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Merge branch 'master' into PHRAS-2796_actionbar-enhancements_4.1
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@@ -123,8 +123,8 @@ workflows:
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dockerfile: Dockerfile
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extra-build-args: "--target phraseanet-fpm"
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region: AWS_DEFAULT_REGION
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repo: "${AWS_RESOURCE_NAME_PREFIX}/phraseanet"
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tag: "alpha-0.1"
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repo: "phraseanet-fpm"
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tag: "${CIRCLE_BRANCH}"
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- aws-ecr/build_and_push_image:
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account-url: AWS_ACCOUNT_URL
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aws-access-key-id: AWS_ACCESS_KEY_ID
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@@ -134,8 +134,8 @@ workflows:
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dockerfile: Dockerfile
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extra-build-args: "--target phraseanet-nginx"
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region: AWS_DEFAULT_REGION
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repo: "${AWS_RESOURCE_NAME_PREFIX}/phraseanet-nginx"
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tag: "alpha-0.1"
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repo: "phraseanet-nginx"
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tag: "${CIRCLE_BRANCH}"
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- aws-ecr/build_and_push_image:
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account-url: AWS_ACCOUNT_URL
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aws-access-key-id: AWS_ACCESS_KEY_ID
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@@ -145,5 +145,5 @@ workflows:
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dockerfile: Dockerfile
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extra-build-args: "--target phraseanet-worker"
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region: AWS_DEFAULT_REGION
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repo: "${AWS_RESOURCE_NAME_PREFIX}/phraseanet"
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tag: "alpha-0.1"
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repo: "phraseanet-worker"
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tag: "${CIRCLE_BRANCH}"
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@@ -72,3 +72,7 @@ It will build and tag the following images :
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local/phraseanet-worker:<TAG>
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local/phraseanet-fpm:<TAG>
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local/phraseanet-nginx:<TAG>
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# Deploy the application
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Once the images are built, you can deploy the entire phraseanet stack using the repository : https://github.com/alchemy-fr/phraseanet-docker and follow the instruction inside its `README.md` file.
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@@ -79,7 +79,7 @@
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<size>748</size>
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<mediatype>video</mediatype>
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<writeDatas>yes</writeDatas>
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<acodec>libfaac</acodec>
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<acodec>libmp3lame</acodec>
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<vcodec>libx264</vcodec>
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<devices>screen</devices>
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<bitrate>1000</bitrate>
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@@ -79,7 +79,7 @@
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<size>748</size>
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<mediatype>video</mediatype>
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<writeDatas>yes</writeDatas>
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<acodec>libfaac</acodec>
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<acodec>libmp3lame</acodec>
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<vcodec>libx264</vcodec>
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<devices>screen</devices>
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<bitrate>1000</bitrate>
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@@ -79,7 +79,7 @@
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<size>748</size>
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<mediatype>video</mediatype>
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<writeDatas>yes</writeDatas>
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<acodec>libfaac</acodec>
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<acodec>libmp3lame</acodec>
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<vcodec>libx264</vcodec>
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<devices>screen</devices>
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<bitrate>1000</bitrate>
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