Generalise interpretive rules for multi-guideline support (#268) (#283)

* Generalise interpretive rules for multi-guideline support (#268)

- Rename data-raw/eucast_rules.tsv → interpretive_rules.tsv; add rule.provider
  column (value: "EUCAST") to distinguish future CLSI rows
- Rename EUCAST_RULES_DF → INTERPRETIVE_RULES_DF in _pre_commit_checks.R;
  filter by rule.provider == guideline when applying rules in interpretive_rules()
- Rename custom_eucast_rules() → custom_interpretive_rules() with new S3 class
  "custom_interpretive_rules"; old function becomes a deprecated wrapper in
  zz_deprecated.R; backward-compat S3 dispatch shims added for old class
- Remove stop_if(guideline == "CLSI", ...) so clsi_rules() no longer errors
- Add .onLoad shim in zzz.R to create INTERPRETIVE_RULES_DF from EUCAST_RULES_DF
  for transitional compatibility until sysdata.rda is regenerated

https://claude.ai/code/session_01D46BTsfJSPo3HnLWp3PRkP

* Fix namespace load failure: remove assignInNamespace from .onLoad (#268)

assignInNamespace cannot add NEW bindings to a locked package namespace
(R locks namespace bindings before .onLoad runs). Replace the .onLoad
shim with a runtime fallback inside interpretive_rules(): if
INTERPRETIVE_RULES_DF is absent (pre-regeneration sysdata.rda), derive
it from EUCAST_RULES_DF by adding the rule.provider column. This also
fixes the screening_abx line to reuse the already-resolved
interpretive_rules_df_total instead of a bare INTERPRETIVE_RULES_DF
reference.

https://claude.ai/code/session_01D46BTsfJSPo3HnLWp3PRkP

* fixes

* fixes

---------

Co-authored-by: Claude <noreply@anthropic.com>

tests/testthat/test-data.R

@@ -53,12 +53,12 @@ test_that("test-data.R", {
   expect_false(anyNA(microorganisms.codes$mo))
   expect_true(all(dosage$ab %in% AMR::antimicrobials$ab))
   expect_true(all(dosage$name %in% AMR::antimicrobials$name))
-  eucast_abx <- AMR:::EUCAST_RULES_DF$and_these_antibiotics
-  eucast_abx <- unique(unlist(strsplit(eucast_abx[!is.na(eucast_abx)], ", +")))
-  expect_true(all(eucast_abx %in% AMR::antimicrobials$ab),
+  interpretive_abx <- AMR:::INTERPRETIVE_RULES_DF$and_these_antibiotics
+  interpretive_abx <- unique(unlist(strsplit(interpretive_abx[!is.na(interpretive_abx)], ", +")))
+  expect_true(all(interpretive_abx %in% AMR::antimicrobials$ab),
     info = paste0(
       "Missing in `antimicrobials` data set: ",
-      toString(eucast_abx[which(!eucast_abx %in% AMR::antimicrobials$ab)])
+      toString(interpretive_abx[which(!interpretive_abx %in% AMR::antimicrobials$ab)])
     )
   )