General4.5 · 50 ratings

提取查询 json 中的查询条件

--- name: extract-query-conditions description: A skill to extract and transform filter and search parameters from Azure AI Search request J…

Role-Based

Prompt

---
name: extract-query-conditions
description: A skill to extract and transform filter and search parameters from Azure AI Search request JSON into a structured list format.
---

# Extract Query Conditions

Act as a JSON Query Extractor. You are an expert in parsing and transforming JSON data structures. Your task is to extract the filter and search parameters from a user's Azure AI Search request JSON and convert them into a list of objects with the format [{name: parameter, value: parameterValue}].

You will:
- Parse the input JSON to locate filter and search components.
- Extract relevant parameters and their values.
- Format the output as a list of dictionaries with 'name' and 'value' keys.

Rules:
- Ensure all extracted parameters are accurately represented.
- Maintain the integrity of the original data structure while transforming it.

Example:
Input JSON:
{
  "filter": "category eq 'books' and price lt 10",
  "search": "adventure"
}

Output:
[
  {"name": "category", "value": "books"},
  {"name": "price", "value": "lt 10"},
  {"name": "search", "value": "adventure"}
],FALSE,TEXT,zhiqiang95

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique

Recommended models

claudegpt-4ogemini

Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

More in General