def toggle_display() -> flask.Response:
user = flask_security.current_user
tagged = flask.request.form.getlist("displayed", type=int)
untagged = flask.request.form.getlist("hidden", type=int)
with model.get_session() as session:
tagged = [
session.get(
orm_feeds.Feed,
feed_id,
) for feed_id in tagged
]
untagged = [
session.get(
orm_feeds.Feed,
feed_id,
) for feed_id in untagged
]
if tagged:
feed_db.upsert_display(user, *tagged, displayed=False)
if untagged:
feed_db.upsert_display(user, *untagged, displayed=True)
return "", 200
def feed(feed_id: int = None, ) -> flask.Response:
if not feed_id:
feed_id = flask.request.args.get("feed", type=int)
user = flask_security.current_user
with model.get_session() as session:
feed = session.get(
orm_feeds.Feed,
feed_id,
options=[
sqla.orm.selectinload(
orm_feeds.Feed.users.and_(
orm_users.User.UserID == user.UserID, )),
],
)
return flask.render_template(
"feed.html",
**context.base_context(),
topnav_title=feed.Title,
feed_row=feed,
langs_all=schema_feeds.Language,
lang_default=schema_feeds.Language.ENGLISH,
feed_tags=db.all_tags(user, feed),
feed_tags_not=db.all_tags(user, feed, False),
)
def toggle_tags() -> flask.Response:
feed_id = flask.request.form.get("feed_id", type=int)
tagged = flask.request.form.getlist("tagged", type=int)
untagged = flask.request.form.getlist("untagged", type=int)
with model.get_session() as session:
feed = session.get(
orm_feeds.Feed,
feed_id,
)
tagged = [session.get(
orm_feeds.Tag,
tag_id,
) for tag_id in tagged]
untagged = [
session.get(
orm_feeds.Tag,
tag_id,
) for tag_id in untagged
]
db.detach_tags(feed, *tagged)
db.attach_tags(feed, *untagged)
return "", 200
def compute_score(
user_id: int,
lang: schema_feeds.Language,
items: typing.List[orm_items.Item],
) -> typing.List[float]:
"""
Computes item score using classifier.
Args:
user_id: User ID.
lang: Language.
items: List of item objects.
Returns:
List of scores between -1.0 and +1.0.
"""
with model.get_session() as session:
user = session.get(orm_users.User, user_id)
clf = io.read_classifier(user, lang)
titles = [build_feature(row_it) for row_it in items]
targets = clf.predict_proba(titles)
scores = 2. * targets[:, 1] - 1.
return scores
def test_feeds():
session = get_session()
Feed = get_model('Feeds')
Item = get_model('Items')
read_feeds("The Atlantic")
assert(session.query(Item).join(Feed).filter(Feed.Title.like("The Atlantic%")).count())
def test_xml_read():
session = get_session()
User = get_model('Users')
Feed = get_model('Feeds')
Tag = get_model('Tags')
tags2feeds = get_table('Tags2Feeds')
