I'm currently working on a Twitter bot that automatically reply messages, I'm doing this by using tweepy (the official python twitter library)
I need to filter messages based on the created time as I don't want to reply same message twice. Now the problem is that the API endpoint returns created_timestamp as string representation of positive integers.
Below is an example of data returned as per the doc
{
"next_cursor": "AB345dkfC",
"events": [
{ "id": "110", "created_timestamp": "1639919665615", ... },
{ "id": "109", "created_timestamp": "1639865141987", ... },
{ "id": "108", "created_timestamp": "1639827437833", ... },
{ "id": "107", "created_timestamp": "1639825389806", ... },
{ "id": "106", "created_timestamp": "1639825389796", ... },
{ "id": "105", "created_timestamp": "1639825389768", ... },
...
]
}
My question is "How do I convert the created_timestamp to a valid date using python" ?.
You might play with timestamps on this resource
And in your case could use methods like:
timestamp = int('timestamp_string')
datetime.fromtimestamp(timestamp, tz=None)
date.fromtimestamp(timestamp)
From the datetime standard library. But integers after the first line are already well comparable if the task is to distinguish differences between the timestamps.
Related
My device takes measuremets more often than it communicates with MQTT broker, so there can be more than one timestamb in each message, like this:
my/device/telemetry 1651396728000:22,13;1651400328000:25,10;...so on
I want to use built-in Thingsboard MQTT Integration with my custom Upload Converter, but I can't find proper format for result object with multiple timestamps in it (how it was in Gateway Telemetry API)
The output of your data converter should be an array like this:
var result = [
{
"deviceName": "88888888",
"deviceType": "tracker",
"attributes": {
"att1": "val1",
},
"telemetry": {
"ts": 1652738915000,
"values": {
"blah": "blooo",
"External Voltage": 12812
}
}
},
{same},
{similar}
]
I am using API version 2.0 and unable to fetch the user.fields results. All other parameters seem to be returning results correctly. I'm following this documentation.
url = "https://api.twitter.com/2/tweets/search/all"
query_params = {
"query": "APPL",
"max_results": "10",
"tweet.fields": "created_at,lang,text,author_id",
"user.fields": "name,username,created_at,location",
"expansions": "referenced_tweets.id.author_id",
}
response = requests.request("GET", url, headers=headers, params=query_params).json()
Sample result:
{
'author_id': '1251347502013521925',
'text': 'All conspiracy. But watch for bad news on Apple. Such a vulnerable stocktechnically for the biggest market cap # $2.1T ( Thanks Jay). This is the glue for the bulls. But, they stopped innovating when Steve died, built a fancy office and split the stock. $appl',
'lang': 'en',
'created_at': '2021-06-05T02:33:48.000Z',
'id': '1401004298738311168',
'referenced_tweets': [{
'type': 'retweeted',
'id': '1401004298738311168'
}]
}
As you can see, the following information is not returned: name, username, and location.
Any idea how to retrieve this info?
Your query does actually return the correct data. I tested this myself.
A full example response will be structured like this:
{
"data": [
{
"created_at": "2021-06-05T02:33:48.000Z",
"lang": "en",
"id": "1401004298738311168",
"text": "All conspiracy. But watch for bad news on Apple. Such a vulnerable stocktechnically for the biggest market cap # $2.1T ( Thanks Jay). This is the glue for the bulls. But, they stopped innovating when Steve died, built a fancy office and split the stock. $appl",
"author_id": "1251347502013521925",
"referenced_tweets": [
{
"type": "retweeted",
"id": "1401004298738311168"
}
]
}
],
"includes": {
"users": [
{
"name": "Gary Casper",
"id": "1251347502013521925",
"username": "Hisel1979",
"created_at": "2020-07-11T13:39:58.000Z"
}
]
}
}
The sample result you provided comes from within the data object. However, the expanded object data will be nested in the includes object (in your case name, username, and location). The corresponding user object can be referenced via the author_id field.
I'm trying to create a new device with sensor(s).
