> Hmmmm... that is intriguing. Probably overkill for my immediate needs,
> but I see how a simplified version might do it for me. And definitely
> opens up some intriguing possibilities.
>
> John, how do you think you'd hook a dyno up to the app... that could
> be VERY useful, given this little app's future.
While not being John, or even knowing a dyno from a dino... :)
Assuming you can get the data feed from the dyno in *some* sort
of computer-readable format (CSV, tab-sep values, XML, JSON,
YAML, column-delimited, whatever), you can simply ship that file
over to some Python code. This could even theoretically be done
via a file-upload, as Django focuses on web-apps. I usually ship
data around in tab-separated format, making it fairly easy to
then simply open the file, split it and assign the data.
class Engine(Model):
...
def load_torque(self, filename):
""" assumes the file is of the format
torque\trpm
"""
for line in file(filename):
try:
torque, rpm = map(int, line.rstrip('\n').split('\t',1))
except: # bogus data on the line?
continue
reading = self.torquereading_set.objects.create(
torque=torque, rpm=rpm)
I might have the syntax wrong on that
"torquereading_set.objects.create" bit, but it should give you
the idea.
Depending on how much data the dyno generates, or if you just
want the max, as you detailed, you could alter that a bit...
max_torque = 0, at_rpm = 0
for line in file(filename):
try:
torque, rpm = map(...)
except:
continue
if torque > max_torque:
max_torque, at_rpm = torque, rpm
# by this point, max_torque and at_rpm hold the values for
# the maximum torque reading from the data set
Or you could sample the data if you have thousands of readings:
for i, line in enumerate(file(filename)):
if i % 5 <> 0: continue
# rest of the code from the first listing
which would sample every 5th line in the file.
Hope this gives you some ideas to work with...
-tim
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