{
    "color_schemes": {
        "sentiment_polarity": {
            "very_positive": "#00C851",
            "positive": "#7CB342",
            "neutral": "#FFB300",
            "negative": "#FF6F00",
            "very_negative": "#D32F2F"
        },
        "intent": {
            "praise": "#4CAF50",
            "question": "#2196F3",
            "request": "#9C27B0",
            "feedback_negative": "#FF5722",
            "suggestion": "#00BCD4",
            "humor_sarcasm": "#FFC107",
            "off_topic": "#9E9E9E",
            "spam_selfpromo": "#795548"
        },
        "platform": {
            "facebook": "#1877F2",
            "instagram": "#E4405F",
            "youtube": "#FF0000",
            "twitter": "#1DA1F2",
            "musora_app": "#1982C4",
            "default": "#607D8B"
        },
        "brand": {
            "drumeo": "#FF6B35",
            "pianote": "#6A4C93",
            "musora": "#1982C4",
            "default": "#8AC926"
        }
    },
    "sentiment_order": [
        "very_positive",
        "positive",
        "neutral",
        "negative",
        "very_negative"
    ],
    "intent_order": [
        "praise",
        "question",
        "request",
        "feedback_negative",
        "suggestion",
        "humor_sarcasm",
        "off_topic",
        "spam_selfpromo"
    ],
    "negative_sentiments": [
        "negative",
        "very_negative"
    ],
    "dashboard": {
        "default_date_range_days": 30,
        "max_comments_display": 100,
        "chart_height": 400,
        "top_n_contents": 10
    },
    "page_config": {
        "page_title": "Musora Sentiment Analysis Dashboard",
        "page_icon": "📊",
        "layout": "wide",
        "initial_sidebar_state": "expanded"
    },
    "snowflake": {
        "query": "SELECT s.COMMENT_SK, s.COMMENT_ID, s.ORIGINAL_TEXT, s.PLATFORM, s.COMMENT_TIMESTAMP, s.AUTHOR_NAME, s.AUTHOR_ID, CAST(NULL AS VARCHAR(16777216)) as PARENT_COMMENT_ID, CAST(NULL AS VARCHAR(16777216)) as PARENT_COMMENT_TEXT, s.CONTENT_SK, s.CONTENT_ID, s.CONTENT_DESCRIPTION, s.CHANNEL_SK, s.CHANNEL_NAME, s.CHANNEL_DISPLAY_NAME, s.DETECTED_LANGUAGE, s.LANGUAGE_CODE, s.IS_ENGLISH, s.LANGUAGE_CONFIDENCE, s.DETECTION_METHOD, s.HAS_TEXT, s.TRANSLATED_TEXT, s.TRANSLATION_PERFORMED, s.TRANSLATION_CONFIDENCE, s.TRANSLATION_NOTES, s.SENTIMENT_POLARITY, s.INTENT, s.REQUIRES_REPLY, s.SENTIMENT_CONFIDENCE, s.ANALYSIS_NOTES, s.PROCESSING_SUCCESS, CAST(NULL AS VARCHAR(16777216)) as PROCESSING_ERRORS, s.PROCESSED_AT, s.WORKFLOW_VERSION, CAST(NULL AS TIMESTAMP_NTZ(9)) as CREATED_AT, CAST(NULL AS TIMESTAMP_NTZ(9)) as UPDATED_AT, s.CHANNEL_NAME as BRAND, c.PERMALINK_URL, CAST(NULL AS VARCHAR(16777216)) as THUMBNAIL_URL FROM SOCIAL_MEDIA_DB.ML_FEATURES.COMMENT_SENTIMENT_FEATURES s LEFT JOIN SOCIAL_MEDIA_DB.CORE.DIM_CONTENT c ON s.CONTENT_SK = c.CONTENT_SK UNION ALL SELECT COMMENT_SK, COMMENT_ID, ORIGINAL_TEXT, CASE WHEN PLATFORM = 'musora' THEN 'musora_app' ELSE PLATFORM END as PLATFORM, COMMENT_TIMESTAMP, AUTHOR_NAME, AUTHOR_ID, PARENT_COMMENT_ID, PARENT_COMMENT_TEXT, CONTENT_SK, CONTENT_ID, CONTENT_DESCRIPTION, CHANNEL_SK, CHANNEL_NAME, CHANNEL_DISPLAY_NAME, DETECTED_LANGUAGE, LANGUAGE_CODE, IS_ENGLISH, LANGUAGE_CONFIDENCE, DETECTION_METHOD, HAS_TEXT, TRANSLATED_TEXT, TRANSLATION_PERFORMED, TRANSLATION_CONFIDENCE, TRANSLATION_NOTES, SENTIMENT_POLARITY, INTENT, REQUIRES_REPLY, SENTIMENT_CONFIDENCE, ANALYSIS_NOTES, PROCESSING_SUCCESS, PROCESSING_ERRORS, PROCESSED_AT, WORKFLOW_VERSION, CREATED_AT, UPDATED_AT, CHANNEL_NAME as BRAND, PERMALINK_URL, THUMBNAIL_URL FROM SOCIAL_MEDIA_DB.ML_FEATURES.MUSORA_COMMENT_SENTIMENT_FEATURES",
        "dashboard_query": "SELECT s.COMMENT_SK, s.CONTENT_SK, LOWER(s.PLATFORM) AS PLATFORM, LOWER(s.CHANNEL_NAME) AS BRAND, s.SENTIMENT_POLARITY, s.INTENT, s.REQUIRES_REPLY, s.DETECTED_LANGUAGE, s.COMMENT_TIMESTAMP, s.PROCESSED_AT, s.AUTHOR_ID FROM SOCIAL_MEDIA_DB.ML_FEATURES.COMMENT_SENTIMENT_FEATURES s UNION ALL SELECT COMMENT_SK, CONTENT_SK, CASE WHEN LOWER(PLATFORM) = 'musora' THEN 'musora_app' ELSE LOWER(PLATFORM) END AS PLATFORM, LOWER(CHANNEL_NAME) AS BRAND, SENTIMENT_POLARITY, INTENT, REQUIRES_REPLY, DETECTED_LANGUAGE, COMMENT_TIMESTAMP, PROCESSED_AT, AUTHOR_ID FROM SOCIAL_MEDIA_DB.ML_FEATURES.MUSORA_COMMENT_SENTIMENT_FEATURES",
        "demographics_query": "SELECT u.id as USER_ID, u.birthday as BIRTHDAY, u.timezone as TIMEZONE, GREATEST(COALESCE(p.difficulty, 0), COALESCE(p.self_report_difficulty, 0), COALESCE(p.method_experience, 0)) AS EXPERIENCE_LEVEL FROM stitch.musora_ecom_db.usora_users u JOIN online_recsys.preprocessed.users p ON u.id = p.user_id"
    },
    "demographics": {
        "age_groups": {
            "18-24": [18, 24],
            "25-34": [25, 34],
            "35-44": [35, 44],
            "45-54": [45, 54],
            "55+": [55, 150]
        },
        "experience_groups": {
            "Beginner (0-3)": [0, 3],
            "Intermediate (4-7)": [4, 7],
            "Advanced (8-10)": [8, 10]
        },
        "top_timezones_count": 15
    }
}