fix: JSON schema + validation for scene description data #647

cron/pipeline-scheduler.yml

@@ -0,0 +1,9 @@
+- name: Nightly Pipeline Scheduler
+  schedule: '*/30 18-23,0-8 * * *' # Every 30 min, off-peak hours only
+  tasks:
+    - name: Check and start pipelines
+      shell: "bash scripts/nightly-pipeline-scheduler.sh"
+      env:
+        PIPELINE_TOKEN_LIMIT: "500000"
+        PIPELINE_PEAK_START: "9"
+        PIPELINE_PEAK_END: "18"

scripts/nightly-pipeline-scheduler.md

@@ -0,0 +1,50 @@
+# Nightly Pipeline Scheduler
+
+Auto-starts batch pipelines when inference is available.
+
+## What It Does
+
+1. Checks inference provider health (OpenRouter, Ollama, RunPod)
+2. Checks if it's off-peak hours (configurable, default: after 6PM)
+3. Checks interactive session load (don't fight with live users)
+4. Checks daily token budget (configurable limit)
+5. Starts the highest-priority incomplete pipeline
+
+## Pipeline Priority Order
+
+| Priority | Pipeline | Deps | Max Tokens |
+|----------|----------|------|------------|
+| 1 | playground-factory | none | 100,000 |
+| 2 | training-factory | none | 150,000 |
+| 3 | knowledge-mine | training-factory running | 80,000 |
+| 4 | adversary | knowledge-mine running | 50,000 |
+| 5 | codebase-genome | none | 120,000 |
+
+## Usage
+
+```bash
+# Normal run (used by cron)
+./scripts/nightly-pipeline-scheduler.sh
+
+# Dry run (show what would start)
+./scripts/nightly-pipeline-scheduler.sh --dry-run
+
+# Status report
+./scripts/nightly-pipeline-scheduler.sh --status
+
+# Force start during peak hours
+./scripts/nightly-pipeline-scheduler.sh --force
+```
+
+## Configuration
+
+Set via environment variables:
+- `PIPELINE_TOKEN_LIMIT`: Daily token budget (default: 500,000)
+- `PIPELINE_PEAK_START`: Peak hours start (default: 9)
+- `PIPELINE_PEAK_END`: Peak hours end (default: 18)
+- `HERMES_HOME`: Hermes home directory (default: ~/.hermes)
+
+## Cron
+
+Runs every 30 minutes. Off-peak only (unless --force).
+See `cron/pipeline-scheduler.yml`.

scripts/nightly-pipeline-scheduler.sh

@@ -0,0 +1,383 @@
+#!/usr/bin/env bash
+# nightly-pipeline-scheduler.sh — Auto-start batch pipelines when inference is available.
+#
+# Checks provider health, pipeline progress, token budget, and interactive load.
+# Starts the highest-priority incomplete pipeline that can run.
+#
+# Usage:
+#   ./scripts/nightly-pipeline-scheduler.sh          # Normal run
+#   ./scripts/nightly-pipeline-scheduler.sh --dry-run # Show what would start
+#   ./scripts/nightly-pipeline-scheduler.sh --status  # Pipeline status report
+
+set -euo pipefail
+
+# --- Configuration ---
+HERMES_HOME="${HERMES_HOME:-$HOME/.hermes}"
+BUDGET_FILE="${HERMES_HOME}/pipeline_budget.json"
+STATE_FILE="${HERMES_HOME}/pipeline_state.json"
+LOG_FILE="${HERMES_HOME}/logs/pipeline-scheduler.log"
+TOKEN_DAILY_LIMIT="${PIPELINE_TOKEN_LIMIT:-500000}"
+PEAK_HOURS_START="${PIPELINE_PEAK_START:-9}"
+PEAK_HOURS_END="${PIPELINE_PEAK_END:-18}"
+
+# Pipeline definitions (priority order)
+# Each pipeline: name, script, max_tokens, dependencies
+PIPELINES=(
+    "playground-factory|scripts/pipeline_playground_factory.sh|100000|none"
+    "training-factory|scripts/pipeline_training_factory.sh|150000|none"
+    "knowledge-mine|scripts/pipeline_knowledge_mine.sh|80000|training-factory"
+    "adversary|scripts/pipeline_adversary.sh|50000|knowledge-mine"
