test(scanner): unit tests for github_trending_scanner

scripts/genome_diff.py

@@ -1,288 +0,0 @@
-#!/usr/bin/env python3
-"""
-Codebase Genome Diff — Detect structural changes between two versions.
-
-Compares two git refs (commits, branches, tags) and produces a human-readable
-report of structural changes:
-  • Added/removed/renamed files
-  • Changed functions/classes (signature modifications)
-  • New dependencies (imports, requirements, etc.)
-
-Usage:
-    python3 scripts/genome_diff.py --ref1 <commit1> --ref2 <commit2>
-    python3 scripts/genome_diff.py --ref1 main --ref2 feature-branch
-    python3 scripts/genome_diff.py --ref1 v1.0 --ref2 v2.0 --output report.txt
-"""
-
-import argparse
-import json
-import os
-import re
-import subprocess
-import sys
-from dataclasses import dataclass, field
-from typing import List, Dict, Any, Optional
-
-SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
-sys.path.insert(0, SCRIPT_DIR)
-from diff_analyzer import DiffAnalyzer, ChangeCategory
-
-
-@dataclass
-class FunctionChange:
-    file: str
-    name: str
-    kind: str  # 'function' or 'class'
-    change_type: str  # 'added' or 'removed' (simplified)
-    old_line: Optional[int] = None
-    new_line: Optional[int] = None
-
-
-@dataclass
-class DependencyChange:
-    file: str
-    module: str
-    change_type: str  # 'added' or 'removed' or 'modified'
-    line: int = 0
-
-
-@dataclass
-class GenomeDiffReport:
-    ref1: str
-    ref2: str
-    file_changes: List[Dict[str, Any]] = field(default_factory=list)
-    function_changes: List[FunctionChange] = field(default_factory=list)
-    dependency_changes: List[DependencyChange] = field(default_factory=list)
-    total_files_changed: int = 0
-    total_functions_changed: int = 0
-    total_dependencies_changed: int = 0
-
-    def to_dict(self) -> Dict[str, Any]:
-        return {
-            "ref1": self.ref1,
-            "ref2": self.ref2,
-            "summary": {
-                "files": self.total_files_changed,
-                "functions": self.total_functions_changed,
-                "dependencies": self.total_dependencies_changed,
-            },
-            "file_changes": self.file_changes,
-            "function_changes": [fc.__dict__ for fc in self.function_changes],
-            "dependency_changes": [dc.__dict__ for dc in self.dependency_changes],
-        }
-
-    def human_report(self) -> str:
-        lines = []
-        lines.append(f"Codebase Genome Diff: {self.ref1} → {self.ref2}")
-        lines.append("=" * 60)
-        lines.append(f"  Files changed: {self.total_files_changed}")
-        lines.append(f"  Functions changed: {self.total_functions_changed}")
-        lines.append(f"  Dependencies changed: {self.total_dependencies_changed}")
-        lines.append("")
-
-        for fc in self.file_changes:
-            kind = []
-            if fc.get('is_new'):
-                kind.append("NEW")
-            if fc.get('is_deleted'):
-                kind.append("DELETED")
-            if fc.get('is_renamed'):
-                kind.append("RENAMED")
-            if fc.get('is_binary'):
-                kind.append("BINARY")
-            kind_str = f" [{', '.join(kind)}]" if kind else ""
-            lines.append(f"  {fc['path']}{kind_str}  (+{fc['added_lines']}/-{fc['deleted_lines']})")
-        lines.append("")
-
-        for fc in self.function_changes:
-            op = {'added': '+', 'removed': '-', 'modified': '~'}.get(fc.change_type, '?')
