Spaces:
Paused
Paused
File size: 10,794 Bytes
ced569b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 | """Code Quality Agent - Scores structure, complexity, dependency health, docs, tests, CI, maintainability."""
from typing import Dict, Any
from base_agent import BaseAgent, AgentOutput
class CodeQualityAgent(BaseAgent):
"""Deterministically scores code quality without LLMs."""
def __init__(self):
super().__init__("CodeQuality")
def _assess_structure(self, repo_data: Dict[str, Any]) -> Dict[str, Any]:
"""Assess repository structure quality."""
evidence = {}
size = repo_data.get("size", 0)
has_readme = repo_data.get("has_readme", False)
has_package = any([
repo_data.get("has_package_json", False),
repo_data.get("has_requirements_txt", False),
repo_data.get("has_setup_py", False),
repo_data.get("has_pyproject_toml", False),
repo_data.get("has_cargo_toml", False),
repo_data.get("has_go_mod", False)
])
has_ci = repo_data.get("has_ci", False)
has_makefile = repo_data.get("has_makefile", False)
has_dockerfile = repo_data.get("has_dockerfile", False)
evidence["size_kb"] = size
evidence["has_readme"] = has_readme
evidence["has_package_manager"] = has_package
evidence["has_ci"] = has_ci
evidence["has_makefile"] = has_makefile
evidence["has_dockerfile"] = has_dockerfile
# Structure score
structure_score = 0
if has_readme:
structure_score += 20
if has_package:
structure_score += 20
if has_ci:
structure_score += 20
if has_makefile:
structure_score += 15
if has_dockerfile:
structure_score += 15
# Size penalty (too large = complexity risk)
if size > 100000: # > 100MB
structure_score *= 0.7
elif size > 10000: # > 10MB
structure_score *= 0.85
evidence["structure_score"] = structure_score
return {
"score": structure_score,
"evidence": evidence
}
def _assess_complexity(self, repo_data: Dict[str, Any]) -> Dict[str, Any]:
"""Assess code complexity based on indirect signals."""
evidence = {}
size = repo_data.get("size", 0)
contributors = repo_data.get("contributors", 0)
open_issues = repo_data.get("open_issues", 0)
commits_last_year = repo_data.get("commits_last_year", 0)
evidence["size_kb"] = size
evidence["contributors"] = contributors
evidence["open_issues"] = open_issues
evidence["commits_last_year"] = commits_last_year
# Complexity score (lower is better for maintainability)
complexity_score = 100 # Start with best
# Size indicates complexity
if size > 100000:
complexity_score -= 40
elif size > 10000:
complexity_score -= 25
elif size > 1000:
complexity_score -= 10
# Many contributors suggests complex codebase
if contributors > 20:
complexity_score -= 20
elif contributors > 10:
complexity_score -= 10
# High issue count suggests complexity or debt
if open_issues > 100:
complexity_score -= 20
elif open_issues > 50:
complexity_score -= 10
# High commit frequency suggests active maintenance
if commits_last_year > 100:
complexity_score += 10
elif commits_last_year > 50:
complexity_score += 5
complexity_score = max(0, min(complexity_score, 100))
evidence["complexity_score"] = complexity_score
return {
"score": complexity_score,
"evidence": evidence
}
def _assess_dependency_health(self, repo_data: Dict[str, Any]) -> Dict[str, Any]:
"""Assess dependency health based on package manager presence."""
evidence = {}
has_package = any([
repo_data.get("has_package_json", False),
repo_data.get("has_requirements_txt", False),
repo_data.get("has_setup_py", False),
repo_data.get("has_pyproject_toml", False),
repo_data.get("has_cargo_toml", False),
repo_data.get("has_go_mod", False)
])
has_ci = repo_data.get("has_ci", False)
commits_last_year = repo_data.get("commits_last_year", 0)
evidence["has_package_manager"] = has_package
evidence["has_ci"] = has_ci
evidence["commits_last_year"] = commits_last_year
# Dependency health score
dep_health = 0
if has_package:
dep_health += 40
if has_ci:
dep_health += 30 # CI likely tests dependencies
if commits_last_year > 0:
dep_health += 30 # Active maintenance = updated deps
evidence["dependency_health_score"] = dep_health
return {
"score": dep_health,
"evidence": evidence
}
def _assess_documentation(self, repo_data: Dict[str, Any]) -> Dict[str, Any]:
"""Assess documentation quality."""
