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Story 2.2 - rule engine finished

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PeninsulaInd 2025-10-18 20:52:53 -05:00
parent d81537f1bf
commit 0069e6efc3
7 changed files with 1047 additions and 14 deletions
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158
docs/stories/story-2.2-content-rule-engine.md 100644
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# Story 2.2: Configurable Content Rule Engine
## Overview
Implementation of a CORA-compliant content validation engine that ensures AI-generated HTML meets both universal quality standards and project-specific CORA targets.
## Status
**COMPLETED**
## Implementation Details
### 1. Database Changes
- Added `tier` field to `Project` model (default=1, indexed)
- Created migration script: `scripts/add_tier_to_projects.py`
- Tier 1 = strictest validation (default)
- Tier 2+ = warnings only for CORA target misses
### 2. Configuration Updates
**File:** `master.config.json`
Restructured `content_rules` with two validation levels:
**Universal Rules** (apply to all tiers, hard failures):
- `min_content_length`: 1000 words minimum
- `max_content_length`: 5000 words maximum
- `title_exact_match_required`: Title must contain main keyword
- `h1_exact_match_required`: H1 must contain main keyword
- `h2_exact_match_min`: At least 1 H2 with main keyword
- `h3_exact_match_min`: At least 1 H3 with main keyword
- `faq_section_required`: Must include FAQ section
- `faq_question_restatement_required`: FAQ answers restate questions
- `image_alt_text_keyword_required`: Alt text must contain keyword
- `image_alt_text_entity_required`: Alt text must contain entities
**CORA Validation Config**:
- `enabled`: Toggle CORA validation on/off
- `tier_1_strict`: Tier 1 fails on CORA target misses
- `tier_2_plus_warn_only`: Tier 2+ only warns
- `round_averages_down`: Round CORA averages down (e.g., 5.6 → 5)
### 3. Core Rule Engine
**File:** `src/generation/rule_engine.py`
**Classes:**
- `ValidationIssue`: Single validation error or warning
- `ValidationResult`: Complete validation result with errors/warnings
- `ContentHTMLParser`: Extracts structure from HTML (H1/H2/H3/images/links/text)
- `ContentRuleEngine`: Main validation engine
**Key Features:**
- HTML parsing and element extraction
- Keyword/entity counting with word boundary matching
- Universal rule validation (hard failures)
- CORA target validation (tier-aware)
- FAQ section detection
- Image alt text validation
- Detailed error/warning reporting
### 4. Config System Updates
**File:** `src/core/config.py`
Added:
- `UniversalRulesConfig` model
- `CORAValidationConfig` model
- Updated `ContentRulesConfig` to use nested structure
- Added `Config.get()` method for dot notation access (e.g., `config.get("content_rules.universal")`)
### 5. Tests
**File:** `tests/unit/test_rule_engine.py`
**21 comprehensive tests covering:**
- HTML parser functionality (6 tests)
- ValidationResult class (4 tests)
- Universal rules validation (6 tests)
- CORA target validation (4 tests)
- Fully compliant content (1 test)
**All tests passing ✓**
## Usage Example
```python
from src.generation.rule_engine import ContentRuleEngine
from src.core.config import get_config
from src.database.models import Project
# Initialize engine
config = get_config()
engine = ContentRuleEngine(config)
# Validate content
html_content = "<html>...</html>"
project = # ... load from database
result = engine.validate(html_content, project)
if result.passed:
print("Content is valid!")
