// SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0

use std::fmt::Display;

//
// Hyperparameter Contraints
//

/// Minimum allowed value for OpenAI's `temperature` sampling option
pub const MIN_TEMPERATURE: f32 = 0.0;
/// Maximum allowed value for OpenAI's `temperature` sampling option
pub const MAX_TEMPERATURE: f32 = 2.0;
/// Allowed range of values for OpenAI's `temperature`` sampling option
pub const TEMPERATURE_RANGE: (f32, f32) = (MIN_TEMPERATURE, MAX_TEMPERATURE);

/// Minimum allowed value for OpenAI's `top_p` sampling option
pub const MIN_TOP_P: f32 = 0.0;
/// Maximum allowed value for OpenAI's `top_p` sampling option
pub const MAX_TOP_P: f32 = 1.0;
/// Allowed range of values for OpenAI's `top_p` sampling option
pub const TOP_P_RANGE: (f32, f32) = (MIN_TOP_P, MAX_TOP_P);

/// Minimum allowed value for `min_p`
pub const MIN_MIN_P: f32 = 0.0;
/// Maximum allowed value for `min_p`
pub const MAX_MIN_P: f32 = 1.0;
/// Allowed range of values for `min_p`
pub const MIN_P_RANGE: (f32, f32) = (MIN_MIN_P, MAX_MIN_P);

/// Minimum allowed value for OpenAI's `frequency_penalty` sampling option
pub const MIN_FREQUENCY_PENALTY: f32 = -2.0;
/// Maximum allowed value for OpenAI's `frequency_penalty` sampling option
pub const MAX_FREQUENCY_PENALTY: f32 = 2.0;
/// Allowed range of values for OpenAI's `frequency_penalty` sampling option
pub const FREQUENCY_PENALTY_RANGE: (f32, f32) = (MIN_FREQUENCY_PENALTY, MAX_FREQUENCY_PENALTY);

/// Minimum allowed value for OpenAI's `presence_penalty` sampling option
pub const MIN_PRESENCE_PENALTY: f32 = -2.0;
/// Maximum allowed value for OpenAI's `presence_penalty` sampling option
pub const MAX_PRESENCE_PENALTY: f32 = 2.0;
/// Allowed range of values for OpenAI's `presence_penalty` sampling option
pub const PRESENCE_PENALTY_RANGE: (f32, f32) = (MIN_PRESENCE_PENALTY, MAX_PRESENCE_PENALTY);

/// Minimum allowed value for `length_penalty`
pub const MIN_LENGTH_PENALTY: f32 = -2.0;
/// Maximum allowed value for `length_penalty`
pub const MAX_LENGTH_PENALTY: f32 = 2.0;
/// Allowed range of values for `length_penalty`
pub const LENGTH_PENALTY_RANGE: (f32, f32) = (MIN_LENGTH_PENALTY, MAX_LENGTH_PENALTY);

/// Maximum allowed value for `top_logprobs`
pub const MIN_TOP_LOGPROBS: u8 = 0;
/// Maximum allowed value for `top_logprobs`
pub const MAX_TOP_LOGPROBS: u8 = 20;

/// Minimum allowed value for `logprobs` in completion requests
pub const MIN_LOGPROBS: u8 = 0;
/// Maximum allowed value for `logprobs` in completion requests
pub const MAX_LOGPROBS: u8 = 5;

/// Minimum allowed value for `n` (number of choices)
pub const MIN_N: u8 = 1;
/// Maximum allowed value for `n` (number of choices)
pub const MAX_N: u8 = 128;
/// Allowed range of values for `n` (number of choices)
pub const N_RANGE: (u8, u8) = (MIN_N, MAX_N);

/// Maximum allowed total number of choices (batch_size × n)
pub const MAX_TOTAL_CHOICES: usize = 128;

/// Minimum allowed value for OpenAI's `logit_bias` values
pub const MIN_LOGIT_BIAS: f32 = -100.0;
/// Maximum allowed value for OpenAI's `logit_bias` values
pub const MAX_LOGIT_BIAS: f32 = 100.0;

