fixed reduce_0 functors sort ACT, PAT, other...

.gitignore

@@ -1,7 +1,4 @@
 data/samples/
-data/wordlist.json
-data/sskj_senses.json
-data/appindex.json
 *egg-info/
 *.pyc
 src/frontend_vue/node_modules/

Dockerfile-backend-flask

@@ -1,16 +0,0 @@
-FROM cjvt-python-env
-
-RUN mkdir -p /project/src/backend_flask
-RUN mkdir -p /project/src/pkg
-RUN mkdir -p /project/data
-
-COPY src/backend_flask /project/src/backend_flask
-COPY src/pkg /project/src/pkg
-
-COPY data/appindex.json /project/data
-
-COPY src/backend_flask/entrypoint.sh /.
-
-COPY src/backend_flask/conf_files/prod_conf.yaml /project
-
-ENTRYPOINT ["/bin/bash", "/entrypoint.sh"]

Makefile

@@ -3,41 +3,21 @@
 
 MAKE_ROOT = $(shell pwd)
 
-### Input data
-# I received ssj500k in one .xml file,
-# kres is composed of many .xml files
-# I generated srl tags for kres in separate .json files
-# (for each kres.xml file there is a kres.json file with srl tags)
-# SSJ_FILE = "$(MAKE_ROOT)/data/samples/ssj_xml/ssj500k-sl.body.sample.xml"
-SSJ_FILE = "$(MAKE_ROOT)/data/ssj_file_link"
-# KRES_FOLDER = "$(MAKE_ROOT)/data/samples/kres_xml"
-# KRES_FOLDER = "$(MAKE_ROOT)/data/kres_xml_folder_link"
-KRES_FOLDER = "/home/kristjan/kres_data/payload/kres_xml"
-# KRES_SRL_FOLDER = "$(MAKE_ROOT)/data/samples/kres_srl_json"
-# KRES_SRL_FOLDER = "$(MAKE_ROOT)/data/kres_json_folder_link"
-KRES_SRL_FOLDER = "/home/kristjan/kres_data/payload/kres_json"
-
-# This file comes with the source code. Make sure you unpack it and name it right.
-SSKJ_WORDLIST = "$(MAKE_ROOT)/data/wordlist.json"
-SSKJ_JSON = "$(MAKE_ROOT)/data/sskj_senses.json"
-
-# for pre-generation the index of all headwords and functors
-APPINDEX_PATH = "$(MAKE_ROOT)/data/appindex.json"
-
 OUTPUT = "db"
 # OUTPUT = "file"
 OUTDIR = "/tmp/three"  # if you're running this in docker, make sure to mount the volume
 DBADDR = "0.0.0.0:27017"  # don't use localhost
 
+N_CORES = 5
+# insert kres files into database in chunks, for fewer connections
+KRES_CHUNK_SIZE = 30
+
+# Some backend parameters can be found in conf file (see make backend)
+
 # credentials from .gitignored file
 # create it from env.default
 include env.local
 
-N_CORES = 3
-# insert kres files into database in chunks, for fewer connections
-KRES_CHUNK_SIZE = 30
-
-# Backend parameters found in conf file (see make backend)
 export
 
 .PHONY: python-env fill-database
@@ -68,7 +48,6 @@ python-env:
 python-env-install:
 	pip3 install -e src/pkg/cjvt-corpusparser/.
 	pip3 install -e src/pkg/valency/.
-	pip3 install -e src/pkg/seqparser/.
 
 # from inside python-env container:
 data/samples:
@@ -105,46 +84,22 @@ frontend-dev:
 frontend-prod:
 	cd src/frontend_vue/; $(MAKE) prod
 
-build-frontend-prod:
-	cd src/frontend_vue/; $(MAKE) build-prod
-
 
 ## Backend
 
 # runs once and exits before the app starts
-# need to extract ./data/sskj_data.tar.gz first
 backend-prepare-db:
 	cd ./src/backend_flask; python3 app.py \
 		--config-file ./conf_files/dev_conf.yaml \
 		--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR) \
-		--sskj-wordlist $(SSKJ_WORDLIST) \
-		--appindex-json $(APPINDEX_PATH) \
 		--prepare-db
 
 backend-dev:
 	cd ./src/backend_flask; python3 app.py \
 		--config-file ./conf_files/dev_conf.yaml \
-		--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR) \
-		--appindex-json $(APPINDEX_PATH)
+		--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR)
 
-backend-prod-old:
+backend-prod:
 	cd ./src/backend_flask; python3 app.py \
 		--config-file ./conf_files/prod_conf.yaml \
-		--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR) \
-		--appindex-json $(APPINDEX_PATH)
-
-build-backend-flask:
-	cd ./src/backend_flask; $(MAKE) build
-
-## add sskj senses to db (generated with pkg/seqparser)
-sskj-senses:
-	python3 ./src/pkg/seqparser/seqparser/main.py \
-		--sskj-json $(SSKJ_JSON) \
-		--operation "senses_to_db" \
-		--dbaddr $(DBADDR) \
-		--dbuser $(DB_USR_USER) \
-		--dbpass $(DB_USR_PASS)
-
-deploy-prod-stack:
-	- docker network create val-backend
-	docker stack deploy -c production.yaml val
+		--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR)

README.md

@@ -52,6 +52,8 @@ $ make fill-database-ssj
 $ make fill-database-kres
 # You can detach from the running process using Ctrl-p + Ctrl-q
 
+
+
 # this is a long operation
 # if running on a remote server, use nohup:
 $ nohup $(make fill-database > fill-database.log) &
@@ -72,10 +74,6 @@ $ make python-env-install
 # needs to be ran once to modify a new database
 $ make backend-prepare-db
 
-# if you have the file prepared (sskj_senses.json), you can
-# fill the database with some senses
-$ make sskj-senses
-
 # with debugger
 $ make backend-dev
 
