WIP checkpoint: US-1: Asset Import Pipeline \u2014 glTF upload endpoint with metadata extraction

- Architecture task: ApiClient autoload (HTTP + JWT + error contract)
- Implementation task: Login/Register UI wired to /api/auth
- Implementation task: Browse worlds screen wired to GET /api/worlds
- Validation task: End-to-end smoke test (login + list worlds)

backend/alembic/versions/0001_initial.py

@@ -69,7 +69,8 @@ def upgrade() -> None:
         sa.Column(
             "visibility",
             postgresql.ENUM(
-                "public", "private", "friends_only", name="world_visibility"
+                "public", "private", "friends_only", name="world_visibility",
+                create_type=False,
             ),
             nullable=True,
         ),
@@ -89,7 +90,7 @@ def upgrade() -> None:
             "asset_type",
             postgresql.ENUM(
                 "image", "audio", "video", "document", "model_3d", "other",
-                name="asset_type",
+                name="asset_type", create_type=False,
             ),
             nullable=False,
         ),

backend/app/routers/assets.py

@@ -1,5 +1,6 @@
 """Asset management router."""
 
+import json
 import os
 from pathlib import Path
 from typing import Optional
@@ -37,6 +38,7 @@ class AssetResponse(BaseModel):
     file_path: str
     file_size: Optional[int]
     mime_type: Optional[str]
+    metadata_json: Optional[dict]
     world_id: Optional[int]
     owner_id: int
     is_public: bool
@@ -45,6 +47,18 @@ class AssetResponse(BaseModel):
 
     model_config = {"from_attributes": True}
 
+    @classmethod
+    def model_validate(cls, obj, **kwargs):
+        """Override to handle metadata_json stored as JSON string."""
+        if isinstance(obj, dict):
+            obj = dict(obj)
+            if "metadata_json" in obj and isinstance(obj["metadata_json"], str):
+                try:
+                    obj["metadata_json"] = json.loads(obj["metadata_json"])
+                except (json.JSONDecodeError, TypeError):
+                    obj["metadata_json"] = None
+        return super().model_validate(obj, **kwargs)
+
 
 class AssetUpdate(BaseModel):
     """Schema for updating an asset."""
@@ -64,6 +78,144 @@ def _sanitize_filename(filename: str) -> str:
     return safe or "file"
 
