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use std::sync::Arc;
use std::sync::mpsc::{Receiver, Sender, channel};
use tokio_util::sync::CancellationToken;
use ansi_to_tui::IntoText;
use ratatui::text::{Line, Span, Text};
#[cfg(test)]
use crate::autocomplete::json_navigator::DEFAULT_ARRAY_SAMPLE_SIZE;
use crate::query::executor::JqExecutor;
use crate::query::worker::preprocess::{parse_and_detect_type, strip_ansi_codes};
use crate::query::worker::types::RenderedLine;
use crate::query::worker::{QueryRequest, QueryResponse, spawn_worker};
use serde_json::Value;
/// Type of result returned by a jq query
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum ResultType {
/// Array containing objects: [{"a": 1}, {"b": 2}]
ArrayOfObjects,
/// Multiple objects from destructuring: {"a": 1}\n{"b": 2}
DestructuredObjects,
/// Single object: {"a": 1}
Object,
/// Array of primitives: [1, 2, 3]
Array,
/// String value: "hello"
String,
/// Numeric value: 42, 3.14
Number,
/// Boolean value: true, false
Boolean,
/// Null value
Null,
}
/// Query execution state
pub struct QueryState {
pub executor: JqExecutor,
pub result: Result<String, String>,
/// Cached last successful result with ANSI colors (for rendering on error)
/// Uses Arc to make cloning cheap - autocomplete clones this on every keystroke!
pub last_successful_result: Option<Arc<String>>,
/// Unformatted result without ANSI codes (for autosuggestion analysis)
/// Uses Arc to make cloning cheap - autocomplete clones this on every keystroke!
pub last_successful_result_unformatted: Option<Arc<String>>,
/// Parsed JSON value of last successful result (for autocomplete field extraction)
/// Uses Arc to avoid re-parsing large files on every keystroke!
/// This is THE critical optimization for large files.
pub last_successful_result_parsed: Option<Arc<Value>>,
/// Pre-rendered Text<'static> for display
/// Avoids expensive into_text() conversion in render loop (~10x/sec)
pub last_successful_result_rendered: Option<Text<'static>>,
/// Cached processed result for AI context (minified/truncated)
/// Updated only when last_successful_result_unformatted changes
pub last_successful_result_for_context: Option<Arc<String>>,
/// Base query that produced the last successful result (for suggestions)
pub base_query_for_suggestions: Option<String>,
/// Type of the last successful result (for type-aware suggestions)
pub base_type_for_suggestions: Option<ResultType>,
/// Cached line count (computed once per result, not per render)
pub(crate) cached_line_count: u32,
/// Cached max line width (computed once per result, not per render)
pub(crate) cached_max_line_width: u16,
/// Cached line widths per line (computed once per result, not per render)
pub(crate) cached_line_widths: Option<Arc<Vec<u16>>>,
/// Cached execution time in milliseconds
pub(crate) cached_execution_time_ms: Option<u64>,
/// Whether current result is null/empty (valid query but no results)
pub is_empty_result: bool,
// Async execution support
/// Channel to send query requests to worker
request_tx: Option<Sender<QueryRequest>>,
/// Channel to receive query responses from worker
response_rx: Option<Receiver<QueryResponse>>,
/// Current request ID counter (starts at 1, 0 reserved for worker errors)
next_request_id: u64,
/// ID of currently in-flight request, if any
in_flight_request_id: Option<u64>,
/// Cancellation token for current request
current_cancel_token: Option<CancellationToken>,
/// Array sample size for autocomplete
array_sample_size: usize,
}
impl QueryState {
/// Create a new QueryState with default sample size
#[cfg(test)]
pub fn new(json_input: String) -> Self {
Self::new_with_sample_size(json_input, DEFAULT_ARRAY_SAMPLE_SIZE)
}
pub fn new_with_sample_size(json_input: String, array_sample_size: usize) -> Self {
let executor = JqExecutor::new_with_sample_size(json_input.clone(), array_sample_size);
let cancel_token = CancellationToken::new();
let result = executor
.execute_with_cancel(".", &cancel_token)
.map_err(|e| e.to_string());
let last_successful_result = result.as_ref().ok().map(|s| Arc::new(s.clone()));
let last_successful_result_unformatted = last_successful_result
.as_ref()
.map(|s| Arc::new(strip_ansi_codes(s)));
// Pre-process for AI context
let last_successful_result_for_context =
last_successful_result_unformatted.as_ref().map(|s| {
Arc::new(crate::ai::context::prepare_json_for_context(
s,
crate::ai::context::MAX_JSON_SAMPLE_LENGTH,
))
});
let base_query_for_suggestions = Some(".".to_string());
// Parse JSON and detect type in single pass (avoids duplicate parsing)
