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Add graphrag (#1793)
### What problem does this PR solve? #1594 ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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74
graphrag/utils.py
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74
graphrag/utils.py
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#
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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"""
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Reference:
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- [graphrag](https://github.com/microsoft/graphrag)
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"""
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import html
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import re
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from collections.abc import Callable
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from typing import Any
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ErrorHandlerFn = Callable[[BaseException | None, str | None, dict | None], None]
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def perform_variable_replacements(
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input: str, history: list[dict]=[], variables: dict | None ={}
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) -> str:
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"""Perform variable replacements on the input string and in a chat log."""
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result = input
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def replace_all(input: str) -> str:
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result = input
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if variables:
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for entry in variables:
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result = result.replace(f"{{{entry}}}", variables[entry])
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return result
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result = replace_all(result)
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for i in range(len(history)):
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entry = history[i]
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if entry.get("role") == "system":
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history[i]["content"] = replace_all(entry.get("content") or "")
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return result
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def clean_str(input: Any) -> str:
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"""Clean an input string by removing HTML escapes, control characters, and other unwanted characters."""
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# If we get non-string input, just give it back
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if not isinstance(input, str):
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return input
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result = html.unescape(input.strip())
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# https://stackoverflow.com/questions/4324790/removing-control-characters-from-a-string-in-python
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return re.sub(r"[\"\x00-\x1f\x7f-\x9f]", "", result)
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def dict_has_keys_with_types(
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data: dict, expected_fields: list[tuple[str, type]]
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) -> bool:
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"""Return True if the given dictionary has the given keys with the given types."""
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for field, field_type in expected_fields:
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if field not in data:
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return False
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value = data[field]
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if not isinstance(value, field_type):
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return False
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return True
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