Source code for litestar_vite.inertia.helpers

import inspect
from collections import defaultdict
from collections.abc import Callable, Coroutine, Generator, Iterable, Mapping
from contextlib import contextmanager
from dataclasses import dataclass
from typing import TYPE_CHECKING, Any, Generic, Literal, TypeGuard, TypeVar, cast, overload

from anyio.from_thread import BlockingPortal, start_blocking_portal
from litestar.exceptions import ImproperlyConfiguredException
from litestar.utils.empty import value_or_default
from litestar.utils.scope.state import ScopeState

from litestar_vite.inertia.types import ScrollPropsConfig

if TYPE_CHECKING:
    from litestar.connection import ASGIConnection

    from litestar_vite.inertia.plugin import InertiaPlugin
T = TypeVar("T")
PropKeyT = TypeVar("PropKeyT", bound=str)
StaticT = TypeVar("StaticT", bound=object)

DEFAULT_DEFERRED_GROUP = "default"


@overload
def lazy(key: str, value_or_callable: "None") -> "StaticProp[str, None]": ...


@overload
def lazy(key: str, value_or_callable: "T") -> "StaticProp[str, T]": ...


@overload
def lazy(key: str, value_or_callable: "Callable[..., None]" = ...) -> "DeferredProp[str, None]": ...


@overload
def lazy(
    key: str, value_or_callable: "Callable[..., Coroutine[Any, Any, None]]" = ...
) -> "DeferredProp[str, None]": ...


@overload
def lazy(
    key: str,
    value_or_callable: "Callable[..., T | Coroutine[Any, Any, T]]" = ...,  # pyright: ignore[reportInvalidTypeVarUse]
) -> "DeferredProp[str, T]": ...


[docs] def lazy( key: str, value_or_callable: "T | Callable[..., Coroutine[Any, Any, None]] | Callable[..., T] | Callable[..., T | Coroutine[Any, Any, T]] | None" = None, ) -> "StaticProp[str, None] | StaticProp[str, T] | DeferredProp[str, T] | DeferredProp[str, None]": """Create a lazy prop only included during partial reloads. Lazy props are excluded from the initial page load and only sent when explicitly requested via partial reload (X-Inertia-Partial-Data header). This optimizes initial page load by deferring non-critical data. There are two use cases for lazy(): **1. Static Value (bandwidth optimization)**: The value is computed eagerly but only sent during partial reloads. Use when the value is cheap to compute but you want to reduce initial payload. >>> lazy("user_count", len(users)) **2. Callable (bandwidth + CPU optimization)**: The callable is only invoked during partial reloads. Use when the value is expensive to compute. >>> lazy("permissions", lambda: Permission.all()) .. warning:: **False Lazy Pitfall** Be careful not to accidentally call the function when passing it. Wrong:: lazy("data", expensive_fn()) Correct:: lazy("data", expensive_fn) This is a Python evaluation order issue, not a framework limitation. Args: key: The key to store the value under in the props dict. value_or_callable: Either a static value (computed eagerly, sent lazily) or a callable (computed and sent lazily). If None, creates a lazy prop with None value. Returns: StaticProp if value_or_callable is not callable, DeferredProp otherwise. Example:: from litestar_vite.inertia import lazy, InertiaResponse @get("/dashboard", component="Dashboard") async def dashboard() -> InertiaResponse: props = { "user": current_user, "user_count": lazy("user_count", 42), "permissions": lazy("permissions", lambda: Permission.all()), "notifications": lazy("notifications", fetch_notifications), } return InertiaResponse(props) See Also: - :func:`defer`: For v2 grouped deferred props loaded after page render - Inertia.js partial reloads: https://inertiajs.com/partial-reloads """ if value_or_callable is None: return StaticProp[str, None](key=key, value=None) if not callable(value_or_callable): return StaticProp[str, T](key=key, value=value_or_callable) return DeferredProp[str, T](key=key, value=cast("Callable[..., T | Coroutine[Any, Any, T]]", value_or_callable))
