feat: dev deployment to master (#190)

* feat: added dynamic visualisation on the map based on lat and long

* excluded uploaded files from commit

* added interative visualisation of metrics

* feat: added clustering algorithms

* chore: refactored visualisation location

* chore: removed .DS_Store

* chore: removed rail.py

* feat: added spectral clustering

* .

* feat: added more clustering algorithms

* spectral, * kmeans, * agglomerative

* chore: code cleanup

* Update app.cpython-311.pyc

* latest codebase

added more clustering

* update

1) All clusters added (complted sprint 3)
2) moved general metrics to seperate page

* Fix 0 margin on all gaphs

* Fix map layout when not spatial

* fix /

* raise error if 'map' and not spatial

* .

* rm .github

* rm pycache

* update

1) Storing an netoworkObject into session
2) Tested all cluster
Found 3 errors. Raised on github
3) General metrics to other page
Done under uploaded_dataset route.
But not added frontend menu to route there.
4) Visualisation Tab
Tabs: network, Temporal
temporal is not showing is graph is spatial, only dynamic toggle and layout dropdown is kept

* add return nan in visualisation

* add .github

* add .github

* return 'no_graph.html'

* rm __pycache__

* update

Added all_metrics template.
Removed dynamic toggle from all_metrics

* update

if n/w graph is spatial then layout=map else sfdp added for all_metrics

* Delete app.cpython-311.pyc

* update

-single metrics template added
-keeping multi and directed toggle on
-removed dynamic from boxplot,violin,histogram
-toggle layout based on networkkGraph type

* fix: k-clique clustering bug

* update

removed multi and directed toggle for clustering

* update

New field added in cluster, i.e Number of cluster, by default value None

* update

applied working method to every cluster

* update

Hotspot changes, remvoed coldspot, kept only iframe and data

* update

feat:
added forms in resilience analysis (random, malicious, cluster).
working input from user.

* update

fix:
removed girvan_newman & edge_betweenness cluster

* networkGRaphs cache

* change compute global metrics

* add temporal graphs

* rm fig.show

* update

fixed networkGraph object. and moved dataset on homepage and created seperate page for global metrics

* Update 2029240f6d1128be89ddc32729463129

* update

feat: global metrics

* removed flask session

* update

* fix: basic visualisation

* feat: add clean df for frontend

* fix: returned no graph instead of errors

* fix: path for dynamic graphs

* update

found error of dynamic visualisation,
in malicious resilience changed type of attach as metrics names,

* update

fix bugs

* fix: set/get key name

* Update app.py

* feat: removed no graph from ml communities

* fix: import

* fix: index 0 frontend bug

* fix: temporal no graph is not temporal

* minor chagnes

* fix: error with index 0

* fix: error with index 0

* update

1) if graph is spatial change layout for cluster
2) Removed hirerachical
3) Removed Edge all
4) Tooltips added
5) Accordian Added for resilience cluster

* change

added tooltips for visualisation page

* fix: Assertion Error when using Dynamic for MTX/CUSTOM

* fix: use cache even when arg not in same order

* feat: template resilience analysis

* feat: added custom cluster size to a few clustering algorithms (#102)

* feat: added custom cluster size to a few clustering algorithms

* feat: added custom cluster size to a few clustering algorithms

* fix: index 0 error

* fix: argument passing

* feat: add custom title for clustering

* feat: add custom title for clustering

* feat: resilience

* feat: Kmeans

* update

1) working accordian
2) tabs from 5.2 added

* feat: resilience analysis

* feat: minor changes

1) added spinner after using app with sample datasets
2) added tooltips on sample dataset card to understand which dataset it is

* feat: clustering

* fix: 105 valueerror n samples=5 should be = n clusters=6 agglomerative clustering custom ff (#107)

* feat: production deployment for sprint 3 (#75)

* .

* Update app.cpython-311.pyc

* latest codebase

added more clustering

* update

1) All clusters added (complted sprint 3)
2) moved general metrics to seperate page

* Fix 0 margin on all gaphs

* Fix map layout when not spatial

* fix /

* raise error if 'map' and not spatial

* .

