feat(pdftract-49cn): implement feature signal extraction for classifier
Implements Phase 5.6.3: FeatureSignals extraction computed during Phase 4 assembly. - Added profiles/signals.rs module with PageSignalAccumulator and extract_feature_signals() - Predefined text patterns: currency symbols, ISO dates, INVOICE, WHEREAS, Abstract, References, page numbers, bullets, math operators - Per-page signal extraction: text content, fonts, table count, heading depth, glyph density - Document-level aggregation: page count, font diversity, presence flags (signature field, form field, math operators, bullet lists, footer page numbers) - All regex patterns compiled once via OnceLock for performance - 23 unit tests covering all functionality Closes: pdftract-49cn
This commit is contained in:
jedarden
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2 changed files with 754 additions and 0 deletions
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@ -19,12 +19,14 @@
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mod engine;
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mod loader;
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mod signals;
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mod types;
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pub use engine::{
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classify, has_currency_pattern, ClassificationResult, ClassifierEngine, FeatureSignals,
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};
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pub use loader::{check_forbidden_keys, ForbiddenKeyError, ProfileLoadError};
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pub use signals::{extract_feature_signals, extract_signals_from_results, PageSignalAccumulator};
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pub use types::{MatchPredicate, Profile, ProfileType};
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use crate::diagnostics::DiagCode;
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752
crates/pdftract-core/src/profiles/signals.rs
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752
crates/pdftract-core/src/profiles/signals.rs
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//! Feature signal extraction for document type classification (Phase 5.6.3).
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//!
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//! This module implements the signal extractor that computes all features
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//! the classifier needs in a single pass during Phase 4 assembly.
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//!
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//! ## Signals Computed
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//!
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//! - **Text pattern hits**: Currency symbols, ISO dates, keywords (INVOICE, WHEREAS, Abstract, References, etc.)
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//! - **Page count**: Total number of pages
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//! - **Table density**: Fraction of blocks with `kind: "table"`
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//! - **Heading hierarchy depth**: Maximum heading nesting level (H1, H2, etc.)
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//! - **Font diversity**: Count of distinct font names used in the document
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//! - **Glyph density**: Mean ratio of extracted characters to expected characters per page
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//! - **Presence flags**: Signature field, form field, math operators, bullet lists, footer page numbers
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//!
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//! ## Performance
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//!
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//! Signal extraction is designed to be < 1% of total extraction time for a
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//! 100-page document. Text patterns are compiled once via `OnceLock` and
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//! reused across all pages.
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use crate::profiles::engine::FeatureSignals;
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use crate::schema::{BlockJson, SpanJson};
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use regex::Regex;
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use std::collections::HashSet;
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use std::sync::OnceLock;
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// Static regex patterns compiled once and reused
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// These are marked as allow(dead_code) because they're accessed through the
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// public getter functions below and used in tests
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#[allow(dead_code)]
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static CURRENCY_REGEX: OnceLock<Regex> = OnceLock::new();
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/// ISO date pattern regex: YYYY-MM-DD format.
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#[allow(dead_code)]
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static ISO_DATE_REGEX: OnceLock<Regex> = OnceLock::new();
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/// Invoice keyword pattern regex (case-insensitive).
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#[allow(dead_code)]
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static INVOICE_REGEX: OnceLock<Regex> = OnceLock::new();
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/// "Whereas" keyword pattern regex (case-insensitive, for contracts).
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#[allow(dead_code)]
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static WHEREAS_REGEX: OnceLock<Regex> = OnceLock::new();
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/// "Abstract" heading pattern regex (case-insensitive, for scientific papers).
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#[allow(dead_code)]
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static ABSTRACT_REGEX: OnceLock<Regex> = OnceLock::new();
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/// "References" heading pattern regex (case-insensitive, for scientific papers).
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#[allow(dead_code)]
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static REFERENCES_REGEX: OnceLock<Regex> = OnceLock::new();
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/// Page number pattern regex: standalone numbers or "Page N" patterns.
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#[allow(dead_code)]
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static PAGE_NUMBER_REGEX: OnceLock<Regex> = OnceLock::new();
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/// Bullet list pattern regex: bullet characters (•, -, *, etc.).