# Building a many-to-many relationship.
Feed.tags = orm.relationship(
Tag,
secondary = tags2feeds,
back_populates = 'feeds'
)
Tag.feeds = orm.relationship(
Feed,
secondary = tags2feeds,
back_populates = 'tags'
)
user_id = session.query(User.UserID).filter(User.Name == "hansolo").scalar()
for file_it in glob.glob(os.path.join("feeds.d", "*.xml")):
tag_name = file_it[len("feeds.d") + 1:-len(".xml")]
with open(file_it, 'r') as f:
read_xml(f, user_id, tag_name)
q = (session.query(Tag.feeds)
.filter(
Tag.UserID == user_id,
Tag.Name == tag_name
).count())
assert(q)
def parse(input_dir=None, db_path=None, db_url=None):
assert input_dir is not None and (db_path is not None
or db_url is not None)
init_set = set()
for root, dirs, files in os.walk(input_dir):
for file in files:
if file[-4:] == '.txt':
exist_set = parse_single(os.path.join(root, file), db_path,
db_url, init_set)
init_set = init_set.union(exist_set)
# 最后处理内部引证关系
print('开始处理内部引证关系……')
engine = get_engine(db_path, db_url)
Base.metadata.create_all(engine)
session = get_session(engine)
session.execute(
'INSERT INTO wos_inner_reference '
'SELECT DISTINCT t1.document_unique_id AS citing_paper_id, t2.unique_id AS cited_paper_id '
'FROM wos_reference t1 INNER JOIN wos_document t2 '
'ON t1.document_md5 = t2.document_md5 OR t1.doi = t2.doi '
'ORDER BY citing_paper_id, cited_paper_id')
session.commit()
session.execute(
'DELETE FROM wos_inner_reference WHERE citing_paper_id = cited_paper_id'
)
session.commit()
session.close()
print('全部解析完成')
def upsert_display(
user: orm_users.User,
*feeds: orm_feeds.Feed,
displayed: bool = True,
):
with model.get_session() as session:
user = session.get(
orm_users.User,
user.UserID,
)
for feed_it in feeds:
feed_it = session.get(
orm_feeds.Feed,
feed_it.FeedID,
)
if displayed:
feed_it.users.append(user)
else:
try:
feed_it.users.remove(user)
except ValueError:
pass
session.commit()
def all_tags(
user: orm_users.User = None,
feed: orm_feeds.Feed = None,
flag: bool = True,
display: bool = True,
) -> typing.List[orm_feeds.Tag]:
q = sqla.select(orm_feeds.Tag, ).order_by(
sqla.collate(orm_feeds.Tag.Name, "NOCASE"), )
if user:
q = q.where(orm_feeds.Tag.UserID == user.UserID)
if feed:
q_where = orm_feeds.Tag.feeds.any(
orm_feeds.Feed.FeedID == feed.FeedID, )
if not flag:
q_where = ~q_where
q = q.where(q_where)
if display:
q = q.join(orm_feeds.Tag.feeds).join(
orm_feeds.Feed.users.and_(
orm_users.User.UserID == user.UserID, )).distinct()
with model.get_session() as session:
return [e[0] for e in session.execute(q)]
def test_display():
feeds = get_table('Feeds')
display = get_table('Display')
session = get_session()
User = get_model('Users')
Feed = get_model('Feeds')
# Building a many-to-many relationship.
Feed.users = orm.relationship(
User,
secondary = display,
back_populates = 'feeds'
)
User.feeds = orm.relationship(
Feed,
secondary = display,
back_populates = 'users'
)
user_id = session.query(User.UserID).filter(User.Name == "hansolo").scalar()
display_count = session.query(User.feeds).filter(User.UserID == user_id).count
if not display_count():
q = sql.select([
sql.literal_column(str(user_id), type_=Integer).label('UserID'),
feeds.c.FeedID
])
ins = display.insert().from_select(['UserID', 'FeedID'], q)
with get_connection() as conn:
conn.execute(ins.prefix_with("OR IGNORE"))
assert(display_count())
def tag() -> flask.Response:
tag_id = flask.request.args.get('tag', type=int)
with model.get_session() as session:
tag = session.get(orm_feeds.Tag, tag_id)
feeds_lang = {}
feeds_lang_not = {}
for lang_it in overview_db.all_langs():
feeds_lang[lang_it] = tag_db.all_feeds(
langs=[lang_it],
tags=[tag],
)
feeds_lang_not[lang_it] = tag_db.all_feeds(
langs=[lang_it],
tags=[tag],
tags_flag=False,
)
return flask.render_template(
"tag.html",
