chore: initial commit
- Track MiroSociety source: backend (FastAPI), frontend (Vue3/Vite), docs, configs. - Add start.sh / deploy.sh for local dev (uv venv + npm + dev servers on 31400/31401). - Fix pyproject.toml: missing httpx dependency. - Tighten .gitignore: .env, .venv, node_modules, data/, *.log, uv.lock, frontend/dist, etcd. Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Claude
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from app.models.world import (
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Location,
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TimeConfig,
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WorldBlueprint,
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WorldMetrics,
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Institution,
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Proposal,
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WorldState,
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)
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from app.models.agent import Personality, AgentPersona
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from app.models.action import ActionType, AgentDecision, ActionEntry, ReactiveResponse
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from app.models.simulation import (
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SimulationStatus,
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SpeedMode,
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SimulationState,
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SSEEvent,
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ForkRequest,
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)
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__all__ = [
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"Location",
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"TimeConfig",
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"WorldBlueprint",
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"WorldMetrics",
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"Institution",
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"Proposal",
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"WorldState",
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"Personality",
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"AgentPersona",
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"ActionType",
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"AgentDecision",
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"ActionEntry",
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"ReactiveResponse",
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"SimulationStatus",
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"SpeedMode",
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"SimulationState",
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"SSEEvent",
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"ForkRequest",
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]
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from __future__ import annotations
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from enum import Enum
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from typing import Literal
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from pydantic import BaseModel, Field
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class ActionType(str, Enum):
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SPEAK_PUBLIC = "SPEAK_PUBLIC"
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SPEAK_PRIVATE = "SPEAK_PRIVATE"
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TRADE = "TRADE"
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FORM_GROUP = "FORM_GROUP"
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PROPOSE_RULE = "PROPOSE_RULE"
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VOTE = "VOTE"
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PROTEST = "PROTEST"
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COMPLY = "COMPLY"
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DEFECT = "DEFECT"
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BUILD = "BUILD"
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OBSERVE = "OBSERVE"
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RECOMMEND = "RECOMMEND"
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PURCHASE = "PURCHASE"
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ABANDON = "ABANDON"
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COMPARE = "COMPARE"
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RESEARCH = "RESEARCH"
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INVESTIGATE = "INVESTIGATE"
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DO_NOTHING = "DO_NOTHING"
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class AgentDecision(BaseModel):
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feel: str = ""
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want: str = ""
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fear: str = ""
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life_context: str = ""
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past_echo: str = ""
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action: ActionType = ActionType.DO_NOTHING
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args: dict = Field(default_factory=dict)
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speech: str | None = None
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internal_thought: str = ""
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belief_updates: list[str] = Field(default_factory=list)
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memory_promotion: str | None = None
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class ActionEntry(BaseModel):
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round: int
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day: int
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time_of_day: str
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agent_id: int
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agent_name: str
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location: str
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action_type: ActionType
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action_args: dict = Field(default_factory=dict)
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speech: str | None = None
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internal_thought: str | None = None
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targets: list[int] = Field(default_factory=list)
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world_state_changes: dict = Field(default_factory=dict)
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relationship_changes: dict = Field(default_factory=dict)
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class ReactiveResponse(BaseModel):
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agent_id: int
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agent_name: str = ""
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reaction_type: Literal["respond", "whisper", "silent"] = "silent"
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content: str | None = None
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target_id: int | None = None
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location: str = ""
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from __future__ import annotations
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from pydantic import BaseModel, Field
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class SocialEdge(BaseModel):
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target_id: int
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strength: float = Field(default=0.5, ge=0.0, le=1.0)
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sentiment: float = Field(default=0.0, ge=-1.0, le=1.0)
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class Personality(BaseModel):
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honesty: float = Field(default=0.5, ge=0.0, le=1.0)
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ambition: float = Field(default=0.5, ge=0.0, le=1.0)
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empathy: float = Field(default=0.5, ge=0.0, le=1.0)
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confrontational: float = Field(default=0.5, ge=0.0, le=1.0)
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conformity: float = Field(default=0.5, ge=0.0, le=1.0)
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brand_loyalty: float = Field(default=0.5, ge=0.0, le=1.0)
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price_sensitivity: float = Field(default=0.5, ge=0.0, le=1.0)
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social_proof: float = Field(default=0.5, ge=0.0, le=1.0)
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novelty_seeking: float = Field(default=0.5, ge=0.0, le=1.0)
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COMMUNICATION_STYLES = {
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"terse": "You speak in short, blunt sentences. 5-10 words max. No pleasantries. 'Cancelled. Moving on.'",