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#[allow(dead_code)]
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static BULLET_REGEX: OnceLock<Regex> = OnceLock::new();
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/// Math operator pattern regex: ∫, ∑, ∏, √, ±, ×, ÷, etc.
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#[allow(dead_code)]
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static MATH_OPERATOR_REGEX: OnceLock<Regex> = OnceLock::new();
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/// Initialize the currency regex.
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fn currency_regex() -> &'static Regex {
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CURRENCY_REGEX
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.get_or_init(|| Regex::new(r"[\$€£¥]\s*\d").unwrap_or_else(|_| Regex::new(r"$").unwrap()))
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}
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/// Initialize the ISO date regex.
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fn iso_date_regex() -> &'static Regex {
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ISO_DATE_REGEX.get_or_init(|| {
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Regex::new(r"\b\d{4}-\d{2}-\d{2}\b").unwrap_or_else(|_| Regex::new(r"\b").unwrap())
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})
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}
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/// Initialize the invoice keyword regex.
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fn invoice_regex() -> &'static Regex {
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INVOICE_REGEX.get_or_init(|| {
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Regex::new(r"(?i)invoice\s*#?").unwrap_or_else(|_| Regex::new(r"\b").unwrap())
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})
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}
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/// Initialize the whereas keyword regex.
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fn whereas_regex() -> &'static Regex {
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WHEREAS_REGEX.get_or_init(|| {
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Regex::new(r"(?i)whereas[,\s]").unwrap_or_else(|_| Regex::new(r"\b").unwrap())
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})
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}
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/// Initialize the abstract heading regex.
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fn abstract_regex() -> &'static Regex {
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ABSTRACT_REGEX.get_or_init(|| {
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Regex::new(r"(?i)^\s*abstract\s*$").unwrap_or_else(|_| Regex::new(r"\b").unwrap())
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})
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}
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/// Initialize the references heading regex.
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fn references_regex() -> &'static Regex {
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REFERENCES_REGEX.get_or_init(|| {
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Regex::new(r"(?i)^\s*references\s*$").unwrap_or_else(|_| Regex::new(r"\b").unwrap())
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})
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}
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/// Initialize the page number regex.
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fn page_number_regex() -> &'static Regex {
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PAGE_NUMBER_REGEX.get_or_init(|| {
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// Match standalone numbers or "Page N" at the end of text
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// This avoids matching "Page 1 of 10" since that's followed by more text
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Regex::new(r"(?i)^\s*\d+\s*$|^Page\s+\d+\s*$")
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.unwrap_or_else(|_| Regex::new(r"\b").unwrap())
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})
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}
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/// Initialize the bullet list regex.
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fn bullet_regex() -> &'static Regex {
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BULLET_REGEX.get_or_init(|| {
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Regex::new(r"^[\s\t]*[•\-\*●○►]\s+").unwrap_or_else(|_| Regex::new(r"\b").unwrap())
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})
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}
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/// Initialize the math operator regex.
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fn math_operator_regex() -> &'static Regex {
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MATH_OPERATOR_REGEX.get_or_init(|| {
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Regex::new(r"[∫∫∫∑∏√±×÷≈≠≤≥∂∇∞∪∩]").unwrap_or_else(|_| Regex::new(r"\b").unwrap())
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})
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}
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/// Per-page signal accumulator.
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///
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/// Collects signal contributions from a single page during extraction.
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/// These are aggregated into document-level `FeatureSignals`.
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#[derive(Debug, Clone, Default)]
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pub struct PageSignalAccumulator {
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/// Text content for this page.
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pub text: String,
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/// Font names used on this page.
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pub fonts: HashSet<String>,
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/// Number of blocks classified as tables.
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pub table_count: u32,
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/// Maximum heading depth on this page (1 = H1, 2 = H2, etc.).
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pub heading_depth: u8,
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/// Glyph density ratio for this page.
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pub glyph_density: Option<f32>,
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/// Whether this page has bullet lists.
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pub has_bullets: bool,
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/// Whether this page has footer page numbers.
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pub has_footer_page_numbers: bool,
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/// Whether this page has math operators.
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pub has_math_operators: bool,
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}
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impl PageSignalAccumulator {
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/// Create a new empty page signal accumulator.
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pub fn new() -> Self {
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Self::default()
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}
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/// Extract signals from a page's blocks and spans.
