mirror of
https://github.com/tahoe-lafs/tahoe-lafs.git
synced 2024-12-30 01:38:55 +00:00
50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
#!/usr/bin/env python
|
|
|
|
import sys, os.path
|
|
|
|
if len(sys.argv) > 1 and sys.argv[1] == "config":
|
|
print """\
|
|
graph_title Tahoe File Estimate
|
|
graph_vlabel files
|
|
graph_category tahoe
|
|
graph_info This graph shows the estimated number of files and directories present in the grid
|
|
files.label files
|
|
files.draw LINE2"""
|
|
sys.exit(0)
|
|
|
|
# Edit this to point at some subset of storage directories.
|
|
node_dirs = [os.path.expanduser("~amduser/prodnet/storage1"),
|
|
os.path.expanduser("~amduser/prodnet/storage2"),
|
|
os.path.expanduser("~amduser/prodnet/storage3"),
|
|
os.path.expanduser("~amduser/prodnet/storage4"),
|
|
]
|
|
|
|
sections = ["aa", "ab", "ac", "ad", "ae", "af", "ag", "ah", "ai", "aj"]
|
|
# and edit this to reflect your default encoding's "total_shares" value, and
|
|
# the total number of servers.
|
|
N = 10
|
|
num_servers = 20
|
|
|
|
index_strings = set()
|
|
for base in node_dirs:
|
|
for section in sections:
|
|
sampledir = os.path.join(base, "storage", "shares", section)
|
|
indices = os.listdir(sampledir)
|
|
index_strings.update(indices)
|
|
unique_strings = len(index_strings)
|
|
|
|
# the chance that any given file appears on any given server
|
|
chance = 1.0 * N / num_servers
|
|
|
|
# the chance that the file does *not* appear on the servers that we're
|
|
# examining
|
|
no_chance = (1-chance) ** len(node_dirs)
|
|
|
|
# if a file has a 25% chance of not appearing in our sample, then we need to
|
|
# raise our estimate by (1.25/1)
|
|
correction = 1+no_chance
|
|
#print "correction", correction
|
|
|
|
files = unique_strings * (32*32/len(sections)) * correction
|
|
print "files.value %d" % int(files)
|