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# -*- coding: utf-8 -*-
"""
utils for apps/indicator
"""
from django.contrib.auth.models import User
from django.shortcuts import get_object_or_404
from indicator import models as im
from sciblog import models as sciblogm
import re
import datetime
# follow_indicator {{{
def follow_indicator(user_id, indicator_id):
"""
用户关注指标
"""
try:
user = get_object_or_404(User, id=user_id)
indicator = im.Indicator.objects.get(id=indicator_id)
ui, created = im.UserIndicator.objects.get_or_create(user=user)
ui.followedIndicators.add(indicator)
# to remove the indicator from 'followedHistories' if exists
if indicator in ui.followedHistories.all():
ui.followedHistories.remove(indicator)
return True
except:
return False
# }}}
# unfollow_indicator {{{
def unfollow_indicator(user_id, indicator_id):
"""
用户取消关注指标
"""
try:
user = get_object_or_404(User, id=user_id)
indicator = im.Indicator.objects.get(id=indicator_id)
ui, created = im.UserIndicator.objects.get_or_create(user=user)
ui.followedIndicators.remove(indicator)
# add indicator to 'followedHistories'
ui.followedHistories.add(indicator)
return True
except:
return False
# }}}
# get_indicator {{{
def get_indicator(category_id="all", startswith="all"):
"""
根据指定的 category_id 和 startswith 获取 indicator
返回一个 dict
Dict format:
dict = {
'a': [ {'pinyin': 'aa', ...}, {'pinyin': 'ab', ...}, ... ],
'b': [ {'pinyin': 'ba', ...}, {'pinyin': 'bb', ...}, ... ],
...
}
"""
_idict = {}
if category_id == 'all':
iqueryset = im.Indicator.objects.all()
else:
try:
cid = int(category_id)
cate = im.IndicatorCategory.objects.get(id=cid)
iqueryset = cate.indicators.all()
except ValueError:
raise ValueError(u'category_id 不是整数型')
return _idict
except im.IndicatorCategory.DoesNotExist:
raise ValueError(u'id=%s 的 IndicatorCategory 不存在'
% cid)
return _idict
if startswith == 'all':
starts = map(chr, range(ord('a'), ord('z')+1))
else:
starts = []
_str = startswith.lower()
for i in _str:
if i >= 'a' and i <= 'z':
starts.append(i)
for l in starts:
iq = iqueryset.filter(pinyin__istartswith=l).order_by('pinyin')
_idict[l] = [ i.dump() for i in iq ]
return _idict
# }}}
# get_followed_indicator {{{
def get_followed_indicator(user_id, category_id="all", startswith="all"):
"""
获取已关注的指标
返回 dict, 格式与 get_indicator() 一致
"""
u = User.objects.get(id=user_id)
ui, created = im.UserIndicator.objects.get_or_create(user=u)
_idict = {}
iqueryset = ui.followedIndicators.all()
if not category_id == 'all':
try:
cid = int(category_id)
iqueryset = iqueryset.filter(categories__id=cid)
except ValueError:
raise ValueError(u'category_id 不是整数型')
return _idict
if startswith == 'all':
starts = map(chr, range(ord('a'), ord('z')+1))
else:
starts = []
_str = startswith.lower()
for i in _str:
if i >= 'a' and i <= 'z':
starts.append(i)
for l in starts:
iq = iqueryset.filter(pinyin__istartswith=l).order_by('pinyin')
_idict[l] = [ i.dump() for i in iq ]
return _idict
# }}}
# get_unfollowed_indicator {{{
def get_unfollowed_indicator(user_id, category_id="all", startswith="all"):
"""
获取未关注的指标
返回 dict, 格式与 get_indicator() 一致
"""
u = User.objects.get(id=user_id)
ui, created = im.UserIndicator.objects.get_or_create(user=u)
_idict = {}
# XXX: if 'exclude(followed_indicators=ui)' OK??
iqueryset = im.Indicator.objects.exclude(followed_indicators=ui)
if not category_id == 'all':
try:
cid = int(category_id)
iqueryset = iqueryset.filter(categories__id=cid)
except ValueError:
raise ValueError(u'category_id 不是整数型')
return _idict
if startswith == 'all':
starts = map(chr, range(ord('a'), ord('z')+1))
else:
starts = []
_str = startswith.lower()
for i in _str:
if i >= 'a' and i <= 'z':
starts.append(i)
for l in starts:
iq = iqueryset.filter(pinyin__istartswith=l).order_by('pinyin')
_idict[l] = [ i.dump() for i in iq ]
return _idict
# }}}
# get_record {{{
def get_record(user_id, indicator_id, begin=None, end=None, number=None, std=False):
"""
args 'begin' and 'end' to specify the date range.
