Add juan contribution

week3/community-contributions/juan_synthetic_data/src/constants.py

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+# -------------------Setup Constants -------------------
+N_REFERENCE_ROWS = 64  # Max reference rows per batch for sampling
+MAX_TOKENS_MODEL = 128_000 # Max tokens supported by the model, used for batching computations
+PROJECT_TEMP_DIR = "temp_plots"
+
+
+
+#----------------- Prompts-------------------------------
+SYSTEM_PROMPT = """
+You are a precise synthetic data generator. Your only task is to output valid JSON arrays of dictionaries.
+
+Rules:
+1. Output a single JSON array starting with '[' and ending with ']'.
+2. Do not include markdown, code fences, or explanatory text — only the JSON.
+3. Keep all columns exactly as specified; do not add or remove fields (index must be omitted).
+4. Respect data types: text, number, date, boolean, etc.
+5. Ensure internal consistency and realistic variation.
+6. If a reference table is provided, generate data with similar statistical distributions for numerical and categorical variables, 
+   but never copy exact rows. Each row must be independent and new.
+7. For personal information (names, ages, addresses, IDs), ensure diversity and realism — individual values may be reused to maintain realism, 
+   but never reuse or slightly modify entire reference rows.
+8. Escape internal double quotes in strings with a backslash (") for JSON validity.
+9. Do NOT replace single quotes in normal text; they should remain as-is.
+10. Escape newline (
+), tab (	), or carriage return (
+) characters as 
+, 	, 
+ inside strings.
+11. Remove any trailing commas before closing brackets.
+12. Do not include any reference data or notes about it in the output.
+13. The output must always be valid JSON parseable by standard JSON parsers.
+14. Don't repeat any exact column neither from the reference or from previous generated data.
+15. When using reference data, consider the entire dataset for statistical patterns and diversity; 
+do not restrict generation to the first rows or the order of the dataset.
+16. Introduce slight random variations in numerical values, and choose categorical values randomly according to the distribution, 
+without repeating rows. 
+
+"""
+
+USER_PROMPT = """
+Generate exactly 15 rows of synthetic data following all the rules above. 
+Ensure that all strings are safe for JSON parsing and ready to convert to a pandas DataFrame.
+"""
+
+