forked from kristjan/cjvt-valency
Merge branch 'master' of gitea.cjvt.si:kristjan/cjvt-valency
This commit is contained in:
commit
9e3254de8e
30
Makefile
30
Makefile
|
@ -8,13 +8,13 @@ MAKE_ROOT = $(shell pwd)
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||||||
# kres is composed of many .xml files
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# kres is composed of many .xml files
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||||||
# I generated srl tags for kres in separate .json files
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# I generated srl tags for kres in separate .json files
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||||||
# (for each kres.xml file there is a kres.json file with srl tags)
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# (for each kres.xml file there is a kres.json file with srl tags)
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SSJ_FILE = "$(MAKE_ROOT)/data/samples/ssj_example/ssj500k-sl.body.sample.xml"
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SSJ_FILE = "$(MAKE_ROOT)/data/samples/ssj_xml/ssj500k-sl.body.sample.xml"
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KRES_FOLDER = "$(MAKE_ROOT)/data/samples/kres_example"
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KRES_FOLDER = "$(MAKE_ROOT)/data/samples/kres_xml"
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# KRES_SRL_FOLDER = "/home/kristjan/kres_srl/final_json/" # t420
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KRES_SRL_FOLDER = "$(MAKE_ROOT)/data/samples/kres_srl_json"
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KRES_SRL_FOLDER = "/home/voje/work_data/final_json" # work-pc
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|
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OUTPUT = "db"
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OUTPUT = "db"
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OUTDIR = "/home/voje/workdir/test_out"
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# OUTPUT = "file"
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OUTDIR = "/tmp/three" # if you're running this in docker, make sure to mount the volume
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DBADDR = "0.0.0.0:27017" # don't use localhost
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DBADDR = "0.0.0.0:27017" # don't use localhost
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|
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MONGOEXPRESS_USER = mxuser
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MONGOEXPRESS_USER = mxuser
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@ -23,6 +23,8 @@ DB_ADM_USER = valadmin
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DB_ADM_PASS = valadminpass
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DB_ADM_PASS = valadminpass
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DB_USR_USER = valuser
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DB_USR_USER = valuser
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DB_USR_PASS = valuserpass
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DB_USR_PASS = valuserpass
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|
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N_CORES = 1
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export
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export
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|
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.PHONY: python-env fill-database
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.PHONY: python-env fill-database
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@ -59,14 +61,17 @@ data/samples:
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cd data; tar xzvf samples.tar.gz
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cd data; tar xzvf samples.tar.gz
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|
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# from inside python-env container:
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# from inside python-env container:
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# you can set OUTPUT = "file" and a valid OUTDIR to test writing to json files instead of DB
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fill-database: data/samples
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fill-database: data/samples
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python3 src/pkg/cjvt-corpusparser/corpusparser/main.py --kres-folder $(KRES_FOLDER) \
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python3 src/pkg/cjvt-corpusparser/corpusparser/main.py --kres-folder $(KRES_FOLDER) \
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--ssj-file $(SSJ_FILE) --kres-srl-folder $(KRES_SRL_FOLDER) \
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--ssj-file $(SSJ_FILE) --kres-srl-folder $(KRES_SRL_FOLDER) \
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--output $(OUTPUT) --outdir $(OUTDIR) --dbaddr $(DBADDR) \
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--output $(OUTPUT) --outdir $(OUTDIR) --dbaddr $(DBADDR) \
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--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS)
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--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) \
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--cores $(N_CORES)
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|
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|
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## Frontend
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## Frontend
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|
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## Run from host
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## Run from host
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## See src/frontend_vue/README.md for port settings etc.
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## See src/frontend_vue/README.md for port settings etc.
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frontend-dev:
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frontend-dev:
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|
@ -77,12 +82,15 @@ frontend-prod:
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||||||
|
|
||||||
|
|
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## Backend
|
## Backend
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backend-dev-init: python-env-install
|
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cd ./src/backend_flask; python3 app.py \
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|
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--config-file ./conf_files/dev_conf_init.yaml \
|
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--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR)
|
|
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|
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backend-dev: python-env-install
|
# runs once and exits before the app starts
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|
backend-prepare-db:
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|
cd ./src/backend_flask; python3 app.py \
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|
--config-file ./conf_files/dev_conf.yaml \
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|
--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR) \
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|
--prepare-db
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||||||
|
|
||||||
|
backend-dev:
|
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cd ./src/backend_flask; python3 app.py \
|
cd ./src/backend_flask; python3 app.py \
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--config-file ./conf_files/dev_conf.yaml \
|
--config-file ./conf_files/dev_conf.yaml \
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--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR)
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--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR)
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||||||
|
|
13
README.md
13
README.md
|
@ -37,6 +37,7 @@ $ make python-env
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$ make python-env-install
|
$ make python-env-install
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|
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# run the code
|
# run the code
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# beforehand, set the data files in Makefile
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$ make fill-database
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$ make fill-database
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```
|
```
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|
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@ -46,11 +47,17 @@ If all goes well, we should be able to inspect the database, filled with corpora
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### Flask backend (1 container)
|
### Flask backend (1 container)
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Relies heavily on the database. Set that up first.
|
Relies heavily on the database. Set that up first.
