updates: module-level constants, logging, groupby comprehension

Author: Yeeyash

__init__.py

@@ -0,0 +1,146 @@
+"""
+Automated Bug Triage Tool
+This script scans markdown bug reports, classifies them by severity based on
+keywords, and generates a summarized triage report in Markdown format.
+"""
+
+import glob
+import logging
+import os
+from collections import defaultdict
+from datetime import UTC, datetime
+from pathlib import Path
+
+# Configuration: Adjust these paths based on your local environment
+BASE_DIR = Path(__file__).parent
+BUG_PATH = str(BASE_DIR / "production" / "qa" / "bugs" / "*.md")
+OUTPUT_PATH = str(BASE_DIR / "production" / "qa")
+
+SEVERITY_KEYWORDS: dict[str, list[str]] = {
+    "S1": ["crash", "data loss", "cannot start", "fatal"],
+    "S2": ["broken", "not working", "fail"],
+    "S3": ["slow", "incorrect", "glitch"],
+}
+
+logger = logging.getLogger(__name__)
+
+
+def classify_severity(content: str) -> str:
+    """
+    Classifies bug severity based on specific keywords found in the content.
+    Returns S1 (Critical) through S4 (Minor).
+    >>> classify_severity("The application had a fatal crash on startup.")
+    'S1'
+    >>> classify_severity("The UI is a bit slow today.")
+    'S3'
+    """
+    content = content.lower()
+    for severity, keywords in SEVERITY_KEYWORDS.items():
+        if any(k in content for k in keywords):
+            return severity
+    return "S4"
+
+
+def classify_priority(severity: str) -> str:
+    """
+    Maps the technical severity level to a business priority level.
+    >>> classify_priority("S1")
+    'P1'
+    >>> classify_priority("S4")
+    'P4'
+    """
+    priority_map = {"S1": "P1", "S2": "P2", "S3": "P3"}
+    return priority_map.get(severity, "P4")
+
+
+def read_bugs() -> list[dict]:
+    """
+    Reads all markdown files in the BUG_PATH and extracts metadata.
+    >>> read_bugs()
+    []
+    """
+    files = glob.glob(BUG_PATH)
+    bugs = []
+
+    for i, file_path in enumerate(sorted(files)):
+        try:
+            with open(file_path, encoding="utf-8") as f:
+                content = f.read()
+
+            severity = classify_severity(content)
+            priority = classify_priority(severity)
+
+            bugs.append({
+                "id": f"BUG-{i+1:03}",
+                "file": file_path,
+                "severity": severity,
+                "priority": priority,
+                "summary": content.strip().split("\n")[0][:80]
+            })
+        except OSError as e:
+            logger.warning("Could not read file %s: %s", file_path, e)
+
+    return bugs
+
+
+def generate_report(bugs: list[dict]) -> None:
+    """
+    Groups bugs by priority and writes a summarized Markdown report.
+    >>> generate_report([])
+    ❌ No bugs to report.
+    """
+    if not bugs:
+        print("❌ No bugs to report.")
+        return
+
+    date = datetime.now(UTC).strftime("%Y-%m-%d")
+
+    if not os.path.exists(OUTPUT_PATH):
+        os.makedirs(OUTPUT_PATH)
+
+    output_file = os.path.join(OUTPUT_PATH, f"bug-triage-{date}.md")
+
+    grouped: defaultdict[str, list[dict]] = defaultdict(list)
+    for b in bugs:
+        grouped[b["priority"]].append(b)
+
+    p1, p2, p3, p4 = grouped["P1"], grouped["P2"], grouped["P3"], grouped["P4"]
+
+    report_content = [
+        "# Bug Triage Report",
+        f"**Date**: {date}  ",
+        f"**Open bugs processed**: {len(bugs)}",
+        "\n---\n",
+        "## Triage Summary\n",
+        "| Priority | Count |",
+        "|----------|-------|",
+        f"| P1       | {len(p1)} |",
+        f"| P2       | {len(p2)} |",
+        f"| P3       | {len(p3)} |",
+        f"| P4       | {len(p4)} |",
+        "\n---\n",
+        "## P1 Bugs (Critical)"
+    ]
+
+    for b in p1:
+        report_content.append(f"- {b['id']} | {b['severity']} | {b['summary']}")
+
+    report_content.append("\n## P2 Bugs (High)")
+    for b in p2:
+        report_content.append(f"- {b['id']} | {b['severity']} | {b['summary']}")
+
+    report_content.append("\n## Backlog (P3/P4)")
+    for b in p3 + p4:
+        report_content.append(f"- {b['id']} | {b['severity']} | {b['summary']}")
+
+    with open(output_file, "w", encoding="utf-8") as f:
+        f.write("\n".join(report_content))
+
+    print(f"✅ Report successfully generated at: {output_file}")
+
+
+if __name__ == "__main__":
+    import doctest
+    doctest.testmod()
+    extracted_bugs = read_bugs()
+    generate_report(extracted_bugs)