Coverage for little_loops / cli / issues / show.py: 0%

275 statements  

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1"""ll-issues show: Display summary card for a single issue.""" 

2 

3from __future__ import annotations 

4 

5import argparse 

6import re 

7import textwrap 

8from pathlib import Path 

9from typing import TYPE_CHECKING 

10 

11from little_loops.cli.output import ( 

12 PRIORITY_COLOR, 

13 TYPE_COLOR, 

14 colorize, 

15 print_json, 

16 strip_ansi, 

17 terminal_width, 

18) 

19 

20if TYPE_CHECKING: 

21 from little_loops.config import BRConfig 

22 

23 

24_SHOW_CMD_ALIASES: dict[str, str] = { 

25 "/ll:capture-issue": "capture", 

26 "/ll:scan-codebase": "scan", 

27 "/ll:audit-architecture": "audit", 

28 "/ll:format-issue": "format", 

29} 

30 

31 

32def _source_label(discovered_by: str | None) -> str: 

33 """Return a short display label for the discovered_by frontmatter field.""" 

34 if not discovered_by: 

35 return "\u2014" 

36 return _SHOW_CMD_ALIASES.get(discovered_by, discovered_by[:7]) 

37 

38 

39def _resolve_issue_id(config: BRConfig, user_input: str) -> Path | None: 

40 """Resolve user input to an issue file path. 

41 

42 Accepts three input formats: 

43 - Numeric ID only: "518" 

44 - Type + ID: "FEAT-518" 

45 - Priority + Type + ID: "P3-FEAT-518" 

46 

47 Searches all active category directories, the completed directory, and the deferred directory. 

48 

49 Args: 

50 config: Project configuration 

51 user_input: Issue ID string in any supported format 

52 

53 Returns: 

54 Path to the matched issue file, or None if not found 

55 """ 

56 user_input = user_input.strip() 

57 

58 # Parse input to extract components 

59 numeric_id: str | None = None 

60 type_prefix: str | None = None 

61 priority: str | None = None 

62 

63 # Try P-TYPE-NNN format (e.g., P3-FEAT-518) 

64 m = re.match(r"^(P\d)-(BUG|FEAT|ENH|EPIC)-(\d+)$", user_input, re.IGNORECASE) 

65 if m: 

66 priority = m.group(1).upper() 

67 type_prefix = m.group(2).upper() 

68 numeric_id = m.group(3) 

69 else: 

70 # Try TYPE-NNN format (e.g., FEAT-518) 

71 m = re.match(r"^(BUG|FEAT|ENH|EPIC)-(\d+)$", user_input, re.IGNORECASE) 

72 if m: 

73 type_prefix = m.group(1).upper() 

74 numeric_id = m.group(2) 

75 else: 

76 # Try numeric only (e.g., 518) 

77 m = re.match(r"^(\d+)$", user_input) 

78 if m: 

79 numeric_id = m.group(1) 

80 

81 if numeric_id is None: 

82 return None 

83 

84 # Build search directories: type-scoped dirs only 

85 search_dirs: list[Path] = [] 

86 for category in config.issue_categories: 

87 search_dirs.append(config.get_issue_dir(category)) 

88 

89 # Search for matching files 

90 for search_dir in search_dirs: 

91 if not search_dir.is_dir(): 

92 continue 

93 for path in search_dir.glob(f"*-{numeric_id}-*.md"): 

94 filename = path.name 

95 # Verify type prefix if provided 

96 upper = filename.upper() 

97 if ( 

98 type_prefix 

99 and f"-{type_prefix}-" not in upper 

100 and not upper.startswith(f"{type_prefix}-") 

101 ): 

102 continue 

103 # Verify priority if provided 

104 if priority and not filename.upper().startswith(f"{priority}-"): 

105 continue 

106 return path 

107 

108 return None 

109 

110 

111def _parse_card_fields(path: Path, config: BRConfig) -> dict[str, str | None]: 

112 """Parse issue file to extract summary card fields. 

