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
df430e1e3aaefdd8e5277bb0258e6aaa
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 | 1364 |
1 | NPL.1.1.3_1 | 4852 |
2 | NPL.1.2.5_1 | 992 |
3 | NPL.1.1.2_1 | 219 |
4 | NPL.1.2.3_1 | 682 |
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 | 1364 |
1 | NPL.1.1.3_1 | 4852 |
2 | NPL.1.2.5_1 | 992 |
3 | NPL.1.1.2_1 | 219 |
4 | NPL.1.2.3_1 | 682 |
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
1f0406393159d4e437e77fa36c84f493
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 | 1563 |
1 | NPL.1.1.3_1 | 5487 |
2 | NPL.1.2.5_1 | 1156 |
3 | NPL.1.1.2_1 | 242 |
4 | NPL.1.2.3_1 | 825 |
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 | 1563 |
1 | NPL.1.1.3_1 | 5487 |
2 | NPL.1.2.5_1 | 1156 |
3 | NPL.1.1.2_1 | 242 |
4 | NPL.1.2.3_1 | 825 |
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
176c1dbf7f872bcbe785fbd372b8ce59
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 | 757 |
1 | NPL.1_1 | NPL.4_1 | 314 |
2 | NPL.1_1 | NPL.3_1 | 429 |
3 | NPL.1_1 | NPL.2_1 | 1188 |
4 | NPL.1_1 | NPL.1_1 | 9713 |
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 | 27 |
1 | NPL.1.1.1_1 | 2016-01-01 | 1 | 32 |
2 | NPL.1.1.1_1 | 2016-01-01 | 2 | 24 |
3 | NPL.1.1.1_1 | 2016-01-01 | 3 | 34 |
4 | NPL.1.1.1_1 | 2016-01-01 | 4 | 26 |