feat(14-02): add migration 0007 and ORM models for cloud analysis cache schema

- 0007_cloud_analysis_cache.py: new Alembic migration adding 4 Phase 14 tables
  - cloud_byte_cache_entries: durable MinIO cache with version_key uniqueness,
    pin_count/active_job_count guards, LRU eviction indexes
  - cloud_analysis_jobs: batch job rows (scope_kind, status, aggregate counters,
    provider_bytes_estimate, failure_behavior)
  - cloud_analysis_job_items: per-item idempotency rows (status vocabulary,
    controlled error fields, cache_entry_id, retry_count, version_key fingerprint)
  - user_analysis_settings: per-user preferences (progress_detail, failure_behavior,
    cloud_cache_limit_bytes)
  - Reversible downgrade drops Phase 14 objects only
- db/models.py: CloudByteCacheEntry, CloudAnalysisJob, CloudAnalysisJobItem,
  UserAnalysisSettings ORM models mirroring migration
This commit is contained in:
curo1305
2026-06-23 15:06:24 +02:00
parent 493d348ba6
commit fd76d06b3a
2 changed files with 588 additions and 0 deletions
+243
View File
@@ -457,6 +457,249 @@ class CloudFolderState(Base):
) )
class CloudByteCacheEntry(Base):
"""Durable per-item provider byte cache entry backed by MinIO.
Tracks retained cloud bytes for active open, preview, or analysis work.
size_bytes counts against quota.used_bytes while retained; decremented on eviction.
Eviction rules (D-14, D-16):
- Only entries with pin_count == 0 and active_job_count == 0 may be evicted.
- Eviction is per-user LRU ordered by last_accessed_at ascending.
- object_key is a UUID-based private MinIO key — never exposed in API responses (T-14-02).
Phase 14: cache lifecycle (create -> pin -> release -> evict) managed by
services/cloud_cache.py.
"""
__tablename__ = "cloud_byte_cache_entries"
id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), primary_key=True, default=uuid.uuid4
)
user_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True),
ForeignKey("users.id", ondelete="CASCADE"),
nullable=False,
)
connection_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True),
ForeignKey("cloud_connections.id", ondelete="CASCADE"),
nullable=False,
)
cloud_item_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True),
ForeignKey("cloud_items.id", ondelete="CASCADE"),
nullable=False,
)
# Snapshot of provider_item_id — for audit/debug without joins
provider_item_id: Mapped[str] = mapped_column(Text, nullable=False)
# Derived from version / etag / metadata fingerprint (content hash optional, post-hydration only)
version_key: Mapped[str] = mapped_column(Text, nullable=False)
# Private MinIO object key — UUID-based, never exposed in API responses
object_key: Mapped[str] = mapped_column(Text, nullable=False)
content_type: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# Actual byte count stored in MinIO — debited from quota.used_bytes
size_bytes: Mapped[int] = mapped_column(BigInteger, nullable=False)
# Optional content hash — computed ONLY after bytes already hydrated, never as a pre-download requirement
content_hash: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# pin_count > 0 = active preview/download lease; must not be evicted
pin_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
# active_job_count > 0 = Celery analysis task in flight; must not be evicted
active_job_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
last_accessed_at: Mapped[Optional[datetime]] = mapped_column(
TIMESTAMP(timezone=True), nullable=True
)
evicted_at: Mapped[Optional[datetime]] = mapped_column(
TIMESTAMP(timezone=True), nullable=True
)
created_at: Mapped[datetime] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, server_default=func.now()
)
updated_at: Mapped[datetime] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, server_default=func.now()
)
__table_args__ = (
UniqueConstraint(
"user_id",
"connection_id",
"cloud_item_id",
"version_key",
name="uq_cache_entry_user_connection_item_version",
),
Index("ix_cache_entries_user_evicted_accessed", "user_id", "evicted_at", "last_accessed_at"),
Index("ix_cache_entries_user_active", "user_id", "pin_count", "active_job_count", "last_accessed_at"),
)
class CloudAnalysisJob(Base):
"""User-visible analysis batch row.
Represents a single enqueue action for file, selection, folder, or connection scope.
