diff --git a/.github/read.txt b/.github/read.txt
new file mode 100644
index 0000000..3d2c0d7
--- /dev/null
+++ b/.github/read.txt
@@ -0,0 +1,2 @@
+The files in this directory contain configuration settings for continuous integration using GitHub Actions (https://docs.github.com/en/actions).
+Do not modify the given files, although you are welcome to add additional files as needed.
\ No newline at end of file
diff --git a/.github/workflows/Main.yaml b/.github/workflows/Main.yaml
new file mode 100644
index 0000000..469f64f
--- /dev/null
+++ b/.github/workflows/Main.yaml
@@ -0,0 +1,33 @@
+name: Webb App CI
+on: [push]
+jobs:
+ build:
+ runs-on: ubuntu-latest
+ timeout-minutes: 5
+ strategy:
+ matrix:
+ python-version: ["3.7", "3.9", "3.11"]
+ steps:
+ - uses: actions/checkout@v3
+ - name: Set up Python ${{ matrix.python-version }}
+ uses: actions/setup-python@v4
+ with:
+ python-version: ${{ matrix.python-version }}
+ - name: Install dependencies
+ run: |
+ python -m pip install --upgrade pip
+ pip install --user pipenv
+ pipenv --python ${{ matrix.python-version }}
+ pipenv install pytest
+ pipenv install pytest-cov --dev
+ pipenv install
+ - name: Turn on 'editable' mode
+ run: |
+ pipenv install -e .
+ - name: Test with pytest
+ run: |
+ cd $GITHUB_WORKSPACE/web_app
+ pipenv run python -m pytest
+ pipenv run python -m pytest --cov=. --cov-report xml --cov-fail-under=80
+
+
diff --git a/.github/workflows/event-logger.yml b/.github/workflows/event-logger.yml
new file mode 100644
index 0000000..cce34ad
--- /dev/null
+++ b/.github/workflows/event-logger.yml
@@ -0,0 +1,58 @@
+name: log github events
+on:
+ push:
+ branches: [main, master]
+ pull_request:
+ types: [opened, closed]
+ branches: [main, master]
+jobs:
+ log:
+ runs-on: ubuntu-latest
+ env:
+ COMMIT_LOG_API: ${{ secrets.COMMIT_LOG_API }}
+ COMMITS: ${{ toJSON(github.event.commits) }}
+ REPOSITORY_URL: ${{ github.repositoryUrl }}
+ EVENT_TYPE: ${{ github.event_name }}
+ EVENT_ACTION: ${{ github.event.action }}
+ EVENT_USERNAME: ${{ github.actor }}
+ EVENT_EMAIL: "${{ github.event.pull_request.sender.email }}"
+ PR_MERGED: ${{ github.event.pull_request.merged }}
+ PR_CREATED_AT: ${{ github.event.pull_request.created_at}}
+ PR_CLOSED_AT: ${{ github.event.pull_request.closed_at}}
+ PR_MERGE_USER: ${{ github.event.pull_request.merged_by.login}}
+ steps:
+ - uses: actions/checkout@v3
+ with:
+ fetch-depth: 0 # this is important so git fetches all history.. the actions/checkout by default fetches all history as one commit which throws off stats
+ - uses: actions/setup-python@v3
+ with:
+ python-version: "^3.9"
+ - name: Install dependencies
+ run: |
+ python -m pip install --upgrade pip
+ pip install --user pipenv
+ pipenv install pytz
+ pipenv install python-dateutil
+ pipenv install build
+ pipenv install requests
+ pipenv install gitcommitlogger
+ - name: Log pull request opened
+ if: github.event_name == 'pull_request' && github.event.action == 'opened'
+ run: |
+ pipenv run gitcommitlogger -r $(echo $REPOSITORY_URL) -t pull_request_opened -d $(echo $PR_CREATED_AT) -un $(echo $EVENT_USERNAME) -o commit_stats.csv -u $(echo $COMMIT_LOG_API) -v
+ - name: Log pull request closed and merged
+ if: github.event_name == 'pull_request' && github.event.action == 'closed' && github.event.pull_request.merged == true
+ run: |
+ echo $COMMITS > commits.json
+ cat commits.json # debugging
+ pipenv run gitcommitlogger -r $(echo $REPOSITORY_URL) -t pull_request_merged -d $(echo $PR_CLOSED_AT) -un $(echo $PR_MERGE_USER) -i commits.json -o commit_stats.csv -u $(echo $COMMIT_LOG_API) -v
+ - name: Log pull request closed without merge
+ if: github.event_name == 'pull_request' && github.event.action == 'closed' && github.event.pull_request.merged == false
+ run: |
+ pipenv run gitcommitlogger -r $(echo $REPOSITORY_URL) -t pull_request_closed -d $(echo $PR_CLOSED_AT) -un $(echo $EVENT_USERNAME) -o commit_stats.csv -u $(echo $COMMIT_LOG_API) -v
+ - name: Log push
+ if: github.event_name == 'push'
+ run: |
+ echo $COMMITS > commits.json
+ cat commits.json # debugging
+ pipenv run gitcommitlogger -r $(echo $REPOSITORY_URL) -t $(echo $EVENT_TYPE) -i commits.json -o commit_stats.csv -u $(echo $COMMIT_LOG_API) -v
diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml
new file mode 100644
index 0000000..501f619
--- /dev/null
+++ b/.github/workflows/lint.yml
@@ -0,0 +1,27 @@
+name: check lint and format
+on: [push, pull_request]
+
+jobs:
+ lint:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+ - name: Set up Python
+ uses: actions/setup-python@v4
+ with:
+ python-version: "3.10"
+ - name: Install dependencies
+ if: ${{ hashFiles('**/*.py') != '' }}
+ run: |
+ python -m pip install --upgrade pip
+ python -m pip install pipenv
+ pipenv sync --dev --python $(which python)
+ pipenv shell --fancy --python $(which python)
+ - name: Lint with pylint
+ if: ${{ hashFiles('**/*.py') != '' }}
+ run: |
+ pipenv run pylint **/*.py
+ - name: Format with black
+ if: ${{ hashFiles('**/*.py') != '' }}
+ run: |
+ pipenv run black --diff --check .
diff --git a/.github/workflows/ml_tests.yml b/.github/workflows/ml_tests.yml
new file mode 100644
index 0000000..be74078
--- /dev/null
+++ b/.github/workflows/ml_tests.yml
@@ -0,0 +1,31 @@
+name: ML CI
+on: [push]
+jobs:
+ build:
+ runs-on: ubuntu-latest
+ timeout-minutes: 5
+ strategy:
+ matrix:
+ python-version: ["3.7", "3.9", "3.11"]
+ steps:
+ - uses: actions/checkout@v3
+ - name: Set up Python ${{ matrix.python-version }}
+ uses: actions/setup-python@v4
+ with:
+ python-version: ${{ matrix.python-version }}
+ - name: Install dependencies
+ run: |
+ python -m pip install --upgrade pip
+ pip install --user pipenv
+ pipenv --python ${{ matrix.python-version }}
+ pipenv install pytest
+ pipenv install pytest-cov --dev
+ pipenv install
+ - name: Turn on 'editable' mode
+ run: |
+ pipenv install -e .
