def sendMail(body):
AccessKeyID = 'AKIAIEE65XFVJKO6HIJA'
SecretAccessKey = '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'
amazonSes = AmazonSES(AccessKeyID, SecretAccessKey)
message = EmailMessage()
message.subject = 'House hunt'
message.bodyText = body
result = amazonSes.sendEmail('*****@*****.**', '*****@*****.**', message)
def callservice(conn, schemaname, servicename, querystring):
try:
t1 = datetime.datetime.now()
# log the request - not enabled at the moment because of permission issues
# logging.basicConfig(filename='/srv/www/dopa-services/cgi-bin/logs/REST_Services_Log.log', level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s',)
# logging.info("REST REQUEST: " + web.ctx.home + web.ctx.path + web.ctx.query)
# PARSE THE STANDARD OPTIONAL INPUT PARAMETERS
# get the input parameters
params = getQueryStringParams(querystring) # the unquoting is to handle encoded parameters (like from extJS - 1,2,3 as a parameter becomes 1%2C2%2C3
# get the standard optional parameters from the url
format = params.setdefault('format', 'json')
fields = params.setdefault('fields', '').split(",") # fields will be passed as an array, e.g. iucn_species_id,wdpa_id
includemetadata = params.setdefault('includemetadata', 'true')
metadataName = params.setdefault('metadataname', 'metadata')
rootName = params.setdefault('rootname', 'records')
parseparams = params.setdefault('parseparams', 'true')
sortField = params.setdefault('sortfield', '')
decimalPlaceLimit = params.setdefault('dplimit', '2')
isHadoop = ('true' if (servicename[-2:] == '_h') else 'false') # if the service is a call to a hadoop method then set a flag
# remove the standard optional parameters from the dictionary so we are left with just the parameters required for the function
del (params['format'], params['fields'], params['includemetadata'], params['parseparams'], params['metadataname'], params['rootname'], params['sortfield'], params['dplimit'])
if 'callback' in params.keys():
del(params['callback'])
# check if the service name is valid
if not (isValidServiceName(servicename)):
raise RESTServicesError('Invalid servicename')
# authorise with ecas if needed
# if requiresAuthentication(servicename):
# if isAuthenticated() == False:
# web.ctx.status = '401 Unauthorized'
# web.header("Content-Type", "text/html")
# return "<html><head></html><body><h1>Authentication required</h1></body></html>"
# if it is a Hadoop query then we need to run if first before we actually use the values to get the data from postgresql
if (isHadoop.lower() == 'true'):
hadoopData = runHadoopQuery(conn, servicename, params)
if hadoopData == '[]': hadoopData = '[-1]'
servicename = "_" + servicename # now call the postgresql function
params.clear()
params['species_ids'] = str(hadoopData)[1:-1];
# PARSE AND CONVERT THE DATA TYPES OF THE OTHER INPUT PARAMETERS
# get all the parameters for the function from postgresql
conn.cur.callproc('utils.dopa_rest_getparams', [servicename])
# get the function parameters as a string and split this into a list, e.g. wdpa_id integer, presence_id integer[] --> ['wdpa_id integer', ' presence_id integer[]']
functionparams = conn.cur.fetchone()
hasparams = True if functionparams[0] else False
if hasparams:
functionparams = functionparams[0].split(',')
# get the names of the function parameters which are array types
arrayparamnames = [p.strip().split(" ")[0] for p in functionparams if '[' in p]
# convert the array values into lists
for key in params.keys():
if key in arrayparamnames:
strlist = params[key].split(",")
isnum = isNumeric(strlist[0])
if isnum:
params[key] = [int(s) for s in strlist]
else:
params[key] = strlist
# get the full list of function parameter names
functionparamnames = [p.strip().split(" ")[0] for p in functionparams]