-            lines.append(f"  [{op}] {fc.file}: {fc.kind} '{fc.name}'")
-        lines.append("")
-
-        for dc in self.dependency_changes:
-            op = '+' if dc.change_type == 'added' else '-'
-            lines.append(f"  [{op}] {dc.file}: {dc.module}")
-        lines.append("")
-
-        return "\n".join(lines)
-
-
-def run_git_diff(ref1: str, ref2: str) -> str:
-    result = subprocess.run(
-        ['git', 'diff', '--unified=0', f'{ref1}...{ref2}'],
-        capture_output=True, text=True, cwd=SCRIPT_DIR
-    )
-    if result.returncode not in (0, 1):
-        print(f"git diff failed: {result.stderr}", file=sys.stderr)
-        sys.exit(1)
-    return result.stdout
-
-
-def extract_function_changes(diff_text: str) -> List[FunctionChange]:
-    changes: List[FunctionChange] = []
-    pattern = re.compile(r'^([+\-])\s*(def|class)\s+(\w+)', re.MULTILINE)
-    hunk_header_re = re.compile(r'^@@\s+-(\d+)(?:,(\d+))?\s+\+(\d+)(?:,(\d+))?\s+@@')
-    current_old_line: Optional[int] = None
-    current_new_line: Optional[int] = None
-
-    for line in diff_text.split('\n'):
-        hdr = hunk_header_re.match(line)
-        if hdr:
-            current_old_line = int(hdr.group(1))
-            current_new_line = int(hdr.group(3))
-            continue
-        m = pattern.match(line)
-        if m:
-            op = m.group(1)
-            kind = m.group(2)
-            name = m.group(3)
-            change_type = "added" if op == '+' else "removed"
-            line_num = current_new_line if change_type == "added" else current_old_line
-            changes.append(FunctionChange(
-                file="<unknown>",
-                name=name,
-                kind=kind,
-                change_type=change_type,
-                new_line=line_num if change_type == "added" else None,
-                old_line=line_num if change_type == "removed" else None,
-            ))
-            # Advance line counters heuristically
-            if op == '-':
-                if current_old_line is not None:
-                    current_old_line += 1
-            elif op == '+':
-                if current_new_line is not None:
-                    current_new_line += 1
-        elif line.startswith(' '):
-            if current_old_line is not None:
-                current_old_line += 1
-            if current_new_line is not None:
-                current_new_line += 1
-        # lines starting with other prefixes (like \\ No newline) ignored
-    return changes
-
-
-def extract_dependency_changes(diff_text: str, analyzer: DiffAnalyzer) -> List[DependencyChange]:
-    changes: List[DependencyChange] = []
-    import_pattern = re.compile(
-        r'^([+\-])\s*(?:import\s+([\w\.]+)|from\s+([\w\.]+)\s+import)',
-        re.MULTILINE
-    )
-    file_diffs = analyzer._split_files(diff_text)
-    for file_diff in file_diffs:
-        file_match = re.search(r'^diff --git a/.*? b/(.*?)$', file_diff, re.MULTILINE)
-        if not file_match:
-            continue
-        filepath = file_match.group(1)
-
-        # Scan each line for import changes
-        for line in file_diff.split('\n'):
-            m = import_pattern.match(line)
-            if m:
-                change_type = "added" if m.group(1) == '+' else "removed"
-                module = m.group(2) or m.group(3)
-                changes.append(DependencyChange(
-                    file=filepath,
-                    module=module,
-                    change_type=change_type,
-                    line=0
-                ))
-
-        # Detect if this file is a dependency manifest
-        req_file_pattern = re.compile(
-            r'^[\+\-].*?(requirements(.*?)\.txt|pyproject\.toml|setup\.py|Pipfile)'
-        )
-        if any(req_file_pattern.match(line) for line in file_diff.split('\n')):
-            if not any(c.file == filepath and c.module == "<file>" for c in changes):
-                changes.append(DependencyChange(
-                    file=filepath,
-                    module="<file>",
-                    change_type="modified",
-                    line=0
-                ))
-    return changes
-
-
-def correlate_function_changes_with_files(diff_text: str, functions: List[FunctionChange]) -> List[FunctionChange]:
-    result: List[FunctionChange] = []
-    # Split diff into per-file sections
-    file_sections: List[tuple[str, str]] = []