+ - name: Test with pytest
+ run: |
+ cd $GITHUB_WORKSPACE/machine_learning_client
+ pipenv run python -m pytest
+ pipenv run python -m pytest --cov=. --cov-report xml --cov-fail-under=80
diff --git a/.gitignore b/.gitignore
index 2f24a10..bb9248c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,9 @@
# mac junk
.DS_Store
+#DB folder
+/database/
+
# visual studio code junk
.vscode/
.vscode/settings.json
diff --git a/Pipfile b/Pipfile
new file mode 100644
index 0000000..3cd7d63
--- /dev/null
+++ b/Pipfile
@@ -0,0 +1,28 @@
+[[source]]
+url = "https://pypi.org/simple"
+verify_ssl = true
+name = "pypi"
+
+[packages]
+pylint = "*"
+black = "*"
+tomli = "*"
+typing-extensions = "*"
+dill = "*"
+numpy = "*"
+mediapipe = "0.9.0.1"
+flask-cors = "*"
+tensorflow = "*"
+flask = "*"
+certifi = "*"
+pymongo = "*"
+python-dotenv = "*"
+pytest = "*"
+pytest-mongo = "*"
+pip = "*"
+install = "*"
+
+[dev-packages]
+
+[requires]
+python_version = "3.10"
\ No newline at end of file
diff --git a/Pipfile.lock b/Pipfile.lock
new file mode 100644
index 0000000..6c0b179
--- /dev/null
+++ b/Pipfile.lock
@@ -0,0 +1,1534 @@
+{
+ "_meta": {
+ "hash": {
+ "sha256": "38fd85a11aa74a7a47f69b83555289b9e89336c8983ed5b27e93c7d2c8d80643"
+ },
+ "pipfile-spec": 6,
+ "requires": {
+ "python_version": "3.10"
+ },
+ "sources": [
+ {
+ "name": "pypi",
+ "url": "https://pypi.org/simple",
+ "verify_ssl": true
+ }
+ ]
+ },
+ "default": {
+ "absl-py": {
+ "hashes": [
+ "sha256:9a28abb62774ae4e8edbe2dd4c49ffcd45a6a848952a5eccc6a49f3f0fc1e2f3",
+ "sha256:d9690211c5fcfefcdd1a45470ac2b5c5acd45241c3af71eed96bc5441746c0d5"
+ ],
+ "markers": "python_version >= '3.7'",
+ "version": "==2.0.0"
+ },
+ "astroid": {
+ "hashes": [
+ "sha256:7d5895c9825e18079c5aeac0572bc2e4c83205c95d416e0b4fee8bc361d2d9ca",
+ "sha256:86b0bb7d7da0be1a7c4aedb7974e391b32d4ed89e33de6ed6902b4b15c97577e"
+ ],
+ "markers": "python_full_version >= '3.8.0'",
+ "version": "==3.0.1"
+ },
+ "astunparse": {
+ "hashes": [
+ "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872",
+ "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"
+ ],
+ "version": "==1.6.3"
+ },
+ "attrs": {
+ "hashes": [
+ "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04",
+ "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"
+ ],
+ "markers": "python_version >= '3.7'",
+ "version": "==23.1.0"
+ },
+ "black": {
+ "hashes": [
+ "sha256:250d7e60f323fcfc8ea6c800d5eba12f7967400eb6c2d21ae85ad31c204fb1f4",
+ "sha256:2a9acad1451632021ee0d146c8765782a0c3846e0e0ea46659d7c4f89d9b212b",
+ "sha256:412f56bab20ac85927f3a959230331de5614aecda1ede14b373083f62ec24e6f",
+ "sha256:421f3e44aa67138ab1b9bfbc22ee3780b22fa5b291e4db8ab7eee95200726b07",
+ "sha256:45aa1d4675964946e53ab81aeec7a37613c1cb71647b5394779e6efb79d6d187",
+ "sha256:4c44b7211a3a0570cc097e81135faa5f261264f4dfaa22bd5ee2875a4e773bd6",
+ "sha256:4c68855825ff432d197229846f971bc4d6666ce90492e5b02013bcaca4d9ab05",
+ "sha256:5133f5507007ba08d8b7b263c7aa0f931af5ba88a29beacc4b2dc23fcefe9c06",
+ "sha256:54caaa703227c6e0c87b76326d0862184729a69b73d3b7305b6288e1d830067e",
+ "sha256:58e5f4d08a205b11800332920e285bd25e1a75c54953e05502052738fe16b3b5",
+ "sha256:698c1e0d5c43354ec5d6f4d914d0d553a9ada56c85415700b81dc90125aac244",
+ "sha256:6c1cac07e64433f646a9a838cdc00c9768b3c362805afc3fce341af0e6a9ae9f",
+ "sha256:760415ccc20f9e8747084169110ef75d545f3b0932ee21368f63ac0fee86b221",
+ "sha256:7f622b6822f02bfaf2a5cd31fdb7cd86fcf33dab6ced5185c35f5db98260b055",
+ "sha256:cf57719e581cfd48c4efe28543fea3d139c6b6f1238b3f0102a9c73992cbb479",
+ "sha256:d136ef5b418c81660ad847efe0e55c58c8208b77a57a28a503a5f345ccf01394",
+ "sha256:dbea0bb8575c6b6303cc65017b46351dc5953eea5c0a59d7b7e3a2d2f433a911",
+ "sha256:fc7f6a44d52747e65a02558e1d807c82df1d66ffa80a601862040a43ec2e3142"
+ ],
+ "index": "pypi",
+ "markers": "python_version >= '3.8'",
+ "version": "==23.11.0"
+ },
+ "blinker": {
+ "hashes": [
+ "sha256:c3f865d4d54db7abc53758a01601cf343fe55b84c1de4e3fa910e420b438d5b9",
+ "sha256:e6820ff6fa4e4d1d8e2747c2283749c3f547e4fee112b98555cdcdae32996182"
+ ],
+ "markers": "python_version >= '3.8'",
+ "version": "==1.7.0"
+ },
+ "cachetools": {
+ "hashes": [
+ "sha256:086ee420196f7b2ab9ca2db2520aca326318b68fe5ba8bc4d49cca91add450f2",
+ "sha256:861f35a13a451f94e301ce2bec7cac63e881232ccce7ed67fab9b5df4d3beaa1"
+ ],
+ "markers": "python_version >= '3.7'",
+ "version": "==5.3.2"
+ },
+ "certifi": {
+ "hashes": [
+ "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1",
+ "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"
+ ],
+ "index": "pypi",
+ "markers": "python_version >= '3.6'",
+ "version": "==2023.11.17"
+ },
+ "cffi": {
+ "hashes": [
+ "sha256:0c9ef6ff37e974b73c25eecc13952c55bceed9112be2d9d938ded8e856138bcc",
+ "sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a",
+ "sha256:1b8ebc27c014c59692bb2664c7d13ce7a6e9a629be20e54e7271fa696ff2b417",
+ "sha256:2c56b361916f390cd758a57f2e16233eb4f64bcbeee88a4881ea90fca14dc6ab",
+ "sha256:2d92b25dbf6cae33f65005baf472d2c245c050b1ce709cc4588cdcdd5495b520",
+ "sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36",
+ "sha256:32c68ef735dbe5857c810328cb2481e24722a59a2003018885514d4c09af9743",
+ "sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8",
+ "sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed",
+ "sha256:5b50bf3f55561dac5438f8e70bfcdfd74543fd60df5fa5f62d94e5867deca684",
+ "sha256:5bf44d66cdf9e893637896c7faa22298baebcd18d1ddb6d2626a6e39793a1d56",
+ "sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324",
+ "sha256:673739cb539f8cdaa07d92d02efa93c9ccf87e345b9a0b556e3ecc666718468d",
+ "sha256:68678abf380b42ce21a5f2abde8efee05c114c2fdb2e9eef2efdb0257fba1235",
+ "sha256:68e7c44931cc171c54ccb702482e9fc723192e88d25a0e133edd7aff8fcd1f6e",
+ "sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088",
+ "sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000",
+ "sha256:7651c50c8c5ef7bdb41108b7b8c5a83013bfaa8a935590c5d74627c047a583c7",
+ "sha256:7b78010e7b97fef4bee1e896df8a4bbb6712b7f05b7ef630f9d1da00f6444d2e",
+ "sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673",
