// Copyright (c) 2023-2026 ParadeDB, Inc.
//
// This file is part of ParadeDB - Postgres for Search and Analytics
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program. If not, see <http://www.gnu.org/licenses/>.

use crate::api::tokenizers::typmod;
use crate::api::tokenizers::typmod::validation::{rule, PropertyRule, ValueConstraint};
use crate::api::tokenizers::typmod::{load_typmod, ParsedTypmod, TypmodSchema};
use tokenizers::chinese_convert::ConvertMode;
use tokenizers::manager::{LinderaLanguage, SearchTokenizerFilters};
use tokenizers::SearchNormalizer;

pub struct AliasTypmod(Option<String>);

// extract typmod values without validating them
// this is meant to be called outside of the `CREATE INDEX` path
pub struct UncheckedTypmod {
    parsed: ParsedTypmod,
    filters: SearchTokenizerFilters,
}

// for typmods that do not have special parameters, like `pdb.simple`
pub struct GenericTypmod {
    pub filters: SearchTokenizerFilters,
}

// for pdb.jieba
pub struct JiebaTypmod {
    pub chinese_convert: Option<ConvertMode>,
    pub filters: SearchTokenizerFilters,
}

// for pdb.ngram
pub struct NgramTypmod {
    pub min_gram: usize,
    pub max_gram: usize,
    pub prefix_only: bool,
    pub positions: bool,
    pub filters: SearchTokenizerFilters,
}

// for pdb.edge_ngram
pub struct EdgeNgramTypmod {
    pub min_gram: usize,
    pub max_gram: usize,
    pub token_chars: Vec<String>,
    pub filters: SearchTokenizerFilters,
}

// for pdb.regex_pattern
pub struct RegexTypmod {
    pub pattern: regex::Regex,
    pub filters: SearchTokenizerFilters,
}

// for pdb.lindera
pub struct LinderaTypmod {
    pub language: LinderaLanguage,
    pub filters: SearchTokenizerFilters,
    pub keep_whitespace: bool,
}

// for pdb.unicode_words
pub struct UnicodeWordsTypmod {
    pub remove_emojis: bool,
    pub filters: SearchTokenizerFilters,
}

trait TypmodRules {
    fn rules() -> Vec<PropertyRule>;

    fn parsed(typmod: i32) -> typmod::Result<ParsedTypmod> {
        let parsed = load_typmod(typmod)?;
        let schema = TypmodSchema::new(Self::rules());
        schema.validate(&parsed)?;

        Ok(parsed)
    }
}

impl TypmodRules for GenericTypmod {
    fn rules() -> Vec<PropertyRule> {
        vec![]
    }
}

impl TypmodRules for JiebaTypmod {
    fn rules() -> Vec<PropertyRule> {
        vec![rule!(
            "chinese_convert",
            ValueConstraint::StringChoice(vec!["t2s", "s2t", "tw2s", "tw2sp", "s2tw", "s2twp"])
        )]
    }
}

impl TypmodRules for NgramTypmod {
    fn rules() -> Vec<PropertyRule> {
        vec![
            rule!(
                "min",
                ValueConstraint::Integer {
                    min: Some(1),
                    max: None,
                },
                required,
                positional = 0
            ),
            rule!(
                "max",
                ValueConstraint::Integer {
                    min: Some(1),
                    max: None,
                },
                required,
                positional = 1
            ),
            rule!("prefix_only", ValueConstraint::Boolean),
            rule!("positions", ValueConstraint::Boolean),
        ]
    }
}

impl TypmodRules for EdgeNgramTypmod {
    fn rules() -> Vec<PropertyRule> {
        vec![
            rule!(
                "min",
                ValueConstraint::Integer {
                    min: Some(1),
                    max: None,
                },
                required,
                positional = 0
            ),
            rule!(
                "max",
                ValueConstraint::Integer {
                    min: Some(1),
                    max: None,
                },
                required,
                positional = 1
            ),
            rule!(
                "token_chars",
                ValueConstraint::StringChoiceMultiple(vec![
                    "letter",
                    "digit",
                    "whitespace",
                    "punctuation",
                    "symbol"
                ])
            ),
        ]
    }
}

