From 935bf92d70e216dfc2ad76af88a11bbaa982a5d6 Mon Sep 17 00:00:00 2001
From: jlaura <jlaura@usgs.gov>
Date: Thu, 22 Mar 2018 15:16:00 -0700
Subject: [PATCH] Updates for ISD Generation (#28)

* Makes gdal an optional dependency

* Refactors all bae I/O into a single namespace.

* typos

* Fixes the gdal dependency test

* Adds tests for the JSON

* Tests fail without test data

* Updates for comments from @thareUSGS

* Adds ISIS3 V2 ControlNetwork Reader
---
 plio/__init__.py                              |   2 +-
 plio/examples/ControlNetworks/apollo_out.net  | Bin 0 -> 253999 bytes
 plio/examples/SocetSet/ellipsoid.ell          |   2 +
 plio/examples/SocetSet/socet_isd.lis          | 940 ++++++++++++++++++
 plio/io/{io_gpf.py => io_bae.py}              | 225 +++--
 plio/io/io_controlnetwork.py                  |  88 +-
 plio/io/io_gdal.py                            |  21 +-
 plio/io/io_moon_minerology_mapper.py          |  11 +-
 plio/io/io_multibandimager.py                 |  18 +-
 .../tests/{test_io_gpf.py => test_io_bae.py}  |  19 +-
 plio/io/tests/test_io_controlnetwork.py       |  14 +
 plio/io/tests/test_io_gdal.py                 |   9 +
 12 files changed, 1212 insertions(+), 137 deletions(-)
 create mode 100644 plio/examples/ControlNetworks/apollo_out.net
 create mode 100644 plio/examples/SocetSet/ellipsoid.ell
 create mode 100644 plio/examples/SocetSet/socet_isd.lis
 rename plio/io/{io_gpf.py => io_bae.py} (62%)
 rename plio/io/tests/{test_io_gpf.py => test_io_bae.py} (65%)

diff --git a/plio/__init__.py b/plio/__init__.py
index 3e4efb6..34ae0a4 100755
--- a/plio/__init__.py
+++ b/plio/__init__.py
@@ -1,4 +1,4 @@
-__version__ = "0.1.1"
+__version__ = "0.1.2"
 
