SickGear/lib/boto/services/result.py

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#!/usr/bin/env python
# Copyright (c) 2006,2007 Mitch Garnaat http://garnaat.org/
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish, dis-
# tribute, sublicense, and/or sell copies of the Software, and to permit
# persons to whom the Software is furnished to do so, subject to the fol-
# lowing conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
# ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
# SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
import os
from datetime import datetime, timedelta
from boto.utils import parse_ts
import boto
class ResultProcessor(object):
LogFileName = 'log.csv'
def __init__(self, batch_name, sd, mimetype_files=None):
self.sd = sd
self.batch = batch_name
self.log_fp = None
self.num_files = 0
self.total_time = 0
self.min_time = timedelta.max
self.max_time = timedelta.min
self.earliest_time = datetime.max
self.latest_time = datetime.min
self.queue = self.sd.get_obj('output_queue')
self.domain = self.sd.get_obj('output_domain')
def calculate_stats(self, msg):
start_time = parse_ts(msg['Service-Read'])
end_time = parse_ts(msg['Service-Write'])
elapsed_time = end_time - start_time
if elapsed_time > self.max_time:
self.max_time = elapsed_time
if elapsed_time < self.min_time:
self.min_time = elapsed_time
self.total_time += elapsed_time.seconds
if start_time < self.earliest_time:
self.earliest_time = start_time
if end_time > self.latest_time:
self.latest_time = end_time
def log_message(self, msg, path):
keys = sorted(msg.keys())
if not self.log_fp:
self.log_fp = open(os.path.join(path, self.LogFileName), 'a')
line = ','.join(keys)
self.log_fp.write(line+'\n')
values = []
for key in keys:
value = msg[key]
if value.find(',') > 0:
value = '"%s"' % value
values.append(value)
line = ','.join(values)
self.log_fp.write(line+'\n')
def process_record(self, record, path, get_file=True):
self.log_message(record, path)
self.calculate_stats(record)
outputs = record['OutputKey'].split(',')
if 'OutputBucket' in record:
bucket = boto.lookup('s3', record['OutputBucket'])
else:
bucket = boto.lookup('s3', record['Bucket'])
for output in outputs:
if get_file:
key_name = output.split(';')[0]
key = bucket.lookup(key_name)
file_name = os.path.join(path, key_name)
print('retrieving file: %s to %s' % (key_name, file_name))
key.get_contents_to_filename(file_name)
self.num_files += 1
def get_results_from_queue(self, path, get_file=True, delete_msg=True):
m = self.queue.read()
while m:
if 'Batch' in m and m['Batch'] == self.batch:
self.process_record(m, path, get_file)
if delete_msg:
self.queue.delete_message(m)
m = self.queue.read()
def get_results_from_domain(self, path, get_file=True):
rs = self.domain.query("['Batch'='%s']" % self.batch)
for item in rs:
self.process_record(item, path, get_file)
def get_results_from_bucket(self, path):
bucket = self.sd.get_obj('output_bucket')
if bucket:
print('No output queue or domain, just retrieving files from output_bucket')
for key in bucket:
file_name = os.path.join(path, key)
print('retrieving file: %s to %s' % (key, file_name))
key.get_contents_to_filename(file_name)
self.num_files + 1
def get_results(self, path, get_file=True, delete_msg=True):
if not os.path.isdir(path):
os.mkdir(path)
if self.queue:
self.get_results_from_queue(path, get_file)
elif self.domain:
self.get_results_from_domain(path, get_file)
else:
self.get_results_from_bucket(path)
if self.log_fp:
self.log_fp.close()
print('%d results successfully retrieved.' % self.num_files)
if self.num_files > 0:
self.avg_time = float(self.total_time)/self.num_files
print('Minimum Processing Time: %d' % self.min_time.seconds)
print('Maximum Processing Time: %d' % self.max_time.seconds)
print('Average Processing Time: %f' % self.avg_time)
self.elapsed_time = self.latest_time-self.earliest_time
print('Elapsed Time: %d' % self.elapsed_time.seconds)
tput = 1.0 / ((self.elapsed_time.seconds/60.0) / self.num_files)
print('Throughput: %f transactions / minute' % tput)