Add GET /admin/rate-limits endpoint (admin-only) that returns current
rate limit configuration and request statistics for all rate-limited
endpoints (/auth/register and /auth/login). Tracks total requests and
rejection counts via in-memory counters.
Includes tests for admin access, non-admin rejection, empty state,
request tracking, and configuration display.
Closesleeworks-agents/SPARC#1675
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add a new GET /analyze/batch endpoint that returns stored analysis results
with cursor-based pagination (default limit 50, max 200). Also update the
existing /jobs endpoint defaults from limit=10/max=100 to limit=50/max=200
for consistency.
The database layer gains a list_analyses() method with cursor support using
(timestamp, id) ordering, matching the existing list_jobs() pattern.
Includes tests for pagination behavior, boundary limits, cursor forwarding,
company name filtering, and empty result sets.
Closesleeworks-agents/SPARC#1669
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add a CompanyName validated type enforcing 2-100 character length and
allowing only alphanumeric characters, spaces, hyphens, ampersands, and
periods. Applied to all endpoints accepting company names: /analyze,
/analyze/patent, /analyze/batch, /admin/tracked, and /export.
Includes unit tests covering too-short, too-long, special character,
leading-character, and valid edge cases for both single and batch
endpoints.
Closesleeworks-agents/SPARC#1670
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The scheduler was refactored (PR #1665) to use the pooled
get_db_client() from SPARC.auth instead of creating its own
DatabaseClient. Update test mocks accordingly and remove the
db.close() assertion since the pooled client is no longer closed
by the scheduler.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
7 test cases covering:
- PDF on disk analyzed directly (no download)
- Auto-download from cached metadata link when PDF missing
- FileNotFoundError when no cached link available
- Cached patent without pdf_link raises FileNotFoundError
- Analysis pipeline failure returns error string gracefully
- Model override parameter forwarded to LLM
- FileNotFoundError during parsing re-raised (not swallowed)
Closesleeworks-agents/SPARC#1661
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
20 test cases covering:
- GET/POST/DELETE /admin/tracked endpoints with admin auth enforcement
- GET /admin/alerts with limit parameter and auth
- scheduler.run_scheduled_analysis() for multi-company analysis, alert
triggering on significant patent count changes, graceful failure handling
Closesleeworks-agents/SPARC#1656
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Covers GET /export/{company_name} and /export/{company_name}/pdf with
13 test cases: successful export, 404 on missing data, auth enforcement,
filename sanitization, XML-special character handling in PDF, and
multi-row output validation.
Closesleeworks-agents/SPARC#1655
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Uncomment the ruff check and pytest steps in the Gitea Actions build
workflow so that linting violations and test failures block image builds.
Fix all pre-existing ruff violations (E402 import ordering in analyzer.py,
F821 undefined name in api.py, I001 unsorted imports in test files, F401
unused import in test_rate_limit.py).
Closesleeworks-agents/SPARC#1559Closesleeworks-agents/SPARC#1560
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Reject unsupported LLM model identifiers with HTTP 400 on all analysis
endpoints (single, batch, async batch). The SUPPORTED_MODELS list was
already defined for the /models endpoint but not enforced on incoming
requests. This completes the multi-model support feature by adding the
missing server-side validation.
Closesleeworks-agents/SPARC#1013
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add test job to build.yaml that runs pytest and ruff before building images
- Add standalone test.yaml workflow for PRs
- Add ruff.toml with E/F/I rules configured
- Fix all ruff lint errors: sort imports, remove unused imports, fix re-exports
- Build jobs now depend on test job passing (needs: test)
Closesleeworks-agents/SPARC#18Closesleeworks-agents/SPARC#19
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add jobs table to database schema (job_id, status, progress, result_json, etc.)
