// csvAutoDetect — holdings-CSV detection tests (Issue #245).
//
// Covers `autoDetectHoldingColumns` (column detection) and `analyzeHoldingsCsv`
// (delimiter/header + full analysis). These helpers are pure and DOM-free, in
// line with the project's "test the extracted pure pieces" convention. The
// numeric parsing + duplicate-merge path lives in `holdingsFromCsvRows`
// (tested in useSnapshotEditor.test.ts).

import { describe, it, expect } from "vitest";
import {
  autoDetectHoldingColumns,
  analyzeHoldingsCsv,
} from "./csvAutoDetect";

describe("autoDetectHoldingColumns (#245)", () => {
  it("detects symbol/quantity/price/book_cost from EN headers", () => {
    const data = [
      ["Symbol", "Quantity", "Price", "Book Cost"],
      ["AAPL", "10", "150.25", "1200.00"],
      ["MSFT", "5", "300.50", "1400.00"],
    ];
    expect(autoDetectHoldingColumns(data, true)).toEqual({
      symbol: 0,
      quantity: 1,
      unit_price: 2,
      book_cost: 3,
    });
  });

  it("leaves unit_price + book_cost null when the CSV has no such columns", () => {
    const data = [
      ["Symbol", "Shares"],
      ["AAPL", "10"],
      ["MSFT", "5"],
    ];
    const m = autoDetectHoldingColumns(data, true)!;
    expect(m.symbol).toBe(0);
    expect(m.quantity).toBe(1);
    expect(m.unit_price).toBeNull();
    expect(m.book_cost).toBeNull();
  });

  it("never maps a Value (qty×price) column to price or book_cost", () => {
    const data = [
      ["Symbol", "Quantity", "Price", "Value"],
      ["AAPL", "10", "150.25", "1502.50"],
      ["MSFT", "4", "300.50", "1202.00"],
    ];
    const m = autoDetectHoldingColumns(data, true)!;
    expect(m.symbol).toBe(0);
    expect(m.quantity).toBe(1);
    expect(m.unit_price).toBe(2);
    // The Value column (col 3) must NOT be picked up as the cost basis.
    expect(m.book_cost).toBeNull();
  });

  it("detects headerless CSVs positionally (symbol / int qty / decimal price)", () => {
    const data = [
      ["AAPL", "10", "150.25"],
      ["MSFT", "5", "300.50"],
      ["GOOG", "2", "140.10"],
    ];
    const m = autoDetectHoldingColumns(data, false)!;
    expect(m.symbol).toBe(0);
    expect(m.quantity).toBe(1);
    expect(m.unit_price).toBe(2);
  });

  it("returns null when there are no data rows", () => {
    expect(autoDetectHoldingColumns([], true)).toBeNull();
    expect(autoDetectHoldingColumns([["Symbol", "Qty"]], true)).toBeNull();
  });
});

describe("analyzeHoldingsCsv (#245)", () => {
  it("parses an EN comma CSV with a header row", () => {
    const csv = "Symbol,Quantity,Price\nAAPL,10,150.25\nMSFT,5,300.50\n";
    const a = analyzeHoldingsCsv(csv)!;
    expect(a.delimiter).toBe(",");
    expect(a.hasHeader).toBe(true);
    expect(a.headers).toEqual(["Symbol", "Quantity", "Price"]);
    expect(a.rows).toEqual([
      ["AAPL", "10", "150.25"],
      ["MSFT", "5", "300.50"],
    ]);
    expect(a.mapping).toEqual({
      symbol: 0,
      quantity: 1,
      unit_price: 2,
      book_cost: null,
    });
  });

  it("handles FR headers (accents), a semicolon delimiter and FR numbers", () => {
    const csv =
      "Symbole;Quantité;Cours;Coût\nAAPL;10;150,25;1 200,00\nMSFT;5;300,50;1 400,00\n";
    const a = analyzeHoldingsCsv(csv)!;
    expect(a.delimiter).toBe(";");
    expect(a.hasHeader).toBe(true);
    expect(a.mapping).toEqual({
      symbol: 0,
      quantity: 1,
      unit_price: 2,
      book_cost: 3,
    });
    expect(a.rows[0]).toEqual(["AAPL", "10", "150,25", "1 200,00"]);
  });

  it("returns generated headers + all rows for a headerless CSV", () => {
    const csv = "AAPL,10,150.25\nMSFT,5,300.50\nGOOG,2,140.10\n";
    const a = analyzeHoldingsCsv(csv)!;
    expect(a.hasHeader).toBe(false);
    expect(a.headers).toEqual(["Col 0", "Col 1", "Col 2"]);
    expect(a.rows).toHaveLength(3);
    expect(a.mapping.symbol).toBe(0);
    expect(a.mapping.quantity).toBe(1);
  });

  it("returns null on empty / whitespace-only content", () => {
    expect(analyzeHoldingsCsv("")).toBeNull();
    expect(analyzeHoldingsCsv("   \n  \n")).toBeNull();
  });
});