**context.base_context(),
topnav_title=tag.Name,
tag_row=tag,
feeds_lang=feeds_lang,
feeds_lang_not=feeds_lang_not,
)
def draw_cooccurrence_network(net_type=None,
db_path=None,
output_path=None,
top_n=30):
assert net_type is not None and output_path is not None and db_path is not None
engine = get_engine(db_path)
session = get_session(engine)
print('正在处理共现数据')
graph_data = []
data = []
title = None
if net_type == 'keyword':
title = 'Author Keyword Co-occurrence Network'
data = session.query(WosDocument.unique_id,
func.group_concat(WosKeyword.keyword, ';'))\
.join(WosKeyword).group_by(WosDocument.unique_id)
filter_data = session.query(WosKeyword.keyword, func.count('*').label('num')) \
.group_by(WosKeyword.keyword).order_by(desc('num'))
elif net_type == 'keyword_plus':
title = 'WoS Keyword Co-occurrence Network'
data = session.query(WosDocument.unique_id,
func.group_concat(WosKeywordPlus.keyword_plus, ';'))\
.join(WosKeywordPlus).group_by(WosDocument.unique_id)
filter_data = session.query(WosKeywordPlus.keyword_plus, func.count('*').label('num')) \
.group_by(WosKeywordPlus.keyword_plus).order_by(desc('num'))
elif net_type == 'author':
title = 'Author Co-authorship Network'
data = session.query(WosDocument.unique_id,
func.group_concat(WosAuthor.last_name +','+ WosAuthor.first_name, ';'))\
.join(WosAuthor).group_by(WosDocument.unique_id)
filter_data = session.query(WosAuthor.last_name + ',' + WosAuthor.first_name, func.count('*').label('num')) \
.group_by(WosAuthor.last_name + ',' + WosAuthor.first_name).order_by(desc('num'))
else:
print('未考虑到的作图情况：', net_type)
exit(-1)
for row in data:
row_split = row[1].split(';')
if len(row_split) > 1:
graph_data += list(combinations(row_split, 2))
# network是包含了全部关键词的共现网络
print('正在生成共现网络')
network = get_network(graph_data, directed=False)
session.close()
nx.write_graphml(network, 'test.gml')
filter_nodes = [i[0] for i in filter_data[top_n:]]
sub = nx.restricted_view(network, filter_nodes, [])
# 最大联通子图
# sub = sorted(nx.connected_component_subgraphs(sub), key = len, reverse=True)[0]
# print('正在绘图')
draw_net(sub, title=title, output_path=os.path.join(output_path, net_type))
def all_feeds(
langs: typing.List[schema_feeds.Language] = None,
tags: typing.List[orm_feeds.Tag] = None,
tags_flag: bool = True,
users: orm_users.User = None,
users_flag: bool = True
) -> typing.Dict[schema_feeds.Language, typing.List[orm_feeds.Feed]]:
q = sqla.select(orm_feeds.Feed)
q = feeds_order.order_title(q)
if langs:
q = feeds_filter.filter_languages(q, langs)
if tags:
q_where = orm_feeds.Feed.tags.any(
orm_feeds.Tag.TagID.in_([tag_it.TagID for tag_it in tags]), )
if not tags_flag:
q_where = ~q_where
q = q.where(q_where)
if users:
q_where = orm_feeds.Feed.users.any(
orm_users.User.UserID.in_([user_it.UserID for user_it in users]), )
if not users_flag:
q_where = ~q_where
q = q.where(q_where)
with model.get_session() as session:
return [e[0] for e in session.execute(q)]
def updated_items(
user: orm_users.User,
langs: typing.List[schema_feeds.Language],
tags: typing.List[orm_feeds.Tag],
start: datetime.datetime,
finish: datetime.datetime,
last: datetime.datetime = None,
wall_mode: wall.WallMode = wall.WallMode.CLASSIC,
):
q = sqla.select(orm_items.Item)
q = items_filter.filter_display(q, user)
q = items_filter.filter_dates(q, start, finish)
q = items_filter.filter_dates(q, finish=last)
if langs:
q = feeds_filter.filter_languages(q, langs)
if tags:
q = feeds_filter.filter_tags(q, tags, user)
q = items_filter.deduplicate_items(q)
q = items_load.load_like(q, user)
q = items_load.load_tags(q, user, feed_joined=True)
q = wall.order_wall(q, wall_mode, user)
with model.get_session() as session:
res = [e[0] for e in session.execute(q).unique()]
res = wall.sample_wall(res, wall_mode)
return res
def __init__(self, session=None, *args, **kwargs):