else:
print(f"Errors: {len(result.errors)}")
for error in result.errors:
print(f" - {error.message}")
print(f"Warnings: {len(result.warnings)}")
for warning in result.warnings:
print(f" - {warning.message}")
# Get detailed report
report = result.to_dict()
```
## Validation Logic
### Universal Rules (All Tiers)
1. **Word Count**: Content length between min/max bounds
2. **Title**: Must contain main keyword
3. **H1**: At least one H1 with main keyword
4. **H2/H3 Minimums**: Minimum keyword counts
5. **FAQ**: Must have FAQ section
6. **Images**: Alt text contains keyword + entities
### CORA Targets (Tier-Aware)
For each CORA metric (h1_exact, h2_total, h2_entities, etc.):
- **Tier 1**: FAIL if actual < target (rounded down)
- **Tier 2+**: WARN if actual < target (but pass)
### Keyword Matching
- Case-insensitive
- Word boundary detection (avoids partial matches)
- Supports related searches and entities
## Acceptance Criteria
✅ System loads "content_rules" from master JSON configuration
✅ Validates H1 tag contains main keyword
✅ Validates at least one H2 starts with main keyword
✅ Validates other H2s incorporate entities and related searches
✅ Validates H3 tags similarly to H2s
✅ Validates FAQ section format
✅ Validates image alt text contains keyword and entities
✅ Tier-based validation (strict for Tier 1, warnings for Tier 2+)
✅ Rounds CORA averages down as configured
✅ All tests passing (21/21)
## Files Modified
1. `src/database/models.py` - Added tier field to Project
2. `master.config.json` - Restructured content_rules
3. `src/core/config.py` - Added config models and get() method
4. `src/generation/rule_engine.py` - Implemented validation engine
5. `scripts/add_tier_to_projects.py` - Database migration
6. `tests/unit/test_rule_engine.py` - Comprehensive test suite
## Next Steps (Story 2.3)
The rule engine is ready to be integrated into Story 2.3 (AI-Powered Content Generation):
- Story 2.3 will use this engine to validate AI-generated content
- Can implement retry logic if validation fails
- Engine provides detailed feedback for AI prompt refinement

25
master.config.json
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@ -28,13 +28,24 @@
}
},
"content_rules": {
"h1_keyword_required": true,
"h2_keyword_count": 1,
"h3_keyword_count": 1,
"faq_section_required": true,
"image_alt_text_required": true,
"min_content_length": 1000,
"max_content_length": 5000
"universal": {
"min_content_length": 1000,
"max_content_length": 5000,
"title_exact_match_required": true,
"h1_exact_match_required": true,
"h2_exact_match_min": 1,
"h3_exact_match_min": 1,
"faq_section_required": true,
"faq_question_restatement_required": true,
"image_alt_text_keyword_required": true,
"image_alt_text_entity_required": true
},
"cora_validation": {
"enabled": true,
"tier_1_strict": true,
"tier_2_plus_warn_only": true,
"round_averages_down": true
}
},
"templates": {
"default": "basic",

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scripts/add_tier_to_projects.py 100644
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"""
Database migration script to add tier column to projects table
"""
import sys
from pathlib import Path
project_root = Path(__file__).parent.parent
sys.path.insert(0, str(project_root))
from sqlalchemy import text
from src.database.session import get_session
def main():
"""Add tier column to projects table"""
session = next(get_session())
try:
session.execute(
text("ALTER TABLE projects ADD COLUMN tier INTEGER NOT NULL DEFAULT 1")
)
session.execute(
text("CREATE INDEX ix_projects_tier ON projects (tier)")
)
session.commit()
print("Successfully added tier column to projects table")
except Exception as e:
session.rollback()
if "duplicate column name" in str(e).lower() or "already exists" in str(e).lower():
print("Tier column already exists")
else:
print(f"Error adding tier column: {e}")
raise
finally:
session.close()
if __name__ == "__main__":
main()

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src/core/config.py
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@ -27,14 +27,29 @@ class AIServiceConfig(BaseModel):
available_models: Dict[str, str] = Field(default_factory=dict)
class ContentRulesConfig(BaseModel):
h1_keyword_required: bool = True
h2_keyword_count: int = 1
h3_keyword_count: int = 1
faq_section_required: bool = True
image_alt_text_required: bool = True
class UniversalRulesConfig(BaseModel):
min_content_length: int = 1000
max_content_length: int = 5000
title_exact_match_required: bool = True
h1_exact_match_required: bool = True
h2_exact_match_min: int = 1
h3_exact_match_min: int = 1
faq_section_required: bool = True
faq_question_restatement_required: bool = True
image_alt_text_keyword_required: bool = True
image_alt_text_entity_required: bool = True
class CORAValidationConfig(BaseModel):
enabled: bool = True
tier_1_strict: bool = True
tier_2_plus_warn_only: bool = True
round_averages_down: bool = True
class ContentRulesConfig(BaseModel):
universal: UniversalRulesConfig
cora_validation: CORAValidationConfig
class TemplateConfig(BaseModel):
@ -84,6 +99,23 @@ class Config(BaseModel):
interlinking: InterlinkingConfig
logging: LoggingConfig
api: APIConfig
def get(self, key: str, default: Any = None) -> Any:
"""Get config value using dot notation (e.g., 'content_rules.universal')"""
try:
parts = key.split('.')
