"""
OptsDict: Copy-on-write dictionary optimized for Salt's opts pattern.

This module provides a memory-efficient alternative to copy.deepcopy(opts)
by implementing true copy-on-write semantics at the key level, with full
mutation tracking for future unwinding.

Key Features:
- Only duplicates data for keys that are actually mutated
- Tracks all mutations with stack traces for auditing
- Provides reports to identify unwinding opportunities
- Maintains dict interface for backward compatibility
- Thread-safe for concurrent access

Example:
    >>> base_opts = {'grains': {...}, 'pillar': {...}, 'test': False}
    >>> child = OptsDict(base_opts)
    >>> child['test'] = True  # Only 'test' is copied, grains/pillar shared
    >>> child.get_mutation_report()
    {
        'test': {
            'mutated_by': ['salt.utils.state.get_sls_opts:211'],
            'mutation_count': 1,
            'original_value': False,
            'current_value': True
        }
    }
"""

from __future__ import annotations

import copy
import logging
import sys
import threading
import traceback
import weakref
from typing import Any

NamedLoaderContext = None

log = logging.getLogger(__name__)


class _DeletedKey:
    """Sentinel to mark keys that have been deleted from inherited dicts."""

    __slots__ = ()

    def __repr__(self):
        return "<DELETED>"


# Singleton sentinel instance
_DELETED = _DeletedKey()


class DictProxy(dict):
    """
    Proxy for dict that triggers copy-on-write in parent OptsDict on mutation.

    Subclasses dict to pass isinstance checks while providing copy-on-write semantics.
    """

    def __init__(self, target: dict, parent_optsdict: OptsDict, key: str):
        # Initialize underlying dict with target data AND keep _target
        # We need both: underlying dict for C code, _target for our logic
        super().__init__(target)
        object.__setattr__(self, "_target", target)
        object.__setattr__(self, "_parent", parent_optsdict)
        object.__setattr__(self, "_key", key)
        object.__setattr__(self, "_copied", False)

    def _ensure_copied(self):
        """Copy target to parent's _local on first mutation."""
        if not object.__getattribute__(self, "_copied"):
            parent = object.__getattribute__(self, "_parent")
            key = object.__getattribute__(self, "_key")
            target = object.__getattribute__(self, "_target")

            with parent._lock:
                # Deep copy the entire dict to parent's _local
                copied = copy.deepcopy(target)
                parent._local[key] = copied
                object.__setattr__(self, "_target", copied)
                # Also update the underlying dict storage
                dict.clear(self)
                dict.update(self, copied)
                object.__setattr__(self, "_copied", True)

    def __getitem__(self, key):
        target = object.__getattribute__(self, "_target")
        value = target[key]
        # For nested mutable values, copy THIS dict first,
        # then return the value from the copied dict without further wrapping
        if isinstance(value, (dict, list)) and not object.__getattribute__(
            self, "_copied"
        ):
            # Trigger copy-on-access for nested mutables to prevent unwrapped references
            self._ensure_copied()
            # Return value from the now-copied target
            target = object.__getattribute__(self, "_target")
            return target[key]
        return value

    def __setitem__(self, key, value):
        self._ensure_copied()
        object.__getattribute__(self, "_target")[key] = value
        # Also update underlying dict
        dict.__setitem__(self, key, value)

    def __delitem__(self, key):
        self._ensure_copied()
        del object.__getattribute__(self, "_target")[key]
        # Also update underlying dict
        dict.__delitem__(self, key)

    def __iter__(self):
        return iter(object.__getattribute__(self, "_target"))

    def __len__(self):
        return len(object.__getattribute__(self, "_target"))

    def __repr__(self):
        return repr(object.__getattribute__(self, "_target"))

    def __str__(self):
        return str(object.__getattribute__(self, "_target"))

    def __contains__(self, key):
        return key in object.__getattribute__(self, "_target")

    def keys(self):
        return object.__getattribute__(self, "_target").keys()

    def values(self):
        return object.__getattribute__(self, "_target").values()

    def items(self):
        return object.__getattribute__(self, "_target").items()

    def get(self, key, default=None):
        return object.__getattribute__(self, "_target").get(key, default)

    def pop(self, key, *args):
        self._ensure_copied()
        result = object.__getattribute__(self, "_target").pop(key, *args)
        # Also update underlying dict
        dict.pop(self, key, *args)
        return result

    def update(self, *args, **kwargs):
        self._ensure_copied()
        object.__getattribute__(self, "_target").update(*args, **kwargs)
        # Also update underlying dict
        dict.update(self, *args, **kwargs)

    def setdefault(self, key, default=None):
        self._ensure_copied()
        result = object.__getattribute__(self, "_target").setdefault(key, default)
        # Also update underlying dict
        dict.setdefault(self, key, default)
        return result

    def __deepcopy__(self, memo):
        """Return a deep copy of the underlying dict, not the proxy."""
        target = object.__getattribute__(self, "_target")
        return copy.deepcopy(target, memo)

    def __reduce_ex__(self, protocol):
        """For pickling, return the underlying dict, not the proxy."""
        target = object.__getattribute__(self, "_target")
        return (dict, (target,))


class ListProxy(list):
    """
    Proxy for list that triggers copy-on-write in parent OptsDict on mutation.