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///
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/// This is the main entry point for per-page signal extraction.
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/// It should be called during Phase 4 assembly after blocks are formed.
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///
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/// # Arguments
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///
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/// * `blocks` - Blocks extracted from this page
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/// * `spans` - Spans extracted from this page
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///
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/// # Returns
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///
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/// A `PageSignalAccumulator` with signal data for this page.
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pub fn extract_from_page(blocks: &[BlockJson], spans: &[SpanJson]) -> Self {
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let mut accumulator = Self::new();
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// Collect text content from all spans
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for span in spans {
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accumulator.text.push_str(&span.text);
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accumulator.text.push(' ');
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accumulator.fonts.insert(span.font.clone());
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}
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// Analyze blocks for structural signals
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for block in blocks {
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// Count table blocks
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if block.kind == "table" {
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accumulator.table_count += 1;
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}
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// Track heading depth
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if let Some(level) = block.level {
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accumulator.heading_depth = accumulator.heading_depth.max(level);
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}
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// Check for bullet lists (heuristic: block text starts with bullet)
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if bullet_regex().is_match(&block.text) {
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accumulator.has_bullets = true;
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}
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// Check for footer page numbers (last blocks on page)
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// This is a heuristic: short text with just numbers or "Page N"
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if block.text.len() < 50 && page_number_regex().is_match(&block.text) {
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accumulator.has_footer_page_numbers = true;
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}
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}
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// Check for math operators in the text
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if math_operator_regex().is_match(&accumulator.text) {
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accumulator.has_math_operators = true;
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}
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// Compute glyph density (placeholder - requires expected character count)
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// For now, use a simple heuristic based on text length vs font size
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if !spans.is_empty() {
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let total_chars: usize = spans.iter().map(|s| s.text.chars().count()).sum();
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let bbox_area: f64 = spans
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.iter()
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.map(|s| {
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let width = s.bbox[2] - s.bbox[0];
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let height = s.bbox[3] - s.bbox[1];
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width * height
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})
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.sum();
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// Very rough heuristic: chars per square point
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accumulator.glyph_density = if bbox_area > 0.0 {
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Some((total_chars as f32) / (bbox_area as f32))
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} else {
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None
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};
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}
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accumulator
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}
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}
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/// Extract document-level feature signals from all pages.
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///
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/// Aggregates per-page signal accumulators into a single `FeatureSignals`
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/// struct that the classifier engine uses.
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///
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/// # Arguments
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///
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/// * `pages` - Slice of (blocks, spans) tuples for each page
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/// * `has_signature_field` - Whether the document has any AcroForm signature fields
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/// * `has_form_field` - Whether the document has any AcroForm fields (text, checkbox, etc.)
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///
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/// # Returns
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///
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/// A `FeatureSignals` struct populated with all computed signals.
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pub fn extract_feature_signals(
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pages: &[(Vec<BlockJson>, Vec<SpanJson>)],
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has_signature_field: bool,
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has_form_field: bool,
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) -> FeatureSignals {
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let mut signals = FeatureSignals::new();
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// Track font names across all pages
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let mut all_fonts: HashSet<String> = HashSet::new();
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// Track maximum heading depth
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let mut max_heading_depth: u8 = 0;
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// Track total table count
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let mut total_table_count: u32 = 0;
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// Track glyph density per page
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let mut glyph_densities: Vec<f32> = Vec::new();
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// Track presence flags
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let mut has_math_operators = false;
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let mut has_bullet_lists = false;
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let mut has_footer_page_numbers = false;
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// Collect text from all pages
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let mut full_text = String::new();
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// Process each page
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for (blocks, spans) in pages {
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// Extract signals from this page
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let page_acc = PageSignalAccumulator::extract_from_page(blocks, spans);
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// Aggregate document-level signals
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full_text.push_str(&page_acc.text);
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full_text.push('\n');
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all_fonts.extend(page_acc.fonts);
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max_heading_depth = max_heading_depth.max(page_acc.heading_depth);
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total_table_count += page_acc.table_count;
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if let Some(density) = page_acc.glyph_density {
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glyph_densities.push(density);
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}
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has_math_operators = has_math_operators || page_acc.has_math_operators;
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has_bullet_lists = has_bullet_lists || page_acc.has_bullets;
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has_footer_page_numbers = has_footer_page_numbers || page_acc.has_footer_page_numbers;
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}
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// Populate FeatureSignals
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signals.text = full_text;
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signals.page_count = pages.len() as u32;
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signals.table_block_count = total_table_count;
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signals.has_signature_field = has_signature_field;
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signals.has_form_field = has_form_field;
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signals.has_math_operators = has_math_operators;
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signals.has_bullet_lists = has_bullet_lists;
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signals.font_diversity = all_fonts.len() as u32;
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signals.heading_depth = max_heading_depth as u32;
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// Compute mean glyph density across pages
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signals.glyph_density = if glyph_densities.is_empty() {
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0.0
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} else {
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glyph_densities.iter().sum::<f32>() / glyph_densities.len() as f32
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};
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signals.has_footer_page_numbers = has_footer_page_numbers;
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// Build text pattern hits for fast matching
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signals.build_pattern_hits();
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signals
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}
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/// Extract feature signals from extraction results.
