I have a repeating node that based on some conditions need to be mapped to a single node in the outbound, containing the values from the inbound.
The inbound template structure is something like the follow:
X12 inbound structure
SAC LOOP
SAC
SAC01
SAC02
SAC03
SAC04
SAC05
SAC06
SAC07
SAC08
SAC09
SAC10
SAC11
SAC12
SAC13
SAC
SAC LOOP
The inbound file structure is something like the follow
<...><
DTM+035:20221129~<br>
SAC+C:A330::::Z:9:::::06:22.59~<br>
SAC+C:A330::::::::::06:250.0~<br>
<...>
The SAC elements should be mapped to a single node ILS on the data element ACA that repeats in the same line.
The conditions to be mapped are:
If SAC06 is not empty, create 'ACA::PTP:AOG PRIORITY PREMIUM:USD' on the output file
If SAC06 is empty and SAC13 is not empty, create 'ACA::MCV:PREMIUM TRANSPORT:USD' on the output file
The output file should then have the following structure:
ILS+SLK:2:S:1+.....+ACA:<SAC06 value>:PTP:AOG PRIORITY PREMIUM:USD+ACA:<SAC13 value>:MCV:PREMIUM TRANSPORT:USD'
Related
As you can see from the below picture I was able to combine two deals (blocked red) but the output should have one result instead of two. If anyone has any solutions on this please advise.
The red blocked component has more than one record, each record has an amount, the sum of all record amount must be shown in a single row.
record1: Amount:100
record2: Amount:200
record3: Amount:500
Merge of all records is following
record: Amount:800
Is it possible to merge many rows into a single row in integromat?
Based on your screenshot you aggregate an incorrect module. Source module in your aggregator has to be set to a module that generates multiple modules, in your case, it is module 10.
You aggregate module 14 that generates for every input module a single output module, there is nothing to aggregate. Module 10 returns for a single input 2 bundles.
Your case:
/---[6]---([14]---[11 aggregator])---
---[10] multiple output bundles
\---[6]---([14]---[11 aggregator])---
Solution:
/---[6]---[14]---\
---([10] [11 aggregator])--- single output bundle
\---[6]---[14]---/
Your scenario has to look like this (Aggregator: Source module = module no.10):
I am new to Neo4j and Cypher query.My create query is like each Shop has 2 chillers which has 2 PLCs each which in turn has 2 sensors each.
The create is as below
Create(:SHOP{name:"Shop1"})-[:hasChiller]->(:CHILLER{name:"Chiller1"})
Create(:SHOP{name:"Shop1"})-[:hasChiller]->(:CHILLER{name:"Chiller2"})
Create(:SHOP{name:"Shop2"})-[:hasChiller]->(:CHILLER{name:"Chiller3"})
Create(:SHOP{name:"Shop2"})-[:hasChiller]->(:CHILLER{name:"Chiller4"})
Create(:CHILLER{name:"Chiller1"})-[:hasPLC]->(:PLC{name:"Plc1"})
Create(:CHILLER{name:"Chiller1"})-[:hasPLC]->(:PLC{name:"Plc2"})
Create(:CHILLER{name:"Chiller2"})-[:hasPLC]->(:PLC{name:"Plc3"})
Create(:CHILLER{name:"Chiller2"})-[:hasPLC]->(:PLC{name:"Plc4"})
Create(:CHILLER{name:"Chiller3"})-[:hasPLC]->(:PLC{name:"Plc5"})
Create(:CHILLER{name:"Chiller3"})-[:hasPLC]->(:PLC{name:"Plc6"})
Create(:CHILLER{name:"Chiller4"})-[:hasPLC]->(:PLC{name:"Plc7"})
Create(:CHILLER{name:"Chiller4"})-[:hasPLC]->(:PLC{name:"Plc8"})
Create(:PLC{name:"Plc1"})-[:hasSensor]->(:SENSOR{name:"Sensor1"})
Create(:PLC{name:"Plc1"})-[:hasSensor]->(:SENSOR{name:"Sensor2"})
Create(:PLC{name:"Plc2"})-[:hasSensor]->(:SENSOR{name:"Sensor3"})
Create(:PLC{name:"Plc2"})-[:hasSensor]->(:SENSOR{name:"Sensor4"})
Create(:PLC{name:"Plc3"})-[:hasSensor]->(:SENSOR{name:"Sensor5"})
Create(:PLC{name:"Plc3"})-[:hasSensor]->(:SENSOR{name:"Sensor6"})
Create(:PLC{name:"Plc4"})-[:hasSensor]->(:SENSOR{name:"Sensor7"})
