batch-leapp/batch_leapp.py at main · abrignoni/batch-leapp · GitHub

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#!/usr/bin/env python3
"""
batch_leapp.py — recursively find every .zip in a directory and run a LEAPP
tool (iLEAPP / ALEAPP / RLEAPP / VLEAPP) on each.

Each zip gets its own output directory so you end up with a folder full of
ready-to-review LEAPP report directories, plus a master index.html linking them.

Example:
    python batch_leapp.py /Volumes/Cases/extractions /Volumes/Cases/reports \
        --leapp /path/to/iLEAPP/ileapp.py

The LEAPP tool is invoked as:  python <x>leapp.py -t zip -i <zip> -o <out dir>
which is the shared CLI of iLEAPP, ALEAPP, RLEAPP and VLEAPP.
"""

import argparse
import csv
import hashlib
import html
import json
import os
import re
import subprocess
import sys
import tarfile
import threading
import time
import zipfile
from concurrent.futures import ThreadPoolExecutor, as_completed
from datetime import datetime
from pathlib import Path
from urllib.parse import quote

import batch_coverage

# Embedded leapps.org brand assets (downscaled) so the generated index.html
# is fully self-contained and needs no external files.
LEAPP_LOGO_DATA_URI = "data:image/png;base64,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"
FAVICON_DATA_URI = "data:image/png;base64,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"


# Archive extensions we can hand to a LEAPP tool, mapped to the -t value to use.
# Order matters: longer/compound extensions must come before their suffixes so
# '.tar.gz' wins over '.gz'.
ARCHIVE_EXTS = (
    (".tar.gz", "gz"),
    (".tgz", "gz"),
    (".tar", "tar"),
    (".zip", "zip"),
    (".gz", "gz"),
)


def archive_kind(path: Path):
    """Return (leapp_type, matched_ext) for a recognised archive, else (None, None)."""
    name = path.name.lower()
    for ext, kind in ARCHIVE_EXTS:
        if name.endswith(ext):
            return kind, ext
    return None, None


# Directories from a previous LEAPP run (e.g. 'iLEAPP_Reports_2026-..',
# 'ALEAPP_Reports_..'). We never descend into these: they hold report artifacts
# — including thousands of tiny browser-cache .gz files — that are NOT extractions.
LEAPP_REPORT_DIR_RE = re.compile(r"leapp_reports_", re.IGNORECASE)


def _is_gzipped_tar(path: Path) -> bool:
    try:
        return tarfile.is_tarfile(path)
    except (OSError, tarfile.TarError):
        return False


def find_archives(root: Path, kinds=None, exclude=None):
    """Return every supported *extraction* archive under root, sorted.

    Yields (path, leapp_type, matched_ext). `kinds` optionally restricts to a set
    of -t values (e.g. {"zip"}). `exclude` is a set of directories to skip.

    Guards against grabbing things that aren't extractions:
      - skips macOS AppleDouble companions ('._name');
      - does NOT descend into prior LEAPP report folders ('*LEAPP_Reports_*') or
        excluded dirs (e.g. the output dir);
      - a bare '.gz' counts only if it's a gzipped TAR — a lone gzipped file
        (browser cache, a single log, etc.) is not a filesystem extraction.
    """
    exclude = {Path(e).resolve() for e in (exclude or [])}
    out = []
    for dirpath, dirnames, filenames in os.walk(root):
        here = Path(dirpath)
        # Prune: don't recurse into report folders or excluded subtrees.
        dirnames[:] = [
            dn for dn in dirnames
            if not LEAPP_REPORT_DIR_RE.search(dn)
            and (here / dn).resolve() not in exclude
        ]
        for fn in filenames:
            if fn.startswith("._"):
                continue
            p = here / fn
            kind, ext = archive_kind(p)
            if not kind or (kinds is not None and kind not in kinds):
                continue
            if ext == ".gz" and not _is_gzipped_tar(p):
                continue                          # lone .gz → not an extraction
            out.append((p, kind, ext))
    return sorted(out, key=lambda t: t[0].as_posix())


def find_zips(root: Path):
    """Back-compat: every *.zip under root (see find_archives for all types)."""
    return [p for p, kind, _ in find_archives(root, {"zip"})]


def is_valid_archive(path: Path, kind: str) -> bool:
    """Cheap integrity pre-check so a corrupt/mislabeled file is flagged instead
    of crashing the LEAPP run. Reads only headers/central directory, not the
    whole file."""
    try:
        if kind == "zip":
            return zipfile.is_zipfile(path)
        if kind == "tar":
            return tarfile.is_tarfile(path)
        if kind == "gz":
            if tarfile.is_tarfile(path):          # gzipped tar
                return True
            with open(path, "rb") as f:           # plain gzip magic
                return f.read(2) == b"\x1f\x8b"
    except OSError:
        return False
    return False


def sha256_file(path: Path) -> str:
    """SHA-256 hex digest of a file, streamed so huge extractions don't blow RAM."""
    h = hashlib.sha256()
    with open(path, "rb") as f:
        for chunk in iter(lambda: f.read(1024 * 1024), b""):
            h.update(chunk)
    return h.hexdigest()


# Display names for the known LEAPP tools, keyed by script stem.
LEAPP_NAMES = {
    "ileapp": "iLEAPP",
    "aleapp": "ALEAPP",
    "rleapp": "RLEAPP",
    "vleapp": "VLEAPP",
}


def tool_name_from(leapp_path: Path) -> str:
    """Derive a display name (e.g. 'ALEAPP') from the LEAPP tool's filename.

