bidux (version 0.3.3)

bid_telemetry: Concise telemetry analysis with tidy output

Description

Preferred modern interface for telemetry analysis. Returns a clean tibble of identified issues without the legacy list structure. Use this function for new workflows that don't need backward compatibility.

Usage

bid_telemetry(
  source,
  format = NULL,
  events_table = NULL,
  table_name = NULL,
  thresholds = list()
)

Value

A tibble of class "bid_issues_tbl" with structured issue metadata

Arguments

source

Either a file path to telemetry data (SQLite database or JSON log file), or a DBI connection object to an already-open database. When a connection is provided, it will not be closed by this function.

format

Optional format specification ("sqlite" or "json"). If NULL, auto-detected from file extension (for file paths) or defaults to "sqlite" for DBI connections.

events_table

Optional data.frame specifying custom events table when reading from SQLite. Must have columns: event_id, timestamp, event_type, user_id. If NULL, auto-detects standard table names (event_data, events). Cannot be used with table_name.

table_name

Optional character string specifying the table name to read from the database. If NULL (default), auto-detects standard table names (event_data, events). Cannot be used with events_table.

thresholds

Optional list of threshold parameters: - unused_input_threshold: percentage of sessions below which input is considered unused (default: 0.05) - delay_threshold_secs: seconds of delay considered problematic (default: 30) - error_rate_threshold: percentage of sessions with errors considered problematic (default: 0.1) - navigation_threshold: percentage of sessions visiting a page below which it's considered underused (default: 0.2) - rapid_change_window: seconds within which multiple changes indicate confusion (default: 10) - rapid_change_count: number of changes within window to flag as confusion (default: 5)

Examples

if (FALSE) {
# Modern workflow
issues <- bid_telemetry("telemetry.sqlite")
high_priority <- issues[issues$severity %in% c("critical", "high"), ]

# Use DBI connection directly
con <- DBI::dbConnect(RSQLite::SQLite(), "telemetry.sqlite")
issues <- bid_telemetry(con, table_name = "my_events")
DBI::dbDisconnect(con)

# Use with bridges for BID workflow
top_issue <- issues[1, ]
notice <- bid_notice_issue(top_issue, previous_stage = interpret_stage)
}