fix(import): headless import refuses instead of silently succeeding (improvise-8jk6.4, improvise-8jk6.5, improvise-8jk6.6)
- 8jk6.4: the CSV parser yields source text (CsvRecords), and only the role reads it as a number. A forced category keeps00565796and220944e2verbatim; measures and analysis read the text through csv_parser::number_in. CsvRecords reaches a pipeline only through ImportPipeline::from_csv, so handing CSV text to the JSON constructor no longer compiles. - 8jk6.5: an import formula that does not parse is refused by name with its parse error: the build refuses (headless exits non-zero and writes nothing), and the wizard keeps it out of the list with the text still in the buffer. - 8jk6.6: an import that kept no record refuses and says why, from the build and from the wizard's review step. A partial skip stays a warning with a count and exit 0. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01VdfEGXA7aJ6ftMsCc9PJze
This commit is contained in:
committed by
Edward Langley
parent
4e68372c25
commit
8bd4b1a77b
@@ -1239,7 +1239,7 @@ pub struct ImportJsonHeadless {
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}
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impl Effect for ImportJsonHeadless {
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fn apply(&self, app: &mut App) {
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use crate::import::analyzer::{FieldKind, analyze_records};
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use crate::import::analyzer::FieldKind;
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use crate::import::wizard::{DuplicatePolicy, ImportPipeline};
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let is_csv = self
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@@ -1247,10 +1247,10 @@ impl Effect for ImportJsonHeadless {
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.extension()
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.is_some_and(|ext| ext.eq_ignore_ascii_case("csv"));
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// Parse the file exactly once: `records` feeds analysis, `raw` is reused
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// as the pipeline's value (improvise-oaq). CSV warnings go to the status.
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// Parse the file exactly once, into the pipeline that reads it
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// (improvise-oaq, improvise-8jk6.4). CSV warnings go to the status.
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let mut warnings: Vec<String> = vec![];
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let (records, raw) = if is_csv {
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let mut pipeline = if is_csv {
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let bytes = match app.storage.read(&self.path) {
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Ok(b) => b,
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Err(e) => {
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@@ -1261,8 +1261,7 @@ impl Effect for ImportJsonHeadless {
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match crate::import::csv_parser::parse_csv_bytes_with_warnings(&bytes) {
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Ok((recs, w)) => {
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warnings = w;
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let raw = serde_json::Value::Array(recs.clone());
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(recs, raw)
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ImportPipeline::from_csv(recs)
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}
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Err(e) => {
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refuse_and_stop(app, format!("CSV error: {e}"));
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@@ -1285,38 +1284,28 @@ impl Effect for ImportJsonHeadless {
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}
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};
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match json_import_records(&value, self.array_path.as_deref()) {
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Ok(recs) => (recs, value),
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Ok(recs) => {
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let mut pipeline = ImportPipeline::new(value);
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pipeline.selected_path = self.array_path.clone().unwrap_or_default();
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pipeline.records = recs;
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pipeline.analyze();
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pipeline
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}
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Err(msg) => {
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refuse_and_stop(app, msg);
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return;
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}
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}
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};
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let proposals = analyze_records(&records);
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let pipeline = ImportPipeline {
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raw,
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array_paths: vec![],
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selected_path: self.array_path.as_deref().unwrap_or("").to_string(),
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records,
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proposals: proposals
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.into_iter()
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.map(|mut p| {
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p.accepted = p.kind != FieldKind::Label;
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p
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})
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.collect(),
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model_name: self
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.model_name
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.as_deref()
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.unwrap_or("Imported Model")
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.to_string(),
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formulas: vec![],
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// Headless: nobody to ask, so a collision refuses (improvise-cgqt).
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on_duplicate: DuplicatePolicy::Refuse,
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sources: vec![],
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};
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pipeline.model_name = self
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.model_name
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.clone()
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.unwrap_or_else(|| "Imported Model".to_string());
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// Headless: nobody to ask, so a collision refuses (improvise-cgqt).
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pipeline.on_duplicate = DuplicatePolicy::Refuse;
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for p in &mut pipeline.proposals {
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p.accepted = p.kind != FieldKind::Label;
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}
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match pipeline.build_model_with_warnings() {
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Ok((new_workbook, build_warnings)) => {
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@@ -7,14 +7,32 @@ use serde_json::Value;
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use crate::storage::{PhysicalFs, Storage};
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/// Parsed CSV records. Every value is its source text, so they reach an import
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/// only through `ImportPipeline::from_csv` (improvise-8jk6.4).
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#[derive(Debug, Clone, Default, PartialEq)]
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pub struct CsvRecords(Vec<Value>);
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impl std::ops::Deref for CsvRecords {
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type Target = [Value];
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fn deref(&self) -> &[Value] {
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&self.0
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}
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}
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impl CsvRecords {
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pub(crate) fn into_values(self) -> Vec<Value> {
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self.0
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}
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}
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pub fn csv_path_p(path: &Path) -> bool {
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path.extension()
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.is_some_and(|ext| ext.eq_ignore_ascii_case("csv"))
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}
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/// Parse a CSV file into a `serde_json::Value` array. Short-row warnings go to
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/// stderr; [`parse_csv_with_warnings`] captures them instead.
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pub fn parse_csv(path: &Path) -> Result<Vec<Value>> {
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/// Parse a CSV file into records. Short-row warnings go to stderr;
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/// [`parse_csv_with_warnings`] captures them instead.
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pub fn parse_csv(path: &Path) -> Result<CsvRecords> {
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let (records, warnings) = parse_csv_with_warnings(path)?;
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for warning in &warnings {
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eprintln!("warning: {warning}");
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@@ -24,7 +42,7 @@ pub fn parse_csv(path: &Path) -> Result<Vec<Value>> {
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/// Parse a CSV file, returning records plus warnings. A short row keeps every
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/// header column, missing ones `Null`, each reported with a row count.