+ "sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c",
+ "sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe",
+ "sha256:88e2b3c14bdb32e440be531ade29d3c50a1a59cd4e51b1dd8b0865c54ea5d2e2",
+ "sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098",
+ "sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8",
+ "sha256:9f90389693731ff1f659e55c7d1640e2ec43ff725cc61b04b2f9c6d8d017df6a",
+ "sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0",
+ "sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b",
+ "sha256:a72e8961a86d19bdb45851d8f1f08b041ea37d2bd8d4fd19903bc3083d80c896",
+ "sha256:abd808f9c129ba2beda4cfc53bde801e5bcf9d6e0f22f095e45327c038bfe68e",
+ "sha256:ac0f5edd2360eea2f1daa9e26a41db02dd4b0451b48f7c318e217ee092a213e9",
+ "sha256:b29ebffcf550f9da55bec9e02ad430c992a87e5f512cd63388abb76f1036d8d2",
+ "sha256:b2ca4e77f9f47c55c194982e10f058db063937845bb2b7a86c84a6cfe0aefa8b",
+ "sha256:b7be2d771cdba2942e13215c4e340bfd76398e9227ad10402a8767ab1865d2e6",
+ "sha256:b84834d0cf97e7d27dd5b7f3aca7b6e9263c56308ab9dc8aae9784abb774d404",
+ "sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f",
+ "sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0",
+ "sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4",
+ "sha256:c6a164aa47843fb1b01e941d385aab7215563bb8816d80ff3a363a9f8448a8dc",
+ "sha256:d8a9d3ebe49f084ad71f9269834ceccbf398253c9fac910c4fd7053ff1386936",
+ "sha256:db8e577c19c0fda0beb7e0d4e09e0ba74b1e4c092e0e40bfa12fe05b6f6d75ba",
+ "sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872",
+ "sha256:e09f3ff613345df5e8c3667da1d918f9149bd623cd9070c983c013792a9a62eb",
+ "sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614",
+ "sha256:e6024675e67af929088fda399b2094574609396b1decb609c55fa58b028a32a1",
+ "sha256:e70f54f1796669ef691ca07d046cd81a29cb4deb1e5f942003f401c0c4a2695d",
+ "sha256:e715596e683d2ce000574bae5d07bd522c781a822866c20495e52520564f0969",
+ "sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b",
+ "sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4",
+ "sha256:ee07e47c12890ef248766a6e55bd38ebfb2bb8edd4142d56db91b21ea68b7627",
+ "sha256:fa3a0128b152627161ce47201262d3140edb5a5c3da88d73a1b790a959126956",
+ "sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357"
+ ],
+ "markers": "python_version >= '3.8'",
+ "version": "==1.16.0"
+ },
+ "charset-normalizer": {
+ "hashes": [
+ "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027",
+ "sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087",
+ "sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786",
+ "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8",
+ "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09",
+ "sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185",
+ "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574",
+ "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e",
+ "sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519",
+ "sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898",
+ "sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269",
+ "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3",
+ "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f",
+ "sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6",
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+ ],
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+ "version": "==1.14.1"
+ }
+ },
+ "develop": {}
+}
diff --git a/README.md b/README.md
index 2cb953d..7e31bc5 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,67 @@
-# Containerized App Exercise
+[](https://github.com/software-students-fall2023/4-containerized-app-exercise-samuel/actions/workflows/ml_tests.yml)
-Build a containerized app that uses machine learning. See [instructions](./instructions.md) for details.
+[](https://github.com/software-students-fall2023/4-containerized-app-exercise-samuel/actions/workflows/Main.yaml)
+
+[](https://github.com/software-students-fall2023/4-containerized-app-exercise-samuel/actions/workflows/lint.yml)
+
+# Real-Time Hand Gesture Recognition Webapp
+
+## Team Members
+
+- [Ana Sofia](https://github.com/anaspacheco)
+- [Samuel Shally ](https://github.com/SamuelShally)
+- [Lemon](https://github.com/Lefie)
+
+## Project Description
+
+Our project is a Real-Time Hand Gesture Recognition Webapp. The web application is designed to recognize hand gestures in real-time using computer vision and machine learning techniques. Users can interact with the application by performing various hand gestures, and at the end, you will see what image corresponds with the gesture you did the most. Beware that, since it takes 1 frame per second, it may seem a bit slow.
+
+## Setup Instructions
+
+1. **Create `.env` file with the following fields:**
+
+ ```
+ MONGO_URI="mongodb://localhost:27017/"
+ MONGO_DBNAME={example-name}
+ FLASK_APP=app.py
+ FLASK_ENV=development
+ ```
+
+2. **Cd to the repository:**
+
+ ```bash
+ cd path/to/your/localrepository
+ ```
+
+3. **Install Docker Desktop:**
+
+ [Docker Desktop Installation Guide](https://www.docker.com/products/docker-desktop)
+
+4. **Run the following command to build and start the application using Docker Compose:**
+
+ ```bash
+ docker-compose up --build
+ ```
+5. **Adjust mediapipe package in requirements.txt to match your python version**
+
+ ```bash
+ latest: mediapipe==0.10.8
+ ```
+
+5. **Access the web-app:**
+
+ Open your web browser and go to [http://localhost:5002](http://localhost:5002).
+
+### Optional: Pull from the latest hosted images
+```
+docker pull samuelshally/4-containerized-app-exercise-samuel-web_app:latest
+
+docker pull samuelshally/4-containerized-app-exercise-samuel-machine_learning_client:latest
+
+docker pull samuelshally/mongo:latest
+```
+
+
+
+
+
diff --git a/__init__.py b/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/docker-compose.yml b/docker-compose.yml
new file mode 100644
index 0000000..4eabda5
--- /dev/null
+++ b/docker-compose.yml
@@ -0,0 +1,31 @@
+version: '3'
+services:
+ web_app:
+ build:
+ context: .