Create(:PLC{name:"Plc4"})-[:hasSensor]->(:SENSOR{name:"Sensor8"})
Create(:PLC{name:"Plc5"})-[:hasSensor]->(:SENSOR{name:"Sensor9"})
Create(:PLC{name:"Plc5"})-[:hasSensor]->(:SENSOR{name:"Sensor10"})
Create(:PLC{name:"Plc6"})-[:hasSensor]->(:SENSOR{name:"Sensor11"})
Create(:PLC{name:"Plc6"})-[:hasSensor]->(:SENSOR{name:"Sensor12"})
Create(:PLC{name:"Plc7"})-[:hasSensor]->(:SENSOR{name:"Sensor13"})
Create(:PLC{name:"Plc7"})-[:hasSensor]->(:SENSOR{name:"Sensor14"})
Create(:PLC{name:"Plc8"})-[:hasSensor]->(:SENSOR{name:"Sensor15"})
Create(:PLC{name:"Plc8"})-[:hasSensor]->(:SENSOR{name:"Sensor16"})
However the Match to get the sensors under SHOP1
MATCH(s:SHOP{name:"Shop1"})-[:hasChiller]->(cc:CHILLER)-[:hasPLC]->(pp:PLC)-[:hasSensor]->(ss:SENSOR) return ss.name
returns nothing.Says no changes and no data.
I am trying this out on Neo4J sandbox environment.I did this based on the understanding i had using match clause in SQL SERVER GRAPH 2019 where this works.
Can anyone point out where i am going wrong?
You are improperly creating multiple instances of the "same" node. You should create each node once, and then use its bound variable name later on when you need to create relationships involving that node.
Delete all your data and follow this pattern instead (you have to fill in the "..." parts):
CREATE
(sh1:SHOP{name:"Shop1"}), (sh2:SHOP{name:"Shop1"}),
(c1:CHILLER{name:"Chiller1"}), (c2:CHILLER{name:"Chiller2"}),(c3:CHILLER{name:"Chiller3"}), (c4:CHILLER{name:"Chiller4"}),
(p1:PLC{name:"Plc1"}), ..., (p8:PLC{name:"Plc8"}),
(se1:SENSOR{name:"Sensor1"}), ..., (se16:SENSOR{name:"Sensor16"}),
(sh1)-[:hasChiller]->(c1), (sh1)-[:hasChiller]->(c2),
... // create remaining relationships using bound variable names for nodes
I have a requirement to split an xml document into multiple nodes; and then split each node separately into more sub nodes. I am using xpathSApply/getNodeSet functions in XML package. But it seems like once the xml document is split as nodes, each node is now considered as class "internal node" and hence cannot perform spath operations on it unless we save it as an xml using saveXML(). Any ideas on how this can be worked out without having to do a SAVEXML?
For example, consider sample xml below:
<array>
<ResidentialProperty>
<Listing>
<StreetAddress>
<StreetNumber>11111</StreetNumber>
<StreetName>111th</StreetName>
<StreetSuffix>Avenue Ct</StreetSuffix>
<StateOrProvince>WA</StateOrProvince>
</StreetAddress>
<MLSInformation>
<ListingStatus Status="Active"/>
<StatusChangeDate>2015-07-05T23:48:53.410</StatusChangeDate>
</MLSInformation>
<GeographicData>
<Latitude>11.111111</Latitude>
<Longitude>-111.111111</Longitude>
<County>Pierce</County>
</GeographicData>
</ResidentialProperty>
<ResidentialProperty>
<Listing>
<StreetAddress>
<StreetNumber>11211</StreetNumber>
<StreetName>11111334th</StreetName>
<StreetSuffix>Av1enue Ct</StreetSuffix>
<StateOrProvince>WA</StateOrProvince>
</StreetAddress>
<MLSInformation>
<ListingStatus Status="Active"/>
<StatusChangeDate>2017-07-05T23:48:53.410</StatusChangeDate>
</MLSInformation>
<GeographicData>
<Latitude>11.111111</Latitude>
<Longitude>-111.111111</Longitude>
<County>Pie2rce</County>
</GeographicData>
</ResidentialProperty>
</array>
I am intending to split the above into:
1. Two separate nodes with root ResidentialProperty
2. Then be able to perform XPATH operations on each of these nodes.
P.S: This is sample data and not similar to the actual data set I am working with. Just tried to use this to explain the problem I am trying to solve.
