{
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   "source": [
    "# Injecting calibration constant data to the database #\n",
    "\n",
    "Author: European XFEL Detector Group, Version: 1.0\n",
    "\n",
    "Reading h5files of calibration constants to inject them to the database. Used for LPD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# calibration constant parameters:\n",
    "constant_names = [\"\"]  # calibration constant name, required.\n",
    "in_folder = \"\"  # calibration constants folder, required.\n",
    "out_folder = \"\"  # output folder to store report path in case the notebook is executed by CLI, required.\n",
    "proposal = \"\"  # Add proposal number to be sent to the database as a part of Raw data location.\n",
    "runs = [\"\"]  # Add list of runs to be sent to the database as a part of Raw data location.\n",
    "\n",
    "# detector parameters:\n",
    "karabo_id = \"FXE_DET_LPD1M-1\"  # detector identifier.\n",
    "karabo_da = [\"all\"]  # karabo data aggregators. default \"all\" for all 16 karabo data aggregator names.\n",
    "\n",
    "# calibration database parameters:\n",
    "cal_db_interface = \"tcp://max-exfl-cal001:8015#8045\"  # calibration DB zmq address.\n",
    "\n",
    "# calibration constant conditions:\n",
    "memory_cells = 512  # Number of memory cells. Used for constant conditions.\n",
    "bias_voltage = 250  # bias voltage value. Used for constant conditions.\n",
    "capacitor = 5  # capacitor value. Used for constant conditions.\n",
    "category = 0  # calibration constant source category, 0 for European XFEl and 1 for RAL. Used for constant conditions.\n",
    "photon_energy = 9.2  # calibration constant photon energy. Used for constant conditions.\n",
    "creation_time = '2020-01-20T14:12:06'  # creation time for the injected constants. required format '2019-01-20T14:12:06'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import multiprocessing  # noqa\n",
    "from datetime import datetime  # noqa\n",
    "from pathlib import Path  # noqa\n",
    "from typing import List, Tuple  # noqa\n",
    "\n",
    "import h5py # noqa \n",
    "from cal_tools.tools import get_pdu_from_db, get_report, send_to_db  # noqa\n",
    "from iCalibrationDB import Conditions, Constants  # noqa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pixels_x = pixels_y = 256\n",
    "\n",
    "if karabo_da[0].lower() == \"all\":\n",
    "    karabo_da = [f\"LPD{i:02d}\" for i in range(16)]\n",
    "\n",
    "# if proposal or runs are given assign file_loc\n",
    "# for calibration constant versions metadata.\n",
    "file_loc = \"\"\n",
    "if proposal:\n",
    "    file_loc += f\"proposal:{proposal}\"\n",
    "if runs[0] != \"\":\n",
    "    file_loc += f\"runs: {runs}\"\n",
    "\n",
    "if file_loc == \"\":\n",
    "    print(\n",
    "        \"No proposal or runs were given for constant source.\"\n",
    "        \" No \\\"Raw data location\\\" will be injected with the constants.\\n\"\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def validate_input_paths(\n",
    "    in_folder: str,\n",
    "    creation_time: str,\n",
    "    constant_names: List[str],\n",
    ") -> Tuple[str, datetime]:\n",
    "\n",
    "    # Validate input parameters:\n",
    "    if not (in_folder):\n",
    "        raise ValueError(\n",
    "            \"ERROR: \\\"in_folder\\\" is not given.\"\n",
    "            \" Please provide the constants input folder.\"\n",
    "        )\n",
    "\n",
    "    c_folder = Path(in_folder)\n",
    "\n",
    "    if not c_folder.is_dir():\n",
    "        raise ValueError(\n",
    "            f\"ERROR: in_folder {in_folder} directory doesn't exist.\"\n",
    "        )\n",
    "\n",
    "    try:\n",
    "        creation_time = datetime.strptime(creation_time, '%Y-%m-%dT%H:%M:%S')\n",
