Coverage for src / lexigram / admin / tasks / bulk_operations.py: 0%
106 statements
« prev ^ index » next coverage.py v7.13.5, created at 2026-08-11 02:25 +0800
1"""Background tasks for lexigram-admin.
3Provides task definitions for long-running operations like
4bulk exports, imports, and scheduled maintenance.
6Integrates with lexigram-tasks for background job processing.
7"""
9from __future__ import annotations
11from dataclasses import dataclass, field
12from enum import StrEnum
13from typing import Any
15from lexigram.logging import get_logger
17logger = get_logger(__name__)
20class AdminTaskType(StrEnum):
21 """Types of admin background tasks."""
23 BULK_EXPORT = "admin.bulk_export"
24 BULK_IMPORT = "admin.bulk_import"
25 BULK_UPDATE = "admin.bulk_update"
26 BULK_DELETE = "admin.bulk_delete"
27 REPORT_GENERATION = "admin.report_generation"
28 DATA_CLEANUP = "admin.data_cleanup"
29 CACHE_WARM = "admin.cache_warm"
30 INDEX_REBUILD = "admin.index_rebuild"
33@dataclass
34class TaskProgress:
35 """Progress information for a task."""
37 total: int = 0
38 completed: int = 0
39 failed: int = 0
40 current_item: str | None = None
41 message: str = ""
43 @property
44 def percentage(self) -> int:
45 if self.total == 0:
46 return 0
47 return int((self.completed / self.total) * 100)
49 def to_dict(self) -> dict[str, Any]:
50 return {
51 "total": self.total,
52 "completed": self.completed,
53 "failed": self.failed,
54 "percentage": self.percentage,
55 "current_item": self.current_item,
56 "message": self.message,
57 }
60@dataclass
61class AdminTaskResult:
62 """Result of an admin task."""
64 success: bool
65 message: str = ""
66 data: dict[str, Any] = field(default_factory=dict)
67 errors: list[str] = field(default_factory=list)
68 warnings: list[str] = field(default_factory=list)
70 def to_dict(self) -> dict[str, Any]:
71 return {
72 "success": self.success,
73 "message": self.message,
74 "data": self.data,
75 "errors": self.errors,
76 "warnings": self.warnings,
77 }
80# ========== Bulk Export Task ==========
83async def bulk_export_task(
84 resource_type: str,
85 query: dict[str, Any],
86 file_format: str,
87 columns: list[str] | None = None,
88 notify_email: str | None = None,
89 user_id: str | None = None,
90 export_dir: str | None = None,
91) -> AdminTaskResult:
92 """Export resources in background.
94 Args:
95 resource_type: Type of resource to export
96 query: Query parameters for filtering
97 file_format: Export format (csv, json, xlsx)
98 columns: Columns to include (None = all)
99 notify_email: Email to notify when complete
100 user_id: ID of user who initiated export
101 export_dir: Directory to store export files (defaults to system temp)
103 Returns:
104 AdminTaskResult with export file path
105 """
106 from pathlib import Path
107 import tempfile
108 from uuid import uuid4
110 export_id = str(uuid4())
111 if export_dir:
112 export_dir_path = Path(export_dir)
113 else:
114 # Use system temp directory for security
115 temp_dir = Path(tempfile.gettempdir()) / "lexigram_exports"
116 temp_dir.mkdir(parents=True, exist_ok=True)
117 export_dir_path = temp_dir
119 export_dir_path.mkdir(parents=True, exist_ok=True)
121 try:
122 # Get data source (would be injected in real implementation)
123 # For now, return a placeholder result
124 logger.info(
125 "Starting export: resource=%s format=%s user=%s",
126 resource_type,
127 format,
128 user_id,
129 )
131 # Placeholder: actual implementation would:
132 # 1. Get data source from container
133 # 2. Build query from params
134 # 3. Stream rows to file
135 # 4. Send notification
137 export_path = export_dir_path / f"{export_id}.{format}"
139 # Write placeholder file
140 import aiofiles
142 async with aiofiles.open(export_path, "w") as f:
143 await f.write(f"Export of {resource_type}\n")
145 logger.info("Export completed: %s", export_path)
147 return AdminTaskResult(
148 success=True,
149 message="Export completed successfully",
150 data={
151 "export_id": export_id,
152 "file_path": str(export_path),
153 "format": format,
154 },
155 )
157 except (ValueError, ConnectionError, TimeoutError, OSError, KeyError) as e:
158 logger.exception("Export failed")
159 return AdminTaskResult(
160 success=False,
161 message=str(e),
162 errors=[str(e)],
163 )
166# ========== Bulk Import Task ==========
169async def bulk_import_task(
170 resource_type: str,
171 file_path: str,
172 file_format: str,
173 mapping: dict[str, str] | None = None,
174 on_duplicate: str = "skip",
175 user_id: str | None = None,
176) -> AdminTaskResult:
177 """Import resources from file in background.
