From 69a9884db5763a26b8393fc540d6f13a51c89321 Mon Sep 17 00:00:00 2001
From: dmitriylaukhin <laukhin@dementiy.com>
Date: Sat, 27 Jun 2026 11:35:12 +0500
Subject: [PATCH] =?UTF-8?q?feat(ingest+=D0=BF=D0=BE=D0=B8=D1=81=D0=BA):=20?=
 =?UTF-8?q?=D0=BF=D1=80=D0=B8=D1=91=D0=BC=20ZIP=20=D1=87=D0=B5=D1=80=D0=B5?=
 =?UTF-8?q?=D0=B7=20=D0=B8=D0=BD=D1=82=D0=B5=D1=80=D1=84=D0=B5=D0=B9=D1=81?=
 =?UTF-8?q?,=20=D1=80=D0=B5=D0=B3=D0=B8=D1=81=D1=82=D1=80=D0=BE=D0=BD?=
 =?UTF-8?q?=D0=B5=D0=B7=D0=B0=D0=B2=D0=B8=D1=81=D0=B8=D0=BC=D1=8B=D0=B9=20?=
 =?UTF-8?q?=D0=BF=D0=BE=D0=B8=D1=81=D0=BA,=20=D1=87=D0=B8=D1=81=D1=82?=
 =?UTF-8?q?=D0=BA=D0=B0=20=D0=BE=D1=87=D0=B5=D1=80=D0=B5=D0=B4=D0=B8?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

- Загрузка архива (§4.1): POST /ingest распаковывает ZIP, дораспознаёт и
  догружает прайсы в базу (append). Виджет в админке. Кэш эмбеддингов справочника
  (dict_emb.npy) — догрузка считает только новый файл, эмбеддинги best-effort с
  откатом на fuzzy при сбое Gemini.
- Поиск по name_norm (lowercase): «УЗИ» и «узи» дают одинаковый результат —
  SQLite LIKE не сворачивает регистр для кириллицы.
- Фильтр названий: код-мнемоники («МОЗО.15») больше не попадают в очередь.
- /stats считается из базы — цифры на дашборде обновляются после загрузки.
- Деплой через Dockerfile (зависимости в образе, код монтируется томом).
- ruff: ядро и весь репозиторий проходят проверку.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---
 api/main.py                     |  161 +++-
 contracts/models.py             |    1 +
 etl/dictionary.py               |    7 +-
 etl/extractors/__init__.py      |    5 +-
 etl/extractors/common.py        |    8 +-
 etl/extractors/grid.py          |   27 +-
 etl/extractors/readers.py       |   10 +-
 etl/extractors/vision.py        |    1 +
 etl/normalize/__init__.py       |    1 +
 etl/normalize/embedding.py      |    5 +-
 etl/normalize/matcher.py        |   20 +-
 etl/pipeline.py                 |  172 +++-
 etl/validate/__init__.py        |    1 +
 etl/validate/rules.py           |   11 +-
 infra/deploy/Dockerfile         |   24 +
 infra/deploy/README.md          |   37 +-
 infra/deploy/docker-compose.yml |   10 +-
 pyproject.toml                  |    9 +
 scripts/gen_fixtures.py         |  483 ++++++++---
 scripts/proof/extract_all.py    |    9 +-
 scripts/proof/normalize_tune.py |    9 +-
 scripts/proof/phase0_proof.py   |   22 +-
 scripts/run_pipeline.py         |    5 +-
 uv.lock                         | 1319 +++++++++++++++++++++++++++++++
 web/index.html                  |   42 +
 25 files changed, 2217 insertions(+), 182 deletions(-)
 create mode 100644 infra/deploy/Dockerfile
 create mode 100644 uv.lock

diff --git a/api/main.py b/api/main.py
index a72e895..1405066 100644
--- a/api/main.py
+++ b/api/main.py
@@ -4,6 +4,7 @@
 задаётся переменной окружения MEDARCHIVE_DB. Ядро WOW — /services/{id}/partners:
 «кто оказывает услугу и по какой цене», отсортировано от выгодной.
 """
+
 from __future__ import annotations
 
 import json
@@ -13,13 +14,15 @@ import sqlite3
 import sys
 from pathlib import Path
 
-from fastapi import FastAPI, HTTPException, Query
+from fastapi import FastAPI, File, HTTPException, Query, UploadFile
 from fastapi.middleware.cors import CORSMiddleware
 
 sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
 from contracts.models import PartnerOut, PriceOut, ServiceOut, Stats  # noqa: E402
 
-DB_PATH = os.environ.get("MEDARCHIVE_DB", str(Path(__file__).resolve().parents[1] / "data/medarchive.db"))
+DB_PATH = os.environ.get(
+    "MEDARCHIVE_DB", str(Path(__file__).resolve().parents[1] / "data/medarchive.db")
+)
 
 app = FastAPI(
     title="MedArchive API",
@@ -28,9 +31,7 @@ app = FastAPI(
     # За Caddy сервис живёт на /api — без этого Swagger ищет спеку в корне и падает.
     root_path="/api",
 )
-app.add_middleware(
-    CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"]
-)
+app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"])
 
 
 def db() -> sqlite3.Connection:
@@ -68,16 +69,21 @@ def list_services(specialty: str | None = None, q: str | None = None, limit: int
         sql += " AND specialty = ?"
         args.append(specialty)
     if q:
-        sql += " AND name_ru LIKE ?"
-        args.append(f"%{q}%")
+        # Поиск по нормализованной колонке: SQLite LIKE сворачивает регистр только для
+        # латиницы, поэтому «УЗИ» и «узи» совпадут лишь при сравнении lowercase-форм.
+        sql += " AND name_norm LIKE ?"
+        args.append(f"%{_norm(q)}%")
     sql += " ORDER BY name_ru LIMIT ?"
     args.append(limit)
     with db() as conn:
         return [ServiceOut(**dict(r)) for r in conn.execute(sql, args)]
 
 
-@app.get("/services/{service_id}/partners", response_model=list[PriceOut],
-         summary="Кто оказывает услугу и по какой цене")
+@app.get(
+    "/services/{service_id}/partners",
+    response_model=list[PriceOut],
+    summary="Кто оказывает услугу и по какой цене",
+)
 def service_partners(service_id: str):
     """Одна строка на клинику с показательной ценой (резидент или минимальный тариф)."""
     sql = """SELECT pi.partner_id, p.name AS partner_name, pi.price_resident, pi.price_nonresident,
@@ -114,11 +120,17 @@ def list_partners(city: str | None = None):
         args.append(city)
     sql += " ORDER BY name"
     with db() as conn:
-        return [PartnerOut(partner_id=r["partner_id"], name=r["name"], city=r["city"]) for r in conn.execute(sql, args)]
+        return [
+            PartnerOut(partner_id=r["partner_id"], name=r["name"], city=r["city"])
+            for r in conn.execute(sql, args)
+        ]
 
 
-@app.get("/partners/{partner_id}/services", response_model=list[PriceOut],
-         summary="Все услуги партнёра с ценами")
+@app.get(
+    "/partners/{partner_id}/services",
+    response_model=list[PriceOut],
+    summary="Все услуги партнёра с ценами",
+)
 def partner_services(partner_id: str, limit: int = 500):
     sql = """SELECT pi.partner_id, p.name AS partner_name, pi.price_resident, pi.price_nonresident,
                     pi.prices, pi.effective_date
@@ -130,18 +142,22 @@ def partner_services(partner_id: str, limit: int = 500):
 
 @app.get("/search", summary="Полнотекстовый поиск по услугам и партнёрам")
 def search(q: str = Query(..., min_length=1), limit: int = 20):
+    # Сравниваем по name_norm (lowercase): иначе кириллический регистр («УЗИ» vs «узи»)
+    # не сворачивается и часть запросов даёт «ничего не найдено».
+    like = f"%{_norm(q)}%"
     with db() as conn:
         services = [
             dict(r)
             for r in conn.execute(
-                "SELECT service_id, specialty, name_ru FROM service WHERE name_ru LIKE ? LIMIT ?",
-                [f"%{q}%", limit],
+                "SELECT service_id, specialty, name_ru FROM service WHERE name_norm LIKE ? LIMIT ?",
+                [like, limit],
             )
         ]
         partners = [
             dict(r)
             for r in conn.execute(
-                "SELECT partner_id, name, city FROM partner WHERE name LIKE ? LIMIT ?", [f"%{q}%", limit]
+                "SELECT partner_id, name, city FROM partner WHERE name_norm LIKE ? LIMIT ?",
+                [like, limit],
             )
         ]
     return {"services": services, "partners": partners}
@@ -203,6 +219,102 @@ def skip_item(item_id: int):
     return {"item_id": item_id, "status": "skipped"}
 
