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69 lines
2.5 KiB
Python
69 lines
2.5 KiB
Python
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from dataclasses import dataclass, field
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import logging
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from lego_util.exceptions import (
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TypeNotFoundInGhidraError,
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ClassOrNamespaceNotFoundInGhidraError,
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)
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logger = logging.getLogger(__name__)
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@dataclass
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class Statistics:
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functions_changed: int = 0
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successes: int = 0
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failures: dict[str, int] = field(default_factory=dict)
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known_missing_types: dict[str, int] = field(default_factory=dict)
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known_missing_namespaces: dict[str, int] = field(default_factory=dict)
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def track_failure_and_tell_if_new(self, error: Exception) -> bool:
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"""
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Adds the error to the statistics. Returns `False` if logging the error would be redundant
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(e.g. because it is a `TypeNotFoundInGhidraError` with a type that has been logged before).
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"""
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error_type_name = error.__class__.__name__
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self.failures[error_type_name] = (
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self.failures.setdefault(error_type_name, 0) + 1
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)
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if isinstance(error, TypeNotFoundInGhidraError):
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return self._add_occurence_and_check_if_new(
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self.known_missing_types, error.args[0]
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)
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if isinstance(error, ClassOrNamespaceNotFoundInGhidraError):
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return self._add_occurence_and_check_if_new(
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self.known_missing_namespaces, error.get_namespace_str()
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)
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# We do not have detailed tracking for other errors, so we want to log them every time
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return True
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def _add_occurence_and_check_if_new(self, target: dict[str, int], key: str) -> bool:
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old_count = target.setdefault(key, 0)
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target[key] = old_count + 1
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return old_count == 0
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def log(self):
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logger.info("Statistics:\n~~~~~")
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logger.info(
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"Missing types (with number of occurences): %s\n~~~~~",
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self.format_statistics(self.known_missing_types),
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)
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logger.info(
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"Missing classes/namespaces (with number of occurences): %s\n~~~~~",
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self.format_statistics(self.known_missing_namespaces),
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)
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logger.info("Successes: %d", self.successes)
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logger.info("Failures: %s", self.failures)
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logger.info("Functions changed: %d", self.functions_changed)
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def format_statistics(self, stats: dict[str, int]) -> str:
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if len(stats) == 0:
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return "<none>"
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return ", ".join(
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f"{entry[0]} ({entry[1]})"
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for entry in sorted(stats.items(), key=lambda x: x[1], reverse=True)
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)
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