impl TypmodRules for RegexTypmod {
    fn rules() -> Vec<PropertyRule> {
        vec![rule!(
            "pattern",
            ValueConstraint::Regex,
            required,
            positional = 0
        )]
    }
}

impl TypmodRules for LinderaTypmod {
    fn rules() -> Vec<PropertyRule> {
        vec![
            rule!(
                "language",
                ValueConstraint::StringChoice(vec!["chinese", "japanese", "korean"]),
                required,
                positional = 0
            ),
            rule!("keep_whitespace", ValueConstraint::Boolean),
        ]
    }
}

impl TypmodRules for UnicodeWordsTypmod {
    fn rules() -> Vec<PropertyRule> {
        vec![rule!(
            "remove_emojis",
            ValueConstraint::Boolean,
            positional = 0
        )]
    }
}

impl TypmodRules for AliasTypmod {
    fn rules() -> Vec<PropertyRule> {
        vec![rule!(
            "alias",
            ValueConstraint::String,
            required,
            positional = 0
        )]
    }
}

impl TryFrom<i32> for GenericTypmod {
    type Error = typmod::Error;

    fn try_from(typmod: i32) -> Result<Self, Self::Error> {
        let parsed = Self::parsed(typmod)?;
        let filters = SearchTokenizerFilters::from(&parsed);
        Ok(GenericTypmod { filters })
    }
}

impl TryFrom<i32> for JiebaTypmod {
    type Error = typmod::Error;

    fn try_from(typmod: i32) -> Result<Self, Self::Error> {
        let parsed = Self::parsed(typmod)?;
        let filters = SearchTokenizerFilters::from(&parsed);
        let chinese_convert = parsed
            .get("chinese_convert")
            .and_then(|p| p.as_str())
            .map(|s| {
                let lcase: String = s.to_lowercase();
                match lcase.as_str() {
                    "t2s" => ConvertMode::T2S,
                    "s2t" => ConvertMode::S2T,
                    "tw2s" => ConvertMode::TW2S,
                    "tw2sp" => ConvertMode::TW2SP,
                    "s2tw" => ConvertMode::S2TW,
                    "s2twp" => ConvertMode::S2TWP,
                    other => panic!("unknown chinese convert mode: {other}"),
                }
            });
        Ok(JiebaTypmod {
            chinese_convert,
            filters,
        })
    }
}

impl TryFrom<i32> for NgramTypmod {
    type Error = typmod::Error;

    fn try_from(typmod: i32) -> Result<Self, Self::Error> {
        let parsed = Self::parsed(typmod)?;
        let filters = SearchTokenizerFilters::from(&parsed);
        let min_gram = parsed
            .try_get("min", 0)
            .and_then(|p| p.as_usize())
            .ok_or(typmod::Error::MissingKey("min"))?;
        let max_gram = parsed
            .try_get("max", 1)
            .and_then(|p| p.as_usize())
            .ok_or(typmod::Error::MissingKey("max"))?;
        let prefix_only = parsed
            .get("prefix_only")
            .and_then(|p| p.as_bool())
            .unwrap_or(false);
        let positions = parsed
            .get("positions")
            .and_then(|p| p.as_bool())
            .unwrap_or(false);