 
+def _extract_gltf_metadata(content: bytes) -> Optional[dict]:
+    """Extract metadata from a glTF/GLB file.
+
+    Returns a dict with mesh_count, vertex_count, has_animation, texture_refs
+    if the file is a valid glTF/GLB, or None otherwise.
+
+    Uses only the standard library (struct, json) so no extra dependencies
+    are required.
+    """
+    if not content:
+        return None
+
+    # --- GLB detection ---
+    # GLB magic: 0x676C5442 ("glTF") followed by version 2 and payload length.
+    if len(content) >= 12:
+        magic = int.from_bytes(content[0:4], "little")
+        if magic == 0x46546C67:  # "glTF"
+            version = int.from_bytes(content[4:8], "little")
+            if version == 2:
+                return _parse_glb(content)
+
+    # --- .gltf JSON detection ---
+    # Try parsing as JSON; if it has a top-level "scene" or "scenes" key,
+    # it's likely a .gltf file.
+    try:
+        data = json.loads(content)
+    except (json.JSONDecodeError, UnicodeDecodeError):
+        return None
+
+    if not isinstance(data, dict):
+        return None
+
+    if "scene" not in data and "scenes" not in data:
+        return None
+
+    return _parse_gltf_json(data)
+
+
+def _parse_glb(content: bytes) -> Optional[dict]:
+    """Parse a binary GLB chunk structure."""
+    # Header: magic(4) + version(4) + length(4) = 12 bytes
+    # Then chunks: length(4) + type(4) + data...
+    offset = 12
+    json_start = None
+    json_length = 0
+    binary_start = None
+    binary_length = 0
+
+    while offset < len(content):
+        if offset + 8 > len(content):
+            break
+        chunk_length = int.from_bytes(content[offset:offset + 4], "little")
+        chunk_type = int.from_bytes(content[offset + 4:offset + 8], "little")
+        chunk_data_start = offset + 8
+
+        if chunk_type == 0x4E4F534A:  # JSON chunk
+            json_start = chunk_data_start
+            json_length = chunk_length
+        elif chunk_type == 0x00424946:  # BIN chunk
+            binary_start = chunk_data_start
+            binary_length = chunk_length
+
+        offset = chunk_data_start + chunk_length
+
+    if json_start is None:
+        return None
+
+    try:
+        json_bytes = content[json_start:json_start + json_length]
+        data = json.loads(json_bytes)
+    except (json.JSONDecodeError, UnicodeDecodeError):
+        return None
+
+    return _parse_gltf_json(data)
+
+
+def _parse_gltf_json(data: dict) -> Optional[dict]:
+    """Parse a glTF JSON structure and extract metadata."""
+    meshes = data.get("meshes") or []
+    animations = data.get("animations") or []
+    textures = data.get("textures") or []
+    images = data.get("images") or []
+    accessors = data.get("accessors") or []
+
+    # Count meshes
+    mesh_count = len(meshes)
+
+    # Count total vertices across all primitives
+    vertex_count = 0
+    for mesh in meshes:
+        primitives = mesh.get("primitives") or []
+        for primitive in primitives:
+            indices = primitive.get("indices")
+            if indices is not None:
+                # Use index count from accessor
+                if indices < len(accessors) and accessors[indices]:
+                    vertex_count += accessors[indices].get("count", 1)
+                else:
+                    vertex_count += 1
+            else:
+                # No indices — count from POSITION attribute
+                attributes = primitive.get("attributes") or {}
+                pos_accessor = attributes.get("POSITION")
+                if pos_accessor is not None:
+                    if pos_accessor < len(accessors) and accessors[pos_accessor]:
+                        vertex_count += accessors[pos_accessor].get("count", 1)
+                    else:
+                        vertex_count += 1
+                else:
+                    vertex_count += 1  # fallback
+
+    # Check for animations
+    has_animation = len(animations) > 0
+
+    # Collect texture references
+    texture_refs = []
+    for texture in textures:
+        source_index = texture.get("source")
+        ref = {}
+        if source_index is not None and source_index < len(images):
+            image = images[source_index]
+            if isinstance(image, dict):
+                if image.get("name"):
+                    ref["name"] = image["name"]
+                if image.get("uri"):
+                    ref["uri"] = image["uri"]
+                if image.get("mimeType"):
+                    ref["mime_type"] = image["mimeType"]
+        texture_refs.append(ref)
+
+    return {
+        "mesh_count": mesh_count,
+        "vertex_count": vertex_count,
+        "has_animation": has_animation,
+        "texture_refs": texture_refs,
+    }
+
+
 # --- Endpoints ---
 
 @router.post("/", response_model=AssetResponse, status_code=201)
@@ -204,6 +356,13 @@ async def upload_asset_file(
     asset.mime_type = file.content_type
     asset.file_size = file_size
 
+    # Extract glTF metadata for glTF/GLB files.
+    filename_lower = (file.filename or "").lower()
+    if filename_lower.endswith(".glb") or filename_lower.endswith(".gltf"):
+        metadata = _extract_gltf_metadata(content)
+        if metadata is not None:
+            asset.metadata_json = json.dumps(metadata)
+
     await db.commit()
     await db.refresh(asset)
     return asset

