mirror of
https://github.com/agentscope-ai/ReMe.git
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- Introduce Application class for managing application lifecycle - Add base component classes for LLM formatters and token counters - Implement embedding model base with caching and batching support - Create file watcher base with watchfiles integration - Add job and step base components for workflow execution - Update base component with async locks and improved lifecycle management - Register new component types in component registry - Add application context and runtime context for dependency injection
111 lines
4.3 KiB
Python
111 lines
4.3 KiB
Python
"""Module for managing and formatting prompt templates."""
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import inspect
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import json
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import re
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from pathlib import Path
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from string import Formatter
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import yaml
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_FLAG_PATTERN = re.compile(r"^\[(\w+)\]")
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class PromptHandler:
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"""A handler for loading, retrieving, and formatting prompt templates."""
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_SUPPORTED_EXTENSIONS = {".yaml", ".yml", ".json"}
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def __init__(self, language: str = "", **kwargs):
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self.data: dict[str, str] = {k: v for k, v in kwargs.items() if isinstance(v, str)}
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self.language: str = language.strip()
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def load_prompt_by_file(
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self,
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prompt_file_path: str | Path | None = None,
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overwrite: bool = True,
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) -> "PromptHandler":
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"""Load prompts from a YAML or JSON file."""
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if prompt_file_path is None:
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return self
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path = Path(prompt_file_path)
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if not path.exists() or path.suffix.lower() not in self._SUPPORTED_EXTENSIONS:
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return self
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try:
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with path.open(encoding="utf-8") as f:
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prompt_dict = yaml.safe_load(f) if path.suffix.lower() in (".yaml", ".yml") else json.load(f)
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except (json.JSONDecodeError, yaml.YAMLError, OSError):
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return self
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return self.load_prompt_dict(prompt_dict, overwrite)
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def load_prompt_by_class(self, cls: type, overwrite: bool = True) -> "PromptHandler":
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"""Load prompts from a YAML file named after the class."""
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try:
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base_path = Path(inspect.getfile(cls)).with_suffix("")
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except (TypeError, OSError):
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return self
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for ext in (".yaml", ".yml"):
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if (prompt_path := base_path.with_suffix(ext)).exists():
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return self.load_prompt_by_file(prompt_path, overwrite)
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return self
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def load_prompt_dict(self, prompt_dict: dict | None = None, overwrite: bool = True) -> "PromptHandler":
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"""Merge prompts from a dictionary."""
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if not isinstance(prompt_dict, dict):
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return self
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for key, value in prompt_dict.items():
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if isinstance(value, str) and (overwrite or key not in self.data):
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self.data[key] = value
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return self
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def get_prompt(self, prompt_name: str) -> str:
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"""Retrieve a prompt by name with language suffix fallback."""
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for key in (f"{prompt_name}_{self.language}", prompt_name) if self.language else (prompt_name,):
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if key in self.data:
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return self.data[key].strip()
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raise KeyError(f"Prompt '{prompt_name}' not found. Available: {list(self.data.keys())[:10]}")
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def has_prompt(self, prompt_name: str) -> bool:
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"""Check if a prompt exists."""
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keys = (f"{prompt_name}_{self.language}", prompt_name) if self.language else (prompt_name,)
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return any(k in self.data for k in keys)
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def list_prompts(self, language_filter: str | None = None) -> list[str]:
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"""List all available prompt names."""
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if language_filter is None:
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return list(self.data.keys())
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suffix = f"_{language_filter.strip()}"
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return [k for k in self.data if k.endswith(suffix)]
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def prompt_format(self, prompt_name: str, validate: bool = True, **kwargs) -> str:
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"""Format a prompt with conditional line filtering and variable substitution."""
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prompt = self.get_prompt(prompt_name)
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flags = {k: v for k, v in kwargs.items() if isinstance(v, bool)}
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formats = {k: v for k, v in kwargs.items() if not isinstance(v, bool)}
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if flags:
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lines = []
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for line in prompt.split("\n"):
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active_flags = _FLAG_PATTERN.findall(line)
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cleaned = _FLAG_PATTERN.sub("", line).lstrip()
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if not active_flags or any(flags.get(f, False) for f in active_flags):
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lines.append(cleaned)
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prompt = "\n".join(lines)
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if validate:
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required = {f for _, f, _, _ in Formatter().parse(prompt) if f is not None}
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if missing := required - set(formats.keys()):
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raise ValueError(f"Missing format variables for '{prompt_name}': {sorted(missing)}")
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return prompt.format(**formats).strip() if formats else prompt
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def __repr__(self) -> str:
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return f"PromptHandler(language='{self.language}', num_prompts={len(self.data)})"
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