// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements.  See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership.  The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License.  You may obtain a copy of the License at
//
//   http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied.  See the License for the
// specific language governing permissions and limitations
// under the License.

use arrow::datatypes::{DataType, TimeUnit, DECIMAL128_MAX_PRECISION};
use arrow::{
    array::{
        cast::as_primitive_array,
        types::{Int32Type, TimestampMicrosecondType},
        BooleanBufferBuilder,
    },
    buffer::BooleanBuffer,
};
use datafusion::logical_expr::EmitTo;
use std::sync::Arc;

use crate::timezone::Tz;
use arrow::array::types::TimestampMillisecondType;
use arrow::array::TimestampMicrosecondArray;
use arrow::datatypes::{MAX_DECIMAL128_FOR_EACH_PRECISION, MIN_DECIMAL128_FOR_EACH_PRECISION};
use arrow::error::ArrowError;
use arrow::{
    array::{as_dictionary_array, Array, ArrayRef, PrimitiveArray},
    temporal_conversions::as_datetime,
};
use chrono::{DateTime, LocalResult, NaiveDateTime, Offset, TimeZone};

/// Preprocesses input arrays to add timezone information from Spark to Arrow array datatype or
/// to apply timezone offset.
//
//  We consider the following cases:
//
//  | --------------------- | ------------ | ----------------- | -------------------------------- |
//  | Conversion            | Input array  | Timezone          | Output array                     |
//  | --------------------- | ------------ | ----------------- | -------------------------------- |
//  | Timestamp ->          | Array in UTC | Timezone of input | A timestamp with the timezone    |
//  |  Utf8 or Date32       |              |                   | offset applied and timezone      |
//  |                       |              |                   | removed                          |
//  | --------------------- | ------------ | ----------------- | -------------------------------- |
//  | Timestamp ->          | Array in UTC | Timezone of input | Same as input array              |
//  |  Timestamp  w/Timezone|              |                   |                                  |
//  | --------------------- | ------------ | ----------------- | -------------------------------- |
//  | Timestamp_ntz ->      | Array in     | Timezone of input | Same as input array              |
//  |   Utf8 or Date32      | timezone     |                   |                                  |
//  |                       | session local|                   |                                  |
//  |                       | timezone     |                   |                                  |
//  | --------------------- | ------------ | ----------------- | -------------------------------- |
//  | Timestamp_ntz ->      | Array in     | Timezone of input |  Array in UTC and timezone       |
//  |  Timestamp w/Timezone | session local|                   |  specified in input              |
//  |                       | timezone     |                   |                                  |
//  | --------------------- | ------------ | ----------------- | -------------------------------- |
//  | Timestamp(_ntz) ->    |                                                                     |
//  |        Any other type |              Not Supported                                          |
//  | --------------------- | ------------ | ----------------- | -------------------------------- |
//
pub fn array_with_timezone(
    array: ArrayRef,
    timezone: String,
    to_type: Option<&DataType>,
) -> Result<ArrayRef, ArrowError> {
    match array.data_type() {
        DataType::Timestamp(TimeUnit::Millisecond, None) => {
            assert!(!timezone.is_empty());
            match to_type {
                Some(DataType::Utf8) | Some(DataType::Date32) => Ok(array),
                Some(DataType::Timestamp(_, Some(target_tz))) => {
                    // Interpret NTZ as local time in session TZ; annotate output with target TZ
                    // so the result has the exact annotation the caller expects.
                    timestamp_ntz_to_timestamp(array, timezone.as_str(), Some(target_tz.as_ref()))
                }
                Some(DataType::Timestamp(TimeUnit::Microsecond, None)) => {
                    // Convert from Timestamp(Millisecond, None) to Timestamp(Microsecond, None)
                    let millis_array = as_primitive_array::<TimestampMillisecondType>(&array);
                    let micros_array: TimestampMicrosecondArray =
                        arrow::compute::kernels::arity::unary(millis_array, |v| v * 1000);
                    Ok(Arc::new(micros_array))
                }
                _ => {
                    // Not supported
                    Err(ArrowError::CastError(format!(
                        "Cannot convert from {:?} to {:?}",
                        array.data_type(),
                        to_type.unwrap()
                    )))
                }
            }
        }
        DataType::Timestamp(TimeUnit::Microsecond, None) => {
            assert!(!timezone.is_empty());
            match to_type {
                Some(DataType::Utf8) | Some(DataType::Date32) => Ok(array),
                Some(DataType::Timestamp(_, Some(target_tz))) => {
                    timestamp_ntz_to_timestamp(array, timezone.as_str(), Some(target_tz.as_ref()))
                }
                _ => {
                    // Not supported
                    Err(ArrowError::CastError(format!(
                        "Cannot convert from {:?} to {:?}",
                        array.data_type(),
                        to_type.unwrap()
                    )))
                }
            }
        }
        DataType::Timestamp(_, None) => {
            assert!(!timezone.is_empty());
            match to_type {
                Some(DataType::Utf8) | Some(DataType::Date32) => Ok(array),
                Some(DataType::Timestamp(_, Some(target_tz))) => {
                    timestamp_ntz_to_timestamp(array, timezone.as_str(), Some(target_tz.as_ref()))
                }
                _ => {
                    // Not supported
                    Err(ArrowError::CastError(format!(
                        "Cannot convert from {:?} to {:?}",
                        array.data_type(),
                        to_type.unwrap()
                    )))
                }
            }
        }
        DataType::Timestamp(TimeUnit::Microsecond, Some(_)) => {
            assert!(!timezone.is_empty());
            let array = as_primitive_array::<TimestampMicrosecondType>(&array);
            let array_with_timezone = array.clone().with_timezone(timezone.clone());
            let array = Arc::new(array_with_timezone) as ArrayRef;
            match to_type {
                Some(DataType::Utf8) | Some(DataType::Date32) => {
                    pre_timestamp_cast(array, timezone)
                }
                _ => Ok(array),
            }
        }
        DataType::Timestamp(TimeUnit::Millisecond, Some(_)) => {
            assert!(!timezone.is_empty());
            let array = as_primitive_array::<TimestampMillisecondType>(&array);
            let array_with_timezone = array.clone().with_timezone(timezone.clone());
            let array = Arc::new(array_with_timezone) as ArrayRef;
            match to_type {
                Some(DataType::Utf8) | Some(DataType::Date32) => {
                    pre_timestamp_cast(array, timezone)
                }
                _ => Ok(array),
            }
        }
        DataType::Dictionary(_, value_type)
            if matches!(value_type.as_ref(), &DataType::Timestamp(_, _)) =>
        {
            let dict = as_dictionary_array::<Int32Type>(&array);
            let array = as_primitive_array::<TimestampMicrosecondType>(dict.values());
            let array_with_timezone =
                array_with_timezone(Arc::new(array.clone()) as ArrayRef, timezone, to_type)?;
            let dict = dict.with_values(array_with_timezone);
            Ok(Arc::new(dict))
        }
        _ => Ok(array),
    }
}