- Add DatabaseClient methods: create_job, update_job, get_job, list_jobs
- Add mark_stale_jobs_failed() called at startup to handle interrupted jobs
- Refactor _run_batch_job and job endpoints to read/write from PostgreSQL
- Remove in-memory _jobs dict; job state now survives API restarts
- Update init_database.py to list all tables in output
Closesleeworks-agents/SPARC#8
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Add check_jwt_secret() that refuses default JWT secret when APP_ENV != development
- Make CORS origins configurable via CORS_ORIGINS env var (comma-separated)
- Replace hardcoded postgres credentials in docker-compose.yml with env var references
- Add APP_ENV and cors_origins to config.py
- Update .env.example with all required variables and documentation
- Add tests for JWT startup guard and CORS configuration
Closesleeworks-agents/SPARC#4Closesleeworks-agents/SPARC#5Closesleeworks-agents/SPARC#6
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
_analyze_company_safe was calling SERP.query directly, bypassing the
SERP query cache in analyze_company. Now delegates fully to
analyze_company() and reads patent_count from the serp_queries cache.
- Add TestSingleQueryBugFix: verify SERP.query called once per analysis
- Add TestPatentCaching: DB cache hit/miss, SERP query cache hit/miss
- Add TestDynamicDateRange: rolling window, days_back param
- Add TestFilesystemPDFCaching: skip download, redownload empty files
- Add autouse mock_db fixture to prevent real DB connections in all tests
Rename database mode tests to cache mode to reflect new architecture:
- Replace USE_DATABASE with USE_CACHE references
- Update test assertions for cache behavior
- Maintain backward compatibility testing
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Create REST API with endpoints for single and batch analysis
- Add async job support for long-running batch operations
- Implement job status tracking and listing endpoints
- Add 9 tests for API endpoints
- Update requirements.txt with fastapi, uvicorn, httpx
- Document API usage in README
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add CompanyAnalysisResult and BatchAnalysisResult dataclasses
- Implement analyze_companies() for concurrent batch analysis
- Implement analyze_companies_sequential() for rate-limited scenarios
- Add progress callback support for monitoring batch jobs
- Include 5 new tests for batch processing functionality
- Fix pre-existing test mock issue in test_llm.py
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Replace direct Anthropic API integration with OpenRouter to enable
more flexible LLM provider access while maintaining Claude 3.5 Sonnet.
Changes:
- Replace anthropic package with openai in requirements.txt
- Update config to use OPENROUTER_API_KEY instead of ANTHROPIC_API_KEY
- Migrate LLMAnalyzer from Anthropic client to OpenAI client with
OpenRouter base URL (https://openrouter.ai/api/v1)
- Update model identifier to OpenRouter format: anthropic/claude-3.5-sonnet
- Convert API calls from messages.create() to chat.completions.create()
- Update response parsing to match OpenAI format
- Rename API key parameter in CompanyAnalyzer from anthropic_api_key
to openrouter_api_key
- Update all tests to mock OpenAI client instead of Anthropic
- Fix client initialization to accept direct API key parameter
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Created CompanyAnalyzer class that orchestrates the complete pipeline:
1. Retrieves patents via SERP API
2. Downloads and parses PDFs
3. Minimizes content (removes bloat)
4. Analyzes portfolio with LLM
5. Returns performance estimation
Features:
- Full company portfolio analysis
- Single patent analysis support
- Robust error handling (continues on partial failures)
- Progress logging for user visibility
Updated main.py with clean example usage demonstrating the high-level API.
Added comprehensive test suite (7 tests) covering:
- Full pipeline integration
- Error handling at each stage
- Single patent analysis
- Edge cases (no patents, all failures)
All 26 tests passing.
This completes the core functionality for patent-based company
performance estimation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implemented LLMAnalyzer class using Anthropic's Claude API for:
- Single patent content analysis
- Portfolio-wide analysis across multiple patents
- Configurable API key management via environment variables
Key features:
- Uses Claude 3.5 Sonnet for high-quality analysis
- Structured prompts for innovation assessment
- Token limits optimized per use case (1024 for single, 2048 for portfolio)
- Analyzes: innovation quality, market potential, strategic direction
Updated config.py to support ANTHROPIC_API_KEY environment variable.
Added comprehensive test suite (6 tests) covering:
- Initialization from config and direct API key
- Single patent analysis
- Portfolio analysis
- Token limit validation
All 19 tests passing.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Added pytest and pytest-mock to requirements.txt for testing infrastructure.
Created tests/ directory with comprehensive test coverage for:
- Text cleaning functions (figure references, whitespace, line numbers)
- Section extraction logic (abstract, claims, case sensitivity)
All 8 tests passing. This provides a foundation for test-driven
development as we continue building the LLM integration.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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