From 87f99fd2430f87b762ba3764161e8c7973d1a4d3 Mon Sep 17 00:00:00 2001
From: HappyZ <zhuyanzi@gmail.com>
Date: Wed, 22 May 2019 03:05:46 -0500
Subject: [PATCH] rename file, add a structured file

---
 localization_from_gan.py                      | 126 ++++++++++++++++++
 ...ting.py => localization_log_gamma_model.py |   0
 2 files changed, 126 insertions(+)
 create mode 100644 localization_from_gan.py
 rename model_conventional_fitting.py => localization_log_gamma_model.py (100%)

diff --git a/localization_from_gan.py b/localization_from_gan.py
new file mode 100644
index 0000000..3b8b94c
--- /dev/null
+++ b/localization_from_gan.py
@@ -0,0 +1,126 @@
+#!/usr/bin/python
+
+
+import pickle
+import argparse
+
+
+def loadData(filepath):
+    try:
+        return pickle.load(open(filepath, "rb"))
+    except BaseException as e:
+        print("err: {}".format(e))
+        pass
+    return None
+
+
+def trainedModelFromGAN(data):
+    '''
+    '''
+    print("not implemented yet")
+    raise
+
+
+def locatingSingle(filepath, args):
+    '''
+    '''
+    # load data from file
+    data = loadData(filepath)
+    if data is None:
+        print("err: failed to load file {}".format(filepath))
+        return
+
+    tx_loc, tx_pwr, est_rss_map, metrics = trainedModelFromGAN(data)
+    print("|- final:")
+    print("|--- tx loc: {:.3f}, {:.3f}".format(tx_loc[0], tx_loc[1]))
+    print("|--- tx pwr: {:.2f}".format(tx_pwr))
+    print("|--- metrics: {}".format(metrics))
+
+    if args.outputfile:
+        filename = os.path.basename(args.outputfile)
+        with open(args.outputfile, 'a') as f:
+            f.write(
+                "{},".format(filename) +
+                "{:.3f},{:.3f},".format(tx_loc[0], tx_loc[1]) +
+                "{:.2f},".format(tx_pwr) +
+                ",".join(["{:.6f}".format(x) for x in metrics]) +
+                "\n"
+            )
+
+    if args.visualize:
+        plotRSS(
+            data,
+            est_rss_map,
+            est_tx_loc=tx_loc / 0.1
+        )
+
+
+def main(args):
+
+    # finding files
+    filepaths = []
+    if args.filepath:
+        filepaths.append(args.filepath)
+    if args.folderpath:
+        files = os.listdir(args.folderpath)
+        filepaths.extend(["{}/{}".format(args.folderpath, file) for file in files if '.pickle' in file])
+
+    # prepare
+    if args.outputfile:
+        with open(args.outputfile, 'w') as f:
+            f.write("filename,tx_x,tx_y,tx_pwr,env_gamma\n")
+
+
+    # loop through and fit
+    for i in range(len(filepaths)):
+        print("- model fitting on file {}".format(filepaths[i]))
+        locatingSingle(filepaths[i], args)
+
+
+if __name__ == '__main__':
+    p = argparse.ArgumentParser(description='NN from GAN')
+    p.add_argument(
+        '--filepath', '-f',
+        dest='filepath',
+        default=None,
+        help='input filepath for a pickle'
+    )
+    p.add_argument(
+        '--folderpath', '-fd',
+        dest='folderpath',
+        default=None,
+        help='input folderpath for many pickles'
+    )
+    p.add_argument(
+        '--visualize', '-v',
+        action='store_true',
+        default=False,
+        help='enable visualize'
+    )
+    p.add_argument(
+        '--output', '-o',
+        dest='outputfile',
+        default=None,
+        help='output results to filepath'
+    )
+    try:
+        args = p.parse_args()
+    except BaseException as e:
+        print(e)
+        sys.exit()
+
+    if args.filepath is None and args.folderpath is None:
+        print("at least specify file `-f` or folder `-fd`")
+        sys.exit()
+    elif args.filepath is None and not os.path.isdir(args.folderpath):
+        print("folder {} not exit".format(args.folderpath))
+        sys.exit()
+    elif args.folderpath is None and not os.path.isfile(args.filepath):
+        print("file {} not exit".format(args.filepath))
+        sys.exit()
+
+    if args.outputfile and not touch(args.outputfile):
+        print("cannot create file {}".format(args.outputfile))
+        sys.exit()
+
+    main(args)
diff --git a/model_conventional_fitting.py b/localization_log_gamma_model.py
similarity index 100%
rename from model_conventional_fitting.py
rename to localization_log_gamma_model.py