Search is not available for this dataset
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def build_crs_table(savepath):
"""
Build crs table of all equivalent format variations by scraping spatialreference.org.
Saves table as tab-delimited text file.
NOTE: Might take a while.
Arguments:
- *savepath*: The absolute or relative filepath to which to save the crs table, including the ".... |
def crscode_to_string(codetype, code, format):
"""
Lookup crscode on spatialreference.org and return in specified format.
Arguments:
- *codetype*: "epsg", "esri", or "sr-org".
- *code*: The code.
- *format*: The crs format of the returned string. One of "ogcwkt", "esriwkt", or "proj4", but als... |
def to_proj4(self, as_dict=False, toplevel=True):
"""
Returns the CS as a proj4 formatted string or dict.
Arguments:
- **as_dict** (optional): If True, returns the proj4 string as a dict (defaults to False).
- **toplevel** (optional): If True, treats this CS as the final toplev... |
def to_ogc_wkt(self):
"""
Returns the CS as a OGC WKT formatted string.
"""
return 'GEOGCS["%s", %s, %s, %s, AXIS["Lon", %s], AXIS["Lat", %s]]' % (self.name, self.datum.to_ogc_wkt(), self.prime_mer.to_ogc_wkt(), self.angunit.to_ogc_wkt(), self.twin_ax[0].ogc_wkt, self.twin_ax[1].ogc_wkt ... |
def to_esri_wkt(self):
"""
Returns the CS as a ESRI WKT formatted string.
"""
return 'GEOGCS["%s", %s, %s, %s, AXIS["Lon", %s], AXIS["Lat", %s]]' % (self.name, self.datum.to_esri_wkt(), self.prime_mer.to_esri_wkt(), self.angunit.to_esri_wkt(), self.twin_ax[0].esri_wkt, self.twin_ax[1].es... |
def to_proj4(self, as_dict=False):
"""
Returns the CS as a proj4 formatted string or dict.
Arguments:
- **as_dict** (optional): If True, returns the proj4 string as a dict (defaults to False).
"""
string = "%s" % self.proj.to_proj4()
string += " %s" % self.geogc... |
def to_ogc_wkt(self):
"""
Returns the CS as a OGC WKT formatted string.
"""
string = 'PROJCS["%s", %s, %s, ' % (self.name, self.geogcs.to_ogc_wkt(), self.proj.to_ogc_wkt() )
string += ", ".join(param.to_ogc_wkt() for param in self.params)
string += ', %s' % self.unit.to_o... |
def to_esri_wkt(self):
"""
Returns the CS as a ESRI WKT formatted string.
"""
string = 'PROJCS["%s", %s, %s, ' % (self.name, self.geogcs.to_esri_wkt(), self.proj.to_esri_wkt() )
string += ", ".join(param.to_esri_wkt() for param in self.params)
string += ', %s' % self.unit... |
def find(ellipsname, crstype, strict=False):
"""
Search for a ellipsoid name located in this module.
Arguments:
- **ellipsname**: The ellipsoid name to search for.
- **crstype**: Which CRS naming convention to search (different
CRS formats have different names for the same ellipsoid).
... |
def from_url(url, format=None):
"""
Returns the crs object from a string interpreted as a specified format, located at a given url site.
Arguments:
- *url*: The url where the crs string is to be read from.
- *format* (optional): Which format to parse the crs string as. One of "ogc wkt", "esri wkt... |
def from_file(filepath):
"""
Returns the crs object from a file, with the format determined from the filename extension.
Arguments:
- *filepath*: filepath to be loaded, including extension.
"""
if filepath.endswith(".prj"):
string = open(filepath, "r").read()
return parse.from... |
def from_epsg_code(code):
"""
Load crs object from epsg code, via spatialreference.org.
Parses based on the proj4 representation.
Arguments:
- *code*: The EPSG code as an integer.
Returns:
- A CS instance of the indicated type.
"""
# must go online (or look up local table) to ge... |
def from_esri_code(code):
"""
Load crs object from esri code, via spatialreference.org.
Parses based on the proj4 representation.
Arguments:
- *code*: The ESRI code as an integer.
Returns:
- A CS instance of the indicated type.
"""
# must go online (or look up local table) to ge... |
def from_sr_code(code):
"""
Load crs object from sr-org code, via spatialreference.org.
Parses based on the proj4 representation.
Arguments:
- *code*: The SR-ORG code as an integer.
Returns:
- A CS instance of the indicated type.
