def test_add_group(self):
subject = u'组名'
subtitle = u'子标题'
subtitle2 = u'首页子标题'
description = u'描述'
create_time = datetime.now()
update_time = datetime.now()
reason = u'组合理由'
highlight = u'组合亮点'
reason_update = u'更新理由'
related = u'相关说明'
group = Group.add(subject, subtitle, subtitle2, description,
create_time, update_time, reason, highlight,
reason_update, related)
self.assertTrue(group)
self.assertEqual(group.subject, subject)
self.assertEqual(group.subtitle, subtitle)
self.assertEqual(group.subtitle2, subtitle2)
self.assertEqual(group.description, description)
self.assertEqual(group.create_time.date(), create_time.date())
self.assertEqual(group.update_time.date(), update_time.date())
self.assertEqual(group.reason, reason)
self.assertEqual(group.highlight, highlight)
self.assertEqual(group.reason_update, reason_update)
self.assertEqual(group.related, related)
def detail(id, follow=False):
cur_path = 'fund'
group = Group.get(id)
funds = group.get_funds_m2m()
if g.user:
is_liked = Subscription.is_like(group.id, g.user.id)
if not group:
return redirect('/')
# 读取周报
weeklys = FundWeekly.get_articles_by_category(category=group.id, limit=2)
return render_template('fund/detail.html', **locals())
def income_user_chart2():
""" 取得用户的基金组合关注收益率 for new chart """
if not g.user:
return jsonify(r=False)
likes = Subscription.get_by_user(g.user.id)
info = []
incomes = []
jincomes = {}
for like in likes:
least_income = None
incomes = IncomeUser.get_near_day(like.group_id, g.user.id, 7)[::-1]
for income in incomes:
key = str(income.day)[5:].replace('-', '/')
if not jincomes.get(key):
jincomes[key] = {}
jincomes[key][str(income.group_id)] = income.income
least_income = income.income
group = Group.get(like.group_id)
arts = FundWeekly.get_articles_by_category(category=group.id, limit=1)
if len(arts):
group.article = arts[0]
gjson = {
'group_id':
like.group_id,
'group_subject':
group.subject,
# 'group_total_income': group.total_income,
'like_date':
like.create_time.strftime('%Y.%m.%d'),
'group_yesterday_income':
group.yesterday_income,
'group_created':
group.create_time.strftime('%Y.%m.%d'),
'group_income':
least_income,
'group_article':
group.article.id if hasattr(group, 'article') else None,
'group_article_read':
group.article.has_read(g.user.id)
if hasattr(group, 'article') else None,
}
info.append(gjson)
return jsonify(r=True, info=info, incomes=jincomes)
def income_user_chart():
""" 取得用户的基金组合关注收益率 """
if not g.user:
return jsonify(r=False)
likes = Subscription.get_by_user(g.user.id)
user_incomes = []
for like in likes:
incomes = IncomeUser.get_near_day(like.group_id, g.user.id, 7)[::-1]
group = Group.get(like.group_id)
arts = FundWeekly.get_articles_by_category(category=group.id, limit=1)
if len(arts):
group.article = arts[0]
like_income = {
'like_date':
like.create_time.strftime('%Y.%m.%d'),
'group_id':
like.group_id,
'group_subject':
group.subject,
# 'group_total_income': group.total_income,
'group_yesterday_income':
group.yesterday_income,
'group_created':
group.create_time.strftime('%Y.%m.%d'),
'group_article':
group.article.id if hasattr(group, 'article') else None,
'group_article_read':
group.article.has_read(g.user.id)
if hasattr(group, 'article') else None,
'data': [],
}
for income in incomes:
like_income['data'].append({
