Rotate persisted delivery identity only after the matching owner attempt is definitively failed. Keep stale, foreign, pending, sent, and uncertain drafts non-retryable.
Persist and export each draft's idempotency UUID so refresh and edits cannot create a fresh delivery identity. Add reversible provider-specific migration SQL.
Export readable private draft content only through existing owner-filtered encrypted and daily export boundaries, with cross-tenant regression coverage.
Keep follow-up draft generation but remove the direct application SMTP delivery boundary. Route users to the provider-aware Job email flow and return 410 for legacy API callers.
Age stale pre-delivery attempts to failed and in-delivery attempts to uncertain without provider I/O. Notify each owner with content-free guidance and keep recovery idempotent across replicas and restarts.
Require tenant-owned jobs, explicit confirmation, canonical request IDs, and rate limiting before provider delivery. Persist sent correspondence with a content-free idempotency ledger, and never retry uncertain outcomes automatically.
Gmail and Graph request explicit send consent and classify provider rejection separately from uncertain transport failure. IMAP remains read-only; no send API is exposed.
CV upload now returns 202 with an owner-scoped operation instead of holding the request through parsing. Existing review approval remains required.
BREAKING CHANGE: profile-cv upload responses use the durable operation contract.
Production's SQLite-shaped Jobs table lacks AUTO_INCREMENT, causing the legacy opportunity backfill to abort startup. Reuse the existing idempotent MariaDB primary-key repair before backfill runs.
Route public health checks to the API, backfill and synchronize job opportunities, stabilize SPA smoke tests, and document operator-only production steps.
- consolidate API ownership and remove dead vendor code
- add Stripe billing, learning paths, and public CV hardening
- add migration, recovery, security, audit, and browser gates
The structured model and StructuredCvProfileJson.FromSections already map
Projects/Certifications/Languages headings, but the AI normalize prompt
never emitted them, so on the benchmark CV the entire Projects section and
the in-summary languages (English Native, Norwegian B1) were silently
dropped. This closes that gap upstream — no backend schema or data change.
ai-service (tools/summarizer/app.py):
- /cv/normalize: added # Projects and # Certifications headings; a
languages-from-prose rule (pull "native English", "Norwegian at B1" out
of the summary even with no Languages section; ignore programming
languages); and skill-group prefix stripping ("Development:",
"DevOps & Infrastructure:", "Practices:" dropped, only the skills kept).
- /cv/classify-block: Projects and Certifications added to the section
enum + rules (fallback path).
Backend:
- LooksLikeNormalizedMarkdownCv now recognises # Projects / # Certifications
so those CVs still take the markdown assembly path.
Tests:
- CvExtractionCoverageTests (4) lock the C# mapping of Projects,
Certifications and Languages sections into the structured profile.
- ai-service test_classify_block_supports_projects_section (1).
426 backend tests, 17 ai-service tests pass; app.py compiles.
The LLM behaviour (prompt -> headings) needs Ollama to observe and was not
run here; the C# side that consumes the headings is proven and the prompt
change is additive. Merge-not-replace + the review screen are the next
increment (2.1-a, approved: always-review, conservative merge).
Deployment: these prompts live in the ai-service container, which
deploy.sh does not rebuild by default -- deploy with
DEPLOY_BUILD_AI_SERVICE=true or the change won't take effect.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Production GET /api/cv/outline returned 500 "Unknown column
'c.LongTailJson'". CareerProfiles is reconciler-owned, but the
reconciler's CREATE TABLE (both the SQLite and MySQL branches) only
listed Id, OwnerUserId, ProfileJson, Version, CreatedAtUtc, UpdatedAtUtc.
LongTailJson was added to the CareerProfile model in Phase 3 but neither
CREATE was updated and no column-repair existed, so:
- existing databases (prod): the MySQL CREATE is guarded on
!HasMySqlTable, so it never runs once the table exists, and nothing
adds the column -> LoadStructuredAsync selects a column that isn't
there.
- fresh databases: the CREATE itself omitted the column, so even a brand
new MariaDB/SQLite was missing it. The 420 tests never caught this
because they build tables from the EF model, not the reconciler DDL.
The release audit missed it because it never exercised /api/cv/outline.
