"""Glean pipeline: auto-detect format, parse, write to SQLite."""
from __future__ import annotations

import json
import logging
import re
import sqlite3
from pathlib import Path
from typing import Iterator

import yaml

from app.glean import caddy, dmesg_log, docker_log, journald, plaintext, plex, qbittorrent, servarr, syslog, wazuh
from app.glean.base import _compile, load_patterns, now_iso
from app.glean.ssh import (
    SSHTransport,
    SSHConnectionError,
    SSHCommandError,
    _build_docker_command,
    _build_journald_command,
    _build_plaintext_command,
    _build_syslog_command,
)
from app.services.models import LogPattern, RetrievedEntry
from app.services.search import build_fts_index

logger = logging.getLogger(__name__)

_SCHEMA = """
CREATE TABLE IF NOT EXISTS log_entries (
    id              TEXT PRIMARY KEY,
    source_id       TEXT NOT NULL,
    sequence        INTEGER NOT NULL,
    timestamp_raw   TEXT,
    timestamp_iso   TEXT,
    ingest_time     TEXT NOT NULL,
    severity        TEXT,
    repeat_count    INTEGER DEFAULT 1,
    out_of_order    INTEGER DEFAULT 0,
    matched_patterns TEXT DEFAULT '[]',
    text            TEXT NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_source      ON log_entries(source_id);
CREATE INDEX IF NOT EXISTS idx_timestamp   ON log_entries(timestamp_iso);
CREATE INDEX IF NOT EXISTS idx_ts_repeat   ON log_entries(timestamp_iso, repeat_count);
CREATE INDEX IF NOT EXISTS idx_severity    ON log_entries(severity);
CREATE INDEX IF NOT EXISTS idx_patterns    ON log_entries(matched_patterns);

CREATE TABLE IF NOT EXISTS incidents (
    id          TEXT PRIMARY KEY,
    label       TEXT NOT NULL,
    issue_type  TEXT NOT NULL DEFAULT '',
    started_at  TEXT,
    ended_at    TEXT,
    notes       TEXT NOT NULL DEFAULT '',
    created_at  TEXT NOT NULL,
    severity    TEXT NOT NULL DEFAULT 'medium'
);
CREATE INDEX IF NOT EXISTS idx_incidents_time ON incidents(started_at, ended_at);

CREATE TABLE IF NOT EXISTS received_bundles (
    id          TEXT PRIMARY KEY,
    source_host TEXT NOT NULL,
    issue_type  TEXT NOT NULL DEFAULT '',
    label       TEXT NOT NULL,
    severity    TEXT NOT NULL DEFAULT 'medium',
    started_at  TEXT,
    bundled_at  TEXT NOT NULL,
    entry_count INTEGER NOT NULL DEFAULT 0,
    bundle_json TEXT NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_bundles_bundled ON received_bundles(bundled_at);
CREATE INDEX IF NOT EXISTS idx_bundles_type    ON received_bundles(issue_type);

CREATE TABLE IF NOT EXISTS context_facts (
    id           TEXT PRIMARY KEY,
    category     TEXT NOT NULL,
    key          TEXT NOT NULL,
    value        TEXT NOT NULL,
    source       TEXT,
    created_at   TEXT NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_facts_category ON context_facts(category);
CREATE INDEX IF NOT EXISTS idx_facts_key      ON context_facts(key);

CREATE TABLE IF NOT EXISTS context_documents (
    id           TEXT PRIMARY KEY,
    filename     TEXT NOT NULL,
    doc_type     TEXT NOT NULL,
    full_text    TEXT NOT NULL,
    file_size    INTEGER,
    uploaded_at  TEXT NOT NULL
);

CREATE TABLE IF NOT EXISTS context_chunks (
    id           TEXT PRIMARY KEY,
    document_id  TEXT NOT NULL REFERENCES context_documents(id) ON DELETE CASCADE,
    chunk_index  INTEGER NOT NULL,
    text         TEXT NOT NULL,
    embedding    BLOB
);
CREATE INDEX IF NOT EXISTS idx_chunks_doc ON context_chunks(document_id);

