wehub-resource-sync
51 lines
2.1 KiB
Markdown
51 lines
2.1 KiB
Markdown
# [Sales Analytics Agent](https://github.com/mindsdb/mindsdb)
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This project demonstrates how to connect **MongoDB** and **HubSpot** in MindsDB, query across them with SQL, and use an **AI agent** over the same data. The full workflow — from creating datasources and running cross-database queries to creating and querying a sales analytics agent via SQL or the Python SDK — is covered in `QUERY.md` and `main.py`.
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---
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## Setup and installations
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**Get API Keys / credentials**:
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- **HubSpot** — access token for the HubSpot integration. Used when creating the `hubspot_data` database.
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- **OpenAI** — API key for the AI agent. Used in the `CREATE AGENT` step.
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- **MongoDB** — a demo connection string is used in `QUERY.md` for the MongoDB datasource; replace with your own if needed.
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Note: We have provided HubSpot and MongoDB datasources from our end, so you can skip from creating them. Just use the ones we have provided.
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**Install dependencies**:
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- **Docker** — required to run MindsDB. See [Get Docker](https://docs.docker.com/get-docker/).
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- **Python** (optional, for SDK example) — Python 3.8 or later and `mindsdb_sdk`:
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```bash
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pip install mindsdb_sdk
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```
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**Run the demo**:
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1. Start MindsDB (HTTP API on port 47334, MySQL on 47335):
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```bash
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docker run --name mindsdb_container \
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-e MINDSDB_APIS=http,mysql \
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-p 47334:47334 -p 47335:47335 \
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mindsdb/mindsdb:latest
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```
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2. Follow **`QUERY.md`** step-by-step. It covers:
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- Creating MongoDB and HubSpot databases in MindsDB
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- Displaying and querying data (single- and cross-database SQL)
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- Creating the `sales_agent` and querying it via SQL
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3. Optionally run **`python main.py`** to stream agent completions using the MindsDB Python SDK.
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---
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## Stay updated with our newsletter
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**Get a FREE Data Science eBook** with 150+ essential lessons in Data Science when you subscribe to our newsletter. Stay in the loop with the latest tutorials, insights, and exclusive resources. [Subscribe now →](https://join.dailydoseofds.com)
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---
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## Contribution
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Contributions are welcome! Please fork the repository and submit a pull request with your improvements.
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