Janady13/AI_Brain / services/seeder_api/app.py

Source identity

Field	Recorded value
Source type	GitHub source
Original record	Janady13/AI_Brain / services/seeder_api/app.py
Date	Not specified in source
Repository	Janady13/AI_Brain
Revision	cdb497ece2d1a770ca8c83eb1de8923cfaa9eceb
Branch	feature/seeder-engine-tests
Path or archive member	services/seeder_api/app.py
Original SHA-256	9ba0b79c845fb3a5b5e334d70c41e6233ec178d662365d7e3159b3f7973d6d45
Git blob SHA	cab95180041108c4663c2cac8bd3a8613e43f28f
Reading-copy SHA-256	9ba0b79c845fb3a5b5e334d70c41e6233ec178d662365d7e3159b3f7973d6d45

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#!/usr/bin/env python3
import os
import time
from fastapi import FastAPI
from pydantic import BaseModel

APP_NAME = os.getenv("APP_NAME", "HiveSeedAPI")
START_TS = time.time()

app = FastAPI(title=APP_NAME)


class Health(BaseModel):
    status: str
    uptime_seconds: float


class Ready(BaseModel):
    ready: bool
    reason: str | None = None


@app.get("/healthz", response_model=Health)
def healthz() -> Health:
    return Health(status="ok", uptime_seconds=time.time() - START_TS)


@app.get("/readyz", response_model=Ready)
def readyz() -> Ready:
    # Minimal readiness: enumerations exist or DRY_RUN enabled
    base = os.path.join(os.path.dirname(__file__), "..", "..", "daemon", "enumerations")
    files = [
        os.path.join(base, "math_model_500.txt"),
        os.path.join(base, "agent_500.txt"),
        os.path.join(base, "language_500.txt"),
        os.path.join(base, "prophecy_500.txt"),
    ]
    if all(os.path.isfile(p) for p in files):
        return Ready(ready=True)
    if os.getenv("DRY_RUN", "0").lower() in {"1", "true", "yes", "on"}:
        return Ready(ready=True, reason="DRY_RUN enabled")
    return Ready(ready=False, reason="Enumerations missing; run make enumerations")