# SPDX-License-Identifier: GPL-3.0-or-later
#
# This file is part of Nominatim. (https://nominatim.org)
#
# Copyright (C) 2024 by the Nominatim developer community.
# For a full list of authors see the git log.
"""
Specialised connection and cursor functions.
"""
from typing import Optional, Any, Dict, Tuple
import logging
import os

import psycopg
import psycopg.types.hstore
from psycopg import sql as pysql

from ..typing import SysEnv
from ..errors import UsageError

LOG = logging.getLogger()

Cursor = psycopg.Cursor[Any]
Connection = psycopg.Connection[Any]

def execute_scalar(conn: Connection, sql: psycopg.abc.Query, args: Any = None) -> Any:
    """ Execute query that returns a single value. The value is returned.
        If the query yields more than one row, a ValueError is raised.
    """
    with conn.cursor(row_factory=psycopg.rows.tuple_row) as cur:
        cur.execute(sql, args)

        if cur.rowcount != 1:
            raise RuntimeError("Query did not return a single row.")

        result = cur.fetchone()

    assert result is not None
    return result[0]


def table_exists(conn: Connection, table: str) -> bool:
    """ Check that a table with the given name exists in the database.
    """
    num = execute_scalar(conn,
            """SELECT count(*) FROM pg_tables
               WHERE tablename = %s and schemaname = 'public'""", (table, ))
    return num == 1 if isinstance(num, int) else False


def table_has_column(conn: Connection, table: str, column: str) -> bool:
    """ Check if the table 'table' exists and has a column with name 'column'.
    """
    has_column = execute_scalar(conn,
                    """SELECT count(*) FROM information_schema.columns
                       WHERE table_name = %s and column_name = %s""",
                    (table, column))
    return has_column > 0 if isinstance(has_column, int) else False


def index_exists(conn: Connection, index: str, table: Optional[str] = None) -> bool:
    """ Check that an index with the given name exists in the database.
        If table is not None then the index must relate to the given
        table.
    """
    with conn.cursor() as cur:
        cur.execute("""SELECT tablename FROM pg_indexes
                       WHERE indexname = %s and schemaname = 'public'""", (index, ))
        if cur.rowcount == 0:
            return False

        if table is not None:
            row = cur.fetchone()
            if row is None or not isinstance(row[0], str):
                return False
            return row[0] == table

    return True

def drop_tables(conn: Connection, *names: str,
               if_exists: bool = True, cascade: bool = False) -> None:
    """ Drop one or more tables with the given names.
        Set `if_exists` to False if a non-existent table should raise
        an exception instead of just being ignored. `cascade` will cause
        depended objects to be dropped as well.
        The caller needs to take care of committing the change.
    """
    sql = pysql.SQL('DROP TABLE%s{}%s' % (
                        ' IF EXISTS ' if if_exists else ' ',
                        ' CASCADE' if cascade else ''))

    with conn.cursor() as cur:
        for name in names:
            cur.execute(sql.format(pysql.Identifier(name)))


def server_version_tuple(conn: Connection) -> Tuple[int, int]:
    """ Return the server version as a tuple of (major, minor).
        Converts correctly for pre-10 and post-10 PostgreSQL versions.
    """
    version = conn.info.server_version
    if version < 100000:
        return (int(version / 10000), int((version % 10000) / 100))

    return (int(version / 10000), version % 10000)


def postgis_version_tuple(conn: Connection) -> Tuple[int, int]:
    """ Return the postgis version installed in the database as a
        tuple of (major, minor). Assumes that the PostGIS extension
        has been installed already.
    """
    version = execute_scalar(conn, 'SELECT postgis_lib_version()')

    version_parts = version.split('.')
    if len(version_parts) < 2:
        raise UsageError(f"Error fetching Postgis version. Bad format: {version}")

    return (int(version_parts[0]), int(version_parts[1]))


def register_hstore(conn: Connection) -> None:
    """ Register the hstore type with psycopg for the connection.
    """
    info = psycopg.types.TypeInfo.fetch(conn, "hstore")
    if info is None:
        raise RuntimeError('Hstore extension is requested but not installed.')
    psycopg.types.hstore.register_hstore(info, conn)


def connect(dsn: str, **kwargs: Any) -> Connection:
    """ Open a connection to the database using the specialised connection
        factory. The returned object may be used in conjunction with 'with'.
        When used outside a context manager, use the `connection` attribute
        to get the connection.
    """
    try:
        return psycopg.connect(dsn, row_factory=psycopg.rows.namedtuple_row, **kwargs)
    except psycopg.OperationalError as err:
        raise UsageError(f"Cannot connect to database: {err}") from err


# Translation from PG connection string parameters to PG environment variables.
# Derived from https://www.postgresql.org/docs/current/libpq-envars.html.
_PG_CONNECTION_STRINGS = {
    'host': 'PGHOST',
    'hostaddr': 'PGHOSTADDR',
    'port': 'PGPORT',
    'dbname': 'PGDATABASE',
    'user': 'PGUSER',
    'password': 'PGPASSWORD',
    'passfile': 'PGPASSFILE',
    'channel_binding': 'PGCHANNELBINDING',
    'service': 'PGSERVICE',
    'options': 'PGOPTIONS',
    'application_name': 'PGAPPNAME',
    'sslmode': 'PGSSLMODE',
    'requiressl': 'PGREQUIRESSL',
    'sslcompression': 'PGSSLCOMPRESSION',
    'sslcert': 'PGSSLCERT',
    'sslkey': 'PGSSLKEY',
    'sslrootcert': 'PGSSLROOTCERT',
    'sslcrl': 'PGSSLCRL',
    'requirepeer': 'PGREQUIREPEER',
    'ssl_min_protocol_version': 'PGSSLMINPROTOCOLVERSION',
    'ssl_max_protocol_version': 'PGSSLMAXPROTOCOLVERSION',
    'gssencmode': 'PGGSSENCMODE',
    'krbsrvname': 'PGKRBSRVNAME',
    'gsslib': 'PGGSSLIB',
    'connect_timeout': 'PGCONNECT_TIMEOUT',
    'target_session_attrs': 'PGTARGETSESSIONATTRS',
}


def get_pg_env(dsn: str,
               base_env: Optional[SysEnv] = None) -> Dict[str, str]:
    """ Return a copy of `base_env` with the environment variables for
        PostgreSQL set up from the given database connection string.
        If `base_env` is None, then the OS environment is used as a base
        environment.
    """
    env = dict(base_env if base_env is not None else os.environ)

    for param, value in psycopg.conninfo.conninfo_to_dict(dsn).items():
        if param in _PG_CONNECTION_STRINGS:
            env[_PG_CONNECTION_STRINGS[param]] = str(value)
        else:
            LOG.error("Unknown connection parameter '%s' ignored.", param)

    return env


async def run_async_query(dsn: str, query: psycopg.abc.Query) -> None:
    """ Open a connection to the database and run a single query
        asynchronously.
    """
    async with await psycopg.AsyncConnection.connect(dsn) as aconn:
        await aconn.execute(query)