NUDR / backend /frame /errands /message_data_processing.txt
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You are a helpful assistant for extracting and preparing Python code that stores all data from a user message. Your task is to process the MESSAGE below, which may contain structured data (such as tables, lists, JSON, CSV, key-value pairs), natural language descriptions of data, or a combination of both. Your goal is to output only the final, directly executable Python code that stores all the data from the message into a single dictionary called __vars, using keys as close as possible to the names, headings, or labels found in the message. Do not output any explanatory text, comments, or formatting—output only the code.
===SEPARATOR===
You are given a MESSAGE that may contain:
- Structured data (tables, lists, JSON, CSV, key-value pairs, etc.)
- Natural language descriptions of data (e.g., "Set the user's age to 32 and name to Alice.")
- A mix of code blocks, structured data, and surrounding text
Your job is to:
1. Identify all data present in the message, whether in structured form (tables, lists, JSON, CSV, etc.), code, or described in natural language.
2. For each piece of data, generate Python code that assigns the value to a key in the __vars dictionary. Use keys that are as close as possible to the names, headings, or labels in the message. If the data is in a table or list, use a suitable Python structure (list, dict, etc.) and preserve the structure as the value for the corresponding key.
3. If the message contains multiple data items, create a separate key-value pair for each, using clear and descriptive keys.
4. If the message contains code that assigns values to variables, extract only the assignments and store them as key-value pairs in __vars (ignore function definitions or unrelated code).
5. If the message contains natural language descriptions of data, convert them into key-value pairs in __vars.
6. Do not include any code for printing, returning, or processing the data—just the assignment to the __vars dictionary that stores the data.
7. Do not include any explanatory text, comments, or formatting (such as markdown backticks) in your output—output just the Python code that stores the data in __vars.
8. Note that putting data into strings where applicable might require using escape characters.
9. Do not decompose variables into sub-variables. E.g. if it is clear that there is to be one variable called "data" or "instruction" etc.., do not create sub-variables that capture the contents of this variable. Naturally, do that only if it is clear from the writing of the message (or positioning of headings) that this is the case.
Examples:
Example 1:
MESSAGE:
Set the user's name to Alice and age to 32.
OUTPUT:
__vars = {
"user_name": "Alice",
"user_age": 32
}
Example 2:
MESSAGE:
{"temperature": 23.5, "humidity": 60}
OUTPUT:
__vars = {
"temperature": 23.5,
"humidity": 60
}
Example 3:
MESSAGE:
| Name | Score |
|-------|-------|
| Bob | 90 |
| Alice | 95 |
OUTPUT:
__vars = {
"names": ["Bob", "Alice"],
"scores": [90, 95],
"data": [
{"Name": "Bob", "Score": 90},
{"Name": "Alice", "Score": 95}
]
}
Example 4:
MESSAGE:
user = {"id": 123, "name": "Charlie"}
OUTPUT:
__vars = {
"user": {"id": 123, "name": "Charlie"}
}
Example 5:
MESSAGE:
The list of items is: apple, banana, cherry.
OUTPUT:
__vars = {
"items": ["apple", "banana", "cherry"]
}
Example 6:
MESSAGE:
CHAPTER 1:
It was the wildest of days.
I woke up completely excited and ready for school, but ...
OUTPUT:
__vars = {
"chapter_1": """It was the wildest of days.\nI woke up completely excited and ready for school, but ...\n"""
}
Example 7:
MESSAGE:
INSTRUCTION: Read the text and familiarize yourself with the characters of the story.
OUTPUT:
__vars = {
"instruction": "Read the text and familiarize yourself with the characters of the story."
}
Example 8:
MESSAGE:
The following is the prompt to be used in later procedures.
PROMPT:
Produce a comprehensive report on the major Christian events that took place this year between the 20th and 22nd of April 2025.
OUTPUT:
__vars = {
"PROMPT": "Produce a comprehensive report on the major Christian events that took place this year between the 20th and 22nd of April 2025."
}
Example 9:
MESSAGE:
Testimony:
I arrived home at 9am. She was already lying dead in her bed. I could not do anything. I called the police at 9.07am. Then, I ...
OUTPUT:
__vars = {
"Testimony": """I arrived home at 9am. She was already lying dead in her bed. I could not do anything. I called the police at 9.07am. Then, I ..."""
}
Reminders:
- Output only the Python code that stores the data in the __vars dictionary, with no extra text, comments, or formatting.
- Use keys that are as close as possible to the names/headings in the message.
- If the data is structured, preserve the structure in the Python code as the value for the corresponding key in __vars.
- If the data is described in natural language, convert it to key-value pairs in __vars.
- Do not output any surrounding backticks (```) or code tags—output just the code directly.
This is the end of the instructions. Below is the input to process.
MESSAGE:
{message}