 # Submodule imports
 from . import io
diff --git a/plio/examples/ControlNetworks/apollo_out.net b/plio/examples/ControlNetworks/apollo_out.net
new file mode 100644
index 0000000000000000000000000000000000000000..3ecfc3359902feab8df3751bdde402de63c1bb54
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diff --git a/plio/examples/SocetSet/ellipsoid.ell b/plio/examples/SocetSet/ellipsoid.ell
new file mode 100644
index 0000000..4126e38
--- /dev/null
+++ b/plio/examples/SocetSet/ellipsoid.ell
@@ -0,0 +1,2 @@
+SEMI_MAJOR_AXIS 3.39619000000000e+006
+ECCENTRICITY 1.08339143554195e-001
\ No newline at end of file
diff --git a/plio/examples/SocetSet/socet_isd.lis b/plio/examples/SocetSet/socet_isd.lis
new file mode 100644
index 0000000..608cc1c
--- /dev/null
+++ b/plio/examples/SocetSet/socet_isd.lis
@@ -0,0 +1,940 @@
+RECTIFICATION_TERMS
+        9.21600000000000e+03 0.00000000000000e+00 1.00000000000000e+00
+        2.50000000000000e+03 1.00000000000000e+00 0.00000000000000e+00
+GROUND_ZERO 3.24985706836655e-01 1.35170258031137e+00 0.00000000000000e+00
+LOAD_PT 3.24985706836655e-01 1.35170258031137e+00 0.00000000000000e+00
+COORD_SYSTEM 1
+IMAGE_MOTION 0
+SENSOR_TYPE USGSAstroLineScanner
+SENSOR_MODE UNKNOWN
+SEMI_MAJOR_AXIS 3.39619000000000e+006
+ECCENTRICITY 1.08339143554195e-001
+FOCAL 3.52927166400000e+02
+ATMCO 0.00000000000000e+00 0.00000000000000e+00 0.00000000000000e+00 0.00000000000000e+00
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+IOCOEF_SAMPLE 2.50000000000000e+03 0.00000000000000e+00 1.42857142857143e+02 0.00000000000000e+00 0.00000000000000e+00 0.00000000000000e+00 0.00000000000000e+00 0.00000000000000e+00 0.00000000000000e+00 0.00000000000000e+00
+ABERR    0
+ATMREF   0
+PLATFORM   1
+SOURCE_FLAG  1
+SINGLE_EPHEMERIDE  0
+TRI_PARAMETERS
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+T_CENTER  0.0000000000000000000000000e+00
+DT_EPHEM  1.6396618009478672317591474e-01
+T0_EPHEM  -1.8856110692024230957031250e+01
+NUMBER_OF_EPHEM   231
+EPHEM_PTS
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+ 4.5621691204552705656283251e-01 -6.5683550438510496238819769e-01 2.2427785520361701032676649e-01 5.5689558537312378039274563e-01
+ 4.5623385024629836692611207e-01 -6.5685458181468203697761510e-01 2.2425755674564759600819741e-01 5.5686738141228042664465647e-01
+ 4.5625140897407429063648010e-01 -6.5687364446166796039250357e-01 2.2423721941086730002901106e-01 5.5683869877344260856943947e-01
+ 4.5626914410262131571727195e-01 -6.5689086776841598691589752e-01 2.2421644530449530430260552e-01 5.5681221398002311850916612e-01
+ 4.5628701722280984309776386e-01 -6.5690665109628831874744037e-01 2.2419532925987400995282428e-01 5.5678744956888848172127382e-01
+ 4.5630562338491498231007881e-01 -6.5692179244110915359300407e-01 2.2417339407304159859535275e-01 5.5676316874685372049214038e-01
+ 4.5632594081366911753505633e-01 -6.5693543729993897350993848e-01 2.2414954810852108502139401e-01 5.5674001746129553325204142e-01
+ 4.5634621881306752788631798e-01 -6.5694926064751568706157059e-01 2.2412578442792893684831768e-01 5.5671665168581419003146493e-01
+ 4.5636555234742914866075125e-01 -6.5696747345736394851911655e-01 2.2410403917246327076817636e-01 5.5668806442770157882904414e-01
+ 4.5638488486059913817882716e-01 -6.5698568508282917388640954e-01 2.2408229365091977824953062e-01 5.5665947592685982581173221e-01
+ 4.5640421737376912769690307e-01 -6.5700389670829439925370252e-01 2.2406054812937628573088489e-01 5.5663088742601807279442028e-01
+ 4.5642354988693911721497898e-01 -6.5702210833375962462099551e-01 2.2403880260783279321223915e-01 5.5660229892517631977710835e-01
+ 4.5644288240010910673305489e-01 -6.5704031995922484998828850e-01 2.2401705708628930069359342e-01 5.5657371042433456675979642e-01
+ 4.5646221491327909625113080e-01 -6.5705853158469007535558148e-01 2.2399531156474580817494768e-01 5.5654512192349281374248449e-01
+ 4.5648154742644908576920670e-01 -6.5707674321015530072287447e-01 2.2397356604320231565630195e-01 5.5651653342265106072517256e-01
+ 4.5650087993961907528728261e-01 -6.5709495483562052609016746e-01 2.2395182052165882313765621e-01 5.5648794492180930770786063e-01
+ 4.5652021245278906480535852e-01 -6.5711316646108575145746045e-01 2.2393007500011533061901048e-01 5.5645935642096755469054870e-01
+ 4.5653954496595905432343443e-01 -6.5713137808655097682475343e-01 2.2390832947857183810036474e-01 5.5643076792012580167323677e-01
+ 4.5655887747912904384151034e-01 -6.5714958971201620219204642e-01 2.2388658395702834558171901e-01 5.5640217941928404865592483e-01