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```bash
|
```bash
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|
# spin up container
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$ make python-env
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$ make python-env
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|
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# development:
|
# install our packages
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$ make backend-dev-init # run the first time, to prepare the db, then kill
|
$ make python-env-install
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$ make backend-dev # debug with this one
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|
# needs to be ran once to modify a new database
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|
$ make backend-prepare-db
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|
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|
# with debugger
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|
$ make backend-dev
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||||||
|
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||||||
# production
|
# production
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$ make backend-prod
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$ make backend-prod
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||||||
|
|
|
@ -1 +0,0 @@
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||||||
/home/kristjan/kres_srl/final_json/
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|
|
@ -1 +0,0 @@
|
||||||
/home/voje/work_data/final_json
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|
|
@ -1 +0,0 @@
|
||||||
/home/kristjan/kres_srl/final_json/
|
|
Binary file not shown.
|
@ -235,28 +235,6 @@ def api_token():
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||||||
|
|
||||||
# FRAMES ----------------------------.
|
# FRAMES ----------------------------.
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|
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def prepare_frames(ret_frames):
|
|
||||||
# append sentences
|
|
||||||
for frame in ret_frames:
|
|
||||||
unique_sids = {".".join(x.split(".")[:-1]): x for x in frame.tids}
|
|
||||||
# frame.sentences = []
|
|
||||||
frame.aggr_sent = {}
|
|
||||||
# sid, tid==hw
|
|
||||||
for sid, tid in unique_sids.items():
|
|
||||||
# hwl = vallex.get_token(tid)["lemma"]
|
|
||||||
hwl = frame.hw
|
|
||||||
tmp_idx = len(frame.sentences)
|
|
||||||
if hwl not in frame.aggr_sent:
|
|
||||||
frame.aggr_sent[hwl] = []
|
|
||||||
frame.aggr_sent[hwl].append(tmp_idx)
|
|
||||||
# return (n-frames, rendered template)
|
|
||||||
# json frames
|
|
||||||
json_ret = {"frames": []}
|
|
||||||
for frame in ret_frames:
|
|
||||||
json_ret["frames"].append(DC(frame.to_json()))
|
|
||||||
return json.dumps(json_ret)
|
|
||||||
|
|
||||||
|
|
||||||
# input: hw, reduct_function
|
# input: hw, reduct_function
|
||||||
@app.route("/api/frames")
|
@app.route("/api/frames")
|
||||||
def api_get_frames():
|
def api_get_frames():
|
||||||
|
@ -280,8 +258,34 @@ def api_get_frames():
|
||||||
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, valdb[SENSEMAP_COLL])
|
||||||
return prepare_frames(ret_frames)
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|
||||||
|
|
||||||
|
json_ret = {"frames": []}
|
||||||
|
for frame in ret_frames:
|
||||||
|
json_ret["frames"].append(frame.to_json())
|
||||||
|
return json.dumps(json_ret)
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||||||
|
# return prepare_frames(ret_frames)
|
||||||
|
|
||||||
|
def _aggregate_by_hw(ret_frames):
|
||||||
|
|
||||||
|
def _tid_to_lemma(tid, sentence):
|
||||||
|
# slow and hackish
|
||||||
|
for pair in sentence:
|
||||||
|
if pair[0] == tid:
|
||||||
|
return pair[1]["lemma"]
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||||||
|
return None
|
||||||
|
|
||||||
|
# append sentences
|
||||||
|
for frame in ret_frames:
|
||||||
|
# unique_sids = {".".join(x.split(".")[:-1]): x for x in frame.tids}
|
||||||
|
frame.aggr_sent = {} # map of headword: [sentence indexes]
|
||||||
|
# sid, tid==hw
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||||||
|
for i, tid in enumerate(frame.tids):
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||||||
|
# hwl = vallex.get_token(tid)["lemma"]
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||||||
|
hwl = _tid_to_lemma(tid, frame.sentences[i])
|
||||||
|
if hwl not in frame.aggr_sent:
|
||||||
|
frame.aggr_sent[hwl] = []
|
||||||
|
frame.aggr_sent[hwl].append(i)
|
||||||
|
return ret_frames
|
||||||
|
|
||||||
# input: functor, reduce_function
|
# input: functor, reduce_function
|
||||||
@app.route("/api/functor-frames")
|
@app.route("/api/functor-frames")
|
||||||
|
@ -302,12 +306,17 @@ def api_get_functor_frames():
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||||||
for ent in cur:
|
for ent in cur:
|
||||||
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
|
||||||
|
|
||||||
for f in frames:
|
# filter by relevant functor
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||||||
print(f.to_json())
|
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, valdb[SENSEMAP_COLL])
|
||||||
return prepare_frames(ret_frames)
|
ret_frames = _aggregate_by_hw(ret_frames)
|
||||||
|
|
||||||
|
json_ret = {"frames": []}
|
||||||
|
for frame in ret_frames:
|
||||||
|
json_ret["frames"].append(DC(frame.to_json()))
|
||||||
|
return json.dumps(json_ret)
|
||||||
|
|
||||||
# FRAMES ----------------------------^
|
# FRAMES ----------------------------^
|
||||||
|
|
||||||
|
@ -422,33 +431,8 @@ def api_senses_update():
