// Analyze orchestrator. Runs the requested sections sequentially. Sections
// are independent: a partial failure in one doesn't abort the rest. Each
// section writes an AnalysisRun row for telemetry / "last-run" timestamps.
//
// Order matters when "all" is selected:
//   1. concepts (taxonomy + glossary in one pass — others depend on its output)
//   2. model    (uses the term list, can populate Block/Assoc/Constraint/Req
//                linkedTermIds)
//   3. requirements (uses term-to-block links from model)
//   4. assumptions, risks, inconsistencies (run on the refreshed model)
//
// Per-section runs skip the dependency steps and use whatever's already in
// the DB. That keeps "I just want to refresh concepts" cheap.

import "server-only";
import {
  loadDocument,
  loadProject,
  replaceModel,
  startAnalysisRun,
  finishAnalysisRun,
  mergeTaxonomySuggestion,
  applyGlossaryDefinitions,
  listTerms,
  mergeRequirementsSuggestion,
  mergeFindingsSuggestion,
  linkTermToBlock,
  type AnalysisSection,
} from "../../db/repo";
import { proseDocToPlainText } from "./proseText";
import { analyzeConcepts } from "./concepts";
import { analyzeRequirements } from "./requirements";
import { analyzeModelFromProse } from "./model";
import { detectFindings, type Finding } from "../detect";
import { crossValidate } from "../../sysml/crossValidate";

export type RunSection = AnalysisSection;

export interface SectionOutcome {
  section: RunSection;
  status: "succeeded" | "failed" | "skipped";
  message?: string;
  inputTokens?: number;
  outputTokens?: number;
}

export interface AnalyzeRunResult {
  outcomes: SectionOutcome[];
  modelVersion: number;
}

const ALL: RunSection[] = [
  "concepts",
  "model",
  "requirements",
  "assumptions",
  "risks",
  "inconsistencies",
];

export async function runAnalyze(projectId: string, requested: RunSection): Promise<AnalyzeRunResult> {
  const sections: RunSection[] = requested === "all" ? ALL : [requested];

  const docRow = await loadDocument(projectId);
  const documentText = docRow ? proseDocToPlainText(docRow.doc) : "";
  if (!documentText.trim()) {
    return {
      outcomes: sections.map(s => ({ section: s, status: "skipped", message: "Empty document" })),
      modelVersion: (await loadProject(projectId)).version,
    };
  }

  const outcomes: SectionOutcome[] = [];

  for (const section of sections) {
    const { version: modelVersion } = await loadProject(projectId);
    const runId = await startAnalysisRun(projectId, section, modelVersion);
    try {
      const out = await runSection(projectId, section, documentText);
      await finishAnalysisRun(runId, {
        status: "succeeded",
        inputTokens: out.inputTokens,
        outputTokens: out.outputTokens,
      });
      outcomes.push({ section, status: "succeeded", inputTokens: out.inputTokens, outputTokens: out.outputTokens });
    } catch (err) {
      const message = (err as Error).message;
      console.error(`[analyze] ${section} failed:`, message);
      await finishAnalysisRun(runId, { status: "failed", errorMessage: message });
      outcomes.push({ section, status: "failed", message });
    }
  }

  const finalVersion = (await loadProject(projectId)).version;
  return { outcomes, modelVersion: finalVersion };
}

// ─── Per-section runners ─────────────────────────────────────────────────

interface RunOut {
  inputTokens: number;
  outputTokens: number;
}

async function runSection(projectId: string, section: RunSection, documentText: string): Promise<RunOut> {
  switch (section) {
    case "concepts":
      return runConcepts(projectId, documentText);
    case "model":
      return runModel(projectId, documentText);
    case "requirements":
      return runRequirements(projectId, documentText);
    case "assumptions":
    case "risks":
    case "inconsistencies":
      return runFindings(projectId);
    case "all":
      throw new Error("'all' must be expanded by the caller");
  }
}

async function runConcepts(projectId: string, documentText: string): Promise<RunOut> {
  const { version } = await loadProject(projectId);
  const { terms, definitions, inputTokens, outputTokens } = await analyzeConcepts(documentText);
  // Merge instead of replace — analyzer suggestions surface as a *review*.
  // The user keeps or discards each pending change; accepted state survives.
  await mergeTaxonomySuggestion(projectId, terms, version);
  if (definitions.length > 0) {
    // Definitions still apply only to "accepted" terms whose definition is
    // empty; mergeTaxonomySuggestion's gentle-update path keeps user-edited
    // definitions, but the dedicated patch is harmless for new terms.
    await applyGlossaryDefinitions(projectId, definitions);
  }
  return { inputTokens, outputTokens };
}

async function runModel(projectId: string, documentText: string): Promise<RunOut> {
  const { model: current } = await loadProject(projectId);
  const terms = await listTerms(projectId);
  const { model, termIdToBlockId, inputTokens, outputTokens } = await analyzeModelFromProse(
    documentText,
    terms.map(t => ({ id: t.id, label: t.label, linkedBlockId: t.linkedBlockId })),
    current
  );

  await replaceModel(projectId, model, "Analyze: model refresh");

  // Update term → block linkage based on what the analyzer linked.
  for (const [termId, blockId] of termIdToBlockId.entries()) {
    await linkTermToBlock(termId, blockId);
  }

  return { inputTokens, outputTokens };
}

async function runRequirements(projectId: string, documentText: string): Promise<RunOut> {
  const { version } = await loadProject(projectId);
  const terms = await listTerms(projectId);
  const { reqs, inputTokens, outputTokens } = await analyzeRequirements(
    documentText,
    terms.map(t => ({ id: t.id, label: t.label, linkedBlockId: t.linkedBlockId }))
  );
  await mergeRequirementsSuggestion(projectId, reqs, version);
  return { inputTokens, outputTokens };
}

async function runFindings(projectId: string): Promise<RunOut> {
  const { model, version } = await loadProject(projectId);
  const result = await detectFindings(model);

  // Cross-layer validation (T2): glue rules between terms and ontology.
  // Surfaced as inconsistency-kind findings keyed by validationCode = X*.
  const terms = await listTerms(projectId);
  const cross = crossValidate({
    model,
    terms: terms.map(t => ({ id: t.id, label: t.label, linkedBlockId: t.linkedBlockId })),
    // X4 needs prose-occurrence counts; left undefined here so it stays
    // off until we wire prose extraction. X1–X3 still fire.
  });
  const crossFindings: Finding[] = cross.map(issue => ({
    kind: "inconsistency",
    text: issue.message,
    linkedElementIds: anchorIds(issue.anchor),
    confidence: 1.0,
    severity: issue.severity === "warning" ? "medium" : "low",
    validationCode: issue.code,
  }));

  await mergeFindingsSuggestion(
    projectId,
    [...result.findings, ...crossFindings],
    version,
    result.provider,
    result.model
  );
  return { inputTokens: result.inputTokens, outputTokens: result.outputTokens };
}

function anchorIds(a: import("../../sysml/validate").IssueAnchor): string[] {
  if (a.kind === "model") return [];
  if (a.kind === "property") return [a.blockId];
  // T3: prefix term anchors with `term:` so consumers (FindingsPane,
  // TermDetail) can route them to the concept popover instead of the model.
  if (a.kind === "term") return [`term:${a.id}`];
  return [a.id];
}