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Example usage

Example usage of FlowClient to run daily location, modal location and flow queries.

import flowclient

Create an access token

Generate an API access token using FlowAuth.

Create an API connection

Paste the access token from FlowAuth here as TOKEN

conn = flowclient.connect(
    url=os.getenv("FLOWAPI_URL", "http://localhost:9090"),
    token=TOKEN,
    ssl_certificate=os.getenv("SSL_CERTIFICATE_FILE"),
)

Daily location

Specify query parameters

query_spec = flowclient.aggregates.spatial_aggregate_spec(
    locations=flowclient.daily_location_spec(
        date="2016-01-01",
        aggregation_unit="admin3",
        method="last",
        subscriber_subset=None,
    )
)

query_spec
    {'locations': {'aggregation_unit': 'admin3',
               'date': '2016-01-01',
               'event_types': None,
               'geom_table': None,
               'geom_table_join_column': None,
               'hours': None,
               'mapping_table': None,
               'method': 'last',
               'query_kind': 'daily_location',
               'subscriber_subset': None},
 'query_kind': 'spatial_aggregate'}

Set query running

query_id = flowclient.run_query(connection=conn, query_spec=query_spec)
query_id

94480a4deac08a130c95bf2c384cda2e

Check status of query

flowclient.get_status(connection=conn, query_id=query_id)

executing

Get query result

df = flowclient.get_result_by_query_id(connection=conn, query_id=query_id)
df.head()
pcod value
0 NPL.2.1.2_1 237
1 NPL.3.2.2_1 394
2 NPL.1.2.6_1 289
3 NPL.2.1.4_1 924
4 NPL.2.1.3_1 938

Alternative (run query, wait for it to finish, and get result, in one function call):

df = flowclient.get_result(connection=conn, query_spec=query_spec)
df.head()
pcod value
0 NPL.2.1.2_1 237
1 NPL.3.2.2_1 394
2 NPL.1.2.6_1 289
3 NPL.2.1.4_1 924
4 NPL.2.1.3_1 938

Specify query parameters

Either explicitly from a set of daily locations:

dl1 = flowclient.daily_location_spec(
    date="2016-01-01",
    aggregation_unit="admin3",
    method="last",
    subscriber_subset=None,
)
dl2 = flowclient.daily_location_spec(
    date="2016-01-02",
    aggregation_unit="admin3",
    method="last",
    subscriber_subset=None,
)
ml = flowclient.modal_location_spec(locations=[dl1, dl2])

ml
    {'locations': [{'aggregation_unit': 'admin3',
                'date': '2016-01-01',
                'event_types': None,
                'geom_table': None,
                'geom_table_join_column': None,
                'hours': None,
                'mapping_table': None,
                'method': 'last',
                'query_kind': 'daily_location',
                'subscriber_subset': None},
               {'aggregation_unit': 'admin3',
                'date': '2016-01-02',
                'event_types': None,
                'geom_table': None,
                'geom_table_join_column': None,
                'hours': None,
                'mapping_table': None,
                'method': 'last',
                'query_kind': 'daily_location',
                'subscriber_subset': None}],
 'query_kind': 'modal_location'}

Or from a date range:

ml = flowclient.modal_location_from_dates_spec(
    start_date="2016-01-01",
    end_date="2016-01-03",
    aggregation_unit="admin3",
    method="last",
    subscriber_subset=None,
)

ml
    {'locations': [{'aggregation_unit': 'admin3',
                'date': '2016-01-01',
                'event_types': None,
                'geom_table': None,
                'geom_table_join_column': None,
                'hours': None,
                'mapping_table': None,
                'method': 'last',
                'query_kind': 'daily_location',
                'subscriber_subset': None},
               {'aggregation_unit': 'admin3',
                'date': '2016-01-02',
                'event_types': None,
                'geom_table': None,
                'geom_table_join_column': None,
                'hours': None,
                'mapping_table': None,
                'method': 'last',
                'query_kind': 'daily_location',
                'subscriber_subset': None}],
 'query_kind': 'modal_location'}

Set query running

query_id = flowclient.run_query(
    connection=conn,
    query_spec=flowclient.aggregates.spatial_aggregate_spec(locations=ml),
)
query_id

cf50dd0b7452f43fd4a55602a1afb9c9

Check status of query

flowclient.get_status(connection=conn, query_id=query_id)

executing

Get query result

df = flowclient.get_result_by_query_id(connection=conn, query_id=query_id)
df.head()
pcod value
0 NPL.2.1.2_1 256
1 NPL.3.2.2_1 451
2 NPL.1.2.6_1 322
3 NPL.2.1.4_1 1052
4 NPL.2.1.3_1 1063

Alternative:

df = flowclient.get_result(
    connection=conn,
    query_spec=flowclient.aggregates.spatial_aggregate_spec(locations=ml),
)
df.head()
pcod value
0 NPL.2.1.2_1 256
1 NPL.3.2.2_1 451
2 NPL.1.2.6_1 322
3 NPL.2.1.4_1 1052
4 NPL.2.1.3_1 1063

Flow

Specify query parameters

Specify parameters for two location queries:

aggregation_unit = "admin1"
dl_past = flowclient.daily_location_spec(
    date="2016-01-01",
    aggregation_unit=aggregation_unit,
    method="last",
    subscriber_subset=None,
)
dl_present = flowclient.daily_location_spec(
    date="2016-01-07",
    aggregation_unit=aggregation_unit,
    method="last",
    subscriber_subset=None,
)

Specify parameters for flow query:

flow = flowclient.aggregates.flows_spec(
    from_location=dl_past,
    to_location=dl_present,
)
flow
    {'from_location': {'aggregation_unit': 'admin1',
                   'date': '2016-01-01',
                   'event_types': None,
                   'geom_table': None,
                   'geom_table_join_column': None,
                   'hours': None,
                   'mapping_table': None,
                   'method': 'last',
                   'query_kind': 'daily_location',
                   'subscriber_subset': None},
 'join_type': 'inner',
 'query_kind': 'flows',
 'to_location': {'aggregation_unit': 'admin1',
                 'date': '2016-01-07',
                 'event_types': None,
                 'geom_table': None,
                 'geom_table_join_column': None,
                 'hours': None,
                 'mapping_table': None,
                 'method': 'last',
                 'query_kind': 'daily_location',
                 'subscriber_subset': None}}

Set query running

query_id = flowclient.run_query(connection=conn, query_spec=flow)
query_id

ff2126a22e370319a7bd3b4d1ade3487

Check status of query

flowclient.get_status(connection=conn, query_id=query_id)

executing

Get query result

df = flowclient.get_result_by_query_id(connection=conn, query_id=query_id)
df.head()
pcod_from pcod_to value
0 NPL.1_1 NPL.5_1 505
1 NPL.1_1 NPL.4_1 503
2 NPL.1_1 NPL.3_1 669
3 NPL.1_1 NPL.2_1 1113
4 NPL.1_1 NPL.1_1 10626

Counts of Events by Location

df = flowclient.get_result(
    connection=conn,
    query_spec=flowclient.aggregates.location_event_counts_spec(
        start_date="2016-01-01",
        end_date="2016-01-08",
        aggregation_unit="admin3",
        count_interval="hour",
    ),
)
df.head()
pcod date hour value
0 NPL.1.1.1_1 2016-01-01 0 26
1 NPL.1.1.1_1 2016-01-01 1 25
2 NPL.1.1.1_1 2016-01-01 2 25
3 NPL.1.1.1_1 2016-01-01 3 27
4 NPL.1.1.1_1 2016-01-01 4 16