    Works for scripts (ileapp.py), binaries (ileapp, iLEAPP.exe) and macOS app
    bundles (iLEAPP.app). Trailing 'gui'/'cli' markers are stripped first.
    """
    stem = leapp_path.stem.lower()
    for suffix in ("gui", "-cli", "_cli", "cli"):
        if stem.endswith(suffix) and len(stem) > len(suffix):
            stem = stem[:-len(suffix)]
            break
    if stem in LEAPP_NAMES:
        return LEAPP_NAMES[stem]
    # Generic *leapp fallback, else just the upper-cased stem.
    if stem.endswith("leapp") and len(stem) > len("leapp"):
        return stem[:-len("leapp")] + "LEAPP"
    return stem.upper()


def leapp_target_ok(leapp: Path) -> bool:
    """True if `leapp` is a usable target: a file (script/binary) or a .app dir."""
    return leapp.is_file() or (leapp.suffix.lower() == ".app" and leapp.is_dir())


def is_gui_build(leapp: Path) -> bool:
    """True if the path looks like an interactive LEAPP *GUI* build (which can't
    be driven with batch -t/-i/-o arguments)."""
    return "gui" in leapp.stem.lower()


def _macos_app_executable(app: Path) -> Path:
    """Return the CLI executable inside a macOS .app bundle."""
    import plistlib
    macos = app / "Contents" / "MacOS"
    name = None
    try:
        with open(app / "Contents" / "Info.plist", "rb") as f:
            name = plistlib.load(f).get("CFBundleExecutable")
    except (OSError, ValueError):
        name = None
    if name and (macos / name).exists():
        return macos / name
    if macos.is_dir():                       # fallback: first file in MacOS/
        for p in sorted(macos.iterdir()):
            if p.is_file():
                return p
    return macos / (name or app.stem)


def default_python() -> str:
    """Interpreter used to run a .py LEAPP tool. In a PyInstaller build,
    sys.executable is THIS frozen binary (not Python), so fall back to a real
    python on PATH — otherwise running a .py tool would re-invoke batch-leapp."""
    if getattr(sys, "frozen", False):
        import shutil
        return shutil.which("python3") or shutil.which("python") or "python3"
    return sys.executable


def leapp_command_prefix(leapp: Path, python: str) -> list:
    """Command prefix to invoke a LEAPP tool — supports .py scripts as well as
    packaged binaries and macOS .app bundles (all share the -t/-i/-o CLI)."""
    if leapp.suffix.lower() == ".py":
        return [python, str(leapp)]
    if leapp.suffix.lower() == ".app" and leapp.is_dir():
        return [str(_macos_app_executable(leapp))]
    return [str(leapp)]                       # plain binary / executable


def unique_dir(parent: Path, name: str) -> Path:
    """Return a non-existing directory path under parent based on name."""
    candidate = parent / name
    n = 1
    while candidate.exists():
        candidate = parent / f"{name}_{n}"
        n += 1
    return candidate


def locate_report_files(dest: Path):
    """Find the report index.html and the .lava file iLEAPP wrote under dest.

    iLEAPP writes a timestamped 'iLEAPP_Reports_*' folder inside dest; the
    report files live in there. Return (index_html, lava_file) as Paths or None.
    """
    indexes = sorted(dest.rglob("index.html"))
    lavas = sorted(dest.rglob("*.lava"))
    return (indexes[0] if indexes else None,
            lavas[0] if lavas else None)


def href(target: Path, base: Path) -> str:
    """URL-quoted relative href from base to target (forward slashes)."""
    rel = target.relative_to(base).as_posix()
    return quote(rel)


def fmt_duration(seconds: float) -> str:
    """Format an elapsed time as e.g. '1h 03m 12s' / '4m 07s' / '38s'."""
    total = int(round(seconds))
    h, rem = divmod(total, 3600)
    m, s = divmod(rem, 60)
    if h:
        return f"{h}h {m:02d}m {s:02d}s"
    if m:
        return f"{m}m {s:02d}s"
    return f"{s}s"


# Mirrors iLEAPP's leapp_functions/lava_launcher.py: the page links to the LAVA
# download page when LAVA isn't installed, exactly like the LEAPP GUIs do.
LAVA_WEBSITE = "https://www.leapps.org/#lava"


def lava_installed() -> bool:
    """True if the LAVA desktop app is available on this machine.

    Uses the same detection iLEAPP's GUI uses (open -Ra on macOS, the LAVA
    executable / known install paths on Windows and Linux).
    """
    if sys.platform == "darwin":
        try:
            return subprocess.run(["open", "-Ra", "LAVA"],
                                  capture_output=True, check=False).returncode == 0
        except OSError:
            return False
    if sys.platform == "win32":
        import shutil
        if shutil.which("LAVA.exe") or shutil.which("lava.exe"):
            return True
        for env_name in ("LOCALAPPDATA", "ProgramFiles", "ProgramFiles(x86)"):
            base = os.environ.get(env_name)
            if base and (Path(base, "Programs", "LAVA", "LAVA.exe").is_file()
                         or Path(base, "LAVA", "LAVA.exe").is_file()):
                return True
        return False
    # Linux and others
    import shutil
    for name in ("lava", "LAVA", "lava.AppImage", "LAVA.AppImage"):
        if shutil.which(name):
            return True
    for path in (Path.home() / "Applications" / "LAVA.AppImage",
                 Path.home() / "Applications" / "lava.AppImage",
                 Path.home() / ".local" / "bin" / "lava",
                 Path("/opt/LAVA/LAVA.AppImage"),
                 Path("/opt/lava/lava.AppImage")):
        try:
            if path.is_file() and os.access(path, os.X_OK):
                return True
        except OSError:
            continue
    return False


def isolated_env(dest: Path):
    """Return an environment that points the LEAPP tool's *shared* config dir
    (history.json / settings.json) at a private folder under dest.