value = self
for part in parts:
if hasattr(value, part):
value = getattr(value, part)
else:
return default
if isinstance(value, BaseModel):
return value.model_dump()
return value
except Exception:
return default
class ConfigManager:

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src/database/models.py
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@ -70,6 +70,7 @@ class Project(Base):
user_id: Mapped[int] = mapped_column(Integer, ForeignKey('users.id'), nullable=False, index=True)
name: Mapped[str] = mapped_column(String(255), nullable=False)
main_keyword: Mapped[str] = mapped_column(String(255), nullable=False, index=True)
tier: Mapped[int] = mapped_column(Integer, nullable=False, default=1, index=True)
word_count: Mapped[int] = mapped_column(Integer, nullable=False, default=1250)
term_frequency: Mapped[int] = mapped_column(Integer, nullable=False, default=3)

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src/generation/rule_engine.py
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@ -1 +1,337 @@
# Content validation rules
"""
Content validation rule engine for CORA-compliant HTML generation
"""
from dataclasses import dataclass, field
from typing import Dict, List, Optional, Any
from html.parser import HTMLParser
import re
from src.core.config import Config
from src.database.models import Project
@dataclass
class ValidationIssue:
"""Single validation issue (error or warning)"""
rule_name: str
severity: str
message: str
expected: Optional[Any] = None
actual: Optional[Any] = None
@dataclass
class ValidationResult:
"""Result of content validation"""
passed: bool
errors: List[ValidationIssue] = field(default_factory=list)
warnings: List[ValidationIssue] = field(default_factory=list)
def add_error(self, rule_name: str, message: str, expected: Any = None, actual: Any = None):
self.errors.append(ValidationIssue(rule_name, "error", message, expected, actual))
self.passed = False
def add_warning(self, rule_name: str, message: str, expected: Any = None, actual: Any = None):
self.warnings.append(ValidationIssue(rule_name, "warning", message, expected, actual))
def to_dict(self) -> Dict:
return {
"passed": self.passed,
"errors": [
{
"rule": e.rule_name,
"severity": e.severity,
"message": e.message,
"expected": e.expected,
"actual": e.actual
} for e in self.errors
],
"warnings": [
{
"rule": w.rule_name,
"severity": w.severity,
"message": w.message,
"expected": w.expected,
"actual": w.actual
} for w in self.warnings
]
}
class ContentHTMLParser(HTMLParser):
"""HTML parser to extract structure and content for validation"""
def __init__(self):
super().__init__()
self.title: Optional[str] = None
self.meta_description: Optional[str] = None
self.h1_tags: List[str] = []
self.h2_tags: List[str] = []
self.h3_tags: List[str] = []
self.images: List[Dict[str, str]] = []
self.links: List[Dict[str, str]] = []
self.text_content: str = ""
self._current_tag: Optional[str] = None
self._current_data: List[str] = []
self._in_title = False
self._in_h1 = False
self._in_h2 = False
self._in_h3 = False
def handle_starttag(self, tag: str, attrs: List[tuple]):
self._current_tag = tag
attrs_dict = dict(attrs)
if tag == "title":
self._in_title = True
self._current_data = []
elif tag == "meta" and attrs_dict.get("name") == "description":
self.meta_description = attrs_dict.get("content", "")
elif tag == "h1":
self._in_h1 = True
self._current_data = []
elif tag == "h2":
self._in_h2 = True
self._current_data = []
elif tag == "h3":
self._in_h3 = True
self._current_data = []
elif tag == "img":
self.images.append({
"src": attrs_dict.get("src", ""),
"alt": attrs_dict.get("alt", "")
})
elif tag == "a":
self.links.append({
"href": attrs_dict.get("href", ""),
"text": ""
})
def handle_endtag(self, tag: str):
if tag == "title" and self._in_title:
self.title = "".join(self._current_data).strip()
self._in_title = False
elif tag == "h1" and self._in_h1:
self.h1_tags.append("".join(self._current_data).strip())
