def calculate_network_metrics(nodes_map, posts_map, comments_map, network, timestep_size, timestep_window, timestep_count):
# Parameters
timestep, timesteps_range = calculate_timestamp_range(network, timestep_size, timestep_window, timestep_count)
# build the whole network to use for metrics
directed_multiedge_network = build_network(network)
logging.info("network built")
# calculate the metrics
network['metrics'] = compute_all_metrics(nodes_map, posts_map, comments_map, directed_multiedge_network, timesteps_range, timestep, timestep_window)
logging.info("network metrics done")
return directed_multiedge_network
def calculate_network_metrics(nodes_map, posts_map, comments_map, network,
timestep_size, timestep_window, timestep_count):
# Parameters
timestep, timesteps_range = calculate_timestamp_range(
network, timestep_size, timestep_window, timestep_count)
# build the whole network to use for metrics
directed_multiedge_network = build_network(network)
logging.info("network built")
# calculate the metrics
network['metrics'] = compute_all_metrics(nodes_map, posts_map,
comments_map,
directed_multiedge_network,
timesteps_range, timestep,
timestep_window)
logging.info("network metrics done")
return directed_multiedge_network
def main():
users_resource, \
nodes_resource, \
comments_resource, \
node_title_field, \
timestep_size, \
timestep_window, \
timestep_count, \
username, \
password, \
extraction_method, \
admin_roles, \
exclude_isolated, \
dumpto, \
destination_path, \
create_datapackage, \
datapackage_title, \
license_type, \
license_url, \
site_url = parse_options(sys.argv[1:])
generated = datetime.now()
logging.info("Network processing - started")
# Load the files
allusers, allnodes, allcomments = load_files(users_resource, nodes_resource, comments_resource, username, password, extraction_method, dumpto, generated)
# extract a normalized set of data
nodes_map, posts_map, comments_map = eu.extract.normalized_data(allusers, allnodes, allcomments, node_title_field, admin_roles, exclude_isolated)
# this is the network object
# going forward it should be read from a serialized format to handle caching
network = {}
# Add some file metadata
network['meta'] = {}
# Timestamp of the file generation (to show in the dashboard)
network['meta']['generated'] = int(generated.strftime("%s"))
network['edges'] = extract_edges(nodes_map, comments_map)
# filter out nodes that have not participated to the full:conversations
inactive_nodes = [ v for v in nodes_map.values() if not v['active'] ]
logging.info("inactive nodes: %(n)i" % {'n':len(inactive_nodes)})
network['nodes'] = [ v for v in nodes_map.values() if v['active'] ]
# Parameters
timestep, timesteps_range = calculate_timestamp_range(network, timestep_size, timestep_window, timestep_count)
# build the whole network to use for metrics
directed_multiedge_network=build_network(network)
logging.info("network built")
# calculate the metrics
network['metrics'] = compute_all_metrics(nodes_map, posts_map, comments_map, directed_multiedge_network, timesteps_range, timestep, timestep_window)
logging.info("network metrics done")
tag = generated.strftime('%Y-%m-%d-%H-%M-%S')
tagged_dir = os.path.join(destination_path, 'data', tag)
# dump the network to a json file, minified
eu.resource.save(network, 'network.min.json', tagged_dir)
logging.info("network dumped")
# create the datapackage
if create_datapackage:
try:
# load the datapackage template
basepath = os.path.realpath(os.path.join(os.getcwd(), os.path.dirname(__file__)))
with open(os.path.join(basepath, "datapackage_template.json"), 'r') as datafile:
datapackage = json.load(datafile)
datapackage['license'] = {'type': license_type, 'url': license_url}
if datapackage_title:
datapackage['title'] = datapackage_title
datapackage['last_updated'] = generated.strftime('%Y-%m-%dT%H:%M:%S')
datapackage['resources'][0]['url'] = site_url
datapackage['resources'][0]['path'] = os.path.join('data', tag, 'network.gexf')
# dump the gexf file
gexf_file = os.path.join(tagged_dir, 'network.gexf')
eu.gexf.save_gexf(directed_multiedge_network, gexf_file)
# dump the datapackage
eu.resource.save(datapackage, 'datapackage.json', destination_path, True)
logging.info("datapackage saved")
except:
logging.error("Error reading the datapackage template")
create_datapackage = False
eu.resource.save({'last': tag, 'datapackage': create_datapackage}, 'last.json', destination_path)
logging.info("Completed")
def parse():
node_title_field = 'uid'
timestep_size = 60 * 60 * 24 * 7
timestep_window = 1
timestep_count = 20
username = None
password = None
extraction_method = 'nested'
admin_roles = set()
exclude_isolated = False
generated = datetime.now()
source_json = request.form['source'] if request.form.has_key(
'source') else None
if not source_json:
raise InvalidUsage('Missing parameters', status_code=400)
# Download the remote URL
users, nodes, comments = parse_cif(source_json, 'simple')
# extract a normalized set of data
nodes_map, posts_map, comments_map = eu.extract.normalized_data(