CREATE TABLE IF NOT EXISTS blocklist_candidates (
    id                 TEXT PRIMARY KEY,
    domain_or_ip       TEXT NOT NULL,
    source_device_ip   TEXT,
    source_device_name TEXT,
    first_seen         TEXT NOT NULL,
    last_seen          TEXT NOT NULL,
    hit_count          INTEGER DEFAULT 1,
    status             TEXT DEFAULT 'pending',
    pushed_at          TEXT,
    log_evidence       TEXT DEFAULT '[]',
    matched_rule       TEXT,
    llm_score          REAL,
    llm_reason         TEXT
);
CREATE INDEX IF NOT EXISTS idx_blocklist_device ON blocklist_candidates(source_device_ip);
CREATE INDEX IF NOT EXISTS idx_blocklist_status ON blocklist_candidates(status);
CREATE INDEX IF NOT EXISTS idx_blocklist_domain ON blocklist_candidates(domain_or_ip);
"""


def ensure_schema(db_path: Path) -> None:
    """Create all tables and apply additive migrations. Safe to call on every startup."""
    conn = sqlite3.connect(str(db_path))
    conn.execute("PRAGMA journal_mode=WAL")
    conn.executescript(_SCHEMA)
    # Additive column migrations — ALTER TABLE silently skips if column exists
    for stmt in [
        "ALTER TABLE incidents ADD COLUMN issue_type TEXT NOT NULL DEFAULT ''",
    ]:
        try:
            conn.execute(stmt)
        except sqlite3.OperationalError:
            pass
    conn.commit()
    conn.close()


def _detect_format(first_line: str) -> str:
    try:
        obj = json.loads(first_line)
        if "__REALTIME_TIMESTAMP" in obj:
            return "journald"
        if "SOURCE" in obj and str(obj.get("SOURCE", "")).startswith("docker:"):
            return "docker"
        if wazuh.is_wazuh_alert(obj):
            return "wazuh"
        if "ts" in obj and ("msg" in obj or "message" in obj or "request" in obj):
            return "caddy"
    except (json.JSONDecodeError, AttributeError):
        pass
    if plex.is_plex_log(first_line):
        return "plex"
    if qbittorrent.is_qbit_log(first_line):
        return "qbittorrent"
    if servarr.is_servarr_log(first_line):
        return "servarr"
    if dmesg_log.is_dmesg_log(first_line):
        return "dmesg"
    if syslog.is_syslog(first_line):
        return "syslog"
    return "plaintext"


def _parse_file(
    path: Path,
    compiled: list[tuple[LogPattern, object]],
    ingest_time: str,
    source_id: str | None = None,
) -> Iterator[RetrievedEntry]:
    source_id = source_id or path.stem

    with path.open("r", errors="replace") as f:
        lines = iter(f)
        try:
            first = next(lines)
        except StopIteration:
            return

        fmt = _detect_format(first.strip())
        logger.info("Detected format %r for %s", fmt, path.name)

        def all_lines():
            yield first
            yield from lines

        if fmt == "journald":
            yield from journald.parse(all_lines(), source_id, compiled, ingest_time)
        elif fmt == "wazuh":
            yield from wazuh.parse(all_lines(), source_id, compiled, ingest_time)
        elif fmt == "docker":
            yield from docker_log.parse(all_lines(), source_id, compiled, ingest_time)
        elif fmt == "caddy":
            yield from caddy.parse(all_lines(), source_id, compiled, ingest_time)
        elif fmt == "plex":
            yield from plex.parse(all_lines(), source_id, compiled, ingest_time)
        elif fmt == "qbittorrent":
            yield from qbittorrent.parse(all_lines(), source_id, compiled, ingest_time)
        elif fmt == "servarr":
            yield from servarr.parse(all_lines(), source_id, compiled, ingest_time)
        elif fmt == "dmesg":
            yield from dmesg_log.parse(all_lines(), source_id, compiled, ingest_time)
        elif fmt == "syslog":
            yield from syslog.parse(all_lines(), source_id, compiled, ingest_time)
        else:
            yield from plaintext.parse(all_lines(), source_id, compiled, ingest_time)


def _write_batch(conn: sqlite3.Connection, batch: list[RetrievedEntry]) -> None:
    conn.executemany(
        """
        INSERT OR IGNORE INTO log_entries
          (id, source_id, sequence, timestamp_raw, timestamp_iso,
           ingest_time, severity, repeat_count, out_of_order,
           matched_patterns, text)
        VALUES (?,?,?,?,?,?,?,?,?,?,?)
        """,
        [
            (
                e.entry_id, e.source_id, e.sequence,
                e.timestamp_raw, e.timestamp_iso, e.ingest_time,
                e.severity, e.repeat_count, int(e.out_of_order),
                json.dumps(list(e.matched_patterns)), e.text,
            )
            for e in batch
        ],
    )


