DATA OPS
Dropbox CSV Validation into BigQuery with Discord Defect Report
Triggers when a partner drops a CSV in Dropbox, validates it against a schema, streams clean rows into BigQuery, parks rejected rows in a Dropbox quarantine folder.
How it runs
The automated pipeline, trigger to output.
- TriggerNew CSV added to Dropbox folderDropbox
- LogicValidate each row against contract schema
- LogicBranch clean rows from rejected rows
- ActionStream clean rows into BigQueryBigQuery
- ActionWrite rejected rows + report to Dropbox quarantineDropbox
- OutputPost formatted defect report to DiscordDiscord
What it does
When a partner adds a CSV to a shared Dropbox folder, this workflow validates each row against your contract schema, streams the clean rows into a BigQuery table, and moves the rejected rows into a quarantine folder alongside a defect report. The team gets a formatted summary of accepted versus rejected counts and the top failure reasons in Discord.
When to use it
Use it when partners deliver feeds through Dropbox and your analytics live in BigQuery. It keeps the warehouse clean, preserves every rejected row for re-processing once corrected, and notifies the team in the channel they already watch.
How it works
- 1A new CSV in the watched Dropbox folder fires the trigger.
- 2The file is parsed and each row is validated against the schema contract.
- 3The flow branches clean rows from rejected rows.
- 4Clean rows are streamed into the BigQuery target table.
- 5Rejected rows and a defect report are written to a Dropbox quarantine folder.
- 6A formatted defect report is posted to Discord with run statistics.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect BigQueryDatasets, queries, schemas.
- 3Connect DiscordCommunity channels + voice + bots.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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