2017-09-25 23:16:17 +02:00
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# -*- coding: utf-8 -*-
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# vim: ai ts=4 sts=4 et sw=4 encoding=utf-8
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""" Message Parsing
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Template-specific Message Parsers are defined here.
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2019-12-20 17:53:39 +01:00
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@copyright: 2012-2019 (c) Sahana Software Foundation
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2017-09-25 23:16:17 +02:00
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@license: MIT
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Permission is hereby granted, free of charge, to any person
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obtaining a copy of this software and associated documentation
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files (the "Software"), to deal in the Software without
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restriction, including without limitation the rights to use,
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copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the
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Software is furnished to do so, subject to the following
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conditions:
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The above copyright notice and this permission notice shall be
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included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
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HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
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OTHER DEALINGS IN THE SOFTWARE.
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"""
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__all__ = ("S3Parser",)
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#import re
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#import pyparsing
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try:
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import nltk
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from nltk.corpus import wordnet as wn
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NLTK = True
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except:
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NLTK = False
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from gluon import current
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from gluon.tools import fetch
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from s3.s3fields import S3Represent
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from s3.s3parser import S3Parsing
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from s3.s3utils import soundex
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# =============================================================================
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class S3Parser(object):
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"""
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Message Parsing Template
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"""
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# -------------------------------------------------------------------------
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@staticmethod
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def parse_twitter(message):
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"""
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Filter unstructured tweets
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"""
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db = current.db
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s3db = current.s3db
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cache = s3db.cache
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# Start with a base priority
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priority = 0
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# Default Category
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category = "Unknown"
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# Lookup the channel type
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#ctable = s3db.msg_channel
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#channel = db(ctable.channel_id == message.channel_id).select(ctable.instance_type,
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# limitby=(0, 1)
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# ).first()
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#service = channel.instance_type.split("_", 2)[1]
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#if service in ("mcommons", "tropo", "twilio"):
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# service = "sms"
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#if service == "twitter":
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# priority -= 1
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#elif service == "sms":
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# priority += 1
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service = "twitter"
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# Lookup trusted senders
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# - these could be trained or just trusted
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table = s3db.msg_sender
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ctable = s3db.pr_contact
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query = (table.deleted == False) & \
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(ctable.pe_id == table.pe_id) & \
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(ctable.contact_method == "TWITTER")
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senders = db(query).select(table.priority,
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ctable.value,
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cache=cache)
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for s in senders:
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if sender == s[ctable].value:
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priority += s[table].priority
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break
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# If Anonymous, check their history
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# - within our database
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# if service == "twitter":
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# # Check Followers
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# # Check Retweets
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# # Check when account was created
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# (Note that it is still possible to game this - plausible accounts can be purchased)
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ktable = s3db.msg_keyword
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keywords = db(ktable.deleted == False).select(ktable.id,
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ktable.keyword,
