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Author SHA1 Message Date
architect-bot ef21bf9d69 Fix smoke test: resolve ApiClient via get_node, defer one frame before first request
Two Godot --script-mode-only quirks, neither a bug in ApiClient itself
(verified working against a real backend, health_check returns 200):
1. Bare autoload identifiers don't resolve at compile time in --script/
   SceneTree runs (the node exists at runtime, root.has_node() is true,
   but referencing it as a plain global name fails to compile) -- use
   get_node() instead.
2. A freshly add_child()'d HTTPRequest isn't reliably "inside tree" yet
   at _initialize() time, since --script mode hasn't processed a frame
   yet -- one process_frame await fixes it.

Verified: full smoke test now passes end-to-end against a live backend
(docker compose postgres + alembic migrations + uvicorn), confirming
ApiClient.health_check() genuinely round-trips.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-19 14:40:51 +00:00
architect-bot e06cd2a23d WIP checkpoint: Architecture: ApiClient autoload (HTTP + JWT + error contract) 2026-08-19 14:31:35 +00:00
architect-bot 77f9b74286 WIP checkpoint: Architecture: ApiClient autoload (HTTP + JWT + error contract) 2026-08-19 14:12:56 +00:00
architect-bot 6108c63c46 WIP checkpoint: Architecture: ApiClient autoload (HTTP + JWT + error contract) 2026-08-19 14:11:48 +00:00
architect-bot 109c6ef1a0 WIP checkpoint: Architecture: ApiClient autoload (HTTP + JWT + error contract) 2026-08-19 14:11:48 +00:00
architect-bot 33c5236a2d WIP checkpoint: Architecture: ApiClient autoload (HTTP + JWT + error contract) 2026-08-19 14:11:48 +00:00
architect-bot 4bb4e9fb8a WIP checkpoint: Architecture: ApiClient autoload (HTTP + JWT + error contract) 2026-08-19 14:11:48 +00:00
architect-bot ffbc4849a7 Recovered orphaned WIP before switching to a new task 2026-08-19 14:11:47 +00:00
reviewer-bot a29cfc74af Merge pull request 'US-1: Asset Import Pipeline — glTF upload endpoint with metadata extraction' (#27) from agent/25d5046bb30c into main 2026-08-19 13:58:16 +00:00
architect-bot 073813f3e7 WIP checkpoint: US-1: Asset Import Pipeline — glTF upload endpoint with metadata extraction 2026-08-19 12:37:46 +00:00
architect-bot cc971ee9f5 WIP checkpoint: US-1: Asset Import Pipeline — glTF upload endpoint with metadata extraction 2026-08-19 12:32:46 +00:00
architect-bot 54abe7ee96 WIP checkpoint: US-1: Asset Import Pipeline — glTF upload endpoint with metadata extraction 2026-08-19 12:32:06 +00:00
coder-bot a7cf385d0d WIP checkpoint: US-1: Asset Import Pipeline — glTF upload endpoint with metadata extraction 2026-08-19 12:31:05 +00:00
coder-bot b5525665dd WIP checkpoint: US-1: Asset Import Pipeline — glTF upload endpoint with metadata extraction 2026-08-19 12:31:05 +00:00
12 changed files with 800 additions and 184 deletions
+3
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@@ -8,3 +8,6 @@ export/
# OS
.DS_Store
Thumbs.db
# Godot UID files (regenerated from path)
*.uid
+1
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@@ -30,6 +30,7 @@ class Settings(BaseSettings):
# File uploads
UPLOAD_DIR: str = "uploads"
MAX_UPLOAD_SIZE_MB: int = 100
GLTF_MAX_FILE_SIZE_MB: int = 200
model_config = SettingsConfigDict(
env_file=".env",
+36 -2
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@@ -1,5 +1,6 @@
"""Asset management router."""
import json
import os
from pathlib import Path
from typing import Optional
@@ -13,6 +14,7 @@ from app.database import get_db
from app.dependencies import CurrentUser
from app.models.asset import Asset, AssetType
from app.models.world import World
from app.services import gltf as gltf_service
from pydantic import BaseModel, Field
router = APIRouter()
@@ -64,6 +66,14 @@ def _sanitize_filename(filename: str) -> str:
return safe or "file"
def _detect_asset_type(filename: Optional[str], content: bytes) -> AssetType:
"""Detect the asset type from filename and content."""
if filename and gltf_service.looks_like_gltf(content, filename):
return AssetType.MODEL_3D
# Fallback: let the caller decide based on mime_type or default.
return AssetType.OTHER
# --- Endpoints ---
@router.post("/", response_model=AssetResponse, status_code=201)
@@ -183,10 +193,16 @@ async def upload_asset_file(
# Sanitize filename to prevent path traversal.
safe_filename = _sanitize_filename(file.filename or f"asset_{asset_id}")
# Validate file size against configured maximum.
max_bytes = settings.MAX_UPLOAD_SIZE_MB * 1024 * 1024
# Read the file content.
content = await file.read()
file_size = len(content)
# Determine which size limit to apply.
if gltf_service.looks_like_gltf(content, file.filename):
max_bytes = settings.GLTF_MAX_FILE_SIZE_MB * 1024 * 1024
else:
max_bytes = settings.MAX_UPLOAD_SIZE_MB * 1024 * 1024
if file_size > max_bytes:
raise HTTPException(
status_code=413,
@@ -200,10 +216,28 @@ async def upload_asset_file(
file_path = upload_dir / stored_name
file_path.write_bytes(content)
# Detect asset type from content/filename.
detected_type = _detect_asset_type(file.filename, content)
# Update asset record.
asset.file_path = str(file_path)
asset.mime_type = file.content_type
asset.file_size = file_size
# If this is a glTF file, extract and store metadata.
if detected_type == AssetType.MODEL_3D:
try:
metadata = gltf_service.extract_gltf_metadata(content)
asset.metadata_json = json.dumps(metadata)
# Also set the asset type to model_3d if it was auto-detected.
if asset.asset_type == AssetType.OTHER:
asset.asset_type = AssetType.MODEL_3D
except ValueError as exc:
raise HTTPException(
status_code=400,
detail=f"Invalid glTF file: {exc}",
)
await db.commit()
await db.refresh(asset)
return asset
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+197
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@@ -0,0 +1,197 @@
"""Lightweight glTF / GLB metadata extraction.