        Ok(NgramTypmod {
            min_gram,
            max_gram,
            prefix_only,
            positions,
            filters,
        })
    }
}

impl TryFrom<i32> for EdgeNgramTypmod {
    type Error = typmod::Error;

    fn try_from(typmod: i32) -> Result<Self, Self::Error> {
        let parsed = Self::parsed(typmod)?;
        let filters = SearchTokenizerFilters::from(&parsed);
        let min_gram = parsed
            .try_get("min", 0)
            .and_then(|p| p.as_usize())
            .ok_or(typmod::Error::MissingKey("min"))?;
        let max_gram = parsed
            .try_get("max", 1)
            .and_then(|p| p.as_usize())
            .ok_or(typmod::Error::MissingKey("max"))?;
        let token_chars = parsed
            .get("token_chars")
            .and_then(|p| p.as_str())
            .map(|s| s.split(',').map(|c| c.trim().to_string()).collect())
            .unwrap_or_else(|| vec!["letter".to_string(), "digit".to_string()]);
        Ok(EdgeNgramTypmod {
            min_gram,
            max_gram,
            token_chars,
            filters,
        })
    }
}

impl TryFrom<i32> for RegexTypmod {
    type Error = typmod::Error;

    fn try_from(typmod: i32) -> Result<Self, Self::Error> {
        let parsed = Self::parsed(typmod)?;
        let filters = SearchTokenizerFilters::from(&parsed);
        let pattern = parsed
            .try_get("pattern", 0)
            .and_then(|p| p.as_regex())
            .ok_or(typmod::Error::MissingKey("pattern"))??;

        Ok(RegexTypmod { pattern, filters })
    }
}

impl TryFrom<i32> for LinderaTypmod {
    type Error = typmod::Error;

    fn try_from(typmod: i32) -> Result<Self, Self::Error> {
        let parsed = Self::parsed(typmod)?;
        let filters = SearchTokenizerFilters::from(&parsed);
        let language = parsed
            .try_get("language", 0)
            .map(|p| match p.as_str() {
                None => panic!("missing language"),
                Some(s) => {
                    let lcase = s.to_lowercase();
                    match lcase.as_str() {
                        "chinese" => LinderaLanguage::Chinese,
                        "japanese" => LinderaLanguage::Japanese,
                        "korean" => LinderaLanguage::Korean,
                        other => panic!("unknown lindera language: {other}"),
                    }
                }
            })
            .ok_or(typmod::Error::MissingKey("language"))?;
        let keep_whitespace = parsed
            .get("keep_whitespace")
            .and_then(|v| v.as_bool())
            .unwrap_or(false);
        Ok(LinderaTypmod {
            language,
            filters,
            keep_whitespace,
        })
    }
}

impl TryFrom<i32> for UnicodeWordsTypmod {
    type Error = typmod::Error;

    fn try_from(typmod: i32) -> Result<Self, Self::Error> {
        let parsed = Self::parsed(typmod)?;
        let filters = SearchTokenizerFilters::from(&parsed);
        let remove_emojis = parsed.try_get("remove_emojis", 0).is_some();
        Ok(UnicodeWordsTypmod {
            remove_emojis,
            filters,
        })
    }
}

impl TryFrom<i32> for UncheckedTypmod {
    type Error = typmod::Error;

    fn try_from(typmod: i32) -> Result<Self, Self::Error> {
        let parsed = load_typmod(typmod)?;
        let filters = SearchTokenizerFilters::from(&parsed);
        Ok(UncheckedTypmod { parsed, filters })
    }
}

impl TryFrom<i32> for AliasTypmod {
    type Error = typmod::Error;

    fn try_from(typmod: i32) -> Result<Self, Self::Error> {
        let parsed = Self::parsed(typmod)?;
        let alias = parsed
            .try_get("alias", 0)
            .and_then(|p| p.as_str())
            .map(|s| s.to_string());
        Ok(AliasTypmod(alias))
    }
}

impl UncheckedTypmod {
    pub fn alias(&self) -> Option<String> {
        self.parsed
            .get("alias")
            .map(|p| p.as_str().unwrap().to_string())
    }

    pub fn normalizer(&self) -> Option<SearchNormalizer> {
        self.filters.normalizer
    }
}

impl AliasTypmod {
    pub fn alias(&self) -> Option<String> {
        self.0.clone()
    }
}
