Fits meta

docs/user-guide/index.rst

@@ -12,6 +12,7 @@ For more details checkout the :ref:`reference`.
 
    Brief Tour <tour>
    data
+   raw
    level0
    spectrum
    customization

docs/user-guide/level0.rst

@@ -6,36 +6,72 @@ Level 0 Data
 
 Overview
 ========
-This section document the format of the level 0 binary files.
-Level 0 binary files are raw telemetry or command response packets generated by the instrument.
-
-
-Photon Packet
--------------
-The packet which provides individual hit data or photons for each detector.
-
-+-------------+-----------+--------+------------------------------------------------------------+
-| Name        | Bit Size  | Type   | Description                                                |
-+=============+===========+========+============================================================+
-| HEADER WORD | 16        | UINT   | value is always 65131                                      |
-+-------------+-----------+--------+------------------------------------------------------------+
-| FLAGS       | 16        | UNIT   | various flags, To be defined                               |
-+-------------+-----------+--------+------------------------------------------------------------+
-| Packet Size | 16        | UINT   | The size of the packet which can be used to determine the  |
-|             |           |        | number of hits included in the packet                      |
-+-------------+-----------+--------+------------------------------------------------------------+
-| Time Stamp  | 48        | UINT   |                                                            |
-+-------------+-----------+--------+------------------------------------------------------------+
-| Checksum    | 16        | UINT   | For data integrity                                         |
-+-------------+-----------+--------+------------------------------------------------------------+
-| Pixel data  |           |        | This field is repeated based on the number of hits detected|
-+-------------+-----------+--------+------------------------------------------------------------+
-
-
-+-------------+-----------+--------+------------------------------------------------------------+
-| Pixel Data  |           |        |                                                            |
-+-------------+-----------+--------+------------------------------------------------------------+
-| Detector id | 16        | UINT   | The detector id for the location of the hit                |
-+-------------+-----------+--------+------------------------------------------------------------+
-| Hit energy  | 16        | UINT   | The ADC value for the energy of the hit                    |
-+-------------+-----------+--------+------------------------------------------------------------+
+Level 0 data are provided in the `FITS file <https://fits.gsfc.nasa.gov/>`__ format.
+For more information on how to read or write FITS file see `astropy.fits <https://docs.astropy.org/en/stable/io/fits/index.html>`__.
+This section describes the organization the level 0 FITS files.
+Level 0 fits files generally include the unconverted data from the raw binary files of ccsds packets.
+The purpose of these files is to provide the raw data from the raw binary files in a more convinient form for analysis.
+It also provides metadata information which summary the data in the file.
+
+Level 0 event files
+-------------------
+
+This file contains the data from all events that triggered the detectors.
+They consist of 3 HDUs including the primary HDU.
+The primary HDU contains no data and is only used for metadata.
+The two other HDUs are named `SCI` and `PKT`.
+`SCI` includes the event data while `PKT` includes the packet data.
+Each data packet may include one of more event therefore there is a one to many relationship between them.
+In order to understand the relationship between the events and packets, each event provides the associated packet sequence number.
+This sequence number can be used to lookup the packet data for that event.
+
+Primary HDU
+***********
+No data is provided.
+Stay tuned for a list of metadata 
+
+PKT HDU
+*******
+The following columns are provided for each data packet.
+The bits column provide the number of significant bits and not the bit length of the column itself.
+The columns in the FITS file are provided in the smallest possible data type.
+
+======== ============================================= ====
+name                                                   bits
+======== ============================================= ====
+seqcount packet sequence number, should be consecutive   12
+pkttimes the packet time in seconds since EPOCH          32
+pktclock the packet subsecond time in clocks             32
+livetime live time                                       16
+inttime  integration time in real time                   16
+flags    flags                                           16
+======== ============================================= ====
+
+SCI HDU
+*******
+The following columns are provided for each event or photon detected.
+The bits column provide the number of significant bits and not the bit length of the column itself.
+The columns in the FITS file are provided in the smallest possible data type.
+
+======== ============================================================================================ ====
+name     description                                                                                  bits
+======== ============================================================================================ ====
+seqcount packet sequence number                                                                       12
+clocks   the clock number                                                                             16
+asic     the asic number or detector id                                                                3
+channel  the asic channel which is related to the pixel                                                5
+atod     the uncalibrated energy of the event in ADC counts                                           12
+baseline the baseline measurement if exists, otherwise all zeros                                      12
+pkttimes the packet time in seconds since EPOCH, also exists in PKT,                                  32
+pktclock the packet time in clocks since EPOCH, also exists in PKT                                    32
+======== ============================================================================================ ====
+
+Level 0 spectrum files
+----------------------
+Summary spectra are created for 24 pixels at a regular cadence (normally every 10 s)
+Each spectrum has a total of 512 energy bins.
+
+Level 0 housekeeping files
+--------------------------
+These files contain housekeeping data as described in the housekeeping packet.
+It also includes any register read responses that may exist during that time period.