113 

114 Args: 

115 path: Path to the issue file 

116 config: Project configuration (used for relative path computation) 

117 

118 Returns: 

119 Dictionary of card fields 

120 """ 

121 from little_loops.frontmatter import parse_frontmatter 

122 

123 content = path.read_text() 

124 frontmatter = parse_frontmatter(content, coerce_types=True) 

125 filename = path.name 

126 

127 # Extract priority from filename (e.g., P3-FEAT-518-...) 

128 priority_match = re.match(r"^(P\d)-", filename) 

129 priority = priority_match.group(1) if priority_match else None 

130 

131 # Extract type and ID from filename (e.g., FEAT-518) 

132 type_id_match = re.search(r"(BUG|FEAT|ENH|EPIC)-(\d+)", filename) 

133 issue_id = f"{type_id_match.group(1)}-{type_id_match.group(2)}" if type_id_match else None 

134 

135 # Extract title from content 

136 title: str | None = None 

137 title_match = re.search(r"^#\s+[\w-]+:\s*(.+)$", content, re.MULTILINE) 

138 if title_match: 

139 title = title_match.group(1).strip() 

140 else: 

141 header_match = re.search(r"^#\s+(.+)$", content, re.MULTILINE) 

142 if header_match: 

143 title = header_match.group(1).strip() 

144 else: 

145 title = path.stem 

146 

147 # Determine status from frontmatter field 

148 raw_status = frontmatter.get("status", "open") 

149 _STATUS_DISPLAY = { 

150 "done": "Completed", 

151 "cancelled": "Cancelled", 

152 "deferred": "Deferred", 

153 "in_progress": "In Progress", 

154 "blocked": "Blocked", 

155 "open": "Open", 

156 } 

157 status = _STATUS_DISPLAY.get(str(raw_status), str(raw_status).replace("_", " ").title()) 

158 

159 # Extract optional frontmatter fields 

160 confidence = frontmatter.get("confidence_score") 

161 outcome = frontmatter.get("outcome_confidence") 

162 score_complexity = frontmatter.get("score_complexity") 

163 score_test_coverage = frontmatter.get("score_test_coverage") 

164 score_ambiguity = frontmatter.get("score_ambiguity") 

165 score_change_surface = frontmatter.get("score_change_surface") 

166 effort = frontmatter.get("effort") 

167 discovered_by = frontmatter.get("discovered_by") 

168 captured_at = frontmatter.get("captured_at") 

169 completed_at = frontmatter.get("completed_at") 

170 decision_needed_raw = frontmatter.get("decision_needed") 

171 missing_artifacts_raw = frontmatter.get("missing_artifacts") 

172 implementation_order_risk_raw = frontmatter.get("implementation_order_risk") 

173 learning_tests_raw = frontmatter.get("learning_tests_required") 

174 

175 # Source / norm / fmt fields 

176 from little_loops.issue_parser import is_formatted, is_normalized 

177 

178 source = _source_label(discovered_by) 

179 norm = "\u2713" if is_normalized(path.name) else "\u2717" 

180 fmt = "\u2713" if is_formatted(path) else "\u2717" 

181 

182 # --- New fields --- 

183 

184 # Summary: full first paragraph from ## Summary section 

185 summary: str | None = None 

186 summary_match = re.search( 

187 r"^## Summary\s*\n+(.*?)(?:\n\n|\n##|\Z)", content, re.MULTILINE | re.DOTALL 

188 ) 

189 if summary_match: 

190 text = summary_match.group(1).strip() 

191 if text: 

192 summary = text 

193 

194 # Integration file count: count items under ### Files to Modify 

195 integration_files: int | None = None 

196 ftm_match = re.search(r"^### Files to Modify\s*$", content, re.MULTILINE) 

197 if ftm_match: 

198 start = ftm_match.end() 

199 next_header = re.search(r"^#{2,3}\s+", content[start:], re.MULTILINE) 

200 section = content[start : start + next_header.start()] if next_header else content[start:] 

201 count = len(re.findall(r"^- .+", section, re.MULTILINE)) 

202 if count > 0: 

203 integration_files = count 

204 

205 # Risk: extract from ## Impact section 

206 risk: str | None = None 

207 risk_match = re.search(r"\*\*Risk\*\*:\s*(Low|Medium|High)", content, re.IGNORECASE) 

