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12 Commits
v4.2.9.dev
...
psyche/boa
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3cd836efde | ||
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dca5a2ce26 | ||
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9d3a72fff3 | ||
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c586d65a54 | ||
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25107e427c | ||
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a30d143c5a | ||
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a6f1148676 | ||
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2843a6a227 | ||
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0484f458b6 | ||
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c05f97d8ca | ||
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a95aa6cc16 | ||
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c74b9a40af |
@@ -5,7 +5,7 @@ from fastapi.routing import APIRouter
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from pydantic import BaseModel, Field
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from invokeai.app.api.dependencies import ApiDependencies
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from invokeai.app.services.board_records.board_records_common import BoardChanges
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from invokeai.app.services.board_records.board_records_common import BoardChanges, UncategorizedImageCounts
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from invokeai.app.services.boards.boards_common import BoardDTO
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from invokeai.app.services.shared.pagination import OffsetPaginatedResults
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@@ -146,3 +146,14 @@ async def list_all_board_image_names(
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board_id,
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)
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return image_names
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@boards_router.get(
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"/uncategorized/counts",
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operation_id="get_uncategorized_image_counts",
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response_model=UncategorizedImageCounts,
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)
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async def get_uncategorized_image_counts() -> UncategorizedImageCounts:
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"""Gets count of images and assets for uncategorized images (images with no board assocation)"""
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return ApiDependencies.invoker.services.board_records.get_uncategorized_image_counts()
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@@ -1,6 +1,6 @@
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from abc import ABC, abstractmethod
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from invokeai.app.services.board_records.board_records_common import BoardChanges, BoardRecord
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from invokeai.app.services.board_records.board_records_common import BoardChanges, BoardRecord, UncategorizedImageCounts
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from invokeai.app.services.shared.pagination import OffsetPaginatedResults
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@@ -48,3 +48,8 @@ class BoardRecordStorageBase(ABC):
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def get_all(self, include_archived: bool = False) -> list[BoardRecord]:
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"""Gets all board records."""
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pass
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@abstractmethod
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def get_uncategorized_image_counts(self) -> UncategorizedImageCounts:
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"""Gets count of images and assets for uncategorized images (images with no board assocation)."""
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pass
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@@ -1,5 +1,5 @@
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from datetime import datetime
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from typing import Optional, Union
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from typing import Any, Optional, Union
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from pydantic import BaseModel, Field
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@@ -26,21 +26,25 @@ class BoardRecord(BaseModelExcludeNull):
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"""Whether or not the board is archived."""
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is_private: Optional[bool] = Field(default=None, description="Whether the board is private.")
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"""Whether the board is private."""
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image_count: int = Field(description="The number of images in the board.")
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asset_count: int = Field(description="The number of assets in the board.")
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def deserialize_board_record(board_dict: dict) -> BoardRecord:
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def deserialize_board_record(board_dict: dict[str, Any]) -> BoardRecord:
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"""Deserializes a board record."""
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# Retrieve all the values, setting "reasonable" defaults if they are not present.
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board_id = board_dict.get("board_id", "unknown")
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board_name = board_dict.get("board_name", "unknown")
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cover_image_name = board_dict.get("cover_image_name", "unknown")
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cover_image_name = board_dict.get("cover_image_name", None)
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created_at = board_dict.get("created_at", get_iso_timestamp())
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updated_at = board_dict.get("updated_at", get_iso_timestamp())
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deleted_at = board_dict.get("deleted_at", get_iso_timestamp())
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archived = board_dict.get("archived", False)
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is_private = board_dict.get("is_private", False)
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image_count = board_dict.get("image_count", 0)
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asset_count = board_dict.get("asset_count", 0)
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return BoardRecord(
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board_id=board_id,
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@@ -51,6 +55,8 @@ def deserialize_board_record(board_dict: dict) -> BoardRecord:
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deleted_at=deleted_at,
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archived=archived,
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is_private=is_private,
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image_count=image_count,
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asset_count=asset_count,
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)
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@@ -63,19 +69,24 @@ class BoardChanges(BaseModel, extra="forbid"):
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class BoardRecordNotFoundException(Exception):
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"""Raised when an board record is not found."""
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def __init__(self, message="Board record not found"):
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def __init__(self, message: str = "Board record not found"):
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super().__init__(message)
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class BoardRecordSaveException(Exception):
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"""Raised when an board record cannot be saved."""
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def __init__(self, message="Board record not saved"):
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def __init__(self, message: str = "Board record not saved"):
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super().__init__(message)
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class BoardRecordDeleteException(Exception):
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"""Raised when an board record cannot be deleted."""
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def __init__(self, message="Board record not deleted"):
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def __init__(self, message: str = "Board record not deleted"):
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super().__init__(message)
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class UncategorizedImageCounts(BaseModel):
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image_count: int = Field(description="The number of uncategorized images.")
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asset_count: int = Field(description="The number of uncategorized assets.")
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@@ -1,5 +1,6 @@
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import sqlite3
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import threading
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from dataclasses import dataclass
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from typing import Union, cast
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from invokeai.app.services.board_records.board_records_base import BoardRecordStorageBase
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@@ -9,12 +10,108 @@ from invokeai.app.services.board_records.board_records_common import (
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BoardRecordDeleteException,
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BoardRecordNotFoundException,
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BoardRecordSaveException,
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UncategorizedImageCounts,
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deserialize_board_record,
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)
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from invokeai.app.services.shared.pagination import OffsetPaginatedResults
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from invokeai.app.services.shared.sqlite.sqlite_database import SqliteDatabase
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from invokeai.app.util.misc import uuid_string
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BASE_BOARD_RECORD_QUERY = """
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-- This query retrieves board records, joining with the board_images and images tables to get image counts and cover image names.
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-- It is not a complete query, as it is missing a GROUP BY or WHERE clause (and is unterminated).
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SELECT b.board_id,
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b.board_name,
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b.created_at,
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b.updated_at,
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b.archived,
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-- Count the number of images in the board, alias image_count
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COUNT(
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CASE
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WHEN i.image_category in ('general') -- "Images" are images in the 'general' category
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AND i.is_intermediate = 0 THEN 1 -- Intermediates are not counted
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END
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) AS image_count,
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-- Count the number of assets in the board, alias asset_count
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COUNT(
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CASE
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WHEN i.image_category in ('control', 'mask', 'user', 'other') -- "Assets" are images in any of the other categories ('control', 'mask', 'user', 'other')
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AND i.is_intermediate = 0 THEN 1 -- Intermediates are not counted
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END
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) AS asset_count,
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-- Get the name of the the most recent image in the board, alias cover_image_name
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(
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SELECT bi.image_name
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FROM board_images bi
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JOIN images i ON bi.image_name = i.image_name
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WHERE bi.board_id = b.board_id
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AND i.is_intermediate = 0 -- Intermediates cannot be cover images
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ORDER BY i.created_at DESC -- Sort by created_at to get the most recent image
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LIMIT 1
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) AS cover_image_name
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FROM boards b
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LEFT JOIN board_images bi ON b.board_id = bi.board_id
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LEFT JOIN images i ON bi.image_name = i.image_name
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"""
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@dataclass
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class PaginatedBoardRecordsQueries:
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main_query: str
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total_count_query: str
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def get_paginated_list_board_records_queries(include_archived: bool) -> PaginatedBoardRecordsQueries:
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"""Gets a query to retrieve a paginated list of board records."""
