[pkg] unify client and server into a single python package

We have been discussing about this merge for a while.
Its main goal is to simplify things: code navigation, but also
packaging.

The rationale is that the code is more cohesive in this way, and there's
only one source package to install.

Dependencies that are only for the server or the client will not be
installed by default, and they are expected to be provided by the
environment. There are setuptools extras defined for the client and the
server.

Debianization is still expected to split the single source package into
3 binaries.

Another avantage is that the documentation can now install a single
package with a single step, and therefore include the docstrings into
the generated docs.

- Resolves: #8896

1 files changed, 45 insertions, 0 deletions

diff --git a/src/leap/soledad/client/examples/plot-async-db.py b/src/leap/soledad/client/examples/plot-async-db.py
new file mode 100644
index 00000000..018a1a1d
--- /dev/null
+++ b/src/leap/soledad/client/examples/plot-async-db.py
@@ -0,0 +1,45 @@
+import csv
+from matplotlib import pyplot as plt
+
+FILE = "bench.csv"
+
+# config the plot
+plt.xlabel('number of inserts')
+plt.ylabel('time (seconds)')
+plt.title('SQLCipher parallelization')
+
+kwargs = {
+    'linewidth': 1.0,
+    'linestyle': '-',
+}
+
+series = (('sync', 'r'),
+          ('async', 'g'))
+
+data = {'mark': [],
+        'sync': [],
+        'async': []}
+
+with open(FILE, 'rb') as csvfile:
+    series_reader = csv.reader(csvfile, delimiter=',')
+    for m, s, a in series_reader:
+        data['mark'].append(int(m))
+        data['sync'].append(float(s))
+        data['async'].append(float(a))
+
+xmax = max(data['mark'])
+xmin = min(data['mark'])
+ymax = max(data['sync'] + data['async'])
+ymin = min(data['sync'] + data['async'])
+
+for run in series:
+    name = run[0]
+    color = run[1]
+    plt.plot(data['mark'], data[name], label=name, color=color, **kwargs)
+
+plt.axes().annotate("", xy=(xmax, ymax))
+plt.axes().annotate("", xy=(xmin, ymin))
+
+plt.grid()
+plt.legend()
+plt.show()