+ 4.5657820999229903335958625e-01 -6.5716780133748142755933941e-01 2.2386483843548485306307327e-01 5.5637359091844229563861290e-01
+
+
+SCAN_DURATION 3.4596863999999996508449840e+01
+INT_TIME 1.8769999999999999792249517e-03
+
+ALONG_SCAN_PIXEL_SIZE  7.0946954300014925670625487e-03
+CROSS_SCAN_PIXEL_SIZE  7.0000000000000001457167720e-03
+
+CENTER_GP 3.2498570683665473080026231e-01 1.3517025803113738025018620e+00 0.0000000000000000000000000e+00
+SENSOR_POSITION 3.2210702957228665166411474e-01 1.3229232300623343654422115e+00 2.7834964551140909316018224e+05
+MOUNTING_ANGLES 0.0000000000000000000000000e+00 0.0000000000000000000000000e+00 0.0000000000000000000000000e+00
+
+TOTAL_LINES 18432
+TOTAL_SAMPLES 5000
+
+
+
+
+IKCODE  -74021
+ISIS_Z_DIRECTION  1.0000000000000000000000000e+00
+OPTICAL_DIST_COEF -7.3433925920054999789132744e-03 2.8375878636241700514334166e-05 1.2841989124027100312193378e-08
+ITRANSS 0.0000000000000000000000000e+00 0.0000000000000000000000000e+00 1.4285714285713999061044888e+02
+ITRANSL 0.0000000000000000000000000e+00 1.4285714285713999061044888e+02 0.0000000000000000000000000e+00
+DETECTOR_SAMPLE_ORIGIN 2.5434609900000000379804987e+03
+DETECTOR_LINE_ORIGIN 4.3044252700000001921054604e-01
+DETECTOR_LINE_OFFSET  0.0000000000000000000000000e+00
+DETECTOR_SAMPLE_SUMMING  1.0000000000000000000000000e+00
+STARTING_SAMPLE 1.0000000000000000000000000e+00
+STARTING_LINE 1.0000000000000000000000000e+00
+STARTING_EPHEMERIS_TIME 5.1736275422839599847793579e+08
+CENTER_EPHEMERIS_TIME 5.1736277152588951587677002e+08
\ No newline at end of file
diff --git a/plio/io/io_gpf.py b/plio/io/io_bae.py
similarity index 62%
rename from plio/io/io_gpf.py
rename to plio/io/io_bae.py
index ae507ea..e0c3d4f 100644
--- a/plio/io/io_gpf.py
+++ b/plio/io/io_bae.py
@@ -1,88 +1,139 @@
+import json
+import re
+
 import numpy as np
-import pandas as pd
-
-def read_gpf(input_data):
-    """
-    Read a socet gpf file into a pandas data frame
-
-    Parameters
-    ----------
-    input_file : str
-                 path to the input data file
-
-    Returns
-    -------
-    df : pd.DataFrame
-         containing the gpf data with appropriate column names and indices
-    """
-
-    # Check that the number of rows is matching the expected number
-    with open(input_data, 'r') as f:
-        for i, l in enumerate(f):
-            if i == 1:
-                cnt = int(l)
-            elif i == 2:
-                col = l
-                break
-
-    # Mixed types requires read as unicode - let pandas soft convert
-    d = np.genfromtxt(input_data, skip_header=3, dtype='unicode')
-    d = d.reshape(-1, 12)
-
-    #TODO: cols should be used to dynamically generate the column names
-
-    df = pd.DataFrame(d, columns=['point_id', 'stat', 'known',
-                              'lat_Y_North', 'long_X_East','ht',
-                              'sigma0', 'sigma1', 'sigma2',
-                              'res0', 'res1', 'res2'])
-
-    # Soft conversion of numeric types to numerics, allows str in first col for point_id
-    df = df.apply(pd.to_numeric, errors='ignore')
-
-    # Validate the read data with the header point count
-    assert int(cnt) == len(df)
-
-    return df
-
-def save_gpf(df, output_file):
-    """
-    Write a socet gpf file from a gpf-defined pandas dataframe
-
-    Parameters
-    ----------
-    df          : pd.DataFrame
-                  Pandas DataFrame
-
-    output_file : str
-                  path to the output data file
-
-    Returns
-    -------
-    int         : success value
-                  0 = success, 1 = errors
-    """
-
-    # Check that file can be opened
-    try:
-        outGPF = open(output_file, 'w', newline='\r\n')
-    except:
-        print ('Unable to open output gpf file: {0}'.format(output_file))
-        return 1
-
-    #grab number of rows in pandas dataframe
-    numpts = len(df)
-
-    #Output gpf header
-    outGPF.write('GROUND POINT FILE\n')
-    outGPF.write('{0}\n'.format(numpts))
-    outGPF.write('point_id,stat,known,lat_Y_North,long_X_East,ht,sig(3),res(3)\n')
-
-    for index,row in df.iterrows():
-        #Output coordinates to gpf file
-        outGPF.write('{0} {1} {2}\n'.format(row['point_id'], row['stat'], row['known']))
-        outGPF.write('{0}         {1}         {2}\n'.format(row['lat_Y_North'], row['long_X_East'], row['ht']))
-        outGPF.write('{0} {1} {2}\n'.format(row['sigma0'], row['sigma1'], row['sigma2']))
-        outGPF.write('{0} {1} {2}\n\n'.format(row['res0'], row['res1'], row['res2']))
-
-    outGPF.close()
-    return
