Интегрирован wesp в сайт

WESP_REL/migrations/versions/0001_wesp_2_0_unified.py

@@ -0,0 +1,33 @@
+"""WESP 2.0: одна миграция для recipes.db и reports.db (переход с легаси 1.3).
+
+Логика в app.schema_bootstrap.run_wesp20_idempotent_sync — та же выполняется после upgrade
+в create_app (идемпотентно), чтобы схема догналась даже после alembic stamp без прогона.
+
+Revision ID: wesp_2_0
+Revises:
+Create Date: 2026-04-19
+"""
+
+from __future__ import annotations
+
+import os
+
+from alembic import op
+
+from app.schema_bootstrap import run_wesp20_idempotent_sync
+
+
+revision = "wesp_2_0"
+down_revision = None
+branch_labels = None
+depends_on = None
+
+
+def upgrade(**kw) -> None:
+    run_wesp20_idempotent_sync(op, kw)
+    n = int(os.environ.get("WESP_MIGRATION_BODY_RAN_COUNT", "0") or "0")
+    os.environ["WESP_MIGRATION_BODY_RAN_COUNT"] = str(n + 1)
+
+
+def downgrade(**kw) -> None:
+    """Не поддерживается: откат к 1.3 только из бэкапа БД."""

WESP_REL/migrations/versions/0002_feed_quality_settings.py

@@ -0,0 +1,30 @@
+"""Таблица feed_quality_settings + импорт из data/wesp_feed_quality_settings.json.
+
+Revision ID: feed_quality_settings
+Revises: wesp_2_0
+Create Date: 2026-06-07
+"""
+
+from __future__ import annotations
+
+from alembic import op
+
+from app.services.feed_quality.settings_store import ensure_feed_quality_settings_table
+
+
+revision = "feed_quality_settings"
+down_revision = "wesp_2_0"
+branch_labels = None
+depends_on = None
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    ensure_feed_quality_settings_table(op.get_bind(), import_json=True)
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    op.drop_table("feed_quality_settings")

WESP_REL/migrations/versions/0003_daily_trip_skip.py

@@ -0,0 +1,30 @@
+"""Таблица daily_trip_skip — исключение рейса из плана на день.
+
+Revision ID: daily_trip_skip
+Revises: feed_quality_settings
+Create Date: 2026-06-07
+"""
+
+from __future__ import annotations
+
+from alembic import op
+
+from app.models.daily_trip_skip import DailyTripSkip
+
+
+revision = "daily_trip_skip"
+down_revision = "feed_quality_settings"
+branch_labels = None
+depends_on = None
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    DailyTripSkip.__table__.create(op.get_bind(), checkfirst=True)
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    op.drop_table("daily_trip_skip")

WESP_REL/migrations/versions/0004_daily_plan_part_skips.py

@@ -0,0 +1,33 @@
+"""Таблицы daily_ingredient_skip и daily_unloading_group_skip.
+
+Revision ID: daily_plan_part_skips
+Revises: daily_trip_skip
+Create Date: 2026-06-07
+"""
+
+from __future__ import annotations
+
+from alembic import op
+
+from app.models.daily_ingredient_skip import DailyIngredientSkip
+from app.models.daily_unloading_group_skip import DailyUnloadingGroupSkip
+
+
+revision = "daily_plan_part_skips"
+down_revision = "daily_trip_skip"
+branch_labels = None
+depends_on = None
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    DailyIngredientSkip.__table__.create(op.get_bind(), checkfirst=True)
+    DailyUnloadingGroupSkip.__table__.create(op.get_bind(), checkfirst=True)
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    op.drop_table("daily_unloading_group_skip")
+    op.drop_table("daily_ingredient_skip")

WESP_REL/migrations/versions/0005_daily_skip_valid_until.py

@@ -0,0 +1,49 @@
+"""Колонка valid_until для skip-таблиц (диапазон дат).
+
+Revision ID: daily_skip_valid_until
+Revises: daily_plan_part_skips
+Create Date: 2026-06-07
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+
+revision = "daily_skip_valid_until"
+down_revision = "daily_plan_part_skips"
+branch_labels = None
+depends_on = None
+
+_TABLES = ("daily_trip_skip", "daily_ingredient_skip", "daily_unloading_group_skip")
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    for table in _TABLES:
+        if table not in insp.get_table_names():
+            continue
+        cols = {c["name"] for c in insp.get_columns(table)}
+        if "valid_until" not in cols:
+            with op.batch_alter_table(table) as batch:
+                batch.add_column(sa.Column("valid_until", sa.Date(), nullable=True))
+            op.create_index(f"ix_{table}_valid_until", table, ["valid_until"], unique=False)
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    for table in _TABLES:
+        if table not in insp.get_table_names():
+            continue
+        cols = {c["name"] for c in insp.get_columns(table)}
+        if "valid_until" in cols:
+            op.drop_index(f"ix_{table}_valid_until", table_name=table)
+            with op.batch_alter_table(table) as batch:
+                batch.drop_column("valid_until")

WESP_REL/migrations/versions/0006_daily_ingredient_replacement.py

@@ -0,0 +1,30 @@
+"""Таблица daily_ingredient_replacement.
+
+Revision ID: daily_ingredient_replacement
+Revises: daily_skip_valid_until
+Create Date: 2026-06-07
+"""
+
+from __future__ import annotations
+
+from alembic import op
+
+from app.models.daily_ingredient_replacement import DailyIngredientReplacement
+
+
+revision = "daily_ingredient_replacement"
+down_revision = "daily_skip_valid_until"
+branch_labels = None
+depends_on = None
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    DailyIngredientReplacement.__table__.create(op.get_bind(), checkfirst=True)
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    op.drop_table("daily_ingredient_replacement")

WESP_REL/migrations/versions/0007_org_settings.py

@@ -0,0 +1,30 @@
+"""Таблица org_settings + импорт из data/wesp_org_settings.json.
+
+Revision ID: org_settings
+Revises: daily_ingredient_replacement
+Create Date: 2026-06-07
+"""
+
+from __future__ import annotations
+
+from alembic import op
+
+from app.services.org_settings import ensure_org_settings_table
+
+
+revision = "org_settings"
+down_revision = "daily_ingredient_replacement"
+branch_labels = None
+depends_on = None
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    ensure_org_settings_table(op.get_bind(), import_json=True)
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    op.drop_table("org_settings")

WESP_REL/migrations/versions/0008_daily_component_norm_adjustment.py

@@ -0,0 +1,30 @@
+"""Таблица daily_component_norm_adjustment.
+
+Revision ID: daily_component_norm_adjustment
+Revises: org_settings
+Create Date: 2026-06-07
+"""
+
+from __future__ import annotations
+
+from alembic import op
+
+from app.models.daily_component_norm_adjustment import DailyComponentNormAdjustment
+
+
+revision = "daily_component_norm_adjustment"
+down_revision = "org_settings"
+branch_labels = None
+depends_on = None
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    DailyComponentNormAdjustment.__table__.create(op.get_bind(), checkfirst=True)
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    op.drop_table("daily_component_norm_adjustment")