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pub fn parse_csv_with_warnings(path: &Path) -> Result<(Vec<Value>, Vec<String>)> {
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pub fn parse_csv_with_warnings(path: &Path) -> Result<(CsvRecords, Vec<String>)> {
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let bytes = std::fs::read(path)
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.with_context(|| format!("Failed to open CSV file: {}", path.display()))?;
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parse_csv_bytes_with_warnings(&bytes)
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@@ -32,9 +50,9 @@ pub fn parse_csv_with_warnings(path: &Path) -> Result<(Vec<Value>, Vec<String>)>
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/// As [`parse_csv_with_warnings`] but over bytes, so import can come from any
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/// [`Storage`](crate::storage::Storage) backend, not only a file (improvise-fuj).
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pub fn parse_csv_bytes_with_warnings(bytes: &[u8]) -> Result<(Vec<Value>, Vec<String>)> {
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pub fn parse_csv_bytes_with_warnings(bytes: &[u8]) -> Result<(CsvRecords, Vec<String>)> {
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let (_, records, warnings) = parse_csv_bytes(bytes)?;
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Ok((records, warnings))
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Ok((CsvRecords(records), warnings))
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}
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/// The header (after renaming), the records and the warnings.
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@@ -152,7 +170,7 @@ fn disambiguate_headers(raw: Vec<String>) -> (Vec<String>, Vec<String>) {
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/// Parse multiple CSV files and merge into a single JSON array.
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/// Each record gets a "File" field set to the filename stem (e.g., "sales" from "sales.csv").
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pub fn merge_csvs(paths: &[impl AsRef<Path>]) -> Result<Vec<Value>> {
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pub fn merge_csvs(paths: &[impl AsRef<Path>]) -> Result<CsvRecords> {
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let merged = merge_csvs_from(&PhysicalFs, paths)?;
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for warning in &merged.warnings {
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eprintln!("warning: {warning}");
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@@ -173,7 +191,7 @@ pub struct SourceFile {
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/// Several CSV files as one record set, with each file's own columns kept.
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#[derive(Debug, Clone, PartialEq)]
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pub struct Merged {
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pub records: Vec<Value>,
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pub records: CsvRecords,
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/// One per distinct `File` item, in the order the files were read.
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pub sources: Vec<SourceFile>,
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/// Each file's parse warnings, prefixed with its path.
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@@ -184,7 +202,7 @@ pub struct Merged {
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/// and two files with one stem share its item and its columns (improvise-lpzu).
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pub fn merge_csvs_from(fs: &dyn Storage, paths: &[impl AsRef<Path>]) -> Result<Merged> {
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let mut merged = Merged {
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records: Vec::new(),
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records: CsvRecords::default(),
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sources: Vec::new(),
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warnings: Vec::new(),
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};
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@@ -212,7 +230,7 @@ pub fn merge_csvs_from(fs: &dyn Storage, paths: &[impl AsRef<Path>]) -> Result<M
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if let Value::Object(ref mut map) = record {
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map.insert(FILE_CATEGORY.to_string(), Value::String(stem.clone()));
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}
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merged.records.push(record);
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merged.records.0.push(record);
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}
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}
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Ok(merged)
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@@ -266,26 +284,33 @@ fn csv_documents_in(fs: &dyn Storage, dir: &Path) -> Result<Vec<PathBuf>> {
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Ok(csvs)
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}
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/// A field is its source text: which ones are numbers is decided by the role
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/// the import gives the column (improvise-8jk6.4, `context/code/formula-and-io.md`).
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fn parse_csv_field(field: &str) -> Value {
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if field.is_empty() {
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return Value::Null;
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match field.is_empty() {
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true => Value::Null,
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false => Value::String(field.to_string()),
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}
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}
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// Try to parse as number (integer or float)
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if let Ok(num) = field.parse::<i64>() {
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return Value::Number(serde_json::Number::from(num));
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/// The number a CSV field's text reads as, where a number is wanted.
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pub fn number_in(text: &str) -> Option<serde_json::Number> {
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if let Ok(num) = text.parse::<i64>() {
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return Some(serde_json::Number::from(num));
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}
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// NaN and the infinities have no JSON number. A fabricated 0 is an invented
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// measurement (improvise-jc95), so the token falls through and stays text.
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if let Ok(num) = field.parse::<f64>()
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&& let Some(number) = serde_json::Number::from_f64(num)
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{
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return Value::Number(number);
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}
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// measurement (improvise-jc95), so the token stays text.
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text.parse::<f64>()
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.ok()
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.and_then(serde_json::Number::from_f64)
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}
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// Otherwise treat as string
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Value::String(field.to_string())
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/// A CSV value as a typed JSON value: numeric text becomes its number.
