1 Commits

Author SHA1 Message Date
voje
c563df31ba fixed reduce_0 functors sort ACT, PAT, other... 2019-04-24 07:50:20 +02:00
29 changed files with 3002 additions and 3479 deletions

1
.gitignore vendored
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@@ -1,5 +1,4 @@
data/samples/
data/wordlist.json
*egg-info/
*.pyc
src/frontend_vue/node_modules/

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@@ -3,38 +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"
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
@@ -65,7 +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:
@@ -106,12 +88,10 @@ frontend-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) \
--prepare-db
backend-dev:
@@ -123,12 +103,3 @@ 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)
## 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)

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@@ -81,21 +81,18 @@ $ 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
```

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

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

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@@ -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"

25
makefile_vars.example Normal file
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@@ -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)

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@@ -38,8 +38,6 @@ 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__)
valdb = None
@@ -324,8 +322,6 @@ 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():
@@ -411,8 +407,6 @@ def api_senses_update():
ns["date"] = tmp_dt
id_map[frontend_sense_id] = new_sense_id
print(ns)
# insert into db
valdb[SENSES_COLL].insert(ns)
@@ -436,18 +430,6 @@ def api_senses_update():
# APP PREFLIGHT ---------------------.
def _is_banned(hw):
banned = True
if hw in BANNED_HEADWORDS:
banned = True
elif hw in sskj_wordlist["wordlist"]:
banned = False
elif (hw + " se") in sskj_wordlist["wordlist"]:
banned = False
if hw[-1] == "_":
log.debug("hw: {}, banned: {}".format(hw, banned))
return banned
def prepare_app_index():
log.info("[*] preparing app_index")
@@ -480,10 +462,8 @@ def prepare_app_index():
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()]
@@ -503,7 +483,6 @@ 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)
args = aparser.parse_args()
config = None
@@ -528,8 +507,6 @@ if __name__ == "__main__":
valdb = client.valdb
if args.prepare_db:
with Path(args.sskj_wordlist).open("r") as fp:
sskj_wordlist = json.load(fp)
prepare_app_index()
sys.exit()

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@@ -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)
@@ -20,5 +21,3 @@ dev: 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
node-env: clean
docker run --name $(CONNAME) -it -p 8080:8080 -v $(shell pwd):/src $(IMGNAME)

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@@ -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",
"optimize-css-assets-webpack-plugin": "^5.0.1",
"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",

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@@ -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>

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@@ -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>

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@@ -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>

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@@ -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) }})

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@@ -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>

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@@ -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 () {

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@@ -2,10 +2,7 @@
<nav>
<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>
.bg-light {
background-color: rgb(183,21,17,0.9) !important;
}
nav a {
color: white;
}
nav a:hover {
color: white;
}
.cursorpointer {
cursor: pointer;
}
</style>

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@@ -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>

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@@ -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"
>

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@@ -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)

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@@ -1 +0,0 @@
bs4

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@@ -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.")

View File

@@ -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)

View File

@@ -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'],
)

View File

@@ -33,8 +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]