persistent_data_gate.py

import os
import shutil
import zipfile
import io
import runpy
from pathlib import Path
from typing import Optional

from compliance_client import compliance_client

def _load_data_origin(base_dir: Path) -> str:
    """Lee demo/config.yaml y devuelve data_origin (internal|external)."""

    cfg_path = base_dir / "config.yaml"
    origin = "internal"
    try:
        import yaml

        with cfg_path.open("r", encoding="utf-8") as f:
            cfg = yaml.safe_load(f) or {}
        # data_origin pasa a estar dentro de la sección app
        app_cfg = cfg.get("app", {}) or {}
        origin = str(app_cfg.get("data_origin", "internal")).lower()
    except Exception:
        origin = "internal"
    return origin


def _load_compliance_flags(base_dir: Path) -> dict:
    """Llegeix flags de la secció 'compliance' de demo/config.yaml.



    Retorna un dict amb claus:

    - private_blockchain_enable

    - public_blockchain_enable

    - monthly_digest_enabled

    """

    cfg_path = base_dir / "config.yaml"
    flags = {
        "private_blockchain_enabled": False,
        "public_blockchain_enabled": False,
        "monthly_digest_enabled": False,
    }

    try:
        import yaml

        with cfg_path.open("r", encoding="utf-8") as f:
            cfg = yaml.safe_load(f) or {}
        comp = cfg.get("compliance", {}) or {}
        # Suportar tant els noms antics (*_enable) com els nous (*_enabled)
        flags["private_blockchain_enabled"] = bool(
            comp.get("private_blockchain_enabled",
                     comp.get("private_blockchain_enable", False))
        )
        flags["public_blockchain_enabled"] = bool(
            comp.get("public_blockchain_enabled",
                     comp.get("public_blockchain_enable", False))
        )
        flags["monthly_digest_enabled"] = bool(comp.get("monthly_digest_enabled", False))
    except Exception:
        # Manté valors per defecte en cas d'error
        return flags

    return flags


def ensure_temp_databases(base_dir: Path, api_client) -> None:
    """Garantiza que las BDs *.db estén presentes en demo/temp/db antes del login.



    - data_origin == "internal": copia demo/data/db/*.db -> demo/temp/db/*.db

    - data_origin == "external": llama al endpoint remoto import_databases (ZIP) y lo extrae en demo/temp/db.



    Solo se ejecuta una vez por sesión del servidor (usa marker file).

    """

    data_origin = _load_data_origin(base_dir)
    temp_root = base_dir / "temp"
    db_temp_dir = temp_root / "db"
    db_temp_dir.mkdir(parents=True, exist_ok=True)

    # Marker file para evitar re-ejecuciones en cada render de Streamlit
    marker_file = db_temp_dir / ".db_imported"

    if data_origin == "internal":
        source_dir = base_dir / "data" / "db"
        if not source_dir.exists():
            return

        # Verificar si ya se importaron (marker existe y todos los .db están presentes)
        db_files = list(source_dir.glob("*.db"))
        missing = [f.name for f in db_files if not (db_temp_dir / f.name).exists()]

        if marker_file.exists() and not missing:
            # Ya importado, no hacer nada
            return

        # Copiar solo los que faltan
        for entry in db_files:
            dest = db_temp_dir / entry.name
            if not dest.exists():
                shutil.copy2(entry, dest)

        # Crear marker
        try:
            marker_file.write_text("internal", encoding="utf-8")
        except Exception:
            pass
    else:
        # Mode external: descarregar BDs del backend una sola vegada per sessió del servidor
        ext_marker = db_temp_dir / ".external_db_imported"
        missing = [name for name in ("feedback.db", "users.db", "videos.db") if not (db_temp_dir / name).exists()]

        if ext_marker.exists() and not missing:
            return

        if missing:
            try:
                ext_marker.unlink(missing_ok=True)  # type: ignore[arg-type]
            except Exception:
                pass

        if api_client is None:
            return

        try:
            resp = api_client.import_databases()
            zip_bytes = resp.get("zip_bytes") if isinstance(resp, dict) else None
            if zip_bytes:
                _extract_zip_bytes(zip_bytes, db_temp_dir)
                try:
                    ext_marker.write_text("imported", encoding="utf-8")
                except Exception:
                    pass
        except Exception:
            return


def maybe_publish_monthly_actions_digest(

    base_dir: Path,

    compliance_client,

    public_blockchain_enabled: bool,

    monthly_digest_enabled: bool,

) -> None:
    """Publica, si cal, el digest mensual sobre actions.db a Polygon.



