def stats(self, since_months=4):
stats = StatsQuestioner
stats_questioner = stats(DBSession)
date_from, date_to = stats.get_month_period(int(since_months))
by_months = stats_questioner.by_complete_period(
period=stats.PERIOD_MONTH, date_from=date_from, date_to=date_to
).all()
months = stats.extract(by_months, stats.FIELD_DATE)
stats_month = stats.extract_stats(query_result=by_months, sources=SOURCES.keys())
flat_month = stats.flat_query_by_y(
query_result=by_months, sources=SOURCES.keys(), date_value_callback=lambda date: date.strftime("%Y-%m")
)
by_weeks = stats_questioner.by_complete_period(stats.PERIOD_WEEK, date_from=date_from, date_to=date_to).all()
weeks = stats.extract(by_weeks, stats.FIELD_DATE)
stats_week = stats.extract_stats(query_result=by_weeks, sources=SOURCES.keys())
flat_week = stats.flat_query_by_y(
query_result=by_weeks, sources=SOURCES.keys(), date_value_callback=lambda date: date.strftime("%Y-%m-%d")
)
return dict(
sources=SOURCES,
stats_month=stats_month,
flat_month=flat_month,
stats_week=stats_week,
flat_week=flat_week,
months=months,
weeks=weeks,
flat_x_field=stats.FIELDS[stats.FLAT_X_FIELD],
flat_y_fields=SOURCES.keys(),
sources_labels=[SOURCES[source].label for source in SOURCES],
)
def stats(self, since_months=4, *args, **kwargs):
stats = StatsQuestioner
stats_questioner = stats(DBSession)
date_from, date_to = stats.get_month_period(int(since_months))
by_months = stats_questioner.by_complete_period(
period=stats.PERIOD_MONTH,
date_from=date_from,
date_to=date_to,
).all()
months = stats.extract(by_months, stats.FIELD_DATE)
stats_month = stats.extract_stats(query_result=by_months,
sources=SOURCES.keys())
flat_month = stats.flat_query_by_y(
query_result=by_months,
sources=SOURCES.keys(),
date_value_callback=lambda date: date.strftime('%Y-%m'))
by_weeks = stats_questioner.by_complete_period(
stats.PERIOD_WEEK,
date_from=date_from,
date_to=date_to,
).all()
weeks = stats.extract(by_weeks, stats.FIELD_DATE)
stats_week = stats.extract_stats(query_result=by_weeks,
sources=SOURCES.keys())
flat_week = stats.flat_query_by_y(
query_result=by_weeks,
sources=SOURCES.keys(),
date_value_callback=lambda date: date.strftime('%Y-%m-%d'))
return dict(
sources=SOURCES,
stats_month=stats_month,
flat_month=flat_month,
stats_week=stats_week,
flat_week=flat_week,
months=months,
weeks=weeks,
flat_x_field=stats.FIELDS[stats.FLAT_X_FIELD],
flat_y_fields=SOURCES.keys(),
sources_labels=[SOURCES[source].label for source in SOURCES])
def origine_des_annonces_diffusees(self, *args, **kwargs):
sources_last_crawl = {}
sorted_sources = collections.OrderedDict(
sorted(SOURCES.items(), key=lambda x: x[1].label))
for source_name in sorted_sources:
try:
sources_last_crawl[source_name] = DBSession.query(Log.datetime) \
.filter(Log.source == source_name) \
.order_by(Log.datetime.desc()) \
.limit(1) \
.one()[0]
except NoResultFound:
sources_last_crawl[source_name] = None
return dict(sources=sorted_sources,
existing_fields=existing_fields,
sources_last_crawl=sources_last_crawl)
def sources(self):
sources_last_crawl = {}
sorted_sources = collections.OrderedDict(sorted(SOURCES.items(), key=lambda x: x[1].label))
for source_name in sorted_sources:
try:
sources_last_crawl[source_name] = DBSession.query(Log.datetime) \
.filter(Log.source == source_name) \
.order_by(Log.datetime.desc()) \
.limit(1)\
.one()[0]
except NoResultFound:
sources_last_crawl[source_name] = None
return dict(
sources=sorted_sources,
existing_fields=existing_fields,
sources_last_crawl=sources_last_crawl
)
