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
3022212e9227154aec201d1c39858fb3
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 | 134 |
1 | NPL.3.2.5_1 | 714 |
2 | NPL.4.1.1_1 | 800 |
3 | NPL.1.3.3_1 | 639 |
4 | NPL.1.1.3_1 | 4247 |
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 | 134 |
1 | NPL.3.2.5_1 | 714 |
2 | NPL.4.1.1_1 | 800 |
3 | NPL.1.3.3_1 | 639 |
4 | NPL.1.1.3_1 | 4247 |
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
87bd47c267a77811e4578a8115b781e8
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 | 150 |
1 | NPL.3.2.5_1 | 812 |
2 | NPL.4.1.1_1 | 945 |
3 | NPL.1.3.3_1 | 722 |
4 | NPL.1.1.3_1 | 4911 |
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 | 150 |
1 | NPL.3.2.5_1 | 812 |
2 | NPL.4.1.1_1 | 945 |
3 | NPL.1.3.3_1 | 722 |
4 | NPL.1.1.3_1 | 4911 |
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
e9d6b70867653ec34615ee2743701ebd
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 | 737 |
1 | NPL.1_1 | NPL.4_1 | 498 |
2 | NPL.1_1 | NPL.3_1 | 501 |
3 | NPL.1_1 | NPL.2_1 | 1205 |
4 | NPL.1_1 | NPL.1_1 | 11113 |
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 | 156 |
1 | NPL.1.1.1_1 | 2016-01-01 | 1 | 133 |
2 | NPL.1.1.1_1 | 2016-01-01 | 2 | 153 |
3 | NPL.1.1.1_1 | 2016-01-01 | 3 | 145 |
4 | NPL.1.1.1_1 | 2016-01-01 | 4 | 145 |