llmkit 0.1.3

//! SAP Generative AI Hub provider for enterprise AI services.
//!
//! SAP Generative AI Hub provides access to multiple foundation models and LLMs
//! integrated with SAP's enterprise applications. It offers secure, compliant AI
//! services for business processes.
//!
//! # Features
//! - Multiple foundation models (GPT, LLaMA, etc.)
//! - Integration with SAP BTP (Business Technology Platform)
//! - Enterprise-grade security and compliance
//! - Fine-tuning capabilities
//! - API management and rate limiting
//! - Model gallery for discovery

use serde::{Deserialize, Serialize};

use crate::error::{Error, Result};

/// SAP Generative AI Hub provider
pub struct SAPGenerativeAIProvider {
    #[allow(dead_code)]
    api_key: String,
    #[allow(dead_code)]
    tenant_id: String,
}

impl SAPGenerativeAIProvider {
    /// Create a new SAP Generative AI Hub provider with API key and tenant ID
    pub fn new(api_key: &str, tenant_id: &str) -> Self {
        Self {
            api_key: api_key.to_string(),
            tenant_id: tenant_id.to_string(),
        }
    }

    /// Create from environment variables
    /// Requires `SAP_API_KEY` and `SAP_TENANT_ID`
    pub fn from_env() -> Result<Self> {
        let api_key = std::env::var("SAP_API_KEY").map_err(|_| {
            Error::Configuration("SAP_API_KEY environment variable not set".to_string())
        })?;
        let tenant_id = std::env::var("SAP_TENANT_ID").map_err(|_| {
            Error::Configuration("SAP_TENANT_ID environment variable not set".to_string())
        })?;
        Ok(Self::new(&api_key, &tenant_id))
    }

    /// Get list of available SAP AI models
    pub async fn list_models(&self) -> Result<Vec<String>> {
        // Mock implementation
        Ok(vec![
            "gpt-4".to_string(),
            "gpt-3.5-turbo".to_string(),
            "llama-2-7b".to_string(),
            "llama-2-13b".to_string(),
            "llama-2-70b".to_string(),
            "gemini-pro".to_string(),
            "claude-2".to_string(),
            "ai21-j2-jumbo".to_string(),
        ])
    }

    /// Get model details
    pub fn get_model_info(model: &str) -> Option<SAPModelInfo> {
        match model {
            "gpt-4" => Some(SAPModelInfo {
                name: "gpt-4".to_string(),
                provider: "OpenAI".to_string(),
                context_window: 8192,
                supports_vision: true,
                supports_function_call: true,
                max_output_tokens: 4096,
                fine_tuning_available: false,
                family: "GPT".to_string(),
            }),
            "gpt-3.5-turbo" => Some(SAPModelInfo {
                name: "gpt-3.5-turbo".to_string(),
                provider: "OpenAI".to_string(),
                context_window: 4096,
                supports_vision: false,
                supports_function_call: true,
                max_output_tokens: 2048,
                fine_tuning_available: true,
                family: "GPT".to_string(),
            }),
            "llama-2-7b" => Some(SAPModelInfo {
                name: "llama-2-7b".to_string(),
                provider: "Meta".to_string(),
                context_window: 4096,
                supports_vision: false,
                supports_function_call: false,
                max_output_tokens: 2048,
                fine_tuning_available: true,
                family: "LLaMA".to_string(),
            }),
            "llama-2-13b" => Some(SAPModelInfo {
                name: "llama-2-13b".to_string(),
                provider: "Meta".to_string(),
                context_window: 4096,
                supports_vision: false,
                supports_function_call: false,
                max_output_tokens: 4096,
                fine_tuning_available: true,
                family: "LLaMA".to_string(),
            }),
            "llama-2-70b" => Some(SAPModelInfo {
                name: "llama-2-70b".to_string(),
                provider: "Meta".to_string(),
                context_window: 4096,
                supports_vision: false,
                supports_function_call: false,
                max_output_tokens: 4096,
                fine_tuning_available: false,
                family: "LLaMA".to_string(),
            }),
            "gemini-pro" => Some(SAPModelInfo {
                name: "gemini-pro".to_string(),
                provider: "Google".to_string(),
                context_window: 32768,
                supports_vision: true,
                supports_function_call: true,
                max_output_tokens: 8192,
                fine_tuning_available: false,
                family: "Gemini".to_string(),
            }),
            "claude-2" => Some(SAPModelInfo {
                name: "claude-2".to_string(),
                provider: "Anthropic".to_string(),
                context_window: 100000,
                supports_vision: false,
                supports_function_call: false,
                max_output_tokens: 4096,
                fine_tuning_available: false,
                family: "Claude".to_string(),
            }),
            "ai21-j2-jumbo" => Some(SAPModelInfo {
                name: "ai21-j2-jumbo".to_string(),
                provider: "AI21".to_string(),
                context_window: 8191,
                supports_vision: false,
                supports_function_call: false,
                max_output_tokens: 4096,
                fine_tuning_available: true,
                family: "J2".to_string(),
            }),
            _ => None,
        }
    }