"""
# must go online (or look up local table) to ... |
def _from_wkt(string, wkttype=None, strict=False):
"""
Internal method for parsing wkt, with minor differences depending on ogc or esri style.
Arguments:
- *string*: The OGC or ESRI WKT representation as a string.
- *wkttype* (optional): How to parse the WKT string, as either 'ogc', 'esri', or Non... |
def from_proj4(proj4, strict=False):
"""
Parse crs as proj4 formatted string or dict and return the resulting crs object.
Arguments:
- *proj4*: The proj4 representation as a string or dict.
- *strict* (optional): When True, the parser is strict about names having to match
exactly with uppe... |
def from_unknown_text(text, strict=False):
"""
Detect crs string format and parse into crs object with appropriate function.
Arguments:
- *text*: The crs text representation of unknown type.
- *strict* (optional): When True, the parser is strict about names having to match
exactly with up... |
def write_to(self, out):
""" Write the raw header content to the out stream
Parameters:
----------
out : {file object}
The output stream
"""
out.write(bytes(self.header))
out.write(self.record_data) |
def read_from(cls, data_stream):
""" Instantiate a RawVLR by reading the content from the
data stream
Parameters:
----------
data_stream : {file object}
The input stream
Returns
-------
RawVLR
The RawVLR read
"""
r... |
def parse_geo_tiff_keys_from_vlrs(vlr_list: vlrlist.VLRList) -> List[GeoTiffKey]:
""" Gets the 3 GeoTiff vlrs from the vlr_list and parse them into
a nicer structure
Parameters
----------
vlr_list: pylas.vrls.vlrslist.VLRList list of vlrs from a las file
Raises
------
IndexError if... |
def parse_geo_tiff(
key_dir_vlr: GeoKeyDirectoryVlr,
double_vlr: GeoDoubleParamsVlr,
ascii_vlr: GeoAsciiParamsVlr,
) -> List[GeoTiffKey]:
""" Parses the GeoTiff VLRs information into nicer structs
"""
geotiff_keys = []
for k in key_dir_vlr.geo_keys:
if k.tiff_tag_location == 0:
... |
def get_signedness_for_extra_dim(type_index):
""" Returns the signedness foe the given type index
Parameters
----------
type_index: int
index of the type as defined in the LAS Specification
Returns
-------
DimensionSignedness,
the enum variant
"""
try:
t = _... |
def get_id_for_extra_dim_type(type_str):
""" Returns the index of the type as defined in the LAS Specification
Parameters
----------
type_str: str
Returns
-------
int
index of the type
"""
try:
return _type_to_extra_dim_id_style_1[type_str]
except KeyError:
... |
def from_point_record(cls, other_point_record, new_point_format):
""" Construct a new PackedPointRecord from an existing one with the ability to change
to point format while doing so
"""
array = np.zeros_like(other_point_record.array, dtype=new_point_format.dtype)
new_record = c... |
def copy_fields_from(self, other_record):
""" Tries to copy the values of the current dimensions from other_record
"""
for dim_name in self.dimensions_names:
try:
self[dim_name] = other_record[dim_name]
except ValueError:
pass |
def _append_zeros_if_too_small(self, value):
""" Appends zeros to the points stored if the value we are trying to
fit is bigger
"""
size_diff = len(value) - len(self.array)
if size_diff:
self.array = np.append(
self.array, np.zeros(size_diff, dtype=sel... |
def all_dimensions_names(self):
""" Returns all the dimensions names, including the names of sub_fields
and their corresponding packed fields
"""
return frozenset(self.array.dtype.names + tuple(self.sub_fields_dict.keys())) |
def zeros(cls, point_format, point_count):
""" Creates a new point record with all dimensions initialized to zero
Parameters
----------
point_format_id: int
The point format id the point record should have
point_count : int
The number of point the point r... |
def from_stream(cls, stream, point_format, count):
""" Construct the point record by reading the points from the stream
"""
points_dtype = point_format.dtype
point_data_buffer = bytearray(stream.read(count * points_dtype.itemsize))
try:
data = np.frombuffer(point_dat... |
def from_compressed_buffer(cls, compressed_buffer, point_format, count, laszip_vlr):
""" Construct the point record by reading and decompressing the points data from
the input buffer
"""
point_dtype = point_format.dtype
uncompressed = decompress_buffer(
compressed_bu... |
def x(self):
""" Returns the scaled x positions of the points as doubles
"""
return scale_dimension(self.X, self.header.x_scale, self.header.x_offset) |
def y(self):
""" Returns the scaled y positions of the points as doubles
"""
return scale_dimension(self.Y, self.header.y_scale, self.header.y_offset) |
def z(self):
""" Returns the scaled z positions of the points as doubles
"""
return scale_dimension(self.Z, self.header.z_scale, self.header.z_offset) |
def points(self, value):
""" Setter for the points property,
Takes care of changing the point_format of the file
(as long as the point format of the new points it compatible with the file version)
Parameters
----------
value: numpy.array of the new points
"""
... |
def add_extra_dim(self, name, type, description=""):
""" Adds a new extra dimension to the point record
Parameters
----------
name: str
the name of the dimension
type: str
type of the dimension (eg 'uint8')
description: str, optional
a... |
def write_to(self, out_stream, do_compress=False):
""" writes the data to a stream
Parameters
----------
out_stream: file object
the destination stream, implementing the write method
do_compress: bool, optional, default False
Flag to indicate if you want ... |
def write_to_file(self, filename, do_compress=None):
""" Writes the las data into a file
Parameters
----------
filename : str
The file where the data should be written.