-    current_file: Optional[str] = None
-    current_lines: List[str] = []
-    for line in diff_text.split('\n'):
-        if line.startswith('diff --git'):
-            if current_file is not None:
-                file_sections.append((current_file, '\n'.join(current_lines)))
-            m = re.match(r'^diff --git a/.*? b/(.*?)$', line)
-            current_file = m.group(1) if m else "unknown"
-            current_lines = [line]
-        else:
-            current_lines.append(line)
-    if current_file is not None:
-        file_sections.append((current_file, '\n'.join(current_lines)))
-
-    pattern = re.compile(r'^([+\-])\s*(def|class)\s+(\w+)', re.MULTILINE)
-    for filepath, section in file_sections:
-        for m in pattern.finditer(section):
-            op = m.group(1)
-            kind = m.group(2)
-            name = m.group(3)
-            change_type = "added" if op == '+' else "removed"
-            result.append(FunctionChange(
-                file=filepath,
-                name=name,
-                kind=kind,
-                change_type=change_type
-            ))
-    return result
-
-
-def main():
-    parser = argparse.ArgumentParser(description="Codebase Genome Diff — structural changes between versions")
-    parser.add_argument("--ref1", required=True, help="First git ref (commit, branch, tag)")
-    parser.add_argument("--ref2", required=True, help="Second git ref")
-    parser.add_argument("--output", help="Write report to file")
-    parser.add_argument("--json", action="store_true", help="Output JSON instead of human report")
-    args = parser.parse_args()
-
-    try:
-        diff_text = run_git_diff(args.ref1, args.ref2)
-    except Exception as e:
-        print(f"Error: {e}", file=sys.stderr)
-        sys.exit(1)
-
-    if not diff_text.strip():
-        print(f"No differences between {args.ref1} and {args.ref2}.")
-        sys.exit(0)
-
-    analyzer = DiffAnalyzer()
-    summary = analyzer.analyze(diff_text)
-
-    file_changes = [fc.to_dict() for fc in summary.files]
-    func_changes = extract_function_changes(diff_text)
-    func_changes = correlate_function_changes_with_files(diff_text, func_changes)
-    dep_changes = extract_dependency_changes(diff_text, analyzer)
-
-    report = GenomeDiffReport(
-        ref1=args.ref1,
-        ref2=args.ref2,
-        file_changes=file_changes,
-        function_changes=func_changes,
-        dependency_changes=dep_changes,
-        total_files_changed=len(file_changes),
-        total_functions_changed=len(func_changes),
-        total_dependencies_changed=len(dep_changes),
-    )
-
-    output = json.dumps(report.to_dict(), indent=2) if args.json else report.human_report()
-
-    if args.output:
-        with open(args.output, 'w') as f:
-            f.write(output + '\n')
-        print(f"Report written to {args.output}")
-    else:
-        print(output)
-
-
-if __name__ == '__main__':
-    main()

scripts/github_trending_scanner.py

@@ -0,0 +1,258 @@
+#!/usr/bin/env python3
+"""GitHub Trending Scanner — Scan trending repos in AI/ML.
+
+Extracts: repo description, stars, key features (topics, inferred highlights).
+Filters by language and/or topic. Outputs dated JSON for daily scan pipeline.
+
+Usage:
+    python3 github_trending_scanner.py --language python --topic ai --output metrics/trending
+    python3 github_trending_scanner.py --topic machine-learning --limit 50
+    python3 github_trending_scanner.py --language rust --topic artificial-intelligence
+"""
+
+import argparse
+import json
+import os
+import sys
+import time
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Optional, List, Dict
+import urllib.request
+import urllib.parse
+import urllib.error
+
+GITHUB_API_BASE = os.environ.get("GITHUB_API_BASE", "https://api.github.com")
+DEFAULT_OUTPUT_DIR = os.environ.get("TRENDING_OUTPUT_DIR", "metrics/trending")
+DEFAULT_LIMIT = int(os.environ.get("TRENDING_LIMIT", "30"))
+DEFAULT_MIN_STARS = int(os.environ.get("TRENDING_MIN_STARS", "1000"))
+
+
+def fetch_trending_repos(
+    language: Optional[str] = None,
+    topic: Optional[str] = None,
+    min_stars: int = DEFAULT_MIN_STARS,
+    limit: int = DEFAULT_LIMIT,
+) -> List[Dict]:
+    """Fetch trending-like repositories from GitHub using the search API.
+
+    GitHub's public search API is unauthenticated-rate-limited (60 req/hr).