    Subclasses list to pass isinstance checks while providing copy-on-write semantics.
    """

    def __init__(self, target: list, parent_optsdict: OptsDict, key: str):
        # Initialize underlying list with target data AND keep _target
        # We need both: underlying list for C code, _target for our logic
        super().__init__(target)
        object.__setattr__(self, "_target", target)
        object.__setattr__(self, "_parent", parent_optsdict)
        object.__setattr__(self, "_key", key)
        object.__setattr__(self, "_copied", False)

    def _ensure_copied(self):
        """Copy target to parent's _local on first mutation."""
        if not object.__getattribute__(self, "_copied"):
            parent = object.__getattribute__(self, "_parent")
            key = object.__getattribute__(self, "_key")
            target = object.__getattribute__(self, "_target")

            with parent._lock:
                # Deep copy the entire list to parent's _local
                copied = copy.deepcopy(target)
                parent._local[key] = copied
                object.__setattr__(self, "_target", copied)
                object.__setattr__(self, "_copied", True)

    def __getitem__(self, index):
        return object.__getattribute__(self, "_target")[index]

    def __setitem__(self, index, value):
        self._ensure_copied()
        object.__getattribute__(self, "_target")[index] = value

    def __delitem__(self, index):
        self._ensure_copied()
        del object.__getattribute__(self, "_target")[index]

    def __len__(self):
        return len(object.__getattribute__(self, "_target"))

    def __iter__(self):
        return iter(object.__getattribute__(self, "_target"))

    def __contains__(self, item):
        return item in object.__getattribute__(self, "_target")

    def insert(self, index, value):
        self._ensure_copied()
        object.__getattribute__(self, "_target").insert(index, value)

    def append(self, value):
        self._ensure_copied()
        object.__getattribute__(self, "_target").append(value)

    def extend(self, values):
        self._ensure_copied()
        object.__getattribute__(self, "_target").extend(values)

    def remove(self, value):
        self._ensure_copied()
        object.__getattribute__(self, "_target").remove(value)

    def pop(self, index=-1):
        self._ensure_copied()
        return object.__getattribute__(self, "_target").pop(index)

    def __deepcopy__(self, memo):
        """Return a deep copy of the underlying list, not the proxy."""
        return copy.deepcopy(object.__getattribute__(self, "_target"), memo)

    def __reduce_ex__(self, protocol):
        """For pickling, return the underlying list, not the proxy."""
        return (list, (object.__getattribute__(self, "_target"),))

    def clear(self):
        self._ensure_copied()
        object.__getattribute__(self, "_target").clear()

    def __repr__(self):
        return repr(object.__getattribute__(self, "_target"))

    def __str__(self):
        return str(object.__getattribute__(self, "_target"))

    def __eq__(self, other):
        target = object.__getattribute__(self, "_target")
        if isinstance(other, ListProxy):
            return target == object.__getattribute__(other, "_target")
        return target == other

    def index(self, value, *args):
        """Return first index of value."""
        return object.__getattribute__(self, "_target").index(value, *args)

    def count(self, value):
        """Return number of occurrences of value."""
        return object.__getattribute__(self, "_target").count(value)


# DictProxy and ListProxy now subclass dict and list respectively, so they pass
# isinstance checks. This ensures compatibility with Salt code that uses isinstance(x, dict).


class MutationTracker:
    """
    Tracks mutations to OptsDict keys for auditing and future unwinding.

    For each mutated key, we track:
    - Where the mutation happened (file, line, function)
    - When it happened (order of mutations)
    - What the original value was
    - How many times it's been mutated
    """

    def __init__(self, track_mutations: bool = True, max_stack_depth: int = 10):
        self.track_mutations = track_mutations
        self.max_stack_depth = max_stack_depth
        self._lock = threading.RLock()
        if track_mutations:
            self._mutations: dict[str, dict[str, Any]] = {}
            self._mutation_order: list[str] = []
        else:
            # Don't allocate data structures if tracking is disabled
            self._mutations = None
            self._mutation_order = None

    def record_mutation(self, key: str, original_value: Any, new_value: Any):
        """
        Record a mutation of a key with stack trace.