let (last_successful_result_parsed, base_type_for_suggestions) =
last_successful_result_unformatted
.as_ref()
.map(|s| {
let (parsed, result_type) = parse_and_detect_type(s, array_sample_size);
(parsed.map(Arc::new), Some(result_type))
})
.unwrap_or((None, None));
// Pre-render result to avoid expensive conversion in render loop
let last_successful_result_rendered = last_successful_result.clone().map(|s| {
s.as_bytes()
.to_vec()
.into_text()
.unwrap_or_else(|_| Text::raw(s.to_string()))
});
// Cache line count, max width, and line widths for initial result
let (cached_line_count, cached_max_line_width, cached_line_widths) =
last_successful_result_unformatted
.as_ref()
.map(|s| {
let mut line_count: u32 = 0;
let mut max_width: usize = 0;
let mut widths: Vec<u16> = Vec::new();
for line in s.lines() {
line_count += 1;
let width = line.len().min(u16::MAX as usize);
widths.push(width as u16);
if width > max_width {
max_width = width;
}
}
(
line_count,
max_width.min(u16::MAX as usize) as u16,
Some(Arc::new(widths)),
)
})
.unwrap_or((0, 0, None));
let (request_tx, request_rx) = channel();
let (response_tx, response_rx) = channel();
spawn_worker(json_input, request_rx, response_tx, array_sample_size);
Self {
executor,
result,
last_successful_result,
last_successful_result_unformatted,
last_successful_result_parsed,
last_successful_result_rendered,
last_successful_result_for_context,
base_query_for_suggestions,
base_type_for_suggestions,
cached_line_count,
cached_max_line_width,
cached_line_widths,
cached_execution_time_ms: None,
is_empty_result: false,
request_tx: Some(request_tx),
response_rx: Some(response_rx),
next_request_id: 1, // Reserve 0 for worker errors
in_flight_request_id: None,
current_cancel_token: None,
array_sample_size,
}
}
/// Execute a query and update results
/// Only caches non-null results for autosuggestions
pub fn execute(&mut self, query: &str) {
let cancel_token = CancellationToken::new();
self.result = self
.executor
.execute_with_cancel(query, &cancel_token)
.map_err(|e| e.to_string());
if let Ok(result) = &self.result {
self.update_successful_result(result.clone(), query);
}
}
/// Update cached results for autosuggestions
///
/// Only caches non-null results to avoid polluting suggestions with partial queries.
fn update_successful_result(&mut self, output: String, query: &str) {
// Partial queries like ".s" return "null"; keep last meaningful result for suggestions
let unformatted = strip_ansi_codes(&output);
// Compute line metrics and is_only_nulls in a single pass
// is_only_nulls is true if all non-empty lines are "null" (including vacuous truth for empty output)
let mut cached_line_count: u32 = 0;
let mut cached_max_line_width: usize = 0;
let mut widths: Vec<u16> = Vec::new();
let mut is_only_nulls = true;
for line in unformatted.lines() {
cached_line_count += 1;
let width = line.len().min(u16::MAX as usize);
widths.push(width as u16);
if width > cached_max_line_width {
cached_max_line_width = width;
}
let trimmed = line.trim();
if !trimmed.is_empty() && trimmed != "null" {
is_only_nulls = false;
}
}
let cached_max_line_width = cached_max_line_width.min(u16::MAX as usize) as u16;
self.is_empty_result = is_only_nulls;
if !is_only_nulls {
// Pre-render result BEFORE moving output into Arc
// This avoids expensive into_text() conversion in render loop
let rendered = output
.as_bytes()
.to_vec()
.into_text()
.unwrap_or_else(|_| Text::raw(output.clone()));
self.last_successful_result_rendered = Some(rendered);
self.last_successful_result = Some(Arc::new(output));
self.last_successful_result_unformatted = Some(Arc::new(unformatted.clone()));
// Pre-process for AI context (minified/truncated)
self.last_successful_result_for_context =
Some(Arc::new(crate::ai::context::prepare_json_for_context(
&unformatted,
crate::ai::context::MAX_JSON_SAMPLE_LENGTH,
)));
// Parse JSON and detect type in single pass (avoids duplicate parsing)
let (parsed, result_type) = parse_and_detect_type(&unformatted, self.array_sample_size);
self.last_successful_result_parsed = parsed.map(Arc::new);
self.base_type_for_suggestions = Some(result_type);
// Trim trailing whitespace/incomplete operators: ".services | ." → ".services"
let base_query = Self::normalize_base_query(query);
self.base_query_for_suggestions = Some(base_query);
self.cached_line_count = cached_line_count;
self.cached_max_line_width = cached_max_line_width;
self.cached_line_widths = Some(Arc::new(widths));
}
}
/// Execute query asynchronously
///
/// Sends query to worker thread and returns immediately.