+ dockerfile: ./web_app/Dockerfile
+ ports:
+ - "5002:5002"
+ depends_on:
+ - mongodb
+ - machine_learning_client
+ environment:
+ FLASK_APP: web_app/app.py
+
+ machine_learning_client:
+ build:
+ context: .
+ dockerfile: ./machine_learning_client/Dockerfile
+ ports:
+ - "9090:9090"
+ depends_on:
+ - mongodb
+ environment:
+ FLASK_APP: machine_learning_client/app.py
+
+ mongodb:
+ image: mongo
+ ports:
+ - "27017:27017"
+ volumes:
+ - ./database:/data/db
diff --git a/instructions.md b/instructions.md
index 8575a38..66c8bb3 100644
--- a/instructions.md
+++ b/instructions.md
@@ -38,10 +38,13 @@ docker run --name mongodb -d -p 27017:27017 mongo
The machine learning client will be written in Python and will connect to the database using [pymongo](https://pymongo.readthedocs.io/en/stable/).
-- The client device must collect data using one or more available hardware sensors, such as camera, microphone, gps, or any additional sensors the development team has access to.
-- The client device must do some form of high-level analysis of the data, such as image recognition, speech recognition, classification, aggregation, etc, either using custom code, third-party APIs or code libraries designed for this purpose. In other words, the client device must not only collect raw data, but also must compute the results of some additional analysis of that data.
+- This part of the system is not visible to end-users, so does not involve a user interface... use the web app part for that.
+- The machine learning may be invoked by the interface of the web app part, or may invoke itself automatically based on external events, such as on a predetermined time-based schedule, or both.
+- The client must collect data gathered from one or more available hardware sensors, such as camera, microphone, gps, or any additional sensors the development team has access to. This raw data can be gathered directly by the machine learning client, or passed to it from the web app part.
+- The client must do some form of high-level analysis of the data, such as image recognition, speech recognition, classification, aggregation, etc, either using custom code, third-party APIs or code libraries designed for this purpose. In other words, the client must not only collect raw data, but also must compute the results of some additional analysis of that data.
- Metadata about the collected data, including the results of any analysis performed, must be saved to the database. How frequently the client communicates with the database must make sense for your application.
-- Unit tests using [pytest](https://docs.pytest.org/en/7.2.x/) must be written for the client device code that provide at least 50% code coverage of the client code.
+- The code must be formatted in accordance with [PEP 8](https://www.python.org/dev/peps/pep-0008/) using the [black](https://black.readthedocs.io/en/stable/) formatter and [pylint](https://pylint.org/) linter to ensure correctness.
+- Unit tests using [pytest](https://docs.pytest.org/en/7.2.x/) must be written for the client device code that provide at least 80% code coverage of the client code, as reported by the [coverage](https://coverage.readthedocs.io/) tool.
- The client must have a Continuous Integration (CI) workflow using [GitHub Actions](https://github.com/features/actions) that automatically builds and tests the updated client subsystem every time a pull request is approved and code is merged into the `main` branch.
- Like the other parts, the machine learning client must run within its own Docker container.
- Put all code for this subsystem within the `machine-learning-client` subdirectory of this repository.
@@ -53,6 +56,7 @@ The web app allows visitors on the web to view the activity of the machine learn
The web app must be built using the Python [flask](https://palletsprojects.com/p/flask/) framework and will connect to the database via `pymongo`, with any additional modules or libraries that you would like.
- The server must store the data received in a database and provide a web dashboard for users to visualize the data.
+- The code must also be formatted in accordance with `PEP 8` using the `black` formatter and `pylint` linter to ensure correctness.
- Unit tests using `pytest`and [pytest-flask](https://pytest-flask.readthedocs.io/en/latest/) must be written for the web app code that provide at least 80% code coverage of the server code.
- The web app must have a Continuous Integration / **Continuous Deployment** (CI/**CD**) workflow using [GitHub Actions](https://github.com/features/actions) that automatically builds, tests, and deploys the updated server subsystem every time a pull request is approved and code is merged into the `main` branch.
- Like the other parts, the web app must run within its own Docker container.
@@ -69,7 +73,7 @@ ALl teams must use task boards to provide insight into the status of all work.
- The task boards must have at least 4 columns: "To Do", "In Progress", "Awaiting Review", "Done".
- Teams must represent all work to be done as discrete tasks on the task board, where each task represents about one day's work for one team member.
- Each task must be assigned to the developer(s) responsible for implementing it.
-- Each task must be positioned on the board in the appropriate column representing its status.
+- Each task must be positioned on the board in the appropriate column representing its current status at all times.
### Standup meetings
diff --git a/machine_learning_client/Dockerfile b/machine_learning_client/Dockerfile
new file mode 100644
index 0000000..bf0f2c7
--- /dev/null
+++ b/machine_learning_client/Dockerfile
@@ -0,0 +1,12 @@
+FROM python:3.8-slim
+
+WORKDIR /machine_learning_client
+
+COPY machine_learning_client/ ./
+
+RUN pip install --upgrade pip \
+ && pip install -r requirements.txt && apt-get update && apt-get install ffmpeg libsm6 libxext6 -y
+
+EXPOSE 9090
+
+CMD ["python3", "-m", "flask", "run", "--host=0.0.0.0", "--port=9090"]
\ No newline at end of file
diff --git a/machine_learning_client/__init__.py b/machine_learning_client/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/machine_learning_client/app.py b/machine_learning_client/app.py
new file mode 100644
index 0000000..08c53bf
--- /dev/null
+++ b/machine_learning_client/app.py
@@ -0,0 +1,218 @@
+"""
+Gesture Recognition System
+"""
+# pylint: disable=no-member
+# pylint: disable=R1714
+# pylint: disable=R0916
+# pylint: disable=W0718
+# pylint: disable=E0401
+# pylint: disable=W0621
+# pylint: disable=too-many-arguments
+# pylint: disable=too-many-locals
+# pylint: disable=R1710
+# pylint: disable=C0303
+# pylint: disable=C0103
+
+import base64
+import os
+import cv2
+import pymongo
+import mediapipe as mp
+import tensorflow as tf
+import numpy as np
+from flask_cors import CORS
+from flask import Flask, request, jsonify
+
+app = Flask(__name__)
+CORS(app)
+
+if os.getenv("FLASK_ENV", "development") == "development":
+ app.debug = True
+
+
+@app.route("/")
+def hello():
+ """
+ Index page
+ """
+ return "hello"
+
+
+def initialize_database():
+ """
+ Initialize a db
+ """
+ client = pymongo.MongoClient("mongodb://mongodb:27017")