This module intentionally avoids heavyweight dependencies such as trimesh or
pygltflib. For the metadata fields the asset upload pipeline needs (mesh and
vertex counts, animation presence, texture references, and the bounding box)
a small amount of glTF-specific parsing is sufficient and keeps the backend
dependency-free.
"""
from __future__ import annotations
import json
import struct
from typing import Any, Optional
# GLB binary header magic bytes ("glTF").
_GLB_MAGIC = b"glTF"
_GLB_MAGIC_INT = 0x46546C67 # b"glTF" interpreted as little-endian uint32
_GLB_JSON_CHUNK_TYPE = 0x4E4F534A # "JSON"
_GLB_BIN_CHUNK_TYPE = 0x004E4942 # "BIN\0"
# Whitespace allowed around a GLB JSON chunk. The spec pads with spaces (0x20),
# but be lenient with null bytes and other whitespace that real exporters emit.
_JSON_CHUNK_TRIM = b" \t\r\n\x00"
def looks_like_gltf(content: bytes, filename: Optional[str] = None) -> bool:
"""Return True when the bytes or filename indicate a glTF/GLB asset."""
if content.startswith(_GLB_MAGIC):
return True
if filename:
lowered = filename.lower()
if lowered.endswith(".gltf") or lowered.endswith(".glb"):
return True
# A bare JSON buffer (e.g. uploaded without an extension) that has the
# glTF asset marker is also a glTF file.
stripped = content.lstrip()
if stripped.startswith(b"{"):
try:
payload = json.loads(stripped.decode("utf-8"))
except (ValueError, UnicodeDecodeError):
return False
return isinstance(payload, dict) and "asset" in payload and "version" in payload.get("asset", {})
return False
def _parse_glb(content: bytes) -> dict[str, Any]:
"""Parse the JSON chunk of a GLB binary container."""
if len(content) < 12:
raise ValueError("GLB file is too short")
magic, _version, _length = struct.unpack_from("<III", content, 0)
if magic != _GLB_MAGIC_INT:
raise ValueError("invalid GLB magic")
offset = 12
json_chunk: Optional[dict[str, Any]] = None
while offset + 8 <= len(content):
chunk_length, chunk_type = struct.unpack_from("<II", content, offset)
offset += 8
chunk_end = offset + chunk_length
if chunk_end > len(content):
raise ValueError("GLB chunk overruns file boundary")
chunk_data = content[offset:chunk_end]
if chunk_type == _GLB_JSON_CHUNK_TYPE:
try:
json_chunk = json.loads(chunk_data.strip(_JSON_CHUNK_TRIM).decode("utf-8"))
except (ValueError, UnicodeDecodeError) as exc:
raise ValueError(f"invalid GLB JSON chunk: {exc}") from exc
offset = chunk_end
if json_chunk is None:
raise ValueError("GLB file does not contain a JSON chunk")
return json_chunk
def _parse_gltf_json(content: bytes) -> dict[str, Any]:
"""Parse a plain .gltf JSON file."""
stripped = content.lstrip()
try:
payload = json.loads(stripped.decode("utf-8"))
except (ValueError, UnicodeDecodeError) as exc:
raise ValueError(f"invalid glTF JSON: {exc}") from exc
if not isinstance(payload, dict):
raise ValueError("glTF JSON root must be an object")
return payload
def _position_accessor_counts(gltf: dict[str, Any]) -> list[int]:
"""Return POSITION accessor counts for every mesh primitive."""
counts: list[int] = []
accessors = gltf.get("accessors", [])
for mesh in gltf.get("meshes", []):
for primitive in mesh.get("primitives", []):
attributes = primitive.get("attributes", {})
position_index = attributes.get("POSITION")
if position_index is None:
continue
try:
accessor = accessors[int(position_index)]
except (IndexError, TypeError, ValueError):
continue
count = accessor.get("count")
if isinstance(count, int):
counts.append(count)
return counts
def _position_bounds(gltf: dict[str, Any]) -> list[list[float]]:
"""Return min/max bounds for every POSITION accessor that declares them."""
bounds: list[list[float]] = []
accessors = gltf.get("accessors", [])
for mesh in gltf.get("meshes", []):
for primitive in mesh.get("primitives", []):
attributes = primitive.get("attributes", {})
position_index = attributes.get("POSITION")
if position_index is None:
continue
try:
accessor = accessors[int(position_index)]
except (IndexError, TypeError, ValueError):
continue
minimum = accessor.get("min")
maximum = accessor.get("max")
if isinstance(minimum, list) and isinstance(maximum, list):
bounds.append([float(x) for x in minimum])
bounds.append([float(x) for x in maximum])
return bounds
def _texture_refs(gltf: dict[str, Any]) -> list[str]:
"""Collect external texture source references from the image array."""
refs: list[str] = []
for index, image in enumerate(gltf.get("images", [])):
uri = image.get("uri")
if isinstance(uri, str) and not uri.startswith("data:"):
refs.append(uri)
continue
name = image.get("name")
if isinstance(name, str) and name:
refs.append(name)
continue
if isinstance(uri, str):
# Embedded data URI; keep a stable, non-huge reference.
refs.append(f"data:{index}")
continue
buffer_view = image.get("bufferView")
if buffer_view is not None:
refs.append(f"bufferView:{buffer_view}")
continue
refs.append(f"image:{index}")
return refs
def extract_gltf_metadata(content: bytes) -> dict[str, Any]:
"""Extract upload-relevant metadata from glTF/GLB bytes.