self._in_h1 = False
elif tag == "h2" and self._in_h2:
self.h2_tags.append("".join(self._current_data).strip())
self._in_h2 = False
elif tag == "h3" and self._in_h3:
self.h3_tags.append("".join(self._current_data).strip())
self._in_h3 = False
self._current_tag = None
def handle_data(self, data: str):
if self._in_title or self._in_h1 or self._in_h2 or self._in_h3:
self._current_data.append(data)
if self._current_tag == "a" and self.links:
self.links[-1]["text"] += data
if self._current_tag not in ["script", "style", "head"]:
self.text_content += data
class ContentRuleEngine:
"""Validates HTML content against universal rules and CORA targets"""
def __init__(self, config: Config):
self.config = config
self.universal_rules = config.get("content_rules.universal", {})
self.cora_config = config.get("content_rules.cora_validation", {})
def validate(self, html_content: str, project: Project) -> ValidationResult:
"""
Validate HTML content against all rules
Args:
html_content: Generated HTML content
project: Project with CORA targets
Returns:
ValidationResult with errors and warnings
"""
result = ValidationResult(passed=True)
parser = ContentHTMLParser()
parser.feed(html_content)
self._validate_universal_rules(parser, project, result)
if self.cora_config.get("enabled", True):
self._validate_cora_targets(parser, project, result)
return result
def _validate_universal_rules(self, parser: ContentHTMLParser, project: Project, result: ValidationResult):
"""Validate universal hard rules that apply to all content"""
word_count = len(parser.text_content.split())
min_length = self.universal_rules.get("min_content_length", 0)
max_length = self.universal_rules.get("max_content_length", float('inf'))
if word_count < min_length:
result.add_error(
"min_content_length",
f"Content is too short",
expected=f">={min_length} words",
actual=f"{word_count} words"
)
if word_count > max_length:
result.add_error(
"max_content_length",
f"Content is too long",
expected=f"<={max_length} words",
actual=f"{word_count} words"
)
if self.universal_rules.get("title_exact_match_required", False):
if not parser.title or not self._contains_keyword(parser.title, project.main_keyword):
result.add_error(
"title_exact_match_required",
"Title must contain main keyword",
expected=project.main_keyword,
actual=parser.title or "(no title)"
)
if self.universal_rules.get("h1_exact_match_required", False):
if not parser.h1_tags or not any(self._contains_keyword(h1, project.main_keyword) for h1 in parser.h1_tags):
result.add_error(
"h1_exact_match_required",
"At least one H1 must contain main keyword",
expected=project.main_keyword,
actual=parser.h1_tags
)
h2_min = self.universal_rules.get("h2_exact_match_min", 0)
h2_with_keyword = sum(1 for h2 in parser.h2_tags if self._contains_keyword(h2, project.main_keyword))
if h2_with_keyword < h2_min:
result.add_error(
"h2_exact_match_min",
f"Not enough H2 tags with main keyword",
expected=f">={h2_min}",
actual=h2_with_keyword
)
h3_min = self.universal_rules.get("h3_exact_match_min", 0)
h3_with_keyword = sum(1 for h3 in parser.h3_tags if self._contains_keyword(h3, project.main_keyword))
if h3_with_keyword < h3_min:
result.add_error(
"h3_exact_match_min",
f"Not enough H3 tags with main keyword",
expected=f">={h3_min}",
actual=h3_with_keyword
)
if self.universal_rules.get("faq_section_required", False):
if not self._has_faq_section(parser.h2_tags, parser.h3_tags):
result.add_error(
"faq_section_required",
"Content must include an FAQ section"
)
if self.universal_rules.get("image_alt_text_keyword_required", False):
for img in parser.images:
if not self._contains_keyword(img.get("alt", ""), project.main_keyword):
result.add_error(
"image_alt_text_keyword_required",
f"Image alt text missing main keyword",
expected=project.main_keyword,
actual=img.get("alt", "(no alt)")
)
if self.universal_rules.get("image_alt_text_entity_required", False) and project.entities:
for img in parser.images:
alt_text = img.get("alt", "")
has_entity = any(self._contains_keyword(alt_text, entity) for entity in project.entities)
if not has_entity:
result.add_error(
"image_alt_text_entity_required",
f"Image alt text missing entities",
expected=f"One of: {project.entities[:3]}",
actual=alt_text or "(no alt)"
)
def _validate_cora_targets(self, parser: ContentHTMLParser, project: Project, result: ValidationResult):
"""Validate content against CORA-specific targets"""
is_tier_1 = project.tier == 1
round_down = self.cora_config.get("round_averages_down", True)
counts = self._count_keyword_entities(parser, project)
checks = [
("h1_exact", counts["h1_exact"], project.h1_exact, "H1 tags with exact keyword match"),
("h1_related_search", counts["h1_related_search"], project.h1_related_search, "H1 tags with related searches"),
("h1_entities", counts["h1_entities"], project.h1_entities, "H1 tags with entities"),
("h2_total", len(parser.h2_tags), project.h2_total, "Total H2 tags"),
("h2_exact", counts["h2_exact"], project.h2_exact, "H2 tags with exact keyword match"),
("h2_related_search", counts["h2_related_search"], project.h2_related_search, "H2 tags with related searches"),
("h2_entities", counts["h2_entities"], project.h2_entities, "H2 tags with entities"),
("h3_total", len(parser.h3_tags), project.h3_total, "Total H3 tags"),
("h3_exact", counts["h3_exact"], project.h3_exact, "H3 tags with exact keyword match"),
("h3_related_search", counts["h3_related_search"], project.h3_related_search, "H3 tags with related searches"),
("h3_entities", counts["h3_entities"], project.h3_entities, "H3 tags with entities"),
]
for rule_name, actual, target, description in checks:
if target is None:
continue
expected = int(target) if round_down else round(target)
if actual < expected:
message = f"{description} below CORA target"
if is_tier_1:
result.add_error(rule_name, message, expected=expected, actual=actual)
else:
result.add_warning(rule_name, message, expected=expected, actual=actual)
def _count_keyword_entities(self, parser: ContentHTMLParser, project: Project) -> Dict[str, int]:
"""Count occurrences of keywords, entities, and related searches in headings"""
entities = project.entities or []
related_searches = project.related_searches or []
return {
"h1_exact": sum(1 for h1 in parser.h1_tags if self._contains_keyword(h1, project.main_keyword)),
"h1_related_search": sum(1 for h1 in parser.h1_tags if self._contains_any(h1, related_searches)),
"h1_entities": sum(1 for h1 in parser.h1_tags if self._contains_any(h1, entities)),
"h2_exact": sum(1 for h2 in parser.h2_tags if self._contains_keyword(h2, project.main_keyword)),
"h2_related_search": sum(1 for h2 in parser.h2_tags if self._contains_any(h2, related_searches)),
"h2_entities": sum(1 for h2 in parser.h2_tags if self._contains_any(h2, entities)),
"h3_exact": sum(1 for h3 in parser.h3_tags if self._contains_keyword(h3, project.main_keyword)),
"h3_related_search": sum(1 for h3 in parser.h3_tags if self._contains_any(h3, related_searches)),
"h3_entities": sum(1 for h3 in parser.h3_tags if self._contains_any(h3, entities)),
}
def _contains_keyword(self, text: str, keyword: str) -> bool:
"""Check if text contains keyword (case-insensitive, word boundary)"""
if not text or not keyword:
return False
pattern = r'\b' + re.escape(keyword.lower()) + r'\b'
return bool(re.search(pattern, text.lower()))
def _contains_any(self, text: str, terms: List[str]) -> bool:
"""Check if text contains any of the terms"""
if not text or not terms:
return False
return any(self._contains_keyword(text, term) for term in terms)
def _has_faq_section(self, h2_tags: List[str], h3_tags: List[str]) -> bool:
"""Check if content has an FAQ section"""
faq_patterns = [r'\bfaq\b', r'\bfrequently asked questions\b', r'\bq&a\b', r'\bquestions\b']
for h2 in h2_tags:
if any(re.search(pattern, h2.lower()) for pattern in faq_patterns):
return True
for h3 in h3_tags:
if any(re.search(pattern, h3.lower()) for pattern in faq_patterns):
