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| Author | SHA1 | Date | |
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| 349bb4d073 | |||
| 6105ba7793 | |||
| e8cdc089fa |
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@@ -0,0 +1,122 @@
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# SPARC Roadmap
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Semiconductor Patent & Analytics Report Core -- development priorities.
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## Current State
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SPARC is a patent analysis platform with a working end-to-end pipeline:
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Python/FastAPI backend, React/TypeScript frontend, PostgreSQL for persistence
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and caching, Docker Compose for local development, and Gitea Actions CI/CD for
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image builds. Core features (patent retrieval via SerpAPI, PDF parsing, LLM
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analysis via OpenRouter/Claude, batch processing, JWT authentication, analytics
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dashboard) are all implemented and functional.
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---
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## P1 -- High Priority
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These items address correctness, security, and reliability gaps that should be
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resolved before broader production use.
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### Security hardening
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- **Rotate default JWT secret.** `auth.py` ships a fallback
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`sparc-secret-key-change-in-production` that will be used if `JWT_SECRET` is
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unset. Add a startup check that refuses to start with the default secret in
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non-development environments.
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- **CORS allow-origins are hardcoded.** `api.py` only permits
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`localhost:3000` and `localhost:5173`. Make the allowed origins configurable
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via environment variable so the dashboard works when deployed behind a real
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domain.
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- **Database credentials in docker-compose.yml.** The compose file embeds
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`postgres:postgres` in plain text. Reference a `.env` file or Docker secrets
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instead.
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### Error handling and resilience
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- **`get_db_client()` in `auth.py` creates a new `DatabaseClient` on every
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call.** This bypasses the connection pool and can exhaust database
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connections under load. Refactor to share a single pooled client.
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- **`_jobs` dict is in-memory only.** Job state is lost on API restart. Persist
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job status in PostgreSQL or Redis so async batch results survive restarts.
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- **No rate limiting on auth endpoints.** `/auth/login` and `/auth/register`
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are unprotected against brute-force or abuse. Add rate limiting middleware.
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### Test coverage for auth and admin
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- The existing API tests (`tests/test_api.py`) bypass authentication entirely.
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Add tests that exercise the JWT flow: registration, login, protected-route
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access, token refresh, and admin-only endpoints.
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---
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## P2 -- Medium Priority
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Improvements to usability, performance, and developer experience.
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### Backend
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- **Add structured logging.** Replace `print()` calls throughout `analyzer.py`,
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`serp_api.py`, and `llm.py` with Python `logging` so log levels and
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formatting are consistent.
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- **Make LLM model configurable.** `llm.py` hardcodes
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`anthropic/claude-3.5-sonnet`. Accept a `MODEL` environment variable to allow
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switching models without code changes.
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- **SERP cache TTL is hardcoded to 24 hours.** Expose `SERP_CACHE_TTL_HOURS`
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as an environment variable in `config.py`.
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- **Patent PDF storage.** PDFs are saved to a local `patents/` directory. For
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containerized deployments, consider object storage (S3/MinIO) or at minimum
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document the volume mount requirement more prominently.
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- **`analyze_single_patent` assumes local file path.** The method constructs
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`patents/{patent_id}.pdf` and reads from disk, but does not download the PDF
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first. Either integrate the download step or document the prerequisite.
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- **`Patent.patent_id` typed as `int` in `types.py` but used as `str`
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everywhere.** Fix the type annotation to `str`.
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### Frontend
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- **No loading/error states on several pages.** The Batch and Analytics pages
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would benefit from skeleton loaders and user-friendly error messages.
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- **No dark mode.** Tailwind is configured but no dark variant is applied.
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- **Missing `package-lock.json` or `pnpm-lock.yaml`.** The frontend has no
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lockfile committed, leading to non-reproducible builds.
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### CI/CD
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- **No test stage in the Gitea Actions workflow.** `build.yaml` builds and
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pushes images but never runs `pytest`. Add a test job that gates the build.
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- **No linting or type checking.** Add `ruff` (Python) and `tsc --noEmit`
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(TypeScript) to CI.
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---
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## P3 -- Nice to Have
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Lower-urgency enhancements and future features.
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- **Export analysis reports.** Allow users to download analysis results as PDF
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or CSV from the dashboard.
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- **Comparison view.** Side-by-side comparison of two companies' patent
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portfolios.
