Add Excel estimate export workflow to CLI

README.md

@@ -19,8 +19,31 @@ python -m gov_travel.main --db data/travel_rates.sqlite3
 - `--sources international domestic accommodations` to limit which sources are scraped.
 - `--pause 1.5` to pause between processing tables.
 - `--log-level DEBUG` to increase logging verbosity.
+- `--no-scrape` to skip scraping and only work with existing database data.
 - `GOV_TRAVEL_USER_AGENT="YourOrg/1.0"` to override the default user agent.
 
+## Export an estimate to Excel
+After data exists in SQLite (from a previous scrape), export a cost estimate workbook:
+
+```bash
+python -m gov_travel.main \
+  --db data/travel_rates.sqlite3 \
+  --no-scrape \
+  --export-estimate-xlsx output/travel_estimate.xlsx \
+  --estimate-days 5 \
+  --estimate-rate-type meal \
+  --estimate-country Canada \
+  --estimate-city Ottawa \
+  --estimate-lodging-per-night 235 \
+  --estimate-transport-total 175 \
+  --estimate-misc-total 80
+```
+
+Workbook sheets:
+- `estimate_summary`: Days, recommended meal allowance, line item subtotals, and grand total.
+- `matched_rate_entries`: Source rows used to derive the allowance recommendation.
+
+## Database contents
 The database includes:
 - `raw_tables` for every scraped HTML table.
 - `rate_entries` for parsed rate rows (country/city/province + rate fields).
@@ -28,3 +51,9 @@ The database includes:
 - `accommodations` for parsed lodging listings.
 
 If a field is not detected by the heuristics, the full row is still preserved in `raw_tables` and the `raw_json` columns for deeper post-processing.
+
+## Suggested next improvements
+- Add automated tests for parser heuristics and the estimate export path.
+- Add currency conversion in estimate exports using `exchange_rates` so totals can be normalized to CAD.
+- Add source-level freshness metadata to avoid duplicate inserts when scraping repeatedly.
+- Expose estimate/export in a small web UI for non-technical users.