        Args:
            key: The opts key being mutated
            original_value: The original value before mutation
            new_value: The new value being set
        """
        if not self.track_mutations:
            return

        with self._lock:
            # Capture stack trace
            stack = traceback.extract_stack(limit=self.max_stack_depth)
            # Filter out frames from this file
            stack = [frame for frame in stack if "optsdict.py" not in frame.filename]

            # Format stack trace for readability
            caller_info = []
            for frame in stack[-3:]:  # Last 3 frames (most relevant)
                caller_info.append(f"{frame.filename}:{frame.lineno} in {frame.name}")

            if key not in self._mutations:
                # First mutation of this key
                self._mutations[key] = {
                    "original_value": original_value,
                    "current_value": new_value,
                    "mutation_count": 1,
                    "first_mutation_stack": caller_info,
                    "all_mutations": [caller_info],
                    "mutation_sequence": [new_value],
                }
                self._mutation_order.append(key)
            else:
                # Subsequent mutation
                self._mutations[key]["mutation_count"] += 1
                self._mutations[key]["current_value"] = new_value
                self._mutations[key]["all_mutations"].append(caller_info)
                self._mutations[key]["mutation_sequence"].append(new_value)

    def get_mutation_report(self, verbose: bool = False) -> dict[str, Any]:
        """
        Generate a report of all mutations.

        Args:
            verbose: If True, include full mutation history

        Returns:
            Dictionary containing mutation statistics and details
        """
        if not self.track_mutations:
            return {}

        with self._lock:
            if not verbose:
                # Concise report
                return {
                    key: {
                        "mutation_count": info["mutation_count"],
                        "first_mutated_at": info["first_mutation_stack"],
                        "original_value_type": type(info["original_value"]).__name__,
                        "current_value_type": type(info["current_value"]).__name__,
                    }
                    for key, info in self._mutations.items()
                }
            else:
                # Full report with history
                return copy.deepcopy(self._mutations)

    def get_hotspot_keys(self, min_mutations: int = 2) -> list[str]:
        """
        Identify keys that are frequently mutated (hotspots).

        These are candidates for being designed as mutable from the start.

        Args:
            min_mutations: Minimum mutation count to be considered a hotspot

        Returns:
            List of keys sorted by mutation count (descending)
        """
        with self._lock:
            hotspots = [
                (key, info["mutation_count"])
                for key, info in self._mutations.items()
                if info["mutation_count"] >= min_mutations
            ]
            return [
                key for key, _ in sorted(hotspots, key=lambda x: x[1], reverse=True)
            ]

    def get_mutation_locations(self) -> dict[str, set[str]]:
        """
        Get all unique locations where mutations happen.

        Returns:
            Dict mapping location strings to set of keys mutated there
        """
        with self._lock:
            locations = {}
            for key, info in self._mutations.items():
                for stack in info["all_mutations"]:
                    # Use the most recent frame (actual mutation site)
                    location = stack[-1] if stack else "unknown"
                    if location not in locations:
                        locations[location] = set()
                    locations[location].add(key)
            return locations


class OptsDict(dict):
    """
    Copy-on-write dictionary for Salt opts.

    Inherits from dict for full compatibility with isinstance(opts, dict) checks
    while providing copy-on-write semantics for memory efficiency.

    This class implements true copy-on-write semantics at the key level:
    - Keys are only copied when first mutated
    - Nested structures are handled properly (deep COW)
    - Parent data is shared until modification
    - Full mutation tracking for auditing

    Thread-safe for concurrent reads; writes are serialized per instance.

    Example:
        >>> parent_opts = {'grains': {...}, 'pillar': {...}, 'test': False}
        >>> child = OptsDict.from_parent(parent_opts)
        >>> child['test'] = True  # Only copies 'test', not grains/pillar
        >>> 'grains' in child  # True (shared from parent)
        >>> child['test']  # True (local mutation)
        >>> isinstance(child, dict)  # True (for compatibility)
    """

    def __init__(
        self,
        base_dict: dict[str, Any] | None = None,
        parent: OptsDict | None = None,
        track_mutations: bool = False,
        name: str | None = None,
    ):
        """
        Initialize OptsDict.