fn datetime_cast_err(value: i64) -> ArrowError {
    ArrowError::CastError(format!(
        "Cannot convert TimestampMicrosecondType {value} to datetime. Comet only supports dates between Jan 1, 262145 BCE and Dec 31, 262143 CE",
    ))
}

/// Resolves a local datetime in the given timezone to an absolute DateTime,
/// handling DST ambiguity and spring-forward gaps.
/// Parameters:
///     tz - timezone used to interpret local_datetime
///     local_datetime - a naive local datetime to resolve
pub(crate) fn resolve_local_datetime(tz: &Tz, local_datetime: NaiveDateTime) -> DateTime<Tz> {
    match tz.from_local_datetime(&local_datetime) {
        LocalResult::Single(dt) => dt,
        LocalResult::Ambiguous(dt, _) => dt,
        LocalResult::None => {
            // Determine offset before time-change
            let probe = local_datetime - chrono::Duration::hours(3);
            let pre_offset = match tz.from_local_datetime(&probe) {
                LocalResult::Single(dt) => dt.offset().fix(),
                LocalResult::Ambiguous(dt, _) => dt.offset().fix(),
                LocalResult::None => {
                    // Cannot determine offset; fall back to UTC interpretation
                    return local_datetime.and_utc().with_timezone(tz);
                }
            };
            let offset_secs = pre_offset.local_minus_utc() as i64;

            let utc_naive = local_datetime - chrono::Duration::seconds(offset_secs);
            utc_naive.and_utc().with_timezone(tz)
        }
    }
}