EDIT : I think I've misunderstood the question. New approach.
We use xpathApply, toString.XMLNode and xmlParseString to extract specific nodes in 2 objects.
Parse the XML file and exctract the nodes :
library(XML) :
doc=xmlParse("pathtoyourXML.xml")
result1=xmlParseString(toString.XMLNode(xpathApply(doc,"(//ResidentialProperty)[1]")))
result2=xmlParseString(toString.XMLNode(xpathApply(doc,"(//ResidentialProperty)[2]")))
We have 2 objects, we evaluate them with :
from.result1=xpathApply(result1,"//StreetAddress")
from.result2=xpathApply(result2,"//StreetAddress")
Sidenote : your XML is not valid. Listings elements are not closed.
EDIT 2 : In fact, you can use XPathApply on a previously "extracted" nodeset :
foo=xpathApply(doc,"(//ResidentialProperty)[2]")
xpathApply(foo[[1]],"//StreetAddress")
foo does not contain the result of the previous xpath expression ((//ResidentialProperty)[2]) but the whole XML nodeset.
I am a medical doctor trying to model a drugs to enzymes database and am starting with a CSV file I use to load my data into the Gephi graph layouting program. I understand the power of a graph db but am illiterate with cypher:
The current CSV has the following format:
source;target;arc_type; <- this is an header needed for Gephi import
artemisinin;2B6;induces;
...
amiodarone;1A2;represses;
...
3A457;carbamazepine;metabolizes;
These sample records show the three types of relationships. Drugs can repress or augment a cytochrome, and cytochromes metabolize drugs.
Is there a way to use this CSV as is to load into neo4j and create the graph?
Thank you very much.
In neo4j terminology, a relationship must have "type", and a node can have any number of labels. It looks like your use case could benefit from labelling your nodes with either Drug or Cytochrome.
Here is a possible neo4j data model for your use case:
(:Drug)-[:MODULATES {induces: false}]->(:Cytochrome)
(:Cytochrome)-[:METABOLIZES]->(:Drug)
The induces property has a boolean value indicating whether a drug induces (true) or represses (false) the related cythochrome.
The following is a (somewhat complex) query that generates the above data model from your CSV file:
USING PERIODIC COMMIT 500
LOAD CSV WITH HEADERS FROM 'file:///Drugs.csv' AS line FIELDTERMINATOR ';'
WITH line,
CASE line.arc_type
WHEN 'metabolizes' THEN {a: [1]}
WHEN 'induces' THEN {b: [true]}
ELSE {b: [false]}
END AS todo
FOREACH (ignored IN todo.a |
MERGE (c:Cytochrome {id: line.source})
MERGE (d:Drug {id: line.target})
MERGE (c)-[:METABOLIZES]->(d)
)
FOREACH (induces IN todo.b |
MERGE (d:Drug {id: line.source})
MERGE (c:Cytochrome {id: line.target})
MERGE (d)-[:MODULATES {induces: induces}]->(c)
)
The FOREACH clause does nothing if the value after the IN is null.
Yes it's possible, but you will need to install APOC : a list of usefull stored procedures for Neo4j. You can find it here : https://neo4j-contrib.github.io/neo4j-apoc-procedures/
Then you should put your CSV file into the import folder of Neo4j, and run those queries :
The first one to create a unique constraint on :Node(name) :
CREATE CONSTRAINT ON (n:Node) ASSERT n.name IS UNIQUE;
And then this query to import your data :
USING PERIODIC COMMIT 500
LOAD CSV WITH HEADERS FROM 'file:///my-csv-file.csv' AS line
MERGE (n:Node {name:line.source})
MERGE (m:Node {name:line.target})
CALL apoc.create.relationship(n, line.arc_type,{}, m)
I'm working with a well-structured XML file. So far, I have successfully accessed elements of this dataset that are only one layer/subfield deep. However, now I need to access one type of data that is more deeply embedded within this data structure, and the expected method is not working...
Excerpt from the XML data; this is the "target" field that I need to access, where each node (i.e. drug) can have between 0 and N targets (I am arbitrarily setting N to 20 for now, since I'm not sure what this value is for the entire dataset):
<targets> --> 51st field in each node
<target> --> there are a variable number of targets per drug
<id>BE0000048</id> --> this is the value I want for each Target
<name>Prothrombin</name>
<organism>Human</organism>
<actions>
<action>inhibitor</action>
</actions>
<references>
<articles>
<article>
<pubmed-id>10505536</pubmed-id>
<citation>Turpie AG: Anticoagulants in acute coronary syndromes.
