Add --retry-failed mode and mosaic retry estimates to progress report
Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
+47
-1
@@ -84,6 +84,33 @@ def parse_args() -> argparse.Namespace:
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"inventorying all scans across all machines."
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),
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)
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p.add_argument(
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"--retry-failed",
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action="store_true",
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help=(
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"Mosaic-only: re-attempt scans whose latest scans.csv row has "
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"mosaic_download_status=failed (queue from CSV, not the server list). "
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"Implies --mosaic-only."
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),
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)
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p.add_argument(
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"--retry-since",
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metavar="YEAR",
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default=None,
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help=(
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"With --retry-failed: only scans with scan_time year >= YEAR "
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"(e.g. 2023)."
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),
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)
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p.add_argument(
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"--retry-error-code",
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metavar="CODE",
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default=None,
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help=(
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"With --retry-failed: filter by mosaic_error_code "
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"(e.g. 200 for empty-body failures)."
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),
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)
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p.add_argument(
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"--dry-run",
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action="store_true",
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@@ -159,6 +186,16 @@ def main() -> None:
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if args.scan_id is not None and args.scan_id <= 0:
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sys.exit("--scan-id must be a positive integer")
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if args.retry_since and not args.retry_failed:
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sys.exit("--retry-since requires --retry-failed.")
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if args.retry_error_code and not args.retry_failed:
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sys.exit("--retry-error-code requires --retry-failed.")
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if args.retry_failed:
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if args.metadata_only:
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sys.exit("--retry-failed cannot be used with --metadata-only.")
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args.mosaic_only = True # implied
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# --list-machines doesn't need credentials
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if args.list_machines:
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base_url = "http://205.149.147.131:8010/"
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@@ -261,7 +298,13 @@ def main() -> None:
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if args.metadata_only:
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log.info("Mode: metadata only (mosaics and tiles skipped)")
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elif args.mosaic_only:
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log.info("Mode: mosaics only (individual tiles skipped)")
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if args.retry_failed:
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log.info(
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"Mode: mosaic retry (failed scans from %s)",
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SCANS_CSV_FILENAME,
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)
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else:
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log.info("Mode: mosaics only (individual tiles skipped)")
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if args.dry_run:
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log.info("Mode: dry-run (no files will be written)")
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@@ -285,6 +328,9 @@ def main() -> None:
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metadata_only=args.metadata_only,
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scan_id_filter=args.scan_id,
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max_tiles=args.max_tiles,
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retry_failed=args.retry_failed,
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retry_since_year=args.retry_since,
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retry_error_code=args.retry_error_code,
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)
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totals.merge(stats)
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finally:
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+114
-22
@@ -2,14 +2,22 @@
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High-level scrape orchestration: drives the per-machine and per-scan loops.
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"""
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import csv
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import json
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import logging
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import time
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Any
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from tqdm import tqdm
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from spruce.download_result import PERMANENT_MISSING, UNKNOWN, error_code_str
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from spruce.exif import write_mosaic_exif
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from spruce.paths import machine_dir_name, tile_dest, mosaic_dest, _extract_date
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from spruce.progress import ProgressTracker, CsvWriter
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from spruce.session import MachineSession
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# RootView returns ~43-byte 1×1 JPEG placeholders for empty cells; stay well
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# below smallest observed real tile (~7 KiB in production samples).
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@@ -49,16 +57,64 @@ class RunStats:
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self.scans_probe_skipped += other.scans_probe_skipped
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self.scans_disk_space_skipped += other.scans_disk_space_skipped
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from tqdm import tqdm
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from spruce.exif import write_mosaic_exif
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from spruce.paths import machine_dir_name, tile_dest, mosaic_dest, _extract_date
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from spruce.progress import ProgressTracker, CsvWriter
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from spruce.session import MachineSession
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log = logging.getLogger(__name__)
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def _read_scans_csv_latest(scans_csv_path: Path) -> dict[tuple[str, str], dict[str, str]]:
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"""Last row wins per (machine, scan_id)."""
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latest: dict[tuple[str, str], dict[str, str]] = {}
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if not scans_csv_path.exists():
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return latest
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with open(scans_csv_path, newline="", encoding="utf-8") as fh:
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for row in csv.DictReader(fh):
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key = (row.get("machine", ""), row.get("scan_id", ""))
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latest[key] = row
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return latest
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def load_failed_scans_from_csv(
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scans_csv_path: Path,
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machine_label: str,
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*,
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since_year: str | None = None,
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error_code: str | None = None,
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) -> list[dict[str, Any]]:
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"""
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Dedupe scans.csv by (machine, scan_id); return failed mosaic rows for one machine.
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Each dict is suitable as the ``scan`` argument to ``process_scan`` (scan_id,
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scan_time, name, status).
