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https://github.com/ryu1kn/sandbox--dialogflow
https://github.com/ryu1kn/sandbox--dialogflow
Last synced: 1 day ago
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- Host: GitHub
- URL: https://github.com/ryu1kn/sandbox--dialogflow
- Owner: ryu1kn
- Created: 2020-03-25T05:14:52.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-06-20T11:14:08.000Z (4 months ago)
- Last Synced: 2024-06-21T17:29:52.589Z (3 months ago)
- Language: Python
- Homepage:
- Size: 124 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
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README
# Dialogflow Sandbox
Setup Dialogflow chatbot that asks a webhook to provide response.
The webhook runs as a Cloud Function.
## Contents
This repository has following directory:
* **agent**: Spins up a new Dialogflow agent with intents already imported
* **app**: Webhook code that Dialogflow consults how it should respond to end users
* **infra**: Infra code (except Dialogflow agent, that is looked after by the contents under **agent** directory)
* **conversation-history**: Code to parse conversation history for later analysis
## Prerequisites
* terraform
* Environment variable `GCP_BILLING_ACCOUNT_ID` is set
* `gcloud` is authenticated: `gcloud auth login`
* `gcloud` is configured to the correct project: `gcloud config set project `
* `jq`
* `yarn`
* Node.js v10+
## Setup
1. Create a google sheet and create people data like follows:
| Name | Hobby |
| ---- | ------ |
| Mike | Skiing |
| Emma | Coding |
| John | Biking |
Take a memo of sheet id (in the URL) and range (probably `Sheet1!A2:B`),
and put them in the [config](./config.json) as `people_sheet_id` and `people_sheet_range`, respectively.
1. Deploy foundational GCP resources
```sh
make tf-foundation/apply
```
1. Update config with the encrypted webhook auth key (with key `encrypted_webhook_auth_key`)
```sh
$ make encrypt PLAINTEXT_AUTH_KEY='plaintext-auth-key'
```
1. Deploy webhook
```sh
make tf-system/apply
```
1. Deploy Dialogflow agent. You need a service account key that has Dialogflow Admin & KMS Decrypter role.
```sh
make agent/deploy
```
1. Now use Dialogflow, see your bot knows whose hobby is what!
For more information, start from [Makefile](./Makefile).
## TODOs
* Reduce manual setup steps
* Convert config to YAML to allow comments in config
* Give config file path to terraform to avoid [this upcoming change][2],
or introduce [Terragrunt][3].
[1]: https://github.com/terraform-providers/terraform-provider-google/issues/4276
[2]: https://github.com/hashicorp/terraform/issues/22004
[3]: https://terragrunt.gruntwork.io/