When using the Model Derivative API I successfully generate an obj representation from a step file. But within that process are some quirks that I do not fully understand:
The Post job has a output.advanced.exportFileStructure property which can be set to "multiple" and a output.advanced.objectIds property which lets you specify the which parts of the model you would like to extract. From the little that the documentation states, I would expect to receive one obj file per requested objectid. Which from my experience is not the case. So does this only work for compressed files like .iam and .ipt?
Well, anyway, instead I get one obj file for all objectIds with one polygon group per objectId. The groups are named (duh!), so I would expect them to be named like their objectId but it seams like the numbers are assigned in a random way. So how should I actually map an objectId to its corresponding 3d part? Is there any way to link the information from GET :urn/metadata/:guid/properties back to their objects?
I hope somebody can shine light on this. If you need more information I can provide you with the original step file, the obj and my server log.
You misunderstood the objectIds property of the derivatives API: specifying that field allows you to export only specific components to a single obj, for example your car model has 1000 different components, but you just want to export components that represent the engine: [34, 56, 76] (I just made those up...). If you want to export each objectId to a separate obj file, you need to fire multiple jobs. the "exportFileStructure" option only applies to composite designs (i.e. assemblies) single: creates one OBJ file for all the input files (assembly file), multiple: creates a separate OBJ file for each object. A step file is not a composite design.
As you noticed the obj groups are named randomly. As far as I know there is no easy reliable way to map a component in the obj file to the original objectId because .obj is a very basic format and it doesn't support metadata. You could use a geometric approach (finding where is the component in space, use bounding boxes, ...) to achieve the mapping but it could be challenging with complex models.
Related
After writing a few files for saving in my JSON file in Godot. I saved the information in a variable called LData and it is working. LData looks like this:
{
"ingredients":[
"[KinematicBody2D:1370]"
],
"collected":[
{
"iname":"Pineapple",
"collected":true
},{
"iname":"Banana",
"collected":false
}
]
}
What does it mean when the file says KinematicBody2D:1370? I understand that it is saving the node in the file - or is it just saving a string? Is it saving the node's properties as well?
When I tried retrieving data - a variable that is assigned to the saved KinematicBody2D.
Code:
for ingredient in LData.ingredients:
print(ingredient.iname)
Error:
Invalid get index name 'iname' (on base: 'String')
I am assuming that the data is stored as a String and I need to put some code to get the exact node it saved. Using get_node is also throwing an error.
Code:
for ingredient in LData.ingredients:
print(get_node(ingredient).iname)
Error:
Invalid get index 'iname' (on base: 'null instance')
What information is it exactly storing when it says [KinematicBody2D:1370]? How do I access the variable iname and any other variables - variables that are assigned to the node when the game is loaded - and is not changed through the entire game?
[KinematicBody2D:1370] is just the string representation of a Node, which comes from Object.to_string:
Returns a String representing the object. If not overridden, defaults to "[ClassName:RID]".
If you truly want to serialize an entire Object, you could use Marshalls.variant_to_base64 and put that string in your json file. However, this will likely bloat your json file and contain much more information than you actually need to save a game. Do you really need to save an entire KinematicBody, or can you figure out the few properties that need to be saved (postion, type of object, ect.) and reconstruct the rest at runtime?
You can also save objects as Resources, which is more powerful and flexible than a JSON file, but tends to be better suited to game assets than save games. However, you could read the Resource docs and see if saving Resources seems like a more appropriate solution to you.
I have this solution that helps me creating a Wizard to fill some data and turn into JSON, the problem now is that I have to receive a xlsx and turn specific data from it into JSON, not all the data but only the ones I want which are documented in the last link.
In this link: https://stackblitz.com/edit/xlsx-to-json I can access the excel data and turn into object (when I print document.getElementById('output').innerHTML = JSON.parse(dataString); it shows [object Object])
I want to implement this solution and automatically get the specified fields in the config.ts but can't get to work. For now, I have these in my HTML and app-component.ts
https://stackblitz.com/edit/angular-xbsxd9 (It's probably not compiling but it's to show the code only)
It wasn't quite clear what you were asking, but based on the assumption that what you are trying to do is:
Given the data in the spreadsheet that is uploaded
Use a config that holds the list of column names you want returned in the JSON when the user clicks to download
based on this, I've created a fork of your sample here -> Forked Stackbliz
what I've done is:
use the map operator on the array returned from the sheet_to_json method
Within the map, the process is looping through each key of the record (each key being a column in this case).
If a column in the row is defined in the propertymap file (config), then return it.
This approach strips out all columns you don't care about up front. so that by the time the user clicks to download the file, only the columns you want are returned. If you need to maintain the original columns, then you can move this logic somewhere more convenient for you.
I also augmented the property map a little to give you more granular control over how to format the data in the returned JSON. i.e. don't treat numbers as strings in the final output. you can use this as a template if it suites your needs for any additional formatting.
hope it helps.