208 if risk_match: 

209 risk = risk_match.group(1).capitalize() 

210 

211 # Labels: prefer frontmatter labels: field; fall back to ## Labels body section 

212 labels: str | None = None 

213 fm_labels_raw = frontmatter.get("labels") 

214 if fm_labels_raw: 

215 if isinstance(fm_labels_raw, list): 

216 fm_label_list = [str(lb) for lb in fm_labels_raw if lb] 

217 else: 

218 fm_label_list = [lb.strip() for lb in str(fm_labels_raw).split(",") if lb.strip()] 

219 if fm_label_list: 

220 labels = ", ".join(fm_label_list) 

221 if not labels: 

222 labels_match = re.search( 

223 r"^## Labels\s*\n+(.*?)(?:\n\n|\n##|\Z)", content, re.MULTILINE | re.DOTALL 

224 ) 

225 if labels_match: 

226 found = re.findall(r"`([^`]+)`", labels_match.group(1)) 

227 if found: 

228 labels = ", ".join(found) 

229 

230 # Session log: parse ## Session Log for unique /ll:* commands with counts 

231 history: str | None = None 

232 from little_loops.session_log import count_session_commands, parse_session_log 

233 

234 distinct = parse_session_log(content) 

235 if distinct: 

236 counts = count_session_commands(content) 

237 parts = [f"{cmd} ({counts[cmd]})" if counts.get(cmd, 1) > 1 else cmd for cmd in distinct] 

238 history = ", ".join(parts) 

239 

240 # Relative path 

241 try: 

242 rel_path = str(path.relative_to(config.project_root)) 

243 except ValueError: 

244 rel_path = str(path) 

245 

246 return { 

247 "issue_id": issue_id, 

248 "title": title, 

249 "priority": priority, 

250 "status": status, 

251 "effort": str(effort) if effort is not None else None, 

252 "confidence": str(confidence) if confidence is not None else None, 

253 "outcome": str(outcome) if outcome is not None else None, 

254 "score_complexity": str(score_complexity) if score_complexity is not None else None, 

255 "score_test_coverage": str(score_test_coverage) 

256 if score_test_coverage is not None 

257 else None, 

258 "score_ambiguity": str(score_ambiguity) if score_ambiguity is not None else None, 

259 "score_change_surface": str(score_change_surface) 

260 if score_change_surface is not None 

261 else None, 

262 "summary": summary, 

263 "integration_files": str(integration_files) if integration_files is not None else None, 

264 "risk": risk, 

265 "labels": labels, 

266 "milestone": frontmatter.get("milestone") or None, 

267 "history": history, 

268 "path": rel_path, 

269 "source": source, 

270 "norm": norm, 

271 "fmt": fmt, 

272 "captured_at": str(captured_at) if captured_at is not None else None, 

273 "completed_at": str(completed_at) if completed_at is not None else None, 

274 "decision_needed": str(decision_needed_raw).lower() 

275 if decision_needed_raw is not None 

276 else None, 

277 "missing_artifacts": str(missing_artifacts_raw).lower() 

278 if missing_artifacts_raw is not None 

279 else None, 

280 "implementation_order_risk": str(implementation_order_risk_raw).lower() 

281 if implementation_order_risk_raw is not None 

282 else None, 

283 "learning_tests_required": ", ".join(str(t) for t in learning_tests_raw) 

284 if learning_tests_raw 

285 else None, 

286 } 

287 

288 

289def _ljust(text: str, width: int) -> str: 

290 """Left-justify text accounting for invisible ANSI escape codes.""" 

291 pad = max(0, width - len(strip_ansi(text))) 

292 return text + " " * pad 

293 

294 

295def _render_card(fields: dict[str, str | None]) -> str: 

296 """Render a summary card using box-drawing characters. 