    S'executa després de tenir demo/temp/db poblats. Calcula el hash de totes

    les accions del mes anterior (segons camp timestamp) i, si encara no s'ha

    registrat una acció "Monthly Digest sent to Polygon" amb aquest hash,

    el publica via servei de compliance.

    """

    if not (public_blockchain_enabled and monthly_digest_enabled):
        return

    try:
        from datetime import datetime, date
        import sqlite3
        import hashlib
        import json

        db_temp_dir = base_dir / "temp" / "db"
        actions_db_path = db_temp_dir / "actions.db"
        if not actions_db_path.exists():
            return

        today = datetime.utcnow().date()
        # Període objectiu: mes anterior
        if today.month == 1:
            year = today.year - 1
            month = 12
        else:
            year = today.year
            month = today.month - 1

        period = f"{year:04d}-{month:02d}"

        # Rang de timestamps per al mes anterior
        start_ts = f"{period}-01 00:00:00"
        if month == 12:
            next_year = year + 1
            next_month = 1
        else:
            next_year = year
            next_month = month + 1
        end_period = f"{next_year:04d}-{next_month:02d}"
        end_ts = f"{end_period}-01 00:00:00"

        with sqlite3.connect(str(actions_db_path)) as conn:
            conn.row_factory = sqlite3.Row
            cur = conn.cursor()

            # Assegurar que la taula actions existeix
            cur.execute(
                "SELECT name FROM sqlite_master WHERE type='table' AND name='actions'"
            )
            if not cur.fetchone():
                return

            # Llegir totes les accions del període
            cur.execute(
                "SELECT * FROM actions WHERE timestamp >= ? AND timestamp < ?",
                (start_ts, end_ts),
            )
            rows = cur.fetchall()
            if not rows:
                return

            payload: list[dict[str, Any]] = []
            for r in rows:
                payload.append({k: r[k] for k in r.keys()})

            serialized = json.dumps(payload, sort_keys=True, separators=(",", ":"))
            digest_hash = hashlib.sha256(serialized.encode("utf-8")).hexdigest()

            # Comprovar si ja hem enregistrat aquest digest com enviat
            cur.execute(
                "SELECT 1 FROM actions WHERE action = 'Monthly Digest sent to Polygon' AND sha1sum = ? LIMIT 1",
                (digest_hash,),
            )
            if cur.fetchone():
                return

        # Publicar via servei de compliance
        try:
            resp = compliance_client.publish_monthly_digest(period, digest_hash=digest_hash)
            if resp:
                try:
                    from databases import log_action

                    log_action(
                        session="",  # digest global per període
                        user="",
                        phone="",
                        action="Monthly Digest sent to Polygon",
                        sha1sum=digest_hash,
                    )
                except Exception:
                    pass
        except Exception:
            # No aturar el flux per errors de digest mensual
            return
    except Exception:
        # No ha de bloquejar l'aplicació
        return


def _extract_zip_bytes(zip_bytes: bytes, target_dir: Path) -> None:
    target_dir.mkdir(parents=True, exist_ok=True)
    with zipfile.ZipFile(io.BytesIO(zip_bytes)) as zf:
        zf.extractall(target_dir)

def ensure_media_for_video(

    base_dir: Path,

    api_client,

    sha1sum: str,

    version: Optional[str] = None,

) -> None:
    """Garantiza que exista demo/temp/media/<sha1sum>[/<version>].



    - data_origin == "internal":

      * copia video.mp4 desde demo/data/media/<sha1sum>/ a demo/temp/media/<sha1sum>/

      * si version, copia carpeta demo/data/media/<sha1sum>/<version> -> demo/temp/media/<sha1sum>/<version>

    - data_origin == "external":

      * usa endpoints del engine para obtener zips de media y descomprimirlos en demo/temp/media.