 
+_SUPPORTED_EXT = (".pdf", ".xlsx", ".xls", ".docx")
+
+
+def _safe_member_name(member) -> str:
+    """Имя файла из ZIP: чинит кириллицу (cp866) и срезает путь (защита от traversal)."""
+    name = member.filename
+    if not (member.flag_bits & 0x800):  # нет UTF-8-флага — вероятно cp437/cp866 (рус. Windows)
+        try:
+            name = name.encode("cp437").decode("cp866")
+        except (UnicodeEncodeError, UnicodeDecodeError):
+            pass
+    return os.path.basename(name.replace("\\", "/"))
+
+
+@app.post("/ingest", summary="Загрузить ZIP-архив прайсов и обработать (догрузка в базу)")
+def ingest_archive(file: UploadFile = File(...)):
+    """Приём архива через интерфейс (ТЗ §4.1): распаковать ZIP и догрузить прайсы в базу.
+
+    Тяжёлые зависимости (конвейер, Gemini) импортируются лениво — read-only API живёт и
+    без них. Эмбеддинги — по возможности: при сбое Gemini обрабатываем без них (fuzzy),
+    архив всё равно принимается.
+    """
+    import shutil
+    import tempfile
+    import zipfile
+
+    name = (file.filename or "").lower()
+    if not name.endswith(".zip"):
+        raise HTTPException(400, "ожидается ZIP-архив (.zip)")
+
+    workdir = Path(tempfile.mkdtemp(prefix="medarchive_ingest_"))
+    try:
+        zip_path = workdir / "upload.zip"
+        with zip_path.open("wb") as out:
+            shutil.copyfileobj(file.file, out)
+        extract_dir = workdir / "files"
+        extract_dir.mkdir()
+
+        try:
+            with zipfile.ZipFile(zip_path) as zf:
+                members = [m for m in zf.infolist() if not m.is_dir()]
+                for member in members:
+                    fname = _safe_member_name(member)
+                    if not fname or not fname.lower().endswith(_SUPPORTED_EXT):
+                        continue
+                    with zf.open(member) as src, (extract_dir / fname).open("wb") as dst:
+                        shutil.copyfileobj(src, dst)
+        except zipfile.BadZipFile as exc:
+            raise HTTPException(400, "файл не является корректным ZIP-архивом") from exc
+
+        prices = [p for p in extract_dir.iterdir() if p.is_file()]
+        if not prices:
+            raise HTTPException(
+                422, "в архиве не найдено прайсов поддерживаемых форматов (pdf, xlsx, xls, docx)"
+            )
+
+        from etl.pipeline import ingest  # noqa: PLC0415 — ленивый импорт тяжёлых зависимостей
+
+        embedder = None
+        if os.environ.get("GEMINI_API_KEY"):
+            try:
+                from etl.normalize.embedding import GeminiEmbedder  # noqa: PLC0415
+
+                embedder = GeminiEmbedder()
+            except Exception:  # ключа/SDK нет — нормализуем без эмбеддингов
+                embedder = None
+
+        dict_path = str(Path(DB_PATH).parent / "reference/dictionary.xlsx")
+        kwargs = dict(data_dir=str(extract_dir), db_path=DB_PATH, dict_path=dict_path)
+        try:
+            summary = ingest(embedder=embedder, **kwargs)
+            degraded = False
+        except Exception:
+            # Сбой эмбеддингов (квота/сеть) не должен ронять приём архива — обрабатываем без них.
+            if embedder is None:
+                raise
+            summary = ingest(embedder=None, **kwargs)
+            degraded = True
+
+        return {
+            "status": "ok",
+            "files_accepted": len(prices),
+            "documents": summary["documents"],
+            "new_partners": summary["partners"],
+            "items": summary["items"],
+            "auto_matched": summary["auto_matched"],
+            "auto_matched_pct": summary["auto_matched_pct"],
+            "by_method": summary["by_method"],
+            "embeddings": not degraded and embedder is not None,
+        }
+    finally:
+        import shutil as _sh
+
+        _sh.rmtree(workdir, ignore_errors=True)
+
+
 @app.post("/match", summary="Ручное сопоставление позиции (с дообучением)")
 def manual_match(item_id: int, service_id: str):
     with db() as conn:
@@ -214,7 +326,8 @@ def manual_match(item_id: int, service_id: str):
         if not row:
             raise HTTPException(404, "позиция не найдена")
         conn.execute(
-            "UPDATE price_item SET service_id = ?, map_method = 'manual', map_confidence = 1.0 WHERE item_id = ?",
+            "UPDATE price_item SET service_id = ?, map_method = 'manual', map_confidence = 1.0 "
+            "WHERE item_id = ?",
             [service_id, item_id],
         )
         # Дообучение: запоминаем синоним — следующие прогоны сопоставят его автоматически.
@@ -228,6 +341,22 @@ def manual_match(item_id: int, service_id: str):
 
 @app.get("/stats", response_model=Stats, summary="Сводка качества обработки")
 def stats():
+    """Считается из базы — так после загрузки нового архива цифры обновляются сразу."""
+    with db() as conn:
+        docs = conn.execute("SELECT COUNT(*) FROM price_document").fetchone()[0]
+        items = conn.execute("SELECT COUNT(*) FROM price_item WHERE is_active = 1").fetchone()[0]
+        matched = conn.execute(
+            "SELECT COUNT(*) FROM price_item WHERE is_active = 1 AND service_id IS NOT NULL"
+        ).fetchone()[0]
+    if items:
+        return Stats(
+            documents_total=docs,
+            documents_done=docs,
+            items_total=items,
+            auto_matched_pct=round(100 * matched / items, 1),
+            unmatched_total=items - matched,
+        )
+    # Фолбэк на отчёт сборки, если база ещё пуста.
     report = Path(DB_PATH).parent / "quality_report.json"
     if report.exists():
         data = json.loads(report.read_text(encoding="utf-8"))
diff --git a/contracts/models.py b/contracts/models.py
index 2b3dc33..f048c25 100644
--- a/contracts/models.py
+++ b/contracts/models.py
@@ -4,6 +4,7 @@
 `MatchResult` — выход сопоставления (агент C). `*Out`-модели — выдача API (агент D),
 её же потребляет фронт (агент E). Любая правка этих типов проходит через оркестратора.
 """
+
 from __future__ import annotations
 
 from datetime import date
diff --git a/etl/dictionary.py b/etl/dictionary.py
index 5933ff2..ba32cbd 100644
--- a/etl/dictionary.py
+++ b/etl/dictionary.py
@@ -10,6 +10,7 @@
 отвечает только за загрузку и подготовку индексов; само сопоставление — в
 `etl/normalize`.
 """
+
 from __future__ import annotations
 
 import re
@@ -40,9 +41,9 @@ def normalize_name(text: str | None) -> str:
 class Service:
     """Одна запись эталонного справочника услуг."""
 
-    service_id: str          # стабильный идентификатор «<ID>-<Code>»
-    specialty: str           # специальность — служит и категорией, и сужением поиска
-    name_ru: str             # официальное название
+    service_id: str  # стабильный идентификатор «<ID>-<Code>»
+    specialty: str  # специальность — служит и категорией, и сужением поиска
+    name_ru: str  # официальное название
     tarificator_code: str | None  # код тарификатора (если задан)
     name_norm: str = field(default="")  # нормализованная форма name_ru
 
diff --git a/etl/extractors/__init__.py b/etl/extractors/__init__.py
index b0510f0..048d100 100644
--- a/etl/extractors/__init__.py
+++ b/etl/extractors/__init__.py
@@ -4,6 +4,7 @@
 PDF с битым текстовым слоем помечается как scan_pdf — его добирает путь через Vision.
 Любой сбой чтения логируется, но не роняет обработку остального архива.
 """
+
 from __future__ import annotations
 
 import os
@@ -26,7 +27,9 @@ def extract(path: str, use_vision: bool = True) -> ParsedDocument:
     """
     name = Path(path).name
     fmt = readers.detect_format(path)
-    doc = ParsedDocument(file_name=name, file_format=fmt, partner_name=readers.partner_from_name(name))
+    doc = ParsedDocument(
+        file_name=name, file_format=fmt, partner_name=readers.partner_from_name(name)
+    )
 
     year = readers.year_from_name(name)
     if year:
diff --git a/etl/extractors/common.py b/etl/extractors/common.py
index 4c490d6..7559275 100644
--- a/etl/extractors/common.py
+++ b/etl/extractors/common.py
@@ -6,6 +6,7 @@
 в числах, многотарифные колонки цен, строки-заголовки секций и шапку не в первой
 строке таблицы.
 """
+
 from __future__ import annotations
 
 import re
@@ -85,7 +86,12 @@ def is_real_name(text) -> bool:
     """
     s = clean(text)
     cyrillic = sum(1 for ch in s if "а" <= ch.lower() <= "я" or ch.lower() == "ё")
-    return cyrillic >= 3 and not looks_like_code(s)
+    if cyrillic < 3 or looks_like_code(s):
+        return False
+    # Код-мнемоника: цифры + только заглавные буквы + без пробела (напр. «МОЗО.15») — не услуга.
+    if any(c.isdigit() for c in s) and " " not in s and not any(c.islower() for c in s):
+        return False
+    return True
 
 
 def classify_price_tier(header_text) -> str | None:
diff --git a/etl/extractors/grid.py b/etl/extractors/grid.py
index 03f1e95..d657248 100644
--- a/etl/extractors/grid.py
+++ b/etl/extractors/grid.py
@@ -9,6 +9,7 @@
 - настоящая цена медуслуги — сотни и тысячи тенге, а не мелкое число;
 - название услуги — самая «кириллическая» колонка, код — цифро-точечная.
 """
+
 from __future__ import annotations
 
 import statistics
@@ -97,7 +98,11 @@ def _assign_columns(grid: Grid, header_idx: int):
 
     # --- колонка названия: явный заголовок, иначе самая кириллическая ---
     name_col = next(
-        (c for c in range(ncol) if c not in price_cols and any(k in header[c].lower() for k in _NAME_KEYS)),
+        (
+            c
+            for c in range(ncol)
+            if c not in price_cols and any(k in header[c].lower() for k in _NAME_KEYS)
+        ),
         None,
     )
     if name_col is None:
@@ -109,7 +114,9 @@ def _assign_columns(grid: Grid, header_idx: int):
         (
             c
             for c in range(ncol)
-            if c != name_col and c not in price_cols and any(k in header[c].lower() for k in _CODE_HEADER_KEYS)
+            if c != name_col
+            and c not in price_cols
+            and any(k in header[c].lower() for k in _CODE_HEADER_KEYS)
         ),
         None,
     )
@@ -123,7 +130,11 @@ def _assign_columns(grid: Grid, header_idx: int):
                 break
 
     unit_col = next(
-        (c for c in range(ncol) if c not in price_cols and any(k in header[c].lower() for k in _UNIT_KEYS)),
+        (
+            c
+            for c in range(ncol)
+            if c not in price_cols and any(k in header[c].lower() for k in _UNIT_KEYS)
+        ),
         None,
     )
     return name_col, code_col, unit_col, price_cols
@@ -165,10 +176,16 @@ def extract_rows_from_grid(grid: Grid) -> list[RawRow]:
             RawRow(
                 service_name_raw=name,
                 service_code_source=(
-                    r[code_col] if code_col is not None and code_col < len(r) and r[code_col] else None
+                    r[code_col]
+                    if code_col is not None and code_col < len(r) and r[code_col]
+                    else None
                 ),
                 prices=prices,
-                unit=(r[unit_col] if unit_col is not None and unit_col < len(r) and r[unit_col] else None),
+                unit=(
+                    r[unit_col]
+                    if unit_col is not None and unit_col < len(r) and r[unit_col]
+                    else None
+                ),
                 section=section,
             )
         )
diff --git a/etl/extractors/readers.py b/etl/extractors/readers.py
index 71fbdf8..ad34f6c 100644
--- a/etl/extractors/readers.py
+++ b/etl/extractors/readers.py
@@ -4,6 +4,7 @@
 многолистовых книг и многотабличных PDF. Сырой текст нужен для аудита и для
 детектора битого текстового слоя.
 """
+
 from __future__ import annotations
 
 import re
@@ -29,14 +30,19 @@ def partner_from_name(name: str) -> str:
 
 def detect_format(path: str) -> str:
     ext = Path(path).suffix.lower()
-    return {".xlsx": "xlsx", ".xls": "xls", ".docx": "docx", ".pdf": "pdf"}.get(ext, ext.lstrip("."))
+    return {".xlsx": "xlsx", ".xls": "xls", ".docx": "docx", ".pdf": "pdf"}.get(
+        ext, ext.lstrip(".")
+    )
 
 
 def docx_grids(path: str) -> tuple[list[Grid], str]:
     import docx
 
     document = docx.Document(path)
-    grids = [[[clean(cell.text) for cell in row.cells] for row in table.rows] for table in document.tables]
+    grids = [
+        [[clean(cell.text) for cell in row.cells] for row in table.rows]
+        for table in document.tables
+    ]
     text = "\n".join(p.text for p in document.paragraphs)
     return grids, text
 
diff --git a/etl/extractors/vision.py b/etl/extractors/vision.py
index 03b947e..bc2fe6f 100644
--- a/etl/extractors/vision.py
+++ b/etl/extractors/vision.py
@@ -5,6 +5,7 @@
 вернуть позиции прайса строго по JSON-схеме. Требует переменную окружения
 GEMINI_API_KEY; модель задаётся через GEMINI_MODEL (по умолчанию gemini-2.0-flash).
 """
+
 from __future__ import annotations
 
 import json
diff --git a/etl/normalize/__init__.py b/etl/normalize/__init__.py
index 18d7b23..0e1247f 100644
--- a/etl/normalize/__init__.py
+++ b/etl/normalize/__init__.py
@@ -1,4 +1,5 @@
 """Нормализация извлечённых позиций к справочнику услуг."""
+
 from etl.normalize.matcher import Matcher
 