Aggregate counters are updated by Celery workers as items are processed.
status: "queued" | "running" | "paused" | "completed" | "cancelled" | "failed"
scope_kind: "file" | "selection" | "folder" | "connection"
failure_behavior: "pause_batch" (default) | "continue_item" (D-11)
"""
__tablename__ = "cloud_analysis_jobs"
id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), primary_key=True, default=uuid.uuid4
)
user_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True),
ForeignKey("users.id", ondelete="CASCADE"),
nullable=False,
)
connection_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True),
ForeignKey("cloud_connections.id", ondelete="CASCADE"),
nullable=False,
)
scope_kind: Mapped[str] = mapped_column(String(16), nullable=False)
scope_ref: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
recursive: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
status: Mapped[str] = mapped_column(String(16), nullable=False, default="queued")
# Aggregate item counters
total_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
queued_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
downloading_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
extracting_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
classifying_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
indexed_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
already_current_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
skipped_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
cancelled_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
failed_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
unsupported_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
# Provider-reported byte total — for estimates only, never used for quota
provider_bytes_estimate: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
failure_behavior: Mapped[str] = mapped_column(String(16), nullable=False, default="pause_batch")
started_at: Mapped[Optional[datetime]] = mapped_column(TIMESTAMP(timezone=True), nullable=True)
finished_at: Mapped[Optional[datetime]] = mapped_column(TIMESTAMP(timezone=True), nullable=True)
created_at: Mapped[datetime] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, server_default=func.now()
)
updated_at: Mapped[datetime] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, server_default=func.now()
)
__table_args__ = (
Index("ix_analysis_jobs_user_id", "user_id"),
Index("ix_analysis_jobs_user_status", "user_id", "status"),
)
class CloudAnalysisJobItem(Base):
"""Per-item row for idempotent processing within a CloudAnalysisJob.
status vocabulary (PATTERNS.md):
queued | downloading | extracting | classifying | indexed |
already_current | cancelled | failed | unsupported | stale
error_code and error_message contain controlled strings only — never raw
provider exception text or stack traces.
cache_entry_id is null until bytes are hydrated. It links to the
CloudByteCacheEntry used during processing and is cleared when the cache
entry is evicted.
"""
__tablename__ = "cloud_analysis_job_items"
id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), primary_key=True, default=uuid.uuid4
)
job_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True),
ForeignKey("cloud_analysis_jobs.id", ondelete="CASCADE"),
nullable=False,
)
user_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True),
ForeignKey("users.id", ondelete="CASCADE"),
nullable=False,
)
connection_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True),
ForeignKey("cloud_connections.id", ondelete="CASCADE"),
nullable=False,
)
cloud_item_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True),
ForeignKey("cloud_items.id", ondelete="CASCADE"),
nullable=False,
)
provider_item_id: Mapped[str] = mapped_column(Text, nullable=False)
# version_key at enqueue time — re-resolved and compared during processing
version_key: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
# Metadata fingerprint: "provider_item_id:size:modified_at:content_type"
fingerprint: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
status: Mapped[str] = mapped_column(String(16), nullable=False, default="queued")
# Controlled error strings — never raw provider error text
error_code: Mapped[Optional[str]] = mapped_column(String(64), nullable=True)
error_message: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
cache_entry_id: Mapped[Optional[uuid.UUID]] = mapped_column(
UUID(as_uuid=True),
ForeignKey("cloud_byte_cache_entries.id", ondelete="SET NULL"),
nullable=True,
)
retry_count: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
started_at: Mapped[Optional[datetime]] = mapped_column(TIMESTAMP(timezone=True), nullable=True)
finished_at: Mapped[Optional[datetime]] = mapped_column(TIMESTAMP(timezone=True), nullable=True)
created_at: Mapped[datetime] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, server_default=func.now()
)
updated_at: Mapped[datetime] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, server_default=func.now()
)
__table_args__ = (
UniqueConstraint("job_id", "cloud_item_id", name="uq_job_items_job_cloud_item"),
Index("ix_job_items_user_item_version", "user_id", "cloud_item_id", "version_key"),
Index("ix_job_items_job_id", "job_id"),
)
class UserAnalysisSettings(Base):
"""Per-user analysis preferences — one row per user, created on demand.
Distinct from system_settings (AI provider config) and CloudFolderState.
