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# Authors:
# Jason Gerard DeRose <jderose@novacut.com>
# Akshat Jain <ssj6akshat1234@gmail.com>
# David Green <david4dev@gmail.com>
#
# dmedia: distributed media library
# Copyright (C) 2010 Jason Gerard DeRose <jderose@novacut.com>
#
# This file is part of `dmedia`.
#
# `dmedia` is free software: you can redistribute it and/or modify it under the
# terms of the GNU Affero General Public License as published by the Free
# Software Foundation, either version 3 of the License, or (at your option) any
# later version.
#
# `dmedia` is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
# A PARTICULAR PURPOSE. See the GNU Affero General Public License for more
# details.
#
# You should have received a copy of the GNU Affero General Public License along
# with `dmedia`. If not, see <http://www.gnu.org/licenses/>.
"""
Store media files based on content-hash.
"""
import time
from copy import deepcopy
from subprocess import check_call
import logging
import microfiber
from filestore import FileStore, scandir, batch_import_iter
from dmedia import workers, schema
log = logging.getLogger()
def accumulate_stats(accum, stats):
for (key, d) in stats.items():
if key not in accum:
accum[key] = {'count': 0, 'bytes': 0}
for (k, v) in d.items():
accum[key][k] += v
class ImportWorker(workers.CouchWorker):
def __init__(self, env, q, key, args):
super().__init__(env, q, key, args)
self.basedir = args[0]
self.id = None
self.doc = None
def execute(self, basedir):
self.start()
self.scan()
self.import_all()
def start(self):
self.doc = schema.create_import(self.basedir,
machine_id=self.env.get('machine_id'),
batch_id=self.env.get('batch_id'),
)
self.id = self.doc['_id']
self.db.save(self.doc)
self.emit('started', self.id)
def scan(self):
self.batch = scandir(self.basedir)
self.doc['stats']['total'] = {
'bytes': self.batch.size,
'count': self.batch.count,
}
self.doc['import_order'] = [file.name for file in self.batch.files]
self.doc['files'] = dict(
(file.name, {'bytes': file.size, 'mtime': file.mtime})
for file in self.batch.files
)
self.db.save(self.doc)
self.emit('scanned', self.batch.count, self.batch.size)
def get_filestores(self):
stores = []
for doc in self.env['filestores']:
fs = FileStore(doc['parentdir'])
fs.id = doc['_id']
fs.copies = doc['copies']
stores.append(fs)
return stores
def import_all(self):
stores = self.get_filestores()
try:
for (status, file, doc) in self.import_iter(*stores):
self.doc['stats'][status]['count'] += 1
self.doc['stats'][status]['bytes'] += file.size
self.doc['files'][file.name]['status'] = status
if doc is not None:
self.db.save(doc)
self.doc['files'][file.name]['id'] = doc['_id']
self.emit('progress', file.size)
self.doc['time_end'] = time.time()
finally:
self.db.save(self.doc)
self.emit('finished', self.doc['stats'])
def import_iter(self, *filestores):
common = {
'import_id': self.id,
'machine_id': self.env.get('machine_id'),
'batch_id': self.env.get('batch_id'),
}
for (file, ch) in batch_import_iter(self.batch, *filestores):
if ch is None:
assert file.size == 0
yield ('empty', file, None)
continue
stored = dict(
(fs.id, {'copies': fs.copies, 'mtime': fs.stat(ch.id).mtime})
for fs in filestores
)
try:
doc = self.db.get(ch.id)
doc['stored'].update(stored)
yield ('duplicate', file, doc)
except microfiber.NotFound:
doc = schema.create_file(
ch.id, ch.file_size, ch.leaf_hashes, stored
)
doc['import'] = {
'src': file.name,
'mtime': file.mtime,
}
doc['import'].update(common)
doc['ctime'] = file.mtime
yield ('new', file, doc)
class ImportManager(workers.CouchManager):
def __init__(self, env, callback=None):
super().__init__(env, callback)
self.doc = None
self._reset_counters()
if not workers.isregistered(ImportWorker):
workers.register(ImportWorker)
def _reset_counters(self):
self._count = 0
self._total_count = 0
self._bytes = 0
self._total_bytes = 0
def get_worker_env(self, worker, key, args):
env = deepcopy(self.env)
env['batch_id'] = self.doc['_id']
return env
def first_worker_starting(self):
assert self.doc is None
assert self._workers == {}
self._reset_counters()
self.doc = schema.create_batch(self.env.get('machine_id'))
self.db.save(self.doc)
self.emit('batch_started', self.doc['_id'])
def last_worker_finished(self):
assert self._workers == {}
self.doc['time_end'] = time.time()
self.db.save(self.doc)
self.emit('batch_finished', self.doc['_id'], self.doc['stats'])
self.doc = None
def on_error(self, key, exception, message):
super(ImportManager, self).on_error(key, exception, message)
if self.doc is None:
return
self.doc['errors'].append(
{'key': key, 'name': exception, 'msg': message}
)
self.db.save(self.doc)
def on_started(self, key, import_id):
self.doc['imports'].append(import_id)
self.db.save(self.doc)
self.emit('import_started', key, import_id)
def on_scanned(self, key, total_count, total_bytes):
self._total_count += total_count
self._total_bytes += total_bytes
self.emit('batch_progress',
self._count, self._total_count,
self._bytes, self._total_bytes,
)
def on_progress(self, key, file_size):
self._count += 1
self._bytes += file_size
self.emit('batch_progress',
self._count, self._total_count,
self._bytes, self._total_bytes,
)
def on_finished(self, key, stats):
accumulate_stats(self.doc['stats'], stats)
self.db.save(self.doc)
def get_batch_progress(self):
with self._lock:
return (self._count, self._total_count, self._bytes, self._total_bytes)
def start_import(self, base):
return self.start_job('ImportWorker', base, base)
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