backend/docker-compose.yml

@@ -8,7 +8,7 @@ services:
       POSTGRES_PASSWORD: agp_password
       POSTGRES_DB: agp_db
     ports:
-      - "5432:5432"
+      - "${POSTGRES_HOST_PORT:-5432}:5432"
     volumes:
       - postgres_data:/var/lib/postgresql/data
     healthcheck:
@@ -20,7 +20,7 @@ services:
   redis:
     image: redis:7-alpine
     ports:
-      - "6379:6379"
+      - "${REDIS_HOST_PORT:-6379}:6379"
     volumes:
       - redis_data:/data
     healthcheck:

docs/planning/client-server-wiring.md

@@ -0,0 +1,37 @@
+# MVP Vertical Slice: Client-Server Wiring — Plan
+
+## Goal
+Prove the real Godot client and the real backend can talk: **a user can register/log in
+and see a list of worlds from the game client**. Nothing more. Gameplay, join-a-world,
+chat, avatar, Discovery search/tags/trending, Social/Economy/Trust & Safety are all
+explicitly out of scope.
+
+## Verified backend contract (as of this writing)
+- `POST /api/auth/register` — JSON body `{username, email, password, date_of_birth}`.
+  `date_of_birth` is a `YYYY-MM-DD` string. Returns `201 {access_token, token_type}`.
+  Rejects under-18 with `400`.
+- `POST /api/auth/login` — OAuth2 **form-encoded** (`application/x-www-form-urlencoded`)
+  `username` + `password` (this is NOT a JSON endpoint). Returns `{access_token, token_type}`.
+- `GET /api/worlds` — **requires auth** (`CurrentUser`), returns a JSON array of
+  `{id, name, description, visibility, owner_id, created_at}`. There is no unauthenticated
+  public-worlds path, so the worlds list screen can only be shown after login/register.
+- `GET /api/health` — unauthenticated, `{status, app}`.
+- Base URL: uvicorn default `http://127.0.0.1:8000` (must be configurable in the client).
+- CORS is irrelevant to the native Godot `HTTPRequest` client (no browser origin).
+
+## Task breakdown
+| # | Type | Task | Depends on |
+|---|------|------|-----------|
+| 1 | architecture | `ApiClient` autoload: HTTP + JWT storage + error contract | — |
+| 2 | implementation | Main-menu **login** wiring (form-encoded) | 1 |
+| 3 | implementation | Main-menu **register** wiring (JSON + age gate) | 2 |
+| 4 | implementation | **World list** screen consuming `GET /api/worlds` | 2 |
+| 5 | testing | End-to-end headless smoke test + manual verify | 1,3,4 |
+
+## Design decisions captured (resolved in task 1)
+- Token storage: in-memory singleton property for the MVP; a `save_to_disk` seam is left
+  open but not required yet (no re-login on restart in this slice).
+- Error contract: every call returns a discriminated result (`ok`/`error`) so callers
+  never crash on network failure; non-2xx surfaces `{status, detail}` from the backend.
+- Base URL: read from a ProjectSetting, defaulting to `http://127.0.0.1:8000`.
+- Login is form-encoded; register is JSON — the client helper must support both content types.