# check that all parameters are correct
invalidparamnames = [n for n in params.keys() if n not in functionparamnames]
if invalidparamnames and parseparams == 'true':
raise RESTServicesError('Invalid parameters: ' + ",".join(invalidparamnames))
# put the input parameters in the right order
params = OrderedDict([(n, params[n]) for n in functionparamnames if n in params.keys()])
# GET THE SORT CLAUSE
if sortField != "":
sortClause = ' ORDER BY "' + sortField + '"'
else:
sortClause = ""
# GET THE FIELDS CLAUSE
if fields != ['']:
fieldsClause = ",".join(fields)
else:
fieldsClause = "*"
# RUN THE QUERY
if hasparams :
sql = "SELECT " + fieldsClause + " from " + schemaname + "." + servicename + "(" + ",".join([n + ":=%(" + n + ")s" for n in params]) + ")" + sortClause + ";" # run the query using named parameters
conn.cur.execute(sql, params)
else:
sql = "SELECT * from " + schemaname + "." + servicename + "()" + sortClause + ";"
conn.cur.execute(sql)
rows = conn.cur.fetchall()
# PROCESS THE ROWS AND WRITE THEM BACK TO THE CLIENT
conn.cur.close()
t2 = datetime.datetime.now()
# METADATA SECTION OF RESPONSE
allfields = [d.name for d in conn.cur.description]
if (fields == ['']): fields = allfields
fieldcount = len(fields)
fieldsdict = [dict([("name", d.name), ("type", gettypefromtypecode(d.type_code))]) for d in conn.cur.description if (d.name in fields)]
if len(fieldsdict) != len(fields):
raise RESTServicesError('Invalid output fields')
metadatadict = OrderedDict([("duration", str(t2 - t1)), ("error", None), ("idProperty", conn.cur.description[0].name), ("successProperty", 'success'), ("totalProperty", 'recordCount'), ("success", True), ("recordCount", int(conn.cur.rowcount)), ("root", rootName), ("fields", fieldsdict)])
# RECORDS SECTION OF THE RESPONSE
# parse the float values and set the correct number of decimal places according to the decimalPlaceLimit variable - dont include lat/long fields as these must have more decimal places
floatColumns = [i for i, d in enumerate(fieldsdict) if d['type'] == 'float' and d['name'] not in ['lat', 'lng']]
if len(floatColumns) > 0:
for floatColumn in floatColumns:
for row in rows:
if type(row[floatColumn]) != NoneType: # check that the data is not null
row[floatColumn] = round(row[floatColumn], int(decimalPlaceLimit))
# return the data
colsRequired = [allfields.index(field) for field in fields]
if format in ['json', 'array']:
if format == 'json':
recordsdict = [OrderedDict([(allfields[col], row[col]) for col in range(fieldcount) if (col in colsRequired)]) for row in rows]
else:
recordsdict = [[row[col] for col in range(fieldcount) if (col in colsRequired)] for row in rows]
json.encoder.FLOAT_REPR = lambda f: ("%.14g" % f) # this specifies how many decimal places are returned in the json with float values - currently set to 14 - good enough for returning lat/long coordinates
if (includemetadata.lower() == 'true'):
responsejson = json.dumps(dict([(metadataName, metadatadict), (rootName, recordsdict)]), indent=1, cls=CustomJSONEncoder)
else:
responsejson = json.dumps(dict([(rootName, recordsdict)]), indent=1, cls=CustomJSONEncoder)
return getJsonResponse(responsejson)
elif format in ['xml', 'xmlverbose']:
root = etree.Element('results')
recordsnode = etree.Element(rootName)
recordsdicts = [OrderedDict([(allfields[col], str(row[col]).decode('utf-8')) for col in range(fieldcount) if (col in colsRequired) and str(row[col]) != 'None']) for row in rows ] #
if format == 'xml':
recordselements = [etree.Element('record', element) for element in recordsdicts]
for recordelement in recordselements:
recordsnode.append(recordelement)
else:
for recordelement in recordsdicts:
record = etree.Element('record')
for (n, v) in recordelement.items():
el = etree.Element(n)
el.text = v
record.append(el)
recordsnode.append(record)
root.append(recordsnode)
web.header("Content-Type", "text/xml")
