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36 changed files with 2568 additions and 2458 deletions

2
.gitignore vendored
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@ -1,5 +1,7 @@
data/samples/ data/samples/
data/wordlist.json data/wordlist.json
data/sskj_senses.json
data/appindex.json
*egg-info/ *egg-info/
*.pyc *.pyc
src/frontend_vue/node_modules/ src/frontend_vue/node_modules/

16
Dockerfile-backend-flask Normal file
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@ -0,0 +1,16 @@
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"]

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@ -21,6 +21,9 @@ KRES_SRL_FOLDER = "/home/kristjan/kres_data/payload/kres_json"
SSKJ_WORDLIST = "$(MAKE_ROOT)/data/wordlist.json" SSKJ_WORDLIST = "$(MAKE_ROOT)/data/wordlist.json"
SSKJ_JSON = "$(MAKE_ROOT)/data/sskj_senses.json" SSKJ_JSON = "$(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 = "db"
# OUTPUT = "file" # OUTPUT = "file"
OUTDIR = "/tmp/three" # if you're running this in docker, make sure to mount the volume OUTDIR = "/tmp/three" # if you're running this in docker, make sure to mount the volume
@ -102,6 +105,9 @@ frontend-dev:
frontend-prod: frontend-prod:
cd src/frontend_vue/; $(MAKE) prod cd src/frontend_vue/; $(MAKE) prod
build-frontend-prod:
cd src/frontend_vue/; $(MAKE) build-prod
## Backend ## Backend
@ -112,17 +118,23 @@ backend-prepare-db:
--config-file ./conf_files/dev_conf.yaml \ --config-file ./conf_files/dev_conf.yaml \
--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR) \ --dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR) \
--sskj-wordlist $(SSKJ_WORDLIST) \ --sskj-wordlist $(SSKJ_WORDLIST) \
--appindex-json $(APPINDEX_PATH) \
--prepare-db --prepare-db
backend-dev: backend-dev:
cd ./src/backend_flask; python3 app.py \ cd ./src/backend_flask; python3 app.py \
--config-file ./conf_files/dev_conf.yaml \ --config-file ./conf_files/dev_conf.yaml \
--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR) --dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR) \
--appindex-json $(APPINDEX_PATH)
backend-prod: backend-prod-old:
cd ./src/backend_flask; python3 app.py \ cd ./src/backend_flask; python3 app.py \
--config-file ./conf_files/prod_conf.yaml \ --config-file ./conf_files/prod_conf.yaml \
--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR) --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) ## add sskj senses to db (generated with pkg/seqparser)
sskj-senses: sskj-senses:
@ -132,3 +144,7 @@ sskj-senses:
--dbaddr $(DBADDR) \ --dbaddr $(DBADDR) \
--dbuser $(DB_USR_USER) \ --dbuser $(DB_USR_USER) \
--dbpass $(DB_USR_PASS) --dbpass $(DB_USR_PASS)
deploy-prod-stack:
- docker network create val-backend
docker stack deploy -c production.yaml val

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@ -52,8 +52,6 @@ $ make fill-database-ssj
$ make fill-database-kres $ make fill-database-kres
# You can detach from the running process using Ctrl-p + Ctrl-q # You can detach from the running process using Ctrl-p + Ctrl-q
# this is a long operation # this is a long operation
# if running on a remote server, use nohup: # if running on a remote server, use nohup:
$ nohup $(make fill-database > fill-database.log) & $ nohup $(make fill-database > fill-database.log) &
@ -74,6 +72,10 @@ $ make python-env-install
# needs to be ran once to modify a new database # needs to be ran once to modify a new database
$ make backend-prepare-db $ 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 # with debugger
$ make backend-dev $ make backend-dev
@ -100,3 +102,80 @@ $ make frontend-prod
``` ```
App available on: `http://0.0.0.0:8080`. 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.

