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
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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.1.2.4_1 | 219 |
1 | NPL.4.2.3_1 | 431 |
2 | NPL.5.2.3_1 | 272 |
3 | NPL.3.2.2_1 | 211 |
4 | NPL.1.2.6_1 | 600 |
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.1.2.4_1 | 219 |
1 | NPL.4.2.3_1 | 431 |
2 | NPL.5.2.3_1 | 272 |
3 | NPL.3.2.2_1 | 211 |
4 | NPL.1.2.6_1 | 600 |
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
970d23ccefeaf136d8fdb9c832885ba8
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.1.2.4_1 | 249 |
1 | NPL.4.2.3_1 | 501 |
2 | NPL.5.2.3_1 | 297 |
3 | NPL.3.2.2_1 | 238 |
4 | NPL.1.2.6_1 | 691 |
Alternative:
df = flowclient.get_result(
connection=conn,
query_spec=flowclient.aggregates.spatial_aggregate_spec(locations=ml),
)
df.head()
pcod | value | |
---|---|---|
0 | NPL.1.2.4_1 | 249 |
1 | NPL.4.2.3_1 | 501 |
2 | NPL.5.2.3_1 | 297 |
3 | NPL.3.2.2_1 | 238 |
4 | NPL.1.2.6_1 | 691 |
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
d0b693a5514b1b5248a738b4460aa49f
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 | 679 |
1 | NPL.1_1 | NPL.4_1 | 405 |
2 | NPL.1_1 | NPL.3_1 | 555 |
3 | NPL.1_1 | NPL.2_1 | 1082 |
4 | NPL.1_1 | NPL.1_1 | 9950 |
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 | 21 |
1 | NPL.1.1.1_1 | 2016-01-01 | 1 | 27 |
2 | NPL.1.1.1_1 | 2016-01-01 | 2 | 25 |
3 | NPL.1.1.1_1 | 2016-01-01 | 3 | 19 |
4 | NPL.1.1.1_1 | 2016-01-01 | 4 | 22 |