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Replace the DB-backed inventory module with a config-only design and build out food-storage tooling around it. Inventory (config-only, no database) - Each inventory is a YAML file at config/inventory/<slug>.yaml, loaded once into memory and the single source of truth. New reusable MultiFileConfig (wrolpi/common.py) manages a directory of per-entity files. - Inventory types (food/fuel/tool) seed a customizable field schema (text/number/quantity/date/select/location/calories). Unit math/aggregation moved to the frontend (mathjs); Pint dropped from the backend. - Minimal API: GET / (all inventories full), POST /, PUT /<slug> (whole- inventory save with version-based optimistic concurrency; 404 for missing), DELETE. Legacy inventories.yaml / old tables migrate to per-inventory files (pound->lb), and an alembic migration drops the tables. Frontend - New app/src/components/inventory/ package: spreadsheet-style table with Tab/Enter keyboard entry, sortable columns, expired-row highlighting, customizable field editor, and pooled cross-inventory location autocomplete. - A single useInventories store loads everything once and persists whole inventories optimistically; list/items/summary/locations derive client-side. - Summary groups items (default by Category), totals size x count, shows a calories column, and embeds a ration estimate (how long the stock lasts). Food catalog - Shared, editable catalog (config/inventory/catalog.yaml) seeded from catalog_defaults.yaml (~60 generic items, total calories per package) with merge-keep-edits + tombstones. GET/PUT /api/inventory/catalog, a management modal, and entry-row pre-fill of category/size/calories from a name match. Calculators - Generic Food Storage planner (like the Water calculator): household + editable per-person/year amounts -> total to store over a chosen duration, with women/children weighted by DGA calorie shares and an imperial/metric toggle. Also fixes ConfigFile.save() to accept nested file_names. Backend pytest and frontend jest suites updated/added throughout; alembic check clean. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
90 lines
2.7 KiB
Python
90 lines
2.7 KiB
Python
import os
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from logging.config import fileConfig
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from alembic import context
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from sqlalchemy import engine_from_config
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from sqlalchemy import pool
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# this is the Alembic Config object, which provides
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# access to the values within the .ini file in use.
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config = context.config
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# Interpret the config file for Python logging.
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# This line sets up loggers basically.
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fileConfig(config.config_file_name)
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# add your model's MetaData object here
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# for 'autogenerate' support
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from wrolpi.common import Base
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# Import all models so they are registered with the Base metadata
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from wrolpi.files.models import FileGroup, Directory # noqa: F401
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from modules.docs.models import Doc # noqa: F401
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from wrolpi.tags import Tag # noqa: F401
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from wrolpi.flags import WROLPiFlag # noqa: F401
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from wrolpi.downloader import Download # noqa: F401
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from wrolpi.collections.models import Collection, CollectionItem # noqa: F401
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from modules.videos.models import Video, Channel # noqa: F401
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from modules.archive.models import Archive # noqa: F401
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from modules.zim.models import Zim, TagZimEntry, ZimSubscription # noqa: F401
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target_metadata = Base.metadata
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# other values from the config, defined by the needs of env.py,
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# can be acquired:
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# my_important_option = config.get_main_option("my_important_option")
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# ... etc.
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def run_migrations_offline():
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"""Run migrations in 'offline' mode.
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This configures the context with just a URL
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and not an Engine, though an Engine is acceptable
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here as well. By skipping the Engine creation
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we don't even need a DBAPI to be available.
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Calls to context.execute() here emit the given string to the
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script output.
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"""
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url = config.get_main_option("sqlalchemy.url")
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context.configure(
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url=url,
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target_metadata=target_metadata,
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literal_binds=True,
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dialect_opts={"paramstyle": "named"},
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)
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with context.begin_transaction():
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context.run_migrations()
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def run_migrations_online():
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"""Run migrations in 'online' mode.
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In this scenario we need to create an Engine
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and associate a connection with the context.
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"""
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connectable = engine_from_config(
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config.get_section(config.config_ini_section),
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prefix="sqlalchemy.",
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poolclass=pool.NullPool,
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)
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with connectable.connect() as connection:
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if not os.environ.get('DOCKER', '').lower().startswith('t'):
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# Set role when not in a docker container
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connection.execute("SET ROLE 'wrolpi'")
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context.configure(
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connection=connection, target_metadata=target_metadata
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)
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with context.begin_transaction():
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context.run_migrations()
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if context.is_offline_mode():
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run_migrations_offline()
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else:
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run_migrations_online()
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