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| use crate::cd::{encoding_languages, mb_encoding_languages}; | |
| use crate::consts::{IANA_SUPPORTED_ALIASES, TOO_BIG_SEQUENCE}; | |
| use crate::utils::{decode, iana_name, is_multi_byte_encoding, range_scan}; | |
| use clap::Parser; | |
| use encoding::DecoderTrap; | |
| use ordered_float::OrderedFloat; | |
| use serde::Serialize; | |
| use std::cmp::Ordering; | |
| use std::fmt; | |
| use std::fmt::{Debug, Display, Formatter}; | |
| use std::hash::Hash; | |
| use std::ops::Index; | |
| use std::path::PathBuf; | |
| use std::time::Duration; | |
| ///////////////////////////////////////////////////////////////////////////////////// | |
| // Languages | |
| ///////////////////////////////////////////////////////////////////////////////////// | |
| pub enum Language { | |
| English, | |
| German, | |
| French, | |
| Dutch, | |
| Italian, | |
| Polish, | |
| Spanish, | |
| Russian, | |
| Japanese, | |
| Portuguese, | |
| Swedish, | |
| Chinese, | |
| Ukrainian, | |
| Norwegian, | |
| Finnish, | |
| Vietnamese, | |
| Czech, | |
| Hungarian, | |
| Korean, | |
| Indonesian, | |
| Turkish, | |
| Romanian, | |
| Farsi, | |
| Arabic, | |
| Danish, | |
| Serbian, | |
| Lithuanian, | |
| Slovene, | |
| Slovak, | |
| Hebrew, | |
| Bulgarian, | |
| Croatian, | |
| Hindi, | |
| Estonian, | |
| Thai, | |
| Greek, | |
| Tamil, | |
| Kazakh, | |
| Unknown, | |
| } | |
| impl Display for Language { | |
| fn fmt(&self, f: &mut Formatter) -> fmt::Result { | |
| write!(f, "{:?}", self) | |
| } | |
| } | |
| ///////////////////////////////////////////////////////////////////////////////////// | |
| // CoherenceMatch & CoherenceMatches | |
| ///////////////////////////////////////////////////////////////////////////////////// | |
| pub struct CoherenceMatch { | |
| pub language: &'static Language, | |
| pub score: f32, | |
| } | |
| pub type CoherenceMatches = Vec<CoherenceMatch>; | |
| ///////////////////////////////////////////////////////////////////////////////////// | |
| // CharsetMatch | |
| ///////////////////////////////////////////////////////////////////////////////////// | |
| pub struct CharsetMatch { | |
| payload: Vec<u8>, | |
| encoding: String, | |
| mean_mess_ratio: f32, | |
| coherence_matches: CoherenceMatches, | |
| has_sig_or_bom: bool, | |
| submatch: Vec<CharsetMatch>, | |
| decoded_payload: Option<String>, | |
| } | |
| impl Display for CharsetMatch { | |
| fn fmt(&self, f: &mut Formatter<'_>) -> fmt::Result { | |
| write!(f, "{:?} ({})", self.payload, self.encoding) | |
| } | |
| } | |
| impl Debug for CharsetMatch { | |
| fn fmt(&self, f: &mut Formatter<'_>) -> fmt::Result { | |
| write!(f, "{:?} ({})", self.payload, self.encoding) | |
| } | |
| } | |
| impl Default for CharsetMatch { | |
| fn default() -> Self { | |
| CharsetMatch { | |
| payload: vec![], | |
| encoding: "utf-8".to_string(), | |
| mean_mess_ratio: 0.0, | |
| coherence_matches: vec![], | |
| has_sig_or_bom: false, | |
| submatch: vec![], | |
| decoded_payload: None, | |
| } | |
| } | |
| } | |
| impl PartialEq<Self> for CharsetMatch { | |
| fn eq(&self, other: &Self) -> bool { | |
| self.encoding == other.encoding && self.decoded_payload == other.decoded_payload | |
| } | |
| } | |
| impl PartialOrd<Self> for CharsetMatch { | |
| fn partial_cmp(&self, other: &Self) -> Option<Ordering> { | |
| let mess_difference = (self.mean_mess_ratio - other.mean_mess_ratio).abs(); | |
| let coherence_a = self.coherence(); | |
| let coherence_b = other.coherence(); | |
| let coherence_difference = (coherence_a - coherence_b).abs(); | |
| // Below 1% difference --> Use Coherence | |
| if mess_difference < 0.01 { | |
| if coherence_difference > 0.02 { | |
| return coherence_b.partial_cmp(&coherence_a); | |
| } | |
| let multibyte_usage_a = self.multi_byte_usage(); | |
