def show_watched(request):
validate_user(request.user)
matching_companies = user_watchlist(request.user)
timeframe = Timeframe()
return show_companies(
matching_companies, request, timeframe, {
"title":
"Stocks you are watching",
"sentiment_heatmap_title":
"Watchlist stocks sentiment: {}".format(timeframe.description),
})
def render_to_response(self, context, **kwargs):
"""
Invoke show_companies()
"""
assert kwargs is not None
context.update(self.additional_context(context))
return show_companies( # will typically invoke show_companies() to share code across all views
self.qs,
self.request,
self.timeframe,
context,
template_name=self.template_name
)
def show_watched(request):
validate_user(request.user)
matching_companies = user_watchlist(request.user)
timeframe = Timeframe()
return show_companies(
matching_companies,
request,
timeframe,
{
"title": "Stocks you are watching",
"sentiment_heatmap_title": "Watchlist sentiment heatmap",
},
)
def show_outliers(request, stocks, n_days=30, extra_context=None):
assert stocks is not None
assert n_days is not None # typically integer, but desired_dates() is polymorphic
timeframe = Timeframe(past_n_days=n_days)
cip = selected_cached_stocks_cip(stocks, timeframe)
outliers = detect_outliers(stocks, cip)
extra_context = {
"title": "Unusual stock behaviours: {}".format(timeframe.description),
"sentiment_heatmap_title": "Outlier stocks: sentiment",
}
return show_companies(
outliers,
request,
timeframe,
extra_context,
)
def render_to_response(self, context):
context.update({
"title": "Find companies by financial metric",
"sentiment_heatmap_title": "Matching stock sentiment",
})
warning(
self.request,
"Due to experimental data ingest, results may be wrong/inaccurate/misleading. Use at own risk",
)
return show_companies(
self.object_list, # ie. return result from self.get_queryset()
self.request,
Timeframe(past_n_days=30),
context,
self.template_name,
)