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archived_condition = "WHERE b.archived = 0" if not include_archived else ""
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# The GROUP BY must be added _after_ the WHERE clause!
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main_query = f"""
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{BASE_BOARD_RECORD_QUERY}
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{archived_condition}
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GROUP BY b.board_id,
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b.board_name,
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b.created_at,
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b.updated_at
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ORDER BY b.created_at DESC
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LIMIT ? OFFSET ?;
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"""
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total_count_query = f"""
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SELECT COUNT(*)
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FROM boards b
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{archived_condition};
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"""
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return PaginatedBoardRecordsQueries(main_query=main_query, total_count_query=total_count_query)
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def get_list_all_board_records_query(include_archived: bool) -> str:
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"""Gets a query to retrieve all board records."""
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archived_condition = "WHERE b.archived = 0" if not include_archived else ""
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# The GROUP BY must be added _after_ the WHERE clause!
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return f"""
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{BASE_BOARD_RECORD_QUERY}
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{archived_condition}
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GROUP BY b.board_id,
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b.board_name,
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b.created_at,
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b.updated_at
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ORDER BY b.created_at DESC;
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"""
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def get_board_record_query() -> str:
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"""Gets a query to retrieve a board record."""
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return f"""
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{BASE_BOARD_RECORD_QUERY}
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WHERE b.board_id = ?;
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"""
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class SqliteBoardRecordStorage(BoardRecordStorageBase):
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_conn: sqlite3.Connection
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@@ -76,11 +173,7 @@ class SqliteBoardRecordStorage(BoardRecordStorageBase):
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try:
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self._lock.acquire()
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self._cursor.execute(
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"""--sql
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SELECT *
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FROM boards
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WHERE board_id = ?;
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""",
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get_board_record_query(),
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(board_id,),
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)
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@@ -92,7 +185,7 @@ class SqliteBoardRecordStorage(BoardRecordStorageBase):
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self._lock.release()
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if result is None:
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raise BoardRecordNotFoundException
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return BoardRecord(**dict(result))
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return deserialize_board_record(dict(result))
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def update(
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self,
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@@ -149,45 +242,17 @@ class SqliteBoardRecordStorage(BoardRecordStorageBase):
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try:
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self._lock.acquire()
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# Build base query
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base_query = """
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SELECT *
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FROM boards
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{archived_filter}
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ORDER BY created_at DESC
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LIMIT ? OFFSET ?;
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"""
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queries = get_paginated_list_board_records_queries(include_archived=include_archived)
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# Determine archived filter condition
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if include_archived:
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archived_filter = ""
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else:
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archived_filter = "WHERE archived = 0"
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final_query = base_query.format(archived_filter=archived_filter)
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# Execute query to fetch boards
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self._cursor.execute(final_query, (limit, offset))
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self._cursor.execute(
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queries.main_query,
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(limit, offset),
|
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)
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result = cast(list[sqlite3.Row], self._cursor.fetchall())
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boards = [deserialize_board_record(dict(r)) for r in result]
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|
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# Determine count query
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if include_archived:
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count_query = """
|
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SELECT COUNT(*)
|
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FROM boards;
|
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"""
|
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else:
|
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count_query = """
|
||||
SELECT COUNT(*)
|
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FROM boards
|
||||
WHERE archived = 0;
|
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"""
|
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|
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# Execute count query
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self._cursor.execute(count_query)
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|
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self._cursor.execute(queries.total_count_query)
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count = cast(int, self._cursor.fetchone()[0])
|
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|
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return OffsetPaginatedResults[BoardRecord](items=boards, offset=offset, limit=limit, total=count)
|
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@@ -201,26 +266,9 @@ class SqliteBoardRecordStorage(BoardRecordStorageBase):
|
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def get_all(self, include_archived: bool = False) -> list[BoardRecord]:
|
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try:
|
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self._lock.acquire()
|
||||
|
||||
base_query = """
|
||||
SELECT *
|
||||
FROM boards
|
||||
{archived_filter}
|
||||
ORDER BY created_at DESC
|
||||
"""
|
||||
|
||||
if include_archived:
|
||||
archived_filter = ""
|
||||
else:
|
||||
archived_filter = "WHERE archived = 0"
|
||||
|
||||
final_query = base_query.format(archived_filter=archived_filter)
|
||||
|
||||
self._cursor.execute(final_query)
|
||||
|
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self._cursor.execute(get_list_all_board_records_query(include_archived=include_archived))
|
||||
result = cast(list[sqlite3.Row], self._cursor.fetchall())
|
||||
boards = [deserialize_board_record(dict(r)) for r in result]
|
||||
|
||||
return boards
|
||||
|
||||
except sqlite3.Error as e:
|
||||
@@ -228,3 +276,28 @@ class SqliteBoardRecordStorage(BoardRecordStorageBase):
|
||||
raise e
|
||||
finally:
|
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self._lock.release()
|
||||
|
||||
def get_uncategorized_image_counts(self) -> UncategorizedImageCounts:
|
||||
try:
|
||||
self._lock.acquire()
|
||||
query = """
|
||||
-- Get the count of uncategorized images and assets.
|
||||
SELECT
|
||||
CASE
|
||||
WHEN i.image_category = 'general' THEN 'image_count' -- "Images" are images in the 'general' category
|
||||
ELSE 'asset_count' -- "Assets" are images in any of the other categories ('control', 'mask', 'user', 'other')
|
||||
END AS category_type,
|
||||
COUNT(*) AS unassigned_count
|
||||
FROM images i
|
||||
LEFT JOIN board_images bi ON i.image_name = bi.image_name
|
||||
WHERE bi.board_id IS NULL -- Uncategorized images have no board association
|
||||
AND i.is_intermediate = 0 -- Omit intermediates from the counts
|
||||
GROUP BY category_type; -- Group by category_type alias, as derived from the image_category column earlier
|
||||
"""
|
||||
self._cursor.execute(query)
|
||||
results = self._cursor.fetchall()
|
||||
image_count = dict(results)["image_count"]
|
||||
asset_count = dict(results)["asset_count"]
|
||||
return UncategorizedImageCounts(image_count=image_count, asset_count=asset_count)
|
||||
finally:
|
||||
self._lock.release()
|
||||
|
||||
@@ -1,23 +1,8 @@
|
||||
from typing import Optional
|
||||
|
||||
from pydantic import Field
|
||||
|
||||
from invokeai.app.services.board_records.board_records_common import BoardRecord
|
||||
|
||||
|
||||
# TODO(psyche): BoardDTO is now identical to BoardRecord. We should consider removing it.
|
||||
class BoardDTO(BoardRecord):
|
||||
"""Deserialized board record with cover image URL and image count."""
|
||||
"""Deserialized board record."""
|
||||
|
||||
cover_image_name: Optional[str] = Field(description="The name of the board's cover image.")
