diff --git a/modelcontextprotocol/tools/assets.py b/modelcontextprotocol/tools/assets.py index b90f2c9..4dc6d51 100644 --- a/modelcontextprotocol/tools/assets.py +++ b/modelcontextprotocol/tools/assets.py @@ -185,13 +185,16 @@ def update_assets( f"Successfully updated {result['readme_updated']} readme assets: {result['updated_readme_assets']}" ) - # Proces response + # Process response if len(assets) > 0: response = client.asset.save(assets) result["updated_count"] = len(response.guid_assignments) logger.info(f"Successfully updated {result['updated_count']} assets") - return result + # Apply TOON formatting for token optimization + from utils.formatting import format_update_results + + return format_update_results(result) except Exception as e: error_msg = f"Error updating assets: {str(e)}" diff --git a/modelcontextprotocol/tools/dsl.py b/modelcontextprotocol/tools/dsl.py index 9d3d418..fb23abb 100644 --- a/modelcontextprotocol/tools/dsl.py +++ b/modelcontextprotocol/tools/dsl.py @@ -48,7 +48,9 @@ def get_assets_by_dsl(dsl_query: Union[str, Dict[str, Any]]) -> Dict[str, Any]: logger.info("Executing DSL search request") client = get_atlan_client() search_response = client.asset.search(index_request) - processed_results = SearchUtils.process_results(search_response) + + # Process results with TOON formatting enabled by default + processed_results = SearchUtils.process_results(search_response, use_toon=True) return processed_results except Exception as e: logger.error(f"Error in DSL search: {str(e)}") diff --git a/modelcontextprotocol/tools/lineage.py b/modelcontextprotocol/tools/lineage.py index e8646c0..97a06af 100644 --- a/modelcontextprotocol/tools/lineage.py +++ b/modelcontextprotocol/tools/lineage.py @@ -107,7 +107,13 @@ def traverse_lineage( logger.info( f"Lineage traversal completed, returned {len(results_list)} results" ) - return {"assets": results_list, "error": None} + + lineage_results = {"assets": results_list, "error": None} + + # Apply TOON formatting for token optimization + from utils.formatting import format_lineage_results + + return format_lineage_results(lineage_results) except Exception as e: logger.error(f"Error traversing lineage: {str(e)}") diff --git a/modelcontextprotocol/tools/search.py b/modelcontextprotocol/tools/search.py index f25fc19..2f14e7d 100644 --- a/modelcontextprotocol/tools/search.py +++ b/modelcontextprotocol/tools/search.py @@ -294,10 +294,20 @@ def search_assets( logger.info("Executing search request") client = get_atlan_client() search_response = client.asset.search(request) - processed_results = SearchUtils.process_results(search_response) - logger.info( - f"Search completed, returned {len(processed_results['results'])} results" - ) + + # Process results with TOON formatting enabled by default + processed_results = SearchUtils.process_results(search_response, use_toon=True) + + # Log result count (handle both TOON string and dict formats) + if isinstance(processed_results, str): + logger.info( + "Search completed, results formatted as TOON for token optimization" + ) + else: + logger.info( + f"Search completed, returned {len(processed_results.get('results', []))} results" + ) + return processed_results except Exception as e: diff --git a/modelcontextprotocol/toon_config_example.env b/modelcontextprotocol/toon_config_example.env new file mode 100644 index 0000000..6fc36ec --- /dev/null +++ b/modelcontextprotocol/toon_config_example.env @@ -0,0 +1,25 @@ +# TOON Optimization Configuration Example +# Copy this to .env and adjust values as needed + +# Enable/disable TOON formatting globally +TOON_ENABLED=true + +# Minimum token savings percentage to use TOON (default: 5.0) +TOON_MIN_SAVINGS=5.0 + +# Enable TOON for specific data types +TOON_SEARCH_RESULTS=true +TOON_LINEAGE_RESULTS=true +TOON_DSL_QUERIES=false # Complex nested structures often don't compress well +TOON_UPDATE_RESULTS=true +TOON_ASSET_LISTS=true + +# TOON Encoding Options +# Delimiter: comma, tab, or pipe +TOON_DELIMITER=comma + +# Indentation spaces (default: 2) +TOON_INDENT=2 + +# Length marker prefix (empty to disable, "#" to enable) +TOON_LENGTH_MARKER= diff --git a/modelcontextprotocol/utils/formatting.py b/modelcontextprotocol/utils/formatting.py new file mode 100644 index 0000000..188e8db --- /dev/null +++ b/modelcontextprotocol/utils/formatting.py @@ -0,0 +1,348 @@ +""" +Formatting utilities for optimizing data serialization in MCP tools. + +This module provides utilities to format tool responses using TOON (Token-Oriented Object Notation) +for improved token efficiency when communicating with LLMs. +""" + +import json +import logging +from typing import Any, Dict, List, Optional, Union +from .toon import ( + encode as toon_encode, + decode as toon_decode, + EncodeOptions, + DelimiterType, + calculate_token_savings, +) +from .toon_config import get_toon_config_manager, is_toon_beneficial_for_data + +logger = logging.getLogger(__name__) + + +class ResponseFormatter: + """Formatter for MCP tool responses with TOON optimization.""" + + def __init__( + self, use_toon: bool = True, toon_options: Optional[EncodeOptions] = None + ): + """ + Initialize response formatter. + + Args: + use_toon: Whether to use TOON formatting instead of JSON + toon_options: Options for TOON encoding + """ + self.use_toon = use_toon + self.toon_options = toon_options