WESP_REL/migrations/versions/0009_daily_component_norm_dry_matter.py

@@ -0,0 +1,45 @@
+"""Колонка dry_matter (СВ%) в daily_component_norm_adjustment.
+
+Revision ID: daily_component_norm_dry_matter
+Revises: daily_component_norm_adjustment
+Create Date: 2026-06-07
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+
+revision = "daily_component_norm_dry_matter"
+down_revision = "daily_component_norm_adjustment"
+branch_labels = None
+depends_on = None
+
+_TABLE = "daily_component_norm_adjustment"
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    if _TABLE not in insp.get_table_names():
+        return
+    cols = {c["name"] for c in insp.get_columns(_TABLE)}
+    if "dry_matter" not in cols:
+        with op.batch_alter_table(_TABLE) as batch:
+            batch.add_column(sa.Column("dry_matter", sa.Float(), nullable=True))
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    if _TABLE not in insp.get_table_names():
+        return
+    cols = {c["name"] for c in insp.get_columns(_TABLE)}
+    if "dry_matter" in cols:
+        with op.batch_alter_table(_TABLE) as batch:
+            batch.drop_column("dry_matter")

WESP_REL/migrations/versions/0010_daily_component_norm_dm_locked.py

@@ -0,0 +1,47 @@
+"""Колонка dry_matter_locked в daily_component_norm_adjustment.
+
+Revision ID: daily_component_norm_dm_locked
+Revises: daily_component_norm_dry_matter
+Create Date: 2026-06-07
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+
+revision = "daily_component_norm_dm_locked"
+down_revision = "daily_component_norm_dry_matter"
+branch_labels = None
+depends_on = None
+
+_TABLE = "daily_component_norm_adjustment"
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    if _TABLE not in insp.get_table_names():
+        return
+    cols = {c["name"] for c in insp.get_columns(_TABLE)}
+    if "dry_matter_locked" not in cols:
+        with op.batch_alter_table(_TABLE) as batch:
+            batch.add_column(
+                sa.Column("dry_matter_locked", sa.Boolean(), nullable=False, server_default=sa.false())
+            )
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    if _TABLE not in insp.get_table_names():
+        return
+    cols = {c["name"] for c in insp.get_columns(_TABLE)}
+    if "dry_matter_locked" in cols:
+        with op.batch_alter_table(_TABLE) as batch:
+            batch.drop_column("dry_matter_locked")

WESP_REL/migrations/versions/0011_lab_module.py

@@ -0,0 +1,78 @@
+"""Lab module tables + component nutrients/external_no + recipe.ration_type.
+
+Revision ID: lab_module
+Revises: daily_component_norm_dm_locked
+Create Date: 2026-06-08
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+from app.lab.models import (
+    LabAnimalProfile,
+    LabRationLine,
+    LabRecipeRation,
+)
+
+
+revision = "lab_module"
+down_revision = "daily_component_norm_dm_locked"
+branch_labels = None
+depends_on = None
+
+
+def _add_column_if_missing(table: str, column: sa.Column) -> None:
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    if table not in insp.get_table_names():
+        return
+    cols = {c["name"] for c in insp.get_columns(table)}
+    if column.name not in cols:
+        with op.batch_alter_table(table) as batch:
+            batch.add_column(column)
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+
+    for model in (
+        LabAnimalProfile,
+        LabRecipeRation,
+        LabRationLine,
+    ):
+        model.__table__.create(bind, checkfirst=True)
+
+    _add_column_if_missing("component", sa.Column("external_no", sa.Integer(), nullable=True))
+
+    _add_column_if_missing("recipe", sa.Column("ration_type", sa.String(length=10), nullable=True))
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+
+    for table in (
+        "lab_ration_line",
+        "lab_recipe_ration",
+        "lab_animal_profile",
+    ):
+        if table in insp.get_table_names():
+            op.drop_table(table)
+
+    if "component" in insp.get_table_names():
+        cols = {c["name"] for c in insp.get_columns("component")}
+        with op.batch_alter_table("component") as batch:
+            if "external_no" in cols:
+                batch.drop_column("external_no")
+
+    if "recipe" in insp.get_table_names():
+        cols = {c["name"] for c in insp.get_columns("recipe")}
+        if "ration_type" in cols:
+            with op.batch_alter_table("recipe") as batch:
+                batch.drop_column("ration_type")