[docs] def defer( key: str, callback: "Callable[..., T | Coroutine[Any, Any, T]]", group: str = DEFAULT_DEFERRED_GROUP ) -> "DeferredProp[str, T]": """Create a deferred prop with optional grouping (v2 feature). Deferred props are loaded lazily after the initial page render. Props in the same group are fetched together in a single request. Args: key: The key to store the value under. callback: A callable (sync or async) that returns the value. group: The group name for batched loading. Defaults to "default". Returns: A DeferredProp instance. Example:: defer("permissions", lambda: Permission.all()) defer("teams", lambda: Team.all(), group="attributes") defer("projects", lambda: Project.all(), group="attributes") """ return DeferredProp[str, T](key=key, value=callback, group=group)
[docs] @dataclass class PropFilter: """Configuration for prop filtering during partial reloads. Used with ``only()`` and ``except_()`` helpers to explicitly control which props are sent during partial reload requests. Attributes: include: Set of prop keys to include (only send these). exclude: Set of prop keys to exclude (send all except these). """ include: "set[str] | None" = None exclude: "set[str] | None" = None
[docs] def should_include(self, key: str) -> bool: """Return True when a prop key should be included. Returns: True if the prop key should be included, otherwise False. """ if self.exclude is not None: return key not in self.exclude if self.include is not None: return key in self.include return True
[docs] def only(*keys: str) -> PropFilter: """Create a filter that only includes the specified prop keys. Use this to explicitly limit which props are sent during partial reloads. Only the specified props will be included in the response. Args: *keys: The prop keys to include. Returns: A PropFilter configured to include only the specified keys. Example:: from litestar_vite.inertia import only, InertiaResponse @get("/users", component="Users") async def list_users( request: InertiaRequest, user_service: UserService, ) -> InertiaResponse: return InertiaResponse( { "users": user_service.list(), "teams": team_service.list(), "stats": stats_service.get(), }, prop_filter=only("users"), ) Note: This is a server-side helper. The client should use Inertia's ``router.reload({ only: ['users'] })`` for client-initiated filtering. """ return PropFilter(include=set(keys))
[docs] def except_(*keys: str) -> PropFilter: """Create a filter that excludes the specified prop keys. Use this to explicitly exclude certain props during partial reloads. All props except the specified ones will be included in the response. Args: *keys: The prop keys to exclude. Returns: A PropFilter configured to exclude the specified keys. Example:: from litestar_vite.inertia import except_, InertiaResponse @get("/users", component="Users") async def list_users( request: InertiaRequest, user_service: UserService, ) -> InertiaResponse: return InertiaResponse( { "users": user_service.list(), "teams": team_service.list(), "stats": expensive_stats(), }, prop_filter=except_("stats"), ) Note: The function is named ``except_`` with a trailing underscore to avoid conflicting with Python's ``except`` keyword. """ return PropFilter(exclude=set(keys))
[docs] class MergeProp(Generic[PropKeyT, T]): """A wrapper for merge prop configuration (v2 feature). Merge props allow data to be combined with existing props during partial reloads instead of replacing them entirely. """
[docs] def __init__( self, key: "PropKeyT", value: "T", strategy: "Literal['append', 'prepend', 'deep']" = "append", match_on: "str | list[str] | None" = None, ) -> None: """Initialize a MergeProp. Args: key: The prop key. value: The value to merge. strategy: The merge strategy - 'append', 'prepend', or 'deep'. match_on: Optional key(s) to match items on during merge. """ self._key = key self._value = value self._strategy = strategy self._match_on = [match_on] if isinstance(match_on, str) else match_on
@property def key(self) -> "PropKeyT": return self._key @property def value(self) -> "T": return self._value @property def strategy(self) -> "Literal['append', 'prepend', 'deep']": return self._strategy # pyright: ignore[reportReturnType] @property def match_on(self) -> "list[str] | None": return self._match_on