297 

298 Args: 

299 fields: Dictionary of card fields from _parse_card_fields 

300 

301 Returns: 

302 Formatted card string 

303 """ 

304 # Box-drawing characters 

305 h = "\u2500" # ─ 

306 v = "\u2502" # │ 

307 tl = "\u250c" # ┌ 

308 tr = "\u2510" # ┐ 

309 bl = "\u2514" # └ 

310 br = "\u2518" # ┘ 

311 ml = "\u251c" # ├ 

312 mr = "\u2524" # ┤ 

313 

314 issue_id = fields.get("issue_id") or "???" 

315 title = fields.get("title") or "Untitled" 

316 header = f"{issue_id}: {title}" 

317 

318 # Build metadata line (plain, for width calculation) 

319 priority = fields.get("priority") 

320 status = fields.get("status") 

321 effort = fields.get("effort") 

322 risk = fields.get("risk") 

323 

324 meta_parts: list[str] = [] 

325 if priority: 

326 meta_parts.append(f"Priority: {priority}") 

327 if status: 

328 meta_parts.append(f"Status: {status}") 

329 if effort: 

330 meta_parts.append(f"Effort: {effort}") 

331 if risk: 

332 meta_parts.append(f"Risk: {risk}") 

333 meta_line = " \u2502 ".join(meta_parts) 

334 

335 # Build scores line (only if at least one score present) 

336 score_parts: list[str] = [] 

337 if fields.get("confidence"): 

338 score_parts.append(f"Confidence: {fields['confidence']}") 

339 if fields.get("outcome"): 

340 score_parts.append(f"Outcome: {fields['outcome']}") 

341 scores_line = " \u2502 ".join(score_parts) if score_parts else None 

342 

343 # Build dimension scores line (only if at least one dimension score present) 

344 dim_parts: list[str] = [] 

345 if fields.get("score_complexity"): 

346 dim_parts.append(f"Cmplx: {fields['score_complexity']}") 

347 if fields.get("score_test_coverage"): 

348 dim_parts.append(f"Tcov: {fields['score_test_coverage']}") 

349 if fields.get("score_ambiguity"): 

350 dim_parts.append(f"Ambig: {fields['score_ambiguity']}") 

351 if fields.get("score_change_surface"): 

352 dim_parts.append(f"Chsrf: {fields['score_change_surface']}") 

353 dim_scores_line = " \u2502 ".join(dim_parts) if dim_parts else None 

354 

355 # Build detail lines (source/norm/fmt, integration+labels, history) 

356 detail_lines: list[str] = [] 

357 source_parts: list[str] = [] 

358 source_val = fields.get("source") 

359 if source_val and source_val != "\u2014": 

360 source_parts.append(f"Source: {source_val}") 

361 norm_val = fields.get("norm") 

362 if norm_val: 

363 source_parts.append(f"Norm: {norm_val}") 

364 fmt_val = fields.get("fmt") 

365 if fmt_val: 

366 source_parts.append(f"Fmt: {fmt_val}") 

367 if source_parts: 

368 detail_lines.append(" \u2502 ".join(source_parts)) 

369 detail_mid_parts: list[str] = [] 

370 if fields.get("integration_files"): 

371 detail_mid_parts.append(f"Integration: {fields['integration_files']} files") 

372 if fields.get("labels"): 

373 detail_mid_parts.append(f"Labels: {fields['labels']}") 

374 if fields.get("milestone"): 

375 detail_mid_parts.append(f"Milestone: {fields['milestone']}") 

376 if detail_mid_parts: 

377 detail_lines.append(" \u2502 ".join(detail_mid_parts)) 

378 if fields.get("captured_at"): 

379 detail_lines.append(f"Captured at: {fields['captured_at']}") 

380 if fields.get("completed_at"): 

381 detail_lines.append(f"Completed at: {fields['completed_at']}") 

382 if fields.get("history"): 

383 detail_lines.append(f"History: {fields['history']}") 

384 

385 # Build path line 

386 path_line = f"Path: {fields.get('path', '???')}" 

387 

388 # Calculate structural width from non-summary content 

389 structural_lines = [header, meta_line, path_line] 

390 if scores_line: 

391 structural_lines.append(scores_line) 

392 if dim_scores_line: 

393 structural_lines.append(dim_scores_line) 

