A PyQt6 desktop app for the daily order cycle: pull today's tickets from JIRA (8AM-3:30PM intake), then at end-of-day pull ShipStation tracking numbers and see, at a glance, what's fulfilled, what's cancelled, and what's still open from a previous day (carryover). Odoo integration is file-based for now (CSV export) since the live Odoo side is still in development.

One design note up front: every order is one row, sourced from JIRA. ShipStation only exists here to generate shipping labels for JIRA tickets (order/shipment numbers there are the same as the JIRA ticket number), so it never creates its own rows - "Pull Tracking Numbers" just merges tracking numbers onto the matching JIRA ticket. There's no "source" filter because there's effectively one source.

Setup

pip install -r requirements.txt
Run it once: python main.py (this creates .env from .env.example)
Click Settings and fill in:
- JIRA: Site URL, Email, API Token, JQL (defaults to tickets created today - adjust to match your project/label). The deliverable field IDs are already defaulted from your export (customfield_10573,customfield_10570 for Signify; customfield_12790,customfield_13021 for Oak Street).
- ShipStation: just the API Key.
- Companies: SKU prefix -> company mapping (defaults to SH:Signify Health,OK:Oak Street Health).
- Status Tracking: which statuses count as cancelled/fulfilled - defaults already match what you described (see below).
Click Import from JIRA during/after the intake window.
Click Pull Tracking Numbers (ShipStation) at end-of-day - it merges tracking numbers onto the matching tickets, no separate rows.
Check the Dashboard tab for Fulfilled / Cancelled / Carryover / Tracking Received counts.
Use All Orders to filter by company or search (ticket #, SKU, status, or tracking #), and Export Visible Orders to Odoo CSV for whatever's currently filtered.

Orders are cached locally in SQLite (orders.db). Re-importing updates existing tickets rather than duplicating them.

Three tabs: Active, Cancelled, Done

The tab a ticket shows up on is decided by an allowlist, not a list of every "finished" status:

Active Orders: status is in ACTIVE_STATUSES (default just Created) - the only tickets that represent real work still to do.
Cancelled: status is in CANCELLED_STATUSES (default Cancelled)
- its own tab so it doesn't clutter Active, but still reviewable anytime. Any transition into this status also triggers a popup right after the import that caused it (not one that was already cancelled).
Done: everything else, automatically. This is deliberate - rather than maintaining a list of every status that means "finished" (Waiting For Return, Device Return Not Needed, and whatever your JIRA automation adds next, like 1st Contact Attempt), only the couple of statuses that mean "not done yet" are named. Anything that isn't Created or Cancelled lands on Done with zero config changes needed when your workflow adds another downstream status later.

This is a filter, not a physical move - it's the same orders table, split by current status every time the view refreshes, so nothing to reconcile if a status ever changes back.

Within Done, the two fulfilled statuses (FULFILLED_STATUS_WITH_RETURN / FULFILLED_STATUS_WITHOUT_RETURN, defaulting to Waiting For Return / Device Return Not Needed) still get highlighted green and drive the "Fulfilled Today" dashboard count and fulfilled_at timestamp - they're the two statuses this app actually knows the meaning of, versus other done-statuses (like 1st Contact Attempt) which land on Done but aren't otherwise tracked, per "it is considered done...unnecessary to be tracked for us."

Carryover: tickets that didn't get closed out same-day don't need anything special - since ACTIVE_STATUSES defaults to just Created, every JIRA import re-checks any ticket still in that status regardless of when it was created, so it stays "alive" and its eventual status change gets picked up whenever it happens. The Dashboard's Carryover count is Active tickets created before today, plus today's tickets that arrived past the cutoff (see below) - both cases are known not to get done today, just at different points in the day.

Intake cutoff tracking

INTAKE_CUTOFF_TIME (default 15:30, i.e. 3:30 PM) flags any ticket created after that time on its arrival day with a Past Cutoff "Yes" in the table, and the Dashboard shows how many of today's tickets arrived past cutoff. Since a cutoff ticket is known to spill into tomorrow the moment it arrives, it also counts toward Carryover immediately - not just once the date actually rolls over - unless it still gets fulfilled the same day despite arriving late, in which case it correctly drops out of both.

How tracking numbers get pulled and matched

Confirmed against a real ShipStation payload from your queue (not guessed): a shipment's shipment_number and external_shipment_id both hold the ticket number directly (e.g. both were "AR-160269"). "Pull Tracking Numbers":

Bulk-fetches all of today's labels and all shipments from the last SHIPSTATION_LOOKBACK_DAYS (a code constant in shipstation_service.py, default 7 days - wide enough to catch a shipment that sat "pending" for a day or two before its label was generated). This replaced an earlier version that looked up each shipment individually (one HTTP call per ticket) - the actual cause of the slowness, now down to a handful of bulk list calls.
Fetches those (and any additional pages either needs) concurrently via a PyQt QThreadPool - several requests in flight at once instead of one after another. Capped at MAX_CONCURRENT_REQUESTS (default 5) to stay well clear of any ShipStation rate limit.
Only after both full batches have landed does it sort/correlate labels to shipments to ticket numbers, entirely in memory - reading tracking_number and is_return_label straight off each label, and the ticket number off shipment_number (checked first) or external_shipment_id, falling back to scanning the whole payload with TICKET_NUMBER_REGEX if neither is present.