[docs] def merge( key: str, value: "T", strategy: "Literal['append', 'prepend', 'deep']" = "append", match_on: "str | list[str] | None" = None, ) -> "MergeProp[str, T]": """Create a merge prop for combining data during partial reloads (v2 feature). Merge props allow new data to be combined with existing props rather than replacing them entirely. This is useful for infinite scroll, load more buttons, and similar patterns. Note: Prop merging only works during partial reloads. Full page visits will always replace props entirely. Args: key: The prop key. value: The value to merge. strategy: How to merge the data: - 'append': Add new items to the end (default) - 'prepend': Add new items to the beginning - 'deep': Recursively merge nested objects match_on: Optional key(s) to match items on during merge, useful for updating existing items instead of duplicating. Returns: A MergeProp instance. Example:: merge("posts", new_posts) merge("messages", new_messages, strategy="prepend") merge("user_data", updates, strategy="deep") merge("posts", updated_posts, match_on="id") """ return MergeProp[str, T](key=key, value=value, strategy=strategy, match_on=match_on)
[docs] def scroll_props( page_name: str = "page", current_page: int = 1, previous_page: "int | None" = None, next_page: "int | None" = None ) -> "ScrollPropsConfig": """Create scroll props configuration for infinite scroll (v2 feature). Scroll props allow Inertia to manage pagination state for infinite scroll patterns, providing next/previous page information to the client. Args: page_name: The query parameter name for pagination. Defaults to "page". current_page: The current page number. Defaults to 1. previous_page: The previous page number, or None if at first page. next_page: The next page number, or None if at last page. Returns: A ScrollPropsConfig instance for use in InertiaResponse. Example:: from litestar_vite.inertia import scroll_props, InertiaResponse @get("/posts", component="Posts") async def list_posts(page: int = 1) -> InertiaResponse: posts = await Post.paginate(page=page, per_page=20) return InertiaResponse( {"posts": merge("posts", posts.items)}, scroll_props=scroll_props( current_page=page, previous_page=page - 1 if page > 1 else None, next_page=page + 1 if posts.has_more else None, ), ) """ return ScrollPropsConfig( page_name=page_name, current_page=current_page, previous_page=previous_page, next_page=next_page )
[docs] def is_merge_prop(value: "Any") -> "TypeGuard[MergeProp[Any, Any]]": """Check if value is a MergeProp. Args: value: Any value to check Returns: True if value is a MergeProp """ return isinstance(value, MergeProp)
[docs] def extract_merge_props(props: "dict[str, Any]") -> "tuple[list[str], list[str], list[str], dict[str, list[str]]]": """Extract merge props metadata for the Inertia v2 protocol. This extracts all MergeProp instances from the props dict and categorizes them by their merge strategy, returning the appropriate lists for the page response. Args: props: The props dictionary to scan. Returns: A tuple of (merge_props, prepend_props, deep_merge_props, match_props_on) where each list contains the prop keys for that strategy, and match_props_on is a dict mapping prop keys to the keys to match on. Example:: props = { "users": [...], "posts": merge("posts", new_posts), "messages": merge("messages", new_msgs, strategy="prepend"), "data": merge("data", updates, strategy="deep"), "items": merge("items", items, match_on="id"), } merge_props, prepend_props, deep_merge_props, match_props_on = extract_merge_props(props) The returned values then contain: - merge_props: ["posts", "items"] - prepend_props: ["messages"] - deep_merge_props: ["data"] - match_props_on: {"items": ["id"]} """ merge_list: "list[str]" = [] prepend_list: "list[str]" = [] deep_merge_list: "list[str]" = [] match_on_dict: "dict[str, list[str]]" = {} for key, value in props.items(): if is_merge_prop(value): match value.strategy: case "append": merge_list.append(key) case "prepend": prepend_list.append(key) case "deep": deep_merge_list.append(key) case _: pass if value.match_on: match_on_dict[key] = value.match_on return merge_list, prepend_list, deep_merge_list, match_on_dict
[docs] class StaticProp(Generic[PropKeyT, StaticT]): """A wrapper for static property evaluation."""
