File size: 4,978 Bytes
21ff762
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
"""
backup_retention.py -- Policy-aware snapshot retention planning.

Pure-function module: given a list of :class:`SnapshotInfo` and a
:class:`BackupRetention` policy, return the snapshots that should be
kept and the snapshots that should be deleted. No filesystem writes
happen here — the caller decides whether to act on the plan.

Policy semantics
----------------

``keep_latest = N``
    Always keep the ``N`` most-recent snapshots (by ``created_at``).

``keep_daily = M``
    For each of the ``M`` most-recent calendar days (UTC) that have
    at least one snapshot, keep the newest snapshot from that day.

The protected set is the **union** of the two rules. A snapshot only
gets pruned when it is in neither set. When both rules are zero, every
snapshot is prunable — that is the opt-in "keep nothing" setting.

Snapshots with ``created_at <= 0`` (malformed manifest / missing
timestamp) are always protected. We refuse to delete something we
can't confidently place in time.
"""

from __future__ import annotations

import time
from dataclasses import dataclass
from datetime import datetime, timezone
from typing import Sequence

from backup_config import BackupRetention


@dataclass(frozen=True)
class RetentionPlan:
    """Result of planning a prune pass against a retention policy."""

    keep: tuple[str, ...]       # snapshot_ids preserved
    delete: tuple[str, ...]     # snapshot_ids to prune
    protected_by_latest: tuple[str, ...]  # subset of keep, by keep_latest rule
    protected_by_daily: tuple[str, ...]   # subset of keep, by keep_daily rule

    def to_dict(self) -> dict:
        return {
            "keep": list(self.keep),
            "delete": list(self.delete),
            "protected_by_latest": list(self.protected_by_latest),
            "protected_by_daily": list(self.protected_by_daily),
        }


def _utc_date(epoch: float) -> str:
    """YYYY-MM-DD string for a Unix timestamp, UTC."""
    return datetime.fromtimestamp(epoch, tz=timezone.utc).strftime("%Y-%m-%d")


def plan_prune(
    snapshots: Sequence,  # Sequence[SnapshotInfo]
    retention: BackupRetention,
    *,
    now: float | None = None,
) -> RetentionPlan:
    """Decide which snapshots survive a retention sweep.

    Parameters
    ----------
    snapshots
        Iterable of objects with ``snapshot_id: str`` and
        ``created_at: float`` attributes. Order does not matter.
    retention
        Policy to apply.
    now
        UTC timestamp treated as "right now" for the keep_daily window.
        Defaults to :func:`time.time`. Tests pin this for determinism.

    Returns
    -------
    RetentionPlan
        Structured report of which snapshot IDs should be kept and
        which can be deleted. Never raises on empty input.
    """
    if retention.keep_latest < 0 or retention.keep_daily < 0:
        raise ValueError("retention.keep_latest and keep_daily must be >= 0")

    now_ts = now if now is not None else time.time()
    items = list(snapshots)

    # Stable newest-first ordering; ties broken by snapshot_id so the
    # plan is deterministic even when two snapshots share a timestamp.
    items.sort(key=lambda s: (-float(s.created_at), s.snapshot_id))

    # Any snapshot missing a usable timestamp is preserved untouched.
    # Rationale: we never want to silently delete something we can't
    # place in time — that's how operators lose forensic evidence.
    undated_ids = [s.snapshot_id for s in items if float(s.created_at) <= 0]
    dated = [s for s in items if float(s.created_at) > 0]

    # Rule 1 — keep_latest.
    latest_ids = [s.snapshot_id for s in dated[: retention.keep_latest]]

    # Rule 2 — keep_daily: newest snapshot per UTC day, for the most
    # recent M days that actually contain snapshots.
    daily_ids: list[str] = []
    if retention.keep_daily > 0:
        today = _utc_date(now_ts)
        seen_days: dict[str, str] = {}  # day → snapshot_id of the day's newest
        for s in dated:  # already newest-first
            day = _utc_date(float(s.created_at))
            # Don't protect future-dated snapshots under "past M days".
            if day > today:
                continue
            if day not in seen_days:
                seen_days[day] = s.snapshot_id
        # Take the M most-recent days that actually appeared.
        recent_days = sorted(seen_days.keys(), reverse=True)[: retention.keep_daily]
        daily_ids = [seen_days[d] for d in recent_days]

    protected = set(latest_ids) | set(daily_ids) | set(undated_ids)

    keep: list[str] = []
    delete: list[str] = []
    # Preserve newest-first ordering in both output tuples.
    for s in items:
        if s.snapshot_id in protected:
            keep.append(s.snapshot_id)
        else:
            delete.append(s.snapshot_id)

    return RetentionPlan(
        keep=tuple(keep),
        delete=tuple(delete),
        protected_by_latest=tuple(latest_ids),
        protected_by_daily=tuple(daily_ids),
    )