/// Minimum allowed value for `best_of`
pub const MIN_BEST_OF: u8 = 0;
/// Maximum allowed value for `best_of`
pub const MAX_BEST_OF: u8 = 20;
/// Allowed range of values for `best_of`
pub const BEST_OF_RANGE: (u8, u8) = (MIN_BEST_OF, MAX_BEST_OF);

/// Maximum allowed number of stop sequences
pub const MAX_STOP_SEQUENCES: usize = 4;
/// Maximum allowed number of tools
pub const MAX_TOOLS: usize = 128;
// Metadata validation constants removed - we are no longer restricting the metadata field char limits
/// Maximum allowed length for function names
pub const MAX_FUNCTION_NAME_LENGTH: usize = 64;
/// Minimum allowed value for `repetition_penalty`
pub const MIN_REPETITION_PENALTY: f32 = 0.0;
/// Maximum allowed value for `repetition_penalty`
pub const MAX_REPETITION_PENALTY: f32 = 2.0;

//
// Shared Fields
//

/// Validates that no unsupported fields are present in the request
pub fn validate_no_unsupported_fields(
    unsupported_fields: &std::collections::HashMap<String, serde_json::Value>,
) -> Result<(), anyhow::Error> {
    if !unsupported_fields.is_empty() {
        let fields: Vec<_> = unsupported_fields
            .keys()
            .map(|s| format!("`{}`", s))
            .collect();
        anyhow::bail!("Unsupported parameter(s): {}", fields.join(", "));
    }
    Ok(())
}

/// Validates response_format for chat completions.
///
/// Dynamo currently supports translating:
/// - `{"type":"json_object"}` -> guided decoding JSON object schema
/// - `{"type":"json_schema","json_schema":{"schema": ...}}` -> guided decoding JSON schema
///
/// `{"type":"text"}` is accepted and means no structured constraint.
pub fn validate_response_format(
    response_format: &Option<dynamo_async_openai::types::ResponseFormat>,
) -> Result<(), anyhow::Error> {
    use dynamo_async_openai::types::ResponseFormat;

    let Some(fmt) = response_format else {
        return Ok(());
    };

    match fmt {
        ResponseFormat::Text => Ok(()),
        ResponseFormat::JsonObject => Ok(()),
        ResponseFormat::JsonSchema { json_schema } => {
            // Validate name field format
            if json_schema.name.is_empty() {
                anyhow::bail!("`response_format.json_schema.name` cannot be empty");
            }

            // Validate schema presence
            if json_schema.schema.is_none() {
                anyhow::bail!(
                    "`response_format.json_schema.schema` is required when `response_format.type` is `json_schema`"
                );
            }
            Ok(())
        }
    }
}

/// Validates the temperature parameter
pub fn validate_temperature(temperature: Option<f32>) -> Result<(), anyhow::Error> {
    if let Some(temp) = temperature
        && !(MIN_TEMPERATURE..=MAX_TEMPERATURE).contains(&temp)
    {
        anyhow::bail!(
            "Temperature must be between {} and {}, got {}",
            MIN_TEMPERATURE,
            MAX_TEMPERATURE,
            temp
        );
    }
    Ok(())
}

/// Validates the top_p parameter
pub fn validate_top_p(top_p: Option<f32>) -> Result<(), anyhow::Error> {
    if let Some(p) = top_p
        && !(MIN_TOP_P..=MAX_TOP_P).contains(&p)
    {
        anyhow::bail!(
            "Top_p must be between {} and {}, got {}",
            MIN_TOP_P,
            MAX_TOP_P,
            p
        );
    }
    Ok(())
}

// Validate top_k
pub fn validate_top_k(top_k: Option<i32>) -> Result<(), anyhow::Error> {
    match top_k {
        None => Ok(()),
        Some(k) if k == -1 || k >= 1 => Ok(()),
        _ => anyhow::bail!("Top_k must be null, -1, or greater than or equal to 1"),
    }
}

