From 2d5a2bb53b6875775a8579476cc1f6c4bb47f12f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Pawe=C5=82=20Sadowski?= <pawel@sadowski.pro>
Date: Mon, 10 Feb 2025 17:21:28 +0000
Subject: [PATCH] update

---
 Pipfile.lock           | 736 ++++++++++++++++++++++++++++++++++++++++-
 bokehtest.py           |  79 -----
 main_dm.py             |  31 --
 measurement_station.py |  10 +-
 norsonic_fetcher.py    |  25 +-
 norsonic_parser.py     |  40 ++-
 thrust_stand.py        |   2 +-
 7 files changed, 804 insertions(+), 119 deletions(-)
 delete mode 100644 bokehtest.py
 delete mode 100644 main_dm.py

diff --git a/Pipfile.lock b/Pipfile.lock
index 9f8c8d0..6b1d394 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "ad2cb9066506fc005abde6e899c004908646b83c23b97c462f082be399639b59"
+            "sha256": "e41ed29400fd9444f9694e8a64836d593135e30b3636f50480cc4b1f58b694ba"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -16,6 +16,15 @@
         ]
     },
     "default": {
+        "aioftp": {
+            "hashes": [
+                "sha256:62d1e59804afc7e42c57e8b3fa44e03e39630323cc666018a4e870d79dc58ec0",
+                "sha256:b80eadd8ca95d2bbbcfabe7de15cbe01ac117b2e7467717374de467bad93570b"
+            ],
+            "index": "pypi",
+            "markers": "python_version >= '3.9'",
+            "version": "==0.23.1"
+        },
         "aiohappyeyeballs": {
             "hashes": [
                 "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586",
@@ -123,6 +132,157 @@
             "markers": "python_version >= '3.7'",
             "version": "==24.2.0"
         },
+        "bokeh": {
+            "hashes": [
+                "sha256:2f3043d9ecb3d5dc2e8c0ebf8ad55727617188d4e534f3e7208b36357e352396",
+                "sha256:fddc4b91f8b40178c0e3e83dfcc33886d7803a3a1f041a840834255e435a18c2"
+            ],
+            "index": "pypi",
+            "markers": "python_version >= '3.10'",
+            "version": "==3.6.2"
+        },
+        "bokeh-sampledata": {
+            "hashes": [
+                "sha256:b41f94472ea8ca9c8b8ee999de47236879b169034bb7b789421c6a20e10b7205",
+                "sha256:e63daa96e79d563ec8b84f20672ffe94f905b21455fab8d83ee334e46da33624"
+            ],
+            "index": "pypi",
+            "markers": "python_version >= '3.10'",
+            "version": "==2024.2"
+        },
+        "colorist": {
+            "hashes": [
+                "sha256:71845994a2c30ba582e563876685e5add5151237463ea27672314ed196a61821",
+                "sha256:8a6741feae39eebfe25436f2c9f564072f3c0c37bdabc5cc75a35149b483b72c"
+            ],
+            "index": "pypi",
+            "markers": "python_version >= '3.10'",
+            "version": "==1.8.3"
+        },
+        "contourpy": {
+            "hashes": [
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+                "sha256:f611e628ef06670df83fce17805c344710ca5cde01edfdc72751311da8585375"
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+            "markers": "python_version >= '3.10'",
+            "version": "==1.3.1"
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+            "markers": "python_version >= '3.8'",
+            "version": "==0.12.1"
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+                "sha256:f9e736f60f4911061235603a6119e72053073a12c6d7904011df2d8fad2c0e35",
+                "sha256:fb594b5a99943042c702c550d5494bdd7577f6ef19b0bc73877c948a63184a32"
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+            "version": "==4.55.3"
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         "frozenlist": {
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                 "sha256:000a77d6034fbad9b6bb880f7ec073027908f1b40254b5d6f26210d2dab1240e",
@@ -221,6 +381,14 @@
             "markers": "python_version >= '3.8'",
             "version": "==1.5.0"
         },
+        "icalendar": {
+            "hashes": [
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+            "version": "==6.1.0"
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         "idna": {
             "hashes": [
                 "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9",
@@ -229,6 +397,208 @@
             "markers": "python_version >= '3.6'",
             "version": "==3.10"