[docs] def __init__(self, key: "PropKeyT", value: "StaticT") -> None: self._key = key self._result = value
@property def key(self) -> "PropKeyT": return self._key def render(self, portal: "BlockingPortal | None" = None) -> "StaticT": # pyright: ignore return self._result
[docs] class DeferredProp(Generic[PropKeyT, T]): """A wrapper for deferred property evaluation."""
[docs] def __init__( self, key: "PropKeyT", value: "Callable[..., T | Coroutine[Any, Any, T] | None] | None" = None, group: str = DEFAULT_DEFERRED_GROUP, ) -> None: self._key = key self._value = value self._group = group self._evaluated = False self._result: "T | None" = None
@property def group(self) -> str: """The deferred group this prop belongs to. Returns: The deferred group name. """ return self._group @property def key(self) -> "PropKeyT": return self._key @staticmethod @contextmanager def with_portal(portal: "BlockingPortal | None" = None) -> "Generator[BlockingPortal, None, None]": if portal is None: with start_blocking_portal() as p: yield p else: yield portal @staticmethod def _is_awaitable(v: "Callable[..., T | Coroutine[Any, Any, T]]") -> "TypeGuard[Coroutine[Any, Any, T]]": return inspect.iscoroutinefunction(v) def render(self, portal: "BlockingPortal | None" = None) -> "T | None": if self._evaluated: return self._result if self._value is None or not callable(self._value): self._result = self._value self._evaluated = True return self._result if not self._is_awaitable(cast("Callable[..., T]", self._value)): self._result = cast("T", self._value()) self._evaluated = True return self._result with self.with_portal(portal) as p: self._result = p.call(cast("Callable[..., T]", self._value)) self._evaluated = True return self._result
[docs] def is_lazy_prop(value: "Any") -> "TypeGuard[DeferredProp[Any, Any] | StaticProp[Any, Any]]": """Check if value is a deferred property. Args: value: Any value to check Returns: True if value is a deferred property """ return isinstance(value, (DeferredProp, StaticProp))
[docs] def is_deferred_prop(value: "Any") -> "TypeGuard[DeferredProp[Any, Any]]": """Check if value is specifically a DeferredProp (not StaticProp). Args: value: Any value to check Returns: True if value is a DeferredProp """ return isinstance(value, DeferredProp)
[docs] def extract_deferred_props(props: "dict[str, Any]") -> "dict[str, list[str]]": """Extract deferred props metadata for the Inertia v2 protocol. This extracts all DeferredProp instances from the props dict and groups them by their group name, returning a dict mapping group -> list of prop keys. Args: props: The props dictionary to scan. Returns: A dict mapping group names to lists of prop keys in that group. Empty dict if no deferred props found. Example:: props = { "users": [...], "teams": defer("teams", get_teams, group="attributes"), "projects": defer("projects", get_projects, group="attributes"), "permissions": defer("permissions", get_permissions), } result = extract_deferred_props(props) The result is {"default": ["permissions"], "attributes": ["teams", "projects"]}. """ groups: "dict[str, list[str]]" = {} for key, value in props.items(): if is_deferred_prop(value): group = value.group if group not in groups: groups[group] = [] groups[group].append(key) return groups
[docs] def should_render( value: "Any", partial_data: "set[str] | None" = None, partial_except: "set[str] | None" = None, key: "str | None" = None, ) -> "bool": """Check if value should be rendered based on partial reload filtering. For v2 protocol, partial_except takes precedence over partial_data. When a key is provided, filtering applies to all props (not just lazy props). Args: value: Any value to check partial_data: Optional set of keys to include (X-Inertia-Partial-Data) partial_except: Optional set of keys to exclude (X-Inertia-Partial-Except, v2) key: Optional key name for this prop (enables key-based filtering for all props) Returns: bool: True if value should be rendered """ if is_lazy_prop(value): if partial_except: return value.key not in partial_except if partial_data: return value.key in partial_data return False if key is not None: if partial_except: return key not in partial_except if partial_data: return key in partial_data return True
