Yan Xell
65 lines
2.4 KiB
Python
65 lines
2.4 KiB
Python
"""queries/logs.py — rpa_logs"""
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from .db import query, count, e, dt, badge
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def get_logs(db_path: str) -> list:
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return query(db_path,
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"SELECT l.*, COALESCE(p.process_name, 'unknown') AS process_name "
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"FROM rpa_logs l "
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"LEFT JOIN rpa_process p ON p.id = l.rpa_process_id "
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"ORDER BY l.date_log DESC LIMIT 500")
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def get_last_run_ids(db_path: str, n: int = 20) -> list:
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"""Returns the last N distinct rpa_process_id values with process_name and start_run date, DESC."""
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return query(db_path,
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"SELECT l.rpa_process_id, COALESCE(p.process_name, 'unknown') AS process_name, "
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"COALESCE(p.start_run, '') AS start_run "
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"FROM rpa_logs l "
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"LEFT JOIN rpa_process p ON p.id = l.rpa_process_id "
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"WHERE l.rpa_process_id IS NOT NULL "
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"GROUP BY l.rpa_process_id ORDER BY l.rpa_process_id DESC LIMIT ?", (n,))
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def get_logs_by_run(db_path: str, run_id: int) -> list:
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return query(db_path,
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"SELECT l.*, COALESCE(p.process_name, 'unknown') AS process_name "
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"FROM rpa_logs l "
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"LEFT JOIN rpa_process p ON p.id = l.rpa_process_id "
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"WHERE l.rpa_process_id=? ORDER BY l.date_log DESC", (run_id,))
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def get_stats(db_path: str) -> dict:
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return {
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'log_errors': count(db_path, "SELECT COUNT(*) as n FROM rpa_logs WHERE type='error'"),
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'log_warnings': count(db_path, "SELECT COUNT(*) as n FROM rpa_logs WHERE type='warning'"),
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}
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def render_table(rows: list) -> str:
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if not rows:
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return '<p class="empty">Nessun log trovato.</p>'
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def _badge(tipo):
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m = {'log': ('log', 'Log'), 'warning': ('warn', 'Warning'), 'error': ('err', 'Error')}
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cls, lbl = m.get(tipo, ('', ''))
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return badge(cls, lbl) if cls else e(tipo)
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trs = ''.join(
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f'<tr data-type="{e(r.get("type", ""))}"'
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f' data-process-name="{e(r.get("process_name", "unknown"))}"'
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f' data-date="{str(r.get("date_log") or "")[:10]}">'
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f'<td><span class="proc-name-badge">{e(r.get("process_name", "—"))}</span> <span class="run-id">#{e(r.get("rpa_process_id"))}</span></td>'
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f'<td>{dt(r.get("date_log"))}</td>'
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f'<td>{_badge(r.get("type"))}</td>'
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f'<td class="nc">{e(r.get("log"))}</td>'
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f'</tr>'
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for r in rows
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)
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return (
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'<table><thead><tr>'
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'<th>Processo</th><th>Data</th><th>Tipo</th><th>Messaggio</th>'
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f'</tr></thead><tbody>{trs}</tbody></table>'
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)
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