def robot_detail(robot_id, inputs=None):
robot = r.get_registry()['ROBOTS'].get_robot(robot_id)
if not robot:
return render_template("not_found.html")
runs = r.get_registry()['RUNS'].get_runs(robot_id)
run_levels = [run['id'] for run in runs]
# check if disqualifited and eligibility to advnace to next level
eligibility = LevelProgressHandler.get_eligibility_for_next_run(
runs, robot['level'])
# get current best scores
best_scores, attempted_levels, total_score, num_successful = (
ScoreCalculator.get_best_scores(runs))
return render_template(
"robot.html",
attempted_levels=attempted_levels,
total_score=total_score,
robot_id=robot_id,
robot=robot,
disqualified=eligibility['disqualified'],
eligible=eligibility['can_level_up'],
best_scores=best_scores,
robot_runs=runs,
applied_factors=[applied_factors(id, robot_id) for id in run_levels],
inputs=inputs)
def robot_detail(robot_id, inputs=None):
robot = r.get_registry()['ROBOTS'].get_robot(robot_id)
if not robot:
return render_template("not_found.html")
runs = r.get_registry()['RUNS'].get_runs(robot_id)
run_levels = [run['id'] for run in runs]
# check if disqualifited and eligibility to advnace to next level
eligibility = LevelProgressHandler.get_eligibility_for_next_run(
runs, robot['level']
)
# get current best scores
best_scores, attempted_levels, total_score, num_successful = (
ScoreCalculator.get_best_scores(runs)
)
return render_template(
"robot.html",
attempted_levels=attempted_levels,
total_score=total_score,
robot_id=robot_id,
robot=robot,
disqualified=eligibility['disqualified'],
eligible=eligibility['can_level_up'],
best_scores=best_scores,
robot_runs=runs,
applied_factors=[applied_factors(id, robot_id) for id in run_levels],
inputs=inputs
)
def export_to_csv():
divisions = ['junior', 'walking', 'high_school', 'senior']
all_robots = {}
for division in divisions:
all_robots[division] = r.get_registry()['ROBOTS'].get_all_robots_division(division)
si = StringIO.StringIO()
cw = csv.writer(si)
cw.writerow(['Rank', 'Division', 'Name', '# of Successful Runs',
'Current Level', 'LS1', 'LS2', 'LS3', 'TFS', 'From CT', 'From NA', 'Is unique'])
for div in all_robots:
for robot in all_robots[div]:
runs = r.get_registry()['RUNS'].get_runs(robot['id'])
# get current best scores
best_scores, attempted_levels, total_score, num_successful = (
ScoreCalculator.get_best_scores(runs)
)
robot.update(best_scores)
robot['TFS'] = total_score
robot['num_successful'] = num_successful
# calculate lowes scores for each level and TFS, returns tuple
robot['completed'] = attempted_levels
# sort based on name then total score
sorted_robots = sorted(
list(all_robots[div]),
key=lambda k: k['name']
)
sorted_robots = sorted(
list(sorted_robots),
key=lambda k: k['TFS']
)
for index, sorted_r in enumerate(sorted_robots, start=1):
cw.writerow([
index,
sorted_r['division'],
sorted_r['name'],
sorted_r['num_successful'],
sorted_r['level'],
sorted_r['LS1'],
sorted_r['LS2'],
sorted_r['LS3'],
sorted_r['TFS'],
sorted_r['from_ct'],
sorted_r['from_na'],
sorted_r['is_unique']
])
cw.writerow('\n')
output = make_response(si.getvalue())
si.close()
output.headers["Content-Disposition"] = "attachment; filename=scoreboard.csv"
output.headers["Content-type"] = "text/csv"
return output
def add_scoreboard_params(robots):
# adds necessary parameters to be displayed on the scoreboard
for robot in robots:
runs = r.get_registry()['RUNS'].get_runs(robot['id'])
best_scores, attempted_levels, total_score, num_successful = (
ScoreCalculator.get_best_scores(runs)
)
robot.update(best_scores)
robot['TFS'] = total_score
robot['completed'] = attempted_levels
robot['num_successful'] = num_successful
return robots
def add_scoreboard_params(robots):
# adds necessary parameters to be displayed on the scoreboard
for robot in robots:
runs = r.get_registry()['RUNS'].get_runs(robot['id'])
best_scores, attempted_levels, total_score, num_successful = (
ScoreCalculator.get_best_scores(runs)
)
robot.update(best_scores)