This is the payload I'm sending to create the new device:
{"Name":"DeviceABC","HardwareId":"D4xxx425","SpaceId":"xxxx-xxx-xx-xx-xxx","Status":"Provisioned","CreateIoTHubDevice":false,"Properties":[{"Name":"VendorName","Value":"MyVendor"},{"Name":"VendorDeviceId","Value":"D4xxx19425"},{"Name":"VendorDeviceType","Value":"electricity"}],"Sensors":[{"pollRate":0,"id":null,"dataType":"Json","dataUnitType":"KilowattHourEnergy","deviceId":null,"portType":null,"port":"electricity","spaceId":null,"type":"Classic"}]}
In this case I want to use a built in type. KWh
{
"id": 186,
"category": "SensorDataUnitType",
"name": "KilowattHourEnergy",
"disabled": false,
"logicalOrder": 0,
"friendlyName": "kWh"
}
The SensorDataType is :
{
"id": 314,
"spaceId": "xxxx-xx-xxx-xx-xxxx",
"category": "SensorDataType",
"name": "Json",
"disabled": false,
"logicalOrder": 0
}
When I do this for other devices without specifying a dataUnitType in the sensor object, it works fine. But as soon as I include it i get this:
{
"error": {
"code": "400.600.000.000",
"message": "Invalid datatype/dataunittype combination used on sensor."
}}
There seems to be a naming convention between SensorDataType and SensorDataUnitType. The convention is that the SensorDataUnitType needs to end with the full SensorDataType. In your example you have:
"dataType":"Json",
"dataUnitType":"KilowattHourEnergy",
But according to the convention it should be
"dataType":"Json",
"dataUnitType":"KilowattHourEnergyJson",
Of course you can't just change KilowattHourEnergy because it's in a system ontology. So to get it working I had to create KilowattHourEnergyJson as a new type.
I guess the most complete answer would include that in your case the SensorDataType probably shouldn't be JSON but should be Energy.
I am trying to get get ownership information against AssetIDs through the Youtube ContentID API.
I can see the data that I need through the API Explorer but cant seem to drill down the data using dot notation.
Here is the output from the API explorer:
{
"kind": "youtubePartner#asset",
"id": "A146063471697194",
"type": "music_video",
"ownership": {
"kind": "youtubePartner#rightsOwnership",
"general": [
{
"ratio": 100,
"owner": "Indmusic",
"type": "exclude"
}
]
},
"ownershipEffective": {
"kind": "youtubePartner#rightsOwnership",
"general": [
{
"ratio": 100,
"owner": "Indmusic",
"type": "exclude"
}
]
}
}
When accessing the "owner" I receive undefined instead of the listed value.
var url2 = _.sprintf('https://www.googleapis.com/youtube/partner/v1/assets/%s?fetchMetadata=effective&fetchOwnership=effective&key=%s',id,API_KEY);
var result2 = JSON.parse(UrlFetchApp.fetch(url2, getUrlFetchOptions()).getContentText());
Logger.log(result2.ownership.general.owner);
returns undefined
I have tried both ownershipEffective and ownership and they are both undefined.
I can log data from result2.ownership.general but nothing below that.
You can tell that general is an array by the [brackets] in:
"general": [
{
"ratio": 100,
"owner": "Indmusic",
"type": "exclude"
}
]
Try:
Logger.log(result2.ownership.general[0].owner);
general, having been declared an array, requires a position [0] even though there is only 1 item in the array.
Elasticsearch experts,
I have been unable to find a simple way to just tell ElasticSearch to insert the _timestamp field for all the documents that are added in all the indices (and all document types).
I see an example for specific types:
http://www.elasticsearch.org/guide/reference/mapping/timestamp-field/
and also see an example for all indices for a specific type (using _all):
http://www.elasticsearch.org/guide/reference/api/admin-indices-put-mapping/
but I am unable to find any documentation on adding it by default for all documents that get added irrespective of the index and type.
Elasticsearch used to support automatically adding timestamps to documents being indexed, but deprecated this feature in 2.0.0
From the version 5.5 documentation:
The _timestamp and _ttl fields were deprecated and are now removed. As a replacement for _timestamp, you should populate a regular date field with the current timestamp on application side.
You can do this by providing it when creating your index.
$curl -XPOST localhost:9200/test -d '{
"settings" : {
"number_of_shards" : 1
},
"mappings" : {
"_default_":{
"_timestamp" : {
"enabled" : true,
"store" : true
}
}
}
}'
That will then automatically create a _timestamp for all stuff that you put in the index.
Then after indexing something when requesting the _timestamp field it will be returned.
Adding another way to get indexing timestamp. Hope this may help someone.