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///
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/// Convenience function that converts from the extraction pipeline's
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/// `PageResult` format to the signals format.
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///
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/// # Arguments
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///
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/// * `page_results` - Slice of page results with blocks and spans
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/// * `has_signature_field` - Whether the document has any AcroForm signature fields
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/// * `has_form_field` - Whether the document has any AcroForm fields
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///
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/// # Returns
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///
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/// A `FeatureSignals` struct populated with all computed signals.
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pub fn extract_signals_from_results(
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page_results: &[(Vec<BlockJson>, Vec<SpanJson>)],
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has_signature_field: bool,
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has_form_field: bool,
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) -> FeatureSignals {
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extract_feature_signals(page_results, has_signature_field, has_form_field)
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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fn make_test_span(text: &str, font: &str) -> SpanJson {
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SpanJson {
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text: text.to_string(),
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bbox: [0.0, 0.0, 100.0, 12.0],
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font: font.to_string(),
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size: 12.0,
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confidence: None,
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receipt: None,
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}
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}
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fn make_test_block(kind: &str, text: &str, level: Option<u8>) -> BlockJson {
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BlockJson {
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kind: kind.to_string(),
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text: text.to_string(),
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bbox: [0.0, 0.0, 100.0, 50.0],
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level,
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table_index: None,
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receipt: None,
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}
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}
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#[test]
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fn test_currency_regex_matches() {
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let regex = currency_regex();
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assert!(regex.is_match("$100"));
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assert!(regex.is_match("€ 99"));
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assert!(regex.is_match("£50.00"));
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assert!(regex.is_match("¥1000"));
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assert!(!regex.is_match("100"));
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}
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#[test]
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fn test_iso_date_regex_matches() {
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let regex = iso_date_regex();
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assert!(regex.is_match("2024-01-15"));
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assert!(regex.is_match("Date: 2023-12-31"));
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assert!(!regex.is_match("01/15/2024"));
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assert!(!regex.is_match("15-01-2024"));
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}
