The sequential scan assumed count/index pairs are always adjacent.
Interleaved columns like Count_A, Count_B, Index_A, Index_B produced
wrong pairings (Count_B ↔ Index_A), silently corrupting data.
Now columns are grouped by type, then matched by the category name
derived from stripping type words. Unmatched columns fall back to
standalone value columns using the original header name.
Adds Step 2b to /outcome: surfaces open applications gone quiet (default 10 days), drafts a brief channel-appropriate follow-up in the candidate's voice using only claims from the already-submitted materials, and logs it (followed up marker in notes + followup_YYYY-MM-DD.md in the archive). Reachable from the no-arg pipeline table (now showing days-quiet and follow-ups-sent) and via /outcome followup [N|company]. Draft-only never send, capped at two follow-ups terminating into Step 2's existing no_response path, and a thank-you note offered the moment Step 3 records a completed interview stage. Reads the contact_person column nothing previously consumed.
Folded into /outcome rather than a standalone command - dependency-free (unlike /gmail-sync) and reusing detection, the archive, the notes ledger, and the resolution path already there. The invited return of #46 (closed stale, not on merit). Guardrail tests mirror the /notion-sync pattern; 10-vs-30-day threshold contrast with /gmail-sync documented and test-pinned.
By @ayobamiseun.
convert_salary_excel.py detected the city column via exact membership (h_lower in CITY_PATTERNS), so real headers like "City Name", "City/Kommune", or "Kommune <suffix>" never matched and every company was written with an empty city field. Switches to header_matches(h, CITY_PATTERNS) - the same whole-token matcher already used for the company, count, index, and ID columns. Same bug class as #151 (company column); bare "City"/"Kommune" inputs are unaffected. Regression test covers bare and suffixed headers.
By @oscarbol09.
check_gitignore() verified each required personal-data rule was present via set membership, but .gitignore is order-sensitive: a later !pattern re-includes a file an earlier rule excluded, so the required line stays physically present while the file is no longer ignored - the guard failed open on exactly the weakening its docstring claims to catch. Keeps the required-rules-present check and additionally rejects any negation line outside a small reviewed ALLOWED_IGNORE_NEGATIONS allowlist (same explicit-widening pattern as ALLOWED_PERMISSIONS). Fixes#194.
By @thejesh23. Verified: allowlist matches the four negations currently in .gitignore; guard test suite passes locally (17 tests) and in CI.
Closes#194
Adds /notion-sync per the conditions agreed in discussion #166: tool-agnostic sync contract with Notion as the in-tree reference binding, silently optional (covers unconfigured, headless, and unauthenticated states), read-only toward the repo with the gitignored sync-state file as its only local write, write-once page bodies, documents sync as filenames only. Complements /html-report: deep local dashboard vs glanceable anywhere-view.
Self-contained HTML dashboard generated from job_search_tracker.csv and the application archives: stat cards, status/sector/channel/funnel charts as hand-generated inline SVG (no CDN, fully offline), HTML-escaped interpolation throughout, and a filterable applications table. Includes Python guards for the command file and the reports/ gitignore rule.
validate_data() accepted category values that are not {count?, index?}
objects. They slipped through to format_entry(), which then raised
AttributeError on a normal table lookup (or serialized a malformed shape
under --json). It also accepted duplicate company names silently.
- collect_validation_issues() now also flags a non-object category value
(and non-numeric count / non number-or-string index) as a hard error,
and duplicate company names as a warning.
- validate_data() keeps its eager-fail behavior (same messages), so
existing tests and load_data() are unchanged.
- --validate runs the checks standalone and prints an actionable report
(exit 1 on errors, 0 on warnings-only/clean), letting users pre-flight
their BYO salary_data.json.
Reproduced on master: validate_data({'companies':[{'company':'Acme',
'categories':{'eng':'not_a_dict'}}]}) returns without error, but
format_entry then raises AttributeError.
Co-authored-by: Tunic Assistant <assistant@tunic.local>
parse_sheet treated every column that was not company/city as a salary category, with no check that the column actually held numeric salary data. This turned free-text columns (e.g. Notes) into bogus string categories and numeric identifier columns (e.g. Id) into mistaken salary indexes.
- Drop identifier headers (ID_PATTERNS = {id, personnummer}) at classification time.
- Skip non-numeric standalone values and fully-null count/index pairs at row-processing time.
- Adds regression tests (skips_free_text_column, skips_numeric_identifier_column, keeps_numeric_salary_column) that fail on master and pass after the fix.
convert_salary_excel.py detected the company column via exact membership
in COMPANY_PATTERNS, so common real-world headers like "Company Name" or
"Employer Name" were never matched. parse_sheet then returned [] for that
sheet, silently dropping it from salary_data.json (or exiting with no
output for a single-sheet file).
