rich-metadata 0.1.4

A Rich-based TUI toolkit for building metadata browsers.

rich-metadata

A Rich-based TUI toolkit for building interactive metadata browsers.

Define your entities declaratively, wire up your API, and get an interactive terminal browser with pagination, navigation, lazy loading, and image support.

Install

pip install rich-metadata

Quick start

from rich_metadata import (
    BaseNavigator,
    DisplayEngine,
    EntityDef,
    HeaderField,
    HeaderLink,
    SectionDef,
    SummaryField,
    TableColumn,
)

# 1. Define your entities
book_def = EntityDef(
    type_name="book",
    summary=[
        SummaryField(key="title", style="bold"),
        SummaryField(prefix="by ", key="author"),
        SummaryField(key="year", style="dim"),
    ],
    header_fields=[
        HeaderField("Author", key="author"),
        HeaderField("Year", key="year"),
        HeaderField("Genre", key="genre"),
        HeaderField("Pages", key="pages"),
        HeaderField("Publisher", key="publisher"),
    ],
    sections=[
        SectionDef(
            "chapters",
            navigable=True,
            columns=[
                TableColumn("#", "number", width=4),
                TableColumn("Title", "title", style="bold"),
                TableColumn("Pages", "pages"),
            ],
        ),
        SectionDef("description", lazy=True),
    ],
    header_links=[
        HeaderLink("Author: {author}", "author", ref_key="author_url"),
    ],
    footer=["url"],
)

# 2. Create a display engine and register definitions
engine = DisplayEngine()
engine.register(book_def)

# 3. Use the engine directly
entity = {"_type": "book", "title": "Dune", "author": "Frank Herbert", "year": "1965"}
engine.details(entity)    # render header + all sections
engine.summary(entity)    # one-line summary
engine.header(entity)     # header panel with image

# 4. Or wire up a navigator for interactive browsing
class BookAPI:
    def get(self, ref: str) -> dict:
        ...  # fetch entity by URL/ID, return dict with "_type" key

    def search(self, query: str) -> list[dict]:
        ...  # return list of entity dicts

navigator = BaseNavigator(
    engine,
    apis={"book": BookAPI(), "author": AuthorAPI()},
    entity_ref_key="url",
    lazy_fetchers={
        ("book", "description"): lambda api, entity: api.fetch_description(entity["id"]),
    },
)
navigator.navigate(entity)  # interactive section menu
navigator.browse(fetch_page=my_search_fn)  # paginated results

Core concepts

Entity dicts

Entities are plain Python dicts with a _type key for routing:

{"_type": "book", "title": "Dune", "author": "Frank Herbert", "year": "1965"}

EntityDef

Declares how an entity type is displayed. Each EntityDef configures:

Field	Purpose
type_name	Entity type identifier (matches _type in dicts)
summary	One-line display fields (SummaryField list)
header_fields	Key-value pairs in the detail panel (HeaderField list)
header_image_key	Dict key holding image bytes for the header panel
header_title	Custom title callable (dict) -> str
panel_border_style	Rich style for the header panel border
sections	Expandable content sections (SectionDef list)
header_links	Navigable links shown in the section menu (HeaderLink list)
footer	Keys (strings) or callables for lines below the panel

SectionDef

Defines a content section. The rendering mode is auto-detected:

• Has columns -> table (if data is a list, rows are flat; if dict[str, list], rows are grouped with headers)
• Has custom_render -> custom rendering function
• Neither -> text panel

Key options: navigable (items can be drilled into), lazy (fetched on demand), duration_key (sums and shows total duration).

SummaryField

One segment of a one-line entity summary. Supports style, prefix (text before the value), fallback (shown when key is missing), and transform (receives value if key is set, or the whole entity dict if not).

HeaderField

A labeled row in the detail panel. Either reads from key directly, or computes via transform (receives value if key is set, or the whole entity dict if not).

TableColumn

A column in a table section. Supports style, justify, width, and transform.

HeaderLink

A navigable link shown in the section menu (e.g., "Author: Frank Herbert ->"). Uses ref_key to read a URL/ID from the entity dict, or ref_fn(entity) -> str | None for computed refs.

DisplayEngine

The rendering engine. Key methods:

engine = DisplayEngine()              # uses default Rich console
engine = DisplayEngine(my_console)    # custom console

engine.register(entity_def)           # register an EntityDef
engine.summary(entity)                # one-line summary
engine.header(entity)                 # detail panel with optional image
engine.section(entity, "chapters")    # render a single section
engine.details(entity)                # header + all non-lazy sections
engine.select_from_list(items)        # numbered selection prompt

BaseNavigator

Interactive browser with pagination, back-navigation, and lazy fetching.

navigator = BaseNavigator(
    engine,
    apis={"book": book_api, "author": author_api},
    entity_ref_key="url",
    lazy_fetchers={
        ("book", "description"): lambda api, entity: api.fetch_desc(entity["id"]),
    },
)

Parameter	Purpose
apis	{type: api} -- each API must have a .get(ref) method
entity_ref_key	Key to extract the navigable ref from item dicts (default: "url")
lazy_fetchers	{(type, section): callable(api, entity) -> data} for lazy sections

Key methods:

• navigate(entity) -- Interactive loop: shows header, section menu, lazy fetching, header link navigation, and back-navigation.
• search_and_navigate(query, types) -- Search, select from results, and navigate. Re-shows the results list on back.
• browse(fetch_page=..., ...) -- Paginated results with selection. fetch_page(start, count) returns (results, total).
• browse_sources(sources) -- Pick from named browsable sources, then browse the selected one.

Items with _type but no ref (no url or whatever entity_ref_key is) are treated as inline entities -- navigated directly without fetching.

CLI helpers

Shared CLI utilities:

from rich_metadata import (
    configure_logging,     # loguru setup (debug if verbose, else warnings)
    resolve_entity_type,   # extract (type, query) from parsed args
    strip_internal_keys,   # remove _prefixed keys for JSON output
    list_fetcher,          # wrap a list into a fetch_page callable for browse()
    page_fetcher,          # adapt page-number APIs to browse()'s offset interface
    parse_date,            # parse 'YYYY-MM-DD' string to date
    parse_date_args,       # parse --from/--to argparse flags into dates
    months_in_range,       # list of 'YYYY-MM' strings covering a date range
)

list_fetcher and page_fetcher are adapters for BaseNavigator.browse():

# Wrap a pre-fetched list
navigator.browse(fetch_page=list_fetcher(my_items))

# Adapt a page-number API (fetch(page) -> (results, has_more))
navigator.browse(fetch_page=page_fetcher(api.search, first_page=initial_results))

Image support

Terminal image rendering for iTerm2 and Kitty:

from rich_metadata import get_image_escape, show_image_beside

# Get raw escape sequence for image bytes
escape = get_image_escape(image_bytes, width=20, height=10)

# Show an image beside a Rich renderable
show_image_beside(console, image_bytes, my_panel, img_width=20)

Duration helpers

from rich_metadata import parse_duration, format_duration

parse_duration("3:45")      # 225 (seconds)
parse_duration("1:02:30")   # 3750
format_duration(225)         # "3:45"
format_duration(3750)        # "1:02:30"

License

MIT