Add LongTailJson to both CREATE statements and add an additive repair
(EnsureColumn / EnsureMySqlColumn) for existing tables. DEFAULT ''
backfills existing rows and matches the non-nullable model property.
This is the sanctioned reconciler repair path, not a manual ALTER, and
preserves existing data (ADD COLUMN is non-destructive).
Verified on a real MariaDB 11 container: an existing 6-column
CareerProfiles gains LongTailJson on startup (repair path), a fresh DB
gets it from the CREATE (longtext), and GET /api/cv/outline returns 200.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The reconciler's IX_JobApplications_OwnerUserId_FollowUpAt was declared as
(OwnerUserId(191), FollowUpAt) with no prefix length on FollowUpAt. But
FollowUpAt is `text` on MariaDB -- JobApplications is migration-owned and
the migration was scaffolded against SQLite, which stores DateTimeOffset
as TEXT. A text column cannot be indexed without a prefix length, so this
index failed the 3072-byte key check on EVERY MariaDB boot, was caught by
TryCreateIndex, and was silently skipped -- leaving the follow-up reminder
query (OwnerUserId + FollowUpAt) unindexed.
Two consequences, both real:
- the index the code intends to create never existed on MariaDB
- every healthy boot logged "Specified key was too long", which
deploy/first-production-deployment.md lists as a STOP-AND-ROLL-BACK
signal -- so an operator following the runbook could abort a good deploy
The author already handled the identical problem for the longtext Status
column one line below with Status(50). Apply the same fix: FollowUpAt(20).
ISO-8601 date strings sort lexicographically, so a 20-char prefix
("YYYY-MM-DD HH:MM:SS") keeps the index useful for the reminder scan.
Verified on a fresh empty MariaDB 11 container: the index is now created
(both key parts present), zero "Specified key was too long" lines, zero
skipped indexes, zero unhandled exceptions, 42 tables, app healthy. This
was the only unprefixed text column in any reconciler composite index --
the datetime columns on reconciler-owned tables are datetime(6). SQLite is
unaffected (its CREATE INDEX has no key-length limit).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
/health read the APP_VERSION environment variable directly, but
docker-compose passes App__Version, which binds to the App:Version
configuration key. The variable under that name never existed in the
container, so the endpoint always reported "unknown".
Read App:Version through IConfiguration, the approach AdminSystemController
already used for the same value. The resolution rule (configured version,
else assembly version) moves to a shared BuildMetadata helper rather than
being written twice; AdminSystemController now calls it, so the admin page
and /health cannot drift apart.
Local development is unaffected: nothing sets App:Version there, and the
assembly-version fallback still applies.
Tests pin the configuration KEY, not just the behaviour, including that an
App__Version environment variable binds to App:Version. The original bug
failed silently, so a behavioural test alone would not have caught it.
Verified against a running backend: App__Version=9.9.9-test reports
9.9.9-test; unset reports the assembly version rather than "unknown".
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Closes the three operational blockers from the production readiness review.
deploy.sh now takes a database backup before it builds, stops or replaces
anything, and aborts the deploy if the backup fails — so no deploy proceeds
without a restore point. Dumps are gzipped and timestamped into
/opt/job-tracker/backups (override with BACKUP_DIR), so one deploy never
overwrites an earlier backup. Credentials come from the existing connection
string and travel via MYSQL_PWD, never on the command line, so they cannot reach
the process list or the deploy log. A dump that is empty or missing CREATE TABLE
is rejected, because a truncated file that looks like a restore point is worse
than none. SQLite deployments get their data volume tarred instead. Nothing is
ever deleted automatically; retention is documented as manual.
deploy/README.md documents backup creation, location, retention, database
restore, application rollback, and when to use which — restore and rollback kept
distinct, because a bad deploy usually needs only the rollback and restoring
would discard everything written since the dump.
Health checks now cover backend and frontend, which previously had none. GET
/health is anonymous, cheap, and deliberately does not touch the database: a
health check that queried MariaDB would restart a healthy backend whenever the
database blipped, and would hand out an unauthenticated way to probe database
availability. The backend image gains curl on the existing chromium apt layer,
since the aspnet runtime ships neither curl nor wget. frontend now waits for
backend to be healthy rather than merely started, because nginx proxies /api and
refuses to start when the upstream cannot be resolved.
