# -*- coding: utf-8 -*-

import os
from sys import stdout
from collections import OrderedDict
from contextlib import contextmanager
from inspect import isclass

import tablib
from docopt import docopt
from sqlalchemy import create_engine, exc, inspect, text


def isexception(obj):
    """Given an object, return a boolean indicating whether it is an instance
    or subclass of :py:class:`Exception`.
    """
    if isinstance(obj, Exception):
        return True
    if isclass(obj) and issubclass(obj, Exception):
        return True
    return False


class Record(object):
    """A row, from a query, from a database."""
    __slots__ = ('_keys', '_values')

    def __init__(self, keys, values):
        self._keys = keys
        self._values = values

        # Ensure that lengths match properly.
        assert len(self._keys) == len(self._values)

    def keys(self):
        """Returns the list of column names from the query."""
        return self._keys

    def values(self):
        """Returns the list of values from the query."""
        return self._values

    def __repr__(self):
        return '<Record {}>'.format(self.export('json')[1:-1])

    def __getitem__(self, key):
        # Support for index-based lookup.
        if isinstance(key, int):
            return self.values()[key]

        # Support for string-based lookup.
        usekeys = self.keys()
        if hasattr(usekeys, "_keys"): # sqlalchemy 2.x uses (result.RMKeyView which has wrapped _keys as list)
            usekeys = usekeys._keys
        if key in usekeys:
            i = usekeys.index(key)
            if usekeys.count(key) > 1:
                raise KeyError("Record contains multiple '{}' fields.".format(key))
            return self.values()[i]

        raise KeyError("Record contains no '{}' field.".format(key))

    def __getattr__(self, key):
        try:
            return self[key]
        except KeyError as e:
            raise AttributeError(e)

    def __dir__(self):
        standard = dir(super(Record, self))
        # Merge standard attrs with generated ones (from column names).
        return sorted(standard + [str(k) for k in self.keys()])

    def get(self, key, default=None):
        """Returns the value for a given key, or default."""
        try:
            return self[key]
        except KeyError:
            return default

    def as_dict(self, ordered=False):
        """Returns the row as a dictionary, as ordered."""
        items = zip(self.keys(), self.values())

        return OrderedDict(items) if ordered else dict(items)

    @property
    def dataset(self):
        """A Tablib Dataset containing the row."""
        data = tablib.Dataset()
        data.headers = self.keys()

        row = _reduce_datetimes(self.values())
        data.append(row)

        return data

    def export(self, format, **kwargs):
        """Exports the row to the given format."""
        return self.dataset.export(format, **kwargs)


class RecordCollection(object):
    """A set of excellent Records from a query."""
    def __init__(self, rows):
        self._rows = rows
        self._all_rows = []
        self.pending = True

    def __repr__(self):
        return '<RecordCollection size={} pending={}>'.format(len(self), self.pending)

    def __iter__(self):
        """Iterate over all rows, consuming the underlying generator
        only when necessary."""
        i = 0
        while True:
            # Other code may have iterated between yields,
            # so always check the cache.
            if i < len(self):
                yield self[i]
            else:
                # Throws StopIteration when done.
                # Prevent StopIteration bubbling from generator, following https://www.python.org/dev/peps/pep-0479/
                try:
                    yield next(self)
                except StopIteration:
                    return
            i += 1

    def next(self):
        return self.__next__()

    def __next__(self):
        try:
            nextrow = next(self._rows)
            self._all_rows.append(nextrow)
            return nextrow
        except StopIteration:
            self.pending = False
            raise StopIteration('RecordCollection contains no more rows.')

    def __getitem__(self, key):
        is_int = isinstance(key, int)

        # Convert RecordCollection[1] into slice.
        if is_int:
            key = slice(key, key + 1)

        while key.stop is None or len(self) < key.stop:
            try:
                next(self)
            except StopIteration:
                break

        rows = self._all_rows[key]
        if is_int:
            return rows[0]
        else:
            return RecordCollection(iter(rows))

    def __len__(self):
        return len(self._all_rows)

    def export(self, format, **kwargs):
        """Export the RecordCollection to a given format (courtesy of Tablib)."""
        return self.dataset.export(format, **kwargs)

    @property
    def dataset(self):
        """A Tablib Dataset representation of the RecordCollection."""
        # Create a new Tablib Dataset.
        data = tablib.Dataset()

        # If the RecordCollection is empty, just return the empty set
        # Check number of rows by typecasting to list
        if len(list(self)) == 0:
            return data

        # Set the column names as headers on Tablib Dataset.
        first = self[0]

        data.headers = first.keys()
        for row in self.all():
            row = _reduce_datetimes(row.values())
            data.append(row)

        return data

    def all(self, as_dict=False, as_ordereddict=False):
        """Returns a list of all rows for the RecordCollection. If they haven't
        been fetched yet, consume the iterator and cache the results."""