        Args:
            base_dict: Initial dictionary (for root instance)
            parent: Parent OptsDict to inherit from (for child instances)
            track_mutations: Enable mutation tracking (disabled by default to save memory)
            name: Optional name for debugging (e.g., "loader:states", "state:highstate")
        """
        # Initialize dict parent WITHOUT data (we handle storage ourselves)
        super().__init__()

        self._parent = parent
        self._local = {}  # Keys that have been copied/mutated locally
        self._base = base_dict if base_dict is not None else {}
        self._name = name or f"OptsDict@{id(self)}"
        self._lock = threading.RLock()

        # Mutation tracking
        if parent and parent._tracker:
            # Inherit parent's tracker
            self._tracker = parent._tracker
        else:
            # Root instance - create new tracker
            self._tracker = MutationTracker(track_mutations=track_mutations)

    def _ensure_lock(self) -> threading.RLock:
        """
        Ensure _lock exists and return it.

        This is needed for unpickling, where dict restoration may call
        methods before our attributes are fully initialized.
        """
        if not hasattr(self, "_lock") or self._lock is None:
            object.__setattr__(self, "_lock", threading.RLock())
        return self._lock

    @classmethod
    def from_parent(cls, parent: OptsDict, name: str | None = None) -> OptsDict:
        """
        Create a child OptsDict that shares parent's data.

        Args:
            parent: Parent OptsDict to inherit from
            name: Optional name for debugging

        Returns:
            New OptsDict instance sharing parent's data
        """
        return cls(parent=parent, name=name)

    @classmethod
    def from_dict(
        cls,
        base_dict: dict[str, Any],
        track_mutations: bool = False,
        name: str | None = None,
    ) -> OptsDict:
        """
        Create a root OptsDict from a regular dictionary.

        Args:
            base_dict: Dictionary to wrap
            track_mutations: Enable mutation tracking (disabled by default to save memory)
            name: Optional name for debugging

        Returns:
            New root OptsDict instance
        """
        return cls(base_dict=base_dict, track_mutations=track_mutations, name=name)

    def _get_from_parent_chain(self, key: str) -> tuple[bool, Any]:
        """
        Walk up the parent chain to find a key.

        Returns:
            (found, value) tuple
        """
        current = self._parent
        while current is not None:
            # Check local dict first
            if key in current._local:
                return True, current._local[key]
            # Check base dict if this is a root node
            if current._parent is None and key in current._base:
                return True, current._base[key]
            current = current._parent

        return False, None

    def __getitem__(self, key: str) -> Any:
        """
        Get item with proxy-based copy-on-write for mutable values.

        When accessing mutable values from parent/base, we return a proxy object
        that triggers copy-on-write on first mutation. This provides isolation
        without copying until actually needed.
        """
        with self._ensure_lock():
            # Check local first - if already copied, return direct reference
            if key in self._local:
                value = self._local[key]
                # Check if this key was deleted (masked by sentinel)
                if value is _DELETED:
                    raise KeyError(key)
                return value

            # Check parent chain
            if self._parent is not None:
                found, value = self._get_from_parent_chain(key)
                if found:
                    # Check if this key was deleted in parent chain
                    if value is _DELETED:
                        raise KeyError(key)
                    # Wrap mutable values in proxies to catch mutations
                    if isinstance(value, dict) and not isinstance(value, OptsDict):
                        return DictProxy(value, self, key)
                    elif isinstance(value, list):
                        return ListProxy(value, self, key)
                    # Immutable values can be returned directly
                    return value

            # Check base (root level only)
            if self._parent is None and key in self._base:
                value = self._base[key]
                # Even root instances need proxies to track when values are mutated
                # This allows us to know when a key has been accessed/modified
                if isinstance(value, dict) and not isinstance(value, OptsDict):
                    return DictProxy(value, self, key)
                elif isinstance(value, list):
                    return ListProxy(value, self, key)
                return value

            raise KeyError(key)

    def __setitem__(self, key: str, value: Any):
        """
        Set item with copy-on-write semantics.

        On first write to a key:
        1. Record the mutation
        2. Copy only that key's value to local dict
        3. Store new value
        """
        with self._ensure_lock():
            # Get original value for tracking
            try:
                original_value = self[key]
                is_mutation = True
            except KeyError:
                original_value = None
                is_mutation = False

            # Check if this is the first mutation of this key
            if is_mutation and key not in self._local:
                # First mutation - record it
                self._tracker.record_mutation(key, original_value, value)
            elif key in self._local:
                # Subsequent mutation of already-local key
                self._tracker.record_mutation(key, original_value, value)

            # Store the value locally
            self._local[key] = value

    def _key_in_parent_or_base(self, key: str) -> bool:
        """Check if key exists in parent chain or base dict."""
        # Check parent chain
        if self._parent is not None:
            found, value = self._get_from_parent_chain(key)
            if found and value is not _DELETED:
                return True

        # Check base (root level only)
        if self._parent is None and key in self._base:
            return True

        return False

    def __delitem__(self, key: str):
        """
        Delete item by masking it with a sentinel.