[docs] def is_or_contains_lazy_prop(value: "Any") -> "bool": """Check if value is or contains a deferred property. Args: value: Any value to check Returns: True if value is or contains a deferred property """ if is_lazy_prop(value): return True if isinstance(value, str): return False if isinstance(value, Mapping): return any(is_or_contains_lazy_prop(v) for v in cast("Mapping[str, Any]", value).values()) if isinstance(value, Iterable): return any(is_or_contains_lazy_prop(v) for v in cast("Iterable[Any]", value)) return False
[docs] def lazy_render( value: "T", partial_data: "set[str] | None" = None, portal: "BlockingPortal | None" = None, partial_except: "set[str] | None" = None, ) -> "T": """Filter deferred properties from the value based on partial data. For v2 protocol, partial_except takes precedence over partial_data. Args: value: The value to filter partial_data: Keys to include (X-Inertia-Partial-Data) portal: Optional portal to use for async rendering partial_except: Keys to exclude (X-Inertia-Partial-Except, v2) Returns: The filtered value """ if isinstance(value, str): return cast("T", value) if isinstance(value, Mapping): return cast( "T", { k: lazy_render(v, partial_data, portal, partial_except) for k, v in cast("Mapping[str, Any]", value).items() if should_render(v, partial_data, partial_except) }, ) if isinstance(value, list): return cast( "T", [ lazy_render(v, partial_data, portal, partial_except) for v in cast("Iterable[Any]", value) if should_render(v, partial_data, partial_except) ], ) if isinstance(value, tuple): return cast( "T", tuple( lazy_render(v, partial_data, portal, partial_except) for v in cast("Iterable[Any]", value) if should_render(v, partial_data, partial_except) ), ) if is_lazy_prop(value) and should_render(value, partial_data, partial_except): return cast("T", value.render(portal)) return cast("T", value)
[docs] def get_shared_props( request: "ASGIConnection[Any, Any, Any, Any]", partial_data: "set[str] | None" = None, partial_except: "set[str] | None" = None, ) -> "dict[str, Any]": """Return shared session props for a request. For v2 protocol, partial_except takes precedence over partial_data. Args: request: The ASGI connection. partial_data: Optional set of keys to include (X-Inertia-Partial-Data). partial_except: Optional set of keys to exclude (X-Inertia-Partial-Except, v2). Returns: The shared props. Note: Be sure to call this before `self.create_template_context` if you would like to include the `flash` message details. """ props: "dict[str, Any]" = {} flash: "dict[str, list[str]]" = defaultdict(list) errors: "dict[str, Any]" = {} error_bag = request.headers.get("X-Inertia-Error-Bag", None) try: errors = request.session.pop("_errors", {}) shared_props = cast("dict[str,Any]", request.session.pop("_shared", {})) inertia_plugin = cast("InertiaPlugin", request.app.plugins.get("InertiaPlugin")) for key, value in shared_props.items(): if not should_render(value, partial_data, partial_except, key=key): continue if is_lazy_prop(value): props[key] = value.render(inertia_plugin.portal) else: props[key] = value for message in cast("list[dict[str,Any]]", request.session.pop("_messages", [])): flash[message["category"]].append(message["message"]) for key, value in inertia_plugin.config.extra_static_page_props.items(): if should_render(value, partial_data, partial_except, key=key): props[key] = value for session_prop in inertia_plugin.config.extra_session_page_props: if ( session_prop not in props and session_prop in request.session and should_render(None, partial_data, partial_except, key=session_prop) ): props[session_prop] = request.session.get(session_prop) except (AttributeError, ImproperlyConfiguredException): msg = "Unable to generate all shared props. A valid session was not found for this request." request.logger.warning(msg) props["flash"] = flash props["errors"] = {error_bag: errors} if error_bag is not None else errors props["csrf_token"] = value_or_default(ScopeState.from_scope(request.scope).csrf_token, "") return props
[docs] def share(connection: "ASGIConnection[Any, Any, Any, Any]", key: "str", value: "Any") -> "None": """Share a value in the session. Args: connection: The ASGI connection. key: The key to store the value under. value: The value to store. """ try: connection.session.setdefault("_shared", {}).update({key: value}) except (AttributeError, ImproperlyConfiguredException): msg = "Unable to set `share` session state. A valid session was not found for this request." connection.logger.warning(msg)