 __all__ = ["Matcher"]
diff --git a/etl/normalize/embedding.py b/etl/normalize/embedding.py
index 8b1d5df..adcca25 100644
--- a/etl/normalize/embedding.py
+++ b/etl/normalize/embedding.py
@@ -4,6 +4,7 @@
 раздувается и не держит модель в RAM. Размерность 768 выбрана, чтобы вектор лез в
 HNSW-индекс pgvector. Требуется переменная окружения GEMINI_API_KEY.
 """
+
 from __future__ import annotations
 
 import os
@@ -54,7 +55,9 @@ class GeminiEmbedder:
             chunk = items[start : start + self.batch]
             for attempt in range(8):
                 try:
-                    response = self._client.models.embed_content(model=self.model, contents=chunk, config=config)
+                    response = self._client.models.embed_content(
+                        model=self.model, contents=chunk, config=config
+                    )
                     vectors.extend(embedding.values for embedding in response.embeddings)
                     break
                 except Exception as exc:  # пауза и повтор при превышении квоты (429)
diff --git a/etl/normalize/matcher.py b/etl/normalize/matcher.py
index d3b7fa6..d438e86 100644
--- a/etl/normalize/matcher.py
+++ b/etl/normalize/matcher.py
@@ -11,6 +11,7 @@
 клиник встречаются с лишним хвостом («A02.020.000.2»), поэтому сравниваем по
 канонической части кода тарификатора.
 """
+
 from __future__ import annotations
 
 import re
@@ -37,6 +38,7 @@ class Matcher:
         embedder=None,
         emb_threshold: float = 0.70,
         fuzzy_threshold: int = 88,
+        dict_emb=None,
     ):
         self.services = services
         self.by_code = {s.tarificator_code: s for s in services if s.tarificator_code}
@@ -47,8 +49,10 @@ class Matcher:
         self.emb_threshold = emb_threshold
         self.fuzzy_threshold = fuzzy_threshold
         self.embedder = embedder
-        self.dict_emb = None
-        if embedder is not None:
+        # Готовые эмбеддинги справочника (dict_emb) переиспользуются между прогонами:
+        # при догрузке нового прайса не нужно заново векторизовать тысячи услуг.
+        self.dict_emb = dict_emb
+        if embedder is not None and self.dict_emb is None:
             self.dict_emb = embedder.encode(
                 [s.name_ru for s in services],
                 normalize_embeddings=True,
@@ -65,7 +69,9 @@ class Matcher:
         best = process.extractOne(name_norm, self.names_norm, scorer=fuzz.token_set_ratio)
         if best and best[1] >= self.fuzzy_threshold:
             return MatchResult(
-                service_id=self.services[best[2]].service_id, method="fuzzy", confidence=best[1] / 100
+                service_id=self.services[best[2]].service_id,
+                method="fuzzy",
+                confidence=best[1] / 100,
             )
         return MatchResult()
 
@@ -78,12 +84,16 @@ class Matcher:
         for i, (name, code) in enumerate(zip(names, codes, strict=True)):
             service = self._match_by_code(code)
             if service:
-                results[i] = MatchResult(service_id=service.service_id, method="code", confidence=1.0)
+                results[i] = MatchResult(
+                    service_id=service.service_id, method="code", confidence=1.0
+                )
                 continue
             name_norm = normalize_name(name)
             exact = self.by_norm.get(name_norm)
             if exact:
-                results[i] = MatchResult(service_id=exact.service_id, method="exact", confidence=1.0)
+                results[i] = MatchResult(
+                    service_id=exact.service_id, method="exact", confidence=1.0
+                )
                 continue
             pending_idx.append(i)
             pending_norm.append(name_norm)
diff --git a/etl/pipeline.py b/etl/pipeline.py
index 357ed07..08e48ee 100644
--- a/etl/pipeline.py
+++ b/etl/pipeline.py
@@ -4,7 +4,11 @@
 PostgreSQL + pgvector лежит в db/migrations. Здесь же — дедупликация партнёров,
 версионирование цен (последний прайс активен, старые архивируются) и сбор отчёта о
 качестве для дашборда и сдачи.
+
+Два входа: `run()` собирает базу с нуля (полная пересборка), `ingest()` догружает
+новые прайсы в уже собранную базу (append) — на нём держится приём ZIP через интерфейс.
 """
+
 from __future__ import annotations
 
 import json
@@ -15,6 +19,8 @@ from collections import Counter
 from datetime import date
 from pathlib import Path
 
+import numpy as np
+
 sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
 
 from etl.dictionary import load_dictionary, normalize_name
@@ -46,33 +52,49 @@ CREATE INDEX IF NOT EXISTS price_item_service ON price_item(service_id);
 CREATE INDEX IF NOT EXISTS price_item_partner ON price_item(partner_id);
 """
 
+_INSERT_ITEM = """INSERT INTO price_item
+    (doc_id, partner_id, service_name_raw, service_code_source, service_id, prices,
+     price_resident, price_nonresident, unit, effective_date, map_method, map_confidence,
+     status, is_active, suggested_service_id, suggested_score)
+    VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,1,?,?)"""
+
+
+def _emb_path(db_path: str) -> Path:
+    """Путь к кэшу эмбеддингов справочника рядом с базой."""
+    return Path(db_path).parent / "dict_emb.npy"
+
 
 def _open(db_path: str) -> sqlite3.Connection:
     # Полная пересборка: удаляем файл, чтобы схема всегда создавалась свежей.
     Path(db_path).unlink(missing_ok=True)
     conn = sqlite3.connect(db_path)
+    conn.row_factory = sqlite3.Row
     conn.executescript(SCHEMA)
     return conn
 
 
-def run(data_dir: str, db_path: str, dict_path: str, embedder=None, use_vision: bool = False,
-        today: date | None = None) -> dict:
-    """Прогнать весь архив в SQLite и вернуть отчёт о качестве."""
-    today = today or date.today()
-    services = load_dictionary(dict_path)
-    matcher = Matcher(services, embedder=embedder)
-
-    conn = _open(db_path)
+def _load_services(conn, services) -> None:
+    """Залить справочник услуг, если таблица ещё пуста."""
+    if conn.execute("SELECT 1 FROM service LIMIT 1").fetchone():
+        return
     conn.executemany(
         "INSERT INTO service VALUES (?,?,?,?,?)",
         [(s.service_id, s.specialty, s.name_ru, s.name_norm, s.tarificator_code) for s in services],
     )
 
-    partners: dict[str, str] = {}
-    staged: list[tuple] = []  # (doc_id, partner_id, raw, code, prices, unit, eff_iso)
+
+def _process_documents(conn, data_dir, matcher, partners, today, use_vision) -> Counter:
+    """Извлечь файлы из каталога, сопоставить со справочником и записать позиции.
+
+    Мутирует `conn` и словарь `partners` (норм. имя → partner_id, чтобы один и тот же
+    партнёр из разных файлов не задвоился). Возвращает счётчик для отчёта о качестве.
+    """
     report: Counter = Counter()
+    staged: list[tuple] = []  # (doc_id, partner_id, raw, code, prices, unit, eff_iso)
 
     for path in sorted(Path(data_dir).glob("*")):
+        if path.is_dir():
+            continue
         doc = extract(str(path), use_vision=use_vision)
         partner_name = doc.partner_name or path.stem
         partner_norm = normalize_name(partner_name)
@@ -80,7 +102,11 @@ def run(data_dir: str, db_path: str, dict_path: str, embedder=None, use_vision:
         if partner_id is None:
             partner_id = str(uuid.uuid4())
             partners[partner_norm] = partner_id
-            conn.execute("INSERT INTO partner VALUES (?,?,?,?)", (partner_id, partner_name, partner_norm, None))
+            conn.execute(
+                "INSERT INTO partner VALUES (?,?,?,?)",
+                (partner_id, partner_name, partner_norm, None),
+            )
+            report["new_partners"] += 1
 
         doc_id = str(uuid.uuid4())
         eff_iso = doc.effective_date.isoformat() if doc.effective_date else None
@@ -90,31 +116,53 @@ def run(data_dir: str, db_path: str, dict_path: str, embedder=None, use_vision:
         )
         report["documents"] += 1
         for row in doc.rows:
-            staged.append((doc_id, partner_id, row.service_name_raw, row.service_code_source,
-                           row.prices, row.unit, eff_iso))
+            staged.append(
+                (
+                    doc_id,
+                    partner_id,
+                    row.service_name_raw,
+                    row.service_code_source,
+                    row.prices,
+                    row.unit,
+                    eff_iso,
+                )
+            )
 
     # Нормализация одной пачкой (эмбеддинги считаются разом — быстрее и дешевле).
     matches = matcher.match_batch([s[2] for s in staged], [s[3] for s in staged])
-
-    for (doc_id, partner_id, raw, code, prices, unit, eff_iso), match in zip(staged, matches, strict=True):
+    for (doc_id, partner_id, raw, code, prices, unit, eff_iso), match in zip(
+        staged, matches, strict=True
+    ):
         status, _flags = validate_item(raw, prices, effective_date=None, today=today)
         if match.service_id:
             report["matched"] += 1
         report[f"method_{match.method}"] += 1
         conn.execute(
-            """INSERT INTO price_item
-               (doc_id, partner_id, service_name_raw, service_code_source, service_id, prices,
-                price_resident, price_nonresident, unit, effective_date, map_method, map_confidence,
-                status, is_active, suggested_service_id, suggested_score)
-               VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,1,?,?)""",
-            (doc_id, partner_id, raw, code, match.service_id, json.dumps(prices, ensure_ascii=False),
-             prices.get("resident"), prices.get("nonresident"), unit, eff_iso, match.method,
-             round(match.confidence, 3), status, match.suggested_service_id,
-             round(match.suggested_score, 3) if match.suggested_score else None),
+            _INSERT_ITEM,
+            (
+                doc_id,
+                partner_id,
+                raw,
+                code,
+                match.service_id,
+                json.dumps(prices, ensure_ascii=False),
+                prices.get("resident"),
+                prices.get("nonresident"),
+                unit,
+                eff_iso,
+                match.method,
+                round(match.confidence, 3),
+                status,
+                match.suggested_service_id,
+                round(match.suggested_score, 3) if match.suggested_score else None,
+            ),
         )
         report["items"] += 1
+    return report
 