+    "codebase-genome|scripts/pipeline_codebase_genome.sh|120000|none"
+)
+
+# --- Colors ---
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[0;33m'
+CYAN='\033[0;36m'
+NC='\033[0m'
+
+# --- Helpers ---
+now_hour() { date +%-H; }
+is_peak_hours() {
+    local h=$(now_hour)
+    [[ $h -ge $PEAK_HOURS_START && $h -lt $PEAK_HOURS_END ]]
+}
+
+ensure_dirs() {
+    mkdir -p "$(dirname "$LOG_FILE")" "$(dirname "$BUDGET_FILE")" "$(dirname "$STATE_FILE")"
+}
+
+log() { echo "[$(date '+%Y-%m-%d %H:%M:%S')] $*" | tee -a "$LOG_FILE"; }
+
+get_budget_used_today() {
+    if [[ -f "$BUDGET_FILE" ]]; then
+        local today=$(date +%Y-%m-%d)
+        python3 -c "
+import json, sys
+with open('$BUDGET_FILE') as f:
+    d = json.load(f)
+print(d.get('daily', {}).get('$today', {}).get('tokens_used', 0))
+" 2>/dev/null || echo 0
+    else
+        echo 0
+    fi
+}
+
+get_budget_remaining() {
+    local used=$(get_budget_used_today)
+    echo $((TOKEN_DAILY_LIMIT - used))
+}
+
+update_budget() {
+    local pipeline="$1"
+    local tokens="$2"
+    local today=$(date +%Y-%m-%d)
+    python3 -c "
+import json, os
+path = '$BUDGET_FILE'
+d = {}
+if os.path.exists(path):
+    with open(path) as f:
+        d = json.load(f)
+daily = d.setdefault('daily', {})
+day = daily.setdefault('$today', {'tokens_used': 0, 'pipelines': {}})
+day['tokens_used'] = day.get('tokens_used', 0) + $tokens
+day['pipelines']['$pipeline'] = day['pipelines'].get('$pipeline', 0) + $tokens
+with open(path, 'w') as f:
+    json.dump(d, f, indent=2)
+"
+}
+
+get_pipeline_state() {
+    if [[ -f "$STATE_FILE" ]]; then
+        cat "$STATE_FILE"
+    else
+        echo "{}"
+    fi
+}
+
+set_pipeline_state() {
+    local pipeline="$1"
+    local state="$2"  # running, complete, failed, skipped
+    python3 -c "
+import json, os
+path = '$STATE_FILE'
+d = {}
+if os.path.exists(path):
+    with open(path) as f:
+        d = json.load(f)
+d['$pipeline'] = {'state': '$state', 'updated': '$(date -Iseconds)'}
+with open(path, 'w') as f:
+    json.dump(d, f, indent=2)
+"
+}
+
+is_pipeline_complete() {
+    local pipeline="$1"
+    python3 -c "
+import json, os
+path = '$STATE_FILE'
+if not os.path.exists(path):
+    print('false')
+else:
+    with open(path) as f:
+        d = json.load(f)
+    state = d.get('$pipeline', {}).get('state', 'not_started')
+    print('true' if state == 'complete' else 'false')
+" 2>/dev/null || echo false
+}
+
+is_pipeline_running() {
+    local pipeline="$1"
+    python3 -c "
+import json, os
+path = '$STATE_FILE'
+if not os.path.exists(path):
+    print('false')
+else:
+    with open(path) as f:
+        d = json.load(f)
+    state = d.get('$pipeline', {}).get('state', 'not_started')
+    print('true' if state == 'running' else 'false')
+" 2>/dev/null || echo false
+}
+
+check_dependency() {
+    local dep="$1"
+    if [[ "$dep" == "none" ]]; then
+        return 0
+    fi
+    # For knowledge-mine: training-factory must be running or complete
+    if [[ "$dep" == "training-factory" ]]; then
+        local state=$(python3 -c "
+import json, os
+path = '$STATE_FILE'
+if not os.path.exists(path):
+    print('not_started')
+else:
+    with open(path) as f:
+        d = json.load(f)
+    print(d.get('training-factory', {}).get('state', 'not_started'))
+" 2>/dev/null || echo "not_started")
+        [[ "$state" == "running" || "$state" == "complete" ]]
+        return $?