docs/user-guide/raw.rst

@@ -0,0 +1,41 @@
+.. _raw:
+
+***************
+Raw Binary Data
+***************
+
+Overview
+========
+This section document the format of the raw binary files.
+Level 0 binary files are raw telemetry or command response packets generated by the instrument.
+
+
+Photon Packet
+-------------
+The packet which provides individual hit data or photons for each detector.
+
++-------------+-----------+--------+------------------------------------------------------------+
+| Name        | Bit Size  | Type   | Description                                                |
++=============+===========+========+============================================================+
+| HEADER WORD | 16        | UINT   | value is always 65131                                      |
++-------------+-----------+--------+------------------------------------------------------------+
+| FLAGS       | 16        | UNIT   | various flags, To be defined                               |
++-------------+-----------+--------+------------------------------------------------------------+
+| Packet Size | 16        | UINT   | The size of the packet which can be used to determine the  |
+|             |           |        | number of hits included in the packet                      |
++-------------+-----------+--------+------------------------------------------------------------+
+| Time Stamp  | 48        | UINT   |                                                            |
++-------------+-----------+--------+------------------------------------------------------------+
+| Checksum    | 16        | UINT   | For data integrity                                         |
++-------------+-----------+--------+------------------------------------------------------------+
+| Pixel data  |           |        | This field is repeated based on the number of hits detected|
++-------------+-----------+--------+------------------------------------------------------------+
+
+
++-------------+-----------+--------+------------------------------------------------------------+
+| Pixel Data  |           |        |                                                            |
++-------------+-----------+--------+------------------------------------------------------------+
+| Detector id | 16        | UINT   | The detector id for the location of the hit                |
++-------------+-----------+--------+------------------------------------------------------------+
+| Hit energy  | 16        | UINT   | The ADC value for the energy of the hit                    |
++-------------+-----------+--------+------------------------------------------------------------+

padre_meddea/__init__.py

@@ -2,6 +2,8 @@
 import os
 from pathlib import Path
 
+from astropy.time import Time
+
 try:
     from ._version import version as __version__
     from ._version import version_tuple
@@ -31,9 +33,6 @@
 _data_directory = _package_directory / "data"
 _test_files_directory = _package_directory / "data" / "test"
 
-MISSION_NAME = "PADRE"
-INSTRUMENT_NAME = "MeDDEA"
-
 # the ratio of detector area for large pixels versus small pixels
 RATIO_TOTAL_LARGE_TO_SMALL_PIX = 0.947
 
@@ -63,4 +62,13 @@
     10.73,
 ]
 
+APID = {
+    "spectrum": 0xA2,  # decimal 162
+    "photon": 0xA0,  # decimal 160
+    "housekeeping": 0xA3,  # decimal 163
+    "cmd_resp": 0x99,  # decimal 153
+}
+
+EPOCH = Time("2000-01-01 00:00", scale="utc")
+
 log.debug(f"padre_meddea version: {__version__}")

padre_meddea/calibration/calibration.py

@@ -14,10 +14,15 @@
 
 import padre_meddea
 from padre_meddea import log
-from padre_meddea.io import file_tools
+from padre_meddea.io import file_tools, fits_tools
 