        For keys in local dict: truly delete them.
        For keys in parent/base: mask them with _DELETED sentinel.
        This preserves copy-on-write semantics.
        """
        with self._ensure_lock():
            if key not in self:
                raise KeyError(key)

            if key in self._local:
                # Key is in local - check if it's already deleted
                if self._local[key] is _DELETED:
                    raise KeyError(key)
                # Truly delete if it's ONLY in local (not in parent/base)
                if not self._key_in_parent_or_base(key):
                    del self._local[key]
                else:
                    # Key is in both local and parent/base - mask it
                    self._local[key] = _DELETED
            else:
                # Key is in parent/base only - mask it
                self._local[key] = _DELETED

    def __iter__(self):
        """Iterate over all keys (local + parent chain + base), excluding deleted keys."""
        with self._ensure_lock():
            # Sync underlying dict for C-level iteration (e.g., JSON serialization)
            # This ensures json.dumps() works without needing to_dict()
            # Build items dict first to avoid leaving underlying dict in bad state
            # if an exception occurs during iteration
            items = {}
            for key in self._get_all_keys():
                try:
                    value = self[key]
                    # Skip deleted keys (will raise KeyError)
                    items[key] = value
                except KeyError:
                    # Key was deleted (sentinel), skip it
                    pass

            # Only update underlying dict after successfully building all items
            dict.clear(self)
            for key, value in items.items():
                dict.__setitem__(self, key, value)

            return dict.__iter__(self)

    def _get_all_keys(self):
        """Get all keys from local, parent chain, and base."""
        keys = set(self._local.keys())

        # Add parent chain keys
        if self._parent is not None:
            current = self._parent
            while current is not None:
                keys.update(current._local.keys())
                # Add base keys if this is a root node
                if current._parent is None:
                    keys.update(current._base.keys())
                current = current._parent
        else:
            # This is a root node, add base keys
            keys.update(self._base.keys())

        return keys

    def __len__(self) -> int:
        """Return total number of keys."""
        with self._ensure_lock():
            # Sync underlying dict for C-level access
            _ = iter(self)
            return dict.__len__(self)

    def __contains__(self, key: str) -> bool:
        """Check if key exists in local, parent chain, or base (excluding deleted keys)."""
        with self._ensure_lock():
            # Check if key is in local and not deleted
            if key in self._local:
                return self._local[key] is not _DELETED

            # Check parent chain
            if self._parent is not None:
                found, value = self._get_from_parent_chain(key)
                if found:
                    return value is not _DELETED

            # Check base (root level only)
            if self._parent is None and key in self._base:
                return True

            return False

    def get(self, key: str, default: Any = None) -> Any:
        """Get with default value."""
        try:
            return self[key]
        except KeyError:
            return default

    def setdefault(self, key: str, default: Any = None) -> Any:
        """
        Get value for key, setting it to default if not present.

        This is important for OptsDict because dict's setdefault uses C-level
        access which doesn't respect our copy-on-write storage. We need to
        check using __getitem__ and set using __setitem__ to properly trigger
        copy-on-write semantics.
        """
        try:
            return self[key]
        except KeyError:
            self[key] = default
            return default

    def pop(self, key: str, *args) -> Any:
        """
        Remove and return value for key.

        This is important for OptsDict because dict's pop uses C-level
        access which doesn't respect our copy-on-write storage.

        For copy-on-write semantics:
        - If key is only in local dict, delete it and return value
        - If key is in parent chain (and possibly also local), unwrap/read the
          value, then mask the key with ``_DELETED`` in ``_local`` so that
          subsequent lookups, iteration and ``in`` checks no longer see it.
          The parent data is never mutated.
        - If key doesn't exist, return default or raise KeyError

        Previously this method short-circuited and returned the value without
        masking, which broke the ``dict.pop`` contract (the key was still
        visible afterwards). Callers that use ``opts.pop("x")`` to both read
        and delete a key would then see it come back during later iteration;
        for example ``salt.cache.mysql_cache._init_client`` relies on pop()
        actually removing ``mysql.*`` entries so that a follow-up
        ``for k in opts: if k.startswith("mysql."):`` loop does not re-emit
        them as connection kwargs (``table_name``, ``fresh_connection``, ...)
        that ``MySQLdb.connect`` then rejects with
        ``TypeError: Connection.__init__() got an unexpected keyword
        argument 'table_name'``.
        """
        with self._ensure_lock():
            if key in self._local:
                value = self._local[key]
                if value is _DELETED:
                    if args:
                        return args[0]
                    raise KeyError(key)
                if self._key_in_parent_or_base(key):
                    # Key is shadowed from parent/base - mask it with the
                    # sentinel so subsequent iteration and ``in`` checks do
                    # not resurrect the parent's value.
                    self._local[key] = _DELETED
                else:
                    del self._local[key]
                return value
            elif self._key_in_parent_or_base(key):
                # Key lives only in parent/base. Read through the normal
                # accessor so mutable values are properly unwrapped, then
                # mark it deleted locally so later iteration/lookups skip
                # it. Parent data is never mutated.
                value = self[key]
                self._local[key] = _DELETED
                return value
            elif args:
                return args[0]
            else:
                raise KeyError(key)

