Exploration sessions aggregate into a single exploration summary
(session counts, goal-achievement rate, issue lists from experience
records, judge conclusions when reviewed) that feeds three exits:
the campaign report gains an exploration dimension, the v0.7 analysis
stage-two input gains the summary (stats only, never full dialogues),
and the Markdown export appends a findings appendix after analysis and
comparison. With no exploration data every output stays unchanged.
The scheduler loop enqueues the analysis task when a realtime campaign
completes; accelerated or cancelled campaigns and a missing analysis
model skip silently. The campaign markdown export appends the analysis
appendix (overall, problems, narratives, suggestions) when a completed
analysis exists.
report.py mixed DB-reading generation with string formatting: the four
render_*_report(run_id, session) functions each re-fetched via
generate_report, so the HTML/Markdown/JSON formatting was welded to storage
and could not be unit-tested from a plain dict. Extract the formatting into a
new pure report_render module whose renderers take the already-built report
dict (no session, no storage import). Migrate every caller to generate-then-
render, delete the old coupled renderers with no back-compat shim, and drop
the _aggregate_runs middle-man alias in favour of metrics.aggregate_runs.