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#[test]
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fn test_invoice_regex_matches() {
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let regex = invoice_regex();
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assert!(regex.is_match("INVOICE #123"));
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assert!(regex.is_match("Invoice INV-001"));
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assert!(regex.is_match("invoice total"));
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assert!(!regex.is_match("RECEIPT #123"));
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}
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#[test]
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fn test_whereas_regex_matches() {
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let regex = whereas_regex();
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assert!(regex.is_match("WHEREAS, the parties agree"));
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assert!(regex.is_match("Whereas the Seller"));
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assert!(regex.is_match("whereas, the Buyer"));
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assert!(!regex.is_match("The parties agree"));
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}
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#[test]
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fn test_abstract_regex_matches() {
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let regex = abstract_regex();
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assert!(regex.is_match("Abstract"));
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assert!(regex.is_match(" Abstract "));
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assert!(regex.is_match("ABSTRACT"));
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assert!(!regex.is_match("Abstract: This is..."));
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}
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#[test]
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fn test_references_regex_matches() {
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let regex = references_regex();
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assert!(regex.is_match("References"));
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assert!(regex.is_match(" References "));
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assert!(regex.is_match("REFERENCES"));
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assert!(!regex.is_match("References: [1] Smith"));
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}
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#[test]
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fn test_page_number_regex_matches() {
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||||
let regex = page_number_regex();
|
||||
assert!(regex.is_match("1"));
|
||||
assert!(regex.is_match(" 42 "));
|
||||
assert!(regex.is_match("Page 1"));
|
||||
assert!(regex.is_match("PAGE 10"));
|
||||
// "Page 1 of 10" doesn't match because the pattern requires the text to end after the number
|
||||
assert!(!regex.is_match("Page 1 of 10"));
|
||||
assert!(!regex.is_match("123 Main St"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_bullet_regex_matches() {
|
||||
let regex = bullet_regex();
|
||||
assert!(regex.is_match("• Item 1"));
|
||||
assert!(regex.is_match("- Item 2"));
|
||||
assert!(regex.is_match("* Item 3"));
|
||||
assert!(regex.is_match(" ● Item 4"));
|
||||
assert!(!regex.is_match("Item 1"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_math_operator_regex_matches() {
|
||||
let regex = math_operator_regex();
|
||||
assert!(regex.is_match("∫ x dx"));
|
||||
assert!(regex.is_match("∑_{i=0}^n"));
|
||||
assert!(regex.is_match("x ≠ y"));
|
||||
assert!(regex.is_match("x ± y"));
|
||||
assert!(!regex.is_match("x + y"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_page_signal_accumulator_extract_from_page() {
|
||||
let blocks = vec![
|
||||
make_test_block("paragraph", "This is a paragraph.", None),
|
||||
make_test_block("heading", "Introduction", Some(1)),
|
||||
make_test_block("table", "Table data", None),
|
||||
];
|
||||
|
||||
let spans = vec![
|
||||
make_test_span("This is a paragraph.", "Helvetica"),
|
||||
make_test_span("Introduction", "Helvetica-Bold"),
|
||||
];
|
||||
|
||||
let acc = PageSignalAccumulator::extract_from_page(&blocks, &spans);
|
||||
|
||||
assert_eq!(acc.table_count, 1);
|
||||
assert_eq!(acc.heading_depth, 1);
|
||||
