Reorganize scripts directory.

3 files changed, 258 insertions, 0 deletions

diff --git a/scripts/profiling/doc_put_memory_usage/find_max_upload_size.py b/scripts/profiling/doc_put_memory_usage/find_max_upload_size.py
new file mode 100755
index 00000000..02c68015
--- /dev/null
+++ b/scripts/profiling/doc_put_memory_usage/find_max_upload_size.py
@@ -0,0 +1,169 @@
+#!/usr/bin/python
+
+# This script finds the maximum upload size for a document in the current
+# server. It pulls couch URL from Soledad config file and attempts multiple
+# PUTs until it finds the maximum size supported by the server.
+#
+# As the Soledad couch user is not an admin, you have to pass a database into
+# which the test will be run. The database should already exist and be
+# initialized with soledad design documents.
+#
+# Use it like this:
+#
+#     ./find_max_upload_size.py <dbname>
+#     ./find_max_upload_size.py -h
+
+import os
+import configparser
+import logging
+import argparse
+import random
+import string
+import binascii
+import json
+import time
+import uuid
+
+
+from couchdb.client import Database
+from socket import error as socket_error
+from leap.soledad.common.couch import CouchDatabase
+
+
+SOLEDAD_CONFIG_FILE = '/etc/leap/soledad-server.conf'
+PREFIX = '/tmp/soledad_test'
+LOG_FORMAT = '%(asctime)s %(levelname)s %(message)s'
+RETRIES = 3  # number of times to retry uploading a document of a certain
+             # size after a failure
+
+
+# configure logger
+logger = logging.getLogger(__name__)
+
+
+def config_log(level):
+    logging.basicConfig(format=LOG_FORMAT, level=level)
+
+
+def log_to_file(filename):
+    handler = logging.FileHandler(filename, mode='a')
+    handler.setFormatter(logging.Formatter(fmt=LOG_FORMAT))
+    logger.addHandler(handler)
+
+
+# create test dir
+if not os.path.exists(PREFIX):
+    os.mkdir(PREFIX)
+
+
+def get_couch_url(config_file=SOLEDAD_CONFIG_FILE):
+    config = configparser.ConfigParser()
+    config.read(config_file)
+    return config['soledad-server']['couch_url']
+
+
+# generate or load an uploadable doc with the given size in mb
+def get_content(size):
+    fname = os.path.join(PREFIX, 'content-%d.json' % size)
+    if os.path.exists(fname):
+        logger.debug('Loading content with %d MB...' % size)
+        with open(fname, 'r') as f:
+            return f.read()
+    else:
+        length = int(size * 1024 ** 2)
+        logger.debug('Generating body with %d MB...' % size)
+        content = binascii.hexlify(os.urandom(length))[:length]
+        with open(fname, 'w') as f:
+            f.write(content)
+        return content
+
+
+def delete_doc(db):
+    doc = db.get('largedoc')
+    db.delete(doc)
+
+
+def upload(db, size, couch_db):
+    # try many times to be sure that size is infeasible
+    for i in range(RETRIES):
+        # wait until server is up to upload
+        while True:
+            try:
+                'largedoc' in couch_db
+                break
+            except socket_error:
+                logger.debug('Waiting for server to come up...')
+                time.sleep(1)
+        # attempt to upload
+        try:
+            logger.debug(
+                'Trying to upload %d MB document (attempt %d/%d)...' %
+                (size, (i+1), RETRIES))
+            content = get_content(size)
+            logger.debug('Starting upload of %d bytes.' % len(content))
+            doc = db.create_doc({'data': content}, doc_id='largedoc')
+            delete_doc(couch_db)
+            logger.debug('Success uploading %d MB doc.' % size)
+            return True
+        except Exception as e:
+            logger.debug('Failed to upload %d MB doc: %s' % (size, str(e)))
+    return False
+
+
+def find_max_upload_size(db_uri):
+    db = CouchDatabase.open_database(db_uri, False)
+    couch_db = Database(db_uri)
+    logger.debug('Database URI: %s' % db_uri)
+    # delete eventual leftover from last run
+    if 'largedoc' in couch_db:
+        delete_doc(couch_db)
+    # phase 1: increase upload size exponentially
+    logger.info('Starting phase 1: increasing size exponentially.')
