Switching to STG-26 for the Spiff Library, and adding a test that demonstrates the failure Aaron ran into yesterday.
This commit is contained in:
Dan Funk
parent
479f6d9647
commit
0ca9b9624e
2
Pipfile
2
Pipfile
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@ -25,7 +25,7 @@ pyjwt = "*"
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requests = "*"
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xlsxwriter = "*"
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webtest = "*"
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spiffworkflow = {editable = true,git = "https://github.com/sartography/SpiffWorkflow.git",ref = "deploy"}
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spiffworkflow = {editable = true,git = "https://github.com/sartography/SpiffWorkflow.git",ref = "STG-26"}
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alembic = "*"
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coverage = "*"
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sphinx = "*"
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@ -1,7 +1,7 @@
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{
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"_meta": {
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"hash": {
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"sha256": "6c89585086260ebcb41918b8ef3b1d9e189e1b492208d3ff000a138bc2f2fcee"
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"sha256": "0453e28d7e408f683f7db19925416bdaf3e14c520977d09f7b07b2a9cbce5c03"
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},
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"pipfile-spec": 6,
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"requires": {
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@ -104,17 +104,17 @@
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},
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"celery": {
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"hashes": [
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"sha256:c3f4173f83ceb5a5c986c5fdaefb9456de3b0729a72a5776e46bd405fda7b647",
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"sha256:d1762d6065522879f341c3d67c2b9fe4615eb79756d59acb1434601d4aca474b"
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"sha256:ef17d7dffde7fc73ecab3a3b6389d93d3213bac53fa7f28e68e33647ad50b916",
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"sha256:fd77e4248bb1b7af5f7922dd8e81156f540306e3a5c4b1c24167c1f5f06025da"
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],
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"version": "==4.4.5"
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"version": "==4.4.6"
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},
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"certifi": {
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"hashes": [
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"sha256:5ad7e9a056d25ffa5082862e36f119f7f7cec6457fa07ee2f8c339814b80c9b1",
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"sha256:9cd41137dc19af6a5e03b630eefe7d1f458d964d406342dd3edf625839b944cc"
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"sha256:5930595817496dd21bb8dc35dad090f1c2cd0adfaf21204bf6732ca5d8ee34d3",
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"sha256:8fc0819f1f30ba15bdb34cceffb9ef04d99f420f68eb75d901e9560b8749fc41"
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],
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"version": "==2020.4.5.2"
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"version": "==2020.6.20"
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},
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"cffi": {
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"hashes": [
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@ -394,10 +394,10 @@
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},
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"kombu": {
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"hashes": [
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"sha256:437b9cdea193cc2ed0b8044c85fd0f126bb3615ca2f4d4a35b39de7cacfa3c1a",
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"sha256:dc282bb277197d723bccda1a9ba30a27a28c9672d0ab93e9e51bb05a37bd29c3"
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"sha256:be48cdffb54a2194d93ad6533d73f69408486483d189fe9f5990ee24255b0e0a",