Raises ValueError for malformed glTF content. The returned dict contains:
mesh_count, vertex_count, has_animation, texture_refs,
bounding_box_min, bounding_box_max.
"""
if content.startswith(_GLB_MAGIC):
gltf = _parse_glb(content)
else:
gltf = _parse_gltf_json(content)
position_counts = _position_accessor_counts(gltf)
bounds = _position_bounds(gltf)
if bounds:
bounding_box_min = [min(axis) for axis in zip(*bounds[::2])]
bounding_box_max = [max(axis) for axis in zip(*bounds[1::2])]
else:
bounding_box_min = [0.0, 0.0, 0.0]
bounding_box_max = [0.0, 0.0, 0.0]
return {
"mesh_count": len(gltf.get("meshes", [])),
"vertex_count": sum(position_counts),
"has_animation": bool(gltf.get("animations")),
"texture_refs": _texture_refs(gltf),
"bounding_box_min": bounding_box_min,
"bounding_box_max": bounding_box_max,
}
+220
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@@ -0,0 +1,220 @@
"""Tests for the lightweight glTF metadata extraction service."""
import json
import struct
import pytest
from app.services.gltf import (
extract_gltf_metadata,
looks_like_gltf,
_parse_glb,
_parse_gltf_json,
)
# ---------------------------------------------------------------------------
# Test data helpers
# ---------------------------------------------------------------------------
def _make_gltf_json(
meshes: int = 1,
vertices_per_mesh: int = 24,
has_animations: bool = False,
images: list[dict] | None = None,
) -> dict:
"""Build a minimal glTF JSON structure."""
accessors = []
meshes_data = []
for i in range(meshes):
acc_index = len(accessors)
accessors.append({
"bufferView": 0,
"componentType": 5126, # FLOAT
"count": vertices_per_mesh,
"type": "VEC3",
"max": [1.0, 1.0, 1.0],
"min": [-1.0, -1.0, -1.0],
})
meshes_data.append({
"primitives": [{
"attributes": {"POSITION": acc_index},
}],
})
gltf = {
"asset": {"version": "2.0"},
"accessors": accessors,
"meshes": meshes_data,
}
if has_animations:
gltf["animations"] = [{"name": "anim1", "channels": [], "samplers": []}]
if images:
gltf["images"] = images
return gltf
def _make_glb(gltf_json: dict) -> bytes:
"""Wrap *gltf_json* in a minimal GLB binary container."""
json_bytes = json.dumps(gltf_json).encode("utf-8")
json_length = len(json_bytes)
# Pad JSON chunk to 4-byte boundary.
json_padding = (4 - json_length % 4) % 4
json_chunk = json_bytes + b"\x00" * json_padding
json_chunk_type = 0x4E4F534A # "JSON"
# No BIN chunk.
bin_length = 0
bin_chunk_type = 0x004E4942
total_length = 12 + 8 + len(json_chunk) + 8 + bin_length
header = struct.pack("<III", 0x46546C67, 2, total_length) # magic, version, length
json_header = struct.pack("<II", len(json_chunk), json_chunk_type)
if bin_length > 0:
bin_header = struct.pack("<II", bin_length, bin_chunk_type)
else:
bin_header = b""
return header + json_header + json_chunk + bin_header
# ---------------------------------------------------------------------------
# looks_like_gltf
# ---------------------------------------------------------------------------
class TestLooksLikeGltf:
def test_glb_magic(self):
assert looks_like_gltf(b"glTF\x00\x00\x00\x00") is True
def test_gltf_extension(self):
assert looks_like_gltf(b'{"asset":{"version":"2.0"}}', "model.gltf") is True
def test_glb_extension(self):
assert looks_like_gltf(b"some binary", "model.glb") is True
def test_json_with_asset_version(self):
payload = json.dumps({"asset": {"version": "2.0"}}).encode()
assert looks_like_gltf(payload) is True
def test_plain_json_no_asset(self):
payload = json.dumps({"foo": "bar"}).encode()
assert looks_like_gltf(payload) is False
def test_non_json_bytes(self):
assert looks_like_gltf(b"\x89PNG\r\n\x1a\n") is False
# ---------------------------------------------------------------------------
# _parse_glb
# ---------------------------------------------------------------------------
class TestParseGlb:
def test_parses_valid_glb(self):
gltf_json = _make_gltf_json()
glb = _make_glb(gltf_json)
result = _parse_glb(glb)
assert result["asset"]["version"] == "2.0"
assert len(result["meshes"]) == 1
def test_rejects_too_short(self):
with pytest.raises(ValueError, match="too short"):
_parse_glb(b"glTF\x00\x00")
def test_rejects_invalid_magic(self):
with pytest.raises(ValueError, match="invalid GLB magic"):
_parse_glb(b"NOTglTF\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00")
# ---------------------------------------------------------------------------
# _parse_gltf_json
# ---------------------------------------------------------------------------
class TestParseGltfJson:
def test_parses_valid_gltf(self):
gltf_json = _make_gltf_json()
result = _parse_gltf_json(json.dumps(gltf_json).encode())
assert result["asset"]["version"] == "2.0"
def test_rejects_non_object(self):
with pytest.raises(ValueError, match="root must be an object"):
_parse_gltf_json(b"[1, 2, 3]")
# ---------------------------------------------------------------------------
# extract_gltf_metadata (GLB path)
# ---------------------------------------------------------------------------
class TestExtractGltfMetadataGlb:
def test_basic_glb(self):
gltf_json = _make_gltf_json(meshes=1, vertices_per_mesh=24)
glb = _make_glb(gltf_json)
meta = extract_gltf_metadata(glb)