Verified against real containers, no production data: backup from a seeded
MariaDB 11; restore into a clean MariaDB 11 with rows identical; bad credentials
and a missing connection string both abort non-zero and leave no partial file;
SQLite volume backup produces a readable archive; backend and frontend both
reach healthy; and a backend pointed at an unreachable database exits and is
reported unhealthy, so a broken deploy cannot present as a running stack.
Incidentally confirmed the earlier authorization work: with Auth:Require unset,
/health returns 200 while /api/jobapplications returns 401.
393 backend tests pass.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The timeline could interpret InterviewScheduled, InterviewCompleted,
OfferReceived and FollowUpCompleted, but only StatusChanged and FollowUpSet were
ever written, so those branches never rendered.
Events are now derived from the status TRANSITION in one shared emitter rather
than at each call site, so the two status-change boundaries in
JobApplicationsController cannot drift apart and a third would get the behaviour
for free. Both boundaries now call it instead of hand-writing the StatusChanged
block.
Deriving from the transition rather than the resulting state is what prevents
duplicates: one user action produces at most one lifecycle event, re-saving an
unchanged status produces none, and reaching an offer twice records it once.
Moving an application backwards is treated as a correction, not a completed
interview, so only a forward move out of an interview stage counts. An
Interview to Offer move reports the offer, which is the thing the user cares
about.
Completing a follow-up checklist item emits FollowUpCompleted, guarded on the
same transition rule so re-saving a done item stays silent. The task itself
remains a checklist item — this only records that it happened.
No new history store: every event is a JobEvent row, which stays the single
source of application history.
393 backend tests pass, including timeline rendering of the emitted events.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Authentication relied on a fallback policy gated on Auth:Require, which defaults
to false. Five user-owned controllers carried no [Authorize] of their own, so a
deployment that lost that flag would have served tenant data anonymously:
JobApplications, Companies, Correspondence, Rules and JobImport. All five now
declare [Authorize(AuthenticationSchemes = "local")] explicitly.
This does not affect local development, which already sets Auth:Require=true in
appsettings.Development.json — the gap was only ever in a production
configuration that omitted the flag.
Added a reflection test over every controller in the assembly so a new one
cannot ship unprotected by accident. A controller passes if the class requires
authorization, or if every action declares its own [Authorize] or
[AllowAnonymous] — the shape AuthController and TwoFactorController need, since
login and register must stay anonymous while the rest must not. Public endpoints
are an explicit allow-list, so making something anonymous is now a deliberate
edit rather than an omission.
That test found one real gap: AuthController.Logout declared neither attribute.
It is now explicitly [AllowAnonymous] — it only clears the caller's own session
cookies and leaks nothing, and requiring authentication would leave a user whose
token had already expired unable to sign out.
Also pinned: admin controllers require the Admin role rather than merely a
signed-in user, and PublicCvController stays anonymous so shared CV links keep
working.
384 backend tests pass.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Interview generation saw only the profile and the advert, so it produced generic
questions. It now also receives what the workspace already computed: seniority,
employment type, key requirements and advert technologies from the job analysis,
plus the match score, the skills the candidate demonstrably has, the most
relevant experience and projects — and above all the gaps, which is exactly what
an interviewer probes.
No second pipeline. The context comes from ApplicationIntelligenceService, which
is deterministic and read-only, so this adds no AI call and cannot alter user
data. Generation still runs through AiWorkspaceService and is still appended to
AiInteraction.
The dependency is optional, so existing constructions keep working and a missing
intelligence service degrades to the previous prompt instead of failing. Only the
interview module is affected; job-analysis, career-match, cover-letter and
application-review assemble exactly as before.
Suggestion-only is unchanged and now pinned by tests: generation adds an
AiInteraction and nothing else, creates no InterviewPrepItem, leaves existing
prep items and the CareerProfile untouched, and refuses another user's
application. Context is scoped to the requesting user, so another user's profile
is never scored in.
379 backend tests pass.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Phase 5.5. Completes the lifecycle after submission: prepare, communicate, chase.
