comparison chado.py @ 0:2dc7f958f3ff draft

planemo upload for repository https://github.com/galaxy-genome-annotation/galaxy-tools/tree/master/tools/chado commit 3c4fb887c809face4fbe4602617d6dc094b15864

0:2dc7f958f3ff

import collections
import os
import time
from abc import abstractmethod

import chado


#############################################
#      BEGIN IMPORT OF CACHING LIBRARY      #
#############################################
# This code is licensed under the MIT       #
# License and is a copy of code publicly    #
# available in rev.                         #
# e27332bc82f4e327aedaec17c9b656ae719322ed  #
# of https://github.com/tkem/cachetools/    #
#############################################
class DefaultMapping(collections.MutableMapping):

    __slots__ = ()

    @abstractmethod
    def __contains__(self, key):  # pragma: nocover
        return False

    @abstractmethod
    def __getitem__(self, key):  # pragma: nocover
        if hasattr(self.__class__, '__missing__'):
            return self.__class__.__missing__(self, key)
        else:
            raise KeyError(key)

    def get(self, key, default=None):
        if key in self:
            return self[key]
        else:
            return default

    __marker = object()

    def pop(self, key, default=__marker):
        if key in self:
            value = self[key]
            del self[key]
        elif default is self.__marker:
            raise KeyError(key)
        else:
            value = default
        return value

    def setdefault(self, key, default=None):
        if key in self:
            value = self[key]
        else:
            self[key] = value = default
        return value


DefaultMapping.register(dict)


class _DefaultSize(object):
    def __getitem__(self, _):
        return 1

    def __setitem__(self, _, value):
        assert value == 1

    def pop(self, _):
        return 1


class Cache(DefaultMapping):
    """Mutable mapping to serve as a simple cache or cache base class."""

    __size = _DefaultSize()

    def __init__(self, maxsize, missing=None, getsizeof=None):
        if missing:
            self.__missing = missing
        if getsizeof:
            self.__getsizeof = getsizeof
            self.__size = dict()
        self.__data = dict()
        self.__currsize = 0
        self.__maxsize = maxsize

    def __repr__(self):
        return '%s(%r, maxsize=%r, currsize=%r)' % (
            self.__class__.__name__,
            list(self.__data.items()),
            self.__maxsize,
            self.__currsize,
        )

    def __getitem__(self, key):
        try:
            return self.__data[key]
        except KeyError:
            return self.__missing__(key)

    def __setitem__(self, key, value):
        maxsize = self.__maxsize
        size = self.getsizeof(value)
        if size > maxsize:
            raise ValueError('value too large')
        if key not in self.__data or self.__size[key] < size:
            while self.__currsize + size > maxsize:
                self.popitem()
        if key in self.__data:
            diffsize = size - self.__size[key]
        else:
            diffsize = size
        self.__data[key] = value
        self.__size[key] = size
        self.__currsize += diffsize

    def __delitem__(self, key):
        size = self.__size.pop(key)
        del self.__data[key]
        self.__currsize -= size

    def __contains__(self, key):
        return key in self.__data

    def __missing__(self, key):
        value = self.__missing(key)
        try:
            self.__setitem__(key, value)
        except ValueError:
            pass  # value too large
        return value

    def __iter__(self):
        return iter(self.__data)

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

    @staticmethod
    def __getsizeof(value):
        return 1

    @staticmethod
    def __missing(key):
        raise KeyError(key)

    @property
    def maxsize(self):
        """The maximum size of the cache."""
        return self.__maxsize

    @property
    def currsize(self):
        """The current size of the cache."""
        return self.__currsize

    def getsizeof(self, value):
        """Return the size of a cache element's value."""
        return self.__getsizeof(value)


class _Link(object):