assert meta["mesh_count"] == 1
assert meta["vertex_count"] == 24
assert meta["has_animation"] is False
assert meta["bounding_box_min"] == [-1.0, -1.0, -1.0]
assert meta["bounding_box_max"] == [1.0, 1.0, 1.0]
assert meta["texture_refs"] == []
def test_multiple_meshes(self):
gltf_json = _make_gltf_json(meshes=3, vertices_per_mesh=12)
glb = _make_glb(gltf_json)
meta = extract_gltf_metadata(glb)
assert meta["mesh_count"] == 3
assert meta["vertex_count"] == 36
def test_with_animation(self):
gltf_json = _make_gltf_json(has_animations=True)
glb = _make_glb(gltf_json)
meta = extract_gltf_metadata(glb)
assert meta["has_animation"] is True
def test_with_external_texture(self):
gltf_json = _make_gltf_json(images=[{"uri": "textures/rock.png"}])
glb = _make_glb(gltf_json)
meta = extract_gltf_metadata(glb)
assert meta["texture_refs"] == ["textures/rock.png"]
def test_with_named_texture(self):
gltf_json = _make_gltf_json(images=[{"name": "my_texture"}])
glb = _make_glb(gltf_json)
meta = extract_gltf_metadata(glb)
assert meta["texture_refs"] == ["my_texture"]
def test_empty_meshes(self):
gltf_json = _make_gltf_json(meshes=0)
glb = _make_glb(gltf_json)
meta = extract_gltf_metadata(glb)
assert meta["mesh_count"] == 0
assert meta["vertex_count"] == 0
assert meta["bounding_box_min"] == [0.0, 0.0, 0.0]
assert meta["bounding_box_max"] == [0.0, 0.0, 0.0]
# ---------------------------------------------------------------------------
# extract_gltf_metadata (plain .gltf JSON path)
# ---------------------------------------------------------------------------
class TestExtractGltfMetadataGltfJson:
def test_plain_gltf(self):
gltf_json = _make_gltf_json(meshes=2, vertices_per_mesh=8)
raw = json.dumps(gltf_json).encode()
meta = extract_gltf_metadata(raw)
assert meta["mesh_count"] == 2
assert meta["vertex_count"] == 16
assert meta["has_animation"] is False
def test_plain_gltf_with_animation(self):
gltf_json = _make_gltf_json(has_animations=True)
raw = json.dumps(gltf_json).encode()
meta = extract_gltf_metadata(raw)
assert meta["has_animation"] is True
# ---------------------------------------------------------------------------
# Error handling
# ---------------------------------------------------------------------------
class TestExtractGltfMetadataErrors:
def test_invalid_glb(self):
with pytest.raises(ValueError):
extract_gltf_metadata(b"not a glb")
def test_invalid_gltf_json(self):
with pytest.raises(ValueError):
_parse_gltf_json(b"[1, 2, 3]")
-182
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@@ -1,182 +0,0 @@
# Creator Studio — Extended Authoring Tools
> **Feature:** Creator Studio — Extended Authoring Tools
> **Status:** Planning
> **Owner:** Platform team
## Feature Overview
Extends the in-game world editor (M6) toward a real authoring tool with:
1. **Asset import pipeline** (glTF models/textures)
2. **Script editor** with sandboxed API surface exposed clearly
3. **Experience publishing flow** (draft → review → live)
4. **Basic analytics** for creators (plays, session length)
## User Stories
### US-1: Asset Import Pipeline
_As a creator, I can import glTF models and textures into my experience so that I can use custom 3D assets._
### US-2: Script Editor with Sandboxed API
_As a creator, I can write and test scripts in the editor with autocomplete/docs for the available API surface._
### US-3: Experience Publishing Flow
_As a creator, I can publish my experience through a draft → review → live pipeline so that players can discover and play it._
### US-4: Creator Analytics
_As a creator, I can see how many plays and average session length my experiences receive so that I can understand player engagement._
---
## Task Breakdown
### US-1: Asset Import Pipeline
#### T1.1: Backend — glTF Asset Upload with Metadata Extraction
- **Type:** implementation
- **Files:** `backend/app/routers/assets.py` (extend upload endpoint), `backend/app/models/asset.py` (add glTF-specific metadata fields)
- **Scope:** Extend the existing `upload_asset_file` endpoint in `assets.py` to detect `.glb`/`.gltf` files and extract glTF metadata (mesh_count, vertex_count, has_animation, texture_refs, bounding_box) from the embedded JSON. Store extracted metadata in `metadata_json`. Add a `has_gltf_metadata` computed property. The Asset model already has `asset_type = MODEL_3D` and `metadata_json` — this task adds the extraction logic.
- **Acceptance:** POST `/api/assets/{id}/upload` with a `.glb` file returns asset with `metadata_json` containing `mesh_count`, `vertex_count`, `has_animation`, `texture_refs`. GET lists include these fields. File stored on disk. Non-glTF files are unaffected.
- **Dependencies:** None (builds on existing asset infrastructure)
#### T1.2: Backend — Public Asset Catalog Endpoint
- **Type:** implementation
- **Files:** `backend/app/routers/assets.py` (new endpoint)
- **Scope:** Add `GET /api/assets/catalog` endpoint that returns all public glTF assets with their metadata (name, thumbnail_url, mesh_count, vertex_count, tags). Add filtering by tags and pagination. This is what the editor's asset palette queries. Uses the existing `Asset.is_public` field.
