periscope/backend/services/datasheet_store.py

"""Content-addressed datasheet storage for the shared library.

Stores PDF blobs by their MD5 hash and creates lightweight JSON ref files
that map MPN names to blob keys.  This deduplicates identical PDFs that
were previously stored under different human-readable names.

Layout::

    library/datasheets/
      blobs/{md5hash}.pdf          -- unique PDF content, stored once
      refs/{safe_mpn}.json         -- per-MPN pointer: {"hash": "...", "blob_key": "..."}
"""

from __future__ import annotations

import hashlib
from pathlib import Path

from backend.pinscopex.utils import safe_mpn
from backend.services.storage import StorageBackend

BLOB_PREFIX = "library/datasheets/blobs/"
REF_PREFIX = "library/datasheets/refs/"


# ---------------------------------------------------------------------------
# Hashing helpers
# ---------------------------------------------------------------------------

def compute_md5_from_path(local_path: Path) -> str:
    """Return the hex MD5 digest of a local file (chunked read)."""
    h = hashlib.md5()
    with open(local_path, "rb") as f:
        for chunk in iter(lambda: f.read(8192), b""):
            h.update(chunk)
    return h.hexdigest()


def compute_md5_from_bytes(data: bytes) -> str:
    """Return the hex MD5 digest of in-memory bytes."""
    return hashlib.md5(data).hexdigest()


# ---------------------------------------------------------------------------
# Key construction
# ---------------------------------------------------------------------------

def blob_key(md5: str) -> str:
    """Storage key for a content-addressed PDF blob."""
    return f"{BLOB_PREFIX}{md5}.pdf"


def ref_key(mpn: str) -> str:
    """Storage key for an MPN → blob ref file."""
    return f"{REF_PREFIX}{safe_mpn(mpn)}.json"


# ---------------------------------------------------------------------------
# Store / resolve / delete
# ---------------------------------------------------------------------------

def store_datasheet(
    storage: StorageBackend,
    local_path: Path,
    mpn: str,
) -> str:
    """Store a datasheet PDF by content hash and create an MPN ref.

    Idempotent: skips blob upload if it already exists, always writes the ref.
    Returns the blob storage key.
    """
    md5 = compute_md5_from_path(local_path)
    bk = blob_key(md5)
    if not storage.exists(bk):
        storage.upload_from_local(local_path, bk)
    storage.write_json(ref_key(mpn), {"hash": md5, "blob_key": bk, "mpn": mpn})
    return bk


def store_datasheet_bytes(
    storage: StorageBackend,
    data: bytes,
    mpn: str,
) -> str:
    """Same as :func:`store_datasheet` but from in-memory bytes."""
    md5 = compute_md5_from_bytes(data)
    bk = blob_key(md5)
    if not storage.exists(bk):
        storage.write_bytes(bk, data)
    storage.write_json(ref_key(mpn), {"hash": md5, "blob_key": bk, "mpn": mpn})
    return bk


def resolve_datasheet(storage: StorageBackend, mpn: str) -> str | None:
    """Look up the blob key for an MPN via its ref file.

    Returns the blob key if the ref exists *and* the blob exists, else None.
    """
    rk = ref_key(mpn)
    if not storage.exists(rk):
        return None
    ref = storage.read_json(rk)
    bk = ref.get("blob_key")
    if bk and storage.exists(bk):
        return bk
    return None


def delete_datasheet_ref(storage: StorageBackend, mpn: str) -> str | None:
    """Delete the ref for an MPN.  Returns the blob key if a ref existed.

    Does **not** delete the blob — other refs may point to it.  Use
    :func:`gc_orphan_blobs` to clean up unreferenced blobs.
    """
    rk = ref_key(mpn)
    if not storage.exists(rk):
        return None
    ref = storage.read_json(rk)
    bk = ref.get("blob_key")
    storage.delete_key(rk)
    return bk


# ---------------------------------------------------------------------------
# Maintenance
# ---------------------------------------------------------------------------

def gc_orphan_blobs(
    storage: StorageBackend, *, dry_run: bool = True,
) -> list[str]:
    """Find blobs not referenced by any ref file.  Optionally delete them.

    Also checks pattern ``datasheet_key`` values so blobs referenced only
    by patterns (not MPN refs) are kept.

    Intended for maintenance scripts, not hot paths.
    """
    # Collect all hashes referenced by ref files
    referenced_hashes: set[str] = set()
    for rk in storage.list_recursive(REF_PREFIX):
        if rk.endswith(".json"):
            ref = storage.read_json(rk)
            h = ref.get("hash")
            if h:
                referenced_hashes.add(h)

    # Also collect hashes from pattern datasheet_key values
    for pk in storage.list_recursive("library/patterns/"):
        if pk.endswith(".json"):
            pat = storage.read_json(pk)
            ds_key = pat.get("datasheet_key", "")
            if ds_key.startswith(BLOB_PREFIX) and ds_key.endswith(".pdf"):
                h = ds_key.removeprefix(BLOB_PREFIX).removesuffix(".pdf")
                referenced_hashes.add(h)

    # Find orphan blobs
    orphans: list[str] = []
    for bk in storage.list_recursive(BLOB_PREFIX):
        if not bk.endswith(".pdf"):
            continue
        filename = bk.rsplit("/", 1)[-1]
        h = filename.removesuffix(".pdf")
        if h not in referenced_hashes:
            orphans.append(bk)
            if not dry_run:
                storage.delete_key(bk)

    return orphans