# web.header("Content-Type", "application/Excel") # doesnt work!
# web.header("Content-Disposition", "attachment; filename=test.xml")
return etree.tostring(root)
elif format == 'sms':
_twilio = twilio()
client = TwilioRestClient(_twilio.twilio_account_sid, _twilio.twilio_auth_token) # use the twilio api account
bodystr = 'Hi Andrew - test species data: '
bodystr = bodystr + str(rows[0])[:160 - len(bodystr)]
message = client.sms.messages.create(to="+393668084920", from_="+19712647662", body=bodystr) # my mobile
return message
elif format == 'email':
_amazon_ses = amazon_ses()
amazonSes = AmazonSES(_amazon_ses.AccessKeyID, _amazon_ses.SecretAccessKey) # use the amazon simple email service api account
message = EmailMessage()
message.subject = 'JRC REST Services Information Request'
message.bodyHtml = getResultsAsHTML(rows, fieldcount, colsRequired, metadatadict)
result = amazonSes.sendEmail('*****@*****.**', '*****@*****.**', message) # to me
return result
elif format == 'html':
htmlData = getResultsAsHTML(rows, fieldcount, colsRequired, metadatadict)
web.header("Content-Type", "text/html")
return "<html><head></head><body>" + htmlData + "</body></html>"
elif format == 'csv':
data = [[row[col] for col in range(fieldcount) if (col in colsRequired)] for row in rows]
colnames = ",".join([f["name"] for f in metadatadict["fields"]]) + "\n"
output = colnames + "\n".join([p for p in [",".join(h) for h in [[getStringValue(col) for col in row] for row in data]]])
filename = "dataDownload.csv" #hardcoded for now
f = open(r'/tmp/' + filename, 'wb')
f.write(output)
f.close()
web.header("Content-Type", "text/plain")
web.header("Content-Disposition", "attachment; filename=%s" % filename)
return output
elif format == 'pdf':
config = pdfkit.configuration(wkhtmltopdf='/usr/local/bin/wkhtmltopdf')
web.header("Content-Type", "application/pdf")
htmlData = getResultsAsHTML(rows, fieldcount, colsRequired, metadatadict)
return pdfkit.from_string(htmlData.decode('utf8'), False, configuration=config, options={'quiet': '', 'encoding': "UTF-8"})
else:
raise RESTServicesError('Invalid response format: ' + format)
except (RESTServicesError, DataError, ProgrammingError, exceptions.TypeError, IndexError, IntegrityError, AmazonError, OperationalError) as e:
# web.webapi.internalerror() #returns a internal server error 500
t2 = datetime.datetime.now()
msg = "There was an error sending the email. Make sure that the email address has been verified in Amazon Simple Email Services" if type(e) == AmazonError else e.message
logging.error(msg + "\n")
if type(e) == ProgrammingError:
if ("column" in e.message) & ("does not exist" in e.message) & (sortField != ""):
msg = "Invalid sortfield parameter: " + sortField
return returnError(metadataName, rootName, t2 - t1, msg)
def callservice(conn, schemaname, servicename, querystring):
try:
t1 = datetime.datetime.now()
# log the request
logging.basicConfig(
filename='../../htdocs/mstmp/REST_Services_Log.log',
level=logging.INFO,
format='%(asctime)s %(levelname)s %(message)s',
)
# logging.info("REST REQUEST: " + web.ctx.home + web.ctx.path + web.ctx.query)
# PARSE THE STANDARD OPTIONAL INPUT PARAMETERS
# get the input parameters
params = getQueryStringParams(
querystring
) # the unquoting is to handle encoded parameters (like from extJS - 1,2,3 as a parameter becomes 1%2C2%2C3
# get the standard optional parameters from the url
format = params.setdefault('format', 'json')
fields = params.setdefault('fields', '').split(
","
) # fields will be passed as an array, e.g. iucn_species_id,wdpa_id
includemetadata = params.setdefault('includemetadata', 'true')
metadataName = params.setdefault('metadataname', 'metadata')
rootName = params.setdefault('rootname', 'records')
parseparams = params.setdefault('parseparams', 'true')
sortField = params.setdefault('sortfield', '')
decimalPlaceLimit = params.setdefault('dplimit', '2')
isHadoop = (
'true' if (servicename[-2:] == '_h') else 'false'
) # if the service is a call to a hadoop method then set a flag
# remove the standard optional parameters from the dictionary so we are left with just the parameters required for the function
del (params['format'], params['fields'], params['includemetadata'],
params['parseparams'], params['metadataname'], params['rootname'],
params['sortfield'], params['dplimit'])
if 'callback' in params.keys():
del (params['callback'])
# check if the service name is valid
if not (isValidServiceName(servicename)):
raise RESTServicesError('Invalid servicename')
# authorise with ecas if needed
# if requiresAuthentication(servicename):
# if isAuthenticated() == False:
# web.ctx.status = '401 Unauthorized'
# web.header("Content-Type", "text/html")
# return "<html><head></html><body><h1>Authentication required</h1></body></html>"
# if it is a Hadoop query then we need to run if first before we actually use the values to get the data from postgresql
if (isHadoop.lower() == 'true'):
hadoopData = runHadoopQuery(conn, servicename, params)
if hadoopData == '[]': hadoopData = '[-1]'
