How to use IBM® App Connect with The Weather Company
The Weather Company enables users to gain accurate insights and make informed decisions based on upcoming weather forecasts.
App Connect Enterprise as a Service connector
Local connector in containers (Continuous Delivery release)
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Local connector in containers (Long Term Support Cycle-2 release)
Supported product and API versions
To find out which product and API versions this connector supports, see Detailed System Requirements on the IBM Support page.
Connecting to The Weather Company
Complete the connection fields that you see in the App Connect Designer page or flow editor. If necessary, work with your The Weather Company administrator to obtain these values.
The Weather Company connection fields:
- BASIC
- Account name: Provide a meaningful name to your account that helps you to identify it.
- BASIC JWT
- Account name: Provide a meaningful name to your account that helps you to identify it.
To obtain the connection values for The Weather Company, see Obtaining connection values for The Weather Company
To connect to a The Weather Company endpoint from the App Connect Designer Applications and APIs page for the first time, expand The Weather Company, then click Connect.
Before you use the account that is created in App Connect in a flow, rename the account to something meaningful that helps you to identify it. To rename the account on the Applications and APIs page, select the account, open its options menu (⋮), then click Rename Account.
General considerations
Before you use App Connect Designer with The Weather Company, take note of the following considerations:
- To specify a location it is best to use geocode values; as
latitude,longitudecoordinates. (Weather data generally are stored and accessed in grids, and sending a postcode means the system has to look up the nearest grid point, which can introduce errors.) - If you want to find the value for a location Place ID, you can use a
location action in a flow or use the The Weather Company API. For
example, you can use the Get location by point action with a geocode value or
use the following API call:
https://api.weather.com/v3/location/point?geocode=lat,long&language=en-US&format=json&apiKey=yourApiKey - The Get forecast action returns the weather foreacast for the next 14
days (as Agg1 through Agg14) starting from tomorrow. The following example shows the kind of
response that is returned for this action.
{ "point": { "id": null, "lat": 51.03, "lon": -1.4 }, "aggs": [ { "Date": "2022-03-02", "Gust": { "LOCAL_DAY": { "min": 7, "max": 7, "avg": 7 }, "LOCAL_DAYTIME": { "min": 7, "max": 7, "avg": 7 }, "LOCAL_NIGHTTIME": { "min": null, "max": null, "avg": null }, "LOCAL_MORNING": { "min": null, "max": null, "avg": null }, "LOCAL_AFTERNOON": { "min": 7, "max": 7, "avg": 7 }, "LOCAL_EVENING": { "min": null, "max": null, "avg": null }, "LOCAL_OVERNIGHT": { "min": null, "max": null, "avg": null } }, "PrecipAmount": { "LOCAL_DAY": { "min": 0, "max": 0.66, "avg": 0.2520833333333333 }, "LOCAL_DAYTIME": { "min": 0, "max": 0.45, "avg": 0.18916666666666668 }, "LOCAL_NIGHTTIME": { "min": 0, "max": 0.1, "avg": 0.02666666666666667 }, "LOCAL_MORNING": { "min": 0.2, "max": 0.45, "avg": 0.30833333333333335 }, "LOCAL_AFTERNOON": { "min": 0, "max": 0.12, "avg": 0.07 }, "LOCAL_EVENING": { "min": 0, "max": 0, "avg": 0 }, "LOCAL_OVERNIGHT": { "min": 0, "max": 0.1, "avg": 0.05333333333333334 } }, "RelativeHumidity": { "LOCAL_DAY": { "min": 88, "max": 98, "avg": 