        # By calling list it calls the __iter__ method
        rows = list(self)

        if as_dict:
            return [r.as_dict() for r in rows]
        elif as_ordereddict:
            return [r.as_dict(ordered=True) for r in rows]

        return rows

    def as_dict(self, ordered=False):
        return self.all(as_dict=not(ordered), as_ordereddict=ordered)

    def first(self, default=None, as_dict=False, as_ordereddict=False):
        """Returns a single record for the RecordCollection, or `default`. If
        `default` is an instance or subclass of Exception, then raise it
        instead of returning it."""

        # Try to get a record, or return/raise default.
        try:
            record = self[0]
        except IndexError:
            if isexception(default):
                raise default
            return default

        # Cast and return.
        if as_dict:
            return record.as_dict()
        elif as_ordereddict:
            return record.as_dict(ordered=True)
        else:
            return record

    def one(self, default=None, as_dict=False, as_ordereddict=False):
        """Returns a single record for the RecordCollection, ensuring that it
        is the only record, or returns `default`. If `default` is an instance
        or subclass of Exception, then raise it instead of returning it."""

        # Ensure that we don't have more than one row.
        try:
            self[1]
        except IndexError:
            return self.first(default=default, as_dict=as_dict, as_ordereddict=as_ordereddict)
        else:
            raise ValueError('RecordCollection contained more than one row. '
                             'Expects only one row when using '
                             'RecordCollection.one')

    def scalar(self, default=None):
        """Returns the first column of the first row, or `default`."""
        row = self.one()
        return row[0] if row else default


class Database(object):
    """A Database. Encapsulates a url and an SQLAlchemy engine with a pool of
    connections.
    """

    def __init__(self, db_url=None, **kwargs):
        # If no db_url was provided, fallback to $DATABASE_URL.
        self.db_url = db_url or os.environ.get('DATABASE_URL')

        if not self.db_url:
            raise ValueError('You must provide a db_url.')

        # Create an engine.
        self._engine = create_engine(self.db_url, **kwargs)
        self.open = True
        
    def get_engine(self):
        # Return the engine if open
         if not self.open:
            raise exc.ResourceClosedError('Database closed.')
        return self._engine
        
    def close(self):
        """Closes the Database."""
        self._engine.dispose()
        self.open = False

    def __enter__(self):
        return self

    def __exit__(self, exc, val, traceback):
        self.close()

    def __repr__(self):
        return '<Database open={}>'.format(self.open)

    def get_table_names(self, internal=False, **kwargs):
        """Returns a list of table names for the connected database."""

        # Setup SQLAlchemy for Database inspection.
        return inspect(self._engine).get_table_names(**kwargs)

    def get_connection(self, close_with_result=False):
        """Get a connection to this Database. Connections are retrieved from a
        pool.
        """
        if not self.open:
            raise exc.ResourceClosedError('Database closed.')

        return Connection(self._engine.connect(close_with_result=close_with_result), close_with_result)

    def query(self, query, fetchall=False, **params):
        """Executes the given SQL query against the Database. Parameters can,
        optionally, be provided. Returns a RecordCollection, which can be
        iterated over to get result rows as dictionaries.
        """
        with self.get_connection(True) as conn:
            return conn.query(query, fetchall, **params)

    def bulk_query(self, query, *multiparams):
        """Bulk insert or update."""

        with self.get_connection() as conn:
            conn.bulk_query(query, *multiparams)

    def query_file(self, path, fetchall=False, **params):
        """Like Database.query, but takes a filename to load a query from."""

        with self.get_connection(True) as conn:
            return conn.query_file(path, fetchall, **params)

    def bulk_query_file(self, path, *multiparams):
        """Like Database.bulk_query, but takes a filename to load a query from."""

        with self.get_connection() as conn:
            conn.bulk_query_file(path, *multiparams)

    @contextmanager
    def transaction(self):
        """A context manager for executing a transaction on this Database."""

        conn = self.get_connection()
        tx = conn.transaction()
        try:
            yield conn
            tx.commit()
        except:
            tx.rollback()
        finally:
            conn.close()


class Connection(object):
    """A Database connection."""

    def __init__(self, connection, close_with_result=False):
        self._conn = connection
        self.open = not connection.closed
        self._close_with_result = close_with_result

    def close(self):
        # No need to close if this connection is used for a single result.
        # The connection will close when the results are all consumed or GCed.
        if not self._close_with_result:
            self._conn.close()
        self.open = False

    def __enter__(self):
        return self

    def __exit__(self, exc, val, traceback):
        self.close()

    def __repr__(self):
        return '<Connection open={}>'.format(self.open)

    def query(self, query, fetchall=False, **params):
        """Executes the given SQL query against the connected Database.
        Parameters can, optionally, be provided. Returns a RecordCollection,
        which can be iterated over to get result rows as dictionaries.
        """