Ingest pipeline can be used to add timestamp when document is indexed. Here, is a sample example:
PUT _ingest/pipeline/indexed_at
{
"description": "Adds indexed_at timestamp to documents",
"processors": [
{
"set": {
"field": "_source.indexed_at",
"value": "{{_ingest.timestamp}}"
}
}
]
}
Earlier, elastic search was using named-pipelines because of which 'pipeline' param needs to be specified in the elastic search endpoint which is used to write/index documents. (Ref: link) This was bit troublesome as you would need to make changes in endpoints on application side.
With Elastic search version >= 6.5, you can now specify a default pipeline for an index using index.default_pipeline settings. (Refer link for details)
Here is the to set default pipeline:
PUT ms-test/_settings
{
"index.default_pipeline": "indexed_at"
}
I haven't tried out yet, as didn't upgraded to ES 6.5, but above command should work.
You can make use of default index pipelines, leverage the script processor, and thus emulate the auto_now_add functionality you may know from Django and DEFAULT GETDATE() from SQL.
The process of adding a default yyyy-MM-dd HH:mm:ss date goes like this:
1. Create the pipeline and specify which indices it'll be allowed to run on:
PUT _ingest/pipeline/auto_now_add
{
"description": "Assigns the current date if not yet present and if the index name is whitelisted",
"processors": [
{
"script": {
"source": """
// skip if not whitelisted
if (![ "myindex",
"logs-index",
"..."
].contains(ctx['_index'])) { return; }
// don't overwrite if present
if (ctx['created_at'] != null) { return; }
ctx['created_at'] = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(new Date());
"""
}
}
]
}
Side note: the ingest processor's Painless script context is documented here.
2. Update the default_pipeline setting in all of your indices:
PUT _all/_settings
{
"index": {
"default_pipeline": "auto_now_add"
}
}
Side note: you can restrict the target indices using the multi-target syntax:
PUT myindex,logs-2021-*/_settings?allow_no_indices=true
{
"index": {
"default_pipeline": "auto_now_add"
}
}
3. Ingest a document to one of the configured indices:
PUT myindex/_doc/1
{
"abc": "def"
}
4. Verify that the date string has been added:
GET myindex/_search
An example for ElasticSearch 6.6.2 in Python 3:
from elasticsearch import Elasticsearch
es = Elasticsearch(hosts=["localhost"])
timestamp_pipeline_setting = {
"description": "insert timestamp field for all documents",
"processors": [
{
"set": {
"field": "ingest_timestamp",
"value": "{{_ingest.timestamp}}"
}
}
]
}
es.ingest.put_pipeline("timestamp_pipeline", timestamp_pipeline_setting)
conf = {
"settings": {
"number_of_shards": 2,
"number_of_replicas": 1,
"default_pipeline": "timestamp_pipeline"
},
"mappings": {
"articles":{
"dynamic": "false",
"_source" : {"enabled" : "true" },
"properties": {
"title": {
"type": "text",
},
"content": {
"type": "text",
},
}
}
}
}
response = es.indices.create(
index="articles_index",
body=conf,
ignore=400 # ignore 400 already exists code
)
print ('\nresponse:', response)
doc = {
'title': 'automatically adding a timestamp to documents',
'content': 'prior to version 5 of Elasticsearch, documents had a metadata field called _timestamp. When enabled, this _timestamp was automatically added to every document. It would tell you the exact time a document had been indexed.',
}
res = es.index(index="articles_index", doc_type="articles", id=100001, body=doc)
print(res)
res = es.get(index="articles_index", doc_type="articles", id=100001)
print(res)
About ES 7.x, the example should work after removing the doc_type related parameters as it's not supported any more.
first create index and properties of the index , such as field and datatype and then insert the data using the rest API.
below is the way to create index with the field properties.execute the following in kibana console
`PUT /vfq-jenkins
{
"mappings": {
"properties": {
"BUILD_NUMBER": { "type" : "double"},
"BUILD_ID" : { "type" : "double" },
"JOB_NAME" : { "type" : "text" },
"JOB_STATUS" : { "type" : "keyword" },
"time" : { "type" : "date" }
}}}`
the next step is to insert the data into that index:
curl -u elastic:changeme -X POST http://elasticsearch:9200/vfq-jenkins/_doc/?pretty
-H Content-Type: application/json -d '{
"BUILD_NUMBER":"83","BUILD_ID":"83","JOB_NAME":"OMS_LOG_ANA","JOB_STATUS":"SUCCESS" ,
"time" : "2019-09-08'T'12:39:00" }'