    def keys(self):
        """Return all keys."""
        # Force iteration to sync underlying dict
        _ = iter(self)
        return dict.keys(self)

    def values(self):
        """Return all values."""
        # Force iteration to sync underlying dict
        _ = iter(self)
        return dict.values(self)

    def items(self):
        """Return all items."""
        # Force iteration to sync underlying dict
        _ = iter(self)
        return dict.items(self)

    def copy(self) -> dict[str, Any]:
        """Return a regular dict copy of all data, unwrapping all proxies."""
        with self._ensure_lock():
            result = {}
            for k, v in self.items():
                result[k] = self._unwrap_value(v)
            return result

    def _unwrap_value(self, value):
        """Recursively unwrap DictProxy/ListProxy objects to plain dicts/lists."""
        if isinstance(value, DictProxy):
            # Unwrap DictProxy - get the underlying target and preserve its type
            target = object.__getattribute__(value, "_target")
            # If target is also a DictProxy, we need to get the real underlying dict
            # This shouldn't happen in normal use, but handle it defensively
            while isinstance(target, DictProxy):
                target = object.__getattribute__(target, "_target")
            # Now preserve the type of the real underlying dict (could be OrderedDict, etc.)
            dict_type = (
                type(target) if not isinstance(target, (DictProxy, ListProxy)) else dict
            )
            return dict_type((k, self._unwrap_value(v)) for k, v in value.items())
        elif isinstance(value, ListProxy):
            # Unwrap ListProxy to plain list
            return [self._unwrap_value(item) for item in value]
        elif isinstance(value, dict) and not isinstance(value, OptsDict):
            # Regular dict (including OrderedDict, etc.) - preserve type and recursively unwrap values
            dict_type = type(value)
            return dict_type((k, self._unwrap_value(v)) for k, v in value.items())
        elif isinstance(value, (list, tuple)):
            # Regular list/tuple - recursively unwrap its items
            return type(value)(self._unwrap_value(item) for item in value)
        else:
            # Primitive value or OptsDict - return as-is
            return value

    def to_dict(self) -> dict[str, Any]:
        """Alias for copy() - return regular dict."""
        return self.copy()

    def update(self, other=None, /, **kwargs: Any):  # pylint: disable=arguments-differ
        """Update with another dict.

        Compatible with MutableMapping.update() signature.
        """
        with self._ensure_lock():
            if other:
                for key, value in other.items():
                    self[key] = value
            for key, value in kwargs.items():
                self[key] = value

    # OptsDict-specific methods

    def get_mutation_report(self, verbose: bool = False) -> dict[str, Any]:
        """
        Get report of all mutations across this OptsDict hierarchy.

        Args:
            verbose: Include full mutation history

        Returns:
            Dictionary with mutation statistics
        """
        return self._tracker.get_mutation_report(verbose=verbose)

    def get_local_keys(self) -> set[str]:
        """Return set of keys that have been mutated locally."""
        with self._ensure_lock():
            return set(self._local.keys())

    def get_shared_keys(self) -> set[str]:
        """Return set of keys that are shared from parent/base."""
        with self._ensure_lock():
            all_keys = set(self)
            local_keys = self.get_local_keys()
            return all_keys - local_keys

    def get_root(self) -> OptsDict:
        """
        Get the root OptsDict instance.

        Walks up the parent chain to find the root (the OptsDict with no parent).
        Useful when you need to set a value that should be visible to all children.

        Returns:
            The root OptsDict instance
        """
        root = self
        while root._parent is not None:
            root = root._parent
        return root

    def set_shared(self, key: str, value: Any):
        """
        Set a value on the root OptsDict so all children can see it.

        This is useful for setting shared configuration values (like grains, pillar)
        that need to be visible to all loaders/children, not just the current instance.

        Args:
            key: The configuration key to set
            value: The value to set

        Example:
            opts.set_shared("grains", grains_data)  # All children can now see grains
        """
        root = self.get_root()
        root[key] = value

    def get_memory_stats(self) -> dict[str, Any]:
        """
        Estimate memory usage statistics.

