1use std::io::Read;
2#[cfg(target_os = "emscripten")]
3use std::io::{Seek, SeekFrom};
4use std::sync::LazyLock;
5
6use polars_core::prelude::*;
7use polars_utils::mmap::{MMapSemaphore, MemSlice};
8use regex::{Regex, RegexBuilder};
9
10use crate::mmap::{MmapBytesReader, ReaderBytes};
11
12pub fn get_reader_bytes<R: Read + MmapBytesReader + ?Sized>(
13 reader: &mut R,
14) -> PolarsResult<ReaderBytes<'_>> {
15 if let Some((file, offset)) = reader
18 .stream_position()
19 .ok()
20 .and_then(|offset| Some((reader.to_file()?, offset)))
21 {
22 let mut options = memmap::MmapOptions::new();
23 options.offset(offset);
24
25 #[cfg(target_os = "emscripten")]
27 {
28 let mut file = file;
29 let size = file.seek(SeekFrom::End(0)).unwrap();
30 options.len((size - offset) as usize);
31 }
32
33 let mmap = MMapSemaphore::new_from_file_with_options(file, options)?;
34 Ok(ReaderBytes::Owned(MemSlice::from_mmap(Arc::new(mmap))))
35 } else {
36 if reader.to_bytes().is_some() {
38 Ok(ReaderBytes::Borrowed((*reader).to_bytes().unwrap()))
40 } else {
41 let mut bytes = Vec::with_capacity(1024 * 128);
43 reader.read_to_end(&mut bytes)?;
44 Ok(ReaderBytes::Owned(bytes.into()))
45 }
46 }
47}
48
49#[cfg(any(
50 feature = "ipc",
51 feature = "ipc_streaming",
52 feature = "parquet",
53 feature = "avro"
54))]
55pub fn apply_projection(schema: &ArrowSchema, projection: &[usize]) -> ArrowSchema {
56 projection
57 .iter()
58 .map(|idx| schema.get_at_index(*idx).unwrap())
59 .map(|(k, v)| (k.clone(), v.clone()))
60 .collect()
61}
62
63#[cfg(any(
64 feature = "ipc",
65 feature = "ipc_streaming",
66 feature = "avro",
67 feature = "parquet"
68))]
69pub fn columns_to_projection<T: AsRef<str>>(
70 columns: &[T],
71 schema: &ArrowSchema,
72) -> PolarsResult<Vec<usize>> {
73 let mut prj = Vec::with_capacity(columns.len());
74
75 for column in columns {
76 let i = schema.try_index_of(column.as_ref())?;
77 prj.push(i);
78 }
79
80 Ok(prj)
81}
82
83#[cfg(debug_assertions)]
84fn check_offsets(dfs: &[DataFrame]) {
85 dfs.windows(2).for_each(|s| {
86 let a = &s[0].get_columns()[0];
87 let b = &s[1].get_columns()[0];
88
89 let prev = a.get(a.len() - 1).unwrap().extract::<usize>().unwrap();
90 let next = b.get(0).unwrap().extract::<usize>().unwrap();
91 assert_eq!(prev + 1, next);
92 })
93}
94
95#[cfg(any(feature = "csv", feature = "json"))]
98pub(crate) fn update_row_counts2(dfs: &mut [DataFrame], offset: IdxSize) {
99 if !dfs.is_empty() {
100 let mut previous = offset;
101 for df in &mut *dfs {
102 if df.is_empty() {
103 continue;
104 }
105 let n_read = df.height() as IdxSize;
106 if let Some(s) = unsafe { df.get_columns_mut() }.get_mut(0) {
107 if let Ok(v) = s.get(0) {
108 if v.extract::<usize>().unwrap() != previous as usize {
109 *s = &*s + previous;
110 }
111 }
112 }
113 previous += n_read;
114 }
115 }
116 #[cfg(debug_assertions)]
117 {
118 check_offsets(dfs)
119 }
120}
121
122#[cfg(feature = "json")]
125pub(crate) fn update_row_counts3(dfs: &mut [DataFrame], heights: &[IdxSize], offset: IdxSize) {
126 assert_eq!(dfs.len(), heights.len());
127 if !dfs.is_empty() {
128 let mut previous = offset;
129 for i in 0..dfs.len() {
130 let df = &mut dfs[i];
131 if df.is_empty() {
132 continue;