+ print("CLIENT:", client)
+ db = client["database"]
+ if db is None:
+ print("db not connected")
+ return db
+
+
+def load_class_name():
+ """
+ Initializes the gesture names and returns the list of gesture names
+ """
+ with open("./mp_hand_gesture/gesture.names", "r", encoding="utf-8") as file:
+ class_names = file.read().split("\n")
+ return class_names
+
+
+def initialize_hand_tracking():
+ """
+ Initializes the hand tracking model and returns the model and the drawing utility
+ """
+ mp_hands = mp.solutions.hands
+ hands = mp_hands.Hands(max_num_hands=1, min_detection_confidence=0.98)
+ mp_draw = mp.solutions.drawing_utils
+ return mp_hands, hands, mp_draw
+
+
+def load_gesture_model(model_path="./mp_hand_gesture"):
+ """
+ Loads the gesture model from the given path
+ """
+ return tf.keras.models.load_model(model_path)
+
+
+def load_class_names(file_path="./mp_hand_gesture/gesture.names"):
+ """
+ Loads the class names from the given file path
+ """
+ with open(file_path, "r", encoding="utf-8") as file:
+ return file.read().split("\n")
+
+
+def process_frame(frame, hands, mp_hands, mp_draw, model, class_names, db_connection):
+ """
+ Processes the frame and returns the frame with the gesture label
+ """
+ x, y, _ = frame.shape
+ frame = cv2.flip(frame, 1)
+ frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+ result = hands.process(frame_rgb)
+
+ class_name = ""
+
+ if result.multi_hand_landmarks:
+ landmarks = []
+ for handslms in result.multi_hand_landmarks:
+ for lm in handslms.landmark:
+ lmx = int(lm.x * x)
+ lmy = int(lm.y * y)
+ landmarks.append([lmx, lmy])
+ mp_draw.draw_landmarks(frame, handslms, mp_hands.HAND_CONNECTIONS)
+
+ prediction = model.predict([landmarks])
+ class_id = np.argmax(prediction)
+ class_name = class_names[class_id]
+ print(class_name)
+
+ cv2.putText(
+ frame,
+ class_name,
+ (10, 50),
+ cv2.FONT_HERSHEY_SIMPLEX,
+ 1,
+ (128, 0, 128),
+ 2,
+ cv2.LINE_AA,
+ )
+
+ if class_name and class_name in (
+ "peace",
+ "fist",
+ "stop",
+ "rock",
+ "thumbs up",
+ "thumbs down",
+ ):
+ if db_connection is not None:
+ db_connection.gestures.insert_one({"gesture": class_name})
+ print("Inserted gesture into the database")
+
+ return frame
+
+
+# Declare global variables
+MP_HANDS = None
+HANDS = None
+MP_DRAW = None
+MODEL = None
+CLASS_NAMES = None
+DB_CONNECTION = None
+
+DB_CONNECTION = initialize_database()
+MP_HANDS, HANDS, MP_DRAW = initialize_hand_tracking()
+MODEL = load_gesture_model()
+CLASS_NAMES = load_class_names()
+
+
+def decode_image_from_json(json_data):
+ """
+ Decode image
+ """
+ try:
+ data = json_data
+ if not data or "image" not in data:
+ return "No image data", 400
+ image_data = data["image"]
+ encoded_data = image_data.split(",")[1]
+ nparr = np.frombuffer(base64.b64decode(encoded_data), np.uint8)
+ img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+ return img
+ except Exception as e:
+ print(f"Error decoding image: {e}")
+ return None
+
+
+def generate_frames_from_json(
+ frame, hands, mp_hands, mp_draw, model, class_names, db_connection
+):
+ """
+ Generate frames
+ """
+ processed_frame = process_frame(
+ frame, hands, mp_hands, mp_draw, model, class_names, db_connection
+ )
+ if processed_frame is None:
+ return None
+ _, buffer = cv2.imencode(".jpg", processed_frame)
+ frame_bytes = buffer.tobytes()
+ return frame_bytes
+
+
+@app.route("/test", methods=["POST"])
+def test():
+ """
+ Testing route for gesture recognition
+ """
+ try:
+ json_data = request.get_json()
+ if json_data and "image" in json_data:
+ frame = decode_image_from_json(json_data)
+ if frame is None:
+ return jsonify({"error": "Error decoding image"}), 500
+ frame_bytes = generate_frames_from_json(
+ frame, HANDS, MP_HANDS, MP_DRAW, MODEL, CLASS_NAMES, DB_CONNECTION
+ )
+ if frame_bytes is None:
+ return jsonify({"error": "Error processing image"}), 500
+ processed_image_base64 = base64.b64encode(frame_bytes).decode("utf-8")
+ return (
+ jsonify(
+ {
+ "success": True,
+ "message": "Successfully processed image",
+ "processed_image": processed_image_base64,
+ }
+ ),
+ 200,
+ )
+ except Exception as e:
+ return jsonify({"error": str(e)}), 500
+
+
+if __name__ == "__main__":
+ app.run(host="0.0.0.0", port=9090, debug=True)
diff --git a/machine_learning_client/mp_hand_gesture/gesture.names b/machine_learning_client/mp_hand_gesture/gesture.names
new file mode 100644
index 0000000..60996b9
--- /dev/null
+++ b/machine_learning_client/mp_hand_gesture/gesture.names
@@ -0,0 +1,10 @@
+okay
+peace
+thumbs up
+thumbs down
+call me
+stop
+rock
+live long
+fist
+smile
\ No newline at end of file
diff --git a/machine_learning_client/mp_hand_gesture/keras_metadata.pb b/machine_learning_client/mp_hand_gesture/keras_metadata.pb
new file mode 100644
index 0000000..9c8d23f
--- /dev/null
+++ b/machine_learning_client/mp_hand_gesture/keras_metadata.pb
@@ -0,0 +1,11 @@
+
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\ No newline at end of file
diff --git a/machine_learning_client/mp_hand_gesture/saved_model.pb b/machine_learning_client/mp_hand_gesture/saved_model.pb
new file mode 100644
index 0000000..f9ed619
Binary files /dev/null and b/machine_learning_client/mp_hand_gesture/saved_model.pb differ
diff --git a/machine_learning_client/mp_hand_gesture/variables/variables.data-00000-of-00001 b/machine_learning_client/mp_hand_gesture/variables/variables.data-00000-of-00001
new file mode 100644
index 0000000..bcc079c
Binary files /dev/null and b/machine_learning_client/mp_hand_gesture/variables/variables.data-00000-of-00001 differ
diff --git a/machine_learning_client/mp_hand_gesture/variables/variables.index b/machine_learning_client/mp_hand_gesture/variables/variables.index
new file mode 100644
index 0000000..3acda4f
Binary files /dev/null and b/machine_learning_client/mp_hand_gesture/variables/variables.index differ
diff --git a/machine-learning-client/readme.txt b/machine_learning_client/readme.txt
similarity index 100%
rename from machine-learning-client/readme.txt
rename to machine_learning_client/readme.txt
diff --git a/machine_learning_client/requirements.txt b/machine_learning_client/requirements.txt
new file mode 100644
index 0000000..f1a1bc6
--- /dev/null
+++ b/machine_learning_client/requirements.txt
@@ -0,0 +1,9 @@
+opencv-python==4.8.1.78
+numpy==1.24.2
+mediapipe==0.9.0.1
+tensorflow==2.13.1
+certifi==2021.5.30
+pymongo==4.6.1
+Flask==3.0.0
+Flask-Cors==4.0.0
+Flask-PyMongo==2.3.0
\ No newline at end of file
diff --git a/machine_learning_client/tests/__init__.py b/machine_learning_client/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/machine_learning_client/tests/test_ml.py b/machine_learning_client/tests/test_ml.py
new file mode 100644
index 0000000..4af8305
--- /dev/null
+++ b/machine_learning_client/tests/test_ml.py
@@ -0,0 +1,126 @@
+"""
+Testing machine learning
+"""
+# pylint: disable=C0411
+# pylint: disable=C0413
+# pylint: disable=C0305
+# pylint: disable=W0621
+# pylint: disable=C0116
+# pylint: disable=E0401
+# pylint: disable=C0303
+
+
+import sys
+import numpy as np
+import pytest
+from machine_learning_client import app
+
+sys.path.append("..")
