1680

pending completion

Build # 1680

Build Type

push

travis-ci

Committed by

marco-c

Commit Message

<a href="https://github.com/mozilla/relman-auto-nag/commit/<a class=hub.com/mozilla/relman-auto-nag/commit/44cd77e73798f29e07816651a458628aaed65f6b">44cd77e73<a href="https://github.com/mozilla/relman-auto-nag/commit/44cd77e73798f29e07816651a458628aaed65f6b">&quot;&gt;Remove the last bits of `remove_using_history` (#778)

Fixes #775

The remaining use is covered by the regression model directly
https://github.com/mozilla/bugbug/blob/</a><a class="double-link" href="https://github.com/mozilla/relman-auto-nag/commit/<a class="double-link" href="https://github.com/mozilla/relman-auto-nag/commit/ecfbed86d2d5db519bfd27ebc0693ab529f1bd94">ecfbed86d</a>">ecfbed86d</a><a href="https://github.com/mozilla/relman-auto-nag/commit/44cd77e73798f29e07816651a458628aaed65f6b">/bugbug/models/regression.py#L16.

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0.0

/auto_nag/scripts/stepstoreproduce.py

# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this file,
# You can obtain one at http://mozilla.org/MPL/2.0/.

from bugbug.models.stepstoreproduce import StepsToReproduceModel

from auto_nag.bugbug_utils import get_bug_ids_classification
from auto_nag.bzcleaner import BzCleaner
from auto_nag.utils import nice_round


class StepsToReproduce(BzCleaner):
    def __init__(self):
        self.model_class = StepsToReproduceModel
        super().__init__()

    def description(self):
        return "[Using ML] Bugs with missing steps to reproduce"

    def columns(self):
        return ["id", "summary", "has_str", "confidence", "autofixed"]

    def sort_columns(self):
        return lambda p: (-p[3], -int(p[0]))

    def get_bz_params(self, date):
        start_date, end_date = self.get_dates(date)

        reporter_skiplist = self.get_config("reporter_skiplist", default=[])
        reporter_skiplist = ",".join(reporter_skiplist)

        params = {
            "include_fields": ["id", "groups", "summary"],
            "bug_type": "defect",
            "f1": "longdesc",
            "o1": "changedafter",
            "v1": start_date,
            "f2": "longdesc",
            "o2": "changedbefore",
            "v2": end_date,
            "f3": "reporter",
            "o3": "nowords",
            "v3": reporter_skiplist,
            "f4": "cf_has_str",
            "o4": "equals",
            "v4": "---",
            "n5": 1,
            "f5": "cf_has_str",
            "o5": "changedafter",
            "v5": "1970-01-01",
            "f6": "keywords",
            "o6": "nowords",
            "v6": "intermittent-failure",
            # Ignore closed bugs.
            "bug_status": "__open__",
        }

        return params

    def get_bugs(self, date="today", bug_ids=[]):
        # Retrieve the bugs with the fields defined in get_bz_params
        raw_bugs = super().get_bugs(date=date, bug_ids=bug_ids, chunk_size=7000)

        if len(raw_bugs) == 0:
            return {}

        # Extract the bug ids
        bug_ids = list(raw_bugs.keys())

        # Classify those bugs
        bugs = get_bug_ids_classification("stepstoreproduce", bug_ids)

        results = {}

        for bug_id in sorted(bugs.keys()):
            bug_data = bugs[bug_id]

            if not bug_data.get("available", True):
                # The bug was not available, it was either removed or is a
                # security bug
                continue

            if not {"prob", "index"}.issubset(bug_data.keys()):
                raise Exception(f"Invalid bug response {bug_id}: {bug_data!r}")

            bug = raw_bugs[bug_id]
            prob = bug_data["prob"]
            index = bug_data["index"]

            results[bug_id] = {
                "id": bug_id,
                "summary": bug["summary"],
                "has_str": "yes" if prob[1] > 0.5 else "no",
                "confidence": nice_round(prob[index]),
                "autofixed": False,
            }

        return results

    def get_autofix_change(self):
        return {}


if __name__ == "__main__":
    StepsToReproduce().run()