93.875 }, "LOCAL_DAYTIME": { "min": 88, "max": 98, "avg": 93 }, "LOCAL_NIGHTTIME": { "min": 90, "max": 97, "avg": 93.5 }, "LOCAL_MORNING": { "min": 92, "max": 98, "avg": 96.16666666666667 }, "LOCAL_AFTERNOON": { "min": 88, "max": 92, "avg": 89.83333333333333 }, "LOCAL_EVENING": { "min": 90, "max": 95, "avg": 91.33333333333333 }, "LOCAL_OVERNIGHT": { "min": 94, "max": 97, "avg": 95.66666666666667 } }, "Temperature": { "LOCAL_DAY": { "min": 279, "max": 282, "avg": 280.2916666666667 }, "LOCAL_DAYTIME": { "min": 280, "max": 282, "avg": 280.75 }, "LOCAL_NIGHTTIME": { "min": 279, "max": 281, "avg": 280 }, "LOCAL_MORNING": { "min": 280, "max": 281, "avg": 280.5 }, "LOCAL_AFTERNOON": { "min": 280, "max": 282, "avg": 281 }, "LOCAL_EVENING": { "min": 279, "max": 280, "avg": 279.6666666666667 }, "LOCAL_OVERNIGHT": { "min": 280, "max": 281, "avg": 280.3333333333333 } }, "WindSpeed": { "LOCAL_DAY": { "min": 3, "max": 4, "avg": 3.75 }, "LOCAL_DAYTIME": { "min": 3, "max": 4, "avg": 3.9166666666666665 }, "LOCAL_NIGHTTIME": { "min": 3, "max": 3, "avg": 3 }, "LOCAL_MORNING": { "min": 4, "max": 4, "avg": 4 }, "LOCAL_AFTERNOON": { "min": 3, "max": 4, "avg": 3.8333333333333335 }, "LOCAL_EVENING": { "min": 3, "max": 3, "avg": 3 }, "LOCAL_OVERNIGHT": { "min": 3, "max": 3, "avg": 3 } } }, ... { "Date": "2022-03-15", "Gust": { "LOCAL_DAY": { "min": 7, "max": 10, "avg": 8.764705882352942 }, "LOCAL_DAYTIME": { "min": 7, "max": 10, "avg": 9 }, "LOCAL_NIGHTTIME": { "min": 8, "max": 9, "avg": 8.5 }, "LOCAL_MORNING": { "min": 7, "max": 10, "avg": 8.666666666666666 }, "LOCAL_AFTERNOON": { "min": 8, "max": 10, "avg": 9.333333333333334 }, "LOCAL_EVENING": { "min": 8, "max": 9, "avg": 8.333333333333334 }, "LOCAL_OVERNIGHT": { "min": 8, "max": 9, "avg": 8.75 } }, "PrecipAmount": { "LOCAL_DAY": { "min": 0, "max": 0.28, "avg": 0.14916666666666667 }, "LOCAL_DAYTIME": { "min": 0, "max": 0.2, "avg": 0.16666666666666666 }, "LOCAL_NIGHTTIME": { "min": 0, "max": 0.28, "avg": 0.14833333333333334 }, "LOCAL_MORNING": { "min": 0.2, "max": 0.2, "avg": 0.20000000000000004 }, "LOCAL_AFTERNOON": { "min": 0, "max": 0.2, "avg": 0.13333333333333333 }, "LOCAL_EVENING": { "min": 0, "max": 0.28, "avg": 0.1466666666666667 }, "LOCAL_OVERNIGHT": { "min": 0.1, "max": 0.2, "avg": 0.15 } }, "RelativeHumidity": { "LOCAL_DAY": { "min": 74, "max": 88, "avg": 82.58333333333333 }, "LOCAL_DAYTIME": { "min": 74, "max": 88, "avg": 79.25 }, "LOCAL_NIGHTTIME": { "min": 82, "max": 87, "avg": 85.41666666666667 }, "LOCAL_MORNING": { "min": 75, "max": 88, "avg": 82.33333333333333 }, "LOCAL_AFTERNOON": { "min": 74, "max": 80, "avg": 76.16666666666667 }, "LOCAL_EVENING": { "min": 82, "max": 87, "avg": 84 }, "LOCAL_OVERNIGHT": { "min": 86, "max": 87, "avg": 86.83333333333333 } }, "Temperature": { "LOCAL_DAY": { "min": 280, "max": 284, "avg": 281.7083333333333 }, "LOCAL_DAYTIME": { "min": 280, "max": 284, "avg": 282.6666666666667 }, "LOCAL_NIGHTTIME": { "min": 280, "max": 282, "avg": 281.0833333333333 }, "LOCAL_MORNING": { "min": 280, "max": 284, "avg": 281.6666666666667 }, "LOCAL_AFTERNOON": { "min": 283, "max": 284, "avg": 283.6666666666667 }, "LOCAL_EVENING": { "min": 281, "max": 282, "avg": 281.5 }, "LOCAL_OVERNIGHT": { "min": 280, "max": 281, "avg": 280.6666666666667 } }, "WindSpeed": { "LOCAL_DAY": { "min": 5, "max": 8, "avg": 6.5 }, "LOCAL_DAYTIME": { "min": 6, "max": 8, "avg": 7 }, "LOCAL_NIGHTTIME": { "min": 6, "max": 7, "avg": 6.583333333333333 }, "LOCAL_MORNING": { "min": 6, "max": 8, "avg": 6.666666666666667 }, "LOCAL_AFTERNOON": { "min": 6, "max": 8, "avg": 7.333333333333333 }, "LOCAL_EVENING": { "min": 6, "max": 7, "avg": 6.5 }, "LOCAL_OVERNIGHT": { "min": 6, "max": 7, "avg": 6.666666666666667 } } } ], "datesAscending": [ "2022-03-02", "2022-03-03", "2022-03-04", "2022-03-05", "2022-03-06", "2022-03-07", "2022-03-08", "2022-03-09", "2022-03-10", "2022-03-11", "2022-03-12", "2022-03-13", "2022-03-14", "2022-03-15" ] } - A Get forecast action can sometimes return null values for some forecast