Interview preparation gets a durable, user-owned store. There were already two
per-application AI stores, InterviewPrepNote and AiWorkspaceNote, but both are
caches that regenerate when their context signature changes — anything a user
typed into them would eventually be overwritten. InterviewPrepItem is the side
nothing regenerates, covering company research, technical notes, behavioural
answers, STAR examples and the user's own questions in one table, because those
categories differ only by label and adding one must not need a migration. Each
item records whether the user wrote it or accepted a suggestion, and an
IsPrepared flag makes the section double as the preparation checklist.
Generation stays in the existing AiWorkspaceService "interview" module, appended
to AiInteraction as before. A suggestion is history until the user adds it as a
prep item; opening the section generates nothing.
Follow-up reuses what exists rather than adding a tracker. The date is
JobApplication.FollowUpAt, the same field RulesEngine and the reminder hosted
service already act on, so reminders keep working with no new wiring. The task
stays an ApplicationChecklistItem in the follow-up category — the section counts
open tasks without owning them. The record is a FollowUpSet JobEvent, the same
type the rest of the app emits.
Communication is untouched: Correspondence already owns recruiter contacts,
history and notes, and the workspace already mounted it.
The timeline interpreter learned five more types — InterviewScheduled,
InterviewCompleted and OfferReceived as milestones, FollowUpCreated and
FollowUpCompleted as routine, deliberately outside the milestone spine so it
stays a summary of what actually happened. JobEvent remains the history source.
InterviewPrepItems is reconciler-owned with a no-op migration, guarded on
JobApplications, and verified on a fresh MariaDB 11: int AUTO_INCREMENT primary
key, varchar owner and title, tinyint flag, datetime(6), composite index inside
the key limit.
371 backend tests, 128 frontend tests, Release build and the production build all
pass locally.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Phase 5.4. Connects the career outputs a user already has to one job
application, without building a second copy of any of them.
The flow is strictly one-directional — CareerProfile -> CvVariant ->
application output — and nothing writes back up. No code path in this phase
touches CareerProfile or its children.
CV integration re-points rather than duplicates. GET/PUT /{id}/cv attaches one
variant to an application via CvVariant.JobApplicationId; replacing detaches the
previous variant instead of deleting it. Creating, duplicating, editing, theming,
previewing, exporting PDF and version history all stay in the existing CV
builder, which the section links into. There is no second CV system.
Tailoring composes the Phase 5.3 analysis and match into skills to highlight,
experience to prioritise, projects to emphasise, keywords to include and gaps to
address. Deterministic and advisory: it says what the user could emphasise and
the user edits the variant themselves. Nothing auto-applies.
Cover letters gain the history they were missing. JobApplication.CoverLetterText
stays the current text with its API contract unchanged; CoverLetterVersions
records what it used to be, so an AI rewrite is never destructive. Restore is
additive — the old text comes back as a new version, so what you restored from
still exists. Source and AiAction record whether the user wrote a version or
approved it from a suggestion, and an AI generation only becomes a version once
the user saves it.
Documents are untouched: the existing Attachment system already covers CV, cover
letter, certificates and portfolio files with a Purpose field, so the workspace
mounts that component rather than adding a second upload path.
CoverLetterVersions is the only new table — reconciler-owned, no-op migration,
guarded on JobApplications, and verified on a fresh MariaDB 11: int
AUTO_INCREMENT primary key, varchar(255) owner, datetime(6), composite index
inside the key limit.
360 backend tests, 115 frontend tests, type check, Release build and the
production build all pass locally.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Phase 5.3. Three read-only reads that answer "how suitable is this job", "how
does my experience match", "what am I missing", "what happened previously".
Timeline (GET /{id}/timeline) is an interpretation layer over JobEvent, which
stays the source of historical truth. Each row gains a readable summary, a
category and a milestone flag; events group by day. Milestones are returned
unfiltered, because narrowing the detail must not hide what actually happened.
Job analysis (GET /{id}/analysis) extracts role, company, location, employment
type, seniority, salary, technologies, skills, responsibilities and keywords
from the advert, reusing the existing SkillTagger so the vocabulary matches the
job importer. It also reports what the advert does NOT say, which is usually the
more useful half.