394 structural_lines.extend(detail_lines) 

395 wrap_width = max((len(line) for line in structural_lines), default=60) 

396 wrap_width = max(wrap_width, 60) # minimum content width 

397 

398 # Build summary lines — wrap to fit structural width 

399 summary_lines: list[str] = [] 

400 summary_text = fields.get("summary") 

401 if summary_text: 

402 for line in summary_text.splitlines(): 

403 if line.strip(): 

404 summary_lines.extend(textwrap.wrap(line, width=wrap_width, break_long_words=False)) 

405 else: 

406 summary_lines.append("") 

407 

408 # Final width includes wrapped summary (may exceed wrap_width for unbreakable tokens) 

409 all_lines = structural_lines + summary_lines 

410 width = max(len(line) for line in all_lines) + 2 # +2 for padding 

411 

412 # Cap width to terminal to prevent overflow 

413 width = min(width, terminal_width() - 4) 

414 

415 # Build colorized header 

416 if issue_id and "-" in issue_id: 

417 itype = issue_id.split("-")[0] 

418 colored_id = colorize(issue_id, TYPE_COLOR.get(itype, "0")) 

419 else: 

420 colored_id = issue_id 

421 colored_header = f"{colored_id}: {title}" 

422 

423 # Build colorized meta line 

424 colored_meta_parts: list[str] = [] 

425 if priority: 

426 colored_meta_parts.append( 

427 f"Priority: {colorize(priority, PRIORITY_COLOR.get(priority, '0'))}" 

428 ) 

429 if status: 

430 colored_status = colorize("Completed", "32") if status == "Completed" else status 

431 colored_meta_parts.append(f"Status: {colored_status}") 

432 if effort: 

433 colored_meta_parts.append(f"Effort: {effort}") 

434 if risk: 

435 risk_code = {"High": "38;5;208", "Medium": "33", "Low": "2"}.get(risk, "0") 

436 colored_meta_parts.append(f"Risk: {colorize(risk, risk_code)}") 

437 colored_meta_line = " \u2502 ".join(colored_meta_parts) 

438 

439 # Build card 

440 lines: list[str] = [] 

441 top_border = f"{tl}{h * width}{tr}" 

442 mid_border = f"{ml}{h * width}{mr}" 

443 bot_border = f"{bl}{h * width}{br}" 

444 

445 lines.append(top_border) 

446 lines.append(f"{v} {_ljust(colored_header, width - 1)}{v}") 

447 lines.append(mid_border) 

448 lines.append(f"{v} {_ljust(colored_meta_line, width - 1)}{v}") 

449 if scores_line: 

450 lines.append(f"{v} {scores_line:<{width - 1}}{v}") 

451 if dim_scores_line: 

452 lines.append(f"{v} {dim_scores_line:<{width - 1}}{v}") 

453 if summary_lines: 

454 lines.append(mid_border) 

455 for sl in summary_lines: 

456 lines.append(f"{v} {sl:<{width - 1}}{v}") 

457 if detail_lines: 

458 lines.append(mid_border) 

459 for dl in detail_lines: 

460 lines.append(f"{v} {dl:<{width - 1}}{v}") 

461 lines.append(mid_border) 

462 lines.append(f"{v} {path_line:<{width - 1}}{v}") 

463 lines.append(bot_border) 

464 

465 return "\n".join(lines) 

466 

467 

468def cmd_show(config: BRConfig, args: argparse.Namespace) -> int: 

469 """Display summary card for a single issue. 

470 

471 Args: 

472 config: Project configuration 

473 args: Parsed arguments with .issue_id attribute 

474 

475 Returns: 

476 Exit code (0 = success, 1 = not found) 

477 """ 

478 issue_id = args.issue_id 

479 path = _resolve_issue_id(config, issue_id) 

480 

481 if path is None: 

482 print(f"Error: Issue '{issue_id}' not found.") 

483 return 1 

484 

485 fields = _parse_card_fields(path, config) 

486 

487 if getattr(args, "json", False): 

488 print_json(fields) 

489 return 0 

490 

491 card = _render_card(fields) 

492 print(card) 

493 return 0