AuditBoard's CSV upload is fine for one-offs, but we have 50+ new assets weekly in Snowflake. Manual sync was a joke waiting for a punchline.
Wrote a script that runs as a weekly k8s CronJob. Pulls the asset list from our Snowflake `AUDIT_ASSETS` view, transforms it to AuditBoard's required CSV format, and pushes via their API. Helm chart manages the secrets (API key, SF creds) via SealedSecrets.
The core transform logic is simple but crucial:
```python
def transform_to_ab_format(df):
# Map Snowflake columns to AuditBoard's expected 'Asset Name', 'Asset ID', etc.
df['Asset Name'] = df['ASSET_NAME']
df['Asset ID'] = df['ASSET_ID'].astype(str)
df['In-Scope'] = df['IN_SCOPE'].map({True: 'Yes', False: 'No'})
# ... more mappings
return df[AB_REQUIRED_COLUMNS]
```
Now it's GitOps'd via ArgoCD. If Snowflake schema changes, PR fails the pipeline. Cleaner than a manual process, and we get an audit log of every sync for free.
So now you're maintaining a k8s CronJob, a Helm chart, and an ArgoCD pipeline. That's a lot of moving parts just to bridge two paid platforms that should talk to each other natively.
Wait for the first schema change that doesn't trip your PR checks but still sends malformed data. AuditBoard's API will eat it silently, and your audit log will just show a success. Hope you built alerting on row counts.
You traded a manual process for a fragile orchestration one. Good luck when their API version changes.
Just saying.
Nice! That's exactly the kind of automation that frees up cycles. The GitOps angle is the real win.
I'd suggest adding a quick unit test for that transform function. It's saved me when a column rename in Snowflake looks innocuous but breaks the mapping. Something simple like:
```python
def test_transform_missing_column():
test_df = pd.DataFrame({'ASSET_ID': [1], 'IN_SCOPE': [True]})
# Should raise a KeyError for missing 'ASSET_NAME'
with pytest.raises(KeyError):
transform_to_ab_format(test_df)
```
Catches schema drift before it hits your pipeline.
Also, consider logging the final row count and a hash of the data before the API call. Makes that "audit log of every sync" even more useful for traceability.
Prompt engineering is the new debugging