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ktable.incident_type_id,
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cache=cache)
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incident_type_represent = S3Represent(lookup="event_incident_type")
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if NLTK:
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# Lookup synonyms
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# @ToDo: Cache
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synonyms = {}
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for kw in keywords:
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syns = []
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try:
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synsets = wn.synsets(kw.keyword)
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for synset in synsets:
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syns += [lemma.name for lemma in synset.lemmas]
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except LookupError:
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nltk.download("wordnet")
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synsets = wn.synsets(kw.keyword)
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for synset in synsets:
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syns += [lemma.name for lemma in synset.lemmas]
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synonyms[kw.keyword.lower()] = syns
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ltable = s3db.gis_location
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query = (ltable.deleted != True) & \
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(ltable.name != None)
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locs = db(query).select(ltable.id,
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ltable.name,
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cache=cache)
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lat = lon = None
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location_id = None
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loc_matches = 0
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# Split message into words
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words = message.split(" ")
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index = 0
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max_index = len(words) - 1
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for word in words:
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word = word.lower()
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if word.endswith(".") or \
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word.endswith(":") or \
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word.endswith(","):
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word = word[:-1]
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skip = False
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if word in ("safe", "ok"):
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priority -= 1
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elif word in ("help"):
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priority += 1
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elif service == "twitter" and \
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word == "RT":
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# @ToDo: Increase priority of the original message
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priority -= 1
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skip = True
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# Look for URL
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if word.startswith("http://"):
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priority += 1
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skip = True
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# @ToDo: Follow URL to see if we can find an image
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#try:
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# page = fetch(word)
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#except urllib2.HTTPError:
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# pass
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# Check returned str for image like IS_IMAGE()
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if (index < max_index):
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if word == "lat":
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skip = True
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try:
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lat = words[index + 1]
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lat = float(lat)
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except:
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pass
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elif word == "lon":
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skip = True
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try:
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lon = words[index + 1]
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lon = float(lon)
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except:
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pass
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if not skip:
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for kw in keywords:
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_word = kw.keyword.lower()
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if _word == word:
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# Check for negation
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if index and words[index - 1].lower() == "no":
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pass
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else:
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category = incident_type_represent(kw.incident_type_id)
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break
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elif NLTK:
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# Synonyms
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if word in synonyms[_word]:
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# Check for negation
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if index and words[index - 1].lower() == "no":
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pass
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else:
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category = incident_type_represent(kw.incident_type_id)
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break
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# Check for Location
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for loc in locs:
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name = loc.name.lower()
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# @ToDo: Do a Unicode comparison
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if word == name:
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if not loc_matches:
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location_id = loc.id
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priority += 1
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loc_matches += 1