+import pandas as pd
+
+def socetset_keywords_to_json(keywords, ell=None):
+    """
+    Convert a SocetCet keywords.list file to JSON
+
+    Parameters
+    ----------
+    keywords : str
+               Path to the socetset keywords.list file
+
+    Returns
+    -------
+     : str
+       The serialized JSON string.
+    """
+    matcher = re.compile(r'\b(?!\d)\w+\b')
+    numeric_matcher = re.compile(r'\W-?(?:0|[1-9]\d*)(?:\.\d*)?(?:[eE][+\-]?\d+)?')
+    stream = {}
+
+    def parse(fi):
+        with open(fi, 'r') as f:
+            for l in f:
+                l = l.rstrip()
+                if not l:
+                    continue
+                matches = matcher.findall(l)
+                if matches:
+                    key = matches[0]
+                    stream[key] = []
+                    # Case where the kw are strings after the key
+                    if len(matches) > 1:
+                        stream[key] = matches[1:]
+                    # Case where the kw are numeric types after the key
+                    else:
+                        nums = numeric_matcher.findall(l)
+                        if len(nums) == 1:
+                            stream[key] = float(nums[0])
+                        else:
+                            stream[key] += map(float, nums)
+                else:
+                    # Case where the values are on a newline after the key
+                    nums = numeric_matcher.findall(l)
+                    stream[key] += map(float, nums)
+    
+    parse(keywords)
+    if ell:
+        parse(ell)
+    return json.dumps(stream)
+    
+def read_gpf(input_data):
+    """
+    Read a socet gpf file into a pandas data frame
+
+    Parameters
+    ----------
+    input_file : str
+                 path to the input data file
+
+    Returns
+    -------
+    df : pd.DataFrame
+         containing the gpf data with appropriate column names and indices
+    """
+
+    # Check that the number of rows is matching the expected number
+    with open(input_data, 'r') as f:
+        for i, l in enumerate(f):
+            if i == 1:
+                cnt = int(l)
+            elif i == 2:
+                col = l
+                break
+
+    # Mixed types requires read as unicode - let pandas soft convert
+    d = np.genfromtxt(input_data, skip_header=3, dtype='unicode')
+    d = d.reshape(-1, 12)
+
+    #TODO: cols should be used to dynamically generate the column names
+
+    df = pd.DataFrame(d, columns=['point_id', 'stat', 'known',
+                              'lat_Y_North', 'long_X_East','ht',
+                              'sigma0', 'sigma1', 'sigma2',
+                              'res0', 'res1', 'res2'])
+
+    # Soft conversion of numeric types to numerics, allows str in first col for point_id
+    df = df.apply(pd.to_numeric, errors='ignore')
+
+    # Validate the read data with the header point count
+    assert int(cnt) == len(df)
+
+    return df
+
+def save_gpf(df, output_file):
+    """
+    Write a socet gpf file from a gpf-defined pandas dataframe
+
+    Parameters
+    ----------
+    df          : pd.DataFrame
+                  Pandas DataFrame
+
+    output_file : str
+                  path to the output data file
+
+    Returns
+    -------
+    int         : success value
+                  0 = success, 1 = errors
+    """
+
+    # Check that file can be opened
+    try:
+        outGPF = open(output_file, 'w', newline='\r\n')
+    except:
+        print ('Unable to open output gpf file: {0}'.format(output_file))
+        return 1
+
+    #grab number of rows in pandas dataframe
+    numpts = len(df)
+
+    #Output gpf header
+    outGPF.write('GROUND POINT FILE\n')
+    outGPF.write('{0}\n'.format(numpts))
+    outGPF.write('point_id,stat,known,lat_Y_North,long_X_East,ht,sig(3),res(3)\n')
+
+    for index,row in df.iterrows():
+        #Output coordinates to gpf file
+        outGPF.write('{0} {1} {2}\n'.format(row['point_id'], row['stat'], row['known']))
+        outGPF.write('{0}         {1}         {2}\n'.format(row['lat_Y_North'], row['long_X_East'], row['ht']))
+        outGPF.write('{0} {1} {2}\n'.format(row['sigma0'], row['sigma1'], row['sigma2']))
+        outGPF.write('{0} {1} {2}\n\n'.format(row['res0'], row['res1'], row['res2']))
+
+    outGPF.close()
+    return
\ No newline at end of file
diff --git a/plio/io/io_controlnetwork.py b/plio/io/io_controlnetwork.py
index b41ced3..87b877a 100644
--- a/plio/io/io_controlnetwork.py
+++ b/plio/io/io_controlnetwork.py
@@ -1,11 +1,11 @@
 from time import gmtime, strftime
 