    LEAPP tools keep one shared history file and update it with a
    read-modify-write that uses a fixed temp filename. Two tools running at
    once race on that file and corrupt it. Giving each parallel run its own
    config dir removes the contention entirely. The dir is derived from HOME
    (macOS), APPDATA (Windows) and XDG_CONFIG_HOME (Linux), so we set all three.
    """
    private = dest / ".leapp_home"
    private.mkdir(parents=True, exist_ok=True)
    env = os.environ.copy()
    env["HOME"] = str(private)             # macOS: ~/Library/Application Support/LEAPP
    env["APPDATA"] = str(private)          # Windows: %APPDATA%/LEAPP
    env["XDG_CONFIG_HOME"] = str(private)  # Linux: $XDG_CONFIG_HOME/LEAPP
    return env


def _terminate(proc):
    """Stop a child process: SIGTERM, then SIGKILL if it won't go."""
    try:
        proc.terminate()
        try:
            proc.wait(timeout=5)
        except subprocess.TimeoutExpired:
            proc.kill()
    except Exception:
        pass


def run_job(job: dict, timeout, capture: bool, isolate: bool = False,
            should_stop=None) -> dict:
    """Run one LEAPP subprocess. When capture is True (parallel mode) the
    combined output is captured and written to a per-job log file so concurrent
    runs don't garble the terminal. When isolate is True each run gets a private
    config dir so concurrent runs don't corrupt the shared history file.

    The child is launched with Popen and polled, so `should_stop()` can
    terminate a *running* LEAPP process (not just block new ones) — without
    this, closing the GUI would leave iLEAPP running as an orphan.
    Returns a result dict."""
    start = time.time()
    env = isolated_env(job["dest"]) if isolate else None
    kw = {"env": env, "text": True}
    if capture:
        kw["stdout"] = subprocess.PIPE
        kw["stderr"] = subprocess.STDOUT
    deadline = (start + timeout) if timeout else None

    try:
        proc = subprocess.Popen(job["cmd"], **kw)
    except OSError as e:
        return {"job": job, "rc": None, "elapsed": time.time() - start,
                "error": f"could not start: {e}"}

    output, error = None, None
    while True:
        try:
            output, _ = proc.communicate(timeout=0.5)
            break
        except subprocess.TimeoutExpired:
            if should_stop and should_stop():
                _terminate(proc)
                error = "cancelled"
            elif deadline and time.time() > deadline:
                _terminate(proc)
                error = "timeout"
            else:
                continue
            try:                       # reap and collect whatever was produced
                output, _ = proc.communicate(timeout=5)
            except Exception:
                output = None
            break

    rc = proc.returncode if error is None else None
    if capture and output:
        try:
            (job["dest"] / job["log_name"]).write_text(output, encoding="utf-8")
        except OSError:
            pass
    return {"job": job, "rc": rc, "elapsed": time.time() - start, "error": error}


# leapps.org brand palette + per-tool accent colors (from css/global.css).
TOOL_ACCENT = {
    "iLEAPP": "#E30613",
    "ALEAPP": "#A4C639",
    "RLEAPP": "#4BA3C7",
    "VLEAPP": "#531dab",
}


def write_index(output_dir: Path, entries: list, tool: str = "LEAPP",
                lava_available: bool = True, start_dt=None, end_dt=None,
                elapsed=None, coverage_lava: Path = None) -> Path:
    """Write a master index.html (styled to match leapps.org) linking every
    extraction's report folder, its index.html and its .lava file. Returns the
    path written.

    The LAVA column mirrors the LEAPP GUIs: when LAVA is installed the button
    opens the .lava project (via the OS file association); otherwise it links to
    the LAVA download page. When `coverage_lava` is given (the batch_apps.lava
    project written by --coverage), a prominent button in the header opens the
    whole-batch coverage analysis the same way.
    """
    end_dt = end_dt or datetime.now()
    title = f"{tool} batch report index"
    accent = TOOL_ACCENT.get(tool, "#F5C020")   # gold default

    meta_bits = [f"{len(entries)} extraction(s)"]
    if start_dt is not None:
        meta_bits.append(f"started {start_dt.strftime('%Y-%m-%d %H:%M:%S')}")
    meta_bits.append(f"finished {end_dt.strftime('%Y-%m-%d %H:%M:%S')}")
    if elapsed is not None:
        meta_bits.append(f"elapsed {fmt_duration(elapsed)}")
    meta_line = " &middot; ".join(html.escape(b) for b in meta_bits)

    counts = {"ok": 0, "failed": 0, "skipped": 0, "dry-run": 0}
    for e in entries:
        counts[e["status"]] = counts.get(e["status"], 0) + 1