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

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

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

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

26
nginx.conf Normal file
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@ -0,0 +1,26 @@
# 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;
}
}

43
production.yaml Normal file
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@ -0,0 +1,43 @@
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

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@ -0,0 +1,16 @@
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

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@ -26,25 +26,21 @@ from email.mime.text import MIMEText
from copy import deepcopy as DC from copy import deepcopy as DC
from pathlib import Path from pathlib import Path
from pymongo import MongoClient from pymongo import MongoClient
from flask_pymongo import PyMongo
import pymongo import pymongo
import argparse 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
sskj_wordlist = None # used by _is_banned(hw)
BANNED_HEADWORDS = ["biti"]
log = logging.getLogger(__name__) log = logging.getLogger(__name__)
valdb = None
app = Flask(__name__) 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 # when running vuejs via webpack
# CORS(app) # CORS(app)
@ -59,7 +55,7 @@ CORS(app)
@app.route("/api/dev") @app.route("/api/dev")
def api_dev(): def api_dev():
print("DEV") print("DEV")
cur = valdb.kres.find({"headwords": "nagovarjati"}) cur = mongo.db.kres.find({"headwords": "nagovarjati"})
frames = [] frames = []
for ent in cur: for ent in cur:
frames += frames_from_db_entry(ent) frames += frames_from_db_entry(ent)
@ -72,12 +68,12 @@ def api_dev():
@app.route("/api/words/<corpus>") @app.route("/api/words/<corpus>")
def api_words(corpus): def api_words(corpus):
return json.dumps({ return json.dumps({
"sorted_words": app_index[corpus]["words"], # todo - make corpus as arg "sorted_words": app.config["app_index"][corpus]["words"], # todo - make corpus as arg
}) })
@app.route("/api/functors/<corpus>") @app.route("/api/functors/<corpus>")
def api_functors(corpus): def api_functors(corpus):
return json.dumps(app_index[corpus]["functors"]) return json.dumps(app.config["app_index"][corpus]["functors"])
# INDEX SELECTION -------------------^ # INDEX SELECTION -------------------^
@ -98,7 +94,7 @@ def api_register():
): ):
return "ERR" return "ERR"
email_hash = hashlib.sha256(email.encode("utf-8")).hexdigest() email_hash = hashlib.sha256(email.encode("utf-8")).hexdigest()
existing = list(valdb[USERS_COLL].find({ existing = list(mongo.db.users.find({
"$or": [{"username": username}, {"email": email_hash}] "$or": [{"username": username}, {"email": email_hash}]
})) }))
if len(existing) > 0: if len(existing) > 0:
@ -109,7 +105,7 @@ def api_register():
password.encode("utf-8")).hexdigest(), password.encode("utf-8")).hexdigest(),
"email": email_hash "email": email_hash
} }
valdb[USERS_COLL].insert(entry) mongo.db.users.insert(entry)
return "OK" return "OK"
@ -121,7 +117,7 @@ def api_login():
password = data["password"] password = data["password"]
hpass = hashlib.sha256(password.encode("utf-8")).hexdigest() hpass = hashlib.sha256(password.encode("utf-8")).hexdigest()
db_user = list(valdb[USERS_COLL].find({ db_user = list(mongo.db.users.find({
"username": username, "username": username,
"hpass": hpass "hpass": hpass
})) }))
@ -135,7 +131,7 @@ def api_login():
"date": datetime.datetime.utcnow(), "date": datetime.datetime.utcnow(),
"token": token "token": token
} }
valdb[TOKENS_COLL].update( mongo.db.usertokens.update(
{"username": token_entry["username"]}, {"username": token_entry["username"]},
token_entry, token_entry,
upsert=True upsert=True
@ -178,7 +174,7 @@ def api_new_pass():
username = data["username"] username = data["username"]
email = data["email"] email = data["email"]
hemail = hashlib.sha256(email.encode("utf-8")).hexdigest() hemail = hashlib.sha256(email.encode("utf-8")).hexdigest()
db_res = list(valdb[USERS_COLL].find({ db_res = list(mongo.db.users.find({
"username": username, "username": username,
"email": hemail "email": hemail
})) }))
@ -190,7 +186,7 @@ def api_new_pass():
string.ascii_letters + string.digits) for i in range(10)]) string.ascii_letters + string.digits) for i in range(10)])