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- **Scheduled/recurring analysis.** Periodically re-analyze tracked companies
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and alert on significant changes.
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- **Webhook/notification support.** Send alerts (Slack, Discord, email) when
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batch jobs complete or when a company's innovation score changes
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significantly.
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- **Multi-model support.** Let users choose between LLM providers per analysis
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(e.g., GPT-4o, Gemini, Claude) and compare outputs.
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- **Patent trend charts.** Visualize patent filing frequency and technology
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category distribution over time in the Analytics page.
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- **API pagination.** The `/analyze/batch` and `/jobs` endpoints could benefit
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from cursor-based pagination for large result sets.
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- **OpenAPI client generation.** Auto-generate the TypeScript API client from
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the FastAPI OpenAPI spec to keep frontend types in sync.
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---
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## Infrastructure and Deployment
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Kubernetes manifests, Helm charts, and cluster-level concerns (MetalLB,
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storage, FluxCD sync) are tracked in the
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[Talos](https://10.0.1.10/leeworks-agents/Talos) repository. File
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infrastructure-related issues there, not here.
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+6
-2
@@ -16,11 +16,13 @@ from SPARC.analyzer import CompanyAnalyzer
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from SPARC.auth import (
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TokenResponse,
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UserResponse,
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close_db_client,
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create_tokens,
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decode_token,
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get_current_admin,
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get_current_user,
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get_db_client,
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init_db_client,
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)
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from SPARC.types import BatchAnalysisResult, CompanyAnalysisResult
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@@ -148,12 +150,14 @@ _analyzer: CompanyAnalyzer | None = None
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""Initialize resources on startup."""
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"""Initialize resources on startup, clean up on shutdown."""
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global _analyzer
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init_db_client()
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_analyzer = CompanyAnalyzer()
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yield
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# Cleanup if needed
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# Cleanup
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_analyzer = None
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close_db_client()
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app = FastAPI(
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+29
-4
@@ -132,11 +132,36 @@ def decode_token(token: str) -> Optional[TokenPayload]:
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return None
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# Shared database client singleton, initialized at startup via init_db_client()
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_db_client: DatabaseClient | None = None
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def init_db_client() -> None:
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"""Initialize the shared database client. Call once at app startup."""
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global _db_client
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_db_client = DatabaseClient(config.database_url)
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_db_client.connect()
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def close_db_client() -> None:
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"""Close the shared database client. Call at app shutdown."""
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global _db_client
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if _db_client:
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_db_client.close()
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_db_client = None
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def get_db_client() -> DatabaseClient:
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"""Get database client for auth operations."""
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client = DatabaseClient(config.database_url)
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client.connect()
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return client
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"""Get the shared pooled database client for auth operations.
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Returns the module-level singleton DatabaseClient. If not yet initialized
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(e.g., during tests), creates a new instance as a fallback.
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"""
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global _db_client
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if _db_client is None:
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_db_client = DatabaseClient(config.database_url)
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_db_client.connect()
