critical information is missing and why?
         * Be brief — state the gap, don't list everything you have.
         *
         * For write submissions: summarize what errors you are fixing and how.
         */
        thinking: string;
        /**
         * Action to perform.
         *
         * Preliminary `getXxx` types are removed from the union once exhausted.
         */
        request: IWrite | IAutoBePreliminaryGetAnalysisSections | IAutoBePreliminaryGetDatabaseSchemas | IAutoBePreliminaryGetPreviousAnalysisSections | IAutoBePreliminaryGetPreviousDatabaseSchemas;
    }
    /** Submit corrected models. */
    interface IWrite {
        /** Type discriminator for write submission. */
        type: "write";
        /**
         * Execution plan for fixing validation errors. Required steps:
         *
         * 1. Error scope analysis — list all validation errors, extract affected table
         *    names, categorize by type (duplications, references, types, indexes)
         * 2. Targeted fix strategy — focus ONLY on models in errors, outline minimal
         *    changes per model
         * 3. Model-specific fix plan — detail corrections per affected model
         * 4. Minimal scope validation — confirm which models are in/out of output
         * 5. Targeted impact assessment — verify fixes don't break references from
         *    unchanged models
         *
         * Preserve all business logic and cross-model references.
         */
        planning: string;
        /**
         * Models with validation errors that need correction.
         *
         * Contains ONLY models from IAutoBeDatabaseValidation.IError[]. Output
         * corrected versions of these models only. Cross-model references must stay
         * valid but target models are not modified.
         */
        models: AutoBeDatabase.IModel[];
    }
}