|
||||
"""The URL of the thumbnail of the most recent image in the board."""
|
||||
image_count: int = Field(description="The number of images in the board.")
|
||||
"""The number of images in the board."""
|
||||
|
||||
|
||||
def board_record_to_dto(board_record: BoardRecord, cover_image_name: Optional[str], image_count: int) -> BoardDTO:
|
||||
"""Converts a board record to a board DTO."""
|
||||
return BoardDTO(
|
||||
**board_record.model_dump(exclude={"cover_image_name"}),
|
||||
cover_image_name=cover_image_name,
|
||||
image_count=image_count,
|
||||
)
|
||||
pass
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
from invokeai.app.services.board_records.board_records_common import BoardChanges
|
||||
from invokeai.app.services.boards.boards_base import BoardServiceABC
|
||||
from invokeai.app.services.boards.boards_common import BoardDTO, board_record_to_dto
|
||||
from invokeai.app.services.boards.boards_common import BoardDTO
|
||||
from invokeai.app.services.invoker import Invoker
|
||||
from invokeai.app.services.shared.pagination import OffsetPaginatedResults
|
||||
|
||||
@@ -16,17 +16,11 @@ class BoardService(BoardServiceABC):
|
||||
board_name: str,
|
||||
) -> BoardDTO:
|
||||
board_record = self.__invoker.services.board_records.save(board_name)
|
||||
return board_record_to_dto(board_record, None, 0)
|
||||
return BoardDTO.model_validate(board_record.model_dump())
|
||||
|
||||
def get_dto(self, board_id: str) -> BoardDTO:
|
||||
board_record = self.__invoker.services.board_records.get(board_id)
|
||||
cover_image = self.__invoker.services.image_records.get_most_recent_image_for_board(board_record.board_id)
|
||||
if cover_image:
|
||||
cover_image_name = cover_image.image_name
|
||||
else:
|
||||
cover_image_name = None
|
||||
image_count = self.__invoker.services.board_image_records.get_image_count_for_board(board_id)
|
||||
return board_record_to_dto(board_record, cover_image_name, image_count)
|
||||
return BoardDTO.model_validate(board_record.model_dump())
|
||||
|
||||
def update(
|
||||
self,
|
||||
@@ -34,14 +28,7 @@ class BoardService(BoardServiceABC):
|
||||
changes: BoardChanges,
|
||||
) -> BoardDTO:
|
||||
board_record = self.__invoker.services.board_records.update(board_id, changes)
|
||||
cover_image = self.__invoker.services.image_records.get_most_recent_image_for_board(board_record.board_id)
|
||||
if cover_image:
|
||||
cover_image_name = cover_image.image_name
|
||||
else:
|
||||
cover_image_name = None
|
||||
|
||||
image_count = self.__invoker.services.board_image_records.get_image_count_for_board(board_id)
|
||||
return board_record_to_dto(board_record, cover_image_name, image_count)
|
||||
return BoardDTO.model_validate(board_record.model_dump())
|
||||
|
||||
def delete(self, board_id: str) -> None:
|
||||
self.__invoker.services.board_records.delete(board_id)
|
||||
@@ -50,30 +37,10 @@ class BoardService(BoardServiceABC):
|
||||
self, offset: int = 0, limit: int = 10, include_archived: bool = False
|
||||
) -> OffsetPaginatedResults[BoardDTO]:
|
||||
board_records = self.__invoker.services.board_records.get_many(offset, limit, include_archived)
|
||||
board_dtos = []
|
||||
for r in board_records.items:
|
||||
cover_image = self.__invoker.services.image_records.get_most_recent_image_for_board(r.board_id)
|
||||
if cover_image:
|
||||
cover_image_name = cover_image.image_name
|
||||
else:
|
||||
cover_image_name = None
|
||||
|
||||
image_count = self.__invoker.services.board_image_records.get_image_count_for_board(r.board_id)
|
||||
board_dtos.append(board_record_to_dto(r, cover_image_name, image_count))
|
||||
|
||||
board_dtos = [BoardDTO.model_validate(r.model_dump()) for r in board_records.items]
|
||||
return OffsetPaginatedResults[BoardDTO](items=board_dtos, offset=offset, limit=limit, total=len(board_dtos))
|
||||
|
||||
def get_all(self, include_archived: bool = False) -> list[BoardDTO]:
|
||||
board_records = self.__invoker.services.board_records.get_all(include_archived)
|
||||
board_dtos = []
|
||||
for r in board_records:
|
||||
cover_image = self.__invoker.services.image_records.get_most_recent_image_for_board(r.board_id)
|
||||
if cover_image:
|
||||
cover_image_name = cover_image.image_name
|
||||
else:
|
||||
cover_image_name = None
|
||||
|
||||
image_count = self.__invoker.services.board_image_records.get_image_count_for_board(r.board_id)
|
||||
board_dtos.append(board_record_to_dto(r, cover_image_name, image_count))
|
||||
|
||||
board_dtos = [BoardDTO.model_validate(r.model_dump()) for r in board_records]
|
||||
return board_dtos
|
||||
|
||||
@@ -13,7 +13,6 @@ import {
|
||||
import { $nodeExecutionStates, upsertExecutionState } from 'features/nodes/hooks/useExecutionState';
|
||||
import { zNodeStatus } from 'features/nodes/types/invocation';
|
||||
import { CANVAS_OUTPUT } from 'features/nodes/util/graph/constants';
|
||||
import { boardsApi } from 'services/api/endpoints/boards';
|
||||
import { imagesApi } from 'services/api/endpoints/images';
|
||||
import { getCategories, getListImagesUrl } from 'services/api/util';
|
||||
import { socketInvocationComplete } from 'services/events/actions';
|
||||
@@ -52,14 +51,6 @@ export const addInvocationCompleteEventListener = (startAppListening: AppStartLi
|
||||
}
|
||||
|
||||
if (!imageDTO.is_intermediate) {
|
||||
// update the total images for the board
|
||||
dispatch(
|
||||
boardsApi.util.updateQueryData('getBoardImagesTotal', imageDTO.board_id ?? 'none', (draft) => {
|
||||
// eslint-disable-next-line @typescript-eslint/no-unused-vars
|
||||
draft.total += 1;
|
||||
})
|
||||
);
|
||||
|
||||
dispatch(
|
||||
imagesApi.util.invalidateTags([
|
||||
{ type: 'Board', id: imageDTO.board_id ?? 'none' },
|
||||
|
||||
@@ -1,22 +1,12 @@
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import { useGetBoardAssetsTotalQuery, useGetBoardImagesTotalQuery } from 'services/api/endpoints/boards';
|
||||
|
||||
type Props = {
|
||||
board_id: string;
|
||||
imageCount: number;
|
||||
assetCount: number;
|
||||
isArchived: boolean;
|
||||
};
|
||||
|
||||
export const BoardTotalsTooltip = ({ board_id, isArchived }: Props) => {
|
||||
export const BoardTotalsTooltip = ({ imageCount, assetCount, isArchived }: Props) => {
|
||||
const { t } = useTranslation();
|
||||
const { imagesTotal } = useGetBoardImagesTotalQuery(board_id, {
|
||||
selectFromResult: ({ data }) => {
|
||||
return { imagesTotal: data?.total ?? 0 };
|
||||
},
|
||||
});
|
||||
const { assetsTotal } = useGetBoardAssetsTotalQuery(board_id, {
|
||||
selectFromResult: ({ data }) => {
|
||||
