44 lines
1.0 KiB
Python
44 lines
1.0 KiB
Python
from typing import Callable
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from flask import Flask, request, jsonify
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from image_prediction.utils import get_logger
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logger = get_logger()
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def make_prediction_server(predict_fn: Callable):
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app = Flask(__name__)
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@app.route("/ready", methods=["GET"])
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def ready():
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resp = jsonify("OK")
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resp.status_code = 200
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return resp
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@app.route("/health", methods=["GET"])
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def healthy():
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resp = jsonify("OK")
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resp.status_code = 200
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return resp
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@app.route("/", methods=["POST"])
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def predict():
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pdf = request.data
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logger.debug("Running predictor on document...")
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try:
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predictions = predict_fn(pdf)
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response = jsonify(predictions)
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logger.info("Analysis completed.")
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return response
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except Exception as err:
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logger.error("Analysis failed.")
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logger.exception(err)
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response = jsonify("Analysis failed.")
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response.status_code = 500
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return response
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return app
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