/// Validates mutual exclusion of temperature and top_p
pub fn validate_temperature_top_p_exclusion(
    temperature: Option<f32>,
    top_p: Option<f32>,
) -> Result<(), anyhow::Error> {
    match (temperature, top_p) {
        (Some(t), Some(p)) if t != 1.0 && p != 1.0 => {
            anyhow::bail!("Only one of temperature or top_p should be set (not both)");
        }
        _ => Ok(()),
    }
}

/// Validates frequency penalty parameter
pub fn validate_frequency_penalty(frequency_penalty: Option<f32>) -> Result<(), anyhow::Error> {
    if let Some(penalty) = frequency_penalty
        && !(MIN_FREQUENCY_PENALTY..=MAX_FREQUENCY_PENALTY).contains(&penalty)
    {
        anyhow::bail!(
            "Frequency penalty must be between {} and {}, got {}",
            MIN_FREQUENCY_PENALTY,
            MAX_FREQUENCY_PENALTY,
            penalty
        );
    }
    Ok(())
}

/// Validates presence penalty parameter
pub fn validate_presence_penalty(presence_penalty: Option<f32>) -> Result<(), anyhow::Error> {
    if let Some(penalty) = presence_penalty
        && !(MIN_PRESENCE_PENALTY..=MAX_PRESENCE_PENALTY).contains(&penalty)
    {
        anyhow::bail!(
            "Presence penalty must be between {} and {}, got {}",
            MIN_PRESENCE_PENALTY,
            MAX_PRESENCE_PENALTY,
            penalty
        );
    }
    Ok(())
}

pub fn validate_repetition_penalty(repetition_penalty: Option<f32>) -> Result<(), anyhow::Error> {
    // It should be greater than 0.0 and less than equal to 2.0
    if let Some(penalty) = repetition_penalty
        && (penalty <= MIN_REPETITION_PENALTY || penalty > MAX_REPETITION_PENALTY)
    {
        anyhow::bail!(
            "Repetition penalty must be between {} and {}, got {}",
            MIN_REPETITION_PENALTY,
            MAX_REPETITION_PENALTY,
            penalty
        );
    }
    Ok(())
}

/// Validates min_p parameter
pub fn validate_min_p(min_p: Option<f32>) -> Result<(), anyhow::Error> {
    if let Some(p) = min_p
        && !(MIN_MIN_P..=MAX_MIN_P).contains(&p)
    {
        anyhow::bail!(
            "Min_p must be between {} and {}, got {}",
            MIN_MIN_P,
            MAX_MIN_P,
            p
        );
    }
    Ok(())
}

/// Validates logit bias map
pub fn validate_logit_bias(
    logit_bias: &Option<std::collections::HashMap<String, serde_json::Value>>,
) -> Result<(), anyhow::Error> {
    let logit_bias = match logit_bias {
        Some(val) => val,
        None => return Ok(()),
    };

    for (token, bias_value) in logit_bias {
        let bias = bias_value.as_f64().ok_or_else(|| {
            anyhow::anyhow!(
                "Logit bias value for token '{}' must be a number, got {:?}",
                token,
                bias_value
            )
        })? as f32;

        if !(MIN_LOGIT_BIAS..=MAX_LOGIT_BIAS).contains(&bias) {
            anyhow::bail!(
                "Logit bias for token '{}' must be between {} and {}, got {}",
                token,
                MIN_LOGIT_BIAS,
                MAX_LOGIT_BIAS,
                bias
            );
        }
    }
    Ok(())
}

/// Validates n parameter (number of choices)
pub fn validate_n(n: Option<u8>) -> Result<(), anyhow::Error> {
    if let Some(value) = n
        && !(MIN_N..=MAX_N).contains(&value)
    {
        anyhow::bail!("n must be between {} and {}, got {}", MIN_N, MAX_N, value);
    }
    Ok(())
}