WESP_REL/migrations/versions/0012_lab_component_nutrients.py

@@ -0,0 +1,138 @@
+"""lab_component_nutrients: zootech-показатели в колонках (не JSON на component).
+
+Revision ID: lab_component_nutrients
+Revises: lab_module
+Create Date: 2026-06-08
+"""
+
+from __future__ import annotations
+
+import json
+
+import sqlalchemy as sa
+from alembic import op
+
+
+revision = "lab_component_nutrients"
+down_revision = "lab_module"
+branch_labels = None
+depends_on = None
+
+
+def _normalize_key(value: str) -> str:
+    return " ".join((value or "").split()).strip().lower()
+
+
+def _read_num(data: dict, keys: tuple[str, ...]) -> float | None:
+    for search in keys:
+        target = _normalize_key(search)
+        for k, v in data.items():
+            nk = _normalize_key(str(k))
+            if nk == target or target in nk or nk in target:
+                try:
+                    n = float(v)
+                    if n == n:
+                        return n
+                except (TypeError, ValueError):
+                    pass
+    return None
+
+
+_FIELD_KEYS = {
+    "crude_protein": ("Сыр. Протеин",),
+    "usp": ("уСП",),
+    "bra": ("БРА", "    БРА "),
+    "nel_cattle": ("ЧЭЛ- КРС", "    ЧЭЛ- КРС"),
+    "oe_cattle": ("ОЭ-КРС", "    ОЭ-КРС"),
+    "ndf": ("Сырая клетчатка", "Сырая клетч"),
+    "structural_fiber": ("Структур. клетчатка", "Структур клетч"),
+    "crude_fat": ("Сырой жир",),
+}
+
+
+def _migrate_json_nutrients(bind) -> None:
+    insp = sa.inspect(bind)
+    if "component" not in insp.get_table_names():
+        return
+    cols = {c["name"] for c in insp.get_columns("component")}
+    if "nutrients" not in cols:
+        return
+    rows = bind.execute(sa.text("SELECT id, nutrients FROM component WHERE is_deleted = 0")).fetchall()
+    for comp_id, raw in rows:
+        try:
+            data = json.loads(raw or "{}")
+        except (json.JSONDecodeError, TypeError):
+            data = {}
+        if not isinstance(data, dict) or not data:
+            continue
+        payload = {col: _read_num(data, keys) for col, keys in _FIELD_KEYS.items()}
+        if not any(v is not None for v in payload.values()):
+            continue
+        bind.execute(
+            sa.text(
+                """
+                INSERT INTO lab_component_nutrients (
+                    component_id, crude_protein, usp, bra, nel_cattle,
+                    oe_cattle, ndf, structural_fiber, crude_fat
+                ) VALUES (
+                    :component_id, :crude_protein, :usp, :bra, :nel_cattle,
+                    :oe_cattle, :ndf, :structural_fiber, :crude_fat
+                )
+                ON CONFLICT(component_id) DO UPDATE SET
+                    crude_protein = excluded.crude_protein,
+                    usp = excluded.usp,
+                    bra = excluded.bra,
+                    nel_cattle = excluded.nel_cattle,
+                    oe_cattle = excluded.oe_cattle,
+                    ndf = excluded.ndf,
+                    structural_fiber = excluded.structural_fiber,
+                    crude_fat = excluded.crude_fat
+                """
+            ),
+            {"component_id": comp_id, **payload},
+        )
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    if "lab_component_nutrients" not in insp.get_table_names():
+        op.create_table(
+            "lab_component_nutrients",
+            sa.Column("component_id", sa.String(length=36), primary_key=True),
+            sa.Column("crude_protein", sa.Float(), nullable=True),
+            sa.Column("usp", sa.Float(), nullable=True),
+            sa.Column("bra", sa.Float(), nullable=True),
+            sa.Column("nel_cattle", sa.Float(), nullable=True),
+            sa.Column("oe_cattle", sa.Float(), nullable=True),
+            sa.Column("ndf", sa.Float(), nullable=True),
+            sa.Column("structural_fiber", sa.Float(), nullable=True),
+            sa.Column("crude_fat", sa.Float(), nullable=True),
+        )
+    _migrate_json_nutrients(bind)
+
+    if "component" in insp.get_table_names():
+        cols = {c["name"] for c in insp.get_columns("component")}
+        if "nutrients" in cols:
+            with op.batch_alter_table("component") as batch:
+                batch.drop_column("nutrients")
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+
+    if "component" in insp.get_table_names():
+        cols = {c["name"] for c in insp.get_columns("component")}
+        if "nutrients" not in cols:
+            with op.batch_alter_table("component") as batch:
+                batch.add_column(
+                    sa.Column("nutrients", sa.Text(), nullable=False, server_default="{}")
+                )
+
+    if "lab_component_nutrients" in insp.get_table_names():
+        op.drop_table("lab_component_nutrients")

WESP_REL/migrations/versions/0013_drop_lab_audit_log.py

@@ -0,0 +1,42 @@
+"""Удаление lab_audit_log — аудит lab только в application log.
+
+Revision ID: drop_lab_audit_log
+Revises: lab_component_nutrients
+Create Date: 2026-06-08
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "drop_lab_audit_log"
+down_revision = "lab_component_nutrients"
+branch_labels = None
+depends_on = None
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    if "lab_audit_log" in sa.inspect(bind).get_table_names():
+        op.drop_table("lab_audit_log")
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    if "lab_audit_log" not in sa.inspect(bind).get_table_names():
+        op.create_table(
+            "lab_audit_log",
+            sa.Column("id", sa.String(length=36), primary_key=True),
+            sa.Column("user_id", sa.String(length=50), nullable=True),
+            sa.Column("action", sa.String(length=50), nullable=False),
+            sa.Column("entity_type", sa.String(length=50), nullable=False),
+            sa.Column("entity_id", sa.String(length=36), nullable=True),
+            sa.Column("metadata_json", sa.Text(), nullable=False, server_default="{}"),
+            sa.Column("created_at", sa.DateTime(), nullable=True),
+            sa.Column("updated_at", sa.DateTime(), nullable=True),
+        )

WESP_REL/migrations/versions/0014_drop_lab_calculation_run.py

@@ -0,0 +1,44 @@
+"""Удаление lab_calculation_run — история пересчётов только в application log.
+
+Revision ID: drop_lab_calculation_run
+Revises: drop_lab_audit_log
+Create Date: 2026-06-08
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "drop_lab_calculation_run"
+down_revision = "drop_lab_audit_log"
+branch_labels = None
+depends_on = None
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    if "lab_calculation_run" in sa.inspect(bind).get_table_names():
+        op.drop_table("lab_calculation_run")
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    if "lab_calculation_run" not in sa.inspect(bind).get_table_names():
+        op.create_table(
+            "lab_calculation_run",
+            sa.Column("id", sa.String(length=36), primary_key=True),
+            sa.Column("recipe_id", sa.String(length=36), nullable=True),
+            sa.Column("tab_project_id", sa.String(length=36), nullable=True),
+            sa.Column("status", sa.String(length=20), nullable=False, server_default="COMPLETED"),
+            sa.Column("engine_version", sa.String(length=20), nullable=True),
+            sa.Column("duration_ms", sa.Integer(), nullable=True),
+            sa.Column("error_message", sa.Text(), nullable=True),
+            sa.Column("kpi_results", sa.Text(), nullable=False, server_default="{}"),
+            sa.Column("created_at", sa.DateTime(), nullable=True),
+            sa.Column("updated_at", sa.DateTime(), nullable=True),
+        )