    def cell_link(target, base, label, cls=""):
        if target is None:
            return '<span class="missing">&mdash;</span>'
        c = f' class="{cls}"' if cls else ""
        # Open in a new tab so the index stays put for the next click.
        return (f'<a{c} href="{href(target, base)}" target="_blank" '
                f'rel="noopener">{html.escape(label)}</a>')

    def lava_cell(e):
        if e["lava"] is None:
            return '<span class="missing">&mdash;</span>'
        rel = href(e["lava"], output_dir)
        # Trigger an in-page modal (built in JS) instead of silently downloading.
        cls = "btn lava lava-open" if lava_available else "btn getlava lava-open"
        label = "LAVA" if lava_available else "Get LAVA"
        title = ("Open this .lava project in LAVA" if lava_available
                 else "LAVA not installed — how to get it")
        return (f'<a class="{cls}" href="{rel}" data-rel="{rel}" '
                f'title="{title}">{label}</a>')

    def hash_cell(e):
        h = e.get("sha256")
        if not h:
            return '<span class="missing">&mdash;</span>'
        return (f'<span class="mono hash" title="SHA-256: {h}">'
                f'{h[:16]}&hellip;</span>')

    def folder_cell(e):
        # invalid archives create no output dir — show the name, not a dead link.
        if not e["dest"].exists():
            return f'<span class="mono missing">{html.escape(e["dest"].name)}</span>'
        return cell_link(e["dest"], output_dir, e["dest"].name, "folder")

    rows = []
    for e in entries:
        status = e["status"]
        rows.append(
            "<tr>"
            f'<td class="src">{html.escape(e["root"])}</td>'
            f'<td class="mono">{html.escape(e["zip"])}</td>'
            f'<td class="mono">{folder_cell(e)}</td>'
            f'<td>{cell_link(e["index"], output_dir, "report", "btn")}</td>'
            f'<td>{lava_cell(e)}</td>'
            f'<td><span class="badge {status}">{html.escape(status)}</span></td>'
            f'<td>{hash_cell(e)}</td>'
            "</tr>"
        )

    order = ["ok", "failed", "invalid", "skipped", "dry-run"]
    summary = "".join(
        f'<span class="badge {k}">{counts[k]} {k}</span>'
        for k in order if counts.get(k))

    coverage_btn = ""
    if coverage_lava is not None and Path(coverage_lava).is_file():
        rel = href(Path(coverage_lava), output_dir)
        cls = ("btn lava lava-open coverage" if lava_available
               else "btn getlava lava-open coverage")
        cov_title = ("Open the app parsing-coverage analysis in LAVA"
                     if lava_available else "LAVA not installed — how to get it")
        coverage_btn = (f'<a class="{cls}" href="{rel}" data-rel="{rel}" '
                        f'title="{cov_title}">App Coverage Analysis (LAVA)</a>')

    # Modal CSS / markup / script kept as plain strings (single braces) and
    # injected as f-string *values*, so their braces aren't parsed as fields.
    modal_css = """
  .modal-overlay { position:fixed; inset:0; background:rgba(0,0,0,.6);
    display:flex; align-items:center; justify-content:center; z-index:1000; padding:1rem; }
  .modal-overlay[hidden] { display:none; }
  .modal { background:var(--surface); border:1px solid var(--border);
    border-top:3px solid var(--accent); border-radius:6px; max-width:560px; width:100%;
    padding:1.5rem 1.75rem; position:relative; box-shadow:0 10px 40px rgba(0,0,0,.5); }
  .modal h2 { font-family:var(--font-head); text-transform:uppercase; letter-spacing:.04em;
    font-size:1.3rem; margin-bottom:.5rem; color:var(--accent); }
  .modal p { font-size:.9rem; margin:.5rem 0; }
  .modal ol { margin:.5rem 0 .5rem 1.2rem; font-size:.88rem; }
  .modal code { font-family:var(--font-mono); font-size:.82rem; background:var(--off-black);
    padding:.1rem .35rem; border-radius:3px; }
  .modal .pathbox { display:flex; gap:.5rem; margin:.85rem 0; }
  .modal .pathbox input { flex:1; font-family:var(--font-mono); font-size:.8rem;
    background:var(--off-black); color:var(--text); border:1px solid var(--border);
    border-radius:3px; padding:.45rem .55rem; }
  .modal .modal-close { position:absolute; top:.4rem; right:.7rem; background:none; border:none;
    color:var(--muted); font-size:1.6rem; cursor:pointer; line-height:1; }
  .modal .modal-close:hover { color:var(--text); }
  .modal .btn { cursor:pointer; }
"""

    modal_html = (
        '<div id="lava-modal" class="modal-overlay" hidden>'
        '<div class="modal"><button class="modal-close" aria-label="Close">&times;</button>'
        '<div id="lava-modal-body"></div></div></div>'
    )