/// Validates total choices (batch_size × n) doesn't exceed maximum
pub fn validate_total_choices(batch_size: usize, n: u8) -> Result<(), anyhow::Error> {
    let total_choices = batch_size * (n as usize);
    if total_choices > MAX_TOTAL_CHOICES {
        anyhow::bail!(
            "Total choices (batch_size × n = {} × {} = {}) exceeds maximum of {}",
            batch_size,
            n,
            total_choices,
            MAX_TOTAL_CHOICES
        );
    }
    Ok(())
}

/// Validates n and temperature interaction
/// When n > 1, temperature must be > 0 to ensure diverse outputs
pub fn validate_n_with_temperature(
    n: Option<u8>,
    temperature: Option<f32>,
) -> Result<(), anyhow::Error> {
    if let Some(n_value) = n
        && n_value > 1
    {
        let temp = temperature.unwrap_or(1.0);
        if temp == 0.0 {
            anyhow::bail!(
                "When n > 1, temperature must be greater than 0 to ensure diverse outputs. Got n={}, temperature={}",
                n_value,
                temp
            );
        }
    }
    Ok(())
}

/// Validates model parameter
pub fn validate_model(model: &str) -> Result<(), anyhow::Error> {
    if model.trim().is_empty() {
        anyhow::bail!("Model cannot be empty");
    }
    Ok(())
}

/// Validates user parameter
pub fn validate_user(user: Option<&str>) -> Result<(), anyhow::Error> {
    if let Some(user_id) = user
        && user_id.trim().is_empty()
    {
        anyhow::bail!("User ID cannot be empty");
    }
    Ok(())
}

/// Validates stop sequences
pub fn validate_stop(stop: &Option<dynamo_async_openai::types::Stop>) -> Result<(), anyhow::Error> {
    if let Some(stop_value) = stop {
        match stop_value {
            dynamo_async_openai::types::Stop::String(s) => {
                if s.is_empty() {
                    anyhow::bail!("Stop sequence cannot be empty");
                }
            }
            dynamo_async_openai::types::Stop::StringArray(sequences) => {
                if sequences.is_empty() {
                    anyhow::bail!("Stop sequences array cannot be empty");
                }
                if sequences.len() > MAX_STOP_SEQUENCES {
                    anyhow::bail!(
                        "Maximum of {} stop sequences allowed, got {}",
                        MAX_STOP_SEQUENCES,
                        sequences.len()
                    );
                }
                for (i, sequence) in sequences.iter().enumerate() {
                    if sequence.is_empty() {
                        anyhow::bail!("Stop sequence at index {} cannot be empty", i);
                    }
                }
            }
        }
    }
    Ok(())
}

//
// Chat Completion Specific
//

/// Validates messages array
pub fn validate_messages(
    messages: &[dynamo_async_openai::types::ChatCompletionRequestMessage],
) -> Result<(), anyhow::Error> {
    if messages.is_empty() {
        anyhow::bail!("Messages array cannot be empty");
    }
    Ok(())
}

/// Validates top_logprobs parameter
pub fn validate_top_logprobs(top_logprobs: Option<u8>) -> Result<(), anyhow::Error> {
    if let Some(value) = top_logprobs
        && !(0..=20).contains(&value)
    {
        anyhow::bail!(
            "Top_logprobs must be between 0 and {}, got {}",
            MAX_TOP_LOGPROBS,
            value
        );
    }
    Ok(())
}

/// Validates tools array
pub fn validate_tools(
    tools: &Option<&[dynamo_async_openai::types::ChatCompletionTool]>,
) -> Result<(), anyhow::Error> {
    let tools = match tools {
        Some(val) => val,
        None => return Ok(()),
    };

    if tools.len() > MAX_TOOLS {
        anyhow::bail!(
            "Maximum of {} tools are supported, got {}",
            MAX_TOOLS,
            tools.len()
        );
    }

    for (i, tool) in tools.iter().enumerate() {
        if tool.function.name.len() > MAX_FUNCTION_NAME_LENGTH {
            anyhow::bail!(
                "Function name at index {} exceeds {} character limit, got {} characters",
                i,
                MAX_FUNCTION_NAME_LENGTH,
                tool.function.name.len()
            );
        }
        if tool.function.name.trim().is_empty() {
            anyhow::bail!("Function name at index {} cannot be empty", i);
        }
    }
    Ok(())
}