or EncodeOptions( + indent=2, + delimiter=DelimiterType.COMMA, + length_marker=None, # Can be enabled with "#" for validation + ) + + def format_search_results( + self, results: Dict[str, Any] + ) -> Union[str, Dict[str, Any]]: + """ + Format search results for optimal token usage. + + Args: + results: Search results dictionary with 'results', 'aggregations', 'error' keys + + Returns: + Formatted results (TOON string if enabled, otherwise original dict) + """ + config_manager = get_toon_config_manager() + + if not self.use_toon or not config_manager.should_use_toon_for_search_results(): + return results + + # Check if TOON would be beneficial for this data structure + if not is_toon_beneficial_for_data(results): + logger.debug("TOON not beneficial for search results structure, using JSON") + return results + + try: + # Use configured TOON options + toon_options = config_manager.get_toon_options() + + # Log token savings for monitoring + original_json = json.dumps(results, separators=(",", ":")) + toon_str = toon_encode(results, toon_options) + + savings = calculate_token_savings(original_json, toon_str) + + # Check if savings meet threshold + if ( + savings["savings_percent"] + < config_manager.get_config().min_savings_threshold + ): + logger.info( + f"Search results TOON savings ({savings['savings_percent']:.1f}%) below threshold, using JSON" + ) + return results + + logger.info( + f"Search results TOON optimization: {savings['savings_percent']:.1f}% token reduction" + ) + return toon_str + + except Exception as e: + logger.warning(f"Failed to encode search results as TOON: {e}") + return results + + def format_asset_list( + self, assets: List[Dict[str, Any]] + ) -> Union[str, List[Dict[str, Any]]]: + """ + Format asset list for optimal token usage. + + Args: + assets: List of asset dictionaries + + Returns: + Formatted assets (TOON string if enabled, otherwise original list) + """ + if not self.use_toon or not assets: + return assets + + try: + # Check if assets are uniform (good for tabular format) + if self._is_uniform_asset_list(assets): + # Use tabular format for maximum compression + original_json = json.dumps(assets, separators=(",", ":")) + toon_str = toon_encode(assets, self.toon_options) + + savings = calculate_token_savings(original_json, toon_str) + logger.info( + f"Asset list TOON optimization: {savings['savings_percent']:.1f}% token reduction" + ) + + return toon_str + else: + # Mixed format - still beneficial but less compression + original_json = json.dumps(assets, separators=(",", ":")) + toon_str = toon_encode(assets, self.toon_options) + + savings = calculate_token_savings(original_json, toon_str) + logger.info( + f"Mixed asset list TOON optimization: {savings['savings_percent']:.1f}% token reduction" + ) + + return toon_str + + except Exception as e: + logger.warning(f"Failed to encode asset list as TOON: {e}") + return assets + + def format_lineage_results( + self, lineage_data: Dict[str, Any] + ) -> Union[str, Dict[str, Any]]: + """ + Format lineage traversal results for optimal token usage. + + Args: + lineage_data: Lineage results dictionary + + Returns: + Formatted lineage data (TOON string if enabled, otherwise original dict) + """ + if not self.use_toon: + return lineage_data + + try: + original_json = json.dumps(lineage_data, separators=(",", ":")) + toon_str = toon_encode(lineage_data, self.toon_options) + + savings = calculate_token_savings(original_json, toon_str) + logger.info( + f"Lineage results TOON optimization: {savings['savings_percent']:.1f}% token reduction" + ) + + return toon_str + except Exception as e: + logger.warning(f"Failed to encode lineage results as TOON: {e}") + return lineage_data + + def format_dsl_results( + self, dsl_results: Dict[str, Any] + ) -> Union[str, Dict[str, Any]]: + """ + Format DSL query results for optimal token usage. + + Args: + dsl_results: DSL query results dictionary + + Returns: + Formatted DSL results (TOON string if enabled, otherwise original dict) + """ + if not self.use_toon: + return dsl_results + + try: + original_json = json.dumps(dsl_results, separators=(",", ":")) + toon_str = toon_encode(dsl_results, self.toon_options) + + savings = calculate_token_savings(original_json, toon_str) + logger.info( + f"DSL results TOON optimization: {savings['savings_percent']:.1f}% token reduction" + ) + + return toon_str + except Exception as e: + logger.warning(f"Failed to encode DSL results as TOON: {e}") + return dsl_results + + def format_update_results( + self, update_results: Dict[str, Any] + ) -> Union[str, Dict[str, Any]]: + """ + Format asset update results for optimal token usage. + + Args: + update_results: Update operation results dictionary + + Returns: + Formatted update results (TOON string if enabled, otherwise original dict) + """ + if not self.use_toon: + return update_results + + try: + original_json = json.dumps(update_results, separators=(",", ":")) + toon_str = toon_encode(update_results, self.toon_options) + + savings = calculate_token_savings(original_json, toon_str) + logger.info( + f"Update results TOON optimization: {savings['savings_percent']:.1f}% token reduction" + ) + + return toon_str + except Exception as e: + logger.warning(f"Failed to encode update results as TOON: {e}") + return update_results + + def _is_uniform_asset_list(self, assets: List[Dict[str, Any]]) -> bool: + """ + Check if asset list is uniform (same keys, primitive values). + + Args: + assets: List of asset dictionaries + + Returns: + True if assets are uniform and suitable for tabular format + """ + if not assets or len(assets) < 2: + return False + + # Check if all assets have the same keys + first_keys = set(assets[0].keys()) + for asset in assets[1:]: + if set(asset.keys()) != first_keys: + return False + + # Check if all values are primitives (not nested objects/arrays) + for asset in assets: + for value in asset.values(): + if isinstance(value, (dict, list)): + return False + + return True + + +class TOONParameterParser: + """Parser for handling TOON-formatted parameters in MCP tools.""" + + @staticmethod + def parse_parameter(param: Any) -> Any: + """ + Parse a parameter that might be TOON-formatted. + + Args: + param: Parameter value (could be TOON string, JSON string, or object) + + Returns: + Parsed parameter value + """ + if param is None: + return None + + if isinstance(param, str): + # Try TOON first, then JSON + try: + return toon_decode(param) + except Exception: + try: + return json.loads(param) + except json.JSONDecodeError as e: + logger.error( + f"Invalid parameter format (neither TOON nor JSON): {param}" + ) + raise e + + return param + + +# Global formatter instance - can be configured via environment variables +_default_formatter: Optional[ResponseFormatter] = None + + +def get_default_formatter() -> ResponseFormatter: + """ + Get the default response formatter instance. + + Returns: + Default ResponseFormatter instance + """ + global _default_formatter + if _default_formatter is None: + # Configure from TOON configuration manager + config_manager = get_toon_config_manager() + config = config_manager.get_config() + + _default_formatter = ResponseFormatter( + use_toon=config.enabled, toon_options=config.toon_options + ) + return _default_formatter + + +def set_default_formatter(formatter: ResponseFormatter) -> None: + """ + Set the default response formatter instance. + + Args: + formatter: ResponseFormatter instance to use as default + """ + global _default_formatter + _default_formatter = formatter + + +# Convenience functions using default formatter +def format_search_results(results: Dict[str, Any]) -> Union[str, Dict[str, Any]]: + """Format search results using default formatter.""" + return get_default_formatter().format_search_results(results) + + +def format_asset_list(assets: List[Dict[str, Any]]) -> Union[str, List[Dict[str, Any]]]: + """Format asset list using default formatter.""" + return get_default_formatter().format_asset_list(assets) + + +def format_lineage_results(lineage_data: Dict[str, Any]) -> Union[str, Dict[str, Any]]: + """Format lineage results using default formatter.""" + return get_default_formatter().format_lineage_results(lineage_data) + + +def format_dsl_results(dsl_results: Dict[str, Any]) -> Union[str, Dict[str, Any]]: + """Format DSL results using default formatter.""" + return get_default_formatter().format_dsl_results(dsl_results) + + +def format_update_results(update_results: Dict[str, Any]) -> Union[str, Dict[str, Any]]: + """Format update results using default formatter.""" + return get_default_formatter().format_update_results(update_results) + + +def parse_parameter(param: Any) -> Any: + """Parse parameter using TOON parameter parser.""" + return TOONParameterParser.parse_parameter(param) diff --git a/modelcontextprotocol/utils/parameters.py b/modelcontextprotocol/utils/parameters.py index 4db5ceb..9fb86da 100644 --- a/modelcontextprotocol/utils/parameters.py +++ b/modelcontextprotocol/utils/parameters.py @@ -8,32 +8,43 @@ import json import logging from typing import Any, List, Optional, Union +from .formatting import parse_parameter logger = logging.getLogger(__name__) def parse_json_parameter(param: Any) -> Union[dict, list, None]: """ - Parse a parameter that might be a JSON string. + Parse a parameter that might be a JSON or TOON string. + + This function now supports both JSON and TOON formats for maximum compatibility. + It will first try to parse as TOON, then fall back to JSON if that fails. Args: - param: The parameter value to parse (could be string, dict, list, etc.) + param: The parameter value to parse (could be TOON string, JSON string, dict, list, etc.) Returns: The parsed parameter value Raises: - json.JSONDecodeError: If the JSON string is invalid + json.JSONDecodeError: If neither TOON nor JSON parsing succeeds """ if param is None: return None if isinstance(param, str): try: - return json.loads(param) - except json.JSONDecodeError as e: - logger.error(f"Invalid JSON parameter: {param}") - raise e + # Try TOON parsing first for better token efficiency + return parse_parameter(param) + except Exception as e: + logger.debug(f"TOON parsing failed, trying JSON: {e}") + try: + return json.loads(param) + except json.JSONDecodeError as json_e: + logger.error( + f"Invalid parameter format (neither TOON nor JSON): {param}" + ) + raise json_e return param diff --git a/modelcontextprotocol/utils/search.py b/modelcontextprotocol/utils/search.py index b69377d..ea9fd86 100644 --- a/modelcontextprotocol/utils/search.py +++ b/modelcontextprotocol/utils/search.py @@ -1,13 +1,16 @@ -from typing import Dict, Any +from typing import Dict, Any, Union import logging