[Agora] Backfill debate_sessions + debate_rounds tables done

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A1.1: The debate_sessions and debate_rounds DB tables exist but have 0 rows. Backfill from 21 existing debate.json files in analyses/*/. Modify scidex_orchestrator.py to auto-populate these tables for new analyses. Acceptance: debate_sessions has ~21 rows, debate_rounds has ~84 rows. New analyses auto-populate.

Git Commits (1)

[Verify] Backfill debate_sessions/debate_rounds — already resolved [task:8f867ef8-a266-40a6-a051-dda1460c8b16]2026-04-24
Spec File

[Agora] Backfill debate_sessions + debate_rounds tables

Goal

The debate_sessions and debate_rounds DB tables exist but have 0 rows. Backfill from 21 existing debate.json files in analyses/*/. Modify scidex_orchestrator.py to auto-populate these tables for new analyses.

Acceptance Criteria

☐ debate_sessions has ~21 rows, debate_rounds has ~84 rows.
☐ New analyses auto-populate.

Approach

  • Read AGENTS.md and relevant source files
  • Understand existing code patterns before modifying
  • Implement changes following existing conventions (f-string HTML, SQLite, Bedrock Claude)
  • Test: curl affected pages, verify rendering, run scidex status
  • Commit atomically with descriptive message
  • Work Log

    2026-04-01 19:35 PT — Slot 0

    • Started task: Backfill debate_sessions and debate_rounds tables
    • Read AGENTS.md and task spec to understand requirements
    • Analyzed database schema and existing debate.json files (18 found)
    • Created backfill_debates.py script to:
    - Parse all 18 existing debate.json files
    - Extract session metadata (rounds, hypotheses counts)
    - Insert debate_sessions and debate_rounds rows
    - Handle synthesizer JSON parsing for hypothesis counts
    • Ran backfill: 18 sessions and 72 rounds successfully inserted
    • Modified scidex_orchestrator.py:
    - Added save_debate_to_db() method to populate tables
    - Modified save_analysis() to call new method for future debates
    - Ensures all new analyses auto-populate debate tables
    • Tested:
    - ✅ All pages render (200 status)
    - ✅ API returns correct data
    - ✅ Database queries work correctly
    - ✅ Python syntax valid
    • Verified data quality:
    - 18 debate_sessions (one per analysis with debate.json)
    - 72 debate_rounds (18 sessions × 4 rounds each)
    - Proper persona/action mapping (theorist→propose, skeptic→critique, etc.)
    - Token counts and content preserved
    - Average 1,996 tokens/round, 143,714 total tokens tracked
    • Result: ✅ Complete — Tables backfilled, orchestrator updated for auto-population

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