Migrate all repos into monorepo context folders

Bahn: aisupport, Analyse-O2C-C2S, awesome-bahn-mcp-servers, beam-mcp, Confluence_Bot, db-planet-mcp-server, O2C-Harness, project-audit, Projekt-KIQ-HP, teamlandkarte-mcp Dhive: Jury-Voting Privat: CV, NoteGraph (NOTE: NoteGraph needs complete redo after consolidation) Shared: AI-Orchestrator, OrgMyLife, power_skills_and_more Shared/references: symphony (read-only) Bahn repos remain available as independent remotes - this monorepo pulls them in via subtree, the originals are untouched.
2026-06-30 20:39:52 +02:00
parent 2f2b295531
commit a5f8fb49ab
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+"""Phone number extraction and normalization for German telephone formats.
+
+Supports:
+- +49 international format (e.g., +49 30 12345678, +49-171-1234567)
+- 0xxx domestic format (e.g., 030 12345678, 0171-1234567)
+- (0xxx) parenthesized area code format (e.g., (030) 12345678, (0171) 1234567)
+"""
+
+import re
+
+# Pattern 1: +49 international format
+# +49 followed by 9 to 12 digits with optional spaces or hyphens
+_INTERNATIONAL_PATTERN = re.compile(
+    r"\+49[\s\-]?(\d[\d\s\-]{8,14}\d)"
+)
+
+# Pattern 2: 0xxx domestic format
+# 0 followed by area code (2-5 digits) then subscriber (4-8 digits), with optional separators
+_DOMESTIC_PATTERN = re.compile(
+    r"(?<!\()0(\d{2,5})[\s\-/]?(\d[\d\s\-]{3,9}\d)"
+)
+
+# Pattern 3: (0xxx) parenthesized area code format
+# (0xxx) followed by subscriber digits with optional separators
+_PARENTHESIZED_PATTERN = re.compile(
+    r"\(0(\d{2,5})\)[\s\-]?(\d[\d\s\-]{3,9}\d)"
+)
+
+
+def extract_phone_number(text: str) -> str | None:
+    """Extract the first German phone number from text.
+
+    Supports formats:
+    - +49 xxx xxxx xxxx (international)
+    - 0xxx xxxxxxx (domestic with area code)
+    - (0xxx) xxxxxxx (domestic with parenthesized area code)
+
+    Returns the raw matched string or None if no match found.
+    """
+    if not text:
+        return None
+
+    # Collect all matches with their start positions to find the first one
+    matches: list[tuple[int, str]] = []
+
+    for m in _INTERNATIONAL_PATTERN.finditer(text):
+        matches.append((m.start(), m.group(0)))
+
+    for m in _PARENTHESIZED_PATTERN.finditer(text):
+        matches.append((m.start(), m.group(0)))
+
+    for m in _DOMESTIC_PATTERN.finditer(text):
+        # Avoid matching numbers already captured by parenthesized pattern
+        start = m.start()
+        raw = m.group(0)
+        # Check this isn't inside parentheses
+        if start > 0 and text[start - 1] == "(":
+            continue
+        matches.append((start, raw))
+
+    if not matches:
+        return None
+
+    # Return the first match by position
+    matches.sort(key=lambda x: x[0])
+    return matches[0][1]
+
+
+def normalize_phone_number(raw: str) -> str:
+    """Normalize a phone number by removing separators and standardizing format.
+
+    Strips spaces, hyphens, slashes, and parentheses.
+    Converts domestic format (leading 0) to international (+49) format.
+
+    Returns the normalized number string (e.g., "+4930123456").
+    """
+    if not raw:
+        return raw
+
+    # Remove all separators: spaces, hyphens, slashes, parentheses
+    cleaned = re.sub(r"[\s\-/\(\)]", "", raw)
+
+    # Convert domestic (0xxx) to international (+49xxx)
+    if cleaned.startswith("0") and not cleaned.startswith("+"):
+        cleaned = "+49" + cleaned[1:]
+
+    return cleaned
+
+
+def parse_phone_number(text: str) -> dict | None:
+    """Parse a phone number string into components.
+
+    Returns a dict with keys: country_code, area_code, subscriber
+    or None if the text cannot be parsed as a German phone number.
