"""Newsline — start-page digest aggregation."""

from __future__ import annotations

import pytest
from sqlalchemy import create_engine

from psyc import db
from psyc.lines import ledger as ledger_line
from psyc.lines import news
from psyc.models import Outcome, Severity, TLP
from conftest import make_case


@pytest.fixture
def fresh_db(tmp_path, monkeypatch):
    test_db = tmp_path / "test.db"
    eng = create_engine(f"sqlite:///{test_db}", future=True)
    db._metadata.create_all(eng, checkfirst=True)
    monkeypatch.setattr(db, "_engine", eng)
    monkeypatch.setattr(db, "DB_PATH", test_db)
    yield test_db


def test_kpis_count_basic(fresh_db):
    # vary age_days so make_case() doesn't collide its case_id
    db.upsert_case(make_case(feed="urlhaus", urls=["http://1.1.1.1/x"], severity=Severity.LOW, age_days=1))
    db.upsert_case(make_case(feed="feodo",   ips=["2.2.2.2"],          severity=Severity.HIGH, age_days=0))
    db.upsert_case(make_case(feed="urlhaus", urls=["http://3.3.3.3/x"], severity=Severity.CRITICAL, age_days=2))
    k = news.kpis()
    assert k["cases"] == 3
    assert k["high_total"] == 2  # high + critical


def test_recent_items_interleaves_ledger_and_cases(fresh_db):
    c = make_case(feed="feodo", ips=["9.9.9.9"], severity=Severity.HIGH)
    db.upsert_case(c)
    ledger_line.write(
        case_id=c.case_id, destination="CERT-Bund", payload_hash="",
        submitter_identity="x", tlp=TLP.AMBER, outcome=Outcome.ACTIONED,
    )
    items = news.recent_items(limit=10)
    kinds = {i.kind for i in items}
    assert "case" in kinds
    assert "enforced" in kinds
    # newest-first ordering
    assert items == sorted(items, key=lambda i: i.timestamp, reverse=True)


def test_feed_health_groups_by_feed(fresh_db):
    db.upsert_case(make_case(feed="urlhaus", urls=["http://a/"], age_days=1))
    db.upsert_case(make_case(feed="urlhaus", urls=["http://b/"], age_days=2))
    db.upsert_case(make_case(feed="otx",     ips=["1.1.1.1"],   age_days=1))
    h = news.feed_health()
    by_feed = {f.feed: f for f in h}
    assert by_feed["urlhaus"].count == 2
    assert by_feed["otx"].count == 1
    # highest count first
    assert h[0].feed == "urlhaus"


def test_bucket_items_groups_by_recency(fresh_db):
    from datetime import datetime, timedelta, timezone
    now = datetime.now(timezone.utc)
    items = [
        news.NewsItem(timestamp=now,                       kind="case", headline="t1", body="", icon="•"),
        news.NewsItem(timestamp=now - timedelta(days=1),    kind="case", headline="t2", body="", icon="•"),
        news.NewsItem(timestamp=now - timedelta(days=3),    kind="case", headline="t3", body="", icon="•"),
        news.NewsItem(timestamp=now - timedelta(days=14),   kind="case", headline="t4", body="", icon="•"),
    ]
    labels = [b.label for b in news.bucket_items(items)]
    # all four buckets should appear, in chronological order
    assert labels == ["Today", "Yesterday", "Earlier this week", "Older"]


def test_featured_case_picks_highest_severity(fresh_db):
    db.upsert_case(make_case(feed="urlhaus", urls=["http://1.1.1.1/x"], severity=Severity.LOW,      age_days=0))
    db.upsert_case(make_case(feed="urlhaus", urls=["http://2.2.2.2/x"], severity=Severity.HIGH,     age_days=1))
    db.upsert_case(make_case(feed="urlhaus", urls=["http://3.3.3.3/x"], severity=Severity.CRITICAL, age_days=2))
    f = news.featured_case()
    assert f is not None
    assert f.classification.severity is Severity.CRITICAL


def test_featured_case_none_when_nothing_high(fresh_db):
    db.upsert_case(make_case(feed="urlhaus", urls=["http://1.1.1.1/x"], severity=Severity.LOW,    age_days=0))
    db.upsert_case(make_case(feed="urlhaus", urls=["http://2.2.2.2/x"], severity=Severity.MEDIUM, age_days=1))
    assert news.featured_case() is None


def test_outcome_kinds_match_render_map(fresh_db):
    # Every Outcome should produce a NewsItem (no KeyError).
    c = make_case(feed="urlhaus", ips=["1.2.3.4"])
    db.upsert_case(c)
    for outcome in Outcome:
        ledger_line.write(
            case_id=c.case_id, destination="X", payload_hash="",
            submitter_identity="x", tlp=TLP.AMBER, outcome=outcome,
        )
    items = news.recent_items(limit=200)
    # at least one item per outcome we wrote
    assert len([i for i in items if i.kind != "case"]) >= len(list(Outcome))