uranusjr commented on code in PR #29094:
URL: https://github.com/apache/airflow/pull/29094#discussion_r1149027949
##########
airflow/jobs/scheduler_job.py:
##########
@@ -83,6 +84,17 @@
DM = DagModel
+@dataclass
+class ConcurrencyMap:
+ """Dataclass to represent concurrency maps"""
+
+ dag_active_tasks_map: DefaultDict[str, int] =
field(default_factory=lambda: defaultdict(int))
+ task_concurrency_map: DefaultDict[tuple[str, str], int] =
field(default_factory=lambda: defaultdict(int))
+ task_dagrun_concurrency_map: DefaultDict[tuple[str, str, str], int] =
field(
+ default_factory=lambda: defaultdict(int)
+ )
Review Comment:
I wonder if using a `Counter` and a `classmethod` would help with
implementation
```python
@dataclass
class ConcurrencyMap:
dag_active_tasks_map: dict[str, int]
task_concurrency_map: dict[tuple[str, str], int]
task_dagrun_concurrency_map: dict[tuple[str, str, str], int]
@classmethod
def read_ti_concurrency_query(cls) -> Self:
query = ...
mapping = {(d, r, t): c for d, r, t, c in query}
instance = cls(Counter(), Counter(), mapping)
for (d, r, t), c in mapping.items():
concurrency_map.dag_active_tasks_map[d] += c
concurrency_map.task_concurrency_map[(d, t)] += c
return instance
```
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