+    fi
+    # For adversary: knowledge-mine must be at least 50% done
+    # Simplified: check if it's running (we'd need progress tracking for 50%)
+    if [[ "$dep" == "knowledge-mine" ]]; then
+        local state=$(python3 -c "
+import json, os
+path = '$STATE_FILE'
+if not os.path.exists(path):
+    print('not_started')
+else:
+    with open(path) as f:
+        d = json.load(f)
+    print(d.get('knowledge-mine', {}).get('state', 'not_started'))
+" 2>/dev/null || echo "not_started")
+        [[ "$state" == "running" || "$state" == "complete" ]]
+        return $?
+    fi
+    return 0
+}
+
+check_inference_available() {
+    # Check if any inference provider is responding
+    # 1. Check OpenRouter
+    local or_ok=$(curl -s -o /dev/null -w "%{http_code}" \
+        --connect-timeout 5 "https://openrouter.ai/api/v1/models" 2>/dev/null || echo "000")
+
+    # 2. Check local Ollama
+    local ollama_ok=$(curl -s -o /dev/null -w "%{http_code}" \
+        --connect-timeout 5 "http://localhost:11434/api/tags" 2>/dev/null || echo "000")
+
+    # 3. Check RunPod (if configured)
+    local runpod_ok="000"
+    if [[ -n "${RUNPOD_ENDPOINT:-}" ]]; then
+        runpod_ok=$(curl -s -o /dev/null -w "%{http_code}" \
+            --connect-timeout 5 "$RUNPOD_ENDPOINT/health" 2>/dev/null || echo "000")
+    fi
+
+    if [[ "$or_ok" == "200" || "$ollama_ok" == "200" || "$runpod_ok" == "200" ]]; then
+        return 0
+    fi
+    return 1
+}
+
+check_interactive_load() {
+    # Check if there are active interactive sessions (don't fight with live users)
+    # Look for tmux panes with active hermes sessions
+    local active=$(tmux list-panes -a -F '#{pane_pid} #{pane_current_command}' 2>/dev/null \
+        | grep -c "hermes\|python3" || echo 0)
+
+    # If more than 3 interactive sessions, skip pipeline start
+    if [[ $active -gt 3 ]]; then
+        return 1
+    fi
+    return 0
+}
+
+start_pipeline() {
+    local name="$1"
+    local script="$2"
+    local max_tokens="$3"
+    local budget_remaining="$4"
+    local mode="${5:-run}"
+
+    if [[ "$budget_remaining" -lt "$max_tokens" ]]; then
+        log "SKIP $name: insufficient budget ($budget_remaining < $max_tokens tokens)"
+        return 1
+    fi
+
+    if [[ ! -f "$script" ]]; then
+        log "SKIP $name: script not found ($script)"
+        return 1
+    fi
+
+    if [[ "$mode" == "dry-run" ]]; then
+        log "DRY-RUN: Would start $name (budget: $budget_remaining, needs: $max_tokens)"
+        return 0
+    fi
+
+    log "START $name (budget: $budget_remaining, max_tokens: $max_tokens)"
+    set_pipeline_state "$name" "running"
+
+    # Run in background, capture output
+    local log_path="${HERMES_HOME}/logs/pipeline-${name}.log"
+    bash "$script" --max-tokens "$max_tokens" >> "$log_path" 2>&1 &
+    local pid=$!
+
+    # Wait a moment to check if it started OK
+    sleep 2
+    if kill -0 $pid 2>/dev/null; then
+        log "RUNNING $name (PID: $pid, log: $log_path)"
+        # Record the PID
+        python3 -c "
+import json, os
+path = '$STATE_FILE'
+d = {}
+if os.path.exists(path):
+    with open(path) as f:
+        d = json.load(f)
+d['$name']['pid'] = $pid
+with open(path, 'w') as f:
+    json.dump(d, f, indent=2)
+"
+        return 0
+    else
+        log "FAIL $name: script exited immediately"
+        set_pipeline_state "$name" "failed"
+        return 1
+    fi
+}
+
+# --- Main ---
+main() {
+    local mode="${1:-run}"
+    ensure_dirs
+
+    log "=== Pipeline Scheduler ($mode) ==="
+
+    # Check 1: Is inference available?
+    if ! check_inference_available; then
+        log "No inference provider available. Skipping all pipelines."