from pyatlan.model.assets import Asset +from .formatting import format_search_results logger = logging.getLogger(__name__) class SearchUtils: @staticmethod - def process_results(results: Any) -> Dict[str, Any]: + def process_results( + results: Any, use_toon: bool = True + ) -> Union[str, Dict[str, Any]]: """ Process the results from the search index using Pydantic serialization. @@ -15,11 +18,15 @@ def process_results(results: Any) -> Dict[str, Any]: - Convert field names to their API-friendly camelCase format (by_alias=True) - Exclude any fields that weren't explicitly set (exclude_unset=True) + Optionally formats results using TOON for token optimization. + Args: results: The search results from Atlan + use_toon: Whether to format results using TOON for token optimization Returns: - Dict[str, Any]: Dictionary containing: + Union[str, Dict[str, Any]]: TOON-formatted string if use_toon=True, + otherwise dictionary containing: - results: List of processed results - aggregations: Search aggregations if available - error: None if no error occurred, otherwise the error message @@ -38,7 +45,17 @@ def process_results(results: Any) -> Dict[str, Any]: if result is not None ] - return {"results": results_list, "aggregations": aggregations, "error": None} + processed_results = { + "results": results_list, + "aggregations": aggregations, + "error": None, + } + + # Apply TOON formatting if requested + if use_toon: + return format_search_results(processed_results) + + return processed_results @staticmethod def _get_asset_attribute(attr_name: str): diff --git a/modelcontextprotocol/utils/toon.py b/modelcontextprotocol/utils/toon.py new file mode 100644 index 0000000..47923b8 --- /dev/null +++ b/modelcontextprotocol/utils/toon.py @@ -0,0 +1,650 @@ +""" +TOON (Token-Oriented Object Notation) encoder/decoder for Python. + +A compact data format optimized for transmitting structured information to Large Language Models (LLMs) +with 30-60% fewer tokens than JSON. + +This implementation follows the TOON specification for maximum compatibility and token efficiency. +""" + +import re +from typing import Any, Dict, List, Optional +from dataclasses import dataclass +from enum import Enum + + +class DelimiterType(str, Enum): + """Supported delimiter types for TOON arrays.""" + + COMMA = "," + TAB = "\t" + PIPE = "|" + + +@dataclass +class EncodeOptions: + """Options for TOON encoding.""" + + indent: int = 2 + delimiter: DelimiterType = DelimiterType.COMMA + length_marker: Optional[str] = None # "#" to enable length markers + + +@dataclass +class DecodeOptions: + """Options for TOON decoding.""" + + indent: int = 2 + strict: bool = True + + +class TOONEncoder: + """TOON encoder for converting Python objects to TOON format.""" + + def __init__(self, options: Optional[EncodeOptions] = None): + """Initialize encoder with options.""" + self.options = options or EncodeOptions() + self._current_indent = 0 + + def encode(self, value: Any) -> str: + """ + Encode a Python value to TOON format. + + Args: + value: The value to encode (dict, list, or primitive) + + Returns: + TOON-formatted string + """ + self._current_indent = 0 + return self._encode_value(value).rstrip() + + def _encode_value(self, value: Any) -> str: + """Encode any value to TOON format.""" + if value is None: + return "null" + elif isinstance(value, bool): + return "true" if value else "false" + elif isinstance(value, (int, float)): + # Normalize numbers + if isinstance(value, float): + if value != value: # NaN + return "null" + elif value == float("inf") or value == float("-inf"): + return "null" + elif value == -0.0: + return "0" + return str(value) + elif isinstance(value, str): + return self._quote_string(value) + elif isinstance(value, dict): + return self._encode_object(value) + elif isinstance(value, list): + return self._encode_array(value) + else: + # Convert other types to string representation + return self._quote_string(str(value)) + + def _encode_object(self, obj: Dict[str, Any]) -> str: + """Encode a dictionary as a TOON object.""" + if not obj: + return "{}" + + lines = [] + for key, value in obj.items(): + encoded_value = self._encode_value(value) + + # Handle nested objects with proper indentation + if isinstance(value, dict) and value: + lines.append(f"{key}:") + self._current_indent += self.options.indent + nested_lines = encoded_value.split("\n") + for line in nested_lines: + if line.strip(): + lines.append(" " * self._current_indent + line) + self._current_indent -= self.options.indent + elif isinstance(value, list): + # Arrays get special handling + array_header, array_body = self._encode_array_with_header(key, value) + lines.append(array_header) + if array_body: + self._current_indent += self.options.indent + for line in array_body.split("\n"): + if line.strip(): + lines.append(" " * self._current_indent + line) + self._current_indent -= self.options.indent + else: + lines.append(f"{key}: {encoded_value}") + + return "\n".join(lines) + + def _encode_array(self, arr: List[Any]) -> str: + """Encode a list as a TOON array.""" + if not arr: + return "[]" + + length = len(arr) + length_marker = f"#{length}" if self.options.length_marker else str(length) + + # Check if this is a tabular array (uniform objects with primitive values) + if self._is_tabular_array(arr): + return