def _glean_files(
    files: list[Path],
    db_path: Path,
    pattern_file: Path | None = None,
    batch_size: int = 1000,
    source_id_map: dict[Path, str] | None = None,
) -> dict[str, int]:
    pattern_file = pattern_file or Path("patterns/default.yaml")
    patterns = load_patterns(pattern_file)
    compiled = _compile(patterns)
    ingest_time = now_iso()
    source_id_map = source_id_map or {}

    conn = sqlite3.connect(str(db_path))
    conn.execute("PRAGMA journal_mode=WAL")
    conn.executescript(_SCHEMA)
    conn.commit()

    stats: dict[str, int] = {}

    for log_file in files:
        source_id = source_id_map.get(log_file, log_file.stem)
        count = 0
        batch: list[RetrievedEntry] = []
        for entry in _parse_file(log_file, compiled, ingest_time, source_id=source_id):
            batch.append(entry)
            if len(batch) >= batch_size:
                _write_batch(conn, batch)
                conn.commit()
                count += len(batch)
                batch.clear()
        if batch:
            _write_batch(conn, batch)
            conn.commit()
            count += len(batch)
        stats[source_id] = stats.get(source_id, 0) + count
        logger.info("Gleaned %d entries from %s (source: %s)", count, log_file.name, source_id)

    conn.close()

    logger.info("Building FTS index...")
    build_fts_index(db_path)
    logger.info("FTS index ready")

    return stats


def _stream_and_write(
    transport: SSHTransport,
    cmd: str,
    parser,
    source_id: str,
    compiled: list[tuple[LogPattern, object]],
    ingest_time: str,
    conn: sqlite3.Connection,
    batch_size: int,
) -> int:
    """Stream *cmd* output through *parser* and write entries to *conn*.

    Catches SSHCommandError per-item so one bad command doesn't abort the rest
    of the glean items for this host.  Returns the number of entries written.
    """
    count = 0
    batch: list[RetrievedEntry] = []
    try:
        for entry in parser(transport.exec_stream(cmd), source_id, compiled, ingest_time):
            batch.append(entry)
            if len(batch) >= batch_size:
                _write_batch(conn, batch)
                conn.commit()
                count += len(batch)
                batch.clear()
        if batch:
            _write_batch(conn, batch)
            conn.commit()
            count += len(batch)
    except SSHCommandError as exc:
        logger.warning("SSH command failed for source %r (cmd: %s): %s", source_id, cmd, exc)
    logger.info("Gleaned %d entries from SSH source %s", count, source_id)
    return count


def _glean_ssh_source(
    src: dict,  # type: ignore[type-arg]
    compiled: list[tuple[LogPattern, object]],
    ingest_time: str,
    conn: sqlite3.Connection,
    batch_size: int,
) -> dict[str, int]:
    """Open one SSHTransport connection for *src* and glean all its glean items.

    One SSH connection is shared across all items in the ``glean:`` list so
    the handshake overhead is paid only once per host per glean run.

    Returns a stats dict mapping ``{source_id: entry_count}`` for each item.
    Gracefully skips the entire source on SSHConnectionError.
    """
    host_id = src.get("id", src.get("host", "unknown"))
    host = src["host"]
    user = src["user"]
    key_path = str(Path(src["key_path"]).expanduser())
    port = int(src.get("port", 22))
    glean_items: list[dict] = src.get("glean", [])  # type: ignore[type-arg]

    stats: dict[str, int] = {}

    try:
        with SSHTransport(host=host, user=user, key_path=key_path, port=port) as t:
            for item in glean_items:
                item_type = item.get("type", "plaintext")
                # Per-item source_id — falls back to host_id/type for un-labelled items
                item_id = item.get("id") or f"{host_id}/{item_type}"

                if item_type == "journald":
                    cmd = _build_journald_command(item)
                    count = _stream_and_write(
                        t, cmd, journald.parse, item_id, compiled, ingest_time, conn, batch_size
                    )
                    stats[item_id] = stats.get(item_id, 0) + count

                elif item_type == "syslog":
                    cmd = _build_syslog_command(item)
                    count = _stream_and_write(
                        t, cmd, syslog.parse, item_id, compiled, ingest_time, conn, batch_size
                    )
                    stats[item_id] = stats.get(item_id, 0) + count

                elif item_type == "plaintext":
                    cmd = _build_plaintext_command(item)
                    count = _stream_and_write(
                        t, cmd, plaintext.parse, item_id, compiled, ingest_time, conn, batch_size
                    )
                    stats[item_id] = stats.get(item_id, 0) + count

