todo: functors

src/backend_flask/app.py

@@ -95,8 +95,9 @@ def api_register():
         email == ""
     ):
         return "ERR"
+    email_hash = hashlib.sha256(email.encode("utf-8")).hexdigest()
     existing = list(valdb[USERS_COLL].find({
-        "$or": [{"username": username}, {"email": email}]
+        "$or": [{"username": username}, {"email": email_hash}]
     }))
     if len(existing) > 0:
         return "ERR: Username or email already exists."
@@ -104,8 +105,7 @@ def api_register():
         "username": username,
         "hpass": hashlib.sha256(
             password.encode("utf-8")).hexdigest(),
-        "email": hashlib.sha256(
-            email.encode("utf-8")).hexdigest()
+        "email": email_hash
     }
     valdb[USERS_COLL].insert(entry)
     return "OK"
@@ -264,20 +264,19 @@ def api_get_frames():
     if hw is None:
         return json.dumps({"error": "Required argument: hw (headword)."})
 
-    rf_name = request.args.get("rf", "reduce_0")  # 2nd is default
+    rf_name = request.args.get("rf", "reduce_0")
     RF = reduce_functions[rf_name]["f"]
 
     corpus = request.args.get("cor")
     if corpus not in CORPORA:
         return json.dumps({"error": "cor={kres,ssj}"})
 
-    # entry = vallex.entries[hw]  # TODO  hw -> [Frame,]
     cur = valdb[corpus].find({"headwords": hw})
     frames = []
     for ent in cur:
-        # TODO: maybe filter by hw?
         frames += frames_from_db_entry(ent)  # pre-process this step for prod TODO
 
+    # filter by relevant hw
     frames = [x for x in frames if x.hw == hw]
 
     ret_frames = RF(frames, valdb[SENSEMAP_COLL])
@@ -290,10 +289,21 @@ def api_get_functor_frames():
     functor = request.args.get("functor")
     if functor is None:
         return json.dumps({"error": "Missing argument: functor."})
-    rf_name = request.args.get("rf", "reduce_0")  # 2nd is default
+
+    rf_name = request.args.get("rf", "reduce_0")
     RF = reduce_functions[rf_name]["f"]
-    raw_frames = vallex.functors_index[functor]  # TODO
-    ret_frames = RF(raw_frames, vallex)
+
+    corpus = request.args.get("cor")
+    if corpus not in CORPORA:
+        return json.dumps({"error": "cor={kres,ssj}"})
+
+    cur = valdb[corpus].find({"functors": functor})
+    frames = []
+    for ent in cur:
+        frames += frames_from_db_entry(ent)  # pre-process this step for prod TODO
+
+    # raw_frames = vallex.functors_index[functor]  # TODO
+    ret_frames = RF(frames, valdb[SENSEMAP_COLL])
     return prepare_frames(ret_frames)
 
 # FRAMES ----------------------------^