# backend/src/media_library_viewer_api/domain
dir: backend/src/media_library_viewer_api/domain

index: backend/src/media_library_viewer_api/domain/.pi-map.index.md

## role
Domain layer providing data normalization and transformation helpers for Jellyfin media data and dashboard summaries.
## files
- __init__.py | Swaps the position of two tmux panes within a window or between windows | dep: tmux, sh
- dashboard.py | Provides domain helper functions for building dashboard data, specifically normalizing Jellyfin session activity rows and computing backup job summaries. | exp: func:_map_sessions_to_activity_rows(sessions: list[dict[str, Any]]) → list[dict[str, Any]], call:session.get, call:bool, call:item.get, call:play_state.get, call:transcoding.get, call:transcode_type.append, call:results.append, call:", ".join, func:build_backup_dashboard_summary(store: SettingsStore) → BackupDashboardSummary, call:store.list_backup_jobs, call:len, call:int, call:time.time, call:store.list_backup_runs, call:recent_runs.append, call:sum, call:store.list_backup_alerts, call:failed_runs.append, call:max, call:BackupDashboardSummary, call:round | dep: time, typing, media_library_viewer_api.models.backups, media_library_viewer_api.services.settings_store
- media.py | Flattens inconsistent Jellyfin API JSON into normalized dictionaries for SQLite indexing and frontend display. | exp: func:first_media_source(item: dict[str, Any]) → dict[str, Any], call:item.get, func:media_streams(item: dict[str, Any], stream_type) → list[dict[str, Any]], call:item.get, call:streams.extend, call:source.get, call:str(stream.get("Type") or stream.get("codec_type") or "").lower, call:stream.get, call:stream_type.lower, func:stream_value(stream: dict[str, Any], *keys: str) → Any, func:is_hdr_item(item: dict[str, Any]) → bool, call:media_streams, call:stream_value, call:" ".join, call:str(value).lower, call:any, func:format_date_added(value: str | None) → str, call:pd.to_datetime(value).strftime, call:str, func:timestamp_date_added(value: str | None) → int | None, call:int, call:pd.to_datetime(value).timestamp, func:format_rate_bits_decimal(bits_per_second: float | int | str | None) → str, call:float, call:str, func:normalize_media_item(item: dict[str, Any], library_id, library_name) → dict[str, Any], call:first_media_source, call:media_streams, call:source.get, call:item.get, call:stream_value, call:is_hdr_item, call:int, call:ticks_to_minutes, call:human_size, call:format_rate_bits_decimal, call:video.get, call:format_date_added, call:timestamp_date_added, func:display_media_row(row: dict[str, Any]) → dict[str, Any], call:row.get, call:human_size, call:format_rate_bits_decimal | dep: typing, media_library_viewer_api.utils, pandas
## arch
Stateless functional modules that transform inconsistent upstream API JSON into normalized dictionaries for persistence and display.
## tags
media, backup, call:item.get, call:str, date, added, dashboard, call:store.list
## symbols
- _map_sessions_to_activity_rows
- build_backup_dashboard_summary
- first_media_source
- media_streams
- stream_value
- is_hdr_item
- format_date_added
- timestamp_date_added
## workflows
- change domain behavior
  read: __init__.py, dashboard.py, media.py
## dirty
-
