gen_backfill_report.py [521:584]:
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        alltaskids.extend(taskids)

    conditions = [
        {"gt": {"action.duration": 0}},
        {"in": {"run.taskcluster.id": alltaskids}},
    ]

    # Setup additional settings
    if talos:
        symbols.append("T")
    if raptor:
        symbols.append("Rap")
    if browsertime:
        symbols.append("Btime")
    if awsy:
        symbols.append("SY")

    if symbols:
        conditions.append({"in": {"job.type.group.symbol": symbols}})
    if task_name_regex:
        conditions.append({"regex": {"run.key": regex}})
    if additional_conditions:
        conditions.extend(additional_conditions)

    where_clause = {"and": conditions}
    AD_TIME_QUERY["where"] = where_clause
    debug(json.dumps(AD_TIME_QUERY, indent=4))
    data = query_activedata(AD_TIME_QUERY)

    if "action.duration" not in data:
        print("No backfilled tasks found matching the given criteria")
        return

    if DEBUG:
        print("\nAll times:")
        print(data["action.duration"])
        print("")

    total = 0
    for c, i in enumerate(data["action.duration"]):
        total += i
    avgtime = total / len(data["action.duration"])
    print("Average task time: %s" % avgtime)

    if find_long_tasks:
        print("Searching for tasks that are x2 this value...")
        printed = False
        for c, i in enumerate(data["action.duration"]):
            if i > avgtime * 2:
                if not printed:
                    print("Long running tasks:")
                    printed = True
                url = TREEHERDER_LINK.format(
                    data["repo.branch.name"][c],
                    data["build.revision"][c],
                    data["job.type.name"][c],
                )
                print("Test %s: %s" % (data["run.key"][c], url))
                print("    Time: %s\n" % i)

    print("Total runtime of backfilled tasks: %s hours" % (int(total) / 3600))


def main():
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gen_backfill_report_v2.py [527:590]:
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        alltaskids.extend(taskids)

    conditions = [
        {"gt": {"action.duration": 0}},
        {"in": {"run.taskcluster.id": alltaskids}},
    ]

    # Setup additional settings
    if talos:
        symbols.append("T")
    if raptor:
        symbols.append("Rap")
    if browsertime:
        symbols.append("Btime")
    if awsy:
        symbols.append("SY")

    if symbols:
        conditions.append({"in": {"job.type.group.symbol": symbols}})
    if task_name_regex:
        conditions.append({"regex": {"run.key": regex}})
    if additional_conditions:
        conditions.extend(additional_conditions)

    where_clause = {"and": conditions}
    AD_TIME_QUERY["where"] = where_clause
    debug(json.dumps(AD_TIME_QUERY, indent=4))
    data = query_activedata(AD_TIME_QUERY)

    if "action.duration" not in data:
        print("No backfilled tasks found matching the given criteria")
        return

    if DEBUG:
        print("\nAll times:")
        print(data["action.duration"])
        print("")

    total = 0
    for c, i in enumerate(data["action.duration"]):
        total += i
    avgtime = total / len(data["action.duration"])
    print("Average task time: %s" % avgtime)

    if find_long_tasks:
        print("Searching for tasks that are x2 this value...")
        printed = False
        for c, i in enumerate(data["action.duration"]):
            if i > avgtime * 2:
                if not printed:
                    print("Long running tasks:")
                    printed = True
                url = TREEHERDER_LINK.format(
                    data["repo.branch.name"][c],
                    data["build.revision"][c],
                    data["job.type.name"][c],
                )
                print("Test %s: %s" % (data["run.key"][c], url))
                print("    Time: %s\n" % i)

    print("Total runtime of backfilled tasks: %s hours" % (int(total) / 3600))


def main():
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