Report V

Writing a report and archiving it is all well and good, but what would be really amazing is if we could visualise history with plots and charts. So let's do that now.

image

For this example, I'll be using pygal so go ahead and install this if you would like to follow along. Reusing ArchiveValidators from the previous example, let's make some history.

import os
import random
import datetime
import pyblish.api
class FlipCoin(pyblish.api.ContextPlugin):
def process(self, context):
if random.random() > 0.5:
raise Exception("Failed")
class ArchiveValidation(pyblish.api.ContextPlugin):
...
pyblishOpi.register_plugin(FlipCoin)
pyblish.api.register_plugin(ArchiveValidation)
import pyblish.util
pyblish.util.publish()

Run this at least 10 times so we have enough reports to work with. Next we will retrieve the last 10 publishes and draw a graph representing which time was successful and which was not.

Here is the graph-drawing source code.

import os
import pygal
input_path = os.path.join(os.path.expanduser("~"), "logs")
output_path = os.path.join(input_path, "graph.svg")
results = list()
for fname in os.listdir(input_path)[-10:]:
abspath = os.path.join(input_path, fname)
with open(abspath) as f:
lines = f.readlines()[2:] # Top two are headers
results.append([fname, any(line.startswith("0") for line in lines)])
chart = pygal.StackedLine(fill=True,
interpolate='cubic',
style=pygal.style.LightSolarizedStyle)
chart.title = 'Successful publishes over time'
chart.x_labels = [str(results.index(r)) for r in results]
chart.add("Publish", [r[1] for r in results])
chart.render_to_file(output_path)

Putting it all together, here is the final source code.

import os
import random
import datetime
import pygal
import pyblish.api
class FlipCoin(pyblish.api.ContextPlugin):
def process(self, context):
if random.random() > 0.5:
raise Exception("Failed")
class ArchiveValidation(pyblish.api.ContextPlugin):
# Run after all validators have finished
order = pyblish.api.ValidatorOrder + 0.1
def process(self, context):
formatted_results = self.format_results(context)
# Compute output directory
date = datetime.datetime.today().strftime("%Y%m%d-%H%M%S")
output_dir = os.path.join(os.path.expanduser("~"), "logs")
output_path = os.path.join(output_dir, date + ".txt")
# Write to disk
if not os.path.exists(output_dir):
os.makedirs(output_dir)
with open(output_path, "w") as f:
# E.g. c:\users\marcus\Documents\logs\20150612-110000.txt
f.write(formatted_results)
# Print rather than log, as this plug-in
# won't be included in the results.
print("Outputted to: %s" % output_dir)
context.data["archiveDir"] = output_dir
def format_results(self, context):
header = "{:<10}{:<40} -> {}".format("Success", "Plug-in", "Instance")
result = "{success:<10}{plugin.__name__:<40} -> {instance}"
error = "{:<10}+-- EXCEPTION: {:<70}"
record = "{:<10}+-- {level}: {message:<70}"
results = list()
for r in context.data["results"]:
# Format summary
results.append(result.format(**r))
# Format log records
for lr in r["records"]:
results.append(record.format("", level=lr.levelname, message=lr.message))
# Format exception (if any)
if r["error"]:
results.append(error.format("", r["error"]))
report = """
{header}
{line}
{results}
"""
return report.format(
header=header,
results="\n".join(results),
line="-" * 70)
class PlotArchive(pyblish.api.ContextPlugin):
# Run after archival
order = pyblish.api.ValidatorOrder + 0.2
def process(self, context):
input_path = context.data["archiveDir"]
output_path = os.path.join(input_path, "graph.svg")
results = list()
for fname in os.listdir(input_path)[-10:]:
abspath = os.path.join(input_path, fname)
with open(abspath) as f:
lines = f.readlines()[2:] # Top two are headers
results.append([fname, any(line.startswith("0") for line in lines)])
chart = pygal.StackedLine(fill=True,
interpolate='cubic',
style=pygal.style.LightSolarizedStyle)
chart.title = 'Successful publishes over time'
chart.x_labels = [str(results.index(r)) for r in results]
chart.add("Publish", [r[1] for r in results])
chart.render_to_file(output_path)
pyblish.api.register_plugin(FlipCoin)
pyblish.api.register_plugin(ArchiveValidation)
pyblish.api.register_plugin(PlotArchive)
import pyblish.util
pyblish.util.publish()
# Outputted to: C:\Users\marcus\logs

Now, for every publish, results are archived and the graph updated. Go ahead, publish a few times and keep on refreshing your browser whilst looking at the graph. Animation is an exercise left to the reader.