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"sha256:ca1b45faac8c0b18493d02a8571792f3c40291cf2bcf1f55afed3d8f3aa7ba74"
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],
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"version": "==4.6.10"
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"version": "==4.6.11"
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},
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"ldap3": {
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"hashes": [
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@ -510,29 +510,34 @@
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},
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"numpy": {
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"hashes": [
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"sha256:0172304e7d8d40e9e49553901903dc5f5a49a703363ed756796f5808a06fc233",
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"sha256:cd49930af1d1e49a812d987c2620ee63965b619257bd76eaaa95870ca08837cf",
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"sha256:ef627986941b5edd1ed74ba89ca43196ed197f1a206a3f18cc9faf2fb84fd675",
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"sha256:f718a7949d1c4f622ff548c572e0c03440b49b9531ff00e4ed5738b459f011e8"
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"sha256:13af0184177469192d80db9bd02619f6fa8b922f9f327e077d6f2a6acb1ce1c0",
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"sha256:26a45798ca2a4e168d00de75d4a524abf5907949231512f372b217ede3429e98",
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"sha256:26f509450db547e4dfa3ec739419b31edad646d21fb8d0ed0734188b35ff6b27",
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"sha256:30a59fb41bb6b8c465ab50d60a1b298d1cd7b85274e71f38af5a75d6c475d2d2",
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"sha256:33c623ef9ca5e19e05991f127c1be5aeb1ab5cdf30cb1c5cf3960752e58b599b",
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"sha256:356f96c9fbec59974a592452ab6a036cd6f180822a60b529a975c9467fcd5f23",
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"sha256:3c40c827d36c6d1c3cf413694d7dc843d50997ebffbc7c87d888a203ed6403a7",
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"sha256:4d054f013a1983551254e2379385e359884e5af105e3efe00418977d02f634a7",
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"sha256:63d971bb211ad3ca37b2adecdd5365f40f3b741a455beecba70fd0dde8b2a4cb",
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"sha256:658624a11f6e1c252b2cd170d94bf28c8f9410acab9f2fd4369e11e1cd4e1aaf",
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"sha256:76766cc80d6128750075378d3bb7812cf146415bd29b588616f72c943c00d598",
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"sha256:7b57f26e5e6ee2f14f960db46bd58ffdca25ca06dd997729b1b179fddd35f5a3",
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"sha256:7b852817800eb02e109ae4a9cef2beda8dd50d98b76b6cfb7b5c0099d27b52d4",
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"sha256:8cde829f14bd38f6da7b2954be0f2837043e8b8d7a9110ec5e318ae6bf706610",
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"sha256:a2e3a39f43f0ce95204beb8fe0831199542ccab1e0c6e486a0b4947256215632",
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"sha256:a86c962e211f37edd61d6e11bb4df7eddc4a519a38a856e20a6498c319efa6b0",
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"sha256:a8705c5073fe3fcc297fb8e0b31aa794e05af6a329e81b7ca4ffecab7f2b95ef",
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"sha256:b6aaeadf1e4866ca0fdf7bb4eed25e521ae21a7947c59f78154b24fc7abbe1dd",
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"sha256:be62aeff8f2f054eff7725f502f6228298891fd648dc2630e03e44bf63e8cee0",
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"sha256:c2edbb783c841e36ca0fa159f0ae97a88ce8137fb3a6cd82eae77349ba4b607b",
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"sha256:cbe326f6d364375a8e5a8ccb7e9cd73f4b2f6dc3b2ed205633a0db8243e2a96a",
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"sha256:d34fbb98ad0d6b563b95de852a284074514331e6b9da0a9fc894fb1cdae7a79e",
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"sha256:d97a86937cf9970453c3b62abb55a6475f173347b4cde7f8dcdb48c8e1b9952d",
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"sha256:dd53d7c4a69e766e4900f29db5872f5824a06827d594427cf1a4aa542818b796",
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"sha256:df1889701e2dfd8ba4dc9b1a010f0a60950077fb5242bb92c8b5c7f1a6f2668a",