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return _db_client
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async def get_current_user(
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+152
-165
@@ -201,8 +201,6 @@ class DatabaseClient:
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Returns:
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Cached message dict if found, None otherwise
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"""
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self.connect()
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prompt_hash = self.hash_prompt(prompt)
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query = """
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@@ -225,10 +223,11 @@ class DatabaseClient:
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query += " ORDER BY timestamp DESC LIMIT 1"
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with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
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cursor.execute(query, params)
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result = cursor.fetchone()
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return dict(result) if result else None
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with self.get_conn() as conn:
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with conn.cursor(cursor_factory=RealDictCursor) as cursor:
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cursor.execute(query, params)
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result = cursor.fetchone()
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return dict(result) if result else None
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def store_message(
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self,
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@@ -256,33 +255,32 @@ class DatabaseClient:
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Returns:
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The ID of the inserted record
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"""
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self.connect()
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prompt_hash = self.hash_prompt(prompt)
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with self.conn.cursor() as cursor:
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cursor.execute(
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"""
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INSERT INTO llm_messages
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(prompt, prompt_hash, response, company_name, analysis_type, model, metadata, token_usage, is_cached)
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VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
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RETURNING id
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""",
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(
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prompt,
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prompt_hash,
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response,
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company_name,
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analysis_type,
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model,
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json.dumps(metadata) if metadata else None,
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json.dumps(token_usage) if token_usage else None,
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is_cached,
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),
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||||
)
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with self.get_conn() as conn:
|
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with conn.cursor() as cursor:
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cursor.execute(
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"""
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INSERT INTO llm_messages
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(prompt, prompt_hash, response, company_name, analysis_type, model, metadata, token_usage, is_cached)
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VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
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||||
RETURNING id
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||||
""",
|
||||
(
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||||
prompt,
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||||
prompt_hash,
|
||||
response,
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||||
company_name,
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||||
analysis_type,
|
||||
model,
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||||
json.dumps(metadata) if metadata else None,
|
||||
json.dumps(token_usage) if token_usage else None,
|
||||
is_cached,
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),
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||||
)
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||||
|
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message_id = cursor.fetchone()[0]
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self.conn.commit()
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message_id = cursor.fetchone()[0]
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conn.commit()
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||||
|
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return message_id
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|
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@@ -304,8 +302,6 @@ class DatabaseClient:
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Returns:
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List of message dictionaries
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"""
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self.connect()
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||||
|
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query = "SELECT * FROM llm_messages WHERE 1=1"
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params = []
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|
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@@ -320,9 +316,10 @@ class DatabaseClient:
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query += " ORDER BY timestamp DESC LIMIT %s OFFSET %s"
|
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params.extend([limit, offset])
|
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|
||||
with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(query, params)
|
||||
return [dict(row) for row in cursor.fetchall()]
|
||||
with self.get_conn() as conn:
|
||||
with conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(query, params)
|
||||
return [dict(row) for row in cursor.fetchall()]
|
||||
|
||||
def get_analytics(self, days: int = 30) -> Dict:
|
||||
"""Get analytics on message usage.
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||||
@@ -333,53 +330,52 @@ class DatabaseClient:
|
||||
Returns:
|
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Dictionary with analytics data
|
||||
"""
|
||||
self.connect()
|
||||
with self.get_conn() as conn:
|
||||
with conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
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# Total messages
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||||
cursor.execute(
|
||||
"""
|
||||
SELECT COUNT(*) as total_messages
|
||||
FROM llm_messages
|
||||
WHERE timestamp >= NOW() - INTERVAL '%s days'
|
||||
""",
|
||||
(days,),
|
||||
)
|
||||
total = cursor.fetchone()["total_messages"]
|
||||
|
||||
with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
# Total messages
|
||||
cursor.execute(
|
||||
"""
|
||||
SELECT COUNT(*) as total_messages
|
||||
FROM llm_messages
|
||||
WHERE timestamp >= NOW() - INTERVAL '%s days'
|
||||
""",
|
||||
(days,),
|
||||
)
|
||||
total = cursor.fetchone()["total_messages"]
|
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# Messages by company
|
||||
cursor.execute(
|
||||
"""
|
||||
SELECT company_name, COUNT(*) as count
|
||||
FROM llm_messages
|
||||
WHERE timestamp >= NOW() - INTERVAL '%s days'
|
||||
GROUP BY company_name
|
||||
ORDER BY count DESC
|
||||
LIMIT 10
|
||||
""",
|
||||
(days,),
|
||||
)
|
||||
by_company = cursor.fetchall()
|
||||
|
||||
# Messages by company
|
||||
cursor.execute(
|
||||
"""
|
||||
SELECT company_name, COUNT(*) as count
|
||||
FROM llm_messages
|
||||
WHERE timestamp >= NOW() - INTERVAL '%s days'
|
||||
GROUP BY company_name
|
||||
ORDER BY count DESC
|
||||
LIMIT 10
|
||||
""",
|
||||
(days,),
|
||||
)
|
||||
by_company = cursor.fetchall()
|
||||
# Messages by type
|
||||
cursor.execute(
|
||||
"""
|
||||
SELECT analysis_type, COUNT(*) as count
|
||||
FROM llm_messages
|
||||
WHERE timestamp >= NOW() - INTERVAL '%s days'
|
||||
GROUP BY analysis_type
|
||||
ORDER BY count DESC
|
||||
""",
|
||||
(days,),
|
||||
)
|
||||
by_type = cursor.fetchall()
|
||||
|
||||
# Messages by type
|
||||
cursor.execute(
|
||||
"""
|
||||
SELECT analysis_type, COUNT(*) as count
|
||||
FROM llm_messages
|
||||
WHERE timestamp >= NOW() - INTERVAL '%s days'
|
||||
GROUP BY analysis_type
|
||||
ORDER BY count DESC
|
||||
""",
|
||||
(days,),
|
||||
)
|
||||
by_type = cursor.fetchall()
|
||||
|
||||
return {
|
||||
"total_messages": total,
|
||||
"by_company": [dict(row) for row in by_company],
|
||||
"by_type": [dict(row) for row in by_type],
|
||||
"period_days": days,
|
||||
}
|
||||
return {
|
||||
"total_messages": total,
|
||||
"by_company": [dict(row) for row in by_company],
|
||||
"by_type": [dict(row) for row in by_type],
|
||||
"period_days": days,
|
||||
}
|
||||
|
||||
# Patent Cache Methods
|
||||
|
||||
@@ -505,25 +501,23 @@ class DatabaseClient:
|
||||
Returns:
|
||||
Created user dict or None if email exists
|
||||
"""
|
||||
self.connect()
|
||||
|
||||
password_hash = self.hash_password(password)
|
||||
|
||||
try:
|
||||
with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(
|
||||
"""
|
||||
INSERT INTO users (email, password_hash, role)
|
||||
VALUES (%s, %s, %s)
|
||||
RETURNING id, email, role, created_at
|
||||
""",
|
||||
(email, password_hash, role),
|
||||
)
|
||||
user = cursor.fetchone()
|
||||
self.conn.commit()
|
||||
with self.get_conn() as conn:
|
||||
with conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(
|
||||
"""
|
||||
INSERT INTO users (email, password_hash, role)
|
||||
VALUES (%s, %s, %s)
|
||||
RETURNING id, email, role, created_at
|
||||
""",
|
||||
(email, password_hash, role),
|
||||
)
|
||||
user = cursor.fetchone()
|
||||
conn.commit()
|
||||
return dict(user) if user else None
|
||||
except psycopg2.errors.UniqueViolation:
|
||||
self.conn.rollback()
|
||||
return None
|
||||
|
||||
def authenticate_user(self, email: str, password: str) -> Optional[Dict]:
|
||||
@@ -536,23 +530,22 @@ class DatabaseClient:
|
||||
Returns:
|
||||
User dict if authenticated, None otherwise
|
||||
"""
|
||||
self.connect()
|
||||
with self.get_conn() as conn:
|
||||
with conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(
|
||||
"SELECT * FROM users WHERE email = %s",
|
||||
(email,),
|
||||
)
|
||||
user = cursor.fetchone()
|
||||
|
||||
with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(
|
||||
"SELECT * FROM users WHERE email = %s",
|
||||
(email,),
|
||||
)
|
||||
user = cursor.fetchone()
|
||||
|
||||
if user and self.verify_password(password, user["password_hash"]):
|
||||
return {
|
||||
"id": user["id"],
|
||||
"email": user["email"],
|
||||
"role": user["role"],
|
||||
"created_at": user["created_at"],
|
||||
}
|
||||
return None
|
||||
if user and self.verify_password(password, user["password_hash"]):
|
||||
return {
|
||||
"id": user["id"],
|
||||
"email": user["email"],
|
||||
"role": user["role"],
|
||||
"created_at": user["created_at"],
|
||||
}
|
||||
return None
|
||||
|
||||
def get_user_by_id(self, user_id: int) -> Optional[Dict]:
|
||||
"""Get a user by ID.
|
||||
@@ -563,15 +556,14 @@ class DatabaseClient:
|
||||
Returns:
|
||||
User dict or None
|
||||
"""
|
||||
self.connect()
|
||||
|
||||
with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(
|
||||
"SELECT id, email, role, created_at FROM users WHERE id = %s",
|
||||
(user_id,),
|
||||
)
|
||||
user = cursor.fetchone()
|
||||
return dict(user) if user else None
|
||||
with self.get_conn() as conn:
|
||||
with conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(
|
||||
"SELECT id, email, role, created_at FROM users WHERE id = %s",
|
||||
(user_id,),
|
||||
)
|
||||
user = cursor.fetchone()
|
||||
return dict(user) if user else None
|
||||
|
||||
def get_user_by_email(self, email: str) -> Optional[Dict]:
|
||||
"""Get a user by email.