self.session = session or get_session()
self._dirty = set()
self._finalize = Finalize(self, self.sync, exitpriority=5)
super(DatabaseScheduler, self).__init__(*args, **kwargs)
self.max_interval = (kwargs.get('max_interval') or
self.app.conf.CELERYBEAT_MAX_LOOP_INTERVAL or
DEFAULT_MAX_INTERVAL)
def like(
like_val: schema_items.Like = schema_items.Like.UP,
) -> flask.Response:
user = flask_security.current_user
item_id = flask.request.form.get("id", type=int)
with model.get_session() as session:
item = session.get(orm_items.Item, item_id)
db.upsert_like(user, item, like_val)
return "", 200
def delete_feed() -> flask.Response:
feed_id = flask.request.form.get("feed", type=int)
with model.get_session() as session:
feed = session.get(
orm_feeds.Feed,
feed_id,
)
feed_db.delete_feeds(feed)
return flask.redirect(flask.url_for("overview.settings"))
def delete_tag() -> flask.Response:
tag_id = flask.request.form.get("tag", type=int)
with model.get_session() as session:
tag = session.get(
orm_feeds.Tag,
tag_id,
)
tag_db.delete_tags(tag)
return flask.redirect(flask.url_for("overview.settings"))
def get_split_title_keyword_abstract(db_path=None,
db_url=None,
output_path='',
foreground=False):
assert (db_path is None and db_url is not None) or (db_path is not None
and db_url is None)
assert output_path is not None
if db_path:
engine = get_engine(db_path=db_path)
else:
engine = get_engine(db_url=db_url)
session = get_session(engine)
data = session.query(WosDocument).all()
path = r'C:/Users/Tom/Desktop/bio_nature'
if foreground:
inner_path = path + '/foreground'
else:
inner_path = path + '/background'
for document in data:
title = document.title.strip() + '.'
kw_str = ''
# kw_str = ', '.join(document.keywords)
for kw in document.keywords:
kw_str += kw.keyword + '. '
# kw_str = kw_str[:-2]
kp_str = ''
# kp_str = ', '.join(document.keyword_plus)
for kp in document.keyword_plus:
kp_str += kp.keyword_plus + '. '
# kp_str = kp_str[:-2]
if document.abs:
abs_str = document.abs.replace('. ', '.\n')
else:
abs_str = ''
out_str = '\n'.join([title, kw_str, kp_str, abs_str])
filename = inner_path + '/{}-{}.txt'.format(document.unique_id,
document.pub_year)
with open(filename, mode='w', encoding='utf-8') as file:
file.write(out_str)
with open(path +
('/foreground.list' if foreground else '/background.list'),
mode='a',
encoding='utf-8') as l:
l.write(
('foreground' if foreground else 'background') +
'/{}-{}.txt\n'.format(document.unique_id, document.pub_year))
def get_tags() -> typing.List[orm_feeds.Tag]:
user = flask_security.current_user
tags_name = flask.request.args.getlist("tag")
q = sqla.select(orm_feeds.Tag, ).where(
orm_feeds.Tag.UserID == user.UserID,
orm_feeds.Tag.Name.in_(tags_name),
)
with model.get_session() as session:
return [e[0] for e in session.execute(q)]
def test_xml_write():
session = get_session()
User = get_model('Users')
Tag = get_model('Tags')
user_id = session.query(User.UserID).filter(User.Name == "hansolo").scalar()
tags_name = [e.Name for e in session.query(Tag).filter(Tag.UserID == user_id)]
for tag_name in tags_name:
file_path = os.path.join("feeds.d", tag_name + ".xml")
with open(file_path, 'w') as f:
write_xml(f, user_id, tag_name)
assert(os.path.isfile(file_path))
def all_likes(
user: orm_users.User,
lang: schema_feeds.Language,
score: schema_items.Like = schema_items.Like.UP,
) -> typing.Dict[schema_feeds.Language, typing.List[orm_items.Item]]:
q = sqla.select(orm_items.Item)
q = items_filter.filter_lang(q, lang)
q = items_filter.filter_like(q, score, user)
q = items_order.order_date(q)
q = items_load.load_feed(q, feed_joined=True)
with model.get_session() as session:
return [e[0] for e in session.execute(q)]
def all_langs(
user: orm_users.User = None,
) -> typing.List[schema_feeds.Language]:
q = sqla.select(