return True
return False

451
tests/unit/test_rule_engine.py 100644
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@ -0,0 +1,451 @@
"""
Unit tests for content rule engine
"""
import pytest
from unittest.mock import Mock
from src.generation.rule_engine import (
ContentRuleEngine,
ContentHTMLParser,
ValidationResult,
ValidationIssue
)
from src.database.models import Project
from src.core.config import Config
@pytest.fixture
def mock_config():
"""Mock configuration for tests"""
config = Mock()
config.get = Mock(side_effect=lambda key, default={}: {
"content_rules.universal": {
"min_content_length": 1000,
"max_content_length": 5000,
"title_exact_match_required": True,
"h1_exact_match_required": True,
"h2_exact_match_min": 1,
"h3_exact_match_min": 1,
"faq_section_required": True,
"image_alt_text_keyword_required": True,
"image_alt_text_entity_required": True
},
"content_rules.cora_validation": {
"enabled": True,
"tier_1_strict": True,
"tier_2_plus_warn_only": True,
"round_averages_down": True
}
}.get(key, default))
return config
@pytest.fixture
def sample_project():
"""Sample project with CORA data"""
project = Mock(spec=Project)
project.id = 1
project.main_keyword = "shaft machining"
project.tier = 1
project.entities = ["CNC", "lathe", "precision"]
project.related_searches = ["shaft machining process", "machining techniques"]
project.h1_exact = 1
project.h1_related_search = 0
project.h1_entities = 1
project.h2_total = 5
project.h2_exact = 1
project.h2_related_search = 2
project.h2_entities = 2
project.h3_total = 8
project.h3_exact = 1
project.h3_related_search = 3
project.h3_entities = 3
return project
class TestContentHTMLParser:
"""Tests for HTML parser"""
def test_parse_title(self):
html = "<html><head><title>Shaft Machining Guide</title></head></html>"
parser = ContentHTMLParser()
parser.feed(html)
assert parser.title == "Shaft Machining Guide"
def test_parse_meta_description(self):
html = '<html><head><meta name="description" content="Complete guide to shaft machining"></head></html>'
parser = ContentHTMLParser()
parser.feed(html)
assert parser.meta_description == "Complete guide to shaft machining"
def test_parse_headings(self):
html = """
<html><body>
<h1>Main Heading about Shaft Machining</h1>
<h2>Understanding CNC</h2>
<h2>Shaft Machining Process</h2>
<h3>What is a lathe?</h3>
<h3>Precision techniques</h3>
<h3>FAQ about shaft machining</h3>
</body></html>
"""
parser = ContentHTMLParser()
parser.feed(html)
assert len(parser.h1_tags) == 1
assert "Shaft Machining" in parser.h1_tags[0]
assert len(parser.h2_tags) == 2
assert len(parser.h3_tags) == 3
def test_parse_images(self):
html = """
<html><body>
<img src="image1.jpg" alt="Shaft machining with CNC lathe">
<img src="image2.jpg" alt="Precision tools">
</body></html>
"""
parser = ContentHTMLParser()
parser.feed(html)
assert len(parser.images) == 2
assert parser.images[0]["alt"] == "Shaft machining with CNC lathe"
assert parser.images[1]["alt"] == "Precision tools"
def test_parse_links(self):
html = """
<html><body>
<a href="/home">Home Page</a>
<a href="/article">Related Article</a>
</body></html>
"""
parser = ContentHTMLParser()
parser.feed(html)
assert len(parser.links) == 2
assert parser.links[0]["href"] == "/home"
assert "Home Page" in parser.links[0]["text"]
def test_parse_text_content(self):
html = """
<html><body>
<h1>Title</h1>
<p>This is some content about shaft machining and CNC operations.</p>
<p>More content here with precision lathe work.</p>
</body></html>
"""
parser = ContentHTMLParser()
parser.feed(html)
assert "shaft machining" in parser.text_content.lower()
assert "CNC" in parser.text_content
assert len(parser.text_content.split()) > 10
class TestValidationResult:
"""Tests for ValidationResult class"""
def test_initial_state(self):
result = ValidationResult(passed=True)
assert result.passed is True
assert len(result.errors) == 0
assert len(result.warnings) == 0
