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How to use print_job_result method in autotest

Best Python code snippet using autotest_python

ts_2019_ncov_dataprep_us.py

Source:ts_2019_ncov_dataprep_us.py

...11loader = Loader(client=client)12extractor = Extractor(client=client)13geo='us'14#### Functions ####15def print_job_result(job, client, max_results=20):16    job.result()17    bq_table = client.get_table(job.destination)18    df = client.list_rows(bq_table, max_results=max_results).to_dataframe()19    print(bq_table.full_table_id)20    print(df.head(max_results))21#### Load Data ####22confirmed = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_US.csv')23deaths = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_US.csv')24dt_cols = [datetime.datetime.strptime(dt, '%m/%d/%y').strftime('dt_%Y%m%d') for dt in list(confirmed.columns)[11:]]25# confirmed26confirmed_cols = ['UID', 'iso2', 'iso3', 'code3', 'FIPS', 'county', 'province_state', 'country_region', 'latitude', 'longitude', 'combined_key'] + dt_cols27confirmed.columns = confirmed_cols28confirmed_schema = [29    ('UID', 'INT64'),30    ('iso2', 'STRING'),31    ('iso3', 'STRING'),32    ('code3', 'INT64'),33    ('FIPS', 'INT64'),34    ('county', 'STRING'),35    ('province_state', 'STRING'),36    ('country_region', 'STRING'),37    ('latitude', 'FLOAT64'),38    ('longitude', 'FLOAT64'),39    ('combined_key', 'STRING'),40] + [(dt_col, 'INT64') for dt_col in dt_cols]41loader.load_df(confirmed, 'stanleysfang.surveillance_2019_ncov.ts_2019_ncov_{geo}_confirmed_raw'.format(geo=geo), schema=confirmed_schema)42# deaths43deaths_cols = confirmed_cols44deaths_cols.insert(11, 'population')45deaths.columns = deaths_cols46deaths_schema = confirmed_schema47deaths_schema.insert(11, ('population', 'INT64'))48loader.load_df(deaths, 'stanleysfang.surveillance_2019_ncov.ts_2019_ncov_{geo}_deaths_raw'.format(geo=geo), schema=deaths_schema)49for job in loader.job_history:50    print_job_result(job, client)51#### Dataprep ####52# restructure raw data53for metric in ['confirmed', 'deaths']:54    array_query = ''55    for dt_col in dt_cols:56        array_query = \57        """{array_query}58        STRUCT(PARSE_DATE('dt_%Y%m%d', '{dt_col}') AS dt, {dt_col} AS total_{metric}),59        """.format(array_query=array_query, dt_col=dt_col, metric=metric)60    array_query = re.sub('[,\n ]*$', '\n', array_query)61    62    query = \63    """64    SELECT dt, a.* EXCEPT(arr), total_{metric}65    FROM (66        SELECT67            county, province_state, country_region, combined_key, latitude, longitude,68            [{array_query}] AS arr69        FROM `stanleysfang.surveillance_2019_ncov.ts_2019_ncov_{geo}_{metric}_raw`70    ) a, UNNEST(arr)71    """.format(metric=metric, array_query=array_query, geo=geo)72    73    query_job = qr.run_query(query, destination_table='stanleysfang.surveillance_2019_ncov.ts_2019_ncov_{geo}_{metric}'.format(geo=geo, metric=metric), time_partitioning=True, partition_field='dt')74for job in qr.job_history:75    print_job_result(job, client)76# agg data77ts_2019_ncov_query = \78"""79SELECT80    dt, county, province_state, country_region, combined_key, latitude, longitude,81    population,82    total_confirmed, total_deaths, daily_new_confirmed, daily_new_deaths,83    ROUND(AVG(daily_new_confirmed) OVER(PARTITION BY combined_key ORDER BY dt ROWS BETWEEN 