+    """
+    if not text:
+        return None
+
+    # First try to extract a phone number from the text
+    raw = extract_phone_number(text)
+    if raw is None:
+        # Try parsing the text directly as a phone number
+        normalized = normalize_phone_number(text)
+        if not normalized.startswith("+49"):
+            return None
+        digits_after_country = normalized[3:]
+        if not digits_after_country or len(digits_after_country) < 5:
+            return None
+        # Use heuristic: area codes are 2-5 digits, rest is subscriber
+        area_code, subscriber = _split_area_subscriber(digits_after_country)
+        return {
+            "country_code": "+49",
+            "area_code": area_code,
+            "subscriber": subscriber,
+        }
+
+    # Parse the extracted raw number
+    # Try international pattern
+    m = _INTERNATIONAL_PATTERN.match(raw)
+    if m:
+        digits = re.sub(r"[\s\-]", "", m.group(1))
+        area_code, subscriber = _split_area_subscriber(digits)
+        return {
+            "country_code": "+49",
+            "area_code": area_code,
+            "subscriber": subscriber,
+        }
+
+    # Try parenthesized pattern
+    m = _PARENTHESIZED_PATTERN.match(raw)
+    if m:
+        area_code = m.group(1)
+        subscriber = re.sub(r"[\s\-]", "", m.group(2))
+        return {
+            "country_code": "+49",
+            "area_code": area_code,
+            "subscriber": subscriber,
+        }
+
+    # Try domestic pattern
+    m = _DOMESTIC_PATTERN.match(raw)
+    if m:
+        area_code = m.group(1)
+        subscriber = re.sub(r"[\s\-]", "", m.group(2))
+        return {
+            "country_code": "+49",
+            "area_code": area_code,
+            "subscriber": subscriber,
+        }
+
+    return None
+
+
+def _split_area_subscriber(digits: str) -> tuple[str, str]:
+    """Split a digit string into area code and subscriber number.
+
+    Uses known German area code lengths:
+    - 2 digits: major cities (30=Berlin, 40=Hamburg, etc.)
+    - 3 digits: large cities (211=Düsseldorf, 221=Köln, etc.)
+    - 4 digits: medium cities and mobile prefixes (171, 172, etc.)
+    - 5 digits: smaller areas
+
+    Heuristic: if total digits <= 10, use shorter area code.
+    """
+    # Known 2-digit area codes (major cities)
+    two_digit_codes = {"30", "40", "69", "89"}
+
+    # Known 3-digit mobile prefixes
+    three_digit_mobile = {
+        "151", "152", "153", "155", "156", "157", "159",
+        "160", "162", "163", "170", "171", "172", "173",
+        "174", "175", "176", "177", "178", "179",
+    }
+
+    # Check 2-digit area codes
+    if len(digits) >= 4 and digits[:2] in two_digit_codes:
+        return digits[:2], digits[2:]
+
+    # Check 3-digit codes (mobile and city)
+    if len(digits) >= 5 and digits[:3] in three_digit_mobile:
+        return digits[:3], digits[3:]
+
+    # Check common 3-digit city codes
+    three_digit_city = {
+        "211", "212", "221", "228", "231", "241", "251",
+        "261", "271", "281", "291",
+        "311", "321", "331", "341", "351", "361", "371", "381", "391",
+        "421", "431", "441", "451", "461", "471", "481",
+        "511", "521", "531", "541", "551", "561", "571", "581", "591",
+        "611", "621", "631", "641", "651", "661", "671", "681",
+        "711", "721", "731", "741", "751", "761", "771",
+        "811", "821", "831", "841", "851", "861", "871",
+        "911", "921", "931", "941", "951", "961", "971", "981", "991",
+    }
+    if len(digits) >= 5 and digits[:3] in three_digit_city:
+        return digits[:3], digits[3:]
+
+    # Default heuristic based on total length
+    if len(digits) <= 8:
+        # Short number: assume 3-digit area code
+        return digits[:3], digits[3:]
+    elif len(digits) <= 10:
+        # Medium: assume 4-digit area code
+        return digits[:4], digits[4:]
+    else:
+        # Long: assume 4-digit area code
+        return digits[:4], digits[4:]