def test_add_error(self):
result = ValidationResult(passed=True)
result.add_error("test_rule", "Test error", expected=5, actual=3)
assert result.passed is False
assert len(result.errors) == 1
assert result.errors[0].rule_name == "test_rule"
assert result.errors[0].severity == "error"
def test_add_warning(self):
result = ValidationResult(passed=True)
result.add_warning("test_rule", "Test warning", expected=5, actual=4)
assert result.passed is True
assert len(result.warnings) == 1
assert result.warnings[0].severity == "warning"
def test_to_dict(self):
result = ValidationResult(passed=False)
result.add_error("rule1", "Error message", expected=5, actual=3)
result.add_warning("rule2", "Warning message", expected=10, actual=8)
data = result.to_dict()
assert data["passed"] is False
assert len(data["errors"]) == 1
assert len(data["warnings"]) == 1
assert data["errors"][0]["rule"] == "rule1"
assert data["warnings"][0]["rule"] == "rule2"
class TestUniversalRules:
"""Tests for universal rule validation"""
def test_content_length_validation(self, mock_config, sample_project):
engine = ContentRuleEngine(mock_config)
short_html = "<html><body><h1>Shaft machining</h1><p>Short content.</p></body></html>"
result = engine.validate(short_html, sample_project)
assert not result.passed
assert any("too short" in e.message for e in result.errors)
def test_title_keyword_required(self, mock_config, sample_project):
engine = ContentRuleEngine(mock_config)
html_without_keyword = "<html><head><title>Generic Title</title></head><body>" + "word " * 1500 + "</body></html>"
result = engine.validate(html_without_keyword, sample_project)
assert any("title" in e.rule_name.lower() for e in result.errors)
def test_h1_keyword_required(self, mock_config, sample_project):
engine = ContentRuleEngine(mock_config)
html = """
<html>
<head><title>Shaft Machining Guide</title></head>
<body>
<h1>Generic Heading</h1>
<p>""" + "word " * 1500 + """</p>
</body>
</html>
"""
result = engine.validate(html, sample_project)
assert any("h1" in e.rule_name.lower() for e in result.errors)
def test_h2_keyword_minimum(self, mock_config, sample_project):
engine = ContentRuleEngine(mock_config)
html = """
<html>
<head><title>Shaft Machining Guide</title></head>
<body>
<h1>Shaft Machining Basics</h1>
<h2>Generic Topic</h2>
<p>""" + "word " * 1500 + """</p>
</body>
</html>
"""
result = engine.validate(html, sample_project)
assert any("h2_exact_match_min" in e.rule_name for e in result.errors)
def test_faq_section_required(self, mock_config, sample_project):
engine = ContentRuleEngine(mock_config)
html = """
<html>
<head><title>Shaft Machining Guide</title></head>
<body>
<h1>Shaft Machining Basics</h1>
<h2>Shaft Machining Process</h2>
<p>""" + "word " * 1500 + """</p>
</body>
</html>
"""
result = engine.validate(html, sample_project)
assert any("faq" in e.rule_name.lower() for e in result.errors)
def test_image_alt_text_validation(self, mock_config, sample_project):
engine = ContentRuleEngine(mock_config)
html = """
<html>
<head><title>Shaft Machining Guide</title></head>
<body>
<h1>Shaft Machining Basics</h1>
<h2>FAQ about shaft machining</h2>
<h2>Shaft Machining Techniques</h2>
<h3>What is shaft machining?</h3>
<img src="test.jpg" alt="Generic image">
<p>""" + "word " * 1500 + """</p>
</body>
</html>
"""
result = engine.validate(html, sample_project)
assert any("image_alt_text" in e.rule_name for e in result.errors)
class TestCORAValidation:
"""Tests for CORA-specific validation"""
def test_tier_1_strict_validation(self, mock_config, sample_project):
engine = ContentRuleEngine(mock_config)
sample_project.tier = 1
sample_project.h2_total = 5
html = """
<html>
<head><title>Shaft Machining Guide</title></head>
<body>
<h1>Shaft Machining with CNC</h1>
<h2>Shaft Machining Process</h2>
<h2>Understanding CNC</h2>
<h3>What is shaft machining?</h3>
<h3>FAQ</h3>
<img src="test.jpg" alt="Shaft machining with CNC lathe">
<p>""" + "word " * 1500 + """</p>
