feat(matching): Jev entity matching phases 2-5 (per-field fan-out, variants, candidate ambiguity buttons)
Phase 2 — jev.py client: POST /v1/systemone, PINNED model jev-1.13.0 (drift warning when the response model differs), one retry on 429/5xx, fail-soft (None on any error), usage/latency returned for observability. Config adds TYPESAFE_API_KEY / JEV_* (thresholds 0.85/0.60, 15 questions per field); no daily cap by owner decision. bot/.env is now mounted read-only into the container so the key never enters compose/git.
Phase 3 — matching.py: برونگروهی (one request per field, parallel), درونگروهی (one choice question per mention sharing the same full candidate list + «_none»), درونواریانسی (all STT spellings in one question). Routing: conf>=exact → bind; floor..exact → ambiguity; else/_none → new; missing/failed field → difflib fallback (bug fixed during testing: a failed request used to record 'new' instead of falling back). Resolver gains full cached lists for suppliers/materials (paged) plus brands (API+DB) and specs (EAV values + draft specs). NLU prompt now emits entity_mentions (6 fields) with the voice-variant grouping rule; sanitize_mentions guards the shape. handle_message runs matching only for register_quote/update_draft/add_material behind JEV_ENABLED; jev_map threads into quote/material resolve_payload (Jev hit skips difflib; exact writes ids; ambiguity skips difflib). Spec effect per owner: spelling normalization only (normalize_brand_spec).
Phase 4 — entity-match ambiguity sub-messages: create_ambiguities() builds deduped entries {kind: entity_match, field, variants, candidates, details with Persian percentages}; new keyboards.ambiguity_candidates_keyboard renders one button per candidate + «هیچکدام — ایجاد جدید»; callbacks handle amb⛏️{prefix}:{amb_id}:{idx} (applies the candidate via matching.apply_choice then re-resolves/renders) and amb:new (rejected → auto-create path at commit). Every user choice lands in observability (ambiguity.user_choice with arg+candidates).
Phase 5 — voice variants: NLU groups different STT spellings of one entity into one variants[] (verified live: مصطفوی/مستفدی → one supplier mention); tools/test_matching.py live section (RUN_LIVE=1) exercises real DeepSeek + real Jev without touching Bale.
Tests: test_jev.py 5/5 (mock HTTP: no-key, happy path, 429-retry, 400, exception), test_matching.py 11/11 mock + 3/3 live (real NLU produced 7 mentions with correct fields; real Jev matched «50 کیلویی»→«۵۰ کیلویی» 0.98 and «کیسه» 1.0 and correctly returned new against the emptied catalog); observability regression 8/8.
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@@ -67,8 +67,8 @@ class ErpClient:
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# ---------------------------------------------------------------- lookup
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async def list_suppliers(self, q: str | None = None, page_size: int = 20) -> list[dict]:
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params: dict = {"page_size": page_size}
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async def list_suppliers(self, q: str | None = None, page_size: int = 20, page: int = 1) -> list[dict]:
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params: dict = {"page_size": page_size, "page": page}
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if q:
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params["q"] = q
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return (await self._request("GET", "/suppliers", params=params)).get("data") or []
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@@ -76,8 +76,8 @@ class ErpClient:
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async def create_supplier(self, payload: dict, actor_id: str | None = None) -> dict:
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return (await self._request("POST", "/suppliers", json=payload, actor_id=actor_id)).get("data") or {}
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async def list_materials(self, q: str | None = None, page_size: int = 20) -> list[dict]:
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params: dict = {"page_size": page_size}
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async def list_materials(self, q: str | None = None, page_size: int = 20, page: int = 1) -> list[dict]:
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params: dict = {"page_size": page_size, "page": page}
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if q:
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params["q"] = q
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return (await self._request("GET", "/materials", params=params)).get("data") or []
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@@ -100,6 +100,9 @@ class ErpClient:
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async def list_categories(self, page_size: int = 100) -> list[dict]:
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return (await self._request("GET", "/material-categories", params={"page_size": page_size})).get("data") or []
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async def list_brands(self, page: int = 1, page_size: int = 100) -> list[dict]:
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return (await self._request("GET", "/brands", params={"page": page, "page_size": page_size})).get("data") or []
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# ---------------------------------------------------------------- quotes
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async def list_quotes(self, *, status: str | None = None, q: str | None = None,
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