do_compress: bool, optional, default None
if None the extension of the filename will b... |
def write(self, destination, do_compress=None):
""" Writes to a stream or file
When destination is a string, it will be interpreted as the path were the file should be written to,
also if do_compress is None, the compression will be guessed from the file extension:
- .laz -> compressed... |
def _build_point_formats_dtypes(point_format_dimensions, dimensions_dict):
""" Builds the dict mapping point format id to numpy.dtype
In the dtypes, bit fields are still packed, and need to be unpacked each time
you want to access them
"""
return {
fmt_id: _point_format_to_dtype(point_fmt, d... |
def _build_unpacked_point_formats_dtypes(
point_formats_dimensions, composed_fields_dict, dimensions_dict
):
""" Builds the dict mapping point format id to numpy.dtype
In the dtypes, bit fields are unpacked and can be accessed directly
"""
unpacked_dtypes = {}
for fmt_id, dim_names in point_... |
def np_dtype_to_point_format(dtype, unpacked=False):
""" Tries to find a matching point format id for the input numpy dtype
To match, the input dtype has to be 100% equal to a point format dtype
so all names & dimensions types must match
Parameters:
----------
dtype : numpy.dtype
The in... |
def min_file_version_for_point_format(point_format_id):
""" Returns the minimum file version that supports the given point_format_id
"""
for version, point_formats in sorted(VERSION_TO_POINT_FMT.items()):
if point_format_id in point_formats:
return version
else:
raise errors... |
def is_point_fmt_compatible_with_version(point_format_id, file_version):
""" Returns true if the file version support the point_format_id
"""
try:
return point_format_id in VERSION_TO_POINT_FMT[str(file_version)]
except KeyError:
raise errors.FileVersionNotSupported(file_version) |
def get_by_id(self, user_id="", record_ids=(None,)):
""" Function to get vlrs by user_id and/or record_ids.
Always returns a list even if only one vlr matches the user_id and record_id
>>> import pylas
>>> from pylas.vlrs.known import ExtraBytesVlr, WktCoordinateSystemVlr
>>> la... |
def get(self, vlr_type):
""" Returns the list of vlrs of the requested type
Always returns a list even if there is only one VLR of type vlr_type.
