utkarshsaraf19 opened a new issue, #34314:
URL: https://github.com/apache/airflow/issues/34314
### Apache Airflow version
2.7.1
### What happened
Although table is present in public schema as can be seen in attached image,
client is giving error
sqlalchemy.exc.OperationalError: (sqlite3.OperationalError) no such table:
dag
[SQL: SELECT dag.dag_id, dag.root_dag_id, dag.is_paused, dag.is_subdag,
dag.is_active, dag.last_parsed_time, dag.last_pickled, dag.last_expired,
dag.scheduler_lock, dag.pickle_id, dag.fileloc, dag.processor_subdir,
dag.owners, dag.description, dag.default_view, dag.schedule_interval,
dag.timetable_description, dag.max_active_tasks, dag.max_active_runs,
dag.has_task_concurrency_limits, dag.has_import_errors, dag.next_dagrun,
dag.next_dagrun_data_interval_start, dag.next_dagrun_data_interval_end,
dag.next_dagrun_create_after
FROM dag
WHERE dag.dag_id = ?]
List of dependencies installed:
aiohttp==3.8.5
aiosignal==1.3.1
alembic==1.12.0
annotated-types==0.5.0
anyio==3.7.1
apache-airflow==2.7.1
apache-airflow-providers-common-sql==1.7.2
apache-airflow-providers-ftp==3.5.2
apache-airflow-providers-http==4.5.2
apache-airflow-providers-imap==3.3.2
apache-airflow-providers-sqlite==3.4.3
apispec==6.3.0
argcomplete==3.1.1
asgiref==3.7.2
async-timeout==4.0.3
attrs==23.1.0
Babel==2.12.1
backoff==2.2.1
blinker==1.6.2
cachelib==0.9.0
cattrs==23.1.2
certifi==2023.7.22
cffi==1.15.1
charset-normalizer==3.2.0
click==8.1.7
clickclick==20.10.2
colorama==0.4.6
colorlog==4.8.0
ConfigUpdater==3.1.1
connexion==2.14.2
cron-descriptor==1.4.0
croniter==1.4.1
cryptography==41.0.3
Deprecated==1.2.14
dill==0.3.7
dnspython==2.4.2
docutils==0.20.1
email-validator==1.3.1
exceptiongroup==1.1.3
fastapi==0.103.1
Flask==2.2.5
Flask-AppBuilder==4.3.6
Flask-Babel==2.0.0
Flask-Caching==2.0.2
Flask-JWT-Extended==4.5.2
Flask-Limiter==3.5.0
Flask-Login==0.6.2
Flask-Session==0.5.0
Flask-SQLAlchemy==2.5.1
Flask-WTF==1.1.1
frozenlist==1.4.0
google-re2==1.1
googleapis-common-protos==1.60.0
graphviz==0.20.1
grpcio==1.58.0
gunicorn==21.2.0
h11==0.14.0
httpcore==0.18.0
httpx==0.25.0
idna==3.4
importlib-metadata==6.8.0
importlib-resources==6.0.1
inflection==0.5.1
itsdangerous==2.1.2
Jinja2==3.1.2
jsonschema==4.19.0
jsonschema-specifications==2023.7.1
lazy-object-proxy==1.9.0
limits==3.6.0
linkify-it-py==2.0.2
lockfile==0.12.2
Mako==1.2.4
Markdown==3.4.4
markdown-it-py==3.0.0
MarkupSafe==2.1.3
marshmallow==3.20.1
marshmallow-oneofschema==3.0.1
marshmallow-sqlalchemy==0.26.1
mdit-py-plugins==0.4.0
mdurl==0.1.2
multidict==6.0.4
opentelemetry-api==1.20.0
opentelemetry-exporter-otlp==1.20.0
opentelemetry-exporter-otlp-proto-common==1.20.0
opentelemetry-exporter-otlp-proto-grpc==1.20.0
opentelemetry-exporter-otlp-proto-http==1.20.0
opentelemetry-proto==1.20.0
opentelemetry-sdk==1.20.0
opentelemetry-semantic-conventions==0.41b0
ordered-set==4.1.0
packaging==23.1
pathspec==0.11.2
pendulum==2.1.2
pkgutil_resolve_name==1.3.10
pluggy==1.3.0
prison==0.2.1
protobuf==4.24.3
psutil==5.9.5
pycparser==2.21
pydantic==2.3.0
pydantic_core==2.6.3
Pygments==2.16.1
PyJWT==2.8.0
python-daemon==3.0.1
python-dateutil==2.8.2
python-nvd3==0.15.0
python-slugify==8.0.1
pytz==2023.3.post1
pytzdata==2020.1
PyYAML==6.0.1
referencing==0.30.2
requests==2.31.0
requests-toolbelt==1.0.0
rfc3339-validator==0.1.4
rich==13.5.2
rich-argparse==1.3.0
rpds-py==0.10.2
setproctitle==1.3.2
six==1.16.0
sniffio==1.3.0
SQLAlchemy==1.4.49
SQLAlchemy-JSONField==1.0.1.post0
SQLAlchemy-Utils==0.41.1
sqlparse==0.4.4
starlette==0.27.0
tabulate==0.9.0
tenacity==8.2.3
termcolor==2.3.0
text-unidecode==1.3
typing_extensions==4.7.1
uc-micro-py==1.0.2
unicodecsv==0.14.1
urllib3==2.0.4
uvicorn==0.23.2
Werkzeug==2.2.3
wrapt==1.15.0
WTForms==3.0.1
yarl==1.9.2
zipp==3.16.2
Code:
```
from airflow.api.client.local_client import Client
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class ImageNameInput(BaseModel):
image_name: str
@app.post("/trigger-dag")
async def trigger_dag_with_image_name(input_data: ImageNameInput):
# Get the image name from the request
image_name = input_data.image_name
# Trigger the Airflow DAG with the image name as a parameter
client = Client(api_base_url="http://localhost:8080";)
client.trigger_dag(dag_id="kubernetes_pod_dag", conf={"image_name":
image_name})
return {"message": "DAG triggered successfully"}
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="localhost", port=8000)
```
<img width="1336" alt="Screenshot 2023-09-12 at 10 08 07 PM"
src="https://github.com/apache/airflow/assets/10270194/ebbf29db-a0c6-4511-93e6-6994106e3fda";>
### What you think should happen instead
It should query the table `dag` in public schema.
### How to reproduce
1. Run docker compose as suggested by website.
2. Run the python code to trigger explicit dag kept In local dags folder.
### Operating System
mac os ventura
### Versions of Apache Airflow Providers
_No response_
### Deployment
Docker-Compose
### Deployment details
_No response_
### Anything else
_No response_
### Are you willing to submit PR?
- [ ] Yes I am willing to submit a PR!
### Code of Conduct
- [X] I agree to follow this project's [Code of
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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