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pub fn typed(value: &Value) -> Value {
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match value.as_str().and_then(number_in) {
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Some(number) => Value::Number(number),
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None => value.clone(),
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}
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}
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#[cfg(test)]
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@@ -310,8 +335,9 @@ mod tests {
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assert_eq!(records.len(), 2);
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assert_eq!(records[0]["Region"], Value::String("East".to_string()));
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assert_eq!(records[0]["Product"], Value::String("Shirts".to_string()));
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assert_eq!(records[0]["Revenue"], Value::String("1000".to_string()));
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assert_eq!(
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records[0]["Revenue"],
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typed(&records[0]["Revenue"]),
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Value::Number(serde_json::Number::from(1000))
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);
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}
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@@ -323,9 +349,10 @@ mod tests {
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let records = parse_csv(&path).unwrap();
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assert_eq!(records.len(), 2);
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assert!(records[0]["Revenue"].is_f64());
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assert_eq!(records[0]["Revenue"], Value::String("1000.50".to_string()));
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assert!(typed(&records[0]["Revenue"]).is_f64());
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assert_eq!(
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records[0]["Revenue"],
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typed(&records[0]["Revenue"]),
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Value::Number(serde_json::Number::from_f64(1000.50).unwrap())
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);
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}
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@@ -363,10 +390,10 @@ mod tests {
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assert_eq!(records.len(), 2);
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assert_eq!(records[0]["Name"], Value::String("Widget".to_string()));
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assert_eq!(
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records[0]["Count"],
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typed(&records[0]["Count"]),
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Value::Number(serde_json::Number::from(5))
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);
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assert!(records[0]["Price"].is_f64());
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assert!(typed(&records[0]["Price"]).is_f64());
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assert_eq!(records[0]["Active"], Value::String("true".to_string()));
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}
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@@ -386,10 +413,7 @@ mod tests {
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assert_eq!(records[3]["File"], Value::String("expenses".to_string()));
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// Original fields preserved
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assert_eq!(records[0]["Region"], Value::String("East".to_string()));
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assert_eq!(
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records[2]["Revenue"],
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Value::Number(serde_json::Number::from(50))
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);
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assert_eq!(records[2]["Revenue"], Value::String("50".to_string()));
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}
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#[test]
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@@ -492,10 +516,10 @@ mod tests {
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]
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);
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assert_eq!(
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merged.records,
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*merged.records,
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[
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serde_json::json!({"entity": "src/a.rs", "coupled": "src/b.rs", "degree": 80, "File": "coupling"}),
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serde_json::json!({"entity": "src/a.rs", "age-months": 2, "File": "age"}),
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serde_json::json!({"entity": "src/a.rs", "coupled": "src/b.rs", "degree": "80", "File": "coupling"}),
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serde_json::json!({"entity": "src/a.rs", "age-months": "2", "File": "age"}),
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]
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);
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}
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@@ -640,10 +664,7 @@ mod tests {
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assert!(warnings.is_empty());
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assert_eq!(records.len(), 2);
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assert_eq!(records[0]["Region"], Value::String("East".to_string()));
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assert_eq!(
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records[0]["Revenue"],
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Value::Number(serde_json::Number::from(1))
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);
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assert_eq!(records[0]["Revenue"], Value::String("1".to_string()));
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assert_eq!(records[1]["Region"], Value::String("West".to_string()));
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let (control, _) = parse_csv_bytes_with_warnings(b"Region,Revenue\nEa\rst,1\n").unwrap();
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@@ -698,7 +719,8 @@ mod tests {
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token.parse::<f64>().is_ok_and(|n| !n.is_finite()),
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"precondition: {token} parses as a non-finite f64"
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);
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assert_eq!(parse_csv_field(token), Value::String(token.to_string()));
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let text = Value::String(token.to_string());
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assert_eq!(typed(&text), text);
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}
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}
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@@ -707,10 +729,10 @@ mod tests {
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#[test]
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fn an_ordinary_float_is_still_a_number() {
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assert_eq!(
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parse_csv_field("1000.50"),
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typed(&Value::String("1000.50".into())),
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Value::Number(serde_json::Number::from_f64(1000.50).unwrap())
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);
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assert_eq!(parse_csv_field("0"), Value::Number(0.into()));
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assert_eq!(typed(&Value::String("0".into())), Value::Number(0.into()));
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}
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/// improvise-5hfh: two equal header names are one JSON key, so the later
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@@ -719,9 +741,9 @@ mod tests {
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fn a_repeated_header_is_renamed_rather_than_overwriting_its_twin() {
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let (records, warnings) = parse_csv_bytes_with_warnings(b"A,B,A\n1,2,3\n").unwrap();
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let map = records[0].as_object().unwrap();
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assert_eq!(map["A"], Value::Number(1.into()));
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assert_eq!(map["B"], Value::Number(2.into()));
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assert_eq!(map["A_2"], Value::Number(3.into()));
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assert_eq!(map["A"], Value::String("1".into()));
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assert_eq!(map["B"], Value::String("2".into()));
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assert_eq!(map["A_2"], Value::String("3".into()));
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assert_eq!(warnings.len(), 1);
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assert!(warnings[0].contains("'A'") && warnings[0].contains("'A_2'"));
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assert!(warnings[0].contains("column 3"), "{}", warnings[0]);
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@@ -734,8 +756,8 @@ mod tests {
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let (records, _) = parse_csv_bytes_with_warnings(b"A,A_2,A\n1,2,3\n").unwrap();
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let map = records[0].as_object().unwrap();
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assert_eq!(map.len(), 3, "{map:?}");
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assert_eq!(map["A_2"], Value::Number(2.into()));
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assert_eq!(map["A_3"], Value::Number(3.into()));
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assert_eq!(map["A_2"], Value::String("2".into()));
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assert_eq!(map["A_3"], Value::String("3".into()));
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}
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#[test]
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@@ -770,8 +792,9 @@ mod tests {
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assert_eq!(records.len(), 2);
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assert_eq!(records[0]["Date"], Value::String("03/31/2026".to_string()));
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assert_eq!(records[0]["Amount"], Value::String("-50.00".to_string()));
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assert_eq!(
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records[0]["Amount"],
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typed(&records[0]["Amount"]),
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Value::Number(serde_json::Number::from_f64(-50.00).unwrap())
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);
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assert_eq!(records[0]["Flag"], Value::String("*".to_string()));
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@@ -781,7 +804,7 @@ mod tests {
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Value::String("VENMO PAYMENT 260331".to_string())
|
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);
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assert_eq!(
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records[1]["Amount"],
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typed(&records[1]["Amount"]),
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Value::Number(serde_json::Number::from_f64(-240.00).unwrap())
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);
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}
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@@ -7,8 +7,8 @@ use super::analyzer::{
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DateComponent, FieldKind, FieldProposal, analyze_records, extract_array_at_path,
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extract_date_component, find_array_paths,
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};
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use super::csv_parser::{FILE_CATEGORY, SourceFile};
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use crate::formula::parse_formula;
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use super::csv_parser::{self, CsvRecords, FILE_CATEGORY, SourceFile};
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use crate::formula::{Formula, parse_formula};
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use crate::model::MAX_CATEGORIES;
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use crate::model::cell::{CellKey, CellValue};
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use crate::view::{Axis, VIRTUAL_VIEW_NAMES, View};
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@@ -33,6 +33,42 @@ pub struct ImportPipeline {
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/// The files a CSV merge read, each of which gets its own view. Empty for
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/// a single file or a JSON import (improvise-lpzu).