arg 'std=True' to get data in standard unit
if 'begin=None', then the earliest date is given;
if 'end=None', then the latest date is given.
if 'number' given, then return the lastest number of records.
if there is not that much, then return all the records.
the date range filter *first*, then number filter
return dict format: (data sorted by 'date')
rdata = {
'failed': False,
'number_req': number_of_records_request,
'begin_req': begin_req,
'end_req': end_req,
'number_rsp': number_of_records_response,
'begin_rsp': begin_rsp,
'end_rsp': end_rsp,
'has_more': True|False,
'has_earlier': True|False,
'has_later': True|False,
'data': [d1r1.get_data(), d1r2.get_data(), ...],
}
"""
# default parameters
number_req = None
begin_req = None
end_req = None
#
uid = int(user_id)
indid = int(indicator_id)
all_records = im.IndicatorRecord.objects.\
filter(user__id=uid, indicator__id=indid).\
order_by('date', 'created_at')
# check if 'all_records' empty
if not all_records:
return {'failed': True}
# check date range and given number
if (begin is None) and (end is None):
# select by given 'number'
if number is not None:
try:
number_req = int(number)
records = all_records.reverse()[:number_req]
except ValueError:
raise ValueError(u"number='%s' 错误" % number)
return {'failed': True}
else:
records = all_records.reverse()
# convert to list, and re-sort by 'date'
records_list = list(records)
records_list.reverse()
else:
# check date range
# begin
if begin is None:
begin = all_records[0].date
elif isinstance(begin, datetime.date):
begin_req = begin.isoformat()
else:
raise ValueError(u"begin='%s' 不是合法的日期" % begin)
return {'failed': True}
# end
if end is None:
end = all_records.reverse()[0].date
elif isinstance(end, datetime.date):
end_req = end.isoformat()
else:
raise ValueError(u"end='%s' 不是合法的日期" % end)
return {'failed': True}
# filter by date range
records = all_records.filter(date__range=(begin, end))
records_list = list(records)
# process records
number_rsp = len(records_list)
begin_rsp_py = records_list[0].date
begin_rsp = begin_rsp_py.isoformat()
end_rsp_py = records_list[-1].date
end_rsp = end_rsp_py.isoformat()
# has_earlier, has_later, has_more
has_earlier = False
has_later = False
has_more = False
r_earlier = all_records.filter(date__lt=begin_rsp_py)
r_later = all_records.filter(date__gt=end_rsp_py)
if r_earlier:
has_earlier = True
if r_later:
has_later = True
if has_earlier or has_later:
has_more = True
#
_rdata = {
'failed': False,
'number_req': number_req,
'begin_req': begin_req,
'end_req': end_req,
'number_rsp': number_rsp,
'begin_rsp': begin_rsp,
'end_rsp': end_rsp,
'has_more': has_more,
'has_earlier': has_earlier,
'has_later': has_later,
'data': [],
}
for r in records_list:
# get data
if std:
_data = r.get_data_std()
else:
_data = r.get_data()
# append data
_rdata['data'].append(_data)
# return
return _rdata
# }}}
# get_num_record {{{
def get_num_record(user_id, indicator_id, number, end=None, std=False):
"""
return the *latest* number records.
args 'end' to specify the end date range.
