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working on api changes

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This commit is contained in:
voje 2019-04-04 22:42:26 +02:00
parent ca942344d7
commit 044fa66910
3 changed files with 47 additions and 24 deletions
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53
src/backend_flask/app.py
View File

@ -26,6 +26,7 @@ from email.mime.text import MIMEText
from copy import deepcopy as DC
from pathlib import Path
from pymongo import MongoClient
import pymongo
import argparse
# some db collections
@ -55,7 +56,8 @@ CORS(app)
@app.route("/api/dev")
def api_dev():
cur = valdb.kres.find({"sid": "F0015940.37.2"})
print("DEV")
cur = valdb.kres.find({"headwords": "nagovarjati"})
frames = []
for ent in cur:
frames += frames_from_db_entry(ent)
@ -236,20 +238,18 @@ def api_token():
def prepare_frames(ret_frames):
# append sentences
for frame in ret_frames:
frame.sentences = []
unique_sids = {".".join(x.split(".")[:-1]): x for x in frame.tids}
log.debug(str(unique_sids))
frame.sentences = []
# frame.sentences = []
frame.aggr_sent = {}
# sid, tid==hw
for sid, tid in unique_sids.items():
hwl = vallex.get_token(tid)["lemma"]
# hwl = vallex.get_token(tid)["lemma"]
hwl = "derp"
tmp_idx = len(frame.sentences)
if hwl not in frame.aggr_sent:
frame.aggr_sent[hwl] = []
frame.aggr_sent[hwl].append(tmp_idx)
frame.sentences.append(
vallex.get_tokenized_sentence(tid)
)
# return (n-frames, rendered template)
# json frames
json_ret = {"frames": []}
@ -259,7 +259,7 @@ def prepare_frames(ret_frames):
# input: hw, reduct_function
@app.route("/api/hw-frames")
@app.route("/api/frames")
def api_get_frames():
hw = request.args.get("hw")
if hw is None:
@ -267,8 +267,21 @@ def api_get_frames():
rf_name = request.args.get("rf", "reduce_0") # 2nd is default
RF = reduce_functions[rf_name]["f"]
entry = vallex.entries[hw] # TODO hw -> [Frame,]
ret_frames = RF(entry.raw_frames, vallex)
# entry = vallex.entries[hw] # TODO hw -> [Frame,]
cur = valdb.kres.find({"headwords": hw})
frames = []
for ent in cur:
# TODO: maybe filter by hw?
frames += frames_from_db_entry(ent)
# return json.dumps([x.to_json() for x in frames])
print("A")
print(frames[0].to_json())
ret_frames = RF(frames, None)
print("B")
print(ret_frames[0].to_json())
return prepare_frames(ret_frames)
@ -408,18 +421,22 @@ def prepare_db():
for corpus in CORPORA:
for e in valdb[corpus].find({}):
if e["srl_links"] is None:
continue
hw_tids = list(set([x["from"] for x in e["srl_links"]]))
hw_tokens = [helper_tid_to_token(tid, e["tokens"]) for tid in hw_tids]
headwords = [(t["lemma"] if t["msd"][0] == "G" else t["lemma"] + "_") for t in hw_tokens]
e["headwords"] = headwords
e["headwords"] = []
e["functors"] = []
else:
hw_tids = list(set([x["from"] for x in e["srl_links"]]))
hw_tokens = [helper_tid_to_token(tid, e["tokens"]) for tid in hw_tids]
headwords = [(t["lemma"] if t["msd"][0] == "G" else t["lemma"] + "_") for t in hw_tokens]
e["headwords"] = headwords
functors = list(set([x["afun"] for x in e["srl_links"]]))
e["headwords"] = headwords
e["functors"] = functors
functors = list(set([x["afun"] for x in e["srl_links"]]))
e["functors"] = functors
valdb[corpus].save(e)
valdb[corpus].ensure_index([("headwords", pymongo.ASCENDING)])
valdb[corpus].ensure_index([("functors", pymongo.ASCENDING)])
# create app_index (used in frontend, left side word index)
for corpus in CORPORA:
res_hws = {}

13
src/pkg/valency/valency/Frame.py
View File

@ -6,6 +6,8 @@ def frames_from_db_entry(dbent):
def _full_tid(tid):
return ".".join([dbent["sid"], str(tid)])
token_dict = {str(x["tid"]): x for x in dbent["tokens"]}
frames = []
if "srl_links" not in dbent:
return []
@ -18,19 +20,20 @@ def frames_from_db_entry(dbent):
srldict[key] += [srl]
for hwtid, srlarr in srldict.items():
frames += [Frame(
hw_lemma=_full_tid(hwtid),
tids=[_full_tid(x["to"]) for x in srlarr],
hw_lemma=token_dict[hwtid]["text"],
tids=[_full_tid(hwtid)],
slots=[
Slot(
functor=srl["afun"],
tids=[_full_tid(srl["to"])]
) for srl in srlarr
]
],
sentences=[dbent["tokens"]],
)]
return frames
class Frame():
def __init__(self, tids, deep_links=None, slots=None, hw_lemma=None):
def __init__(self, tids, deep_links=None, slots=None, hw_lemma=None, sentences=None):
self.hw = hw_lemma
self.tids = tids # list of tokens with the same hw_lemma
# Each tid = "S123.t123";
@ -41,7 +44,7 @@ class Frame():
else:
self.slots = slots
self.sense_info = {}
self.sentences = None # Used for passing to view in app.py, get_frames
self.sentences = sentences
self.aggr_sent = None # Dictionary { hw: self.sentences idx }
def to_json(self):

5
src/pkg/valency/valency/reduce_functions.py
View File

@ -56,11 +56,13 @@ def reduce_1(frames, vallex=None):
break
else:
# Python for else -> fires if loop has ended.
# init new frame set [set_of_functors, list_of_one_frame]
frame_sets.append([functors, [frame]])
ret_frames = []
for fs in frame_sets:
tids = []
sentences = []
slots = {}
# All possible slots in this frame.
for functor in fs[0]:
@ -68,12 +70,13 @@ def reduce_1(frames, vallex=None):
# Reduce slots from all frames. (Merge ACT from all frames, ...)
for frame in fs[1]:
tids += frame.tids
sentences += frame.sentences
for sl in frame.slots:
slots[sl.functor].tids += sl.tids
slots_list = []
for k, e in slots.items():
slots_list.append(e)
rf = Frame(tids=tids, slots=slots_list)
rf = Frame(tids=tids, slots=slots_list, sentences=sentences)
rf.sort_slots()
ret_frames.append(rf)
return sorted_by_len_tids(ret_frames)