self._encode_tabular_array(arr, length_marker) + + # Check if this is a primitive array + if all(not isinstance(item, (dict, list)) for item in arr): + return self._encode_primitive_array(arr, length_marker) + + # Mixed array - use list format + return self._encode_mixed_array(arr, length_marker) + + def _encode_array_with_header(self, key: str, arr: List[Any]) -> tuple[str, str]: + """Encode array with key as header.""" + if not arr: + return f"{key}: []", "" + + length = len(arr) + length_marker = f"#{length}" if self.options.length_marker else str(length) + + if self._is_tabular_array(arr): + fields = list(arr[0].keys()) + delimiter_in_bracket = ( + self.options.delimiter.value + if self.options.delimiter != DelimiterType.COMMA + else "," + ) + header = ( + f"{key}[{length_marker}{delimiter_in_bracket}]{{{','.join(fields)}}}:" + ) + + rows = [] + for item in arr: + row_values = [self._format_cell_value(item[field]) for field in fields] + rows.append(self.options.delimiter.value.join(row_values)) + + return header, "\n".join(rows) + + elif all(not isinstance(item, (dict, list)) for item in arr): + # Primitive array + delimiter_suffix = ( + "" + if self.options.delimiter == DelimiterType.COMMA + else self.options.delimiter.value + ) + header = f"{key}[{length_marker}{delimiter_suffix}]:" + values = [self._format_cell_value(item) for item in arr] + return header, self.options.delimiter.value.join(values) + + else: + # Mixed array + header = f"{key}[{length_marker}]:" + lines = [] + for item in arr: + if isinstance(item, dict): + if item: + lines.append( + "- " + self._encode_object(item).replace("\n", "\n ") + ) + else: + lines.append("- {}") + else: + lines.append("- " + self._encode_value(item)) + return header, "\n".join(lines) + + def _is_tabular_array(self, arr: List[Any]) -> bool: + """Check if array can be represented in tabular format.""" + if not arr or not isinstance(arr[0], dict): + return False + + # All items must be dicts with same keys and primitive values + first_keys = set(arr[0].keys()) + for item in arr: + if not isinstance(item, dict): + return False + if set(item.keys()) != first_keys: + return False + # All values must be primitives + for value in item.values(): + if isinstance(value, (dict, list)): + return False + + return True + + def _encode_tabular_array( + self, arr: List[Dict[str, Any]], length_marker: str + ) -> str: + """Encode array as tabular format.""" + fields = list(arr[0].keys()) + delimiter_in_bracket = ( + self.options.delimiter.value + if self.options.delimiter != DelimiterType.COMMA + else "," + ) + + lines = [f"[{length_marker}{delimiter_in_bracket}]{{{','.join(fields)}}}:"] + + for item in arr: + row_values = [self._format_cell_value(item[field]) for field in fields] + lines.append(" " + self.options.delimiter.value.join(row_values)) + + return "\n".join(lines) + + def _encode_primitive_array(self, arr: List[Any], length_marker: str) -> str: + """Encode array of primitives.""" + delimiter_suffix = ( + "" + if self.options.delimiter == DelimiterType.COMMA + else self.options.delimiter.value + ) + values = [self._format_cell_value(item) for item in arr] + return f"[{length_marker}{delimiter_suffix}]: {self.options.delimiter.value.join(values)}" + + def _encode_mixed_array(self, arr: List[Any], length_marker: str) -> str: + """Encode mixed array with list format.""" + lines = [f"[{length_marker}]:"] + + for item in arr: + if isinstance(item, dict): + if item: + encoded = self._encode_object(item) + # Indent the object content + indented_lines = [] + for line in encoded.split("\n"): + indented_lines.append(" " + line) + lines.append(" -") + lines.extend(indented_lines) + else: + lines.append(" - {}") + else: + lines.append(" - " + self._encode_value(item)) + + return "\n".join(lines) + + def _format_cell_value(self, value: Any) -> str: + """Format a value for use in array cells.""" + if value is None: + return "null" + elif isinstance(value, bool): + return "true" if value else "false" + elif isinstance(value, (int, float)): + if isinstance(value, float): + if value != value: # NaN + return "null" + elif value == float("inf") or value == float("-inf"): + return "null" + elif value == -0.0: + return "0" + return str(value) + elif isinstance(value, str): + return self._quote_string(value) + else: + return self._quote_string(str(value)) + + def _quote_string(self, s: str) -> str: + """Quote string if necessary according to TOON rules.""" + if not s: # Empty string + return '""' + + # Keywords that need quoting + if s.lower() in ("null", "true", "false"): + return f'"{s}"' + + # Numeric strings + try: + float(s) + return f'"{s}"' + except ValueError: + pass + + # Leading/trailing whitespace + if s != s.strip(): + return f'"{s}"' + + # Contains structural characters + structural_chars = ':[]{}-"' + if any(char in s for char in structural_chars): + return f'"{s}"' + + # Contains current delimiter + if self.options.delimiter.value in s: + return f'"{s}"' + + # Contains control characters + if any(ord(char) < 32 for char in s): + return f'"{s}"' + + return s + + +class TOONDecoder: + """TOON decoder for converting TOON format to Python objects.""" + + def __init__(self, options: Optional[DecodeOptions] = None): + """Initialize decoder with options.""" + self.options = options or DecodeOptions() + + def decode(self, toon_str: str) -> Any: + """ + Decode a TOON-formatted string to Python objects. + + Args: + toon_str: TOON-formatted string + + Returns: + Decoded Python object + """ + lines = toon_str.strip().split("\n") + if not lines or not lines[0].strip(): + return None + + return self._parse_lines(lines, 0)[0] + + def _parse_lines(self, lines: List[str], start_idx: int) -> tuple[Any, int]: + """Parse lines starting from start_idx, return (value, next_idx).""" + if start_idx >= len(lines): + return None, start_idx + + line = lines[start_idx].rstrip() + + # Skip empty lines + if not line.strip(): + return self._parse_lines(lines, start_idx + 1) + + # Determine indentation level + # indent_level = len(line) - len(line.lstrip()) + + # Check for array format + if "[" in line and "]:" in line: + return self._parse_array(lines, start_idx) + + # Check for object key-value + if ":" in line and not line.lstrip().startswith("-"): + return self._parse_object(lines, start_idx) + + # Check for list item + if line.lstrip().startswith("- "): + # This should be handled by parent array parser + return self._parse_primitive(line.lstrip()[2:]), start_idx + 1 + + # Single primitive value + return self._parse_primitive(line.strip()), start_idx + 1 + + def _parse_object( + self, lines: List[str], start_idx: int + ) -> tuple[Dict[str, Any], int]: + """Parse object from lines.""" + obj = {} + current_idx = start_idx + base_indent = len(lines[start_idx]) - len(lines[start_idx].lstrip()) + + while current_idx < len(lines): + line = lines[current_idx].rstrip() + + if not line.strip(): + current_idx += 1 + continue + + line_indent = len(line) - len(line.lstrip()) + + # If we've moved to a different indentation level, we're done + if line_indent < base_indent: + break + + if line_indent > base_indent: + # This should be handled by the parent key + current_idx += 1 + continue + + # Parse key-value pair + if ":" in line: + key, _, value_part = line.partition(":") + key = key.strip() + value_part = value_part.strip() + + if value_part: + # Simple value on same line + obj[key] = self._parse_primitive(value_part) + current_idx += 1 + else: + # Complex value on following lines + value, next_idx = self._parse_lines(lines, current_idx + 1) + obj[key] = value + current_idx = next_idx + else: + current_idx += 1 + + return obj, current_idx + + def _parse_array(self, lines: List[str], start_idx: int) -> tuple[Any, int]: + """Parse array from lines.""" + line = lines[start_idx].strip() + + # Extract array header info + bracket_start = line.find("[") + bracket_end = line.find("]") + + if bracket_start == -1 or bracket_end == -1: + raise ValueError(f"Invalid array format: {line}") + + header_part = line[bracket_end + 1 :].lstrip() + if not header_part.startswith(":"): + raise ValueError(f"Invalid array format: {line}") + + bracket_content = line[bracket_start + 1 : bracket_end] + + # Check for tabular format + if "{" in header_part and "}" in header_part: + return self._parse_tabular_array(lines, start_idx, bracket_content) + + # Check for primitive array (single line) + value_part = header_part[1:].strip() + if value_part and start_idx + 1 < len(lines): + next_line = lines[start_idx + 1].strip() + if not next_line.startswith("-") and next_line: + # Single line primitive array + return self._parse_primitive_array_line( + value_part, bracket_content + ), start_idx + 2 + + # Mixed array format + return self._parse_mixed_array(lines, start_idx + 1, bracket_content) + + def _parse_tabular_array( + self, lines: List[str], start_idx: int, bracket_content: str + ) -> tuple[List[Dict[str, Any]], int]: + """Parse tabular array format.""" + header_line = lines[start_idx] + + # Extract field names + fields_start = header_line.find("{") + fields_end = header_line.find("}") + fields_str = header_line[fields_start + 1 : fields_end] + fields = [f.strip() for f in fields_str.split(",")] + + # Determine delimiter + delimiter = self._extract_delimiter(bracket_content) + + # Parse data rows + results = [] + current_idx = start_idx + 1 + base_indent = len(lines[start_idx]) - len(lines[start_idx].lstrip()) + + while current_idx < len(lines): + line = lines[current_idx].rstrip() + + if not line.strip(): + current_idx += 1 + continue + + line_indent = len(line) - len(line.lstrip()) + + # Check if we're still in the array + if line_indent <= base_indent: + break + + # Parse row + row_data = line.strip() + values = [v.strip() for v in row_data.split(delimiter)] + + if len(values) == len(fields): + row_obj = {} + for field, value in zip(fields, values): + row_obj[field] = self._parse_primitive(value) + results.append(row_obj) + + current_idx += 1 + + return results, current_idx + + def _parse_primitive_array_line( + self, value_part: str, bracket_content: str + ) -> List[Any]: + """Parse primitive array from single line.""" + delimiter = self._extract_delimiter(bracket_content) + values = [v.strip() for v in value_part.split(delimiter)] + return [self._parse_primitive(v) for v in values] + + def _parse_mixed_array( + self, lines: List[str], start_idx: int, bracket_content: str + ) -> tuple[List[Any], int]: + """Parse mixed array format.""" + results = [] + current_idx = start_idx + base_indent = ( + len(lines[start_idx - 1]) - len(lines[start_idx - 1].lstrip()) + if start_idx > 0 + else 0 + ) + + while current_idx < len(lines): + line = lines[current_idx].rstrip() + + if not line.strip(): + current_idx += 1 + continue + + line_indent = len(line) - len(line.lstrip()) + + if line_indent <= base_indent: + break + + if line.lstrip().startswith("- "): + # List item + item_content = line.lstrip()[2:].strip() + if item_content: + results.append(self._parse_primitive(item_content)) + else: + # Multi-line object + obj, next_idx = self._parse_object(lines, current_idx + 1) + results.append(obj) + current_idx = next_idx + continue + + current_idx += 1 + + return results, current_idx + + def _extract_delimiter(self, bracket_content: str) -> str: + """Extract delimiter from bracket content.""" + # Remove length marker + content = re.sub(r"^#?