WESP_REL/migrations/versions/0015_lab_component_nutrient_value.py

@@ -0,0 +1,86 @@
+"""lab_component_nutrient_value: полная матрица показателей (EAV).
+
+Revision ID: lab_component_nutrient_value
+Revises: drop_lab_calculation_run
+Create Date: 2026-06-08
+"""
+
+from __future__ import annotations
+
+import uuid
+
+import sqlalchemy as sa
+from alembic import op
+
+from app.lab.models import LabComponentNutrientValue
+
+revision = "lab_component_nutrient_value"
+down_revision = "drop_lab_calculation_run"
+branch_labels = None
+depends_on = None
+
+# 8 колонок lab_component_nutrients → заголовки FUTTERPLUS
+_SUMMARY_TO_HEADER = {
+    "crude_protein": "Сыр. Протеин",
+    "usp": "уСП",
+    "bra": "БРА",
+    "nel_cattle": "ЧЭЛ- КРС",
+    "oe_cattle": "ОЭ-КРС",
+    "ndf": "Сырая клетч",
+    "structural_fiber": "Структур клетч",
+    "crude_fat": "Сырой жир",
+}
+
+
+def _migrate_summary_to_eav(bind) -> None:
+    insp = sa.inspect(bind)
+    if "lab_component_nutrients" not in insp.get_table_names():
+        return
+    rows = bind.execute(
+        sa.text(
+            """
+            SELECT component_id, crude_protein, usp, bra, nel_cattle,
+                   oe_cattle, ndf, structural_fiber, crude_fat
+            FROM lab_component_nutrients
+            """
+        )
+    ).fetchall()
+    col_order = list(_SUMMARY_TO_HEADER.keys())
+    for row in rows:
+        comp_id = row[0]
+        for i, header in enumerate(_SUMMARY_TO_HEADER.values()):
+            val = row[i + 1]
+            if val is None:
+                continue
+            bind.execute(
+                sa.text(
+                    """
+                    INSERT INTO lab_component_nutrient_value
+                        (id, component_id, nutrient_key, value)
+                    VALUES (:id, :component_id, :nutrient_key, :value)
+                    ON CONFLICT(component_id, nutrient_key) DO UPDATE SET value = excluded.value
+                    """
+                ),
+                {
+                    "id": str(uuid.uuid4()),
+                    "component_id": comp_id,
+                    "nutrient_key": header,
+                    "value": val,
+                },
+            )
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    LabComponentNutrientValue.__table__.create(bind, checkfirst=True)
+    _migrate_summary_to_eav(bind)
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    if "lab_component_nutrient_value" in sa.inspect(bind).get_table_names():
+        op.drop_table("lab_component_nutrient_value")