|
||||
pub sources: Vec<SourceFile>,
|
||||
/// What the records' string values are, fixed by the constructor (8jk6.4).
|
||||
scalars: Scalars,
|
||||
}
|
||||
|
||||
/// How a record's values read. Why CSV is text: `context/code/formula-and-io.md`.
|
||||
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
|
||||
pub enum Scalars {
|
||||
/// JSON: a string is text and a number is a number.
|
||||
Typed,
|
||||
/// CSV: every value is source text, read as a number only where one is wanted.
|
||||
Text,
|
||||
}
|
||||
|
||||
impl Scalars {
|
||||
/// The record as analysis sees it: typed, whatever its source.
|
||||
fn typed_record(self, record: &Value) -> Value {
|
||||
match (self, record) {
|
||||
(Scalars::Text, Value::Object(map)) => Value::Object(
|
||||
map.iter()
|
||||
.map(|(k, v)| (k.clone(), csv_parser::typed(v)))
|
||||
.collect(),
|
||||
),
|
||||
(Scalars::Text, other) | (Scalars::Typed, other) => other.clone(),
|
||||
}
|
||||
}
|
||||
|
||||
/// The value a measure takes from `value`, if it is a number.
|
||||
fn number(self, value: &Value) -> Option<f64> {
|
||||
match self {
|
||||
Scalars::Typed => value.as_f64(),
|
||||
Scalars::Text => value
|
||||
.as_str()
|
||||
.and_then(csv_parser::number_in)
|
||||
.and_then(|n| n.as_f64()),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Several source records that land on one coordinate tuple (improvise-cgqt).
|
||||
@@ -57,7 +93,17 @@ pub enum DuplicatePolicy {
|
||||
}
|
||||
|
||||
impl ImportPipeline {
|
||||
/// A pipeline over a JSON value.
|
||||
pub fn new(raw: Value) -> Self {
|
||||
Self::reading(raw, Scalars::Typed)
|
||||
}
|
||||
|
||||
/// A pipeline over CSV records, whose values are their source text.
|
||||
pub fn from_csv(records: CsvRecords) -> Self {
|
||||
Self::reading(Value::Array(records.into_values()), Scalars::Text)
|
||||
}
|
||||
|
||||
fn reading(raw: Value, scalars: Scalars) -> Self {
|
||||
let array_paths = find_array_paths(&raw);
|
||||
let mut pipeline = Self {
|
||||
raw: raw.clone(),
|
||||
@@ -69,6 +115,7 @@ impl ImportPipeline {
|
||||
formulas: vec![],
|
||||
on_duplicate: DuplicatePolicy::Refuse,
|
||||
sources: vec![],
|
||||
scalars,
|
||||
};
|
||||
|
||||
// Auto-select if root is an array or there is exactly one candidate path.
|
||||
@@ -86,7 +133,46 @@ impl ImportPipeline {
|
||||
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);
|
||||
self.analyze();
|
||||
}
|
||||
}
|
||||
|
||||
/// Propose a kind for every field, reading the records as `scalars` says.
|
||||
pub fn analyze(&mut self) {
|
||||
let typed: Vec<Value> = self
|
||||
.records
|
||||
.iter()
|
||||
.map(|r| self.scalars.typed_record(r))
|
||||
.collect();
|
||||
self.proposals = analyze_records(&typed);
|
||||
}
|
||||
|
||||
/// Why there is nothing to build, when no record is an object to place.
|
||||
pub fn nothing_to_import(&self) -> Option<String> {
|
||||
let total = self.records.len();
|
||||
match (total, self.records.iter().any(Value::is_object)) {
|
||||
(_, true) => None,
|
||||
(0, false) => Some("Nothing to import: the source has no records".into()),
|
||||
(_, false) => Some(format!(
|
||||
"Nothing to import: all {total} records were skipped as not JSON objects"
|
||||
)),
|
||||
}
|
||||
}
|
||||
|
||||
/// The formulas, parsed. Every one that does not parse is named with its
|
||||
/// error, never dropped (improvise-8jk6.5).
|
||||
pub fn parsed_formulas(&self) -> Result<Vec<Formula>> {
|
||||
let mut parsed = vec![];
|
||||
let mut refused: Vec<String> = vec![];
|
||||
for raw in &self.formulas {
|
||||
match import_formula(raw) {
|
||||
Ok(formula) => parsed.push(formula),
|
||||
Err(e) => refused.push(e.to_string()),
|
||||
}
|
||||
}
|
||||
match refused.is_empty() {
|
||||
true => Ok(parsed),
|
||||
false => Err(anyhow!(refused.join("\n"))),
|
||||
}
|
||||
}
|
||||
|
||||
@@ -201,6 +287,7 @@ impl ImportPipeline {
|
||||
measures: accepted(&[FieldKind::Measure]),
|
||||
labels: accepted(&[FieldKind::Label]),
|
||||
date_extractions,
|
||||
scalars: self.scalars,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -211,9 +298,13 @@ impl ImportPipeline {
|
||||
let categories = &plan.categories;
|
||||
let date_extractions = &plan.date_extractions;
|
||||
|
||||
if let Some(why) = self.nothing_to_import() {
|
||||
return Err(anyhow!(why));
|
||||
}
|
||||
if categories.is_empty() {
|
||||
return Err(anyhow!("At least one category must be accepted"));
|
||||
}
|
||||
let formulas = self.parsed_formulas()?;
|
||||
|
||||
let placements: Vec<Placement> = self.records.iter().map(|r| plan.place(r)).collect();
|
||||
let collisions = collisions_among(&placements);
|
||||
@@ -326,13 +417,8 @@ impl ImportPipeline {
|
||||
wb.model.set_cell(cell.key, CellValue::Number(cell.total));
|
||||
}
|
||||
|
||||
// Parse and add formulas
|
||||
// Formulas target the "_Measure" category by default.
