forked from LibreTranslate/Locomotive
-
Notifications
You must be signed in to change notification settings - Fork 0
/
net.py
187 lines (149 loc) · 7.06 KB
/
net.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
import requests
import math
import os
import time
try:
import queue
except ImportError:
import Queue as queue
import threading
from urllib3.exceptions import ReadTimeoutError
class AtomicCounter:
"""Atomic, thread-safe counter."""
def __init__(self, val=0):
"""Initialize a new atomic counter to given initial value (default 0)."""
self.value = val
self.lock = threading.Lock()
def increment(self, val=1):
"""Atomically increment the counter return the new value."""
with self.lock:
self.value += val
return self.value
class NetError(Exception):
pass
class RangeNotAvailableError(NetError):
pass
def download(url, destination, progress_callback=None, basename=None, parallel_downloads=16, parallel_chunks_size=10, timeout=30):
"""Download files in parallel (download accelerator)
Args:
url (str): URL to download
destination (str): directory where to download file. If the directory does not exist, it will be created.
progress_callback (function): an optional callback with one parameter, the download progress percentage.
parallel_downloads (int): maximum number of parallel downloads if the node supports http range.
parallel_chunks_size (int): size in MB of chunks for parallel downloads
timeout (int): seconds before timing out
Returns:
str: path to file
"""
if not os.path.exists(destination):
os.makedirs(destination, exist_ok=True)
try:
download_stream = requests.get(url, timeout=timeout, stream=True)
headers = download_stream.headers
if basename is not None:
output_path = os.path.join(destination, basename)
else:
output_path = os.path.join(destination, os.path.basename(url))
# Keep track of download progress (if possible)
content_length = download_stream.headers.get('content-length')
total_length = int(content_length) if content_length is not None else None
downloaded = 0
chunk_size = int(parallel_chunks_size * 1024 * 1024)
use_fallback = False
accept_ranges = headers.get('accept-ranges')
# Can we do parallel downloads?
if accept_ranges is not None and accept_ranges.lower() == 'bytes' and total_length is not None and total_length > chunk_size and parallel_downloads > 1:
num_chunks = int(math.ceil(total_length / float(chunk_size)))
num_workers = parallel_downloads
class nonloc:
completed_chunks = AtomicCounter(0)
merge_chunks = [False] * num_chunks
error = None
def merge():
current_chunk = 0
with open(output_path, "wb") as out_file:
while current_chunk < num_chunks and nonloc.error is None:
if nonloc.merge_chunks[current_chunk]:
chunk_file = "%s.part%s" % (output_path, current_chunk)
with open(chunk_file, "rb") as fd:
out_file.write(fd.read())
os.unlink(chunk_file)
current_chunk += 1
else:
time.sleep(0.1)
def worker():
while True:
task = q.get()
part_num, bytes_range = task
if bytes_range is None or nonloc.error is not None:
q.task_done()
break
try:
# Download chunk
res = requests.get(url, stream=True, timeout=timeout, headers={'Range': 'bytes=%s-%s' % bytes_range})
if res.status_code == 206:
with open("%s.part%s" % (output_path, part_num), 'wb') as fd:
bytes_written = 0
try:
for chunk in res.iter_content(4096):
bytes_written += fd.write(chunk)
except (requests.exceptions.Timeout, requests.exceptions.ConnectionError) as e:
raise NetError(str(e))
if bytes_written != (bytes_range[1] - bytes_range[0] + 1):
# Process again
q.put((part_num, bytes_range))
return
with nonloc.completed_chunks.lock:
nonloc.completed_chunks.value += 1
if progress_callback is not None:
progress_callback(100.0 * nonloc.completed_chunks.value / num_chunks)
nonloc.merge_chunks[part_num] = True
else:
nonloc.error = RangeNotAvailableError()
except NetError as e:
time.sleep(5)
q.put((part_num, bytes_range))
except Exception as e:
nonloc.error = e
finally:
q.task_done()
q = queue.PriorityQueue()
threads = []
for i in range(num_workers):
t = threading.Thread(target=worker)
t.start()
threads.append(t)
merge_thread = threading.Thread(target=merge)
merge_thread.start()
range_start = 0
for i in range(num_chunks):
range_end = min(range_start + chunk_size - 1, total_length - 1)
q.put((i, (range_start, range_end)))
range_start = range_end + 1
# block until all tasks are done
while not all(nonloc.merge_chunks) and nonloc.error is None:
time.sleep(0.1)
# stop workers
for i in range(len(threads)):
q.put((-1, None))
for t in threads:
t.join()
merge_thread.join()
if nonloc.error is not None:
if isinstance(nonloc.error, RangeNotAvailableError):
use_fallback = True
else:
raise nonloc.error
else:
use_fallback = True
if use_fallback:
# Single connection, boring download
with open(output_path, 'wb') as fd:
for chunk in download_stream.iter_content(4096):
downloaded += len(chunk)
if progress_callback is not None and total_length is not None:
progress_callback((100.0 * float(downloaded) / total_length))
fd.write(chunk)
except (requests.exceptions.Timeout, requests.exceptions.ConnectionError, ReadTimeoutError) as e:
raise NetError(e)
return output_path