+    This function retries on rate-limit backoff and falls back gracefully.
+    """
+    # Build search query: stars threshold + optional language/topic filters
+    query = f"stars:>{min_stars}"
+    if language:
+        query += f" language:{language}"
+    if topic:
+        query += f" topic:{topic}"
+
+    # Sort by stars descending as a proxy for trending/popular
+    params = {
+        "q": query,
+        "sort": "stars",
+        "order": "desc",
+        "per_page": min(limit, 100),  # GitHub max per_page is 100
+    }
+    url = f"{GITHUB_API_BASE}/search/repositories?{urllib.parse.urlencode(params)}"
+
+    headers = {
+        "Accept": "application/vnd.github.v3+json",
+        "User-Agent": "Sovereign-Trending-Scanner/1.0",
+    }
+
+    for attempt in range(3):
+        try:
+            req = urllib.request.Request(url, headers=headers)
+            with urllib.request.urlopen(req, timeout=30) as resp:
+                if resp.status != 200:
+                    raise RuntimeError(f"GitHub API returned {resp.status}")
+                data = json.loads(resp.read().decode("utf-8"))
+                return data.get("items", [])[:limit]
+        except urllib.error.HTTPError as e:
+            if e.code == 403:
+                # Check for rate limit message
+                body = e.read().decode("utf-8", errors="replace").lower()
+                if "rate limit" in body or "api rate limit exceeded" in body:
+                    reset_ts = int(e.headers.get("X-RateLimit-Reset", 0))
+                    wait_seconds = max(5, reset_ts - int(time.time()) + 5)
+                    print(f"Rate limit exceeded — waiting {wait_seconds}s (attempt {attempt+1}/3)...", file=sys.stderr)
+                    time.sleep(wait_seconds)
+                    continue
+            print(f"ERROR: GitHub API request failed: {e} — {e.read().decode('utf-8', errors='replace')[:200]}", file=sys.stderr)
+            return []
+        except Exception as e:
+            if attempt < 2:
+                backoff = 2 ** attempt
+                print(f"WARNING: Fetch attempt {attempt+1} failed: {e} — retrying in {backoff}s", file=sys.stderr)
+                time.sleep(backoff)
+                continue
+            print(f"ERROR: All fetch attempts failed: {e}", file=sys.stderr)
+            return []
+
+    return []
+
+
+def extract_repo_features(repo_data: Dict) -> Dict:
+    """Extract structured fields for a trending repo."""
+    description = (repo_data.get("description") or "").strip()
+    topics = repo_data.get("topics", [])
+
+    # Infer key features from description and topics
+    features = infer_features(description, topics)
+
+    return {
+        "name": repo_data.get("full_name", ""),
+        "description": description,
+        "stars": repo_data.get("stargazers_count", 0),
+        "forks": repo_data.get("forks_count", 0),
+        "open_issues": repo_data.get("open_issues_count", 0),
+        "language": repo_data.get("language", ""),
+        "topics": topics,
+        "url": repo_data.get("html_url", ""),
+        "created_at": repo_data.get("created_at", ""),
+        "updated_at": repo_data.get("updated_at", ""),
+        "key_features": features,
+        "scanned_at": datetime.now(timezone.utc).isoformat(),
+    }
+
+
+def infer_features(description: str, topics: List[str]) -> List[str]:
+    """Infer notable capabilities/features from repo metadata.
+
+    Looks for AI/ML-relevant capabilities in topics and description.
