# Blanchet Field Reports — Seeding Data Summary
**Agent:** data_pipeline
**Priority:** high
## Context
Blanchet (Cody Blanchet) TAP data is being synced to /data/tap_data/blanchet/ right now.
His TAP account: brokefarmer@yahoo.com, device: QUAD 1 (CNH Quadtrac, Topcon console).
## Steps
### Step 1: Wait for sync to complete
Check if the sync is still running:
If still running, post a task to the dashboard and wait. If done, proceed.
### Step 2: Process all TAP data
Run: `python /data/Sandbox/AgentPi/scripts/tap_batch_process.py --customer blanchet`
This generates processed seeding data in /data/processed_data/blanchet/
### Step 3: Generate field inventory
After processing, inventory all of Blanchet's fields:
- List every field found (name, crop year, crop type, acres, operation type)
- Identify which years have data (we expect 2020-2025)
- Count total operations, total acres
### Step 4: Generate Farmer Report PDF
Create a branded FarmTech PDF report for Blanchet, similar to farm_summary_report.py but for SEEDING data:
- Cover page: Blanchet Farms, all years summary
- Per-field pages: planted boundary map, seeding rate stats (if available), acres, crop
- Summary table: all fields, all years, crops planted
Save to: /data/Sandbox/Reports/Blanchet/Blanchet_Farms_Seeding_Report.pdf
### Step 5: Prepare for FSA/CLU overlay
Make sure each field's planted boundary is saved as a clean GeoJSON in:
/data/processed_data/blanchet/{field}/{year}/planted.geojson
These will be overlaid with CLU boundaries when we get them to generate official FSA planted acreage reports.
### Step 6: Report results
Post a dashboard task with:
- Total fields found
- Years covered
- PDF location
- Any processing errors or missing data