    """

    data_origin = _load_data_origin(base_dir)
    temp_media_root = base_dir / "temp" / "media"
    data_media_root = base_dir / "data" / "media"

    video_dir_temp = temp_media_root / sha1sum
    if not video_dir_temp.exists():
        video_dir_temp.mkdir(parents=True, exist_ok=True)
        if data_origin == "internal":
            src_video = data_media_root / sha1sum / "video.mp4"
            if src_video.exists():
                shutil.copy2(src_video, video_dir_temp / "video.mp4")
        else:
            if api_client is not None:
                try:
                    resp = api_client.import_media(sha1sum)
                    zip_bytes = resp.get("zip_bytes") if isinstance(resp, dict) else None
                    if zip_bytes:
                        _extract_zip_bytes(zip_bytes, video_dir_temp)
                except Exception:
                    pass

    if not version:
        return

    version_dir_temp = video_dir_temp / version
    if version_dir_temp.exists():
        return

    if data_origin == "internal":
        src_version_dir = data_media_root / sha1sum / version
        if src_version_dir.exists():
            shutil.copytree(src_version_dir, version_dir_temp, dirs_exist_ok=True)
    else:
        if api_client is None:
            return
        try:
            resp = api_client.import_media_version(sha1sum, version)
            zip_bytes = resp.get("zip_bytes") if isinstance(resp, dict) else None
            if zip_bytes:
                _extract_zip_bytes(zip_bytes, version_dir_temp)
        except Exception:
            return


def confirm_changes_and_logout(base_dir: Path, api_client, session_id: str) -> None:
    """Confirma canvis de la sessió actual i els persisteix.



    1) Per a totes les taules de demo/temp/*.db que tinguin camp 'session' amb

       valor igual a session_id, es generen INSERTs per aplicar els canvis a

       demo/data/*.db (mode internal) o s'envien a l'endpoint update_databases

       (mode external).



    2) Per als nous vídeos registrats a demo/temp/videos.db amb session=session_id,

       es miren les carpetes demo/temp/media/<sha1sum> corresponents.

       - internal: es copien a demo/data/media/<sha1sum>.

       - external: es crea un ZIP amb totes aquestes carpetes i s'envia a

         l'endpoint export_media del backend.

    """

    if not session_id:
        return

    data_origin = _load_data_origin(base_dir)
    temp_root = base_dir / "temp"
    db_temp_dir = temp_root / "db"
    data_dir = base_dir / "data"
    data_db_dir = data_dir / "db"

    # --- 1) Sincronitzar taules ---
    #   - internal: mantenim el comportament antic basat en el camp 'session'.
    #   - external: comparem demo/temp/*.db amb demo/temp/backup/*.db i generem INSERTs
    #               per a les files noves/modificades per a cada taula.

    import sqlite3

    if data_origin == "internal":
        sql_statements: list[str] = []

        for db_path in db_temp_dir.glob("*.db"):
            target_db = data_db_dir / db_path.name

            with sqlite3.connect(str(db_path)) as src_conn:
                src_conn.row_factory = sqlite3.Row
                cur = src_conn.cursor()

                # Llistar taules usuari
                cur.execute(
                    "SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_%'"
                )
                tables = [r[0] for r in cur.fetchall()]

                for table in tables:
                    # Mirar si la taula té columna 'session'
                    cur.execute(f"PRAGMA table_info({table})")
                    cols = cur.fetchall()
                    col_names = [c[1] for c in cols]
                    if "session" not in col_names:
                        continue

                    # Files per a la sessió actual
                    cur.execute(f"SELECT * FROM {table} WHERE session = ?", (session_id,))
                    rows = cur.fetchall()
                    if not rows:
                        continue

                    columns_sql = ", ".join(col_names)
                    placeholders = ", ".join(["?"] * len(col_names))
                    insert_sql = f"INSERT OR REPLACE INTO {table} ({columns_sql}) VALUES ({placeholders})"

                    for row in rows:
                        values = [row[name] for name in col_names]
                        # Aplicar directament a demo/data/*.db
                        target_db.parent.mkdir(parents=True, exist_ok=True)
                        with sqlite3.connect(str(target_db)) as dst_conn:
                            dst_conn.execute(insert_sql, values)
                            dst_conn.commit()
    else:
        # Mode external: diferències entre temp/db/*.db i temp/db/backup/*.db, enviant INSERTs un a un
        backup_dir = db_temp_dir / "backup"
        if backup_dir.exists() and api_client is not None:
            for db_path in db_temp_dir.glob("*.db"):
                backup_db = backup_dir / db_path.name
                if not backup_db.exists():
                    continue

                with sqlite3.connect(str(db_path)) as src_conn, sqlite3.connect(str(backup_db)) as bkp_conn:
                    src_conn.row_factory = sqlite3.Row
                    bkp_conn.row_factory = sqlite3.Row
                    cur_src = src_conn.cursor()
                    cur_bkp = bkp_conn.cursor()