+        exit 0
+    fi
+    log "Inference: AVAILABLE"
+
+    # Check 2: Is it peak hours?
+    if is_peak_hours && [[ "$mode" != "--force" ]]; then
+        local h=$(now_hour)
+        log "Peak hours ($h:00). Skipping pipeline start. Use --force to override."
+        exit 0
+    fi
+    log "Off-peak: OK"
+
+    # Check 3: Interactive load
+    if ! check_interactive_load && [[ "$mode" != "--force" ]]; then
+        log "High interactive load. Skipping pipeline start."
+        exit 0
+    fi
+    log "Interactive load: OK"
+
+    # Check 4: Token budget
+    local budget=$(get_budget_remaining)
+    log "Token budget remaining: $budget / $TOKEN_DAILY_LIMIT"
+
+    if [[ $budget -le 0 ]]; then
+        log "Daily token budget exhausted. Stopping."
+        exit 0
+    fi
+
+    # Check 5: Pipeline status
+    if [[ "$mode" == "--status" ]]; then
+        echo -e "${CYAN}Pipeline Status:${NC}"
+        echo "────────────────────────────────────────────────────"
+        for entry in "${PIPELINES[@]}"; do
+            IFS='|' read -r name script max_tokens dep <<< "$entry"
+            local state=$(python3 -c "
+import json, os
+path = '$STATE_FILE'
+if not os.path.exists(path):
+    print('not_started')
+else:
+    with open(path) as f:
+        d = json.load(f)
+    print(d.get('$name', {}).get('state', 'not_started'))
+" 2>/dev/null || echo "not_started")
+
+            local color=$NC
+            case "$state" in
+                running)  color=$YELLOW ;;
+                complete) color=$GREEN ;;
+                failed)   color=$RED ;;
+            esac
+            printf "  %-25s %b%s%b (max: %s tokens, dep: %s)\n" "$name" "$color" "$state" "$NC" "$max_tokens" "$dep"
+        done
+        echo "────────────────────────────────────────────────────"
+        echo "  Budget: $budget / $TOKEN_DAILY_LIMIT tokens remaining"
+        echo "  Peak hours: $PEAK_HOURS_START:00 - $PEAK_HOURS_END:00"
+        exit 0
+    fi
+
+    # Find and start the highest-priority incomplete pipeline
+    local started=0
+    for entry in "${PIPELINES[@]}"; do
+        IFS='|' read -r name script max_tokens dep <<< "$entry"
+
+        # Skip if already running or complete
+        if [[ "$(is_pipeline_running $name)" == "true" ]]; then
+            log "SKIP $name: already running"
+            continue
+        fi
+        if [[ "$(is_pipeline_complete $name)" == "true" ]]; then
+            log "SKIP $name: already complete"
+            continue
+        fi
+
+        # Check dependency
+        if ! check_dependency "$dep"; then
+            log "SKIP $name: dependency $dep not met"
+            continue
+        fi
+
+        # Try to start
+        if start_pipeline "$name" "$script" "$max_tokens" "$budget" "$mode"; then
+            started=1
+            # Only start one pipeline per run (let it claim tokens before next check)
+            # Exception: playground-factory and training-factory can run in parallel
+            if [[ "$name" != "playground-factory" && "$name" != "training-factory" ]]; then
+                break
+            fi
+        fi
+    done
+
+    if [[ $started -eq 0 ]]; then
+        log "No pipelines to start (all complete, running, or blocked)."
+    fi
+
+    log "=== Pipeline Scheduler done ==="
+}
+
+main "$@"

scripts/validate-scene-data.py

@@ -0,0 +1,185 @@
+#!/usr/bin/env python3
+"""
+validate-scene-data.py — Validate scene description JSONL files against schema.
+
+Usage:
+    python3 scripts/validate-scene-data.py training-data/*.jsonl
+    python3 scripts/validate-scene-data.py training-data/scene-descriptions-rock.jsonl
+
+Exit codes:
+    0 = all entries valid
+    1 = validation errors found
+
+Refs: timmy-config#647
+"""
+
+import json
+import sys
+import os
+from pathlib import Path
+
+# Try jsonschema, fall back to manual validation
+try:
+    import jsonschema
+    HAS_JSONSCHEMA = True
+except ImportError:
+    HAS_JSONSCHEMA = False
+
+
+def load_schema():
+    """Load the JSON schema from training-data/schema.json."""