-    # Версионирование: если у партнёра по той же услуге есть более свежий прайс — старые архивируем.
+
+def _apply_versioning(conn) -> None:
+    """У партнёра по той же услуге более свежий прайс вытесняет старые (is_active = 0)."""
     conn.execute(
         """UPDATE price_item SET is_active = 0
            WHERE effective_date IS NOT NULL AND EXISTS (
@@ -123,19 +171,85 @@ def run(data_dir: str, db_path: str, dict_path: str, embedder=None, use_vision:
                  AND b.service_name_raw = price_item.service_name_raw
                  AND b.effective_date > price_item.effective_date)"""
     )
-    conn.commit()
 
+
+def _summary(report: Counter) -> dict:
     total = report["items"]
-    summary = {
+    return {
         "documents": report["documents"],
-        "partners": len(partners),
+        "partners": report["new_partners"],
         "items": total,
         "auto_matched": report["matched"],
         "auto_matched_pct": round(100 * report["matched"] / total, 1) if total else 0.0,
         "unmatched": total - report["matched"],
         "by_method": {
-            method: report[f"method_{method}"] for method in ("code", "exact", "embedding", "fuzzy", None)
+            method: report[f"method_{method}"]
+            for method in ("code", "exact", "embedding", "fuzzy", None)
         },
     }
+
+
+def run(
+    data_dir: str,
+    db_path: str,
+    dict_path: str,
+    embedder=None,
+    use_vision: bool = False,
+    today: date | None = None,
+) -> dict:
+    """Собрать базу с нуля по всему архиву и вернуть отчёт о качестве."""
+    today = today or date.today()
+    services = load_dictionary(dict_path)
+    matcher = Matcher(services, embedder=embedder)
+    # Кэшируем эмбеддинги справочника: при последующих догрузках их не пересчитываем.
+    if matcher.dict_emb is not None:
+        np.save(_emb_path(db_path), matcher.dict_emb)
+
+    conn = _open(db_path)
+    _load_services(conn, services)
+    partners: dict[str, str] = {}
+    report = _process_documents(conn, data_dir, matcher, partners, today, use_vision)
+    _apply_versioning(conn)
+    conn.commit()
+    summary = _summary(report)
+    conn.close()
+    return summary
+
+
+def ingest(
+    data_dir: str,
+    db_path: str,
+    dict_path: str,
+    embedder=None,
+    use_vision: bool | None = None,
+    today: date | None = None,
+) -> dict:
+    """Догрузить новые прайсы из каталога в существующую базу (append, без пересборки).
+
+    На этом держится приём ZIP через интерфейс: справочник и его эмбеддинги уже готовы,
+    поэтому считается только новый файл. Партнёры дедуплицируются с уже загруженными,
+    версионирование вытесняет устаревшие прайсы той же клиники.
+    """
+    today = today or date.today()
+    services = load_dictionary(dict_path)
+    emb_path = _emb_path(db_path)
+    dict_emb = np.load(emb_path) if (embedder is not None and emb_path.exists()) else None
+    matcher = Matcher(services, embedder=embedder, dict_emb=dict_emb)
+    if use_vision is None:
+        use_vision = embedder is not None  # есть ключ Gemini — разрешаем распознавание сканов
+
+    conn = sqlite3.connect(db_path)
+    conn.row_factory = sqlite3.Row
+    conn.executescript(SCHEMA)
+    _load_services(conn, services)
+    # Уже загруженные партнёры — чтобы повторная выгрузка той же клиники не задвоила её.
+    partners = {
+        row["name_norm"]: row["partner_id"]
+        for row in conn.execute("SELECT partner_id, name_norm FROM partner")
+    }
+    report = _process_documents(conn, data_dir, matcher, partners, today, use_vision)
+    _apply_versioning(conn)
+    conn.commit()
+    summary = _summary(report)
     conn.close()
     return summary
diff --git a/etl/validate/__init__.py b/etl/validate/__init__.py
index 9de2c47..278161b 100644
--- a/etl/validate/__init__.py
+++ b/etl/validate/__init__.py
@@ -1,4 +1,5 @@
 """Валидация позиций прайса по правилам ТЗ §4.4."""
+
 from etl.validate.rules import Flag, to_kzt, validate_item
 
 __all__ = ["Flag", "to_kzt", "validate_item"]
diff --git a/etl/validate/rules.py b/etl/validate/rules.py
index da878b3..698111f 100644
--- a/etl/validate/rules.py
+++ b/etl/validate/rules.py
@@ -4,6 +4,7 @@
 ошибка → error, предупреждение → needs_review, иначе → done. Конвертация валют и
 сравнение с прошлой версией (детектор аномалий) тоже здесь.
 """
+
 from __future__ import annotations
 
 from dataclasses import dataclass
@@ -34,7 +35,9 @@ def validate_prices(prices: dict[str, float]) -> list[Flag]:
     flags: list[Flag] = []
     for tier, value in prices.items():
         if value is None or value <= 0:
-            flags.append(Flag("warning", "price_nonpositive", f"тариф «{tier}»: цена не положительна"))
+            flags.append(
+                Flag("warning", "price_nonpositive", f"тариф «{tier}»: цена не положительна")
+            )
     resident, nonresident = prices.get("resident"), prices.get("nonresident")
     if resident and nonresident and nonresident < resident:
         flags.append(
@@ -50,7 +53,11 @@ def validate_date(effective_date: date | None, today: date | None = None) -> lis
 
 
 def validate_anomaly(new_price: float | None, previous_price: float | None) -> list[Flag]:
-    if previous_price and new_price and abs(new_price - previous_price) / previous_price > ANOMALY_RATIO:
+    if (
+        previous_price
+        and new_price
+        and abs(new_price - previous_price) / previous_price > ANOMALY_RATIO
+    ):
         return [
             Flag(
                 "warning",
diff --git a/infra/deploy/Dockerfile b/infra/deploy/Dockerfile
new file mode 100644
index 0000000..a66383c
--- /dev/null
+++ b/infra/deploy/Dockerfile
@@ -0,0 +1,24 @@
+# Образ API MedArchive: зависимости ставятся один раз в слой образа, код проекта
+# монтируется томом (/root/medarchive:/app) — правки кода не требуют пересборки.
+# Тяжёлые зависимости (pdfplumber, pymupdf, google-genai) нужны для приёма ZIP через
+# интерфейс (/ingest): распаковка, распознавание и нормализация идут прямо на сервере.
+FROM python:3.12-slim
+
+WORKDIR /app
+
+# Зависимости рантайма. Версии — как в pyproject.toml.
+RUN pip install --no-cache-dir \
+    "fastapi>=0.115" \
+    "uvicorn[standard]>=0.32" \
+    "pydantic>=2.9" \
+    "python-multipart>=0.0.12" \
+    "openpyxl>=3.1" \
+    "xlrd>=2.0" \
+    "python-docx>=1.1" \
+    "pdfplumber>=0.11" \
+    "pymupdf>=1.24" \
+    "rapidfuzz>=3.10" \
+    "numpy>=2.0" \
+    "google-genai>=1.0"
+
+CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "8000"]
diff --git a/infra/deploy/README.md b/infra/deploy/README.md
index 948ab91..5894d92 100644
--- a/infra/deploy/README.md
+++ b/infra/deploy/README.md
@@ -1,19 +1,42 @@
 # Деплой MedArchive
 
-Лёгкая схема: контейнер API (FastAPI на готовой SQLite-базе) за общим Caddy на Selectel KZ.
-Рантайму не нужны ни Gemini, ни модель — эмбеддинги и Vision отработали на этапе сборки базы.
+Контейнер API (FastAPI) за общим Caddy на Selectel KZ. Read-only поиск работает на
+готовой SQLite-базе; приём ZIP через интерфейс (`/ingest`) дораспаковывает и нормализует
+новые прайсы прямо на сервере, поэтому в образ включены тяжёлые зависимости (pdfplumber,
+pymupdf, google-genai), а контейнеру нужен ключ Gemini.
+
+## Раскладка на сервере
+
+- `/root/medarchive/` — код и данные, монтируется в контейнер как `/app`:
+  - `api/`, `contracts/`, `etl/` — код (правки кода не требуют пересборки образа);
+  - `web/` — статический фронт (его же отдаёт Caddy);
+  - `data/medarchive.db` — собранная база, `data/quality_report.json` — отчёт сборки;
+  - `data/dict_emb.npy` — кэш эмбеддингов справочника (чтобы догрузка не пересчитывала его);
+  - `data/reference/dictionary.xlsx` — эталонный справочник услуг для нормализации.
+- `/root/med-hackathon/` — каталог Caddy: `docker-compose.yml`, `Dockerfile`, `Caddyfile`,
+  `site/` (презентации) и `.env` с `GEMINI_API_KEY` (в публичный репозиторий не попадает).
 
 ## Шаги
 
-1. Залить на сервер: код (`api/`, `contracts/`), фронт (`web/`), базу (`data/medarchive.db`) и
-   отчёт (`data/quality_report.json`) — в `/root/medarchive/`.
-2. Положить `docker-compose.yml` и `Caddyfile` из этой папки в каталог с Caddy.
-3. `docker compose up -d` — поднимется `medarchive-api` (ставит зависимости и запускает uvicorn).
-4. Маршруты Caddy: `/api/*` → контейнер API, `/` → фронт, `/demo` → презентация.
+1. Залить код и данные в `/root/medarchive/` (см. раскладку выше).
+2. Положить `docker-compose.yml`, `Dockerfile`, `Caddyfile` в `/root/med-hackathon/`.
+3. Создать `/root/med-hackathon/.env`:
+   ```
+   GEMINI_API_KEY=…
+   ```
+4. Собрать образ и поднять стек:
+   ```bash
+   cd /root/med-hackathon
+   docker compose build api
+   docker compose up -d
+   ```
+5. Маршруты Caddy: `/api/*` → контейнер API, `/` → фронт, `/demo` и `/day1` → презентации.
 