@@ -83,99 +81,19 @@ $ make backend-dev
 $ make backend-prod
 ```
 
-API endpoints:
-
-* GET word list (pre-cached)
-* GET reduced frames (pre-cached)
-* POST senses
-* User auth logic
-
-
 ### Vue frontend (1 container)
 Relies on Flask backend.  
 Before running `make`, you might need to set the correct api address.  
 Check `./src/frontend_vue/config/config_prod.json`.  
 bash
 ```
-# $ make frontend-dev  # development
+# development
+# ./config_dev.json
+$ make frontend-dev  # development
+
+# production
+# ./config_prod.json
 $ make frontend-prod
 ```
 
 App available on: `http://0.0.0.0:8080`.  
-
-
-## Production deployment
-Prerequisite: machine with free ports 80 and 8084.  
-
-
-### Database
-Either build the database from scratch (lenghty process) using above instructions or just migrate the database from the faculty server (recommended).  
-
-Build container my-mongo:
-```bash
-# run once and destroy containers
-$ make database-service
-```
-
-### Backend
-Set database connection details in `/src/backend_flask/db_config.py`.  
-Change 'valuser' and 'valuserpass' to the database user.
-```bash
-mongodb://valuser:valuserpass@my_mongo/valdb
-```
-In the above line, replace `valuser` with the username and `valuserpass` with the password that was used to create the database tables (the values were set in the root Makefile).  
-
-You can also set the number of workers in `/src/backend_flask/entrypoint.sh`.  
-In line with `gunicorn -t 4 -b 127.0.0.1:8084 app:app`, edit the `-t` parameter.  
-Rule of thumb is 2x number of available CPU cores.  
-
-Build the backend container:
-```bash
-# From git root
-$ make build-backend-flask
-```
-
-### Frontend
-Set the server address (where backend will be runnig) in `src/frontend_vue/config/config_prod.json`.  
-Build the `/dist` folder that contains the static app (we will be using Nginx to serve it).  
-```bash
-# From git root
-$ make build-frontend-prod
-```
-
-All set, now run the stack.  
-Stack configuration in `production.yaml`.  
-
-```bash
-# From git root
-$ make deploy-prod-stack
-```
-
-
-
-## Uploading a mongo dump
-There's a 15GB mongo dump containing the fully processed kres and ssj data.  
-We can use that file to deploy our aplication.  
-With this database, we will need a minimum of 8GB ram to serve the app.  
-If the server is struggling, frontend will throw "Network errors".  
-
-Check `0.0.0.0:8081` and remove (or backup) the current example database `valdb`.  
-
-Run the stack with mongo port mapped:
-(uncomment the lines in `production.yaml`)
-```yml
-ports:
-  - 27017:27017
-```
-
-Run a separate my-mongo container with the mounted data:
-```bash
-$ mongo run -it --net host -v <local_dump_path>/dumps my-mongo /bin/bash
-```
-
-Inside the container (edit the uesrname, password):
-```bash
-$ mongorestore /dumps/valdb --db valdb --uri=mongodb://valuser:valuserpass@0.0.0.0:27017
-```
-
-After uploading, restart the stack with `27017` commented out.  

data/kres_json_folder_link_t420

@@ -0,0 +1 @@
+/home/kristjan/kres_data/payload/kres_json/

data/kres_xml_folder_link_proc

@@ -0,0 +1 @@
+/home/kristjan/kres_mount/kres_parsed/tei/

dockerfiles/database/mongodb-stack.yml

@@ -2,7 +2,7 @@ version: '3.1'
 
 services:
 
-  my_mongo:
+  my-mongo:
     image: my-mongo
     restart: always
     ports:
@@ -13,7 +13,7 @@ services:
     volumes:
       - ${HOME}/mongo_container/data/:/data/db
 
-  mongo_express:
+  mongo-express:
     image: mongo-express
     restart: always
     ports:
@@ -23,4 +23,4 @@ services:
       ME_CONFIG_BASICAUTH_PASSWORD: ${MONGOEXPRESS_PASS}
       ME_CONFIG_MONGODB_ADMINUSERNAME: ${DB_ADM_USER}
       ME_CONFIG_MONGODB_ADMINPASSWORD: ${DB_ADM_PASS}
-      ME_CONFIG_MONGODB_SERVER: my_mongo
+      ME_CONFIG_MONGODB_SERVER: my-mongo

dockerfiles/python-env/Dockerfile

@@ -1,26 +1,26 @@
-FROM ubuntu:18.04
+FROM ubuntu:16.04
 
 RUN apt-get update --fix-missing
 RUN apt-get install -y \
 vim \
 python3 \
 python3-pip \
-sshfs \
-curl
-
-RUN pip3 install --upgrade pip
+sshfs
 
 RUN pip3 install \
 	lxml \
 	pandas \
 	sklearn \
 	argparse \
-	pyyaml \
 	pathlib \
-	flask \
-	flask_cors \
 	pymongo \
-	flask-pymongo \
-	gunicorn
+	flask
+
+RUN apt-get install -y \
+	curl
 
 ENV PYTHONIOENCODING UTF-8
+
+RUN pip3 install \
+	pyyaml \
+	flask_cors

dockerfiles/python-env/Makefile

@@ -1,4 +1,4 @@
-IMAGE_NAME="cjvt-python-env"  # don't change, used in backend_flask/Makefile
+IMAGE_NAME="cjvt-python-env"
 CNNAME="python-env"
 
 all: build run

dockerfiles/python-env/entrypoint.sh

@@ -1,5 +0,0 @@
-#!/bin/bash
-
-echo "testing entrypoint."
-$(exit 1)
-exit 0

env.default

@@ -1,6 +1,27 @@
+### Credentials
+
 MONGOEXPRESS_USER = mxuser
 MONGOEXPRESS_PASS = mxuserpassword
 DB_ADM_USER = valadmin
 DB_ADM_PASS = valadminpass
 DB_USR_USER = valuser
 DB_USR_PASS = valuserpass
+
+
+
+### Input data
+
+# I received ssj500k in one .xml file,
+# kres is composed of many .xml files
+# I generated srl tags for kres in separate .json files
+# (for each kres.xml file there is a kres.json file with srl tags)
+
+# Use the files from /data/samples.tar.gz for a quick app build with a subset of data.  
+
+SSJ_FILE = "$(MAKE_ROOT)/data/samples/ssj_xml/ssj500k-sl.body.sample.xml"
+# SSJ_FILE = "$(MAKE_ROOT)/data/ssj_file_link"
+KRES_FOLDER = "$(MAKE_ROOT)/data/samples/kres_xml"
+# KRES_FOLDER = "$(MAKE_ROOT)/data/kres_xml_folder_link"
+KRES_SRL_FOLDER = "$(MAKE_ROOT)/data/samples/kres_srl_json"
+# KRES_SRL_FOLDER = "$(MAKE_ROOT)/data/kres_json_folder_link"
+

makefile_vars.example

@@ -0,0 +1,25 @@
+# Environment specific Makefile parameters
+# Copy this file and name it makefile_args
+# makefile_args gets .gitignored
+
+# SSJ_FILE = "$(MAKE_ROOT)/data/samples/ssj_xml/ssj500k-sl.body.sample.xml"
+SSJ_FILE = "$(MAKE_ROOT)/data/ssj_file_link"
+# KRES_FOLDER = "$(MAKE_ROOT)/data/samples/kres_xml"
+KRES_FOLDER = "$(MAKE_ROOT)/data/kres_xml_folder_link"
+# KRES_SRL_FOLDER = "$(MAKE_ROOT)/data/samples/kres_srl_json"
+KRES_SRL_FOLDER = "$(MAKE_ROOT)/data/kres_json_folder_link"
+
+OUTPUT = "db"
+# OUTPUT = "file"
+OUTDIR = "/tmp/three"  # if you're running this in docker, make sure to mount the volume
+DBADDR = "0.0.0.0:27017"  # don't use localhost
+
+# credentials from .gitignored file
+# create it from env.default
+include env.local
+
+N_CORES = 5
+# insert kres files into database in chunks, for fewer connections
+KRES_CHUNK_SIZE = 30
+
+# Backend parameters found in conf file (see make backend)

nginx.conf

@@ -1,26 +0,0 @@
-# frontend
-server {
-    listen 80;
-    server_name  _;
-
-    location / {
-        root   /srv/dist;
-        index  index.html index.htm;
-    }
-
-    location /home {
-      return 301 /;
-    }
-}
-
-# backend
-server {
-    listen 8084;
-    server_name _;
-
-    location / {
-        proxy_set_header X-Forward-For $proxy_add_x_forwarded_for;
-        proxy_set_header Host $http_host;
-        proxy_pass http://backend_flask:8084;
-    }
-}

production.yaml

@@ -1,43 +0,0 @@
-version: '3.1'
-
-services:
-
-  my_mongo:
-    image: my-mongo
-    restart: always
-    # ports:
-    #   - 27017:27017
-    expose:
-      - 27017
-    environment:
-      MONGO_INITDB_ROOT_USERNAME: valuser
-      MONGO_INITDB_ROOT_PASSWORD: valuserpass
-    volumes:
-      - ${HOME}/mongo_container/data/:/data/db
-
-  mongo_express:
-    image: mongo-express
-    restart: always
-    ports:
-      - 8081:8081
-    environment:
-      ME_CONFIG_BASICAUTH_USERNAME: test
-      ME_CONFIG_BASICAUTH_PASSWORD: test
-      ME_CONFIG_MONGODB_ADMINUSERNAME: valadmin
-      ME_CONFIG_MONGODB_ADMINPASSWORD: rolercoaster
-      ME_CONFIG_MONGODB_SERVER: my_mongo
-
-  backend_flask:
-    image: backend-flask
-    expose:
-      - 8084
-
-  proxy:
-    image: nginx
-    ports:
-      - 80:80
-      - 8084:8084
-    volumes:
-      - ./nginx.conf:/etc/nginx/conf.d/default.conf
-      - ./src/frontend_vue/dist:/srv/dist
-

src/backend_flask/Makefile

@@ -1,16 +0,0 @@
-IMG="backend-flask"
-CNT="backend_flask"
-
-clean:
-	- docker rm -f $(CNT)
-
-run: clean build
-	docker run -d --net host --name $(CNT) $(IMG)
-	docker logs -f $(CNT)
-
-build: build-cjvt-python-env
-	# docker build . -f ../../Dockerfile-backend-flask -t $(IMG)
-	cd ../..; docker build . -f Dockerfile-backend-flask -t $(IMG)
-
-build-cjvt-python-env:
-	cd ../../dockerfiles/python-env; $(MAKE) build

src/backend_flask/app.py

@@ -26,21 +26,23 @@ from email.mime.text import MIMEText
 from copy import deepcopy as DC
 from pathlib import Path
 from pymongo import MongoClient
-from flask_pymongo import PyMongo
 import pymongo
 import argparse
 
+# some db collections
+USERS_COLL = "users"
+TOKENS_COLL = "usertokens"
+SENSES_COLL = "senses"
+SENSEMAP_COLL = "sensemap"
+
+# pre-generated data (gui leftside word index)
+CORPORA = ["ssj", "kres"]
+app_index = None
 
 log = logging.getLogger(__name__)
+valdb = None
 app = Flask(__name__)
 
-app.config.from_object("db_config")
-mongo = PyMongo(app)
-
-app.config["CORPORA"] = ["ssj", "kres"]
-app.config["BANNED_HEADWORDS"] = ["biti"]
-app.config["QUERY_LIMIT"] = 1000
-
 
 # when running vuejs via webpack
 # CORS(app)
@@ -55,7 +57,7 @@ CORS(app)
 @app.route("/api/dev")
 def api_dev():
     print("DEV")
-    cur = mongo.db.kres.find({"headwords": "nagovarjati"})
+    cur = valdb.kres.find({"headwords": "nagovarjati"})
     frames = []
     for ent in cur:
         frames += frames_from_db_entry(ent)
@@ -68,12 +70,12 @@ def api_dev():
 @app.route("/api/words/<corpus>")
 def api_words(corpus):
     return json.dumps({
-        "sorted_words": app.config["app_index"][corpus]["words"], # todo - make corpus as arg
+        "sorted_words": app_index[corpus]["words"], # todo - make corpus as arg
     })
 
 @app.route("/api/functors/<corpus>")
 def api_functors(corpus):
-    return json.dumps(app.config["app_index"][corpus]["functors"])
+    return json.dumps(app_index[corpus]["functors"])
 
 # INDEX SELECTION -------------------^
 
@@ -94,7 +96,7 @@ def api_register():
     ):
         return "ERR"
     email_hash = hashlib.sha256(email.encode("utf-8")).hexdigest()
-    existing = list(mongo.db.users.find({
+    existing = list(valdb[USERS_COLL].find({
         "$or": [{"username": username}, {"email": email_hash}]
     }))
     if len(existing) > 0:
@@ -105,7 +107,7 @@ def api_register():
             password.encode("utf-8")).hexdigest(),
         "email": email_hash
     }
-    mongo.db.users.insert(entry)
+    valdb[USERS_COLL].insert(entry)
     return "OK"
 
 
@@ -117,7 +119,7 @@ def api_login():
     password = data["password"]
     hpass = hashlib.sha256(password.encode("utf-8")).hexdigest()
 
-    db_user = list(mongo.db.users.find({
+    db_user = list(valdb[USERS_COLL].find({
         "username": username,
         "hpass": hpass
     }))
@@ -131,7 +133,7 @@ def api_login():
         "date": datetime.datetime.utcnow(),
         "token": token
     }
-    mongo.db.usertokens.update(
+    valdb[TOKENS_COLL].update(
         {"username": token_entry["username"]},
         token_entry,
         upsert=True
@@ -174,7 +176,7 @@ def api_new_pass():
     username = data["username"]
     email = data["email"]
     hemail = hashlib.sha256(email.encode("utf-8")).hexdigest()
-    db_res = list(mongo.db.users.find({
+    db_res = list(valdb[USERS_COLL].find({
         "username": username,
         "email": hemail
     }))
@@ -186,7 +188,7 @@ def api_new_pass():
         string.ascii_letters + string.digits) for i in range(10)])
     # update locally
     hpass = hashlib.sha256(new_pass.encode("utf-8")).hexdigest()
-    mongo.db.users.update(
+    valdb[USERS_COLL].update(
         {
             "username": username,
             "email": hemail
@@ -204,12 +206,12 @@ def token_to_username(token):
     key = {
         "token": token
     }
-    res = list(mongo.db.usertokens.find(key))
+    res = list(valdb[TOKENS_COLL].find(key))
     if len(res) != 1:
         return None
     username = res[0]["username"]
     # update deletion interval
-    mongo.db.usertokens.update(
+    valdb[TOKENS_COLL].update(
         key, {"$set": {"date": datetime.datetime.utcnow()}})
     return username
 
@@ -244,19 +246,18 @@ def api_get_frames():
     RF = reduce_functions[rf_name]["f"]
 
     corpus = request.args.get("cor")
-    if corpus not in app.config["CORPORA"]:
+    if corpus not in CORPORA:
         return json.dumps({"error": "cor={kres,ssj}"})
 
-    cur = mongo.db[corpus].find({"headwords": hw})
+    cur = valdb[corpus].find({"headwords": hw})
     frames = []
-    for ent in cur[:app.config["QUERY_LIMIT"]]:
+    for ent in cur:
         frames += frames_from_db_entry(ent)  # pre-process this step for prod TODO
-    cur.close()
 
     # filter by relevant hw
     frames = [x for x in frames if x.hw == hw]
 
-    ret_frames = RF(frames, mongo.db.sensemap)
+    ret_frames = RF(frames, valdb[SENSEMAP_COLL])
 
     json_ret = {"frames": []}
     for frame in ret_frames:
@@ -297,20 +298,19 @@ def api_get_functor_frames():
     RF = reduce_functions[rf_name]["f"]
 
     corpus = request.args.get("cor")
-    if corpus not in app.config["CORPORA"]:
+    if corpus not in CORPORA:
         return json.dumps({"error": "cor={kres,ssj}"})
 
-    cur = mongo.db[corpus].find({"functors": functor})
+    cur = valdb[corpus].find({"functors": functor})
     frames = []
-    for ent in cur[:app.config["QUERY_LIMIT"]]:
+    for ent in cur:
         frames += frames_from_db_entry(ent)  # pre-process this step for prod TODO
-    cur.close()
 
     # filter by relevant functor
     frames = [x for x in frames if functor in x.get_functors()]
 
     # raw_frames = vallex.functors_index[functor]  # TODO
-    ret_frames = RF(frames, mongo.db.sensemap)
+    ret_frames = RF(frames, valdb[SENSEMAP_COLL])
     ret_frames = _aggregate_by_hw(ret_frames)
 
     json_ret = {"frames": []}
@@ -322,17 +322,15 @@ def api_get_functor_frames():
 
 
 # SENSES ----------------------------.
-# ssj_id is legacy notation, read
-# it as general sentence_id
 
 @app.route("/api/senses/get")
 def api_senses_get():
     # returns senses and mapping for hw
     hw = request.args.get("hw")
-    senses = list(mongo.db.senses.find({
+    senses = list(valdb[SENSES_COLL].find({
         "hw": hw
     }))
-    sense_map_query = list(mongo.db.sensemap.find({
+    sense_map_query = list(valdb[SENSEMAP_COLL].find({
         "hw": hw
     }))
     # aggregation by max date possible on DB side
@@ -409,10 +407,8 @@ def api_senses_update():
         ns["date"] = tmp_dt
         id_map[frontend_sense_id] = new_sense_id
 
-        print(ns)
-
         # insert into db
-        mongo.db.senses.insert(ns)
+        valdb[SENSES_COLL].insert(ns)
 
     # replace tmp_id with mongo's _id
     for ssj_id, el in sense_map.items():
@@ -427,34 +423,22 @@ def api_senses_update():
             "date": datetime.datetime.utcnow()
         }
         # vallex.db["v2_sense_map"].update(key, data, upsert=True)
-        mongo.db.sensemap.insert(data)
+        valdb[SENSEMAP_COLL].insert(data)
     return "OK"
 
 # SENSES ----------------------------^
 
 
 # APP PREFLIGHT ---------------------.
-def _is_banned(hw):
-    banned = True
-    if hw in app.config["BANNED_HEADWORDS"]:
-        banned = True
-    elif hw in sskj_wordlist["wordlist"]:
-        banned = False
-    elif (hw + " se") in sskj_wordlist["wordlist"]:
-        banned = False
-    return banned
 
-def prepare_app_index(appindex_json, sskj_wordlist):
+def prepare_app_index():
     log.info("[*] preparing app_index")
     # create app_index (used in frontend, left side word index)
-    tmp_app_index = {c: {} for c in app.config["CORPORA"]}