This is the single settings authority for user analysis preferences.
progress_detail: "simple" (default) | "detailed"
analysis_failure_behavior: "pause_batch" (default) | "continue_item" (D-11)
cloud_cache_limit_bytes: user preference capped by tier/admin maximum in the service layer
"""
__tablename__ = "user_analysis_settings"
user_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True),
ForeignKey("users.id", ondelete="CASCADE"),
primary_key=True,
)
analysis_progress_detail: Mapped[str] = mapped_column(
String(16), nullable=False, default="simple"
)
analysis_failure_behavior: Mapped[str] = mapped_column(
String(16), nullable=False, default="pause_batch"
)
# Default: 512 MB
cloud_cache_limit_bytes: Mapped[int] = mapped_column(
BigInteger, nullable=False, default=512 * 1024 * 1024
)
created_at: Mapped[datetime] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, server_default=func.now()
)
updated_at: Mapped[datetime] = mapped_column(
TIMESTAMP(timezone=True), nullable=False, server_default=func.now()
)
class Group(Base): class Group(Base):
"""v2 stub — empty table, seeded for schema completeness (PROJECT.md D-02). """v2 stub — empty table, seeded for schema completeness (PROJECT.md D-02).
@@ -0,0 +1,345 @@
"""Add cloud_byte_cache_entries, cloud_analysis_jobs, cloud_analysis_job_items, and user analysis settings.
Revision ID: 0007
Revises: 0006
Create Date: 2026-06-23
Changes:
1. cloud_byte_cache_entries: durable per-item provider byte cache backed by MinIO.
Tracks version key, object key, content type, size, pin count, active job count,
and LRU access timestamps. Entries are owner-scoped (user_id + connection_id +
cloud_item_id + version_key). quota.used_bytes is incremented on retain and
decremented on eviction via the atomic UPDATE pattern.
2. cloud_analysis_jobs: user-visible analysis batch rows for file, selection, folder,
or connection scope. Aggregate counts (total, queued, downloading, extracting,
classifying, indexed, already_current, skipped, cancelled, failed, unsupported) and
provider bytes estimate are updated as workers process items.
3. cloud_analysis_job_items: per-item rows that drive idempotent processing.
Status, error code, cache entry linkage, and retry counter. Unique constraint on
(job_id, cloud_item_id) prevents duplicate item rows per job.
4. user_analysis_settings: one row per user with analysis preferences.
progress_detail, failure_behavior, and cloud_cache_limit_bytes. Does NOT create
a second settings authority — this is user-scoped, separate from system_settings.
Design notes:
- Ownership boundary: every row has user_id. Eviction and status queries are always
scoped by user_id before any other predicate.
- version_key uniqueness: (user_id, connection_id, cloud_item_id, version_key) is
the idempotency key for cache entries.
- Downgrade drops only Phase 14 objects in reverse-creation order.
- D-18 compliance: cloud provider byte sizes flow only to cache entries and quota
accounting, never to quotas.used_bytes via cloud_items.provider_size.
"""
from __future__ import annotations
import sqlalchemy as sa
from sqlalchemy.dialects.postgresql import UUID as PG_UUID
from alembic import op
# revision identifiers, used by Alembic.
revision = "0007"
down_revision = "0006"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ── 1. cloud_byte_cache_entries ────────────────────────────────────────────
op.create_table(
"cloud_byte_cache_entries",
sa.Column(
"id",
PG_UUID(as_uuid=True),
primary_key=True,
server_default=sa.text("gen_random_uuid()"),
),
sa.Column(
"user_id",
PG_UUID(as_uuid=True),
sa.ForeignKey("users.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column(
"connection_id",
PG_UUID(as_uuid=True),
sa.ForeignKey("cloud_connections.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column(
"cloud_item_id",
PG_UUID(as_uuid=True),
sa.ForeignKey("cloud_items.id", ondelete="CASCADE"),
nullable=False,
),
# Snapshot of the provider item id — for audit/debug without joins
sa.Column("provider_item_id", sa.Text, nullable=False),
# Derived from etag / version / metadata fingerprint / content hash (in precedence order)
sa.Column("version_key", sa.Text, nullable=False),
# Private MinIO object key (UUID-based) — never exposed in API responses
sa.Column("object_key", sa.Text, nullable=False),
sa.Column("content_type", sa.Text, nullable=True),