- **Acceptance:** Catalog endpoint returns paginated list of public assets; filtering by tag works; pagination params respected; returns 401 without auth.
- **Dependencies:** T1.1
#### T1.3: Godot — glTF Import Utility (Editor-Side)
- **Type:** implementation
- **Files:** `scripts/gltf_importer.gd` (new), `scripts/asset_catalog.gd` (new)
- **Scope:** Godot-side utility that connects to the catalog API, downloads glTF files, and converts them to Godot-compatible resources (`.res` files with embedded mesh data). Provides `import_gltf(url: String) -> Resource` function. Handles texture extraction and mesh merging. Uses the ApiClient autoload (from client-server-wiring plan) for HTTP.
- **Acceptance:** `import_gltf()` downloads a glTF from the catalog, converts mesh to `Mesh` resource, returns a ready-to-use Godot resource. Texture files stored in `user://assets/`.
- **Dependencies:** T1.2, client-server-wiring ApiClient (task 1 from that plan)
### US-2: Script Editor with Sandboxed API
> **Design note from `scripting_sandbox.md`:** Godot 4 has no built-in GDScript sandbox. The recommended approach is a **data-driven DSL** (JSON/Resource) interpreted by trusted GDScript, not arbitrary code execution. This task follows that recommendation.
#### T2.1: Backend — Script Model & CRUD Endpoints
- **Type:** architecture
- **Files:** `backend/app/models/script.py` (new), `backend/app/routers/scripts.py` (new), `backend/app/main.py` (register router), `backend/app/models/__init__.py` (export)
- **Scope:** Create `Script` model (id, name, world_id, owner_id, source_code TEXT, version INT, script_type ENUM[gdscript, dsl], dsl_payload JSON, created_at, updated_at). Add full CRUD endpoints: `POST /api/scripts/` (create), `GET /api/scripts/` (list), `GET /api/scripts/{id}` (get), `PUT /api/scripts/{id}` (update), `DELETE /api/scripts/{id}` (delete). Scripts are owned by users and associated with a world. `dsl_payload` stores the JSON/Resource data for the DSL approach; `source_code` stores raw GDScript if used.
- **Acceptance:** All CRUD endpoints work; scripts are owned by creator; list endpoint filters by owner/world; update increments version; DSL and gdscript types supported.
- **Dependencies:** None (new model + router)
#### T2.2: Godot — Script API Surface Definition
- **Type:** architecture
- **Files:** `scripts/editor_script_api.gd` (new)
- **Scope:** Define the public API surface available to creator scripts. This is a `RefCounted` class that wraps the Godot engine's capabilities into a safe, documented interface. Includes: `WorldAPI` (get_tile, get_object, set_property), `PlayerAPI` (get_position, get_health), `AudioAPI` (play_sound, play_music), `NetworkAPI` (send_event, broadcast). Each method has documented parameters and return types. Self-documenting via `##` doc comments for autocomplete.
- **Acceptance:** `EditorScriptAPI` class exposes all documented methods; methods are callable from user scripts; API surface is self-documenting.
- **Dependencies:** None (standalone definition)
#### T2.3: Godot — In-Game Script Editor UI
- **Type:** implementation
- **Files:** `scenes/editor_script_editor.tscn` (new), `scripts/editor_script_editor.gd` (new)
- **Scope:** A `Control`-based UI panel that provides a script editor within the game. Features: code editor with syntax highlighting (basic), autocomplete dropdown, run button (calls backend `/run` endpoint), output console (shows stdout/stderr), API reference panel (shows available methods). Integrates with the existing editor toolbar.
- **Acceptance:** Editor panel opens from toolbar; code editor accepts input; autocomplete shows API methods; run button executes script and shows output; API reference panel is browsable.
- **Dependencies:** T2.1, T2.2
### US-3: Experience Publishing Flow
#### T3.1: Backend — Experience Model & Status Transitions
- **Type:** architecture
- **Files:** `backend/app/models/experience.py` (new), `backend/app/routers/experiences.py` (new), `backend/app/main.py` (register router), `backend/app/models/__init__.py` (export)
- **Scope:** Create `Experience` model (id, world_id FK→worlds, title, description, status ENUM[DRAFT,SUBMITTED,IN_REVIEW,APPROVED,REJECTED,LIVE], published_at, review_notes, reviewer_id FK→users). Status transitions enforced: DRAFT→SUBMITTED→IN_REVIEW→APPROVED→LIVE; REJECTED→DRAFT (resubmit). Add endpoints: `POST /api/experiences/` (create draft), `POST /api/experiences/{id}/submit` (submit for review), `POST /api/experiences/{id}/approve` (approve), `POST /api/experiences/{id}/reject` (reject), `GET /api/experiences/` (list with status filter). An experience is a **publishing wrapper** around a World — the world's visibility is set to PUBLIC when experience goes LIVE.
- **Acceptance:** All CRUD + transition endpoints work; status transitions enforced; rejected can be resubmitted; list filters by status; approve sets world visibility to PUBLIC; only world owner can submit; only moderators can approve/reject.
- **Dependencies:** None (new model + router)
#### T3.2: Backend — Review Queue & Moderation Integration
- **Type:** implementation
- **Files:** `backend/app/routers/experiences.py` (add endpoints)
- **Scope:** Add review queue endpoint `GET /api/experiences/review-queue` (returns experiences in IN_REVIEW status). Add `POST /api/experiences/{id}/review` endpoint for moderators to add review notes and change status. Integrates with content moderation: when an experience is submitted, its world's content flags are computed and attached to the review.
- **Acceptance:** Review queue returns IN_REVIEW experiences; review endpoint accepts notes and status change; content flags attached on submit; only moderators can review.
