def api_get_scanner_stats():
verbose = True if request.args.get('verbose',
'').lower() == 'true' else False
# Get the scanner statistics from the backend database, defaulting to the quick stats only
stats = database.select_scan_scanner_statistics(verbose)
# If a grade isn't in the database, return it with quantity 0
grade_distribution = {
grade: stats['grade_distribution'].get(grade, 0)
for grade in GRADES
}
# Get the number of grade improvements
grade_improvements_all = stats[
'scan_score_difference_distribution_summation']
# Make sure we only list the ones that are improvements, with a maximum of 5 letter grades
grade_improvements = {k: 0 for k in range(0, 6)}
for k, v in grade_improvements_all.items():
grade_improvements[min(5, max(0, int(k / 20)))] += v
return jsonify({
'gradeDistribution': grade_distribution,
'gradeImprovements': grade_improvements,
'misc': {
'mostRecentScanDate':
stats['most_recent_scan_datetime'],
'numHoursWithoutScansInLast24Hours':
24 - len(stats['recent_scans']) if verbose else -1,
'numImprovedSites':
sum([v for k, v in grade_improvements_all.items() if k > 0]),
'numScans':
stats['scan_count'],
'numScansLast24Hours':
sum(stats['recent_scans'].values()) if verbose else -1,
'numSuccessfulScans':
sum(grade_distribution.values()),
'numUniqueSites':
sum(grade_improvements_all.values())
},
'recent': {
'scans': {
'best': database.select_scan_recent_finished_scans(
13, 90, 1000), # 13, as there are 13 grades
'recent': database.select_scan_recent_finished_scans(
13, 0, 1000), # 13, as there are 13 grades
'worst': database.select_scan_recent_finished_scans(
13, 0, 20), # 13, as there are 13 grades
'numPerHourLast24Hours': stats['recent_scans'],
},
},
'states': stats['states'],
})
def api_get_recent_scans():
try:
# Get the min and max scores, if they're there
min_score = int(request.args.get('min-score', 0))
max_score = int(request.args.get('max-score', 1000))
min_score = max(0, min_score)
max_score = min(1000, max_score)
except ValueError:
return {'error': 'invalid-parameters'}
return jsonify(database.select_scan_recent_finished_scans(min_score=min_score, max_score=max_score))
def api_get_recent_scans():
try:
# Get the min and max scores, if they're there
min_score = int(request.args.get('min-score', 0))
max_score = int(request.args.get('max-score', 1000))
min_score = max(0, min_score)
max_score = min(1000, max_score)
except ValueError:
return {'error': 'invalid-parameters'}
return jsonify(
database.select_scan_recent_finished_scans(min_score=min_score,
max_score=max_score))
def api_get_scanner_stats():
pretty = True if request.args.get('pretty',
'').lower() == 'true' else False
verbose = True if request.args.get('verbose',
'').lower() == 'true' else False
# Get the scanner statistics from the backend database, defaulting to the quick stats only
stats = database.select_scan_scanner_statistics(verbose)
# If a grade isn't in the database, return it with quantity 0
grade_distribution = {
grade: stats['grade_distribution'].get(grade, 0)
for grade in GRADES
}
grade_distribution_all_scans = {
grade: stats['grade_distribution_all_scans'].get(grade, 0)
for grade in GRADES
}
# Get the number of grade improvements
grade_improvements_all = stats[
'scan_score_difference_distribution_summation']
# Make sure we only list the ones that are improvements, with a maximum of 5 letter grades
grade_improvements = {k: 0 for k in range(0, 6)}
for k, v in grade_improvements_all.items():
grade_improvements[min(5, max(0, int(k / 20)))] += v
# Convert all the datetimes to HTTP strings
stats['most_recent_scan_datetime'] = http_date(
stats['most_recent_scan_datetime'].utctimetuple())
stats['recent_scans'] = {
http_date(i.utctimetuple()): v
for i, v in stats['recent_scans']
}
resp = make_response(
json.dumps(
{
'gradeDistribution': {
'latest': grade_distribution,
'all': grade_distribution_all_scans,
},
'gradeImprovements': grade_improvements,
'misc': {
'mostRecentScanDate':
stats['most_recent_scan_datetime'],
'numHoursWithoutScansInLast24Hours':
24 - len(stats['recent_scans']) if verbose else -1,
'numImprovedSites':
sum([
v for k, v in grade_improvements_all.items() if k > 0
]),
'numScans':
stats['scan_count'],
'numScansLast24Hours':
sum(stats['recent_scans'].values()) if verbose else -1,
'numSuccessfulScans':
sum(grade_distribution_all_scans.values()),
'numUniqueSites':
sum(grade_improvements_all.values())
},
'recent': {
'scans': {
'best':
database.select_scan_recent_finished_scans(
13, 90, 1000), # 13, as there are 13 grades
'recent':
database.select_scan_recent_finished_scans(
13, 0, 1000), # 13, as there are 13 grades
'worst':
database.select_scan_recent_finished_scans(
13, 0, 20), # 13, as there are 13 grades
'numPerHourLast24Hours':
stats['recent_scans'],
},
},
'states':
{state: stats['states'].get(state, 0)
for state in STATES},
},
indent=4 if pretty else None,
sort_keys=pretty,
default=str))
resp.mimetype = 'application/json'
return resp