todo: functors

This commit is contained in:
voje 2019-04-07 22:11:57 +02:00
parent 40f6aea2e7
commit 8a3d6f0a5a

View File

@ -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 ----------------------------^