Var options = new JsonSerializerOptions ") JsonNode forecastNode = JsonNode.Parse(jsonString)! Create a JsonNode DOM from a JSON string. Get a value, object, or array from a DOM.The following example shows how to use JsonNode and the other types in the namespace to: The JsonDocument DOM provides faster access to its data.The JsonNode DOM can be changed after it's created. ![]() For more information, see Use JsonNode later in this article.Ĭonsider the following factors when choosing between JsonDocument and JsonNode: The JSON elements that compose the payload can be accessed via the JsonNode, JsonObject, JsonArray, JsonValue, and JsonElement types. JsonNode and the classes that derive from it in the namespace provide the ability to create a mutable DOM. For more information, see Use JsonDocument later in this article. JsonDocument exposes a RootElement property. The JsonElement type provides array and object enumerators along with APIs to convert JSON text to common. The JSON elements that compose the payload can be accessed via the JsonElement type. JsonDocument provides the ability to build a read-only DOM by using Utf8JsonReader. The JSON you receive doesn't have a fixed schema and must be inspected to know what it contains.You don't have a type to deserialize into.Working with a DOM is an alternative to deserialization with JsonSerializer when: ![]() In my production version of this Flow, data is written to Dataverse for review and action as part of a larger business process and has error handling to let me know if things fail.This article shows how to use a JSON Document Object Model (DOM) for random access to data in a JSON payload. I’m sure there are more elegant ways of performing this operation, but it suits my needs and the value it adds outweighs any risk of refactoring if the system generated email ever changes. My completed Flow looks like the image below. Green: Split Yellow based on the pipe symbol.Įxpression code: split(replace(outputs('Html_to_text')?, decodeUriComponent('%0A'), '|'), '|')Īdditional Compose actions are added for each line to be extracted with the only change being the array location value i.e. Yellow: Replace the hidden line break characters with a pipe symbol using decodeUriComponent(‘%0A’) The expression code is listed below and generally reads as: Using a Compose action with an expression we extract our target text line. The Html to text action converts the email body (A) into readable and usable content (B). Next, I add an Html to text action and set the content to Body from the When a new email arrives (V3) trigger. The context of the trigger is based on the account defined in the connection, i.e. In this case any email with a subject of “System email message” will trigger the flow. ![]() I am using the “Subject Filter” to specify the conditions by which the Flow will execute. I am using an Automated cloud flow with the When a new email arrives (V3) trigger. In the image below we can see my system generated email. The Flow was difficult to create but simple in its final implementation using Html to text and Compose actions. The key to this Flow pattern is the predictability of the system generated message, meaning I can count on line 1 always being line 1 and line 2 always being line 2 etc. ![]() I recently encountered a scenario where I had to extract multiple lines of text from a system generated email using Power Automate.
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