72 lines
2.2 KiB
Python
72 lines
2.2 KiB
Python
#!/usr/bin/env python3
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# Copyright 2010-2025 Google LLC
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Example of solving a MathOpt model through the OR API.
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The model is built using the Python API, and the corresponding proto is
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serialize to JSON to make the HTTP request.
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"""
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from collections.abc import Sequence
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from absl import app
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from absl import flags
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from ortools.math_opt.python import mathopt
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from ortools.math_opt.python.ipc import remote_http_solve
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_API_KEY = flags.DEFINE_string("api_key", None, "API key for the OR API")
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def request_example() -> None:
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"""Run example using MathOpt `remote_http_solve` function."""
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# Set up the API key.
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api_key = _API_KEY.value
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if not api_key:
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print(
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"API key is required. See"
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" https://developers.google.com/optimization/service/setup for"
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" instructions."
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)
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return
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# Build a MathOpt model
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model = mathopt.Model(name="my_model")
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x = model.add_binary_variable(name="x")
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y = model.add_variable(lb=0.0, ub=2.5, name="y")
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model.add_linear_constraint(x + y <= 1.5, name="c")
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model.maximize(2 * x + y)
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try:
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result, logs = remote_http_solve.remote_http_solve(
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model,
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mathopt.SolverType.GSCIP,
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mathopt.SolveParameters(enable_output=True),
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api_key=api_key,
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)
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print("Objective value: ", result.objective_value())
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print("x: ", result.variable_values(x))
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print("y: ", result.variable_values(y))
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print("\n".join(logs))
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except remote_http_solve.OptimizationServiceError as err:
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print(err)
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def main(argv: Sequence[str]) -> None:
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del argv # Unused.
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request_example()
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if __name__ == "__main__":
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app.run(main)
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