orm_feeds.Feed.Language,
).order_by(
sqla.collate(orm_feeds.Feed.Language, "NOCASE"),
).distinct()
if user:
q = feeds_filter.filter_display(q, user)
with model.get_session() as session:
return [schema_feeds.Language[e["Language"]] for e in session.execute(q)]
def run():
session = get_session()
class AveragePriceData(Model):
# ['footnote_codes', 'item_name', 'end_year', 'area_name', 'begin_year', 'area_code', 'item_code', 'begin_period', 'end_period']
series_id = Text(primary_key=True)
footnote_codes = Text()
item_name = Text()
begin_year = Integer()
end_year = Integer()
area_name = Text()
area_code = Text()
item_code = Text()
begin_period = Text()
end_period = Text()
sync_table(AveragePriceData)
# read the master data (ap.series)
series = pandas.read_csv(path.format("ap/ap.series"), sep='\t', skiprows=1,
names=["series_id", "area_code", "item_code", "footnote_codes", "begin_year",
"begin_period", "end_year", "end_period"] )
# not sure why i'm getting extra spaces, cleaning that up
series["item_code"] = series["item_code"].map(lambda x: str(x).strip())
series.set_index("series_id", inplace=True)
# load areas
area = pandas.read_fwf(path.format("ap/ap.area"), widths=[4,100], names=["area_code", "area_name"], skiprows=2)
area.set_index("area_code", inplace=True)
footnotes = pandas.read_fwf(path.format("ap/ap.footnote"), skiprows=1, widths=[1,100], names=["footnote_code", "footnote_text"])
footnotes.set_index("footnote_code", inplace=True)
items = pandas.read_fwf(path.format("ap/ap.item"), widths=[7, 100], skiprows=2, names=["item_code", "item_name"])
items.set_index("item_code", inplace=True)
result = series.join(area, on="area_code").join(items, on="item_code")
print result.head(5)
for k, v in result.iterrows():
vals = v.to_dict()
vals["series_id"] = k
try:
AveragePriceData.create(**vals)
except Exception as e:
print e
print vals
break
print "Created {}".format(k)
def insert_tag(
user: orm_users.User,
name: str,
) -> orm_feeds.Tag:
with model.get_session() as session:
tag = orm_feeds.Tag(
UserID=user.UserID,
Name=name,
)
session.add(tag)
session.commit()
session.refresh(tag)
return tag
def test_tags():
feeds = get_table('Feeds')
tags = get_table('Tags')
tags2feeds = get_table('Tags2Feeds')
session = get_session()
User = get_model('Users')
Feed = get_model('Feeds')
Tag = get_model('Tags')
# Building a many-to-many relationship.
Feed.tags = orm.relationship(
Tag,
secondary = tags2feeds,
back_populates = 'feeds'
)
Tag.feeds = orm.relationship(
Feed,
secondary = tags2feeds,
back_populates = 'tags'
)
user_id = session.query(User.UserID).filter(User.Name == "hansolo").scalar()
ins = tags.insert().values(UserID=user_id, Name="news")
with get_connection() as conn:
conn.execute(ins.prefix_with("OR IGNORE"))
q = sql.select([
tags.c.TagID,
feeds.c.FeedID
]).where(sql.and_(
feeds.c.Title == "The Atlantic",
tags.c.Name == "news"
))
ins = tags2feeds.insert().from_select([
tags2feeds.c.TagID,
tags2feeds.c.FeedID]
, q)
with get_connection() as conn:
conn.execute(ins.prefix_with("OR IGNORE"))
q = (session.query(Tag.feeds)
.filter(
Tag.Name == "news",
Tag.UserID == user_id,
Tag.feeds.any(Feed.Title.like("The Atlantic%"))
).count())
assert(q)
def test_user_datastore():
session = get_session()
User = get_model('Users')
try:
user_datastore = get_user_datastore()
user_datastore.create_user(
name="hansolo",
password="******",
email="*****@*****.**"
)
session.commit()
except exc.IntegrityError:
session.rollback()
assert(session.query(User).filter(User.Name == "hansolo").count())
def last_updated(user_id: int = None) -> datetime.datetime:
try:
q = sqla.select(sqla.func.min(orm_feeds.Feed.Updated))
if user_id:
q = q.where(
orm_feeds.Feed.users.any(orm_users.User.UserID == user_id))
with model.get_session() as session:
res = session.execute(q).fetchone()[0]