# Actual byte count stored in MinIO — flows to quota.used_bytes while retained
sa.Column("size_bytes", sa.BigInteger, nullable=False),
# Optional content hash computed ONLY after bytes are already hydrated
sa.Column("content_hash", sa.Text, nullable=True),
# pin_count > 0 means a preview or download lease is active — must not be evicted
sa.Column("pin_count", sa.Integer, nullable=False, server_default="0"),
# active_job_count > 0 means a Celery analysis task is using these bytes
sa.Column("active_job_count", sa.Integer, nullable=False, server_default="0"),
# LRU eviction timestamps
sa.Column("last_accessed_at", sa.TIMESTAMP(timezone=True), nullable=True),
sa.Column("evicted_at", sa.TIMESTAMP(timezone=True), nullable=True),
sa.Column(
"created_at",
sa.TIMESTAMP(timezone=True),
nullable=False,
server_default=sa.text("now()"),
),
sa.Column(
"updated_at",
sa.TIMESTAMP(timezone=True),
nullable=False,
server_default=sa.text("now()"),
),
# Idempotency key: same item + same version must reuse the same cache entry
sa.UniqueConstraint(
"user_id",
"connection_id",
"cloud_item_id",
"version_key",
name="uq_cache_entry_user_connection_item_version",
),
)
# LRU eviction scan: scan only non-evicted entries for a user ordered by last_accessed_at
op.create_index(
"ix_cache_entries_user_evicted_accessed",
"cloud_byte_cache_entries",
["user_id", "evicted_at", "last_accessed_at"],
)
# Eviction guard: quick check for active pins / jobs before eviction candidate selection
op.create_index(
"ix_cache_entries_user_active",
"cloud_byte_cache_entries",
["user_id", "pin_count", "active_job_count", "last_accessed_at"],
)
# ── 2. cloud_analysis_jobs ─────────────────────────────────────────────────
op.create_table(
"cloud_analysis_jobs",
sa.Column(
"id",
PG_UUID(as_uuid=True),
primary_key=True,
server_default=sa.text("gen_random_uuid()"),
),
sa.Column(
"user_id",
PG_UUID(as_uuid=True),
sa.ForeignKey("users.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column(
"connection_id",
PG_UUID(as_uuid=True),
sa.ForeignKey("cloud_connections.id", ondelete="CASCADE"),
nullable=False,
),
# "file" | "selection" | "folder" | "connection"
sa.Column("scope_kind", sa.String(16), nullable=False),
# Provider item id of the root scope (null for connection-wide scope)
sa.Column("scope_ref", sa.Text, nullable=True),
sa.Column("recursive", sa.Boolean, nullable=False, server_default="false"),
# "queued" | "running" | "paused" | "completed" | "cancelled" | "failed"
sa.Column("status", sa.String(16), nullable=False, server_default="queued"),
# Aggregate item counters — kept in sync by Celery workers
sa.Column("total_count", sa.Integer, nullable=False, server_default="0"),
sa.Column("queued_count", sa.Integer, nullable=False, server_default="0"),
sa.Column("downloading_count", sa.Integer, nullable=False, server_default="0"),
sa.Column("extracting_count", sa.Integer, nullable=False, server_default="0"),
sa.Column("classifying_count", sa.Integer, nullable=False, server_default="0"),
sa.Column("indexed_count", sa.Integer, nullable=False, server_default="0"),
sa.Column("already_current_count", sa.Integer, nullable=False, server_default="0"),
sa.Column("skipped_count", sa.Integer, nullable=False, server_default="0"),
sa.Column("cancelled_count", sa.Integer, nullable=False, server_default="0"),
sa.Column("failed_count", sa.Integer, nullable=False, server_default="0"),
sa.Column("unsupported_count", sa.Integer, nullable=False, server_default="0"),
# Provider-reported byte estimate (never used for quota)
sa.Column("provider_bytes_estimate", sa.BigInteger, nullable=False, server_default="0"),
# "pause_batch" | "continue_item" (default is pause_batch per D-11)
sa.Column("failure_behavior", sa.String(16), nullable=False, server_default="pause_batch"),
sa.Column("started_at", sa.TIMESTAMP(timezone=True), nullable=True),
sa.Column("finished_at", sa.TIMESTAMP(timezone=True), nullable=True),
sa.Column(
"created_at",
sa.TIMESTAMP(timezone=True),
nullable=False,
server_default=sa.text("now()"),
),
sa.Column(
"updated_at",
sa.TIMESTAMP(timezone=True),
nullable=False,
server_default=sa.text("now()"),
),
)
op.create_index("ix_analysis_jobs_user_id", "cloud_analysis_jobs", ["user_id"])
op.create_index(
"ix_analysis_jobs_user_status",
"cloud_analysis_jobs",
["user_id", "status"],
)