-    for corpus in app.config["CORPORA"]:
+    tmp_app_index = {c: {} for c in CORPORA}
+    for corpus in CORPORA:
         res_hws = {}
         res_fns = {}
-
-        nentries = mongo.db[corpus].count()
-        idx = 0
-        for e in mongo.db[corpus].find({}):
+        for e in valdb[corpus].find({}):
             if "headwords" not in e:
                 continue
             for hw in e["headwords"]:
@@ -469,10 +453,6 @@ def prepare_app_index(appindex_json, sskj_wordlist):
                     res_fns[fn] += 1
                 else:
                     res_fns[fn] = 1
-            idx += 1
-            if idx % 10000 == 0:
-                log.debug("indexing {}: {}/{}".format(
-                    corpus, idx, nentries))
 
         alphabetical = {}
         for k, e in res_hws.items():
@@ -482,47 +462,19 @@ def prepare_app_index(appindex_json, sskj_wordlist):
             else:
                 alphabetical[fst] = [(k, e)]
 
-        for letter, words in alphabetical.items():
-            filtered_words = [x for x in words if not _is_banned(x[0])]
-            alphabetical[letter] = sorted(filtered_words, key=lambda x: x[0])
-
+        for k, e in alphabetical.items():
+            alphabetical[k] = sorted(e, key=lambda x: x[0]) 
         tmp_app_index[corpus]["words"] = alphabetical
 
-
         functors = [(k, e) for (k, e) in res_fns.items()]
         functors = sorted(functors, key=lambda x: x[0])
         tmp_app_index[corpus]["functors"] = functors
 
-    with Path(appindex_json).open("w") as fp:
-        json.dump(tmp_app_index, fp)
+    valdb.appindex.update({"dockey": "appindex"}, {"dockey": "appindex", "data": tmp_app_index}, upsert=True)
 
 # APP PREFLIGHT ---------------------^
 
 
-def init_wsgi(app):
-    print("Initiating wsgi")
-    config = None
-    with Path("/project/prod_conf.yaml").open("r") as fp:
-        config = list(yaml.safe_load_all(fp))[0]
-
-    app.debug = False
-    logfile = config["logfile"]
-    logging.basicConfig(filename=logfile, level=logging.INFO)
-
-    # app index from db
-    with Path(config["appindex"]).open("r") as fp:
-        # a dirty hack but ok
-        app.config["app_index"] = json.load(fp)
-
-    # log.info("[*] Starting app.py with config:\n%s".format(config))
-    log.info("[*] Starting app.py with config:\n{}".format(config))
-
-
-# if we don't pass arguments, assume production environment (gunicorn)
-if "gunicorn" in sys.argv[0]:
-    init_wsgi(app)
-
-
 if __name__ == "__main__":
     print("Starting app.py main()")
     aparser = argparse.ArgumentParser(description="Arguments for app.py")
@@ -531,10 +483,9 @@ if __name__ == "__main__":
     aparser.add_argument("--dbuser", type=str)
     aparser.add_argument("--dbpass", type=str)
     aparser.add_argument("--dbaddr", type=str)
-    aparser.add_argument("--sskj-wordlist", type=str)
-    aparser.add_argument("--appindex-json", type=str)
     args = aparser.parse_args()
 
+    config = None
     with Path(args.config_file).open("r") as fp:
         config = list(yaml.safe_load_all(fp))[0]
 
@@ -545,31 +496,25 @@ if __name__ == "__main__":
     else:
         logging.basicConfig(filename=logfile, level=logging.INFO)
 
-    """
     # db login
     client = MongoClient(
         "mongodb://{}".format(args.dbaddr),
         username=args.dbuser,
         password=args.dbpass,
-        authSource="mongo.db",
+        authSource="valdb",
         authMechanism='SCRAM-SHA-1'
     )
-    valdb = client.mongo.db
-    """
+    valdb = client.valdb
 
     if args.prepare_db:
-        with Path(args.sskj_wordlist).open("r") as fp:
-            sskj_wordlist = json.load(fp)
-        prepare_app_index(args.appindex_json, sskj_wordlist)
+        prepare_app_index()
         sys.exit()
 
     # app index from db
-    with Path(args.appindex_json).open("r") as fp:
-        app.config["app_index"] = json.load(fp)
+    app_index = (valdb.appindex.find_one({"dockey": "appindex"}))["data"]
 
     # log.info("[*] Starting app.py with config:\n%s".format(config))
     log.info("[*] Starting app.py with config:\n{}".format(config))
 
     app.run(host=str(config["host"]), port=int(config["port"]))
 
-

src/backend_flask/conf_files/dev_conf.yaml

@@ -4,4 +4,3 @@ port: 8084
 host: localhost
 logfile: "/var/log/valency_backend.log"
 ---
-

src/backend_flask/conf_files/prod_conf.yaml

@@ -1,5 +1,6 @@
 ---
+debug: True
 port: 8084
 host: 0.0.0.0
 logfile: "/var/log/valency_backend.log"
-appindex: /project/data/appindex.json
+---

src/backend_flask/db_config.py

@@ -1,2 +0,0 @@
-MONGO_URI = "mongodb://sizif:p5e3r4u8t7@my_mongo:27017/valdb"
-MONGO_AUTH_SOURCE = 'admin'

src/backend_flask/entrypoint.sh

@@ -1,8 +0,0 @@
-#!/bin/bash
-
-pip3 install -e /project/src/pkg/cjvt-corpusparser/.
-pip3 install -e /project/src/pkg/valency/.
-pip3 install -e /project/src/pkg/seqparser/.
-
-cd /project/src/backend_flask
-gunicorn -t 4 -b 0.0.0.0:8084 app:app

src/backend_flask/preprocess.py

@@ -0,0 +1,73 @@
+# Deprecated: headword creation moved to be part of corpusparser,
+# index creation moved to app.py as a preprocessing (with exit) step
+
+CORPORA = ["kres", "ssj"]
+
+if __name__ == "__main__":
+
+	valdb = None
+
+    def helper_tid_to_token(tid, tokens):
+        for t in tokens:
+            if t["tid"] == tid:
+                return t
+        return None
+
+    # update entries (add headwords and fuctors for indexing)
+    for corpus in CORPORA:
+        for e in valdb[corpus].find({}):
+            if e["srl_links"] is None:
+                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["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)
+    tmp_app_index = {c: {} for c in CORPORA}
+    for corpus in CORPORA:
+        res_hws = {}
+        res_fns = {}
+        for e in valdb[corpus].find({}):
+            if "headwords" not in e:
+                continue
+            for hw in e["headwords"]:
+                if hw in res_hws:
+                    res_hws[hw] += 1
+                else:
+                    res_hws[hw] = 1
+            if "functors" not in e:
+                continue
+            for fn in e["functors"]:
+                if fn in res_fns:
+                    res_fns[fn] += 1
+                else:
+                    res_fns[fn] = 1
+
+        alphabetical = {}
+        for k, e in res_hws.items():
+            fst = k[0].lower()
+            if fst in alphabetical:
+                alphabetical[fst].append((k, e))
+            else:
+                alphabetical[fst] = [(k, e)]
+
+        for k, e in alphabetical.items():
+            alphabetical[k] = sorted(e, key=lambda x: x[0]) 
+        tmp_app_index[corpus]["words"] = alphabetical
+
+        functors = [(k, e) for (k, e) in res_fns.items()]
+        functors = sorted(functors, key=lambda x: x[0])
+        tmp_app_index[corpus]["functors"] = functors
+
+    valdb.appindex.update({"dockey": "appindex"}, {"dockey": "appindex", "data": tmp_app_index}, upsert=True)

src/frontend_vue/Makefile

@@ -9,7 +9,8 @@ info:
 	echo "Pick either dev or prod."
 
 clean:
-	- docker rm -f $(CONNAME)
+	- docker kill $(CONNAME)
+	- docker rm $(CONNAME)
 
 build-container:
 	docker build . -t $(IMGNAME)
@@ -18,12 +19,5 @@ dev:	build-container clean
 	docker run --name $(CONNAME) -d -p 8080:8080 -v $(shell pwd):/src $(IMGNAME) /src/ops_scripts/dev.sh
 
 prod: 	build-container clean
-	docker run --restart always --name $(CONNAME) -d -p 8080:8080 -v $(shell pwd):/src $(IMGNAME) /src/ops_scripts/prod.sh
-
-node-env: clean
-	docker run --name $(CONNAME) -it -p 8080:8080 -v $(shell pwd):/src $(IMGNAME)
-
-build-prod: 	build-container clean
-	docker run --rm -v $(shell pwd):/src $(IMGNAME) /src/ops_scripts/prod.sh
-
+	docker run --name $(CONNAME) -d -p 8080:8080 -v $(shell pwd):/src $(IMGNAME) /src/ops_scripts/prod.sh
 

src/frontend_vue/config/config.json