6 PRECEDING AND CURRENT ROW), 1) AS daily_new_confirmed_7d_ma,84    ROUND(AVG(daily_new_deaths) OVER(PARTITION BY combined_key ORDER BY dt ROWS BETWEEN 6 PRECEDING AND CURRENT ROW), 1) AS daily_new_deaths_7d_ma,85    ROUND(AVG(daily_new_confirmed) OVER(PARTITION BY combined_key ORDER BY dt ROWS BETWEEN 27 PRECEDING AND CURRENT ROW), 1) AS daily_new_confirmed_28d_ma,86    ROUND(AVG(daily_new_deaths) OVER(PARTITION BY combined_key ORDER BY dt ROWS BETWEEN 27 PRECEDING AND CURRENT ROW), 1) AS daily_new_deaths_28d_ma,87    IF(population = 0, NULL, ROUND(total_confirmed/population, 4)) AS incident_rate,88    IF(total_confirmed = 0, NULL, ROUND(total_deaths/total_confirmed, 4)) AS case_fatality_rate,89    MAX(dt) OVER() AS last_updated_dt,90    TIMESTAMP(REGEXP_REPLACE(STRING(CURRENT_TIMESTAMP, "America/Los_Angeles"), r'[\+-][0-9]{{2}}$', '')) AS last_updated_ts -- need the double bracket to avoid error with str.format91FROM (92    SELECT93        * EXCEPT(daily_new_confirmed, daily_new_deaths),94        IFNULL(daily_new_confirmed, total_confirmed) AS daily_new_confirmed,95        IFNULL(daily_new_deaths, total_deaths) AS daily_new_deaths96    FROM (97        SELECT98            *,99            total_confirmed - LAG(total_confirmed) OVER(PARTITION BY combined_key ORDER BY dt) AS daily_new_confirmed,100            total_deaths - LAG(total_deaths) OVER(PARTITION BY combined_key ORDER BY dt) AS daily_new_deaths101        FROM (102            SELECT103                a.*, b.population104            FROM (105                SELECT106                    COALESCE(a.dt, b.dt) AS dt,107                    COALESCE(a.county, b.county) AS county,108                    COALESCE(a.province_state, b.province_state) AS province_state,109                    COALESCE(a.country_region, b.country_region) AS country_region,110                    COALESCE(a.combined_key, b.combined_key) AS combined_key,111                    COALESCE(a.latitude, b.latitude) AS latitude,112                    COALESCE(a.longitude, b.longitude) AS longitude,113                    IFNULL(a.total_confirmed, 0) AS total_confirmed,114                    IFNULL(b.total_deaths, 0) AS total_deaths115                FROM `stanleysfang.surveillance_2019_ncov.ts_2019_ncov_{geo}_confirmed` a116                FULL JOIN `stanleysfang.surveillance_2019_ncov.ts_2019_ncov_{geo}_deaths` b117                ON a.dt = b.dt AND a.combined_key = b.combined_key118            ) a119            LEFT JOIN `stanleysfang.surveillance_2019_ncov.ts_2019_ncov_{geo}_deaths_raw` b120            ON a.combined_key = b.combined_key121        )122    )123)124""".format(geo=geo)125query_job = qr.run_query(ts_2019_ncov_query, destination_table='stanleysfang.surveillance_2019_ncov.ts_2019_ncov_{geo}'.format(geo=geo), time_partitioning=True, partition_field='dt')126print_job_result(query_job, client)127# US current table128us_cur_query = \129"""130SELECT *131FROM `stanleysfang.surveillance_2019_ncov.ts_2019_ncov_{geo}`132WHERE dt = last_updated_dt133""".format(geo=geo)134query_job = qr.run_query(us_cur_query, destination_table='stanleysfang.surveillance_2019_ncov.ts_2019_ncov_{geo}_cur'.format(geo=geo))135print_job_result(query_job, client)136#### Extract Table ####137extract_job = extractor.extract(query_job.destination, 'gs://surveillance_2019_ncov/ts_2019_ncov_{geo}_cur.csv'.format(geo=geo))...