|
||||
let formula_cat: String = "_Measure".to_string();
|
||||
for raw in &self.formulas {
|
||||
if let Ok(formula) = parse_formula(raw, &formula_cat) {
|
||||
wb.model.add_formula(formula);
|
||||
}
|
||||
for formula in formulas {
|
||||
wb.model.add_formula(formula);
|
||||
}
|
||||
|
||||
for view in source_views(&wb, &self.sources, &plan) {
|
||||
@@ -410,6 +496,7 @@ struct Plan<'a> {
|
||||
measures: Vec<&'a FieldProposal>,
|
||||
labels: Vec<&'a FieldProposal>,
|
||||
date_extractions: Vec<(&'a str, &'a str, DateComponent, String)>,
|
||||
scalars: Scalars,
|
||||
}
|
||||
|
||||
/// Where one source record lands. Worked out once, for the build and for the
|
||||
@@ -466,7 +553,7 @@ impl Plan<'_> {
|
||||
let measures = self
|
||||
.measures
|
||||
.iter()
|
||||
.filter_map(|m| Some((m.field.clone(), map.get(&m.field)?.as_f64()?)))
|
||||
.filter_map(|m| Some((m.field.clone(), self.scalars.number(map.get(&m.field)?)?)))
|
||||
.collect();
|
||||
Placement::Placed {
|
||||
coords,
|
||||
@@ -582,6 +669,11 @@ fn unparsed_date_warnings(
|
||||
.collect()
|
||||
}
|
||||
|
||||
/// An import formula, targeting `_Measure`, or the error naming it (improvise-8jk6.5).
|
||||
fn import_formula(raw: &str) -> Result<Formula> {
|
||||
parse_formula(raw, "_Measure").map_err(|e| anyhow!("Formula error in '{raw}': {e}"))
|
||||
}
|
||||
|
||||
/// The warning for records that could not be placed in the grid. A record
|
||||
/// missing a category value is placed, so only a non-object is skipped.
|
||||
fn skip_warnings(total: usize, skipped_non_objects: usize) -> Option<String> {
|
||||
@@ -769,7 +861,9 @@ impl ImportWizard {
|
||||
fn validation_error(&self) -> Option<String> {
|
||||
match self.step {
|
||||
WizardStep::ReviewProposals => self
|
||||
.no_category_message()
|
||||
.pipeline
|
||||
.nothing_to_import()
|
||||
.or_else(|| self.no_category_message())
|
||||
.or_else(|| self.category_limit_message()),
|
||||
WizardStep::ConfigureDates => self.category_limit_message(),
|
||||
WizardStep::ResolveDuplicates => match &self.pipeline.on_duplicate {
|
||||
@@ -1064,14 +1158,24 @@ impl ImportWizard {
|
||||
self.formula_buffer.pop();
|
||||
}
|
||||
|
||||
/// Commit the current formula buffer to the pipeline's formula list.
|
||||
/// Commit the current formula buffer to the pipeline's formula list. One
|
||||
/// that does not parse stays in the buffer, with the error (improvise-8jk6.5).
|
||||
pub fn confirm_formula(&mut self) {
|
||||
let text = self.formula_buffer.trim().to_string();
|
||||
if !text.is_empty() {
|
||||
self.pipeline.formulas.push(text);
|
||||
match (text.is_empty(), import_formula(&text)) {
|
||||
(false, Err(e)) => self.message = Some(e.to_string()),
|
||||
(false, Ok(_)) => {
|
||||
self.pipeline.formulas.push(text);
|
||||
self.close_formula_edit();
|
||||
}
|
||||
(true, _) => self.close_formula_edit(),
|
||||
}
|
||||
}
|
||||
|
||||
fn close_formula_edit(&mut self) {
|
||||
self.formula_buffer.clear();
|
||||
self.formula_editing = false;
|
||||
self.message = None;
|
||||
self.cursor = self.pipeline.formulas.len().saturating_sub(1);
|
||||
}
|
||||
|
||||
@@ -2176,7 +2280,7 @@ mod tests {
|
||||
let paths: Vec<&str> = files.iter().map(|(p, _)| *p).collect();
|
||||
let merged = merge_csvs_from(&fs, &paths).unwrap();
|
||||
assert!(merged.warnings.is_empty(), "{:?}", merged.warnings);
|
||||
let mut p = ImportPipeline::new(Value::Array(merged.records));
|
||||
let mut p = ImportPipeline::from_csv(merged.records);
|
||||
p.sources = merged.sources;
|
||||
p
|
||||
}
|
||||
@@ -2193,8 +2297,11 @@ mod tests {
|
||||
),
|
||||
];
|
||||
|
||||
fn code_maat_records() -> Value {
|
||||
Value::Array(merged_pipeline(&CODE_MAAT).records)
|
||||
/// The code-maat merge without its sources, so no per-file views.
|
||||
fn code_maat_without_views() -> ImportPipeline {
|
||||
let mut p = merged_pipeline(&CODE_MAAT);
|
||||
p.sources.clear();
|
||||
p
|
||||
}
|
||||
|
||||
/// Every non-empty cell a view's grid draws, row by row.
|
||||
@@ -2360,7 +2467,7 @@ mod tests {
|
||||
/// 0, "" or a skip. Evidence: `context/test-evidence/formula-and-io.md`.
|
||||
#[test]
|
||||
fn files_with_different_headers_import_as_one_sparse_model() {
|
||||
let p = ImportPipeline::new(code_maat_records());
|
||||
let p = code_maat_without_views();
|
||||
let kinds: Vec<(&str, FieldKind)> = p
|
||||
.proposals
|
||||
.iter()
|
||||
@@ -2402,7 +2509,7 @@ mod tests {
|
||||
/// "". Evidence: `context/test-evidence/formula-and-io.md`.
