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agent-company 4cb1a6ed21 Update ROADMAP.md to reflect completed work and add next-horizon items
Move all completed items (security hardening, structured logging, dark mode,
export, webhooks, scheduled analysis, multi-model, trend charts, CI, etc.)
into a new Completed section. Reorganize remaining P1/P2/P3 items to reflect
current priorities. Add new next-horizon items: historical diffing, patent
classification tagging, user API keys, batch export, and multi-tenant support.

Closes leeworks-agents/SPARC#1659

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-20 19:18:22 +00:00
2 changed files with 118 additions and 356 deletions
+118 -76
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@@ -7,86 +7,131 @@ Semiconductor Patent & Analytics Report Core -- development priorities.
SPARC is a patent analysis platform with a working end-to-end pipeline:
Python/FastAPI backend, React/TypeScript frontend, PostgreSQL for persistence
and caching, Docker Compose for local development, and Gitea Actions CI/CD for
image builds. Core features (patent retrieval via SerpAPI, PDF parsing, LLM
analysis via OpenRouter/Claude, batch processing, JWT authentication, analytics
dashboard) are all implemented and functional.
image builds and testing. Core features include patent retrieval via SerpAPI,
PDF parsing, LLM analysis via OpenRouter (multi-model: Claude, GPT-4o, Gemini,
Llama), batch processing, JWT authentication, analytics dashboard with patent
trend charts, scheduled recurring analysis with alerting, webhook notifications
(Slack/Discord), CSV and PDF export, S3/MinIO storage, side-by-side company
comparison, and dark mode.
---
## Completed
Items that have been implemented and merged into main.
### Security hardening
- ~~Rotate default JWT secret.~~ Startup check refuses to start with the
default secret in non-development environments.
- ~~CORS allow-origins are hardcoded.~~ Allowed origins are now configurable
via environment variable.
- ~~Database credentials in docker-compose.yml.~~ Compose references `.env`
for sensitive values.
### Error handling and resilience
- ~~`get_db_client()` creates a new `DatabaseClient` on every call.~~ Refactored
to a shared pooled singleton initialized at startup.
- ~~No rate limiting on auth endpoints.~~ Rate limiting middleware added to
`/auth/login` and `/auth/register`.
### Test coverage
- ~~API tests bypass authentication.~~ JWT auth integration tests added (33
cases covering registration, login, protected routes, token refresh, and
admin-only endpoints).
- ~~No test stage in CI.~~ Gitea Actions workflow now runs `pytest` and gates
the build.
- ~~No linting or type checking in CI.~~ `ruff` (Python) and `tsc --noEmit`
(TypeScript) added to CI pipeline.
### Backend
- ~~Add structured logging.~~ Python `logging` module used throughout.
- ~~Make LLM model configurable.~~ `MODEL` environment variable accepted;
multi-model support with per-analysis selection (GPT-4o, Gemini, Claude,
Llama).
- ~~SERP cache TTL hardcoded.~~ `SERP_CACHE_TTL_HOURS` exposed as env var.
- ~~Patent PDF storage.~~ S3/MinIO object storage backend added alongside
local filesystem. Volume mount requirement documented.
- ~~`analyze_single_patent` assumes local file.~~ Auto-download from cached
metadata link integrated.
- ~~`Patent.patent_id` typed as `int`.~~ Fixed to `str`.
### Frontend
- ~~No loading/error states.~~ Skeleton loaders and error states added to
Batch and Analytics pages.
- ~~No dark mode.~~ Full dark mode support with theme-aware chart colors.
- ~~Missing lockfile.~~ `package-lock.json` committed.
### Features (formerly P3)
- ~~Export analysis reports.~~ CSV and PDF export endpoints implemented.
- ~~Comparison view.~~ Side-by-side company patent portfolio comparison added.
- ~~Scheduled/recurring analysis.~~ APScheduler-based periodic re-analysis
with configurable interval and change-threshold alerting.
- ~~Webhook/notification support.~~ Slack, Discord, and generic HTTP POST
webhooks with retry logic.
