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.2.3.3_1 | 194 |
| 1 | NPL.5.1.2_1 | 282 |
| 2 | NPL.3.2.5_1 | 1537 |
| 3 | NPL.4.1.1_1 | 737 |
| 4 | NPL.1.3.3_1 | 1029 |
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 | 194 |
| 1 | NPL.5.1.2_1 | 282 |
| 2 | NPL.3.2.5_1 | 1537 |
| 3 | NPL.4.1.1_1 | 737 |
| 4 | NPL.1.3.3_1 | 1029 |
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.2.3.3_1 | 239 |
| 1 | NPL.5.1.2_1 | 294 |
| 2 | NPL.3.2.5_1 | 1756 |
| 3 | NPL.1.3.3_1 | 1187 |
| 4 | NPL.4.1.1_1 | 863 |
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 | 239 |
| 1 | NPL.5.1.2_1 | 294 |
| 2 | NPL.3.2.5_1 | 1756 |
| 3 | NPL.1.3.3_1 | 1187 |
| 4 | NPL.4.1.1_1 | 863 |
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 | 610 |
| 1 | NPL.1_1 | NPL.4_1 | 644 |
| 2 | NPL.1_1 | NPL.3_1 | 678 |
| 3 | NPL.1_1 | NPL.2_1 | 998 |
| 4 | NPL.1_1 | NPL.1_1 | 11604 |
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 | 29 |
| 1 | NPL.1.1.2_1 | 2016-01-01 | 0 | 115 |
| 2 | NPL.1.1.3_1 | 2016-01-01 | 0 | 476 |
| 3 | NPL.1.1.5_1 | 2016-01-01 | 0 | 133 |
| 4 | NPL.1.1.6_1 | 2016-01-01 | 0 | 33 |