|
||||
#[test]
|
||||
fn a_label_column_a_record_lacks_is_no_coordinate_not_an_empty_item() {
|
||||
let mut p = ImportPipeline::new(code_maat_records());
|
||||
let mut p = code_maat_without_views();
|
||||
p.proposals
|
||||
.iter_mut()
|
||||
.find(|f| f.field == "coupled")
|
||||
@@ -3005,4 +3112,98 @@ mod tests {
|
||||
w.message
|
||||
);
|
||||
}
|
||||
|
||||
/// improvise-8jk6.5. Evidence: `context/test-evidence/formula-and-io.md`.
|
||||
#[test]
|
||||
fn a_formula_that_does_not_parse_stops_the_build_and_is_named() {
|
||||
let mut p = ImportPipeline::new(json!([{"region": "East", "revenue": 1.0}]));
|
||||
p.formulas = vec![
|
||||
"Good = revenue".into(),
|
||||
"Bad = revenue +".into(),
|
||||
"Worse = * 2".into(),
|
||||
];
|
||||
let err = p.build_model().expect_err("an unparseable formula refuses");
|
||||
let msg = err.to_string();
|
||||
assert!(msg.contains("Formula error in 'Bad = revenue +'"), "{msg}");
|
||||
assert!(msg.contains("Formula error in 'Worse = * 2'"), "{msg}");
|
||||
assert!(!msg.contains("Good"), "{msg}");
|
||||
}
|
||||
|
||||
/// improvise-8jk6.5: the wizard refuses where the text can still be
|
||||
/// fixed. Evidence: `context/test-evidence/formula-and-io.md`.
|
||||
#[test]
|
||||
fn confirming_a_formula_that_does_not_parse_keeps_it_out_and_the_text_in() {
|
||||
let mut w = sample_wizard();
|
||||
w.start_formula_edit();
|
||||
for c in "Bad = revenue +".chars() {
|
||||
w.push_formula_char(c);
|
||||
}
|
||||
w.confirm_formula();
|
||||
assert!(w.pipeline.formulas.is_empty(), "{:?}", w.pipeline.formulas);
|
||||
assert_eq!(w.formula_buffer, "Bad = revenue +");
|
||||
assert!(w.formula_editing);
|
||||
let message = w.message.clone().unwrap_or_default();
|
||||
assert!(
|
||||
message.starts_with("Formula error in 'Bad = revenue +'"),
|
||||
"{message}"
|
||||
);
|
||||
}
|
||||
|
||||
/// improvise-8jk6.4: the role reads the text. Evidence:
|
||||
/// `context/test-evidence/formula-and-io.md`.
|
||||
#[test]
|
||||
fn a_csv_column_read_as_a_category_keeps_its_text_and_as_a_measure_its_number() {
|
||||
use crate::import::csv_parser::parse_csv_bytes_with_warnings;
|
||||
use crate::model::cell::{CellKey, CellValue};
|
||||
let csv = b"commit,lines\n00565796,3\n220944e2,5\n";
|
||||
let (records, _) = parse_csv_bytes_with_warnings(csv).unwrap();
|
||||
let mut p = ImportPipeline::from_csv(records);
|
||||
let kind = |p: &ImportPipeline, f: &str| {
|
||||
p.proposals
|
||||
.iter()
|
||||
.find(|x| x.field == f)
|
||||
.unwrap()
|
||||
.kind
|
||||
.clone()
|
||||
};
|
||||
assert_eq!(kind(&p, "commit"), FieldKind::Measure, "analysis types");
|
||||
let commit = p.proposals.iter_mut().find(|x| x.field == "commit");
|
||||
commit.unwrap().kind = FieldKind::Category;
|
||||
let wb = p.build_model().unwrap();
|
||||
let items: Vec<&String> = wb.model.category("commit").unwrap().items.keys().collect();
|
||||
assert_eq!(items, ["00565796", "220944e2"]);
|
||||
let key = CellKey::new(vec![
|
||||
("_Measure".into(), "lines".into()),
|
||||
("commit".into(), "220944e2".into()),
|
||||
]);
|
||||
assert_eq!(wb.model.get_cell(&key), Some(&CellValue::Number(5.0)));
|
||||
}
|
||||
|
||||
/// improvise-8jk6.6: the wizard asks on the review step, where another
|
||||
/// path can still be chosen. Evidence: the test-evidence doc.
|
||||
#[test]
|
||||
fn the_review_step_says_when_no_record_can_be_imported() {
|
||||
let mut w = ImportWizard::new(json!([1, 2]));
|
||||
assert_eq!(w.step, WizardStep::ReviewProposals, "setup");
|
||||
w.advance();
|
||||
assert_eq!(w.step, WizardStep::ReviewProposals);
|
||||
assert_eq!(
|
||||
w.message.as_deref(),
|
||||
Some("Nothing to import: all 2 records were skipped as not JSON objects")
|
||||
);
|
||||
}
|
||||
|
||||
/// improvise-8jk6.6. Evidence: `context/test-evidence/formula-and-io.md`.
