From 535ba495627f410fe815d8710802fb3a8721f4e2 Mon Sep 17 00:00:00 2001
From: Mika <kontakt@donau2space.de>
Date: Mon, 9 Mar 2026 13:44:29 +0000
Subject: [PATCH] Add
 artifact.retry_analysis/src/artifact_retry_analysis/core.py

---
 .../src/artifact_retry_analysis/core.py       | 115 ++++++++++++++++++
 1 file changed, 115 insertions(+)
 create mode 100644 artifact.retry_analysis/src/artifact_retry_analysis/core.py

diff --git a/artifact.retry_analysis/src/artifact_retry_analysis/core.py b/artifact.retry_analysis/src/artifact_retry_analysis/core.py
new file mode 100644
index 0000000..5cedabd
--- /dev/null
+++ b/artifact.retry_analysis/src/artifact_retry_analysis/core.py
@@ -0,0 +1,115 @@
+import json
+import statistics
+from pathlib import Path
+from typing import List, Any, Dict
+from dataclasses import dataclass, asdict
+from datetime import datetime
+
+
+class RetryAnalysisError(Exception):
+    """Custom exception for retry analysis errors."""
+    pass
+
+
+@dataclass
+class RetryLogEntry:
+    retry_taken: bool
+    retry_total_overhead_ms: float
+    stratum: str
+    expires_at_dist_hours: float
+    delta_t: float
+
+    @staticmethod
+    def from_dict(data: Dict[str, Any]) -> 'RetryLogEntry':
+        required_fields = {
+            'retry_taken': bool,
+            'retry_total_overhead_ms': (int, float),
+            'stratum': str,
+            'expires_at_dist_hours': (int, float),
+            'delta_t': (int, float)
+        }
+        for key, expected_type in required_fields.items():
+            if key not in data:
+                raise RetryAnalysisError(f"Missing required field: {key}")
+            if not isinstance(data[key], expected_type):
+                raise RetryAnalysisError(f"Invalid type for field '{key}': expected {expected_type}, got {type(data[key])}")
+        return RetryLogEntry(
+            retry_taken=bool(data['retry_taken']),
+            retry_total_overhead_ms=float(data['retry_total_overhead_ms']),
+            stratum=str(data['stratum']),
+            expires_at_dist_hours=float(data['expires_at_dist_hours']),
+            delta_t=float(data['delta_t'])
+        )
+
+
+@dataclass
+class RetryAnalysisReport:
+    total_retries: int
+    success_rate: float
+    failure_rate: float
+    details: str
+
+    def to_json(self) -> str:
+        """Serialize the report to a JSON string."""
+        return json.dumps(asdict(self), ensure_ascii=False, indent=2)
+
+
+def analyze_retry_data(log_file: str) -> RetryAnalysisReport:
+    """
+    Analysiert eine Logdatei mit Retry-Einträgen und erstellt einen strukturierten Bericht über Erfolgs- und Fehlerraten.
+    """
+    path = Path(log_file)
+    if not path.is_file():
+        raise RetryAnalysisError(f"Input file not found: {log_file}")
+
+    with path.open('r', encoding='utf-8') as f:
+        try:
+            data = json.load(f)
+        except json.JSONDecodeError as e:
+            raise RetryAnalysisError(f"Invalid JSON format: {e}") from e
+
+    if not isinstance(data, list):
+        raise RetryAnalysisError("Expected a JSON array of retry log entries.")
+
+    entries: List[RetryLogEntry] = []
+    for i, item in enumerate(data):
+        try:
+            entry = RetryLogEntry.from_dict(item)
+            entries.append(entry)
+        except RetryAnalysisError as e:
+            # Skip invalid entries but keep a log of occurrence (via console print for simplicity)
+            print(f"Warning: Skipping invalid entry at index {i}: {e}")
+
+    total = len(entries)
+    if total == 0:
+        raise RetryAnalysisError("No valid retry entries found.")
+
+    success_count = sum(1 for e in entries if e.retry_taken)
+    failure_count = total - success_count
+
+    success_rate = (success_count / total) * 100.0
+    failure_rate = (failure_count / total) * 100.0
+
+    overheads = [e.retry_total_overhead_ms for e in entries]
+    mean_overhead = statistics.mean(overheads)
+
+    details = (
+        f"Analysis Timestamp: {datetime.utcnow().isoformat()}Z\n"
+        f"Processed Entries: {total}\n"
+        f"Average Overhead (ms): {mean_overhead:.2f}\n"
+        f"Strata Distribution: {{}}, Derived from entries count per stratum."
+    )
+
+    strata_counts = {}
+    for e in entries:
+        strata_counts[e.stratum] = strata_counts.get(e.stratum, 0) + 1
+    distribution_str = ', '.join(f"{k}: {v}" for k, v in strata_counts.items())
+    details = details.replace("{}", distribution_str)
+
+    report = RetryAnalysisReport(
+        total_retries=total,
+        success_rate=success_rate,
+        failure_rate=failure_rate,
+        details=details
+    )
+    return report
\ No newline at end of file