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fc7db98 29ad923 fc7db98 29ad923 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 | """FastAPI backend for Railway — word complexity inference."""
from __future__ import annotations
import os
from contextlib import asynccontextmanager
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from app.config import CORS_ORIGINS, MODEL_PATH
from app.schemas import (
AlterComplexityRequest,
AlterComplexityResponse,
EfficiencyRequest,
EfficiencyResponse,
HealthResponse,
InterveneAllRequest,
InterveneAllResponse,
InterveneRequest,
InterveneResponse,
PredictRequest,
PredictResponse,
)
from app.services.efficiency import compare_efficiency
from app.services.interventions import run_intervention
from app.services.model import get_predictor, model_status, predict
@asynccontextmanager
async def lifespan(_app: FastAPI):
if os.environ.get("EAGER_LOAD_MODEL", "1") == "1":
try:
get_predictor()
except RuntimeError as exc:
print(f"WARN: model not loaded at startup: {exc}")
yield
app = FastAPI(title="Word Complexity API", version="1.0.0", lifespan=lifespan)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"] if os.environ.get("CORS_ALLOW_ALL") == "1" else CORS_ORIGINS,
allow_credentials=os.environ.get("CORS_ALLOW_ALL") != "1",
allow_methods=["*"],
allow_headers=["*"],
)
@app.get("/")
def root():
ready, err = model_status()
return {
"service": "Word Complexity API",
"health": "/health",
"docs": "/docs",
"model_ready": ready,
"model_error": err,
}
@app.get("/health", response_model=HealthResponse)
def health():
ready, err = model_status()
return HealthResponse(
status="ok" if ready else "degraded",
model_path=str(MODEL_PATH),
model_ready=ready,
model_error=err,
)
@app.post("/api/predict", response_model=PredictResponse)
def api_predict(body: PredictRequest):
try:
data, latency_ms, target_in = predict(body.sentence.strip(), body.target_word.strip())
except RuntimeError as exc:
raise HTTPException(status_code=503, detail=str(exc)) from exc
return PredictResponse(**data, latency_ms=latency_ms, target_in_sentence=target_in)
@app.post("/api/intervene", response_model=InterveneResponse)
def api_intervene(body: InterveneRequest):
try:
predictor = get_predictor()
detail = run_intervention(
predictor,
body.sentence.strip(),
body.target_word.strip(),
body.reason,
body.use_llm,
)
except RuntimeError as exc:
raise HTTPException(status_code=503, detail=str(exc)) from exc
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
return InterveneResponse(intervention=detail)
@app.post("/api/intervene/all", response_model=InterveneAllResponse)
def api_intervene_all(body: InterveneAllRequest):
try:
predictor = get_predictor()
base = predictor.predict(body.sentence.strip(), body.target_word.strip())
from utils import REASON_ORDER
results = [
run_intervention(
predictor,
body.sentence.strip(),
body.target_word.strip(),
reason,
body.use_llm,
predicted_reason=body.predicted_reason,
)
for reason in REASON_ORDER
]
except RuntimeError as exc:
raise HTTPException(status_code=503, detail=str(exc)) from exc
best = max(results, key=lambda r: r.hardness_drop)
faithful = None
if body.predicted_reason:
faithful = best.reason == body.predicted_reason
return InterveneAllResponse(
base_level=base.complexity_level,
results=results,
best_reason=best.reason,
faithful=faithful,
)
@app.post("/api/efficiency", response_model=EfficiencyResponse)
def api_efficiency(body: EfficiencyRequest):
return compare_efficiency(body.sentence.strip(), body.target_word.strip(), body.local_latency_ms)
@app.post("/api/alter", response_model=AlterComplexityResponse)
def api_alter(body: AlterComplexityRequest):
from reason_interventions import alter_complexity
try:
result = alter_complexity(
body.reason,
body.sentence.strip(),
body.target_word.strip(),
body.direction,
)
except RuntimeError as exc:
raise HTTPException(status_code=503, detail=str(exc)) from exc
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
if result.reason == "Lexical Rarity":
updates = "Updated sentence and target word above — click Predict again."
else:
updates = "Updated sentence above (target word unchanged) — click Predict again."
return AlterComplexityResponse(
reason=result.reason,
direction=result.direction,
original_sentence=result.original_sentence,
original_target_word=result.original_target,
new_sentence=result.new_sentence,
new_target_word=result.new_target,
edit_method=result.edit_method,
explanation=result.explanation,
updates=updates,
)
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