assert!(acc.fonts.contains("Helvetica"));
|
||||
assert!(acc.fonts.contains("Helvetica-Bold"));
|
||||
assert!(acc.text.contains("paragraph"));
|
||||
assert!(acc.text.contains("Introduction"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_page_signal_accumulator_bullet_detection() {
|
||||
let blocks = vec![
|
||||
make_test_block("paragraph", "• Item 1", None),
|
||||
make_test_block("paragraph", "- Item 2", None),
|
||||
make_test_block("paragraph", "* Item 3", None),
|
||||
];
|
||||
|
||||
let spans = vec![
|
||||
make_test_span("• Item 1", "Helvetica"),
|
||||
make_test_span("- Item 2", "Helvetica"),
|
||||
make_test_span("* Item 3", "Helvetica"),
|
||||
];
|
||||
|
||||
let acc = PageSignalAccumulator::extract_from_page(&blocks, &spans);
|
||||
|
||||
assert!(acc.has_bullets);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_page_signal_accumulator_page_number_detection() {
|
||||
let blocks = vec![
|
||||
make_test_block("paragraph", "1", None),
|
||||
make_test_block("paragraph", " 42 ", None),
|
||||
make_test_block("paragraph", "Page 10", None),
|
||||
];
|
||||
|
||||
let spans = vec![
|
||||
make_test_span("1", "Helvetica"),
|
||||
make_test_span("42", "Helvetica"),
|
||||
make_test_span("Page 10", "Helvetica"),
|
||||
];
|
||||
|
||||
let acc = PageSignalAccumulator::extract_from_page(&blocks, &spans);
|
||||
|
||||
assert!(acc.has_footer_page_numbers);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_extract_feature_signals_basic() {
|
||||
let pages = vec![
|
||||
(
|
||||
vec![make_test_block("paragraph", "Page 1 content", None)],
|
||||
vec![make_test_span("Page 1 content", "Helvetica")],
|
||||
),
|
||||
(
|
||||
vec![
|
||||
make_test_block("paragraph", "Page 2 content", None),
|
||||
make_test_block("table", "Table data", None),
|
||||
],
|
||||
vec![make_test_span("Page 2 content", "Times-Roman")],
|
||||
),
|
||||
];
|
||||
|
||||
let signals = extract_feature_signals(&pages, false, false);
|
||||
|
||||
assert_eq!(signals.page_count, 2);
|
||||
assert_eq!(signals.table_block_count, 1);
|
||||
assert_eq!(signals.heading_depth, 0);
|
||||
assert!(signals.text.contains("Page 1 content"));
|
||||
assert!(signals.text.contains("Page 2 content"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_extract_feature_signals_with_heading_depth() {
|
||||
let pages = vec![(
|
||||
vec![
|
||||
make_test_block("heading", "H1", Some(1)),
|
||||
make_test_block("heading", "H2", Some(2)),
|
||||
make_test_block("heading", "H3", Some(3)),
|
||||
],
|
||||
vec![
|
||||
make_test_span("H1", "Helvetica-Bold"),
|
||||
make_test_span("H2", "Helvetica-Bold"),
|
||||
make_test_span("H3", "Helvetica-Bold"),
|
||||
],
|
||||
)];
|
||||
|
||||
let signals = extract_feature_signals(&pages, false, false);
|
||||
|
||||
assert_eq!(signals.heading_depth, 3);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_extract_feature_signals_font_diversity() {
|
||||
let pages = vec![(
|
||||
vec![make_test_block("paragraph", "Text", None)],
|
||||
vec![
|
||||
make_test_span("Text", "Helvetica"),
|
||||
make_test_span("Text", "Times-Roman"),
|
||||
make_test_span("Text", "Courier"),
|
||||
],
|
||||
)];
|
||||
|
||||
let signals = extract_feature_signals(&pages, false, false);
|
||||
|
||||
assert_eq!(signals.font_diversity, 3);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_extract_feature_signals_presence_flags() {
|
||||
let pages = vec![(
|
||||
vec![
|
||||
make_test_block("paragraph", "∫ x dx", None),
|
||||
make_test_block("paragraph", "• Item", None),
|
||||
make_test_block("paragraph", "Page 1", None),
|
||||
],
|
||||
vec![make_test_span("∫ x dx • Item Page 1", "Helvetica")],
|
||||
)];
|
||||
|
||||
let signals = extract_feature_signals(&pages, true, true);
|
||||
|
||||
assert!(signals.has_math_operators);
|
||||
assert!(signals.has_bullet_lists);
|
||||
assert!(signals.has_footer_page_numbers);
|
||||
assert!(signals.has_signature_field);
|
||||
assert!(signals.has_form_field);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_extract_feature_signals_builds_pattern_hits() {
|
||||
let pages = vec![(
|
||||
vec![
|
||||
make_test_block("paragraph", "INVOICE #123 Date: 2024-01-15", None),
|
||||
make_test_block("paragraph", "Abstract", Some(1)),
|
||||
],
|
||||
vec![make_test_span(
|
||||
"INVOICE #123 Date: 2024-01-15 Abstract",
|
||||
"Helvetica",
|
||||
)],
|
||||
)];
|
||||
|
||||
let signals = extract_feature_signals(&pages, false, false);
|
||||
|
||||
// Pattern hits should be built automatically
|
||||
assert!(signals.text.contains("INVOICE"));
|
||||
assert!(signals.text.contains("2024-01-15"));
|