# update locally # update locally
hpass = hashlib.sha256(new_pass.encode("utf-8")).hexdigest() hpass = hashlib.sha256(new_pass.encode("utf-8")).hexdigest()
valdb[USERS_COLL].update( mongo.db.users.update(
{ {
"username": username, "username": username,
"email": hemail "email": hemail
@ -208,12 +204,12 @@ def token_to_username(token):
key = { key = {
"token": token "token": token
} }
res = list(valdb[TOKENS_COLL].find(key)) res = list(mongo.db.usertokens.find(key))
if len(res) != 1: if len(res) != 1:
return None return None
username = res[0]["username"] username = res[0]["username"]
# update deletion interval # update deletion interval
valdb[TOKENS_COLL].update( mongo.db.usertokens.update(
key, {"$set": {"date": datetime.datetime.utcnow()}}) key, {"$set": {"date": datetime.datetime.utcnow()}})
return username return username
@ -248,18 +244,19 @@ def api_get_frames():
RF = reduce_functions[rf_name]["f"] RF = reduce_functions[rf_name]["f"]
corpus = request.args.get("cor") corpus = request.args.get("cor")
if corpus not in CORPORA: if corpus not in app.config["CORPORA"]:
return json.dumps({"error": "cor={kres,ssj}"}) return json.dumps({"error": "cor={kres,ssj}"})
cur = valdb[corpus].find({"headwords": hw}) cur = mongo.db[corpus].find({"headwords": hw})
frames = [] frames = []
for ent in cur: for ent in cur[:app.config["QUERY_LIMIT"]]:
frames += frames_from_db_entry(ent) # pre-process this step for prod TODO frames += frames_from_db_entry(ent) # pre-process this step for prod TODO
cur.close()
# filter by relevant hw # filter by relevant hw
frames = [x for x in frames if x.hw == hw] frames = [x for x in frames if x.hw == hw]
ret_frames = RF(frames, valdb[SENSEMAP_COLL]) ret_frames = RF(frames, mongo.db.sensemap)
json_ret = {"frames": []} json_ret = {"frames": []}
for frame in ret_frames: for frame in ret_frames:
@ -300,19 +297,20 @@ def api_get_functor_frames():
RF = reduce_functions[rf_name]["f"] RF = reduce_functions[rf_name]["f"]
corpus = request.args.get("cor") corpus = request.args.get("cor")
if corpus not in CORPORA: if corpus not in app.config["CORPORA"]:
return json.dumps({"error": "cor={kres,ssj}"}) return json.dumps({"error": "cor={kres,ssj}"})
cur = valdb[corpus].find({"functors": functor}) cur = mongo.db[corpus].find({"functors": functor})
frames = [] frames = []
for ent in cur: for ent in cur[:app.config["QUERY_LIMIT"]]:
frames += frames_from_db_entry(ent) # pre-process this step for prod TODO frames += frames_from_db_entry(ent) # pre-process this step for prod TODO
cur.close()
# filter by relevant functor # filter by relevant functor
frames = [x for x in frames if functor in x.get_functors()] frames = [x for x in frames if functor in x.get_functors()]
# raw_frames = vallex.functors_index[functor] # TODO # raw_frames = vallex.functors_index[functor] # TODO
ret_frames = RF(frames, valdb[SENSEMAP_COLL]) ret_frames = RF(frames, mongo.db.sensemap)
ret_frames = _aggregate_by_hw(ret_frames) ret_frames = _aggregate_by_hw(ret_frames)
json_ret = {"frames": []} json_ret = {"frames": []}
@ -331,10 +329,10 @@ def api_get_functor_frames():
def api_senses_get(): def api_senses_get():
# returns senses and mapping for hw # returns senses and mapping for hw
hw = request.args.get("hw") hw = request.args.get("hw")
senses = list(valdb[SENSES_COLL].find({ senses = list(mongo.db.senses.find({
"hw": hw "hw": hw
})) }))
sense_map_query = list(valdb[SENSEMAP_COLL].find({ sense_map_query = list(mongo.db.sensemap.find({
"hw": hw "hw": hw
})) }))
# aggregation by max date possible on DB side # aggregation by max date possible on DB side
@ -414,7 +412,7 @@ def api_senses_update():
print(ns) print(ns)
# insert into db # insert into db
valdb[SENSES_COLL].insert(ns) mongo.db.senses.insert(ns)
# replace tmp_id with mongo's _id # replace tmp_id with mongo's _id
for ssj_id, el in sense_map.items(): for ssj_id, el in sense_map.items():
@ -429,7 +427,7 @@ def api_senses_update():
"date": datetime.datetime.utcnow() "date": datetime.datetime.utcnow()
} }
# vallex.db["v2_sense_map"].update(key, data, upsert=True) # vallex.db["v2_sense_map"].update(key, data, upsert=True)
valdb[SENSEMAP_COLL].insert(data) mongo.db.sensemap.insert(data)
return "OK" return "OK"
# SENSES ----------------------------^ # SENSES ----------------------------^
@ -438,25 +436,25 @@ def api_senses_update():