WESP_REL/migrations/versions/0016_lab_normalize.py

@@ -0,0 +1,377 @@
+"""Normalize lab runtime storage: drop JSON blobs, use relational tables.
+
+Revision ID: lab_normalize
+Revises: lab_component_nutrient_value
+Create Date: 2026-06-08
+"""
+
+from __future__ import annotations
+
+import json
+import uuid
+
+import sqlalchemy as sa
+from alembic import op
+
+from app.lab.models import (
+    LabAnimalProfile,
+    LabProfileNorm,
+    LabRationCalcIndicator,
+    LabRationCalcTotal,
+    LabRationCompoundLine,
+    LabRecipeRation,
+)
+
+
+revision = "lab_normalize"
+down_revision = "lab_component_nutrient_value"
+branch_labels = None
+depends_on = None
+
+
+def _parse_num(value) -> float | None:
+    if value is None or value == "":
+        return None
+    try:
+        n = float(value)
+    except (TypeError, ValueError):
+        return None
+    return None if n != n else n
+
+
+def _norms_from_payload(raw: str | None) -> tuple[float | None, int | None, dict]:
+    if not raw or not str(raw).strip() or str(raw).strip() == "{}":
+        return None, None, {}
+    try:
+        data = json.loads(raw)
+    except (json.JSONDecodeError, TypeError):
+        return None, None, {}
+    if not isinstance(data, dict):
+        return None, None, {}
+    mass = _parse_num(data.get("massKg", data.get("mass_kg")))
+    ext = data.get("externalNo", data.get("external_no"))
+    external_no = int(ext) if ext is not None and str(ext).strip() != "" else None
+    indicators = data.get("indicators")
+    out: dict = {}
+    if isinstance(indicators, dict):
+        for key, bounds in indicators.items():
+            if isinstance(bounds, dict):
+                out[str(key)] = {
+                    "min": _parse_num(bounds.get("min")),
+                    "max": _parse_num(bounds.get("max")),
+                }
+    alias_map = {
+        "dry_matter": ["Сухое Вещество", "Сухое вещество"],
+        "crude_protein": ["Сыр. Протеин"],
+        "usp": ["уСП"],
+        "oe": ["ОЭ-КРС", "    ОЭ-КРС"],
+        "nel": ["ЧЭЛ- КРС", "    ЧЭЛ- КРС"],
+    }
+    for key, aliases in alias_map.items():
+        if key in out:
+            continue
+        for alias in aliases:
+            entry = data.get(alias)
+            if isinstance(entry, dict):
+                out[key] = {
+                    "min": _parse_num(entry.get("min")),
+                    "max": _parse_num(entry.get("max")),
+                }
+                break
+    return mass, external_no, out
+
+
+def _indicator_key(label: str) -> str | None:
+    mapping = {
+        "Сухое вещество": "dry_matter",
+        "СВ — основной корм": "dm_main",
+        "ОЭ — КРС / Дойн": "oe",
+        "ЧЭЛ — КРС / Дойн": "nel",
+        "ЧЭЛ/кг СВ": "nel_per_kg_dm",
+        "Сырой протеин": "crude_protein",
+        "Нер. СП / кг СВ": "rup_per_kg_dm",
+        "Нерастворимый протеин": "insoluble_protein",
+        "уСП": "usp",
+        "% уСП/кг СВ": "usp_pct_dm",
+    }
+    return mapping.get(label)
+
+
+def _migrate_profile_norms(bind) -> None:
+    insp = sa.inspect(bind)
+    if "lab_animal_profile" not in insp.get_table_names():
+        return
+    cols = {c["name"] for c in insp.get_columns("lab_animal_profile")}
+    if "norms_data" not in cols:
+        return
+    rows = bind.execute(sa.text("SELECT id, norms_data FROM lab_animal_profile")).fetchall()
+    for profile_id, raw in rows:
+        mass, external_no, norms = _norms_from_payload(raw)
+        bind.execute(
+            sa.text(
+                "UPDATE lab_animal_profile SET mass_kg = :mass, external_no = :external_no WHERE id = :id"
+            ),
+            {"id": profile_id, "mass": mass, "external_no": external_no},
+        )
+        for indicator_key, bounds in norms.items():
+            min_v = bounds.get("min")
+            max_v = bounds.get("max")
+            if min_v is None and max_v is None:
+                continue
+            bind.execute(
+                sa.text(
+                    """
+                    INSERT INTO lab_profile_norm
+                        (id, profile_id, indicator_key, min_value, max_value)
+                    VALUES (:id, :profile_id, :indicator_key, :min_value, :max_value)
+                    """
+                ),
+                {
+                    "id": str(uuid.uuid4()),
+                    "profile_id": profile_id,
+                    "indicator_key": indicator_key,
+                    "min_value": min_v,
+                    "max_value": max_v,
+                },
+            )
+
+
+def _save_calc(bind, recipe_id: str, result: dict, calculated_at) -> None:
+    engine = str(result.get("engine") or "native")
+    bind.execute(
+        sa.text(
+            "UPDATE lab_recipe_ration SET calc_engine = :engine, calculated_at = :calculated_at WHERE recipe_id = :recipe_id"
+        ),
+        {"engine": engine, "calculated_at": calculated_at, "recipe_id": recipe_id},
+    )
+    for scope, block_key in (("ration", None), ("compound", "compound")):
+        block = result if block_key is None else result.get(block_key) or {}
+        if not isinstance(block, dict):
+            continue
+        for idx, row in enumerate(block.get("totals") or []):
+            bind.execute(
+                sa.text(
+                    """
+                    INSERT INTO lab_ration_calc_total
+                        (id, recipe_id, scope, metric_key, label, value, sort_order)
+                    VALUES (:id, :recipe_id, :scope, :metric_key, :label, :value, :sort_order)
+                    """
+                ),
+                {
+                    "id": str(uuid.uuid4()),
+                    "recipe_id": recipe_id,
+                    "scope": scope,
+                    "metric_key": str(row.get("key") or f"metric_{idx}"),
+                    "label": str(row.get("label") or ""),
+                    "value": _parse_num(row.get("value")),
+                    "sort_order": idx,
+                },
+            )
+        for idx, row in enumerate(block.get("indicators") or []):
+            bind.execute(
+                sa.text(
+                    """
+                    INSERT INTO lab_ration_calc_indicator
+                        (id, recipe_id, scope, indicator_key, label, unit,
+                         min_value, max_value, content, diff, sort_order)
+                    VALUES (:id, :recipe_id, :scope, :indicator_key, :label, :unit,
+                            :min_value, :max_value, :content, :diff, :sort_order)
+                    """
+                ),
+                {
+                    "id": str(uuid.uuid4()),
+                    "recipe_id": recipe_id,
+                    "scope": scope,
+                    "indicator_key": _indicator_key(str(row.get("label") or "")),
+                    "label": str(row.get("label") or ""),
+                    "unit": str(row.get("unit") or ""),
+                    "min_value": _parse_num(row.get("min")),
+                    "max_value": _parse_num(row.get("max")),
+                    "content": _parse_num(row.get("content")),
+                    "diff": _parse_num(row.get("diff")),
+                    "sort_order": idx,
+                },
+            )
+        if scope == "compound":
+            for idx, row in enumerate(block.get("lines") or []):
+                bind.execute(
+                    sa.text(
+                        """
+                        INSERT INTO lab_ration_compound_line
+                            (id, recipe_id, row_index, ingredient_name, daily_kg, share_pct)
+                        VALUES (:id, :recipe_id, :row_index, :ingredient_name, :daily_kg, :share_pct)
+                        """
+                    ),
+                    {
+                        "id": str(uuid.uuid4()),
+                        "recipe_id": recipe_id,
+                        "row_index": idx,
+                        "ingredient_name": row.get("ingredient_name"),
+                        "daily_kg": _parse_num(row.get("daily_kg")),
+                        "share_pct": _parse_num(row.get("share_pct")),
+                    },
+                )
+    for idx, message in enumerate(result.get("errors") or []):
+        text = str(message or "").strip()
+        if not text:
+            continue
+        bind.execute(
+            sa.text(
+                """
+                INSERT INTO lab_ration_calc_error (id, recipe_id, sort_order, message)
+                VALUES (:id, :recipe_id, :sort_order, :message)
+                """
+            ),
+            {
+                "id": str(uuid.uuid4()),
+                "recipe_id": recipe_id,
+                "sort_order": idx,
+                "message": text,
+            },
+        )
+
+
+def _migrate_calc_results(bind) -> None:
+    insp = sa.inspect(bind)
+    if "lab_recipe_ration" not in insp.get_table_names():
+        return
+    cols = {c["name"] for c in insp.get_columns("lab_recipe_ration")}
+    if "ration_results" not in cols:
+        return
+    rows = bind.execute(
+        sa.text(
+            "SELECT recipe_id, params_json, ration_results, compound_results, calculated_at FROM lab_recipe_ration"
+        )
+    ).fetchall()
+    for recipe_id, params_raw, ration_raw, compound_raw, calculated_at in rows:
+        if params_raw:
+            try:
+                params = json.loads(params_raw or "{}")
+            except (json.JSONDecodeError, TypeError):
+                params = {}
+            if isinstance(params, dict):
+                seeded = params.get("seeded_from") or params.get("synced_from")
+                if seeded:
+                    bind.execute(
+                        sa.text(
+                            "UPDATE lab_recipe_ration SET seed_source = :seed WHERE recipe_id = :recipe_id"
+                        ),
+                        {"seed": str(seeded), "recipe_id": recipe_id},
+                    )
+        result: dict = {}
+        if ration_raw:
+            try:
+                parsed = json.loads(ration_raw or "{}")
+                if isinstance(parsed, dict):
+                    result = parsed
+            except (json.JSONDecodeError, TypeError):
+                result = {}
+        if compound_raw:
+            try:
+                compound = json.loads(compound_raw or "{}")
+                if isinstance(compound, dict) and compound:
+                    result["compound"] = compound
+            except (json.JSONDecodeError, TypeError):
+                pass
+        if result:
+            _save_calc(bind, recipe_id, result, calculated_at)
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+
+    if "lab_animal_profile" in insp.get_table_names():
+        cols = {c["name"] for c in insp.get_columns("lab_animal_profile")}
+        if "mass_kg" not in cols:
+            with op.batch_alter_table("lab_animal_profile") as batch:
+                batch.add_column(sa.Column("mass_kg", sa.Float(), nullable=True))
+                batch.add_column(sa.Column("external_no", sa.Integer(), nullable=True))
+
+    if "lab_recipe_ration" in insp.get_table_names():
+        cols = {c["name"] for c in insp.get_columns("lab_recipe_ration")}
+        if "calc_engine" not in cols:
+            with op.batch_alter_table("lab_recipe_ration") as batch:
+                batch.add_column(sa.Column("calc_engine", sa.String(length=20), nullable=True))
+                batch.add_column(sa.Column("seed_source", sa.String(length=32), nullable=True))
+
+    for model in (
+        LabProfileNorm,
+        LabRationCalcTotal,
+        LabRationCalcIndicator,
+        LabRationCompoundLine,
+    ):
+        model.__table__.create(bind, checkfirst=True)
+
+    _migrate_profile_norms(bind)
+    _migrate_calc_results(bind)
+
+    insp = sa.inspect(bind)
+    if "lab_animal_profile" in insp.get_table_names():
+        cols = {c["name"] for c in insp.get_columns("lab_animal_profile")}
+        if "norms_data" in cols:
+            with op.batch_alter_table("lab_animal_profile") as batch:
+                batch.drop_column("norms_data")
+
+    if "lab_recipe_ration" in insp.get_table_names():
+        cols = {c["name"] for c in insp.get_columns("lab_recipe_ration")}
+        with op.batch_alter_table("lab_recipe_ration") as batch:
+            for col in ("params_json", "ration_results", "compound_results"):
+                if col in cols:
+                    batch.drop_column(col)
+
+    if "lab_tab_ration_project" in insp.get_table_names():
+        cols = {c["name"] for c in insp.get_columns("lab_tab_ration_project")}
+        with op.batch_alter_table("lab_tab_ration_project") as batch:
+            for col in ("settings_json", "results_json", "compound_json"):
+                if col in cols:
+                    batch.drop_column(col)
+
+    if "lab_tab_ration_line" in insp.get_table_names():
+        cols = {c["name"] for c in insp.get_columns("lab_tab_ration_line")}
+        if "raw_data_json" in cols:
+            with op.batch_alter_table("lab_tab_ration_line") as batch:
+                batch.drop_column("raw_data_json")
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+
+    if "lab_animal_profile" in insp.get_table_names():
+        cols = {c["name"] for c in insp.get_columns("lab_animal_profile")}
+        if "norms_data" not in cols:
+            with op.batch_alter_table("lab_animal_profile") as batch:
+                batch.add_column(sa.Column("norms_data", sa.Text(), nullable=False, server_default="{}"))
+        for col in ("mass_kg", "external_no"):
+            if col in cols:
+                with op.batch_alter_table("lab_animal_profile") as batch:
+                    batch.drop_column(col)
+
+    if "lab_recipe_ration" in insp.get_table_names():
+        cols = {c["name"] for c in insp.get_columns("lab_recipe_ration")}
+        with op.batch_alter_table("lab_recipe_ration") as batch:
+            for col, default in (
+                ("params_json", "{}"),
+                ("ration_results", "{}"),
+                ("compound_results", "{}"),
+            ):
+                if col not in cols:
+                    batch.add_column(sa.Column(col, sa.Text(), nullable=False, server_default=default))
+            for col in ("calc_engine", "seed_source"):
+                if col in cols:
+                    batch.drop_column(col)
+
+    for table in (
+        "lab_ration_calc_error",
+        "lab_ration_compound_line",
+        "lab_ration_calc_indicator",
+        "lab_ration_calc_total",
+        "lab_profile_norm",
+    ):
+        if table in insp.get_table_names():
+            op.drop_table(table)