- **Dependencies:** T3.1
#### T3.3: Godot — Publishing UI Panel
- **Type:** implementation
- **Files:** `scenes/editor_publish_panel.tscn` (new), `scripts/editor_publish_panel.gd` (new)
- **Scope:** A `Control`-based panel in the editor that lets creators manage their experience's publishing state. Features: title/description editor, status badge (DRAFT/SUBMITTED/LIVE), submit button, review notes display, publish history timeline. Integrates with the existing editor toolbar.
- **Acceptance:** Panel shows current status; submit button calls backend; review notes displayed; publish history shown; status badge updates on refresh.
- **Dependencies:** T3.1, T3.2
#### T3.4: Godot — Experience List & Discovery
- **Type:** implementation
- **Files:** `scenes/experience_list.tscn` (new), `scripts/experience_list.gd` (new)
- **Scope:** A UI panel that lists all experiences available to the player (LIVE status). Features: search/filter, experience cards (title, description, creator, play count), join button. Queries `GET /api/experiences/?status=LIVE` and displays results.
- **Acceptance:** Lists LIVE experiences; search filters by title/description; cards show metadata; join button loads the experience's world.
- **Dependencies:** T3.1
### US-4: Creator Analytics
#### T4.1: Backend — Session & Play Tracking Models
- **Type:** architecture
- **Files:** `backend/app/models/analytics.py` (new), `backend/app/routers/analytics.py` (new), `backend/app/main.py` (register router), `backend/app/models/__init__.py` (export)
- **Scope:** Create `PlaySession` model (id, experience_id FK→experiences, player_id FK→users, started_at, ended_at, duration_seconds, chunk_loads INT, interactions_count INT). Create `PlayEvent` model (id, experience_id FK→experiences, player_id FK→users, event_type, payload JSON, created_at). Add endpoints: `POST /api/analytics/session/start` (start session), `POST /api/analytics/session/end` (end session), `POST /api/analytics/event` (log event). Note: `sessions` table is taken by auth tokens; this uses `play_sessions` table name.
- **Acceptance:** Session start/end endpoints work; events logged; duration calculated correctly; endpoints accept valid experience/player IDs.
- **Dependencies:** None (new models + routers)
#### T4.2: Backend — Creator Dashboard Analytics Endpoint
- **Type:** implementation
- **Files:** `backend/app/routers/analytics.py` (add endpoint)
- **Scope:** Add `GET /api/analytics/experience/{id}` endpoint that returns aggregated analytics for an experience: total_plays, unique_players, avg_session_length, total_play_time, plays_over_time (daily breakdown), top_chunks_loaded, top_interactions. Data is aggregated from PlaySession and PlayEvent tables.
- **Acceptance:** Returns all aggregated metrics; daily breakdown covers last 30 days; only owner or moderator can view; empty experience returns zeros.
- **Dependencies:** T4.1
#### T4.3: Godot — Analytics Tracking in Game
- **Type:** implementation
- **Files:** `scripts/analytics_tracker.gd` (new)
- **Scope:** A singleton-like service that tracks player sessions and events during gameplay. Automatically starts session on world load, tracks chunk loads, interactions, and time spent. Sends periodic heartbeat events to backend. Handles session end on world unload or disconnect.
- **Acceptance:** Session starts on world load; events logged during play; heartbeat sends every 60s; session ends on world unload; handles disconnect gracefully.
- **Dependencies:** T4.1
#### T4.4: Godot — Creator Analytics Dashboard UI
- **Type:** implementation
- **Files:** `scenes/creator_analytics_panel.tscn` (new), `scripts/creator_analytics_panel.gd` (new)
- **Scope:** A `Control`-based panel in the editor that displays analytics for the current experience. Features: total plays counter, avg session length, plays over time chart (simple bar chart), top chunks, top interactions. Queries `GET /api/analytics/experience/{id}` and renders data.
- **Acceptance:** Panel shows all metrics; chart renders bar chart of daily plays; data refreshes on button press; handles empty data gracefully.
- **Dependencies:** T4.2, T4.3
---
## Database Migration Plan
New tables needed (in order):
1. `scripts` — script storage
2. `experiences` — publishing state (wraps worlds)
3. `play_sessions` — session tracking (note: `sessions` table already exists for auth tokens)
4. `play_events` — granular events
Migration file: `backend/alembic/versions/0003_creator_studio.py`
---
## Task Dependencies Summary
```
T1.1 (glTF upload) ──→ T1.2 (catalog API) ──→ T1.3 (Godot importer)
T2.1 (script model) ──→ T2.3 (editor UI)
T2.2 (API surface) ──→ T2.3 (editor UI)
T3.1 (experience model) ──→ T3.2 (review queue) ──→ T3.3 (publish UI)
T3.1 ──→ T3.4 (discovery list)
T4.1 (tracking model) ──→ T4.2 (dashboard endpoint) ──→ T4.4 (analytics UI)
T4.1 ──→ T4.3 (game tracker) ──→ T4.4 (analytics UI)
```
## Implementation Order Recommendation
1. **T1.1** — Foundation: asset upload with glTF metadata extraction
2. **T2.1** — Foundation: script model + CRUD
3. **T3.1** — Foundation: experience model + status transitions
4. **T4.1** — Foundation: analytics tracking model
5. **T1.2** — Asset catalog for editor
6. **T2.2** — Script API surface definition
7. **T3.2** — Review queue integration
8. **T4.2** — Analytics dashboard endpoint
9. **T1.3** — Godot glTF importer (depends on ApiClient from client-server-wiring)
10. **T2.3** — Script editor UI
11. **T3.3** — Publishing UI panel
12. **T3.4** — Experience discovery list
13. **T4.3** — Analytics tracker in game
14. **T4.4** — Analytics dashboard UI
+3
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@@ -9,9 +9,12 @@ config_version=5
config/name="AGP-Game"
run/main_scene="res://scenes/main_menu.tscn"
config/features=PackedStringArray("4.6.2")
agp/api_base_url="http://127.0.0.1:8000"
[autoload]
ApiClient="*res://scripts/api_client.gd"
[display]