- ~~Multi-model support.~~ Model picker in Analysis and Batch pages; backend
allow-list validation.
- ~~Patent trend charts.~~ Filing frequency and category distribution
visualizations added to Analytics page.
- ~~OpenAPI client generation.~~ TypeScript API client auto-generated from
FastAPI spec with CI freshness check.
---
## P1 -- High Priority
These items address correctness, security, and reliability gaps that should be
These items address correctness, reliability, and coverage gaps that should be
resolved before broader production use.
### Security hardening
### Resilience
- **Rotate default JWT secret.** `auth.py` ships a fallback
`sparc-secret-key-change-in-production` that will be used if `JWT_SECRET` is
unset. Add a startup check that refuses to start with the default secret in
non-development environments.
- **CORS allow-origins are hardcoded.** `api.py` only permits
`localhost:3000` and `localhost:5173`. Make the allowed origins configurable
via environment variable so the dashboard works when deployed behind a real
domain.
- **Database credentials in docker-compose.yml.** The compose file embeds
`postgres:postgres` in plain text. Reference a `.env` file or Docker secrets
instead.
- **`_jobs` dict is in-memory only.** Job state is lost on API restart.
Persist job status in PostgreSQL or Redis so async batch results survive
restarts.
### Error handling and resilience
### Test coverage gaps
- **`get_db_client()` in `auth.py` creates a new `DatabaseClient` on every
call.** This bypasses the connection pool and can exhaust database
connections under load. Refactor to share a single pooled client.
- **`_jobs` dict is in-memory only.** Job state is lost on API restart. Persist
job status in PostgreSQL or Redis so async batch results survive restarts.
- **No rate limiting on auth endpoints.** `/auth/login` and `/auth/register`
are unprotected against brute-force or abuse. Add rate limiting middleware.
### Test coverage for auth and admin
- The existing API tests (`tests/test_api.py`) bypass authentication entirely.
Add tests that exercise the JWT flow: registration, login, protected-route
access, token refresh, and admin-only endpoints.
- **Export endpoint tests.** The CSV and PDF export endpoints (`/export/`)
lack test coverage. Add tests covering auth, success, 404, and edge cases.
*(Issue #1655)*
- **Tracked company admin endpoint tests.** The `/admin/tracked` CRUD
endpoints and scheduler integration lack test coverage. *(Issue #1656)*
---
## P2 -- Medium Priority
Improvements to usability, performance, and developer experience.
Improvements to reliability, test coverage, and code quality.
### Backend
### Test coverage
- **Add structured logging.** Replace `print()` calls throughout `analyzer.py`,
`serp_api.py`, and `llm.py` with Python `logging` so log levels and
formatting are consistent.
- **Make LLM model configurable.** `llm.py` hardcodes
`anthropic/claude-3.5-sonnet`. Accept a `MODEL` environment variable to allow
switching models without code changes.
- **SERP cache TTL is hardcoded to 24 hours.** Expose `SERP_CACHE_TTL_HOURS`
as an environment variable in `config.py`.
- **Patent PDF storage.** PDFs are saved to a local `patents/` directory. For
containerized deployments, consider object storage (S3/MinIO) or at minimum
document the volume mount requirement more prominently.
- **`analyze_single_patent` assumes local file path.** The method constructs
`patents/{patent_id}.pdf` and reads from disk, but does not download the PDF
first. Either integrate the download step or document the prerequisite.
- **`Patent.patent_id` typed as `int` in `types.py` but used as `str`
everywhere.** Fix the type annotation to `str`.
- **Webhook integration tests.** The retry logic, Slack/Discord payload
format, and multi-URL dispatch in `webhooks.py` need test coverage.
*(Issue #1657)*
- **S3/MinIO storage backend tests.** `storage.py` has local filesystem tests
but no unit tests for the S3 backend (read, write, exists, delete,
error handling). *(Issue #1660)*
- **`analyze_single_patent` auto-download path tests.** The auto-download
fallback (cache lookup, PDF download, FileNotFoundError) in
`analyzer.py` lacks test coverage. *(Issue #1661)*
### Frontend
### Code quality
- **No loading/error states on several pages.** The Batch and Analytics pages
would benefit from skeleton loaders and user-friendly error messages.