         },
+        "jinja2": {
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@@ -327,6 +697,200 @@
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@@ -431,6 +995,14 @@
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@@ -439,6 +1011,152 @@
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+            "version": "==2.9.0.post0"
+        },
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+                "sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4"
+            ],
+            "markers": "python_version >= '3.8'",
+            "version": "==6.0.2"
+        },
+        "scipy": {
+            "hashes": [
+                "sha256:033a75ddad1463970c96a88063a1df87ccfddd526437136b6ee81ff0312ebdf6",
+                "sha256:0458839c9f873062db69a03de9a9765ae2e694352c76a16be44f93ea45c28d2b",
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+                "sha256:5dff14e75cdbcf07cdaa1c7707db6017d130f0af9ac41f6ce443a93318d6c6e0",
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+                "sha256:900f3fa3db87257510f011c292a5779eb627043dd89731b9c461cd16ef76ab3d",
+                "sha256:9f151e9fb60fbf8e52426132f473221a49362091ce7a5e72f8aa41f8e0da4f25",
+                "sha256:af0b61c1de46d0565b4b39c6417373304c1d4f5220004058bdad3061c9fa8a95",
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+                "sha256:c352c1b6d7cac452534517e022f8f7b8d139cd9f27e6fbd9f3cbd0bfd39f5bef",
+                "sha256:c64ded12dcab08afff9e805a67ff4480f5e69993310e093434b10e85dc9d43e1",
+                "sha256:cdde8414154054763b42b74fe8ce89d7f3d17a7ac5dd77204f0e142cdc9239e9",
+                "sha256:ce3a000cd28b4430426db2ca44d96636f701ed12e2b3ca1f2b1dd7abdd84b39a",
+                "sha256:f735bc41bd1c792c96bc426dece66c8723283695f02df61dcc4d0a707a42fc54",
+                "sha256:f82fcf4e5b377f819542fbc8541f7b5fbcf1c0017d0df0bc22c781bf60abc4d8"
+            ],
+            "index": "pypi",
+            "markers": "python_version >= '3.10'",
+            "version": "==1.15.1"
+        },
+        "six": {
+            "hashes": [
+                "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274",
+                "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"
+            ],
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'",
+            "version": "==1.17.0"
+        },
+        "tornado": {
+            "hashes": [
+                "sha256:072ce12ada169c5b00b7d92a99ba089447ccc993ea2143c9ede887e0937aa803",
+                "sha256:1a017d239bd1bb0919f72af256a970624241f070496635784d9bf0db640d3fec",
+                "sha256:2876cef82e6c5978fde1e0d5b1f919d756968d5b4282418f3146b79b58556482",
+                "sha256:304463bd0772442ff4d0f5149c6f1c2135a1fae045adf070821c6cdc76980634",
+                "sha256:908b71bf3ff37d81073356a5fadcc660eb10c1476ee6e2725588626ce7e5ca38",
+                "sha256:92bad5b4746e9879fd7bf1eb21dce4e3fc5128d71601f80005afa39237ad620b",
+                "sha256:932d195ca9015956fa502c6b56af9eb06106140d844a335590c1ec7f5277d10c",
+                "sha256:bca9eb02196e789c9cb5c3c7c0f04fb447dc2adffd95265b2c7223a8a615ccbf",
+                "sha256:c36e62ce8f63409301537222faffcef7dfc5284f27eec227389f2ad11b09d946",
+                "sha256:c82c46813ba483a385ab2a99caeaedf92585a1f90defb5693351fa7e4ea0bf73",
+                "sha256:e828cce1123e9e44ae2a50a9de3055497ab1d0aeb440c5ac23064d9e44880da1"
+            ],
+            "markers": "python_version >= '3.8'",
+            "version": "==6.4.2"
+        },
         "typing-extensions": {
             "hashes": [
                 "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d",
@@ -448,6 +1166,14 @@
             "markers": "python_version >= '3.8'",
             "version": "==4.12.2"
         },
+        "tzdata": {
+            "hashes": [
+                "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc",
+                "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"
+            ],
+            "markers": "python_version >= '2'",
+            "version": "==2024.2"
+        },
         "websockets": {
             "hashes": [
                 "sha256:00fe5da3f037041da1ee0cf8e308374e236883f9842c7c465aa65098b1c9af59",
@@ -524,6 +1250,14 @@