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elif (index < max_index) and \
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("%s %s" % (word, words[index + 1]) == name):
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# Try names with 2 words
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if not loc_matches:
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location_id = loc.id
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priority += 1
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loc_matches += 1
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index += 1
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# @ToDo: Prioritise reports from people located where they are reporting from
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# if coordinates:
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if not loc_matches or loc_matches > 1:
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if lat and lon:
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location_id = ltable.insert(lat = lat,
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lon = lon)
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elif service == "twitter":
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# @ToDo: Use Geolocation of Tweet
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#location_id =
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pass
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# @ToDo: Update records inside this function with parsed data
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# @ToDo: Image
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#return category, priority, location_id
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# No reply here
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return None
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# -------------------------------------------------------------------------
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@staticmethod
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def _parse_keywords(message_body):
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"""
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Parse Keywords
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- helper function for search_resource, etc
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"""
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# Equivalent keywords in one list
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primary_keywords = ["get", "give", "show"]
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contact_keywords = ["email", "mobile", "facility", "clinical",
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"security", "phone", "status", "hospital",
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"person", "organisation"]
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pkeywords = primary_keywords + contact_keywords
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keywords = message_body.split(" ")
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pquery = []
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name = ""
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for word in keywords:
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match = None
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for key in pkeywords:
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if soundex(key) == soundex(word):
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match = key
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break
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if match:
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pquery.append(match)
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else:
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name = word
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return pquery, name
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# -------------------------------------------------------------------------
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def search_resource(self, message):
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"""
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1st Pass Parser for searching resources
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- currently supports people, hospitals and organisations.
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"""
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message_body = message.body
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if not message_body:
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return None
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pquery, name = self._parse_keywords(message_body)
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if "person" in pquery:
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reply = self.search_person(message, pquery, name)
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elif "hospital" in pquery:
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reply = self.search_hospital(message, pquery, name)
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elif "organisation" in pquery:
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reply = self.search_organisation(message, pquery, name)
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else:
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reply = None
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return reply
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# -------------------------------------------------------------------------
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def search_person(self, message, pquery=None, name=None):
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"""
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Search for People
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- can be called direct
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- can be called from search_by_keyword
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"""
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message_body = message.body
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if not message_body:
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return None
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if not pquery or not name:
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pquery, name = self._parse_keywords(message_body)
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T = current.T
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db = current.db
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s3db = current.s3db
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reply = None
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result = []
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# Person Search [get name person phone email]
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s3_accessible_query = current.auth.s3_accessible_query
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table = s3db.pr_person
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query = (table.deleted == False) & \
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(s3_accessible_query("read", table))
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rows = db(query).select(table.pe_id,