/// Validates reasoning effort parameter
pub fn validate_reasoning_effort(
    _reasoning_effort: &Option<dynamo_async_openai::types::ReasoningEffort>,
) -> Result<(), anyhow::Error> {
    // TODO ADD HERE
    // ReasoningEffort is an enum, so if it exists, it's valid by definition
    // This function is here for completeness and future validation needs
    Ok(())
}

/// Validates service tier parameter
pub fn validate_service_tier(
    _service_tier: &Option<dynamo_async_openai::types::ServiceTier>,
) -> Result<(), anyhow::Error> {
    // TODO ADD HERE
    // ServiceTier is an enum, so if it exists, it's valid by definition
    // This function is here for completeness and future validation needs
    Ok(())
}

//
// Completion Specific
//

/// Validates prompt
pub fn validate_prompt(prompt: &dynamo_async_openai::types::Prompt) -> Result<(), anyhow::Error> {
    match prompt {
        dynamo_async_openai::types::Prompt::String(s) => {
            if s.is_empty() {
                anyhow::bail!("Prompt string cannot be empty");
            }
        }
        dynamo_async_openai::types::Prompt::StringArray(arr) => {
            if arr.is_empty() {
                anyhow::bail!("Prompt string array cannot be empty");
            }
            for (i, s) in arr.iter().enumerate() {
                if s.is_empty() {
                    anyhow::bail!("Prompt string at index {} cannot be empty", i);
                }
            }
        }
        dynamo_async_openai::types::Prompt::IntegerArray(arr) => {
            if arr.is_empty() {
                anyhow::bail!("Prompt integer array cannot be empty");
            }
        }
        dynamo_async_openai::types::Prompt::ArrayOfIntegerArray(arr) => {
            if arr.is_empty() {
                anyhow::bail!("Prompt array of integer arrays cannot be empty");
            }
            for (i, inner_arr) in arr.iter().enumerate() {
                if inner_arr.is_empty() {
                    anyhow::bail!("Prompt integer array at index {} cannot be empty", i);
                }
            }
        }
    }
    Ok(())
}

/// Validates prompt and prompt_embeds fields together.
///
/// This function consolidates all prompt-related validation:
/// - Ensures at least one of prompt or prompt_embeds is provided
/// - If prompt_embeds is provided, validates its format (base64, size limits)
/// - If prompt_embeds is NOT provided, validates that prompt is non-empty
///
/// Format for prompt_embeds: PyTorch tensor serialized with torch.save() and base64-encoded
pub fn validate_prompt_or_embeds(
    prompt: Option<&dynamo_async_openai::types::Prompt>,
    prompt_embeds: Option<&str>,
) -> Result<(), anyhow::Error> {
    // Check that at least one is provided
    if prompt.is_none() && prompt_embeds.is_none() {
        anyhow::bail!("At least one of 'prompt' or 'prompt_embeds' must be provided");
    }

    // If prompt_embeds is provided, validate it
    if let Some(embeds) = prompt_embeds {
        validate_prompt_embeds_format(embeds)?;
    } else if let Some(p) = prompt {
        // Only validate prompt content if prompt_embeds is NOT provided
        // When embeddings are present, prompt can be empty/placeholder
        validate_prompt(p)?;
    }

    Ok(())
}

/// Validates prompt_embeds format (internal helper)
/// Format: PyTorch tensor serialized with torch.save() and base64-encoded
fn validate_prompt_embeds_format(embeds: &str) -> Result<(), anyhow::Error> {
    use base64::{Engine as _, engine::general_purpose};

