chore: many production changes
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@ -4,6 +4,7 @@
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![GFI-Bot Tests](https://github.com/osslab-pku/gfi-bot/actions/workflows/test-gfi-bot.yml/badge.svg)
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![GFI-Bot Coverage](https://img.shields.io/codecov/c/github/osslab-pku/gfi-bot?label=GFI-Bot%20Coverage)
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![License](https://img.shields.io/github/license/osslab-pku/gfi-bot?label=License)
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[![GFI-Bot]https://gfibot.io/api/repo/badge?owner=osslab-pku&name=gfi-bot)](https://gfibot.io/?owner=osslab-pku&name=gfi-bot)
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ML-powered 🤖 for finding and labeling good first issues in your GitHub project!
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@ -78,6 +79,10 @@ python -m gfibot.data.dataset --since=2008.01.01 --nprocess=4
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### Model Training
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Model training can be simply done by running the following script.
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```shell script
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```
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### Backend Deployment
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@ -0,0 +1,2 @@
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REACT_APP_ENV = 'development'
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REACT_APP_BASE_URL ?= undefined
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@ -0,0 +1,2 @@
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REACT_APP_ENV = 'production'
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REACT_APP_BASE_URL ?= 'https://gfibot.io/'
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@ -22,4 +22,4 @@ npm-debug.log*
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yarn-debug.log*
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yarn-error.log*
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.env.*
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# .env.*
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File diff suppressed because it is too large
Load Diff
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@ -6,7 +6,7 @@
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"@ant-design/icons": "^4.7.0",
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"@babel/core": "^7.16.0",
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"@pmmmwh/react-refresh-webpack-plugin": "^0.5.3",
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"@svgr/webpack": "^5.5.0",
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"@svgr/webpack": "^6.2.1",
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"@testing-library/jest-dom": "^5.16.1",
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"@testing-library/react": "^12.1.2",
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"@testing-library/user-event": "^13.5.0",
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@ -922,7 +922,7 @@ def get_repo_badge():
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).count()
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print(gfi_num)
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img_src = "https://img.shields.io/badge/{}-{}".format(
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"Using - GFIBot", "success"
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f"GFIBot - {gfi_num} recommended good first issues", "success"
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)
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svg = requests.get(img_src).content
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return app.response_class(svg, mimetype="image/svg+xml")
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@ -289,8 +289,6 @@ def get_dataset(issue: Union[OpenIssue, ResolvedIssue], before: datetime) -> Dat
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logger.error(f"{issue.owner}/{issue.name}#{issue.number}: Pull Request")
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return
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logger.info(f"{issue.owner}/{issue.name}#{issue.number} (before {before}) start")
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repo: Repo = Repo.objects(owner=issue.owner, name=issue.name).first()
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contribs, n_closed, n_open, close_times = _get_background_data(
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issue.owner, issue.name, before
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@ -355,7 +353,6 @@ def get_dataset(issue: Union[OpenIssue, ResolvedIssue], before: datetime) -> Dat
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data.event_users = event_users
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data.save()
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logger.info(f"{issue.owner}/{issue.name}#{issue.number} (before {before}) is done")
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return data
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@ -435,6 +432,14 @@ def get_dataset_for_repo(
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ResolvedIssue.objects(repo_query & Q(resolved_at__gte=since))
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)
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open_issues = list(OpenIssue.objects(repo_query & Q(updated_at__gte=since)))
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logger.info(
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"%s/%s: start building dataset (%d resolved, %d open)",
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owner,
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name,
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len(resolved_issues),
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len(open_issues),
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)
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get_dataset_with_issues(resolved_issues, open_issues)
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log.updated_open_issues = len(open_issues)
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@ -20,12 +20,13 @@ services:
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depends_on:
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- mongodb
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gfi-bot-frontend:
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build:
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context: ../
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dockerfile: ./production/gfibot.frontend.dockerfile
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ports:
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- "80:80"
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- "443:443"
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depends_on:
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- gfi-bot
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# TODO: fix strange dependency bugs before using frontend docker
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#gfi-bot-frontend:
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# build:
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# context: ../
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# dockerfile: ./production/gfibot.frontend.dockerfile
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# ports:
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# - "80:80"
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# - "443:443"
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# depends_on:
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# - gfi-bot
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@ -1,20 +1,15 @@
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FROM node:16
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ENV NODE_ENV=production
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WORKDIR /
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COPY ./ /gfi-bot
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WORKDIR /gfi-bot/frontend
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RUN npm ci --force
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RUN npm run build:prod
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FROM caddy:2.5.1
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EXPOSE 80
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EXPOSE 443
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# Install caddy
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RUN apt install -y debian-keyring debian-archive-keyring apt-transport-https
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RUN curl -1sLf 'https://dl.cloudsmith.io/public/caddy/stable/gpg.key' | gpg --dearmor -o /usr/share/keyrings/caddy-stable-archive-keyring.gpg
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RUN curl -1sLf 'https://dl.cloudsmith.io/public/caddy/stable/debian.deb.txt' | tee /etc/apt/sources.list.d/caddy-stable.list
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RUN apt update
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RUN apt install caddy
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WORKDIR /
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COPY ./ /gfi-bot/
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WORKDIR /gfi-bot/frontend
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RUN npm install --force
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RUN npm run build:prod
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WORKDIR /gfi-bot/
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RUN caddy run --config=/gfibot/production/Caddyfile
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WORKDIR /gfi-bot
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RUN caddy run --config=production/Caddyfile
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@ -4,7 +4,7 @@ import json
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import logging
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import argparse
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MONGO_URI: Final = "mongodb://mongodb:27017/"
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MONGO_URI: Final = "mongodb://mongodb:27020/"
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SECRET_FILE_NAME: Final = "production/production_secrets.json"
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db_client = pymongo.MongoClient(MONGO_URI)
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@ -104,7 +104,7 @@ projects = [ # This list of 100 projects comes from RecGFI paper
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github_graphql_schema_path = "gfibot/data/github_graphql_schema.graphql"
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[mongodb]
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url = "mongodb://localhost:27017"
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url = "mongodb://localhost:27020"
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db = "gfibot"
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[tool.poetry]
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