t-record-lib 0.3.2

Features

• ThoughtfulRecord model Track each record’s status, lifecycle, and traces with robust JSON-serializable objects.

• Automatic history Dumps detailed logs, merges previous runs seamlessly, preserving full audit history.

• Enhanced HTML reports Auto-generates beautiful HTML reports with status summary, traces, diffs, and screenshots.

• Portable archive Packs all data (logs + images + HTML) into a shareable ZIP file.

• Fail-safe logging Internally uses try/except to ensure tracing never crashes your main process.

Installation

Install via pip:

pip install t-record-lib

Or for local development:

git clone https://github.com/YOUR_ORG/t_record.git
cd t_record
pip install -e .

Quickstart

from t_record.record import configure_records_tracing, ThoughtfulRecord, dump_records, pack_sharable_zip, RecordStatus

# 1. Configure
configure_records_tracing("records_folder")

# 2. Create your record
class MyRecord(ThoughtfulRecord):
    id: str
    status: RecordStatus = ""

record = MyRecord(id="rec_001")

# 3. Change status or add traces
record.status = Status.RUNNING
record.log_trace("Started processing", reason="Data loaded")

# 4. Save everything
dump_records()

# 5. Create shareable ZIP
pack_sharable_zip("records.zip")

Output files

By default, each run will produce:

/records_folder/{process_name}/{run_id}/
    records_logs.json     # full structured logs (merged from previous runs)
    records_report.html   # human-readable dashboard
    /images/              # attached screenshots

Plus a zip archive on demand.

Advanced usage

• Continue an existing run (merges history automatically):

  configure_record_tracing("records_folder")
  record = MyRecord(id="rec_001")  # picks up previous traces
  record.status = Status.COMPLETED
  dump_records()

• Add an image trace:

  record.log_trace("Reviewed", reason="Visual QC", image="path/to/image.png")