robot['TFS'] = total_score
robot['completed'] = attempted_levels
robot['num_successful'] = num_successful
return robots
def export_to_csv():
divisions = ['junior', 'walking', 'high_school', 'senior']
all_robots = {}
for division in divisions:
all_robots[division] = r.get_registry()['ROBOTS'].get_all_robots_division(division);
si = StringIO.StringIO()
cw = csv.writer(si)
cw.writerow(['Rank', 'Division', 'Name', '# of Successful Runs',
'Current Level', 'LS1', 'LS2', 'LS3', 'TFS', 'Volume',
'From NA', 'From CT', 'Unique'])
for div in all_robots:
for robot in all_robots[div]:
runs = r.get_registry()['RUNS'].get_runs(robot['id'])
# get current best scores
best_scores, attempted_levels, total_score, num_successful = (
ScoreCalculator.get_best_scores(runs)
)
robot.update(best_scores)
robot['TFS'] = total_score
robot['num_successful'] = num_successful
# calculate lowes scores for each level and TFS, returns tuple
robot['completed'] = attempted_levels
# sort based on name then total score
sorted_robots = sorted(list(all_robots[div]), key=lambda k: k['name'])
sorted_robots = sorted(list(sorted_robots), key=lambda k: k['TFS'])
for index, sorted_r in enumerate(sorted_robots, start=1):
cw.writerow([index, sorted_r['division'], sorted_r['name'], sorted_r['num_successful'],
sorted_r['level'], sorted_r['LS1'], sorted_r['LS2'], sorted_r['LS3'],
sorted_r['TFS'], sorted_r['volume'],
sorted_r['from_na'], sorted_r['from_ct'],
sorted_r['is_unique']])
cw.writerow('\n')
output = make_response(si.getvalue())
si.close()
output.headers["Content-Disposition"] = "attachment; filename=scoreboard.csv"
output.headers["Content-type"] = "text/csv"
return output
def robot_detail(robot_id, inputs=None):
robot = r.get_registry()['ROBOTS'].get_robot(robot_id)
if not robot:
return render_template("not_found.html")
runs = r.get_registry()['RUNS'].get_runs(robot_id)
run_levels = [run['id'] for run in runs]
# check if disqualifited and eligibility to advnace to next level
eligibility = LevelProgressHandler.get_eligibility_for_next_run(
runs, robot['level']
)
# get current best scores
best_scores, attempted_levels, total_score, num_successful = (
ScoreCalculator.get_best_scores(runs)
)
# check how many runs robot did on sunday (sunday = 1)
# TODO: this logic needs to be rewritten after the competition
sunday = 1
filtered = filter_runs_day(runs, sunday)
already_run_three = False
if len(filtered) >= 3:
already_run_three = True
return render_template(
"robot.html",
attempted_levels=attempted_levels,
total_score=total_score,
robot_id=robot_id,
robot=robot,
disqualified=eligibility['disqualified'],
eligible=eligibility['can_level_up'],
best_scores=best_scores,
robot_runs=runs,
applied_factors=[applied_factors(id, robot_id) for id in run_levels],
inputs=inputs,
already_run_three=already_run_three
)
def robot_detail(robot_id, inputs=None):
robot = r.get_registry()['ROBOTS'].get_robot(robot_id)
if not robot:
return render_template("not_found.html")
runs = r.get_registry()['RUNS'].get_runs(robot_id)
run_levels = [run['id'] for run in runs]
# check if disqualifited and eligibility to advnace to next level
eligibility = LevelProgressHandler.get_eligibility_for_next_run(
runs, robot['level'])
# get current best scores
best_scores, attempted_levels, total_score, num_successful = (
ScoreCalculator.get_best_scores(runs))
# check how many runs robot did on sunday (sunday = 1)
# TODO: this logic needs to be rewritten after the competition
sunday = 1
filtered = filter_runs_day(runs, sunday)
already_run_three = False
if len(filtered) >= 3:
already_run_three = True
return render_template(
"robot.html",
attempted_levels=attempted_levels,
total_score=total_score,
robot_id=robot_id,
robot=robot,
disqualified=eligibility['disqualified'],
eligible=eligibility['can_level_up'],
best_scores=best_scores,
robot_runs=runs,
applied_factors=[applied_factors(id, robot_id) for id in run_levels],
inputs=inputs,
already_run_three=already_run_three)