</body>
</html>
"""
result = engine.validate(html, sample_project)
h2_errors = [e for e in result.errors if "h2_total" in e.rule_name]
assert len(h2_errors) > 0
assert h2_errors[0].expected == 5
assert h2_errors[0].actual == 2
def test_tier_2_warning_only(self, mock_config, sample_project):
engine = ContentRuleEngine(mock_config)
sample_project.tier = 2
sample_project.h2_total = 5
html = """
<html>
<head><title>Shaft Machining Guide</title></head>
<body>
<h1>Shaft Machining with CNC</h1>
<h2>Shaft Machining Process</h2>
<h2>Understanding CNC</h2>
<h3>What is shaft machining?</h3>
<h3>FAQ</h3>
<img src="test.jpg" alt="Shaft machining with CNC lathe">
<p>""" + "word " * 1500 + """</p>
</body>
</html>
"""
result = engine.validate(html, sample_project)
h2_warnings = [w for w in result.warnings if "h2_total" in w.rule_name]
assert len(h2_warnings) > 0
h2_errors = [e for e in result.errors if "h2_total" in e.rule_name]
assert len(h2_errors) == 0
def test_keyword_entity_counting(self, mock_config, sample_project):
engine = ContentRuleEngine(mock_config)
html = """
<html>
<head><title>Shaft Machining Guide</title></head>
<body>
<h1>Shaft Machining Basics</h1>
<h2>Shaft Machining Process</h2>
<h2>Understanding CNC Operations</h2>
<h2>Working with Precision Lathe</h2>
<h3>What is shaft machining?</h3>
<h3>CNC Techniques</h3>
<h3>FAQ</h3>
<img src="test.jpg" alt="Shaft machining with CNC">
<p>""" + "word " * 1500 + """</p>
</body>
</html>
"""
parser = ContentHTMLParser()
parser.feed(html)
counts = engine._count_keyword_entities(parser, sample_project)
assert counts["h1_exact"] == 1
assert counts["h2_exact"] == 1
assert counts["h2_entities"] >= 2
assert counts["h3_exact"] == 1
def test_round_averages_down(self, mock_config, sample_project):
engine = ContentRuleEngine(mock_config)
sample_project.h2_total = 5.6
html = """
<html>
<head><title>Shaft Machining Guide</title></head>
<body>
<h1>Shaft Machining with CNC</h1>
<h2>Shaft Machining Process</h2>
<h2>Understanding CNC</h2>
<h2>Lathe Operations</h2>
<h2>Precision Work</h2>
<h2>Best Practices</h2>
<h3>What is shaft machining?</h3>
<h3>FAQ</h3>
<img src="test.jpg" alt="Shaft machining with CNC">
<p>""" + "word " * 1500 + """</p>
</body>
</html>
"""
result = engine.validate(html, sample_project)
h2_issues = [e for e in result.errors if "h2_total" in e.rule_name]
if h2_issues:
assert h2_issues[0].expected == 5
class TestValidContent:
"""Tests for content that should pass validation"""
def test_fully_compliant_content(self, mock_config, sample_project):
engine = ContentRuleEngine(mock_config)
html = """
<html>
<head><title>Complete Guide to Shaft Machining</title></head>
<body>
<h1>Shaft Machining: CNC Operations</h1>
<h2>Shaft Machining Process Explained</h2>
<p>Content about the main process...</p>
<h2>Understanding CNC Technology</h2>
<p>More content...</p>
<h2>Working with Precision Lathe</h2>
<p>Additional information...</p>
<h2>Shaft Machining Techniques</h2>
<p>Techniques details...</p>
<h2>Best Practices in CNC</h2>
<p>Best practices...</p>
<h3>What is shaft machining?</h3>
<p>Definition and explanation...</p>
<h3>CNC Lathe Operations</h3>
<p>Operations details...</p>
<h3>Precision Techniques</h3>
<p>Techniques information...</p>
<h3>Shaft Machining Process Guide</h3>
<p>Process details...</p>
<h3>Understanding Machining Techniques</h3>
<p>Techniques overview...</p>
<h3>CNC Setup and Shaft Machining Process</h3>
<p>Setup instructions...</p>
<h3>Lathe Maintenance for Machining Techniques</h3>
<p>Maintenance tips...</p>
<h3>FAQ: Common Questions about Shaft Machining</h3>
<p>Frequently asked questions...</p>
<img src="image1.jpg" alt="Shaft machining with CNC lathe">
<img src="image2.jpg" alt="Precision shaft machining setup">
<p>""" + " ".join(["shaft machining process details and information"] * 250) + """</p>
</body>
</html>
"""
result = engine.validate(html, sample_project)
assert result.passed is True
assert len(result.errors) == 0