5d6747f7a58c6cd088b70adbecfce05e9b8ca4f3,mltsp/run_in_docker_container.py,,featurize_in_docker_container,#Any#Any#Any#Any#Any#Any#Any#,16

Before Change


        pickle.dump(arguments, f, protocol=2)
    try:
        // run the docker container
        cmd = ["docker", "run",
                "-v", "%s:/home/mltsp" % cfg.PROJECT_PATH,
                "-v", "%s:%s" % (cfg.FEATURES_FOLDER, "/Data/features"),
                "-v", "%s:%s" % (cfg.UPLOAD_FOLDER, "/Data/flask_uploads"),
                "-v", "%s:%s" % (cfg.MODELS_FOLDER, "/Data/models"),
                "--name=%s" % container_name,
                "mltsp/featurize"]
        process = Popen(cmd, stdout=PIPE, stderr=PIPE)
        stdout, stderr = process.communicate()
        print("\n\ndocker container stdout:\n\n", str(stdout),
              "\n\ndocker container stderr:\n\n", str(stderr), "\n\n")

        // copy all necessary files produced in docker container to host
        for file_suffix in [
            "features.csv", "features_with_classes.csv", "classes.pkl"]:
            cmd = [
                "docker", "cp", "%s:/tmp/%s_%s" %
                    (container_name, featureset_key, file_suffix),
                cfg.FEATURES_FOLDER]
            status_code = call(cmd, stdout=PIPE, stderr=PIPE)
            print(
                os.path.join(
                    cfg.FEATURES_FOLDER,"%s_%s" % (featureset_key,
                                                   file_suffix)),
                "copied to host machine - status code %s" % str(status_code))

        shutil.copy2(
            os.path.join(

After Change



    try:
        // Instantiate Docker client
        client = Client(base_url="unix://var/run/docker.sock")
        // Create container
        cont_id = container_name = client.create_container(
            "mltsp/featurize",
            volumes={"/home/mltsp": "", "/Data": ""})["Id"]
        // Start container
        client.start(cont_id,
                     binds={cfg.PROJECT_PATH: {"bind": "/home/mltsp"},
                            cfg.DATA_PATH: {"bind": "/Data"}})
        // Wait for process to complete
        client.wait(cont_id)
        stdout = client.logs(container=cont_id, stdout=True)
        stderr = client.logs(container=cont_id, stderr=True)
        // Copy resulting data files from container to host machine
        for file_suffix in [
            "features.csv", "features_with_classes.csv", "classes.pkl"]:
            path = "/tmp/%s_%s" % (featureset_key, file_suffix)
            target = cfg.FEATURES_FOLDER
            docker_copy(client, cont_id, path, target=target)
            print(
                os.path.join(
                    cfg.FEATURES_FOLDER,"%s_%s" % (featureset_key,
                                                   file_suffix)),
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 18

Instances


Project Name: cesium-ml/cesium
Commit Name: 5d6747f7a58c6cd088b70adbecfce05e9b8ca4f3
Time: 2015-02-24
Author: a.crellinquick@gmail.com
File Name: mltsp/run_in_docker_container.py
Class Name:
Method Name: featurize_in_docker_container


Project Name: cesium-ml/cesium
Commit Name: 5d6747f7a58c6cd088b70adbecfce05e9b8ca4f3
Time: 2015-02-24
Author: a.crellinquick@gmail.com
File Name: mltsp/run_in_docker_container.py
Class Name:
Method Name: featurize_in_docker_container


Project Name: cesium-ml/cesium
Commit Name: dd4ebd98a0026f626242f30cf9688d61b4798af1
Time: 2015-02-27
Author: a.crellinquick@gmail.com
File Name: mltsp/custom_feature_tools.py
Class Name:
Method Name: extract_feats_in_docker_container


Project Name: cesium-ml/cesium
Commit Name: dd4ebd98a0026f626242f30cf9688d61b4798af1
Time: 2015-02-27
Author: a.crellinquick@gmail.com
File Name: mltsp/run_in_docker_container.py
Class Name:
Method Name: predict_in_docker_container