[docs] def error(connection: "ASGIConnection[Any, Any, Any, Any]", key: "str", message: "str") -> "None": """Set an error message in the session. Args: connection: The ASGI connection. key: The key to store the error under. message: The error message. """ try: connection.session.setdefault("_errors", {}).update({key: message}) except (AttributeError, ImproperlyConfiguredException): msg = "Unable to set `error` session state. A valid session was not found for this request." connection.logger.warning(msg)
[docs] def flash(connection: "ASGIConnection[Any, Any, Any, Any]", message: "str", category: "str" = "info") -> "None": """Add a flash message to the session. Flash messages are stored in the session and passed to the frontend via the `flash` prop in every Inertia response. They're automatically cleared after being displayed (pop semantics). This function works without requiring Litestar's FlashPlugin or any Jinja2 template configuration, making it ideal for SPA-only Inertia applications. Args: connection: The ASGI connection (Request or WebSocket). message: The message text to display. category: The message category (e.g., "success", "error", "warning", "info"). Defaults to "info". Example:: from litestar_vite.inertia import flash @post("/create") async def create_item(request: Request) -> InertiaResponse: flash(request, "Item created successfully!", "success") return InertiaResponse(...) """ try: messages = connection.session.setdefault("_messages", []) messages.append({"category": category, "message": message}) except (AttributeError, ImproperlyConfiguredException): msg = "Unable to set flash message. A valid session was not found for this request." connection.logger.warning(msg)
[docs] def clear_history(connection: "ASGIConnection[Any, Any, Any, Any]") -> None: """Mark that the next response should clear client history encryption keys. This function sets a session flag that will be consumed by the next InertiaResponse, causing it to include `clearHistory: true` in the page object. The Inertia client will then regenerate its encryption key, invalidating all previously encrypted history entries. This should typically be called during logout to ensure sensitive data cannot be recovered from browser history after a user logs out. Args: connection: The ASGI connection (Request). Note: Requires session middleware to be configured. See: https://inertiajs.com/history-encryption Example:: from litestar_vite.inertia import clear_history @post("/logout") async def logout(request: Request) -> InertiaRedirect: request.session.clear() clear_history(request) return InertiaRedirect(request, redirect_to="/login") """ try: connection.session["_inertia_clear_history"] = True except (AttributeError, ImproperlyConfiguredException): msg = "Unable to set clear_history flag. A valid session was not found for this request." connection.logger.warning(msg)
[docs] def is_pagination_container(value: "Any") -> bool: """Check if a value is a pagination container. Detects common pagination types from Litestar and Advanced Alchemy: - litestar.pagination.OffsetPagination (items, limit, offset, total) - litestar.pagination.ClassicPagination (items, page_size, current_page, total_pages) - advanced_alchemy.service.OffsetPagination Also supports any object with an `items` attribute and pagination metadata. Args: value: The value to check. Returns: True if value appears to be a pagination container. """ if value is None: return False try: _ = value.items except AttributeError: return False has_offset_style = _has_offset_pagination_attrs(value) has_classic_style = _has_classic_pagination_attrs(value) return has_offset_style or has_classic_style