# APP PREFLIGHT ---------------------. # APP PREFLIGHT ---------------------.
def _is_banned(hw): def _is_banned(hw):
banned = True banned = True
if hw in BANNED_HEADWORDS: if hw in app.config["BANNED_HEADWORDS"]:
banned = True banned = True
elif hw in sskj_wordlist["wordlist"]: elif hw in sskj_wordlist["wordlist"]:
banned = False banned = False
elif (hw + " se") in sskj_wordlist["wordlist"]: elif (hw + " se") in sskj_wordlist["wordlist"]:
banned = False banned = False
if hw[-1] == "_":
log.debug("hw: {}, banned: {}".format(hw, banned))
return banned return banned
def prepare_app_index(): def prepare_app_index(appindex_json, sskj_wordlist):
log.info("[*] preparing app_index") log.info("[*] preparing app_index")
# create app_index (used in frontend, left side word index) # create app_index (used in frontend, left side word index)
tmp_app_index = {c: {} for c in CORPORA} tmp_app_index = {c: {} for c in app.config["CORPORA"]}
for corpus in CORPORA: for corpus in app.config["CORPORA"]:
res_hws = {} res_hws = {}
res_fns = {} res_fns = {}
for e in valdb[corpus].find({}):
nentries = mongo.db[corpus].count()
idx = 0
for e in mongo.db[corpus].find({}):
if "headwords" not in e: if "headwords" not in e:
continue continue
for hw in e["headwords"]: for hw in e["headwords"]:
@ -471,6 +469,10 @@ def prepare_app_index():
res_fns[fn] += 1 res_fns[fn] += 1
else: else:
res_fns[fn] = 1 res_fns[fn] = 1
idx += 1
if idx % 10000 == 0:
log.debug("indexing {}: {}/{}".format(
corpus, idx, nentries))
alphabetical = {} alphabetical = {}
for k, e in res_hws.items(): for k, e in res_hws.items():
@ -486,15 +488,41 @@ def prepare_app_index():
tmp_app_index[corpus]["words"] = alphabetical tmp_app_index[corpus]["words"] = alphabetical
functors = [(k, e) for (k, e) in res_fns.items()] functors = [(k, e) for (k, e) in res_fns.items()]
functors = sorted(functors, key=lambda x: x[0]) functors = sorted(functors, key=lambda x: x[0])
tmp_app_index[corpus]["functors"] = functors tmp_app_index[corpus]["functors"] = functors
valdb.appindex.update({"dockey": "appindex"}, {"dockey": "appindex", "data": tmp_app_index}, upsert=True) with Path(appindex_json).open("w") as fp:
json.dump(tmp_app_index, fp)
# APP PREFLIGHT ---------------------^ # 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__": if __name__ == "__main__":
print("Starting app.py main()") print("Starting app.py main()")
aparser = argparse.ArgumentParser(description="Arguments for app.py") aparser = argparse.ArgumentParser(description="Arguments for app.py")
@ -504,9 +532,9 @@ if __name__ == "__main__":
aparser.add_argument("--dbpass", type=str) aparser.add_argument("--dbpass", type=str)
aparser.add_argument("--dbaddr", type=str) aparser.add_argument("--dbaddr", type=str)
aparser.add_argument("--sskj-wordlist", type=str) aparser.add_argument("--sskj-wordlist", type=str)
aparser.add_argument("--appindex-json", type=str)
args = aparser.parse_args() args = aparser.parse_args()
config = None
with Path(args.config_file).open("r") as fp: with Path(args.config_file).open("r") as fp:
config = list(yaml.safe_load_all(fp))[0] config = list(yaml.safe_load_all(fp))[0]
@ -517,27 +545,31 @@ if __name__ == "__main__":
else: else:
logging.basicConfig(filename=logfile, level=logging.INFO) logging.basicConfig(filename=logfile, level=logging.INFO)
"""
# db login # db login
client = MongoClient( client = MongoClient(
"mongodb://{}".format(args.dbaddr), "mongodb://{}".format(args.dbaddr),
username=args.dbuser, username=args.dbuser,
password=args.dbpass, password=args.dbpass,
authSource="valdb", authSource="mongo.db",
authMechanism='SCRAM-SHA-1' authMechanism='SCRAM-SHA-1'
) )
valdb = client.valdb valdb = client.mongo.db
"""
if args.prepare_db: if args.prepare_db:
with Path(args.sskj_wordlist).open("r") as fp: with Path(args.sskj_wordlist).open("r") as fp:
sskj_wordlist = json.load(fp) sskj_wordlist = json.load(fp)