I'm trying to bulk load a massive dataset into a single Neo4j instance. Each node will represent a general Entity which will have specific properties, e.g.:
label
description
date
In addition to these there are zero or more properties specific to the Entity type, so for example if the Entity is a Book, the properties will look something like this:
label
description
date
author
first published
...
And if the Entity is a Car the properties will look something like this:
label
description
date
make
model
...
I first attempted to import the dataset by streaming each Entity from the filesystem and using Cypher to insert each node (some 200M entities and 400M relationships). This was far too slow (as I had expected but worth a try).
I've therefore made use of the bulk import tool neo4j-admin import which works over a CSV file which has specified headers for each property. The problem I'm having is that I don't see a way to add the additional properties specific to each Entity. The only solution I can think of is to include a CSV column for every possible property expressed across the set of entities, however I believe I will end up with a bunch of redundant properties on all my entities.
EDIT1
Each Entity is unique, so there will be some 1M+ types (labels in Neo4j)
Any suggestions on how to accomplish this would be appreciated.
The import command of neo4j-admin supports importing from multiple node and relationship files.
Therefore, to support multiple "types" of nodes (called labels in neo4j), you can split your original CSV file into separate files, one for each Entity "type". Each file can then have data columns specific to that type.
[UPDATED]
Here is one way to support the import of nodes having arbitrary schemata from a CSV file.
The CSV file should not have a header.
Every property on a CSV line should be represented by an adjacent pair of values: 1 for the property name, and 1 for the property value.
With such a CSV file, this code (which takes advantage of the APOC function apoc.map.fromValues) should work:
LOAD CSV FROM "file:///mydata.csv" AS line
CREATE (e:Entity)
SET e = apoc.map.fromValues(line);
NOTE: the above code would use strings for all values. If you want some property values to be integers, booleans, etc., then you can do something like this instead (but this is probably only sensible if the same property occurs frequently; if the property does not exist on a line no property will be created in the node, but it will waste some time):
LOAD CSV FROM "file:///mydata.csv" AS line
WITH apoc.map.fromValues(line) AS data
WITH apoc.map.setKey(data, 'foo', TOINTEGER(data.foo)) AS data
CREATE (e:Entity)
SET e = apoc.map.fromValues(line);
I have four different MySQL databases that I need to convert into Linked Data and then run queries on the aggregated data. I have generated the D2RQ maps separately and then manually copied them together into a single file. I have read up some material on customizing the maps but am finding it hard to do so in my case because:
The ontology classes do not correspond to table names. In fact, most classes are column headers.
When I open the combined mapping in Protege, it generates only 3 classes (ClassMap, Database, and PropertyBridge) and lists all the column headers as instances of these.
If I import this file into my ontology, everything becomes annotation.
Please suggest an efficient way to generate a single graph that is formed by mapping these databases to my ontology.
Here is an example. I am using the EEM ontology to refine the mapping file generated by D2RQ. This is a section from the mapping file:
map:scan_event_scanDate a d2rq:PropertyBridge;
d2rq:belongsToClassMap map:scan_event;
d2rq:property vocab:scan_event_scanDate;
d2rq:propertyDefinitionLabel "scan_event scanDate";
d2rq:column "scan_event.scanDate";
# Manually added
d2rq:datatype xsd:int;
.
map:scan_event_scanTime a d2rq:PropertyBridge;
d2rq:belongsToClassMap map:scan_event;
d2rq:property vocab:scan_event_scanTime;
d2rq:propertyDefinitionLabel "scan_event scanTime";
d2rq:column "scan_event.scanTime";
# Manually added
d2rq:datatype xsd:time;
The ontology I am interested in has the following:
Data property: eventOccurredAt
Domain: EPCISevent
Range: datetime
Now, how should I modify the mapping file so that the date and time are two different relationships?
I think the best way to generate a single graph of your 4 databases is to convert them one by one to a Jena Model using D2RQ, and then use the Union method to create a global model.
For your D2RQ mapping file, you should read carefully The mapping language, it's not normal to have classes corresponding to columns.
If you give an example of your table structure, I can give you an illustration of a mapping file.
Good luck
I've got parent & child data which I am trying to convert into a flat file using Dell Boomi. The flat file structure is column-based and needs a structure where the lines data is on the same line of the file as the header data.
For instance, a header record which has 4 line items needs to generate a file with a structure of:
[header][line][line][line][line]
Currently what I have been able to generate is either
[header][line]
[header][line]
[header][line]
[header][line]
or
[header]
[line]
[line]
[line]
[line]
I think using the results of the second profile and then using a data processing shape to strip [\r][\n] might be my best option but wanted to check before implementing it.
I created a user define function for each field of data. For this example, lets just speak for "FirstName."
I used a branch immediately-Branch 1 Split the documents, flow controlled them one at a time, and entered the map, then stopped. Branch two contained a message where I built the new file. I typed a static value with the header name, then used a dynamic process property as the parameter next to the header.
User defined function for "FirstName" accepts the first name as input, appends the dynamic process property (need to define a dynamic property for each field), prepends your delimiter of choice, then sets the same dynamic process property.
This was all done with NO scripting at all. I hope this helps. I can provide screenshots if you need more clarification.