@@ -1,3 +1,3 @@
 {
-    "api_addr": "http://193.2.76.103:8084"
+    "api_addr": "http://0.0.0.0:8084"
 }

src/frontend_vue/dist_bkp/index.html

@@ -1 +0,0 @@
-<!DOCTYPE html><html><head><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1"><title>vue_frontend</title><link href=/static/css/app.05a420a551b5bded5dfec6b370d3edca.css rel=stylesheet></head><body><div id=app></div><script type=text/javascript src=/static/js/manifest.2ae2e69a05c33dfc65f8.js></script><script type=text/javascript src=/static/js/vendor.5d3d2fd333c62579d227.js></script><script type=text/javascript src=/static/js/app.8538f7133303d3e391b2.js></script></body></html>

src/frontend_vue/dist_bkp/static/js/manifest.2ae2e69a05c33dfc65f8.js

@@ -1,2 +0,0 @@
-!function(r){var n=window.webpackJsonp;window.webpackJsonp=function(e,u,c){for(var f,i,p,a=0,l=[];a<e.length;a++)i=e[a],o[i]&&l.push(o[i][0]),o[i]=0;for(f in u)Object.prototype.hasOwnProperty.call(u,f)&&(r[f]=u[f]);for(n&&n(e,u,c);l.length;)l.shift()();if(c)for(a=0;a<c.length;a++)p=t(t.s=c[a]);return p};var e={},o={2:0};function t(n){if(e[n])return e[n].exports;var o=e[n]={i:n,l:!1,exports:{}};return r[n].call(o.exports,o,o.exports,t),o.l=!0,o.exports}t.m=r,t.c=e,t.d=function(r,n,e){t.o(r,n)||Object.defineProperty(r,n,{configurable:!1,enumerable:!0,get:e})},t.n=function(r){var n=r&&r.__esModule?function(){return r.default}:function(){return r};return t.d(n,"a",n),n},t.o=function(r,n){return Object.prototype.hasOwnProperty.call(r,n)},t.p="/",t.oe=function(r){throw console.error(r),r}}([]);
-//# sourceMappingURL=manifest.2ae2e69a05c33dfc65f8.js.map

src/frontend_vue/dist_bkp/static/js/manifest.2ae2e69a05c33dfc65f8.js.map

@@ -1 +0,0 @@
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src/frontend_vue/ops_scripts/prod.sh

@@ -4,4 +4,4 @@ cp ./config/config_prod.json ./config/config.json
 
 npm install
 npm run build
-# http-server /src/dist
+http-server /src/dist

src/frontend_vue/package.json

@@ -10,52 +10,50 @@
     "build": "node build/build.js"
   },
   "dependencies": {
-    "ajv": "^6.10.0",
     "axios": "^0.18.0",
-    "bootstrap-vue": "^2.0.0-rc.19",
-    "jquery": "^3.4.0",
+    "bootstrap-vue": "^2.0.0-rc.11",
     "sha256": "^0.2.0",
-    "vue": "^2.6.10",
-    "vue-cookies": "^1.5.13",
-    "vue-router": "^3.0.6",
+    "vue": "^2.5.2",
+    "vue-cookies": "^1.5.6",
+    "vue-router": "^3.0.1",
     "vue-spinner": "^1.0.3"
   },
   "devDependencies": {
     "autoprefixer": "^7.1.2",
     "babel-core": "^6.22.1",
     "babel-helper-vue-jsx-merge-props": "^2.0.3",
-    "babel-loader": "^7.1.5",
+    "babel-loader": "^7.1.1",
     "babel-plugin-syntax-jsx": "^6.18.0",
     "babel-plugin-transform-runtime": "^6.22.0",
     "babel-plugin-transform-vue-jsx": "^3.5.0",
     "babel-preset-env": "^1.3.2",
     "babel-preset-stage-2": "^6.22.0",
-    "chalk": "^2.4.2",
-    "copy-webpack-plugin": "^4.6.0",
-    "css-loader": "^2.1.1",
+    "chalk": "^2.0.1",
+    "copy-webpack-plugin": "^4.0.1",
+    "css-loader": "^0.28.0",
     "extract-text-webpack-plugin": "^3.0.0",
     "file-loader": "^1.1.4",
     "friendly-errors-webpack-plugin": "^1.6.1",
     "html-webpack-plugin": "^2.30.1",
-    "node-notifier": "^5.4.0",
+    "node-notifier": "^5.1.2",
     "optimize-css-assets-webpack-plugin": "^3.2.0",
     "ora": "^1.2.0",
-    "portfinder": "^1.0.20",
+    "portfinder": "^1.0.13",
     "postcss-import": "^11.0.0",
-    "postcss-loader": "^2.1.6",
+    "postcss-loader": "^2.0.8",
     "postcss-url": "^7.2.1",
-    "rimraf": "^2.6.3",
-    "semver": "^5.7.0",
+    "rimraf": "^2.6.0",
+    "semver": "^5.3.0",
     "shelljs": "^0.7.6",
-    "uglifyjs-webpack-plugin": "^1.3.0",
-    "url-loader": "^1.1.2",
-    "vue-loader": "^13.7.3",
+    "uglifyjs-webpack-plugin": "^1.1.1",
+    "url-loader": "^0.5.8",
+    "vue-loader": "^13.3.0",
     "vue-style-loader": "^3.0.1",
-    "vue-template-compiler": "^2.6.10",
+    "vue-template-compiler": "^2.5.2",
     "webpack": "^3.6.0",
-    "webpack-bundle-analyzer": "^3.3.2",
-    "webpack-dev-server": "^2.11.5",
-    "webpack-merge": "^4.2.1"
+    "webpack-bundle-analyzer": "^2.9.0",
+    "webpack-dev-server": "^2.9.1",
+    "webpack-merge": "^4.1.0"
   },
   "engines": {
     "node": ">= 6.0.0",

src/frontend_vue/src/App.vue

@@ -7,25 +7,3 @@ export default {
   name: 'App',
 }
 </script>
-
-<style>
-body {
-	font-family: cambria;
-}
-.ulred {
-	color: #b71511;
-	color: rgb(183,21,17);
-}
-.lmenu td {
-	color: #9e9e9e;
-}
-.redlinks a {
-	color: #9e9e9e;
-}
-.redlinks a:hover {
-	color: #b71511;
-}
-.text-secondary {
-	color: #9e9e9e !important;
-}
-</style>

src/frontend_vue/src/components/Frame.vue

@@ -6,12 +6,7 @@
         <div class="col-sm-7">
             <div class="row">
                 <div class="col-sm-12">
-                    <span v-if="frameData.sentences.length < frameData.sentence_count">
-                        št. povedi: {{ frameData.sentence_count }} (prikazanih {{ frameData.sentences.length }})
-                    </span>
-                    <span v-else>
                     št. povedi: {{ frameData.sentences.length }}
-                    </span>
                 </div>
             </div>
 

src/frontend_vue/src/components/Home.vue

@@ -1,17 +1,20 @@
 <template>
 <div>
+  <p
+    v-if="this.$root.store.api_error !== null" 
+    class="text-warning"
+  >
+    api_error: {{ this.$root.store.api_error }}
+  </p>
   <Nav></Nav>
     <div class="my-home container-fluid">
       <div class="row">
-        <div id="search" class="col-sm-2 border-right fill" :key=this.$root.store.indexReloader>
+        <div id="serach" class="col-sm-2 border-right fill" :key=this.$root.store.indexReloader>
           <LWords 
             v-if="this.$root.store.selIndex.val === 'words'"></LWords>
           <LFunctors v-else></LFunctors>
         </div>
         <div class="col-sm-10">
-          <p class="text-danger" v-if="this.$root.store.api_error != null">
-              {{ this.$root.store.api_error }}
-          </p>
           <router-view></router-view>
         </div>
       </div>

src/frontend_vue/src/components/LFunctors.vue

@@ -1,5 +1,5 @@
 <template>
-<div class="redlinks">
+<div>
     <table>
         <tr v-for="functor in functors">
             <td><a href="#" v-on:click="selectFunctor(functor)">{{ functor[0] }}</a></td>

src/frontend_vue/src/components/LWords.vue

@@ -1,5 +1,5 @@
 <template>
-<div class="redlinks">
+<div>
     <select v-model="selectedLetter">
         <option v-for="letter in alphabet" :value="letter">
             {{ letter.toUpperCase() }} ({{ getNumWords(letter) }})

src/frontend_vue/src/components/Login.vue

@@ -1,5 +1,5 @@
 <template>
-<div class="redlinks">
+<div>
   <div class="col-sm-2">
     <a href="#" v-on:click="this.$root.routeBack">Nazaj</a>
   </div>

src/frontend_vue/src/components/MainDispl.vue

@@ -1,11 +1,6 @@
 <template>
-
-<!--in case of error-->
-<div v-if="this.$root.store.api_error != null">
-</div>
-
 <!--load mode-->
-<div v-else-if="state === 'loading'">
+<div v-if="show_loader">
     <pulse-loader :color="loader_color"></pulse-loader>
 </div>
 
@@ -81,11 +76,16 @@ export default {
         },
         state: "loading",  // editing, normal
         request_reload: false,
-        loader_color: "#b71511",
+        loader_color: "#007bff",
     }},
     created: function () {
         this.reload()
     },
+    computed: {
+        show_loader: function () {
+            return this.state === "loading" && this.$root.store.api_error !== null
+        }
+    },
     watch: {
         hw: function () {
             this.reload()
@@ -118,7 +118,6 @@ export default {
                 }
             }
             var component = this
-            component.state = "loading"
             this.$http.get(
                 this.$root.store.api_addr + 