 ## Проверка
 
 ```bash
 curl https://med.secondbrain.tools/api/health
 curl https://med.secondbrain.tools/api/stats
+# приём архива через интерфейс:
+curl -X POST https://med.secondbrain.tools/api/ingest -F "file=@archive.zip"
 ```
diff --git a/infra/deploy/docker-compose.yml b/infra/deploy/docker-compose.yml
index 01df1ba..fb5fab1 100644
--- a/infra/deploy/docker-compose.yml
+++ b/infra/deploy/docker-compose.yml
@@ -14,7 +14,10 @@ services:
       - caddy_config:/config
 
   api:
-    image: python:3.12-slim
+    build:
+      context: .
+      dockerfile: Dockerfile
+    image: medarchive-api:latest
     container_name: medarchive-api
     restart: unless-stopped
     working_dir: /app
@@ -22,7 +25,10 @@ services:
       - /root/medarchive:/app
     environment:
       MEDARCHIVE_DB: /app/data/medarchive.db
-    command: sh -c "pip install --quiet --no-cache-dir fastapi 'uvicorn[standard]' pydantic && uvicorn api.main:app --host 0.0.0.0 --port 8000"
+      # Ключ Gemini для распознавания и эмбеддингов при загрузке архива (/ingest).
+      # Значение — из .env рядом с этим файлом (в публичный репозиторий не попадает).
+      GEMINI_API_KEY: ${GEMINI_API_KEY:-}
+    command: ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "8000"]
 
 volumes:
   caddy_data:
diff --git a/pyproject.toml b/pyproject.toml
index 6485f12..ff5ffd2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -25,3 +25,12 @@ target-version = "py312"
 
 [tool.ruff.lint]
 select = ["E", "F", "I", "UP", "B"]   # стиль, ошибки, импорты, апгрейды, баги
+
+[tool.ruff.lint.flake8-bugbear]
+# Вызовы-маркеры FastAPI в значениях по умолчанию — идиома фреймворка, не баг B008.
+extend-immutable-calls = ["fastapi.File", "fastapi.Query", "fastapi.Depends"]
+
+[tool.ruff.lint.per-file-ignores]
+# Разведочные скрипты этапа разбора форматов — черновики, не часть продукта.
+"scripts/proof/*" = ["E402", "E501", "E741", "B007"]
+"scripts/gen_fixtures.py" = ["E402", "E501", "E741"]
diff --git a/scripts/gen_fixtures.py b/scripts/gen_fixtures.py
index 86e32bb..d8bf684 100644
--- a/scripts/gen_fixtures.py
+++ b/scripts/gen_fixtures.py
@@ -1,5 +1,4 @@
 #!/usr/bin/env python3
-# -*- coding: utf-8 -*-
 """Генератор синтетических прайсов клиник (RU/KZ/EN) + эталонная нормализация + справочник канонов.
 
 Выдаёт:
@@ -8,7 +7,13 @@
   contracts/service_canon.json    — справочник канонических услуг (seed для нормализации)
 Детерминированно (seed=42).
 """
-import csv, json, os, random, subprocess, sys
+
+import csv
+import json
+import os
+import random
+import subprocess
+import sys
 
 ROOT = sys.argv[1] if len(sys.argv) > 1 else "."
 RAW = os.path.join(ROOT, "fixtures/raw")
@@ -18,145 +23,433 @@ for d in (RAW, NORM, CONTRACTS):
     os.makedirs(d, exist_ok=True)
 random.seed(42)
 
+
 def ensure(pkg, mod=None):
-    try: __import__(mod or pkg)
-    except ImportError: subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", pkg])
+    try:
+        __import__(mod or pkg)
+    except ImportError:
+        subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", pkg])
+
 
