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signal-platform/docs/fundamentals-deployment.md
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# Fundamentals production deployment
This is the one-time production setup for the Dolt earnings and SEC fundamentals
imports. Both imports remain shadow inputs until the separate A5 scoring-cutover
approval. Do not add OS cron entries: the application scheduler owns both jobs.
## What the deployment adds
- `Dolt Earnings Import (shadow)` runs daily at 02:30 America/New_York.
- `SEC Fundamentals Import (shadow)` runs daily at 04:00 America/New_York.
- Both jobs are visible, toggleable, and manually triggerable in Admin → Jobs.
- Cron expressions are editable in Admin → Schedule.
- Every attempt is recorded in `data_import_runs`; failures also create a system
event. A failed validation does not promote partial data.
The systemd service uses one application worker. The import framework also holds
a PostgreSQL advisory lock per source, so an overlapping manual/scheduled run is
skipped safely.
## Prerequisites
The production `.env` at `/opt/signalplatform/.env` must contain:
```dotenv
DOLT_BINARY=/usr/local/bin/dolt
DOLT_DATA_DIR=/var/lib/signal-platform/dolt
DOLT_EARNINGS_SUBDIR=earnings
DOLT_MIN_FREE_DISK_GB=5.0
SEC_USER_AGENT=signal-platform/1.0 (contact: real-address@example.com)
SEC_REQUEST_SPACING_SECONDS=0.2
```
Use a real monitored contact address. Keep at least 5 GB free at the Dolt data
path; 810 GB gives comfortable growth headroom. The data directory must stay
outside `/opt/signalplatform`, because deployments use `rsync --delete` there.
## One-time provisioning
First deploy the commit containing this bundle to production. Then SSH to the
server and run:
```bash
cd /opt/signalplatform
sudo bash ./deploy/provision_fundamentals.sh
sudo -u deploy bash ./deploy/provision_fundamentals.sh --check
sudo systemctl restart signalplatform.service
curl -fsS http://127.0.0.1:8998/api/v1/health
```
The provisioner is idempotent. It installs the pinned Dolt version, creates the
persistent directory as `deploy:deploy`, clones
`post-no-preference/earnings`, configures a repository-local author identity for
`dolt pull`, verifies free space and `.env`, and refuses an unexpected
Dolt version. It does not modify PostgreSQL or start an import. The public clone
does not require `dolt login`.
For a server provisioned before the author-identity check was added, repair the
existing clone once with:
```bash
sudo -u deploy -H /usr/local/bin/dolt config --global --add user.name "Signal Platform"
sudo -u deploy -H /usr/local/bin/dolt config --global --add user.email "signal-platform@localhost"
```
Do not replace the pinned version with `latest`. A future Dolt upgrade should be
a reviewed change to `DOLT_VERSION`, followed by the same provision/check flow.
## First-run verification
In Admin → Jobs, wait until no other job is running, then:
1. Trigger **Dolt Earnings Import (shadow)**. Expect `completed` with import
status `promoted`; a repeat without an upstream change should report `no_op`.
2. Trigger **SEC Fundamentals Import (shadow)**. The first run performs the
tracked-universe history backfill and can take materially longer than a daily
incremental run. Expect `completed` with import status `promoted`.
3. Check Admin → System Events. There should be no new import error.
4. Confirm the next-run times correspond to 02:30 and 04:00 New York time.
5. Open several ticker pages and confirm the fundamentals panel has populated
data and still handles partial/missing issuers cleanly.
Optional database verification:
```sql
SELECT source, status, revision, source_max_date, started_at, completed_at,
validation_json
FROM data_import_runs
WHERE source IN ('dolt_earnings', 'sec_facts')
ORDER BY id DESC
LIMIT 10;
SELECT count(*) FROM earnings_events WHERE source = 'dolt_earnings';
SELECT count(*), count(DISTINCT cik) FROM fundamental_snapshots;
```
During the longer first SEC run, execute the following in a second SSH session.
It opens an independent database connection and attempts the same source lock:
```bash
cd /opt/signalplatform
sudo -u deploy .venv/bin/python - <<'PY'
import asyncio
from sqlalchemy import text
from app.database import engine
from app.services.data_import import _advisory_key
async def main():
key = _advisory_key("sec_facts")
async with engine.connect() as connection:
acquired = await connection.scalar(
text("SELECT pg_try_advisory_lock(:key)"), {"key": key}
)
print("UNEXPECTED: lock acquired" if acquired else "OK: source lock is busy")
if acquired:
await connection.execute(
text("SELECT pg_advisory_unlock(:key)"), {"key": key}
)
asyncio.run(main())
PY
```
Expect `OK: source lock is busy`. This is the remaining live-PostgreSQL
mutual-exclusion check; SQLite unit tests cannot exercise PostgreSQL advisory
locks. A second Admin trigger should independently report the job as busy.
## Failure and rollback
- Disable the failing shadow job in Admin → Jobs. This stops scheduled imports
without changing existing data or the legacy scoring path.
- Inspect the job runtime, latest `data_import_runs.validation_json`, service
logs, and Admin → System Events before retrying.
- Re-run `sudo -u deploy bash ./deploy/provision_fundamentals.sh --check` for
binary, clone, permission, disk, or environment failures.
- The Dolt clone is a reproducible cache and does not need a bespoke backup.
PostgreSQL (including `earnings_events`, `fundamental_snapshots`, and import
audit rows) must remain covered by the normal production database backup.
- Do not proceed to A5 while either shadow feed is unhealthy or the parity gate
has not received explicit approval.