>>> import pylas
>>> las = pylas.read("pylastests/extrabytes.las")
>>> las.vlrs
[<ExtraBytesVlr(extra bytes structs: 5)>]
... |
def extract(self, vlr_type):
""" Returns the list of vlrs of the requested type
The difference with get is that the returned vlrs will be removed from the list
Parameters
----------
vlr_type: str
the class name of the vlr
Returns
-------
... |
def read_from(cls, data_stream, num_to_read):
""" Reads vlrs and parse them if possible from the stream
Parameters
----------
data_stream : io.BytesIO
stream to read from
num_to_read : int
number of vlrs to be read
Returns
... |
def files_have_same_point_format_id(las_files):
""" Returns true if all the files have the same points format id
"""
point_format_found = {las.header.point_format_id for las in las_files}
return len(point_format_found) == 1 |
def files_have_same_dtype(las_files):
""" Returns true if all the files have the same numpy datatype
"""
dtypes = {las.points.dtype for las in las_files}
return len(dtypes) == 1 |
def _raise_if_wrong_file_signature(stream):
""" Reads the 4 first bytes of the stream to check that is LASF"""
file_sig = stream.read(len(headers.LAS_FILE_SIGNATURE))
if file_sig != headers.LAS_FILE_SIGNATURE:
raise errors.PylasError(
"File Signature ({}) is not {}".format(file_sig, head... |
def read_header(self):
""" Reads the head of the las file and returns it
"""
self.stream.seek(self.start_pos)
return headers.HeaderFactory().read_from_stream(self.stream) |
def read_vlrs(self):
""" Reads and return the vlrs of the file
"""
self.stream.seek(self.start_pos + self.header.size)
return VLRList.read_from(self.stream, num_to_read=self.header.number_of_vlr) |
def read(self):
""" Reads the whole las data (header, vlrs ,points, etc) and returns a LasData
object
"""
vlrs = self.read_vlrs()
self._warn_if_not_at_expected_pos(
self.header.offset_to_point_data, "end of vlrs", "start of points"
)
self.stream.seek(s... |
def _read_points(self, vlrs):
""" private function to handle reading of the points record parts
of the las file.
the header is needed for the point format and number of points
the vlrs are need to get the potential laszip vlr as well as the extra bytes vlr
"""
try:
... |
def _read_compressed_points_data(self, laszip_vlr, point_format):
""" reads the compressed point record
"""
offset_to_chunk_table = struct.unpack("<q", self.stream.read(8))[0]
size_of_point_data = offset_to_chunk_table - self.stream.tell()
if offset_to_chunk_table <= 0:
... |
def _read_internal_waveform_packet(self):
""" reads and returns the waveform vlr header, waveform record
"""
# This is strange, the spec says, waveform data packet is in a EVLR
# but in the 2 samples I have its a VLR
# but also the 2 samples have a wrong user_id (LAS_Spec instea... |
def read_evlrs(self):
""" Reads the EVLRs of the file, will fail if the file version
does not support evlrs
"""
self.stream.seek(self.start_pos + self.header.start_of_first_evlr)
return evlrs.EVLRList.read_from(self.stream, self.header.number_of_evlr) |
def _warn_if_not_at_expected_pos(self, expected_pos, end_of, start_of):
""" Helper function to warn about unknown bytes found in the file"""
diff = expected_pos - self.stream.tell()
if diff != 0:
logger.warning(
"There are {} bytes between {} and {}".format(diff, end_... |
def vlr_factory(raw_vlr):
""" Given a raw_vlr tries to find its corresponding KnownVLR class
that can parse its data.
If no KnownVLR implementation is found, returns a VLR (record_data will still be bytes)
"""
user_id = raw_vlr.header.user_id.rstrip(NULL_BYTE).decode()
known_vlrs = BaseKnownVLR.... |
def open_las(source, closefd=True):
""" Opens and reads the header of the las content in the source
>>> with open_las('pylastests/simple.las') as f:
... print(f.header.point_format_id)
3
>>> f = open('pylastests/simple.las', mode='rb')
>>> with open_las(f, closefd=Fals... |
def read_las(source, closefd=True):
""" Entry point for reading las data in pylas
Reads the whole file into memory.
>>> las = read_las("pylastests/simple.las")
>>> las.classification
array([1, 1, 1, ..., 1, 1, 1], dtype=uint8)
Parameters
----------
source : str or io.BytesIO
T... |
def create_from_header(header):
""" Creates a File from an existing header,
allocating the array of point according to the provided header.
The input header is copied.
Parameters
----------
header : existing header to be used to create the file
Returns
-------
pylas.lasdatas.base.... |
def create_las(*, point_format_id=0, file_version=None):
""" Function to create a new empty las data object
.. note::
If you provide both point_format and file_version
an exception will be raised if they are not compatible
>>> las = create_las(point_format_id=6,file_version="1.2")
Tra... |
def convert(source_las, *, point_format_id=None, file_version=None):
""" Converts a Las from one point format to another
Automatically upgrades the file version if source file version is not compatible with
the new point_format_id
convert to point format 0
>>> las = read_las('pylastests/simple.la... |
def merge_las(*las_files):
""" Merges multiple las files into one
merged = merge_las(las_1, las_2)
merged = merge_las([las_1, las_2, las_3])
Parameters
----------
las_files: Iterable of LasData or LasData
Returns
-------
pylas.lasdatas.base.LasBase
The result of the mergin... |
def write_then_read_again(las, do_compress=False):
""" writes the given las into memory using BytesIO and
reads it again, returning the newly read file.