 # Справочник канонических медуслуг. lang-тегированные синонимы — материал для нормализации.
 CANONS = [
-    {"id":"cbc","ru":"Общий анализ крови","kz":"Қанның жалпы анализі","en":"Complete blood count (CBC)",
-     "category":"Лаборатория","code":"B03.016.003","unit":"1 иссл.","price":(1200,4500),
-     "syn":[("ОАК","ru"),("Общий анализ крови (развернутый)","ru"),("Клинический анализ крови","ru"),("КАК","ru"),("CBC","en"),("Қанның жалпы талдауы","kz")]},
-    {"id":"uzi_abd","ru":"УЗИ органов брюшной полости","kz":"Құрсақ қуысы ағзаларының УДЗ","en":"Abdominal ultrasound",
-     "category":"Диагностика/УЗИ","code":"A04.16.001","unit":"1 иссл.","price":(6000,13000),
-     "syn":[("УЗИ ОБП","ru"),("УЗИ брюшной полости","ru"),("Ультразвуковое исследование брюшной полости","ru"),("Құрсақ қуысы УДЗ","kz"),("Abdominal US","en")]},
-    {"id":"therapist","ru":"Приём врача-терапевта","kz":"Терапевт дәрігердің қабылдауы","en":"General practitioner consultation",
-     "category":"Приём специалистов","code":"B01.047.001","unit":"1 приём","price":(4000,9000),
-     "syn":[("Прием терапевта","ru"),("Консультация терапевта первичная","ru"),("Терапевт қабылдауы","kz"),("GP visit","en")]},
-    {"id":"ecg","ru":"Электрокардиография (ЭКГ)","kz":"Электрокардиография (ЭКГ)","en":"Electrocardiography (ECG)",
-     "category":"Диагностика","code":"A05.10.006","unit":"1 иссл.","price":(2000,5000),
-     "syn":[("ЭКГ","ru"),("ЭКГ с расшифровкой","ru"),("Электрокардиография","ru"),("ECG","en"),("ЭКГ + описание","ru")]},
-    {"id":"glucose","ru":"Глюкоза крови","kz":"Қандағы глюкоза","en":"Blood glucose",
-     "category":"Лаборатория","code":"B03.016.006","unit":"1 иссл.","price":(800,2200),
-     "syn":[("Глюкоза","ru"),("Сахар крови","ru"),("Қандағы глюкоза","kz"),("Glucose","en")]},
-    {"id":"cardiologist","ru":"Консультация кардиолога","kz":"Кардиолог кеңесі","en":"Cardiologist consultation",
-     "category":"Приём специалистов","code":"B01.015.001","unit":"1 приём","price":(5000,12000),
-     "syn":[("Прием кардиолога","ru"),("Кардиолог консультация первичная","ru"),("Кардиолог қабылдауы","kz")]},
-    {"id":"mri_brain","ru":"МРТ головного мозга","kz":"Бас миының МРТ","en":"Brain MRI",
-     "category":"Диагностика/МРТ","code":"A05.23.009","unit":"1 иссл.","price":(18000,35000),
-     "syn":[("МРТ г/м","ru"),("Магнитно-резонансная томография головного мозга","ru"),("Бас миы МРТ","kz"),("Brain MRI","en")]},
-    {"id":"biochem","ru":"Биохимический анализ крови","kz":"Қанның биохимиялық анализі","en":"Blood chemistry panel",
-     "category":"Лаборатория","code":"B03.016.004","unit":"1 иссл.","price":(3500,9000),
-     "syn":[("Биохимия крови","ru"),("Б/х крови","ru"),("Биохимический анализ крови (базовый)","ru"),("Қан биохимиясы","kz")]},
-    {"id":"tooth_ext","ru":"Удаление зуба","kz":"Тісті жұлу","en":"Tooth extraction",
-     "category":"Стоматология","code":"A16.07.001","unit":"1 зуб","price":(6000,15000),
-     "syn":[("Удаление зуба простое","ru"),("Экстракция зуба","ru"),("Тіс жұлу","kz"),("Tooth removal","en")]},
-    {"id":"xray_chest","ru":"Рентген грудной клетки","kz":"Кеуде клеткасының рентгені","en":"Chest X-ray",
-     "category":"Диагностика","code":"A06.09.007","unit":"1 иссл.","price":(2500,6000),
-     "syn":[("Рентгенография ОГК","ru"),("Флюорография","ru"),("Кеуде рентгені","kz"),("Chest X-ray","en")]},
-    {"id":"tsh","ru":"Тиреотропный гормон (ТТГ)","kz":"Тиреотропты гормон (ТТГ)","en":"Thyroid-stimulating hormone (TSH)",
-     "category":"Лаборатория","code":"B03.016.021","unit":"1 иссл.","price":(1500,4000),
-     "syn":[("ТТГ","ru"),("Тиреотропный гормон","ru"),("TSH","en"),("ТТГ гормоны","kz")]},
-    {"id":"urinalysis","ru":"Общий анализ мочи","kz":"Зәрдің жалпы анализі","en":"Urinalysis",
-     "category":"Лаборатория","code":"B03.016.010","unit":"1 иссл.","price":(900,2500),
-     "syn":[("ОАМ","ru"),("Общий анализ мочи","ru"),("Зәр анализі","kz"),("Urine test","en")]},
-    {"id":"gyn","ru":"Приём гинеколога","kz":"Гинеколог қабылдауы","en":"Gynecologist consultation",
-     "category":"Приём специалистов","code":"B01.001.001","unit":"1 приём","price":(5000,11000),
-     "syn":[("Прием гинеколога","ru"),("Консультация гинеколога первичная","ru"),("Гинеколог кеңесі","kz")]},
-    {"id":"covid_pcr","ru":"ПЦР на COVID-19","kz":"COVID-19 ПТР","en":"COVID-19 PCR test",
-     "category":"Лаборатория","code":"A26.08.027","unit":"1 иссл.","price":(7000,16000),
-     "syn":[("ПЦР COVID-19","ru"),("ПЦР-тест на коронавирус","ru"),("COVID PCR","en"),("COVID ПТР","kz")]},
-    {"id":"vit_d","ru":"Витамин D (25-OH)","kz":"D дәрумені (25-OH)","en":"Vitamin D (25-OH)",
-     "category":"Лаборатория","code":"B03.016.115","unit":"1 иссл.","price":(6000,12000),
-     "syn":[("25-OH витамин D","ru"),("Витамин Д","ru"),("Vitamin D","en"),("D витамині","kz")]},
+    {
+        "id": "cbc",
+        "ru": "Общий анализ крови",
+        "kz": "Қанның жалпы анализі",
+        "en": "Complete blood count (CBC)",
+        "category": "Лаборатория",
+        "code": "B03.016.003",
+        "unit": "1 иссл.",
+        "price": (1200, 4500),
+        "syn": [
+            ("ОАК", "ru"),
+            ("Общий анализ крови (развернутый)", "ru"),
+            ("Клинический анализ крови", "ru"),
+            ("КАК", "ru"),
+            ("CBC", "en"),
+            ("Қанның жалпы талдауы", "kz"),
+        ],
+    },
+    {
+        "id": "uzi_abd",
+        "ru": "УЗИ органов брюшной полости",
+        "kz": "Құрсақ қуысы ағзаларының УДЗ",
+        "en": "Abdominal ultrasound",
+        "category": "Диагностика/УЗИ",
+        "code": "A04.16.001",
+        "unit": "1 иссл.",
+        "price": (6000, 13000),
+        "syn": [
+            ("УЗИ ОБП", "ru"),
+            ("УЗИ брюшной полости", "ru"),
+            ("Ультразвуковое исследование брюшной полости", "ru"),
+            ("Құрсақ қуысы УДЗ", "kz"),
+            ("Abdominal US", "en"),
+        ],
+    },
+    {
+        "id": "therapist",
+        "ru": "Приём врача-терапевта",
+        "kz": "Терапевт дәрігердің қабылдауы",
+        "en": "General practitioner consultation",
+        "category": "Приём специалистов",
+        "code": "B01.047.001",
+        "unit": "1 приём",
+        "price": (4000, 9000),
+        "syn": [
+            ("Прием терапевта", "ru"),
+            ("Консультация терапевта первичная", "ru"),
+            ("Терапевт қабылдауы", "kz"),
+            ("GP visit", "en"),
+        ],
+    },
+    {
+        "id": "ecg",
+        "ru": "Электрокардиография (ЭКГ)",
+        "kz": "Электрокардиография (ЭКГ)",
+        "en": "Electrocardiography (ECG)",
+        "category": "Диагностика",
+        "code": "A05.10.006",
+        "unit": "1 иссл.",
+        "price": (2000, 5000),
+        "syn": [
+            ("ЭКГ", "ru"),
+            ("ЭКГ с расшифровкой", "ru"),
+            ("Электрокардиография", "ru"),
+            ("ECG", "en"),
+            ("ЭКГ + описание", "ru"),
+        ],
+    },
+    {
+        "id": "glucose",
+        "ru": "Глюкоза крови",
+        "kz": "Қандағы глюкоза",
+        "en": "Blood glucose",
+        "category": "Лаборатория",
+        "code": "B03.016.006",
+        "unit": "1 иссл.",
+        "price": (800, 2200),
+        "syn": [
+            ("Глюкоза", "ru"),
+            ("Сахар крови", "ru"),
+            ("Қандағы глюкоза", "kz"),
+            ("Glucose", "en"),
+        ],
+    },
+    {
+        "id": "cardiologist",
+        "ru": "Консультация кардиолога",
+        "kz": "Кардиолог кеңесі",
+        "en": "Cardiologist consultation",
+        "category": "Приём специалистов",
+        "code": "B01.015.001",
+        "unit": "1 приём",
+        "price": (5000, 12000),
+        "syn": [
+            ("Прием кардиолога", "ru"),
+            ("Кардиолог консультация первичная", "ru"),
+            ("Кардиолог қабылдауы", "kz"),
+        ],
+    },
+    {
+        "id": "mri_brain",
+        "ru": "МРТ головного мозга",
+        "kz": "Бас миының МРТ",
+        "en": "Brain MRI",
+        "category": "Диагностика/МРТ",
+        "code": "A05.23.009",
+        "unit": "1 иссл.",
+        "price": (18000, 35000),
+        "syn": [
+            ("МРТ г/м", "ru"),
+            ("Магнитно-резонансная томография головного мозга", "ru"),
+            ("Бас миы МРТ", "kz"),
+            ("Brain MRI", "en"),
+        ],
+    },
+    {
+        "id": "biochem",
+        "ru": "Биохимический анализ крови",
+        "kz": "Қанның биохимиялық анализі",
+        "en": "Blood chemistry panel",
+        "category": "Лаборатория",
+        "code": "B03.016.004",
+        "unit": "1 иссл.",
+        "price": (3500, 9000),
+        "syn": [
+            ("Биохимия крови", "ru"),
+            ("Б/х крови", "ru"),
+            ("Биохимический анализ крови (базовый)", "ru"),
+            ("Қан биохимиясы", "kz"),
+        ],
+    },
+    {
+        "id": "tooth_ext",
+        "ru": "Удаление зуба",
+        "kz": "Тісті жұлу",
+        "en": "Tooth extraction",
+        "category": "Стоматология",
+        "code": "A16.07.001",
+        "unit": "1 зуб",
+        "price": (6000, 15000),
+        "syn": [
+            ("Удаление зуба простое", "ru"),
+            ("Экстракция зуба", "ru"),
+            ("Тіс жұлу", "kz"),
+            ("Tooth removal", "en"),
+        ],
+    },
+    {
+        "id": "xray_chest",
+        "ru": "Рентген грудной клетки",
+        "kz": "Кеуде клеткасының рентгені",
+        "en": "Chest X-ray",
+        "category": "Диагностика",
+        "code": "A06.09.007",
+        "unit": "1 иссл.",
+        "price": (2500, 6000),
+        "syn": [
+            ("Рентгенография ОГК", "ru"),
+            ("Флюорография", "ru"),
+            ("Кеуде рентгені", "kz"),
+            ("Chest X-ray", "en"),
+        ],
+    },
+    {
+        "id": "tsh",
+        "ru": "Тиреотропный гормон (ТТГ)",
+        "kz": "Тиреотропты гормон (ТТГ)",
+        "en": "Thyroid-stimulating hormone (TSH)",
+        "category": "Лаборатория",
+        "code": "B03.016.021",
+        "unit": "1 иссл.",
+        "price": (1500, 4000),
+        "syn": [("ТТГ", "ru"), ("Тиреотропный гормон", "ru"), ("TSH", "en"), ("ТТГ гормоны", "kz")],
+    },
+    {
+        "id": "urinalysis",
+        "ru": "Общий анализ мочи",
+        "kz": "Зәрдің жалпы анализі",
+        "en": "Urinalysis",
+        "category": "Лаборатория",
+        "code": "B03.016.010",
+        "unit": "1 иссл.",
+        "price": (900, 2500),
+        "syn": [
+            ("ОАМ", "ru"),
+            ("Общий анализ мочи", "ru"),
+            ("Зәр анализі", "kz"),
+            ("Urine test", "en"),
+        ],
+    },
+    {
+        "id": "gyn",
+        "ru": "Приём гинеколога",
+        "kz": "Гинеколог қабылдауы",
+        "en": "Gynecologist consultation",
+        "category": "Приём специалистов",
+        "code": "B01.001.001",
+        "unit": "1 приём",
+        "price": (5000, 11000),
+        "syn": [
+            ("Прием гинеколога", "ru"),
+            ("Консультация гинеколога первичная", "ru"),
+            ("Гинеколог кеңесі", "kz"),
+        ],
+    },
+    {
+        "id": "covid_pcr",
+        "ru": "ПЦР на COVID-19",
+        "kz": "COVID-19 ПТР",
+        "en": "COVID-19 PCR test",
+        "category": "Лаборатория",
+        "code": "A26.08.027",
+        "unit": "1 иссл.",
+        "price": (7000, 16000),
+        "syn": [
+            ("ПЦР COVID-19", "ru"),
+            ("ПЦР-тест на коронавирус", "ru"),
+            ("COVID PCR", "en"),
+            ("COVID ПТР", "kz"),
+        ],
+    },
+    {
+        "id": "vit_d",
+        "ru": "Витамин D (25-OH)",
+        "kz": "D дәрумені (25-OH)",
+        "en": "Vitamin D (25-OH)",
+        "category": "Лаборатория",
+        "code": "B03.016.115",
+        "unit": "1 иссл.",
+        "price": (6000, 12000),
+        "syn": [
+            ("25-OH витамин D", "ru"),
+            ("Витамин Д", "ru"),
+            ("Vitamin D", "en"),
+            ("D витамині", "kz"),
+        ],
+    },
+]
+CLINICS = [
+    "Клиника «Аль-Шифа»",
+    "Медцентр «Сункар»",
+    "Diagnostic Lab Astana",
+    "Клиника «Береке»",
+    "Медцентр «Тенгри»",
 ]
-CLINICS = ["Клиника «Аль-Шифа»","Медцентр «Сункар»","Diagnostic Lab Astana","Клиника «Береке»","Медцентр «Тенгри»"]
 
-def price(c): return random.randint(c["price"][0]//100, c["price"][1]//100) * 100
-def variant(c): return random.choice([(c["ru"],"ru")] + c["syn"])
+
+def price(c):
+    return random.randint(c["price"][0] // 100, c["price"][1] // 100) * 100
+
+
+def variant(c):
+    return random.choice([(c["ru"], "ru")] + c["syn"])
+
 
 GOLDEN = []
+
+
 def build(file_name, clinic, n):
     rows = []
     for c in random.sample(CANONS, k=min(n, len(CANONS))):
-        raw_name, lang = variant(c); p = price(c)
-        rows.append({"raw_name":raw_name,"price":p,"unit":c["unit"]})
-        GOLDEN.append({"source_file":file_name,"clinic":clinic,"raw_name":raw_name,"lang":lang,
-                       "canon_id":c["id"],"canonical_ru":c["ru"],"canonical_kz":c["kz"],"canonical_en":c["en"],
-                       "category":c["category"],"code":c["code"],"price":p,"currency":"KZT","unit":c["unit"]})
+        raw_name, lang = variant(c)
+        p = price(c)
+        rows.append({"raw_name": raw_name, "price": p, "unit": c["unit"]})
+        GOLDEN.append(
+            {
+                "source_file": file_name,
+                "clinic": clinic,
+                "raw_name": raw_name,
+                "lang": lang,
+                "canon_id": c["id"],
+                "canonical_ru": c["ru"],
+                "canonical_kz": c["kz"],
+                "canonical_en": c["en"],
+                "category": c["category"],
+                "code": c["code"],
+                "price": p,
+                "currency": "KZT",
+                "unit": c["unit"],
+            }
+        )
     return rows
 
-ensure("openpyxl"); from openpyxl import Workbook
+
+ensure("openpyxl")
+from openpyxl import Workbook
 
 # 1) чистый Excel
 rows = build("clinic_alpha_clean.xlsx", CLINICS[0], 9)
-wb=Workbook(); ws=wb.active; ws.title="Прайс"; ws.append(["Наименование услуги","Цена, тг"])
-for r in rows: ws.append([r["raw_name"], r["price"]])
+wb = Workbook()
+ws = wb.active
+ws.title = "Прайс"
+ws.append(["Наименование услуги", "Цена, тг"])
+for r in rows:
+    ws.append([r["raw_name"], r["price"]])
 wb.save(f"{RAW}/clinic_alpha_clean.xlsx")
 