master.py

Source:master.py

...46    print(f'\nWorker {worker}: {data}')47    client.sendall(bytes("EXECUTE_JOB", "utf-8"))48    client.sendall(bytes(job, "utf-8"))49    result = client.recv(1024).decode('utf-8')50    print_job_result(result, job)51    job_execution.pop(job)52    workers[worker] = 'ACTIVE'53def check_job_execution():54    print('---------------RESULT---------------')55    if not job_execution:56        print()57        print('There is no job can be execute')58    else:59        print('\n')60        for key in job_execution:61            print('Job '+key+' got executed in Worker Node : '+job_execution[key])62    print('------------------------------------')63def check_worker_availability():64    for worker, status in workers.items():65        try:66            client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)67            client.connect((worker, PORT))68            # Print Worker 'IP': Connection accepted69            data = client.recv(1024).decode('utf-8')70            print(f'\nWorker {worker}: {data}')71            # Print Worker 'IP': 'Status'72            client.send(bytes('CHECK_AVAILABILITY','utf-8'))73            data = client.recv(1024).decode('utf-8')74            workers[worker] = data75            print(f'Worker {worker}: {data}')76        except(OSError):77            print(f"Worker {worker}: DEAD")78            workers[worker] = 'DEAD'79            continue80def check_job():81    for worker, status_job in workers.items():82        try:83            client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)84            client.connect((worker, PORT))85            # Print Worker 'IP': Connection accepted86            data = client.recv(1024).decode('utf-8')87            print(f'\nWorker {worker}: {data}')88            # Print Worker 'IP': 'Status'89            client.send(bytes('CHECK_STATUS_JOB','utf-8'))90            data = client.recv(1024).decode('utf-8')91            workers[worker] = data92            print(f'Worker {worker}, Status Job= : {data}')93        except(OSError):94            print(f"Worker {worker}: DEAD")95            workers[worker] = 'DEAD'96            continue97def print_list_of_actions():98    states = "Action"99    action = input('\n{}\n{}\n{}\n{}\n{}\n{}\n{}\n{}\n{}'.format(100        '-------------------- WAITING FOR NEW ACTIONS --------------------',101        '*** List of actions: ***',102        "[1] Execute jobs on server",103        "[2] Check worker node availability",104        "[3] Check worker status job",105        "[4] Check execution place",106        "[0] Exit",107        '************************',108        "Input Action(just number): "))109    return int(action)110def print_list_of_jobs():111    states = "Job"112    # print('\n-------------------- Waiting for new jobs --------------------')113    job = input('\n{}\n{}\n{}\n{}\n{}\n{}'.format(114        "*** List of jobs: ***",115        "[1] List sorting. \nHOW TO USE: sort [list]",116        "[2] Book search. \nHOW TO USE: book_search \"Harry_potter\". \nNote: book title in quotes and separated with underscores (_)",117        "[3] Generate n-th fibonnaci number. \nHOW TO USE: fibonacci n",118        '*********************',119        "Input Job(pay attention to 'HOW TO USE'): "120    ))121    return job122def print_job_result(result, job):123    print('\n\n{}\n{}\n{}\n{}\n{}\n\n'.format(124        '-------------------------------------------- RESULT --------------------------------------------',125        f'RESULT FROM PREVIOUS "{job}" JOB',126        f'{result}',127        '***  To continue using the program, follow the instructions before this result section  ***',128        '------------------------------------------ END RESULT ------------------------------------------'))129    print(states)130if __name__ == '__main__':...

example_job.py

Source:example_job.py

...38        yield {'index': message.get('index', 0) * 10 + i,39               'job_arg1': job_arg1,40               'job_arg2': job_arg2}41@pipe_processor42def print_job_result(message, logger, job_arg1=None, job_arg2=None):43    logger.info('Job with parameters (%s, %s) result: %s',44                job_arg1, job_arg2, message.index)45job1 = Job('job1', job_arg1=context, job_arg2=context)46job2 = Job('job2', job_arg1=context)47job1_pipeline = job1(Message.log('Job 1 start message') >>48                     multiplicate >> multiplicate >> multiplicate >> multiplicate49                     ) >> print_job_result50job2_pipeline = job2(Message.log('Job 2 start message') >>51                     multiplicate >> multiplicate >> multiplicate >> multiplicate52                     ) >> print_job_result53program = Program(name='celery_example',54                  pipelines={55                      'start': Event.on_start >> Message.log('Program started'),56                      'job1': job1_pipeline,...

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