        Returns:
            Dict with local size, shared size, etc.
        """
        with self._ensure_lock():
            import sys

            local_size = sum(
                sys.getsizeof(k) + sys.getsizeof(v) for k, v in self._local.items()
            )

            return {
                "name": self._name,
                "local_keys_count": len(self._local),
                "shared_keys_count": len(self.get_shared_keys()),
                "total_keys_count": len(self),
                "local_size_bytes": local_size,
                "local_size_mb": local_size / (1024 * 1024),
            }

    def log_mutation_summary(self, logger: logging.Logger | None = None):
        """
        Log a summary of mutations for debugging.

        Args:
            logger: Logger to use (defaults to module logger)
        """
        logger = logger or log
        stats = self.get_memory_stats()

        logger.info(
            "OptsDict[%s] memory stats: %d local keys (%.2f MB), %d shared keys",
            self._name,
            stats["local_keys_count"],
            stats["local_size_mb"],
            stats["shared_keys_count"],
        )

        if self._tracker.track_mutations:
            report = self.get_mutation_report(verbose=False)
            if report:
                logger.info("OptsDict[%s] mutations:", self._name)
                for key, info in report.items():
                    logger.info(
                        "  - %s: %d mutations, first at %s",
                        key,
                        info["mutation_count"],
                        (
                            info["first_mutated_at"][-1]
                            if info["first_mutated_at"]
                            else "unknown"
                        ),
                    )

    def __deepcopy__(self, memo):
        """
        Support for copy.deepcopy().

        Uses copy-on-write by creating a child OptsDict instead of deep copying.
        This provides the same isolation semantics as deepcopy while being much
        more memory efficient. When the copied OptsDict is modified, only the
        modified keys are copied, not the entire dict.
        """
        # Use copy-on-write by creating a child OptsDict
        # This shares data with parent until mutations occur
        child = OptsDict.from_parent(self, name=f"{self._name}_deepcopy")
        # Sync underlying dict to support C-level iteration (e.g., JSON serialization)
        # This ensures json.dumps() works without needing to call __iter__() first
        list(child)  # Triggers __iter__() which syncs the underlying dict
        return child

    def __eq__(self, other):
        """
        Compare OptsDict instances based on logical contents.

        dict's built-in __eq__ compares the underlying dict storage directly
        using C-level iteration, which doesn't account for OptsDict's
        copy-on-write storage in _local, _parent, and _base. We need to
        compare the logical key-value pairs instead.
        """
        if not isinstance(other, dict):
            return NotImplemented

        # Get all keys from self
        with self._ensure_lock():
            self_keys = set(self._get_all_keys())

        # For regular dict, just use keys()
        if isinstance(other, OptsDict):
            with other._ensure_lock():
                other_keys = set(other._get_all_keys())
        else:
            other_keys = set(other.keys())

        # Quick check: if key sets differ, not equal
        if self_keys != other_keys:
            return False

        # Compare values for each key
        for key in self_keys:
            if self[key] != other[key]:
                return False

        return True

    def _sync_underlying_dict(self):
        """
        Sync the underlying dict storage with our custom storage.

        This is needed for JSON serialization and other operations that
        bypass our custom __iter__() and use C-level dict iteration.
        """
        with self._ensure_lock():
            # Clear and repopulate the underlying dict
            dict.clear(self)
            for key in self:
                dict.__setitem__(self, key, self[key])

    def __reduce_ex__(self, protocol):
        """
        Custom pickle support for dict subclass.

        When pickling, convert to regular dict and reconstruct via from_dict.
        This avoids issues with dict's unpickling mechanism calling __setitem__
        before __init__ has run.
        """
        # Convert to regular dict
        data = self.to_dict()
        name = getattr(self, "_name", None)
        # Return (callable, args) to reconstruct
        # We pass the name as the third positional arg which maps to name= in from_dict
        return (
            self.__class__.from_dict,
            (data, False, name),  # base_dict, track_mutations=False, name
        )

    def mutate_key(self, key, new_value):
        """
        Update a key in place to preserve cached references.

        This method replaces the pattern of:
            opts[key] = new_dict  # Creates NEW dict, breaks cached references

        With:
            new_dict = ...
            opts.mutate_key(key, new_dict)  # Mutates SAME dict, preserves references

        Why this matters:
        - Loaders cache references to opts["grains"], opts["pillar"], etc.
        - When we replace opts[key] = new_dict, cached refs become stale
        - By mutating in place (clear + update), we preserve object identity
        - Cached references continue to see updates

        Args:
            key: The key to update (e.g., "grains", "pillar")
            new_value: The new value to set

        Example:
            # Instead of:
            opts["grains"] = salt.loader.grains(opts)  # BREAKS cached refs

