def get_directory(user, parent_path):
# TODO: Add realm protection.
url_prefix = request.url_root + 'v1'
links = {'self': {'href': request.base_url}}
# Check to make sure the requested path exists.
parent_path = parent_path.strip('/')
parent_path = parent_path + "/"
requested_path = TimeSeriesPath.find({'user_id': user['_id'],
'parent_path': parent_path })
if requested_path and requested_path.count() > 0:
# Get all the timeseries paths that have the specified parent path.
for path in TimeSeriesPath.get_collection().aggregate(
[{'$match': {"user_id": user['_id'], "parent_path": parent_path}},
{'$group': {'_id': {'name':'$name', 'title':'$title'}}}]
)['result']:
links[path['_id']['name']] = { 'href': '%s/%s.json' % (url_prefix,
(parent_path if parent_path else '') + path['_id']['name'])}
# Include the title in the returned data if the path has one set.
if 'title' in path['_id']:
links[path['_id']['name']]['title'] = path['_id']['title']
return json.dumps({'_links': links})
else:
abort(404)
def get_top_level_directory(token, url_prefix):
user = User.find_one({'_id': token['user_id']})
links = {
'self': {
'href': request.base_url,
'title': 'API root'
},
'dimensions.json': {
'href': '%s/dimensions.json' % (url_prefix),
'title': 'dimensions for aggregating leaf data'
}
}
links.update({
datastream: {
'href': '%s/%s.json' % (url_prefix, datastream)
}
for datastream in user['external_tokens'].keys()
})
links.update({
datastream['name']: {
'href': '%s/%s.json' % (url_prefix, datastream['name'])
}
for datastream in TimeSeriesPath.get_collection().find(
{
'parent_path': None,
'user_id': token['user_id'],
'client_id': token['client_id']
})
})
return json.dumps({'_links': links})
def get_directory(user, parent_path):
# TODO: Add realm protection.
url_prefix = request.url_root + 'v1'
links = {'self': {'href': request.base_url}}
# Check to make sure the requested path exists.
parent_path = parent_path.strip('/')
parent_path = parent_path + "/"
requested_path = TimeSeriesPath.find({
'user_id': user['_id'],
'parent_path': parent_path
})
if requested_path and requested_path.count() > 0:
# Get all the timeseries paths that have the specified parent path.
for path in TimeSeriesPath.get_collection().aggregate([{
'$match': {
"user_id": user['_id'],
"parent_path": parent_path
}
}, {
'$group': {
'_id': {
'name': '$name',
'title': '$title'
}
}
}])['result']:
links[path['_id']['name']] = {
'href':
'%s/%s.json' %
(url_prefix,
(parent_path if parent_path else '') + path['_id']['name'])
}
# Include the title in the returned data if the path has one set.
if 'title' in path['_id']:
links[path['_id']['name']]['title'] = path['_id']['title']
return json.dumps({'_links': links})
else:
abort(404)
def get_top_level_directory(token, url_prefix):
user = User.find_one({'_id': token['user_id']})
links = {
'self': {'href': request.base_url, 'title': 'API root'},
'dimensions.json': {
'href': '%s/dimensions.json' % (url_prefix),
'title': 'dimensions for aggregating leaf data'
}
}
links.update({datastream: {
'href': '%s/%s.json' % (url_prefix, datastream)
} for datastream in user['external_tokens'].keys()})
links.update({datastream['name']: {
'href': '%s/%s.json' % (url_prefix, datastream['name'])
} for datastream in TimeSeriesPath.get_collection().find(
{'parent_path': None,
'user_id': token['user_id'],
'client_id': token['client_id']
}
)
})
return json.dumps({'_links': links})
def get_service_data_func(user, parent_path, leaf_name, request,
query_class = UserTimeSeriesQuery):
# Get the parent's title.
if '/' in parent_path.strip('/'):
grandparent_path, parent_name = tuple(parent_path[0:-1].rsplit('/', 1))
parent_title = TimeSeriesPath.get_collection().find(
{'parent_path': grandparent_path+'/', 'name': parent_name}
).distinct('title')
parent_title = parent_title[0] if len(parent_title) > 0 else None
else:
parent_title = None
# Query parameters.
match = json.loads(request.args.get('match', '{}'))
aggregate = json.loads(request.args.get('aggregate', 'null'))
group_by = json.loads(request.args.get('groupBy', 'null'))
if group_by:
sort = [(field, pymongo.ASCENDING) for field in group_by]
else:
group_by = TimeSeriesData.dimensions
# Calculate the min_date and max_date parameters
timestamp_match = {}
min_date = request.args.get('minDate')
if min_date:
try:
min_date = iso8601.parse_date(min_date)
except iso8601.ParseError:
min_date = datetime.datetime.strptime(
min_date, "%Y-%m-%d").replace(tzinfo=pytz.utc)
max_date = request.args.get('maxDate')
if max_date:
try:
max_date = iso8601.parse_date(max_date)
except ParseError:
max_date = datetime.datetime.strptime(
max_date, "%Y-%m-%d").replace(tzinfo=pytz.utc)
sort = json.loads(
request.args.get('sort', '{"year":1, "month":1, "week":1, "day":1}'),
object_pairs_hook = collections.OrderedDict)
query = query_class(user, parent_path, leaf_name, match = match,
group_by = group_by, aggregate = aggregate, min_date = min_date,
max_date = max_date, sort = sort, continuous = json.loads(
request.args.get('continuous', 'false')))
try:
links = {'self': {'href': request.base_url}}
if parent_title:
links['self']['title'] = '%s %s' % (leaf_name[0:-1], parent_title)
return json.dumps({
'_links': links,
'data': query.get_data()
})
except PathNotFoundException:
# Check for the last complete pull of the requested data.
# If the data has not been pulled yet, say so.
#if LastCustomDataPull.find({'path': parent_path.strip('/')+'/',
#'user_id': user['_id']}).count() == 0:
# abort(404)
abort(404)
def get_service_data_func(user,
parent_path,
leaf_name,
request,
query_class=UserTimeSeriesQuery):
# Get the parent's title.
if '/' in parent_path.strip('/'):
grandparent_path, parent_name = tuple(parent_path[0:-1].rsplit('/', 1))
parent_title = TimeSeriesPath.get_collection().find({
'parent_path':
grandparent_path + '/',
'name':
parent_name
}).distinct('title')
parent_title = parent_title[0] if len(parent_title) > 0 else None
else:
parent_title = None
# Query parameters.
match = json.loads(request.args.get('match', '{}'))
aggregate = json.loads(request.args.get('aggregate', 'null'))
group_by = json.loads(request.args.get('groupBy', 'null'))
if group_by:
sort = [(field, pymongo.ASCENDING) for field in group_by]
else:
group_by = TimeSeriesData.dimensions
# Calculate the min_date and max_date parameters
timestamp_match = {}
min_date = request.args.get('minDate')
if min_date:
try:
min_date = iso8601.parse_date(min_date)
except iso8601.ParseError:
min_date = datetime.datetime.strptime(
min_date, "%Y-%m-%d").replace(tzinfo=pytz.utc)
max_date = request.args.get('maxDate')
if max_date:
try:
max_date = iso8601.parse_date(max_date)
except ParseError:
max_date = datetime.datetime.strptime(
max_date, "%Y-%m-%d").replace(tzinfo=pytz.utc)
sort = json.loads(request.args.get(
'sort', '{"year":1, "month":1, "week":1, "day":1}'),
object_pairs_hook=collections.OrderedDict)
query = query_class(user,
parent_path,
leaf_name,
match=match,
group_by=group_by,
aggregate=aggregate,
min_date=min_date,
max_date=max_date,
sort=sort,
continuous=json.loads(
request.args.get('continuous', 'false')))
try:
links = {'self': {'href': request.base_url}}
if parent_title:
links['self']['title'] = '%s %s' % (leaf_name[0:-1], parent_title)
return json.dumps({'_links': links, 'data': query.get_data()})
except PathNotFoundException:
# Check for the last complete pull of the requested data.
# If the data has not been pulled yet, say so.
#if LastCustomDataPull.find({'path': parent_path.strip('/')+'/',
#'user_id': user['_id']}).count() == 0:
# abort(404)
abort(404)