        # Execute the given query.
        cursor = self._conn.execute(text(query).bindparams(**params)) # TODO: PARAMS GO HERE

        # Row-by-row Record generator.
        row_gen = iter(Record([], []))
        
        if cursor.returns_rows:
            row_gen = (Record(cursor.keys(), row) for row in cursor)

        # Convert psycopg2 results to RecordCollection.
        results = RecordCollection(row_gen)

        # Fetch all results if desired.
        if fetchall:
            results.all()

        return results

    def bulk_query(self, query, *multiparams):
        """Bulk insert or update."""

        self._conn.execute(text(query), *multiparams)

    def query_file(self, path, fetchall=False, **params):
        """Like Connection.query, but takes a filename to load a query from."""

        # If path doesn't exists
        if not os.path.exists(path):
            raise IOError("File '{}' not found!".format(path))

        # If it's a directory
        if os.path.isdir(path):
            raise IOError("'{}' is a directory!".format(path))

        # Read the given .sql file into memory.
        with open(path) as f:
            query = f.read()

        # Defer processing to self.query method.
        return self.query(query=query, fetchall=fetchall, **params)

    def bulk_query_file(self, path, *multiparams):
        """Like Connection.bulk_query, but takes a filename to load a query
        from.
        """

         # If path doesn't exists
        if not os.path.exists(path):
            raise IOError("File '{}'' not found!".format(path))

        # If it's a directory
        if os.path.isdir(path):
            raise IOError("'{}' is a directory!".format(path))

        # Read the given .sql file into memory.
        with open(path) as f:
            query = f.read()

        self._conn.execute(text(query), *multiparams)

    def transaction(self):
        """Returns a transaction object. Call ``commit`` or ``rollback``
        on the returned object as appropriate."""

        return self._conn.begin()

def _reduce_datetimes(row):
    """Receives a row, converts datetimes to strings."""

    row = list(row)

    for i, element in enumerate(row):
        if hasattr(element, 'isoformat'):
            row[i] = element.isoformat()
    return tuple(row)

def cli():
    supported_formats = 'csv tsv json yaml html xls xlsx dbf latex ods'.split()
    formats_lst=", ".join(supported_formats)
    cli_docs ="""Records: SQL for Humans™
A Kenneth Reitz project.

Usage:
  records <query> [<format>] [<params>...] [--url=<url>]
  records (-h | --help)

Options:
  -h --help     Show this screen.
  --url=<url>   The database URL to use. Defaults to $DATABASE_URL.

Supported Formats:
   %(formats_lst)s

   Note: xls, xlsx, dbf, and ods formats are binary, and should only be
         used with redirected output e.g. '$ records sql xls > sql.xls'.

Query Parameters:
    Query parameters can be specified in key=value format, and injected
    into your query in :key format e.g.:

    $ records 'select * from repos where language ~= :lang' lang=python

Notes:
  - While you may specify a database connection string with --url, records
    will automatically default to the value of $DATABASE_URL, if available.
  - Query is intended to be the path of a SQL file, however a query string
    can be provided instead. Use this feature discernfully; it's dangerous.
  - Records is intended for report-style exports of database queries, and
    has not yet been optimized for extremely large data dumps.
    """ % dict(formats_lst=formats_lst)

    # Parse the command-line arguments.
    arguments = docopt(cli_docs)

    query = arguments['<query>']
    params = arguments['<params>']
    format = arguments.get('<format>')
    if format and "=" in format:
        del arguments['<format>']
        arguments['<params>'].append(format)
        format = None
    if format and format not in supported_formats:
        print('%s format not supported.' % format)
        print('Supported formats are %s.' % formats_lst)
        exit(62)

    # Can't send an empty list if params aren't expected.
    try:
        params = dict([i.split('=') for i in params])
    except ValueError:
        print('Parameters must be given in key=value format.')
        exit(64)

    # Be ready to fail on missing packages
    try:
        # Create the Database.
        db = Database(arguments['--url'])

        # Execute the query, if it is a found file.
        if os.path.isfile(query):
            rows = db.query_file(query, **params)

        # Execute the query, if it appears to be a query string.
        elif len(query.split()) > 2:
            rows = db.query(query, **params)

        # Otherwise, say the file wasn't found.
        else:
            print('The given query could not be found.')
            exit(66)

        # Print results in desired format.
        if format:
            content = rows.export(format)
            if isinstance(content, bytes):
                print_bytes(content)
            else:
                print(content)
        else:
            print(rows.dataset)
    except ImportError as impexc:
        print(impexc.msg)
        print("Used database or format require a package, which is missing.")
        print("Try to install missing packages.")
        exit(60)


def print_bytes(content):
    try:
        stdout.buffer.write(content)
    except AttributeError:
        stdout.write(content)


# Run the CLI when executed directly.
if __name__ == '__main__':
    cli()