                    # Llistar taules usuari
                    cur_src.execute(
                        "SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_%'"
                    )
                    tables = [r[0] for r in cur_src.fetchall()]

                    for table in tables:
                        # Obtenir esquema de la taula
                        cur_src.execute(f"PRAGMA table_info({table})")
                        cols = cur_src.fetchall()
                        col_names = [c[1] for c in cols]
                        if not col_names:
                            continue

                        # Llegir totes les files de temp i backup
                        cur_src.execute(f"SELECT * FROM {table}")
                        src_rows = cur_src.fetchall()

                        try:
                            cur_bkp.execute(f"SELECT * FROM {table}")
                            bkp_rows = cur_bkp.fetchall()
                        except sqlite3.OperationalError:
                            # Si la taula no existeix al backup, considerem totes les files com a noves
                            bkp_rows = []

                        def _row_key(row) -> tuple:
                            return tuple(row[c] for c in col_names)

                        bkp_set = {_row_key(r) for r in bkp_rows}

                        # Files noves/modificades: les que no són al backup
                        new_rows = [r for r in src_rows if _row_key(r) not in bkp_set]
                        if not new_rows:
                            continue

                        columns_sql = ", ".join(col_names)

                        def _sql_literal(v):
                            if v is None:
                                return "NULL"
                            if isinstance(v, (int, float)):
                                return str(v)
                            return "'" + str(v).replace("'", "''") + "'"

                        # Log amb recompte per taula i BD
                        print(
                            f"[SYNC] DB={db_path.name} table={table} new_or_changed_rows={len(new_rows)}"
                        )

                        # Enviar un INSERT per fila al backend (endpoint update_databases)
                        for row in new_rows:
                            values_sql = ", ".join(_sql_literal(row[c]) for c in col_names)
                            full_sql = (
                                f"INSERT OR REPLACE INTO {table} ({columns_sql}) "
                                f"VALUES ({values_sql});"
                            )
                            try:
                                api_client.update_databases({"statements": [full_sql]})
                            except Exception:
                                # No aturar tot el procés per un error puntual
                                continue

    # --- 2) Digest d'accions per a la sessió (public blockchain) ---
    events_digest_info = None
    if public_blockchain_enabled:
        actions_db_path = db_temp_dir / "actions.db"
        try:
            import sqlite3
            import hashlib
            import json

            with sqlite3.connect(str(actions_db_path)) as aconn:
                aconn.row_factory = sqlite3.Row
                cur = aconn.cursor()

                # Comprovar que existeix la taula actions
                cur.execute(
                    "SELECT name FROM sqlite_master WHERE type='table' AND name='actions'"
                )
                if cur.fetchone():
                    cur.execute(
                        "SELECT * FROM actions WHERE session = ?", (session_id,)
                    )
                    rows = cur.fetchall()
                    if rows:
                        payload = []
                        for r in rows:
                            payload.append({k: r[k] for k in r.keys()})

                        serialized = json.dumps(
                            payload, sort_keys=True, separators=(",", ":")
                        )
                        digest_hash = hashlib.sha256(
                            serialized.encode("utf-8")
                        ).hexdigest()
                        # Publicació del digest a Polygon via servei de compliance
                        print(
                            f"[POLYGON EVENTS DIGEST] session={session_id} "
                            f"events={len(payload)} hash={digest_hash}"
                        )

                        try:
                            resp = compliance_client.publish_events_digest(
                                session_id=session_id,
                                digest_hash=digest_hash,
                            )
                            if resp:
                                tx_hash = resp.get("transaction_hash")
                                tx_url = resp.get("transaction_url")
                                print(
                                    f"[POLYGON PUBLISH] ok tx_hash={tx_hash} tx_url={tx_url}"
                                )
                                # Registrar publicació del digest a actions.db
                                try:
                                    from databases import log_action