return { assetsTotal: data?.total ?? 0 };
|
||||
},
|
||||
});
|
||||
return `${t('boards.imagesWithCount', { count: imagesTotal })}, ${t('boards.assetsWithCount', { count: assetsTotal })}${isArchived ? ` (${t('boards.archived')})` : ''}`;
|
||||
return `${t('boards.imagesWithCount', { count: imageCount })}, ${t('boards.assetsWithCount', { count: assetCount })}${isArchived ? ` (${t('boards.archived')})` : ''}`;
|
||||
};
|
||||
|
||||
@@ -116,7 +116,13 @@ const GalleryBoard = ({ board, isSelected, setBoardToDelete }: GalleryBoardProps
|
||||
<BoardContextMenu board={board} setBoardToDelete={setBoardToDelete}>
|
||||
{(ref) => (
|
||||
<Tooltip
|
||||
label={<BoardTotalsTooltip board_id={board.board_id} isArchived={Boolean(board.archived)} />}
|
||||
label={
|
||||
<BoardTotalsTooltip
|
||||
imageCount={board.image_count}
|
||||
assetCount={board.asset_count}
|
||||
isArchived={Boolean(board.archived)}
|
||||
/>
|
||||
}
|
||||
openDelay={1000}
|
||||
placement="left"
|
||||
closeOnScroll
|
||||
@@ -166,7 +172,7 @@ const GalleryBoard = ({ board, isSelected, setBoardToDelete }: GalleryBoardProps
|
||||
</Editable>
|
||||
{autoAddBoardId === board.board_id && !editingDisclosure.isOpen && <AutoAddBadge />}
|
||||
{board.archived && !editingDisclosure.isOpen && <Icon as={PiArchiveBold} fill="base.300" />}
|
||||
{!editingDisclosure.isOpen && <Text variant="subtext">{board.image_count}</Text>}
|
||||
{!editingDisclosure.isOpen && <Text variant="subtext">{board.image_count + board.asset_count}</Text>}
|
||||
|
||||
<IAIDroppable data={droppableData} dropLabel={<Text fontSize="md">{t('unifiedCanvas.move')}</Text>} />
|
||||
</Flex>
|
||||
|
||||
@@ -9,7 +9,7 @@ import NoBoardBoardContextMenu from 'features/gallery/components/Boards/NoBoardB
|
||||
import { autoAddBoardIdChanged, boardIdSelected } from 'features/gallery/store/gallerySlice';
|
||||
import { memo, useCallback, useMemo } from 'react';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
import { useGetBoardImagesTotalQuery } from 'services/api/endpoints/boards';
|
||||
import { useGetUncategorizedImageCountsQuery } from 'services/api/endpoints/boards';
|
||||
import { useBoardName } from 'services/api/hooks/useBoardName';
|
||||
|
||||
interface Props {
|
||||
@@ -22,11 +22,7 @@ const _hover: SystemStyleObject = {
|
||||
|
||||
const NoBoardBoard = memo(({ isSelected }: Props) => {
|
||||
const dispatch = useAppDispatch();
|
||||
const { imagesTotal } = useGetBoardImagesTotalQuery('none', {
|
||||
selectFromResult: ({ data }) => {
|
||||
return { imagesTotal: data?.total ?? 0 };
|
||||
},
|
||||
});
|
||||
const { data } = useGetUncategorizedImageCountsQuery();
|
||||
const autoAddBoardId = useAppSelector((s) => s.gallery.autoAddBoardId);
|
||||
const autoAssignBoardOnClick = useAppSelector((s) => s.gallery.autoAssignBoardOnClick);
|
||||
const boardSearchText = useAppSelector((s) => s.gallery.boardSearchText);
|
||||
@@ -60,7 +56,13 @@ const NoBoardBoard = memo(({ isSelected }: Props) => {
|
||||
<NoBoardBoardContextMenu>
|
||||
{(ref) => (
|
||||
<Tooltip
|
||||
label={<BoardTotalsTooltip board_id="none" isArchived={false} />}
|
||||
label={
|
||||
<BoardTotalsTooltip
|
||||
imageCount={data?.image_count ?? 0}
|
||||
assetCount={data?.asset_count ?? 0}
|
||||
isArchived={false}
|
||||
/>
|
||||
}
|
||||
openDelay={1000}
|
||||
placement="left"
|
||||
closeOnScroll
|
||||
@@ -99,7 +101,7 @@ const NoBoardBoard = memo(({ isSelected }: Props) => {
|
||||
{boardName}
|
||||
</Text>
|
||||
{autoAddBoardId === 'none' && <AutoAddBadge />}
|
||||
<Text variant="subtext">{imagesTotal}</Text>
|
||||
<Text variant="subtext">{(data?.image_count ?? 0) + (data?.asset_count ?? 0)}</Text>
|
||||
<IAIDroppable data={droppableData} dropLabel={<Text fontSize="md">{t('unifiedCanvas.move')}</Text>} />
|
||||
</Flex>
|
||||
</Tooltip>
|
||||
|
||||
@@ -1,12 +1,4 @@
|
||||
import { ASSETS_CATEGORIES, IMAGE_CATEGORIES } from 'features/gallery/store/types';
|
||||
import type {
|
||||
BoardDTO,
|
||||
CreateBoardArg,
|
||||
ListBoardsArgs,
|
||||
OffsetPaginatedResults_ImageDTO_,
|
||||
UpdateBoardArg,
|
||||
} from 'services/api/types';
|
||||
import { getListImagesUrl } from 'services/api/util';
|
||||
import type { BoardDTO, CreateBoardArg, ListBoardsArgs, S, UpdateBoardArg } from 'services/api/types';
|
||||
|
||||
import type { ApiTagDescription } from '..';
|
||||
import { api, buildV1Url, LIST_TAG } from '..';
|
||||
@@ -55,38 +47,11 @@ export const boardsApi = api.injectEndpoints({
|
||||
keepUnusedDataFor: 0,
|
||||
}),
|
||||
|
||||
getBoardImagesTotal: build.query<{ total: number }, string | undefined>({
|
||||
query: (board_id) => ({
|
||||
url: getListImagesUrl({
|
||||
board_id: board_id ?? 'none',
|
||||
categories: IMAGE_CATEGORIES,
|
||||
is_intermediate: false,
|
||||
limit: 0,
|
||||
offset: 0,
|
||||
}),
|
||||
method: 'GET',
|
||||
getUncategorizedImageCounts: build.query<S['UncategorizedImageCounts'], void>({
|
||||
query: () => ({
|
||||
url: buildBoardsUrl('uncategorized/counts'),
|
||||
}),
|
||||
providesTags: (result, error, arg) => [{ type: 'BoardImagesTotal', id: arg ?? 'none' }, 'FetchOnReconnect'],
|
||||
transformResponse: (response: OffsetPaginatedResults_ImageDTO_) => {
|
||||
return { total: response.total };
|
||||
},
|
||||
}),
|
||||
|
||||
getBoardAssetsTotal: build.query<{ total: number }, string | undefined>({
|
||||
query: (board_id) => ({
|
||||
url: getListImagesUrl({
|
||||
board_id: board_id ?? 'none',
|
||||
categories: ASSETS_CATEGORIES,
|
||||
is_intermediate: false,
|
||||
limit: 0,
|
||||
offset: 0,
|
||||
}),
|
||||
method: 'GET',
|
||||
}),
|
||||
providesTags: (result, error, arg) => [{ type: 'BoardAssetsTotal', id: arg ?? 'none' }, 'FetchOnReconnect'],
|
||||
transformResponse: (response: OffsetPaginatedResults_ImageDTO_) => {
|
||||
return { total: response.total };
|
||||
},
|
||||
providesTags: ['UncategorizedImageCounts', { type: 'Board', id: LIST_TAG }, { type: 'Board', id: 'none' }],
|
||||
}),
|
||||
|
||||
/**
|
||||
@@ -124,9 +89,8 @@ export const boardsApi = api.injectEndpoints({
|
||||
|
||||
export const {
|
||||
useListAllBoardsQuery,
|
||||
useGetBoardImagesTotalQuery,
|
||||
useGetBoardAssetsTotalQuery,
|
||||
useCreateBoardMutation,
|
||||
useUpdateBoardMutation,
|
||||
useListAllImageNamesForBoardQuery,
|
||||
useGetUncategorizedImageCountsQuery,
|
||||
} = boardsApi;
|
||||
|
||||
@@ -44,6 +44,7 @@ const tagTypes = [
|
||||
// This is invalidated on reconnect. It should be used for queries that have changing data,
|
||||
// especially related to the queue and generation.
