update python blueprint (#459)

docs/notebooks/demo/navigator/navigator-data-designer-sdk-text-to-python.ipynb

@@ -21,7 +21,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {
     "id": "mNoaC7dX28y0"
    },
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {
     "id": "1k5NjjtzPQJi"
    },
@@ -81,7 +81,7 @@
     "\n",
     "special_system_instructions: >-\n",
     "  You are an expert at writing, analyzing, and editing Python code. You know what\n",
-    "  a high-quality, clean, efficient, and maintainable Python code looks like. You\n",
+    "  high-quality, clean, efficient, and maintainable Python code looks like. You\n",
     "  excel at transforming natural language into Python, as well as Python back into\n",
     "  natural language. Your job is to assist the user with their Python-related tasks.\n",
     "\n",
@@ -105,47 +105,41 @@
     "            - DevOps and Continuous Integration/Continuous Deployment (CI/CD) Tools\n",
     "\n",
     "  - name: code_complexity\n",
-    "    values: [Intermediate, Advanced, Expert]\n",
+    "    values: [Beginner, Intermediate, Advanced]\n",
     "    subcategories:\n",
     "      - name: code_concept\n",
     "        values:\n",
-    "          Intermediate: [Functions, List Comprehensions, Classes]\n",
-    "          Advanced: [Object-oriented programming, Error Handling, Lambda Functions]\n",
-    "          Expert: [Decorators, Multithreading, Context Managers]\n",
-    "\n",
-    "  - name: prompt_type\n",
-    "    values: [instruction, question]\n",
-    "    subcategories:\n",
-    "      - name: prompt_creation_instruction\n",
-    "        values:\n",
-    "          instruction:\n",
-    "            - Write an instruction for a user to write Python code for a specific task.\n",
-    "            - Generate a clear and concise instruction for a Python programming challenge.\n",
-    "          question:\n",
-    "            - Ask a specific question about how to solve a problem using Python code.\n",
-    "            - Generate a question about how to perform a general task in Python.\n",
+    "          Beginner: [Variables, Data Types, Functions, Loops, Classes]\n",
+    "          Intermediate: [List Comprehensions, Object-oriented programming, Lambda Functions, Web frameworks, Pandas]\n",
+    "          Advanced: [Multithreading, Context Managers, Generators]\n",
+    "  \n",
+    "  - name: instruction_phrase\n",
+    "    values: [\"Write a function that\", \"Create a class that\", \"Implement a script\", \"Can you create a function\", \"Develop a module that\"]\n",
     "\n",
     "generated_data_columns:\n",
-    "    - name: text\n",
+    "    - name: instruction\n",
     "      generation_prompt: >-\n",
-    "        {prompt_creation_instruction} \\n\n",
-    "\n",
-    "        ### Important Guidelines ###\n",
-    "            * Make sure the {prompt_type} is related to {topic} in the {industry_sector} sector.\n",
-    "            * Do not write any code as part of the {prompt_type}.\n",
+    "        Generate an instruction to create Python code that solves a specific problem. Each instruction should begin with one of the following phrases: {instruction_phrase}.\n",
+    "        \n",
+    "        Important Guidelines:\n",
+    "            * Industry Relevance: Ensure the instruction pertains to the {industry_sector} sector and {topic} topic.\n",
+    "            * Code Complexity: Tailor the instruction to the {code_complexity} level. Utilize relevant {code_concept} where appropriate to match the complexity level.\n",
+    "            * Clarity and Specificity: Make the problem statement clear and unambiguous. Provide sufficient context to understand the requirements without being overly verbose.\n",
+    "            * Response Formatting: Do not include any markers such as ### Response ### in the instruction.\n",
     "      columns_to_list_in_prompt: all_categorical_seed_columns\n",
     "\n",
     "    - name: code\n",
     "      generation_prompt: >-\n",
-    "        Write Python code that will be paired with the following prompt:\n",
-    "        {text} \\n\n",
+    "        Write Python code for the following instruction:\n",
+    "        Instruction: {instruction}\\n\n",
     "\n",
-    "        ### Important Guidelines ###\n",
-    "            * Your code should be self-contained and executable.\n",
-    "            * Remember to import any necessary libraries.\n",
-    "            * The code should be written at a {code_complexity} level and make use of {code_concept}.\n",
+    "        Important Guidelines:\n",
+    "            * Code Quality: Your code should be clean, complete, self-contained and accurate.\n",
+    "            * Code Validity: Please ensure that your python code is executable and does not contain any errors.\n",
+    "            * Packages: Remember to import any necessary libraries, and to use all libraries you import.\n",
+    "            * Complexity & Concepts: The code should be written at a {code_complexity} level, making use use of concepts such as {code_concept}.\n",
     "      llm_type: code\n",
-    "      columns_to_list_in_prompt: [industry_sector, topic]\n",
+    "      columns_to_list_in_prompt: [topic]\n",
     "\n",
     "post_processors:\n",
     "    - validator: code\n",
@@ -155,7 +149,7 @@
     "\n",
     "    - evaluator: text_to_python\n",
     "      settings:\n",
-    "        text_column: text\n",
+    "        text_column: instruction\n",
     "        code_column: code\n",
     "\"\"\"\n",
     "\n",
@@ -288,6 +282,7 @@
   },
   "kernelspec": {
    "display_name": "Python 3",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {
@@ -300,7 +295,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,