-from padre_meddea.util.util import create_science_filename
+from padre_meddea.util.util import create_science_filename, calc_time
 from padre_meddea.io.file_tools import read_raw_file
+from padre_meddea.io.fits_tools import (
+    add_process_info_to_header,
+    get_primary_header,
+    get_std_comment,
+)
 
 __all__ = [
     "process_file",
@@ -45,25 +50,39 @@
     # Check if the LAMBDA_ENVIRONMENT environment variable is set
     lambda_environment = os.getenv("LAMBDA_ENVIRONMENT")
     output_files = []
+    file_path = Path(filename)
 
-    if filename.suffix == ".bin":
-        parsed_data = read_raw_file(filename)
+    if file_path.suffix == ".bin":
+        parsed_data = read_raw_file(file_path)
         if parsed_data["photons"] is not None:  # we have event list data
-            ph_list = parsed_data["photons"]
-            hdu = fits.PrimaryHDU(data=None)
-            hdu.header["DATE"] = (Time.now().fits, "FITS file creation date in UTC")
-            fits_meta = read_fits_keyword_file(
-                padre_meddea._data_directory / "fits_keywords_primaryhdu.csv"
+            event_list, pkt_list = parsed_data["photons"]
+            primary_hdr = get_primary_header()
+            primary_hdr = add_process_info_to_header(primary_hdr)
+            primary_hdr["LEVEL"] = (0, get_std_comment("LEVEL"))
+            primary_hdr["DATATYPE"] = ("event_list", get_std_comment("DATATYPE"))
+            primary_hdr["ORIGAPID"] = (
+                padre_meddea.APID["photon"],
+                get_std_comment("ORIGAPID"),
             )
-            for row in fits_meta:
-                hdu.header[row["keyword"]] = (row["value"], row["comment"])
-            bin_hdu = fits.BinTableHDU(data=Table(ph_list))
-            hdul = fits.HDUList([hdu, bin_hdu])
+            primary_hdr["ORIGFILE"] = (file_path.name, get_std_comment("ORIGFILE"))
+
+            for this_keyword in ["DATE-BEG", "DATE-END", "DATE-AVG"]:
+                primary_hdr[this_keyword] = (
+                    event_list.meta.get(this_keyword, ""),
+                    get_std_comment(this_keyword),
+                )
+
+            empty_primary_hdu = fits.PrimaryHDU(header=primary_hdr)
+            pkt_hdu = fits.BinTableHDU(pkt_list, name="PKT")
+            pkt_hdu.add_checksum()
+            hit_hdu = fits.BinTableHDU(event_list, name="SCI")
+            hit_hdu.add_checksum()
+            hdul = fits.HDUList([empty_primary_hdu, hit_hdu, pkt_hdu])
 
             path = create_science_filename(
                 "meddea",
-                ph_list["time"][0].fits,
-                "l1",
+                time=primary_hdr["DATE-BEG"],
+                level="l1",
                 descriptor="eventlist",
                 test=True,
                 version="0.1.0",
@@ -77,21 +96,89 @@
 