    modal_js = """
const LAVA_INSTALLED = __LAVA_INSTALLED__;
const LAVA_WEBSITE = "__LAVA_WEBSITE__";
function esc(s){return s.replace(/[&<>"']/g,c=>({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[c]));}
function fsPath(rel){
  try{
    const u=new URL(rel, window.location.href);
    if(u.protocol!=='file:') return null;
    let p=decodeURIComponent(u.pathname);
    if(/^\\/[A-Za-z]:\\//.test(p)) p=p.slice(1).replace(/\\//g,'\\\\');
    return p;
  }catch(e){return null;}
}
function copyText(t,btn){
  const ta=document.createElement('textarea');ta.value=t;document.body.appendChild(ta);ta.select();
  try{document.execCommand('copy');btn.textContent='Copied';setTimeout(()=>btn.textContent='Copy',1500);}catch(e){}
  document.body.removeChild(ta);
}
function pathbox(val){
  return '<div class="pathbox"><input readonly value="'+esc(val)+'">'
    +'<button class="btn" onclick="copyText(this.previousElementSibling.value,this)">Copy</button></div>';
}
function openLavaModal(rel){
  const overlay=document.getElementById('lava-modal');
  const body=document.getElementById('lava-modal-body');
  const abs=fsPath(rel);
  const shown=abs||decodeURIComponent(rel);
  let h='';
  if(LAVA_INSTALLED){
    h+='<h2>Open in LAVA</h2>';
    if(abs){
      var lavaUrl='lava://open?path='+encodeURIComponent(abs);
      h+='<p>Open this project directly in LAVA:</p>';
      h+='<p><a class="btn lava" href="'+esc(lavaUrl)+'">Open in LAVA</a></p>';
      h+='<p style="color:var(--muted);font-size:.82rem">Uses the <code>lava://</code> handler. '
        +'If nothing happens, your LAVA version may not support it yet — open it manually below.</p>';
    }else{
      h+='<p>Your browser cannot launch LAVA directly. Open this project in LAVA one of these ways:</p>';
    }
    h+='<ol><li>In LAVA choose <b>File &#9656; Open</b> and paste the path below, or</li>'
      +'<li>double-click the <code>.lava</code> file in your file manager.</li></ol>';
    h+=pathbox(shown);
    if(abs) h+='<p style="color:var(--muted);font-size:.82rem">macOS/Linux: run <code>open "'+esc(abs)+'"</code></p>';
  }else{
    h+='<h2>LAVA not installed</h2>';
    h+='<p>This report includes a LAVA project, but LAVA was not detected on this machine. '
      +'Install LAVA, then open the <code>.lava</code> file below.</p>';
    h+=pathbox(shown);
    h+='<p><a class="btn getlava" href="'+LAVA_WEBSITE+'" target="_blank" rel="noopener">Get LAVA</a></p>';
  }
  body.innerHTML=h; overlay.hidden=false;
}
document.addEventListener('click',function(e){
  const a=e.target.closest('.lava-open');
  if(a){e.preventDefault();openLavaModal(a.getAttribute('data-rel'));return;}
  if(e.target.id==='lava-modal'||e.target.classList.contains('modal-close'))
    document.getElementById('lava-modal').hidden=true;
});
document.addEventListener('keydown',function(e){
  if(e.key==='Escape'){const m=document.getElementById('lava-modal');if(m)m.hidden=true;}
});
"""
    modal_js = (modal_js
                .replace("__LAVA_INSTALLED__", "true" if lava_available else "false")
                .replace("__LAVA_WEBSITE__", LAVA_WEBSITE))

