feat: add services page and API endpoints for service cost breakdown
- Implemented new API endpoints for fetching global services and service tenants details. - Created a new services.html page with a sidebar for navigation and a chart for service costs. - Updated frontend JavaScript to handle service data loading and rendering. - Enhanced the dashboard with provider filtering options for AWS and Azure. - Added a segmented toggle for selecting the date range for service costs. - Improved styling for the sidebar and data tables. - Refactored common utility functions for better reusability across pages.
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@@ -365,6 +365,239 @@ def services_for_months(conn: sqlite3.Connection, provider: str, name: str, mont
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return dict(sorted(((k, round(v, 2)) for k, v in totals.items()), key=lambda kv: -kv[1]))
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# ----------------------------------------------------------------------
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# Vue globale par service (page "Services")
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# ----------------------------------------------------------------------
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def _last_n_daily_dates(conn: sqlite3.Connection, n: int, provider: str | None = None) -> list[str]:
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"""Les n dates de collecte journalière les plus récentes, tous tenants
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confondus (ou un seul provider si filtré) — aligne la fenêtre sur les
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jours réellement collectés plutôt que sur un simple `today - n` (qui
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pourrait déborder sur des jours pas encore collectés)."""
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where = ["granularity = 'daily'", "status = 'ok'"]
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params: list = []
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if provider:
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where.append("provider = ?")
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params.append(provider)
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params.append(n)
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rows = conn.execute(
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f"""
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SELECT DISTINCT period_start FROM collections
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WHERE {' AND '.join(where)}
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ORDER BY period_start DESC LIMIT ?
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""",
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params,
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).fetchall()
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return [r["period_start"] for r in rows]
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def _services_breakdown(totals: dict[str, float], total: float) -> list[dict]:
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return sorted(
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(
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{
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"service_name": name,
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"amount": round(amount, 2),
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"pct": round(amount / total * 100, 1) if total else 0.0,
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}
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for name, amount in totals.items()
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),
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key=lambda s: -s["amount"],
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)
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def global_services(conn: sqlite3.Connection, range_days: int = 30, provider: str | None = None) -> dict:
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"""Répartition des coûts par service, tous tenants/providers confondus
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(ou un seul provider si `provider` est fourni).
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range_days=1, 7 ou 30 -> derniers jours réellement collectés (granularité
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'daily'), la plus précise.
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range_days=365 -> 12 derniers mois glissants ; même règle de
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priorité 'daily' > 'monthly' par (tenant, mois)
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que `_merged_monthly`, pour ne pas compter deux
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fois un mois couvert par les deux granularités."""
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if range_days in (1, 7, 30):
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days = _last_n_daily_dates(conn, range_days, provider=provider)
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if not days:
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return {
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"mode": "daily", "range_days": range_days, "provider": provider,
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"period_start": None, "period_end": None,
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"total": 0.0, "services": [],
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}
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placeholders = ",".join("?" * len(days))
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where = [f"c.period_start IN ({placeholders})"]
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params: list = list(days)
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if provider:
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where.append("c.provider = ?")
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params.append(provider)
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rows = conn.execute(
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f"""
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SELECT sc.service_name AS service_name, SUM(sc.amount) AS amount
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FROM service_costs sc
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JOIN collections c ON c.id = sc.collection_id
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WHERE c.status = 'ok' AND c.granularity = 'daily' AND {' AND '.join(where)}
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GROUP BY sc.service_name
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""",
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params,
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).fetchall()
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totals = {r["service_name"]: r["amount"] for r in rows}
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total = sum(totals.values())
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return {
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"mode": "daily",
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"range_days": range_days,
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"provider": provider,
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"period_start": min(days),
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"period_end": max(days),
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"total": round(total, 2),
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"services": _services_breakdown(totals, total),
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}
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month_keys = _last_n_months(12)
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where = ["substr(c.period_start, 1, 7) >= ?"]
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params = [month_keys[0]]
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if provider:
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where.append("c.provider = ?")
