256 lines
9.7 KiB
Python
256 lines
9.7 KiB
Python
from __future__ import annotations
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from typing import Any, Dict, Sequence, Optional
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import json
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import sys
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from SYS.logger import log
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from pathlib import Path
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from ._shared import Cmdlet, CmdletArg, SharedArgs, parse_cmdlet_args, get_field
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import pipeline as ctx
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from result_table import ResultTable
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class Get_Metadata(Cmdlet):
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"""Class-based get-metadata cmdlet with self-registration."""
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def __init__(self) -> None:
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"""Initialize get-metadata cmdlet."""
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super().__init__(
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name="get-metadata",
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summary="Print metadata for files by hash and storage backend.",
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usage="get-metadata [-hash <sha256>] [-store <backend>]",
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alias=["meta"],
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arg=[
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SharedArgs.HASH,
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SharedArgs.STORE,
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],
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detail=[
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"- Retrieves metadata from storage backend using file hash as identifier.",
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"- Shows hash, MIME type, size, duration/pages, known url, and import timestamp.",
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"- Hash and store are taken from piped result or can be overridden with -hash/-store flags.",
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"- All metadata is retrieved from the storage backend's database (single source of truth).",
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],
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exec=self.run,
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)
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self.register()
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@staticmethod
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def _extract_imported_ts(meta: Dict[str, Any]) -> Optional[int]:
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"""Extract an imported timestamp from metadata if available."""
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if not isinstance(meta, dict):
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return None
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# Prefer explicit time_imported if present
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explicit = meta.get("time_imported")
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if isinstance(explicit, (int, float)):
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return int(explicit)
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# Try parsing string timestamps
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if isinstance(explicit, str):
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try:
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import datetime as _dt
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return int(_dt.datetime.fromisoformat(explicit).timestamp())
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except Exception:
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pass
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return None
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@staticmethod
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def _format_imported(ts: Optional[int]) -> str:
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"""Format timestamp as readable string."""
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if not ts:
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return ""
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try:
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import datetime as _dt
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return _dt.datetime.utcfromtimestamp(ts).strftime("%Y-%m-%d %H:%M:%S")
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except Exception:
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return ""
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@staticmethod
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def _build_table_row(title: str, store: str, path: str, mime: str, size_bytes: Optional[int],
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dur_seconds: Optional[int], imported_ts: Optional[int], url: list[str],
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hash_value: Optional[str], pages: Optional[int] = None) -> Dict[str, Any]:
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"""Build a table row dict with metadata fields."""
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size_mb = None
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if isinstance(size_bytes, int):
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try:
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size_mb = int(size_bytes / (1024 * 1024))
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except Exception:
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size_mb = None
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dur_int = int(dur_seconds) if isinstance(dur_seconds, (int, float)) else None
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pages_int = int(pages) if isinstance(pages, (int, float)) else None
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imported_label = Get_Metadata._format_imported(imported_ts)
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duration_label = "Duration(s)"
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duration_value = str(dur_int) if dur_int is not None else ""
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if mime and mime.lower().startswith("application/pdf"):
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duration_label = "Pages"
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duration_value = str(pages_int) if pages_int is not None else ""
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columns = [
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("Title", title or ""),
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("Hash", hash_value or ""),
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("MIME", mime or ""),
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("Size(MB)", str(size_mb) if size_mb is not None else ""),
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(duration_label, duration_value),
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("Imported", imported_label),
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("Store", store or ""),
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]
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return {
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"title": title or path,
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"path": path,
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"store": store,
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"mime": mime,
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"size_bytes": size_bytes,
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"duration_seconds": dur_int,
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"pages": pages_int,
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"imported_ts": imported_ts,
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"imported": imported_label,
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"hash": hash_value,
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"url": url,
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"columns": columns,
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}
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@staticmethod
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def _add_table_body_row(table: ResultTable, row: Dict[str, Any]) -> None:
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"""Add a single row to the ResultTable using the prepared columns."""