    doc = f"""<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>{html.escape(title)}</title>
<link rel="icon" href="{FAVICON_DATA_URI}">
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Barlow+Condensed:wght@600;800&family=Barlow:wght@400;500;600&family=IBM+Plex+Mono:wght@400;500&display=swap" rel="stylesheet">
<style>
  :root {{
    --gold:#F5C020; --off-black:#0E0E0E; --surface:#161616; --surface2:#1C1C1C;
    --border:#2C2C2C; --text:#F0EDE6; --muted:#888; --accent:{accent};
    --ileapp:#E30613; --aleapp:#A4C639; --rleapp:#4BA3C7; --lava:#F5C020;
    --font-head:'Barlow Condensed',sans-serif; --font-body:'Barlow',sans-serif;
    --font-mono:'IBM Plex Mono',monospace;
  }}
  * {{ box-sizing:border-box; margin:0; padding:0; }}
  body {{ background:var(--off-black); color:var(--text); font-family:var(--font-body);
         line-height:1.6; -webkit-font-smoothing:antialiased; padding:2rem; }}
  header {{ display:flex; align-items:center; gap:1.25rem; flex-wrap:wrap;
           border-bottom:1px solid var(--border); padding-bottom:1.5rem; margin-bottom:1.5rem; }}
  header img.logo {{ height:72px; width:auto; }}
  .titles {{ flex:1 1 320px; }}
  h1 {{ font-family:var(--font-head); font-weight:800; font-size:2rem;
       letter-spacing:.04em; text-transform:uppercase; }}
  h1 .tool {{ color:var(--accent); }}
  .meta {{ color:var(--muted); font-size:.85rem; letter-spacing:.04em; margin-top:.15rem; }}
  .summary {{ display:flex; gap:.5rem; flex-wrap:wrap; align-items:center; }}
  .table-wrap {{ overflow-x:auto; }}
  table {{ border-collapse:collapse; width:100%; font-size:.9rem; min-width:760px; }}
  thead th {{ font-family:var(--font-head); text-transform:uppercase; letter-spacing:.1em;
             font-size:.78rem; font-weight:600; color:var(--muted); text-align:left;
             padding:.6rem .8rem; background:var(--surface); position:sticky; top:0;
             border-bottom:2px solid var(--accent); }}
  tbody td {{ padding:.6rem .8rem; border-bottom:1px solid var(--border); vertical-align:middle; }}
  tbody tr:hover td {{ background:var(--surface); }}
  .mono {{ font-family:var(--font-mono); font-size:.82rem; }}
  .src {{ font-weight:600; }}
  a {{ color:var(--accent); text-decoration:none; }}
  a:hover {{ text-decoration:underline; }}
  a.folder {{ color:var(--text); }}
  a.btn {{ display:inline-block; padding:.2rem .7rem; border:1px solid var(--border);
          border-radius:3px; background:var(--surface2); font-size:.8rem;
          font-family:var(--font-head); text-transform:uppercase; letter-spacing:.06em; }}
  a.btn:hover {{ border-color:var(--accent); color:var(--accent); text-decoration:none; }}
  a.btn.lava {{ color:var(--lava); }}
  a.btn.getlava {{ color:var(--off-black); background:var(--lava); border-color:var(--lava); }}
  a.btn.getlava:hover {{ color:var(--off-black); background:#fff; border-color:#fff; }}
  a.btn.coverage {{ padding:.5rem 1.1rem; font-size:.95rem; border-color:var(--lava); }}
  .missing {{ color:var(--muted); }}
  .badge {{ display:inline-block; padding:.15rem .6rem; border-radius:999px; font-size:.72rem;
           font-weight:600; letter-spacing:.05em; text-transform:uppercase;
           font-family:var(--font-head); border:1px solid transparent; }}
  .badge.ok {{ color:var(--aleapp); border-color:var(--aleapp); }}
  .badge.failed {{ color:var(--ileapp); border-color:var(--ileapp); }}
  .badge.skipped {{ color:var(--gold); border-color:var(--gold); }}
  .badge.invalid {{ color:#E8762D; border-color:#E8762D; }}
  .badge.dry-run {{ color:var(--muted); border-color:var(--border); }}
  .hash {{ color:var(--muted); cursor:help; }}
  footer {{ margin-top:2rem; padding-top:1rem; border-top:1px solid var(--border);
           color:var(--muted); font-size:.78rem; letter-spacing:.04em; }}
  footer a {{ color:var(--muted); }}
{modal_css}
</style>
</head>
<body>
<header>
<img class="logo" src="{LEAPP_LOGO_DATA_URI}" alt="LEAPPs logo">
<div class="titles">
<h1><span class="tool">{html.escape(tool)}</span> batch report index</h1>
<div class="meta">{meta_line}</div>
</div>
<div class="summary">{coverage_btn}{summary}</div>
</header>
<div class="table-wrap">
<table>
<thead>
<tr><th>Source dir</th><th>Zip</th><th>Report folder</th><th>Report</th><th>LAVA</th><th>Status</th><th>SHA-256</th></tr>
</thead>
<tbody>
{chr(10).join(rows)}
</tbody>
</table>
</div>
<footer>Generated by <a href="https://github.com/abrignoni/batch-leapp">batch-leapp</a> &middot; reports by {html.escape(tool)} &middot; <a href="https://leapps.org">leapps.org</a></footer>
{modal_html}
<script>{modal_js}</script>
</body>
</html>
"""
    index_path = output_dir / "index.html"
    index_path.write_text(doc, encoding="utf-8")
    return index_path


def _rel_or_empty(target, base):
    """Relative POSIX path of target under base, or '' if target is None."""
    if target is None:
        return ""
    try:
        return Path(target).relative_to(base).as_posix()
    except ValueError:
        return str(target)


def write_manifest(output_dir: Path, entries: list, tool: str, input_dir: Path,
                   start_dt, end_dt, elapsed, counts) -> tuple:
    """Write manifest.csv and manifest.json documenting the run — what was
    processed, each input's SHA-256, status, and where its report/LAVA live.
    Returns (csv_path, json_path). Paths are relative to output_dir (portable)."""
    rows = []
    for e in entries:
        rows.append({
            "source_dir": e["root"],
            "zip": e["zip"],
            "sha256": e.get("sha256") or "",
            "status": e["status"],
            "type": e.get("type", ""),
            "elapsed_seconds": ("" if e.get("elapsed") is None
                                else round(e["elapsed"], 1)),
            "output_folder": e["dest"].name,
            "report_html": _rel_or_empty(e.get("index"), output_dir),
            "lava_file": _rel_or_empty(e.get("lava"), output_dir),
        })

    csv_path = output_dir / "manifest.csv"
    fields = ["source_dir", "zip", "sha256", "status", "type",
              "elapsed_seconds", "output_folder", "report_html", "lava_file"]
    with open(csv_path, "w", encoding="utf-8", newline="") as f:
        w = csv.DictWriter(f, fieldnames=fields)
        w.writeheader()
        w.writerows(rows)

    run_meta = {
        "tool": tool,
        "input_dir": str(input_dir),
        "output_dir": str(output_dir),
        "started": start_dt.isoformat() if start_dt else None,
        "finished": end_dt.isoformat() if end_dt else None,
        "elapsed_seconds": round(elapsed, 1) if elapsed is not None else None,
        "counts": counts,
        "hash_algorithm": "sha256",
    }
    json_path = output_dir / "manifest.json"
    with open(json_path, "w", encoding="utf-8") as f:
        json.dump({"run": run_meta, "extractions": rows}, f, indent=2)
    return csv_path, json_path


class BatchError(Exception):
    """A user-facing problem (bad input dir, missing LEAPP tool, etc.)."""


def run_batch(input_dir, output_dir, leapp, *, python=None,
              type="auto", jobs=1, timeout=None, heartbeat=30,
              skip_existing=False, dry_run=False, capture=None,
              hashes=True, extra_args=None, coverage=False,
              log=print, should_stop=None):
    """Core engine shared by the CLI and the GUI.