             "markers": "python_version >= '3.9'",
             "version": "==14.1"
         },
+        "xyzservices": {
+            "hashes": [
+                "sha256:68fb8353c9dbba4f1ff6c0f2e5e4e596bb9e1db7f94f4f7dfbcb26e25aa66fde",
+                "sha256:776ae82b78d6e5ca63dd6a94abb054df8130887a4a308473b54a6bd364de8644"
+            ],
+            "markers": "python_version >= '3.8'",
+            "version": "==2024.9.0"
+        },
         "yarl": {
             "hashes": [
                 "sha256:01be8688fc211dc237e628fcc209dda412d35de7642453059a0553747018d075",
diff --git a/bokehtest.py b/bokehtest.py
deleted file mode 100644
index 5bcb56a..0000000
--- a/bokehtest.py
+++ /dev/null
@@ -1,79 +0,0 @@
-from dataclasses import fields
-from typing import Iterable, Sequence
-from bokeh.core.enums import SizingMode, SizingModeType
-from bokeh.io import curdoc
-from bokeh.layouts import column
-from bokeh.models import ColumnDataSource, MultiChoice, Select
-from bokeh.plotting import figure
-import pickle
-
-from measurement_station import OpPointData
-
-
-def oppoint_data_src(p: OpPointData) -> dict[str, float]:
-    ret = {}
-
-    # print(fields(p.data_thrust_stand_avg)[0])
-
-    ret.update({k: v for k, v in field_entries(p.data_thrust_stand_avg).items()})
-
-    return ret
-
-def field_entries(datacls) -> dict[str, float]:
-    fnames = [f.name for f in fields(datacls)]
-    return {n: getattr(datacls, n) for n in fnames}
-
-
-def read_series(fname: str) -> dict[int, OpPointData]:
-    with open(fname, 'rb') as f:
-        return pickle.load(f)
-
-def series_dataclosrc(series: dict[int, OpPointData]) -> ColumnDataSource:
-    # entries = [field_entries(v) for v in series.values()]
-    entries = [oppoint_data_src(p) for p in series.values()]
-    keys = entries[0].keys()
-    data = { key: [e[key] for e in entries] for key in keys }
-    return ColumnDataSource(data)
-
-
-filespeed = 15
-
-files = [ f'./dmuch/gf7035_v{filespeed}.pickle', f'./dmuch/gf7042_v{filespeed}.pickle', f'./dmuch/apc838_v{filespeed}.pickle', f'./dmuch/apc938_v{filespeed}.pickle', f'./dmuch/ep_v{filespeed}.pickle' ]
-
-series = [ read_series(f) for f in files ]
-
-print(oppoint_data_src(series[0][1500]))
-
-print(series_dataclosrc(series[0]))
-
-sources = [series_dataclosrc(s) for s in series]
-
-keys = list(sources[0].data.keys())
-
-
-
-
-
-
-p = figure(title="Dynamic Column Plot", x_axis_label='Index', y_axis_label='Value', tools=['hover', 'pan', 'xwheel_zoom'])
-p.sizing_mode = 'scale_both' # type: ignore
-
-multi_choice = MultiChoice(title="Choose Columns to Plot", options=keys)
-xsel = Select(title="Y axis:", value="cos", options=keys)
-
-colors = ['blue', 'green', 'red', 'yellow', 'orange']
-
-def update_plot(attr, _, new_values):
-    p.renderers = [] # type: ignore
-    
-    for source, fname, color in zip(sources, files, colors):
-        for column in multi_choice.value: # type: ignore
-            p.line(x=xsel.value, y=column, source=source, legend_label=f'{fname} {column}', line_width=2, color=color)
-
-multi_choice.on_change('value', update_plot)
-xsel.on_change('value', update_plot)
-
-layout = column(multi_choice, xsel, p)
-layout.sizing_mode = 'scale_both' # type: ignore
-
-curdoc().add_root(layout)
diff --git a/main_dm.py b/main_dm.py
deleted file mode 100644
index dfa720f..0000000
--- a/main_dm.py
+++ /dev/null
@@ -1,31 +0,0 @@
-import asyncio
-from measurement_station import ConnectionParams, meas_series
-
-
-CONN_PARAMS = ConnectionParams(
-        stand_tty='/dev/ttyUSB0',
-        nor_addr='10.145.1.1',
-        nor_ftp_user='AAAA',
-        nor_ftp_pass='1234',
-        nor_recordings_dir='/SD Card/NorMeas/Nor14530408/TEST'
-        )
-
-
-
-range(1200, 1500, 50)
-
-
-async def main():
-    global x
-    x = await meas_series(CONN_PARAMS, range(1200, 1800, 100))
-
-
-
-# logging.basicConfig(level=logging.INFO)
-asyncio.run(main(), debug=True)
-
-import pickle
-import sys
-
-with open(sys.argv[1], 'wb') as f:
-    pickle.dump(x, f)
diff --git a/measurement_station.py b/measurement_station.py
index 8c18b75..300cfcd 100644
--- a/measurement_station.py
+++ b/measurement_station.py
@@ -18,12 +18,16 @@ class OpPointData:
     data_thrust_stand: Sequence[ThrustStandMeasurement]
     raw_nor_report: Optional[bytes]
 