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"sha256:fa1fe75b4a9e18b66ae7f0b122543c42debcf800aaafa0212aaff3ad273c2596"
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],
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"version": "==1.18.5"
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"version": "==1.19.0"
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},
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"openapi-spec-validator": {
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"hashes": [
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@ -544,10 +549,10 @@
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},
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"openpyxl": {
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"hashes": [
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"sha256:547a9fc6aafcf44abe358b89ed4438d077e9d92e4f182c87e2dc294186dc4b64"
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"sha256:6e62f058d19b09b95d20ebfbfb04857ad08d0833190516c1660675f699c6186f"
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],
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"index": "pypi",
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"version": "==3.0.3"
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"version": "==3.0.4"
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},
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"packaging": {
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"hashes": [
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@ -558,25 +563,25 @@
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},
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"pandas": {
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"hashes": [
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"sha256:034185bb615dc96d08fa13aacba8862949db19d5e7804d6ee242d086f07bcc46",
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"sha256:ae961f1f0e270f1e4e2273f6a539b2ea33248e0e3a11ffb479d757918a5e03a9",
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"index": "pypi",
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"version": "==1.0.4"
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"version": "==1.0.5"
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},
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"psycopg2-binary": {
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"hashes": [
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@ -678,6 +683,61 @@
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],
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"version": "==1.0.4"
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},
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"python-levenshtein-wheels": {
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"sha256:7f7283dfe50eac8a8cd9b777de9eb50b1edf7dbb46fc7cc9d9b0050d0c135021",
|
||||
"sha256:7f9759095b3fc825464a72b1cae95125e610eba3c70f91557754c32a0bf32ea2",
|
||||
"sha256:8005a4df455569c0d490ddfd9e5a163f21293477fd0ed4ea9effdd723ddd8eaa",
|
||||
"sha256:86e865f29ad3dc3bb4733e5247220173d90f05ac8d2ad18e9689a220f90de55f",
|
||||
"sha256:98727050ba70eb8d318ec8a8203531c20119347fc8f281102b097326812742ab",
|
||||
"sha256:ac9cdf044dcb9481c7da782db01b50c1f0e7cdd78c8507b963b6d072829c0263",
|
||||
"sha256:acfad8ffed96891fe7c583d92717cd8ec0c03b59a954c389fd4e26a5cdeac610",
|
||||
"sha256:ad15f25abff8220e556d64e2a27c646241b08f00faf1bc02313655696cd3edfa",
|
||||
"sha256:b679f951f842c38665aa54bea4d7403099131f71fac6d8584f893a731fe1266d",
|
||||
"sha256:b8c183dc4aa4e95dc5c373eedc3d205c176805835611fcfec5d9050736c695c4",
|
||||
"sha256:c097a6829967c76526a037ed34500a028f78f0d765c8e3dbd1a7717afd09fb92",
|
||||
"sha256:c2c76f483d05eddec60a5cd89e92385adef565a4f243b1d9a6abe2f6bd2a7c0a",
|
||||
"sha256:c388baa3c04272a7c585d3da24030c142353eb26eb531dd2681502e6be7d7a26",
|
||||
"sha256:cb0f2a711db665b5bf8697b5af3b9884bb1139385c5c12c2e472e4bbee62da99",
|
||||
"sha256:cbac984d7b36e75b440d1c8ff9d3425d778364a0cbc23f8943383d4decd35d5e",
|
||||
"sha256:f55adf069be2d655f8d668594fe1be1b84d9dc8106d380a9ada06f34941c33c8",
|
||||
"sha256:f9084ed3b8997ad4353d124b903f2860a9695b9e080663276d9e58c32e293244",
|
||||
"sha256:fb7df3504222fcb1fa593f76623abbb54d6019eec15aac5d05cd07ad90ac016c"
|
||||
],
|
||||
"version": "==0.13.1"
|
||||
},
|
||||
"pytz": {
|
||||
"hashes": [
|