             # Write the file, with the overwrite option controlled by the environment variable
             hdul.writeto(path, overwrite=overwrite)
-
             # Store the output file path in a list
-            output_files = [path]
+            output_files.append(path)
         if parsed_data["housekeeping"] is not None:
             hk_data = parsed_data["housekeeping"]
-            hk_data.meta["INSTRUME"] = "meddea"
-
-            if "CHECKSUM" in hk_data.colnames:
-                hk_data.remove_column("CHECKSUM")
-
+            # send data to AWS Timestream for Grafana dashboard
             record_timeseries(hk_data, "housekeeping")
+            hk_table = Table(hk_data)
+
+            primary_hdr = get_primary_header()
+            primary_hdr = add_process_info_to_header(primary_hdr)
+            primary_hdr["LEVEL"] = (0, get_std_comment("LEVEL"))
+            primary_hdr["DATATYPE"] = ("housekeeping", get_std_comment("DATATYPE"))
+            primary_hdr["ORIGAPID"] = (
+                padre_meddea.APID["housekeeping"],
+                get_std_comment("ORIGAPID"),
+            )
+            primary_hdr["ORIGFILE"] = (file_path.name, get_std_comment("ORIGFILE"))
+
+            date_beg = calc_time(hk_data["timestamp"][0])
+            primary_hdr["DATEREF"] = (date_beg.fits, get_std_comment("DATEREF"))
+
+            hk_table["seqcount"] = hk_table["CCSDS_SEQUENCE_COUNT"]
+            colnames_to_remove = [
+                "CCSDS_VERSION_NUMBER",
+                "CCSDS_PACKET_TYPE",
+                "CCSDS_SECONDARY_FLAG",
+                "CCSDS_SEQUENCE_FLAG",
+                "CCSDS_APID",
+                "CCSDS_SEQUENCE_COUNT",
+                "CCSDS_PACKET_LENGTH",
+                "CHECKSUM",
+                "time",
+            ]
+            for this_col in colnames_to_remove:
+                if this_col in hk_table.colnames:
+                    hk_table.remove_column(this_col)
+
+            empty_primary_hdu = fits.PrimaryHDU(header=primary_hdr)
+            hk_hdu = fits.BinTableHDU(data=hk_table, name="HK")
+            hk_hdu.add_checksum()
+
+            # add command response data if it exists
+            if parsed_data["cmd_resp"] is not None:
+                data_ts = parsed_data["cmd_resp"]
+                this_header = fits.Header()
+                this_header["DATEREF"] = (
+                    data_ts.time[0].fits,
+                    get_std_comment("DATEREF"),
+                )
+                record_timeseries(data_ts, "housekeeping")
+                data_table = Table(data_ts)
+                colnames_to_remove = [
+                    "CCSDS_VERSION_NUMBER",
+                    "CCSDS_PACKET_TYPE",
+                    "CCSDS_SECONDARY_FLAG",
+                    "CCSDS_SEQUENCE_FLAG",
+                    "CCSDS_APID",
+                    "CCSDS_SEQUENCE_COUNT",
+                    "CCSDS_PACKET_LENGTH",
+                    "CHECKSUM",
+                    "time",
+                ]
+                for this_col in colnames_to_remove:
+                    if this_col in hk_table.colnames:
+                        data_table.remove_column(this_col)
+                cmd_hdu = fits.BinTableHDU(data=data_table, name="READ")
+                cmd_hdu.add_checksum()
+            else:  # if None still end an empty Binary Table
+                this_header = fits.Header()
+                cmd_hdu = fits.BinTableHDU(data=None, header=this_header, name="READ")
+            hdul = fits.HDUList([empty_primary_hdu, hk_hdu, cmd_hdu])
 
-    #  calibrated_file = calibrate_file(data_filename)
-    #  data_plot_files = plot_file(data_filename)
-    #  calib_plot_files = plot_file(calibrated_file)
+            path = create_science_filename(
+                time=date_beg,
+                level="l1",
+                descriptor="hk",
+                test=True,
+                version="0.1.0",
+            )
+            hdul.writeto(path, overwrite=overwrite)
+            output_files.append(path)
+        if parsed_data["spectra"] is not None:
+            spec_data = parsed_data["spectra"]
 
     # add other tasks below
     return output_files
@@ -146,12 +233,3 @@
     # if can't read the file
 
     return None
-
-
-def read_fits_keyword_file(csv_file: Path):
-    """Read csv file with default fits metadata information."""
-    fits_meta_table = ascii.read(
-        padre_meddea._data_directory / "fits_keywords_primaryhdu.csv",
-        format="csv",
-    )
-    return fits_meta_table

padre_meddea/data/README.rst

@@ -39,3 +39,5 @@ Stores detector constants.
 hk_channel_defs.csv
 -------------------
 Stores the definitions for the values provided in housekeeping packets.
+
+fits_

padre_meddea/data/calibration/README.rst

@@ -1,4 +1,4 @@
-Calbiration directory
+Calibration directory
 =====================
 
 This directory contains calibration files included with the package source