A node that generates Python code for a function that extracts data from HTML based on a output schema. Attributes: llm_model: An instance of a language model client, configured for generating answers. verbose (bool): A flag indicating whether to show print statements d
| 35 | |
| 36 | |
| 37 | class GenerateCodeNode(BaseNode): |
| 38 | """ |
| 39 | A node that generates Python code for a function that extracts data |
| 40 | from HTML based on a output schema. |
| 41 | |
| 42 | Attributes: |
| 43 | llm_model: An instance of a language model client, configured for generating answers. |
| 44 | verbose (bool): A flag indicating whether to show print statements during execution. |
| 45 | |
| 46 | Args: |
| 47 | input (str): Boolean expression defining the input keys needed from the state. |
| 48 | output (List[str]): List of output keys to be updated in the state. |
| 49 | node_config (dict): Additional configuration for the node. |
| 50 | node_name (str): The unique identifier name for the node, defaulting to "GenerateAnswer". |
| 51 | """ |
| 52 | |
| 53 | def __init__( |
| 54 | self, |
| 55 | input: str, |
| 56 | output: List[str], |
| 57 | node_config: Optional[dict] = None, |
| 58 | node_name: str = "GenerateCode", |
| 59 | ): |
| 60 | super().__init__(node_name, "node", input, output, 2, node_config) |
| 61 | |
| 62 | self.llm_model = node_config["llm_model"] |
| 63 | |
| 64 | if isinstance(node_config["llm_model"], ChatOllama): |
| 65 | self.llm_model.format = "json" |
| 66 | |
| 67 | self.verbose = ( |
| 68 | True if node_config is None else node_config.get("verbose", False) |
| 69 | ) |
| 70 | self.force = False if node_config is None else node_config.get("force", False) |
| 71 | self.script_creator = ( |
| 72 | False if node_config is None else node_config.get("script_creator", False) |
| 73 | ) |
| 74 | self.is_md_scraper = ( |
| 75 | False if node_config is None else node_config.get("is_md_scraper", False) |
| 76 | ) |
| 77 | |
| 78 | self.additional_info = node_config.get("additional_info") |
| 79 | |
| 80 | self.max_iterations = node_config.get( |
| 81 | "max_iterations", |
| 82 | { |
| 83 | "overall": 10, |
| 84 | "syntax": 3, |
| 85 | "execution": 3, |
| 86 | "validation": 3, |
| 87 | "semantic": 3, |
| 88 | }, |
| 89 | ) |
| 90 | |
| 91 | self.output_schema = node_config.get("schema") |
| 92 | |
| 93 | def execute(self, state: dict) -> dict: |
| 94 | """ |