                 "/api/functor-frames" + 
@@ -132,7 +131,6 @@ export default {
                 })
                 .catch(function(error) {
                     component.$root.store.api_error = error
-                    component.state = "error"
                 })
         },
         getFrames: function (hw, reduce_fun=null) {
@@ -151,7 +149,6 @@ export default {
                 }
             }
             var component = this
-            component.state = "loading"
             this.$http.get(
                 this.$root.store.api_addr + "/api/frames" + 
                     "?hw=" + hw + "&rf=" + reduce_fun +
@@ -164,7 +161,6 @@ export default {
                 })
                 .catch(function(error) {
                     component.$root.store.api_error = error
-                    component.state = "error"
                 })
         },
         buildSentences: function () {

src/frontend_vue/src/components/Nav.vue

@@ -1,11 +1,8 @@
 <template>
 <nav>
-    <b-navbar id="nav-red-bg" toggleable="md" type="light" variant="light">
+    <b-navbar toggleable="md" type="light" variant="light">
     <b-navbar-toggle target="nav_collapse"></b-navbar-toggle>
-    <!--b-navbar-brand>Vezljivostni vzorci slovenskih glagolov</b-navbar-brand-->
-    <b-navbar-brand class=cursorpointer v-on:click="goHome">
-            VEZLJIVOSTNI VZORCI SLOVENSKIH GLAGOLOV
-    </b-navbar-brand>
+    <b-navbar-brand>Vezljivostni vzorci slovenskih glagolov</b-navbar-brand>
     <b-collapse is-nav id="nav_collapse">
 
     <b-navbar-nav>
@@ -103,25 +100,7 @@ export default {
             this.$router.push({
                 name: "Home"
             })
-        },
-        goHome() {
-            this.$router.replace({path: "/home"})
         }
     }
 }
 </script>
-
-<style>
-#nav-red-bg {
-    background-color: rgb(183,21,17,0.9) !important;
-}
-nav a {
-    color: white;
-}
-nav a:hover {
-    color: white;
-}
-.cursorpointer {
-    cursor: pointer;
-}
-</style>

src/frontend_vue/src/components/NewPass.vue

@@ -1,5 +1,5 @@
 <template>
-<div class=redlinks>
+<div>
   <div class="col-sm-2">
     <a href="#" v-on:click="this.$root.routeBack">Nazaj</a>
   </div>

src/frontend_vue/src/components/Register.vue

@@ -1,5 +1,5 @@
 <template>
-<div class="redlinks">
+<div>
   <div class="col-sm-2">
     <a href="#" v-on:click="this.$root.routeBack">Nazaj</a>
   </div>
@@ -9,19 +9,19 @@
     </div>
     <div class="form-group">
       <input 
-        type="email"
-        class="form-control"
-        placeholder="e-pošta"
-        v-model="credentials.email" 
+        type="text"
+        class="form-control js-login__username"
+        placeholder="Uporabnik"
+        v-model="credentials.username" 
         autocomplete="off"
       >
     </div>
     <div class="form-group">
       <input
-        type="text"
-        class="form-control js-login__username"
-        placeholder="Uporabnik"
-        v-model="credentials.username" 
+        type="email"
+        class="form-control"
+        placeholder="e-pošta"
+        v-model="credentials.email" 
         autocomplete="off"
       >
     </div>
@@ -38,7 +38,7 @@
       <input
         type="password"
         class="form-control js-login__password "
-        placeholder="Ponovite geslo"
+        placeholder="Ponovite geslo."
         v-model="credentials.snd_password" 
         autocomplete="off"
       >

src/pkg/seqparser/Makefile

@@ -1,9 +0,0 @@
-SSKJ_HTML = /home/kristjan/git/diploma/data/sskj/sskj2_v1.html
-SSKJ_JSON = "./sskj_senses.json"
-WORDLIST = "./wordlist.json"
-
-gen_json_files:
-	cd seqparser; python3 main.py \
-		--sskj-html=$(SSKJ_HTML) \
-		--sskj-json=$(SSKJ_JSON) \
-		--wordlist=$(WORDLIST)

src/pkg/seqparser/requirements.txt

@@ -1 +0,0 @@
-bs4

src/pkg/seqparser/seqparser/Seqparser.py

@@ -1,313 +0,0 @@
-from bs4 import BeautifulSoup as BS
-import re
-from collections import defaultdict
-from time import time
-import pickle
-import json
-from copy import deepcopy as DC
-from pathlib import Path
-
-# Match sese ordinals (1., 2., ...)
-rord = re.compile(r"^ *[0-9]+\. *$")
-
-# Get rid of accented characters.
-intab = "ÁÉÍÓÚàáäçèéêìíîñòóôöùúüčŔŕ"
-outtb = "AEIOUaaaceeeiiinoooouuučRr"
-transtab = str.maketrans(intab, outtb)
-
-def d_time(fun):
-    def wrapper(*args, **kwargs):
-        tstart = time()
-        fun(*args, **kwargs)
-        duration = time() - tstart
-        print("Function {} ran for {:.2f} s.".format(
-            fun.__name__, duration))
-    return wrapper
-
-class Seqparser:
-    def __init__(sskj_file):
-        pass
-
-    @d_time
-    def html_to_verb_adj_json(self, infile, outfile):
-        out_dict = defaultdict(list)
-        with Path(infile).open("rb") as fp:
-            for line in fp:
-                data = self.parse_line(line)
-                if data is None: continue
-                out_dict[data["izt_clean"]].append(data) 
-        with Path(outfile).open("w") as fp:
-            json.dump(dict(out_dict), fp)
-
-    @d_time
-    def generate_sskj_wordlist(self, in_json_file, out_wordlist):
-        wordlist = None
-        with Path(in_json_file).open("r") as fp:
-            jdata = json.load(fp)
-            wordlist = list(jdata.keys())
-        with Path(out_wordlist).open("w") as fp:
-            json.dump({"wordlist": wordlist}, fp)
-
-    # main functions
-    def html_to_raw_pickle(self, sskj_html_filepath, raw_pickle_filepath):
-        entries = dict(self.parse_file(sskj_html_filepath, self.parse_line))
-        print("entries len: " + str(len(entries)))
-        with open(raw_pickle_filepath, "wb") as f:
-            tmpstr = json.dumps(dict(entries))
-            pickle.dump(tmpstr, f)
-        # debugging
-
-    def raw_pickle_to_parsed_pickle(
-        self, raw_pickle_filepath, parsed_pickle_filepath,
-        se_list_filepath
-    ):
-        data = self.load_raw_pickle(raw_pickle_filepath)
-        print("raw_pickle data len: " + str(len(data)))
-        se_list = self.gen_se_list(data)
-        print("se_list len: " + str(len(se_list)))
-        with open(se_list_filepath, "wb") as f:
-            pickle.dump(se_list, f)
-        data1 = self.remove_se(data)
-        data2 = self.reorganize(data1, se_list)
-        print("data2 len: " + str(len(data2.keys())))
-        with open(parsed_pickle_filepath, "wb") as f:
-            pickle.dump(data2, f)
-
-    # helper html reading functions
-    def parse_file(self, path, f_parse_line):
-        tstart = time()
-        entries = defaultdict(list)
-        with open(path, "r") as f:
-            for line in f:
-                data = f_parse_line(line)
-                if data is not None:
-                    entries[data["izt_clean"]].append(data)
-        print("parse_file({}) in {:.2f}s".format(path, time() - tstart))
-        return entries
-
-    def parse_line(self, line):
-        def helper_bv_set(g_or_p):
-            if g_or_p not in ["G", "P"]:
-                print("Err g_or_p.")
-                exit(1)
-            if data.get("bv") is not None:
-                if data["bv"] != g_or_p:
-                    print(str(line))
-                    # exit(1)
-            data["bv"] = g_or_p
-        data = {
-            "izt": "",
-            "izt_clean": "",
-            "senses": defaultdict(list)
-        }
-        soup = BS(line, "html.parser")
-
-        current_sense_id = "0"
-        for span in soup.find_all("span"):
-
-            # sense id
-            if span.string is not None:
-                rmatch = rord.match(span.string)
-                if rmatch is not None:
-                    current_sense_id = rmatch.group().strip()
-
-            title = span.attrs.get("title")
-            if title is not None:
-                title = title.lower()
-
-                # only verbs and adjectives