+    """
+    features = []
+    text = (description + " " + " ".join(topics)).lower()
+
+    # Domain capabilities (keys normalized to lowercase for consistency)
+    capability_keywords = {
+        "fine-tuning": ["fine-tun", "finetun"],
+        "agent framework": ["agent"],
+        "local/offline": ["local", "on-device", "offline"],
+        "quantized models": ["quantized", "quantization", "gguf", "gptq"],
+        "vision": ["vision", "multimodal", "image", "visual"],
+        "speech/audio": ["speech", "audio", "whisper", "tts"],
+        "retrieval/rag": ["rag", "retrieval", "embedding", "vector"],
+        "training": ["train", "training", "sft", "dpo"],
+        "gui/playground": ["gui", "playground", "webui", "interface"],
+        "sota": ["state-of-the-art", "sota", "latest"],
+    }
+
+    for label, keywords in capability_keywords.items():
+        if any(kw in text for kw in keywords):
+            features.append(label)
+
+    # Also include non-generic topics as features
+    generic_topics = {"ai", "ml", "machine-learning", "deep-learning", "llm", "python", "pytorch", "tensorflow"}
+    for topic in topics:
+        if topic.lower() not in generic_topics:
+            features.append(topic)
+
+    # Deduplicate while preserving order, return up to 10
+    seen = set()
+    unique = []
+    for f in features:
+        key = f.lower()
+        if key not in seen:
+            seen.add(key)
+            unique.append(f)
+    return unique[:10]
+
+
+def save_trending(repos: List[Dict], output_dir: str = "metrics/trending") -> str:
+    """Save trending results to a dated JSON file.
+
+    Returns the path of the written file.
+    """
+    output_path = Path(output_dir)
+    output_path.mkdir(parents=True, exist_ok=True)
+
+    date_str = datetime.now(timezone.utc).strftime("%Y-%m-%d")
+    filename = output_path / f"github-trending-{date_str}.json"
+
+    output_data = {
+        "scanned_at": datetime.now(timezone.utc).isoformat(),
+        "count": len(repos),
+        "repos": repos,
+    }
+
+    with open(filename, "w") as f:
+        json.dump(output_data, f, indent=2, ensure_ascii=False)
+
+    return str(filename)
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        description="Scan GitHub trending repositories in AI/ML"
+    )
+    parser.add_argument(
+        "--language",
+        help="Filter by programming language (e.g., python, rust, go)",
+    )
+    parser.add_argument(
+        "--topic",
+        help="Filter by GitHub topic (e.g., ai, machine-learning, llm)",
+    )
+    parser.add_argument(
+        "--since",
+        default="daily",
+        choices=["daily", "weekly", "monthly"],
+        help="Trending period (daily/weekly/monthly) — informational only",
+    )
+    parser.add_argument(
+        "--output",
+        default="metrics/trending",
+        help="Output directory for results (default: metrics/trending)",
+    )
+    parser.add_argument(
+        "--limit",
+        type=int,
+        default=DEFAULT_LIMIT,
+        help=f"Maximum repos to fetch (default: {DEFAULT_LIMIT})",
+    )
+    parser.add_argument(
+        "--min-stars",
+        type=int,
+        default=DEFAULT_MIN_STARS,
+        help=f"Minimum star count for relevance (default: {DEFAULT_MIN_STARS})",
+    )
+    args = parser.parse_args()
+
+    print(
+        f"Fetching trending repos "
+        f"(language={args.language or 'any'}, topic={args.topic or 'any'}, period={args.since})..."
+    )
+
+    repos_raw = fetch_trending_repos(
+        language=args.language,
+        topic=args.topic,
+        min_stars=args.min_stars,
+        limit=args.limit,
+    )
+
+    if not repos_raw:
+        print("WARNING: No repos fetched — check network or rate limits", file=sys.stderr)
+
+    repos = [extract_repo_features(r) for r in repos_raw]
+
+    output_file = save_trending(repos, args.output)
+    print(f"Saved {len(repos)} trending repos to {output_file}")
+
+    # Brief human-readable summary
+    if repos:
+        print("\nTop repos:")
+        for repo in repos[:5]:
+            features_preview = ", ".join(repo["key_features"][:3])
+            print(f"  ★ {repo['stars']:>7}  {repo['name']}")
+            if repo["description"]:
+                desc = repo["description"][:80]
+                print(f"         {desc}{'...' if len(repo['description']) > 80 else ''}")
+            if features_preview:
+                print(f"         Features: {features_preview}")
+
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

scripts/test_github_trending_scanner.py

@@ -0,0 +1,125 @@
+#!/usr/bin/env python3
+"""Tests for github_trending_scanner.py — pure function validation.
+
+Tests the feature inference, extraction, and output formatting logic
+without relying on external GitHub API calls.