\d+", "", bracket_content) + + if content == "," or not content: + return "," + elif content == "\t": + return "\t" + elif content == "|": + return "|" + else: + return "," + + def _parse_primitive(self, value_str: str) -> Any: + """Parse primitive value from string.""" + value_str = value_str.strip() + + if not value_str: + return "" + + # Handle quoted strings + if value_str.startswith('"') and value_str.endswith('"'): + return value_str[1:-1] # Remove quotes + + # Handle null + if value_str.lower() == "null": + return None + + # Handle booleans + if value_str.lower() == "true": + return True + elif value_str.lower() == "false": + return False + + # Try to parse as number + try: + if "." in value_str: + return float(value_str) + else: + return int(value_str) + except ValueError: + pass + + # Return as string + return value_str + + +def encode(value: Any, options: Optional[EncodeOptions] = None) -> str: + """ + Encode a Python value to TOON format. + + Args: + value: The value to encode + options: Encoding options + + Returns: + TOON-formatted string + """ + encoder = TOONEncoder(options) + return encoder.encode(value) + + +def decode(toon_str: str, options: Optional[DecodeOptions] = None) -> Any: + """ + Decode a TOON-formatted string to Python objects. + + Args: + toon_str: TOON-formatted string + options: Decoding options + + Returns: + Decoded Python object + """ + decoder = TOONDecoder(options) + return decoder.decode(toon_str) + + +def calculate_token_savings(original_json: str, toon_str: str) -> Dict[str, Any]: + """ + Calculate token savings between JSON and TOON formats. + + Args: + original_json: Original JSON string + toon_str: TOON-formatted string + + Returns: + Dictionary with savings statistics + """ + json_length = len(original_json) + toon_length = len(toon_str) + + if json_length == 0: + return {"error": "Empty JSON string"} + + savings_chars = json_length - toon_length + savings_percent = (savings_chars / json_length) * 100 + + return { + "json_length": json_length, + "toon_length": toon_length, + "savings_chars": savings_chars, + "savings_percent": round(savings_percent, 1), + "compression_ratio": round(toon_length / json_length, 3), + } diff --git a/modelcontextprotocol/utils/toon_config.py b/modelcontextprotocol/utils/toon_config.py new file mode 100644 index 0000000..3a9f23c --- /dev/null +++ b/modelcontextprotocol/utils/toon_config.py @@ -0,0 +1,246 @@ +""" +Configuration system for TOON optimization in the MCP toolkit. + +This module provides intelligent configuration for when to use TOON formatting +based on data structure characteristics and expected token savings. +""" + +import os +import logging +from typing import Dict, Any, Optional +from dataclasses import dataclass +from .toon import EncodeOptions, DelimiterType + +logger = logging.getLogger(__name__) + + +@dataclass +class TOONConfig: + """Configuration for TOON optimization.""" + + # Global enable/disable + enabled: bool = True + + # Minimum token savings threshold to use TOON (percentage) + min_savings_threshold: float = 5.0 + + # Data structure specific settings + enable_for_search_results: bool = True + enable_for_lineage_results: bool = True + enable_for_dsl_queries: bool = ( + False # Complex nested structures often don't compress well + ) + enable_for_update_results: bool = True + enable_for_asset_lists: bool = True + + # TOON encoding options + toon_options: EncodeOptions = None + + def __post_init__(self): + """Initialize default TOON options if not provided.""" + if self.toon_options is None: + self.toon_options = EncodeOptions( + indent=2, + delimiter=DelimiterType.COMMA, + length_marker=None, # Can be enabled with "#" for validation + ) + + +class TOONConfigManager: + """Manager for TOON configuration with environment variable support.""" + + def __init__(self): + """Initialize configuration manager.""" + self._config = self._load_config() + + def _load_config(self) -> TOONConfig: + """Load configuration from environment variables.""" + config = TOONConfig() + + # Global settings + config.enabled = os.getenv("TOON_ENABLED", "true").lower() == "true" + config.min_savings_threshold = float(os.getenv("TOON_MIN_SAVINGS", "5.0")) + + # Data structure specific settings + config.enable_for_search_results = ( + os.getenv("TOON_SEARCH_RESULTS", "true").lower() == "true" + ) + config.enable_for_lineage_results = ( + os.getenv("TOON_LINEAGE_RESULTS", "true").lower() == "true" + ) + config.enable_for_dsl_queries = ( + os.getenv("TOON_DSL_QUERIES", "false").lower() == "true" + ) + config.enable_for_update_results = ( + os.getenv("TOON_UPDATE_RESULTS", "true").lower() == "true" + ) + config.enable_for_asset_lists = ( + os.getenv("TOON_ASSET_LISTS", "true").lower() == "true" + ) + + # TOON encoding options + delimiter_str = os.getenv("TOON_DELIMITER", "comma").lower() + delimiter = DelimiterType.COMMA + if delimiter_str == "tab": + delimiter = DelimiterType.TAB + elif delimiter_str == "pipe": + delimiter = DelimiterType.PIPE + + indent = int(os.getenv("TOON_INDENT", "2")) + length_marker = os.getenv("TOON_LENGTH_MARKER", "").strip() or None + + config.toon_options = EncodeOptions( + indent=indent, delimiter=delimiter, length_marker=length_marker + ) + + logger.info( + f"TOON configuration loaded: enabled={config.enabled}, " + f"min_savings={config.min_savings_threshold}%" + ) + + return config + + def get_config(self) -> TOONConfig: + """Get current configuration.""" + return self._config + + def should_use_toon_for_search_results(self) -> bool: + """Check if TOON should be used for search results.""" + return self._config.enabled and self._config.enable_for_search_results + + def should_use_toon_for_lineage_results(self) -> bool: + """Check if TOON should be used for lineage results.""" + return self._config.enabled and self._config.enable_for_lineage_results + + def should_use_toon_for_dsl_queries(self) -> bool: + """Check if TOON should be used for DSL queries.""" + return self._config.enabled and self._config.enable_for_dsl_queries + + def should_use_toon_for_update_results(self) -> bool: + """Check if TOON should be used for update results.""" + return self._config.enabled and self._config.enable_for_update_results + + def should_use_toon_for_asset_lists(self) -> bool: + """Check if TOON should be used for asset lists.""" + return self._config.enabled and self._config.enable_for_asset_lists + + def get_toon_options(self) -> EncodeOptions: + """Get TOON encoding options.""" + return self._config.toon_options + + def reload_config(self) -> None: + """Reload configuration from environment variables.""" + self._config = self._load_config() + + +# Global configuration manager instance +_config_manager: Optional[TOONConfigManager] = None + + +def get_toon_config_manager() -> TOONConfigManager: + """Get the global TOON configuration manager.""" + global _config_manager + if _config_manager is None: + _config_manager = TOONConfigManager() + return _config_manager + + +def is_toon_beneficial_for_data(data: Any) -> bool: + """ + Analyze data structure to determine if TOON would be beneficial. + + Args: + data: Data structure to analyze + + Returns: + True if TOON is likely to provide good compression + """ + if isinstance(data, list): + if not data: + return False + + # Check if it's a uniform array (good for tabular format) + if len(data) > 1 and all(isinstance(item, dict) for item in data): + first_keys = set(data[0].keys()) if data[0] else set() + if all(set(item.keys()) == first_keys for item in data[1:]): + # Check if values are mostly primitives + primitive_ratio = 0 + total_values = 0 + for item in data: + for value in item.values(): + total_values += 1 + if not isinstance(value, (dict, list)): + primitive_ratio += 1 + + if total_values > 0 and (primitive_ratio / total_values) > 0.7: + return True + + # Primitive arrays are usually good + if all(not isinstance(item, (dict, list)) for item in data): + return True + + elif isinstance(data, dict): + # Simple objects with mostly primitive values are good + if data: + primitive_count = sum( + 1 for v in data.values() if not isinstance(v, (dict, list)) + ) + total_count = len(data) + if total_count > 0 and (primitive_count / total_count) > 0.6: + return True + + return False + + +def analyze_data_structure(data: Any) -> Dict[str, Any]: + """ + Analyze data structure characteristics for TOON optimization decisions. + + Args: + data: Data structure to analyze + + Returns: + Dictionary with analysis results + """ + analysis = { + "type": type(data).__name__, + "size": 0, + "depth": 0, + "primitive_ratio": 0.0, + "uniform_arrays": 0, + "nested_objects": 0, + "toon_recommended": False, + } + + def analyze_recursive(obj, current_depth=0): + analysis["depth"] = max(analysis["depth"], current_depth) + + if isinstance(obj, dict): + analysis["size"] += len(obj) + analysis["nested_objects"] += 1 + for value in obj.values(): + analyze_recursive(value, current_depth + 1) + elif isinstance(obj, list): + analysis["size"] += len(obj) + if obj and all(isinstance(item, dict) for item in obj): + # Check uniformity + first_keys = set(obj[0].keys()) if obj[0] else set() + if all(set(item.keys()) == first_keys for item in obj[1:]): + analysis["uniform_arrays"] += 1 + for item in obj: + analyze_recursive(item, current_depth + 1) + else: + # Primitive value + analysis["primitive_ratio"] += 1 + + analyze_recursive(data) + + # Calculate primitive ratio + total_values = analysis["size"] + analysis["primitive_ratio"] + if total_values > 0: + analysis["primitive_ratio"] = analysis["primitive_ratio"] / total_values + + # Determine if TOON is recommended + analysis["toon_recommended"] = is_toon_beneficial_for_data(data) + + return analysis diff --git a/modelcontextprotocol/uv.lock b/modelcontextprotocol/uv.lock index 2893b99..fd6bdc1 100644 --- a/modelcontextprotocol/uv.lock +++ b/modelcontextprotocol/uv.lock @@ -35,10 +35,19 @@ dependencies = [ [package.metadata] 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