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table.first_name,
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table.middle_name,
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table.last_name)
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_name = soundex(str(name))
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for row in rows:
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if (_name == soundex(row.first_name)) or \
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(_name == soundex(row.middle_name)) or \
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(_name == soundex(row.last_name)):
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presult = dict(name = row.first_name, id = row.pe_id)
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result.append(presult)
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if len(result) == 0:
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return T("No Match")
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elif len(result) > 1:
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return T("Multiple Matches")
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else:
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# Single Match
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|
|
reply = result[0]["name"]
|
|
|
|
|
table = s3db.pr_contact
|
|
|
|
|
if "email" in pquery:
|
|
|
|
|
query = (table.pe_id == result[0]["id"]) & \
|
|
|
|
|
(table.contact_method == "EMAIL") & \
|
|
|
|
|
(s3_accessible_query("read", table))
|
|
|
|
|
recipient = db(query).select(table.value,
|
|
|
|
|
orderby = table.priority,
|
|
|
|
|
limitby=(0, 1)).first()
|
|
|
|
|
if recipient:
|
|
|
|
|
reply = "%s Email->%s" % (reply, recipient.value)
|
|
|
|
|
else:
|
|
|
|
|
reply = "%s 's Email Not available!" % reply
|
|
|
|
|
if "phone" in pquery:
|
|
|
|
|
query = (table.pe_id == result[0]["id"]) & \
|
|
|
|
|
(table.contact_method == "SMS") & \
|
|
|
|
|
(s3_accessible_query("read", table))
|
|
|
|
|
recipient = db(query).select(table.value,
|
|
|
|
|
orderby = table.priority,
|
|
|
|
|
limitby=(0, 1)).first()
|
|
|
|
|
if recipient:
|
|
|
|
|
reply = "%s Mobile->%s" % (reply,
|
|
|
|
|
recipient.value)
|
|
|
|
|
else:
|
|
|
|
|
reply = "%s 's Mobile Contact Not available!" % reply
|
|
|
|
|
|
|
|
|
|
return reply
|
|
|
|
|
|
|
|
|
|
# ---------------------------------------------------------------------
|
|
|
|
|
def search_hospital(self, message, pquery=None, name=None):
|
|
|
|
|
"""
|
|
|
|
|
Search for Hospitals
|
|
|
|
|
- can be called direct
|
|
|
|
|
- can be called from search_by_keyword
|
|
|
|
|
"""
|
|
|
|
|
|
|
|
|
|
message_body = message.body
|
|
|
|
|
if not message_body:
|
|
|
|
|
return None
|
|
|
|
|
|
|
|
|
|
if not pquery or not name:
|
|
|
|
|
pquery, name = self._parse_keywords(message_body)
|
|
|
|
|
|
|
|
|
|
T = current.T
|
|
|
|
|
db = current.db
|
|
|
|
|
s3db = current.s3db
|
|
|
|
|
|
|
|
|
|
reply = None
|
|
|
|
|
result = []
|
|
|
|
|
|
|
|
|
|
# Hospital Search [example: get name hospital facility status ]
|
|
|
|
|
table = s3db.hms_hospital
|
|
|
|
|
stable = s3db.hms_status
|
|
|
|
|
query = (table.deleted == False) & \
|
|
|
|
|
(current.auth.s3_accessible_query("read", table))
|
|
|
|
|
rows = db(query).select(table.id,
|
|
|
|
|
table.name,
|
|
|
|
|
table.aka1,
|
|
|
|
|
table.aka2,
|
|
|
|
|
table.phone_emergency
|
|
|
|
|
)
|
|
|
|
|
_name = soundex(str(name))
|
|
|
|
|
for row in rows:
|
|
|
|
|
if (_name == soundex(row.name)) or \
|
|
|
|
|
(_name == soundex(row.aka1)) or \
|
|
|
|
|
(_name == soundex(row.aka2)):
|
|
|
|
|
result.append(row)
|
|
|
|
|
|
|
|
|
|
if len(result) == 0:
|
|
|
|
|
return T("No Match")
|
|
|
|
|
|
|
|
|
|
elif len(result) > 1:
|
|
|
|
|
return T("Multiple Matches")
|
|
|
|
|
|
|
|
|
|
else:
|
|
|
|
|
# Single Match
|
|
|
|
|
hospital = result[0]
|
|
|
|
|
status = db(stable.hospital_id == hospital.id).select(stable.facility_status,
|
|
|
|
|
stable.clinical_status,
|
|
|
|
|
stable.security_status,
|
|
|
|
|
limitby=(0, 1)
|
|
|
|
|
).first()
|
|
|
|
|
reply = "%s %s (%s) " % (reply, hospital.name,
|
|
|
|
|
T("Hospital"))
|
|
|
|
|
if "phone" in pquery:
|
|
|
|
|
reply = reply + "Phone->" + str(hospital.phone_emergency)
|
|
|
|
|
if "facility" in pquery:
|
|
|
|
|
reply = reply + "Facility status " + \
|
|
|
|
|
str(stable.facility_status.represent\
|
|
|
|
|
(status.facility_status))
|
|
|
|
|
if "clinical" in pquery:
|
|
|
|
|
reply = reply + "Clinical status " + \
|
|
|
|
|
str(stable.clinical_status.represent\
|
|
|
|
|
(status.clinical_status))
|
|
|
|
|
if "security" in pquery:
|
|
|
|
|
reply = reply + "Security status " + \
|
|
|
|
|
str(stable.security_status.represent\
|
|
|
|
|
(status.security_status))
|
|
|
|
|
|
|
|
|
|
return reply
|
|
|
|
|
|
|
|
|
|
# ---------------------------------------------------------------------
|
|
|
|
|
def search_organisation(self, message, pquery=None, name=None):
|
|
|
|
|
"""
|
|
|
|
|
Search for Organisations
|
|
|
|
|
- can be called direct
|
|
|
|
|
- can be called from search_by_keyword
|
|
|
|
|
"""
|
|
|
|
|
|
|
|
|
|
message_body = message.body
|
|
|
|
|
if not message_body:
|
|
|
|
|
return None
|
|
|
|
|
|
|
|
|
|
if not pquery or not name:
|
|
|
|
|
pquery, name = self._parse_keywords(message_body)
|
|
|
|
|
|
|
|
|
|
T = current.T
|
|
|
|
|
db = current.db
|
|
|
|
|
s3db = current.s3db
|
|
|
|
|
|
|
|
|
|
reply = None
|
|
|
|
|
result = []
|
|
|
|
|
|
|
|
|
|
# Organization search [example: get name organisation phone]
|
|
|
|
|
s3_accessible_query = current.auth.s3_accessible_query
|
|
|
|
|
table = s3db.org_organisation
|
|
|
|
|
query = (table.deleted == False) & \
|
|
|
|
|
(s3_accessible_query("read", table))
|
|
|
|
|
rows = db(query).select(table.id,
|
|
|
|
|
table.name,
|
|
|
|
|
table.phone,
|
|
|
|
|
table.acronym)
|
|
|
|
|
_name = soundex(str(name))
|
|
|
|
|
for row in rows:
|
|
|
|
|
if (_name == soundex(row.name)) or \
|
|
|
|
|
(_name == soundex(row.acronym)):
|
|
|
|
|
result.append(row)
|
|
|
|
|
|
|
|
|
|
if len(reply) == 0:
|
|
|
|
|
return T("No Match")
|
|
|
|
|
|
|
|
|
|
elif len(result) > 1:
|
|
|
|
|
return T("Multiple Matches")
|
|
|
|
|
|
|
|
|
|
else:
|
|
|
|
|
# Single Match
|
|
|
|
|
org = result[0]
|
|
|
|
|
reply = "%s %s (%s) " % (reply, org.name,
|
|
|
|
|
T("Organization"))
|
|
|
|
|
if "phone" in pquery:
|
|
|
|
|
reply = reply + "Phone->" + str(org.phone)
|
|
|
|
|
if "office" in pquery:
|
|
|
|
|
otable = s3db.org_office
|
|
|
|
|
query = (otable.organisation_id == org.id) & \
|
|
|
|
|
(s3_accessible_query("read", otable))
|
|
|
|
|
office = db(query).select(otable.address,
|
|
|
|
|
limitby=(0, 1)).first()
|
|
|
|
|
reply = reply + "Address->" + office.address
|
|
|
|
|
|
|
|
|
|
return reply
|
|
|
|
|
|
|
|
|
|
# -------------------------------------------------------------------------
|
|
|
|
|
def parse_ireport(self, message):
|
|
|
|
|
"""
|
|
|
|
|
Parse Messages directed to the IRS Module
|
|
|
|
|
- logging new incidents
|
|
|
|
|
- responses to deployment requests
|
|
|
|
|
"""
|
|
|
|
|
|
|
|
|
|
message_body = message.body
|
|
|
|
|
if not message_body:
|
|
|
|
|
return None
|
|
|
|
|
|
|
|
|
|
(lat, lon, code, text) = current.msg.parse_opengeosms(message_body)
|
|
|
|
|
|
|
|
|
|
if code == "SI":
|
|
|
|
|
# Create New Incident Report
|
|
|
|
|
reply = self._create_ireport(lat, lon, text)
|
|
|
|
|
else:
|
|
|
|
|
# Is this a Response to a Deployment Request?
|
|
|
|
|
words = message_body.split(" ")
|
|
|
|
|
text = ""
|
|
|
|
|
reponse = ""
|
|
|
|
|
report_id = None
|
|
|
|
|
comments = False
|
|
|
|
|
for word in words:
|
|
|
|
|
if "SI#" in word and not ireport:
|
|
|
|
|
report = word.split("#")[1]
|
|
|
|
|
report_id = int(report)
|
|
|
|
|
elif (soundex(word) == soundex("Yes")) and report_id \
|
|
|
|
|
and not comments:
|
|
|
|
|
response = True
|
|
|
|
|
comments = True
|
|
|
|
|
elif soundex(word) == soundex("No") and report_id \
|
|
|
|
|
and not comments:
|
|
|
|
|
response = False
|
|
|
|
|
comments = True
|
|
|
|
|
elif comments:
|
|
|
|
|
text += word + " "
|
|
|
|
|
|
|
|
|
|
if report_id:
|
|
|
|
|
reply = self._respond_drequest(message, report_id, response, text)
|
|
|
|
|
else:
|
|
|
|
|
reply = None
|
|
|
|
|
|
|
|
|
|
return reply
|
|
|
|
|
|
|
|
|
|
# -------------------------------------------------------------------------
|
|
|
|
|
@staticmethod
|
|
|
|
|
def _create_ireport(lat, lon, text):
|
|
|
|
|
"""
|
|
|
|
|
Create New Incident Report
|
|
|
|
|
"""
|
|
|
|
|
|
|
|
|
|
s3db = current.s3db
|
|
|
|
|
rtable = s3db.irs_ireport
|
|
|
|
|
gtable = s3db.gis_location
|
|
|
|
|
info = text.split(" ")
|
|
|
|
|
name = info[len(info) - 1]
|
|
|
|
|
category = ""
|
|
|
|
|
for a in range(0, len(info) - 1):
|
|
|
|
|
category = category + info[a] + " "
|
|
|
|
|
|
|
|
|
|
#@ToDo: Check for an existing location in DB
|
|
|
|
|
#records = db(gtable.id>0).select(gtable.id, \
|
|
|
|
|
# gtable.lat,
|
|
|
|
|
# gtable.lon)
|
|
|
|
|
#for record in records:
|
|
|
|
|
# try:
|
|
|
|
|
# if "%.6f"%record.lat == str(lat) and \
|
|
|
|
|
# "%.6f"%record.lon == str(lon):
|
|
|
|
|
# location_id = record.id
|
|
|
|
|
# break
|
|
|
|
|
# except:
|
|
|
|
|
# pass
|
|
|
|
|
|
|
|
|
|
location_id = gtable.insert(name="Incident:%s" % name,
|
|
|
|
|
lat=lat,
|
|
|
|
|
lon=lon)
|
|
|
|
|
rtable.insert(name=name,
|
|
|
|
|
message=text,
|
|
|
|
|
category=category,
|
|
|
|
|
location_id=location_id)
|
|
|
|
|
|
|
|
|
|
# @ToDo: Include URL?
|
|
|
|
|
reply = "Incident Report Logged!"
|
|
|
|
|
return reply
|
|
|
|
|
|
|
|
|
|
# -------------------------------------------------------------------------
|
|
|
|
|
@staticmethod
|
|
|
|
|
def _respond_drequest(message, report_id, response, text):
|
|
|
|
|
"""
|
|
|
|
|
Parse Replies To Deployment Request
|
|
|
|
|
"""
|
|
|
|
|
|
|
|
|
|
# Can we identify the Human Resource?
|
|
|
|
|
hr_id = S3Parsing().lookup_human_resource(message.from_address)
|
|
|
|
|
if hr_id:
|
|
|
|
|
rtable = current.s3db.irs_ireport_human_resource
|
|
|
|
|
query = (rtable.ireport_id == report_id) & \
|
|
|
|
|
(rtable.human_resource_id == hr_id)
|
|
|
|
|
current.db(query).update(reply=text,
|
|
|
|
|
response=response)
|
|
|
|
|
reply = "Response Logged in the Report (Id: %d )" % report_id
|
|
|
|
|
else:
|
|
|
|
|
reply = None
|
|
|
|
|
|
|
|
|
|
return reply
|
|
|
|
|
|
|
|
|
|
# END =========================================================================
|