servicename = "_" + servicename # now call the postgresql function
params.clear()
params['species_ids'] = str(hadoopData)[1:-1]
# PARSE AND CONVERT THE DATA TYPES OF THE OTHER INPUT PARAMETERS
# get all the parameters for the function from postgresql
conn.cur.callproc('utils.dopa_rest_getparams', [servicename])
# get the function parameters as a string and split this into a list, e.g. wdpa_id integer, presence_id integer[] --> ['wdpa_id integer', ' presence_id integer[]']
functionparams = conn.cur.fetchone()
hasparams = True if functionparams[0] else False
if hasparams:
functionparams = functionparams[0].split(',')
# get the names of the function parameters which are array types
arrayparamnames = [
p.strip().split(" ")[0] for p in functionparams if '[' in p
]
# convert the array values into lists
for key in params.keys():
if key in arrayparamnames:
strlist = params[key].split(",")
isnum = isNumeric(strlist[0])
if isnum:
params[key] = [int(s) for s in strlist]
else:
params[key] = strlist
# get the full list of function parameter names
functionparamnames = [
p.strip().split(" ")[0] for p in functionparams
]
# check that all parameters are correct
invalidparamnames = [
n for n in params.keys() if n not in functionparamnames
]
if invalidparamnames and parseparams == 'true':
raise RESTServicesError('Invalid parameters: ' +
",".join(invalidparamnames))
# put the input parameters in the right order
params = OrderedDict([(n, params[n]) for n in functionparamnames
if n in params.keys()])
# GET THE SORT CLAUSE
if sortField != "":
sortClause = ' ORDER BY "' + sortField + '"'
else:
sortClause = ""
# GET THE FIELDS CLAUSE
if fields != ['']:
fieldsClause = ",".join(fields)
else:
fieldsClause = "*"
# RUN THE QUERY
if hasparams:
sql = "SELECT " + fieldsClause + " from " + schemaname + "." + servicename + "(" + ",".join(
[n + ":=%(" + n + ")s" for n in params]
) + ")" + sortClause + ";" # run the query using named parameters
conn.cur.execute(sql, params)
else:
sql = "SELECT * from " + schemaname + "." + servicename + "()" + sortClause + ";"
conn.cur.execute(sql)
rows = conn.cur.fetchall()
# PROCESS THE ROWS AND WRITE THEM BACK TO THE CLIENT
conn.cur.close()
t2 = datetime.datetime.now()
# METADATA SECTION OF RESPONSE
allfields = [d.name for d in conn.cur.description]
if (fields == ['']): fields = allfields
fieldcount = len(fields)
fieldsdict = [
dict([("name", d.name),
("type", gettypefromtypecode(d.type_code))])
for d in conn.cur.description if (d.name in fields)
]
if len(fieldsdict) != len(fields):
raise RESTServicesError('Invalid output fields')
metadatadict = OrderedDict([
("duration", str(t2 - t1)), ("error", None),
("idProperty", conn.cur.description[0].name),
("successProperty", 'success'), ("totalProperty", 'recordCount'),
("success", True), ("recordCount", int(conn.cur.rowcount)),
("root", rootName), ("fields", fieldsdict)
])
# RECORDS SECTION OF THE RESPONSE
# parse the float values and set the correct number of decimal places according to the decimalPlaceLimit variable - dont include lat/long fields as these must have more decimal places
floatColumns = [
i for i, d in enumerate(fieldsdict)
if d['type'] == 'float' and d['name'] not in ['lat', 'lng']
]
if len(floatColumns) > 0:
for floatColumn in floatColumns:
for row in rows:
if type(row[floatColumn]
) != NoneType: # check that the data is not null
row[floatColumn] = round(row[floatColumn],
int(decimalPlaceLimit))
# return the data
colsRequired = [allfields.index(field) for field in fields]
if format in ['json', 'array']:
if format == 'json':
recordsdict = [
OrderedDict([(allfields[col], row[col])
for col in range(fieldcount)
if (col in colsRequired)]) for row in rows
]
else:
recordsdict = [[
row[col] for col in range(fieldcount)
if (col in colsRequired)
] for row in rows]
json.encoder.FLOAT_REPR = lambda f: (
"%.14g" % f
) # this specifies how many decimal places are returned in the json with float values - currently set to 14 - good enough for returning lat/long coordinates
if (includemetadata.lower() == 'true'):
responsejson = json.dumps(dict([(metadataName, metadatadict),
(rootName, recordsdict)]),
indent=1,
cls=CustomJSONEncoder)
else:
responsejson = json.dumps(dict([(rootName, recordsdict)]),
indent=1,
cls=CustomJSONEncoder)
return getJsonResponse(responsejson)
elif format in ['xml', 'xmlverbose']:
root = etree.Element('results')
recordsnode = etree.Element(rootName)
recordsdicts = [
OrderedDict([
(allfields[col], str(row[col]).decode('utf-8'))
for col in range(fieldcount)
if (col in colsRequired) and str(row[col]) != 'None'
]) for row in rows
] #
if format == 'xml':
recordselements = [
etree.Element('record', element)
for element in recordsdicts
]
for recordelement in recordselements:
recordsnode.append(recordelement)
else:
for recordelement in recordsdicts:
record = etree.Element('record')
for (n, v) in recordelement.items():
el = etree.Element(n)
el.text = v
record.append(el)
recordsnode.append(record)
root.append(recordsnode)
web.header("Content-Type", "text/xml")