...
I have determined that the main Target field that I need is Field 51 within each node's structure, thus the hardcoded value below. I would think that accessing the i'th node's id value within the j'th target within the node's Target field should have an index of [[i]][[51]][[j]][[1]] or [[i]][[51]][[j]][['id']]:
This is my code that isn't working as expected:
Target <- array(1:NumNodes, dim=c(1,NumNodes,MaxTargets))
for (i in 1:NumNodes){
for (j in 1:MaxTargets){
Target[i][j] <- Data[[i]][[51]][[j]][[1]]
}
}
The behavior I'm seeing is that I can extend the subscripts out numerous levels on the command line, and never narrow the result any more than the following:
> Data[[1]][[51]][[1]][[1]][[1]][[1]][[1]][[1]][[1]][[1]]
[1] "BE0000048ProthrombinHumaninhibitor10505536Turpie AG: Anticoagulants...
It doesn't seem to matter how many subscripts I add; all of the fields in the Target subfield are always conjoined and don't seem to be able to be separated...
Confusingly, when I run my code, I get the following error message:
Error in Data[[i]][[51]][[1]] : subscript out of bounds
... which doesn't seem to make sense, given that I am limiting i to the number of nodes, and that there is no error thrown for even the ridiculously long list of subscripts show above, when I query that phrase on the command line...
Thanks in advance for any insights you can provide.
Thanks for your suggestion, cderv; I will plan to check out the xml2 package and XPATH. I really appreciate your willingness to provide an example.
I am pasting what should be a functional subset of my XML file; however, now instead of the "targets" field being the 51st field, it is the sixth. Again, it is the targets --> target --> id value that I want to report for each target, with each node having a variable number of target values. My code follows the XML content.
<?xml version="1.0" encoding="UTF-8"?>
<drugbank xmlns="http://www.drugbank.ca" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.drugbank.ca http://www.drugbank.ca/docs/drugbank.xsd" version="5.0" exported-on="2017-07-06">
<drug type="biotech" created="2005-06-13" updated="2016-08-17">
<drugbank-id primary="true">DB00001</drugbank-id>
<drugbank-id>BTD00024</drugbank-id>
<drugbank-id>BIOD00024</drugbank-id>
<name>Lepirudin</name>
<description>Lepirudin is identical to natural hirudin except for substitution of leucine for isoleucine at the N-terminal end of the molecule and the absence of a sulfate group on the tyrosine at position 63. It is produced via yeast cells. Bayer ceased the production of lepirudin (Refludan) effective May 31, 2012.</description>
<targets>
<target>
<id>BE0000048</id>
<name>Prothrombin</name>
<organism>Human</organism>
<actions>
<action>inhibitor</action>
</actions>
<references>
<articles>
<article>
<pubmed-id>10505536</pubmed-id>
<citation>Turpie AG: Anticoagulants in acute coronary syndromes. Am J Cardiol. 1999 Sep 2;84(5A):2M-6M.</citation>
</article>
<article>
<pubmed-id>10912644</pubmed-id>
<citation>Warkentin TE: Venous thromboembolism in heparin-induced thrombocytopenia. Curr Opin Pulm Med. 2000 Jul;6(4):343-51.</citation>
</article>
</articles>
</references>
<known-action>yes</known-action>
</target>
</targets>
</drug>
</drugbank>
Now that I have significantly truncated the above file, my code is now giving an error message that any subscripts above Data[[1]][[1]] are out of bounds, but hopefully this code gives you an idea of what I'm aiming to do...
library(XML)
# Save the database file as a tree structure
xmldata = xmlRoot(xmlTreeParse("DrugBank_TruncatedDatabase_v4_Tiny.xml"))
# Number of nodes in the entire database file
NumNodes <- xmlSize(xmldata)
MaxTargets <- 20
Data <- xmlSApply(xmldata, function(x) xmlSApply(x, xmlValue))
Target <- array(1:NumNodes, dim=c(1,NumNodes,MaxTargets))
for (i in 1:NumNodes){
for (j in 1:MaxTargets){
Target[i][j] <- Data[[i]][[5]][[j]][[1]]
}
}
Thanks for your input!