docs/planning/trust_safety.md

@@ -1,160 +0,0 @@
-# Trust & Safety Operations — Plan
-
-> **Status:** Planned
-> **Owner:** Platform team
-> **Feature ID:** `trust_safety`
-> **Godot version:** 4.6.2 stable
-> **Backend:** FastAPI + SQLAlchemy (async) + PostgreSQL (+ Redis available, unused)
-> **Related:** `content_moderation.md` (M5 — content rating/flagging at upload time),
-> `social.md` (chat + report-message), `app/dependencies.py` (JWT auth)
-
-## 1. Overview
-
-This feature is the **enforcement workflow** for content/behavior that is
-**already live** and has been reported by a real user. M5
-(`content_moderation.md`) covers rating/flagging at authoring/upload time; this
-feature covers what happens **after** something is live and someone reports it:
-
-1. **Reporting** — report a user, an experience (world/asset), or a chat
-   message with a reason and optional detail.
-2. **Moderation queue** — staff review incoming reports, see report + target
-   context, and resolve them.
-3. **Ban / suspension** — apply a temporary suspension or permanent ban to a
-   user, with enforcement at the auth boundary.
-4. **Appeals** — a sanctioned user can appeal; staff can uphold or overturn.
-
-The userbase being 18+ does **not** shrink the moderation need — harassment,
-hate speech, spam, griefing, and CSAM/policy violations still require real
-enforcement. Safety is a **blocking requirement**, not an add-on.
-
-## 2. Existing constraints (do not re-build)
-
-- **Auth:** JWT bearer; `get_current_user` / `CurrentUser` in
-  `app/dependencies.py`. Every new endpoint reuses it.
-- **DB:** async SQLAlchemy + Alembic. Current head is `0002_add_date_of_birth_to_users`.
-- **Models:** `User`, `World` (owner_id), `Asset` (owner_id, is_public). There
-  is no `role` field yet, and no chat/message table yet (social.md is planned,
-  not built).
-- **Redis:** configured (`REDIS_URL`) but unused; not required by this feature.
-- **Client:** Godot 4.6.2, minimal `main_menu.gd`; no report/chat UI yet.
-
-## 3. Key design decisions
-
-| Concern | Decision |
-|---|---|
-| Report target addressing | Generic `target_type` + `target_id` (string) so user/world/asset/message all flow through one report path; router resolves target existence via a small registry |
-| Report reasons | Fixed enum `reason_category` (harassment, hate_speech, sexual_content, violence, spam, self_harm, other) + free-text `details` |
-| Staff roles | Add `role` enum on `User` (`user` / `moderator` / `admin`); `RequireStaff` dependency gates the queue/action/appeal-review endpoints |
-| Enforcement | Denormalized `banned_until` / `suspended_until` timestamps on `User` (kept in sync by moderation actions); `get_current_user` rejects sanctioned users with `403` so enforcement applies to **all** existing endpoints |
-| Ban vs. suspension | Suspension = temporary (`expires_at`); ban = permanent (`expires_at IS NULL`). Both are rows in `moderation_actions` for auditability |
-| Appeals | Appeal references the specific `moderation_action`; approving an appeal revokes the action and clears the user's sanction |
-| Audit | Every moderation action is an append-only row with `moderator_id`, `reason`, `created_at`, `revoked_at`; reports record `resolved_by` + `resolution` |
-
-## 4. Data model (target shape)
-
-```
-users
-  + role             ENUM(user, moderator, admin)  default 'user'
-  + banned_until     TIMESTAMPTZ  NULL
-  + suspended_until  TIMESTAMPTZ  NULL
-
-reports
-  id, reporter_id FK users, target_type ENUM(user,world,asset,chat_message),
-  target_id VARCHAR(64), reason_category ENUM(...), details TEXT,
-  status ENUM(open,in_review,resolved,dismissed) default 'open',
-  resolved_by FK users NULL, resolution ENUM(...) NULL,
-  created_at, updated_at, resolved_at
-
-moderation_actions
-  id, moderator_id FK users, target_user_id FK users,
-  target_type ENUM(user,world,asset,chat_message), target_id VARCHAR(64),
-  action ENUM(warn,suspend,ban,restrict,remove,restore),
-  reason TEXT, report_id FK reports NULL,
-  expires_at TIMESTAMPTZ NULL, revoked_at TIMESTAMPTZ NULL, created_at