|
||||
@@ -582,15 +574,14 @@ class DatabaseClient:
|
||||
Returns:
|
||||
User dict or None
|
||||
"""
|
||||
self.connect()
|
||||
|
||||
with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(
|
||||
"SELECT id, email, role, created_at FROM users WHERE email = %s",
|
||||
(email,),
|
||||
)
|
||||
user = cursor.fetchone()
|
||||
return dict(user) if user else None
|
||||
with self.get_conn() as conn:
|
||||
with conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(
|
||||
"SELECT id, email, role, created_at FROM users WHERE email = %s",
|
||||
(email,),
|
||||
)
|
||||
user = cursor.fetchone()
|
||||
return dict(user) if user else None
|
||||
|
||||
def get_all_users(self, limit: int = 100, offset: int = 0) -> List[Dict]:
|
||||
"""Get all users (admin only).
|
||||
@@ -602,19 +593,18 @@ class DatabaseClient:
|
||||
Returns:
|
||||
List of user dicts
|
||||
"""
|
||||
self.connect()
|
||||
|
||||
with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(
|
||||
"""
|
||||
SELECT id, email, role, created_at
|
||||
FROM users
|
||||
ORDER BY created_at DESC
|
||||
LIMIT %s OFFSET %s
|
||||
""",
|
||||
(limit, offset),
|
||||
)
|
||||
return [dict(row) for row in cursor.fetchall()]
|
||||
with self.get_conn() as conn:
|
||||
with conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(
|
||||
"""
|
||||
SELECT id, email, role, created_at
|
||||
FROM users
|
||||
ORDER BY created_at DESC
|
||||
LIMIT %s OFFSET %s
|
||||
""",
|
||||
(limit, offset),
|
||||
)
|
||||
return [dict(row) for row in cursor.fetchall()]
|
||||
|
||||
def update_user_role(self, user_id: int, role: str) -> Optional[Dict]:
|
||||
"""Update a user's role (admin only).
|
||||
@@ -626,20 +616,19 @@ class DatabaseClient:
|
||||
Returns:
|
||||
Updated user dict or None
|
||||
"""
|
||||
self.connect()
|
||||
|
||||
with self.conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(
|
||||
"""
|
||||
UPDATE users
|
||||
SET role = %s, updated_at = CURRENT_TIMESTAMP
|
||||
WHERE id = %s
|
||||
RETURNING id, email, role, created_at
|
||||
""",
|
||||
(role, user_id),
|
||||
)
|
||||
user = cursor.fetchone()
|
||||
self.conn.commit()
|
||||
with self.get_conn() as conn:
|
||||
with conn.cursor(cursor_factory=RealDictCursor) as cursor:
|
||||
cursor.execute(
|
||||
"""
|
||||
UPDATE users
|
||||
SET role = %s, updated_at = CURRENT_TIMESTAMP
|
||||
WHERE id = %s
|
||||
RETURNING id, email, role, created_at
|
||||
""",
|
||||
(role, user_id),
|
||||
)
|
||||
user = cursor.fetchone()
|
||||
conn.commit()
|
||||
return dict(user) if user else None
|
||||
|
||||
def delete_user(self, user_id: int) -> bool:
|
||||
@@ -651,12 +640,11 @@ class DatabaseClient:
|
||||
Returns:
|
||||
True if deleted
|
||||
"""
|
||||
self.connect()
|
||||
|
||||
with self.conn.cursor() as cursor:
|
||||
cursor.execute("DELETE FROM users WHERE id = %s", (user_id,))
|
||||
deleted = cursor.rowcount > 0
|
||||
self.conn.commit()
|
||||
with self.get_conn() as conn:
|
||||
with conn.cursor() as cursor:
|
||||
cursor.execute("DELETE FROM users WHERE id = %s", (user_id,))
|
||||
deleted = cursor.rowcount > 0
|
||||
conn.commit()
|
||||
return deleted
|
||||
|
||||
def get_user_count(self) -> int:
|
||||
@@ -665,8 +653,7 @@ class DatabaseClient:
|
||||
Returns:
|
||||
Number of users
|
||||
"""
|
||||
self.connect()
|
||||
|
||||
with self.conn.cursor() as cursor:
|
||||
cursor.execute("SELECT COUNT(*) FROM users")
|
||||
return cursor.fetchone()[0]
|
||||
with self.get_conn() as conn:
|
||||
with conn.cursor() as cursor:
|
||||
cursor.execute("SELECT COUNT(*) FROM users")
|
||||
return cursor.fetchone()[0]
|
||||
|
||||
Reference in New Issue
Block a user