* rm .github

* rm pycache

* update

1) Storing an netoworkObject into session
2) Tested all cluster
Found 3 errors. Raised on github
3) General metrics to other page
Done under uploaded_dataset route.
But not added frontend menu to route there.
4) Visualisation Tab
Tabs: network, Temporal
temporal is not showing is graph is spatial, only dynamic toggle and layout dropdown is kept

* add return nan in visualisation

* add .github

* add .github

* return 'no_graph.html'

* rm __pycache__

* update

Added all_metrics template.
Removed dynamic toggle from all_metrics

* update

if n/w graph is spatial then layout=map else sfdp added for all_metrics

* Delete app.cpython-311.pyc

* update

-single metrics template added
-keeping multi and directed toggle on
-removed dynamic from boxplot,violin,histogram
-toggle layout based on networkkGraph type

* fix: k-clique clustering bug

* update

removed multi and directed toggle for clustering

* update

New field added in cluster, i.e Number of cluster, by default value None

* update

applied working method to every cluster

* update

Hotspot changes, remvoed coldspot, kept only iframe and data

* update

feat:
added forms in resilience analysis (random, malicious, cluster).
working input from user.

* update

fix:
removed girvan_newman & edge_betweenness cluster

* networkGRaphs cache

* change compute global metrics

* add temporal graphs

* rm fig.show

* update

fixed networkGraph object. and moved dataset on homepage and created seperate page for global metrics

* Update 2029240f6d1128be89ddc32729463129

* update

feat: global metrics

* removed flask session

* update

---------

Co-authored-by: sferez <simeon.ferez@gmail.com>
Co-authored-by: Tejas Patil <tejas.coder@gmail.com>

* fix: valueerror: n_samples=5 should be >= n_clusters=6.

---------

Co-authored-by: sferez <simeon.ferez@gmail.com>
Co-authored-by: Tejas Patil <tejas.coder@gmail.com>

* feat: clustering

* fix: clustering

* fix: clustering

* feat: malicious resilience analysis

* feat: malicious resilience analysis

* fix: refactor return_nan and clean_df in utils.py

* feat: template report generation

* feat: cluster resilience analysis (#111)

* feat: added custom cluster size to a few clustering algorithms

* feat: added custom cluster size to a few clustering algorithms

* feat: added custom cluster size to a few clustering algorithms

* feat: cluster resilience analysis

* feat: cluster resilience analysis

* chore: clean up code

* before change update

all tabs are replaced with bootstrap 5.2

* fix: bugs, feat: description, tooltip (#79)

* update

found error of dynamic visualisation,
in malicious resilience changed type of attach as metrics names,

* update

fix bugs

* fix: set/get key name

* Update app.py

* minor chagnes

* update

1) if graph is spatial change layout for cluster
2) Removed hirerachical
3) Removed Edge all
4) Tooltips added
5) Accordian Added for resilience cluster

* change

added tooltips for visualisation page

* update

1) working accordian
2) tabs from 5.2 added

* feat: minor changes

1) added spinner after using app with sample datasets
2) added tooltips on sample dataset card to understand which dataset it is

* before change update

all tabs are replaced with bootstrap 5.2

* fix: cluster security

* fix: cluster security (#112)

* changed degree centrality only

* feat: deep learning

* update

made common single_metrics function to render template

* Revert "update"

This reverts commit b306a60.

* Revert "Revert "update""

This reverts commit 0c05b7f.

