fix quick_start_agent

quick_deploy_agent.py

@@ -1,4 +1,3 @@
-# quickstart_agent.py
 from __future__ import annotations
 import json, re, unicodedata, ast
 from typing import List, Dict, Any, Optional
@@ -39,7 +38,7 @@ def ean_check_digit_ok(ean: str) -> bool:
 class ValidateEANTool(Tool):
     name, description = "validate_ean", "Valide un EAN/GTIN (clé GS1)."
     inputs = {"ean": {"type": "string", "description": "Code EAN/GTIN (8/12/13/14 chiffres)."}}
-    output_type = "dict"  # <— (facultatif)
+    output_type = "dict"
 
     def forward(self, ean: str):
         import re
@@ -52,8 +51,6 @@ class ValidateEANTool(Tool):
         check = (10 - (total % 10)) % 10
         return {"valid": check == int(digits[-1]), "normalized": digits}
 
-# ---- OFFtoCOICOP : accepte off_payload (JSON brut) OU champs séparés ----
-
 # ---- OFFByEAN : robuste + sortie normalisée + step3_inputs ----
 class OFFByEAN(Tool):
     name = "openfoodfacts_product_by_ean"
@@ -139,8 +136,6 @@ class OFFByEAN(Tool):
 
         return {"ok": False, "status": 0, "code": code, "error": last_err or "not found"}
 
-
-
 # ---- RegexCOICOP : normalisation locale + regex précompilées ----
 class RegexCOICOP(Tool):
     name, description = "coicop_regex_rules", "Règles regex → candidats COICOP."
@@ -172,7 +167,6 @@ class RegexCOICOP(Tool):
         if not c and re.search(r"\bFROMAGE\b", s): c.append({"code":"01.1.4.5","why":"générique fromage/laits caillés","score":0.6})
         return {"candidates": c}
 
-
 # ---- OFFtoCOICOP : normalisation locale + regex règles ----
 class OFFtoCOICOP(Tool):
     name, description = "map_off_to_coicop", "Mappe catégories OFF vers COICOP (off_payload ou champs séparés)."
@@ -230,7 +224,6 @@ class OFFtoCOICOP(Tool):
 
         return {"candidates": c}
 
-
 # ---- SemSim : COICOP embarqué + import lazy du modèle ----
 class SemSim(Tool):
     name, description = "coicop_semantic_similarity", "Embeddings → top-k COICOP."
@@ -275,7 +268,6 @@ class SemSim(Tool):
         )
         return {"candidates": ranked[:max(1,int(topk))]}
 
-
 # ---- Resolve : import local json ----
 class Resolve(Tool):
     name, description = "resolve_coicop_candidates", "Fusionne candidats → choix final + alternatives + explication."
@@ -284,7 +276,6 @@ class Resolve(Tool):
     output_type = "dict"
 
     def forward(self, json_lists, topn: int = 3):
-        # accepter listes de strings JSON OU de dicts
         import json
         from typing import Dict, Any
         bucket: Dict[str, Dict[str, Any]] = {}
@@ -311,8 +302,6 @@ class Resolve(Tool):
         exp = f"Choix {final['code']} (score {final['score_final']:.2f}) – votes={final['votes']} – raisons: {', '.join(sorted(set(final['evidences'])))}"
         return {"final": final, "alternatives": alts, "explanation": exp}
 
-
-
 def build_agent(model_id: str | None = None) -> CodeAgent:
     model_id = model_id or "Qwen/Qwen2.5-Coder-7B-Instruct"  # léger pour tester
     agent = CodeAgent(
@@ -349,4 +338,4 @@ if __name__ == "__main__":
     Attend un JSON final.
     """
     out = agent.run(task)
-    print(parse_result(out))
+    print(parse_result(out))