/// Takes in a Timestamp(Microsecond, None) array and a timezone id, and returns
/// a Timestamp(Microsecond, Some<_>) array.
/// The understanding is that the input array has time in the timezone specified in the second
/// argument.
/// Parameters:
///     array - input array of timestamp without timezone
///     tz - timezone of the values in the input array
///     to_timezone - timezone to change the input values to
pub(crate) fn timestamp_ntz_to_timestamp(
    array: ArrayRef,
    tz: &str,
    to_timezone: Option<&str>,
) -> Result<ArrayRef, ArrowError> {
    assert!(!tz.is_empty());
    match array.data_type() {
        DataType::Timestamp(TimeUnit::Microsecond, None) => {
            let array = as_primitive_array::<TimestampMicrosecondType>(&array);
            let tz: Tz = tz.parse()?;
            let array: PrimitiveArray<TimestampMicrosecondType> = array.try_unary(|value| {
                as_datetime::<TimestampMicrosecondType>(value)
                    .ok_or_else(|| datetime_cast_err(value))
                    .map(|local_datetime| {
                        let datetime = resolve_local_datetime(&tz, local_datetime);

                        datetime.timestamp_micros()
                    })
            })?;
            let array_with_tz = if let Some(to_tz) = to_timezone {
                array.with_timezone(to_tz)
            } else {
                array
            };
            Ok(Arc::new(array_with_tz))
        }
        DataType::Timestamp(TimeUnit::Millisecond, None) => {
            let array = as_primitive_array::<TimestampMillisecondType>(&array);
            let tz: Tz = tz.parse()?;
            let array: PrimitiveArray<TimestampMillisecondType> = array.try_unary(|value| {
                as_datetime::<TimestampMillisecondType>(value)
                    .ok_or_else(|| datetime_cast_err(value))
                    .map(|local_datetime| {
                        let datetime = resolve_local_datetime(&tz, local_datetime);

                        datetime.timestamp_millis()
                    })
            })?;
            let array_with_tz = if let Some(to_tz) = to_timezone {
                array.with_timezone(to_tz)
            } else {
                array
            };
            Ok(Arc::new(array_with_tz))
        }
        _ => Ok(array),
    }
}

/// Converts a `Timestamp(Microsecond, Some(_))` array to `Timestamp(Microsecond, None)`
/// (TIMESTAMP_NTZ) by interpreting the UTC epoch value in the given session timezone and
/// storing the resulting local datetime as epoch-relative microseconds without a TZ annotation.
///
/// Matches Spark: `convertTz(ts, ZoneOffset.UTC, zoneId)`
pub(crate) fn cast_timestamp_to_ntz(
    array: ArrayRef,
    timezone: &str,
) -> Result<ArrayRef, ArrowError> {
    assert!(!timezone.is_empty());
    let tz: Tz = timezone.parse()?;
    match array.data_type() {
        DataType::Timestamp(TimeUnit::Microsecond, Some(_)) => {
            let array = as_primitive_array::<TimestampMicrosecondType>(&array);
            let result: PrimitiveArray<TimestampMicrosecondType> = array.try_unary(|value| {
                as_datetime::<TimestampMicrosecondType>(value)
                    .ok_or_else(|| datetime_cast_err(value))
                    .map(|utc_naive| {
                        // Convert UTC naive datetime → local datetime in session TZ
                        let local_dt = tz.from_utc_datetime(&utc_naive);
                        // Re-encode as epoch-relative μs treating local time as UTC anchor.
                        // This produces the NTZ representation (no offset applied).
                        local_dt.naive_local().and_utc().timestamp_micros()
                    })
            })?;
            // No timezone annotation on output = TIMESTAMP_NTZ
            Ok(Arc::new(result))
        }
        _ => Err(ArrowError::CastError(format!(
            "cast_timestamp_to_ntz: unexpected input type {:?}",
            array.data_type()
        ))),
    }
}