Route company-column detection through the existing header_matches()
token matcher (already used for count/index detection). This only adds
detections; inputs that already worked (bare "Company"/"Firma"/...) are
unaffected.
Adds a regression test in tests/test_convert_salary_excel.py that fails
on master (returns []) and passes after the fix.
Valid JSON such as [] or {"permissions": []} caused lint_skills.py to raise AttributeError because it assumed both values were objects.
Validate the top-level settings value and permissions object before reading nested keys. Malformed settings now produce clear lint errors and exit 1 without a traceback.
Add subprocess regression tests covering invalid JSON, malformed root values, invalid permissions values, and non-list permissions.allow values.
This commit improves the performance and consistency of the salary tools:
- Redundant query normalization and word extraction are eliminated in salary_lookup.py by pre-calculating representations once before the search loop.
- A match_score_optimized helper is introduced to perform the comparison using the pre-calculated query data, preserving full backward compatibility for match_score.
- Normalization in tools/convert_salary_excel.py is unified: paired column headers now consistently substitute spaces and dashes with underscores (e.g. 'software_engineering') to match the single-column formatting.
- Unit test coverage is significantly expanded in tests/test_salary_lookup.py and tests/test_convert_salary_excel.py to cover normalization, anglicization, search filtering, and matching behaviors.
* refactor(salary): make compound-word matching locale-agnostic
The Excel column detector hardcoded a DANISH_COMPOUND_PATTERNS set inside
header_matches(), so the compound-word matching that helps Danish headers
(e.g. "lønindeks") was baked into the algorithm by name and unavailable to
any other locale without editing the source.
Rename it to COMPOUND_PATTERNS and pass it as a parameter (default
unchanged, so the Danish demonstration data behaves identically). A
different-locale spreadsheet can now supply its own compound tokens via
header_matches(..., compound_patterns=...). Add a test covering both the
preserved default and the parameterized path.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* refactor(salary): drop unused compound_patterns parameter
Per review: keep the DANISH_COMPOUND_PATTERNS -> COMPOUND_PATTERNS
rename (universal template naming, defaults still Danish), but remove
the compound_patterns= parameter. No caller passes a custom set, and a
fork adapting another locale edits the module-level constant either way,
so parameterizing it is speculative generality per CONTRIBUTING.md.
header_matches() now reads COMPOUND_PATTERNS directly. Test updated to
verify compound-vs-whole-token matching against the constant.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* ci: run the Python test suite - CONTRIBUTING.md asks for tests CI never executes
CONTRIBUTING.md tells contributors to put Python tool tests in tests/
and run the relevant suites, and tests/ now holds real ones
(test_salary_lookup.py, test_convert_salary_excel.py from #75) - but no
CI job executes them. A suite that never runs in CI can't gate a PR and
silently rots. New python-tests job: unittest discover over tests/,
stdlib only, no new dependencies. Future test files run without any
workflow change.
Also lands tests/test_security_guards.py, which missed #84's merge
window (pushed to the branch as #84 was being merged; the merge took
2a6cb8c, the tests were 260c37a). 13 unittest cases in the existing
tests/ style: each copies the guard script into a synthetic repo tree
and runs it as a subprocess - the same way CI invokes it - asserting
real exit codes and messages. Every forbidden state fails (Bash(*) and
Bash(curl:*) additions, each personal-data gitignore rule removed one
at a time, each forbidden lifecycle script, trustedDependencies,
invalid settings JSON, zero manifests); every non-event passes (dropped
shipped permission, extra ignore rules, benign scripts, hostile
manifest inside node_modules); and the real repo passes its own guards.
22 tests total, all passing locally via the exact command the job runs.
* test: use benign lifecycle-script values in fixtures - AV heuristics flag attack-shaped strings
Review found the curl-pipe-to-sh fixture value matches a real Defender
signature (Trojan:Script/Stealer.HAX!MTB): Windows quarantines the temp
package.json mid-test, making the suite flaky for any Windows
contributor who runs it - while proving nothing extra, since the guard
flags the script KEY and never inspects the value.
Fixture values are now 'echo test' (also in the node_modules-ignored
test, same class of string), with a comment on the key-only test
explaining why the value must stay benign so a future 'make the fixture
realistic' cleanup doesn't reintroduce the quarantine flake. Coverage
is unchanged: same keys, same assertions, 13 tests passing.
Oscar Madera