perf+calitate sugestii k-NN: matvec numpy, vot top-5 cu prag calibrat, indicatori import

- embeddings: corpus ca matrice numpy cu norme precalculate; suggest_nearest
  = un matvec (~0.6ms/query fata de ~500ms cosine pur-Python la 17k vectori)
- enrich_suggestions: vot ponderat cu similaritatea pe top-5 vecini (NUL =
  eticheta proprie); prag 0.5 -> 0.88, calibrat LOO pe corpusul SILVER
  (tools/mapare-llm/knn_calibrate.py): precizie 90.5% -> 93.1%, cod gresit
  preselectat 7.2% -> 4.7%; sub prag abtinere -> preselectie fuzzy
- UI: codul sugerat de sistem afisat explicit cu sursa si scorul, separat de
  lista fuzzy ("potrivire text"); indicator de progres reparat pe upload
  (display:inline anula .htmx-indicator) si adaugat pe pasii 2->3 si
  "Salveaza maparile"

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Claude Agent
2026-07-07 10:10:58 +00:00
parent 65b6e4694d
commit 809823a8ae
13 changed files with 358 additions and 24 deletions

View File

@@ -62,10 +62,17 @@
{% else %}
<span class="sugg-sursa sugg-sursa--similar" title="operatie similara deja vazuta (k-NN/exact)">similar</span>
{% endif %}
{# Codul sugerat de sistem, explicit (nu doar preselectat in dropdown);
pentru k-NN si scorul de similaritate. #}
<strong>{{ e.sugestie_principala.cod_prestatie }}</strong>
{%- if e.sugestie_principala.sursa == 'embedding' and e.surse_sugestie.embedding_similaritate %}
({{ (e.surse_sugestie.embedding_similaritate * 100)|round|int }}%)
{%- endif %}
{% elif e.surse_sugestie and e.surse_sugestie.nul %}
<span class="sugg-sursa sugg-sursa--nul" title="pare non-operatie (ITP/plata/discount...)">non-operatie</span>
{% endif %}
{% if e.suggestions %}
{% if e.sugestie_principala or (e.surse_sugestie and e.surse_sugestie.nul) %}<span class="muted">· potrivire text:</span>{% endif %}
{% for s in e.suggestions[:3] %}
<span class="sugg">{{ s.cod_prestatie }} ({{ s.score|round|int }}%)</span>{% if not loop.last %}, {% endif %}
{% endfor %}