1	# This Source Code Form is subject to the terms of the Mozilla Public
2	# License, v. 2.0. If a copy of the MPL was not distributed with this file,
3	# You can obtain one at http://mozilla.org/MPL/2.0/.
4
5	from bugbug.models.stepstoreproduce import StepsToReproduceModel	×
6
7	from auto_nag.bugbug_utils import get_bug_ids_classification	×
8	from auto_nag.bzcleaner import BzCleaner	×
9	from auto_nag.utils import nice_round	×
10
11
12	class StepsToReproduce(BzCleaner):	×
13	def __init__(self):	×
14	self.model_class = StepsToReproduceModel	×
15	super().__init__()	×
16
17	def description(self):	×
18	return "[Using ML] Bugs with missing steps to reproduce"	×
19
20	def columns(self):	×
21	return ["id", "summary", "has_str", "confidence", "autofixed"]	×
22
23	def sort_columns(self):	×
24	return lambda p: (-p[3], -int(p[0]))	×
25
26	def get_bz_params(self, date):	×
27	start_date, end_date = self.get_dates(date)	×
28
29	reporter_skiplist = self.get_config("reporter_skiplist", default=[])	×
30	reporter_skiplist = ",".join(reporter_skiplist)	×
31
32	params = {	×
33	"include_fields": ["id", "groups", "summary"],
34	"bug_type": "defect",
35	"f1": "longdesc",
36	"o1": "changedafter",
37	"v1": start_date,
38	"f2": "longdesc",
39	"o2": "changedbefore",
40	"v2": end_date,
41	"f3": "reporter",
42	"o3": "nowords",
43	"v3": reporter_skiplist,
44	"f4": "cf_has_str",
45	"o4": "equals",
46	"v4": "---",
47	"n5": 1,
48	"f5": "cf_has_str",
49	"o5": "changedafter",
50	"v5": "1970-01-01",
51	"f6": "keywords",
52	"o6": "nowords",
53	"v6": "intermittent-failure",
54	# Ignore closed bugs.
55	"bug_status": "__open__",
56	}
57
58	return params	×
59
60	def get_bugs(self, date="today", bug_ids=[]):	×
61	# Retrieve the bugs with the fields defined in get_bz_params
62	raw_bugs = super().get_bugs(date=date, bug_ids=bug_ids, chunk_size=7000)	×
63
64	if len(raw_bugs) == 0:	×
65	return {}	×
66
67	# Extract the bug ids
68	bug_ids = list(raw_bugs.keys())	×
69
70	# Classify those bugs
71	bugs = get_bug_ids_classification("stepstoreproduce", bug_ids)	×
72
73	results = {}	×
74
75	for bug_id in sorted(bugs.keys()):	×
76	bug_data = bugs[bug_id]	×
77
78	if not bug_data.get("available", True):	×
79	# The bug was not available, it was either removed or is a
80	# security bug
81	continue	×
82
83	if not {"prob", "index"}.issubset(bug_data.keys()):	×
84	raise Exception(f"Invalid bug response {bug_id}: {bug_data!r}")	×
85
86	bug = raw_bugs[bug_id]	×
87	prob = bug_data["prob"]	×
88	index = bug_data["index"]	×
89
90	results[bug_id] = {	×
91	"id": bug_id,
92	"summary": bug["summary"],
93	"has_str": "yes" if prob[1] > 0.5 else "no",
94	"confidence": nice_round(prob[index]),
95	"autofixed": False,
96	}
97
98	return results	×
99
100	def get_autofix_change(self):	×
101	return {}	×
102
103
104	if __name__ == "__main__":	×
105	StepsToReproduce().run()	×

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