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IndexError when printing dashboard response containing empty group_by list

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Évaluation

Difficulté
3/5
Temps estimé
1-2 jours
Accessibilité débutants
75/100
Type d'issue
Bug
Clarté
Clairement spécifiée
Activité
Calme
Stack technique
python
Domaine
api, tooling

Piste de recherche

Commencez dans .generator/src/generator/templates/model_utils.j2, en vous concentrant sur model_to_dict() et get_oneof_instance(), qui génèrent src/datadog_api_client/model_utils.py. Reproduisez le cas d’un group_by vide via DashboardsApi.get_dashboard() et affichez print(response) ou to_dict(). C’est terminé lorsque la response se sérialise et s’affiche sans IndexError lorsque _composed_instances est vide.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Description

kind/bug stale

Describe the bug
Calling print(response) on a dashboard response raises IndexError: list index out of range when the dashboard contains a query_value widget with a logs query that has "group_by": [] (empty list).

Labels: kind/bug, severity/major

To Reproduce

  1. Create a dashboard with a query_value widget using a logs query with group_by set to an empty list.
  2. Call get_dashboard() using the Python API client.
  3. Call print(response) on the returned object.
  4. See IndexError: list index out of range.

Minimal reproduction:

from datadog_api_client import Configuration, ApiClient
from datadog_api_client.v1.api.dashboards_api import DashboardsApi

configuration = Configuration()
with ApiClient(configuration) as api_client:
    api = DashboardsApi(api_client)
    response = api.get_dashboard(dashboard_id="<dashboard-id>")
    print(response)  # raises IndexError

Expected behavior
The response should be printed (or serialized via to_dict()) without raising any exception.

Screenshots

Image 
Traceback (most recent call last):
  File "main.py", line 8, in <module>
    print(response)
  File ".venv/lib/python3.14/site-packages/datadog_api_client/model_utils.py", line 194, in __repr__
    return self.to_str()
  File ".venv/lib/python3.14/site-packages/datadog_api_client/model_utils.py", line 422, in to_str
    return pprint.pformat(self.to_dict())
  File ".venv/lib/python3.14/site-packages/datadog_api_client/model_utils.py", line 418, in to_dict
    return model_to_dict(self, serialize=False)
  File ".venv/lib/python3.14/site-packages/datadog_api_client/model_utils.py", line 1502, in model_to_dict
    model = model.get_oneof_instance()
  File ".venv/lib/python3.14/site-packages/datadog_api_client/model_utils.py", line 581, in get_oneof_instance
    return self._composed_instances[0]
IndexError: list index out of range

Root cause
group_by is typed as FormulaAndFunctionEventQueryGroupByConfig, a ModelComposed class with a oneOf of two variants: a list of group-by objects and a fields object. When the API returns "group_by": [], the oneOf matcher cannot determine which variant the empty list belongs to, so _composed_instances is left empty.

model_to_dict() in model_utils.py enters its traversal loop based on _composed_schemas being non-empty, without checking whether _composed_instances is populated, and then crashes at get_oneof_instance() which unconditionally accesses self._composed_instances[0].

Workaround
Set configuration.preload_content = False to skip deserialization and parse the raw JSON manually:

import json
from datadog_api_client import Configuration, ApiClient
from datadog_api_client.v1.api.dashboards_api import DashboardsApi

configuration = Configuration()
configuration.preload_content = False
with ApiClient(configuration) as api_client:
    api = DashboardsApi(api_client)
    response = api.get_dashboard(dashboard_id="<dashboard-id>")
    data = json.loads(response.data)
    print(json.dumps(data, indent=2))

Environment and Versions (please complete the following information):

  • datadog-api-client version: 2.55.0 (latest)
  • Python version: 3.14
  • OS: macOS

Additional context
The fix requires two changes in .generator/src/generator/templates/model_utils.j2 (the template that generates src/datadog_api_client/model_utils.py):

  1. Guard the loop in model_to_dict() to only enter when _composed_instances is also non-empty:

    while model._composed_schemas and model._composed_instances:

  2. Make get_oneof_instance() fall back to self instead of crashing when _composed_instances is empty:

    def get_oneof_instance(self):
    if not self._composed_instances:
        return self
    return self._composed_instances[0]
Langage dominant
Python
Étoiles
167
Forks
55
Merge moyen
2 j 23 h
PR mergées (30 j)
74

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