|
||||
'FetchOnReconnect',
|
||||
'UncategorizedImageCounts',
|
||||
] as const;
|
||||
export type ApiTagDescription = TagDescription<(typeof tagTypes)[number]>;
|
||||
export const LIST_TAG = 'LIST';
|
||||
|
||||
@@ -333,6 +333,13 @@ export type paths = {
|
||||
*/
|
||||
get: operations["list_all_board_image_names"];
|
||||
};
|
||||
"/api/v1/boards/uncategorized/counts": {
|
||||
/**
|
||||
* Get Uncategorized Image Counts
|
||||
* @description Gets count of images and assets for uncategorized images (images with no board assocation)
|
||||
*/
|
||||
get: operations["get_uncategorized_image_counts"];
|
||||
};
|
||||
"/api/v1/board_images/": {
|
||||
/**
|
||||
* Add Image To Board
|
||||
@@ -1020,7 +1027,7 @@ export type components = {
|
||||
};
|
||||
/**
|
||||
* BoardDTO
|
||||
* @description Deserialized board record with cover image URL and image count.
|
||||
* @description Deserialized board record.
|
||||
*/
|
||||
BoardDTO: {
|
||||
/**
|
||||
@@ -1050,9 +1057,9 @@ export type components = {
|
||||
deleted_at?: string | null;
|
||||
/**
|
||||
* Cover Image Name
|
||||
* @description The name of the board's cover image.
|
||||
* @description The name of the cover image of the board.
|
||||
*/
|
||||
cover_image_name: string | null;
|
||||
cover_image_name?: string | null;
|
||||
/**
|
||||
* Archived
|
||||
* @description Whether or not the board is archived.
|
||||
@@ -1068,6 +1075,11 @@ export type components = {
|
||||
* @description The number of images in the board.
|
||||
*/
|
||||
image_count: number;
|
||||
/**
|
||||
* Asset Count
|
||||
* @description The number of assets in the board.
|
||||
*/
|
||||
asset_count: number;
|
||||
};
|
||||
/**
|
||||
* BoardField
|
||||
@@ -7304,145 +7316,145 @@ export type components = {
|
||||
project_id: string | null;
|
||||
};
|
||||
InvocationOutputMap: {
|
||||
rectangle_mask: components["schemas"]["MaskOutput"];
|
||||
hed_image_processor: components["schemas"]["ImageOutput"];
|
||||
compel: components["schemas"]["ConditioningOutput"];
|
||||
img_resize: components["schemas"]["ImageOutput"];
|
||||
ideal_size: components["schemas"]["IdealSizeOutput"];
|
||||
rand_int: components["schemas"]["IntegerOutput"];
|
||||
clip_skip: components["schemas"]["CLIPSkipInvocationOutput"];
|
||||
string_collection: components["schemas"]["StringCollectionOutput"];
|
||||
create_gradient_mask: components["schemas"]["GradientMaskOutput"];
|
||||
round_float: components["schemas"]["FloatOutput"];
|
||||
scheduler: components["schemas"]["SchedulerOutput"];
|
||||
main_model_loader: components["schemas"]["ModelLoaderOutput"];
|
||||
string_split: components["schemas"]["String2Output"];
|
||||
mask_from_id: components["schemas"]["ImageOutput"];
|
||||
collect: components["schemas"]["CollectInvocationOutput"];
|
||||
heuristic_resize: components["schemas"]["ImageOutput"];
|
||||
tomask: components["schemas"]["ImageOutput"];
|
||||
boolean_collection: components["schemas"]["BooleanCollectionOutput"];
|
||||
core_metadata: components["schemas"]["MetadataOutput"];
|
||||
canny_image_processor: components["schemas"]["ImageOutput"];
|
||||
string_replace: components["schemas"]["StringOutput"];
|
||||
face_mask_detection: components["schemas"]["FaceMaskOutput"];
|
||||
integer: components["schemas"]["IntegerOutput"];
|
||||
img_watermark: components["schemas"]["ImageOutput"];
|
||||
img_crop: components["schemas"]["ImageOutput"];
|
||||
t2i_adapter: components["schemas"]["T2IAdapterOutput"];
|
||||
create_denoise_mask: components["schemas"]["DenoiseMaskOutput"];
|
||||
rand_float: components["schemas"]["FloatOutput"];
|
||||
zoe_depth_image_processor: components["schemas"]["ImageOutput"];
|
||||
face_off: components["schemas"]["FaceOffOutput"];
|
||||
tile_to_properties: components["schemas"]["TileToPropertiesOutput"];
|
||||
color_map_image_processor: components["schemas"]["ImageOutput"];
|
||||
lineart_anime_image_processor: components["schemas"]["ImageOutput"];
|
||||
face_identifier: components["schemas"]["ImageOutput"];
|
||||
float_math: components["schemas"]["FloatOutput"];
|
||||
mediapipe_face_processor: components["schemas"]["ImageOutput"];
|
||||
img_channel_multiply: components["schemas"]["ImageOutput"];
|
||||
metadata_item: components["schemas"]["MetadataItemOutput"];
|
||||
img_ilerp: components["schemas"]["ImageOutput"];
|
||||
conditioning: components["schemas"]["ConditioningOutput"];
|
||||
pidi_image_processor: components["schemas"]["ImageOutput"];
|
||||
seamless: components["schemas"]["SeamlessModeOutput"];
|
||||
latents: components["schemas"]["LatentsOutput"];
|
||||
img_chan: components["schemas"]["ImageOutput"];
|
||||
model_identifier: components["schemas"]["ModelIdentifierOutput"];
|
||||
noise: components["schemas"]["NoiseOutput"];
|
||||
string_join: components["schemas"]["StringOutput"];
|
||||
blank_image: components["schemas"]["ImageOutput"];
|
||||
calculate_image_tiles: components["schemas"]["CalculateImageTilesOutput"];
|
||||
invert_tensor_mask: components["schemas"]["MaskOutput"];
|
||||
save_image: components["schemas"]["ImageOutput"];
|
||||
unsharp_mask: components["schemas"]["ImageOutput"];
|
||||
image_mask_to_tensor: components["schemas"]["MaskOutput"];
|
||||
step_param_easing: components["schemas"]["FloatCollectionOutput"];
|
||||
merge_tiles_to_image: components["schemas"]["ImageOutput"];
|
||||
integer_collection: components["schemas"]["IntegerCollectionOutput"];
|
||||
calculate_image_tiles_even_split: components["schemas"]["CalculateImageTilesOutput"];
|
||||
integer_math: components["schemas"]["IntegerOutput"];
|
||||