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params.append(provider)
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rows = conn.execute(
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f"""
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SELECT c.provider, c.tenant_name, substr(c.period_start, 1, 7) AS month,
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c.granularity, sc.service_name AS service_name, SUM(sc.amount) AS amount
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FROM service_costs sc
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JOIN collections c ON c.id = sc.collection_id
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WHERE c.status = 'ok' AND {' AND '.join(where)}
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GROUP BY c.provider, c.tenant_name, month, c.granularity, sc.service_name
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""",
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params,
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).fetchall()
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daily_keys = {(r["provider"], r["tenant_name"], r["month"]) for r in rows if r["granularity"] == "daily"}
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totals: dict[str, float] = {}
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for r in rows:
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if r["granularity"] == "monthly" and (r["provider"], r["tenant_name"], r["month"]) in daily_keys:
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continue
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totals[r["service_name"]] = totals.get(r["service_name"], 0.0) + r["amount"]
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total = sum(totals.values())
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return {
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"mode": "monthly",
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"range_days": None,
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"provider": provider,
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"months": month_keys,
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"total": round(total, 2),
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"services": _services_breakdown(totals, total),
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}
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def service_tenants_detail(
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conn: sqlite3.Connection, service_name: str, range_days: int = 30, provider: str | None = None
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) -> dict:
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"""Répartition par tenant pour un service donné (clic sur un service de
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la page Services), sur la même période/règle daily-vs-monthly que
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`global_services`. `provider` restreint aux tenants d'un seul CSP."""
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if range_days in (1, 7, 30):
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days = _last_n_daily_dates(conn, range_days, provider=provider)
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if not days:
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return {
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"mode": "daily", "range_days": range_days, "provider": provider,
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"period_start": None, "period_end": None,
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"service_name": service_name, "total": 0.0, "tenants": [],
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}
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placeholders = ",".join("?" * len(days))
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where = [f"c.period_start IN ({placeholders})", "sc.service_name = ?"]
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params: list = [*days, service_name]
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if provider:
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where.append("c.provider = ?")
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params.append(provider)
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rows = conn.execute(
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f"""
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SELECT c.provider, c.tenant_name, SUM(sc.amount) AS amount
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FROM service_costs sc
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JOIN collections c ON c.id = sc.collection_id
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WHERE c.status = 'ok' AND c.granularity = 'daily' AND {' AND '.join(where)}
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GROUP BY c.provider, c.tenant_name
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""",
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params,
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).fetchall()
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total = sum(r["amount"] for r in rows)
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tenants = sorted(
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(
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{
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"provider": r["provider"], "tenant_name": r["tenant_name"],
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"amount": round(r["amount"], 2),
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"pct": round(r["amount"] / total * 100, 1) if total else 0.0,
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}
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for r in rows
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),
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key=lambda t: -t["amount"],
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)
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return {
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"mode": "daily",
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"range_days": range_days,
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"provider": provider,
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"period_start": min(days),
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"period_end": max(days),
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"service_name": service_name,
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"total": round(total, 2),
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"tenants": tenants,
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}
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month_keys = _last_n_months(12)
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where = ["substr(c.period_start, 1, 7) >= ?", "sc.service_name = ?"]
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params = [month_keys[0], service_name]
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if provider:
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where.append("c.provider = ?")
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params.append(provider)
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rows = conn.execute(
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f"""
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SELECT c.provider, c.tenant_name, substr(c.period_start, 1, 7) AS month,
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c.granularity, SUM(sc.amount) AS amount
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FROM service_costs sc
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JOIN collections c ON c.id = sc.collection_id
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WHERE c.status = 'ok' AND {' AND '.join(where)}
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GROUP BY c.provider, c.tenant_name, month, c.granularity
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""",
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params,
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).fetchall()
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daily_keys = {(r["provider"], r["tenant_name"], r["month"]) for r in rows if r["granularity"] == "daily"}
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totals: dict[tuple[str, str], float] = {}
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for r in rows:
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if r["granularity"] == "monthly" and (r["provider"], r["tenant_name"], r["month"]) in daily_keys:
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continue
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key = (r["provider"], r["tenant_name"])
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totals[key] = totals.get(key, 0.0) + r["amount"]
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total = sum(totals.values())
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tenants = sorted(
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(
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{
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"provider": tenant_provider, "tenant_name": tenant_name,
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"amount": round(amount, 2),
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"pct": round(amount / total * 100, 1) if total else 0.0,
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}
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for (tenant_provider, tenant_name), amount in totals.items()
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),
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key=lambda t: -t["amount"],
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)
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return {
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"mode": "monthly",
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"range_days": None,
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"provider": provider,
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"months": month_keys,
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"service_name": service_name,
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"total": round(total, 2),
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"tenants": tenants,
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}
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# ----------------------------------------------------------------------
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# Détail par ressource (drawer sur un service)
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# ----------------------------------------------------------------------
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