+import pandas as pd
 import pvl
 
 from plio.io import ControlNetFileV0002_pb2 as cnf
-from plio.utils.utils import xstr
+from plio.utils.utils import xstr, find_in_dict
 
-VERSION = 2
 HEADERSTARTBYTE = 65536
 DEFAULTUSERNAME = 'None'
 
@@ -26,8 +26,24 @@ def write_filelist(lst, path="fromlist.lis"):
         handle.write('\n')
     return
 
+class IsisControlNetwork(pd.DataFrame):
 
-def to_isis(path, obj, serials, mode='wb', version=VERSION,
+    # normal properties
+    _metadata = ['header']
+
+    @property
+    def _constructor(self):
+        return IsisControlNetwork
+
+def from_isis(path, remove_empty=True):
+
+    # Now get ready to work with the binary
+    with IsisStore(path, mode='rb') as store:
+        df = store.read()
+
+    return df
+
+def to_isis(path, obj, serials, mode='wb', version=2,
             headerstartbyte=HEADERSTARTBYTE,
             networkid='None', targetname='None',
             description='None', username=DEFAULTUSERNAME,
@@ -111,10 +127,8 @@ def to_isis(path, obj, serials, mode='wb', version=VERSION,
                                          buffer_header_size, points_bytes,
                                          creation_date, modified_date)
 
-
         store.write(header)
 
-
 class IsisStore(object):
     """
     Class to manage IO of an ISIS control network (version 2).
@@ -136,6 +150,7 @@ class IsisStore(object):
               9: str,
               11: None,
               14: None}
+        self.header_attrs = [(i.name, bt[i.type]) for i in cnf._CONTROLNETFILEHEADERV0002.fields]
         self.point_attrs = [(i.name, bt[i.type]) for i in cnf._CONTROLPOINTFILEENTRYV0002.fields]
         self.measure_attrs = [(i.name, bt[i.type]) for i in cnf._CONTROLPOINTFILEENTRYV0002_MEASURE.fields]
 
@@ -147,11 +162,55 @@ class IsisStore(object):
 
         self._open()
 
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc_val, traceback):
+        self.close()
+
+    def close(self):
+        if self._handle is not None:
+            self._handle.close()
+        self._handle = None
+
     def _open(self):
-        if self._mode in ['wb', 'a']:
-            self._handle = open(self._path, self._mode)
-        else:
-            raise NotImplementedError
+        self._handle = open(self._path, self._mode)
+
+    def read(self):
+        """
+        Given an ISIS store, read the underlying ISIS3 compatible control network and
+        return an IsisControlNetwork dataframe.
+        """
+        pvl_header = pvl.load(self._path)
+        header_start_byte = find_in_dict(pvl_header, 'HeaderStartByte')
+        header_bytes = find_in_dict(pvl_header, 'HeaderBytes')
+        point_start_byte = find_in_dict(pvl_header, 'PointsStartByte')
+        version = find_in_dict(pvl_header, 'Version')
+        if version == 2:
+            point_attrs = [i for i in cnf._CONTROLPOINTFILEENTRYV0002.fields_by_name if i != 'measures']
+            measure_attrs = [i for i in cnf._CONTROLPOINTFILEENTRYV0002_MEASURE.fields_by_name]
+        
+        cols = point_attrs + measure_attrs
+
+        cp = cnf.ControlPointFileEntryV0002()
+        self._handle.seek(header_start_byte)
+        pbuf_header = cnf.ControlNetFileHeaderV0002()
+        pbuf_header.ParseFromString(self._handle.read(header_bytes))
+        
+        self._handle.seek(point_start_byte)
+        cp = cnf.ControlPointFileEntryV0002()
+        pts = []
+        for s in pbuf_header.pointMessageSizes:
+            cp.ParseFromString(self._handle.read(s))            
+            pt = [getattr(cp, i) for i in point_attrs if i != 'measures']
+
+            for measure in cp.measures:
+                meas = pt + [getattr(measure, j) for j in measure_attrs]
+                pts.append(meas)
+        df = IsisControlNetwork(pts, columns=cols)
+        df.header = pvl_header
+        return df
+
 