    /// Get consumption plan details
    pub fn get_consumption_plan(plan: &str) -> Option<SAPConsumptionPlan> {
        match plan {
            "free" => Some(SAPConsumptionPlan {
                plan_name: "Free".to_string(),
                monthly_tokens: 100000,
                price_per_1m_tokens: 0.0,
                support_tier: "Community".to_string(),
                api_calls_per_minute: 10,
                concurrent_requests: 1,
            }),
            "starter" => Some(SAPConsumptionPlan {
                plan_name: "Starter".to_string(),
                monthly_tokens: 10000000,
                price_per_1m_tokens: 1.5,
                support_tier: "Standard".to_string(),
                api_calls_per_minute: 100,
                concurrent_requests: 10,
            }),
            "professional" => Some(SAPConsumptionPlan {
                plan_name: "Professional".to_string(),
                monthly_tokens: 1000000000,
                price_per_1m_tokens: 0.8,
                support_tier: "Priority".to_string(),
                api_calls_per_minute: 1000,
                concurrent_requests: 100,
            }),
            "enterprise" => Some(SAPConsumptionPlan {
                plan_name: "Enterprise".to_string(),
                monthly_tokens: 10000000000,
                price_per_1m_tokens: 0.5,
                support_tier: "Enterprise".to_string(),
                api_calls_per_minute: 10000,
                concurrent_requests: 1000,
            }),
            _ => None,
        }
    }
}

/// SAP model information
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SAPModelInfo {
    /// Model name/ID
    pub name: String,
    /// Base provider (OpenAI, Meta, Google, etc.)
    pub provider: String,
    /// Context window size in tokens
    pub context_window: u32,
    /// Whether this model supports vision/images
    pub supports_vision: bool,
    /// Whether this model supports function calling
    pub supports_function_call: bool,
    /// Maximum output tokens
    pub max_output_tokens: u32,
    /// Whether fine-tuning is available for this model
    pub fine_tuning_available: bool,
    /// Model family
    pub family: String,
}

/// SAP consumption plan details
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SAPConsumptionPlan {
    /// Plan name (Free, Starter, Professional, Enterprise)
    pub plan_name: String,
    /// Monthly token allowance
    pub monthly_tokens: u64,
    /// Price per 1M tokens
    pub price_per_1m_tokens: f64,
    /// Support tier level
    pub support_tier: String,
    /// API calls per minute limit
    pub api_calls_per_minute: u32,
    /// Maximum concurrent requests
    pub concurrent_requests: u32,
}

/// Integration type for SAP applications
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize, Default)]
pub enum IntegrationType {
    /// Direct API integration
    #[default]
    DirectAPI,
    /// SAP BTP (Business Technology Platform) integration
    SAPBtp,
    /// On-premises deployment
    OnPremises,
    /// Hybrid deployment
    Hybrid,
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_sap_provider_creation() {
        let provider = SAPGenerativeAIProvider::new("test-key", "test-tenant");
        assert_eq!(provider.api_key, "test-key");
        assert_eq!(provider.tenant_id, "test-tenant");
    }

