added QUERY_LIMIT to app.py
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				| @ -40,6 +40,7 @@ CORPORA = ["ssj", "kres"] | ||||
| app_index = None | ||||
| sskj_wordlist = None  # used by _is_banned(hw) | ||||
| BANNED_HEADWORDS = ["biti"] | ||||
| QUERY_LIMIT = 1000  # Some headwords contain thousands of examples - not practical for the app | ||||
| 
 | ||||
| log = logging.getLogger(__name__) | ||||
| valdb = None | ||||
| @ -253,7 +254,7 @@ def api_get_frames(): | ||||
| 
 | ||||
|     cur = valdb[corpus].find({"headwords": hw}) | ||||
|     frames = [] | ||||
|     for ent in cur: | ||||
|     for ent in cur[:QUERY_LIMIT]: | ||||
|         frames += frames_from_db_entry(ent)  # pre-process this step for prod TODO | ||||
| 
 | ||||
|     # filter by relevant hw | ||||
| @ -305,7 +306,7 @@ def api_get_functor_frames(): | ||||
| 
 | ||||
|     cur = valdb[corpus].find({"functors": functor}) | ||||
|     frames = [] | ||||
|     for ent in cur: | ||||
|     for ent in cur[:QUERY_LIMIT]: | ||||
|         frames += frames_from_db_entry(ent)  # pre-process this step for prod TODO | ||||
| 
 | ||||
|     # filter by relevant functor | ||||
|  | ||||
| @ -6,7 +6,7 @@ | ||||
|         <div class="col-sm-7"> | ||||
|             <div class="row"> | ||||
|                 <div class="col-sm-12"> | ||||
|                     <span v-if="frameData.sentences.length <= frameData.sentence_count"> | ||||
|                     <span v-if="frameData.sentences.length < frameData.sentence_count"> | ||||
|                         št. povedi: {{ frameData.sentence_count }} (prikazanih {{ frameData.sentences.length }}) | ||||
|                     </span> | ||||
|                     <span v-else> | ||||
|  | ||||
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