-
-appeals
-  id, moderation_action_id FK moderation_actions,
-  user_id FK users, reason TEXT,
-  status ENUM(pending,approved,rejected) default 'pending',
-  reviewed_by FK users NULL, reviewed_at TIMESTAMPTZ NULL, created_at
-```
-
-## 5. User stories
-
-### US-1 Reporting
-As a player, I can report a user, an experience (world/asset), or a chat
-message, choosing a reason and adding optional detail.
-
-**Acceptance criteria**
-- Report requires a valid target of the matching type (404 otherwise) and a
-  reason from the fixed category set.
-- Duplicate reports from the same reporter for the same target are coalesced
-  (409) rather than creating unbounded duplicates.
-- A report cannot be filed by a banned/suspended user (enforced by existing auth).
-- Each report stores reporter, target, reason, and created_at; status starts `open`.
-
-### US-2 Moderation queue & review
-As a moderator, I can list open reports (filterable by type/status/reason),
-view a report with its target, and resolve it with an action.
-
-**Acceptance criteria**
-- Queue is staff-only (`RequireStaff`); non-staff get 403.
-- List supports status/type/reason filters + pagination (offset/limit).
-- Resolving sets `status`, `resolution`, `resolved_by`, `resolved_at` and
-  (where applicable) records a `moderation_actions` row.
-
-### US-3 Ban / suspension enforcement
-As a moderator, I can suspend a user temporarily or ban them permanently, and
-the sanction blocks the user from authenticated endpoints immediately.
-
-**Acceptance criteria**
-- Suspension sets `suspended_until`; ban sets `banned_until` (permanent). Warn
-  records an action without blocking.
-- `get_current_user` returns `403` for any user past a live sanction.
-- Expired suspensions no longer block (time-based, no cron required).
-- Removing a ban/suspension is itself a recorded `restore` action.
-
-### US-4 Appeals
-As a sanctioned user, I can appeal an active ban/suspension; as a moderator I
-can approve (overturn) or reject (uphold) it.
-
-**Acceptance criteria**
-- A user can submit exactly one open appeal per sanction.
-- Appeal is tied to the specific `moderation_action`.
-- Approving revokes the action and clears the user's sanction; rejecting
-  upholds it. Both record reviewer + timestamp.
-
-## 6. Task breakdown
-
-Right-sized to ~1–3 files / one coherent piece of functionality. Task IDs are
-dependency order.
-
-| # | Task | Story | Depends on |
-|---|------|-------|-----------|
-| 1 | Moderation data model + Alembic migration (reports, moderation_actions, appeals, user `role`/`banned_until`/`suspended_until`) | US-1..4 | — |
-| 2 | Staff authorization + sanction enforcement dependency (`RequireStaff`; extend `get_current_user` to reject sanctioned users) | US-2, US-3 | 1 |
-| 3 | Report submission endpoints (report user / experience / chat message) | US-1 | 1 |
-| 4 | Moderation queue + review endpoints (list, detail, resolve→action) | US-2 | 1, 2 |
-| 5 | Ban/suspend/restore action application + user-sanction sync | US-3 | 2, 4 |
-| 6 | Appeals endpoints (submit, list, review → uphold/overturn) | US-4 | 1, 5 |
-| 7 | Integration tests: report → review → ban → appeal → overturn | US-1..4 | 3, 4, 5, 6 |
-
-## 7. Phasing
-
-- **Phase 1 (data + enforcement core):** tasks 1–2. Land the schema and make
-  sanctioned users actually unable to act — highest value.
-- **Phase 2 (report → review → action):** tasks 3–5. The moderation loop.
-- **Phase 3 (appeals):** task 6.
-- **Phase 4 (verification):** task 7 integration tests.
-
-## 8. Out of scope for this feature
-
-- **Client (Godot) report/appeal UI** — no chat/social UI exists yet; report
-  endpoints are consumed once `social.md` US-6 lands. Client is a follow-up.
-- Automated content scanning / hash detection (covered by M5 /
-  `content_moderation.md`).
-- Third-party moderation/CSAM-scanning vendors.
-- Rate limiting of report submission (Redis is available; add a token-bucket
-  dependency later if abuse is observed).
-- Voice chat moderation.
-- Per-jurisdiction legal-takedown workflows (DMCA etc.).