WIP checkpoint: Plan: Trust & Safety Operations

backend/alembic/versions/0001_initial.py

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

backend/app/config.py

@@ -30,7 +30,6 @@ 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",

backend/app/models/asset.py

@@ -3,8 +3,6 @@ from sqlalchemy.dialects.postgresql import ENUM
 from sqlalchemy.orm import relationship
 from sqlalchemy.sql import func
 import enum
-import json
-from typing import Any, Optional
 
 from app.database import Base
 
@@ -40,32 +38,3 @@ class Asset(Base):
 
     owner = relationship("User", back_populates="assets")
     world = relationship("World", back_populates="assets")
-
-    # ------------------------------------------------------------------
-    # Computed properties
-    # ------------------------------------------------------------------
-
-    @property
-    def has_gltf_metadata(self) -> bool:
-        """Return True when metadata_json contains glTF-specific keys.
-
-        glTF metadata is considered present when the stored JSON contains at
-        least one of the keys that *extract_gltf_metadata* produces
-        (mesh_count, vertex_count, has_animation, texture_refs,
-        bounding_box_min, bounding_box_max).
-        """
-        if not self.metadata_json:
-            return False
-        try:
-            data: dict[str, Any] = json.loads(self.metadata_json)
-        except (json.JSONDecodeError, TypeError):
-            return False
-        gltf_keys = {
-            "mesh_count",
-            "vertex_count",
-            "has_animation",
-            "texture_refs",
-            "bounding_box_min",
-            "bounding_box_max",
-        }
-        return bool(gltf_keys & data.keys())

backend/app/routers/assets.py

@@ -1,6 +1,5 @@
 """Asset management router."""
 
-import json
 import os
 from pathlib import Path
 from typing import Optional
@@ -14,7 +13,6 @@ 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()
@@ -66,14 +64,6 @@ 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)
@@ -193,16 +183,10 @@ async def upload_asset_file(
     # Sanitize filename to prevent path traversal.
     safe_filename = _sanitize_filename(file.filename or f"asset_{asset_id}")
 
-    # Read the file content.
+    # Validate file size against configured maximum.
+    max_bytes = settings.MAX_UPLOAD_SIZE_MB * 1024 * 1024
     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,
@@ -216,28 +200,10 @@ 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

backend/app/services/gltf.py

@@ -1,197 +0,0 @@
-"""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,
-    }

backend/docker-compose.yml

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

backend/tests/test_gltf_metadata.py

@@ -1,220 +0,0 @@
-"""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]")

docs/planning/client-server-wiring.md

@@ -1,37 +0,0 @@
-# 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

@@ -0,0 +1,160 @@
+# 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.).

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