                elif item_type == "docker":
                    cmds = _build_docker_command(item)
                    if isinstance(cmds, str):
                        cmds = [cmds]
                    containers: list[str] = item.get("containers", [])
                    for i, cmd in enumerate(cmds):
                        # Use the container name as the final path segment when available
                        container_name = containers[i] if i < len(containers) else str(i)
                        container_id = f"{item_id}/{container_name}" if len(cmds) > 1 else item_id
                        count = _stream_and_write(
                            t, cmd, docker_log.parse, container_id,
                            compiled, ingest_time, conn, batch_size,
                        )
                        stats[container_id] = stats.get(container_id, 0) + count

                else:
                    logger.warning(
                        "Unknown SSH glean type %r for source %r — skipping item",
                        item_type, host_id,
                    )

    except SSHConnectionError as exc:
        logger.warning("SSH connection failed for source %r: %s", host_id, exc)

    return stats


def glean_dir(
    corpus_dir: Path,
    db_path: Path,
    pattern_file: Path | None = None,
    batch_size: int = 1000,
) -> dict[str, int]:
    """Glean all .jsonl and .log files from a corpus directory."""
    files = sorted(corpus_dir.glob("*.jsonl")) + sorted(corpus_dir.glob("*.log"))
    return _glean_files(files, db_path, pattern_file, batch_size)


def glean_file(
    log_file: Path,
    db_path: Path,
    pattern_file: Path | None = None,
) -> dict[str, int]:
    """Glean a single log file (any supported format)."""
    return _glean_files([log_file], db_path, pattern_file)


def glean_sources(
    sources_file: Path,
    db_path: Path,
    pattern_file: Path | None = None,
    batch_size: int = 1000,
) -> dict[str, int]:
    """Glean all sources listed in a sources.yaml config file.

    Supports two source types:

    Local file sources (default):
        sources:
          - id: sonarr
            path: /opt/sonarr/config/logs/sonarr.0.txt

    SSH remote sources (transport: ssh):
        sources:
          - id: rack01
            transport: ssh
            host: 192.168.1.10
            user: admin
            key_path: ~/.ssh/id_ed25519
            glean:
              - type: journald
                args: ["--since", "2 hours ago"]
              - type: syslog
                path: /var/log/syslog
              - type: plaintext
                path: /var/log/app/error.log
              - type: docker
                containers: [myapp, nginx]

    Missing local paths and SSH connection failures are logged as warnings
    so the cron keeps running when a source is temporarily down.
    """
    with open(sources_file) as f:
        config = yaml.safe_load(f)

    local_sources: list[dict] = []  # type: ignore[type-arg]
    ssh_sources: list[dict] = []    # type: ignore[type-arg]

    for src in config.get("sources", []):
        if src.get("transport") == "ssh":
            ssh_sources.append(src)
        else:
            local_sources.append(src)

    # ── Local file sources ─────────────────────────────────────────────────
    files: list[Path] = []
    source_id_map: dict[Path, str] = {}

    for src in local_sources:
        path = Path(src["path"])
        if not path.exists():
            logger.warning("Source %r not found, skipping: %s", src.get("id", "?"), path)
            continue
        files.append(path)
        if "id" in src:
            source_id_map[path] = src["id"]

    if not files and not ssh_sources:
        logger.warning("No sources found — check sources.yaml paths")
        return {}

    stats: dict[str, int] = {}
    if files:
        stats.update(_glean_files(files, db_path, pattern_file, batch_size, source_id_map))

    # ── SSH remote sources ─────────────────────────────────────────────────
    if not ssh_sources:
        return stats

    # Compile patterns once, share across all SSH sources in this run.
    effective_pattern_file = pattern_file or Path("patterns/default.yaml")
    compiled = _compile(load_patterns(effective_pattern_file))
    ingest_time = now_iso()

    conn = sqlite3.connect(str(db_path))
    conn.execute("PRAGMA journal_mode=WAL")
    conn.executescript(_SCHEMA)
    conn.commit()

    try:
        for src in ssh_sources:
            ssh_stats = _glean_ssh_source(src, compiled, ingest_time, conn, batch_size)
            for k, v in ssh_stats.items():
                stats[k] = stats.get(k, 0) + v
    finally:
        conn.close()

    # Rebuild FTS only when SSH sources added entries (_glean_files already
    # rebuilds when local sources are present; safe to call again if both ran).
    if ssh_sources:
        logger.info("Rebuilding FTS index after SSH glean...")
        build_fts_index(db_path)

    return stats