/reports/export?range=1m|3m|6m|12m&format=csv|zip. CSV has one row per erased drive (system and drive serials, standard, result, times, licence consumption id). ZIP holds the original XML/PDF reports plus summary.csv. Reports are selected by the date inside each XML, falling back to mtime only when it is missing. Exports are audit-logged.
172 lines
6.3 KiB
Python
172 lines
6.3 KiB
Python
"""
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Parse Blancco Drive Eraser XML report into a friendly Python dict.
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Blancco encodes everything as <entries name="X"><entry name="K" type="T">V</entry>...
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which is too noisy to read directly in a template. Walking the tree once into
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nested dicts/lists lets the template render fields by their semantic name
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without any XPath-style noise.
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Returned shape (best-effort; missing keys are OK in templates):
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{
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"meta": {document_id, date, product_name, product_version,
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product_revision, integrity},
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"company": {business_location, business_name, customer_license, ...},
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"license_consumption_ids": [str, ...],
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"erasures": [ {erasure_id, timestamp, target:{...}, state,
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elapsed_time, erasure_standard_name, step:[...], ...} ],
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"hardware": {system:{...}, bios:{...}, processors:{...}, ...},
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}
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"""
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from __future__ import annotations
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import xml.etree.ElementTree as ET
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def _walk(node):
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# Recursive walk over Blancco's <entry|entries name="K"> children.
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# Repeated names collapse to a list.
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result = {}
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for child in node:
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name = child.attrib.get("name") or child.tag
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if child.tag == "entry":
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val = (child.text or "").strip()
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elif child.tag == "entries":
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val = _walk(child)
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else:
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continue
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if name in result:
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existing = result[name]
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if not isinstance(existing, list):
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result[name] = [existing]
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result[name].append(val)
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else:
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result[name] = val
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return result
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def _text(parent, path, default=""):
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if parent is None:
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return default
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el = parent.find(path)
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if el is None or el.text is None:
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return default
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return el.text.strip()
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def parse(path: str) -> dict:
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tree = ET.parse(path)
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root = tree.getroot()
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rep = root.find(".//report/blancco_data") or root
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out = {
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"meta": {},
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"company": {},
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"license_consumption_ids": [],
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"erasures": [],
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"hardware": {},
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}
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desc = rep.find("description")
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if desc is not None:
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out["meta"]["document_id"] = _text(desc, "document_id")
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log_entry = desc.find(".//log_entry")
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if log_entry is not None:
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author = log_entry.find("author")
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if author is not None:
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out["meta"]["product_name"] = _text(author, "product_name")
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out["meta"]["product_version"] = _text(author, "product_version")
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out["meta"]["product_revision"] = _text(author, "product_revision")
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out["meta"]["date"] = _text(log_entry, "date")
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out["meta"]["integrity"] = _text(log_entry, "integrity")
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company = desc.find(".//entry[@name='description_entries']/entries[@name='company_information']")
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if company is not None:
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for e in company.findall("entry"):
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k = e.attrib.get("name", "")
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if k:
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out["company"][k] = (e.text or "").strip()
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lcids = desc.find(".//entry[@name='description_entries']/entries[@name='license_consumption_ids']")
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if lcids is not None:
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for e in lcids.findall("entry"):
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v = (e.text or "").strip()
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if v:
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out["license_consumption_ids"].append(v)
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for er in rep.findall(".//blancco_erasure_report//entries[@name='erasure']"):
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out["erasures"].append(_walk(er))
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hw = rep.find("blancco_erasure_report/../blancco_hardware_report") or rep.find(".//blancco_hardware_report")
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if hw is not None:
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for sub in hw:
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if sub.tag != "entries":
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continue
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out["hardware"][sub.attrib.get("name", "")] = _walk(sub)
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return out
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def report_datetime(data: dict):
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"""Report creation time from the report itself, or None if missing.
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Blancco writes ISO 8601 with a numeric offset, e.g.
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2026-09-04T17:00:22+0000. File mtime is not reliable for audit ranges:
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copying reports onto the share resets it.
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"""
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from datetime import datetime
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raw = (data.get("meta") or {}).get("date") or ""
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try:
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return datetime.strptime(raw, "%Y-%m-%dT%H:%M:%S%z")
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except ValueError:
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return None
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EXPORT_COLUMNS = [
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"report_file", "report_date", "document_id", "product_version",
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"system_manufacturer", "system_model", "system_serial",
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"drive_model", "drive_serial", "drive_capacity_gb", "drive_interface",
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"erasure_standard", "state", "start_time", "end_time", "elapsed_time",
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"total_errors", "license_consumption_id", "business_name",
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]
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def export_rows(filename: str, data: dict, when: str) -> list[dict]:
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"""One CSV row per erased drive; a report with no erasures still gets a row."""
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meta = data.get("meta") or {}
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system = (data.get("hardware") or {}).get("system") or {}
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if isinstance(system, list):
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system = system[0] if system else {}
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base = {
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"report_file": filename,
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"report_date": when,
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"document_id": meta.get("document_id", ""),
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"product_version": meta.get("product_version", ""),
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"system_manufacturer": system.get("manufacturer", ""),
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"system_model": system.get("model", ""),
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"system_serial": system.get("serial", ""),
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"license_consumption_id": ";".join(data.get("license_consumption_ids") or []),
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"business_name": (data.get("company") or {}).get("business_name", ""),
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}
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rows = []
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for er in data.get("erasures") or []:
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target = er.get("target") or {}
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if isinstance(target, list):
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target = target[0] if target else {}
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try:
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cap = f"{int(target.get('capacity', '')) / 1e9:.1f}"
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except ValueError:
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cap = ""
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rows.append({
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**base,
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"drive_model": target.get("model", ""),
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"drive_serial": target.get("serial", ""),
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"drive_capacity_gb": cap,
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"drive_interface": target.get("interface_type", ""),
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"erasure_standard": er.get("erasure_standard_name", ""),
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"state": er.get("state", ""),
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"start_time": er.get("start_time", ""),
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"end_time": er.get("end_time", ""),
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"elapsed_time": er.get("elapsed_time", ""),
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"total_errors": er.get("total_errors", ""),
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})
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return rows or [base]
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