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"sarcastic": "You use irony and dry humor. You rarely say what you mean directly. 'Oh great, another price hike. What a surprise.'",
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"verbose": "You over-explain. You use qualifiers, caveats, and parentheticals. You think out loud.",
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"question-asker": "You respond to statements with questions. You probe rather than declare. 'But have you actually looked at the alternatives?'",
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"anecdote-teller": "You relate everything to personal stories. 'This reminds me of when Blockbuster...'",
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"data-driven": "You cite numbers, comparisons, facts. You distrust emotional arguments. 'The math doesn't work out.'",
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"emotional": "You lead with feelings. Exclamation marks, dramatic phrasing, personal impact.",
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"passive-aggressive": "You agree on the surface but undermine subtly. 'Sure, if that works for you...'",
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}
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class FamilyMember(BaseModel):
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name: str
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relation: str
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age: int
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status: str = "healthy"
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dependency: float = Field(default=0.0, ge=0.0, le=1.0)
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bond_strength: float = Field(default=0.7, ge=0.0, le=1.0)
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class FormativeEvent(BaseModel):
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age_at_event: int
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description: str
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lasting_effect: str
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trait_modifier: dict[str, float] = Field(default_factory=dict)
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class LifePressure(BaseModel):
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domain: str
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description: str
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severity: float = Field(default=0.5, ge=0.0, le=1.0)
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deadline_day: int | None = None
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created_day: int = 0
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class LifeState(BaseModel):
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childhood_summary: str
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formative_events: list[FormativeEvent] = Field(default_factory=list)
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family: list[FamilyMember] = Field(default_factory=list)
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finances: float = Field(default=0.5, ge=0.0, le=1.0)
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career: float = Field(default=0.5, ge=0.0, le=1.0)
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health: float = Field(default=0.5, ge=0.0, le=1.0)
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pressures: list[LifePressure] = Field(default_factory=list)
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life_log: list[str] = Field(default_factory=list)
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class AgentPersona(BaseModel):
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id: int
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name: str
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role: str
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age: int
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personality: Personality
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background: str
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goals: list[str] = Field(default_factory=list)
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core_memory: list[str] = Field(default_factory=list)
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working_memory: list[str] = Field(default_factory=list)
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beliefs: list[str] = Field(default_factory=list)
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relationships: dict[str, str] = Field(default_factory=dict)
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resources: dict[str, int] = Field(default_factory=dict)
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location: str = "community"
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faction: str | None = None
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emotional_state: str = "calm"
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social_connections: list[SocialEdge] = Field(default_factory=list)
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communication_style: str = Field(default="emotional")
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knowledge_level: str = Field(default="full")
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life_state: LifeState | None = None
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abandoned_products: set[str] = Field(default_factory=set)
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has_defected: bool = False
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from __future__ import annotations
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from pydantic import BaseModel, Field
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class AgeDistribution(BaseModel):
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bracket: str
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percentage: float
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class IncomeDistribution(BaseModel):
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bracket: str
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percentage: float
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class OccupationDistribution(BaseModel):
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category: str
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percentage: float
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class EthnicityDistribution(BaseModel):
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group: str
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percentage: float
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class DemographicProfile(BaseModel):
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city_name: str
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state: str
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population: int
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age: list[AgeDistribution] = Field(default_factory=list)
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income: list[IncomeDistribution] = Field(default_factory=list)
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occupations: list[OccupationDistribution] = Field(default_factory=list)
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ethnicity: list[EthnicityDistribution] = Field(default_factory=list)
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median_household_income: int = 0
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poverty_rate: float = 0.0
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unemployment_rate: float = 0.0
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homeownership_rate: float = 0.0
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median_rent: int = 0
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rent_burden_rate: float = 0.0
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college_education_rate: float = 0.0
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median_age: float = 0.0
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city_character: str = ""
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from __future__ import annotations
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from pydantic import BaseModel, Field
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class SegmentDefinition(BaseModel):
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name: str
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description: str
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count: int | None = None
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class ScenarioBrief(BaseModel):
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world_description: str
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rules_or_context: list[str] = Field(default_factory=list)
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proposed_change: str | None = None
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target_segments: list[SegmentDefinition] | None = None
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population: int = 25
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duration_days: int = 90
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from __future__ import annotations
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from enum import Enum
