COUNT = 10000
STEP = 100
x = np.linspace(1, COUNT, COUNT / STEP)
y = np.empty(COUNT / STEP, dtype=int)

i = 0
for contact in site.members._tree.itervalues():
    contact.getId()  # make sure the object's not a ZODB ghost
    if not i % STEP:
        y[i / STEP] = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1000
    i += 1
    if i >= COUNT:
        break

plt.plot(x, y, 'bo')
plt.xlabel('Objects loaded')
plt.ylabel('RAM used (KB)')

contact_size = (y[-1] - y[0]) / float(COUNT)
print '%0.2f KB' % contact_size

contact = site.members['david-glick']
contact.getId()
contact_pickle_size = contact._p_estimated_size / 1000.0
print '%0.2f KB' % contact_pickle_size

print '%0.2f' % (contact_size / contact_pickle_size)

from IPython.display import HTML
def analyze_dict(o):
    h = '<table>'
    h += '<tr><th>Key</th><th>Value</th><th>Size (Bytes)</th></tr>'
    total = 0

    size = sys.getsizeof(o)
    h += '<tr><td colspan="2">[obj]</td><td>%s</td></tr>' % size
    total += size

    d = vars(o)
    size = sys.getsizeof(d)
    h += '<tr><td colspan="2">[obj.__dict__]</td><td>%s</td></tr>' % size
    total += size

    for k in sorted(d):
        v = d[k]
        if hasattr(v, '_p_jar'):
            # separate persistent item; don't count its size
            size = sys.getsizeof(k)
        else:
            size = sys.getsizeof(k) + sys.getsizeof(v)
            total += size
        h += '<tr><td>%s</td><td>%s</td><td>%s</td>' % (k, repr(v), size)
    h += '<tr><th colspan="2">(TOTAL)</th><th>%s</th>' % total
    h += '</table>'
    return HTML(h)
analyze_dict(contact)