arg 'std=True' to get data in standard unit
return dict format: (data sorted by 'date')
rdata = {
'failed': False,
'number_req': number_of_records_request,
'begin_req': begin_req,
'end_req': end_req,
'number_rsp': number_of_records_response,
'begin_rsp': begin_rsp,
'end_rsp': end_rsp,
'has_more': True|False,
'has_earlier': True|False,
'has_later': True|False,
'data': [r1.get_data(), r2.get_data(), ...],
}
"""
# default parameters
number_req = None
begin_req = None
end_req = None
#
uid = int(user_id)
indid = int(indicator_id)
all_records = im.IndicatorRecord.objects.\
filter(user__id=uid, indicator__id=indid).\
order_by('date', 'created_at')
# check if 'all_records' empty
if not all_records:
return {'failed': True}
# check end date
if end is None:
end = all_records.reverse()[0].date
elif isinstance(end, datetime.date):
end_req = end.isoformat()
else:
raise ValueError(u"end='%s' 不是合法的日期" % end)
return {'failed': True}
records = all_records.filter(date__lte=end)
# check number (required param)
try:
number_req = int(number)
records_list = list(records.reverse()[:number_req])
except ValueError:
raise ValueError(u"number='%s' 错误" % number)
return {'failed': True}
# re-sort by 'date'
records_list.reverse()
# process records
number_rsp = len(records_list)
begin_rsp_py = records_list[0].date
begin_rsp = begin_rsp_py.isoformat()
end_rsp_py = records_list[-1].date
end_rsp = end_rsp_py.isoformat()
# has_earlier, has_later, has_more
has_earlier = False
has_later = False
has_more = False
r_earlier = all_records.filter(date__lt=begin_rsp_py)
r_later = all_records.filter(date__gt=end_rsp_py)
if r_earlier:
has_earlier = True
if r_later:
has_later = True
if has_earlier or has_later:
has_more = True
#
_rdata = {
'failed': False,
'number_req': number_req,
'begin_req': begin_req,
'end_req': end_req,
'number_rsp': number_rsp,
'begin_rsp': begin_rsp,
'end_rsp': end_rsp,
'has_more': has_more,
'has_earlier': has_earlier,
'has_later': has_later,
'data': [],
}
for r in records_list:
# get data
if std:
_data = r.get_data_std()
else:
_data = r.get_data()
# append data
_rdata['data'].append(_data)
# return
return _rdata
# }}}
# get_record_std {{{
def get_record_std(**kwargs):
return get_record(std=True, **kwargs)
# }}}
# get_num_record_std {{{
def get_num_record_std(**kwargs):
return get_num_record(std=True, **kwargs)
# }}}
# types of recommended indicators, and weights {{{
RI_TYPES = {
'ANNOTATION_COLLECTED': u'ANN_CL',
'BLOG_CATCHED': u'BLG_CT',
'BLOG_COLLECTED': u'BLG_CL',
'OTHER': u'OTHER',
'ERROR': u'ERROR', # no 'RelatedIndicator' data
}
RI_WEIGHTS = {
RI_TYPES['ANNOTATION_COLLECTED']: 4.0,
RI_TYPES['BLOG_CATCHED']: 3.0,
RI_TYPES['BLOG_COLLECTED']: 2.0,
RI_TYPES['OTHER']: 1.0,
RI_TYPES['ERROR']: 0.0,
}
# }}}
# calc_indicator_weight {{{
def calc_indicator_weight(user_id, indicator_id):
"""
calculate the weight of given indicator
used by 'recommend_indicator'
return format:
{'weight': w, 'type': t}
"""
# weight = weight_type * relatedindicator.weight
user = User.objects.get(id=user_id)
ri_qs = im.RelatedIndicator.objects.filter(indicator__id=indicator_id)
if not ri_qs:
# queryset empty: no 'RelatedIndicator' for this indicator
type = RI_TYPES['ERROR']
w = 0.0
return {'weight': w, 'type': type}
# queryset not empty
annotation_ri_qs = ri_qs.filter(annotation__collected_by=user)
blogcatch_ri_qs = ri_qs.filter(blog__catched_by=user)
blogcollect_ri_qs = ri_qs.filter(blog__collected_by=user)
weights = []
if annotation_ri_qs:
# related to annotations collected by user
type = RI_TYPES['ANNOTATION_COLLECTED']
for ri in annotation_ri_qs:
w = RI_WEIGHTS[type] * ri.weight
weights.append({'weight': w, 'type': type})
elif blogcatch_ri_qs:
# related to blogs catched by user
type = RI_TYPES['BLOG_CATCHED']
for ri in blogcatch_ri_qs:
w = RI_WEIGHTS[type] * ri.weight
weights.append({'weight': w, 'type': type})
elif blogcollect_ri_qs:
# related to blogs collected by user
type = RI_TYPES['BLOG_COLLECTED']
for ri in blogcollect_ri_qs:
w = RI_WEIGHTS[type] * ri.weight
weights.append({'weight': w, 'type': type})
else:
# other type, use 'ri_qs' here
type = RI_TYPES['OTHER']
for ri in ri_qs:
w = RI_WEIGHTS[type] * ri.weight
weights.append({'weight': w, 'type': type})
# sort results
weights_sorted = sorted(weights, key = lambda item: item['weight'])
# return final result
return weights_sorted[-1]
# }}}
# recommend_indicator {{{
def recommend_indicator(user_id, number):
"""
recommend unfollowed indicator for user,
based on his/her readings and collections.
