def show_sample_segment(dataset_id):
'''
Show an example row of data
'''
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No dataset Found", 404)
features = get_sample_segment_features(dataset)
keys = list(sorted(features[0]['properties'].keys()))
args = dict(dataset=dataset, uploaded_features=features, uploaded_keys=keys)
return render_template("dataset-02-show-sample-segment.html", **args)
def show_sample_segment(dataset_id):
'''
Show an example row of data
'''
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No dataset Found", 404)
features = get_sample_segment_features(dataset)
keys = list(sorted(features[0]['properties'].keys()))
args = dict(dataset=dataset,
uploaded_features=features,
uploaded_keys=keys)
return render_template("dataset-02-show-sample-segment.html", **args)
def transformed_segments(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
# Download the original segments file
uploaded_features = get_sample_segment_features(dataset)
uploaded_keys = list(sorted(uploaded_features[0]['properties'].keys()))
# Download the transformed segments file
transformed_features = get_sample_transformed_segments_features(dataset)
transformed_keys = list(sorted(transformed_features[0]['properties'].keys()))
# Download the transformed segments messages file
transformed_segments_messages = dataset.id + '/opentrails/segments-messages.json'
data = json.load(datastore.read(transformed_segments_messages))
try:
messages = [(type, id, words) for (type, id, words) in data]
except ValueError:
# Old stored format.
messages = [(type, None, words) for (type, words) in data]
message_types = [message[0] for message in messages]
vars = dict(
dataset = dataset,
messages = messages,
uploaded_keys = uploaded_keys,
uploaded_features = uploaded_features,
transformed_features = transformed_features,
transformed_keys = transformed_keys,
transform_succeeded = bool('error' not in message_types)
)
return render_template('dataset-03-transformed-segments.html', **vars)
def transformed_segments(dataset_id):
datastore = make_datastore(app.config['DATASTORE'])
dataset = get_dataset(datastore, dataset_id)
if not dataset:
return make_response("No Dataset Found", 404)
# Download the original segments file
uploaded_features = get_sample_segment_features(dataset)
uploaded_keys = list(sorted(uploaded_features[0]['properties'].keys()))
# Download the transformed segments file
transformed_features = get_sample_transformed_segments_features(dataset)
transformed_keys = list(
sorted(transformed_features[0]['properties'].keys()))
# Download the transformed segments messages file
transformed_segments_messages = dataset.id + '/opentrails/segments-messages.json'
data = json.load(datastore.read(transformed_segments_messages))
try:
messages = [(type, id, words) for (type, id, words) in data]
except ValueError:
# Old stored format.
messages = [(type, None, words) for (type, words) in data]
message_types = [message[0] for message in messages]
vars = dict(dataset=dataset,
messages=messages,
uploaded_keys=uploaded_keys,
uploaded_features=uploaded_features,
transformed_features=transformed_features,
transformed_keys=transformed_keys,
transform_succeeded=bool('error' not in message_types))
return render_template('dataset-03-transformed-segments.html', **vars)