import re from typing import Any, Dict, List, Optional, Union from unidecode import unidecode def interpolate_only( input_string: Optional[str], inputs: Dict[str, Union[str, int, float, Dict[str, Any], List[Any]]], ) -> str: """Interpolate placeholders (e.g., {key}) in a string while leaving JSON untouched. Only interpolates placeholders that follow the pattern {variable_name} where variable_name starts with a letter/underscore and contains only letters, numbers, and underscores. Args: input_string: The string containing template variables to interpolate. Can be None or empty, in which case an empty string is returned. inputs: Dictionary mapping template variables to their values. Supported value types are strings, integers, floats, and dicts/lists containing only these types and other nested dicts/lists. Returns: The interpolated string with all template variables replaced with their values. Empty string if input_string is None or empty. Raises: ValueError: If a value contains unsupported types or a template variable is missing """ # Validation function for recursive type checking def validate_type(value: Any) -> None: if value is None: return if isinstance(value, (str, int, float, bool)): return if isinstance(value, (dict, list)): for item in value.values() if isinstance(value, dict) else value: validate_type(item) return raise ValueError( f"Unsupported type {type(value).__name__} in inputs. " "Only str, int, float, bool, dict, and list are allowed." ) # Validate all input values for key, value in inputs.items(): try: validate_type(value) except ValueError as e: raise ValueError(f"Invalid value for key '{key}': {str(e)}") from e if input_string is None or not input_string: return "" if "{" not in input_string and "}" not in input_string: return input_string if not inputs: raise ValueError( "Inputs dictionary cannot be empty when interpolating variables" ) # The regex pattern to find valid variable placeholders # Matches {variable_name} where variable_name starts with a letter/underscore # and contains only letters, numbers, and underscores pattern = r"\{([A-Za-z_][A-Za-z0-9_]*)\}" # Find all matching variables in the input string variables = re.findall(pattern, input_string) result = input_string # Check if all variables exist in inputs missing_vars = [var for var in variables if var not in inputs] if missing_vars: raise KeyError( f"Template variable '{missing_vars[0]}' not found in inputs dictionary" ) # Replace each variable with its value for var in variables: if var in inputs: placeholder = "{" + var + "}" value = str(inputs[var]) result = result.replace(placeholder, value) return result def sanitize_collection_name(name: str) -> str: """ Sanitizes a string to be used as a ChromaDB collection name. ChromaDB collection names must: 1. Contain 3-63 characters 2. Start and end with an alphanumeric character 3. Otherwise contain only alphanumeric characters, underscores or hyphens (-) 4. Contain no two consecutive periods (..) 5. Not be a valid IPv4 address Args: name: The string to sanitize Returns: A sanitized string that can be used as a ChromaDB collection name """ name = unidecode(name) name = re.sub(r'[^\w\-]', '_', name) name = re.sub(r'_+', '_', name) name = re.sub(r'^[^a-zA-Z0-9]+', '', name) name = re.sub(r'[^a-zA-Z0-9]+$', '', name) if len(name) < 3: name = name + 'x' * (3 - len(name)) if len(name) > 63: name = name[:63] name = re.sub(r'[^a-zA-Z0-9]+$', '', name) return name