/// Call poll_response() in main event loop to get results.
///
/// Automatically cancels any in-flight request before starting new one.
pub fn execute_async(&mut self, query: &str) {
// Cancel any existing request
self.cancel_in_flight();
// Allocate new request ID
let request_id = self.next_request_id;
self.next_request_id = self.next_request_id.wrapping_add(1);
// Skip 0 on wrap (reserved for worker errors)
if self.next_request_id == 0 {
self.next_request_id = 1;
}
// Create cancellation token
let cancel_token = CancellationToken::new();
self.current_cancel_token = Some(cancel_token.clone());
self.in_flight_request_id = Some(request_id);
// Send request to worker
if let Some(ref tx) = self.request_tx {
let request = QueryRequest {
query: query.to_string(),
request_id,
cancel_token,
};
// If send fails, worker died - clear channels
if tx.send(request).is_err() {
log::error!("Query worker disconnected - send failed");
self.request_tx = None;
self.response_rx = None;
self.in_flight_request_id = None;
self.current_cancel_token = None;
self.result = Err("Query worker disconnected".to_string());
}
} else {
log::error!("No request channel available");
}
}
/// Cancel in-flight request if any
pub fn cancel_in_flight(&mut self) {
if let Some(token) = self.current_cancel_token.take() {
token.cancel();
}
self.in_flight_request_id = None;
}
/// Poll for query responses (non-blocking)
///
/// Call this in main event loop to check for completed queries.
/// Returns the query that produced the last completed result (for AI context), or None if no update.
pub fn poll_response(&mut self) -> Option<String> {
let mut completed_query: Option<String> = None;
// Take the receiver temporarily to avoid borrow checker issues
let rx = self.response_rx.take()?;
// Process all available responses
// Keep last completed query (if multiple responses, most recent wins)
loop {
match rx.try_recv() {
Ok(response) => {
if let Some(query) = self.process_response(response) {
completed_query = Some(query);
}
}
Err(std::sync::mpsc::TryRecvError::Empty) => {
// Put receiver back and break
self.response_rx = Some(rx);
break;
}
Err(std::sync::mpsc::TryRecvError::Disconnected) => {
log::error!("Query worker disconnected in poll_response");
self.request_tx = None;
if self.in_flight_request_id.is_some() {
self.result = Err("Query worker disconnected".to_string());
self.in_flight_request_id = None;
self.current_cancel_token = None;
completed_query = Some(String::new());
}
// Don't put receiver back - it's disconnected
break;
}
}
}
completed_query
}
/// Process a single response
///
/// Returns the query that produced this result (for AI context updates).