+    size = 1
+    #import ipdb; ipdb.set_trace()
+    while True:
+        if upload(db, size, couch_db):
+            size *= 2
+        else:
+            break
+
+    # phase 2: binary search for maximum value
+    unable = size
+    able = size / 2
+    logger.info('Starting phase 2: binary search for maximum value.')
+    while unable - able > 1:
+        size = able + ((unable - able) / 2)
+        if upload(db, size, couch_db):
+            able = size
+        else:
+            unable = size
+    return able
+
+
+if __name__ == '__main__':
+    # parse command line
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        '-d', action='store_true', dest='debug',
+        help='print debugging information')
+    parser.add_argument(
+        '-l', dest='logfile',
+        help='log output to file')
+    parser.add_argument(
+        'db_uri', help='the couch database URI to test')
+    args = parser.parse_args()
+
+    # log to file
+    if args.logfile is not None:
+        log_to_file(args.logfile)
+
+    # set loglevel
+    if args.debug is True:
+        config_log(logging.DEBUG)
+    else:
+        config_log(logging.INFO)
+
+    # run test and report
+    logger.info('Will test using db at %s.' % args.db_uri)
+    maxsize = find_max_upload_size(args.db_uri)
+    logger.info('Max upload size is %d MB.' % maxsize)
diff --git a/scripts/profiling/doc_put_memory_usage/get-mem.py b/scripts/profiling/doc_put_memory_usage/get-mem.py
new file mode 100755
index 00000000..d64875fc
--- /dev/null
+++ b/scripts/profiling/doc_put_memory_usage/get-mem.py
@@ -0,0 +1,16 @@
+#!/usr/bin/python
+
+
+import psutil
+import time
+
+
+delta = 50 * 60
+start = time.time()
+
+while True:
+    now = time.time()
+    print "%s %s" % (now - start, psutil.phymem_usage().used)
+    time.sleep(0.1)
+    if now > start + delta:
+        break
diff --git a/scripts/profiling/doc_put_memory_usage/plot-mem.py b/scripts/profiling/doc_put_memory_usage/plot-mem.py
new file mode 100755
index 00000000..e24679a2
--- /dev/null
+++ b/scripts/profiling/doc_put_memory_usage/plot-mem.py
@@ -0,0 +1,73 @@
+#!/usr/bin/python
+
+
+from matplotlib import pyplot as plt
+
+
+files = [
+    ('local', 'couchdb-json', 'b'),
+    ('local', 'bigcouch-json', 'r'),
+    ('local', 'couchdb-multipart', 'g'),
+    ('local', 'bigcouch-multipart', 'm'),
+]
+
+
+# config the plot
+plt.xlabel('time')
+plt.ylabel('memory usage')
+plt.title('bigcouch versus couch memory usage')
+
+
+for fi in files:
+
+    machine = fi[0]
+    database = fi[1]
+    color = fi[2]
+    filename = '%s-%s.txt' % (machine, database)
+
+    x = []
+    y = []
+
+    xmax = None
+    xmin = None
+    ymax = None
+    ymin = None
+
+    # read data from file
+    with open(filename, 'r') as f:
+        line = f.readline()
+        while line is not None:
+            time, mem = tuple(line.strip().split(' '))
+            mem = float(mem) / (10**9)
+            x.append(float(time))
+            y.append(mem)
+            if ymax == None or mem > ymax:
+                ymax = mem
+                xmax = time
+            if ymin == None or mem < ymin:
+                ymin = mem
+                xmin = time
+            line = f.readline()
+            if line == '':
+                break
+
+    kwargs = {
+        'linewidth': 1.0,
+        'linestyle': '-',
+    #    'marker': '.',
+        'color': color,
+    }
+    plt.plot(x, y, label=database, **kwargs)
+
+    #plt.axes().get_xaxis().set_ticks(x)
+    #plt.axes().get_xaxis().set_ticklabels(x)
+
+    # annotate max and min values
+    #plt.axes().annotate("%.2f GB" % ymax, xy=(xmax, ymax))
+    #plt.axes().annotate("%.2f GB" % ymin, xy=(xmin, ymin))
+
+
+plt.grid()
+plt.legend()
+plt.show()
+