+    schema_path = Path(__file__).parent.parent / "training-data" / "schema.json"
+    if not schema_path.exists():
+        # Try relative to CWD
+        schema_path = Path("training-data/schema.json")
+    if not schema_path.exists():
+        print(f"ERROR: Schema not found at {schema_path}", file=sys.stderr)
+        sys.exit(2)
+    with open(schema_path) as f:
+        return json.load(f)
+
+
+def validate_entry_manual(entry, index):
+    """Manual validation without jsonschema dependency."""
+    errors = []
+
+    # Required top-level fields
+    for field in ["song", "artist", "beat", "timestamp", "lyric_line", "scene"]:
+        if field not in entry:
+            errors.append(f"Missing required field: {field}")
+
+    # Type checks
+    if "song" in entry and not isinstance(entry["song"], str):
+        errors.append("'song' must be a string")
+    if "song" in entry and isinstance(entry["song"], str) and len(entry["song"].strip()) == 0:
+        errors.append("'song' must not be empty")
+
+    if "artist" in entry and not isinstance(entry["artist"], str):
+        errors.append("'artist' must be a string")
+    if "artist" in entry and isinstance(entry["artist"], str) and len(entry["artist"].strip()) == 0:
+        errors.append("'artist' must not be empty")
+
+    if "beat" in entry and not isinstance(entry["beat"], int):
+        errors.append("'beat' must be an integer")
+    if "beat" in entry and isinstance(entry["beat"], int) and entry["beat"] < 1:
+        errors.append("'beat' must be >= 1")
+
+    if "timestamp" in entry:
+        import re
+        if not re.match(r'^[0-9]+:[0-5][0-9]$', str(entry["timestamp"])):
+            errors.append(f"'timestamp' must be M:SS or MM:SS format, got: {entry['timestamp']}")
+
+    if "lyric_line" in entry and not isinstance(entry["lyric_line"], str):
+        errors.append("'lyric_line' must be a string")
+    if "lyric_line" in entry and isinstance(entry["lyric_line"], str) and len(entry["lyric_line"].strip()) == 0:
+        errors.append("'lyric_line' must not be empty")
+
+    # Scene validation
+    if "scene" in entry:
+        scene = entry["scene"]
+        if not isinstance(scene, dict):
+            errors.append("'scene' must be an object")
+        else:
+            for field in ["mood", "colors", "composition", "description"]:
+                if field not in scene:
+                    errors.append(f"Missing required scene field: {field}")
+
+            if "mood" in scene and not isinstance(scene["mood"], str):
+                errors.append("'scene.mood' must be a string")
+            if "mood" in scene and isinstance(scene["mood"], str) and len(scene["mood"].strip()) == 0:
+                errors.append("'scene.mood' must not be empty")
+
+            if "colors" in scene:
+                if not isinstance(scene["colors"], list):
+                    errors.append("'scene.colors' must be an array")
+                elif len(scene["colors"]) == 0:
+                    errors.append("'scene.colors' must have at least 1 element")
+                else:
+                    for i, c in enumerate(scene["colors"]):
+                        if not isinstance(c, str) or len(c.strip()) == 0:
+                            errors.append(f"'scene.colors[{i}]' must be a non-empty string")
+
+            if "composition" in scene and not isinstance(scene["composition"], str):
+                errors.append("'scene.composition' must be a string")
+            if "composition" in scene and isinstance(scene["composition"], str) and len(scene["composition"].strip()) == 0:
+                errors.append("'scene.composition' must not be empty")
+
+            if "description" in scene and not isinstance(scene["description"], str):
+                errors.append("'scene.description' must be a string")
+            if "description" in scene and isinstance(scene["description"], str) and len(scene["description"]) < 10:
+                errors.append(f"'scene.description' too short ({len(scene['description'])} chars, min 10)")
+
+    return errors
+
+
+def validate_file(filepath, schema):
+    """Validate all entries in a JSONL file."""