    __slots__ = ('key', 'expire', 'next', 'prev')

    def __init__(self, key=None, expire=None):
        self.key = key
        self.expire = expire

    def __reduce__(self):
        return _Link, (self.key, self.expire)

    def unlink(self):
        next = self.next
        prev = self.prev
        prev.next = next
        next.prev = prev


class _Timer(object):

    def __init__(self, timer):
        self.__timer = timer
        self.__nesting = 0

    def __call__(self):
        if self.__nesting == 0:
            return self.__timer()
        else:
            return self.__time

    def __enter__(self):
        if self.__nesting == 0:
            self.__time = time = self.__timer()
        else:
            time = self.__time
        self.__nesting += 1
        return time

    def __exit__(self, *exc):
        self.__nesting -= 1

    def __reduce__(self):
        return _Timer, (self.__timer,)

    def __getattr__(self, name):
        return getattr(self.__timer, name)


class TTLCache(Cache):
    """LRU Cache implementation with per-item time-to-live (TTL) value."""

    def __init__(self, maxsize, ttl, timer=time.time, missing=None,
                 getsizeof=None):
        Cache.__init__(self, maxsize, missing, getsizeof)
        self.__root = root = _Link()
        root.prev = root.next = root
        self.__links = collections.OrderedDict()
        self.__timer = _Timer(timer)
        self.__ttl = ttl

    def __contains__(self, key):
        try:
            link = self.__links[key]  # no reordering
        except KeyError:
            return False
        else:
            return not (link.expire < self.__timer())

    def __getitem__(self, key, cache_getitem=Cache.__getitem__):
        try:
            link = self.__getlink(key)
        except KeyError:
            expired = False
        else:
            expired = link.expire < self.__timer()
        if expired:
            return self.__missing__(key)
        else:
            return cache_getitem(self, key)

    def __setitem__(self, key, value, cache_setitem=Cache.__setitem__):
        with self.__timer as time:
            self.expire(time)
            cache_setitem(self, key, value)
        try:
            link = self.__getlink(key)
        except KeyError:
            self.__links[key] = link = _Link(key)
        else:
            link.unlink()
        link.expire = time + self.__ttl
        link.next = root = self.__root
        link.prev = prev = root.prev
        prev.next = root.prev = link

    def __delitem__(self, key, cache_delitem=Cache.__delitem__):
        cache_delitem(self, key)
        link = self.__links.pop(key)
        link.unlink()
        if link.expire < self.__timer():
            raise KeyError(key)

    def __iter__(self):
        root = self.__root
        curr = root.next
        while curr is not root:
            # "freeze" time for iterator access
            with self.__timer as time:
                if not (curr.expire < time):
                    yield curr.key
            curr = curr.next

    def __len__(self):
        root = self.__root
        curr = root.next
        time = self.__timer()
        count = len(self.__links)
        while curr is not root and curr.expire < time:
            count -= 1
            curr = curr.next
        return count

    def __setstate__(self, state):
        self.__dict__.update(state)
        root = self.__root
        root.prev = root.next = root
        for link in sorted(self.__links.values(), key=lambda obj: obj.expire):
            link.next = root
            link.prev = prev = root.prev
            prev.next = root.prev = link
        self.expire(self.__timer())

    def __repr__(self, cache_repr=Cache.__repr__):
        with self.__timer as time:
            self.expire(time)
            return cache_repr(self)

    @property
    def currsize(self):
        with self.__timer as time:
            self.expire(time)
            return super(TTLCache, self).currsize

    @property
    def timer(self):
        """The timer function used by the cache."""
        return self.__timer

    @property
    def ttl(self):
        """The time-to-live value of the cache's items."""
        return self.__ttl

    def expire(self, time=None):
        """Remove expired items from the cache."""
        if time is None:
            time = self.__timer()
        root = self.__root
        curr = root.next
        links = self.__links
        cache_delitem = Cache.__delitem__
        while curr is not root and curr.expire < time:
            cache_delitem(self, curr.key)
            del links[curr.key]
            next = curr.next
            curr.unlink()
            curr = next

    def clear(self):
        with self.__timer as time:
            self.expire(time)
            Cache.clear(self)

    def get(self, *args, **kwargs):
        with self.__timer:
            return Cache.get(self, *args, **kwargs)

    def pop(self, *args, **kwargs):
        with self.__timer:
            return Cache.pop(self, *args, **kwargs)

    def setdefault(self, *args, **kwargs):
        with self.__timer:
            return Cache.setdefault(self, *args, **kwargs)

    def popitem(self):
        """Remove and return the `(key, value)` pair least recently used that
        has not already expired.

