Quartz 5

Daily Work Log - 2026-06-27

Properties1
tagsdaily-note--engineering

4 min read

Session Log: 2026-06-27

📋 Session Overview

In this session, we resolved critical data freshness gaps for Google Business Profile (GBP), built and executed a resilient, high-speed, and rate-limited historical crawler to backfill over 570k Quo (OpenPhone) calls and messages, updated the production dbt models with robust deduplication, and drafted the formal franchisee KPI dashboard launch communication.

🚀 Key Accomplishments

1. Resilient Quo (OpenPhone) Historical Ingestion

  • Crawler Robustification: Modified scripts/backfill_quo_resilient.py to:
    • Flatten list-typed participant fields (e.g. ["+17205610977"]) into a flat, comma-separated string to match BigQuery’s schema.
    • Resolve variable initialization bugs inside make_api_request.
    • Handle 429 rate-limiting gracefully with an optimized thread-safe TokenBucketLimiter backed off by 2 seconds dynamically.
    • Save progressive progress to data/backfill_progress.jsonl to support seamless resumption.
  • 100% Ingestion Completion: Executed the backfill script to process 87,765 conversations with 0 errors.
  • Database Upload: Harvested and loaded 571,340 total records dating back to Q2 of 2025 into BigQuery:
    • Calls: 193,594 records loaded to quo_webhooks.historical_calls.
    • Messages: 377,746 records loaded to quo_webhooks.historical_messages.

2. dbt Production Rebuild & Deduplication

  • Model Updates: Implemented window-based deduplication (row_number() over (partition by id)) in the dbt staging layer (stg_quo_calls.sql and staging message models). This ensures any temporal overlap between live webhooks and historical backfills is automatically deduplicated.
  • Lineage Rebuild: Triggered a full-refresh production run to compile all Quo models: 
    /home/kevindockman/.local/bin/dbt run -t prod --full-refresh --select stg_quo_calls mrt_quo_calls_daily pres_quo_calls_daily stg_quo_messages mrt_quo_messages_daily pres_quo_messages_daily
    All models built successfully. Complete timelines are now live on kpi.thedogwizard.com.

3. Google Business Profile (GBP) Reporting Restored

  • Investigation: Audited Google Business Profile reporting gaps showing zero data after June 23, 2026.
  • Findings: Verified that Fivetran raw ingestion is working (raw events up to June 26 exist). Proved that June 23 is the absolute limit of completeness due to Google’s native 3-day reporting aggregation lag (June 24-26 raw tables had exactly 0 non-null records).
  • Restoration: Rebuilt production dbt models to refresh the static presentation tables up to the latest possible date (June 23).

4. Strategic & Architectural Artifacts

  • Franchisee Announcement: Authored Franchise KPI Dashboard Launch Announcement — a high-impact, completely non-technical summary of the dashboard release featuring new top navigation, mobile responsiveness, improved Google Ads benchmarking, Quo historical timelines, and the PocketSuite roadmap.
  • Architecture Blueprint: Documented the Looker Studio Pro Architecture Blueprint mapping the end-to-end multi-platform data ingestion pipeline.

5. High-Velocity Capture Layer Standardized (The Brain Cleanup)

  • Unscattered Memory Architecture: Consolidated fragmented session logs and individual daily logs into single, cohesive daily files named strictly in the YYYY-MM-DD.md format directly under the /Daily Notes/ directory, deleting all redundant Session Logs/ folders.
  • Metadata Frontmatter Governance: Drafted and deployed a standardized governance SOP in README (Daily Notes folder) defining strict naming rules and the “Full Representation Rule” to ensure no history is ever deleted or pruned.
  • Mass Standard Ingestion: Programmatically sanitized and standardized the frontmatter metadata block for all 16 daily files within the directory using a custom script, ensuring 100% compliance.
  • Formalized Tier 1 Capture: Updated master_architecture to officially establish Consolidated Daily Notes as the Tier 1 Capture layer of the WayCup memory topology, preserving immutable historical context for downstream sweep and indexing agents.

💻 Technical Commands Executed

# 1. Start / Resume the background backfill crawler
.venv/bin/python3 scripts/backfill_quo_resilient.py --threads 8 --rate-limit 9.0 --resume
 
# 2. Upload intermediate batches to BigQuery (Clean Truncate)
.venv/bin/python3 scripts/upload_current_to_bq.py
 
# 3. Trigger dbt production build
/home/kevindockman/.local/bin/dbt run -t prod --full-refresh --select stg_quo_calls mrt_quo_calls_daily pres_quo_calls_daily stg_quo_messages mrt_quo_messages_daily pres_quo_messages_daily
 
# 4. Standardize all vault daily notes metadata
python3 .gemini/antigravity-cli/brain/d9a44e1b-fa0e-4650-852c-44f4fe1cf823/scratch/fix_frontmatter.py
 
# 5. Re-synchronize and compile local Quartz build
rm -rf /home/kevindockman/quartz/content/* && cp -r /home/kevindockman/projects/00_core/vault/* /home/kevindockman/quartz/content/
npx quartz build

📁 Artifact Distribution Map

All approved files from this conversation have been synchronized to both the active workspace and the knowledge vault:

Graph View