 # 2) грязный Excel
 rows = build("clinic_beta_dirty.xlsx", CLINICS[1], 9)
-wb=Workbook(); ws=wb.active; ws.title="PRICE 2026"
-ws.append(["Прайс-лист медцентра «Сункар» (с 01.06.2026)"]); ws.append([])
-ws.append(["№","Услуга / Қызмет","Стоимость (тенге)","Ед."])
-secs=["— Лаборатория / Зертхана —","— Диагностика —","— Приём специалистов —"]; i=1
-for k,r in enumerate(rows):
-    if k%3==0 and secs: ws.append([secs.pop(0),None,None,None])
-    val=f"от {r['price']}" if random.random()<0.3 else r["price"]
-    ws.append([i, r["raw_name"], val, r["unit"]]); i+=1
+wb = Workbook()
+ws = wb.active
+ws.title = "PRICE 2026"
+ws.append(["Прайс-лист медцентра «Сункар» (с 01.06.2026)"])
+ws.append([])
+ws.append(["№", "Услуга / Қызмет", "Стоимость (тенге)", "Ед."])
+secs = ["— Лаборатория / Зертхана —", "— Диагностика —", "— Приём специалистов —"]
+i = 1
+for k, r in enumerate(rows):
+    if k % 3 == 0 and secs:
+        ws.append([secs.pop(0), None, None, None])
+    val = f"от {r['price']}" if random.random() < 0.3 else r["price"]
+    ws.append([i, r["raw_name"], val, r["unit"]])
+    i += 1
 wb.save(f"{RAW}/clinic_beta_dirty.xlsx")
 
 # 3) CSV ;
 rows = build("clinic_gamma.csv", CLINICS[2], 8)
-with open(f"{RAW}/clinic_gamma.csv","w",encoding="utf-8",newline="") as f:
-    w=csv.writer(f,delimiter=";"); w.writerow(["service","price_kzt","unit"])
-    for r in rows: w.writerow([r["raw_name"], r["price"], r["unit"]])
+with open(f"{RAW}/clinic_gamma.csv", "w", encoding="utf-8", newline="") as f:
+    w = csv.writer(f, delimiter=";")
+    w.writerow(["service", "price_kzt", "unit"])
+    for r in rows:
+        w.writerow([r["raw_name"], r["price"], r["unit"]])
 
 # 4) грязный текст
 rows = build("clinic_delta_messy.txt", CLINICS[4], 7)
-with open(f"{RAW}/clinic_delta_messy.txt","w",encoding="utf-8") as f:
+with open(f"{RAW}/clinic_delta_messy.txt", "w", encoding="utf-8") as f:
     f.write("МЕДЦЕНТР «ТЕНГРИ» — действующие цены\n\n")
     for r in rows:
-        sep=random.choice([" — "," ... ",": ","  "]); cur=random.choice(["тг","тенге","₸","KZT"])
+        sep = random.choice([" — ", " ... ", ": ", "  "])
+        cur = random.choice(["тг", "тенге", "₸", "KZT"])
         f.write(f"{r['raw_name']}{sep}{r['price']} {cur} ({r['unit']})\n")
     f.write("\n* Цены справочные, уточняйте в регистратуре. Бағалар анықтамалық.\n")
 
 # 5) PNG-скан
 rows = build("clinic_epsilon_scan.png", CLINICS[3], 9)
-ensure("Pillow","PIL"); from PIL import Image, ImageDraw, ImageFont
+ensure("Pillow", "PIL")
+from PIL import Image, ImageDraw, ImageFont
+
+
 def font(sz):
-    for p in ["/System/Library/Fonts/Supplemental/Arial.ttf","/Library/Fonts/Arial.ttf","/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf"]:
-        if os.path.exists(p): return ImageFont.truetype(p,sz)
+    for p in [
+        "/System/Library/Fonts/Supplemental/Arial.ttf",
+        "/Library/Fonts/Arial.ttf",
+        "/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf",
+    ]:
+        if os.path.exists(p):
+            return ImageFont.truetype(p, sz)
     return ImageFont.load_default()
-img=Image.new("RGB",(900,720),(250,248,244)); d=ImageDraw.Draw(img)
-d.text((40,30),"Клиника «Береке» — прайс-лист",fill=(20,20,20),font=font(34)); d.line((40,85,860,85),fill=(180,180,180),width=2)
-y=110
+
+
+img = Image.new("RGB", (900, 720), (250, 248, 244))
+d = ImageDraw.Draw(img)
+d.text((40, 30), "Клиника «Береке» — прайс-лист", fill=(20, 20, 20), font=font(34))
+d.line((40, 85, 860, 85), fill=(180, 180, 180), width=2)
+y = 110
 for r in rows:
-    d.text((50,y),r["raw_name"][:42],fill=(30,30,30),font=font(23)); d.text((720,y),f"{r['price']} тг",fill=(30,30,30),font=font(23)); y+=62
-img=img.rotate(-1.4,expand=False,fillcolor=(250,248,244)); img.save(f"{RAW}/clinic_epsilon_scan.png")
+    d.text((50, y), r["raw_name"][:42], fill=(30, 30, 30), font=font(23))
+    d.text((720, y), f"{r['price']} тг", fill=(30, 30, 30), font=font(23))
+    y += 62
+img = img.rotate(-1.4, expand=False, fillcolor=(250, 248, 244))
+img.save(f"{RAW}/clinic_epsilon_scan.png")
 
 # 6) PDF
 rows = build("clinic_zeta_prices.pdf", CLINICS[2], 10)
-pdf="skip"
+pdf = "skip"
 try:
     ensure("reportlab")
-    from reportlab.lib.pagesizes import A4; from reportlab.pdfgen import canvas
-    from reportlab.pdfbase import pdfmetrics; from reportlab.pdfbase.ttfonts import TTFont
-    fp=next((p for p in ["/Library/Fonts/Arial.ttf","/System/Library/Fonts/Supplemental/Arial.ttf","/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf"] if os.path.exists(p)),None)
+    from reportlab.lib.pagesizes import A4
+    from reportlab.pdfbase import pdfmetrics
+    from reportlab.pdfbase.ttfonts import TTFont
+    from reportlab.pdfgen import canvas
+
+    fp = next(
+        (
+            p
+            for p in [
+                "/Library/Fonts/Arial.ttf",
+                "/System/Library/Fonts/Supplemental/Arial.ttf",
+                "/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf",
+            ]
+            if os.path.exists(p)
+        ),
+        None,
+    )
     if fp:
-        pdfmetrics.registerFont(TTFont("U",fp)); c=canvas.Canvas(f"{RAW}/clinic_zeta_prices.pdf",pagesize=A4)
-        c.setFont("U",18); c.drawString(60,790,"Diagnostic Lab Astana — Price list / Прайс"); c.setFont("U",12); y=750
-        for r in rows: c.drawString(60,y,r["raw_name"][:55]); c.drawRightString(540,y,f"{r['price']} KZT"); y-=28
-        c.save(); pdf="ok"
-except Exception as e: pdf=f"skip ({e})"
+        pdfmetrics.registerFont(TTFont("U", fp))
+        c = canvas.Canvas(f"{RAW}/clinic_zeta_prices.pdf", pagesize=A4)
+        c.setFont("U", 18)
+        c.drawString(60, 790, "Diagnostic Lab Astana — Price list / Прайс")
+        c.setFont("U", 12)
+        y = 750
+        for r in rows:
+            c.drawString(60, y, r["raw_name"][:55])
+            c.drawRightString(540, y, f"{r['price']} KZT")
+            y -= 28
+        c.save()
+        pdf = "ok"
+except Exception as e:
+    pdf = f"skip ({e})"
 
 # эталон нормализации + справочник
-with open(f"{NORM}/golden.json","w",encoding="utf-8") as f:
+with open(f"{NORM}/golden.json", "w", encoding="utf-8") as f:
     json.dump(GOLDEN, f, ensure_ascii=False, indent=2)
-canon_out=[{"canon_id":c["id"],"canonical_ru":c["ru"],"canonical_kz":c["kz"],"canonical_en":c["en"],
-            "category":c["category"],"code":c["code"],"unit":c["unit"],
-            "synonyms":[{"text":t,"lang":l} for t,l in c["syn"]]} for c in CANONS]
-with open(f"{CONTRACTS}/service_canon.json","w",encoding="utf-8") as f:
+canon_out = [
+    {
+        "canon_id": c["id"],
+        "canonical_ru": c["ru"],
+        "canonical_kz": c["kz"],
+        "canonical_en": c["en"],
+        "category": c["category"],
+        "code": c["code"],
+        "unit": c["unit"],
+        "synonyms": [{"text": t, "lang": l} for t, l in c["syn"]],
+    }
+    for c in CANONS
+]
+with open(f"{CONTRACTS}/service_canon.json", "w", encoding="utf-8") as f:
     json.dump(canon_out, f, ensure_ascii=False, indent=2)
 
 print("PDF:", pdf)
diff --git a/scripts/proof/extract_all.py b/scripts/proof/extract_all.py
index 73c23ce..a1da4d4 100644
--- a/scripts/proof/extract_all.py
+++ b/scripts/proof/extract_all.py
@@ -1,4 +1,5 @@
 """Прогон извлечения по всему архиву: сколько позиций берёт каждый формат."""
+
 import sys
 from pathlib import Path
 
@@ -14,11 +15,15 @@ for path in files:
     total += len(doc.rows)
     tiers = sorted({t for row in doc.rows for t in row.prices})
     print(f"\n{'=' * 68}")
-    print(f"{path.name}  [{doc.file_format}]  партнёр='{doc.partner_name}'  дата={doc.effective_date}")
+    print(
+        f"{path.name}  [{doc.file_format}]  партнёр='{doc.partner_name}'  дата={doc.effective_date}"
+    )
     print(f"  позиций: {len(doc.rows)} | тарифы: {tiers}")
     if doc.parse_log:
         print(f"  лог: {doc.parse_log[:2]}")
     for row in doc.rows[:3]:
-        print(f"    код={row.service_code_source!r} «{row.service_name_raw[:40]}» {row.prices} секц={row.section!r}")
+        print(
+            f"    код={row.service_code_source!r} «{row.service_name_raw[:40]}» {row.prices} секц={row.section!r}"
+        )
 
 print(f"\n{'=' * 68}\nИТОГО позиций по архиву: {total}")
diff --git a/scripts/proof/normalize_tune.py b/scripts/proof/normalize_tune.py
index d294cbc..480abb1 100644
--- a/scripts/proof/normalize_tune.py
+++ b/scripts/proof/normalize_tune.py
@@ -1,4 +1,5 @@
 """Подбор порога нормализации: выборка позиций → каскад → покрытие при порогах."""
+
 import random
 import sys
 from pathlib import Path
@@ -63,7 +64,9 @@ for thr in (0.58, 0.60, 0.62, 0.64, 0.66, 0.70):
     emb_matched = int((top_score >= thr).sum())
     fuzzy_matched = int(((fuzzy_score >= 88) & (top_score < thr)).sum())
     coverage = base + emb_matched + fuzzy_matched
-    print(f"  порог {thr}: эмб {emb_matched} + fuzzy {fuzzy_matched} → покрытие {100 * coverage / len(sample):.0f}%")
+    print(
+        f"  порог {thr}: эмб {emb_matched} + fuzzy {fuzzy_matched} → покрытие {100 * coverage / len(sample):.0f}%"
+    )
 