+from unittest.mock import patch, Mock
+
+
+@pytest.fixture
+def mock_hands():
+ return Mock()
+
+
+@pytest.fixture
+def mock_mp_hands():
+ return Mock()
+
+
+@pytest.fixture
+def mock_mp_draw():
+ return Mock()
+
+
+@pytest.fixture
+def mock_model():
+ return Mock()
+
+
+@pytest.fixture
+def mock_db_connection():
+ return Mock()
+
+
+@pytest.fixture
+def mock_load_model(monkeypatch):
+ mock = Mock()
+ monkeypatch.setattr("tensorflow.keras.models.load_model", mock)
+ return mock
+
+
+def test_load_class_name():
+ """
+ Test the returned class names from the load_class_name function
+ """
+ with patch("builtins.open", create=True) as mock_open:
+ mock_open.return_value.__enter__.return_value.read.return_value = (
+ "gesture1\ngesture2"
+ )
+ class_names = app.load_class_name()
+ assert class_names == ["gesture1", "gesture2"]
+
+
+def test_initialize_hand_tracking():
+ """
+ Test the returned hand tracking model and drawing
+ utility from the initialize_hand_tracking function
+ """
+ mp_hands, hands, mp_draw = app.initialize_hand_tracking()
+ assert mp_hands is not None
+ assert hands is not None
+ assert mp_draw is not None
+
+
+def test_load_gesture_model_success(mock_load_model):
+ """
+ Test the returned gesture model from the load_gesture_model function
+ """
+ expected_model = Mock()
+ mock_load_model.return_value = expected_model
+ result = app.load_gesture_model("mock_path")
+ assert result == expected_model
+ mock_load_model.assert_called_once_with("mock_path")
+
+
+def test_process_frame_with_landmarks(
+ mock_hands, mock_mp_hands, mock_mp_draw, mock_model, mock_db_connection
+):
+ """
+ Test the returned frame from the process_frame function
+ """
+ frame = np.zeros((100, 100, 3), dtype=np.uint8)
+ class_names = ["peace", "fist", "stop", "rock", "thumbs up", "thumbs down"]
+ mock_result = Mock()
+ mock_result.multi_hand_landmarks = [Mock()]
+ mock_result.multi_hand_landmarks[0].landmark = [
+ Mock(x=0.1, y=0.2),
+ Mock(x=0.3, y=0.4),
+ ]
+ mock_hands.process.return_value = mock_result
+ mock_model.predict.return_value = np.array([[0.1, 0.2, 0.3, 0.4, 0.5, 0.6]])
+ result_frame = app.process_frame(
+ frame,
+ mock_hands,
+ mock_mp_hands,
+ mock_mp_draw,
+ mock_model,
+ class_names,
+ mock_db_connection,
+ )
+ assert mock_hands.process.called_once_with(np.flip(frame, 1))
+ assert mock_mp_draw.draw_landmarks.called_once_with(
+ frame, mock_result.multi_hand_landmarks[0], mock_mp_hands.HAND_CONNECTIONS
+ )
+ assert mock_model.predict.called_once_with([[[10, 20], [30, 40]]])
+ assert result_frame is not None
+
+
+def test_decode_image_from_json_no_data():
+ """
+ Test the returned error message and status code from the function
+ """
+ result = app.decode_image_from_json(None)
+ assert result == ("No image data", 400)
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..f4dbccb
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,64 @@
+absl-py==2.0.0
+astunparse==1.6.3
+attrs==23.1.0
+blinker==1.7.0
+cachetools==5.3.2
+certifi==2023.11.17
+cffi==1.16.0
+charset-normalizer==3.3.2
+click==8.1.7
+contourpy== 1.1.1
+cv==1.0.0
+cycler==0.12.1
+Flask==3.0.0
+flatbuffers==23.5.26
+fonttools==4.45.1
+gast==0.2.1
+google-auth==2.23.4
+google-auth-oauthlib==1.0.0
+google-pasta==0.2.0
+grpcio==1.59.3
+h5py==3.10.0
+idna==3.6
+itsdangerous==2.1.2
+Jinja2==3.1.2
+keras==2.13.1
+kiwisolver==1.4.5
+libclang==16.0.6
+Markdown==3.5.1
+MarkupSafe==2.1.3
+matplotlib==3.7.4
+mediapipe==0.9.0.1
+ml-dtypes==0.2.0
+numpy>=1.22
+oauthlib==3.2.2
+Flask-Cors==4.0.0
+opencv-contrib-python==4.8.1.78
+opencv-python==4.8.1.78
+opt-einsum==3.3.0
+packaging==23.2
+Pillow==10.1.0
+protobuf==3.20.3
+pyasn1==0.5.1
+pyasn1-modules==0.3.0
+pycparser==2.21
+pyparsing==3.1.1
+python-dateutil==2.8.2
+requests==2.31.0
+requests-oauthlib==1.3.1
+rsa==4.9
+six==1.16.0
+sounddevice==0.4.6
+tensorboard==2.13
+tensorboard-data-server==0.7.2
+tensorflow== 2.13.1
+tensorflow-estimator==2.13.0
+tensorflow-io-gcs-filesystem==0.34.0
+# tensorflow-macos==2.15.0
+termcolor==2.3.0
+tomli==2.0.1
+typing_extensions==3.6.6
+urllib3==2.1.0
+Werkzeug==3.0.1
+wrapt==1.14.1
+pymongo==4.6.0
\ No newline at end of file
diff --git a/web_app/Dockerfile b/web_app/Dockerfile
new file mode 100644
index 0000000..da6d103
--- /dev/null
+++ b/web_app/Dockerfile
@@ -0,0 +1,13 @@
+FROM python:3.8-slim-buster
+
+WORKDIR /app
+
+COPY requirements.txt ./
+RUN pip install -r requirements.txt
+
+ADD . .