-                if "glagol" in title:
-                    helper_bv_set("G")
-                    data["bv_full"] = title
-                elif "pridevn" in title:
-                    helper_bv_set("P")
-                    data["bv_full"] = title
-
-                # žšč
-                if title == "iztočnica":
-                    data["izt"] = span.string
-                    data["izt_clean"] = span.string.translate(transtab).lower()
-
-                # sense description
-                if title == "razlaga" and span.string is not None:
-                    data["senses"][current_sense_id].append(
-                        ("razl", span.string))
-                    if "pridevnik od" in span.string:
-                        helper_bv_set("P")
-
-                if title == "sopomenka":
-                    subspan = span.find_all("a")[0]
-                    if subspan.string is not None:
-                        data["senses"][current_sense_id].append(
-                            ("sopo", subspan.string))
-
-        # save verbs and adjectives
-        if (
-            ("bv" not in data) or
-            (data["bv"] != "P" and data["bv"] != "G")
-        ):
-            return None
-
-        # sanity check
-        if data["bv"] == "P" and " se" in data["izt_clean"]:
-            print(data)
-            exit(1)
-
-        # append _ to adjective keywords
-        if data["bv"] == "P":
-            data["izt_clean"] = data["izt_clean"] + "_"
-
-        # cleanup
-        if "bv" not in data:
-            print("Should not be here (no bv).")
-            exit(1)
-        del(data["bv"])
-        if "bv_full" in data:
-            del(data["bv_full"])
-
-        return data
-
-    # helper functions
-    def load_raw_pickle(self, raw_pickle_filepath):
-        with open(raw_pickle_filepath, "rb") as f:
-            tmpstr = pickle.load(f)
-            return json.loads(tmpstr)
-
-    def helper_loop(self, data, fnc):
-        for k, lst in data.items():
-            for el in lst:
-                fnc(el)
-
-    def gen_se_list(self, data):
-
-        def fnc1(el):
-            ic = el["izt_clean"]
-            if " se" in ic:
-                se_list.append(ic)
-
-        def fnc2(el):
-            ic = el["izt_clean"]
-            if ic in se_pruned:
-                se_pruned.remove(ic)
-
-        # hw entries that only exist with " se"
-        se_list = []
-        self.helper_loop(data, fnc1)
-        se_pruned = set([hw.split(" se")[0] for hw in se_list])
-        self.helper_loop(data, fnc2)
-        return sorted(list(se_pruned))
-
-    def remove_se(self, data):
-
-        def fnc1(el):
-            nel = DC(el)
-            ic = nel["izt_clean"]
-            if " se" in ic:
-                nic = ic.split(" se")[0]
-                nel["izt_clean"] = nic
-            data_new[nel["izt_clean"]].append(nel)
-
-        data_new = defaultdict(list)
-        self.helper_loop(data, fnc1)
-        return dict(data_new)
-
-    def reorganize(self, data, se_list):
-        # some hw entries have several headwords,
-        # some senses have subsenses
-        # index everything, make 1 object per hw
-
-        def helper_prune(sense_str):
-            # remove space padding
-            sense_str = sense_str.strip()
-
-            if len(sense_str) == 1:
-                return sense_str
-
-            # remove banned characters from string ending
-            banned = ": ; . , - ! ?".split(" ")
-            if sense_str[-1] in banned:
-                return sense_str[:-1]
-
-            return sense_str
-
-        data_new = {}
-        for k, lst in data.items():
-            new_el = {
-                "hw": k,
-                "has_se": k in se_list,
-                "senses": []
-            }
-
-            # if there is a single hw entry, hw_id is 0
-            if len(lst) == 1:
-                homonym_id = -1
-            else:
-                homonym_id = 0
-
-            # loop homonyms
-            for el in lst:
-                homonym_id += 1
-                # loop top lvl sense ids
-                for sense_id, sens_lst in el["senses"].items():
-                    # loop subsenses
-                    for i, sens in enumerate(sens_lst):
-                        nsid = sense_id.split(".")[0]
-                        if len(sens_lst) == 1:
-                            nsid += "-0"
-                        else:
-                            nsid += ("-" + str(i + 1))
-                        new_sense = {
-                            "homonym_id": homonym_id,
-                            # sense_id: sense_id-subsense_id
-                            "sense_id": nsid,
-                            "sense_type": sens[0],
-                            "sense_desc": helper_prune(sens[1]),
-                        }
-                        new_el["senses"].append(new_sense)
-            hw = new_el["hw"]
-            if hw in data_new:
-                print("Shouldn't be here.")
-                print(new_el)
-                exit(1)
-            data_new[hw] = DC(new_el)
-        # return data_new
-
-        # check
-        for hw, el in data_new.items():
-            for sens in el["senses"]:
-                if sens["sense_desc"] is None:
-                    print(sens)
-
-        return data_new
-
-
-def plst(lst):
-    for el in lst:
-        print(el)
-
-
-if __name__ == "__main__":
-    datapath = "../../../data"
-    html_filepath = datapath + "/sskj/sskj2_v1.html"
-    raw_pickle_filepath = datapath + "/tmp_pickles/raw_sskj.pickle"
-    parsed_pickle_filepath = datapath + "/no_del_pickles/sskj_senses.pickle"
-    se_list_filepath = datapath + "/no_del_pickles/se_list.pickle"
-
-    p = Seqparser()
-
-    if True:
-        print("html_to_raw_pickle({}, {})".format(
-            html_filepath, raw_pickle_filepath))
-        print("Big file, this might take a while (2 min).")
-        tstart = time()
-        p.html_to_raw_pickle(html_filepath, raw_pickle_filepath)
-        print("Finished in {:.2f}.".format(time() - tstart))
-
-    if False:
-        print("raw_pickle_to_parsed_pickle({}, {}, {})".format(
-            raw_pickle_filepath, parsed_pickle_filepath, se_list_filepath))
-        tstart = time()
-        p.raw_pickle_to_parsed_pickle(
-            raw_pickle_filepath, parsed_pickle_filepath, se_list_filepath)
-        print("Finished in {:.2f}.".format(time() - tstart))
-    print("Done.")

src/pkg/seqparser/seqparser/main.py

@@ -1,68 +0,0 @@
-from Seqparser import Seqparser
-import argparse
-import sys
-from pathlib import Path
-import json
-import datetime
-import hashlib
-from pymongo import MongoClient
-
-SSKJ_USER = "sskj2"
-
-if __name__ == "__main__":
-    aparser = argparse.ArgumentParser()
-    aparser.add_argument("--sskj-html", type=str)
-    aparser.add_argument("--sskj-json", type=str)
-    aparser.add_argument("--wordlist", type=str)
-    aparser.add_argument("--operation", type=str)
-    aparser.add_argument("--dbaddr", type=str)
-    aparser.add_argument("--dbuser", type=str)
-    aparser.add_argument("--dbpass", type=str)
-    args = aparser.parse_args()
-
-    if args.operation == "gen_sskj_json":
-        sqp = Seqparser()
-        sqp.html_to_verb_adj_json(args.sskj_html, args.sskj_json)
-        sys.exit()
-
-    if args.operation == "gen_wordlist":
-        sqp = Seqparser()
-        sqp.generate_sskj_wordlist(args.sskj_senses, args.wordlist)
-        sys.exit()
-
-    if args.operation == "senses_to_db":
-        db_entries = []
-        tmp_dt = datetime.datetime.utcnow()
-        with Path(args.sskj_json).open("r") as fp:
-            jdata = json.load(fp)   
-            # print(jdata[list(jdata.keys())[201]])
-            for hw, entry in jdata.items():
-                for key, sense in entry[0]["senses"].items():