range: components["schemas"]["IntegerCollectionOutput"];
|
||||
prompt_from_file: components["schemas"]["StringCollectionOutput"];
|
||||
segment_anything_processor: components["schemas"]["ImageOutput"];
|
||||
freeu: components["schemas"]["UNetOutput"];
|
||||
sub: components["schemas"]["IntegerOutput"];
|
||||
lresize: components["schemas"]["LatentsOutput"];
|
||||
float: components["schemas"]["FloatOutput"];
|
||||
float_collection: components["schemas"]["FloatCollectionOutput"];
|
||||
dynamic_prompt: components["schemas"]["StringCollectionOutput"];
|
||||
infill_lama: components["schemas"]["ImageOutput"];
|
||||
l2i: components["schemas"]["ImageOutput"];
|
||||
img_lerp: components["schemas"]["ImageOutput"];
|
||||
ip_adapter: components["schemas"]["IPAdapterOutput"];
|
||||
lora_collection_loader: components["schemas"]["LoRALoaderOutput"];
|
||||
color: components["schemas"]["ColorOutput"];
|
||||
tiled_multi_diffusion_denoise_latents: components["schemas"]["LatentsOutput"];
|
||||
cv_inpaint: components["schemas"]["ImageOutput"];
|
||||
lscale: components["schemas"]["LatentsOutput"];
|
||||
string: components["schemas"]["StringOutput"];
|
||||
sdxl_refiner_compel_prompt: components["schemas"]["ConditioningOutput"];
|
||||
string_join_three: components["schemas"]["StringOutput"];
|
||||
midas_depth_image_processor: components["schemas"]["ImageOutput"];
|
||||
esrgan: components["schemas"]["ImageOutput"];
|
||||
sdxl_refiner_model_loader: components["schemas"]["SDXLRefinerModelLoaderOutput"];
|
||||
mul: components["schemas"]["IntegerOutput"];
|
||||
normalbae_image_processor: components["schemas"]["ImageOutput"];
|
||||
infill_rgba: components["schemas"]["ImageOutput"];
|
||||
sdxl_model_loader: components["schemas"]["SDXLModelLoaderOutput"];
|
||||
vae_loader: components["schemas"]["VAEOutput"];
|
||||
float_to_int: components["schemas"]["IntegerOutput"];
|
||||
lora_selector: components["schemas"]["LoRASelectorOutput"];
|
||||
crop_latents: components["schemas"]["LatentsOutput"];
|
||||
img_mul: components["schemas"]["ImageOutput"];
|
||||
float_range: components["schemas"]["FloatCollectionOutput"];
|
||||
merge_metadata: components["schemas"]["MetadataOutput"];
|
||||
img_blur: components["schemas"]["ImageOutput"];
|
||||
boolean: components["schemas"]["BooleanOutput"];
|
||||
tile_image_processor: components["schemas"]["ImageOutput"];
|
||||
mlsd_image_processor: components["schemas"]["ImageOutput"];
|
||||
infill_patchmatch: components["schemas"]["ImageOutput"];
|
||||
img_pad_crop: components["schemas"]["ImageOutput"];
|
||||
leres_image_processor: components["schemas"]["ImageOutput"];
|
||||
sdxl_lora_loader: components["schemas"]["SDXLLoRALoaderOutput"];
|
||||
dw_openpose_image_processor: components["schemas"]["ImageOutput"];
|
||||
img_scale: components["schemas"]["ImageOutput"];
|
||||
pair_tile_image: components["schemas"]["PairTileImageOutput"];
|
||||
lblend: components["schemas"]["LatentsOutput"];
|
||||
range_of_size: components["schemas"]["IntegerCollectionOutput"];
|
||||
image_collection: components["schemas"]["ImageCollectionOutput"];
|
||||
calculate_image_tiles_min_overlap: components["schemas"]["CalculateImageTilesOutput"];
|
||||
img_channel_offset: components["schemas"]["ImageOutput"];
|
||||
alpha_mask_to_tensor: components["schemas"]["MaskOutput"];
|
||||
infill_cv2: components["schemas"]["ImageOutput"];
|
||||
mask_combine: components["schemas"]["ImageOutput"];
|
||||
string_split_neg: components["schemas"]["StringPosNegOutput"];
|
||||
sdxl_lora_collection_loader: components["schemas"]["SDXLLoRALoaderOutput"];
|
||||
lineart_image_processor: components["schemas"]["ImageOutput"];
|
||||
img_nsfw: components["schemas"]["ImageOutput"];
|
||||
image: components["schemas"]["ImageOutput"];
|
||||
content_shuffle_image_processor: components["schemas"]["ImageOutput"];
|
||||
canvas_paste_back: components["schemas"]["ImageOutput"];
|
||||
iterate: components["schemas"]["IterateInvocationOutput"];
|
||||
div: components["schemas"]["IntegerOutput"];
|
||||
latents_collection: components["schemas"]["LatentsCollectionOutput"];
|
||||
img_conv: components["schemas"]["ImageOutput"];
|
||||
mask_edge: components["schemas"]["ImageOutput"];
|
||||
conditioning_collection: components["schemas"]["ConditioningCollectionOutput"];
|
||||
img_hue_adjust: components["schemas"]["ImageOutput"];
|
||||
depth_anything_image_processor: components["schemas"]["ImageOutput"];
|
||||
lora_loader: components["schemas"]["LoRALoaderOutput"];
|
||||
sdxl_compel_prompt: components["schemas"]["ConditioningOutput"];
|
||||
add: components["schemas"]["IntegerOutput"];
|
||||
controlnet: components["schemas"]["ControlOutput"];
|
||||
color_correct: components["schemas"]["ImageOutput"];
|
||||
random_range: components["schemas"]["IntegerCollectionOutput"];
|
||||
denoise_latents: components["schemas"]["LatentsOutput"];
|
||||
metadata: components["schemas"]["MetadataOutput"];
|
||||
i2l: components["schemas"]["LatentsOutput"];
|
||||
show_image: components["schemas"]["ImageOutput"];
|
||||
img_paste: components["schemas"]["ImageOutput"];
|
||||
clip_skip: components["schemas"]["CLIPSkipInvocationOutput"];
|
||||
canvas_paste_back: components["schemas"]["ImageOutput"];
|
||||
seamless: components["schemas"]["SeamlessModeOutput"];
|
||||
blank_image: components["schemas"]["ImageOutput"];
|
||||
dynamic_prompt: components["schemas"]["StringCollectionOutput"];
|
||||
step_param_easing: components["schemas"]["FloatCollectionOutput"];
|
||||
latents_collection: components["schemas"]["LatentsCollectionOutput"];
|
||||
normalbae_image_processor: components["schemas"]["ImageOutput"];