prepare_app_index() prepare_app_index(args.appindex_json, sskj_wordlist)
sys.exit() sys.exit()
# app index from db # app index from db
app_index = (valdb.appindex.find_one({"dockey": "appindex"}))["data"] with Path(args.appindex_json).open("r") as fp:
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%s".format(config))
log.info("[*] Starting app.py with config:\n{}".format(config)) log.info("[*] Starting app.py with config:\n{}".format(config))
app.run(host=str(config["host"]), port=int(config["port"])) app.run(host=str(config["host"]), port=int(config["port"]))

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

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

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

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@ -0,0 +1,8 @@
#!/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

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@ -1,73 +0,0 @@
# 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)

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@ -18,7 +18,12 @@ dev: build-container clean
docker run --name $(CONNAME) -d -p 8080:8080 -v $(shell pwd):/src $(IMGNAME) /src/ops_scripts/dev.sh docker run --name $(CONNAME) -d -p 8080:8080 -v $(shell pwd):/src $(IMGNAME) /src/ops_scripts/dev.sh
prod: build-container clean prod: build-container clean
docker run --name $(CONNAME) -d -p 8080:8080 -v $(shell pwd):/src $(IMGNAME) /src/ops_scripts/prod.sh docker run --restart always --name $(CONNAME) -d -p 8080:8080 -v $(shell pwd):/src $(IMGNAME) /src/ops_scripts/prod.sh
node-env: clean node-env: clean
docker run --name $(CONNAME) -it -p 8080:8080 -v $(shell pwd):/src $(IMGNAME) 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

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

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@ -0,0 +1 @@
<!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>

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@ -0,0 +1,2 @@
!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}}([]);
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@ -0,0 +1 @@
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@ -4,4 +4,4 @@ cp ./config/config_prod.json ./config/config.json
npm install npm install
npm run build npm run build
http-server /src/dist # http-server /src/dist

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@ -38,7 +38,7 @@
"friendly-errors-webpack-plugin": "^1.6.1", "friendly-errors-webpack-plugin": "^1.6.1",
"html-webpack-plugin": "^2.30.1", "html-webpack-plugin": "^2.30.1",
"node-notifier": "^5.4.0", "node-notifier": "^5.4.0",
"optimize-css-assets-webpack-plugin": "^5.0.1", "optimize-css-assets-webpack-plugin": "^3.2.0",
"ora": "^1.2.0", "ora": "^1.2.0",
"portfinder": "^1.0.20", "portfinder": "^1.0.20",
"postcss-import": "^11.0.0", "postcss-import": "^11.0.0",

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@ -6,7 +6,12 @@
<div class="col-sm-7"> <div class="col-sm-7">
<div class="row"> <div class="row">
<div class="col-sm-12"> <div class="col-sm-12">
št. povedi: {{ frameData.sentences.length }} <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>
</div> </div>

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@ -1,6 +1,6 @@
<template> <template>
<nav> <nav>
<b-navbar toggleable="md" type="light" variant="light"> <b-navbar id="nav-red-bg" toggleable="md" type="light" variant="light">
<b-navbar-toggle target="nav_collapse"></b-navbar-toggle> <b-navbar-toggle target="nav_collapse"></b-navbar-toggle>
<!--b-navbar-brand>Vezljivostni vzorci slovenskih glagolov</b-navbar-brand--> <!--b-navbar-brand>Vezljivostni vzorci slovenskih glagolov</b-navbar-brand-->
<b-navbar-brand class=cursorpointer v-on:click="goHome"> <b-navbar-brand class=cursorpointer v-on:click="goHome">
@ -112,7 +112,7 @@ export default {
</script> </script>
<style> <style>
.bg-light { #nav-red-bg {