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from typing import Any, Literal
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from pydantic import BaseModel, Field
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from app.models.world import WorldBlueprint, WorldMetrics
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class SimulationStatus(str, Enum):
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GENERATING_WORLD = "generating_world"
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GENERATING_CITIZENS = "generating_citizens"
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RUNNING = "running"
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PAUSED = "paused"
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COMPLETED = "completed"
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ERROR = "error"
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class SpeedMode(str, Enum):
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LIVE = "live"
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FAST_FORWARD = "fast_forward"
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JUMP = "jump"
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class SimulationState(BaseModel):
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id: str
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status: SimulationStatus = SimulationStatus.GENERATING_WORLD
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speed_mode: SpeedMode = SpeedMode.LIVE
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rules_text: str = ""
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world_name: str = ""
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world_blueprint: WorldBlueprint | None = None
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agents_generated: int = 0
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agents_total: int = 25
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current_day: int = 0
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current_round: int = 0
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total_rounds: int = 0
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action_count: int = 0
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created_at: str = ""
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is_public: bool = False
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forked_from: str | None = None
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class SSEEvent(BaseModel):
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type: Literal[
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"status",
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"world_ready",
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"citizen_generated",
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"round_complete",
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"narrative",
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"fast_forward_summary",
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"metrics_update",
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"injection_result",
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"simulation_complete",
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"error",
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"cancelled",
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"life_event",
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"demographics_loaded",
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"anomaly_detected",
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"coherence_warning",
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]
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data: dict[str, Any] = Field(default_factory=dict)
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class ForkRequest(BaseModel):
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fork_at_day: int
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changes: str | None = None
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from __future__ import annotations
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from typing import Literal
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from pydantic import BaseModel, Field
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class Location(BaseModel):
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id: str
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name: str
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type: Literal["public", "commerce", "governance", "residential", "social"]
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description: str
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class TimeConfig(BaseModel):
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total_days: int = 365
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rounds_per_day: int = 3
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active_agents_per_round_min: int = 3
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active_agents_per_round_max: int = 10
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class WorldBlueprint(BaseModel):
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name: str
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description: str
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rules: list[str]
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locations: list[Location]
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resources: list[str]
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initial_tensions: list[str]
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time_config: TimeConfig
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class WorldMetrics(BaseModel):
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stability: float = Field(default=0.5, ge=0.0, le=1.0)
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prosperity: float = Field(default=0.5, ge=0.0, le=1.0)
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trust: float = Field(default=0.5, ge=0.0, le=1.0)
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freedom: float = Field(default=0.5, ge=0.0, le=1.0)
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conflict: float = Field(default=0.2, ge=0.0, le=1.0)
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brand_sentiment: float = Field(default=0.5, ge=0.0, le=1.0)
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purchase_intent: float = Field(default=0.5, ge=0.0, le=1.0)
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word_of_mouth: float = Field(default=0.0, ge=0.0, le=1.0)
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churn_risk: float = Field(default=0.2, ge=0.0, le=1.0)
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adoption_rate: float = Field(default=0.0, ge=0.0, le=1.0)
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information_spread: float = Field(default=0.0, ge=0.0, le=1.0)
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echo_chamber_index: float = Field(default=0.0, ge=0.0, le=1.0)
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rumor_distortion: float = Field(default=0.0, ge=0.0, le=1.0)
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class Institution(BaseModel):
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name: str
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purpose: str
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founder_id: int
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member_ids: list[int] = Field(default_factory=list)
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rules: list[str] = Field(default_factory=list)
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created_day: int = 0
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class Proposal(BaseModel):
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id: str
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proposer_id: int
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content: str
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votes_for: list[int] = Field(default_factory=list)
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votes_against: list[int] = Field(default_factory=list)
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status: Literal["open", "passed", "rejected"] = "open"
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created_round: int = 0
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class WorldState(BaseModel):
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blueprint: WorldBlueprint
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metrics: WorldMetrics = Field(default_factory=WorldMetrics)
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institutions: list[Institution] = Field(default_factory=list)
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proposals: list[Proposal] = Field(default_factory=list)
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day: int = 1
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round_in_day: int = 0
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active_disputes: list[str] = Field(default_factory=list)
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community_rules: list[str] = Field(default_factory=list)
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Block a user