- **No dark mode.** Tailwind is configured but no dark variant is applied.
- **Missing `package-lock.json` or `pnpm-lock.yaml`.** The frontend has no
lockfile committed, leading to non-reproducible builds.
- **Scheduler creates its own DatabaseClient.** `scheduler.py` bypasses the
application-level pooled client, creating a new connection on every tick.
Refactor to use `get_db_client()`. *(Issue #1658)*
### CI/CD
### API improvements
- **No test stage in the Gitea Actions workflow.** `build.yaml` builds and
pushes images but never runs `pytest`. Add a test job that gates the build.
- **No linting or type checking.** Add `ruff` (Python) and `tsc --noEmit`
(TypeScript) to CI.
- **API pagination.** The `/analyze/batch` and `/jobs` endpoints could benefit
from cursor-based pagination for large result sets.
- **Request validation improvements.** Add stricter input validation for
company names (disallow special characters, enforce length limits).
---
@@ -94,23 +139,20 @@ Improvements to usability, performance, and developer experience.
Lower-urgency enhancements and future features.
- **Export analysis reports.** Allow users to download analysis results as PDF
or CSV from the dashboard.
- **Comparison view.** Side-by-side comparison of two companies' patent
portfolios.
- **Scheduled/recurring analysis.** Periodically re-analyze tracked companies
and alert on significant changes.
- **Webhook/notification support.** Send alerts (Slack, Discord, email) when
batch jobs complete or when a company's innovation score changes
significantly.
- **Multi-model support.** Let users choose between LLM providers per analysis
(e.g., GPT-4o, Gemini, Claude) and compare outputs.
- **Patent trend charts.** Visualize patent filing frequency and technology
category distribution over time in the Analytics page.
- **API pagination.** The `/analyze/batch` and `/jobs` endpoints could benefit
from cursor-based pagination for large result sets.
- **OpenAPI client generation.** Auto-generate the TypeScript API client from
the FastAPI OpenAPI spec to keep frontend types in sync.
- **Historical analysis diffing.** Show what changed between two analysis runs
for the same company, highlighting new patents and score shifts.
- **Patent classification tagging.** Automatically tag patents by technology
domain (AI, semiconductors, materials science) using LLM classification.
- **User-level API keys.** Allow users to generate personal API keys for
programmatic access without JWT token refresh.
- **Batch export.** Export analysis results for multiple companies at once as
a ZIP archive.
- **Rate limiting dashboard.** Surface rate limit status and usage statistics
in the admin panel.
- **Async webhook delivery.** Move webhook delivery to a background task queue
(e.g., Celery, arq) to avoid blocking the scheduler.
- **Multi-tenant support.** Scope analysis results and tracked companies per
user or organization.
---
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@@ -1,280 +0,0 @@
"""Tests for webhook notification system: retry logic and Slack/Discord payload format.
Covers issue #1657:
- Retry logic with exponential backoff in _send_with_retry
- Slack/Discord payload formatting in _build_payload
- Generic HTTP POST payload formatting
- notify() dispatching to multiple URLs
- notify_job_completed() and notify_alert() convenience helpers
"""
from datetime import datetime
from unittest.mock import MagicMock, patch, call
import pytest
import requests
from SPARC.webhooks import (
MAX_RETRIES,
_build_payload,
_is_slack_url,
_send_with_retry,
notify,
notify_alert,
notify_job_completed,
)
class TestIsSlackUrl:
"""Tests for Slack/Discord URL detection."""
def test_slack_webhook_url(self):
assert _is_slack_url("https://hooks.slack.com/services/T00/B00/xxx") is True
def test_discord_webhook_url(self):
assert _is_slack_url("https://discord.com/api/webhooks/123/abc") is True
def test_generic_url(self):
assert _is_slack_url("https://example.com/webhook") is False
def test_empty_url(self):
assert _is_slack_url("") is False
class TestBuildPayload:
"""Tests for payload construction."""