|
||||||
|
|
||||||
# APP PREFLIGHT ---------------------.
|
# APP PREFLIGHT ---------------------.
|
||||||
|
|
||||||
def prepare_db():
|
def prepare_app_index():
|
||||||
def helper_tid_to_token(tid, tokens):
|
log.info("[*] preparing app_index")
|
||||||
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)
|
# 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 CORPORA}
|
||||||
for corpus in CORPORA:
|
for corpus in CORPORA:
|
||||||
|
@ -495,6 +479,7 @@ 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")
|
||||||
aparser.add_argument("--config-file", type=str, help="check ./conf_files/")
|
aparser.add_argument("--config-file", type=str, help="check ./conf_files/")
|
||||||
|
aparser.add_argument('--prepare-db', action="store_true", default=False)
|
||||||
aparser.add_argument("--dbuser", type=str)
|
aparser.add_argument("--dbuser", type=str)
|
||||||
aparser.add_argument("--dbpass", type=str)
|
aparser.add_argument("--dbpass", type=str)
|
||||||
aparser.add_argument("--dbaddr", type=str)
|
aparser.add_argument("--dbaddr", type=str)
|
||||||
|
@ -521,8 +506,9 @@ if __name__ == "__main__":
|
||||||
)
|
)
|
||||||
valdb = client.valdb
|
valdb = client.valdb
|
||||||
|
|
||||||
if bool(config["prepare_db"]):
|
if args.prepare_db:
|
||||||
prepare_db()
|
prepare_app_index()
|
||||||
|
sys.exit()
|
||||||
|
|
||||||
# app index from db
|
# app index from db
|
||||||
app_index = (valdb.appindex.find_one({"dockey": "appindex"}))["data"]
|
app_index = (valdb.appindex.find_one({"dockey": "appindex"}))["data"]
|
||||||
|
|
|
@ -3,5 +3,4 @@ debug: True
|
||||||
port: 5004
|
port: 5004
|
||||||
host: localhost
|
host: localhost
|
||||||
logfile: "/var/log/valency_backend.log"
|
logfile: "/var/log/valency_backend.log"
|
||||||
prepare_db: False
|
|
||||||
---
|
---
|
||||||
|
|
|
@ -1,7 +0,0 @@
|
||||||
---
|
|
||||||
debug: True
|
|
||||||
port: 5004
|
|
||||||
host: localhost
|
|
||||||
logfile: "/var/log/valency_backend.log"
|
|
||||||
prepare_db: True
|
|
||||||
---
|
|
70
src/backend_flask/preprocess.py
Normal file
70
src/backend_flask/preprocess.py
Normal file
|
@ -0,0 +1,70 @@
|
||||||
|
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)
|
|
@ -169,7 +169,7 @@ export default {
|
||||||
}
|
}
|
||||||
this.sentences = {}
|
this.sentences = {}
|
||||||
for (var fi in this.frames) {
|
for (var fi in this.frames) {
|
||||||
console.log(this.frames[fi].sentences)
|
// console.log(this.frames[fi].sentences)
|
||||||
for (var si in this.frames[fi].sentences) {
|
for (var si in this.frames[fi].sentences) {
|
||||||
var sentence = this.frames[fi].sentences[si]
|
var sentence = this.frames[fi].sentences[si]
|
||||||
// get ssj_id without .t123
|
// get ssj_id without .t123
|
||||||
|
|
|
@ -1 +1 @@
|
||||||
Subproject commit 2b7339ac5abb52958f7875a3e0a0eb1899728730
|
Subproject commit f0b0abac1bd32ad6e9e29e7b737e4162e28568c2
|
|
@ -50,6 +50,10 @@ class Frame():
|
||||||
self.sentences = sentences
|
self.sentences = sentences
|
||||||
self.aggr_sent = None # Dictionary { hw: self.sentences idx }
|
self.aggr_sent = None # Dictionary { hw: self.sentences idx }
|
||||||
|
|
||||||
|
def get_functors(self):
|
||||||
|
return [slot.functor for slot in self.slots]
|
||||||
|
|
||||||
|
|
||||||
def to_json(self):
|
def to_json(self):
|
||||||
ret = {
|
ret = {
|
||||||
"hw": self.hw,
|
"hw": self.hw,
|
||||||
|
|
Loading…
Reference in New Issue
Block a user