||||
"sha256:a494d53b6d39c3c6e44c3bec237336e14305e4f29bbf800b599253057fbb79ed",
|
||||
|
|
@ -711,11 +771,11 @@
|
|||
},
|
||||
"requests": {
|
||||
"hashes": [
|
||||
"sha256:43999036bfa82904b6af1d99e4882b560e5e2c68e5c4b0aa03b655f3d7d73fee",
|
||||
"sha256:b3f43d496c6daba4493e7c431722aeb7dbc6288f52a6e04e7b6023b0247817e6"
|
||||
"sha256:b3559a131db72c33ee969480840fff4bb6dd111de7dd27c8ee1f820f4f00231b",
|
||||
"sha256:fe75cc94a9443b9246fc7049224f75604b113c36acb93f87b80ed42c44cbb898"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==2.23.0"
|
||||
"version": "==2.24.0"
|
||||
},
|
||||
"sentry-sdk": {
|
||||
"extras": [
|
||||
|
|
@ -751,11 +811,11 @@
|
|||
},
|
||||
"sphinx": {
|
||||
"hashes": [
|
||||
"sha256:1c445320a3310baa5ccb8d957267ef4a0fc930dc1234db5098b3d7af14fbb242",
|
||||
"sha256:7d3d5087e39ab5a031b75588e9859f011de70e213cd0080ccbc28079fb0786d1"
|
||||
"sha256:74fbead182a611ce1444f50218a1c5fc70b6cc547f64948f5182fb30a2a20258",
|
||||
"sha256:97c9e3bcce2f61d9f5edf131299ee9d1219630598d9f9a8791459a4d9e815be5"
|
||||
],
|
||||
"index": "pypi",
|
||||
"version": "==3.1.0"
|
||||
"version": "==3.1.1"
|
||||
},
|
||||
"sphinxcontrib-applehelp": {
|
||||
"hashes": [
|
||||
|
|
@ -802,7 +862,7 @@
|
|||
"spiffworkflow": {
|
||||
"editable": true,
|
||||
"git": "https://github.com/sartography/SpiffWorkflow.git",
|
||||
"ref": "b8a064a0bb76c705a1be04ee9bb8ac7beee56eb0"
|
||||
"ref": "49163a983b7d8b8e564079c79277b21e358a26ac"
|
||||
},
|
||||
"sqlalchemy": {
|
||||
"hashes": [
|
||||
|
|
@ -932,10 +992,10 @@
|
|||
},
|
||||
"more-itertools": {
|
||||
"hashes": [
|
||||
"sha256:558bb897a2232f5e4f8e2399089e35aecb746e1f9191b6584a151647e89267be",
|
||||
"sha256:7818f596b1e87be009031c7653d01acc46ed422e6656b394b0f765ce66ed4982"
|
||||
"sha256:68c70cc7167bdf5c7c9d8f6954a7837089c6a36bf565383919bb595efb8a17e5",
|
||||
"sha256:b78134b2063dd214000685165d81c154522c3ee0a1c0d4d113c80361c234c5a2"
|
||||
],
|
||||
"version": "==8.3.0"
|
||||
"version": "==8.4.0"
|
||||
},
|
||||
"packaging": {
|
||||
"hashes": [
|
||||
|
|
@ -961,10 +1021,10 @@
|
|||
},
|
||||
"py": {
|
||||
"hashes": [
|
||||
"sha256:5e27081401262157467ad6e7f851b7aa402c5852dbcb3dae06768434de5752aa",
|
||||
"sha256:c20fdd83a5dbc0af9efd622bee9a5564e278f6380fffcacc43ba6f43db2813b0"
|
||||
"sha256:a673fa23d7000440cc885c17dbd34fafcb7d7a6e230b29f6766400de36a33c44",
|
||||
"sha256:f3b3a4c36512a4c4f024041ab51866f11761cc169670204b235f6b20523d4e6b"
|
||||
],
|
||||
"version": "==1.8.1"
|
||||
"version": "==1.8.2"
|
||||
},
|
||||
"pyparsing": {
|
||||
"hashes": [
|
||||
|
|
@ -990,10 +1050,10 @@
|
|||
},
|
||||
"wcwidth": {
|
||||
"hashes": [
|
||||
"sha256:79375666b9954d4a1a10739315816324c3e73110af9d0e102d906fdb0aec009f",
|
||||
"sha256:8c6b5b6ee1360b842645f336d9e5d68c55817c26d3050f46b235ef2bc650e48f"
|
||||
"sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784",
|
||||
"sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"
|
||||
],
|
||||
"version": "==0.2.4"
|
||||
"version": "==0.2.5"
|
||||
},
|
||||
"zipp": {
|
||||
"hashes": [
|
||||
|
|
|
|||
|
|
@ -1,13 +1,13 @@
|
|||
from unittest.mock import patch
|
||||
from tests.base_test import BaseTest
|
||||
|
||||
from crc import session
|
||||
from crc import session, db
|
||||
from crc.models.api_models import MultiInstanceType
|
||||
from crc.models.study import StudyModel
|
||||
from crc.models.workflow import WorkflowStatus
|
||||
from crc.models.workflow import WorkflowStatus, WorkflowModel
|
||||
from crc.services.study_service import StudyService
|
||||
from crc.services.workflow_processor import WorkflowProcessor
|
||||
from crc.services.workflow_service import WorkflowService
|
||||
from tests.base_test import BaseTest
|
||||
|
||||
|
||||
class TestWorkflowProcessorMultiInstance(BaseTest):
|
||||
|
|
@ -97,6 +97,12 @@ class TestWorkflowProcessorMultiInstance(BaseTest):
|
|||
|
||||
self.assertEqual(WorkflowStatus.complete, processor.get_status())
|
||||
|
||||
def refresh_processor(self, processor):
|
||||
"""Saves the processor, and returns a new one read in from the database"""
|
||||
processor.save()
|
||||
processor = WorkflowProcessor(processor.workflow_model)
|
||||
return processor
|
||||
|
||||
@patch('crc.services.study_service.StudyService.get_investigators')
|
||||
def test_create_and_complete_workflow_parallel(self, mock_study_service):
|
||||
"""Unlike the test above, the parallel task allows us to complete the items in any order."""