/// This takes for special pre-casting cases of Spark. E.g., Timestamp to String.
fn pre_timestamp_cast(array: ArrayRef, timezone: String) -> Result<ArrayRef, ArrowError> {
    assert!(!timezone.is_empty());
    match array.data_type() {
        DataType::Timestamp(_, _) => {
            // Spark doesn't output timezone while casting timestamp to string, but arrow's cast
            // kernel does if timezone exists. So we need to apply offset of timezone to array
            // timestamp value and remove timezone from array datatype.
            let array = as_primitive_array::<TimestampMicrosecondType>(&array);

            let tz: Tz = timezone.parse()?;
            let array: PrimitiveArray<TimestampMicrosecondType> = array.try_unary(|value| {
                as_datetime::<TimestampMicrosecondType>(value)
                    .ok_or_else(|| datetime_cast_err(value))
                    .map(|datetime| {
                        let offset = tz.offset_from_utc_datetime(&datetime).fix();
                        let datetime = datetime + offset;
                        datetime.and_utc().timestamp_micros()
                    })
            })?;

            Ok(Arc::new(array))
        }
        _ => Ok(array),
    }
}

/// Adapted from arrow-rs `validate_decimal_precision` but returns bool
/// instead of Err to avoid the cost of formatting the error strings and is
/// optimized to remove a memcpy that exists in the original function
/// we can remove this code once we upgrade to a version of arrow-rs that
/// includes https://github.com/apache/arrow-rs/pull/6419
#[inline]
pub fn is_valid_decimal_precision(value: i128, precision: u8) -> bool {
    precision <= DECIMAL128_MAX_PRECISION
        && value >= MIN_DECIMAL128_FOR_EACH_PRECISION[precision as usize]
        && value <= MAX_DECIMAL128_FOR_EACH_PRECISION[precision as usize]
}

/// Build a boolean buffer from the state and reset the state, based on the emit_to
/// strategy.
pub fn build_bool_state(state: &mut BooleanBufferBuilder, emit_to: &EmitTo) -> BooleanBuffer {
    let bool_state: BooleanBuffer = state.finish();

    match emit_to {
        EmitTo::All => bool_state,
        EmitTo::First(n) => {
            state.append_buffer(&bool_state.slice(*n, bool_state.len() - n));
            bool_state.slice(0, *n)
        }
    }
}

// These are borrowed from hashbrown crate:
//   https://github.com/rust-lang/hashbrown/blob/master/src/raw/mod.rs

// On stable we can use #[cold] to get a equivalent effect: this attributes
// suggests that the function is unlikely to be called
#[inline]
#[cold]
pub fn cold() {}

#[inline]
pub fn likely(b: bool) -> bool {
    if !b {
        cold();
    }
    b
}
#[inline]
pub fn unlikely(b: bool) -> bool {
    if b {
        cold();
    }
    b
}

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

    fn array_containing(local_datetime: &str) -> ArrayRef {
        let dt = NaiveDateTime::parse_from_str(local_datetime, "%Y-%m-%d %H:%M:%S").unwrap();
        let ts = dt.and_utc().timestamp_micros();
        Arc::new(TimestampMicrosecondArray::from(vec![ts]))
    }

    fn micros_for(datetime: &str) -> i64 {
        NaiveDateTime::parse_from_str(datetime, "%Y-%m-%d %H:%M:%S")
            .unwrap()
            .and_utc()
            .timestamp_micros()
    }

    #[test]
    fn test_build_bool_state() {
        let mut builder = BooleanBufferBuilder::new(0);
        builder.append_packed_range(0..16, &[0x42u8, 0x39u8]);

        let mut first_nine = BooleanBufferBuilder::new(0);
        first_nine.append_packed_range(0..9, &[0x42u8, 0x01u8]);
        let first_nine = first_nine.finish();
        let mut last = BooleanBufferBuilder::new(0);
        last.append_packed_range(0..7, &[0x1cu8]);
        let last = last.finish();

        assert_eq!(
            first_nine,
            build_bool_state(&mut builder, &EmitTo::First(9))
        );
        assert_eq!(last, build_bool_state(&mut builder, &EmitTo::All));
    }

