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