Career matching (GET /{id}/match) feeds the master CareerProfile into the same
JobCvMatchService the CV builder uses, so one application scores identically
whichever surface asks. It returns the score, matched and missing skills, and
which experience and project entries are the evidence for each match.
All three are deterministic and own no data — no new table, no new column, and
nothing writes to the CareerProfile, a CvVariant, or the JobApplication. The AI
narrative stays where it already was, in AiWorkspaceService's job-analysis and
career-match modules, generated only when the user asks and versioned by the
append-only AiInteraction history. Opening a section costs nothing and changes
nothing.
Frontend adds Timeline, Analysis and Match sections to the workspace, sharing
one loader so loading, empty and error states are consistent. The deterministic
answer renders first, with the AI panel below it.
345 backend tests, 104 frontend tests, type check, production build all pass
locally.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
A completely empty MariaDB database could not start: the reconciler assumed
migration-owned tables already existed, and migrations assumed reconciler-owned
tables already existed. Neither could go first. Existing databases worked, so
only fresh installs were affected.
Startup is now an explicit sequence: connect, reconcile, migrate, reconcile,
start. The reconciler runs twice because neither position alone works — pass 1
repairs legacy schemas and creates the reconciler-owned tables that migrations
reference, pass 2 picks up everything that could not exist yet on a fresh
database. Every statement is existence-guarded, so the second pass is a no-op
scan on a correct database.
Untangled the overlapping ownership:
- RuleSettings is migration-owned. The reconciler also created it, which made a
clean install fail with "Table 'RuleSettings' already exists". It now only
seeds the default row, and only once the table exists.
- The six CareerProfile child tables are reconciler-owned. Their migration was
scaffolded against SQLite and indexed an unbounded longtext OwnerUserId, which
exceeds MariaDB's 3072-byte key limit; it is now a no-op and the reconciler
carries correct per-provider DDL. OwnerUserId and ItemKey are bounded to
varchar(255) in the model so the index fits.
- Reconciler tables that reference another table are guarded on their parent, so
pass 1 skips them on an empty database instead of failing on the foreign key.
- All index creation goes through one EnsureMySqlIndex helper, guarded on table
existence as well as index existence. This removes ten copies of the raw block
that crashed on a missing table.
- The DbContext-owned connection is no longer disposed by the reconciler, and
Open() is guarded on connection state, so the second pass can reuse it.
Verified against MariaDB 11 and SQLite: empty MariaDB (40 tables, starts),
restart on the populated database (idempotent, rows preserved), empty MariaDB
via the Docker image, fresh SQLite (42 tables), and an existing partially
migrated SQLite dev database (34 tables upgraded to 44 with all 13 applications
and 8 companies intact). 329 backend tests pass in Release.
Ownership rules, startup order, fresh install and production upgrade are
documented in docs/infrastructure/database-ownership.md.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Evolve the existing readiness workflow into one persisted, user-controlled
checklist rather than adding a second tracker.
ApplicationChecklistItem records only completion state and user intent. Each
default system item carries a stable SystemKey and an AutoSignal — the same
signal /readiness already computed — and re-syncs on every read: a satisfied
signal auto-completes the item, a reverted signal reopens it, and a manual tick
always wins. Users can add, reorder, dismiss and delete.
Readiness is refactored into a projection of the checklist (score = completion
percentage, completed/missing = live items by status). Its DTO shape and the
workflowSignal/reminders health view are unchanged, so no API contract breaks.
The workspace's next recommended action now comes from the first pending
checklist item in category priority order (preparation, submission, follow-up,
interview, custom), replacing the parallel ruleset — so the overview can never
recommend something already ticked off, and a user's own task can be next.
The table follows the established MariaDB-safe path: the scaffolded migration is
a no-op and the idempotent reconciler owns the DDL for both providers. Verified
on MariaDB 11 — auto_increment PK, varchar/datetime(6)/tinyint(1) columns, both
indexes inside the key limit, cascade delete, unique system key per application,
and NULL system keys not colliding for custom items.
329 backend tests, 94 frontend tests, type check, production build and both
Docker builds pass locally.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>