1mod cast;
2mod mismatch;
3mod not_null;
4mod unique;
5
6use polars::prelude::{BooleanChunked, DataFrame, NamedFrom, NewChunkedArray, Series};
7use std::collections::HashMap;
8
9use crate::{ConfigError, FloeResult};
10
11pub use cast::{cast_mismatch_counts, cast_mismatch_errors};
12pub use mismatch::{
13 apply_mismatch_plan, apply_schema_mismatch, plan_schema_mismatch, MismatchOutcome,
14};
15pub use not_null::{not_null_counts, not_null_errors};
16pub use unique::{unique_counts, unique_errors, UniqueTracker};
17
18pub type ColumnIndex = HashMap<String, usize>;
19
20pub fn column_index_map(df: &DataFrame) -> ColumnIndex {
21 df.get_column_names()
22 .iter()
23 .enumerate()
24 .map(|(idx, name)| (name.to_string(), idx))
25 .collect()
26}
27
28#[derive(Debug, Clone, PartialEq, Eq)]
29pub struct RowError {
30 pub rule: String,
31 pub column: String,
32 pub message: String,
33}
34
35impl RowError {
36 pub fn new(rule: &str, column: &str, message: &str) -> Self {
37 Self {
38 rule: rule.to_string(),
39 column: column.to_string(),
40 message: message.to_string(),
41 }
42 }
43
44 pub fn to_json(&self) -> String {
45 format!(
46 "{{\"rule\":\"{}\",\"column\":\"{}\",\"message\":\"{}\"}}",
47 json_escape(&self.rule),
48 json_escape(&self.column),
49 json_escape(&self.message)
50 )
51 }
52}
53
54pub trait RowErrorFormatter {
55 fn format(&self, errors: &[RowError]) -> String;
56}
57
58pub struct JsonRowErrorFormatter;
59pub struct CsvRowErrorFormatter;
60pub struct TextRowErrorFormatter;
61
62impl RowErrorFormatter for JsonRowErrorFormatter {
63 fn format(&self, errors: &[RowError]) -> String {
64 let json_items = errors
65 .iter()
66 .map(RowError::to_json)
67 .collect::<Vec<_>>()
68 .join(",");
69 format!("[{}]", json_items)
70 }
71}
72
73impl RowErrorFormatter for CsvRowErrorFormatter {
74 fn format(&self, errors: &[RowError]) -> String {
75 let lines = errors
76 .iter()
77 .map(|error| {
78 format!(
79 "{},{},{}",
80 csv_escape(&error.rule),
81 csv_escape(&error.column),
82 csv_escape(&error.message)
83 )
84 })
85 .collect::<Vec<_>>()
86 .join("\n");
87 json_string(&lines)
88 }
89}
90
91impl RowErrorFormatter for TextRowErrorFormatter {
92 fn format(&self, errors: &[RowError]) -> String {
93 let text = errors
94 .iter()
95 .map(|error| format!("{}:{} {}", error.rule, error.column, error.message))
96 .collect::<Vec<_>>()
97 .join("; ");
98 json_string(&text)
99 }
100}
101
102pub fn row_error_formatter(name: &str) -> FloeResult<Box<dyn RowErrorFormatter>> {
103 match name {
104 "json" => Ok(Box::new(JsonRowErrorFormatter)),
105 "csv" => Ok(Box::new(CsvRowErrorFormatter)),
106 "text" => Ok(Box::new(TextRowErrorFormatter)),
107 other => Err(Box::new(ConfigError(format!(
108 "unsupported report.formatter: {other}"
109 )))),
110 }
111}
112
113pub fn build_accept_rows(errors_per_row: &[Vec<RowError>]) -> Vec<bool> {
114 let mut accept_rows = Vec::with_capacity(errors_per_row.len());
115 for errors in errors_per_row {
116 accept_rows.push(errors.is_empty());
117 }
118 accept_rows
119}
120
121pub fn build_errors_json(
122 errors_per_row: &[Vec<RowError>],
123 accept_rows: &[bool],
124) -> Vec<Option<String>> {
125 build_errors_formatted(errors_per_row, accept_rows, &JsonRowErrorFormatter)
126}
127
128pub fn build_errors_formatted(
129 errors_per_row: &[Vec<RowError>],
130 accept_rows: &[bool],
131 formatter: &dyn RowErrorFormatter,
132) -> Vec<Option<String>> {
133 let mut errors_out = Vec::with_capacity(errors_per_row.len());
134 for (errors, accepted) in errors_per_row.iter().zip(accept_rows.iter()) {
135 if *accepted {
136 errors_out.push(None);
137 continue;
138 }
139 errors_out.push(Some(formatter.format(errors)));
140 }
141 errors_out
142}
143
144pub fn build_row_masks(accept_rows: &[bool]) -> (BooleanChunked, BooleanChunked) {
145 let reject_rows: Vec<bool> = accept_rows.iter().map(|accepted| !*accepted).collect();
146 let accept_mask = BooleanChunked::from_slice("floe_accept".into(), accept_rows);
147 let reject_mask = BooleanChunked::from_slice("floe_reject".into(), &reject_rows);
148 (accept_mask, reject_mask)
149}
150
151pub fn rejected_error_columns(
152 errors_per_row: &[Option<String>],
153 include_all_rows: bool,
154) -> (Series, Series) {
155 if include_all_rows {
156 let mut row_index = Vec::with_capacity(errors_per_row.len());
157 let mut errors = Vec::with_capacity(errors_per_row.len());
158 for (idx, err) in errors_per_row.iter().enumerate() {
159 row_index.push(idx as u64);
160 errors.push(err.clone().unwrap_or_else(|| "[]".to_string()));
161 }
162 (
163 Series::new("__floe_row_index".into(), row_index),
164 Series::new("__floe_errors".into(), errors),
165 )
166 } else {
167 let mut row_index = Vec::new();
168 let mut errors = Vec::new();
169 for (idx, err) in errors_per_row.iter().enumerate() {
170 if let Some(err) = err {
171 row_index.push(idx as u64);
172 errors.push(err.clone());
173 }
174 }
175 (
176 Series::new("__floe_row_index".into(), row_index),
177 Series::new("__floe_errors".into(), errors),
178 )
179 }
180}
181
182fn json_escape(value: &str) -> String {
183 value
184 .replace('\\', "\\\\")
185 .replace('\"', "\\\"")
186 .replace('\n', "\\n")
187 .replace('\r', "\\r")
188 .replace('\t', "\\t")
189}
190
191fn json_string(value: &str) -> String {
192 format!("\"{}\"", json_escape(value))
193}
194
195fn csv_escape(value: &str) -> String {
196 let escaped = value.replace('"', "\"\"");
197 if escaped.contains(',') || escaped.contains('\n') || escaped.contains('\r') {
198 format!("\"{}\"", escaped)
199 } else {
200 escaped
201 }
202}