import hashlib import random import string import struct import time NANOSECOND = int(1e9) class RandomContentFile(object): def __init__(self, size, seed): self.size = size self.seed = seed self.random = random.Random(self.seed) # Boto likes to seek once more after it's done reading, so we need to save the last chunks/seek value. self.last_chunks = self.chunks = None self.last_seek = None # Let seek initialize the rest of it, rather than dup code self.seek(0) def _mark_chunk(self): self.chunks.append([self.offset, int(round((time.time() - self.last_seek) * NANOSECOND))]) def seek(self, offset): assert offset == 0 self.random.seed(self.seed) self.offset = offset self.buffer = '' self.hash = hashlib.md5() self.digest_size = self.hash.digest_size self.digest = None # Save the last seek time as our start time, and the last chunks self.last_chunks = self.chunks # Before emptying. self.last_seek = time.time() self.chunks = [] def tell(self): return self.offset def _generate(self): # generate and return a chunk of pseudorandom data # 256 bits = 32 bytes at a time size = 1*1024*1024 l = [self.random.getrandbits(64) for _ in xrange(size/8)] s = struct.pack((size/8)*'Q', *l) return s def read(self, size=-1): if size < 0: size = self.size - self.offset r = [] random_count = min(size, self.size - self.offset - self.digest_size) if random_count > 0: while len(self.buffer) < random_count: self.buffer += self._generate() self.offset += random_count size -= random_count data, self.buffer = self.buffer[:random_count], self.buffer[random_count:] if self.hash is not None: self.hash.update(data) r.append(data) digest_count = min(size, self.size - self.offset) if digest_count > 0: if self.digest is None: self.digest = self.hash.digest() self.hash = None self.offset += digest_count size -= digest_count data = self.digest[:digest_count] r.append(data) self._mark_chunk() return ''.join(r) class FileVerifier(object): def __init__(self): self.size = 0 self.hash = hashlib.md5() self.buf = '' self.created_at = time.time() self.chunks = [] def _mark_chunk(self): self.chunks.append([self.size, int(round((time.time() - self.created_at) * NANOSECOND))]) def write(self, data): self.size += len(data) self.buf += data digsz = -1*self.hash.digest_size new_data, self.buf = self.buf[0:digsz], self.buf[digsz:] self.hash.update(new_data) self._mark_chunk() def valid(self): """ Returns True if this file looks valid. The file is valid if the end of the file has the md5 digest for the first part of the file. """ if self.size < self.hash.digest_size: return self.hash.digest().startswith(self.buf) return self.buf == self.hash.digest() def files(mean, stddev, seed=None): """ Yields file-like objects with effectively random contents, where the size of each file follows the normal distribution with `mean` and `stddev`. Beware, the file-likeness is very shallow. You can use boto's `key.set_contents_from_file` to send these to S3, but they are not full file objects. The last 128 bits are the MD5 digest of the previous bytes, for verifying round-trip data integrity. For example, if you re-download the object and place the contents into a file called ``foo``, the following should print two identical lines: python -c 'import sys, hashlib; data=sys.stdin.read(); print hashlib.md5(data[:-16]).hexdigest(); print "".join("%02x" % ord(c) for c in data[-16:])' = 0: break yield RandomContentFile(size=size, seed=rand.getrandbits(32)) def names(mean, stddev, charset=None, seed=None): """ Yields strings that are somewhat plausible as file names, where the lenght of each filename follows the normal distribution with `mean` and `stddev`. """ if charset is None: charset = string.ascii_lowercase rand = random.Random(seed) while True: while True: length = int(rand.normalvariate(mean, stddev)) if length > 0: break name = ''.join(rand.choice(charset) for _ in xrange(length)) yield name