+"""
+
+import json
+import sys
+import tempfile
+from pathlib import Path
+
+# Add scripts dir to path for import
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+
+from github_trending_scanner import (
+    extract_repo_features,
+    infer_features,
+    save_trending,
+)
+
+
+def test_infer_features_from_description():
+    """Feature inference extracts capabilities from description text."""
+    desc = "A local, quantized LLM framework for fine-tuning and agent-based RAG with vision."
+    topics = ["ai", "llm"]
+    features = infer_features(desc, topics)
+
+    # Should include relevant capabilities (case-insensitive comparison)
+    expected_lower = {"fine-tuning", "local/offline", "quantized models", "agent framework", "vision", "retrieval/rag"}
+    actual_lower = set(f.lower() for f in features)
+    assert expected_lower.issubset(actual_lower), f"Missing features. Expected subset of {expected_lower}, got {actual_lower}"
+    print("PASS: infer_features_from_description")
+
+
+def test_infer_features_from_topics_only():
+    """Topics alone can drive feature detection."""
+    desc = ""
+    topics = ["computer-vision", "speech", "pytorch"]
+    features = infer_features(desc, topics)
+
+    # Non-generic topics should appear as features (topics preserved as-is)
+    assert "computer-vision" in features, f"Expected 'computer-vision' in {features}"
+    assert "speech" in features, f"Expected 'speech' in {features}"
+    # Generic topics (pytorch) may be filtered
+    print(f"PASS: infer_features_from_topics_only → {features}")
+
+
+def test_extract_repo_features_produces_valid_structure():
+    """extract_repo_features returns all required fields."""
+    mock_repo = {
+        "full_name": "example/repo",
+        "description": "An example repository",
+        "stargazers_count": 1234,
+        "forks_count": 56,
+        "open_issues_count": 7,
+        "language": "Python",
+        "topics": ["ai", "llm"],
+        "html_url": "https://github.com/example/repo",
+        "created_at": "2025-01-01T00:00:00Z",
+        "updated_at": "2026-01-01T00:00:00Z",
+    }
+
+    result = extract_repo_features(mock_repo)
+
+    assert result["name"] == "example/repo"
+    assert result["description"] == "An example repository"
+    assert result["stars"] == 1234
+    assert isinstance(result["key_features"], list)
+    assert "scanned_at" in result
+    assert result["url"] == "https://github.com/example/repo"
+    print("PASS: extract_repo_features_structure")
+
+
+def test_save_trending_creates_dated_json():
+    """save_trending writes a valid JSON file with the expected schema."""
+    repos = [
+        {
+            "name": "test/repo",
+            "description": "Test repository",
+            "stars": 999,
+            "language": "Python",
+            "topics": ["test"],
+            "key_features": ["testing"],
+            "scanned_at": "2026-04-26T00:00:00+00:00",
+        }
+    ]
+
+    with tempfile.TemporaryDirectory() as tmp:
+        output_file = save_trending(repos, output_dir=tmp)
+
+        path = Path(output_file)
+        assert path.exists(), f"Output file not created: {output_file}"
+
+        with open(path) as f:
+            data = json.load(f)
+
+        assert "scanned_at" in data
+        assert data["count"] == 1
+        assert isinstance(data["repos"], list)
+        assert data["repos"][0]["name"] == "test/repo"
+        print(f"PASS: save_trending → {output_file}")
+
+
+def test_save_trending_respects_output_dir_creation():
+    """Output directory is created if it doesn't exist."""
+    repos = []
+
+    with tempfile.TemporaryDirectory() as tmp:
+        nested = Path(tmp) / "nested" / "trending"
+        assert not nested.exists()
+
+        output_file = save_trending(repos, output_dir=str(nested))
+        assert nested.exists()
+        assert Path(output_file).exists()
+        print("PASS: output_dir_creation")
+
+
+if __name__ == "__main__":
+    test_infer_features_from_description()
+    test_infer_features_from_topics_only()
+    test_extract_repo_features_produces_valid_structure()
+    test_save_trending_creates_dated_json()
+    test_save_trending_respects_output_dir_creation()
+    print("\nAll github_trending_scanner tests passed.")