WESP_REL/migrations/versions/0017_org_settings_normalize.py

@@ -0,0 +1,108 @@
+"""org_settings: typed columns вместо payload JSON.
+
+Revision ID: org_settings_normalize
+Revises: lab_normalize
+Create Date: 2026-06-08
+"""
+
+from __future__ import annotations
+
+import json
+
+import sqlalchemy as sa
+from alembic import op
+
+from app.services.org_settings import ORG_SETTINGS_FIELDS, DEFAULT_ORG_SETTINGS
+
+
+revision = "org_settings_normalize"
+down_revision = "lab_normalize"
+branch_labels = None
+depends_on = None
+
+
+def _normalize_payload(raw: str | None) -> dict[str, str]:
+    merged = dict(DEFAULT_ORG_SETTINGS)
+    if not raw or not str(raw).strip() or str(raw).strip() == "{}":
+        return merged
+    try:
+        data = json.loads(raw)
+    except (json.JSONDecodeError, TypeError):
+        return merged
+    if not isinstance(data, dict):
+        return merged
+    for field in ORG_SETTINGS_FIELDS:
+        if field in data:
+            merged[field] = str(data[field] or "").strip()
+    return merged
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    if "org_settings" not in insp.get_table_names():
+        from app.services.org_settings import ensure_org_settings_table
+
+        ensure_org_settings_table(bind, import_json=True)
+        return
+
+    cols = {c["name"] for c in insp.get_columns("org_settings")}
+    missing = [field for field in ORG_SETTINGS_FIELDS if field not in cols]
+    if missing:
+        with op.batch_alter_table("org_settings") as batch:
+            for field in missing:
+                default = DEFAULT_ORG_SETTINGS[field]
+                batch.add_column(
+                    sa.Column(field, sa.String(length=300 if field == "organization_name" else 200), nullable=False, server_default=default)
+                )
+
+    if "payload" in cols:
+        rows = bind.execute(sa.text("SELECT id, payload FROM org_settings")).fetchall()
+        for row_id, payload in rows:
+            settings = _normalize_payload(payload)
+            bind.execute(
+                sa.text(
+                    "UPDATE org_settings SET "
+                    + ", ".join(f"{field} = :{field}" for field in ORG_SETTINGS_FIELDS)
+                    + " WHERE id = :id"
+                ),
+                {"id": row_id, **settings},
+            )
+        with op.batch_alter_table("org_settings") as batch:
+            batch.drop_column("payload")
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    if "org_settings" not in insp.get_table_names():
+        return
+    cols = {c["name"] for c in insp.get_columns("org_settings")}
+    if "payload" not in cols:
+        with op.batch_alter_table("org_settings") as batch:
+            batch.add_column(sa.Column("payload", sa.Text(), nullable=False, server_default="{}"))
+        rows = bind.execute(sa.text("SELECT id FROM org_settings")).fetchall()
+        for (row_id,) in rows:
+            row = bind.execute(
+                sa.text(
+                    "SELECT "
+                    + ", ".join(ORG_SETTINGS_FIELDS)
+                    + " FROM org_settings WHERE id = :id"
+                ),
+                {"id": row_id},
+            ).fetchone()
+            if row is None:
+                continue
+            payload = {field: row[idx] for idx, field in enumerate(ORG_SETTINGS_FIELDS)}
+            bind.execute(
+                sa.text("UPDATE org_settings SET payload = :payload WHERE id = :id"),
+                {"id": row_id, "payload": json.dumps(payload, ensure_ascii=False)},
+            )
+    with op.batch_alter_table("org_settings") as batch:
+        for field in ORG_SETTINGS_FIELDS:
+            if field in cols:
+                batch.drop_column(field)