Mostly used for testing purposes, without having to write to disk
"""
out = io.BytesIO()
las.write(out, do_compress=do_compress)
out.seek... |
def date(self):
""" Returns the creation date stored in the las file
Returns
-------
datetime.date
"""
try:
return datetime.date(self.creation_year, 1, 1) + datetime.timedelta(
self.creation_day_of_year - 1
)
except ValueE... |
def date(self, date):
""" Returns the date of file creation as a python date object
"""
self.creation_year = date.year
self.creation_day_of_year = date.timetuple().tm_yday |
def mins(self):
""" Returns de minimum values of x, y, z as a numpy array
"""
return np.array([self.x_min, self.y_min, self.z_min]) |
def mins(self, value):
""" Sets de minimum values of x, y, z as a numpy array
"""
self.x_min, self.y_min, self.z_min = value |
def maxs(self):
""" Returns de maximum values of x, y, z as a numpy array
"""
return np.array([self.x_max, self.y_max, self.z_max]) |
def maxs(self, value):
""" Sets de maximum values of x, y, z as a numpy array
"""
self.x_max, self.y_max, self.z_max = value |
def scales(self):
""" Returns the scaling values of x, y, z as a numpy array
"""
return np.array([self.x_scale, self.y_scale, self.z_scale]) |
def offsets(self):
""" Returns the offsets values of x, y, z as a numpy array
"""
return np.array([self.x_offset, self.y_offset, self.z_offset]) |
def header_class_for_version(cls, version):
"""
>>> HeaderFactory.header_class_for_version(2.0)
Traceback (most recent call last):
...
pylas.errors.FileVersionNotSupported: 2.0
>>> HeaderFactory.header_class_for_version(1.2)
<class 'pylas.headers.rawheader.RawHe... |
def peek_file_version(cls, stream):
""" seeks to the position of the las version header fields
in the stream and returns it as a str
Parameters
----------
stream io.BytesIO
Returns
-------
str
file version read from the stream
"""
... |
def convert_header(cls, old_header, new_version):
""" Converts a header to a another version
Parameters
----------
old_header: the old header instance
new_version: float or str
Returns
-------
The converted header
>>> old_header = HeaderFactory... |
def unpack(source_array, mask, dtype=np.uint8):
""" Unpack sub field using its mask
Parameters:
----------
source_array : numpy.ndarray
The source array
mask : mask (ie: 0b00001111)
Mask of the sub field to be extracted from the source array
Returns
-------
numpy.ndarray... |
def pack(array, sub_field_array, mask, inplace=False):
""" Packs a sub field's array into another array using a mask
Parameters:
----------
array : numpy.ndarray
The array in which the sub field array will be packed into
array_in : numpy.ndarray
sub field array to pack
mask : ma... |
def lost_dimensions(point_fmt_in, point_fmt_out):
""" Returns a list of the names of the dimensions that will be lost
when converting from point_fmt_in to point_fmt_out
"""
unpacked_dims_in = PointFormat(point_fmt_in).dtype
unpacked_dims_out = PointFormat(point_fmt_out).dtype
out_dims = unpac... |
def dtype(self):
""" Returns the numpy.dtype used to store the point records in a numpy array
.. note::
The dtype corresponds to the dtype with sub_fields *packed* into their
composed fields
"""
dtype = self._access_dict(dims.ALL_POINT_FORMATS_DTYPE, self.id)
... |
def unpacked_dtype(self):
""" Returns the numpy.dtype used to store the point records in a numpy array
.. note::
The dtype corresponds to the dtype with sub_fields *unpacked*
"""
dtype = self._access_dict(dims.UNPACKED_POINT_FORMATS_DTYPES, self.id)
dtype = self._d... |
def sub_fields(self):
""" Returns a dict of the sub fields for this point format
Returns
-------
Dict[str, Tuple[str, SubField]]
maps a sub field name to its composed dimension with additional information
"""
sub_fields_dict = {}
for composed_dim_nam... |
def num_extra_bytes(self):
""" Returns the number of extra bytes
"""
return sum(np.dtype(extra_dim[1]).itemsize for extra_dim in self.extra_dims) |
def has_waveform_packet(self):
""" Returns True if the point format has waveform packet dimensions
"""
dimensions = set(self.dimension_names)
return all(name in dimensions for name in dims.WAVEFORM_FIELDS_NAMES) |
def main(port, ip, command, loglevel):
"""Console script for satel_integra."""