|
||||
#[test]
|
||||
fn a_build_that_keeps_no_record_refuses_and_says_why() {
|
||||
let skipped = ImportPipeline::new(json!([1, "two", null]));
|
||||
let msg = skipped.build_model().expect_err("refuses").to_string();
|
||||
assert_eq!(
|
||||
msg,
|
||||
"Nothing to import: all 3 records were skipped as not JSON objects"
|
||||
);
|
||||
let empty = ImportPipeline::new(json!([]));
|
||||
let msg = empty.build_model().expect_err("refuses").to_string();
|
||||
assert_eq!(msg, "Nothing to import: the source has no records");
|
||||
}
|
||||
}
|
||||
|
||||
@@ -842,7 +842,7 @@ fn a_csv_header_with_an_embedded_newline_survives_a_save() {
|
||||
let csv = "\"Region\nName\",Amount\nEast,1\nWest,2\n";
|
||||
let (records, _) =
|
||||
crate::import::csv_parser::parse_csv_bytes_with_warnings(csv.as_bytes()).unwrap();
|
||||
let wb = crate::import::wizard::ImportPipeline::new(serde_json::Value::Array(records))
|
||||
let wb = crate::import::wizard::ImportPipeline::from_csv(records)
|
||||
.build_model()
|
||||
.unwrap();
|
||||
assert!(
|
||||
|
||||
+2
-2
@@ -360,7 +360,7 @@ fn get_import_data(args: &[PathBuf]) -> Option<ImportPipeline> {
|
||||
for warning in &merged.warnings {
|
||||
eprintln!("warning: {warning}");
|
||||
}
|
||||
let mut pipeline = ImportPipeline::new(Value::Array(merged.records));
|
||||
let mut pipeline = ImportPipeline::from_csv(merged.records);
|
||||
pipeline.sources = merged.sources;
|
||||
Some(pipeline)
|
||||
}
|
||||
@@ -379,7 +379,7 @@ fn get_import_data(args: &[PathBuf]) -> Option<ImportPipeline> {
|
||||
Ok(content) => {
|
||||
if csv_path_p(path) {
|
||||
match crate::import::csv_parser::parse_csv(path) {
|
||||
Ok(records) => Some(ImportPipeline::new(Value::Array(records))),
|
||||
Ok(records) => Some(ImportPipeline::from_csv(records)),
|
||||
Err(e) => {
|
||||
eprintln!("CSV parse error: {e}");
|
||||
None
|
||||
|
||||
@@ -63,8 +63,8 @@ fn duplicate_csv_headers_not_silent() {
|
||||
2,
|
||||
"both columns must survive as separate fields: {fields:?}"
|
||||
);
|
||||
assert_eq!(fields["A"].as_f64(), Some(1.0), "{fields:?}");
|
||||
assert_eq!(fields["A_2"].as_f64(), Some(2.0), "{fields:?}");
|
||||
assert_eq!(fields["A"], "1", "{fields:?}");
|
||||
assert_eq!(fields["A_2"], "2", "{fields:?}");
|
||||
assert!(
|
||||
warnings
|
||||
.iter()
|
||||
@@ -77,7 +77,7 @@ fn duplicate_csv_headers_not_silent() {
|
||||
fn blank_measure_still_infers_numeric() {
|
||||
use improvise_io::import::{analyzer::FieldKind, wizard::ImportPipeline};
|
||||
let (records, _) = parse_csv_bytes_with_warnings(b"Region,Revenue\nEast,10\nWest,\n").unwrap();
|
||||
let p = ImportPipeline::new(serde_json::Value::Array(records));
|
||||
let p = ImportPipeline::from_csv(records);
|
||||
let proposal = p.proposals.iter().find(|p| p.field == "Revenue").unwrap();
|
||||
assert_eq!(proposal.kind, FieldKind::Measure);
|
||||
}
|
||||
@@ -86,7 +86,7 @@ fn repeated_import_coordinates_not_silently_overwritten() {
|
||||
use improvise_io::import::wizard::ImportPipeline;
|
||||
let (records, _) =
|
||||
parse_csv_bytes_with_warnings(b"Region,Revenue\nEast,10\nEast,20\n").unwrap();
|
||||
let mut pipeline = ImportPipeline::new(serde_json::Value::Array(records));
|
||||
let mut pipeline = ImportPipeline::from_csv(records);
|
||||
pipeline.on_duplicate = improvise_io::import::wizard::DuplicatePolicy::Sum;
|
||||
let (wb, warnings) = pipeline.build_model_with_warnings().unwrap();
|
||||
let values: Vec<f64> = wb
|
||||
@@ -399,7 +399,7 @@ fn ordinary_controls() {
|
||||
let (records, warnings) =
|
||||
parse_csv_bytes_with_warnings(b"Region,Revenue\nEast,10\nWest,20\n").unwrap();
|
||||
assert!(warnings.is_empty());
|
||||
let p = ImportPipeline::new(serde_json::Value::Array(records));
|
||||
let p = ImportPipeline::from_csv(records);
|
||||
assert_eq!(
|
||||
p.proposals
|
||||
.iter()
|
||||
|
||||
@@ -25,7 +25,7 @@ fn reloaded_folder_import() -> App {
|
||||
.unwrap();
|
||||
}
|
||||
let merged = merge_csvs_from(&fs, &files.map(|(p, _)| p)).unwrap();
|
||||
let mut pipeline = ImportPipeline::new(serde_json::Value::Array(merged.records));
|
||||
let mut pipeline = ImportPipeline::from_csv(merged.records);
|
||||
pipeline.sources = merged.sources;
|
||||
let (wb, _) = pipeline.build_model_with_warnings().unwrap();
|
||||
App::new(parse_md(&format_md(&wb)).unwrap(), None)
|
||||
|
||||
@@ -708,3 +708,117 @@ fn a_headless_import_takes_files_and_folders_together_and_refuses_an_empty_folde
|
||||
);
|
||||
assert!(!scratch.path("never.improv").exists());
|
||||
}
|
||||
|
||||
/// Runs `import <source> --no-wizard <extra> -o out.improv` on a source it writes.
|
||||
fn import_of(scratch: &Scratch, name: &str, body: &str, extra: &[&str]) -> (Output, PathBuf) {
|
||||
let source = scratch.path(name);
|
||||
std::fs::write(&source, body).unwrap();
|
||||
let out_path = scratch.path("out.improv");
|
||||
(run_import(&source, &out_path, extra), out_path)
|
||||
}
|
||||
|
||||
/// improvise-8jk6.4: a forced category's values are item names, so they keep
|
||||
/// their source text. Evidence: `context/test-evidence/cli.md`.
