clari-cost-tuning

# Clari Cost Tuning ## Overview Minimize Clari API overhead: reduce export frequency, cache aggressively, export only needed data types, and monitor usage. ## Instructions ### Export Only What You Need ```python # Full export (6 data types) -- more API load full_types = ["forecast", "quota", "forecast_updated", "adjustment", "crm_total", "crm_closed"] # Minimal export (2 data types) -- faster and lighter minimal_types = ["forecast", "crm_closed"] # Use minimal for dashboards, full for audit/compliance ``` ### Optimize Export Frequency | Use Case | Recommended Frequency | |----------|-----------------------| | Executive dashboard | Daily | | Forecast accuracy tracking | Weekly | | Compliance audit | Quarterly | | Ad-hoc analysis | On demand | ### Cache to Avoid Redundant Exports ```python # Cache recent exports (see clari-performance-tuning) cache = ExportCache(ttl_hours=8) def smart_export(client, forecast_name, period): cached = cache.get(forecast_name, period) if cached: print(f"Cache hit for {period}") return cached data = client.export_and_download(forecast_name, period) entries = data.get("entries", []) cache.set(forecast_name, period, entries) return entries ``` ### Usage Tracking ```python class ClariUsageTracker: def __init__(self): self.api_calls = 0 self.exports = 0 def track_call(self): self.api_calls += 1 def track_export(self): self.exports += 1 ...