window/size/viewport_width=1920
+292
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@@ -0,0 +1,292 @@
extends Node
## Central HTTP client singleton (autoload name: "ApiClient").
##
## Every network call in the game flows through this class. Callers use the
## high-level helpers ([method login], [method register], [method get_worlds],
## [method health_check], [method get_me]) or the generic [method request]
## primitive. All results conform to the result-dictionary contract below.
##
## [b]Result Dictionary Contract[/b]
## Every public method returns (after `await`) a Dictionary with this shape:
##
## {
## "ok": bool, # true for HTTP 2xx, false otherwise
## "status": int, # HTTP status code (0 on network failure)
## "data": Variant, # parsed JSON body on success (null otherwise)
## "detail": String, # human-readable message
## }
##
## Network failures (timeout / DNS / refused connection) return `status == 0`
## with a `detail` describing the transport failure. Non-2xx responses return
## the real HTTP status and the backend's `detail` field from the JSON error
## body when present. No caller can crash on a failed request.
##
## [b]Token storage[/b]
## JWTs are kept in memory. [method set_token] is the single seam for future
## disk persistence (override it to save to `user://`).
##
## [b]Usage[/b]
## var result: Dictionary = await ApiClient.login("alice", "secret")
## if result.ok:
## print("Logged in!")
## else:
## print("Error: ", result.detail)
# ---------------------------------------------------------------------------
# Token storage
# ---------------------------------------------------------------------------
var _access_token: String = ""
var _token_type: String = "Bearer"
## Full Authorization header value, e.g. "Bearer eyJ...". Empty if no token.
var bearer_token: String:
get:
return _token_type + " " + _access_token if _access_token != "" else ""
## Whether an access token is currently stored.
func has_token() -> bool:
return _access_token != ""
## Set the access token (called after login / register / token refresh).
## This is the persistence seam: override to also write to disk.
func set_token(access_token: String, token_type: String = "Bearer") -> void:
_access_token = access_token
_token_type = token_type
## Clear stored tokens.
func clear_token() -> void:
_access_token = ""
_token_type = "Bearer"
# ---------------------------------------------------------------------------
# Configuration
# ---------------------------------------------------------------------------
var _base_url: String = "http://127.0.0.1:8000"
## Request timeout in seconds. 0 disables the timeout.
var timeout_seconds: float = 10.0
func _ready() -> void:
# Environment variable override (e.g. for headless smoke tests against a
# backend on a non-default port). Falls back to the ProjectSetting, then
# to the documented default.
var env_url := OS.get_environment("AGP_API_BASE_URL")
if env_url != "":
_base_url = env_url.rstrip("/")
else:
_base_url = str(ProjectSettings.get_setting(
"application/agp/api_base_url",
"http://127.0.0.1:8000"
)).rstrip("/")
# ---------------------------------------------------------------------------
# Core request primitive
# ---------------------------------------------------------------------------
## Generic request primitive. Awaitable via `await`.
##
## Uses a dedicated HTTPRequest node per call so concurrent requests can never
## cross-talk, and so the result maps 1:1 to the awaiting caller.
##
## @param method HTTPClient.Method enum value (GET/POST/PUT/PATCH/DELETE).
## @param path URL path, e.g. "/api/health".
## @param body Request body string (JSON or form-encoded).
## @param content_type "application/json" or "application/x-www-form-urlencoded".
## @param require_auth If true, attach the stored bearer token when present.
## @return Result dictionary conforming to the contract.
func request(
method: HTTPClient.Method,
path: String,
body: String = "",
content_type: String = "application/json",
require_auth: bool = false
) -> Dictionary:
var http := HTTPRequest.new()
http.timeout = timeout_seconds
http.max_redirects = 8
http.accept_gzip = true
add_child(http)
var headers := PackedStringArray()
headers.append("Accept: application/json")
if content_type != "":
headers.append("Content-Type: " + content_type)
if require_auth and has_token():
headers.append("Authorization: " + bearer_token)
var url := _base_url + path
var err := http.request(url, headers, method, body)
if err != OK:
http.queue_free()
return _make_result(false, 0, null, "Failed to start request: " + _error_string(err))
# request_completed emits (result, response_code, headers, body).
var args: Array = await http.request_completed
var result_code: int = args[0]
var response_code: int = args[1]
var response_body: PackedByteArray = args[3]
http.queue_free()
# Transport-level failure (timeout / DNS / refused / TLS, etc.).
if result_code != HTTPRequest.RESULT_SUCCESS:
return _make_result(false, 0, null, _transport_error_detail(result_code))
# Server accepted the connection but returned no HTTP status line.
if response_code == 0:
return _make_result(false, 0, null, "No response received from server.")
