RespectCampaignMap is a static campaign map and data-preparation repository created for Texas AFT's Respect Campaign.

It combines prebundled JavaScript map layers, a browser-facing index.html, and a few Python scripts that were used to assemble or enrich district-level campaign data.

• index.html: static web entrypoint
• Districts*.js, PLAN*.js, and related assets: precomputed map layers and payloads
• main.py: enrichment script for generating district data outputs
• convert_to_geojson.py: shapefile-to-GeoJSON conversion helper
• gen_union_locals_shapefile.py: helper for boundary/local overlay work

Some preparation scripts depend on external campaign datasets that are not committed to this repository. Those paths are now configured through environment variables instead of hardcoded machine-specific locations.

Relevant variables include:

• RESPECT_SCHOOL_DISTRICTS_DIR
• RESPECT_PEIMS_ACTUAL_FUNDING_BREAKDOWN
• RESPECT_ENROLLMENT_REPORTS_DIR
• RESPECT_WAGE_CAMPAIGNS_CSV
• RESPECT_JOIN_LINKS_CSV
• RESPECT_REPORT_LINKS_CSV
• RESPECT_HOUSE_DISTRICTS_CSV
• RESPECT_SENATE_DISTRICTS_CSV
• RESPECT_CHARTER_LOSS_CSV
• RESPECT_SOF_REPORTS_DIR
• RESPECT_PLANH_SHAPEFILE
• RESPECT_DISTRICTS_FINAL_GEOJSON

If those variables are unset, the scripts fall back to relative paths that match the original sibling-repo layout used during development.

Because the published experience is static, a simple local web server is enough for review:

python3 -m http.server

Then open http://127.0.0.1:8000/.

The source code and original documentation in this repository are released under the MIT License. See LICENSE.

Campaign branding, logos, trademarks, and third-party/public datasets are excluded from that code license. See NOTICE.md.