    // Validate base64 encoding first
    let decoded = general_purpose::STANDARD
        .decode(embeds)
        .map_err(|_| anyhow::anyhow!("prompt_embeds must be valid base64-encoded data"))?;

    // Check minimum size on decoded bytes (100 bytes)
    const MIN_SIZE: usize = 100;
    if decoded.len() < MIN_SIZE {
        anyhow::bail!(
            "prompt_embeds decoded data must be at least {MIN_SIZE} bytes, got {} bytes",
            decoded.len()
        );
    }

    // Check maximum size on decoded bytes (10MB)
    const MAX_SIZE: usize = 10 * 1024 * 1024;
    if decoded.len() > MAX_SIZE {
        anyhow::bail!(
            "prompt_embeds decoded data exceeds maximum size of 10MB, got {} bytes",
            decoded.len()
        );
    }

    Ok(())
}

/// Validates prompt_embeds field (public wrapper for standalone validation)
/// Format: PyTorch tensor serialized with torch.save() and base64-encoded
pub fn validate_prompt_embeds(prompt_embeds: Option<&str>) -> Result<(), anyhow::Error> {
    if let Some(embeds) = prompt_embeds {
        validate_prompt_embeds_format(embeds)?;
    }
    Ok(())
}

/// Validates logprobs parameter (for completion requests)
pub fn validate_logprobs(logprobs: Option<u8>) -> Result<(), anyhow::Error> {
    if let Some(value) = logprobs
        && !(MIN_LOGPROBS..=MAX_LOGPROBS).contains(&value)
    {
        anyhow::bail!(
            "Logprobs must be between 0 and {}, got {}",
            MAX_LOGPROBS,
            value
        );
    }
    Ok(())
}

/// Validates best_of parameter
pub fn validate_best_of(best_of: Option<u8>, n: Option<u8>) -> Result<(), anyhow::Error> {
    if let Some(best_of_value) = best_of {
        if !(MIN_BEST_OF..=MAX_BEST_OF).contains(&best_of_value) {
            anyhow::bail!(
                "Best_of must be between 0 and {}, got {}",
                MAX_BEST_OF,
                best_of_value
            );
        }

        if let Some(n_value) = n
            && best_of_value < n_value
        {
            anyhow::bail!(
                "Best_of must be greater than or equal to n, got best_of={} and n={}",
                best_of_value,
                n_value
            );
        }
    }
    Ok(())
}

/// Validates suffix parameter
pub fn validate_suffix(suffix: Option<&str>) -> Result<(), anyhow::Error> {
    if let Some(suffix_str) = suffix {
        // Suffix can be empty, but if it's very long it might cause issues
        if suffix_str.len() > 10000 {
            anyhow::bail!("Suffix is too long, maximum 10000 characters");
        }
    }
    Ok(())
}

/// Validates max_tokens parameter
pub fn validate_max_tokens(max_tokens: Option<u32>) -> Result<(), anyhow::Error> {
    if let Some(tokens) = max_tokens
        && tokens == 0
    {
        anyhow::bail!("Max tokens must be greater than 0, got {}", tokens);
    }
    Ok(())
}

/// Validates max_completion_tokens parameter
pub fn validate_max_completion_tokens(
    max_completion_tokens: Option<u32>,
) -> Result<(), anyhow::Error> {
    if let Some(tokens) = max_completion_tokens
        && tokens == 0
    {
        anyhow::bail!(
            "Max completion tokens must be greater than 0, got {}",
            tokens
        );
    }
    Ok(())
}

//
// Helpers
//

pub fn validate_range<T>(value: Option<T>, range: &(T, T)) -> anyhow::Result<Option<T>>
where
    T: PartialOrd + Display,
{
    if value.is_none() {
        return Ok(None);
    }
    let value = value.unwrap();
    if value < range.0 || value > range.1 {
        anyhow::bail!("Value {} is out of range [{}, {}]", value, range.0, range.1);
    }
    Ok(Some(value))
}