# web.header("Content-Type", "application/Excel") # doesnt work!
# web.header("Content-Disposition", "attachment; filename=test.xml")
return etree.tostring(root)
elif format == 'sms':
_twilio = twilio()
client = TwilioRestClient(
_twilio.twilio_account_sid,
_twilio.twilio_auth_token) # use the twilio api account
bodystr = 'Hi Andrew - test species data: '
bodystr = bodystr + str(rows[0])[:160 - len(bodystr)]
message = client.sms.messages.create(to="+393668084920",
from_="+19712647662",
body=bodystr) # my mobile
return message
elif format == 'email':
_amazon_ses = amazon_ses()
amazonSes = AmazonSES(
_amazon_ses.AccessKeyID, _amazon_ses.SecretAccessKey
) # use the amazon simple email service api account
message = EmailMessage()
message.subject = 'JRC REST Services Information Request'
message.bodyHtml = getResultsAsHTML(rows, fieldcount, colsRequired,
metadatadict)
result = amazonSes.sendEmail('*****@*****.**',
'*****@*****.**',
message) # to me
return result
elif format == 'html':
htmlData = getResultsAsHTML(rows, fieldcount, colsRequired,
metadatadict)
web.header("Content-Type", "text/html")
return "<html><head></head><body>" + htmlData + "</body></html>"
elif format == 'csv':
data = [[
row[col] for col in range(fieldcount) if (col in colsRequired)
] for row in rows]
colnames = ",".join([f["name"]
for f in metadatadict["fields"]]) + "\n"
output = colnames + "\n".join([
p for p in [
",".join(h) for h in [[getStringValue(col) for col in row]
for row in data]
]
])
filename = "dataDownload.csv" #hardcoded for now
f = open(r'../../htdocs/mstmp/' + filename, 'wb')
f.write(output)
f.close()
web.header("Content-Type", "text/plain")
web.header("Content-Disposition",
"attachment; filename=%s" % filename)
return output
elif format == 'pdf':
config = pdfkit.configuration(
wkhtmltopdf='/usr/local/bin/wkhtmltopdf')
web.header("Content-Type", "application/pdf")
htmlData = getResultsAsHTML(rows, fieldcount, colsRequired,
metadatadict)
return pdfkit.from_string(htmlData.decode('utf8'),
False,
configuration=config,
options={
'quiet': '',
'encoding': "UTF-8"
})
else:
raise RESTServicesError('Invalid response format: ' + format)
except (RESTServicesError, DataError, ProgrammingError,
exceptions.TypeError, IndexError, IntegrityError, AmazonError,
OperationalError) as e:
# web.webapi.internalerror() #returns a internal server error 500
t2 = datetime.datetime.now()
msg = "There was an error sending the email. Make sure that the email address has been verified in Amazon Simple Email Services" if type(
e) == AmazonError else e.message
logging.error(msg + "\n")
if type(e) == ProgrammingError:
if ("column" in e.message) & ("does not exist"
in e.message) & (sortField != ""):
msg = "Invalid sortfield parameter: " + sortField
return returnError(metadataName, rootName, t2 - t1, msg)
def send(self, from_email, user_email, user_msg):
AmazonSES.__init__(self, self.settings["AmazonAccessKeyID"], self.settings["AmazonSecretAccessKey"])
self.sendEmail(from_email, user_email, user_msg)