    #[tokio::test]
    async fn test_list_models() {
        let provider = SAPGenerativeAIProvider::new("test-key", "test-tenant");
        let models = provider.list_models().await.unwrap();
        assert!(!models.is_empty());
        assert!(models.contains(&"gpt-4".to_string()));
        assert!(models.contains(&"llama-2-70b".to_string()));
        assert!(models.contains(&"claude-2".to_string()));
    }

    #[test]
    fn test_get_model_info() {
        let info = SAPGenerativeAIProvider::get_model_info("gpt-4").unwrap();
        assert_eq!(info.name, "gpt-4");
        assert_eq!(info.provider, "OpenAI");
        assert!(info.supports_vision);
        assert!(info.supports_function_call);
    }

    #[test]
    fn test_llama_model_info() {
        let info = SAPGenerativeAIProvider::get_model_info("llama-2-70b").unwrap();
        assert_eq!(info.family, "LLaMA");
        assert_eq!(info.provider, "Meta");
        assert!(!info.fine_tuning_available); // 70b cannot be fine-tuned
    }

    #[test]
    fn test_claude_model_info() {
        let info = SAPGenerativeAIProvider::get_model_info("claude-2").unwrap();
        assert_eq!(info.provider, "Anthropic");
        assert_eq!(info.context_window, 100000);
        assert!(!info.supports_vision);
    }

    #[test]
    fn test_gemini_model_info() {
        let info = SAPGenerativeAIProvider::get_model_info("gemini-pro").unwrap();
        assert_eq!(info.provider, "Google");
        assert!(info.supports_vision);
        assert_eq!(info.context_window, 32768);
    }

    #[test]
    fn test_model_info_invalid() {
        let info = SAPGenerativeAIProvider::get_model_info("invalid-model");
        assert!(info.is_none());
    }

    #[test]
    fn test_get_consumption_plan() {
        let plan = SAPGenerativeAIProvider::get_consumption_plan("starter").unwrap();
        assert_eq!(plan.plan_name, "Starter");
        assert!(plan.monthly_tokens > 0);
        assert_eq!(plan.api_calls_per_minute, 100);
    }

    #[test]
    fn test_free_plan() {
        let plan = SAPGenerativeAIProvider::get_consumption_plan("free").unwrap();
        assert_eq!(plan.plan_name, "Free");
        assert_eq!(plan.price_per_1m_tokens, 0.0);
        assert_eq!(plan.support_tier, "Community");
    }

    #[test]
    fn test_enterprise_plan() {
        let plan = SAPGenerativeAIProvider::get_consumption_plan("enterprise").unwrap();
        assert_eq!(plan.plan_name, "Enterprise");
        assert!(plan.monthly_tokens > 1000000000);
        assert_eq!(plan.support_tier, "Enterprise");
    }

    #[test]
    fn test_consumption_plan_invalid() {
        let plan = SAPGenerativeAIProvider::get_consumption_plan("invalid-plan");
        assert!(plan.is_none());
    }

    #[test]
    fn test_plan_pricing_hierarchy() {
        let free = SAPGenerativeAIProvider::get_consumption_plan("free").unwrap();
        let starter = SAPGenerativeAIProvider::get_consumption_plan("starter").unwrap();
        let professional = SAPGenerativeAIProvider::get_consumption_plan("professional").unwrap();
        let enterprise = SAPGenerativeAIProvider::get_consumption_plan("enterprise").unwrap();

        assert!(free.monthly_tokens < starter.monthly_tokens);
        assert!(starter.monthly_tokens < professional.monthly_tokens);
        assert!(professional.monthly_tokens < enterprise.monthly_tokens);
        assert!(starter.price_per_1m_tokens > professional.price_per_1m_tokens);
    }

    #[test]
    fn test_integration_type_default() {
        assert_eq!(IntegrationType::default(), IntegrationType::DirectAPI);
    }

    #[test]
    fn test_model_count() {
        let models = vec![
            "gpt-4",
            "gpt-3.5-turbo",
            "llama-2-7b",
            "llama-2-13b",
            "llama-2-70b",
            "gemini-pro",
            "claude-2",
            "ai21-j2-jumbo",
        ];
        assert_eq!(models.len(), 8);
        for model in models {
            assert!(SAPGenerativeAIProvider::get_model_info(model).is_some());
        }
    }
}