If a label's ticket number doesn't match any ticket you have locally (e.g. JIRA hasn't been imported yet, or it's an account outlier), you'll get a popup listing which ones didn't match, rather than the data silently vanishing.

Known gap, deferred on purpose: there's a SKU for emailed labels that doesn't go through this shipment/label flow at all - those tickets just won't have tracking numbers pulled, which is expected for now, not a bug. Flag it when you're ready to handle it.

Emergency: Send to ShipStation

For the rare case a ticket needs to skip the normal daily batch. Select a ticket in Active Orders, click Send to ShipStation (Emergency) in the toolbar, review the address/SKU summary shown, then pick one:

Send via API Now - calls ShipStation's API directly (POST /v2/shipments with create_sales_order: true) to create the order without leaving the app. Needs SHIPSTATION_SIGNIFY_STORE_ID / SHIPSTATION_OAKSTREET_STORE_ID set in Settings.
Export CSV Row... - writes a single-ticket CSV matching your real upload template exactly (verified column-for-column against a real export), for manual upload if the API is down.

Both exist on purpose, per "in case the API goes down we still have an option for CSV uploads."

Please verify your first live send, either path. ShipStation's own docs say automation rules apply tags to orders "when they import based on any criteria you set" - meaning your 90 box-packing rules should fire automatically off the SKU/item data, same as a normal CSV import, with no manual tagging needed from this app. That's the best read of their documentation, but it's not something testable without your real account - check that ShipStation packed and priced an emergency-sent order the way a normal one would before relying on this in an actual emergency.

One thing worth knowing: Quantity is always sent as 1 per line item today, since JIRA doesn't currently give a per-deliverable quantity. Say the word if that's ever not right.

Keeping .env in sync as new settings get added

.env is gitignored on purpose (it holds real credentials and field IDs), which means pulling new code never updates it automatically - new settings would otherwise sit silently blank until someone noticed a feature wasn't working (this is what caused an early version of the emergency-send feature to have no address data - the field IDs existed in .env.example but never made it into the real .env). Every startup now calls config.sync_env_with_example(), which adds any key present in .env.example but missing from .env, using the example's value as the default - without touching anything you've already set. Existing tickets in the local database still need a fresh Import from JIRA to pick up newly-added fields, though, since extraction only runs when a ticket is actually re-fetched.

How company/SKU extraction works

Each company has its own pair of "deliverable" custom fields in JIRA (e.g. Signify's Deliverables + Hardware Needed; Oak Street's own versions), configurable via JIRA_SIGNIFY_SKU_FIELDS / JIRA_OAKSTREET_SKU_FIELDS. Each deliverable value looks like SH011: Shipping - Return Label iPad - Physical in Box - the app pulls out just the SH011 code as the SKU and keeps the description for the summary. Company is resolved from the SKU prefix (SH/OK) via COMPANY_SKU_MAP. Since these tickets' actual JIRA "Summary" field is usually blank, the app falls back to the joined deliverable descriptions for the Summary column when there's nothing else there.

Moving storage to your MariaDB LXC later

In Settings (or directly in .env), change:

DB_URL=mysql+pymysql://user:password@<lxc-ip>:3306/order_manager

and pip install pymysql. No code changes needed. Note: this is a local cache rebuilt from JIRA/ShipStation, so if you change DB_URL or the schema changes in a future update, it's safe to just delete orders.db and re-import rather than migrate it.

Project layout

main.py                        entry point
app/
  config.py                    reads/writes .env, defines the settings schema
  database.py                  SQLAlchemy engine/session (SQLite now, MariaDB later)
  models.py                    Order table - one row per JIRA ticket
  companies.py                 SKU-prefix -> company resolution
  status_rules.py              status-list parsing/matching, cancellation detection
  tracking.py                  tracking numbers -> suggested JIRA status
  queries.py                   "what tickets are still open" - used for JIRA re-checking
  workers.py                   background thread(s), save/enrich logic, dashboard stats
  services/
    base.py                    OrderService interface - implement this for new sources
    jira_service.py            JIRA REST API -> NormalizedOrder (SKU fields, company, re-check)
    shipstation_service.py     ShipStation V2 labels+shipments -> tracking numbers by ticket
    odoo_export.py             CSV export for the (in-development) Odoo import template
    __init__.py                SERVICE_REGISTRY - register new sources here
  ui/
    main_window.py             tabs, toolbar, import/export/notification wiring
    settings_dialog.py         auto-built from config.SETTINGS_SCHEMA
    widgets/
      dashboard.py             summary stat cards
      orders_table.py          sortable/filterable Qt table for orders
      order_detail_dialog.py   raw payload + tracking numbers + suggested status, per ticket

Adding real Odoo API access next

Add settings to app/config.py -> SETTINGS_SCHEMA (Odoo group).
Create app/services/odoo_service.py. If it's push-based (you're sending orders to Odoo, most likely given the workflow), it doesn't need to subclass OrderService - a push_orders(orders) method is fine, called from a new toolbar action the same way _on_export_clicked calls export_orders_to_csv.
Wire it up the same way the JIRA/ShipStation buttons are.

Known open item

The emailed-label SKU (mentioned but not detailed yet) needs its own handling eventually - tell me the SKU and what "done" looks like for it when you're ready, and I'll fold it into the terminal-status / tracking logic above rather than bolting on something separate.