|
||||
rand_float: components["schemas"]["FloatOutput"];
|
||||
lora_loader: components["schemas"]["LoRALoaderOutput"];
|
||||
collect: components["schemas"]["CollectInvocationOutput"];
|
||||
infill_rgba: components["schemas"]["ImageOutput"];
|
||||
img_lerp: components["schemas"]["ImageOutput"];
|
||||
integer_math: components["schemas"]["IntegerOutput"];
|
||||
conditioning_collection: components["schemas"]["ConditioningCollectionOutput"];
|
||||
mask_from_id: components["schemas"]["ImageOutput"];
|
||||
mlsd_image_processor: components["schemas"]["ImageOutput"];
|
||||
zoe_depth_image_processor: components["schemas"]["ImageOutput"];
|
||||
ideal_size: components["schemas"]["IdealSizeOutput"];
|
||||
conditioning: components["schemas"]["ConditioningOutput"];
|
||||
img_resize: components["schemas"]["ImageOutput"];
|
||||
integer_collection: components["schemas"]["IntegerCollectionOutput"];
|
||||
float_range: components["schemas"]["FloatCollectionOutput"];
|
||||
tile_to_properties: components["schemas"]["TileToPropertiesOutput"];
|
||||
alpha_mask_to_tensor: components["schemas"]["MaskOutput"];
|
||||
img_watermark: components["schemas"]["ImageOutput"];
|
||||
merge_tiles_to_image: components["schemas"]["ImageOutput"];
|
||||
merge_metadata: components["schemas"]["MetadataOutput"];
|
||||
round_float: components["schemas"]["FloatOutput"];
|
||||
denoise_latents: components["schemas"]["LatentsOutput"];
|
||||
string_join_three: components["schemas"]["StringOutput"];
|
||||
img_blur: components["schemas"]["ImageOutput"];
|
||||
color_map_image_processor: components["schemas"]["ImageOutput"];
|
||||
img_scale: components["schemas"]["ImageOutput"];
|
||||
infill_tile: components["schemas"]["ImageOutput"];
|
||||
add: components["schemas"]["IntegerOutput"];
|
||||
img_paste: components["schemas"]["ImageOutput"];
|
||||
img_crop: components["schemas"]["ImageOutput"];
|
||||
cv_inpaint: components["schemas"]["ImageOutput"];
|
||||
image_collection: components["schemas"]["ImageCollectionOutput"];
|
||||
img_pad_crop: components["schemas"]["ImageOutput"];
|
||||
canny_image_processor: components["schemas"]["ImageOutput"];
|
||||
model_identifier: components["schemas"]["ModelIdentifierOutput"];
|
||||
i2l: components["schemas"]["LatentsOutput"];
|
||||
face_mask_detection: components["schemas"]["FaceMaskOutput"];
|
||||
img_channel_multiply: components["schemas"]["ImageOutput"];
|
||||
sdxl_model_loader: components["schemas"]["SDXLModelLoaderOutput"];
|
||||
img_mul: components["schemas"]["ImageOutput"];
|
||||
tomask: components["schemas"]["ImageOutput"];
|
||||
image_mask_to_tensor: components["schemas"]["MaskOutput"];
|
||||
face_identifier: components["schemas"]["ImageOutput"];
|
||||
noise: components["schemas"]["NoiseOutput"];
|
||||
l2i: components["schemas"]["ImageOutput"];
|
||||
mul: components["schemas"]["IntegerOutput"];
|
||||
sub: components["schemas"]["IntegerOutput"];
|
||||
main_model_loader: components["schemas"]["ModelLoaderOutput"];
|
||||
controlnet: components["schemas"]["ControlOutput"];
|
||||
ip_adapter: components["schemas"]["IPAdapterOutput"];
|
||||
lscale: components["schemas"]["LatentsOutput"];
|
||||
sdxl_lora_collection_loader: components["schemas"]["SDXLLoRALoaderOutput"];
|
||||
latents: components["schemas"]["LatentsOutput"];
|
||||
string_split: components["schemas"]["String2Output"];
|
||||
sdxl_refiner_compel_prompt: components["schemas"]["ConditioningOutput"];
|
||||
esrgan: components["schemas"]["ImageOutput"];
|
||||
dw_openpose_image_processor: components["schemas"]["ImageOutput"];
|
||||
compel: components["schemas"]["ConditioningOutput"];
|
||||
sdxl_lora_loader: components["schemas"]["SDXLLoRALoaderOutput"];
|
||||
sdxl_compel_prompt: components["schemas"]["ConditioningOutput"];
|
||||
tile_image_processor: components["schemas"]["ImageOutput"];
|
||||
mediapipe_face_processor: components["schemas"]["ImageOutput"];
|
||||
metadata_item: components["schemas"]["MetadataItemOutput"];
|
||||
float_math: components["schemas"]["FloatOutput"];
|
||||
prompt_from_file: components["schemas"]["StringCollectionOutput"];
|
||||
pidi_image_processor: components["schemas"]["ImageOutput"];
|
||||
content_shuffle_image_processor: components["schemas"]["ImageOutput"];
|
||||
lineart_anime_image_processor: components["schemas"]["ImageOutput"];
|
||||
t2i_adapter: components["schemas"]["T2IAdapterOutput"];
|
||||
integer: components["schemas"]["IntegerOutput"];
|
||||
unsharp_mask: components["schemas"]["ImageOutput"];
|
||||
range: components["schemas"]["IntegerCollectionOutput"];
|
||||
string: components["schemas"]["StringOutput"];
|
||||
show_image: components["schemas"]["ImageOutput"];
|
||||
image: components["schemas"]["ImageOutput"];
|
||||
heuristic_resize: components["schemas"]["ImageOutput"];
|
||||
div: components["schemas"]["IntegerOutput"];
|
||||
rand_int: components["schemas"]["IntegerOutput"];
|
||||
float: components["schemas"]["FloatOutput"];
|
||||
img_conv: components["schemas"]["ImageOutput"];
|
||||
mask_combine: components["schemas"]["ImageOutput"];
|
||||
random_range: components["schemas"]["IntegerCollectionOutput"];
|
||||
boolean_collection: components["schemas"]["BooleanCollectionOutput"];
|
||||
pair_tile_image: components["schemas"]["PairTileImageOutput"];
|
||||
save_image: components["schemas"]["ImageOutput"];
|
||||
lora_selector: components["schemas"]["LoRASelectorOutput"];
|
||||
boolean: components["schemas"]["BooleanOutput"];
|
||||
tiled_multi_diffusion_denoise_latents: components["schemas"]["LatentsOutput"];
|
||||
rectangle_mask: components["schemas"]["MaskOutput"];