    #[test]
    fn test_timestamp_ntz_to_timestamp_handles_non_existent_time() {
        let output = timestamp_ntz_to_timestamp(
            array_containing("2024-03-31 01:30:00"),
            "Europe/London",
            None,
        )
        .unwrap();

        assert_eq!(
            as_primitive_array::<TimestampMicrosecondType>(&output).value(0),
            micros_for("2024-03-31 01:30:00")
        );
    }

    #[test]
    fn test_timestamp_ntz_to_timestamp_handles_ambiguous_time() {
        let output = timestamp_ntz_to_timestamp(
            array_containing("2024-10-27 01:30:00"),
            "Europe/London",
            None,
        )
        .unwrap();

        assert_eq!(
            as_primitive_array::<TimestampMicrosecondType>(&output).value(0),
            micros_for("2024-10-27 00:30:00")
        );
    }

    // Helper: build a Timestamp(Microsecond, Some(tz)) array from a UTC datetime string
    fn ts_with_tz(utc_datetime: &str, tz: &str) -> ArrayRef {
        let dt = NaiveDateTime::parse_from_str(utc_datetime, "%Y-%m-%d %H:%M:%S").unwrap();
        let ts = dt.and_utc().timestamp_micros();
        Arc::new(TimestampMicrosecondArray::from(vec![ts]).with_timezone(tz.to_string()))
    }

    #[test]
    fn test_cast_timestamp_to_ntz_utc() {
        // In UTC, local time == UTC time, so NTZ value == UTC epoch value
        let input = ts_with_tz("2024-01-15 10:30:00", "UTC");
        let result = cast_timestamp_to_ntz(input, "UTC").unwrap();
        let out = as_primitive_array::<TimestampMicrosecondType>(&result);
        // Expected NTZ value: epoch μs for "2024-01-15 10:30:00" as if it were UTC
        let expected = NaiveDateTime::parse_from_str("2024-01-15 10:30:00", "%Y-%m-%d %H:%M:%S")
            .unwrap()
            .and_utc()
            .timestamp_micros();
        assert_eq!(out.value(0), expected);
        assert_eq!(out.timezone(), None); // no TZ annotation = NTZ
    }

    #[test]
    fn test_cast_timestamp_to_ntz_offset_timezone() {
        // UTC epoch for "2024-01-15 15:30:00 UTC" cast to NTZ with session TZ = America/New_York (UTC-5)
        // Local time in NY = 10:30:00 → NTZ should store epoch μs for "2024-01-15 10:30:00"
        let input = ts_with_tz("2024-01-15 15:30:00", "UTC");
        let result = cast_timestamp_to_ntz(input, "America/New_York").unwrap();
        let out = as_primitive_array::<TimestampMicrosecondType>(&result);
        let expected = NaiveDateTime::parse_from_str("2024-01-15 10:30:00", "%Y-%m-%d %H:%M:%S")
            .unwrap()
            .and_utc()
            .timestamp_micros();
        assert_eq!(out.value(0), expected);
        assert_eq!(out.timezone(), None);
    }

    #[test]
    fn test_cast_timestamp_to_ntz_dst() {
        // During DST: UTC epoch for "2024-07-04 16:30:00 UTC", session TZ = America/New_York (UTC-4 in summer)
        // Local time in NY = 12:30:00 → NTZ stores epoch μs for "2024-07-04 12:30:00"
        let input = ts_with_tz("2024-07-04 16:30:00", "UTC");
        let result = cast_timestamp_to_ntz(input, "America/New_York").unwrap();
        let out = as_primitive_array::<TimestampMicrosecondType>(&result);
        let expected = NaiveDateTime::parse_from_str("2024-07-04 12:30:00", "%Y-%m-%d %H:%M:%S")
            .unwrap()
            .and_utc()
            .timestamp_micros();
        assert_eq!(out.value(0), expected);
    }
}