-                    desc = sense[0][1]
-                    if sense[0][0] == "razl":
-                        desc = desc[:-1]  # for some reason, descriptions contain a ':'
-                    else:
-                        desc = sense[0][0] + ": " + desc
-                    tmp_entry = {
-                        "desc": desc,
-                        "hw": hw,
-                        "author": SSKJ_USER
-                    }
-                    tmp_entry["sense_id"] = "{}-{}".format(
-                        SSKJ_USER,
-                        hashlib.sha256(str(tmp_entry).encode("utf-8")).hexdigest()[:10]
-                    )
-                    tmp_entry["date"] = tmp_dt
-                    db_entries.append(tmp_entry)
-        print(len(db_entries))
-
-        # db login
-        client = MongoClient(
-            "mongodb://{}".format(args.dbaddr),
-            username=args.dbuser,
-            password=args.dbpass,
-            authSource="valdb",
-            authMechanism='SCRAM-SHA-1'
-        )
-        valdb = client.valdb
-        valdb.senses.insert_many(db_entries)

src/pkg/seqparser/setup.py

@@ -1,11 +0,0 @@
-from setuptools import setup
-
-setup(
-    name='seqparser',
-    version='0.0.1',
-    description='Parser for sskj2 html dump.',
-    author='Kristjan Voje',
-    author_email='kristjan.voje@gmail.com',
-    license='MIT',
-    packages=['seqparser'],
-)

src/pkg/valency/valency/Frame.py

@@ -37,8 +37,7 @@ def frames_from_db_entry(dbent):
     return frames
 
 class Frame():
-    def __init__(self, tids, deep_links=None, slots=None, 
-        hw_lemma=None, sentences=None, sentence_count=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";
@@ -51,8 +50,6 @@ class Frame():
         self.sense_info = {}
         self.sentences = sentences
         self.aggr_sent = None  # Dictionary { hw: self.sentences idx }
-        self.sentence_count = sentence_count  # paging, optimization
-
 
     def get_functors(self):
         return [slot.functor for slot in self.slots]
@@ -65,8 +62,7 @@ class Frame():
             "slots": [slot.to_json() for slot in self.slots],
             "sentences": self.sentences,
             "aggr_sent": self.aggr_sent,
-            "sense_info": self.sense_info,
-            "sentence_count": self.sentence_count
+            "sense_info": self.sense_info
         }
         return ret
 

src/pkg/valency/valency/frame.py

@@ -0,0 +1,96 @@
+import logging
+
+log = logging.getLogger(__name__)
+
+
+class Frame():
+    def __init__(self, tids, deep_links=None, slots=None, hw=None):
+        self.hw = hw
+        self.tids = tids   # list of tokens with the same hw_lemma
+        # Each tid = "S123.t123";
+        # you can get sentence with vallex.get_sentence(S123)
+        self.slots = []
+        if slots is None:
+            self.slots = self.init_slots(deep_links)
+        else:
+            self.slots = slots
+        self.sense_info = {}
+        self.sentences = None  # Used for passing to view in app.py, get_frames
+        self.aggr_sent = None  # Dictionary { hw: self.sentences idx }
+
+    def to_json(self):
+        ret = {
+            "hw": self.hw,
+            "tids": self.tids,
+            "slots": [slot.to_json() for slot in self.slots],
+            "sentences": self.sentences,
+            "aggr_sent": self.aggr_sent,
+            "sense_info": self.sense_info
+        }
+        return ret
+
+    def init_slots(self, deep):
+        slots = []
+        for link in deep:
+            slots.append(Slot(
+                functor=link["functor"],
+                tids=[link["to"]]
+            ))
+        return slots
+
+    def sort_slots(self):
+        # ACT, PAT, alphabetically
+        srt1 = [
+            x for x in self.slots
+            if (x.functor == "ACT" or
+                x.functor == "PAT")
+        ]
+        srt1 = sorted(srt1, key=lambda x: x.functor)
+        srt2 = [
+            x for x in self.slots
+            if (x.functor != "ACT" and
+                x.functor != "PAT")
+        ]
+        srt2 = sorted(srt2, key=lambda x: x.functor)
+        self.slots = (srt1 + srt2)
+
+    def to_string(self):
+        ret = "Frame:\n"
+        ret += "sense_info: {}\n".format(str(self.sense_info))
+        ret += "tids: ["
+        for t in self.tids:
+            ret += (str(t) + ", ")
+        ret += "]\n"
+        if self.slots is not None:
+            ret += "slots:\n"
+            for sl in self.slots:
+                ret += (sl.to_string() + "\n")
+        return ret
+
+
+class Slot():
+    # Each slot is identified by its functor (ACT, PAT, ...)
+    # It consists of different tokens.
+    def __init__(self, functor, tids=None, count=None):
+        self.functor = functor
+        self.tids = tids or []  # combining multiple sentences vertically
+        self.count = count or 1
+
+    def to_string(self):
+        ret = "---- Slot:\n"
+        ret += "functor: {}\n".format(self.functor)
+        ret += "tids: ["
+        for t in self.tids:
+            ret += (str(t) + ", ")
+        ret += "]\n"
+        ret += "]\n"
+        ret += "----\n"
+        return ret
+
+    def to_json(self):
+        ret = {
+            "functor": self.functor,
+            "tids": self.tids,
+            "count": self.count
+        }
+        return ret

src/pkg/valency/valency/reduce_functions.py

@@ -9,7 +9,6 @@ import logging
 log = logging.getLogger(__name__)
 
 SENSE_UNDEFINED = "nedefinirano"
-SENTENCE_LIMIT = 10
 
 ## TIDI: use frame.py
 ## TODO: build a list of [Frame] with lists of [Slot]
@@ -34,8 +33,10 @@ def reduce_0(frames, valdb_sensemap=None):
     separated_frames = []
     for frame in frames:
         for tid in frame.tids:
-            tmp_frame = DC(frame)
+            tmp_frame = frame
             tmp_frame.tids = [tid]
+            tmp_frame.sort_slots()
+
             separated_frames.append(tmp_frame)
             sorting_strings.append("".join(
                 [slot.functor for slot in tmp_frame.slots]
@@ -71,10 +72,7 @@ def reduce_1(frames, valdb_sensemap=None):
         for functor in fs[0]:
             slots[functor] = Slot(functor=functor)
         # Reduce slots from all frames. (Merge ACT from all frames, ...)
-        sentence_count = len(fs[1])
         for frame in fs[1]:
-            if len(tids) >= SENTENCE_LIMIT:
-                break
             tids += frame.tids
             sentences += frame.sentences
             for sl in frame.slots:
@@ -82,13 +80,8 @@ def reduce_1(frames, valdb_sensemap=None):
         slots_list = []
         for k, e in slots.items():
             slots_list.append(e)
-        rf = Frame(
-            hw_lemma=fs[1][0].hw,
-            tids=tids,
-            slots=slots_list,
-            sentences=sentences,
-            sentence_count=sentence_count
-        )
+        # TODO does appending hw_lemma of first frame work for functor frames too?
+        rf = Frame(hw_lemma=fs[1][0].hw, tids=tids, slots=slots_list, sentences=sentences)
         rf.sort_slots()
         ret_frames.append(rf)
     return sorted_by_len_tids(ret_frames)
@@ -191,11 +184,7 @@ def frames_from_sense_ids(raw_frames, id_map):
         tids = []
         reduced_slots = []
         sentences = []
-
-        sentence_count = len(frames)
         for frame in frames:
-            if len(tids) >= SENTENCE_LIMIT:
-                break
             tids += frame.tids
             sentences += frame.sentences
             for slot in frame.slots:
@@ -217,8 +206,7 @@ def frames_from_sense_ids(raw_frames, id_map):
             hw_lemma="derp",
             tids=tids,
             slots=reduced_slots,
-            sentences=sentences,
-            sentence_count=sentence_count,
+            sentences=sentences
         )
         id_map_entry = (
             id_map.get(tids[0]) or