fixed a few bugs; todo: senses

Makefile

@@ -75,8 +75,10 @@ frontend-prod:
 
 
 ## Backend
-backend-env: python-env-install
+backend-dev-init: python-env-install
-
+	cd ./src/backend_flask; python3 app.py \
+		--config-file ./conf_files/dev_conf_init.yaml \
+		--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR)
 
 backend-dev: python-env-install
 	cd ./src/backend_flask; python3 app.py \

README.md

@@ -48,7 +48,11 @@ Relies heavily on the database. Set that up first.
 ```bash
 $ make python-env
 
-# $ make backend-dev  # development
+# development:
+$ make backend-dev-init  # run the first time, to prepare the db, then kill
+$ make backend-dev  # debug with this one
+
+# production
 $ make backend-prod
 ```
 

src/backend_flask/app.py

@@ -37,7 +37,7 @@ SENSEMAP_COLL = "sensemap"
 
 # pre-generated data (gui leftside word index)
 CORPORA = ["ssj", "kres"]
-app_index = {c: {} for c in CORPORA}
+app_index = None
 
 log = logging.getLogger(__name__)
 valdb = None
@@ -239,7 +239,6 @@ def prepare_frames(ret_frames):
     # append sentences
     for frame in ret_frames:
         unique_sids = {".".join(x.split(".")[:-1]): x for x in frame.tids}
-        log.debug(str(unique_sids))
         # frame.sentences = []
         frame.aggr_sent = {}
         # sid, tid==hw
@@ -268,8 +267,13 @@ def api_get_frames():
     rf_name = request.args.get("rf", "reduce_0")  # 2nd is default
     RF = reduce_functions[rf_name]["f"]
 
+    corpus = request.args.get("cor")
+    if corpus not in CORPORA:
+        return json.dumps({"error": "cor={kres,ssj}"})
+
     # entry = vallex.entries[hw]  # TODO  hw -> [Frame,]
-    cur = valdb.kres.find({"headwords": hw})
+    cur = valdb[corpus].find({"headwords": hw})
+    print("N_results: " + str(cur.count()))
     frames = []
     for ent in cur:
         # TODO: maybe filter by hw?
@@ -277,11 +281,7 @@ def api_get_frames():
 
     # return json.dumps([x.to_json() for x in frames])
 
-    print("A")
-    print(frames[0].to_json())
     ret_frames = RF(frames, None)
-    print("B")
-    print(ret_frames[0].to_json())
     return prepare_frames(ret_frames)
 
 
@@ -438,6 +438,7 @@ def prepare_db():
         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 = {}
@@ -467,11 +468,13 @@ def prepare_db():
 
         for k, e in alphabetical.items():
             alphabetical[k] = sorted(e, key=lambda x: x[0]) 
-        app_index[corpus]["words"] = alphabetical
+        tmp_app_index[corpus]["words"] = alphabetical
 
         functors = [(k, e) for (k, e) in res_fns.items()]
         functors = sorted(functors, key=lambda x: x[0])
-        app_index[corpus]["functors"] = functors
+        tmp_app_index[corpus]["functors"] = functors
+
+    valdb.appindex.update({"dockey": "appindex"}, {"dockey": "appindex", "data": tmp_app_index}, upsert=True)
 
 # APP PREFLIGHT ---------------------^
 
@@ -506,9 +509,12 @@ if __name__ == "__main__":
     )
     valdb = client.valdb
 
-    if config["prepare_db"]:
+    if bool(config["prepare_db"]):
         prepare_db()
 
+    # app index from db
+    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))
 

src/backend_flask/conf_files/dev_conf.yaml

@@ -3,5 +3,5 @@ debug: True
 port: 5004
 host: localhost
 logfile: "/var/log/valency_backend.log"
-prepare_db: True
+prepare_db: False
 ---

src/backend_flask/conf_files/dev_conf_init.yaml

@@ -0,0 +1,7 @@
+---
+debug: True
+port: 5004
+host: localhost
+logfile: "/var/log/valency_backend.log"
+prepare_db: True
+---

src/frontend_vue/package-lock.json

@@ -116,7 +116,7 @@
     "argparse": {
       "version": "1.0.10",
       "resolved": "https://registry.npmjs.org/argparse/-/argparse-1.0.10.tgz",
-      "integrity": "sha1-vNZ5HqWuCXJeF+WtmIE0zUCz2RE=",
+      "integrity": "sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg==",
       "dev": true,
       "requires": {
         "sprintf-js": "~1.0.2"

src/frontend_vue/src/components/MainDispl.vue

@@ -121,7 +121,8 @@ export default {
             this.$http.get(
                 this.$root.store.api_addr + 
                 "/api/functor-frames" + 
-                "?functor=" + functor + "&rf=" + reduce_fun
+                "?functor=" + functor + "&rf=" + reduce_fun +
+                "&cor=" + component.$root.store.selCorpus
             )
                 .then(function (response) {
                     component.$root.store.api_error = null
@@ -150,7 +151,8 @@ export default {
             var component = this
             this.$http.get(
                 this.$root.store.api_addr + "/api/frames" + 
-                    "?hw=" + hw + "&rf=" + reduce_fun
+                    "?hw=" + hw + "&rf=" + reduce_fun +
+                    "&cor=" + component.$root.store.selCorpus
                 )
                 .then(function (response) {
                     component.$root.store.api_error = null
@@ -176,9 +178,11 @@ export default {
                     var words = []
                     var hw_idx = -1
                     var tmp_hw = this.hw
+                    /* Removes underscore for adjectives
                     if (tmp_hw[tmp_hw.length - 1] === "_") {
                         tmp_hw = tmp_hw.substr(0, tmp_hw.length - 1)
                     }
+                    */
                     for (var i in sentence) {
                         words.push(sentence[i][1].word)
                         if (sentence[i][1].lemma === tmp_hw && hw_idx == -1) {