        """
        with self.__timer as time:
            self.expire(time)
            try:
                key = next(iter(self.__links))
            except StopIteration:
                raise KeyError('%s is empty' % self.__class__.__name__)
            else:
                return (key, self.pop(key))

    if hasattr(collections.OrderedDict, 'move_to_end'):
        def __getlink(self, key):
            value = self.__links[key]
            self.__links.move_to_end(key)
            return value
    else:
        def __getlink(self, key):
            value = self.__links.pop(key)
            self.__links[key] = value
            return value


#############################################
#       END IMPORT OF CACHING LIBRARY       #
#############################################

cache = TTLCache(
    100,  # Up to 100 items
    1 * 60  # 5 minute cache life
)


def _get_instance():
    return chado.ChadoInstance(
        os.environ['GALAXY_CHADO_DBHOST'],
        os.environ['GALAXY_CHADO_DBNAME'],
        os.environ['GALAXY_CHADO_DBUSER'],
        os.environ['GALAXY_CHADO_DBPASS'],
        os.environ['GALAXY_CHADO_DBSCHEMA'],
        os.environ['GALAXY_CHADO_DBPORT'],
        no_reflect=True
    )


def list_organisms(*args, **kwargs):

    ci = _get_instance()

    # Key for cached data
    cacheKey = 'orgs'
    # We don't want to trust "if key in cache" because between asking and fetch
    # it might through key error.
    if cacheKey not in cache:
        # However if it ISN'T there, we know we're safe to fetch + put in
        # there.
        data = _list_organisms(ci, *args, **kwargs)
        cache[cacheKey] = data
        return data
    try:
        # The cache key may or may not be in the cache at this point, it
        # /likely/ is. However we take no chances that it wasn't evicted between
        # when we checked above and now, so we reference the object from the
        # cache in preparation to return.
        data = cache[cacheKey]
        return data
    except KeyError:
        # If access fails due to eviction, we will fail over and can ensure that
        # data is inserted.
        data = _list_organisms(ci, *args, **kwargs)
        cache[cacheKey] = data
        return data


def _list_organisms(ci, *args, **kwargs):
    # Fetch the orgs.
    orgs_data = []
    for org in ci.organism.get_organisms():
        clean_name = '%s %s' % (org['genus'], org['species'])
        if 'infraspecific_name' in org and org['infraspecific_name']:
            clean_name += ' (%s)' % (org['infraspecific_name'])
        orgs_data.append((clean_name, str(org['organism_id']), False))
    return orgs_data


def list_analyses(*args, **kwargs):

    ci = _get_instance()

    # Key for cached data
    cacheKey = 'analyses'
    # We don't want to trust "if key in cache" because between asking and fetch
    # it might through key error.
    if cacheKey not in cache:
        # However if it ISN'T there, we know we're safe to fetch + put in
        # there.<?xml version="1.0"?>

        data = _list_analyses(ci, *args, **kwargs)
        cache[cacheKey] = data
        return data
    try:
        # The cache key may or may not be in the cache at this point, it
        # /likely/ is. However we take no chances that it wasn't evicted between
        # when we checked above and now, so we reference the object from the
        # cache in preparation to return.
        data = cache[cacheKey]
        return data
    except KeyError:
        # If access fails due to eviction, we will fail over and can ensure that
        # data is inserted.
        data = _list_analyses(ci, *args, **kwargs)
        cache[cacheKey] = data
        return data


def _list_analyses(ci, *args, **kwargs):
    ans_data = []
    for an in ci.analysis.get_analyses():
        ans_data.append((an['name'], str(an['analysis_id']), False))
    return ans_data