def topological_sort_chains(chains):
incidence = dict()
G = create_graph(chains, incidence)
assert len(G) == len(incidence)
color = {}
pred = {}
disc = {}
fin = {}
DFS(G, color, pred, disc, fin)
fin2 = dictreverse(fin)
fin3 = []
for i in sorted(fin2, reverse=True):
fin3.append(fin2[i])
return fin3
def get_ordered(self, new=()):
if self.order is None:
return
order = self.order
acct_position = dict((v,k) for (k,v) in enumerate(order))
from collections import defaultdict
types = defaultdict(list)
provider_list = self.existing_sps.values()
provider_lookup = dict()
account_lookup = dict()
for provider in provider_list:
for type_, acct in provider.accounts.items():
if acct in new:
assert len(new) == 1
assert len(provider.accounts) > len(new)
continue
types[type_].append(acct)
provider_lookup[acct.id] = provider
account_lookup[acct.id] = acct
for val in types.values():
val.sort(key = lambda a: acct_position.get(a.id, 1000))
loc = dict(enumerate(provider_list))
from util.primitives.mapping import dictreverse
loc2 = dictreverse(loc)
chains = [types['im'], types['email'], types['social']]
#this adds just a little more information about the relationship between
#im/email/social accounts.
total_chain = oset(account_lookup[id_] for id_ in order if id_ in account_lookup)
for chain in chains:
total_chain.update(chain)
chains.append(total_chain)
chains = [oset([loc2[provider_lookup[acct.id]] for acct in type_]) for type_ in chains]
#enforce that if there is a previous ordering between two nodes,
#then the reverse ordering is discarded
# partial = set()
# chains2 = []
# for chain in chains:
# chain2 = []
# blacklist = []
# for i, a in enumerate(chain):
# if a in blacklist:
# continue
# for b in chain[i:]:
# if a == b:
# continue
# node = (a,b)
# revnode = (b,a)
# if revnode in partial:
# #the conflict doesn't exist until we get to b
# #and it's farther down than this one, so discard b.
# _none = blacklist.append(b)
# else:
# _none = partial.add(node)
# else:
# _none = chain2.append(a)
# _none = chains2.append(chain2)
# #_none is for pasting into the console, consumed return values aren't shown.
# import util.primitives.topological_sort as tsort
# order = tsort.topological_sort_chains(chains2)
import util.primitives.topo_sort as tsort
order = tsort.topological_sort_chains(chains)
provider_accts = [loc[i] for i in order]
out = []
for prov in provider_accts:
[out.append(a.id) for a in
[prov.accounts.get(t, None) for t in
['im', 'email', 'social']]
if a is not None]
self.order = out
return provider_accts
FORCED_APPS = {
'News Feed': 'nf',
'Status Updates': 'app_2915120374',
'Photos': 'app_2305272732',
'Links': 'app_2309869772'
}
FORCED_KEYS = {
'__notification__': {
'name': 'Notifications',
'icon_url': 'facebookicons.notifications_icon'
}
}
KNOWN_APPS_LOOKUP = mapping.dictreverse(FORCED_APPS)
#COMMENTS_QUERY = "SELECT fromid, text, time, post_id, id FROM comment WHERE post_id IN (SELECT post_id FROM #posts)"
PROFILES_QUERY = """SELECT id, name, pic_square, url FROM profile WHERE id IN (SELECT viewer_id FROM #posts) OR id IN(SELECT actor_id FROM #posts) OR id in (SELECT target_id FROM #posts) OR id in (SELECT source_id FROM #posts) OR id IN (SELECT likes.sample FROM #posts) OR id IN (SELECT likes.friends FROM #posts) OR id IN (SELECT sender_id FROM #notifications)"""
#ALL_POSTS_QUERY = 'SELECT post_id, comments, permalink, created_time, updated_time, viewer_id, actor_id, target_id, source_id, message, attachment, action_links, likes FROM stream where filter_key="nf" and is_hidden=0 LIMIT 100'
BIRTHDAY_QUERY = 'select name, birthday_date, profile_url, uid from user where uid IN (select uid2 from friend where uid1=%d)'
NOW_QUERY = 'select now() from user where uid=%d'
EVENTS_QUERY = 'select eid from event where eid in (select eid from event_member where uid=me() and rsvp_status="not_replied") and start_time > now()'
