fixed the sentence duplication bug. todo: functors

src/backend_flask/app.py

@@ -302,6 +302,9 @@ def api_get_functor_frames():
     for ent in cur:
         frames += frames_from_db_entry(ent)  # pre-process this step for prod TODO
 
+    for f in frames:
+        print(f.to_json())
+
     # raw_frames = vallex.functors_index[functor]  # TODO
     ret_frames = RF(frames, valdb[SENSEMAP_COLL])
     return prepare_frames(ret_frames)

src/pkg/valency/valency/Frame.py

@@ -30,7 +30,7 @@ def frames_from_db_entry(dbent):
             ],
             # sentences=[(dbent["sid"], dbent["tokens"])],
             sentences=[
-                [(_full_tid(t["tid"]), t)for t in dbent["tokens"]],
+                [(_full_tid(t["tid"]), t) for t in dbent["tokens"]],
             ]
         )]
     return frames

src/pkg/valency/valency/reduce_functions.py

@@ -24,12 +24,14 @@ def sorted_by_len_tids(frames):
 
 def reduce_0(frames, valdb_sensemap=None):
     # new request... frames should be sorded by
-    # functors list (basically reduce_1, just each
+    # functors list
-    # sentence gets its own frame)
+
-    r1_frames = reduce_1(frames)
+    # return frames  # simplify code...
+    # frames = reduce_1(frames)
+
     sorting_strings = []
     separated_frames = []
-    for frame in r1_frames:
+    for frame in frames:
         for tid in frame.tids:
             tmp_frame = DC(frame)
             tmp_frame.tids = [tid]