"""Unit + integration tests for the LLM-fallback CSV parser."""
from __future__ import annotations

import pytest


def test_csv_format_template_model_columns():
    """Model exposes every column the spec requires, with correct types."""
    from sqlalchemy import inspect

    from app.models import CsvFormatTemplate

    cols = {c.name: c for c in inspect(CsvFormatTemplate).columns}
    assert "fingerprint" in cols
    assert "headers" in cols
    assert "sample_row" in cols
    assert "mapping" in cols
    assert "preamble_rows" in cols
    assert "delimiter" in cols
    assert "broker_label" in cols
    assert "first_seen_at" in cols
    assert "use_count" in cols
    assert "last_used_at" in cols
    assert "llm_model" in cols
    assert "llm_cost_usd" in cols
    # Crucially, no user attribution.
    assert "user_id" not in cols
    assert "first_seen_user_id" not in cols
    # Fingerprint is the cache key.
    assert cols["fingerprint"].unique is True
    assert cols["fingerprint"].nullable is False


def test_fingerprint_stable_across_case_and_whitespace():
    from app.services.llm_csv_parser import _fingerprint

    a = _fingerprint(["Symbol", "Quantity", "Avg Price"])
    b = _fingerprint(["symbol", "quantity", "avg price"])
    c = _fingerprint(["  SYMBOL ", "Quantity", " AVG PRICE"])
    assert a == b == c


def test_fingerprint_differs_for_different_columns():
    from app.services.llm_csv_parser import _fingerprint

    a = _fingerprint(["Symbol", "Quantity"])
    b = _fingerprint(["Symbol", "Quantity", "Avg Price"])
    assert a != b


def test_fingerprint_is_sha256_hex_64_chars():
    from app.services.llm_csv_parser import _fingerprint

    f = _fingerprint(["Symbol", "Quantity"])
    assert len(f) == 64
    assert all(c in "0123456789abcdef" for c in f)