                                    log_action(
                                        session=session_id or "",
                                        user="",  # no tenim usuari explícit aquí
                                        phone="",
                                        action="Polygon events digest published",
                                        sha1sum=digest_hash,
                                    )
                                except Exception:
                                    pass
                            else:
                                print("[POLYGON PUBLISH] error: resposta buida o nul·la")
                        except Exception as bexc:
                            print(f"[POLYGON PUBLISH] error publicant digest: {bexc}")

                        events_digest_info = {
                            "events_digest": digest_hash,
                            "events_count": len(payload),
                        }
        except Exception:
            # No aturar el procés si hi ha errors en el càlcul del digest
            events_digest_info = None

    # --- 2b) Registre opcional de canvis d'actions a QLDB (private blockchain) ---
    if private_blockchain_enabled:
        actions_db_path = db_temp_dir / "actions.db"
        try:
            import sqlite3
            import hashlib
            import json

            if actions_db_path.exists():
                with sqlite3.connect(str(actions_db_path)) as aconn:
                    aconn.row_factory = sqlite3.Row
                    cur = aconn.cursor()
                    cur.execute(
                        "SELECT name FROM sqlite_master WHERE type='table' AND name='actions'"
                    )
                    if cur.fetchone():
                        cur.execute(
                            "SELECT * FROM actions WHERE session = ?",
                            (session_id,),
                        )
                        rows = cur.fetchall()
                        if rows:
                            actions_payload = []
                            for r in rows:
                                row_dict = {k: r[k] for k in r.keys()}
                                phone_val = row_dict.get("phone")
                                if phone_val:
                                    phone_hash = hashlib.sha256(
                                        str(phone_val).encode("utf-8")
                                    ).hexdigest()
                                    row_dict["phone_hash"] = phone_hash
                                    row_dict["phone"] = None
                                actions_payload.append(row_dict)

                            try:
                                _ = compliance_client.publish_actions_qldb(
                                    session_id=session_id,
                                    actions=actions_payload,
                                )
                            except Exception as qexc:
                                print(f"[QLDB PUBLISH] error guardant actions a QLDB: {qexc}")
        except Exception:
            pass

    # --- 3) Tractar revocacions de permisos abans de sincronitzar media ---
    # Vídeos per als quals, en aquesta sessió, s'ha registrat l'acció
    # "Revocation of permits" a actions.db. Aquests vídeos s'han d'eliminar
    # de temp/media, temp/pending_videos i de les BDs locals, i s'ha d'enviar
    # un SMS de confirmació a l'usuari.

    revoked_sha1s: dict[str, str] = {}
    actions_db = db_temp_dir / "actions.db"
    try:
        import sqlite3

        with sqlite3.connect(str(actions_db)) as aconn:
            aconn.row_factory = sqlite3.Row
            cur = aconn.cursor()
            # Comprovar que existeixen les columnes necessàries
            cur.execute("PRAGMA table_info(actions)")
            cols = {row[1] for row in cur.fetchall()}
            if {"session", "action", "sha1sum", "phone"}.issubset(cols):
                cur.execute(
                    """

                    SELECT DISTINCT sha1sum, phone

                    FROM actions

                    WHERE session = ? AND action = 'Revocation of permits' AND sha1sum IS NOT NULL

                    """,
                    (session_id,),
                )
                for row in cur.fetchall():
                    sha1 = str(row["sha1sum"] or "")
                    phone = str(row["phone"] or "")
                    if sha1:
                        revoked_sha1s[sha1] = phone
    except Exception:
        revoked_sha1s = {}

    # Eliminar entrades als BDs i carpetes de media/pending per a aquests vídeos
    if revoked_sha1s:
        videos_db = db_temp_dir / "videos.db"
        ad_db = db_temp_dir / "audiodescriptions.db"

        try:
            import sqlite3

            # Esborrar de videos.db
            if videos_db.exists():
                with sqlite3.connect(str(videos_db)) as vconn:
                    cur_v = vconn.cursor()
                    cur_v.execute("PRAGMA table_info(videos)")
                    vcols = {row[1] for row in cur_v.fetchall()}
                    if "sha1sum" in vcols:
                        for sha1 in revoked_sha1s.keys():
                            cur_v.execute("DELETE FROM videos WHERE sha1sum = ?", (sha1,))
                    vconn.commit()