     def write(self, data, offset=0):
         """
@@ -358,14 +417,3 @@ class IsisStore(object):
         ])
 
         return pvl.dumps(header, cls=encoder)
-
-    def __enter__(self):
-        return self
-
-    def __exit__(self, exc_type, exc_val, traceback):
-        self.close()
-
-    def close(self):
-        if self._handle is not None:
-            self._handle.close()
-        self._handle = None
diff --git a/plio/io/io_gdal.py b/plio/io/io_gdal.py
index 5522171..0d44659 100644
--- a/plio/io/io_gdal.py
+++ b/plio/io/io_gdal.py
@@ -4,17 +4,22 @@ import os
 import warnings
 
 import affine
-import gdal
 import numpy as np
-import osr
 import pvl
-from osgeo import ogr
+try:
+    # Try the full GDAL stack
+    import gdal
+    from osgeo import ogr
+    import osr
+    gdal.UseExceptions()
+    has_gdal = True
+except:
+    has_gdal = False
 
 from plio.io import extract_metadata
 from plio.geofuncs import geofuncs
 from plio.utils.utils import find_in_dict
 
-gdal.UseExceptions()
 
 NP2GDAL_CONVERSION = {
   "uint8": 1,
@@ -153,6 +158,8 @@ class GeoDataset(object):
 
         """
         self.file_name = file_name
+        if not has_gdal:
+            raise ImportError('No module name gdal.')
         self.dataset = gdal.Open(file_name)
         if self.dataset is None:
           raise IOError('File not found :', file_name)
@@ -535,7 +542,8 @@ def array_to_raster(array, file_name, projection=None,
               A GDAL supported bittype, e.g. GDT_Int32
               Default: GDT_Float64
     """
-
+    if not has_gdal:
+        raise ImportError('No module named gdal.')
     driver = gdal.GetDriverByName(outformat)
     try:
         y, x, bands = array.shape
@@ -611,6 +619,9 @@ def match_rasters(match_to, match_from, destination,
     match_from__srs = match_from.dataset.GetProjection()
     match_from__gt = match_from.geotransform
 
+    if not has_gdal:
+        raise ImportError('No module named gdal.')
+
     dst = gdal.GetDriverByName('GTiff').Create(destination, width, height, 1,
                                                gdalconst.GDT_Float64)
 
diff --git a/plio/io/io_moon_minerology_mapper.py b/plio/io/io_moon_minerology_mapper.py
index 8bd7210..6a8ad1e 100644
--- a/plio/io/io_moon_minerology_mapper.py
+++ b/plio/io/io_moon_minerology_mapper.py
@@ -1,18 +1,17 @@
 import numpy as np
-from osgeo import gdal
+from .io_gdal import GeoDataset
 
 
-def openm3(input_data):
+def open(input_data):
     if input_data.split('.')[-1] == 'hdr':
         # GDAL wants the img, but many users aim at the .hdr
         input_data = input_data.split('.')[0] + '.img'
-    ds = gdal.Open(input_data)
-    ref_array = ds.GetRasterBand(1).ReadAsArray()
-    metadata = ds.GetMetadata()
+    ds = GeoDataSet(input_data)
+    ref_array = ds.read_array()
+    metadata = ds.metadata
     wv_array = metadatatoband(metadata)
     return wv_array, ref_array, ds
 
-
 def metadatatoband(metadata):
     wv2band = []
     for k, v in metadata.items():
diff --git a/plio/io/io_multibandimager.py b/plio/io/io_multibandimager.py
index 7e5ba26..4401adb 100644
--- a/plio/io/io_multibandimager.py
+++ b/plio/io/io_multibandimager.py
@@ -1,19 +1,9 @@
 import numpy as np
-from osgeo import gdal
-
-
-def openmi(input_data):
-    ds = gdal.Open(input_data)
-    band_pointers = []
-    nbands = ds.RasterCount
-
-    for b in xrange(1, nbands + 1):
-        band_pointers.append(ds.GetRasterBand(b))
-
-    ref_array = ds.GetRasterBand(1).ReadAsArray()
-    wv_array = None
-    return wv_array, ref_array[::3, ::3], ds
+from .io_gdal import GeoDataset
 