| let multibyte_usage_b = other.multi_byte_usage(); | |
| let multibyte_usage_delta = (multibyte_usage_a - multibyte_usage_b).abs(); | |
| if multibyte_usage_delta > f32::EPSILON { | |
| return multibyte_usage_b.partial_cmp(&multibyte_usage_a); | |
| } | |
| } | |
| self.mean_mess_ratio.partial_cmp(&other.mean_mess_ratio) | |
| } | |
| } | |
| impl CharsetMatch { | |
| // Init function | |
| pub fn new( | |
| payload: &[u8], | |
| encoding: &str, | |
| mean_mess_ratio: f32, | |
| has_sig_or_bom: bool, | |
| coherence_matches: &CoherenceMatches, | |
| decoded_payload: Option<&str>, | |
| ) -> Self { | |
| CharsetMatch { | |
| payload: Vec::from(payload), | |
| encoding: String::from(encoding), | |
| mean_mess_ratio, | |
| coherence_matches: coherence_matches.clone(), | |
| has_sig_or_bom, | |
| submatch: vec![], | |
| decoded_payload: decoded_payload.map(String::from).or_else(|| { | |
| decode(payload, encoding, DecoderTrap::Strict, false, true) | |
| .ok() | |
| .map(|res| res.strip_prefix('\u{feff}').unwrap_or(&res).to_string()) | |
| }), | |
| } | |
| } | |
| // Add submatch | |
| pub fn add_submatch(&mut self, submatch: &CharsetMatch) { | |
| self.submatch.push(submatch.clone()); | |
| //self.decoded_payload = None; | |
| } | |
| // Get encoding aliases according to https://encoding.spec.whatwg.org/encodings.json | |
| pub fn encoding_aliases(&self) -> Vec<&'static str> { | |
| IANA_SUPPORTED_ALIASES | |
| .get(self.encoding.as_str()) | |
| .cloned() | |
| .expect("Problem with static HashMap IANA_SUPPORTED_ALIASES") | |
| } | |
| // byte_order_mark | |
| pub fn bom(&self) -> bool { | |
| self.has_sig_or_bom | |
| } | |
| pub fn encoding(&self) -> &str { | |
| &self.encoding | |
| } | |
| pub fn chaos(&self) -> f32 { | |
| self.mean_mess_ratio | |
| } | |
| // Most probable language found in decoded sequence. If none were detected or inferred, the property will return | |
| // Language::Unknown | |
| pub fn most_probably_language(&self) -> &'static Language { | |
| self.coherence_matches.first().map_or_else( | |
| // Default case: Trying to infer the language based on the given encoding | |
| || { | |
| if self.suitable_encodings().contains(&String::from("ascii")) { | |
| &Language::English | |
| } else { | |
| let languages = if is_multi_byte_encoding(&self.encoding) { | |
| mb_encoding_languages(&self.encoding) | |
| } else { | |
| encoding_languages(self.encoding.clone()) | |
| }; | |
| languages.first().copied().unwrap_or(&Language::Unknown) | |
| } | |
| }, | |
| |lang| lang.language, | |
| ) | |
| } | |
| // Return the complete list of possible languages found in decoded sequence. | |
| // Usually not really useful. Returned list may be empty even if 'language' property return something != 'Unknown'. | |
| pub fn languages(&self) -> Vec<&'static Language> { | |
| self.coherence_matches | |
| .iter() | |
| .map(|cm| cm.language) | |
| .collect() | |
| } | |
| // Has submatch | |
| pub fn has_submatch(&self) -> bool { | |
| !self.submatch.is_empty() | |
| } | |
| // Return submatch list | |
| pub fn submatch(&self) -> &Vec<CharsetMatch> { | |
| &self.submatch | |
| } | |
| // Multibyte usage ratio | |
| pub fn multi_byte_usage(&self) -> f32 { | |
| let decoded_chars = self.decoded_payload().unwrap_or_default().chars().count() as f32; | |
| let payload_len = self.payload.len() as f32; | |
| 1.0 - (decoded_chars / payload_len) | |
| } | |
| // Original untouched bytes | |
| pub fn raw(&self) -> &Vec<u8> { | |
| &self.payload | |
| } | |
| // Return chaos in percents with rounding | |
| pub fn chaos_percents(&self) -> f32 { | |
| self.chaos() * 100.0 | |
| } | |
| // Return coherence in percents with rounding | |
| pub fn coherence_percents(&self) -> f32 { | |
| self.coherence() * 100.0 | |
| } | |
| // Most relevant language coherence | |
| pub fn coherence(&self) -> f32 { | |
| self.coherence_matches | |
| .first() | |