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columns = row.get("columns") if isinstance(row, dict) else None
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lookup: Dict[str, Any] = {}
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if isinstance(columns, list):
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for col in columns:
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if isinstance(col, tuple) and len(col) == 2:
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label, value = col
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lookup[str(label)] = value
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row_obj = table.add_row()
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row_obj.add_column("Hash", lookup.get("Hash", ""))
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row_obj.add_column("MIME", lookup.get("MIME", ""))
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row_obj.add_column("Size(MB)", lookup.get("Size(MB)", ""))
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if "Duration(s)" in lookup:
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row_obj.add_column("Duration(s)", lookup.get("Duration(s)", ""))
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elif "Pages" in lookup:
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row_obj.add_column("Pages", lookup.get("Pages", ""))
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else:
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row_obj.add_column("Duration(s)", "")
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def run(self, result: Any, args: Sequence[str], config: Dict[str, Any]) -> int:
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"""Main execution entry point."""
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# Parse arguments
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parsed = parse_cmdlet_args(args, self)
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# Get hash and store from parsed args or result
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file_hash = parsed.get("hash") or get_field(result, "hash")
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storage_source = parsed.get("store") or get_field(result, "store")
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if not file_hash:
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log("No hash available - use -hash to specify", file=sys.stderr)
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return 1
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if not storage_source:
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log("No storage backend specified - use -store to specify", file=sys.stderr)
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return 1
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# Use storage backend to get metadata
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try:
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from Store import Store
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storage = Store(config)
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backend = storage[storage_source]
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# Get metadata from backend
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metadata = backend.get_metadata(file_hash)
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if not metadata:
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log(f"No metadata found for hash {file_hash[:8]}... in {storage_source}", file=sys.stderr)
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return 1
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# Extract title from tags if available
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title = get_field(result, "title") or file_hash[:16]
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if not get_field(result, "title"):
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# Try to get title from tags
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try:
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tags, _ = backend.get_tag(file_hash)
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for tag in tags:
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if tag.lower().startswith("title:"):
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title = tag.split(":", 1)[1]
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break
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except Exception:
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pass
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# Extract metadata fields
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mime_type = metadata.get("mime") or metadata.get("ext", "")
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file_size = metadata.get("size")
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duration_seconds = metadata.get("duration")
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if duration_seconds is None:
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duration_seconds = metadata.get("duration_seconds")
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if duration_seconds is None:
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duration_seconds = metadata.get("length")
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if duration_seconds is None and isinstance(metadata.get("duration_ms"), (int, float)):
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try:
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duration_seconds = float(metadata["duration_ms"]) / 1000.0
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except Exception:
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duration_seconds = None
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if isinstance(duration_seconds, str):
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s = duration_seconds.strip()
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if s:
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try:
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duration_seconds = float(s)
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except ValueError:
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if ":" in s:
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parts = [p.strip() for p in s.split(":") if p.strip()]
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if len(parts) in {2, 3} and all(p.isdigit() for p in parts):
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nums = [int(p) for p in parts]
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if len(nums) == 2:
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duration_seconds = float(nums[0] * 60 + nums[1])
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else:
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duration_seconds = float(nums[0] * 3600 + nums[1] * 60 + nums[2])
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else:
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duration_seconds = None
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pages = metadata.get("pages")
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url = metadata.get("url") or []
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imported_ts = self._extract_imported_ts(metadata)
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# Normalize url
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if isinstance(url, str):
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try:
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url = json.loads(url)
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except (json.JSONDecodeError, TypeError):
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url = []
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if not isinstance(url, list):
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url = []
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# Build display row
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row = self._build_table_row(
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title=title,
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store=storage_source,
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path=metadata.get("path", ""),
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mime=mime_type,
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size_bytes=file_size,
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dur_seconds=duration_seconds,
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imported_ts=imported_ts,
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url=url,
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hash_value=file_hash,
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pages=pages,
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)
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table_title = title
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table = ResultTable(table_title).init_command("get-metadata", list(args))
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self._add_table_body_row(table, row)
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ctx.set_last_result_table_overlay(table, [row], row)
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ctx.emit(row)
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return 0
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except KeyError:
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log(f"Storage backend '{storage_source}' not found", file=sys.stderr)
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return 1
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except Exception as exc:
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log(f"Failed to get metadata: {exc}", file=sys.stderr)
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return 1
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CMDLET = Get_Metadata()
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