    "    except ValueError:\n",
    "        raise ValueError(\n",
    "            \"Incorrect data format, \"\n",
    "            \"should be YYYY-MM-DDTHH:MM:SS i.e. 2019-01-20T14:12:06\"\n",
    "        )\n",
    "\n",
    "    for constant in constant_names:\n",
    "        if not hasattr(Constants.LPD, constant):\n",
    "            raise ValueError(\n",
    "                f\"ERROR: Constant name \\\"{constant}\\\" is not a known LPD constant. \"\n",
    "                f\"Available LPD Constants are {[c for c in dir(Constants.LPD) if c[0] != '_']}\"\n",
    "            )\n",
    "    return c_folder, creation_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def inject_constants(\n",
    "    constant_name: str,\n",
    "    karabo_da: str,\n",
    "    physical_unit: str,\n",
    "):\n",
    "    constant = getattr(Constants.LPD, constant_name)()\n",
    "\n",
    "    cfile = c_folder / f\"{constant_name}_{karabo_da}.h5\"\n",
    "\n",
    "    if not cfile.exists():\n",
    "        raise ValueError(f\"ERROR: constant file {cfile} doesn't exists.\\n\")\n",
    "\n",
    "    # load constant data.\n",
    "    with h5py.File(cfile, \"r\") as f:\n",
    "        cdata = f[constant_name][()]\n",
    "\n",
    "    # Validate for only LPD at the moment.\n",
    "    if not cdata.shape == (pixels_x, pixels_y, memory_cells, 3):\n",
    "        raise ValueError(\n",
    "            f\"ERROR: {const} constant data shape is not as expected.\"\n",
    "            f\" {cdata.shape} != ({pixels_x}, {pixels_y}, {memory_cells}, 3).\\n\"\n",
    "        )\n",
    "\n",
    "    constant.data = cdata\n",
    "\n",
    "    send_to_db(\n",
    "        db_module=physical_unit,\n",
    "        karabo_id=karabo_id,\n",
    "        constant=constant,\n",
    "        condition=condition,\n",
    "        file_loc=file_loc,\n",
    "        report_path=report_path,\n",
    "        cal_db_interface=cal_db_interface,\n",
    "        creation_time=creation_time,\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "c_folder, creation_time = validate_input_paths(\n",
    "    in_folder,\n",
    "    creation_time,\n",
    "    constant_names,\n",
    ")\n",
    "\n",
    "# create a report path for calibration constant versions metadata.\n",
    "report_name = f\"No_report/LPD_{datetime.now().strftime('%Y-%m-%dT%H:%M:%S')}\"\n",
    "report_path = get_report(\n",
    "    out_folder=in_folder,\n",
    "    default_path=report_name\n",
    ")\n",
    "\n",
    "# Calibration constants condition object.\n",
    "condition = Conditions.Illuminated.LPD(\n",
    "    memory_cells=memory_cells,\n",
    "    bias_voltage=bias_voltage,\n",
    "    photon_energy=photon_energy,\n",
    "    pixels_x=pixels_x,\n",
    "    pixels_y=pixels_y,\n",
    "    capacitor=capacitor,\n",
    "    category=category,\n",
    ")\n",
    "\n",
    "# Retrieve all physical detector units for the given karabo_da list.\n",
    "physical_units = get_pdu_from_db(\n",
    "    karabo_id=karabo_id,\n",
    "    karabo_da=karabo_da,\n",
    "    constant=getattr(Constants.LPD, constant_names[0])(),\n",
    "    condition=condition,\n",
    "    cal_db_interface=cal_db_interface,\n",
    "    snapshot_at=creation_time\n",
    ")\n",
    "\n",
    "mod_mapping = dict(zip(karabo_da, physical_units))\n",
    "print(\"Physical detector units retrieved are: \", mod_mapping, \"\\n\")\n",
    "\n",
    "inp = []\n",
    "for const in constant_names:\n",
    "    for k_da, pdu in mod_mapping.items():\n",
    "        inp.append((const, k_da, pdu))\n",
    "\n",
    "with multiprocessing.Pool(processes=5) as pool:\n",
    "    results = pool.starmap(inject_constants, inp)"
   ]
  }
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