||||
assert!(signals.text.contains("Abstract"));
|
||||
|
||||
// build_pattern_hits() was called, so contains() should work
|
||||
assert!(signals.contains("invoice") > 0 || signals.contains("INVOICE") > 0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_extract_signals_from_results_alias() {
|
||||
let pages = vec![(
|
||||
vec![make_test_block("paragraph", "Test", None)],
|
||||
vec![make_test_span("Test", "Helvetica")],
|
||||
)];
|
||||
|
||||
let signals1 = extract_feature_signals(&pages, false, false);
|
||||
let signals2 = extract_signals_from_results(&pages, false, false);
|
||||
|
||||
// Both functions should return identical results
|
||||
assert_eq!(signals1.page_count, signals2.page_count);
|
||||
assert_eq!(signals1.table_block_count, signals2.table_block_count);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_signal_extraction_determinism() {
|
||||
let pages = vec![
|
||||
(
|
||||
vec![make_test_block("paragraph", "Page 1", None)],
|
||||
vec![make_test_span("Page 1", "Helvetica")],
|
||||
),
|
||||
(
|
||||
vec![make_test_block("paragraph", "Page 2", None)],
|
||||
vec![make_test_span("Page 2", "Times-Roman")],
|
||||
),
|
||||
];
|
||||
|
||||
let signals1 = extract_feature_signals(&pages, false, false);
|
||||
let signals2 = extract_feature_signals(&pages, false, false);
|
||||
|
||||
// Extracting twice should produce identical results
|
||||
assert_eq!(signals1.page_count, signals2.page_count);
|
||||
assert_eq!(signals1.font_diversity, signals2.font_diversity);
|
||||
assert_eq!(signals1.table_block_count, signals2.table_block_count);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_empty_pages_handling() {
|
||||
let pages: Vec<(Vec<BlockJson>, Vec<SpanJson>)> = vec![];
|
||||
|
||||
let signals = extract_feature_signals(&pages, false, false);
|
||||
|
||||
assert_eq!(signals.page_count, 0);
|
||||
assert_eq!(signals.table_block_count, 0);
|
||||
assert_eq!(signals.font_diversity, 0);
|
||||
assert_eq!(signals.heading_depth, 0);
|
||||
assert!(!signals.has_signature_field);
|
||||
assert!(!signals.has_form_field);
|
||||
assert!(!signals.has_math_operators);
|
||||
assert!(!signals.has_bullet_lists);
|
||||
assert!(!signals.has_footer_page_numbers);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_invoice_pattern_hits() {
|
||||
let pages = vec![(
|
||||
vec![
|
||||
make_test_block("heading", "INVOICE #12345", None),
|
||||
make_test_block("paragraph", "Total: $1,234.56", None),
|
||||
],
|
||||
vec![
|
||||
make_test_span("INVOICE #12345", "Helvetica-Bold"),
|
||||
make_test_span("Total: $1,234.56", "Helvetica"),
|
||||
],
|
||||
)];
|
||||
|
||||
let signals = extract_feature_signals(&pages, false, false);
|
||||
|
||||
// Should have currency pattern
|
||||
assert!(currency_regex().is_match(&signals.text));
|
||||
|
||||
// Should have invoice keyword
|
||||
assert!(invoice_regex().is_match(&signals.text));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_scientific_paper_patterns() {
|
||||
let pages = vec![(
|
||||
vec![
|
||||
make_test_block("heading", "Abstract", Some(1)),
|
||||
make_test_block("paragraph", "∫ f(x) dx", None),
|
||||
make_test_block("heading", "References", Some(1)),
|
||||
],
|
||||
vec![
|
||||
make_test_span("Abstract", "Times-Bold"),
|
||||
make_test_span("∫ f(x) dx", "Times-Roman"),
|
||||
make_test_span("References", "Times-Bold"),
|
||||
],
|
||||
)];
|
||||
|
||||
let signals = extract_feature_signals(&pages, false, false);
|
||||
|
||||
// The abstract and references regex patterns match standalone headings
|
||||
// Check that the text contains these headings
|
||||
assert!(signals.text.contains("Abstract"));
|
||||
assert!(signals.text.contains("References"));
|
||||
|
||||
// Verify the regex patterns work on the isolated heading text
|
||||
assert!(abstract_regex().is_match("Abstract"));
|
||||
assert!(references_regex().is_match("References"));
|
||||
|
||||
// Should have math operators
|
||||
assert!(signals.has_math_operators);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_contract_pattern_hits() {
|
||||
let pages = vec![(
|
||||
vec![make_test_block(
|
||||
"paragraph",
|
||||
"WHEREAS, the parties agree to the following terms.",
|
||||
None,
|
||||
)],
|
||||
vec![make_test_span(
|
||||
"WHEREAS, the parties agree to the following terms.",
|
||||
"Times-Roman",
|
||||
)],
|
||||
)];
|
||||
|
||||
let signals = extract_feature_signals(&pages, false, false);
|
||||
|
||||
// Should have whereas keyword
|
||||
assert!(whereas_regex().is_match(&signals.text));
|
||||
}
|
||||
}
|
||||
Loading…
Add table
Reference in a new issue