[docs] def extract_pagination_scroll_props(value: "Any", page_param: str = "page") -> "tuple[Any, ScrollPropsConfig | None]": """Extract items and scroll props from a pagination container. For OffsetPagination, calculates page numbers from limit/offset/total. For ClassicPagination, uses current_page/total_pages directly. Args: value: A pagination container (OffsetPagination, ClassicPagination, etc.). page_param: The query parameter name for pagination (default: "page"). Returns: A tuple of (items, scroll_props) where scroll_props is None if value is not a pagination container. Example:: items, scroll = extract_pagination_scroll_props(pagination) For OffsetPagination with limit=10, offset=20, total=50 the resulting scroll props are: ScrollPropsConfig(current_page=3, previous_page=2, next_page=4). """ if not is_pagination_container(value): return value, None items = value.items if meta := _extract_offset_pagination_meta(value): current_page, previous_page, next_page = meta scroll_props = ScrollPropsConfig( page_name=page_param, current_page=current_page, previous_page=previous_page, next_page=next_page ) return items, scroll_props if meta := _extract_classic_pagination_meta(value): current_page, previous_page, next_page = meta scroll_props = ScrollPropsConfig( page_name=page_param, current_page=current_page, previous_page=previous_page, next_page=next_page ) return items, scroll_props return items, None
PAGINATION_ATTRS: tuple[tuple[str, str], ...] = ( ("total", "total"), ("limit", "limit"), ("offset", "offset"), ("page_size", "pageSize"), ("current_page", "currentPage"), ("total_pages", "totalPages"), ("per_page", "perPage"), ("last_page", "lastPage"), ("has_more", "hasMore"), ("has_next", "hasNext"), ("has_previous", "hasPrevious"), ("next_cursor", "nextCursor"), ("previous_cursor", "previousCursor"), )
[docs] def pagination_to_dict(value: "Any") -> dict[str, Any]: """Convert a pagination container to a dict with items and all metadata. Dynamically extracts known pagination attributes from any pagination container class. This supports custom pagination implementations as long as they have an ``items`` attribute and standard pagination metadata. The function checks for common pagination attributes like ``total``, ``limit``, ``offset`` (for offset pagination), ``page_size``, ``current_page``, ``total_pages`` (for classic pagination), and cursor-based attributes. Any found attributes are included in the result dict with camelCase keys. Args: value: A pagination container with ``items`` and metadata attributes. Returns: A dict with ``items`` and any found pagination metadata (camelCase keys). Example:: from litestar.pagination import OffsetPagination pagination = OffsetPagination(items=[1, 2, 3], limit=10, offset=0, total=50) result = pagination_to_dict(pagination) The result contains {"items": [1, 2, 3], "total": 50, "limit": 10, "offset": 0}. Note: This function is used internally by InertiaResponse to preserve pagination metadata when returning pagination containers from routes. """ result: dict[str, Any] = {"items": value.items} for attr, camel_attr in PAGINATION_ATTRS: try: attr_value = value.__getattribute__(attr) except AttributeError: continue result[camel_attr] = attr_value return result
def _has_offset_pagination_attrs(value: Any) -> bool: try: _ = value.limit _ = value.offset _ = value.total except AttributeError: return False return True def _has_classic_pagination_attrs(value: Any) -> bool: try: _ = value.current_page _ = value.total_pages except AttributeError: return False return True def _extract_offset_pagination_meta(value: Any) -> tuple[int, int | None, int | None] | None: try: limit = value.limit offset = value.offset total = value.total except AttributeError: return None if not (isinstance(limit, int) and isinstance(offset, int) and isinstance(total, int)): return None if limit > 0: current_page = (offset // limit) + 1 total_pages = (total + limit - 1) // limit else: current_page = 1 total_pages = 1 previous_page = current_page - 1 if current_page > 1 else None next_page = current_page + 1 if current_page < total_pages else None return current_page, previous_page, next_page def _extract_classic_pagination_meta(value: Any) -> tuple[int, int | None, int | None] | None: try: current_page = value.current_page total_pages = value.total_pages except AttributeError: return None if not (isinstance(current_page, int) and isinstance(total_pages, int)): return None previous_page = current_page - 1 if current_page > 1 else None next_page = current_page + 1 if current_page < total_pages else None return current_page, previous_page, next_page