Files
improvise/src/import/wizard.rs
Ed L eae00522e2 Initial implementation of Improvise TUI
Multi-dimensional data modeling terminal application with:
- Core data model: categories, items, groups, sparse cell store
- Formula system: recursive-descent parser, named formulas, WHERE clauses
- View system: Row/Column/Page axes, tile-based pivot, page slicing
- JSON import wizard (interactive TUI + headless auto-mode)
- Command layer: all mutations via typed Command enum for headless replay
- TUI: Ratatui grid, tile bar, formula/category/view panels, help overlay
- Persistence: .improv (JSON), .improv.gz (gzip), CSV export, autosave
- Static binary via x86_64-unknown-linux-musl + nix flake devShell
- Headless mode: --cmd '{"op":"..."}' and --script file.jsonl

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-20 21:11:55 -07:00

247 lines
8.0 KiB
Rust

use serde_json::Value;
use anyhow::{anyhow, Result};
use super::analyzer::{FieldKind, FieldProposal, analyze_records, extract_array_at_path, find_array_paths};
use crate::model::Model;
use crate::model::cell::{CellKey, CellValue};
#[derive(Debug, Clone, PartialEq)]
pub enum WizardState {
Preview,
SelectArrayPath,
ReviewProposals,
NameModel,
Done,
}
#[derive(Debug)]
pub struct ImportWizard {
pub state: WizardState,
pub raw: Value,
pub array_paths: Vec<String>,
pub selected_path: String,
pub records: Vec<Value>,
pub proposals: Vec<FieldProposal>,
pub model_name: String,
pub cursor: usize,
/// Message to display
pub message: Option<String>,
}
impl ImportWizard {
pub fn new(raw: Value) -> Self {
let array_paths = find_array_paths(&raw);
let state = if raw.is_array() {
WizardState::ReviewProposals
} else if array_paths.len() == 1 {
WizardState::ReviewProposals
} else {
WizardState::SelectArrayPath
};
let mut wizard = Self {
state: WizardState::Preview,
raw: raw.clone(),
array_paths: array_paths.clone(),
selected_path: String::new(),
records: vec![],
proposals: vec![],
model_name: "Imported Model".to_string(),
cursor: 0,
message: None,
};
// Auto-select if array at root or single path
if raw.is_array() {
wizard.select_path("");
} else if array_paths.len() == 1 {
let path = array_paths[0].clone();
wizard.select_path(&path);
}
wizard.state = if wizard.records.is_empty() && raw.is_object() {
WizardState::SelectArrayPath
} else {
wizard.advance();
return wizard;
};
wizard
}
fn select_path(&mut self, path: &str) {
self.selected_path = path.to_string();
if let Some(arr) = extract_array_at_path(&self.raw, path) {
self.records = arr.clone();
self.proposals = analyze_records(&self.records);
}
}
pub fn advance(&mut self) {
self.state = match self.state {
WizardState::Preview => {
if self.array_paths.len() <= 1 {
WizardState::ReviewProposals
} else {
WizardState::SelectArrayPath
}
}
WizardState::SelectArrayPath => WizardState::ReviewProposals,
WizardState::ReviewProposals => WizardState::NameModel,
WizardState::NameModel => WizardState::Done,
WizardState::Done => WizardState::Done,
};
self.cursor = 0;
self.message = None;
}
pub fn confirm_path(&mut self) {
if self.cursor < self.array_paths.len() {
let path = self.array_paths[self.cursor].clone();
self.select_path(&path);
self.advance();
}
}
pub fn toggle_proposal(&mut self) {
if self.cursor < self.proposals.len() {
self.proposals[self.cursor].accepted = !self.proposals[self.cursor].accepted;
}
}
pub fn cycle_proposal_kind(&mut self) {
if self.cursor < self.proposals.len() {
let p = &mut self.proposals[self.cursor];
p.kind = match p.kind {
FieldKind::Category => FieldKind::Measure,
FieldKind::Measure => FieldKind::TimeCategory,
FieldKind::TimeCategory => FieldKind::Label,
FieldKind::Label => FieldKind::Category,
};
}
}
pub fn move_cursor(&mut self, delta: i32) {
let len = match self.state {
WizardState::SelectArrayPath => self.array_paths.len(),
WizardState::ReviewProposals => self.proposals.len(),
_ => 0,
};
if len == 0 { return; }
if delta > 0 {
self.cursor = (self.cursor + 1).min(len - 1);
} else if self.cursor > 0 {
self.cursor -= 1;
}
}
pub fn push_name_char(&mut self, c: char) {
self.model_name.push(c);
}
pub fn pop_name_char(&mut self) {
self.model_name.pop();
}
pub fn build_model(&self) -> Result<Model> {
let mut model = Model::new(self.model_name.clone());
// Collect categories and measures from accepted proposals
let categories: Vec<&FieldProposal> = self.proposals.iter()
.filter(|p| p.accepted && matches!(p.kind, FieldKind::Category | FieldKind::TimeCategory))
.collect();
let measures: Vec<&FieldProposal> = self.proposals.iter()
.filter(|p| p.accepted && p.kind == FieldKind::Measure)
.collect();
if categories.is_empty() {
return Err(anyhow!("At least one category must be accepted"));
}
// Add categories
for cat_proposal in &categories {
model.add_category(&cat_proposal.field)?;
if let Some(cat) = model.category_mut(&cat_proposal.field) {
for val in &cat_proposal.distinct_values {
cat.add_item(val);
}
}
}
// If there are measures, add a "Measure" category
if !measures.is_empty() {
model.add_category("Measure")?;
if let Some(cat) = model.category_mut("Measure") {
for m in &measures {
cat.add_item(&m.field);
}
}
}
// Import records as cells
for record in &self.records {
if let Value::Object(map) = record {
// Build base coordinate from category fields
let mut coords: Vec<(String, String)> = vec![];
let mut valid = true;
for cat_proposal in &categories {
let val = map.get(&cat_proposal.field)
.and_then(|v| v.as_str())
.map(|s| s.to_string())
.or_else(|| map.get(&cat_proposal.field).map(|v| v.to_string()));
if let Some(v) = val {
// Ensure item exists
if let Some(cat) = model.category_mut(&cat_proposal.field) {
cat.add_item(&v);
}
coords.push((cat_proposal.field.clone(), v));
} else {
valid = false;
break;
}
}
if !valid { continue; }
// Add each measure as a cell
for measure in &measures {
if let Some(val) = map.get(&measure.field).and_then(|v| v.as_f64()) {
let mut cell_coords = coords.clone();
if !measures.is_empty() {
cell_coords.push(("Measure".to_string(), measure.field.clone()));
}
let key = CellKey::new(cell_coords);
model.set_cell(key, CellValue::Number(val));
}
}
}
}
Ok(model)
}
pub fn preview_summary(&self) -> String {
match &self.raw {
Value::Array(arr) => {
format!(
"Array of {} records. Sample keys: {}",
arr.len(),
arr.first()
.and_then(|r| r.as_object())
.map(|m| m.keys().take(5).cloned().collect::<Vec<_>>().join(", "))
.unwrap_or_default()
)
}
Value::Object(map) => {
format!(
"Object with {} top-level keys: {}",
map.len(),
map.keys().take(10).cloned().collect::<Vec<_>>().join(", ")
)
}
_ => "Unknown JSON structure".to_string(),
}
}
}