            # Esborrar de audiodescriptions.db
            if ad_db.exists():
                with sqlite3.connect(str(ad_db)) as adconn:
                    cur_ad = adconn.cursor()
                    cur_ad.execute("PRAGMA table_info(audiodescriptions)")
                    acols = {row[1] for row in cur_ad.fetchall()}
                    if {"sha1sum"}.issubset(acols):
                        for sha1 in revoked_sha1s.keys():
                            cur_ad.execute("DELETE FROM audiodescriptions WHERE sha1sum = ?", (sha1,))
                    adconn.commit()
        except Exception:
            pass

        # Esborrar carpetes de media i pending
        temp_media_root = temp_root / "media"
        temp_pending_root = temp_root / "pending_videos"
        for sha1 in revoked_sha1s.keys():
            try:
                media_dir = temp_media_root / sha1
                pending_dir = temp_pending_root / sha1
                if media_dir.exists():
                    shutil.rmtree(media_dir, ignore_errors=True)
                if pending_dir.exists():
                    shutil.rmtree(pending_dir, ignore_errors=True)
            except Exception:
                pass

        # Enviar SMS de confirmació per a cada vídeo revocat
        try:
            import yaml

            config_path = base_dir / "config.yaml"
            user_sms_enabled = False
            if config_path.exists():
                with config_path.open("r", encoding="utf-8") as f:
                    cfg = yaml.safe_load(f) or {}
                validation_cfg = cfg.get("validation", {}) or {}
                user_sms_enabled = bool(validation_cfg.get("user_sms_enabled", False))

            if user_sms_enabled:
                from databases import log_action

                for sha1, phone in revoked_sha1s.items():
                    if not phone:
                        continue
                    try:
                        msg = (
                            "Els permisos per utilitzar el vostre vídeo han estat revocats. "
                            "Les dades associades han estat eliminades del sistema."
                        )
                        sms_ok = compliance_client.notify_user_video_approved(
                            phone=phone,
                            message=msg,
                            sha1sum=sha1,
                        )
                        if sms_ok:
                            try:
                                log_action(
                                    session=session_id or "",
                                    user="",  # desconegut en aquest context
                                    phone=phone,
                                    action="SMS sent to user for video revocation",
                                    sha1sum=sha1 or "",
                                )
                            except Exception:
                                pass
                    except Exception:
                        continue
        except Exception:
            pass

    try:
        import sqlite3

        with sqlite3.connect(str(videos_db)) as vconn:
            vconn.row_factory = sqlite3.Row
            cur = vconn.cursor()
            # Només si existeix columna 'session' i 'sha1sum'
            cur.execute("PRAGMA table_info(videos)")
            cols = cur.fetchall()
            col_names = [c[1] for c in cols]
            if "session" in col_names and "sha1sum" in col_names:
                cur.execute(
                    "SELECT DISTINCT sha1sum FROM videos WHERE session = ?",
                    (session_id,),
                )
                for r in cur.fetchall():
                    if r["sha1sum"]:
                        new_sha1s.add(str(r["sha1sum"]))
    except Exception:
        new_sha1s = set()

    if not new_sha1s:
        return events_digest_info

    temp_media_root = temp_root / "media"

    if data_origin == "internal":
        # Copiar carpetes de media noves a demo/data/media
        data_media_root = data_dir / "media"
        for sha1 in new_sha1s:
            src_dir = temp_media_root / sha1
            dst_dir = data_media_root / sha1
            if src_dir.exists():
                shutil.copytree(src_dir, dst_dir, dirs_exist_ok=True)
    else:
        # Crear un ZIP amb totes les carpetes de sha1sum i enviar-lo a export_media
        if api_client is None:
            return

        import tempfile

        try:
            with tempfile.TemporaryDirectory() as tmpdir:
                zip_path = Path(tmpdir) / "media_export.zip"
                with zipfile.ZipFile(zip_path, "w", zipfile.ZIP_DEFLATED) as zf:
                    for sha1 in new_sha1s:
                        src_dir = temp_media_root / sha1
                        if not src_dir.exists():
                            continue
                        for root, _, files in os.walk(src_dir):
                            root_path = Path(root)
                            for fname in files:
                                fpath = root_path / fname
                                rel_path = fpath.relative_to(temp_media_root)
                                zf.write(fpath, arcname=str(rel_path))

                zip_bytes = zip_path.read_bytes()
                api_client.export_media(zip_bytes)
        except Exception:
            return events_digest_info

    return events_digest_info