Skip to content

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

c5fc684bf0caab09d7b03d0cf56abcd2

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_1 672
1 NPL.3.2.5_1 2029
2 NPL.4.1.1_1 416
3 NPL.1.3.3_1 417
4 NPL.1.1.3_1 4304

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_1 672
1 NPL.3.2.5_1 2029
2 NPL.4.1.1_1 416
3 NPL.1.3.3_1 417
4 NPL.1.1.3_1 4304

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

6833b4f2d9da890a7a7e59dd75692c90

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_1 761
1 NPL.3.2.5_1 2320
2 NPL.1.3.3_1 471
3 NPL.4.1.1_1 487
4 NPL.1.1.3_1 4906

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_1 761
1 NPL.3.2.5_1 2320
2 NPL.1.3.3_1 471
3 NPL.4.1.1_1 487
4 NPL.1.1.3_1 4906

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

7987d830836f89fabc34adb6d86fe363

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_1 943
1 NPL.1_1 NPL.4_1 576
2 NPL.1_1 NPL.3_1 459
3 NPL.1_1 NPL.2_1 962
4 NPL.1_1 NPL.1_1 11897

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 66
1 NPL.1.1.1_1 2016-01-01 1 81
2 NPL.1.1.1_1 2016-01-01 2 71
3 NPL.1.1.1_1 2016-01-01 3 81
4 NPL.1.1.1_1 2016-01-01 4 89