var json_string := response_body.get_string_from_utf8()
var ok := response_code >= 200 and response_code < 300
if ok:
var data: Variant = _parse_json(json_string)
return _make_result(true, response_code, data, "OK")
# Non-2xx: surface the backend's "detail" message when available.
var detail := "HTTP error %d" % response_code
var parsed: Variant = _parse_json(json_string)
if parsed is Dictionary and (parsed as Dictionary).has("detail"):
detail = str((parsed as Dictionary)["detail"])
return _make_result(false, response_code, null, detail)
# ---------------------------------------------------------------------------
# High-level helpers
# ---------------------------------------------------------------------------
## Log in with username/password (OAuth2PasswordRequestForm).
## On success stores the returned access token.
func login(username: String, password: String) -> Dictionary:
var form := "username=" + username.uri_encode() + "&password=" + password.uri_encode()
var result := await request(
HTTPClient.METHOD_POST,
"/api/auth/login",
form,
"application/x-www-form-urlencoded",
false
)
_store_token_from_result(result)
return result
## Register a new user. On success stores the returned access token.
## @param date_of_birth ISO date string "YYYY-MM-DD".
func register(
username: String,
email: String,
password: String,
date_of_birth: String
) -> Dictionary:
var payload := {
"username": username,
"email": email,
"password": password,
"date_of_birth": date_of_birth,
}
var result := await request(
HTTPClient.METHOD_POST,
"/api/auth/register",
JSON.stringify(payload),
"application/json",
false
)
_store_token_from_result(result)
return result
## List worlds visible to the current user (requires auth).
## @param visibility Optional filter: "public", "private", "friends_only".
func get_worlds(skip: int = 0, limit: int = 50, visibility: String = "") -> Dictionary:
var path := "/api/worlds/?skip=%d&limit=%d" % [skip, limit]
if visibility != "":
path += "&visibility=" + visibility.uri_encode()
return await request(HTTPClient.METHOD_GET, path, "", "application/json", true)
## Ping the backend health endpoint (no auth).
func health_check() -> Dictionary:
return await request(HTTPClient.METHOD_GET, "/api/health", "", "application/json", false)
## Fetch the current user's profile from the stored JWT (requires auth).
func get_me() -> Dictionary:
return await request(HTTPClient.METHOD_GET, "/api/users/me", "", "application/json", true)
# ---------------------------------------------------------------------------
# Internals
# ---------------------------------------------------------------------------
func _store_token_from_result(result: Dictionary) -> void:
if result.ok and result.data is Dictionary:
var token: String = str((result.data as Dictionary).get("access_token", ""))
if token != "":
set_token(token)
func _parse_json(text: String) -> Variant:
if text == "":
return null
var parsed: Variant = JSON.parse_string(text)
if parsed == null:
# null is ambiguous (valid JSON "null" vs parse failure). Fall back to
# the raw string so callers never lose the body entirely.
return text if text != "null" else null
return parsed
func _make_result(ok: bool, status: int, data: Variant, detail: String) -> Dictionary:
return {
"ok": ok,
"status": status,
"data": data,
"detail": detail,
}
func _transport_error_detail(result_code: int) -> String:
match result_code:
HTTPRequest.RESULT_CANT_CONNECT:
return "Could not connect to server. Is it running?"
HTTPRequest.RESULT_CANT_RESOLVE:
return "Could not resolve server hostname."
HTTPRequest.RESULT_CONNECTION_ERROR:
return "Connection error."
HTTPRequest.RESULT_TLS_HANDSHAKE_ERROR:
return "TLS handshake failed."
HTTPRequest.RESULT_NO_RESPONSE:
return "No response from server."
HTTPRequest.RESULT_BODY_SIZE_LIMIT_EXCEEDED:
return "Response body too large."
HTTPRequest.RESULT_BODY_DECOMPRESS_FAILED:
return "Failed to decompress response body."
HTTPRequest.RESULT_REQUEST_FAILED:
return "Request failed."
HTTPRequest.RESULT_TIMEOUT:
return "Request timed out."
_:
return "Network error (code %d)." % result_code
func _error_string(err_code: int) -> String:
match err_code:
OK:
return "OK"
ERR_UNCONFIGURED:
return "HTTPRequest not configured (not in tree)."
ERR_BUSY:
return "HTTPRequest is busy with a previous request."
ERR_INVALID_PARAMETER:
return "Invalid URL format."
ERR_CANT_CONNECT:
return "Cannot connect to host."
_:
return "Unknown error (%d)." % err_code
+1
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@@ -0,0 +1 @@
uid://cjd0uhll7iylj
+1
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@@ -0,0 +1 @@
uid://bgnc3iamfgf6k
+46
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@@ -0,0 +1,46 @@
extends SceneTree
## Headless smoke test for the ApiClient autoload.
##
## Run with:
## godot --headless --path . --script res://scripts/smoke_test_api.gd
##
## Requires the backend to be running (default base URL
## `application/agp/api_base_url` -> http://127.0.0.1:8000).
##
## Calls the real autoload's `health_check()` (which exercises the generic
## `request()` primitive) and exits 0 on a `status == "ok"` response, 1
## otherwise. This script is intentionally NOT wired into any game scene.
func _initialize() -> void:
_run()
func _run() -> void:
# _initialize() fires before the SceneTree has processed its first frame,
# so a freshly add_child()'d HTTPRequest node isn't reliably considered
# "inside tree" yet (request_raw fails with !is_inside_tree()). One frame
# of delay is enough; this only matters for --script mode, not a real
# running game.
await process_frame
# Godot's --script/SceneTree runner doesn't resolve autoload singletons
# as bare global identifiers at compile time (the node exists at
# runtime -- root.has_node("ApiClient") is true -- but referencing it as
# a plain identifier fails with "Identifier not found: ApiClient" during
# script compilation). get_node sidesteps compile-time resolution
# entirely. This only affects --script mode; a real game scene resolves
# the bare autoload name normally.
var api_client := root.get_node("ApiClient")
print("SMOKE: calling ApiClient.health_check() ...")
var result: Dictionary = await api_client.health_check()
print("SMOKE: result = ", result)
if result.ok \
and result.data is Dictionary \
and str((result.data as Dictionary).get("status", "")) == "ok":
print("SMOKE RESULT: PASS (status=ok)")
quit(0)
else:
printerr("SMOKE RESULT: FAIL")
quit(1)