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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

8a7f64108b657b89e808c700386e1dc7

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.4.1.1_1 1041
1 NPL.1.1.3_1 5777
2 NPL.3.1.4_1 502
3 NPL.1.2.1_1 2371
4 NPL.2.1.1_1 446

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.4.1.1_1 1041
1 NPL.1.1.3_1 5777
2 NPL.3.1.4_1 502
3 NPL.1.2.1_1 2371
4 NPL.2.1.1_1 446

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

929deb4c32680f8731b0ac04491396be

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.4.1.1_1 1155
1 NPL.1.1.3_1 6627
2 NPL.3.1.4_1 561
3 NPL.1.2.1_1 2725
4 NPL.2.1.1_1 515

Alternative:

df = flowclient.get_result(
    connection=conn,
    query_spec=flowclient.aggregates.spatial_aggregate_spec(locations=ml),
)
df.head()
pcod value
0 NPL.4.1.1_1 1155
1 NPL.1.1.3_1 6627
2 NPL.3.1.4_1 561
3 NPL.1.2.1_1 2725
4 NPL.2.1.1_1 515

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

35ee5d8a35b0edb5d6e4d7e4e40eb3a5

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_1 893
1 NPL.1_1 NPL.4_1 650
2 NPL.1_1 NPL.3_1 443
3 NPL.1_1 NPL.2_1 1016
4 NPL.1_1 NPL.1_1 13337

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 32
1 NPL.1.1.3_1 2016-01-01 0 571
2 NPL.1.1.5_1 2016-01-01 0 46
3 NPL.1.1.6_1 2016-01-01 0 71
4 NPL.1.1.8_1 2016-01-01 0 65