| .map(|lang| lang.score) | |
| .unwrap_or_default() | |
| } | |
| // To recalc decoded_payload field | |
| pub fn decoded_payload(&self) -> Option<&str> { | |
| self.decoded_payload.as_deref() | |
| } | |
| // The complete list of encodings that output the exact SAME str result and therefore could be the originating | |
| // encoding. This list does include the encoding available in property 'encoding'. | |
| pub fn suitable_encodings(&self) -> Vec<String> { | |
| std::iter::once(self.encoding.clone()) | |
| .chain(self.submatch.iter().map(|s| s.encoding.clone())) | |
| .collect() | |
| } | |
| // Returns sorted list of unicode ranges (if exists) | |
| pub fn unicode_ranges(&self) -> Vec<String> { | |
| let mut ranges: Vec<String> = range_scan(self.decoded_payload().unwrap_or_default()) | |
| .iter() | |
| .cloned() | |
| .collect(); | |
| ranges.sort_unstable(); | |
| ranges | |
| } | |
| } | |
| ///////////////////////////////////////////////////////////////////////////////////// | |
| // CharsetMatches | |
| // Container with every CharsetMatch items ordered by default from most probable | |
| // to the less one. | |
| ///////////////////////////////////////////////////////////////////////////////////// | |
| pub struct CharsetMatches { | |
| items: Vec<CharsetMatch>, | |
| } | |
| pub struct CharsetMatchesIterMut<'a> { | |
| items: std::slice::IterMut<'a, CharsetMatch>, | |
| } | |
| pub struct CharsetMatchesIter<'a> { | |
| items: std::slice::Iter<'a, CharsetMatch>, | |
| } | |
| impl CharsetMatches { | |
| // Initialization method | |
| pub fn new(items: Option<Vec<CharsetMatch>>) -> Self { | |
| let mut items = items.unwrap_or_default(); | |
| CharsetMatches::resort(&mut items); | |
| CharsetMatches { items } | |
| } | |
| pub fn from_single(item: CharsetMatch) -> Self { | |
| CharsetMatches { items: vec![item] } | |
| } | |
| // Insert a single match. Will be inserted accordingly to preserve sort. | |
| // Can be inserted as a submatch. | |
| pub fn append(&mut self, item: CharsetMatch) { | |
| // We should disable the submatch factoring when the input file is too heavy | |
| // (conserve RAM usage) | |
| if item.payload.len() <= TOO_BIG_SEQUENCE { | |
| for m in &mut self.items { | |
| if m.decoded_payload() == item.decoded_payload() | |
| && (m.mean_mess_ratio - item.mean_mess_ratio).abs() < f32::EPSILON | |
| { | |
| m.add_submatch(&item); | |
| return; | |
| } | |
| } | |
| } | |
| self.items.push(item); | |
| CharsetMatches::resort(&mut self.items); | |
| } | |
| // Simply return the first match. Strict equivalent to matches[0]. | |
| pub fn get_best(&self) -> Option<&CharsetMatch> { | |
| self.items.first() | |
| } | |
| // Retrieve a single item either by its position or encoding name (alias may be used here). | |
| pub fn get_by_encoding(&self, encoding: &str) -> Option<&CharsetMatch> { | |
| let encoding = iana_name(encoding)?; | |
| self.items | |
| .iter() | |
| .find(|&i| i.suitable_encodings().contains(&encoding.to_string())) | |
| } | |
| // Resort items by relevancy (for internal use) | |
| fn resort(items: &mut [CharsetMatch]) { | |
| items.sort_unstable_by(|a, b| a.partial_cmp(b).unwrap()); | |
| } | |
| // iterator | |
| pub fn iter_mut(&mut self) -> CharsetMatchesIterMut { | |
| CharsetMatchesIterMut { | |
| items: self.items.iter_mut(), | |
| } | |
| } | |
| pub fn iter(&self) -> CharsetMatchesIter { | |
| CharsetMatchesIter { | |
| items: self.items.iter(), | |
| } | |
| } | |
| // len | |
| pub fn len(&self) -> usize { | |
| self.items.len() | |
| } | |
| // is empty? | |
| pub fn is_empty(&self) -> bool { | |
| self.items.is_empty() | |
| } | |
| } | |
| impl Index<usize> for CharsetMatches { | |
| type Output = CharsetMatch; | |
| fn index(&self, index: usize) -> &Self::Output { | |
| &self.items[index] | |
| } | |
| } | |
| impl<'a> Iterator for CharsetMatchesIterMut<'a> { | |
