255 lines
8.6 KiB
Python
255 lines
8.6 KiB
Python
"""
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SleekXMPP: The Sleek XMPP Library
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Implementation of xeps for Internet of Things
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http://wiki.xmpp.org/web/Tech_pages/IoT_systems
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Copyright (C) 2013 Sustainable Innovation, Joachim.lindborg@sust.se, bjorn.westrom@consoden.se
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This file is part of SleekXMPP.
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See the file LICENSE for copying permission.
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"""
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import datetime
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import logging
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class Device(object):
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"""
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Example implementation of a device readout object.
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Is registered in the XEP_0323.register_node call
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The device object may be any custom implementation to support
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specific devices, but it must implement the functions:
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has_field
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request_fields
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"""
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def __init__(self, nodeId, fields={}):
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self.nodeId = nodeId
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self.fields = fields # see fields described below
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# {'type':'numeric',
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# 'name':'myname',
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# 'value': 42,
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# 'unit':'Z'}];
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self.timestamp_data = {}
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self.momentary_data = {}
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self.momentary_timestamp = ""
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logging.debug("Device object started nodeId %s",nodeId)
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def has_field(self, field):
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"""
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Returns true if the supplied field name exists in this device.
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Arguments:
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field -- The field name
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"""
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if field in self.fields.keys():
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return True;
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return False;
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def refresh(self, fields):
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"""
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override method to do the refresh work
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refresh values from hardware or other
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"""
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pass
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def request_fields(self, fields, flags, session, callback):
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"""
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Starts a data readout. Verifies the requested fields,
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refreshes the data (if needed) and calls the callback
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with requested data.
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Arguments:
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fields -- List of field names to readout
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flags -- [optional] data classifier flags for the field, e.g. momentary
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Formatted as a dictionary like { "flag name": "flag value" ... }
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session -- Session id, only used in the callback as identifier
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callback -- Callback function to call when data is available.
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The callback function must support the following arguments:
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session -- Session id, as supplied in the request_fields call
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nodeId -- Identifier for this device
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result -- The current result status of the readout. Valid values are:
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"error" - Readout failed.
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"fields" - Contains readout data.
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"done" - Indicates that the readout is complete. May contain
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readout data.
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timestamp_block -- [optional] Only applies when result != "error"
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The readout data. Structured as a dictionary:
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{
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timestamp: timestamp for this datablock,
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fields: list of field dictionary (one per readout field).
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readout field dictionary format:
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{
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type: The field type (numeric, boolean, dateTime, timeSpan, string, enum)
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name: The field name
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value: The field value
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unit: The unit of the field. Only applies to type numeric.
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dataType: The datatype of the field. Only applies to type enum.
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flags: [optional] data classifier flags for the field, e.g. momentary
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Formatted as a dictionary like { "flag name": "flag value" ... }
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}
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}
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error_msg -- [optional] Only applies when result == "error".
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Error details when a request failed.
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"""
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logging.debug("request_fields called looking for fields %s",fields)
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if len(fields) > 0:
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# Check availiability
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for f in fields:
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if f not in self.fields.keys():
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self._send_reject(session, callback)
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return False;
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else:
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# Request all fields
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fields = self.fields.keys();
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# Refresh data from device
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# ...