users, nodes, comments, node_title_field, admin_roles,
exclude_isolated)
# this is the network object
# going forward it should be read from a serialized format to handle caching
network = {}
# Add some file metadata
network['meta'] = {}
# Timestamp of the file generation (to show in the dashboard)
network['meta']['generated'] = int(generated.strftime("%s"))
network['edges'] = extract_edges(nodes_map, comments_map)
# filter out nodes that have not participated to the full:conversations
inactive_nodes = [v for v in nodes_map.values() if not v['active']]
logging.info("inactive nodes: %(n)i" % {'n': len(inactive_nodes)})
network['nodes'] = [v for v in nodes_map.values() if v['active']]
# Parameters
timestep, timesteps_range = calculate_timestamp_range(
network, timestep_size, timestep_window, timestep_count)
# build the whole network to use for metrics
directed_multiedge_network = build_network(network)
logging.info("network built")
# calculate the metrics
network['metrics'] = compute_all_metrics(nodes_map, posts_map,
comments_map,
directed_multiedge_network,
timesteps_range, timestep,
timestep_window)
logging.info("network metrics done")
# save the results
tag = generated.strftime('%Y-%m-%d-%H-%M-%S')
destination_path = os.path.abspath(os.path.join(static_path, "json"))
tagged_dir = os.path.join(destination_path, "data", tag)
# dump the network to a json file, minified
eu.resource.save(network, 'network.min.json', tagged_dir)
logging.info("network dumped")
# dump the gexf file
gexf_file = os.path.join(tagged_dir, 'network.gexf')
eu.gexf.save_gexf(directed_multiedge_network, gexf_file)
# return the result URL
base_path = os.path.join("/json/data", tag)
result_path = os.path.join(base_path, "network.min.json")
logging.info("Completed: %(s)s" % {'s': result_path})
return jsonify({
'last': tag,
'base_path': base_path,
'metrics': 'network.min.json',
'gexf': 'network.gexf'
})
def main():
users_resource, \
nodes_resource, \
comments_resource, \
node_title_field, \
timestep_size, \
timestep_window, \
timestep_count, \
username, \
password, \
extraction_method, \
admin_roles, \
exclude_isolated, \
dumpto, \
destination_path, \
create_datapackage, \
datapackage_title, \
license_type, \
license_url, \
site_url = parse_options(sys.argv[1:])
generated = datetime.now()
logging.info("Network processing - started")
# Load the files
allusers, allnodes, allcomments = load_files(users_resource,
nodes_resource,
comments_resource, username,
password, extraction_method,
dumpto, generated)
# extract a normalized set of data
nodes_map, posts_map, comments_map = eu.extract.normalized_data(
allusers, allnodes, allcomments, node_title_field, admin_roles,
exclude_isolated)
# this is the network object
# going forward it should be read from a serialized format to handle caching
network = {}
# Add some file metadata
network['meta'] = {}
# Timestamp of the file generation (to show in the dashboard)
network['meta']['generated'] = int(generated.strftime("%s"))
network['edges'] = extract_edges(nodes_map, comments_map)
# filter out nodes that have not participated to the full:conversations
inactive_nodes = [v for v in nodes_map.values() if not v['active']]
logging.info("inactive nodes: %(n)i" % {'n': len(inactive_nodes)})
network['nodes'] = [v for v in nodes_map.values() if v['active']]
# Parameters
timestep, timesteps_range = calculate_timestamp_range(
network, timestep_size, timestep_window, timestep_count)
# build the whole network to use for metrics
directed_multiedge_network = build_network(network)
logging.info("network built")
# calculate the metrics
network['metrics'] = compute_all_metrics(nodes_map, posts_map,
comments_map,
directed_multiedge_network,
timesteps_range, timestep,
timestep_window)
logging.info("network metrics done")
tag = generated.strftime('%Y-%m-%d-%H-%M-%S')
tagged_dir = os.path.join(destination_path, 'data', tag)
# dump the network to a json file, minified
eu.resource.save(network, 'network.min.json', tagged_dir)
logging.info("network dumped")
# create the datapackage
if create_datapackage:
try:
# load the datapackage template
basepath = os.path.realpath(
os.path.join(os.getcwd(), os.path.dirname(__file__)))
with open(
os.path.join(basepath, "utils/datapackage_template.json"),
'r') as datafile:
datapackage = json.load(datafile)
datapackage['license'] = {
'type': license_type,
'url': license_url
}
if datapackage_title:
datapackage['title'] = datapackage_title
datapackage['last_updated'] = generated.strftime(
'%Y-%m-%dT%H:%M:%S')
datapackage['resources'][0]['url'] = site_url
datapackage['resources'][0]['path'] = os.path.join(
'data', tag, 'network.gexf')
# dump the gexf file
gexf_file = os.path.join(tagged_dir, 'network.gexf')
eu.gexf.save_gexf(directed_multiedge_network, gexf_file)
# dump the datapackage
eu.resource.save(datapackage, 'datapackage.json',
destination_path, True)
logging.info("datapackage saved")
except Exception, e:
logging.error(e)
logging.error("Error reading the datapackage template")
create_datapackage = False
