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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

9dae468d8d84a926e5aa0813a0057e3f

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.2.3.3_1 638
1 NPL.3.2.5_1 1594
2 NPL.1.3.3_1 714
3 NPL.4.1.1_1 205
4 NPL.1.1.3_1 4657

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.2.3.3_1 638
1 NPL.3.2.5_1 1594
2 NPL.1.3.3_1 714
3 NPL.4.1.1_1 205
4 NPL.1.1.3_1 4657

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

42e8e62f5c5dc39d7a7d5b5ed0d777fc

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.2.3.3_1 721
1 NPL.3.2.5_1 1781
2 NPL.1.3.3_1 822
3 NPL.4.1.1_1 241
4 NPL.1.1.3_1 5382

Alternative:

df = flowclient.get_result(
    connection=conn,
    query_spec=flowclient.aggregates.spatial_aggregate_spec(locations=ml),
)
df.head()
pcod value
0 NPL.2.3.3_1 721
1 NPL.3.2.5_1 1781
2 NPL.1.3.3_1 822
3 NPL.4.1.1_1 241
4 NPL.1.1.3_1 5382

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

f72b2ca5d7aec2a0dcabf11e43a27940

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_1 697
1 NPL.1_1 NPL.4_1 440
2 NPL.1_1 NPL.3_1 701
3 NPL.1_1 NPL.2_1 1054
4 NPL.1_1 NPL.1_1 12364

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 19
1 NPL.1.1.1_1 2016-01-01 2 17
2 NPL.1.1.1_1 2016-01-01 3 21
3 NPL.1.1.1_1 2016-01-01 4 17
4 NPL.1.1.1_1 2016-01-01 7 17