    Runs the chosen LEAPP tool over every archive under input_dir and writes a
    master index plus a manifest (CSV+JSON). `log(str)` receives every output
    line; `should_stop()` (if given) is polled so callers can cancel. Returns a
    result dict with keys: ok, failed, invalid, skipped, index, manifest, start,
    end, elapsed, total, tool, coverage_db.

    `type` "auto" picks -t per file from its extension (zip/tar/gz); any other
    value forces that -t for every archive. `hashes` records SHA-256 of each
    input. `extra_args` (list) is appended to every LEAPP command line.
    `coverage` enables the developer App Inventory artifacts on each run and
    aggregates every report into batch_apps.sqlite afterwards.
    Raises BatchError for bad inputs. `capture` defaults to (jobs > 1).
    """
    input_dir = Path(input_dir).expanduser().resolve()
    output_dir = Path(output_dir).expanduser().resolve()
    leapp = Path(leapp).expanduser().resolve()
    tool = tool_name_from(leapp)
    log_name = f"{tool.lower()}_run.log"
    workers = max(1, int(jobs))
    if capture is None:
        capture = workers > 1
    python = python or default_python()
    force_type = None if (not type or str(type).lower() == "auto") else str(type)
    extra = list(extra_args or [])
    do_hash = bool(hashes) and not dry_run

    if not input_dir.is_dir():
        raise BatchError(f"Input is not a directory: {input_dir}")
    if is_gui_build(leapp):
        raise BatchError(
            f"'{leapp.name}' is the interactive GUI build, which can't be run in "
            f"batch. Select the command-line LEAPP tool instead "
            f"(e.g. ileapp.py or the CLI binary).")
    if not dry_run and not leapp_target_ok(leapp):
        raise BatchError(f"LEAPP tool not found: {leapp}")

    archives = find_archives(input_dir, exclude=[output_dir])
    result = {"ok": [], "failed": [], "invalid": [], "skipped": [],
              "index": None, "manifest": None, "start": None, "end": None,
              "elapsed": 0.0, "total": len(archives), "tool": tool,
              "coverage_db": None}
    if not archives:
        log(f"No archives (.zip/.tar/.gz) found under {input_dir}")
        return result

    coverage_cleanup = None
    if coverage and not dry_run:
        cov_args, coverage_cleanup = batch_coverage.enable_coverage(leapp, tool, log)
        extra += cov_args

    start_dt = datetime.now()
    start_perf = time.monotonic()
    result["start"] = start_dt

    output_dir.mkdir(parents=True, exist_ok=True)
    log(f"Tool: {tool}  ({leapp})")
    log(f"Found {len(archives)} archive(s) under {input_dir}")
    log(f"Reports will be written under {output_dir}")
    if extra:
        log(f"Extra LEAPP args: {' '.join(extra)}")
    log(f"Started:  {start_dt.strftime('%Y-%m-%d %H:%M:%S')}\n")

    succeeded, failed = result["ok"], result["failed"]
    invalid, skipped = result["invalid"], result["skipped"]
    entries = {}   # keyed by dest so parallel results land in the right row
    prefix = leapp_command_prefix(leapp, python)
    work = []

    def stem_for(rel: Path, ext: str) -> str:
        """Per-zip folder name from the rel path, stripping the full archive ext
        (so 'a/b.tar.gz' -> 'a_b', not 'a_b.tar')."""
        parts = list(rel.parts)
        fname = parts[-1]
        parts[-1] = fname[:-len(ext)] if fname.lower().endswith(ext) else Path(fname).stem
        return "_".join(parts)

    # --- Phase 1: assign output dirs and decide what to run (sequential,
    # so unique_dir() can't race) ---
    for zip_path, kind, ext in archives:
        rel = zip_path.relative_to(input_dir)
        root = rel.parts[0] if len(rel.parts) > 1 else input_dir.name
        stem = stem_for(rel, ext)
        t = force_type or kind
        dest = output_dir / stem

        if skip_existing and dest.exists() and any(dest.iterdir()):
            log(f"skip (exists): {rel.as_posix()}")
            skipped.append(zip_path)
            idx, lava = locate_report_files(dest)
            entries[dest] = {"root": root, "zip": rel.as_posix(), "dest": dest,
                             "index": idx, "lava": lava, "status": "skipped",
                             "type": t, "elapsed": None,
                             "sha256": sha256_file(zip_path) if do_hash else None}
            continue

        if not dry_run and not is_valid_archive(zip_path, kind):
            log(f"INVALID  {rel.as_posix()}  (not a valid {kind} archive — skipped)")
            invalid.append((zip_path, "invalid archive"))
            entries[output_dir / stem] = {
                "root": root, "zip": rel.as_posix(), "dest": output_dir / stem,
                "index": None, "lava": None, "status": "invalid", "type": t,
                "elapsed": None,
                "sha256": sha256_file(zip_path) if do_hash else None}
            continue

        dest = unique_dir(output_dir, stem)
        dest.mkdir(parents=True, exist_ok=True)
        cmd = prefix + ["-t", t, "-i", str(zip_path), "-o", str(dest)] + extra