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"""
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latest = _read_scans_csv_latest(scans_csv_path)
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out: list[dict[str, Any]] = []
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for (_m, _sid), row in latest.items():
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if row.get("machine") != machine_label:
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continue
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if row.get("mosaic_download_status") != "failed":
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continue
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if error_code is not None and row.get("mosaic_error_code", "") != error_code:
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continue
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st = row.get("scan_time", "") or ""
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if since_year is not None:
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yr = st[:4]
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if len(yr) < 4 or yr < since_year:
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continue
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sid = int(row["scan_id"])
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out.append(
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{
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"scan_id": sid,
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"scan_time": st,
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"name": row.get("name", ""),
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"status": row.get("status", "") or "Completed",
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"user": row.get("user", ""),
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"scan_lines": row.get("scan_lines", ""),
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"scan_mode": row.get("scan_mode", ""),
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}
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)
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out.sort(key=lambda s: s["scan_id"])
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return out
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# ---------------------------------------------------------------------------
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# Per-scan helpers
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# ---------------------------------------------------------------------------
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@@ -499,6 +555,9 @@ def scrape_machine(
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metadata_only: bool = False,
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scan_id_filter: int | None = None,
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max_tiles: int | None = None,
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retry_failed: bool = False,
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retry_since_year: str | None = None,
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retry_error_code: str | None = None,
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) -> RunStats:
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"""Login, fetch scans, and download all content for one machine."""
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sess = MachineSession(machine, config)
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@@ -518,8 +577,37 @@ def scrape_machine(
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log.error("[%s] Login failed after 3 attempts — skipping machine.", machine["label"])
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return RunStats()
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if scan_id_filter is not None:
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scans: list[dict[str, Any]] = [
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if retry_failed:
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scans = load_failed_scans_from_csv(
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scans_csv.path,
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machine["label"],
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since_year=retry_since_year,
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error_code=retry_error_code,
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)
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if scan_id_filter is not None:
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scans = [s for s in scans if s["scan_id"] == scan_id_filter]
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if not scans:
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log.warning(
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"[%s] Retry: scan_id %d not among failed rows for this machine.",
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machine["label"],
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scan_id_filter,
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)
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return RunStats()
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log.info("[%s] Mosaic retry: single scan %d.", machine["label"], scan_id_filter)
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elif not scans:
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log.warning(
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"[%s] No failed mosaic rows in scans.csv match retry filters.",
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machine["label"],
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)
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return RunStats()
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else:
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log.info(
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"[%s] Mosaic retry: %d failed scan(s) from scans.csv.",
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machine["label"],
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len(scans),
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)
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elif scan_id_filter is not None:
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scans = [
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{"scan_id": scan_id_filter, "status": "Completed"}
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]
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log.info("[%s] Targeting scan ID %d.", machine["label"], scan_id_filter)
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@@ -529,21 +617,25 @@ def scrape_machine(
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log.warning("[%s] No scans found.", machine["label"])
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return RunStats()
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# Build a set of scan_ids already fully processed in a prior run so we can
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# skip them entirely (no metadata fetch, no mosaic request).
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# Only scans with a definitive non-pending status count; skipped_metadata_only
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# rows still need to be processed in mosaic mode.
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# Build existing_ids: scan_ids to skip entirely (no metadata fetch, no HTTP).
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# In normal mode: skip anything with a definitive non-pending status.
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# In retry mode: only skip scans that are already downloaded or skipped for
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# disk-space reasons — failed scans must be re-attempted.
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PENDING_STATUSES = {"skipped_metadata_only", ""}
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BLOCK_AFTER_RETRY_STATUSES = {"downloaded", "skipped_zero_disk_space"}
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existing_ids: set[int] = set()
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if not metadata_only and scans_csv._fh.name:
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existing_path = Path(scans_csv._fh.name)
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if existing_path.exists():
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import csv as _csv
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with open(existing_path, newline="", encoding="utf-8") as _f:
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for _row in _csv.DictReader(_f):
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if _row.get("machine") == machine["label"]:
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if _row.get("mosaic_download_status", "") not in PENDING_STATUSES:
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existing_ids.add(int(_row["scan_id"]))
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if not metadata_only:
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latest_rows = _read_scans_csv_latest(scans_csv.path)
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for (_mlabel, _sid), _row in latest_rows.items():
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if _mlabel != machine["label"]:
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continue
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st = _row.get("mosaic_download_status", "")
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if retry_failed:
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if st in BLOCK_AFTER_RETRY_STATUSES:
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existing_ids.add(int(_row["scan_id"]))
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else:
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if st not in PENDING_STATUSES:
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existing_ids.add(int(_row["scan_id"]))
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stats = RunStats()
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for scan in scans:
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@@ -77,6 +77,7 @@ class CsvWriter:
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def __init__(self, path: Path, fields: list[str]) -> None:
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is_new = not path.exists()
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path.parent.mkdir(parents=True, exist_ok=True)
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self.path = path
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self._fh = open(path, "a", newline="", encoding="utf-8")
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self._writer = csv.DictWriter(self._fh, fieldnames=fields)
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if is_new:
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