179 Args:
180 resource_type: Type of resource to import
181 file_path: Path to import file
182 file_format: File format (csv, json, xlsx)
183 mapping: Column mapping (file_col -> model_field)
184 on_duplicate: How to handle duplicates (skip, update, error)
185 user_id: ID of user who initiated import
187 Returns:
188 AdminTaskResult with import statistics
189 """
190 from pathlib import Path
192 try:
193 logger.info(
194 "Starting import: resource=%s file=%s user=%s",
195 resource_type,
196 file_path,
197 user_id,
198 )
200 # Validate file exists
201 path = Path(file_path)
202 if not path.exists():
203 return AdminTaskResult(
204 success=False,
205 message=f"File not found: {file_path}",
206 errors=["File not found"],
207 )
209 # Placeholder: actual implementation would:
210 # 1. Parse file based on format
211 # 2. Validate and transform rows
212 # 3. Create/update records
213 # 4. Track progress
215 created = 0
216 updated = 0
217 skipped = 0
218 errors: list[str] = []
220 logger.info(
221 "Import completed: created=%d updated=%d skipped=%d",
222 created,
223 updated,
224 skipped,
225 )
227 return AdminTaskResult(
228 success=True,
229 message=f"Import completed: {created} created, {updated} updated, {skipped} skipped",
230 data={
231 "created": created,
232 "updated": updated,
233 "skipped": skipped,
234 "error_count": len(errors),
235 },
236 errors=errors,
237 )
239 except (ValueError, ConnectionError, TimeoutError, OSError, KeyError) as e:
240 return AdminTaskResult(
241 success=False,
242 message=str(e),
243 errors=[str(e)],
244 )
247# ========== Bulk Update Task ==========
250async def bulk_update_task(
251 resource_type: str,
252 resource_ids: list[Any],
253 data: dict[str, Any],
254 user_id: str | None = None,
255) -> AdminTaskResult:
256 """Bulk update resources in background.
258 Args:
259 resource_type: Type of resource
260 resource_ids: IDs to update
261 data: Data to apply to all records
262 user_id: ID of user who initiated
264 Returns:
265 AdminTaskResult with update statistics
266 """
267 try:
268 logger.info(
269 "Starting bulk update: resource=%s count=%d user=%s",
270 resource_type,
271 len(resource_ids),
272 user_id,
273 )
275 updated = 0
276 failed = 0
277 errors: list[str] = []
279 # Placeholder: actual implementation would update each record
281 return AdminTaskResult(
282 success=True,
283 message=f"Bulk update completed: {updated} updated, {failed} failed",
284 data={
285 "updated": updated,
286 "failed": failed,
287 },
288 errors=errors,
289 )
291 except (ValueError, ConnectionError, TimeoutError, OSError, KeyError) as e:
292 return AdminTaskResult(
293 success=False,
294 message=str(e),
295 errors=[str(e)],
296 )
299# ========== Bulk Delete Task ==========
302async def bulk_delete_task(
303 resource_type: str,
304 resource_ids: list[Any],
305 soft_delete: bool = True,
306 user_id: str | None = None,
307) -> AdminTaskResult:
308 """Bulk delete resources in background.
310 Args:
311 resource_type: Type of resource
312 resource_ids: IDs to delete
313 soft_delete: Whether to soft delete
314 user_id: ID of user who initiated
316 Returns:
317 AdminTaskResult with delete statistics
318 """
319 try:
320 logger.info(
321 "Starting bulk delete: resource=%s count=%d soft=%s user=%s",
322 resource_type,
323 len(resource_ids),
324 soft_delete,
325 user_id,
326 )
328 deleted = 0
329 failed = 0
331 # Placeholder: actual implementation would delete each record
333 return AdminTaskResult(
334 success=True,
335 message=f"Bulk delete completed: {deleted} deleted, {failed} failed",
336 data={
337 "deleted": deleted,
338 "failed": failed,
339 },
340 )
342 except (ValueError, ConnectionError, TimeoutError, OSError, KeyError) as e:
343 return AdminTaskResult(
344 success=False,
345 message=str(e),
346 errors=[str(e)],
347 )
350# ========== Scheduled Tasks ==========
353async def data_cleanup_task(
354 resource_type: str | None = None,
355 older_than_days: int = 90,
356) -> AdminTaskResult:
357 """Clean up old data (soft-deleted, expired, etc).
359 Can be scheduled to run periodically.
360 """
361 try:
362 logger.info(
363 "Starting data cleanup: resource=%s older_than=%d days",
364 resource_type or "all",
365 older_than_days,
366 )
368 cleaned = 0
370 return AdminTaskResult(
371 success=True,
372 message=f"Cleaned up {cleaned} records",
373 data={"cleaned": cleaned},
374 )
376 except (ValueError, ConnectionError, TimeoutError, OSError, KeyError) as e:
377 return AdminTaskResult(
378 success=False,
379 message=str(e),
380 errors=[str(e)],
381 )
384async def cache_warm_task(
385 resource_types: list[str] | None = None,
386) -> AdminTaskResult:
387 """Warm caches for frequently accessed resources.
389 Can be scheduled to run after deployments or periodically.
390 """
391 try:
392 logger.info("Starting cache warm: resources=%s", resource_types or "all")
394 warmed = 0
396 return AdminTaskResult(
397 success=True,
398 message=f"Warmed {warmed} cache entries",
399 data={"warmed": warmed},
400 )
402 except (ValueError, ConnectionError, TimeoutError, OSError, KeyError) as e:
403 return AdminTaskResult(
404 success=False,
405 message=str(e),
406 errors=[str(e)],
407 )