def gae_stats_memcache():
selected_metric = flask.request.args.get('metric', 'hit_ratio')
# The tuples are (database_field_name, friendly_label).
metrics = (('hit_ratio', 'hit ratio'), ('hit_count', 'hit count'),
('miss_count', 'miss count'), ('item_count', 'item count'),
('total_cache_size_bytes', 'total cache size (bytes)'),
('oldest_item_age_seconds', 'oldest item age (seconds)'))
records = data.gae_dashboard_reports(db, 'memcache')
date_record_pairs = time_series(records, 'utc_datetime')
return flask.render_template('gae-stats/metrics-in-time-series.html',
title='Memcache Statistics',
date_record_pairs=date_record_pairs,
metrics=metrics,
selected_metric=selected_metric)
def gae_stats_instances():
selected_metric = flask.request.args.get('metric', 'num_instances')
# The tuples are (database_field_name, friendly_label).
metrics = (('num_instances', 'number of instances'),
('average_qps', 'average qps'),
('average_latency_ms', 'average latency (ms)'),
('average_memory_mb', 'average memory (MB)'))
records = data.gae_dashboard_reports(db, 'instance')
date_record_pairs = time_series(records, 'utc_datetime')
return flask.render_template('gae-stats/metrics-in-time-series.html',
title='Instance Usage',
date_record_pairs=date_record_pairs,
metrics=metrics,
selected_metric=selected_metric)
def gae_stats_instances():
selected_metric = flask.request.args.get('metric', 'num_instances')
# The tuples are (database_field_name, friendly_label).
metrics = (('num_instances', 'number of instances'),
('average_qps', 'average qps'), ('average_latency_ms',
'average latency (ms)'),
('average_memory_mb', 'average memory (MB)'))
records = data.gae_dashboard_reports(db, 'instance')
date_record_pairs = time_series(records, 'utc_datetime')
return flask.render_template('gae-stats/metrics-in-time-series.html',
title='Instance Usage',
date_record_pairs=date_record_pairs,
metrics=metrics,
selected_metric=selected_metric)
def gae_stats_memcache():
selected_metric = flask.request.args.get('metric', 'hit_ratio')
# The tuples are (database_field_name, friendly_label).
metrics = (('hit_ratio', 'hit ratio'),
('hit_count', 'hit count'),
('miss_count', 'miss count'),
('item_count', 'item count'),
('total_cache_size_bytes', 'total cache size (bytes)'),
('oldest_item_age_seconds', 'oldest item age (seconds)'))
records = data.gae_dashboard_reports(db, 'memcache')
date_record_pairs = time_series(records, 'utc_datetime')
return flask.render_template('gae-stats/metrics-in-time-series.html',
title='Memcache Statistics',
date_record_pairs=date_record_pairs,
metrics=metrics,
selected_metric=selected_metric)
def gae_stats_instances():
selected_metric = flask.request.args.get("metric", "num_instances")
# The tuples are (database_field_name, friendly_label).
metrics = (
("num_instances", "number of instances"),
("average_qps", "average qps"),
("average_latency_ms", "average latency (ms)"),
("average_memory_mb", "average memory (MB)"),
)
records = data.gae_dashboard_reports(db, "instance")
date_record_pairs = time_series(records, "utc_datetime")
return flask.render_template(
"gae-stats/metrics-in-time-series.html",
title="Instance Usage",
date_record_pairs=date_record_pairs,
metrics=metrics,
selected_metric=selected_metric,
)
def gae_stats_dashboard_charts():
chart_name = flask.request.args.get('chart', 'Requests/Second')
if chart_name not in _dashboard_chart_fields:
return flask.current_app.response_class(
'Unrecognized chart name: "%s"' % chart_name, status=400)
if isinstance(_dashboard_chart_fields[chart_name], basestring):
chart_fields = [_dashboard_chart_fields[chart_name]]
else:
chart_fields = _dashboard_chart_fields[chart_name].values()
records = data.gae_dashboard_reports(db, 'chart')
date_record_pairs = time_series(records, 'utc_datetime')
# TODO(chris): add support for grouping metrics to
# gae-stats/metrics-in-time-series.html and then use that.
return flask.render_template('gae-stats/dashboard-charts.html',
title='Dashboard Charts',
date_record_pairs=date_record_pairs,
record_fields=chart_fields,
chart_names=_dashboard_chart_fields.keys(),
selected_chart=chart_name)
def gae_stats_dashboard_charts():
chart_name = flask.request.args.get('chart', 'Requests/Second')
if chart_name not in _dashboard_chart_fields:
return flask.current_app.response_class(
'Unrecognized chart name: "%s"' % chart_name, status=400)
if isinstance(_dashboard_chart_fields[chart_name], basestring):
chart_fields = [_dashboard_chart_fields[chart_name]]
else:
chart_fields = _dashboard_chart_fields[chart_name].values()
records = data.gae_dashboard_reports(db, 'chart')
date_record_pairs = time_series(records, 'utc_datetime')
# TODO(chris): add support for grouping metrics to
# gae-stats/metrics-in-time-series.html and then use that.
return flask.render_template('gae-stats/dashboard-charts.html',
title='Dashboard Charts',
date_record_pairs=date_record_pairs,
record_fields=chart_fields,
chart_names=_dashboard_chart_fields.keys(),
selected_chart=chart_name)
def gae_stats_memcache():
selected_metric = flask.request.args.get("metric", "hit_ratio")
# The tuples are (database_field_name, friendly_label).
metrics = (
("hit_ratio", "hit ratio"),
("hit_count", "hit count"),
("miss_count", "miss count"),
("item_count", "item count"),
("total_cache_size_bytes", "total cache size (bytes)"),
("oldest_item_age_seconds", "oldest item age (seconds)"),
)
records = data.gae_dashboard_reports(db, "memcache")
date_record_pairs = time_series(records, "utc_datetime")
return flask.render_template(
"gae-stats/metrics-in-time-series.html",
title="Memcache Statistics",
date_record_pairs=date_record_pairs,
metrics=metrics,
selected_metric=selected_metric,
)