List dimensions and members and search for timeseries by the same

This should be enough to implement a simple query tool.

app.py

@@ -1,3 +1,4 @@
+import fcntl
 import hmac
 import json
 import logging
@@ -44,6 +45,41 @@ def get_timeseries(id):
         abort(404)
     return jsonify({"description": ts.description, "data": ts.data})
 
+@app.route("/dimensions")
+def list_dimensions():
+    with open("data/.index") as fh:
+        fcntl.flock(fh, fcntl.LOCK_SH)
+        index = json.load(fh)
+    # Just return the number of timeseries for each dimension/member, not
+    # the timeseries themselves
+    for d in index.keys():
+        for m in index[d].keys():
+            index[d][m] = len(index[d][m])
+    return jsonify(index)
+
+@app.route("/search")
+def search():
+    log.debug("search: %s", request.args)
+    timeseries = None
+    with open("data/.index") as fh:
+        fcntl.flock(fh, fcntl.LOCK_SH)
+        index = json.load(fh)
+    for k, v in request.args.lists():
+        log.debug("search: %s -> %s", k, v)
+        if timeseries == None:
+            timeseries = set()
+            log.debug("search: %s: %s", k, index[k])
+            for m in v:
+                timeseries |= set(index[k][m])
+        else:
+            filter = set()
+            for m in v:
+                filter |= set(index[k][m])
+            timeseries &= filter
+    results = list(timeseries)
+    return jsonify(results)
+
+
 def verify_node(d):
     node = d["auth"]["node"]
     timestamp = d["auth"]["timestamp"]