|
||||
#[test]
|
||||
fn a_csv_column_forced_to_category_keeps_its_text_verbatim() {
|
||||
let scratch = Scratch::new("forced_category_text");
|
||||
let (out, out_path) = import_of(
|
||||
&scratch,
|
||||
"commits.csv",
|
||||
"commit,lines\n00565796,3\n220944e2,5\n",
|
||||
&["--category", "commit", "--measure", "lines"],
|
||||
);
|
||||
assert!(out.status.success(), "{}", stderr_of(&out));
|
||||
let doc = std::fs::read_to_string(&out_path).unwrap();
|
||||
assert!(
|
||||
doc.lines().any(|l| l == "- |00565796|, |220944e2|"),
|
||||
"the items are the source text:\n{doc}"
|
||||
);
|
||||
for line in [
|
||||
"_Measure=lines, commit=|00565796| = 3",
|
||||
"_Measure=lines, commit=|220944e2| = 5",
|
||||
] {
|
||||
assert!(doc.lines().any(|l| l == line), "{line} missing from\n{doc}");
|
||||
}
|
||||
}
|
||||
|
||||
/// improvise-8jk6.4: JSON has no source text for a number, so a forced
|
||||
/// category names it as serde_json writes it. Evidence file.
|
||||
#[test]
|
||||
fn a_json_number_forced_to_category_is_named_as_json_writes_it() {
|
||||
let scratch = Scratch::new("forced_category_json");
|
||||
let (out, out_path) = import_of(
|
||||
&scratch,
|
||||
"commits.json",
|
||||
r#"[{"commit": 42, "n": 1}, {"commit": 1.5, "n": 2}, {"commit": 1e3, "n": 3}]"#,
|
||||
&["--category", "commit", "--measure", "n"],
|
||||
);
|
||||
assert!(out.status.success(), "{}", stderr_of(&out));
|
||||
let doc = std::fs::read_to_string(&out_path).unwrap();
|
||||
assert!(
|
||||
doc.lines().any(|l| l == "- |42|, |1.5|, |1000.0|"),
|
||||
"the items are the numbers' JSON text:\n{doc}"
|
||||
);
|
||||
}
|
||||
|
||||
/// improvise-8jk6.5: a formula the user named and that does not parse is a
|
||||
/// refusal, not a silent drop. Evidence: `context/test-evidence/cli.md`.
|
||||
#[test]
|
||||
fn an_import_formula_that_does_not_parse_refuses_names_it_and_writes_nothing() {
|
||||
let scratch = Scratch::new("bad_formula");
|
||||
let (out, out_path) = import_of(
|
||||
&scratch,
|
||||
"f.csv",
|
||||
"a,x\nk,1\n",
|
||||
&[
|
||||
"--measure",
|
||||
"x",
|
||||
"--formula",
|
||||
"Y = x +",
|
||||
"--formula",
|
||||
"Z = x",
|
||||
],
|
||||
);
|
||||
let err = stderr_of(&out);
|
||||
assert!(!out.status.success(), "a dropped formula exited 0: {err}");
|
||||
assert!(err.contains("'Y = x +'"), "names the formula: {err}");
|
||||
assert!(err.contains("expected"), "carries the parse error: {err}");
|
||||
assert!(!err.contains("'Z = x'"), "names only the bad one: {err}");
|
||||
assert!(!out_path.exists(), "nothing is written");
|
||||
}
|
||||
|
||||
/// improvise-8jk6.6: an import that kept no record says why, and exits
|
||||
/// non-zero writing nothing. Evidence: `context/test-evidence/cli.md`.
|
||||
#[test]
|
||||
fn an_import_that_keeps_no_record_refuses_and_says_why() {
|
||||
let scratch = Scratch::new("kept_none");
|
||||
let (out, out_path) = import_of(&scratch, "r.json", r#"[1, 2, "three"]"#, &[]);
|
||||
let err = stderr_of(&out);
|
||||
assert!(!out.status.success(), "{err}");
|
||||
assert!(
|
||||
err.contains("all 3 records were skipped as not JSON objects"),
|
||||
"says why: {err}"
|
||||
);
|
||||
assert!(!out_path.exists(), "nothing is written");
|
||||
}
|
||||
|
||||
/// improvise-8jk6.6: a partial skip warns with a count and exits 0, a choice
|
||||
/// put to the user. Evidence: `context/test-evidence/cli.md`.
|
||||
#[test]
|
||||
fn an_import_that_skips_some_records_warns_with_a_count_and_still_writes() {
|
||||
let scratch = Scratch::new("kept_some");
|
||||
let (out, out_path) = import_of(
|
||||
&scratch,
|
||||
"p.json",
|
||||
r#"[{"a": "k", "x": 1}, 2, {"a": "m", "x": 4}]"#,
|
||||
&[],
|
||||
);
|
||||
let err = stderr_of(&out);
|
||||
assert!(out.status.success(), "{err}");
|
||||
assert!(
|
||||
err.contains("warning: Skipped 1 of 3 records that were not JSON objects"),
|
||||
"{err}"
|
||||
);
|
||||
let doc = std::fs::read_to_string(&out_path).unwrap();
|
||||
assert!(doc.contains("_Measure=x, a=m = 4"), "{doc}");
|
||||
}
|
||||
|
||||
@@ -18,7 +18,7 @@ fn imported_model_shows_one_row_per_record_with_measure_columns() {
|
||||
.expect("write csv");
|
||||
|
||||
let records = improvise::import::csv_parser::parse_csv(&csv).expect("csv parses");
|
||||
let pipeline = ImportPipeline::new(serde_json::Value::Array(records));
|
||||
let pipeline = ImportPipeline::from_csv(records);
|
||||
let workbook = pipeline.build_model().expect("model builds");
|
||||
|
||||
let saved = dir.path().join("w.improv");
|
||||
|
||||
Reference in New Issue
Block a user