feat(api): support JSON for preset imports

This allows us to support Fooocus format presets.

invokeai/app/api/routers/style_presets.py

@@ -1,13 +1,15 @@
+import csv
 import io
 import json
 import traceback
+from codecs import iterdecode
 from typing import Optional
 
 import pydantic
 from fastapi import APIRouter, File, Form, HTTPException, Path, UploadFile
 from fastapi.responses import FileResponse
 from PIL import Image
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, ValidationError
 
 from invokeai.app.api.dependencies import ApiDependencies
 from invokeai.app.api.routers.model_manager import IMAGE_MAX_AGE
@@ -16,11 +18,10 @@ from invokeai.app.services.style_preset_records.style_preset_records_common impo
     PresetData,
     PresetType,
     StylePresetChanges,
-    StylePresetImportValidationError,
+    StylePresetImportListTypeAdapter,
     StylePresetNotFoundError,
     StylePresetRecordWithImage,
     StylePresetWithoutId,
-    parse_csv,
 )
 
 
@@ -234,21 +235,36 @@ async def get_style_preset_image(
     operation_id="import_style_presets",
 )
 async def import_style_presets(file: UploadFile = File(description="The file to import")):
-    if not file.filename.endswith(".csv"):
-        raise HTTPException(status_code=400, detail="Invalid file type")
+    if file.content_type not in ["text/csv", "application/json"]:
+        raise HTTPException(status_code=400, detail="Unsupported file type")
 
     try:
-        parsed_data = parse_csv(file)
-    except StylePresetImportValidationError:
-        raise HTTPException(
-            status_code=400, detail="Invalid CSV format: must include columns 'name', 'prompt', and 'negative_prompt'"
-        )
+        if file.content_type == "text/csv":
+            csv_reader = csv.DictReader(iterdecode(file.file, "utf-8"))
+            data = list(csv_reader)
+        else:  # file.content_type == "application/json":
+            json_data = await file.read()
+            data = json.loads(json_data)
 
-    style_presets: list[StylePresetWithoutId] = []
+        imported_presets = StylePresetImportListTypeAdapter.validate_python(data)
 
-    for style_preset in parsed_data:
-        preset_data = PresetData(positive_prompt=style_preset.prompt, negative_prompt=style_preset.negative_prompt)
-        style_preset = StylePresetWithoutId(name=style_preset.name, preset_data=preset_data, type=PresetType.User)
-        style_presets.append(style_preset)
+        style_presets: list[StylePresetWithoutId] = []
 
-    ApiDependencies.invoker.services.style_preset_records.create_many(style_presets)
+        for imported in imported_presets:
+            preset_data = PresetData(positive_prompt=imported.positive_prompt, negative_prompt=imported.negative_prompt)
+            style_preset = StylePresetWithoutId(name=imported.name, preset_data=preset_data, type=PresetType.User)
+            style_presets.append(style_preset)
+        ApiDependencies.invoker.services.style_preset_records.create_many(style_presets)
+    except ValidationError:
+        if file.content_type == "text/csv":
+            raise HTTPException(
+                status_code=400,
+                detail="Invalid CSV format: must include columns 'name', 'prompt', and 'negative_prompt'",
+            )
+        else:  # file.content_type == "application/json":
+            raise HTTPException(
+                status_code=400,
+                detail="Invalid JSON format: must be a list of objects with keys 'name', 'prompt', and 'negative_prompt'",
+            )
+    finally:
+        file.file.close()

invokeai/app/services/style_preset_records/style_preset_records_common.py

@@ -1,9 +1,6 @@
-import csv
-import io
 from enum import Enum
-from typing import Any, Generator, Optional
+from typing import Any, Optional
 
-from fastapi import UploadFile
 from pydantic import AliasChoices, BaseModel, ConfigDict, Field, TypeAdapter
 
 from invokeai.app.util.metaenum import MetaEnum
@@ -72,17 +69,3 @@ class StylePresetImportRow(BaseModel):
 
 StylePresetImportList = list[StylePresetImportRow]
 StylePresetImportListTypeAdapter = TypeAdapter(StylePresetImportList)
-
-
-def parse_csv(file: UploadFile) -> Generator[StylePresetImportRow, None, None]:
-    """Yield parsed and validated rows from the CSV file."""
-    file_content = file.file.read().decode("utf-8")
-    csv_reader = csv.DictReader(io.StringIO(file_content))
-
-    for row in csv_reader:
-        if "name" not in row or "prompt" not in row or "negative_prompt" not in row:
-            raise StylePresetImportValidationError()
-
-        yield StylePresetImportRow(
-            name=row["name"].strip(), positive_prompt=row["prompt"].strip(), negative_prompt=row["negative_prompt"].strip()
-        )