* working directories

* updates

* error

resilience random

* feat: custom resilience

* feat: custom cluster removal (#117)

* feat: added custom cluster size to a few clustering algorithms

* feat: added custom cluster size to a few clustering algorithms

* feat: added custom cluster size to a few clustering algorithms

* feat: cluster resilience analysis

* feat: cluster resilience analysis

* chore: clean up code

* fix: fixed utils import bug

* feat: added custom cluster removal

* feat: added custom cluster removal

* feat: added custom cluster removal

* feat: added custom cluster removal

* update

made custom response for random resilience input form

visualization tab working

* update

working
1) Random Resilience Analysis
-- Nodes
---- Visualisation
---- Centrality
------ Degree Centrality

* feat: reduce x10 html files size

* feat: resilience random (#115)

* update

found error of dynamic visualisation,
in malicious resilience changed type of attach as metrics names,

* update

fix bugs

* fix: set/get key name

* Update app.py

* minor chagnes

* update

1) if graph is spatial change layout for cluster
2) Removed hirerachical
3) Removed Edge all
4) Tooltips added
5) Accordian Added for resilience cluster

* change

added tooltips for visualisation page

* update

1) working accordian
2) tabs from 5.2 added

* feat: minor changes

1) added spinner after using app with sample datasets
2) added tooltips on sample dataset card to understand which dataset it is

* before change update

all tabs are replaced with bootstrap 5.2

* changed degree centrality only

* update

made common single_metrics function to render template

* Revert "update"

This reverts commit b306a60.

* Revert "Revert "update""

This reverts commit 0c05b7f.

* working directories

* error

resilience random

* update

made custom response for random resilience input form

visualization tab working

* update

working
1) Random Resilience Analysis
-- Nodes
---- Visualisation
---- Centrality
------ Degree Centrality

---------

Co-authored-by: sferez <simeon.ferez@gmail.com>

* feat: dynamic scale size visualisation

* feat: resilience return df of changed

* feat: resilience return df of changed

* update

Resilience Random Node
centrality working

* update

kcore node working

* fix: longest iterations issue

* feat: resilience example documentation

* docs: Formatting and documentation

* update

resilience random, nodes working

* fix: rm std from frontend visualisation

* feat: memoize expensive computing functions

* update

working resilience random

* fix: Kmeans clustering

* fix: Kmeans clustering

* Update resilience_routes.py

working both nodes and edges tabs,
remembering it was node tab or edge tab.

* update

converted html into template

* fix: Kclique clustering

* feat: resilience malicious integration

working resilience malicious

* feat: JS SCripts, copy node when clic

* feat: JS SCripts, copy node when clic

* feat: Custom dataset, BTC transactions

* fix: error write_html for dynamic

* feat: copy to clipboard node id

* Revert "Merge branch 'dev' of https://github.com/airscholar/AlphaTeam into tejas"

This reverts commit 50513b4, reversing
changes made to 8c67df5.

* Revert "feat: resilience malicious integration"

This reverts commit 8c67df5.

* Revert "Revert "feat: resilience malicious integration""

This reverts commit 4bc80c3.

* feat: working resilience

all resilience working

1 issue raised for cluster list issue

* update

operator bug fixed

* feat: Backend elevation to dev (#189)

---------

Co-authored-by: sferez <simeon.ferez@gmail.com>
Co-authored-by: Tejas Patil <tejas.coder@gmail.com>
Co-authored-by: Tejas Patil <65388565+tejas2292@users.noreply.github.com>
Co-authored-by: Simeon <91850099+sferez@users.noreply.github.com>

DockerFile

@@ -0,0 +1,28 @@
+# Dockerfile for AlphaTeam
+
+# BUILD: docker build -t alphateam .
+# RUN: docker run -p 8000:8000 -p 5000:5000 --name alphateam-container alphateam
+
+# /!\ WARNING /!\
+# FOR NOW REPOSITORY IS PRIVATE SO IT WILL NOT WORK
+
+# Use official Python 3.10 image as base
+FROM python:3.10
+
+# Set the working directory
+WORKDIR /AlphaTeam
+
+# Clone the Github repository
+RUN git clone git@github.com:airscholar/AlphaTeam.git .
+
+# Install the dependencies from requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Expose the ports
+EXPOSE 8000 5000
+
+# Start the backend API
+CMD ["sh", "-c", "python backend/app.py &"]
+
+# Start the application
+CMD ["python", "application/app.py"]