variables; for example, null is reported for wind gusts when there is nothing significant over the
average wind speeds. To test for null cases, you can use the JSONata
isNull(variable); for example, a variable might be given the following JSONata expression:$isNull($TheWeatherCompanyGetforecast.aggs[0].Gust.LOCAL_MORNING.max) ? $TheWeatherCompanyGetforecast.aggs[0].WindSpeed.LOCAL_MORNING.max : $TheWeatherCompanyGetforecast.aggs[0].Gust.LOCAL_MORNING.maxThis example tests if the maximum gust for the morning (
Gust.LOCAL_MORNING.max) is null. If it is null, the variable takes the value of the maximum windspeed for the morning. If it is not null, the variable takes the value of the maximum gust for the morning. - (General consideration) You can see lists of the trigger events and
actions that are available on the Applications and APIs page of the App Connect Designer.
For some applications, the events and actions depend on the environment and whether the connector supports configurable events and dynamic discovery of actions. If the application supports configurable events, you see a Show more configurable events link under the events list. If the application supports dynamic discovery of actions, you see a Show more link under the actions list.
- (General consideration) If you are using multiple accounts for an application, the set of fields that is displayed when you select an action for that application can vary for different accounts. In the flow editor, some applications always provide a curated set of static fields for an action. Other applications use dynamic discovery to retrieve the set of fields that are configured on the instance that you are connected to. For example, if you have two accounts for two instances of an application, the first account might use settings that are ready for immediate use. However, the second account might be configured with extra custom fields.
Events and actions
The Weather Company events
These events are for changes in this application that trigger a flow to start completing the actions in the flow.
The Weather Company actions
Your flow completes these actions on this application.
| Object | Action | Description |
|---|---|---|
| Current conditions | Get current condition | Get current condition |
| Forecasts | Get forecast | Get forecast |
| Historical observations | Retrieve historical observations | Retrieve historical observations |
| Locations | Get locations | Get locations |
| Locations by point | Get location by point | Get location by point |
| Near locations | Get near locations | Get near locations |
Examples
Use templates to quickly create flows for The Weather Company
Learn how to use App Connect templates to create flows that complete actions in The Weather Company. For example, go to the Discover page and search for The Weather Company.
Model Context Protocol (MCP) support
The The Weather Company connector supports MCP, and all The Weather Company actions for the listed objects can be added to an MCP server as tools. For more information on how to configure an MCP server, see Creating and managing MCP servers.