return a list of recommended indicators in format:
[ {'id': id, 'weight': w, 'type': t}, ... ]
"""
user_id = int(user_id)
number = int(number)
# get unfollowed indicators
u = User.objects.get(id=user_id)
ui, created = im.UserIndicator.objects.get_or_create(user=u)
# XXX: if 'exclude(followed_indicators=ui)' OK??
uf_ind_qs = im.Indicator.objects.exclude(followed_indicators=ui)
# calc weight for each unfollowed indicator
weights = []
for ind in uf_ind_qs:
wdict = calc_indicator_weight(user_id, ind.id)
weights.append({
'id': ind.id,
'weight': wdict.get('weight'),
'type': wdict.get('type'),
})
# sort 'weights' dict list by key 'weight'
weights_sorted = sorted(weights, key=lambda item: item['weight'])
weights_sorted.reverse()
# return results with largest weights
return weights_sorted[:number]
# }}}
# format_data {{{
def format_data(indicator_obj, value=None, val_max=None, val_min=None):
"""
format given data according to the dataType of given Indicator,
make it proper for django templates
e.g.:
if number very big, then display in 'exponent notation'
used in '.views.indicator_status()'
"""
# threshold to show a float number in scientific notation
float_threshold = 9999.9
# float display format: fixed point, exponent notation
fix_fmt = '{:,.1f}' # comma as a thousands separator
exp_fmt = '{:.2e}'
# regex to process exponent notation
rep = re.compile(r'^(?P<sign>[-+]?)(?P<num>\d\.\d+)[eE]\+?(?P<expminus>-?)0*(?P<exp>[1-9]+)$')
# range symbol (range: low $symbol$ high)
range_sym = '∼'
# default return value
value_str = u''
# check given 'indicator_obj'
ind = indicator_obj
if not isinstance(ind, im.Indicator):
print u'Error: given indicator_obj NOT a instance of Indicator'
raise ValueError(u'Given indicator_obj NOT a instance of Indicator')
# get dataType
dataType = ind.dataType
if value is not None:
# a) record float data; b) record integer/pm data;
# c) confine integer/pm data.
if dataType == ind.INTEGER_TYPE:
# TODO: process 'integer type' data
value_str = u'INTEGER: %s' % value
elif dataType == ind.PM_TYPE:
if value == u'+':
value_str = u'阳性(+)'
else:
value_str = u'阳性(-)'
elif dataType in [ind.FLOAT_TYPE, ind.FLOAT_RANGE_TYPE]:
# process float number
value = float(value)
if value <= float_threshold:
value_str = fix_fmt.format(value)
else:
value_expstr = exp_fmt.format(value)
# convert to html exponent format
m = rep.match(value_expstr)
value_str = "%s%s×10<sup>%s%s</sup>" % (
m.group('sign'), m.group('num'),
m.group('expminus'), m.group('exp'))
else:
# unknown XXX
pass
elif (val_max is not None) and (val_min is not None):
# a) record range data; b) confine range.
# val_max
if val_max <= float_threshold:
val_max_str = fix_fmt.format(val_max)
else:
val_max_expstr = exp_fmt.format(val_max)
# convert to html exponent format
m = rep.match(val_max_expstr)
val_max_str = "%s%s×10<sup>%s%s</sup>" % (
m.group('sign'), m.group('num'),
m.group('expminus'), m.group('exp'))
# val_min
if val_min <= float_threshold:
val_min_str = fix_fmt.format(val_min)
else:
val_min_expstr = exp_fmt.format(val_min)
# convert to html exponent format
m = rep.match(val_min_expstr)
val_min_str = "%s%s×10<sup>%s%s</sup>" % (
m.group('sign'), m.group('num'),
m.group('expminus'), m.group('exp'))
# value_str
value_str = u'%s %s %s' % (val_min_str, range_sym, val_max_str)
else:
# other type??
pass
return value_str
# }}}
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