-    @property 
-    def data_accustic(self):
+    @property
+    def nor_report_parsed(self):
         if self.raw_nor_report is None:
             raise ValueError()
         return parse_report(self.raw_nor_report)
 
+    @property 
+    def data_accustic(self):
+        return self.nor_report_parsed.profile
+
     @property
     def data_thrust_stand_avg(self):
         return sum(self.data_thrust_stand, ThrustStandMeasurement.zero())/len(self.data_thrust_stand)
@@ -76,7 +80,7 @@ async def meas_series(params: ConnectionParams, pwms: Iterable[int]):
         stand_series_pending = stand.start_meas_series()
         #
         files_nor[pwm] = await norsonic.record(nor)
-        await asyncio.sleep(1)
+        # await asyncio.sleep(8)
         spr(f'Done')
         results_stand[pwm] =  stand.finish_meas_series(stand_series_pending)
         print(results_stand[pwm][0])
diff --git a/norsonic_fetcher.py b/norsonic_fetcher.py
index 152664b..86c3ea0 100644
--- a/norsonic_fetcher.py
+++ b/norsonic_fetcher.py
@@ -37,11 +37,32 @@ async def ftp_fetch(client: aioftp.Client, path: str) -> bytes:
     file = b''.join([block async for block in stream.iter_by_block()])
     await stream.finish()
     stream.close()
+    # await asyncio.sleep(1)
     return file
 