background-color: rgb(183,21,17,0.9) !important; background-color: rgb(183,21,17,0.9) !important;
} }
nav a { nav a {

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@ -37,7 +37,8 @@ def frames_from_db_entry(dbent):
return frames return frames
class Frame(): class Frame():
def __init__(self, tids, deep_links=None, slots=None, hw_lemma=None, sentences=None): def __init__(self, tids, deep_links=None, slots=None,
hw_lemma=None, sentences=None, sentence_count=None):
self.hw = hw_lemma self.hw = hw_lemma
self.tids = tids # list of tokens with the same hw_lemma self.tids = tids # list of tokens with the same hw_lemma
# Each tid = "S123.t123"; # Each tid = "S123.t123";
@ -50,6 +51,8 @@ class Frame():
self.sense_info = {} self.sense_info = {}
self.sentences = sentences self.sentences = sentences
self.aggr_sent = None # Dictionary { hw: self.sentences idx } self.aggr_sent = None # Dictionary { hw: self.sentences idx }
self.sentence_count = sentence_count # paging, optimization
def get_functors(self): def get_functors(self):
return [slot.functor for slot in self.slots] return [slot.functor for slot in self.slots]
@ -62,7 +65,8 @@ class Frame():
"slots": [slot.to_json() for slot in self.slots], "slots": [slot.to_json() for slot in self.slots],
"sentences": self.sentences, "sentences": self.sentences,
"aggr_sent": self.aggr_sent, "aggr_sent": self.aggr_sent,
"sense_info": self.sense_info "sense_info": self.sense_info,
"sentence_count": self.sentence_count
} }
return ret return ret

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@ -1,96 +0,0 @@
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

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@ -9,6 +9,7 @@ import logging
log = logging.getLogger(__name__) log = logging.getLogger(__name__)
SENSE_UNDEFINED = "nedefinirano" SENSE_UNDEFINED = "nedefinirano"
SENTENCE_LIMIT = 10
## TIDI: use frame.py ## TIDI: use frame.py
## TODO: build a list of [Frame] with lists of [Slot] ## TODO: build a list of [Frame] with lists of [Slot]
@ -70,7 +71,10 @@ def reduce_1(frames, valdb_sensemap=None):
for functor in fs[0]: for functor in fs[0]:
slots[functor] = Slot(functor=functor) slots[functor] = Slot(functor=functor)
# Reduce slots from all frames. (Merge ACT from all frames, ...) # Reduce slots from all frames. (Merge ACT from all frames, ...)
sentence_count = len(fs[1])
for frame in fs[1]: for frame in fs[1]:
if len(tids) >= SENTENCE_LIMIT:
break
tids += frame.tids tids += frame.tids
sentences += frame.sentences sentences += frame.sentences
for sl in frame.slots: for sl in frame.slots:
@ -78,8 +82,13 @@ def reduce_1(frames, valdb_sensemap=None):
slots_list = [] slots_list = []
for k, e in slots.items(): for k, e in slots.items():
slots_list.append(e) slots_list.append(e)
# TODO does appending hw_lemma of first frame work for functor frames too? rf = Frame(
rf = Frame(hw_lemma=fs[1][0].hw, tids=tids, slots=slots_list, sentences=sentences) hw_lemma=fs[1][0].hw,
tids=tids,
slots=slots_list,
sentences=sentences,
sentence_count=sentence_count
)
rf.sort_slots() rf.sort_slots()
ret_frames.append(rf) ret_frames.append(rf)
return sorted_by_len_tids(ret_frames) return sorted_by_len_tids(ret_frames)
@ -182,7 +191,11 @@ def frames_from_sense_ids(raw_frames, id_map):
tids = [] tids = []
reduced_slots = [] reduced_slots = []
sentences = [] sentences = []
sentence_count = len(frames)
for frame in frames: for frame in frames:
if len(tids) >= SENTENCE_LIMIT:
break
tids += frame.tids tids += frame.tids
sentences += frame.sentences sentences += frame.sentences
for slot in frame.slots: for slot in frame.slots:
@ -204,7 +217,8 @@ def frames_from_sense_ids(raw_frames, id_map):
hw_lemma="derp", hw_lemma="derp",
tids=tids, tids=tids,
slots=reduced_slots, slots=reduced_slots,
sentences=sentences sentences=sentences,
sentence_count=sentence_count,
) )
id_map_entry = ( id_map_entry = (
id_map.get(tids[0]) or id_map.get(tids[0]) or