            # Use:
            new_grains = salt.loader.grains(opts)
            opts.mutate_key("grains", new_grains)  # PRESERVES cached refs
        """
        # Ensure new_value is not None
        if new_value is None:
            # If setting to None, just use regular assignment
            self[key] = new_value
            return

        # Check if key exists and both old and new values are dicts
        if key in self and isinstance(self[key], dict) and isinstance(new_value, dict):
            # Mutate in place to preserve object identity
            self[key].clear()
            self[key].update(new_value)
        else:
            # Initial creation or non-dict value - regular assignment is fine
            self[key] = new_value

    def __repr__(self) -> str:
        """String representation."""
        with self._ensure_lock():
            return (
                f"OptsDict(name={self._name!r}, "
                f"local_keys={len(self._local)}, "
                f"total_keys={len(self)})"
            )


def mutate_opts_key(opts, key, new_value):
    """
    Update an opts key in place to preserve cached references.

    .. deprecated:: 3008.0
        Prefer using the instance method: ``opts.mutate_key(key, value)``
        This function is maintained for backwards compatibility.

    This function replaces the pattern of:
        opts[key] = new_dict  # Creates NEW dict, breaks cached references

    With:
        new_dict = ...
        mutate_opts_key(opts, key, new_dict)  # Mutates SAME dict, preserves references

    Args:
        opts: The opts dict (can be OptsDict or regular dict)
        key: The key to update (e.g., "grains", "pillar")
        new_value: The new value to set

    Example:
        # Preferred (OptsDict instance method):
        opts.mutate_key("grains", new_grains)

        # Still supported (old):
        mutate_opts_key(opts, "grains", new_grains)
    """
    if isinstance(opts, OptsDict):
        # Use instance method
        return opts.mutate_key(key, new_value)

    # Fallback for regular dict (shouldn't happen with new config)
    if new_value is None:
        opts[key] = new_value
        return

    if key in opts and isinstance(opts[key], dict) and isinstance(new_value, dict):
        opts[key].clear()
        opts[key].update(new_value)
    else:
        opts[key] = new_value


def generate_global_mutation_report(include_locations: bool = True) -> str:
    """
    Generate a global report of all mutations across all OptsDict instances.

    This is useful for identifying patterns and unwinding opportunities.

    Args:
        include_locations: Include mutation location analysis

    Returns:
        Formatted report string
    """
    # Note: This would require tracking all OptsDict instances globally
    # For now, this is a placeholder for the concept
    # Could be implemented with a global registry

    report_lines = [
        "=" * 80,
        "OptsDict Global Mutation Report",
        "=" * 80,
        "",
        "This report shows all opts mutations across the Salt minion instance.",
        "Use this to identify unwinding opportunities and refactoring targets.",
        "",
    ]

    # TODO: Implement global tracking
    report_lines.append(
        "(Not implemented yet - call get_mutation_report() on individual instances)"
    )

    return "\n".join(report_lines)


# Global mapping from source dict id() to its OptsDict root
# Keyed by id(source_dict), value is the root OptsDict that wraps it
# Use WeakValueDictionary to allow garbage collection when no longer referenced
_dict_to_root = weakref.WeakValueDictionary()


# Convenience function for backward compatibility
def safe_opts_copy(opts: Any, name: str | None = None) -> OptsDict:
    """
    Create an OptsDict from opts (dict or existing OptsDict).

    This function provides a migration path from copy.deepcopy(opts).

    Args:
        opts: Existing opts (dict or OptsDict)
        name: Optional name for debugging

    Returns:
        OptsDict instance

    Example:
        # OLD:
        opts = copy.deepcopy(opts)

        # NEW:
        from salt.utils.optsdict import safe_opts_copy
        opts = safe_opts_copy(opts, name="loader:states")
    """
    global NamedLoaderContext
    if NamedLoaderContext is None:
        from salt.loader.context import NamedLoaderContext

    if isinstance(opts, NamedLoaderContext):
        opts = opts.value()

    if isinstance(opts, OptsDict):
        # Create child from current opts, not root
        # This ensures the child can see all values in the current opts,
        # including any values set in the current opts' _local dict
        return OptsDict.from_parent(opts, name=name)

    # Converting from regular dict
    # Check if we've already created a root for this specific dict object
    global _dict_to_root  # pylint: disable=global-variable-not-assigned
    opts_id = id(opts)
    if opts_id in _dict_to_root:
        # Reuse existing root - this ensures all OptsDict instances
        # from the same source dict share the same base and see mutations
        root = _dict_to_root[opts_id]
        return OptsDict.from_parent(root, name=name)

    # First time seeing this dict - create a new root that wraps it
    root = OptsDict.from_dict(opts, name=name or f"root@{opts_id}")
    _dict_to_root[opts_id] = root
    return root
