By name: types description: Reference for Splitrail's core data types. Use when working with ConversationMessage, Stats, DailyStats, or other type definitions.
Key Types
Read src/types.rs for full definitions.
Core Types
ConversationMessage - Normalized message format across all analyzers. Contains application source, timestamp, hashes for deduplication, model info, token/cost stats, and role.
Stats - Comprehensive usage metrics for a single message including token counts, costs, file operations, todo tracking, and composition stats by file type.
DailyStats - Pre-aggregated stats per date with message counts, conversation counts, model breakdown, and embedded Stats.
Application - Enum identifying which AI coding tool a message came from.
MessageRole - User or Assistant.
Hashing Strategy
local_hash: Deduplication within a single analyzerglobal_hash: Deduplication on upload to Splitrail Cloud
Aggregation
Use crate::utils::aggregate_by_date() to group messages into daily stats. See src/utils.rs.