def test_generic_payload_structure(self):
"""Generic payload includes event type, timestamp, and data."""
payload = _build_payload("job_completed", {"job_id": "abc123"})
assert payload["event"] == "job_completed"
assert payload["job_id"] == "abc123"
assert "timestamp" in payload
# Timestamp should be ISO format ending with Z
assert payload["timestamp"].endswith("Z")
def test_slack_payload_wraps_in_text(self):
"""Slack payload wraps content in a 'text' field."""
payload = _build_payload("patent_alert", {"company_name": "NVIDIA"}, slack=True)
assert "text" in payload
assert "patent_alert" in payload["text"]
assert "NVIDIA" in payload["text"]
# Slack payload should NOT have the event/timestamp at top level
assert "event" not in payload
assert "timestamp" not in payload
def test_generic_payload_does_not_have_text_field(self):
"""Non-Slack payload does not wrap in text."""
payload = _build_payload("job_completed", {"status": "done"})
assert "text" not in payload
assert payload["status"] == "done"
def test_slack_payload_contains_bold_header(self):
"""Slack payload starts with bold event header using Slack markdown."""
payload = _build_payload("job_completed", {"count": 5}, slack=True)
assert payload["text"].startswith("*[SPARC] job_completed*")
def test_payload_merges_all_data_keys(self):
"""All data keys are included in the generic payload."""
data = {"key1": "val1", "key2": 42, "key3": True}
payload = _build_payload("test_event", data)
assert payload["key1"] == "val1"
assert payload["key2"] == 42
assert payload["key3"] is True
class TestSendWithRetry:
"""Tests for retry logic in _send_with_retry."""
@patch("SPARC.webhooks.time.sleep")
@patch("SPARC.webhooks.requests.post")
def test_success_on_first_attempt(self, mock_post, mock_sleep):
"""Successful delivery on first attempt, no retries."""
mock_post.return_value = MagicMock(status_code=200)
result = _send_with_retry("https://example.com/hook", {"event": "test"})
assert result is True
mock_post.assert_called_once()
mock_sleep.assert_not_called()
@patch("SPARC.webhooks.time.sleep")
@patch("SPARC.webhooks.requests.post")
def test_success_on_second_attempt(self, mock_post, mock_sleep):
"""Fails first, succeeds on retry."""
mock_post.side_effect = [
MagicMock(status_code=500),
MagicMock(status_code=200),
]
result = _send_with_retry("https://example.com/hook", {"event": "test"})
assert result is True
assert mock_post.call_count == 2
mock_sleep.assert_called_once()
@patch("SPARC.webhooks.time.sleep")
@patch("SPARC.webhooks.requests.post")
def test_all_retries_exhausted(self, mock_post, mock_sleep):
"""Returns False after all retries fail."""
mock_post.return_value = MagicMock(status_code=500)
result = _send_with_retry("https://example.com/hook", {"event": "test"})
assert result is False
assert mock_post.call_count == MAX_RETRIES
assert mock_sleep.call_count == MAX_RETRIES - 1
@patch("SPARC.webhooks.time.sleep")
@patch("SPARC.webhooks.requests.post")
def test_exponential_backoff_timing(self, mock_post, mock_sleep):
"""Backoff wait times follow exponential pattern (2^attempt)."""
mock_post.return_value = MagicMock(status_code=500)
_send_with_retry("https://example.com/hook", {"event": "test"})
# With BACKOFF_BASE=2: attempt 1 -> sleep(2), attempt 2 -> sleep(4)
expected_waits = [call(2 ** i) for i in range(1, MAX_RETRIES)]
assert mock_sleep.call_args_list == expected_waits
@patch("SPARC.webhooks.time.sleep")
@patch("SPARC.webhooks.requests.post")
def test_network_error_triggers_retry(self, mock_post, mock_sleep):
"""Network exceptions trigger retry, not immediate failure."""