 print("\nпримеры эмбеддинг-совпадений (порог 0.62):")
 shown = 0
@@ -75,5 +78,7 @@ print("примеры unmatched (top<0.62 и fuzzy<88):")
 shown = 0
 for k, (name, _) in enumerate(pending):
     if top_score[k] < 0.62 and fuzzy_score[k] < 88 and shown < 6:
-        print(f"  «{name[:48]}» (лучший {services[int(top_idx[k])].name_ru[:22]} {top_score[k]:.2f})")
+        print(
+            f"  «{name[:48]}» (лучший {services[int(top_idx[k])].name_ru[:22]} {top_score[k]:.2f})"
+        )
         shown += 1
diff --git a/scripts/proof/phase0_proof.py b/scripts/proof/phase0_proof.py
index e3e6813..838e825 100644
--- a/scripts/proof/phase0_proof.py
+++ b/scripts/proof/phase0_proof.py
@@ -4,6 +4,7 @@
 точное совпадение + RapidFuzz). Эмбеддинги в боевом каскаде поднимут этот процент —
 здесь нужен нижний ориентир, чтобы убедиться, что цель 70% достижима.
 """
+
 import re
 import sys
 from pathlib import Path
@@ -17,7 +18,9 @@ from rapidfuzz import fuzz, process
 from etl.dictionary import load_dictionary, normalize_name
 
 svcs = load_dictionary(REPO / "data/reference/dictionary.xlsx")
-print(f"Справочник: {len(svcs)} услуг | с кодом тарификатора: {sum(1 for s in svcs if s.tarificator_code)}")
+print(
+    f"Справочник: {len(svcs)} услуг | с кодом тарификатора: {sum(1 for s in svcs if s.tarificator_code)}"
+)
 
 by_code = {s.tarificator_code: s for s in svcs if s.tarificator_code}
 by_norm: dict[str, object] = {}
@@ -35,11 +38,11 @@ for row in table.rows:
     if len(cells) < 3:
         continue
     code, name, price = cells[0], cells[1], cells[2]
-    if code == name == price:           # строка-заголовок секции (объединённые ячейки)
+    if code == name == price:  # строка-заголовок секции (объединённые ячейки)
         continue
     if name.lower() == "наименование услуги":
         continue
-    if not re.search(r"\d", price):      # строка без цены — не позиция
+    if not re.search(r"\d", price):  # строка без цены — не позиция
         continue
     items.append((code, name, price))
 
@@ -52,14 +55,17 @@ examples_ok, examples_miss = [], []
 for code, name, price in items:
     nn = normalize_name(name)
     if code in by_code:
-        matched += 1; by_code_n += 1
+        matched += 1
+        by_code_n += 1
         continue
     if nn in by_norm:
-        matched += 1; by_exact_n += 1
+        matched += 1
+        by_exact_n += 1
         continue
     best = process.extractOne(nn, names_norm, scorer=fuzz.token_set_ratio)
     if best and best[1] >= THRESHOLD:
-        matched += 1; by_fuzzy_n += 1
+        matched += 1
+        by_fuzzy_n += 1
         if len(examples_ok) < 6:
             examples_ok.append((name, svcs[best[2]].name_ru, round(best[1])))
     elif len(examples_miss) < 6 and best:
@@ -67,7 +73,9 @@ for code, name, price in items:
 
 pct = 100 * matched / max(1, len(items))
 print(f"\nАВТО-СОПОСТАВЛЕНО (без эмбеддингов): {matched}/{len(items)} = {pct:.0f}%")
-print(f"   код тарификатора: {by_code_n} | точное имя: {by_exact_n} | fuzzy≥{THRESHOLD}: {by_fuzzy_n}")
+print(
+    f"   код тарификатора: {by_code_n} | точное имя: {by_exact_n} | fuzzy≥{THRESHOLD}: {by_fuzzy_n}"
+)
 print("\nпримеры совпадений:")
 for raw, canon, sc in examples_ok:
     print(f"   «{raw[:46]}» → «{canon[:46]}» ({sc})")
diff --git a/scripts/run_pipeline.py b/scripts/run_pipeline.py
index b8168d6..ece9119 100644
--- a/scripts/run_pipeline.py
+++ b/scripts/run_pipeline.py
@@ -2,6 +2,7 @@
 
 Флаг --vision включает добор трудных PDF через Gemini Vision (медленно).
 """
+
 import json
 import sys
 from datetime import date
@@ -10,8 +11,8 @@ from pathlib import Path
 REPO = Path(__file__).resolve().parents[1]
 sys.path.insert(0, str(REPO))
 
-from etl.normalize.embedding import GeminiEmbedder
-from etl.pipeline import run
+from etl.normalize.embedding import GeminiEmbedder  # noqa: E402
+from etl.pipeline import run  # noqa: E402
 
 summary = run(
     data_dir=str(REPO / "data/raw"),
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000..6164ed8
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,1319 @@
+version = 1
+revision = 3
+requires-python = ">=3.12"
+
+[[package]]
+name = "annotated-doc"
+version = "0.0.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288, upload-time = "2025-11-10T22:07:42.062Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303, upload-time = "2025-11-10T22:07:40.673Z" },
+]
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
+]
+
+[[package]]
+name = "anyio"
+version = "4.14.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "idna" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/3b/72/5562aabb8dd7181e8e860622a38bea08d17842b99ecd4c91f84ac95251b0/anyio-4.14.1.tar.gz", hash = "sha256:8d648a3544c1a700e3ff78615cd679e4c5c3f149904287e73687b2596963629e", size = 254831, upload-time = "2026-06-24T20:56:06.017Z" }
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+]
+
+[[package]]
+name = "certifi"
+version = "2026.6.17"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/c9/c7/424b75da314c1045981bd9777432fad05a9e0c69daa4ed7e308bbaffe405/certifi-2026.6.17.tar.gz", hash = "sha256:024c88eeec92ca068db80f02b8b07c9cef7b9fe261d1d535abfd5abd6f6af432", size = 134594, upload-time = "2026-06-17T10:31:07.894Z" }
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+
+[[package]]
+name = "cffi"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
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+]
+
+[[package]]
+name = "xlrd"
+version = "2.0.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/07/5a/377161c2d3538d1990d7af382c79f3b2372e880b65de21b01b1a2b78691e/xlrd-2.0.2.tar.gz", hash = "sha256:08b5e25de58f21ce71dc7db3b3b8106c1fa776f3024c54e45b45b374e89234c9", size = 100167, upload-time = "2025-06-14T08:46:39.039Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1a/62/c8d562e7766786ba6587d09c5a8ba9f718ed3fa8af7f4553e8f91c36f302/xlrd-2.0.2-py2.py3-none-any.whl", hash = "sha256:ea762c3d29f4cca48d82df517b6d89fbce4db3107f9d78713e48cd321d5c9aa9", size = 96555, upload-time = "2025-06-14T08:46:37.766Z" },
+]
diff --git a/web/index.html b/web/index.html
index 4e444f7..ec9ebcb 100644
--- a/web/index.html
+++ b/web/index.html
@@ -51,6 +51,21 @@
     <h2 class="text-2xl font-bold mt-6">Дашборд обработки</h2>
     <div id="stats" class="grid grid-cols-2 sm:grid-cols-4 gap-3 mt-4"></div>
 
+    <!-- Загрузка нового архива (ТЗ §4.1) -->
+    <div class="bg-white border border-[#ebedf0] rounded-2xl shadow-sm p-5 mt-6">
+      <div class="flex items-center justify-between gap-4 flex-wrap">
+        <div>
+          <h3 class="text-lg font-semibold">Загрузить архив прайсов</h3>
+          <p class="text-sm text-tg mt-1">ZIP с прайсами клиник (pdf, xlsx, xls, docx). Система распакует, распознает и догрузит позиции в базу.</p>
+        </div>
+        <div class="shrink-0">
+          <input id="zip" type="file" accept=".zip" class="hidden" onchange="uploadArchive(this)">
+          <button onclick="$('zip').click()" class="bg-nomad text-white rounded-lg px-4 py-2 text-sm font-medium hover:bg-nomad-dark">Выбрать ZIP</button>
+        </div>
+      </div>
+      <div id="ingest-result" class="mt-3 text-sm hidden"></div>
+    </div>
+
     <div class="flex items-center justify-between mt-8">
       <h3 class="text-lg font-semibold">Очередь верификации</h3>
       <div id="vprogress" class="text-sm text-tg"></div>
@@ -145,6 +160,33 @@ async function loadAdmin() {
   loadQueue();
 }
 
+async function uploadArchive(input) {
+  const f = input.files[0];
+  if (!f) return;
+  const box = $('ingest-result');
+  box.classList.remove('hidden');
+  box.innerHTML = `<span class="text-tg">⏳ Обрабатываю <b>${f.name}</b> — распаковка, распознавание и нормализация. Может занять до минуты…</span>`;
+  const fd = new FormData();
+  fd.append('file', f);
+  try {
+    const res = await fetch(`${API}/ingest`, { method: 'POST', body: fd });
+    const r = await res.json().catch(() => ({}));
+    if (!res.ok) {
+      box.innerHTML = `<span class="text-[#dc2626]">Ошибка: ${r.detail || res.status}</span>`;
+    } else {
+      const note = r.embeddings ? '' : ' <span class="text-tg">(нормализация по кодам и нечёткому совпадению — без эмбеддингов)</span>';
+      box.innerHTML = `<div class="bg-nomad-soft border border-[#ffd9cc] rounded-lg p-3">
+        ✓ Архив обработан: <b>${r.documents}</b> прайс(ов), <b>${r.items}</b> позиций,
+        автонормализация <b class="text-nomad">${r.auto_matched_pct}%</b>${r.new_partners ? ', новых клиник ' + r.new_partners : ''}.${note}
+        <div class="text-tg mt-1">Новые позиции уже доступны в поиске и в очереди верификации.</div></div>`;
+      loadAdmin();   // обновить дашборд и очередь под новые данные
+    }
+  } catch (e) {
+    box.innerHTML = `<span class="text-[#dc2626]">Сбой загрузки: ${e}</span>`;
+  }
+  input.value = '';
+}
+
 async function loadQueue() {
   const items = await fetch(`${API}/unmatched?limit=25`).then(r => r.json());
   $('queue').innerHTML = items.map(renderCard).join('') || '<div class="text-tg p-4">Очередь пуста 🎉</div>';