Add comprehensive type hint coverage analysis tooling with mypy integration

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TYPE_HINT_ANALYSIS.md

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+# Type Hint Coverage Analysis for PyThaiNLP
+
+**Analysis Date:** 2026-02-03
+
+This document provides a comprehensive analysis of type hint coverage
+across the PyThaiNLP codebase.
+
+## Executive Summary
+
+The PyThaiNLP codebase demonstrates **strong type hint coverage** with
+82.22% of functions and methods having complete type hints.
+
+- **Total functions/methods analyzed:** 720
+- **Complete type hints:** 592 (82.22%)
+- **Incomplete type hints:** 56 (7.78%)
+- **No type hints:** 72 (10.00%)
+
+## Overall Statistics
+
+| Category | Count | Percentage |
+| -------- | ----- | ---------- |
+| Complete type hints | 592 | 82.22% |
+| Incomplete type hints | 56 | 7.78% |
+| No type hints | 72 | 10.00% |
+| **Total** | **720** | **100.00%** |
+
+## Breakdown by Submodule
+
+### Excellent Coverage (95%+)
+
+| Submodule | Total | Complete | Incomplete | None | % Complete | Mypy |
+| --------- | ----- | -------- | ---------- | ---- | ---------- | ---- |
+| **cli** | 21 | 21 | 0 | 0 | 100.00% | 6 |
+| **lm** | 2 | 2 | 0 | 0 | 100.00% | 6 |
+| **morpheme** | 2 | 2 | 0 | 0 | 100.00% | 6 |
+| **parse** | 9 | 9 | 0 | 0 | 100.00% | 6 |
+| **tokenizeicu** | 3 | 3 | 0 | 0 | 100.00% | - |
+| **tools** | 9 | 9 | 0 | 0 | 100.00% | 6 |
+| **transliterateicu** | 1 | 1 | 0 | 0 | 100.00% | - |
+| **word_vector** | 7 | 7 | 0 | 0 | 100.00% | 8 |
+| **ancient** | 2 | 2 | 0 | 0 | 100.00% | 6 |
+| **corpus** | 70 | 68 | 1 | 1 | 97.14% | 6 |
+| **tag** | 68 | 66 | 2 | 0 | 97.06% | 7 |
+| **soundex** | 27 | 26 | 0 | 1 | 96.30% | 6 |
+| **spell** | 43 | 41 | 2 | 0 | 95.35% | 6 |
+
+### Good Coverage (80-94%)
+
+| Submodule | Total | Complete | Incomplete | None | % Complete | Mypy |
+| --------- | ----- | -------- | ---------- | ---- | ---------- | ---- |
+| **util** | 109 | 103 | 4 | 2 | 94.50% | 6 |
+| **phayathaibert** | 19 | 17 | 0 | 2 | 89.47% | 6 |
+| **benchmarks** | 8 | 7 | 1 | 0 | 87.50% | 6 |
+| **tokenize** | 73 | 62 | 3 | 8 | 84.93% | 6 |
+| **translate** | 44 | 37 | 5 | 2 | 84.09% | 6 |
+
+### Moderate Coverage (50-79%)
+
+| Submodule | Total | Complete | Incomplete | None | % Complete | Mypy |
+| --------- | ----- | -------- | ---------- | ---- | ---------- | ---- |
+| **khavee** | 9 | 7 | 0 | 2 | 77.78% | 6 |
+| **summarize** | 17 | 12 | 5 | 0 | 70.59% | 9 |
+| **ulmfit** | 25 | 17 | 4 | 4 | 68.00% | 6 |
+| **augment** | 29 | 18 | 4 | 7 | 62.07% | 6 |
+| **generate** | 15 | 8 | 6 | 1 | 53.33% | 6 |
+| **wsd** | 4 | 2 | 2 | 0 | 50.00% | 6 |
+
+### Needs Improvement (<50%)
+
+| Submodule | Total | Complete | Incomplete | None | % Complete | Mypy |
+| --------- | ----- | -------- | ---------- | ---- | ---------- | ---- |
+| **transliterate** | 75 | 36 | 9 | 30 | 48.00% | 6 |
+| **wangchanberta** | 9 | 4 | 1 | 4 | 44.44% | 6 |
+| **coref** | 5 | 2 | 2 | 1 | 40.00% | 6 |
+| **chat** | 4 | 1 | 1 | 2 | 25.00% | 6 |
+| **classify** | 5 | 1 | 3 | 1 | 20.00% | 6 |
+| **el** | 5 | 1 | 1 | 3 | 20.00% | 6 |
+| **main** | 1 | 0 | 0 | 1 | 0.00% | 0 |
+
+## Priority Analysis
+
+Functions and methods are categorized by priority based on:
+
+- **Scope:** Public vs. private
+- **Internal references:** How frequently they're used within the package
+- **Test coverage:** Which test suite they belong to (core, compact, extra,
+  noauto)
+
+### High Priority Items
+
+**Criteria:** Public functions with >10 internal references in core/compact
+test suites
+
+**Finding:** No functions without type hints fall into this category,
+indicating that the most critical, widely-used public APIs are well-covered.