numeric_level = getattr(logging, loglevel.upper(), None)
if not isinstance(numeric_level, int):
raise ValueError('Invalid log level: %s' % loglevel)
logging.basicConfig(level=numeric_level)
click.echo("D... |
def checksum(command):
"""Function to calculate checksum as per Satel manual."""
crc = 0x147A
for b in command:
# rotate (crc 1 bit left)
crc = ((crc << 1) & 0xFFFF) | (crc & 0x8000) >> 15
crc = crc ^ 0xFFFF
crc = (crc + (crc >> 8) + b) & 0xFFFF
return crc |
def print_hex(data):
"""Debugging method to print out frames in hex."""
hex_msg = ""
for c in data:
hex_msg += "\\x" + format(c, "02x")
_LOGGER.debug(hex_msg) |
def verify_and_strip(resp):
"""Verify checksum and strip header and footer of received frame."""
if resp[0:2] != b'\xFE\xFE':
_LOGGER.error("Houston, we got problem:")
print_hex(resp)
raise Exception("Wrong header - got %X%X" % (resp[0], resp[1]))
if resp[-2:] != b'\xFE\x0D':
... |
def list_set_bits(r, expected_length):
"""Return list of positions of bits set to one in given data.
This method is used to read e.g. violated zones. They are marked by ones
on respective bit positions - as per Satel manual.
"""
set_bit_numbers = []
bit_index = 0x1
assert (len(r) == expecte... |
def generate_query(command):
"""Add header, checksum and footer to command data."""
data = bytearray(command)
c = checksum(data)
data.append(c >> 8)
data.append(c & 0xFF)
data.replace(b'\xFE', b'\xFE\xF0')
data = bytearray.fromhex("FEFE") + data + bytearray.fromhex("FE0D")
return data |
def demo(host, port):
"""Basic demo of the monitoring capabilities."""
# logging.basicConfig(level=logging.DEBUG)
loop = asyncio.get_event_loop()
stl = AsyncSatel(host,
port,
loop,
[1, 2, 3, 4, 5, 6, 7, 8, 12, 13, 14, 15, 16, 17, 18, 19,
... |
async def connect(self):
"""Make a TCP connection to the alarm system."""
_LOGGER.debug("Connecting...")
try:
self._reader, self._writer = await asyncio.open_connection(
self._host, self._port, loop=self._loop)
_LOGGER.debug("sucess connecting...")
... |
async def start_monitoring(self):
"""Start monitoring for interesting events."""
data = generate_query(
b'\x7F\x01\xDC\x99\x80\x00\x04\x00\x00\x00\x00\x00\x00')
await self._send_data(data)
resp = await self._read_data()
if resp is None:
_LOGGER.warning("... |
def _output_changed(self, msg):
"""0x17 outputs state 0x17 + 16/32 bytes"""
status = {"outputs": {}}
output_states = list_set_bits(msg, 32)
self.violated_outputs = output_states
_LOGGER.debug("Output states: %s, monitored outputs: %s",
output_states, s... |
async def arm(self, code, partition_list, mode=0):
"""Send arming command to the alarm. Modes allowed: from 0 till 3."""
_LOGGER.debug("Sending arm command, mode: %s!", mode)
while len(code) < 16:
code += 'F'
code_bytes = bytearray.fromhex(code)
mode_command = 0x80 +... |
async def disarm(self, code, partition_list):
"""Send command to disarm."""
_LOGGER.info("Sending disarm command.")
while len(code) < 16:
code += 'F'
code_bytes = bytearray.fromhex(code)
data = generate_query(b'\x84' + code_bytes
+ part... |
async def clear_alarm(self, code, partition_list):
"""Send command to clear the alarm."""
_LOGGER.info("Sending clear the alarm command.")
while len(code) < 16:
code += 'F'
code_bytes = bytearray.fromhex(code)
data = generate_query(b'\x85' + code_bytes
... |
async def set_output(self, code, output_id, state):
"""Send output turn on command to the alarm."""
"""0x88 outputs on
+ 8 bytes - user code
+ 16/32 bytes - output list
If function is accepted, function result can be
checked by observe the system... |
async def keep_alive(self):
"""A workaround for Satel Integra disconnecting after 25s.
Every interval it sends some random question to the device, ignoring
answer - just to keep connection alive.
"""
while True:
await asyncio.sleep(self._keep_alive_timeout)
... |
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