 async def nor_get_reports(addr: str, user: str, password: str, recs: Iterable[str]) -> Sequence[bytes]:
-    async with aioftp.Client.context(addr, user=user, password=password, parse_list_line_custom=ftp_parse_line) as ftp:
-        return [await ftp_fetch(ftp, recording_path(p)) for p in recs]
+    pass
+    # async with aioftp.Client.context(addr, user=user, password=password, parse_list_line_custom=ftp_parse_line) as ftp:
+    #     return [await ftp_fetch(ftp, recording_path(p)) for p in recs]
+
+    recs_left = list(recs)
+    ret = []
+    while recs_left:
+        spr('Connecting to norsonic FTP...')
+        try:
+            async with aioftp.Client.context(addr, user=user, password=password, parse_list_line_custom=ftp_parse_line) as ftp:
+                while recs_left:
+                    rec = recs_left[0]
+                    report = await ftp_fetch(ftp, recording_path(rec))
+                    del recs_left[0]
+                    ret.append(report)
+
+        except ConnectionResetError:
+            spr('Connection reset!')
+            await asyncio.sleep(2)
+    return ret
+
+
 
 
 
diff --git a/norsonic_parser.py b/norsonic_parser.py
index 36d8e60..339d857 100644
--- a/norsonic_parser.py
+++ b/norsonic_parser.py
@@ -1,5 +1,16 @@
+from dataclasses import dataclass
+
+
 CRLF = '\r\n'
 COL_SEPARATOR = '\t'
+FFT_TOP_FREQ = 21996.1
+
+@dataclass
+class NorsonicReportData:
+    profile: list[dict[str, str]]
+    glob_funcs: dict[str, str]
+    glob_fft: dict[float, float]
+
 
 def parse_report_table(table: str):
     _, head_cols, *rows = table.split(CRLF)
@@ -12,15 +23,40 @@ def parse_report_table(table: str):
             print(cols)
             print(len(cols))
             print(len(vals))
-            raise ValueError('NorPaeser: Invalid row read')
+            raise ValueError('NorParser: Invalid row read')
         return {cols[i]: vals[i] for i in range(len(cols))}
 
     return [parse_row(r) for r in rows if len(r) > 0]
 
+def parse_glob(table: str) -> tuple[dict[str, str], dict[float, float]]:
+    _, head_cols, row = table.split(CRLF)
+    cols = head_cols.split(COL_SEPARATOR) [:-1]
+    vals = row.split(COL_SEPARATOR)
+    functions = {cols[i]: vals[i] for i in range(len(cols))}
+
+    fft_vals = list(map(float, vals[len(cols):]))
+    fft_points = len(fft_vals)
+    fft_freqs = [FFT_TOP_FREQ * (i+1)/(fft_points + 1) for i in range(fft_points)]
+    fft = {freq: val for freq, val in zip(fft_freqs, fft_vals)}
+
+    return functions, fft
+
+
 def parse_report(report: bytes):
     *header, glob, prof = report.decode().split(2*CRLF)
     t_prof = parse_report_table(prof)
+    t_glob, fft = parse_glob(glob)
     # t_glob = parse_report_table(glob)
     # return t_glob, t_prof
-    return t_prof
+    return NorsonicReportData(t_prof, t_glob, fft)
+    # return t_prof
+
+
+if __name__ == '__main__':
+    FNAME = '/home/Downloads/VIP 688 2025-02-05 13-40-36.txt'
+    CRLF = '\n'
+    with open(FNAME, 'rb') as f:
+        rb = f.read()
+        global ret
+        ret = parse_report(rb)
 
diff --git a/thrust_stand.py b/thrust_stand.py
index 81d2b3b..da8feab 100644
--- a/thrust_stand.py
+++ b/thrust_stand.py
@@ -22,7 +22,7 @@ CAL_HINGE_LEFT = 1.2100092475098374
 CAL_HINGE_RIGHT = 1.2590952216896254
 CAL_LEFT = 0.9663293361785854
 CAL_RIGHT = -0.9575068323376389
-CAL_THRUST = 0.9516456828857573
+CAL_THRUST = -0.9516456828857573
 CAL_TORQUE_LEFT = CAL_LEFT * CAL_HINGE_LEFT
 CAL_TORQUE_RIGHT = CAL_RIGHT * CAL_HINGE_RIGHT
 CAL_SYNCSPEED = 2/CAL_POLES * 2* 3.1415