STATUS_QUERY = 'select message, status_id, time, uid from status where uid=me() limit 1'
NOTIFICATIONS_QUERY = 'select notification_id,sender_id,created_time,updated_time,title_html,title_text,href,is_unread,app_id from notification where recipient_id=me()'
APP_QUERY = 'SELECT app_id,icon_url FROM application WHERE app_id IN (SELECT app_id from #notifications)'
POST_FILTER_KEY_QUERY = "select post_id, filter_key from stream where post_id in (select post_id from #latest_posts) and filter_key in (select filter_key from #filter_keys)"
FILTER_KEY_QUERY = "select filter_key, name, icon_url from stream_filter where uid=me() and ((is_visible=1 and type='application') or filter_key in ('" + "', '".join(
FORCED_APPS.values()) + "')) ORDER BY rank ASC"
import graphapi
log = getLogger("Facebook2.0")
POSTS_LIMIT = 100
FORCED_APPS = {'News Feed': 'nf',
'Status Updates': 'app_2915120374',
'Photos': 'app_2305272732',
'Links': 'app_2309869772'}
FORCED_KEYS = {
'__notification__':{'name':'Notifications',
'icon_url':'facebookicons.notifications_icon'}
}
KNOWN_APPS_LOOKUP = mapping.dictreverse(FORCED_APPS)
#COMMENTS_QUERY = "SELECT fromid, text, time, post_id, id FROM comment WHERE post_id IN (SELECT post_id FROM #posts)"
PROFILES_QUERY = """SELECT id, name, pic_square, url FROM profile WHERE id IN (SELECT viewer_id FROM #posts) OR id IN(SELECT actor_id FROM #posts) OR id in (SELECT target_id FROM #posts) OR id in (SELECT source_id FROM #posts) OR id IN (SELECT likes.sample FROM #posts) OR id IN (SELECT likes.friends FROM #posts) OR id IN (SELECT sender_id FROM #notifications)"""
#ALL_POSTS_QUERY = 'SELECT post_id, comments, permalink, created_time, updated_time, viewer_id, actor_id, target_id, source_id, message, attachment, action_links, likes FROM stream where filter_key="nf" and is_hidden=0 LIMIT 100'
BIRTHDAY_QUERY = 'select name, birthday_date, profile_url, uid from user where uid IN (select uid2 from friend where uid1=%d)'
NOW_QUERY = 'select now() from user where uid=%d'
EVENTS_QUERY = 'select eid from event where eid in (select eid from event_member where uid=me() and rsvp_status="not_replied") and start_time > now()'
STATUS_QUERY = 'select message, status_id, time, uid from status where uid=me() limit 1'
NOTIFICATIONS_QUERY = 'select notification_id,sender_id,created_time,updated_time,title_html,title_text,href,is_unread,app_id from notification where recipient_id=me()'
APP_QUERY = 'SELECT app_id,icon_url FROM application WHERE app_id IN (SELECT app_id from #notifications)'
POST_FILTER_KEY_QUERY = "select post_id, filter_key from stream where post_id in (select post_id from #latest_posts) and filter_key in (select filter_key from #filter_keys)"
FILTER_KEY_QUERY = "select filter_key, name, icon_url from stream_filter where uid=me() and ((is_visible=1 and type='application') or filter_key in ('" + "', '".join(FORCED_APPS.values()) + "')) ORDER BY rank ASC"
POST_QUERY = 'SELECT post_id, comments, permalink, created_time, updated_time, viewer_id, actor_id, target_id, source_id, message, attachment, action_links, likes FROM stream where post_id="%s"'
G = create_graph(chains, incidence)
assert len(G) == len(incidence)
color = {}
pred = {}
disc = {}
fin = {}
DFS(G, color, pred, disc, fin)
fin2 = dictreverse(fin)
fin3 = []
for i in sorted(fin2, reverse=True):
fin3.append(fin2[i])
return fin3
if __name__ == '__main__':
incidence = dict()
G = create_graph([ [6, 0, 5], [5, 6, 9, 3, 8, 7, 4, 2], [1, 0], [5, 6, 1, 0, 9, 3, 8, 7, 4, 2]], incidence)
assert len(G) == len(incidence)
color = {}
pred = {}
disc = {}
fin = {}
DFS(G, color, pred, disc, fin)
from mapping import dictreverse
fin2 = dictreverse(fin)
fin3 = []
for i in sorted(fin2, reverse=True):
fin3.append(fin2[i])
print fin3
# print incidence
