Built snapshot publishing workflow for Google Sheets sources

  • Day: 2026-04-21
  • Time: 10:30 to 10:40
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Google-Sheets, Snapshotting, Python, Build-Pipeline, Context-Routing, Static-Site

Description

Session Goal

Explore and formalize a reliable publication pipeline for Google Sheets-backed agent sources, with an emphasis on replacing direct live-sheet reads with stable local artifacts that downstream agents can consume safely.

Key Activities

  • Reviewed a snapshot-based publishing pattern where Google Sheets remain the editing surface, while scripts materialize normalized CSV and JSON snapshots locally.
  • Defined a minimal sync architecture for pulling sheet data, prioritizing sources, attaching schema metadata, and tracking freshness so agents can rely on published artifacts instead of volatile live reads.
  • Drafted a focused Python sync script that hardcodes a small set of Google Sheets, resolves worksheets by gid, and writes rows.[[csv]] and latest.[[json]] snapshots for archival use.
  • Extended the idea into a staged builder flow that copies snapshots from data/sheet_snapshots/ into static/latest/ before rendering context-routing pages.
  • Considered exposing both CSV and JSON links on source pages and optionally emitting a publish manifest for debugging and verification.
  • Investigated build and runtime issues in the Python pipeline, including syntax errors, corrupted multiline strings, and file-content mismatches; recommended safer repair strategies such as full-file overwrite via shell-safe here-docs and verification with py_compile.
  • Audited routing surfaces and source usability, distinguishing usable public sources from metadata-only, stale, or access-blocked artifacts, and noted that the routing layer reflects context architecture more than complete current-state knowledge.

Achievements

  • Clarified a practical pull-and-publish model for agent-facing knowledge sources.
  • Established that snapshot publication should happen before site generation so snapshot_relpath links resolve without direct Sheets access.
  • Identified the need for source-page outputs that include machine-readable JSON plus CSV snapshot references.
  • Surfaced consistency risks in the static-site build process, including version mismatches between routing indexes and source pages, and recommended a single-pass regeneration with timestamp/source-count checks.
  • Produced a prioritized backlog of routing and publication fixes to improve retrieval quality and freshness.

Pending Tasks

  • Implement and test the sheet sync script against the selected Google Sheets.
  • Wire snapshot copying into the builder pipeline and verify that published links resolve correctly.
  • Add or restore missing fields in JSON exports, including rows_csv_url where needed.
  • Rebuild the site in one clean pass and confirm index/source-page/data consistency.
  • Expand latest-state summaries for the highest-value sources to improve downstream retrieval.

Evidence

  • source_file=2026-04-21.sessions.jsonl, line_number=3, event_count=0, session_id=fd69de787591e92270f790921fcfa794cbe5537ffee806a31052c584597708f4
  • event_ids: []