/// Returns None if response was stale/cancelled (no state change).
fn process_response(&mut self, response: QueryResponse) -> Option<String> {
let current_request_id = self.in_flight_request_id;
match response {
QueryResponse::ProcessedSuccess {
processed,
request_id,
} => {
// Ignore stale responses
if Some(request_id) != current_request_id {
return None;
}
// Use precomputed is_only_nulls from worker thread
let is_only_nulls = processed.is_only_nulls;
self.is_empty_result = is_only_nulls;
// Clear in-flight tracking immediately
self.in_flight_request_id = None;
self.current_cancel_token = None;
// Only update cache if result is not null (same as sync path)
if !is_only_nulls {
// Convert rendered lines to Text (fast - just allocations)
let rendered = Self::rendered_lines_to_text(processed.rendered_lines);
// Update result and all caches
self.result = Ok(processed.output.as_ref().clone());
self.last_successful_result = Some(processed.output);
self.last_successful_result_unformatted = Some(processed.unformatted.clone());
self.last_successful_result_rendered = Some(rendered);
self.last_successful_result_parsed = processed.parsed;
// Pre-process for AI context
self.last_successful_result_for_context =
Some(Arc::new(crate::ai::context::prepare_json_for_context(
&processed.unformatted,
crate::ai::context::MAX_JSON_SAMPLE_LENGTH,
)));
self.cached_line_count = processed.line_count;
self.cached_max_line_width = processed.max_width;
self.cached_line_widths = Some(processed.line_widths);
self.cached_execution_time_ms = processed.execution_time_ms;
self.base_query_for_suggestions = Some(processed.query.clone());
self.base_type_for_suggestions = Some(processed.result_type);
} else {
// Null result - preserve ALL cache including rendered output
// Only update self.result so it shows as "null" in error state
self.result = Ok(processed.output.as_ref().clone());
}
Some(processed.query)
}
QueryResponse::Error {
message,
query,
request_id,
} => {
// Worker-level errors (request_id == 0) always apply
// Request-level errors only apply if they match current request
if request_id == 0 || Some(request_id) == current_request_id {
self.in_flight_request_id = None;
self.current_cancel_token = None;
self.result = Err(message);
self.is_empty_result = false;
// Return the query that produced this error for AI context
return Some(query);
}
None
}
QueryResponse::Cancelled { request_id } => {
// Only clear in-flight if it matches
if Some(request_id) == current_request_id {
self.in_flight_request_id = None;
self.current_cancel_token = None;
}
None
}
}
}
/// Check if a query is currently pending
pub fn is_pending(&self) -> bool {
self.in_flight_request_id.is_some()
}
/// Normalize base query by stripping trailing incomplete operations
///
/// Strips patterns like:
/// - " | ." → pipe with identity (will be re-added by PipeOperator formula)
/// - "." at end → trailing dot (incomplete field access)
/// - Trailing whitespace
///
/// Examples:
/// - ".services | ." → ".services"
/// - ".services[]." → ".services[]"
/// - ".user " → ".user"
/// - "." → "." (keep root as-is)
fn normalize_base_query(query: &str) -> String {
let mut base = query.trim_end().to_string();
// Strip trailing " | ." pattern (pipe followed by identity)
// The PipeOperator formula will re-add " | " with proper spacing
if base.ends_with(" | .") {
base = base[..base.len() - 4].trim_end().to_string();
}
// Strip trailing " | " (incomplete pipe without operand)
else if base.ends_with(" |") {
base = base[..base.len() - 2].trim_end().to_string();
}
// Strip trailing "." if it's incomplete field access
// But preserve "." if it's the root query
else if base.ends_with('.') && base.len() > 1 {
base = base[..base.len() - 1].to_string();
}
base
}
/// Convert pre-rendered lines to Text for display
///
/// Takes Vec<RenderedLine> from worker and converts to ratatui Text.
/// This is a simple allocation operation - much faster than ANSI parsing.
fn rendered_lines_to_text(lines: Vec<RenderedLine>) -> Text<'static> {
Text::from(
lines
.into_iter()
.map(|line| {
Line::from(
line.spans
.into_iter()
.map(|s| Span::styled(s.content, s.style))
.collect::<Vec<_>>(),
)
})
.collect::<Vec<_>>(),
)
}
/// Get the total number of lines in the current results
/// Note: Returns u32 to handle large files (>65K lines) correctly
/// Always uses cached value computed when result changes
pub fn line_count(&self) -> u32 {
self.cached_line_count
}
/// Get the maximum line width in the current results (for horizontal scrolling)
/// Always uses cached value computed when result changes
pub fn max_line_width(&self) -> u16 {
self.cached_max_line_width
}
}
#[cfg(test)]
#[path = "query_state_tests.rs"]
mod query_state_tests;