When Marcus (the only round-2 actor) was killed, generate_prose
short-circuited on empty actions without calling the LLM, so
mock_llm.call_args_list only had one entry. Added Elena as a
second round-2 actor to exercise the filter with a live participant.
- PROSE_PROMPT_TEMPLATE extended with world_rules, world_events,
world_locations, and event_enforcement substitution fields
- EVENT_ENFORCEMENT_STRENGTH set to "hard" — opening line MUST
reference the most recent world event (aligns with existing
punchy, cinematic voice)
- Character summaries now resolve location id → name for prompts
- translate_round loads world_state and filters dead characters
from both the roster and the action list before prose generation
- User-supplied strings (rules, events, locations) brace-escaped
before str.format() to prevent KeyError on stray { or }
Tests: 36/36 passing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Full-pipeline test: fake simulation dir → actions.jsonl → two
translate_round calls → assertions on beat persistence, character
evolution, and translator offset advancement.
Final test suite: 20/20 passing across action mapper, character
engine, story store, translator (read + prose + orchestration), and
E2E.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
translate_round() ties together:
- reading the round's actions from actions.jsonl
- generating prose via the LLM
- updating per-character emotional state
- persisting the beat, characters, and file offset
Full test suite now at 19/19 passing across action mapper, character
engine, story store, and translator.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Module-level call_llm() wrapper (patchable by tests) drives
PROSE_PROMPT_TEMPLATE rendering with character summaries, actions,
previous beats, and user-selected tone. Prompt tuned for punchy,
cinematic, dialogue-heavy voice.
Tests: 5/5 passing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Reads one round's worth of agent actions from the OASIS log file,
tracking file offset so callers can resume across translation calls.
Handles missing files, malformed JSON lines, and non-target rounds
gracefully.
Tests: 3/3 passing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Character profiles now track a six-dimension emotional state (anger,
fear, joy, sadness, trust, surprise) that evolves based on actions
taken. Initial deltas for all 13 OASIS actions chosen as a balanced
baseline (see module docstring for tuning guidance).
Tests: 5/5 passing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Three JSON files per simulation under narrative/ subdir:
- story_beats.json: chronological story passages
- translator_state.json: per-platform file offsets
- characters.json: extended character profiles
Tests: 4/4 passing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
New narrative package with action_mapper module that maps the 13 OASIS
action types (CREATE_POST, LIKE_POST, REPOST, etc.) to narrative verbs
and interpretations used when generating story prose.
Tests: 4/4 passing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
anadoris007