|
||||
lineart_image_processor: components["schemas"]["ImageOutput"];
|
||||
midas_depth_image_processor: components["schemas"]["ImageOutput"];
|
||||
img_nsfw: components["schemas"]["ImageOutput"];
|
||||
infill_patchmatch: components["schemas"]["ImageOutput"];
|
||||
infill_lama: components["schemas"]["ImageOutput"];
|
||||
infill_cv2: components["schemas"]["ImageOutput"];
|
||||
float_to_int: components["schemas"]["IntegerOutput"];
|
||||
color: components["schemas"]["ColorOutput"];
|
||||
lora_collection_loader: components["schemas"]["LoRALoaderOutput"];
|
||||
vae_loader: components["schemas"]["VAEOutput"];
|
||||
string_split_neg: components["schemas"]["StringPosNegOutput"];
|
||||
lresize: components["schemas"]["LatentsOutput"];
|
||||
string_collection: components["schemas"]["StringCollectionOutput"];
|
||||
invert_tensor_mask: components["schemas"]["MaskOutput"];
|
||||
depth_anything_image_processor: components["schemas"]["ImageOutput"];
|
||||
hed_image_processor: components["schemas"]["ImageOutput"];
|
||||
leres_image_processor: components["schemas"]["ImageOutput"];
|
||||
img_ilerp: components["schemas"]["ImageOutput"];
|
||||
freeu: components["schemas"]["UNetOutput"];
|
||||
mask_edge: components["schemas"]["ImageOutput"];
|
||||
string_join: components["schemas"]["StringOutput"];
|
||||
img_hue_adjust: components["schemas"]["ImageOutput"];
|
||||
color_correct: components["schemas"]["ImageOutput"];
|
||||
calculate_image_tiles_min_overlap: components["schemas"]["CalculateImageTilesOutput"];
|
||||
img_chan: components["schemas"]["ImageOutput"];
|
||||
calculate_image_tiles_even_split: components["schemas"]["CalculateImageTilesOutput"];
|
||||
create_denoise_mask: components["schemas"]["DenoiseMaskOutput"];
|
||||
lblend: components["schemas"]["LatentsOutput"];
|
||||
crop_latents: components["schemas"]["LatentsOutput"];
|
||||
string_replace: components["schemas"]["StringOutput"];
|
||||
range_of_size: components["schemas"]["IntegerCollectionOutput"];
|
||||
calculate_image_tiles: components["schemas"]["CalculateImageTilesOutput"];
|
||||
iterate: components["schemas"]["IterateInvocationOutput"];
|
||||
create_gradient_mask: components["schemas"]["GradientMaskOutput"];
|
||||
face_off: components["schemas"]["FaceOffOutput"];
|
||||
sdxl_refiner_model_loader: components["schemas"]["SDXLRefinerModelLoaderOutput"];
|
||||
scheduler: components["schemas"]["SchedulerOutput"];
|
||||
float_collection: components["schemas"]["FloatCollectionOutput"];
|
||||
core_metadata: components["schemas"]["MetadataOutput"];
|
||||
segment_anything_processor: components["schemas"]["ImageOutput"];
|
||||
};
|
||||
/**
|
||||
* InvocationStartedEvent
|
||||
@@ -13206,6 +13218,19 @@ export type components = {
|
||||
*/
|
||||
type?: "url";
|
||||
};
|
||||
/** UncategorizedImageCounts */
|
||||
UncategorizedImageCounts: {
|
||||
/**
|
||||
* Image Count
|
||||
* @description The number of uncategorized images.
|
||||
*/
|
||||
image_count: number;
|
||||
/**
|
||||
* Asset Count
|
||||
* @description The number of uncategorized assets.
|
||||
*/
|
||||
asset_count: number;
|
||||
};
|
||||
/**
|
||||
* Unsharp Mask
|
||||
* @description Applies an unsharp mask filter to an image
|
||||
@@ -15163,6 +15188,20 @@ export type operations = {
|
||||
};
|
||||
};
|
||||
};
|
||||
/**
|
||||
* Get Uncategorized Image Counts
|
||||
* @description Gets count of images and assets for uncategorized images (images with no board assocation)
|
||||
*/
|
||||
get_uncategorized_image_counts: {
|
||||
responses: {
|
||||
/** @description Successful Response */
|
||||
200: {
|
||||
content: {
|
||||
"application/json": components["schemas"]["UncategorizedImageCounts"];
|
||||
};
|
||||
};
|
||||
};
|
||||
};
|
||||
/**
|
||||
* Add Image To Board
|
||||
* @description Creates a board_image
|
||||
|
||||
@@ -36,7 +36,6 @@ export type AppDependencyVersions = S['AppDependencyVersions'];
|
||||
export type ImageDTO = S['ImageDTO'];
|
||||
export type BoardDTO = S['BoardDTO'];
|
||||
export type ImageCategory = S['ImageCategory'];
|
||||
export type OffsetPaginatedResults_ImageDTO_ = S['OffsetPaginatedResults_ImageDTO_'];
|
||||
|
||||
// Models
|
||||
export type ModelType = S['ModelType'];
|
||||
|
||||
@@ -127,7 +127,16 @@ def test_generate_id_with_board_id(monkeypatch: Any, mock_invoker: Invoker):
|
||||
|
||||
def mock_board_get(*args, **kwargs):
|
||||
return BoardRecord(
|
||||
board_id="12345", board_name="test_board_name", created_at="None", updated_at="None", archived=False
|
||||
board_id="12345",
|
||||
board_name="test_board_name",
|
||||
created_at="None",
|
||||
updated_at="None",
|
||||
archived=False,
|
||||
asset_count=0,
|
||||
image_count=0,
|
||||
cover_image_name="asdf.png",
|
||||
deleted_at=None,
|
||||
is_private=False,
|
||||
)
|
||||
|
||||
monkeypatch.setattr(mock_invoker.services.board_records, "get", mock_board_get)
|
||||
@@ -156,7 +165,16 @@ def test_handler_board_id(tmp_path: Path, monkeypatch: Any, mock_image_dto: Imag
|
||||
|
||||
def mock_board_get(*args, **kwargs):
|
||||
return BoardRecord(
|
||||
board_id="12345", board_name="test_board_name", created_at="None", updated_at="None", archived=False
|
||||
board_id="12345",
|
||||
board_name="test_board_name",
|
||||
created_at="None",
|
||||
updated_at="None",
|
||||
archived=False,
|
||||
asset_count=0,
|
||||
image_count=0,
|
||||
cover_image_name="asdf.png",
|
||||
deleted_at=None,
|
||||
is_private=False,
|
||||
)
|
||||
|
||||
monkeypatch.setattr(mock_invoker.services.board_records, "get", mock_board_get)
|
||||
|
||||
Reference in New Issue
Block a user