WESP_REL/migrations/versions/0018_drop_lab_component_nutrients.py

@@ -0,0 +1,97 @@
+"""Удаление lab_component_nutrients — только EAV lab_component_nutrient_value.
+
+Revision ID: drop_lab_component_nutrients
+Revises: org_settings_normalize
+Create Date: 2026-06-08
+"""
+
+from __future__ import annotations
+
+import uuid
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "drop_lab_component_nutrients"
+down_revision = "org_settings_normalize"
+branch_labels = None
+depends_on = None
+
+_SUMMARY_TO_HEADER = {
+    "crude_protein": "Сыр. Протеин",
+    "usp": "уСП",
+    "bra": "БРА",
+    "nel_cattle": "ЧЭЛ- КРС",
+    "oe_cattle": "ОЭ-КРС",
+    "ndf": "Сырая клетч",
+    "structural_fiber": "Структур клетч",
+    "crude_fat": "Сырой жир",
+}
+
+
+def _migrate_summary_to_eav(bind) -> None:
+    insp = sa.inspect(bind)
+    if "lab_component_nutrients" not in insp.get_table_names():
+        return
+    if "lab_component_nutrient_value" not in insp.get_table_names():
+        return
+    rows = bind.execute(
+        sa.text(
+            """
+            SELECT component_id, crude_protein, usp, bra, nel_cattle,
+                   oe_cattle, ndf, structural_fiber, crude_fat
+            FROM lab_component_nutrients
+            """
+        )
+    ).fetchall()
+    for row in rows:
+        comp_id = row[0]
+        for i, header in enumerate(_SUMMARY_TO_HEADER.values()):
+            val = row[i + 1]
+            if val is None:
+                continue
+            bind.execute(
+                sa.text(
+                    """
+                    INSERT INTO lab_component_nutrient_value
+                        (id, component_id, nutrient_key, value)
+                    VALUES (:id, :component_id, :nutrient_key, :value)
+                    ON CONFLICT(component_id, nutrient_key) DO NOTHING
+                    """
+                ),
+                {
+                    "id": str(uuid.uuid4()),
+                    "component_id": comp_id,
+                    "nutrient_key": header,
+                    "value": val,
+                },
+            )
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    _migrate_summary_to_eav(bind)
+    insp = sa.inspect(bind)
+    if "lab_component_nutrients" in insp.get_table_names():
+        op.drop_table("lab_component_nutrients")
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    if "lab_component_nutrients" not in sa.inspect(bind).get_table_names():
+        op.create_table(
+            "lab_component_nutrients",
+            sa.Column("component_id", sa.String(length=36), primary_key=True),
+            sa.Column("crude_protein", sa.Float(), nullable=True),
+            sa.Column("usp", sa.Float(), nullable=True),
+            sa.Column("bra", sa.Float(), nullable=True),
+            sa.Column("nel_cattle", sa.Float(), nullable=True),
+            sa.Column("oe_cattle", sa.Float(), nullable=True),
+            sa.Column("ndf", sa.Float(), nullable=True),
+            sa.Column("structural_fiber", sa.Float(), nullable=True),
+            sa.Column("crude_fat", sa.Float(), nullable=True),
+        )

WESP_REL/migrations/versions/0019_lab_animal_profile_milk_yield.py

@@ -0,0 +1,44 @@
+"""Добавить удой (кг/сут) в lab_animal_profile для динамической нормы уСП GfE.
+
+Revision ID: lab_animal_profile_milk_yield
+Revises: drop_lab_component_nutrients
+Create Date: 2026-06-08
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "lab_animal_profile_milk_yield"
+down_revision = "drop_lab_component_nutrients"
+branch_labels = None
+depends_on = None
+
+_TABLE = "lab_animal_profile"
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    if _TABLE not in insp.get_table_names():
+        return
+    cols = {c["name"] for c in insp.get_columns(_TABLE)}
+    if "milk_yield_kg" not in cols:
+        with op.batch_alter_table(_TABLE, schema=None) as batch_op:
+            batch_op.add_column(sa.Column("milk_yield_kg", sa.Float(), nullable=True))
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    if _TABLE not in insp.get_table_names():
+        return
+    cols = {c["name"] for c in insp.get_columns(_TABLE)}
+    if "milk_yield_kg" in cols:
+        with op.batch_alter_table(_TABLE, schema=None) as batch_op:
+            batch_op.drop_column("milk_yield_kg")

WESP_REL/migrations/versions/0020_lab_drop_sync_columns.py

@@ -0,0 +1,85 @@
+"""Drop unused sync columns from lab tables (server-only module).
+
+Revision ID: lab_drop_sync_columns
+Revises: lab_animal_profile_milk_yield
+Create Date: 2026-06-09
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "lab_drop_sync_columns"
+down_revision = "lab_animal_profile_milk_yield"
+branch_labels = None
+depends_on = None
+
+_LAB_TABLES = (
+    "lab_animal_profile",
+    "lab_recipe_ration",
+    "lab_ration_line",
+)
+
+_CUSTOMER_DROP_TABLES = ("lab_customer_address", "lab_customer")
+_CUSTOMER_ID_COLUMNS = (("lab_recipe_ration", "customer_id"),)
+
+_SYNC_COLS = ("sync_timestamp", "sync_status", "content_hash")
+
+
+def _drop_customer_layer(insp: sa.Inspector) -> None:
+    for table, column in _CUSTOMER_ID_COLUMNS:
+        idx = f"ix_{table}_{column}"
+        if table in insp.get_table_names():
+            op.execute(sa.text(f'DROP INDEX IF EXISTS "{idx}"'))
+    for table, column in _CUSTOMER_ID_COLUMNS:
+        if table not in insp.get_table_names():
+            continue
+        cols = {c["name"] for c in insp.get_columns(table)}
+        if column in cols:
+            with op.batch_alter_table(table) as batch:
+                batch.drop_column(column)
+    for table in _CUSTOMER_DROP_TABLES:
+        if table in insp.get_table_names():
+            op.drop_table(table)
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    _drop_customer_layer(insp)
+    insp = sa.inspect(bind)
+    for table in _LAB_TABLES:
+        if table not in insp.get_table_names():
+            continue
+        cols = {c["name"] for c in insp.get_columns(table)}
+        drop = [c for c in _SYNC_COLS if c in cols]
+        if not drop:
+            continue
+        with op.batch_alter_table(table) as batch:
+            for col in drop:
+                batch.drop_column(col)
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    for table in _LAB_TABLES:
+        if table not in insp.get_table_names():
+            continue
+        cols = {c["name"] for c in insp.get_columns(table)}
+        with op.batch_alter_table(table) as batch:
+            if "sync_timestamp" not in cols:
+                batch.add_column(sa.Column("sync_timestamp", sa.DateTime(), nullable=True))
+            if "sync_status" not in cols:
+                batch.add_column(
+                    sa.Column("sync_status", sa.String(length=20), nullable=False, server_default="pending")
+                )
+            if "content_hash" not in cols:
+                batch.add_column(
+                    sa.Column("content_hash", sa.String(length=64), nullable=False, server_default="")
+                )

WESP_REL/migrations/versions/0021_lab_drop_legacy_artifacts.py

@@ -0,0 +1,40 @@
+"""Drop legacy lab tables: tab staging, norm dump, calc errors in DB.
+
+Revision ID: lab_drop_legacy_artifacts
+Revises: lab_drop_sync_columns
+Create Date: 2026-06-09
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "lab_drop_legacy_artifacts"
+down_revision = "lab_drop_sync_columns"
+branch_labels = None
+depends_on = None
+
+_LEGACY_TABLES = (
+    "lab_tab_ration_line",
+    "lab_tab_ration_project",
+    "lab_norm_entry",
+    "lab_ration_calc_error",
+)
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    if bind.dialect.name == "sqlite":
+        op.execute(sa.text("PRAGMA foreign_keys=OFF"))
+    for table in _LEGACY_TABLES:
+        if table in insp.get_table_names():
+            op.drop_table(table)
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return