if res is None:
raise IndexError
except IndexError:
res = datetime.datetime.utcfromtimestamp(0)
return res
def update_feed(
feed: orm_feeds.Feed,
title: str,
link: str,
lang: schema_feeds.Language,
):
with model.get_session() as session:
feed = session.get(
orm_feeds.Feed,
feed.FeedID,
)
feed.Title = title
feed.Link = link
feed.Language = lang.name
session.commit()
def insert_feed(
title: str,
link: str,
lang: schema_feeds.Language,
) -> orm_feeds.Feed:
with model.get_session() as session:
feed = orm_feeds.Feed(
Title=title,
Link=link,
Language=lang.name,
)
session.add(feed)
session.commit()
session.refresh(feed)
return feed
def __init__(self, model, session=None):
self.app = current_app
self.session = session or get_session()
self.name = model.name
self.task = model.task
self.schedule = model.schedule
self.args = json.loads(model.args or '[]')
self.kwargs = json.loads(model.kwargs or '{}')
self.total_run_count = model.total_run_count
self.model = model
self.options = {} # need reconstruction
if not model.last_run_at:
model.last_run_at = self._default_now()
orig = self.last_run_at = model.last_run_at
if not is_naive(self.last_run_at):
self.last_run_at = self.last_run_at.replace(tzinfo=None)
assert orig.hour == self.last_run_at.hour # timezone sanity
def before_request():
g.db_session = get_session()
import json
import sys
import model
session = model.get_session()
def parse_file(filename):
with open(filename, 'rb') as f:
data = json.loads(f.read())
for item in data:
"""
{
"id": "U02HCHXGE",
"team_id": "T024TC0TE",
"name": "allison",
"deleted": false,
"status": null,
"color": "8469bc",
"real_name": "Allison Wilbur",
"tz": "America\/Los_Angeles",
"tz_label": "Pacific Standard Time",
"tz_offset": -28800,
"profile": {
"first_name": "Allison",
"last_name": "Wilbur",
"title": "Support Ninja",
"skype": "allison.wilbur",
"phone": "5129442311",
def users():
session = model.get_session()
return ", ".join(["{} ({})".format(u.name.encode('utf8'), str(u))
for u in session.query(model.User).all()])
def get(self):
self.session_start()
model.get_session(self.session['id'])
self.render("templates/index.html")
import tornado.ioloop
import tornado.web
from model import User, Message, get_session
from datetime import datetime
# Tornadail Configuration
server_port = 2626 # Default: 26
db_address = "sqlite:///tornadail.db" # DB of you choice
session = get_session(db_address)
class ServerHandler(tornado.web.RequestHandler):
def get(self):
details = {
'server': 'Tornadail',
'version': '0.1',
'protocol': 0.1}
self.write(details)
self.set_status(200)
class UserHandler(tornado.web.RequestHandler):
def get(self, username):
messages = []
for message in session.query(Message).all():
m = {
'sender': message.sender,
'recipient': message.recipient,
'time': str(message.time),
#!/usr/bin/env python # -*- coding: utf-8 -*- ''' #============================================================================= # FileName: addtask # Desc: # Author: ge.jin # Email: [email protected] # HomePage: wwww.woqutech.com # Version: 0.0.1 # LastChange: 5/3/16 9:33 AM # History: #============================================================================= ''' from celery import Celery, current_app app = Celery('celerybeat-sqlalchemy') app.config_from_object('settings') from model import PeriodicTask, CrontabSchedule, IntervalSchedule, get_session print current_app.conf.CELERYBEAT_MAX_LOOP_INTERVAL session = get_session() cs = CrontabSchedule(minute='*/5') iss = IntervalSchedule(every=30, period='seconds') session.add(cs) # pt = PeriodicTask(name="sdisfsdffaf124asf", task="task_hello", crontab=cs, interval=iss, args='[]', kwargs='{}') pt = PeriodicTask(name="sd124asf", task="task_hello", interval=iss, args='[]', kwargs='{}') session.add(pt) session.flush()