evidence = {}
has_readme = repo_data.get("has_readme", False)
readme_size = repo_data.get("readme_size", 0)
has_wiki = repo_data.get("has_wiki", False)
has_pages = repo_data.get("has_pages", False)
evidence["has_readme"] = has_readme
evidence["readme_size"] = readme_size
evidence["has_wiki"] = has_wiki
evidence["has_pages"] = has_pages
# Documentation score
doc_score = 0
if has_readme:
doc_score += 40
if readme_size > 1000: # Substantial README
doc_score += 20
if has_wiki:
doc_score += 20
if has_pages:
doc_score += 20
evidence["documentation_score"] = doc_score
return {
"score": doc_score,
"evidence": evidence
}
def _assess_tests(self, repo_data: Dict[str, Any]) -> Dict[str, Any]:
"""Assess test coverage based on indirect signals."""
evidence = {}
has_ci = repo_data.get("has_ci", False)
has_package = any([
repo_data.get("has_package_json", False),
repo_data.get("has_requirements_txt", False),
repo_data.get("has_setup_py", False),
repo_data.get("has_pyproject_toml", False),
repo_data.get("has_cargo_toml", False),
repo_data.get("has_go_mod", False)
])
evidence["has_ci"] = has_ci
evidence["has_package_manager"] = has_package
# Test score (proxy-based)
test_score = 0
if has_ci:
test_score += 50 # CI likely runs tests
if has_package:
test_score += 30 # Package manager enables testing
test_score += 20 # Base score for potential
evidence["test_score"] = test_score
return {
"score": test_score,
"evidence": evidence
}
def _assess_maintainability(self, repo_data: Dict[str, Any]) -> Dict[str, Any]:
"""Assess maintainability."""
evidence = {}
contributors = repo_data.get("contributors", 0)
commits_last_year = repo_data.get("commits_last_year", 0)
open_issues = repo_data.get("open_issues", 0)
is_archived = repo_data.get("archived", False)
license_key = repo_data.get("license")
evidence["contributors"] = contributors
evidence["commits_last_year"] = commits_last_year
evidence["open_issues"] = open_issues
evidence["is_archived"] = is_archived
evidence["license"] = license_key
# Maintainability score
maintainability = 0
# Active contributors
if contributors >= 1:
maintainability += 20
if contributors >= 3:
maintainability += 10
# Recent activity
if commits_last_year > 0:
maintainability += 20
if commits_last_year > 12:
maintainability += 10
# Issue backlog
if open_issues < 10:
maintainability += 20
elif open_issues < 50:
maintainability += 10
# Not archived
if not is_archived:
maintainability += 10
# Has license
if license_key:
maintainability += 10
evidence["maintainability_score"] = maintainability
return {
"score": maintainability,
"evidence": evidence
}
def analyze(self, repo_data: Dict[str, Any]) -> AgentOutput:
"""
Analyze code quality across multiple dimensions.
"""
evidence = {}
# Assess all dimensions
structure = self._assess_structure(repo_data)
complexity = self._assess_complexity(repo_data)
dep_health = self._assess_dependency_health(repo_data)
documentation = self._assess_documentation(repo_data)
tests = self._assess_tests(repo_data)
maintainability = self._assess_maintainability(repo_data)
# Store evidence
evidence["structure"] = structure["evidence"]
evidence["complexity"] = complexity["evidence"]
evidence["dependency_health"] = dep_health["evidence"]
evidence["documentation"] = documentation["evidence"]
evidence["tests"] = tests["evidence"]
evidence["maintainability"] = maintainability["evidence"]
# Calculate overall code quality score
# Weighted combination
quality_score = (
0.20 * structure["score"] +
0.15 * complexity["score"] +
0.15 * dep_health["score"] +
0.20 * documentation["score"] +
0.15 * tests["score"] +
0.15 * maintainability["score"]
)
evidence["overall_code_quality"] = quality_score
# Confidence based on data availability
required_fields = ["size", "has_readme", "has_ci", "contributors"]
completeness = sum(1 for field in required_fields if field in repo_data)
confidence = completeness / len(required_fields)
return AgentOutput(
score=round(quality_score, 2),
evidence=evidence,
confidence=confidence,
hash=""
)
|