mock_post.side_effect = [
requests.ConnectionError("Connection refused"),
MagicMock(status_code=200),
]
result = _send_with_retry("https://example.com/hook", {"event": "test"})
assert result is True
assert mock_post.call_count == 2
@patch("SPARC.webhooks.time.sleep")
@patch("SPARC.webhooks.requests.post")
def test_timeout_error_triggers_retry(self, mock_post, mock_sleep):
"""Timeout exceptions trigger retry."""
mock_post.side_effect = [
requests.Timeout("Request timed out"),
MagicMock(status_code=200),
]
result = _send_with_retry("https://example.com/hook", {"event": "test"})
assert result is True
assert mock_post.call_count == 2
@patch("SPARC.webhooks.time.sleep")
@patch("SPARC.webhooks.requests.post")
def test_2xx_status_codes_accepted(self, mock_post, mock_sleep):
"""Any 2xx status code is treated as success."""
mock_post.return_value = MagicMock(status_code=204)
result = _send_with_retry("https://example.com/hook", {"event": "test"})
assert result is True
mock_post.assert_called_once()
@patch("SPARC.webhooks.time.sleep")
@patch("SPARC.webhooks.requests.post")
def test_posts_json_payload(self, mock_post, mock_sleep):
"""Payload is sent as JSON with correct timeout."""
mock_post.return_value = MagicMock(status_code=200)
payload = {"event": "test", "data": "value"}
_send_with_retry("https://example.com/hook", payload)
mock_post.assert_called_once_with(
"https://example.com/hook", json=payload, timeout=10
)
class TestNotify:
"""Tests for the notify() dispatcher."""
@patch("SPARC.webhooks._send_with_retry")
@patch("SPARC.webhooks.WEBHOOK_URLS", ["https://example.com/hook1", "https://example.com/hook2"])
def test_dispatches_to_all_urls(self, mock_send):
"""notify() sends to every configured webhook URL."""
mock_send.return_value = True
notify("job_completed", {"job_id": "test123"})
assert mock_send.call_count == 2
@patch("SPARC.webhooks._send_with_retry")
@patch("SPARC.webhooks.WEBHOOK_URLS", [])
def test_no_urls_configured_returns_immediately(self, mock_send):
"""No-op when no webhook URLs are configured."""
notify("job_completed", {"job_id": "test123"})
mock_send.assert_not_called()
@patch("SPARC.webhooks._send_with_retry")
@patch("SPARC.webhooks.WEBHOOK_URLS", [
"https://hooks.slack.com/services/T00/B00/xxx",
"https://example.com/generic",
])
def test_slack_url_gets_slack_payload(self, mock_send):
"""Slack URLs receive Slack-formatted payloads, others get generic."""
mock_send.return_value = True
notify("test_event", {"key": "val"})
# First call (Slack URL) should have "text" key
slack_payload = mock_send.call_args_list[0][0][1]
assert "text" in slack_payload
# Second call (generic URL) should have "event" key
generic_payload = mock_send.call_args_list[1][0][1]
assert "event" in generic_payload
assert generic_payload["event"] == "test_event"
class TestNotifyJobCompleted:
"""Tests for notify_job_completed() convenience function."""
@patch("SPARC.webhooks.notify")
def test_sends_correct_event_and_data(self, mock_notify):
"""Job completion sends proper event type and summary."""
notify_job_completed(
job_id="batch-001",
status="completed",
total_companies=10,
successful=8,
failed=2,
)
mock_notify.assert_called_once()
event, data = mock_notify.call_args[0]
assert event == "job_completed"
assert data["job_id"] == "batch-001"
assert data["successful"] == 8
assert data["failed"] == 2
assert "8/10" in data["summary"]
class TestNotifyAlert:
"""Tests for notify_alert() convenience function."""
@patch("SPARC.webhooks.notify")
def test_sends_correct_event_and_data(self, mock_notify):
"""Alert notification sends patent_alert event type."""
notify_alert(
company_name="NVIDIA",
alert_type="patent_count_change",
message="Patent count increased by 30%",
)
mock_notify.assert_called_once()
event, data = mock_notify.call_args[0]
assert event == "patent_alert"
assert data["company_name"] == "NVIDIA"
assert data["alert_type"] == "patent_count_change"
assert "30%" in data["message"]