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logging.debug("about to refresh device fields %s",fields)
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self.refresh(fields)
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if "momentary" in flags and flags['momentary'] == "true" or \
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"all" in flags and flags['all'] == "true":
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ts_block = {};
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timestamp = "";
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if len(self.momentary_timestamp) > 0:
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timestamp = self.momentary_timestamp;
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else:
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timestamp = self._get_timestamp();
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field_block = [];
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for f in self.momentary_data:
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if f in fields:
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field_block.append({"name": f,
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"type": self.fields[f]["type"],
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"unit": self.fields[f]["unit"],
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"dataType": self.fields[f]["dataType"],
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"value": self.momentary_data[f]["value"],
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"flags": self.momentary_data[f]["flags"]});
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ts_block["timestamp"] = timestamp;
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ts_block["fields"] = field_block;
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callback(session, result="done", nodeId=self.nodeId, timestamp_block=ts_block);
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return
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from_flag = self._datetime_flag_parser(flags, 'from')
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to_flag = self._datetime_flag_parser(flags, 'to')
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for ts in sorted(self.timestamp_data.keys()):
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tsdt = datetime.datetime.strptime(ts, "%Y-%m-%dT%H:%M:%S")
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if not from_flag is None:
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if tsdt < from_flag:
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#print (str(tsdt) + " < " + str(from_flag))
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continue
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if not to_flag is None:
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if tsdt > to_flag:
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#print (str(tsdt) + " > " + str(to_flag))
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continue
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ts_block = {};
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field_block = [];
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for f in self.timestamp_data[ts]:
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if f in fields:
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field_block.append({"name": f,
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"type": self.fields[f]["type"],
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"unit": self.fields[f]["unit"],
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"dataType": self.fields[f]["dataType"],
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"value": self.timestamp_data[ts][f]["value"],
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"flags": self.timestamp_data[ts][f]["flags"]});
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ts_block["timestamp"] = ts;
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ts_block["fields"] = field_block;
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callback(session, result="fields", nodeId=self.nodeId, timestamp_block=ts_block);
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callback(session, result="done", nodeId=self.nodeId, timestamp_block=None);
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def _datetime_flag_parser(self, flags, flagname):
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if not flagname in flags:
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return None
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dt = None
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try:
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dt = datetime.datetime.strptime(flags[flagname], "%Y-%m-%dT%H:%M:%S")
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except ValueError:
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# Badly formatted datetime, ignore it
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pass
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return dt
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def _get_timestamp(self):
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"""
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Generates a properly formatted timestamp of current time
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"""
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return datetime.datetime.now().replace(microsecond=0).isoformat()
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def _send_reject(self, session, callback):
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"""
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Sends a reject to the caller
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Arguments:
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session -- Session id, see definition in request_fields function
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callback -- Callback function, see definition in request_fields function
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"""
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callback(session, result="error", nodeId=self.nodeId, timestamp_block=None, error_msg="Reject");
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def _add_field(self, name, typename, unit=None, dataType=None):
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"""
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Adds a field to the device
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Arguments:
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name -- Name of the field
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typename -- Type of the field (numeric, boolean, dateTime, timeSpan, string, enum)
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unit -- [optional] only applies to "numeric". Unit for the field.
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dataType -- [optional] only applies to "enum". Datatype for the field.
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"""
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self.fields[name] = {"type": typename, "unit": unit, "dataType": dataType};
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def _add_field_timestamp_data(self, name, timestamp, value, flags=None):
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"""
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Adds timestamped data to a field
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Arguments:
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name -- Name of the field
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timestamp -- Timestamp for the data (string)
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value -- Field value at the timestamp
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flags -- [optional] data classifier flags for the field, e.g. momentary
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Formatted as a dictionary like { "flag name": "flag value" ... }
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"""
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if not name in self.fields.keys():
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return False;
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if not timestamp in self.timestamp_data:
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self.timestamp_data[timestamp] = {};
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self.timestamp_data[timestamp][name] = {"value": value, "flags": flags};
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return True;
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def _add_field_momentary_data(self, name, value, flags=None):
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"""
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Sets momentary data to a field
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Arguments:
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name -- Name of the field
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value -- Field value at the timestamp
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flags -- [optional] data classifier flags for the field, e.g. momentary
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Formatted as a dictionary like { "flag name": "flag value" ... }
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"""
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if not self.fields.has_key(name):
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return False;
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if flags is None:
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flags = {};
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flags["momentary"] = "true"
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self.momentary_data[name] = {"value": value, "flags": flags};
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return True;
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def _set_momentary_timestamp(self, timestamp):
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"""
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This function is only for unit testing to produce predictable results.
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"""
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self.momentary_timestamp = timestamp;
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