+
+EXPOSE 5002
+
+CMD ["python3", "-m", "flask", "run", "--host=0.0.0.0", "--port=5002"]
+
diff --git a/web_app/__init__.py b/web_app/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/web_app/app.py b/web_app/app.py
new file mode 100644
index 0000000..1925209
--- /dev/null
+++ b/web_app/app.py
@@ -0,0 +1,215 @@
+"""
+Front end web page routes
+"""
+
+# pylint: disable=R0911
+# pylint: disable=W0718
+# pylint: disable=W0621
+# pylint: disable=W1510
+# pylint: disable=E0401
+# pylint: disable=R0801
+# pylint: disable=C0103
+# pylint: disable=W1203
+
+import os
+import sys
+import requests
+from pymongo.mongo_client import MongoClient
+from flask import Flask, render_template, redirect, url_for
+from flask_cors import CORS
+
+sys.path.append("../")
+
+
+GESTURES_ARR = ["thumbs up", "thumbs down", "fist", "stop", "peace", "rock"]
+
+app = Flask(__name__)
+CORS(app)
+
+app.secret_key = os.urandom(24)
+
+
+if os.getenv("FLASK_ENV", "development") == "development":
+ app.debug = True
+
+
+def initialize_database():
+ """
+ Initializes the database connection and returns the db connection object
+ """
+ try:
+ local_uri = "mongodb://mongodb:27017"
+ client = MongoClient(local_uri, serverSelectionTimeoutMS=5000)
+ client.admin.command("ping")
+ db_connection = client["database"]
+ print("Connected to the DB")
+ return db_connection
+ except Exception as e:
+ print(f"Error connecting to local MongoDB: {e}")
+ return None
+
+
+def gesture_display():
+ """
+ aggregate the frequency of each gesture
+ find the gesture with the most frequency and return
+ """
+ db = initialize_database()
+
+ if db is not None:
+ thumb_up = db.gestures.count_documents({"gesture": "thumbs up"})
+ thumb_down = db.gestures.count_documents({"gesture": "thumbs down"})
+ fist = db.gestures.count_documents({"gesture": "fist"})
+ open_palm = db.gestures.count_documents({"gesture": "stop"})
+ peace = db.gestures.count_documents({"gesture": "peace"})
+ love = db.gestures.count_documents({"gesture": "rock"})
+
+ arr = [thumb_up, thumb_down, fist, open_palm, peace, love]
+
+ max_obj = {"value": arr[0], "id": 0}
+ for i in range(1, len(arr)):
+ if arr[i] > max_obj["value"]:
+ max_obj = {"value": arr[i], "id": i}
+
+ print(
+ "this is the thumb up gesture :"
+ + str(thumb_up)
+ + " thumb down: "
+ + str(thumb_down)
+ + "fist "
+ + str(fist)
+ + "stop "
+ + str(open_palm)
+ + "peace: "
+ + str(peace)
+ + "rock: "
+ + str(love)
+ )
+
+ return GESTURES_ARR[max_obj["id"]]
+ return redirect("/")
+
+
+@app.route("/delete")
+def delete():
+ """
+ delete gesture database
+ """
+ db = initialize_database()
+
+ if db is not None and db.gestures is not None:
+ db.gestures.delete_many({})
+
+ return redirect(url_for("hello"))
+
+
+@app.route("/test")
+def test():
+ """
+ first get the gesture with the most frequency,
+ then redirect user to the corresponding route
+ """
+ gest = gesture_display()
+ print("Name: ", gest)
+ if gest == "stop":
+ return redirect(url_for("stop"))
+ if gest == "thumbs up":
+ return redirect(url_for("thumbs_up"))
+ if gest == "thumbs down":
+ return redirect(url_for("thumbs_down"))
+ if gest == "fist":
+ return redirect(url_for("rock"))
+ if gest == "peace":
+ return redirect(url_for("victory"))
+ if gest == "rock":
+ return redirect(url_for("victory"))
+
+ return redirect(url_for("hello"))
+
+
+@app.route("/camera")
+def camera():
+ """
+ Activate camera route
+ """
+ try:
+ return render_template("video.html")
+ except requests.RequestException as e:
+ app.logger.error(f"An error occurred: {str(e)}")
+ return f"An error occurred: {str(e)}"
+
+
+@app.route("/")
+def hello():
+ """
+ the main page of the web app
+ """
+ return render_template("welcome.html")
+
+
+@app.route("/victory", methods=["GET"])
+def victory():
+ """
+ Pull the picture of churchill on victory gesture
+ """
+ return render_template("victory.html")
+
+
+@app.route("/thumbsUp", methods=["GET"])
+def thumbs_up():
+ """
+ Pulls the picture of jesus on thumbs up gesture
+ """
+ return render_template("thumbsUp.html")
+
+
+@app.route("/thumbsDown", methods=["GET"])
+def thumbs_down():
+ """
+ Pulls a picture of the devil on thumbs down gesture
+ """
+ return render_template("thumbsDown.html")
+
+
+@app.route("/stop", methods=["GET"])
+def stop():
+ """
+ Pull a picture of a snail on open palm gesture
+ """
+ return render_template("stop.html")
+
+
+@app.route("/rock", methods=["GET"])
+def rock():
+ """
+ Pulls a picture of a rock on closed fist gesture
+ """
+ return render_template("rock.html")
+
+
+@app.route("/secondaryRock", methods=["GET"])
+def secondary_rock():
+ """
+ Secondary route for redundency
+ """
+ return render_template("rock.html")
+
+
+@app.route("/secondarySnail", methods=["GET"])
+def secondary_snail():
+ """
+ Secondary route for redundency!
+ """
+ return render_template("stop.html")
+
+
+@app.route("/secondaryChurchil", methods=["GET"])
+def secondary_churchil():
+ """
+ Secondary route for redundency!
