I-ALiRT: L0 parsing (IMAP-Science-Operations-Center#246)

* adding ialirt

imap_processing/ialirt/l0/decom_ialirt.py

@@ -0,0 +1,95 @@
+import collections
+import logging
+
+import xarray as xr
+
+from imap_processing.decom import decom_packets
+
+logging.basicConfig(level=logging.ERROR)
+logger = logging.getLogger(__name__)
+
+
+def generate_xarray(packet_file: str, xtce: str, time_keys=None):
+    """
+    Generate xarray from unpacked data.
+
+    Parameters
+    ----------
+    packet_file : str
+        Path to the CCSDS data packet file.
+    xtce : str
+        Path to the XTCE packet definition file.
+    time_keys : dict
+        Keys used for creating xarray dataset
+
+    Returns
+    -------
+    xr.Dataset
+        A dataset containing the decoded data fields with 'time' as the coordinating
+        dimension.
+
+    Example Output:
+    ---------------
+    # This is an example of what the xarray dataset might look like
+    # after being processed by this function.
+
+    <xarray.Dataset>
+    Dimensions:       (SC_SCLK_SEC: 5)
+    Coordinates:
+      * SC_SCLK_SEC   (SC_SCLK_SEC) int64 322168 322169 322170 322171 322172
+    Data variables:
+        SC_MAG_STATUS (SC_SCLK_SEC) int64 0 1 0 1 0
+        SC_HIT_STATUS (SC_SCLK_SEC) int64 1 0 1 0 1
+
+    This example shows a dataset with 'SC_SCLK_SEC' as the coordinate
+    and two data variables 'SC_MAG_STATUS' and 'SC_HIT_STATUS'.
+    """
+    packets = decom_packets(packet_file, xtce)
+
+    logger.info(f"Decommutated {len(packets)} packets from {packet_file}.")
+
+    if time_keys is None:
+        time_keys = {
+            "SC": "SC_SCLK_SEC",
+            "HIT": "HIT_SC_TICK",
+            "MAG": "MAG_ACQ",
+            "COD_LO": "COD_LO_ACQ",
+            "COD_HI": "COD_HI_ACQ",
+            "SWE": "SWE_ACQ_SEC",
+            "SWAPI": "SWAPI_ACQ",
+        }
+
+    instruments = list(time_keys.keys())
+
+    # Initialize storage dictionary using defaultdict
+    data_storage = {inst: collections.defaultdict(list) for inst in instruments}
+
+    for packet in packets:
+        for key, value in packet.data.items():
+            key_matched = False
+            for inst in instruments:
+                if key.startswith(inst):
+                    # Directly append to the list
+                    data_storage[inst][key].append(value.derived_value)
+                    key_matched = True
+                    break
+
+            if not key_matched:
+                # If after checking all instruments, none match, raise an error.
+                raise ValueError(f"Unexpected key '{key}' found in packet data.")
+
+    logger.info("Generating datasets for each instrument.")
+
+    # Generate xarray dataset for each instrument and spacecraft
+    datasets = {}
+    for inst in instruments:
+        dataset_dict = {
+            key: (time_keys[inst], data_storage[inst][key])
+            for key in data_storage[inst]
+            if key != time_keys[inst]
+        }
+        datasets[inst] = xr.Dataset(
+            dataset_dict, coords={time_keys[inst]: data_storage[inst][time_keys[inst]]}
+        )
+
+    return datasets