refactor a bit
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@ -267,33 +267,16 @@ def join_uuids(uuids):
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# in the same order
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# in the same order
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return hashlib.md5(combined_uuids.encode('utf8')).hexdigest() # make a hash of the hashes
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return hashlib.md5(combined_uuids.encode('utf8')).hexdigest() # make a hash of the hashes
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@cross_origin() # allow all cross origin requests so we can hit it with a dev box
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def get_all_spec_state():
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def get_all_spec_state():
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# big_nasty_sql = """
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df = get_all_spec_state_dataframe()
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#
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return df.reset_index().to_json(orient='records')
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# with first as (
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# select file_model_id,version,max(version) over (partition by file_model_id) maxversion,f
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def get_all_spec_state_dataframe():
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# .name,
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"""
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# workflow_spec_id,date_created,md5_hash
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Return a list of all workflow specs along with last updated date and a
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# from file f join file_data fd on fd.
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thumbprint of all of the files that are used for that workflow_spec
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# file_model_id = f.id
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"""
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# where workflow_spec_id is not null
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# order by workflow_spec_id,file_model_id,version desc),
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# second as (select name,workflow_spec_id,date_created,md5_hash from first
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# where maxversion = version)
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# select row_to_json(t) workflow_spec_state
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# from (
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# select workflow_spec_id,max(date_created) last_update,md5(max(
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# (
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# select array_to_json(array_agg(row_to_json(d)))
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# from (select name,md5_hash from second where second.workflow_spec_id = second2.workflow_spec_id) d
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#
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# )::text)) as files_hash
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# from second as second2
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# group by 1
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# ) t
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# """
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# json_results = []
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# result = db.engine.execute(big_nasty_sql)
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x = session.query(FileDataModel).join(FileModel)
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x = session.query(FileDataModel).join(FileModel)
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# there might be a cleaner way of getting a data frome from some of the
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# there might be a cleaner way of getting a data frome from some of the
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@ -315,8 +298,9 @@ def get_all_spec_state():
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# workflow spec
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# workflow spec
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df = df.groupby('workflow_spec_id').agg({'date_created':'max',
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df = df.groupby('workflow_spec_id').agg({'date_created':'max',
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'md5_hash':join_uuids}).copy()
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'md5_hash':join_uuids}).copy()
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df = df[['date_created','md5_hash']].copy()
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df['date_created'] = df['date_created'].astype('str')
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df = df.reset_index()[['workflow_spec_id','date_created','md5_hash']].copy()
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return df.to_json(orient='records')
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return df
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