# ── 3. cloud_analysis_job_items ────────────────────────────────────────────
op.create_table(
"cloud_analysis_job_items",
sa.Column(
"id",
PG_UUID(as_uuid=True),
primary_key=True,
server_default=sa.text("gen_random_uuid()"),
),
sa.Column(
"job_id",
PG_UUID(as_uuid=True),
sa.ForeignKey("cloud_analysis_jobs.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column(
"user_id",
PG_UUID(as_uuid=True),
sa.ForeignKey("users.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column(
"connection_id",
PG_UUID(as_uuid=True),
sa.ForeignKey("cloud_connections.id", ondelete="CASCADE"),
nullable=False,
),
sa.Column(
"cloud_item_id",
PG_UUID(as_uuid=True),
sa.ForeignKey("cloud_items.id", ondelete="CASCADE"),
nullable=False,
),
# Snapshot for idempotency and debug — avoids joins in hot paths
sa.Column("provider_item_id", sa.Text, nullable=False),
# version_key at enqueue time — compared to re-resolved key at processing time
sa.Column("version_key", sa.Text, nullable=True),
# Metadata fingerprint at enqueue time — "item_id:size:modified_at:content_type"
sa.Column("fingerprint", sa.Text, nullable=True),
# "queued" | "downloading" | "extracting" | "classifying" | "indexed"
# | "already_current" | "cancelled" | "failed" | "unsupported" | "stale"
sa.Column("status", sa.String(16), nullable=False, server_default="queued"),
# Controlled error strings only — never raw provider/exception text
sa.Column("error_code", sa.String(64), nullable=True),
sa.Column("error_message", sa.Text, nullable=True),
# Link to the cache entry used during processing (null until bytes hydrated)
sa.Column(
"cache_entry_id",
PG_UUID(as_uuid=True),
sa.ForeignKey("cloud_byte_cache_entries.id", ondelete="SET NULL"),
nullable=True,
),
sa.Column("retry_count", sa.Integer, nullable=False, server_default="0"),
sa.Column("started_at", sa.TIMESTAMP(timezone=True), nullable=True),
sa.Column("finished_at", sa.TIMESTAMP(timezone=True), nullable=True),
sa.Column(
"created_at",
sa.TIMESTAMP(timezone=True),
nullable=False,
server_default=sa.text("now()"),
),
sa.Column(
"updated_at",
sa.TIMESTAMP(timezone=True),
nullable=False,
server_default=sa.text("now()"),
),
# Each item appears once per job
sa.UniqueConstraint(
"job_id",
"cloud_item_id",
name="uq_job_items_job_cloud_item",
),
)
# Duplicate-current check: fast lookup by (user_id, cloud_item_id, version_key)
# across all jobs to detect already-current items without byte download
op.create_index(
"ix_job_items_user_item_version",
"cloud_analysis_job_items",
["user_id", "cloud_item_id", "version_key"],
)
op.create_index("ix_job_items_job_id", "cloud_analysis_job_items", ["job_id"])
# ── 4. user_analysis_settings ──────────────────────────────────────────────
op.create_table(
"user_analysis_settings",
sa.Column(
"user_id",
PG_UUID(as_uuid=True),
sa.ForeignKey("users.id", ondelete="CASCADE"),
primary_key=True,
),
# "simple" (default) | "detailed"
sa.Column(
"analysis_progress_detail",
sa.String(16),
nullable=False,
server_default="simple",
),
# "pause_batch" (default) | "continue_item"
sa.Column(
"analysis_failure_behavior",
sa.String(16),
nullable=False,
server_default="pause_batch",
),
# User-preferred cache byte limit (capped by tier/admin maximum in service layer)
# Default: 512 MB
sa.Column(
"cloud_cache_limit_bytes",
sa.BigInteger,
nullable=False,
server_default=str(512 * 1024 * 1024),
),
sa.Column(
"created_at",
sa.TIMESTAMP(timezone=True),
nullable=False,
server_default=sa.text("now()"),
),
sa.Column(
"updated_at",
sa.TIMESTAMP(timezone=True),
nullable=False,
server_default=sa.text("now()"),
),
)
def downgrade() -> None:
# Drop in reverse-creation order. Phase 14 objects only — no Phase 12/13 changes.
op.drop_table("user_analysis_settings")
op.drop_index("ix_job_items_job_id", table_name="cloud_analysis_job_items")
op.drop_index("ix_job_items_user_item_version", table_name="cloud_analysis_job_items")
op.drop_table("cloud_analysis_job_items")
op.drop_index("ix_analysis_jobs_user_status", table_name="cloud_analysis_jobs")
op.drop_index("ix_analysis_jobs_user_id", table_name="cloud_analysis_jobs")
op.drop_table("cloud_analysis_jobs")
op.drop_index("ix_cache_entries_user_active", table_name="cloud_byte_cache_entries")
op.drop_index("ix_cache_entries_user_evicted_accessed", table_name="cloud_byte_cache_entries")
op.drop_table("cloud_byte_cache_entries")