+ """
+ return render_template("victory.html")
+
+
+if __name__ == "__main__":
+ app.run(host="0.0.0.0", port=5002, debug=True)
diff --git a/web-app/readme.txt b/web_app/readme.txt
similarity index 100%
rename from web-app/readme.txt
rename to web_app/readme.txt
diff --git a/web_app/requirements.txt b/web_app/requirements.txt
new file mode 100644
index 0000000..45b6e36
--- /dev/null
+++ b/web_app/requirements.txt
@@ -0,0 +1,11 @@
+blinker==1.7.0
+click==8.1.7
+dnspython==2.4.2
+Flask==3.0.0
+Flask-PyMongo==2.3.0
+Flask-Cors==4.0.0
+itsdangerous==2.1.2
+Jinja2==3.1.2
+MarkupSafe==2.1.3
+pymongo==4.6.0
+Werkzeug==3.0.1
diff --git a/web_app/static/churchill.jpg b/web_app/static/churchill.jpg
new file mode 100644
index 0000000..6f4e3b2
Binary files /dev/null and b/web_app/static/churchill.jpg differ
diff --git a/web_app/static/dv.jpg b/web_app/static/dv.jpg
new file mode 100644
index 0000000..864ee1a
Binary files /dev/null and b/web_app/static/dv.jpg differ
diff --git a/web_app/static/js.jpg b/web_app/static/js.jpg
new file mode 100644
index 0000000..f0b0db1
Binary files /dev/null and b/web_app/static/js.jpg differ
diff --git a/web_app/static/rock.jpg b/web_app/static/rock.jpg
new file mode 100644
index 0000000..8ec03ca
Binary files /dev/null and b/web_app/static/rock.jpg differ
diff --git a/web_app/static/snail.jpg b/web_app/static/snail.jpg
new file mode 100644
index 0000000..6f61415
Binary files /dev/null and b/web_app/static/snail.jpg differ
diff --git a/web_app/static/styles.css b/web_app/static/styles.css
new file mode 100644
index 0000000..988a246
--- /dev/null
+++ b/web_app/static/styles.css
@@ -0,0 +1,118 @@
+body{
+ font-family: 'Roboto', sans-serif;
+}
+
+/* Churchill Styles */
+body.pageOne{
+ background-color: #885A89;
+ display: flex;
+ align-items: center;
+ justify-content: center;
+ height: 100vh;
+ margin: 0;
+}
+
+#chImgBox{
+ margin: auto;
+
+}
+
+#chImg{
+ border-radius: 10px;
+ border: 3px solid white;
+}
+
+/* Jesus Styles */
+body.pageTwo{
+ background-color: #BCD4DE ;
+ display: flex;
+ align-items: center;
+ justify-content: center;
+ height: 100vh;
+ margin: 0;
+}
+
+#jsBox{
+ margin: auto;
+
+}
+
+#jsImg{
+ border-radius: 10px;
+ border: 3px solid white;
+}
+
+/* Devil Styles */
+body.pageThree{
+ background-color: #7B2642;
+ display: flex;
+ align-items: center;
+ justify-content: center;
+ height: 100vh;
+ margin: 0;
+}
+
+#dvBox{
+ margin: auto;
+
+}
+
+#dvImg{
+ border-radius: 10px;
+ border: 3px solid white;
+}
+
+/*Rock Styles */
+body.pageFour{
+ background-color: #EE7B30;
+ display: flex;
+ align-items: center;
+ justify-content: center;
+ height: 100vh;
+ margin: 0;
+}
+
+#rockBox{
+ margin: auto;
+
+}
+
+#rockImg{
+ border-radius: 10px;
+ border: 3px solid white;
+}
+
+/*Snail Styles*/
+body.pageFive{
+ background-color: #4A4E69;
+ display: flex;
+ align-items: center;
+ justify-content: center;
+ height: 100vh;
+ margin: 0;
+}
+
+#snailBox{
+ margin: auto;
+
+}
+
+#snailImg{
+ border-radius: 10px;
+ border: 3px solid white;
+}
+
+/* Welcome Styles */
+body.pageSix{
+ background-color: #81B29A;
+ display: flex;
+ align-items: center;
+ justify-content: center;
+ height: 100vh;
+ margin: 0;
+}
+
+#welcomeBox{
+ margin: auto;
+}
+
diff --git a/web_app/templates/base.html b/web_app/templates/base.html
new file mode 100644
index 0000000..8205f71
--- /dev/null
+++ b/web_app/templates/base.html
@@ -0,0 +1,17 @@
+
+
+
+
+ Main
+
+
+
+
+
+
+
+ {% block content %} {% endblock %}
+
diff --git a/web_app/templates/rock.html b/web_app/templates/rock.html
new file mode 100644
index 0000000..a3a3785
--- /dev/null
+++ b/web_app/templates/rock.html
@@ -0,0 +1,11 @@
+{% extends 'base.html' %}
+
+ {%block content %}
+
+
+
+
}})
+
+
}})
+
+
}})
+
+
}})
+
+
}})
+
Gesture Recognition Camera Feed
+
+ ![]()
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/web_app/templates/welcome.html b/web_app/templates/welcome.html
new file mode 100644
index 0000000..ffe22c8
--- /dev/null
+++ b/web_app/templates/welcome.html
@@ -0,0 +1,25 @@
+{% extends 'base.html' %}
+
+ {%block content %}
+
+
+
+
+
+ {% endblock %}
\ No newline at end of file
diff --git a/web_app/tests/test_routes.py b/web_app/tests/test_routes.py
new file mode 100644
index 0000000..6665ae8
--- /dev/null
+++ b/web_app/tests/test_routes.py
@@ -0,0 +1,151 @@
+"""
+Tests to check the front end routes are working correctly.
+"""
+# pylint: disable=W0621
+# pylint: disable=C0413
+# pylint: disable=E0401
+# pylint: disable=R1714
+
+import sys
+from unittest.mock import Mock
+import pytest
+import pymongo
+
+
+sys.path.append("..")
+
+from app import app, initialize_database, gesture_display
+
+# KEY - RUN WITH: python -m pytest
+
+
+@pytest.fixture
+def mocker():
+ """
+ Mocker
+ """
+
+ return Mock()
+
+
+@pytest.fixture
+def client():
+ """
+ Creates a flask testing client to simmulate calls to the web-app.
+ """
+ app.config["TESTING"] = True
+ with app.test_client() as client:
+ yield client
+
+
+def test_hello_route(client):
+ """
+ Testing the returned status code of the default route.
+ """
+ response = client.get("/")
+ assert response.status_code == 200
+
+
+def test_vicotory_route(client):
+ """
+ Test the retuned status code of the victory route.
+ """
+ response = client.get("/victory")
+ assert response.status_code == 200
+
+
+def test_thumbs_up_route(client):
+ """
+ Test the retuned status code of the thumbs_up route.
+ """
+ response = client.get("/thumbsUp")
+ assert response.status_code == 200
+
+
+def test_thumbs_down_route(client):
+ """
+ Test the retuned status code of the thumbs down route.
+ """
+ response = client.get("/thumbsDown")
+ assert response.status_code == 200
+
+
+def test_stop_route(client):
+ """
+ Test the retuned status code of the stop route.
+ """
+ response = client.get("/stop")
+ assert response.status_code == 200
+
+
+def test_rock_route(client):
+ """
+ Test the retuned status code of the rock route.
+ """
+ response = client.get("/rock")
+ assert response.status_code == 200
+
+
+def test_camera(client):
+ """
+ Test the camera route. The camera route redirects to the hello route
+ """
+ response = client.get("/camera")
+ assert response.status_code == 200 or response.status_code == 302
+
+
+def test_delete_route(client):
+ """
+ Test the delete route
+ """
+ response = client.get("/delete")
+ assert response.status_code == 302
+
+
+def test_test_route(client):
+ """
+ Test the test route
+ """
+ response = client.get("/test")
+ assert response.status_code == 302
+
+
+def test_initialize_database():
+ """
+ Test the initialize database function
+ """
+ db_connection = initialize_database()
+ assert isinstance(db_connection, pymongo.MongoClient) or db_connection is None
+
+
+def test_gesture_display(client):
+ """
+ Test for the gesture display function
+ """
+ response = gesture_display()
+ response_followed = client.get(response.location)
+ assert response_followed.status_code == 200
+
+
+def test_secondary_rock(client):
+ """
+ Testing secondary rock route
+ """
+ response = client.get("/secondaryRock")
+ assert response.status_code == 200
+
+
+def test_secondary_snail(client):
+ """
+ Testing secondary snail route
+ """
+ response = client.get("/secondarySnail")
+ assert response.status_code == 200
+
+
+def test_secondary_churchil(client):
+ """
+ Testing secondary churchil route
+ """
+ response = client.get("/secondaryChurchil")
+ assert response.status_code == 200