Repeatability
High
The transformation logic is structurally identical across all 1,080 files — parse, map fields, flatten, deduplicate, write CSV. Once the schema mappings are established per facility, the process is fully repeatable with no unique judgment per file.
Ambiguity Tolerance
Medium
Output columns and deduplication intent are clearly defined, but 'slight time differences' for near-duplicates requires a threshold decision (e.g., within 15 minutes?) that the user hasn't specified. This is a one-time clarification, not ongoing ambiguity, but it must be resolved before the agent can run reliably.
Data & Tool Availability
High
All inputs are static files the user already has. A code agent needs only file access and a Python or Node runtime — no APIs, credentials, or live systems required. The agent can inspect the JSON structures directly to build field mappings.
Error Cost
Medium
Errors are reversible — the source files are untouched and the CSV can be regenerated. However, silent deduplication errors (dropping valid shifts or merging distinct ones) could cause downstream payroll or compliance issues if the output isn't spot-checked before use.
Human Judgment Required
Low
Field mapping across facility-specific schemas is pattern-matching work, not judgment. The deduplication rule needs a one-time human decision on the time threshold, but after that the logic is mechanical and fully delegable.