WESP_REL/migrations/versions/0022_lab_rnb_rename.py

@@ -0,0 +1,44 @@
+"""Rename indicator_key bra → rnb (GfE ruminal nitrogen balance).
+
+Revision ID: lab_rnb_rename
+Revises: lab_drop_legacy_artifacts
+Create Date: 2026-06-09
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "lab_rnb_rename"
+down_revision = "lab_drop_legacy_artifacts"
+branch_labels = None
+depends_on = None
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    bind.execute(
+        sa.text("UPDATE lab_profile_norm SET indicator_key = 'rnb' WHERE indicator_key = 'bra'")
+    )
+    bind.execute(
+        sa.text(
+            "UPDATE lab_ration_calc_indicator SET indicator_key = 'rnb' WHERE indicator_key = 'bra'"
+        )
+    )
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    bind.execute(
+        sa.text("UPDATE lab_profile_norm SET indicator_key = 'bra' WHERE indicator_key = 'rnb'")
+    )
+    bind.execute(
+        sa.text(
+            "UPDATE lab_ration_calc_indicator SET indicator_key = 'bra' WHERE indicator_key = 'rnb'"
+        )
+    )

WESP_REL/migrations/versions/0023_lab_racion_normy.py

@@ -0,0 +1,101 @@
+"""Справочники норм RACION (NORMY_*).
+
+Revision ID: lab_racion_normy
+Revises: lab_rnb_rename
+Create Date: 2026-06-10
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "lab_racion_normy"
+down_revision = "lab_rnb_rename"
+branch_labels = None
+depends_on = None
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+
+    if "lab_animal_profile" in insp.get_table_names():
+        cols = {c["name"] for c in insp.get_columns("lab_animal_profile")}
+        with op.batch_alter_table("lab_animal_profile", schema=None) as batch_op:
+            if "norms_method" not in cols:
+                batch_op.add_column(
+                    sa.Column("norms_method", sa.String(20), nullable=False, server_default="wesp")
+                )
+            if "norms_params_json" not in cols:
+                batch_op.add_column(sa.Column("norms_params_json", sa.Text(), nullable=True))
+
+    if "lab_racion_normy_moskwa" not in insp.get_table_names():
+        op.create_table(
+            "lab_racion_normy_moskwa",
+            sa.Column("id", sa.String(36), primary_key=True),
+            sa.Column("npitv", sa.Integer(), nullable=False),
+            sa.Column("pom", sa.Integer(), nullable=False, server_default="1"),
+            sa.Column("koef", sa.Float(), nullable=True),
+            sa.Column("popr_k_json", sa.Text(), nullable=True),
+            sa.UniqueConstraint("npitv", "pom", name="uq_lab_racion_moskwa_npitv_pom"),
+        )
+        op.create_index("ix_lab_racion_normy_moskwa_npitv", "lab_racion_normy_moskwa", ["npitv"])
+
+    if "lab_racion_normy_moskwa_meta" not in insp.get_table_names():
+        op.create_table(
+            "lab_racion_normy_moskwa_meta",
+            sa.Column("id", sa.String(36), primary_key=True),
+            sa.Column("meta_key", sa.String(32), nullable=False),
+            sa.Column("meta_json", sa.Text(), nullable=True),
+            sa.UniqueConstraint("meta_key", name="uq_lab_racion_moskwa_meta_key"),
+        )
+
+    if "lab_racion_normy_piter" not in insp.get_table_names():
+        op.create_table(
+            "lab_racion_normy_piter",
+            sa.Column("id", sa.String(36), primary_key=True),
+            sa.Column("npitv", sa.Integer(), nullable=False),
+            sa.Column("konc", sa.Float(), nullable=False),
+            sa.Column("udoy", sa.Float(), nullable=False),
+            sa.Column("normy_json", sa.Text(), nullable=True),
+            sa.UniqueConstraint("npitv", "konc", "udoy", name="uq_lab_racion_piter_npitv_konc_udoy"),
+        )
+        op.create_index("ix_lab_racion_normy_piter_npitv", "lab_racion_normy_piter", ["npitv"])
+
+    if "lab_racion_normy_piter_meta" not in insp.get_table_names():
+        op.create_table(
+            "lab_racion_normy_piter_meta",
+            sa.Column("id", sa.String(36), primary_key=True),
+            sa.Column("meta_key", sa.String(32), nullable=False),
+            sa.Column("meta_json", sa.Text(), nullable=True),
+            sa.UniqueConstraint("meta_key", name="uq_lab_racion_piter_meta_key"),
+        )
+
+    if "lab_racion_normy_info" not in insp.get_table_names():
+        op.create_table(
+            "lab_racion_normy_info",
+            sa.Column("id", sa.String(36), primary_key=True),
+            sa.Column("nperem", sa.Integer(), nullable=False),
+            sa.Column("znachenie_json", sa.Text(), nullable=True),
+            sa.UniqueConstraint("nperem", name="uq_lab_racion_normy_info_nperem"),
+        )
+        op.create_index("ix_lab_racion_normy_info_nperem", "lab_racion_normy_info", ["nperem"])
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    for table in (
+        "lab_racion_normy_info",
+        "lab_racion_normy_piter_meta",
+        "lab_racion_normy_piter",
+        "lab_racion_normy_moskwa_meta",
+        "lab_racion_normy_moskwa",
+    ):
+        if table in insp.get_table_names():
+            op.drop_table(table)

WESP_REL/migrations/versions/0024_web_user_lab_access.py

@@ -0,0 +1,44 @@
+"""web_user.lab_access — per-user доступ к модулю Lab.
+
+Revision ID: web_user_lab_access
+Revises: lab_racion_normy
+Create Date: 2026-07-14
+"""
+
+from __future__ import annotations
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "web_user_lab_access"
+down_revision = "lab_racion_normy"
+branch_labels = None
+depends_on = None
+
+
+def upgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    if "web_user" not in insp.get_table_names():
+        return
+    cols = {c["name"] for c in insp.get_columns("web_user")}
+    if "lab_access" not in cols:
+        with op.batch_alter_table("web_user", schema=None) as batch_op:
+            batch_op.add_column(
+                sa.Column("lab_access", sa.Boolean(), nullable=False, server_default=sa.false())
+            )
+
+
+def downgrade(**kw) -> None:
+    if kw.get("tag") == "reports":
+        return
+    bind = op.get_bind()
+    insp = sa.inspect(bind)
+    if "web_user" not in insp.get_table_names():
+        return
+    cols = {c["name"] for c in insp.get_columns("web_user")}
+    if "lab_access" in cols:
+        with op.batch_alter_table("web_user", schema=None) as batch_op:
+            batch_op.drop_column("lab_access")