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integrations
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__init__.py
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__pycache__
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_asgi_common.py
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anthropic.py
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argv.py
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atexit.py
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aws_lambda.py
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beam.py
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boto3.py
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bottle.py
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celery
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clickhouse_driver.py
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cloud_resource_context.py
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dedupe.py
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django
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excepthook.py
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executing.py
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openai_agents
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otlp.py
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pure_eval.py
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pydantic_ai
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Editing: pure_eval.py
import ast import sentry_sdk from sentry_sdk import serializer from sentry_sdk.integrations import Integration, DidNotEnable from sentry_sdk.scope import add_global_event_processor from sentry_sdk.utils import walk_exception_chain, iter_stacks from typing import TYPE_CHECKING if TYPE_CHECKING: from typing import Optional, Dict, Any, Tuple, List from types import FrameType from sentry_sdk._types import Event, Hint try: import executing except ImportError: raise DidNotEnable("executing is not installed") try: import pure_eval except ImportError: raise DidNotEnable("pure_eval is not installed") try: # Used implicitly, just testing it's available import asttokens # noqa except ImportError: raise DidNotEnable("asttokens is not installed") class PureEvalIntegration(Integration): identifier = "pure_eval" @staticmethod def setup_once(): # type: () -> None @add_global_event_processor def add_executing_info(event, hint): # type: (Event, Optional[Hint]) -> Optional[Event] if sentry_sdk.get_client().get_integration(PureEvalIntegration) is None: return event if hint is None: return event exc_info = hint.get("exc_info", None) if exc_info is None: return event exception = event.get("exception", None) if exception is None: return event values = exception.get("values", None) if values is None: return event for exception, (_exc_type, _exc_value, exc_tb) in zip( reversed(values), walk_exception_chain(exc_info) ): sentry_frames = [ frame for frame in exception.get("stacktrace", {}).get("frames", []) if frame.get("function") ] tbs = list(iter_stacks(exc_tb)) if len(sentry_frames) != len(tbs): continue for sentry_frame, tb in zip(sentry_frames, tbs): sentry_frame["vars"] = ( pure_eval_frame(tb.tb_frame) or sentry_frame["vars"] ) return event def pure_eval_frame(frame): # type: (FrameType) -> Dict[str, Any] source = executing.Source.for_frame(frame) if not source.tree: return {} statements = source.statements_at_line(frame.f_lineno) if not statements: return {} scope = stmt = list(statements)[0] while True: # Get the parent first in case the original statement is already # a function definition, e.g. if we're calling a decorator # In that case we still want the surrounding scope, not that function scope = scope.parent if isinstance(scope, (ast.FunctionDef, ast.ClassDef, ast.Module)): break evaluator = pure_eval.Evaluator.from_frame(frame) expressions = evaluator.interesting_expressions_grouped(scope) def closeness(expression): # type: (Tuple[List[Any], Any]) -> Tuple[int, int] # Prioritise expressions with a node closer to the statement executed # without being after that statement # A higher return value is better - the expression will appear # earlier in the list of values and is less likely to be trimmed nodes, _value = expression def start(n): # type: (ast.expr) -> Tuple[int, int] return (n.lineno, n.col_offset) nodes_before_stmt = [ node for node in nodes if start(node) < stmt.last_token.end # type: ignore ] if nodes_before_stmt: # The position of the last node before or in the statement return max(start(node) for node in nodes_before_stmt) else: # The position of the first node after the statement # Negative means it's always lower priority than nodes that come before # Less negative means closer to the statement and higher priority lineno, col_offset = min(start(node) for node in nodes) return (-lineno, -col_offset) # This adds the first_token and last_token attributes to nodes atok = source.asttokens() expressions.sort(key=closeness, reverse=True) vars = { atok.get_text(nodes[0]): value for nodes, value in expressions[: serializer.MAX_DATABAG_BREADTH] } return serializer.serialize(vars, is_vars=True)
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