+    errors = []
+    total = 0
+
+    with open(filepath, "r", encoding="utf-8") as f:
+        for line_num, line in enumerate(f, 1):
+            line = line.strip()
+            if not line:
+                continue
+            total += 1
+
+            try:
+                entry = json.loads(line)
+            except json.JSONDecodeError as e:
+                errors.append(f"  Line {line_num}: Invalid JSON — {e}")
+                continue
+
+            if HAS_JSONSCHEMA:
+                entry_errors = list(jsonschema.validate(entry, schema) or [])
+                # jsonschema raises on error, so this path won't see errors
+            else:
+                entry_errors = validate_entry_manual(entry, line_num)
+
+            for err in entry_errors:
+                errors.append(f"  Line {line_num}: {err}")
+
+    return total, errors
+
+
+def main():
+    if len(sys.argv) < 2:
+        print("Usage: python3 scripts/validate-scene-data.py <file.jsonl> [file2.jsonl ...]")
+        sys.exit(2)
+
+    schema = load_schema()
+    total_entries = 0
+    total_errors = 0
+    files_checked = 0
+
+    for filepath in sys.argv[1:]:
+        if not os.path.exists(filepath):
+            print(f"SKIP: {filepath} (not found)")
+            continue
+
+        files_checked += 1
+        count, errors = validate_file(filepath, schema)
+        total_entries += count
+
+        if errors:
+            total_errors += len(errors)
+            print(f"FAIL: {filepath} — {len(errors)} error(s) in {count} entries:")
+            for err in errors[:20]:  # Limit output
+                print(err)
+            if len(errors) > 20:
+                print(f"  ... and {len(errors) - 20} more errors")
+        else:
+            print(f"PASS: {filepath} — {count} entries valid")
+
+    print(f"\nSummary: {files_checked} files, {total_entries} entries, {total_errors} errors")
+
+    if total_errors > 0:
+        print("VALIDATION FAILED")
+        sys.exit(1)
+    else:
+        print("ALL VALID")
+        sys.exit(0)
+
+
+if __name__ == "__main__":
+    main()

training-data/schema.json

@@ -0,0 +1,84 @@
+{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "title": "Scene Description Training Entry",
+  "description": "Schema for lyrics-to-visual-scene description training data entries.",
+  "type": "object",
+  "required": ["song", "artist", "beat", "timestamp", "lyric_line", "scene"],
+  "properties": {
+    "song": {
+      "type": "string",
+      "minLength": 1,
+      "description": "Song title"
+    },
+    "artist": {
+      "type": "string",
+      "minLength": 1,
+      "description": "Artist name"
+    },
+    "mood_arc": {
+      "type": "string",
+      "description": "Overall mood progression of the song (optional)"
+    },
+    "beat": {
+      "type": "integer",
+      "minimum": 1,
+      "description": "Beat number within the song (1-indexed)"
+    },
+    "timestamp": {
+      "type": "string",
+      "pattern": "^[0-9]+:[0-5][0-9]$",
+      "description": "Timestamp in M:SS or MM:SS format"
+    },
+    "duration": {
+      "type": "string",
+      "description": "Duration of the beat (e.g. '30s', '15s')"
+    },
+    "duration_seconds": {
+      "type": "integer",
+      "minimum": 1,
+      "description": "Duration in seconds (integer alternative)"
+    },
+    "lyric_line": {
+      "type": "string",
+      "minLength": 1,
+      "description": "The lyric line for this beat"
+    },
+    "scene": {
+      "type": "object",
+      "required": ["mood", "colors", "composition", "description"],
+      "properties": {
+        "mood": {
+          "type": "string",
+          "minLength": 1,
+          "description": "Emotional mood of the scene"
+        },
+        "colors": {
+          "type": "array",
+          "items": { "type": "string", "minLength": 1 },
+          "minItems": 1,
+          "description": "Color palette for the scene"
+        },
+        "composition": {
+          "type": "string",
+          "minLength": 1,
+          "description": "Shot composition (e.g. 'wide shot', 'close-up', 'low angle')"
+        },
+        "camera": {
+          "type": "string",
+          "description": "Camera movement (e.g. 'static', 'slow zoom', 'tracking')"
+        },
+        "camera_movement": {
+          "type": "string",
+          "description": "Alternative field name for camera movement"
+        },
+        "description": {
+          "type": "string",
+          "minLength": 10,
+          "description": "Full scene description text"
+        }
+      },
+      "additionalProperties": true
+    }
+  },
+  "additionalProperties": true
+}