+def open(input_data):
+    ds = GeoDataset(input_data)
+    return ds
 
 def getspectra(x, y, ds):
     nbands = ds.RasterCount
diff --git a/plio/io/tests/test_io_gpf.py b/plio/io/tests/test_io_bae.py
similarity index 65%
rename from plio/io/tests/test_io_gpf.py
rename to plio/io/tests/test_io_bae.py
index d9752c9..3303611 100644
--- a/plio/io/tests/test_io_gpf.py
+++ b/plio/io/tests/test_io_bae.py
@@ -1,9 +1,9 @@
+import json
 import numpy as np
 import pandas as pd
 from pandas.util.testing import assert_frame_equal
 
-from plio.io.io_gpf import read_gpf
-from plio.io.io_gpf import save_gpf
+from plio.io.io_bae import socetset_keywords_to_json, read_gpf, save_gpf
 from plio.examples import get_path
 
 import pytest
@@ -12,7 +12,7 @@ import pytest
 def insight_gpf():
     return get_path('InSightE08_XW.gpf')
 
-@pytest.fixture()
+@pytest.fixture()
 def insight_expected():
     return pd.read_csv(get_path('InSightE08_XW.csv'))
 
@@ -20,7 +20,7 @@ def insight_expected():
 def test_read_gfp(gpf, expected):
     df = read_gpf(gpf)
     assert_frame_equal(df, expected)
-
+
 @pytest.mark.parametrize('gpf', [(insight_gpf())])
 def test_write_gpf(gpf):
     """
@@ -43,3 +43,14 @@ def test_write_gpf(gpf):
     truth_arr = np.genfromtxt(gpf, skip_header=3)
     test_arr = np.genfromtxt('out.gpf', skip_header=3)
     np.testing.assert_array_almost_equal(truth_arr, test_arr)
+
+def test_create_from_socet_lis():
+    socetlis = get_path('socet_isd.lis')
+    socetell = get_path('ellipsoid.ell')
+    js = json.loads(socetset_keywords_to_json(socetlis))
+    assert isinstance(js, dict)  # This is essentially a JSON linter
+    # Manually validated 
+    assert 'RECTIFICATION_TERMS' in js.keys()
+    assert 'SEMI_MAJOR_AXIS' in js.keys()  # From ellipsoid file
+    assert 'NUMBER_OF_EPHEM' in js.keys()
+    assert len(js['EPHEM_PTS']) / 3 == js['NUMBER_OF_EPHEM'] 
\ No newline at end of file
diff --git a/plio/io/tests/test_io_controlnetwork.py b/plio/io/tests/test_io_controlnetwork.py
index 82c9858..fc3d05d 100644
--- a/plio/io/tests/test_io_controlnetwork.py
+++ b/plio/io/tests/test_io_controlnetwork.py
@@ -10,9 +10,23 @@ from plio.io import io_controlnetwork
 from plio.io import ControlNetFileV0002_pb2 as cnf
 from plio.utils.utils import find_in_dict
 
+from plio.examples import get_path
+
+import pytest
+
+@pytest.fixture
+def apollo_cnet():
+    return get_path('apollo_out.net')
+
 sys.path.insert(0, os.path.abspath('..'))
 
 
+def test_cnet_read(apollo_cnet):
+    df = io_controlnetwork.from_isis(apollo_cnet)
+    assert len(df) == find_in_dict(df.header, 'NumberOfMeasures')
+    assert isinstance(df, io_controlnetwork.IsisControlNetwork)
+    assert len(df.groupby('id')) == find_in_dict(df.header, 'NumberOfPoints')
+
 class TestWriteIsisControlNetwork(unittest.TestCase):
 
     @classmethod
diff --git a/plio/io/tests/test_io_gdal.py b/plio/io/tests/test_io_gdal.py
index 0221a08..fbc3d13 100644
--- a/plio/io/tests/test_io_gdal.py
+++ b/plio/io/tests/test_io_gdal.py
@@ -226,3 +226,12 @@ class TestWriter(unittest.TestCase):
             os.remove('test.tif')
         except:
             pass
+
+class TestWithoutGdal(unittest.TestCase):
+    def test_without_gdal(self):
+        io_gdal.has_gdal = False
+        with self.assertRaises(ImportError):
+            io_gdal.GeoDataset('foo')
+
+    def tearDown(self):
+        io_gdal.has_gdal = True
\ No newline at end of file
-- 
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