feat(formatter): unify data pipeline with ReportRow and report_builder

redmine_reporter/formatter_csv.py

@@ -1,40 +1,22 @@
 import csv
 import io
-from typing import List, Tuple
-from redminelib.resources import Issue
-from .formatter import get_version, hours_to_human, STATUS_TRANSLATION
+from typing import List
+from .types import ReportRow
 
 
-def format_csv(
-    issue_hours: List[Tuple[Issue, float]],
-    fill_time: bool = True,
-    dialect: str = "excel"
-) -> str:
-    """
-    Formats the list of issues with spent time into CSV.
-    Returns a string containing the CSV content.
-    """
-
+def format_csv(rows: List[ReportRow]) -> str:
     output = io.StringIO()
-    writer = csv.writer(output, dialect=dialect)
-
-    # Header
+    writer = csv.writer(output, dialect="excel")
     writer.writerow(["Project", "Version", "Issue ID", "Subject", "Status", "Spent Time"])
 
-    for issue, hours in issue_hours:
-        project = str(issue.project)
-        version = get_version(issue)
-        status_en = str(issue.status)
-        status_ru = STATUS_TRANSLATION.get(status_en, status_en)
-        time_text = hours_to_human(hours) if fill_time else ""
-
+    for r in rows:
         writer.writerow([
-            project,
-            version,
-            issue.id,
-            issue.subject,
-            status_ru,
-            time_text
+            r["project"],
+            r["version"],
+            r["issue_id"],
+            r["subject"],
+            r["status_ru"],
+            r["time_text"]
         ])
 
     return output.getvalue()