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Iss 228 add std clean dbt stages to census taskflow #231

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merged 2 commits into from
Dec 29, 2024
Merged

Iss 228 add std clean dbt stages to census taskflow #231

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5fcb32c
Adds task_group to generate _std and _clean stage dbt models and adds…
MattTriano Dec 23, 2024
3b622d3
Adds std and clean models for housing census variables.
MattTriano Dec 29, 2024
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17 changes: 11 additions & 6 deletions airflow/dags/cc_utils/census/api.py
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Original file line number Diff line number Diff line change
Expand Up @@ -95,11 +95,9 @@ def api_call_geographies(self):


class CensusAPIDataset(Protocol):
def api_call(self) -> str:
...
def api_call(self) -> str: ...

def make_api_call(self) -> pd.DataFrame:
...
def make_api_call(self) -> pd.DataFrame: ...


class CensusVariableGroupAPICall(CensusAPIDataset):
Expand Down Expand Up @@ -127,7 +125,10 @@ def make_api_call(self) -> pd.DataFrame:
resp_json = resp.json()
return pd.DataFrame(resp_json[1:], columns=resp_json[0])
else:
raise Exception(f"The API call produced an invalid response ({resp.status_code})")
raise Exception(
f"The API call produced an invalid response ({resp.status_code}), "
f"message: {resp.text}"
)


class CensusDatasetVariablesAPICaller(CensusAPIDataset):
Expand Down Expand Up @@ -160,14 +161,18 @@ def make_api_call(self) -> pd.DataFrame:
resp_json = resp.json()
return pd.DataFrame(resp_json[1:], columns=resp_json[0])
else:
raise Exception(f"The API call produced an invalid response ({resp.status_code})")
raise Exception(
f"The API call produced an invalid response ({resp.status_code}), "
f"message: {resp.text}."
)


@dataclass
class CensusVariableGroupDataset:
dataset_name: str
api_call_obj: CensusVariableGroupAPICall
schedule: Optional[str] = None
vintage: Optional[str] = None


class CensusAPIDatasetSource:
Expand Down
28 changes: 28 additions & 0 deletions airflow/dags/cook_county/update_cc_housing_occupancy_by_tract_acs5.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,28 @@
import datetime as dt
import logging

from airflow.decorators import dag

from tasks.census_tasks import update_census_table

from sources.census_api_datasets import CC_HOUSING_OCCUPANCY_BY_TRACT_ACS5 as CENSUS_DATASET

task_logger = logging.getLogger("airflow.task")


@dag(
schedule=CENSUS_DATASET.schedule,
start_date=dt.datetime(2022, 11, 1),
catchup=False,
tags=["cook_county", "census", "acs5"],
)
def update_cc_housing_occupancy_by_tract_acs5():
update_census_table(
census_dataset=CENSUS_DATASET,
datasource_name="fluent_dwh_source",
conn_id="dwh_db_conn",
task_logger=task_logger,
)


update_cc_housing_occupancy_by_tract_acs5()
52 changes: 52 additions & 0 deletions airflow/dags/sources/census_api_datasets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -52,6 +52,58 @@
schedule="40 5 20 3,9 *",
)

CC_HOUSING_OCCUPANCY_BY_TRACT_ACS5 = CensusVariableGroupDataset(
dataset_name="cc_housing_occupancy_by_tract_acs5",
api_call_obj=CensusDatasetVariablesAPICaller(
dataset_base_url="http://api.census.gov/data/2023/acs/acs5",
geographies=COOK_COUNTY_CENSUS_TRACTS,
variable_names=[
"GEO_ID",
"NAME",
"B25001_001E", "B25001_001EA", "B25001_001M", "B25001_001MA",
"B25002_001E", "B25002_001EA", "B25002_001M", "B25002_001MA",
"B25002_002E", "B25002_002EA", "B25002_002M", "B25002_002MA",
"B25002_003E", "B25002_003EA", "B25002_003M", "B25002_003MA",
"B25004_001E", "B25004_001EA", "B25004_001M", "B25004_001MA",
"B25004_002E", "B25004_002EA", "B25004_002M", "B25004_002MA",
"B25004_003E", "B25004_003EA", "B25004_003M", "B25004_003MA",
"B25004_004E", "B25004_004EA", "B25004_004M", "B25004_004MA",
"B25004_005E", "B25004_005EA", "B25004_005M", "B25004_005MA",
"B25004_006E", "B25004_006EA", "B25004_006M", "B25004_006MA",
"B25004_007E", "B25004_007EA", "B25004_007M", "B25004_007MA",
"B25004_008E", "B25004_008EA", "B25004_008M", "B25004_008MA",
],
),
schedule="20 5 15 2,6,10 *",
vintage="2023",
)

CC_HOUSING_TENURE_SINGLE_RACE_BY_TRACT_ACS5 = CensusVariableGroupDataset(
dataset_name="cc_housing_tenure_single_race_by_tract_acs5",
api_call_obj=CensusDatasetVariablesAPICaller(
dataset_base_url="http://api.census.gov/data/2023/acs/acs5",
geographies=COOK_COUNTY_CENSUS_TRACTS,
variable_names=[
"GEO_ID",
"NAME",
"B25003_001E", "B25003_001EA", "B25003_001M", "B25003_001MA",
"B25003_002E", "B25003_002EA", "B25003_002M", "B25003_002MA",
"B25003_003E", "B25003_003EA", "B25003_003M", "B25003_003MA",
"B25003A_001E", "B25003A_001EA", "B25003A_001M", "B25003A_001MA",
"B25003A_002E", "B25003A_002EA", "B25003A_002M", "B25003A_002MA",
"B25003A_003E", "B25003A_003EA", "B25003A_003M", "B25003A_003MA",
"B25003B_001E", "B25003B_001EA", "B25003B_001M", "B25003B_001MA",
"B25003B_002E", "B25003B_002EA", "B25003B_002M", "B25003B_002MA",
"B25003B_003E", "B25003B_003EA", "B25003B_003M", "B25003B_003MA",
"B25003D_001E", "B25003D_001EA", "B25003D_001M", "B25003D_001MA",
"B25003D_002E", "B25003D_002EA", "B25003D_002M", "B25003D_002MA",
"B25003D_003E", "B25003D_003EA", "B25003D_003M", "B25003D_003MA",
],
),
schedule="25 5 15 2,6,10 *",
vintage="2023",
)

CC_HH_INCOME_IN_LAST_12MO_BY_TRACT = CensusVariableGroupDataset(
dataset_name="cc_hh_income_in_last_12mo_by_tract",
api_call_obj=CensusVariableGroupAPICall(
Expand Down
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