133 }
134
135 if let Some(s) = unsafe { df.get_columns_mut() }.get_mut(0) {
136 if let Ok(v) = s.get(0) {
137 if v.extract::<usize>().unwrap() != previous as usize {
138 *s = &*s + previous;
139 }
140 }
141 }
142 let n_read = heights[i];
143 previous += n_read;
144 }
145 }
146}
147
148#[cfg(feature = "json")]
149pub fn overwrite_schema(schema: &mut Schema, overwriting_schema: &Schema) -> PolarsResult<()> {
150 for (k, value) in overwriting_schema.iter() {
151 *schema.try_get_mut(k)? = value.clone();
152 }
153 Ok(())
154}
155
156pub static FLOAT_RE: LazyLock<Regex> = LazyLock::new(|| {
157 Regex::new(r"^[-+]?((\d*\.\d+)([eE][-+]?\d+)?|inf|NaN|(\d+)[eE][-+]?\d+|\d+\.)$").unwrap()
158});
159
160pub static FLOAT_RE_DECIMAL: LazyLock<Regex> = LazyLock::new(|| {
161 Regex::new(r"^[-+]?((\d*,\d+)([eE][-+]?\d+)?|inf|NaN|(\d+)[eE][-+]?\d+|\d+,)$").unwrap()
162});
163
164pub static INTEGER_RE: LazyLock<Regex> = LazyLock::new(|| Regex::new(r"^-?(\d+)$").unwrap());
165
166pub static BOOLEAN_RE: LazyLock<Regex> = LazyLock::new(|| {
167 RegexBuilder::new(r"^(true|false)$")
168 .case_insensitive(true)
169 .build()
170 .unwrap()
171});
172
173pub fn materialize_projection(
174 with_columns: Option<&[PlSmallStr]>,
175 schema: &Schema,
176 hive_partitions: Option<&[Series]>,
177 has_row_index: bool,
178) -> Option<Vec<usize>> {
179 match hive_partitions {
180 None => with_columns.map(|with_columns| {
181 with_columns
182 .iter()
183 .map(|name| schema.index_of(name).unwrap() - has_row_index as usize)
184 .collect()
185 }),
186 Some(part_cols) => {
187 with_columns.map(|with_columns| {
188 with_columns
189 .iter()
190 .flat_map(|name| {
191 if part_cols.iter().any(|s| s.name() == name.as_str()) {
194 None
195 } else {
196 Some(schema.index_of(name).unwrap() - has_row_index as usize)
197 }
198 })
199 .collect()
200 })
201 },
202 }
203}
204
205#[cfg(feature = "cloud")]
208pub fn decode_json_response<T>(bytes: &[u8]) -> PolarsResult<T>
209where
210 T: for<'de> serde::de::Deserialize<'de>,
211{
212 use polars_error::to_compute_err;
213 use polars_utils::error::TruncateErrorDetail;
214
215 serde_json::from_slice(bytes)
216 .map_err(to_compute_err)
217 .map_err(|e| {
218 e.wrap_msg(|e| {
219 format!(
220 "error decoding response: {}, response value: {}",
221 e,
222 TruncateErrorDetail(&String::from_utf8_lossy(bytes))
223 )
224 })
225 })
226}
227
228#[cfg(test)]
229mod tests {
230 use super::FLOAT_RE;
231
232 #[test]
233 fn test_float_parse() {
234 assert!(FLOAT_RE.is_match("0.1"));
235 assert!(FLOAT_RE.is_match("3.0"));
236 assert!(FLOAT_RE.is_match("3.00001"));
237 assert!(FLOAT_RE.is_match("-9.9990e-003"));
238 assert!(FLOAT_RE.is_match("9.9990e+003"));
239 assert!(FLOAT_RE.is_match("9.9990E+003"));
240 assert!(FLOAT_RE.is_match("9.9990E+003"));
241 assert!(FLOAT_RE.is_match(".5"));
242 assert!(FLOAT_RE.is_match("2.5E-10"));
243 assert!(FLOAT_RE.is_match("2.5e10"));
244 assert!(FLOAT_RE.is_match("NaN"));
245 assert!(FLOAT_RE.is_match("-NaN"));
246 assert!(FLOAT_RE.is_match("-inf"));
247 assert!(FLOAT_RE.is_match("inf"));
248 assert!(FLOAT_RE.is_match("-7e-05"));
249 assert!(FLOAT_RE.is_match("7e-05"));
250 assert!(FLOAT_RE.is_match("+7e+05"));
251 }
252}