'id': income.id,
'group_id': income.group_id,
'day': income.day.strftime('%Y-%m-%d'),
'income': income.income
})
user_incomes.append(like_income)
return jsonify(r=True, incomes=user_incomes)
def income_chart(group_id):
""" 取得一个基金组合的收益率 """
incomes = Income.get_near_day(group_id, 1000)[::-1]
group = Group.get(group_id)
data = []
least_income = 0
for income in incomes:
data.append({
'id': income.id,
'group_id': income.group_id,
'day': income.day.strftime('%Y-%m-%d'),
'income': income.income,
'income_stock': income.income_stock,
})
least_income = income.income
return jsonify(r=True,
data=data,
group_subject=group.subject,
group_created=group.create_time.strftime('%Y-%m-%d'),
group_income=least_income)
def home():
cur_path = 'fund'
groups_without_like = Group.paginate()
user_like_count = Subscription.get_user_count()
if not g.user:
return render_template('fund/index.html', **locals())
# 取用户like的组合
likes = Subscription.get_by_user(g.user.id)
groups = []
for group in groups_without_like:
group.is_liked = False
arts = FundWeekly.get_articles_by_category(category=group.id, limit=1)
if len(arts):
group.article = arts[0]
for like in likes:
if str(group.id) == str(like.group_id):
group.is_liked = True
break
groups.append(group)
return render_template('fund/user.html', **locals())
def main():
"""计算历史收益"""
client = MassClient(MASS_API_URL, MASS_API_TOKEN)
groups = Group.paginate()
for group in groups:
compute_history_income(group, client)
from datetime import datetime
from core.models.fund.group import Group
from core.models.fund.fund import Fund
from core.models.fund.income import Income
if __name__ == '__main__':
g1 = Group.add(
u"主题精选", u"基金投资组合", u"充分参与3-5个优势主题，灵活规避单一板块波动风险",
u"国企改革、一带一路、互联网+等众多主题基金短期波动剧烈，主题精选同时"
u"把握多个未来潜力主题，规避单一板块波动风险，尽享市场收益。", datetime(year=2014, month=12,
day=31),
datetime(year=2014, month=12,
day=31), u"好规划基金研究团队通过对市场趋势与热点机会深入研究,把握不同热门主题"
u"的轮动规律,精选最适合当前市场的主题构建组合。并紧跟市场变化，及时动"
u"态调整组合配置，分享主题收益，充分规避风险。", u"同时参与到一带一路、医药医疗、国企改革、并购重组、信息产业五大主题的"
u"基金投资中，充分享受市场利好", u"结合近期对市场主题轮动规律的深入研究，“主题精选”组合优选“国企改革”、"
u"“一带一路”、“互联网+”、“重组概念”、“医药”等五大主题，并筛选相关主题"
u"概念下，具备优势的基金产品。", u"经济转型、改革提速的大背景下，主题型热点机会突出，但主题型行情分布广"
u"泛，且单一主题阶段性特征鲜明，波动幅度巨大，而且，同一主题下的基金产"
u"品同样差异悬殊，普通投资者难于把握。“主题精选”组合为您精选未来市场最"
u"具优势的投资主题，并结合市场变化，及时动态调整，而且帮您优选相关主题"
u"下最具优势的基金，让您充分分享牛市下的主题盛宴。")
g1.add_fund(Fund.add(u'470006', u'汇添富医药'),
u"医药主题基金，国内医药行业长期投资价值突出，该基金在医药主题基金中具"
u"备优势。")
g1.add_fund(Fund.add(u'100056', u'富国低碳环保'),
u"虽名为低碳环保主题基金，但所投主题阶段调整较大，基金经历在主题机会把"
u"握及股票选择方面，均展现出突出的能力。")
g1.add_fund(Fund.add(u'000925', u'汇添富外延增长主题'),
params = (day,)
db.execute(sql, params)
db.commit()
def clear_income_user_by_date(day):
sql = 'delete from funcombo_income_user where day=%s'
params = (day,)
db.execute(sql, params)
db.commit()
def update_net_worth(group, client):
sql = ('select id, day from funcombo_income'
' where group_id=%s and net_worth<0.000001')
params = (group.id)
rs = db.execute(sql, params)
for x in rs:
net_worth = compute_net_worth(group, x[1], client)
sql = 'update funcombo_income set net_worth=%s where id=%s'
params = (net_worth, x[0])
db.execute(sql, params)
db.commit()
if __name__ == '__main__':
client = MassClient(MASS_API_URL, MASS_API_TOKEN)
groups = Group.paginate()
for group in groups:
update_net_worth(group, client)
clear_income_cache(group)