Create merge.py

pipelines/merge.py

@@ -0,0 +1,45 @@
+from typing import List, Dict
+import re
+
+def _period_key(item_text: str) -> str:
+    m = re.search(r"(\d{4}[./年]\d{1,2})\s*[-〜~]\s*(\d{4}[./年]?\d{0,2}|現在|至今)?", item_text)
+    return m.group(0) if m else item_text[:50]
+
+def merge_normalized_records(records: List[Dict]) -> Dict:
+    merged = {"work_experience": [], "education": [], "certifications": [], "skills": [], "raw_sections": {}}
+    seen_we, seen_edu, seen_cert, skill_set = set(), set(), set(), set()
+
+    for r in records:
+        for w in r.get("work_experience", []):
+            key = _period_key(w.get("text", "")) + "|" + w.get("text", "")[:80]
+            if key not in seen_we:
+                seen_we.add(key)
+                merged["work_experience"].append(w)
+        for e in r.get("education", []):
+            k = e.get("text", "")
+            if k and k not in seen_edu:
+                seen_edu.add(k)
+                merged["education"].append(e)
+        for c in r.get("certifications", []):
+            k = c.get("text", "")
+            if k and k not in seen_cert:
+                seen_cert.add(k)
+                merged["certifications"].append(c)
+        for s in r.get("skills", []):
+            if s:
+                skill_set.add(s)
+        for k, v in r.get("raw_sections", {}).items():
+            merged["raw_sections"][k] = (merged["raw_sections"].get(k, "") + "\n" + v).strip()
+
+    def _sort_key(w):
+        m = re.search(r"(\d{4})([./年])(\d{1,2})", w.get("period", "") or w.get("text", ""))
+        if m:
+            try:
+                return (-(int(m.group(1)) * 100 + int(m.group(3))), 0)
+            except Exception:
+                return (0, 1)
+        return (0, 1)
+
+    merged["work_experience"].sort(key=_sort_key)
+    merged["skills"] = sorted(skill_set)
+    return merged