"""Tests for scripts/regenerate_md.py."""

from __future__ import annotations

import csv
import sys
from pathlib import Path

import pytest

sys.path.insert(0, str(Path(__file__).resolve().parent.parent))

from scripts.append_row import csv_columns  # noqa: E402
from scripts.regenerate_md import MD_COLUMNS, regenerate_md  # noqa: E402


def _row(**overrides: str) -> dict[str, str]:
    base = {
        "id": "1",
        "screenshot_file": "2026-05-13_dia_5min.png",
        "source": "vision",
        "data": "2026-05-13",
        "zi": "Mi",
        "ora_ro": "17:23",
        "ora_utc": "14:23",
        "instrument": "DIA",
        "directie": "long",
        "tf_mare": "5min",
        "tf_mic": "1min",
        "calitate": "Clară",
        "entry": "497.42",
        "sl": "496.80",
        "tp0": "497.67",
        "tp1": "497.79",
        "tp2": "498.04",
        "risc_pct": "0.50",
        "outcome_path": "TP0→TP1",
        "max_reached": "TP1",
        "be_moved": "true",
        "pl_marius": "0.5000",
        "pl_theoretical": "0.3330",
        "set": "A2",
        "indicator_version": "1",
        "pl_overlay_version": "1",
        "csv_schema_version": "1",
        "extracted_at": "2026-05-13T14:30:00Z",
        "note": "",
    }
    base.update(overrides)
    return base


def _write_csv(
    path: Path,
    rows: list[dict[str, str]],
    extra_columns: list[str] | None = None,
) -> None:
    fieldnames = csv_columns()
    if extra_columns:
        fieldnames = fieldnames + extra_columns
    with path.open("w", encoding="utf-8", newline="") as fh:
        writer = csv.DictWriter(fh, fieldnames=fieldnames)
        writer.writeheader()
        for r in rows:
            writer.writerow({k: r.get(k, "") for k in fieldnames})


def _data_lines(md_text: str) -> list[str]:
    header_prefix = "| " + MD_COLUMNS[0] + " | " + MD_COLUMNS[1]
    return [
        ln
        for ln in md_text.splitlines()
        if ln.startswith("|")
        and not ln.startswith(header_prefix)
        and not ln.startswith("|---")
    ]


def test_empty_csv_placeholder(tmp_path: Path) -> None:
    csv_p = tmp_path / "jurnal.csv"
    md_p = tmp_path / "jurnal.md"
    _write_csv(csv_p, [])

    n = regenerate_md(csv_p, md_p)

    assert n == 0
    content = md_p.read_text(encoding="utf-8")
    assert "# Jurnal M2D (auto-generated)" in content
    assert "Niciun trade încă" in content
    assert "| # |" not in content


def test_missing_csv_placeholder(tmp_path: Path) -> None:
    csv_p = tmp_path / "does_not_exist.csv"
    md_p = tmp_path / "jurnal.md"

    n = regenerate_md(csv_p, md_p)

    assert n == 0
    content = md_p.read_text(encoding="utf-8")
    assert "Niciun trade încă" in content
    assert md_p.exists()


def test_single_row_format(tmp_path: Path) -> None:
    csv_p = tmp_path / "jurnal.csv"
    md_p = tmp_path / "jurnal.md"
    _write_csv(csv_p, [_row()])

    n = regenerate_md(csv_p, md_p)

    assert n == 1
    content = md_p.read_text(encoding="utf-8")
    assert "# Jurnal M2D (auto-generated from data/jurnal.csv)" in content
    assert "Rows: 1" in content
    header_line = "| " + " | ".join(MD_COLUMNS) + " |"
    assert header_line in content
    rows = _data_lines(content)
    assert len(rows) == 1
    cells = [c.strip() for c in rows[0].strip("|").split("|")]
    assert cells[0] == "1"
    assert cells[1] == "2026-05-13"
    assert cells[2] == "Mi"
    assert cells[3] == "17:23"
    assert cells[4] == "A2"
    assert cells[5] == "DIA"
    assert cells[6] == "Buy"
    assert cells[7] == "Clară"
    assert cells[13] == "TP0→TP1"
    assert cells[14] == "+0.50"
    assert cells[15] == "+0.33"
    assert cells[16] == "vision"


def test_three_rows(tmp_path: Path) -> None:
    csv_p = tmp_path / "jurnal.csv"
    md_p = tmp_path / "jurnal.md"
    rows = [
        _row(id="3", data="2026-05-15", pl_marius="-1.0000"),
        _row(id="1", data="2026-05-13"),
        _row(id="2", data="2026-05-14", pl_marius="0.2000"),
    ]
    _write_csv(csv_p, rows)

    n = regenerate_md(csv_p, md_p)

    assert n == 3
    content = md_p.read_text(encoding="utf-8")
    assert "Rows: 3" in content
    data = _data_lines(content)
    assert len(data) == 3
    assert "| 1 | 2026-05-13 |" in data[0]
    assert "| 2 | 2026-05-14 |" in data[1]
    assert "| 3 | 2026-05-15 |" in data[2]


def test_pending_pl_displayed(tmp_path: Path) -> None:
    csv_p = tmp_path / "jurnal.csv"
    md_p = tmp_path / "jurnal.md"
    _write_csv(csv_p, [_row(pl_marius="", pl_theoretical="")])

    n = regenerate_md(csv_p, md_p)

    assert n == 1
    content = md_p.read_text(encoding="utf-8")
    rows = _data_lines(content)
    cells = [c.strip() for c in rows[0].strip("|").split("|")]
    assert cells[14] == "pending"
    assert cells[15] == "pending"


def test_unknown_column_graceful(
    tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
    csv_p = tmp_path / "jurnal.csv"
    md_p = tmp_path / "jurnal.md"
    _write_csv(csv_p, [_row()], extra_columns=["extra_field"])

    n = regenerate_md(csv_p, md_p)

    assert n == 1
    content = md_p.read_text(encoding="utf-8")
    assert "Rows: 1" in content
    captured = capsys.readouterr()
    assert "unknown CSV columns ignored" in captured.err
    assert "extra_field" in captured.err


def test_atomic_write_no_tmp_leftover(tmp_path: Path) -> None:
    csv_p = tmp_path / "jurnal.csv"
    md_p = tmp_path / "jurnal.md"
    _write_csv(csv_p, [_row()])

    regenerate_md(csv_p, md_p)

    leftovers = list(tmp_path.glob("*.tmp"))
    assert leftovers == []
    assert md_p.exists()


def test_rows_count_returned(tmp_path: Path) -> None:
    csv_p = tmp_path / "jurnal.csv"
    md_p = tmp_path / "jurnal.md"
    _write_csv(csv_p, [_row(id=str(i)) for i in range(1, 6)])

    n = regenerate_md(csv_p, md_p)

    assert n == 5