|
||||
|
|
@ -108,11 +114,15 @@ class TestWorkflowProcessorMultiInstance(BaseTest):
|
|||
workflow_spec_model = self.load_test_spec("multi_instance_parallel")
|
||||
study = session.query(StudyModel).first()
|
||||
processor = self.get_processor(study, workflow_spec_model)
|
||||
processor = self.refresh_processor(processor)
|
||||
processor.bpmn_workflow.do_engine_steps()
|
||||
|
||||
# In the Parallel instance, there should be three tasks, all of them in the ready state.
|
||||
next_user_tasks = processor.next_user_tasks()
|
||||
self.assertEqual(3, len(next_user_tasks))
|
||||
# There should be six tasks in the navigation: start event, the script task, end event, and three tasks
|
||||
# for the three executions of hte multi-instance.
|
||||
self.assertEquals(6, len(processor.bpmn_workflow.get_nav_list()))
|
||||
|
||||
# We can complete the tasks out of order.
|
||||
task = next_user_tasks[2]
|
||||
|
|
@ -125,6 +135,7 @@ class TestWorkflowProcessorMultiInstance(BaseTest):
|
|||
task.update_data({"investigator":{"email":"dhf8r@virginia.edu"}})
|
||||
processor.complete_task(task)
|
||||
processor.do_engine_steps()
|
||||
self.assertEquals(6, len(processor.bpmn_workflow.get_nav_list()))
|
||||
|
||||
task = next_user_tasks[0]
|
||||
api_task = WorkflowService.spiff_task_to_api_task(task)
|
||||
|
|
@ -132,6 +143,7 @@ class TestWorkflowProcessorMultiInstance(BaseTest):
|
|||
task.update_data({"investigator":{"email":"asd3v@virginia.edu"}})
|
||||
processor.complete_task(task)
|
||||
processor.do_engine_steps()
|
||||
self.assertEquals(6, len(processor.bpmn_workflow.get_nav_list()))
|
||||
|
||||
task = next_user_tasks[1]
|
||||
api_task = WorkflowService.spiff_task_to_api_task(task)
|
||||
|
|
@ -139,6 +151,7 @@ class TestWorkflowProcessorMultiInstance(BaseTest):
|
|||
task.update_data({"investigator":{"email":"asdf32@virginia.edu"}})
|
||||
processor.complete_task(task)
|
||||
processor.do_engine_steps()
|
||||
self.assertEquals(6, len(processor.bpmn_workflow.get_nav_list()))
|
||||
|
||||
# Completing the tasks out of order, still provides the correct information.
|
||||
expected = self.mock_investigator_response
|
||||
|
|
@ -149,3 +162,4 @@ class TestWorkflowProcessorMultiInstance(BaseTest):
|
|||
task.data['StudyInfo']['investigators'])
|
||||
|
||||
self.assertEqual(WorkflowStatus.complete, processor.get_status())
|
||||
self.assertEquals(6, len(processor.bpmn_workflow.get_nav_list()))
|
||||
|
|
|
|||
Loading…
Reference in New Issue