| type Item = &'a mut CharsetMatch; | |
| fn next(&mut self) -> Option<Self::Item> { | |
| self.items.next() | |
| } | |
| } | |
| impl<'a> Iterator for CharsetMatchesIter<'a> { | |
| type Item = &'a CharsetMatch; | |
| fn next(&mut self) -> Option<Self::Item> { | |
| self.items.next() | |
| } | |
| } | |
| pub struct NormalizerSettings { | |
| /// How many steps (chunks) should be used from file | |
| pub steps: usize, | |
| /// Each chunk size | |
| pub chunk_size: usize, | |
| /// Mess ration threshold | |
| pub threshold: OrderedFloat<f32>, | |
| /// Specify probing encodings exactly | |
| pub include_encodings: Vec<String>, | |
| /// Exclude these encodings from probing | |
| pub exclude_encodings: Vec<String>, | |
| /// Allow try to find charset in the text | |
| pub preemptive_behaviour: bool, | |
| /// Language detector threshold | |
| pub language_threshold: OrderedFloat<f32>, | |
| /// Allow fallback to ASCII / UTF-8 | |
| pub enable_fallback: bool, | |
| } | |
| impl Default for NormalizerSettings { | |
| fn default() -> Self { | |
| NormalizerSettings { | |
| steps: 5, | |
| chunk_size: 512, | |
| threshold: OrderedFloat(0.2), | |
| include_encodings: vec![], | |
| exclude_encodings: vec![], | |
| preemptive_behaviour: true, | |
| language_threshold: OrderedFloat(0.1), | |
| enable_fallback: true, | |
| } | |
| } | |
| } | |
| ///////////////////////////////////////////////////////////////////////////////////// | |
| // Performance binary application | |
| ///////////////////////////////////////////////////////////////////////////////////// | |
| pub struct PerformanceArgs { | |
| /// Apply artificial size increase to challenge the detection mechanism further | |
| pub size_increase: u8, | |
| } | |
| // Struct to save result of each test in performance app | |
| pub struct PerformanceResult { | |
| /// Performance test duration | |
| pub duration: Duration, | |
| /// Is result accurate? | |
| pub correct: bool, | |
| } | |
| ///////////////////////////////////////////////////////////////////////////////////// | |
| // Normalizer CLI application | |
| ///////////////////////////////////////////////////////////////////////////////////// | |
| pub struct CLINormalizerArgs { | |
| /// File(s) to be analysed | |
| pub files: Vec<PathBuf>, | |
| /// Display complementary information about file if any. Stdout will contain logs about the detection process. | |
| pub verbose: bool, | |
| /// Output complementary possibilities if any. Top-level JSON WILL be a list. | |
| pub alternatives: bool, | |
| /// Permit to normalize input file. If not set, program does not write anything. | |
| pub normalize: bool, | |
| /// Only output the charset detected to STDOUT. Disabling JSON output. | |
| pub minimal: bool, | |
| /// Replace file when trying to normalize it instead of creating a new one. | |
| pub replace: bool, | |
| /// Replace file without asking if you are sure, use this flag with caution. | |
| pub force: bool, | |
| /// Define a custom maximum amount of chaos allowed in decoded content. 0. <= chaos <= 1. | |
| pub threshold: f32, | |
| } | |
| pub struct CLINormalizerResult { | |
| /// Path to analysed file | |
| pub path: PathBuf, | |
| /// Guessed encoding | |
| pub encoding: Option<String>, | |
| /// Possible aliases of guessed encoding | |
| pub encoding_aliases: Vec<String>, | |
| /// Alternative possible encodings | |
| pub alternative_encodings: Vec<String>, | |
| /// Most probably language | |
| pub language: String, | |
| /// Found alphabets | |
| pub alphabets: Vec<String>, | |
| /// Does it has SIG or BOM mark? | |
| pub has_sig_or_bom: bool, | |
| /// Chaos (mess) level | |
| pub chaos: String, | |
| /// Coherence (language detection) level | |
| pub coherence: String, | |
| /// Path to decoded data | |
| pub unicode_path: Option<PathBuf>, | |
| pub is_preferred: bool, | |
| } | |