        if dry_run:
            log(f"dry-run: {' '.join(cmd)}")
            entries[dest] = {"root": root, "zip": rel.as_posix(), "dest": dest,
                             "index": None, "lava": None, "status": "dry-run",
                             "type": t, "elapsed": None, "sha256": None}
            continue

        work.append({"zip": zip_path, "rel": rel, "root": root, "type": t,
                     "dest": dest, "cmd": cmd, "log_name": log_name})

    for i, job in enumerate(work, 1):
        job["n"] = i

    # --- Phase 2: execute ---
    total = len(work)
    done = 0
    if work:
        log(f"\nRunning {total} job(s) with {workers} worker(s)...\n")

    def record(res):
        nonlocal done
        done += 1
        job = res["job"]
        idx, lava = locate_report_files(job["dest"])
        rel_str = job["rel"].as_posix()
        counter = f"[{done}/{total}]"
        if res["error"] == "cancelled":
            log(f"{counter} CANCELLED {rel_str}")
            skipped.append(job["zip"])
            status = "skipped"
        elif res["error"] == "timeout":
            log(f"{counter} TIMEOUT  {rel_str}  (after {timeout}s)")
            failed.append((job["zip"], "timeout"))
            status = "failed"
        elif res["rc"] == 0:
            log(f"{counter} OK       {rel_str}  ({res['elapsed']:.0f}s)")
            succeeded.append(job["zip"])
            status = "ok"
        else:
            hint = f", see {log_name}" if capture else ""
            log(f"{counter} FAILED   {rel_str}  (exit {res['rc']}{hint})")
            failed.append((job["zip"], f"exit {res['rc']}"))
            status = "failed"
        entries[job["dest"]] = {"root": job["root"], "zip": rel_str,
                                "dest": job["dest"], "index": idx, "lava": lava,
                                "status": status, "type": job.get("type"),
                                "elapsed": res.get("elapsed"),
                                "sha256": res.get("sha256")}

    active = {}                     # rel_str -> monotonic start time
    active_lock = threading.Lock()
    stop_beat = threading.Event()

    def run_and_track(job):
        if should_stop and should_stop():
            return {"job": job, "rc": None, "elapsed": 0, "error": "cancelled"}
        rel_str = job["rel"].as_posix()
        with active_lock:
            active[rel_str] = time.monotonic()
        log(f"[{job['n']}/{total}] START    {rel_str}")
        try:
            res = run_job(job, timeout, capture, isolate=capture,
                          should_stop=should_stop)
        finally:
            with active_lock:
                active.pop(rel_str, None)
        if do_hash:
            try:
                res["sha256"] = sha256_file(job["zip"])
            except OSError:
                res["sha256"] = None
        return res

    def heartbeat_loop():
        while not stop_beat.wait(heartbeat):
            now = time.monotonic()
            with active_lock:
                snap = sorted(active.items(), key=lambda kv: kv[1])
            if not snap:
                continue
            shown = ", ".join(f"{n} ({now - t:.0f}s)" for n, t in snap[:4])
            more = f" +{len(snap) - 4} more" if len(snap) > 4 else ""
            log(f"  ...      {len(snap)} running [{done}/{total} done]: {shown}{more}")

    beat = None
    try:
        if work and capture and heartbeat > 0:
            beat = threading.Thread(target=heartbeat_loop, daemon=True)
            beat.start()
        if workers == 1:
            for job in work:
                record(run_and_track(job))
        else:
            with ThreadPoolExecutor(max_workers=workers) as pool:
                futures = {pool.submit(run_and_track, job): job for job in work}
                for fut in as_completed(futures):
                    record(fut.result())
    except KeyboardInterrupt:
        log("\nInterrupted by user — writing index for completed runs.")
    finally:
        stop_beat.set()
        if beat:
            beat.join(timeout=1)
        if coverage_cleanup:
            coverage_cleanup()

    end_dt = datetime.now()
    elapsed = time.monotonic() - start_perf
    result["end"], result["elapsed"] = end_dt, elapsed

    # --- Phase 3: master index + manifest + summary ---
    ordered = [entries[d] for d in sorted(entries, key=lambda d: d.as_posix())]
    counts = {}
    for e in ordered:
        counts[e["status"]] = counts.get(e["status"], 0) + 1
    # The manifest must be written BEFORE the coverage aggregate runs: the
    # aggregate reads manifest.json to attach each extraction's input archive
    # path and SHA-256 (previously it ran first and recorded them empty).
    if ordered:
        csv_path, json_path = write_manifest(
            output_dir, ordered, tool, input_dir, start_dt, end_dt, elapsed, counts)
        result["manifest"] = csv_path
        log(f"\nWrote manifest:     {csv_path}")

    coverage_lava = None
    if coverage and not dry_run:
        log("")
        result["coverage_db"] = batch_coverage.aggregate(output_dir, log=log)
        if result["coverage_db"]:
            sidecar = output_dir / batch_coverage.LAVA_SIDECAR_NAME
            coverage_lava = sidecar if sidecar.is_file() else None

    if ordered:
        result["index"] = write_index(output_dir, ordered, tool,
                                       lava_installed(), start_dt, end_dt,
                                       elapsed, coverage_lava=coverage_lava)
        log(f"Wrote master index: {result['index']}")