Update readme.md

Author: chrisayyildiz

readme.md

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 # Dynamic Pricing Engine
-
-A full-stack, microservice-based Dynamic Pricing Engine for airline ticketing. It's designed to be highly scalable, observable, and maintainable, following modern FAANG-level engineering standards.
-
-The core unique selling point is the system's ability to balance short-term profit with long-term customer loyalty by integrating behavioural economics hooks with machine learning models.
-
----
-
-##  Architecture
-
-The system consists of several core microservices that work together:
-
--   **Core Engine**: A Python service responsible for the central pricing logic. It ingests user data, competitor prices, and business goals to compute the optimal price using a combination of ML models and heuristics.
--   **Dashboard API**: A FastAPI server that provides an interface for business users to tune the pricing engine's parameters (e.g., loyalty vs. profit weighting) and view performance metrics.
--   **Frontend Dashboard**: A React/TypeScript single-page application for interacting with the Dashboard API.
--   **Data Stores**: PostgreSQL for persistent settings and Redis for caching, sessions, and real-time data.
--   **Adapters**: Pluggable modules that allow for applying behavioural nudges (e.g., "Only 3 seats left at this price!") on the consuming frontend.
-
-### Data Flow
-
-```mermaid
-sequenceDiagram
-    participant U as User Browser
-    participant S as Search Service
-    participant C as Core Engine
-    participant A as Amadeus Client
-    participant API as Dashboard API
-    participant D as Dashboard UI
-
-    U->>S: POST /search {user criteria}
-    S->>A: get_token() & fetch_offers(params)
-    A-->>S: raw offers JSON
-    S->>C: engine.get_price(user, competitors)
-    C-->>S: optimized price
-    S-->>U: {ourPrice, comps}
-
-    D->>API: GET/PUT /settings
-    API->>C: Propagate settings update
-    C-->>API: Acknowledge
-    API-->>D: dashboard parameters
-```
-
----
-
-## Tech Stack
-
--   **Backend**: Python 3.11, FastAPI, Pydantic, HTTPX, ONNX Runtime
--   **Frontend**: React, TypeScript, TailwindCSS, shadcn/ui, Recharts
--   **Data Stores**: PostgreSQL, Redis
--   **Infrastructure**: Docker, Kubernetes (Helm), Terraform
--   **CI/CD**: GitHub Actions
--   **Monitoring**: Prometheus, Grafana
-
----
-
-## Local Development Setup
-
-1.  **Clone the repository:**
-    ```bash
-    git clone <your-repo-url>
-    cd dynamic_pricing_engine
-    ```
-
-2.  **Set up environment variables:**
-    -   Copy the example `.env` file:
-        ```bash
-        cp .env.example .env
-        ```
-    -   Populate the `.env` file with your credentials and settings.
-
-3.  **Run the services using Docker Compose:**
-    ```bash
-    docker-compose up --build
-    ```
-
-4.  **Access the services:**
-    -   **Dashboard API**: `http://localhost:8000/docs`
-    -   **Frontend UI**: `http://localhost:3000`
-    -   **PostgreSQL**: `localhost:5432`
-    -   **Redis**: `localhost:6379`
-    -   **Grafana**: `http://localhost:3001`
-
----