+
+### Medium Priority Items
+
+**Criteria:** Public functions with 3-10 references
+
+**Functions without type hints (51 total):**
+
+Top items include:
+
+- `pythainlp.corpus.util.tokenize` (991 references)
+- `pythainlp.classify.param_free.GzipModel.train` (164 references)
+- Various `__init__` methods across multiple classes (113 references each)
+
+**Functions with incomplete type hints (43 total):**
+
+Top items include:
+
+- `pythainlp.tokenize.nercut.segment` (2/3 params hinted)
+- `pythainlp.classify.param_free.GzipModel.load` (missing return type)
+- Various `__init__` methods missing return type hints
+
+### Low Priority Items
+
+**Criteria:** Private functions or rarely referenced functions
+
+- **21 functions** without type hints
+- **13 functions** with incomplete type hints
+
+## Test Suite Coverage
+
+Functions are mapped to test suites based on the test categorization:
+
+- **core:** Core functionality tests (no external dependencies)
+- **compact:** Tests with stable, small dependencies
+- **extra:** Tests with larger dependencies
+- **noauto:** Tests not run in CI/CD (e.g., TensorFlow dependencies)
+- **unknown:** Functions not clearly mapped to a test suite
+
+Most functions requiring type hint improvements are either in "unknown"
+test suite category or are tested indirectly.
+
+## Recommendations
+
+### Immediate Actions (High Priority)
+
+1. **Complete coverage for widely-used public APIs**
+   - ✅ Already achieved - no high-priority items without type hints
+
+### Short-term Improvements (Medium Priority)
+
+1. **transliterate submodule** (48.00% coverage)
+   - Focus on 30 functions without type hints
+   - Address 9 functions with incomplete hints
+
+2. **classify submodule** (20.00% coverage)
+   - Add type hints to 3 incomplete functions
+   - Add type hints to 1 function without hints
+
+3. **el (entity linking) submodule** (20.00% coverage)
+   - Add type hints to 3 functions without hints
+   - Complete 1 function with incomplete hints
+
+4. **chat submodule** (25.00% coverage)
+   - Add type hints to 2 functions without hints
+   - Complete 1 function with incomplete hints
+
+5. **wangchanberta submodule** (44.44% coverage)
+   - Add type hints to 4 functions without hints
+   - Complete 1 function with incomplete hints
+
+6. **Add return type hints to `__init__` methods**
+   - Many class `__init__` methods are missing `-> None` return type
+   - This is a quick win that significantly improves completeness
+
+### Long-term Goals
+
+1. **Achieve 95%+ coverage across all submodules**
+2. **Maintain type hint standards for new code**
+3. **Gradually improve coverage in legacy code during maintenance**
+
+## Detailed Results
+
+Full analysis results with file locations and line numbers are available in:
+
+- **JSON format:** `/tmp/type_hint_analysis.json`
+- **Text report:** Contains full listings of all functions by priority
+
+## Analysis Methodology
+
+This analysis was performed using a custom AST-based analyzer that:
+
+1. Scans all Python files in the repository
+2. Parses function and method definitions using Python's `ast` module
+3. Checks for type hints on parameters and return values
+4. Categorizes functions by:
+   - Completeness (complete/incomplete/none)
+   - Scope (public/private)
+   - Internal reference count
+   - Test suite mapping
+5. Assigns priority based on the above factors
+6. Runs mypy on each submodule to count type-related errors
+
+**Notes:**
+
+- Classes themselves are not scored (only their methods)
+- `self` and `cls` parameters are excluded from type hint requirements
+- Functions with no parameters and no return type hint are marked as "none"
+- Functions with all parameters typed and return type are marked as
+  "complete"
+- Everything else is marked as "incomplete"
+
+## Conclusion
+
+PyThaiNLP demonstrates **strong type hint adoption** with 82.22% complete
+coverage. The codebase has excellent coverage in core modules (cli, corpus,
+tag, spell) and good coverage in most other areas.
+
+The main areas for improvement are specialized modules like `transliterate`,
+`classify`, `el`, and `chat`, which represent opportunities for enhancing
+type safety and developer experience.
+
+---
+
+This report was automatically generated on 2026-02-03.